ABRASIVE GRAIN ON THE BASIS OF ELECTROFUSED ALUMINUM OXIDE WITH A SURFACE COATING COMPRISING TITANIUM OXIDE AND/OR CARBON

The present invention relates to an abrasive grain on the basis of electrofused aluminum oxide with a surface coating comprising titanium oxide and/or carbon, wherein compounds formed of titanium oxide and/or carbon particles at the abrasive grain surface by means of a temperature treatment are tightly connected to the abrasive grain surface without an additional binding agent. 1. An abrasive grain on the basis of electrofused aluminum oxide with a surface coating comprising titanium oxide and/or carbon , wherein compounds formed of titanium oxide and/or carbon particles at the abrasive grain surface by a temperature treatment are tightly connected to the abrasive grain surface ,characterized in thata direct tight bond without an additional binding agent is formed between the abrasive grain surface and the titanium oxide and/or carbon compounds comprising an average particle size of between 0.01 μm and 10 μm.2. The abrasive grain according to claim 1 ,characterized in thatthe titanium oxide and/or carbon compounds tightly connected on the surface have an average particle size in the range of between 1 μm and 10 μm.3. The abrasive grain according to claim 1 ,characterized in thatthe percentage by weight of the surface coating is between 0.01 and 5% by weight, based on the weight of the untreated abrasive grain.4. The abrasive grain according to claim 1 ,characterized in thatthe surface coating has a layer thickness of less than 10 μm.5. The abrasive grain according to claim 1 ,characterized in thatthe titanium oxide and/or carbon particles are sintered onto the abrasive grain surface at a temperature of more than 800° C.6. The abrasive grain according to claim 1 ,characterized in that{'sub': 2', '2, 'the ratio of TiOto carbon is between 10:1 and 1:10 prior to the sintering when using mixtures of TiOand Carbon.'}7. A method for making an abrasive grain on basis of electrofused aluminum oxide with a surface coating comprising titanium oxide and/or carbon claim 1 , ...

FRACTURE-SEPARATED ENGINE COMPONENT AND METHOD FOR MANUFACTURING SAME

A fracture-separated engine component and a method for manufacturing same is described. The engine component includes first and second parts each having a fracture surface extending along a fracture plane. Prior to fracture separation, the engine component is case-hardened by nitriding and has a nitriding hardness depth of 0.4 to 0.7 mm. After the nitriding, the engine component is cooled such that each one of the subsequent fracture surfaces reaches a temperature below −100° C. The fracture separation is then performed. After, the engine component has two fracture surfaces along a fracture plane, the fracture surfaces having hardened peripheral areas and unhardened core sections. No point of the unhardened core sections located in the fracture plane is located at a distance greater than 1.1 mm from a nearest hardened peripheral area. Each one of the fracture surfaces includes elongated partial fracture surfaces with a width of less than 3.2 mm. 1. A fracture-separated engine component for an internal combustion engine comprising first and second parts each having a fracture surface extending along a fracture plane , wherein:the engine component is case-hardened by nitriding and has a nitriding hardness depth of 0.4 to 0.7 mm;the two fracture surfaces have hardened peripheral areas and unhardened core sections; andno point of the unhardened core sections located in the fracture plane is located at a distance greater than 1.1 mm from a nearest hardened peripheral area.2. The fracture-separated engine component according to claim 1 , wherein:at least one opening extends longitudinally in the fracture plane of each of the two fracture surfaces, such that each fracture surface is separated into at least two elongated partial fracture surfaces; andnone of the at least two elongated partial fracture surfaces has a width of more than 3.2 mm.3. The fracture-separated engine component according to claim 2 , wherein:at least one of the two fracture surfaces comprises at least ...

ELECTRICAL CONNECTING DEVICE AND CHARGING CABLE FOR AN ELECTRIC VEHICLE

An electrical connecting device for a charging cable is for charging an electric vehicle. The electrical connecting device includes a network-side first connecting element for electrically connecting the connecting device to an electrical supply network and a charging-cable-side second connecting element for connecting the connecting device to a network-side connector of the charging cable. The first connecting element includes at least two contact elements, each connected in an electrically conductive manner to one of at least two contact elements of the second connecting element; and a first temperature sensor, used for temperature monitoring and which is electrically connected to the second connecting element via a communication cable. The second connecting element has a further contact, connectable to a corresponding further contact of the network-side connector of the charging cable to transmit a signal of the temperature sensor to the charging cable. 1. An electrical connecting device for a charging cable for charging an electric vehicle , the electrical connecting device comprising:a supply system-end first connecting device to electrically connecting the electrical connecting device to an electrical power supply system; anda charging cable-end second connecting device to electrically connecting the electrical connecting device to a supply system-end plug of the charging cable,the supply system-end first connecting device including at least two contact elements, each electrically conductively connected to one of at least two contact elements of the charging cable-end second connecting device,the supply system-end first connecting device including a first temperature sensor for temperature monitoring purposes,the first temperature sensor being electrically connected to the charging cable-end second connecting device via a communications line,the charging cable-end second connecting device including a further contact, electrically conductively connectable to a ...

SIMULATION MODEL OPTIMIZATION

A method can include providing a finite element grid described with respect to a lateral coordinate axis and a depth coordinate axis to model a multilayer sedimentary basin; coarsening the finite element grid with respect to the lateral coordinate axis to provide a coarsened finite element grid; performing a backstripping and forward simulation cycle using the coarsened finite element grid to provide geometry and porosity results for the model of the multilayer sedimentary basin; refining the finite element grid with respect to the lateral coordinate axis to provide a refined finite element grid; and performing backstripping and forward simulation cycle using the refined finite element grid and at least the porosity results to provide enhanced geometry and porosity results for the model of the multilayer sedimentary basin. Various other apparatuses, systems, methods, etc., are also disclosed. 1. A method comprising:providing a finite element grid described with respect to a lateral coordinate axis and a depth coordinate axis to model a multilayer sedimentary basin;coarsening the finite element grid with respect to the lateral coordinate axis to provide a coarsened finite element grid;performing a backstripping and forward simulation cycle using the coarsened finite element grid to provide geometry and porosity results for the model of the multilayer sedimentary basin;refining the finite element grid with respect to the lateral coordinate axis to provide a refined finite element grid; andperforming backstripping and forward simulation cycle using the refined finite element grid and at least the porosity results to provide enhanced geometry and porosity results for the model of the multilayer sedimentary basin.2. The method of wherein the backstripping and forward simulation cycle comprises decompacting a layer of the model of the multilayer sedimentary basin.3. The method of wherein the decompacting comprises estimating a present day porosity for the layer and ...

HEATABLE CONNECTION APPARATUS INCLUDING MEDIA-CONDUCTING, ELECTRICALLY HEATABLE HOSES

A heatable connection apparatus includes electrically heatable hoses and a junction piece having two nipples for corresponding ones of the hoses. Each hose has two electric heating elements embedded therein. The ends of the heating elements are routed out of the hose for connection. The heating elements from one hose end are connected to corresponding ones of the heating elements from the other hose end to form two heating-element pairs lying diametrically opposite one another. Each heating-element pair is bent downward and guided through with the crimp first from above under a bracket of the housing downward toward the housing bottom, from where it is deflected by 90° along the bottom of the junction piece in tight contact therewith. On the opposite side, the heating-element pair is guided upward and pushed with the crimp first from below and through the bracket. 1. A heatable connection apparatus comprising:a first media-conducting, electrically heatable hose having a first hose end and defining a first hose length;first and second electrical heating conductors embedded over at least a portion of the first hose length;a second media-conducting, electrically heatable hose having a second hose end and defining a second hose length;third and fourth electrical heating conductors embedded over at least a portion of the second hose length;said first and second heating conductors having respective end segments guided out of the end of said first heatable hose and said end segments being stripped of insulation;said third and fourth heating conductors having respective end segments guided out of the end of said second heatable hose and said end segments of said third and fourth heating conductors being stripped of insulation;a junction piece having first and second connecting nipples for receiving corresponding ones of said first and second hose ends thereon;said stripped end segments of said first and second heating conductors being connected to corresponding ones of said ...

Prognostic and therapeutic signature for malignant melanoma

The present invention relates to a method of predicting the course of disease in a patient having a malignant melanoma, the method comprising determining in melanoma cells comprised in a sample obtained from said malignant melanoma the presence or amount of at least five biomarkers selected from the group comprising or consisting of MTAP, PTEN, Bax, Bcl-X, β-Catenin, CD20, Cox-2, CD49d and MLH1, wherein the absence or decreased amount of MTAP and β-Catenin and/or the presence or increased amount of PTEN, Bax, Bcl-X, CD20, Cox-2, CD49d and MLH1, is associated with a disadvantageous course of disease.

Fuel Injection System

The present disclosure relates to a fuel injection system. Some examples may include: a low-pressure system providing the fuel; a fuel pump; a feed region for the fuel; a pressure chamber; a low-pressure region for supplying the pressure chamber with fuel; a high-pressure region into which the fuel is delivered from the pressure chamber; an inlet valve in the pressure chamber for letting fuel from the low-pressure region into the pressure chamber; and a nonreturn valve arranged upstream of the inlet valve in the direction of flow of the fuel preventing a fuel volume not delivered into the high-pressure region from flowing back out of the pressure chamber into the low-pressure system. 1. A fuel injection system for injecting a fuel into a combustion chamber of an internal combustion engine , the system comprising:a low-pressure system providing the fuel;a high-pressure fuel pump for applying pressure to the fuel provided by the low-pressure system;a feed region for feeding the fuel from the low-pressure system to the high-pressure fuel pump;a pressure chamber in which the high pressure is applied to the fuel;a low-pressure region fluidically connected to the feed region for supplying the pressure chamber with fuel;a high-pressure region into which the fuel is delivered from the pressure chamber;an inlet valve in the pressure chamber for letting fuel from the low-pressure region into the pressure chamber; anda nonreturn valve arranged upstream of the inlet valve in the direction of flow of the fuel preventing a fuel volume not delivered into the high-pressure region from flowing back out of the pressure chamber into the low-pressure system.2. The fuel injection system as claimed in claim 1 , wherein:the feed region comprises a feed line to feed the fuel from the low-pressure system to the high-pressure fuel pump, the feed line connecting the low-pressure system to a housing of the high-pressure fuel pump; andthe nonreturn valve is arranged in the feed line.3. The fuel ...

NUCLEAR FACILITY

A nuclear facility includes a fuel element pool which is filled with a cooling liquid. A fuel element rack, which is disposed in the fuel element pool, includes compartments for receiving fuel elements. The fuel elements received in the compartments are in direct contact with the cooling liquid in the fuel element pool. At least one cooling element is disposed in one of the compartments instead of a fuel element. The cooling element acts as a heat exchanger through which a coolant can flow, the cooling element is connected into a cooling circuit and the cooling element is immersed in the cooling liquid. 1. A nuclear facility , comprising:a fuel element pool filled with a cooling liquid;a fuel element rack disposed in said fuel element pool, said fuel element rack including compartments for receiving fuel elements;fuel elements received in said compartments and being in direct contact with the cooling liquid in said fuel element pool; anda cooling circuit; andat least one cooling element disposed in at least one of said compartments instead of at least one of said fuel elements, said at least one cooling element being immersed in the cooling liquid, being connected into said cooling circuit and acting as a heat exchanger through which the coolant can flow.2. The nuclear facility according to claim 1 , wherein said at least one cooling element is constructed for insertion in at least one of said compartments in said fuel element rack.3. The nuclear facility according to claim 2 , wherein said at least one cooling element has dimensions of a fuel element to be inserted in said fuel element rack claim 2 , and said dimensions of said at least one cooling element include at least a cross section a fuel element.4. The nuclear facility according to claim 1 , wherein said at least one cooling element is a suspension cooling element for suspension in said fuel element rack.5. The nuclear facility according to claim 1 , wherein said at least one cooling element includes at ...

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES

An image processing method including receiving a target image of a slide corresponding to a target specimen comprising a tissue sample of a patient; generating a machine learning system by processing a plurality of training images, each training image comprising an image of human tissue and a label characterizing at least one of a slide morphology, a diagnostic value, a pathologist review outcome, and an analytic difficulty; automatically identifying, using the machine learning system, an area of interest of the target image by analyzing microscopic features extracted from multiple image regions in the target image; determining, using the machine learning system, a probability of a target feature being present in the area of interest of the target image based on an average probability; and determining, using the machine learning system, a prioritization value, of a plurality of prioritization values. 120-. (canceled)21. An image processing method , comprising:receiving a target image of a slide corresponding to a target specimen comprising a tissue sample of a patient;generating a machine learning system by processing a plurality of training images, each training image comprising an image of human tissue and a label characterizing at least one of a slide morphology, a diagnostic value, a pathologist review outcome, and an analytic difficulty;automatically identifying, using the machine learning system, an area of interest of the target image by analyzing microscopic features extracted from multiple image regions in the target image;determining, using the machine learning system, a probability of a target feature being present in the area of interest of the target image based on an average probability;determining, using the machine learning system, a prioritization value, of a plurality of prioritization values, of the target image based on the probability of the target feature being present in the target image, the prioritization value comprising a first ...

NUCLEAR FACILITY WITH A FUEL POOL AND AN ASSOCIATED COOLING MODULE

A nuclear facility has a fuel pool containing a liquid and an associated cooling circuit for a circulating cooling agent. The cooling circuit contains a cooling module with a first heat exchanger which immerges into the liquid, a second heat exchanger which is located outside the fuel pool, and connecting lines between the first exchanger and the second heat exchanger. In order to provide for reliable cooling even if a filling level drops, the cooling module contains a lifting body and floats in the liquid such that its altitude varies with the filling level of the liquid in the fuel pool. 1. A nuclear facility , comprising:a fuel pool containing a liquid; and a cooling module with a first heat exchanger immerging into said liquid, said cooling module having a lifting body and floats in said liquid such that an altitude of said cooling module varies passively with a filling level of said liquid in said fuel pool;', 'a second heat exchanger disposed outside said fuel pool; and', 'connecting lines disposed between said first heat exchanger and said second heat exchanger., 'a cooling circuit for a circulating cooling agent, said cooling circuit containing2. The nuclear facility according to claim 1 , wherein said cooling module is configured such that in a floating state an uppermost part of said first heat exchanger is situated below a surface of said liquid.3. The nuclear facility according to claim 2 , wherein:said first heat exchanger has a heat transfer area; anda distance between an uppermost part of said heat transfer area and said surface of said liquid is in a range of several mm up to 5 m.4. The nuclear facility according to claim 1 , further comprising at least one guide element preventing lateral displacement of said cooling module.5. The nuclear facility according to claim 4 , wherein said at least one guide element prevents tilting of said cooling module.6. The nuclear facility according to claim 4 , wherein said at least one guide element contains a ...

SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES FOR CONTINUOUS BIOMARKER PREDICTION

Systems and methods are disclosed for processing digital images to predict at least one continuous value comprising receiving one or more digital medical images, determining whether the one or more digital medical images includes at least one salient region, upon determining that the one or more digital medical images includes the at least one salient region, predicting, by a trained machine learning system, at least one continuous value corresponding to the at least one salient region, and outputting the at least one continuous value to an electronic storage device and/or display. 1. A computer-implemented method for processing digital images to predict at least one continuous value , the method comprising:receiving one or more digital medical images;determining whether the one or more digital medical images includes at least one salient region;upon determining that the one or more digital medical images includes the at least one salient region, predicting, by a trained machine learning system, at least one continuous value corresponding to the at least one salient region; andoutputting the at least one continuous value to an electronic storage device and/or display.2. The computer-implemented method of claim 1 , wherein determining whether the one or more digital medical images includes the at least one salient region further comprises:breaking each of the one or more digital medical images into at least one region;determining that the at least one region is a salient region;identifying a location of the salient region; andflagging the salient region.3. The computer-implemented method of claim 2 , wherein determining that the at least one region is the salient region further comprises:generating, by a salient trained machine learning system, a saliency heatmap corresponding to the at least one region; andextracting, by the salient trained machine learning system, at least one relevant saliency region from the saliency heatmap.4. The computer-implemented method of ...

SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES FOR CONTINUOUS BIOMARKER PREDICTION

Systems and methods are disclosed for processing digital images to predict at least one continuous value comprising receiving one or more digital medical images, determining whether the one or more digital medical images includes at least one salient region, upon determining that the one or more digital medical images includes the at least one salient region, predicting, by a trained machine learning system, at least one continuous value corresponding to the at least one salient region, and outputting the at least one continuous value to an electronic storage device and/or display. 120-. (canceled)21. A computer-implemented method for using processed images to train a machine learning system to process medical images , the method comprising:receiving one or more digital medical images;identifying at least one salient region corresponding to the one or more digital medical images; and extracting at least one diagnostic feature vector/tensor from the at least one salient region; and', 'based on the at least one diagnostic feature vector/tensor, outputting and/or storing the at least one continuous value., 'upon identifying the at least one salient region, training the machine learning system to predict at least one continuous value from the at least one salient region, the training further comprising221. The computer-implemented method of claim , the identifying the at least one salient region further comprising:receiving salient training data, the salient training data including an indication of a presence or an absence of a salient region within the one or more digital medical images;breaking each of the one or more digital medical images into at least one region; andpredicting that the at least one region is the at least one salient region.232. The computer-implemented method of claim , wherein the salient training data further includes a location of the salient region.243. The computer-implemented method of claim , wherein the location of the salient region is ...

DEEP INTERACTIVE LEARNING FOR IMAGE SEGMENTATION MODELS

Described herein are systems and methods of training models to segment images. A device may identify a training dataset. The training dataset may include images each having a region of interest. The training dataset may include first annotations. The device may train, using the training dataset, an image segmentation model having parameters to generate a corresponding first segmented images. The device may provide the first segmented images for presentation on a user interface to obtain feedback. The device may receive, via the user interface, a feedback dataset including second annotations for at least a subset of the first segmented images. Each of the second annotations may label at least a second portion of the region of interest in a corresponding image of the subset. The device may retrain, using the feedback dataset received via the user interface, the image segmentation model. 1. A method of segmenting images , comprising:identifying, by a computing system, a first image having at least one first region of interest;applying, by the computing system, the first image to an image segmentation model, the segmentation model established using a dataset comprising (i) a subset of second images selected from a plurality of second images, each of the subset of second images having at least one second region of interest and (ii) a corresponding plurality of annotations for the subset of second images, each of the plurality of annotations identifying at least a portion of the at least second one region of interest in a corresponding second image in the subset;determining, by the computing system, from applying the first image to the image segmentation model, at least one segment identifying the at least one first region of interest in the first image; andproviding, by the computing system, an output based on the at least one segment identifying the at least one first region of interest in the image.2. The method of claim 1 , further comprising identifying claim 1 , by ...

SYSTEMS AND METHODS FOR MULTIPLE INSTANCE LEARNING FOR CLASSIFICATION AND LOCALIZATION IN BIOMEDICAL IMAGING

The present disclosure is directed to systems and methods for classifying biomedical images. A feature classifier may generate a plurality of tiles from a biomedical image. Each tile may correspond to a portion of the biomedical image. The feature classifier may select a subset of tiles from the plurality of tiles by applying an inference model. The subset of tiles may have highest scores. Each score may indicate a likelihood that the corresponding tile includes a feature indicative of the presence of the condition. The feature classifier may determine a classification result for the biomedical image by applying an aggregation model. The classification result may indicate whether the biomedical includes the presence or lack of the condition. 1. A method of training models for classifying biomedical images , comprising:identifying, by an image classifier executing on one or more processors, a plurality of tiles from a biomedical image, the biomedical image having a label indicating one of a presence or an absence of a condition within the biomedical image;applying, by the image classifier, an inference model having a plurality of parameters to the plurality of tiles to determine a score for each tile of the plurality of tiles from the biomedical image, the score indicating a likelihood of one of the presence or the absence of the condition;selecting, by the image classifier, a subset of tiles from the plurality of tiles based on the determined score for each tile;comparing, by the image classifier, the score determined for each tile of the subset of tiles to a threshold value for the label indicating one of the presence or the absence of the condition; andmodifying, by the image classifier, at least one parameter of the inference model based on comparing the score of each tile to the threshold value.2. The method of claim 1 , wherein comparing the score further comprises determining an error metric for each tile of the subset of tiles between the score for the tile ...

SYSTEMS AND METHODS FOR MULTIPLE INSTANCE LEARNING FOR CLASSIFICATION AND LOCALIZATION IN BIOMEDICAL IMAGING

The present disclosure is directed to systems and methods for classifying biomedical images. A feature classifier may generate a plurality of tiles from a biomedical image. Each tile may correspond to a portion of the biomedical image. The feature classifier may select a subset of tiles from the plurality of tiles by applying an inference model. The subset of tiles may have highest scores. Each score may indicate a likelihood that the corresponding tile includes a feature indicative of the presence of the condition. The feature classifier may determine a classification result for the biomedical image by applying an aggregation model. The classification result may indicate whether the biomedical includes the presence or lack of the condition. 1. A method of training models for classifying biomedical images , comprising:generating, by an image classifier executing on one or more processors, a plurality of tiles from each biomedical image of a plurality of biomedical images, the plurality of biomedical images including a first biomedical image having a first label indicating a presence of a first condition and a second biomedical image having a second label indicating a lack of presence of the first condition or a presence of a second condition;establishing, by the image classifier, an inference system to determine, for each tile of the plurality of tiles in each biomedical image of the plurality of biomedical images, a score indicating a likelihood that the tile includes a feature indicative of the presence of the first condition; selecting, by the image classifier, a first subset of tiles from the plurality of tiles having the highest scores;', 'comparing, by the image classifier, the scores of the tiles in the first subset to a first threshold value corresponding to the presence of the first condition; and', 'modifying, by the image classifier, the inference system responsive to determining that the scores of at least one tile of the first subset of tiles is below ...

HARDWARE COMPRESSION TO FIND BACKWARD REFERENCES WITH MULTI-LEVEL HASHES

Concurrently writing an uncompressed data element, if the uncompressed data element comprises an indication that it is valid, in a main hash table using a first address generated by a first hash function, and reading a first data element from the main hash table using the first address. Introducing a first pipeline delay for maintaining the uncompressed data element in a first data path until the first data element is read. Concurrently writing the first data element to a victim hash table, if the first data element comprises an indication that it is valid, using a second address generated by a second hash function, and reading a second data element from the victim hash table using a third address generated by the second hash function. Introducing a second pipeline delay for maintaining the uncompressed data element in the first data path until the second data element is read. 1. A method of processing an uncompressed data element , the method comprising:concurrently writing the uncompressed data element, based on the uncompressed data element comprising an indication that it is a valid data element, in one hash table using a first address generated by a first hash function from the uncompressed data element, and reading a first data element from the one hash table using the first address;introducing a first delay for maintaining the uncompressed data element in a first data path until the first data element is read;concurrently writing the first data element to another hash table, based on the first data element comprising an indication that it is a valid data element, using a second address generated by a second hash function from the first data element, and reading a second data element from the other hash table using a third address generated by the second hash function from the uncompressed data element;introducing a second delay for maintaining the uncompressed data element in the first data path until the second data element is read;selecting a data element ...

IDENTIFYING REGIONS OF INTEREST FROM WHOLE SLIDE IMAGES

The present application relates generally to identifying regions of interest in images, including but not limited to whole slide image region of interest identification, prioritization, de-duplication, and normalization via interpretable rules, nuclear region counting, point set registration, and histogram specification color normalization. This disclosure describes systems and methods for analyzing and extracting regions of interest from images, for example biomedical images depicting a tissue sample from biopsy or ectomy. Techniques directed to quality control estimation, granular classification, and coarse classification of regions of biomedical images are described herein. Using the described techniques, patches of images corresponding to regions of interest can be extracted and analyzed individually or in parallel to determine pixels correspond to features of interest and pixels that do not. Patches that do not include features of interest, or include disqualifying features, can be disqualified from further analysis. Relevant patches can analyzed and stored with various feature parameters. 1. A method , comprising:obtaining, by a data processing system, a biomedical image derived from a tissue sample, the biomedical image having a first area corresponding to a presence of the tissue sample and a second area corresponding to an absence of the tissue sample;identifying, by the data processing system, from a plurality of sample types, a sample type for the tissue sample based on a comparison of a first size of the first area and a second size of the second area within the biomedical image;generating, by the data processing system, from at least the first area of the biomedical image, a plurality of patches, each patch of the plurality of patches having a plurality of pixels;identifying, by the data processing system, from a plurality of extraction policies corresponding to the plurality of sample types, an extraction policy for the sample type to apply to each ...

COMPRESSION/DECOMPRESSION ACCELERATOR PROTOCOL FOR SOFTWARE/HARDWARE INTEGRATION

Embodiments relate to providing a data stream interface for offloading the inflation/deflation processing of data to a stateless compression accelerator. An aspect includes transmitting a request to inflate or deflate a data stream to a compression accelerator. The request may include references to an input buffer for storing input data from the data stream, an output buffer for storing processed input data, and a state data control block for storing a stream state. The stream state is provided to the compression accelerator to continue processing the data stream responsive to the request being a subsequent request. The compression accelerator is instructed to store a current stream state in the state data control block responsive to the request being a non-final request. Accordingly, the current stream state is received from the compression accelerator responsive to the request being a non-final request. The processed input data is received from the compression accelerator. 1. A computer-implemented method , comprising:transmitting, by a processing device, a request to inflate or deflate a data stream to a compression accelerator, the request comprising references to an input buffer for storing input data from the data stream, an output buffer for storing processed input data, and a state data control block for storing a stream state;providing the stream state to the compression accelerator to continue processing the data stream responsive to the request being a subsequent request;instructing the compression accelerator to store a current stream state in the state data control block responsive to the request being a non-final request;receiving the current stream state from the compression accelerator responsive to the request being a non-final request; andreceiving the processed input data from the compression accelerator.2. The computer-implemented method of claim 1 , wherein the stream state is provided to the compression accelerator beginning with a second ...

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES

An image processing method including identifying, using a machine learning system, an area of interest of a target image by analyzing microscopic features extracted from multiple image regions in the target image, the machine learning system being generated by processing a plurality of training images each comprising an image of human tissue and a diagnostic label characterizing at least one of a slide morphology, a diagnostic value, a pathologist review outcome, and an analytic difficulty; determining, using the machine learning system, a probability of a target feature being present in the area of interest of the target image based on an average probability; and determining, using the machine learning system, a prioritization value, of a plurality of prioritization values, of the target image based on the probability of the target feature being present in the target image. 120-. (canceled)21. An image processing method , comprising:identifying, using a machine learning system, an area of interest of a target image by analyzing microscopic features extracted from multiple image regions in the target image, the machine learning system being generated by processing a plurality of training images each comprising an image of human tissue and a diagnostic label characterizing at least one of a slide morphology, a diagnostic value, a pathologist review outcome, and an analytic difficulty;determining, using the machine learning system, a probability of a target feature being present in the area of interest of the target image based on an average probability;determining, using the machine learning system, a prioritization value, of a plurality of prioritization values, of the target image based on the probability of the target feature being present in the target image, the prioritization value comprising a first prioritization value determined based on preferences of a first user and a second prioritization value determined based on preferences of a second user; ...

Switching apparatus and method for switching a current

A switching apparatus is disclosed for switching a current, formed using a phase conductor and a switch arranged in the phase conductor, for the purpose of switching a transmission of current via the phase conductor. In addition, the switching apparatus includes a circuit for deriving a test current from the phase conductor via a ground conductor; a sensing apparatus for detecting the test current and an evaluation apparatus for evaluating the detected test current. A control apparatus is used to control closing of the switch arranged in the phase conductor. The evaluation apparatus is configured to detect a zero crossing for an alternating current and the control apparatus is set up to prompt closing of the switch arranged in the phase conductor in accordance with the time of the zero crossing. An embodiment reduces abrasion or wear on the switch as a result of short-circuit currents during switching-on.

SYSTEMS AND METHODS FOR PROCESSING IMAGES OF SLIDES TO INFER BIOMARKERS

Systems and methods are disclosed for receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning system to the target electronic image to identify a region of interest of the target specimen and determine an expression level of, category of, and/or presence of a biomarker in the region of interest, the biomarker comprising at least one from among an epithelial growth factor receptor (EGFR) biomarker and/or a DNA mismatch repair (MMR) deficiency biomarker, the machine learning system having been generated by processing a plurality of training images to predict whether a region of interest is present in the target electronic image, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the determined expression level of, category of, and/or presence of the biomarker in the region of interest. 1. A computer-implemented method for analyzing an image corresponding to a specimen , the method comprising:receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient;applying a machine learning system to the target electronic image to identify a region of interest of the target specimen and determine an expression level of, category of, and/or presence of a biomarker in the region of interest, the biomarker comprising at least one from among an epithelial growth factor receptor (EGFR) biomarker and/or a DNA mismatch repair (MMR) deficiency biomarker, the machine learning system having been generated by processing a plurality of training images to predict whether a region of interest is present in the target electronic image, the training images comprising images of human tissue and/or images that are algorithmically generated; andoutputting the determined expression level of, category of, and/or presence of the biomarker in the region of ...

DEEP ENCODER-DECODER MODELS FOR RECONSTRUCTING BIOMEDICAL IMAGES

The present disclosure is directed to systems and methods for reconstructing biomedical images. A projection preparer may identify a projection dataset derived from a tomographic biomedical imaging scan. An encoder-decoder model may reconstruct reconstructing tomographic biomedical images from projection data. The encoder-decoder model may include an encoder. The encoder may include a first series of transform layers to generate first feature maps using the projection dataset. The encoder-decoder may include a decoder. The decoder may include a second series of transform layers to generate second features maps using the first feature maps from the encoder. The system may include a reconstruction engine executable on the one or more processors. The reconstruction engine may apply the encoder-decoder model to the projection dataset to generate a reconstructed tomographic biomedical image based on the second feature maps generated by the decoder of the encoder-decoder model. 1. A method of reconstructing biomedical images , comprising:identifying, by an image reconstructor executing on one or more processors, a projection dataset derived from a tomographic biomedical imaging scan; an encoder comprising a first series of transform layers to generate a first plurality of feature maps using the projection dataset; and', 'a decoder comprising a second series of transform layers to generate a second plurality of features maps using the first plurality of feature maps from the encoder; and, 'applying, by the image reconstructor, to the projection dataset an encoder-decoder model for reconstructing tomographic biomedical images from projection data, the encoder-decoder model comprisinggenerating, by the image reconstructor, a reconstructed tomographic biomedical image based on the second plurality of feature maps generated by the decoder of the encoder-decoder model.2. The method of claim 1 , wherein identifying the projection dataset further comprises identifying the ...

SYSTEMS AND METHODS FOR ANALYZING ELECTRONIC IMAGES FOR QUALITY CONTROL

Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, determining a quality control (QC) machine learning model to predict a quality designation based on one or more artifacts, providing the digital image as an input to the QC machine learning model, receiving the quality designation for the digital image as an output from the machine learning model, and outputting the quality designation of the digital image. A quality assurance (QA) machine learning model may predict a disease designation based on one or more biomarkers. The digital image may be provided to the QA model which may output a disease designation. An external designation may be compared to the disease designation and a comparison result may be output. 120-. (canceled)21. A computer-implemented method for processing electronic images , the method comprising:receiving a digital image corresponding to a target specimen associated with a pathology category, wherein the digital image is an image of human or animal tissue and/or an image algorithmically generated to replicate human or animal tissue;determining a quality control (QC) machine learning model configured to predict a quality designation based on one or more artifacts;providing the digital image as an input to the QC machine learning model;receiving the quality designation for the digital image as an output from the QC machine learning model;determining a quality assurance (QA) machine learning model different than the QC machine learning model;providing the digital image as an input to the QA machine learning model based on the quality designation being an approved quality designation;receiving a disease designation for the digital image as an output from the QA machine learning model;receiving an external designation for one of the digital image or the target specimen, the external designation generated by a user and comprising a disease property selected from at ...

COMPRESSION RATIO FOR A COMPRESSION ENGINE

An output sequence of data elements is processed. The output sequence of data elements represents a sequence of input data elements in a compressed format. An output data element comprises a backward reference for each string in the input data elements that occurs again in an input data element that is used to produce the output data element. A backward reference identified in a selected output data element is used for selecting the string to which it refers in the stored input data elements. The selected string is combined with strings of one or more subsequent output data elements. A matching sequence in the stored input data elements matching at least part of one or more combined strings is found. A combined string of the one or more combined strings having the longest matching sequence is selected. The backward reference is redefined to indicate the longest matching sequence. 1. A method of processing an output sequence of data elements in a data processing system , the method comprising:identifying by a compression engine of the data processing system a backward reference in a selected output data element of the output sequence of data elements;using by the compression engine the identified backward reference for selecting a string to which it refers;combining the selected string with one or more strings of one or more subsequent output data elements to form one or more combined strings;finding one or more matching sequences in a sequence of input data elements matching at least part of the one or more combined strings; andredefining the backward reference to indicate a selected matching sequence, thereby generating a redefined output data element.2. The method of claim 1 , wherein the finding comprises finding a plurality of matching sequences claim 1 , and the method further comprises selecting the selected matching sequence from the plurality of matching sequences based on a selection criteria.3. The method of claim 2 , wherein the selection criteria ...

FAST NORMALIZATION IN A MIXED PRECISION FLOATING-POINT UNIT

A hardware circuit for returning single precision denormal results to double precision. A hardware circuit component configured to count leading zeros of an unrounded single precision denormal result. A hardware circuit component configured to pre-compute a first exponent and a second exponent for the unrounded single precision denormal result. A hardware circuit component configured to perform a second normalization of the rounded single precision denormal result back to architected format. 1. A hardware circuit for returning scalar single precision denormal results to double precision normal results in architected format , the hardware circuit comprising:a hardware circuit component configured to count leading zeros of an unrounded single precision denormal result;a hardware circuit component configured to pre-compute a first exponent and a second exponent for the unrounded single precision denormal result; anda hardware circuit component configured to perform a second normalization of the rounded single precision denormal result back to architected format.2. The hardware circuit of claim 1 , wherein the hardware circuit component that is configured to count leading zeros of the unrounded single precision denormal result is further configured to count leading zeros in parallel to fraction rounding of the unrounded single precision denormal result.3. The hardware circuit of claim 1 , wherein the hardware circuit component that is configured to pre-compute the first exponent and the second exponent for the unrounded single precision denormal result is further configured to pre-compute the first exponent as the minimum exponent threshold of the single precision denormal result minus the number of leading zeros of the unrounded single precision denormal result.4. The hardware circuit of claim 1 , wherein the hardware circuit component that is configured to pre-compute the first exponent and the second exponent for the unrounded single precision denormal result is ...

FAST NORMALIZATION IN A MIXED PRECISION FLOATING-POINT UNIT

A hardware circuit for returning single precision denormal results to double precision. A hardware circuit component configured to count leading zeros of an unrounded single precision denormal result. A hardware circuit component configured to pre-compute a first exponent and a second exponent for the unrounded single precision denormal result. A hardware circuit component configured to perform a second normalization of the rounded single precision denormal result back to architected format. 1. A method for returning scalar single precision denormal results to double precision normal results in architected format , the method comprising:counting leading zeros of an unrounded single precision denormal result;pre-computing a first exponent and a second exponent for the unrounded single precision denormal result; andperforming a second normalization of the rounded single precision denormal result back to architected format.2. The method of claim 1 , wherein counting leading zeros of an unrounded single precision denormal result claim 1 , further comprises counting leading zeros in parallel to fraction rounding of the unrounded single precision denormal result.3. The method of claim 1 , wherein pre-computing the first exponent and the second exponent for the unrounded single precision denormal result claim 1 , further comprises pre-computing the first exponent as the minimum exponent threshold of the single precision denormal result minus the number of leading zeros of the unrounded single precision denormal result.4. The method of claim 1 , wherein pre-computing the first exponent and the second exponent for the unrounded single precision denormal result claim 1 , further comprises pre-computing the second exponent as the minimum exponent threshold of the single precision denormal result minus the number of leading zeros of the unrounded single precision denormal result plus one.5. The method of claim 1 , wherein performing the second normalization of the rounded ...

METHOD AND DEVICE FOR SEPARATING ASPHALTENES FROM AN ASPHALTENE-CONTAINING FUEL

A method for separating asphaltenes from an asphaltene-containing fuel, wherein fuel is supplied to a separation unit in which a sub-stream with low-boiling fuel components of the fuel is separated. After separation of the sub-stream the fuel is supplied to a deasphalting unit in which asphaltenes contained in the fuel are separated by a solvent. After the separation of the asphaltenes from the fuel, the solvent is separated therefrom in a solvent recovery unit. The separated solvent is circulated back into the deasphalting unit, and a solvent fraction is obtained from the sub-stream that has been separated from the fuel, which is supplied to the deasphalting unit in addition to the solvent recirculated from the solvent recovery unit. A device is adapted for separating asphaltenes from an asphaltene-containing fuel. 121.-. (canceled)22. A method for separating asphaltenes from an asphaltene-containing fuel , the method comprising:supplying the fuel to a separation unit, in which a substream comprising low-boiling fuel components is separated from the fuel,supplying the fuel, after separation of the substream, to a deasphalting unit, in which asphaltenes contained in the fuel are separated by a solvent, wherein the solvent, after separation of the asphaltenes from the fuel in a solvent recovery unit, is separated therefrom,recircuating the separated solvent to the deasphalting unit,obtaining a solvent fraction from the substream separated from the fuel, which, in addition to the solvent recirculated from the solvent recovery unit, is supplied to the deasphalting unit,supplying the substream depleted in the separating unit comprising low-boiling fuel components to a high-performance turbine,supplying the deasphalted fuel purified by the deasphalting unit to a standard turbine, andwhen the turbine-specific heavy metal tolerance limit of the vanadium component in the deasphalted fuel in the standard turbine is exceeded, adding low-boiling fuel components to the ...

FAST WHOLE SLIDE TISSUE TILING METHOD

The present application relates generally to image tiling, including but not limited to systems and methods of fast whole slide tissue tiling. A computing system may identify a first image of a first dimension from which to select one or more tiles. The computing system may perform a reduction operation on the first image to generate a second image of a second dimension. The computing system may apply a thresholding operation on the second image to identify a first set of pixels corresponding to the presence of the feature and a second set of pixels corresponding to the absence of the feature based on an intensity of each pixel in the second image. The computing system may select, from a plurality of tiles corresponding to the first image, a subset of tiles corresponding to the first set of pixels identified from the second image. 1. A method , comprising:identifying, by a computing system, a first image of a first dimension from which to select one or more tiles, the first image having a first area corresponding to a presence of a feature and a second area corresponding to an absence of the feature;performing, by the computing system, a reduction operation on the first image to generate a second image of a second dimension, the second dimension less than the first dimension;applying, by the computing system, a thresholding operation on the second image to identify a first set of pixels corresponding to the presence of the feature and a second set of pixels corresponding to the absence of the feature based on an intensity of each pixel in the second image;selecting, by the computing system, from a plurality of tiles corresponding to the first image, a subset of tiles corresponding to the first set of pixels identified from the second image; andstoring, by the computing system, in one or more data structures, an association between the first image and the subset of tiles.2. The method of claim 1 , further comprising:receiving, by the computing system, a request for ...

SYSTEMS AND METHODS FOR PROCESSING IMAGES TO PREPARE SLIDES FOR PROCESSED IMAGES FOR DIGITAL PATHOLOGY

Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared. 120-. (canceled)21. A system for processing images , the system comprising:at least one memory storing instructions; and receiving an image of a slide comprising a sample of tissue from a patient;', 'providing the image as an input image to a trained convolutional neural network (CNN) to obtain a segmentation output image from the trained CNN, the segmentation output image assigning a tissue type from a plurality of tissue types to each pixel in the input image, wherein the CNN is trained based on a training data set including a plurality of training images comprising samples of tissue and, for each of the plurality of training images, corresponding segmentation labels of a tissue type from the plurality of tissue types assigned to each pixel of the respective training image;', 'determining one or more tests are to be performed on the tissue based on at least one tissue type in the segmentation output image; and', 'automatically ordering the one or more tests., 'at least one processor configured to execute the instructions to perform operations comprising22. The system of claim 21 , wherein the system further comprises a data storage device configured to ...

UNIVERSAL SLIDE VIEWER

The present disclosure relates generally to image viewers, in particular biomedical images viewers that can concurrently render biomedical images at various magnifications or resolutions. The computing system can identify tiles from a first portion of a biomedical image. Each tile can correspond to a magnification level and coordinates in the biomedical image. The computing system can provide the tiles for concurrent display in respective graphical user interface (GUI) elements. The computing system can detect an interaction with a GUI element. The computing system can identify a change in coordinates for a tile displayed in the GUI element based on the interaction. The computing system can determine a second change in the other concurrently displayed tiles based on the change in coordinates. The computing system can update the concurrent display of the tiles based on the changes. 1. A method for generating a preamble , comprising:identifying, by a computing system, a plurality of tiles from a first portion of a biomedical image that is derived from a tissue sample via a histopathological image preparer, each tile of the plurality of tiles acquired at one of a plurality of magnification factors and defined by a corresponding set of coordinates within the biological image, at least one of the plurality of tiles corresponding to at least a subset of the first portion;providing, by the computing system, the plurality of tiles for concurrent display via a corresponding plurality of graphical user interface (GUI) elements;detecting, by the computing system, an interaction with a GUI element from the plurality of GUI elements to modify presentation of a tile of the plurality of tiles;identifying, by the computing system, a first change to a first set of coordinates defining the tile in response to the interaction with the GUI element;determining, by the computing system, a second change to apply to a second set of coordinates defining each tile of a remainder of the ...

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES TO DETECT CONTAMINATION IN SPECIMEN PREPARATIONS

Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, detecting one or more image regions from a background of the one or more digital images, determining a prediction, using a machine learning system, of whether at least one first image region of the one or more image regions comprises at least one external contaminant, the machine learning system having been trained using a plurality of training images to predict a presence of external contaminants and/or a location of any external contaminants present in the tissue specimen, and determining, based on the prediction of whether a first image region comprises an external contaminant, whether to process the image region using an processing algorithm. 1. A computer-implemented method for processing an electronic image corresponding to a tissue specimen , the method comprising:receiving one or more digital images associated with a tissue specimen;detecting one or more image regions from a background of the one or more digital images;determining a prediction, using a machine learning system, of whether at least one first image region of the one or more image regions comprises at least one external contaminant, the machine learning system having been trained using a plurality of training images to predict a presence of external contaminants and/or a location of any external contaminants present in the tissue specimen; anddetermining, based on the prediction of whether a first image region comprises an external contaminant, whether to process the first image region using a processing algorithm.2. The computer implemented method of claim 1 , wherein a background of the one or more digital images comprises a portion of the image that is not the tissue specimen.3. The computer implemented method of claim 1 , wherein the detecting of one or more image regions from a background of the one or more digital images comprises:thresholding based on color intensity, texture ...

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES TO DETECT CONTAMINATION

Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, detecting one or more image regions from a background of the one or more digital images, determining a prediction, using a machine learning system, of whether at least one first image region of the one or more image regions comprises at least one external contaminant, the machine learning system having been trained using a plurality of training images to predict a presence of external contaminants and/or a location of any external contaminants present in the tissue specimen, and determining, based on the prediction of whether a first image region comprises an external contaminant, whether to process the image region using an processing algorithm. 1. A computer-implemented method for processing an electronic image corresponding to a tissue specimen , the method comprising:receiving one or more digital images associated with a tissue specimen;detecting one or more image regions from a background of the one or more digital images;determining a prediction, using a machine learning system, of whether at least one first image region of the one or more image regions comprises at least one external contaminant, the machine learning system having been trained using a plurality of training images to predict a presence of external contaminants and/or a location of any external contaminants present in the tissue specimen; anddetermining, based on the prediction of whether a first image region comprises an external contaminant, whether to process the first image region using a processing algorithm.2. The computer implemented method of claim 1 , wherein a background of the one or more digital images comprises a portion of the image that is not the tissue specimen.3. The computer implemented method of claim 1 , wherein the detecting of one or more image regions from a background of the one or more digital images comprises:thresholding based on color intensity, texture ...

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES FOR HEALTH MONITORING AND FORECASTING

Systems and methods are disclosed for determining at least one geographic region of a plurality of geographic regions, at least one data variable, and/or at least one health variable, estimating a current prevalence of a data variable in a geographic region of the plurality of geographic regions, determining a trend in a relationship between the data variable and the geographic region at a current time, determining a second trend in the relationship between the data variable and the geographic region at at least one prior point in time, determining if the trend in the relationship is irregular within a predetermined threshold with respect to the second trend from the at least one prior point in time, and, upon determining that the trend in the relationship is irregular within a predetermined threshold, generating an alert. 1. A computer-implemented method for monitoring health of a population , the method comprising:determining at least one relationship between at least one geographic region of a plurality of geographic regions, at least one data variable, and/or at least one health variable;estimating a current prevalence of a data variable in a geographic region of the plurality of geographic regions;determining a trend in a relationship between the data variable and the geographic region at a current time;determining a second trend in the relationship between the data variable and the geographic region at at least one prior point in time;determining if the trend in the relationship is irregular within a predetermined threshold with respect to the second trend from the at least one prior point in time; andupon determining that the trend in the relationship is irregular within a predetermined threshold, generating an alert.2. The computer-implemented method of claim 1 , further comprising:generating an updated relationship between the at least one geographic region, the at least one data variable, and/or the at least one health variable based on the determined ...

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES FOR HEALTH MONITORING AND FORECASTING

Systems and methods are disclosed for determining at least one geographic region of a plurality of geographic regions, at least one data variable, and/or at least one health variable, estimating a current prevalence of a data variable in a geographic region of the plurality of geographic regions, determining a trend in a relationship between the data variable and the geographic region at a current time, determining a second trend in the relationship between the data variable and the geographic region at at least one prior point in time, determining if the trend in the relationship is irregular within a predetermined threshold with respect to the second trend from the at least one prior point in time, and, upon determining that the trend in the relationship is irregular within a predetermined threshold, generating an alert. 1. A computer-implemented method for monitoring health of a population , the method comprising:determining at least one relationship between at least one geographic region of a plurality of geographic regions, at least one data variable, and/or at least one health variable;estimating a current prevalence of a data variable in a geographic region of the plurality of geographic regions;determining a trend in a relationship between the data variable and the geographic region at a current time;determining a second trend in the relationship between the data variable and the geographic region at at least one prior point in time;determining if the trend in the relationship is irregular within a predetermined threshold with respect to the second trend from the at least one prior point in time; andupon determining that the trend in the relationship is irregular within a predetermined threshold, generating an alert.2. The computer-implemented method of claim 1 , further comprising:generating an updated relationship between the at least one geographic region, the at least one data variable, and/or the at least one health variable based on the determined ...

MULTI-CYCLE KEY COMPARES FOR KEYS AND RECORDS OF VARIABLE LENGTH

Multi-cycle key compare units. A compare unit includes a comparator, additional compare logic and at least one pair of buffers which provide input to the comparator. The compare unit sorts variable length records in streaming mode without the need for complex state machines to maintain state relating to the comparing. A record may have a variable length key and optional variable length data. The record and/or the key is split into fixed, pre-defined lengths. The total key and record lengths are unknown to the comparator of the compare unit. 1. A compare unit comprising: one input to receive one beat of one record to be sorted, the one beat comprising one set of control indicators, and wherein one or more control indicators of the one set of control indicators specify a type of the one beat;', 'another input to receive another beat of another record to be sorted, the other beat comprising another set of control indicators, and wherein one or more control indicators of the other set of control indicators specify a type of the other beat; and', 'logic coupled to the one input and the other input to compare the one beat and the other beat to provide a result, the logic to use at least the one or more control indicators of the one set of control indicators and the one or more control indicators of the other set of control indicators to determine the result., 'a comparator, said comparator comprising2. The compare unit of claim 1 , wherein the one or more control indicators of the one set of control indicators are selected from a group consisting of: a key indicator claim 1 , a data indicator claim 1 , an end of list indicator claim 1 , and an end of buffer indicator.3. The compare unit of claim 2 , wherein the one or more control indicators of the one set of control indicators further comprise a run indicator to indicate which run the one record belongs.4. The compare unit of claim 1 , wherein the one or more control indicators of the other set of control indicators are ...

HIERARCHICAL SORT/MERGE STRUCTURE USING A REQUEST PIPE

A sort device includes a compare unit on one level of a hierarchical structure that includes a plurality of levels. The compare unit to compare one beat of one record with another beat of another record to provide a winner beat. The sort device further includes another compare unit on another level of the hierarchical structure to provide a further beat to the compare unit, and a request pipe to be used to request that the other compare unit provide the further beat to the compare unit. 1. A sort device comprising:a compare unit on one level of a hierarchical structure comprising a plurality of levels, the compare unit to compare one beat of one record with another beat of another record to provide a winner beat;another compare unit on another level of the hierarchical structure to provide a further beat to the compare unit; anda request pipe to be used to request that the other compare unit provide the further beat to the compare unit.2. The sort device of claim 1 , wherein the request pipe comprises a plurality of entries to be used to determine when to send the request to the other compare unit.3. The sort device of claim 2 , wherein the winner beat is one key beat of one or more key beats of a key to be compared claim 2 , and wherein the plurality of entries comprises at least a number of entries equal to a number of key beats of the key.4. The sort device of claim 3 , wherein the request pipe requests the further beat based on an indication of a last key beat of the key in the request pipe.5. The sort device of claim 1 , wherein the compare unit comprises a buffer pair including one buffer to store the one beat and another buffer to store the other beat claim 1 , and wherein the request pipe includes at least one of an indicator of the buffer pair claim 1 , a win indicator to be used to indicate which buffer of the buffer pair is a winner buffer that includes the winner beat claim 1 , and at least an address within the winner buffer.6. The sort device of claim ...

IDENTIFYING REGIONS OF INTEREST FROM WHOLE SLIDE IMAGES

The present application relates generally to identifying regions of interest in images, including but not limited to whole slide image region of interest identification, prioritization, de-duplication, and normalization via interpretable rules, nuclear region counting, point set registration, and histogram specification color normalization. This disclosure describes systems and methods for analyzing and extracting regions of interest from images, for example biomedical images depicting a tissue sample from biopsy or ectomy. Techniques directed to quality control estimation, granular classification, and coarse classification of regions of biomedical images are described herein. Using the described techniques, patches of images corresponding to regions of interest can be extracted and analyzed individually or in parallel to determine pixels correspond to features of interest and pixels that do not. Patches that do not include features of interest, or include disqualifying features, can be disqualified from further analysis. Relevant patches can analyzed and stored with various feature parameters. 1. A method , comprising:obtaining, by a data processing system, a first patch identified from a biomedical image derived from a tissue sample, the first patch having a first plurality of pixels corresponding to a portion of the biomedical image, each of the first plurality of pixels defined by a first color value;applying, by the data processing system, a kernel operator to the plurality of pixels of the first patch to generate a second patch, the second patch having a second plurality of pixels, each of the second plurality of pixels having a second color value corresponding to one or more first color values of a corresponding subset of the first plurality of pixels;generating, by the data processing system, a variance metric over a corresponding plurality of second color values of the second plurality of pixels of the second patch;determining, by the data processing system ...

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES FOR COMPUTATIONAL ASSESSMENT OF DISEASE

Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, wherein the digital image is an image of tissue specimen, determining a detection machine learning model, the detection machine learning model being generated by processing a plurality of training images to output a cancer qualification and further a cancer quantification if the cancer qualification is an confirmed cancer qualification, providing the digital image as an input to the detection machine learning model, receiving one of a pathological complete response (pCR) cancer qualification or a confirmed cancer quantification as an output from the detection machine learning model, and outputting the pCR cancer qualification or the confirmed cancer quantification. 1. A computer-implemented method for processing electronic images , the method comprising:receiving a digital image corresponding to a target specimen collected using a histopathology technique, the target specimen associated with a pathology category, wherein the digital image is an image of tissue specimen;determining a detection machine learning model, the detection machine learning model being generated by processing a plurality of training images to output a cancer qualification and further output a cancer quantification if the cancer qualification is an confirmed cancer qualification;providing the digital image as an input to the detection machine learning model;receiving a pathological complete response (pCR) cancer qualification when the output of the detection machine learning model comprises a pCR cancer qualification and receiving a confirmed cancer quantification when the output of the detection machine learning model comprises a confirmed cancer quantification; andoutputting the pCR cancer qualification or the confirmed cancer quantification.2. The computer-implemented method of claim 1 , wherein receiving the confirmed cancer quantification comprises ...

Systems and methods for analyzing electronic images for quality control

Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, determining a quality control (QC) machine learning model to predict a quality designation based on one or more artifacts, providing the digital image as an input to the QC machine learning model, receiving the quality designation for the digital image as an output from the machine learning model, and outputting the quality designation of the digital image. A quality assurance (QA) machine learning model may predict a disease designation based on one or more biomarkers. The digital image may be provided to the QA model which may output a disease designation. An external designation may be compared to the disease designation and a comparison result may be output.

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES FOR GENERALIZED DISEASE DETECTION

Systems and methods are disclosed for generating a specialized machine learning model by receiving a generalized machine learning model generated by processing a plurality of first training images to predict at least one cancer characteristic, receiving a plurality of second training images, the first training images and the second training images include images of tissue specimens and/or images algorithmically generated to replicate tissue specimens, receiving a plurality of target specialized attributes related to a respective second training image of the plurality of second training images, generating a specialized machine learning model by modifying the generalized machine learning model based on the plurality of second training images and the target specialized attributes, receiving a target image corresponding to a target specimen, applying the specialized machine learning model to the target image to determine at least one characteristic of the target image, and outputting the characteristic of the target image. 1. A computer-implemented method for processing electronic images , the method comprising:receiving a generalized machine learning model generated by processing a plurality of first training images to predict at least one cancer characteristic;receiving a plurality of second training images, wherein the first training images and the second training images comprise images of tissue specimens and/or images algorithmically generated to replicate tissue specimens;receiving a plurality of target specialized attributes each related to a respective second training image of the plurality of second training images;generating a specialized machine learning model by modifying the generalized machine learning model based on the plurality of second training images and respective target specialized attributes;receiving a target image corresponding to a target specimen;applying the specialized machine learning model to the target image to determine at least one ...

Natural Resource Reservoir Modeling

A method, apparatus, and program product determine an effective trap size for reservoir traps of an oil and gas reservoir. Geological data is analyzed to determine structural spill points. Based on the structural spill points and the geological data reservoir traps are identified. An effective trap size for at least some of the reservoir traps of the reservoir is determined based on the structural spill points and the geological data. 1. A method for modeling an oil and gas reservoir , the method comprising:receiving geological data associated with a reservoir;identifying, with at least one processor, a plurality of structural spill points for the reservoir based at least in part on the geological data;identifying a plurality of reservoir traps for the reservoir based at least in part on at least a portion of the identified structural spill points; anddetermining an effective trap size associated with the reservoir based at least in part on at least a portion of the identified reservoir traps and structural spill points.2. The method of claim 1 , further comprising:determining an economic value of the reservoir based at least in part on the determined effective trap size.3. The method of claim 2 , further comprising:ranking the reservoir relative to a plurality of other reservoirs based at least in part on the determined economic value.4. The method of claim 1 , wherein determining the effective trap size associated with the reservoir comprises:merging at least two reservoir traps based at least in part on at least a portion of the identified structural spill points; anddetermining an effective trap size for the at least two merged reservoir traps,wherein the effective trap size associated with the reservoir is based at least in part on the effective trap size for the at least two merged reservoir traps.5. The method of claim 1 , wherein determining the effective trap size for the reservoir comprises:determining a contact area between water and hydrocarbon based ...

COMPRESSION/DECOMPRESSION ACCELERATOR PROTOCOL FOR SOFTWARE/HARDWARE INTEGRATION

Embodiments relate to providing a data stream interface for offloading the inflation/deflation processing of data to a stateless compression accelerator. An aspect includes transmitting a request to inflate or deflate a data stream to a compression accelerator. The request may include references to an input buffer for storing input data from the data stream, an output buffer for storing processed input data, and a state data control block for storing a stream state. The stream state is provided to the compression accelerator to continue processing the data stream responsive to the request being a subsequent request. The compression accelerator is instructed to store a current stream state in the state data control block responsive to the request being a non-final request. Accordingly, the current stream state is received from the compression accelerator responsive to the request being a non-final request. The processed input data is received from the compression accelerator. 1. A computer-implemented method , comprising:transmitting, by a processing device, a request to inflate or deflate a data stream to a compression accelerator, the request comprising references to an input buffer for storing input data from the data stream, an output buffer for storing processed input data, and a state data control block for storing a stream state;providing the stream state to the compression accelerator to continue processing the data stream responsive to the request being a subsequent request;instructing the compression accelerator to store a current stream state in the state data control block responsive to the request being a non-final request;receiving the current stream state from the compression accelerator responsive to the request being a non-final request; andreceiving the processed input data from the compression accelerator.2. The computer-implemented method of claim 1 , wherein the stream state is provided to the compression accelerator beginning with a second ...

Solenoid Valve for a Fuel Injection System, and High Pressure Fuel Pump

There is disclosed a solenoid valve for a fuel injection system, in which solenoid valve a closing element which interacts with a valve seat in order to close and open the solenoid valve is actuated by a control pin, the control pin being formed by way of a solenoid plunger. Furthermore, a high pressure fuel pump is disclosed which has a solenoid valve of this type. 1. A solenoid valve for a fuel injection system , comprising:a valve region with a closing element and a valve seat which interact in order to close the solenoid valve; andan actuator region with a control pin for moving the closing element along a movement axis into an open or closed position, the actuator region having a stationary pole piece with a pole piece bore which is arranged in the pole piece, and a solenoid plunger which is movable relative to the pole piece along the movement axis and is arranged with a pole piece end in the pole piece bore in a contactless manner with respect to the pole piece, the solenoid plunger forming the control pin.2. The solenoid valve as claimed in claim 1 , wherein the valve region has a valve seat plate which forms the valve seat claim 1 , the closing element being configured as a small plate which lies on the valve seat plate in the closed position of the solenoid valve claim 1 , the pole piece and the small plate being arranged on opposite sides of the valve seat plate.3. The solenoid valve as claimed in claim 2 , wherein the solenoid plunger is configured as a cylindrical pin which penetrates the valve seat plate with a valve seat plate end in a contactless manner.4. The solenoid valve as claimed in claim 1 , further comprising a stop limiting movement travel of the solenoid plunger along the movement axis claim 1 , the stop configured on the solenoid plunger.5. The solenoid valve as claimed in claim 4 , wherein the stop is configured at a pole piece end of the solenoid plunger for interaction with the pole piece claim 4 , or at a valve seat plate end of the ...

REGISTRATION ON SETTING AN ALIGNMENT OF AN INSTRUMENT

A method is disclosed for registration on setting an alignment of an instrument relative to an object during a processing or treatment of the object by the instrument. A working image is registered to a planning image. The working image is recorded in a viewing direction that is selected dependent upon relevant degrees of freedom of the instrument such that the relevant degrees of freedom are the degrees of freedom with the greater registration accuracy. In addition, a robot system is provided which is configured for carrying out the method. 1. A method for registration on setting an alignment of an instrument relative to an object during a processing or treatment of the object by the instrument , wherein the instrument is movable and includes a plurality of degrees of freedom of movement , the method comprising:specifying, during the treatment or processing, at least one operational step, in which the alignment of the instrument relative to the object is defined and in which the setting of the alignment is required only in relation to a subset of degrees of freedom of the plurality of degrees of freedom;determining and storing, as relevant degrees of freedom, the subset of degrees of freedom;providing a three-dimensional planning image of the object;generating, by an imaging system, a two-dimensional working image of the object in a viewing direction that is selected dependent upon the relevant degrees of freedom; andregistering the two-dimensional working image to the planning image so that a higher degree of registration accuracy results for some degrees of freedom of the plurality of degrees of freedom than for other degrees of freedom of the plurality of degrees of freedom.2. The method of claim 1 , wherein for a respective operational step claim 1 , only one two-dimensional working image is generated.3. The method of claim 1 , wherein the treatment or processing comprises a plurality of consecutive operational steps claim 1 , andwherein after an operational ...

SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR QUANTIFICATION OF BLUR IN DIGITAL IMAGES

The present disclosure discusses systems and methods to detect blur in digital images. The solution can be incorporated into the quality control systems of pathology and other slide scanners or can be a stand-alone solution. The solution can identify scanned images that include blur and cause the scanner to automatically rescan the blurry image. The solution can also identify regions of the scanned image that include blur. The solution can generate blur maps for each of the scanned images that identify regions of the scanned image that include blur. 1. A system to prepare histological slides , comprising one or more processors to:a patch generator executed by the one or more processors to generate a plurality of patches from a digital image, each patch of the plurality of patches comprising a plurality of pixels;a feature extractor to calculate, for each patch of the plurality of patches, values according to one or more sharpness metrics; and determine a blur score for each patch of the plurality of patches, the blur score of the patch determined using the calculated values of the one or more sharpness metrics of the patch; and', 'generate a blur map based on the blur score for each patch of the plurality of patches, the blur map including, for each patch of the plurality of patches, a parameter value between a first threshold value and a second threshold value that is based on the blur score of the patch., 'a patch classifier to2. The system of claim 1 , further comprising:the patch classifier to determine the blur score for each of the plurality of patches with one of a random forest regression algorithm or a logistic regression algorithm.3. The system of claim 1 , further comprising:the patch classifier to determine the blur score for each of the plurality of patches with a residual neural network.4. The system of claim 1 , further comprising:a background detector to discard a patch that comprises background data.5. The system of claim 1 , wherein a portion of a ...

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES FOR BIOMARKER LOCALIZATION

Systems and methods are disclosed for receiving digital images of a pathology specimen from a patient, the pathology specimen comprising tumor tissue, the one or more digital images being associated with data about a plurality of biomarkers in the tumor tissue and data about a surrounding invasive margin around the tumor tissue; identifying the tumor tissue and the surrounding invasive margin region to be analyzed for each of the one or more digital images; generating, using a machine learning model on the one or more digital images, at least one inference of a presence of the plurality of biomarkers in the tumor tissue and the surrounding invasive margin region; determining a spatial relationship of each of the plurality of biomarkers identified in the tumor tissue and the surrounding invasive margin region to themselves and to other cell types; and determining a prediction for a treatment outcome and/or at least one treatment recommendation for the patient. 1. A computer-implemented method for analyzing an image corresponding to a specimen , the method comprising:receiving one or more digital images of a pathology specimen from a patient, the pathology specimen comprising tumor tissue, the one or more digital images being associated with data about a plurality of biomarkers in the tumor tissue and data about a surrounding invasive margin around the tumor tissue;identifying the tumor tissue and the surrounding invasive margin region to be analyzed for each of the one or more digital images;generating, using a machine learning model on the one or more digital images, at least one inference of a presence of the plurality of biomarkers in the tumor tissue and the surrounding invasive margin region;determining a spatial relationship of each of the plurality of biomarkers identified in the tumor tissue and the surrounding invasive margin region to themselves and to other cell types; anddetermining, based on the spatial relationship of each of the plurality of biomarkers ...

SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES FOR COMPUTATIONAL DETECTION METHODS

Systems and methods are disclosed for receiving one or more electronic slide images associated with a tissue specimen, the tissue specimen being associated with a patient and/or medical case, partitioning a first slide image of the one or more electronic slide images into a plurality of tiles, detecting a plurality of tissue regions of the first slide image and/or plurality of tiles to generate a tissue mask, determining whether any of the plurality of tiles corresponds to non-tissue, removing any of the plurality of tiles that are determined to be non-tissue, determining a prediction, using a machine learning prediction model, for at least one label for the one or more electronic slide images, the machine learning prediction model having been generated by processing a plurality of training images, and outputting the prediction of the trained machine learning prediction model. 1. A computer-implemented method for processing electronic slide images corresponding to a tissue specimen , the method comprising:receiving one or more electronic slide images associated with a tissue specimen, the tissue specimen being associated with a patient and/or medical case;partitioning a first slide image of the one or more electronic slide images into a plurality of tiles;detecting a plurality of tissue regions of the first slide image and/or plurality of tiles to generate a tissue mask;determining whether any of the plurality of tiles corresponds to non-tissue;removing any of the plurality of tiles that are determined to be non-tissue;determining a prediction, using a machine learning prediction model, for at least one label for the one or more electronic slide images, the machine learning prediction model having been generated by processing a plurality of training images; andoutputting the prediction of the trained machine learning prediction model.2. The computer-implemented method of claim 1 , wherein the plurality of tiles that are determined to be non-tissue are further ...

SYSTEMS AND METHODS FOR DELIVERY OF DIGITAL BIOMARKERS AND GENOMIC PANELS

Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, a related case, a patient, and/or a plurality of clinical information, determining one or more of a prediction, a recommendation, and/or a plurality of data for the one or more digital images using a machine learning system, the machine learning system having been trained using a plurality of training images, to predict a biomarker and a plurality of genomic panel elements, and determining, based on the prediction, the recommendation, and/or the plurality of data, whether to log an output and at least one visualization region as part of a case history within a clinical reporting system. 1. A computer-implemented method for processing an electronic image corresponding to a specimen , the method comprising:receiving one or more digital images associated with a tissue specimen, a related case, a patient, and/or a plurality of clinical information;determining one or more of a prediction, a recommendation, and/or a plurality of data for the one or more digital images using a machine learning system, the machine learning system having been trained using a plurality of training images, to predict a biomarker and a plurality of genomic panel elements; anddetermining, based on the prediction, the recommendation, and/or the plurality of data, whether to log an output and at least one visualization region as part of a case history within a clinical reporting system.2. The computer-implemented method of claim 1 , wherein the method further comprises generating a notification indicating that a prediction or a visualization for the one or more digital images is available.3. The computer-implemented method of claim 1 , wherein the method further comprises generating an option for a user to review the prediction or the visualization.4. The computer-implemented method of claim 1 , wherein the method further comprises generating one or more displays of at least one ...

PIPELINE DEPTH EXPLORATION IN A REGISTER TRANSFER LEVEL DESIGN DESCRIPTION OF AN ELECTRONIC CIRCUIT

A list of input registers and output registers for a circuit design are provided. The circuit design is modified by traversing output connections paths for each input register and replacing any register in the output connection paths with a wire unless the register is a listed output register. An initial total cycle time value for the modified circuit design is determined. A gate level description for the modified circuit design is obtained by a macro synthesis with the initial total cycle time value. The total cycle time value for the modified circuit design is then varied in order to determine the theoretical limit of the modified circuit design. This theoretical limit is realized when negative slacks are present in a macro synthesis of the modified circuit design for a given total cycle time value. Based on this theoretical limit, the minimum pipeline depth of the circuit design is determined. 1. A method for pipeline depth exploration in a register transfer level design description of an electronic circuit , the method comprising:providing a list of input registers and output registers for said circuit design to be modified;traversing output connections paths for each input register and replacing any register in said output connection paths by a respective wire unless said register is contained in said list of output registers;determining an initial total cycle time value for said modified registerless circuit design accounting for a register latch insertion delay time value;obtaining a gate level description for said modified circuit design by macro synthesis with said initial total cycle time value; andvarying the total cycle time value for said modified circuit design to determine a theoretical limit of said modified circuit design;wherein said theoretical limit of said modified circuit design is realized when negative slacks are present in the macro synthesis of said gate level description for said modified circuit design with a corresponding total cycle ...

Capacitor order determination in an analog-to-digital converter

An analog-to-digital converter (ADC) includes a digital-to-analog converter (DAC) that has a configurable capacitor array. Based on measurements of differential nonlinearity (DNL) and/or integral nonlinearity (INL) error by an external test computer system, an order for use of the DAC's capacitors can be determined so as to reduce DNL error aggregation, also called INL. The DAC includes a switch matrix that can be programmed by programming data supplied by the test computer system.

OVEN DEVICE FOR HEAT-TREATING A METAL BLANK

The present invention relates to an oven device for heat-treating a blank. The oven device has an oven housing having an oven chamber, in which the blank can be heat-treated with a defined temperature, and a tempering body, which is arranged in the oven chamber. Furthermore, the oven device has a tempering body and a tempering device. The tempering device is arranged within the oven chamber movably between a first position and a second position, such that the tempering device is, at least in the first position, in thermal contact with the tempering body and can, in the second position, be brought in thermal contact with the blank. 2. Oven device according to claim 1 ,wherein the tempering device is formed as a belt element,wherein the belt element has a first section,wherein the tempering body has a tempering surface,wherein the belt element is arranged within the oven chamber movably between the first position and the second position, such that the first section is in thermal contact with the tempering surface in the first position and that the first section can be brought in thermal contact with the blank in the second position.3. Oven device according to claim 2 , 'wherein the belt element is arranged such that, in the second position, the first section can be arranged between the tempering body and the blank.', 'wherein the belt element forms a belt loop, which surrounds the tempering body,'}4. Oven device according to claim 2 ,wherein, in the second position, the first section is spaced apart from the tempering body.5. Oven device according to claim 2 ,wherein the belt element further has a second section, which is spaced apart from the first section, andwherein the second section is formed such that in the second position the second section can be arranged spaced apart from the blank.6. Oven device according to claim 5 ,wherein the second section is formed such that, in the second position, the second section is in thermal contact with the tempering surface of ...

Systems and methods for processing images to classify the processed images for digital pathology

Systems and methods are disclosed for receiving a target image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning model, which may also be known as a machine learning system, to the target image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target image, the machine learning model having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the at least one characteristic of the target specimen and/or the at least one characteristic of the target image.

Capacitor Order Determination in An Analog-to-Digital Converter

An analog-to-digital converter (ADC) includes a digital-to-analog converter (DAC) that has a configurable capacitor array. Based on measurements of differential nonlinearity (DNL) and/or integral nonlinearity (INL) error by an external test computer system, an order for use of the DAC's capacitors can be determined so as to reduce DNL error aggregation, also called INL. The DAC includes a switch matrix that can be programmed by programming data supplied by the test computer system. 1. A method , comprising:measuring an error value for each of a plurality of capacitors in a digital-to-analog (DAC) capacitor array of an analog-to-digital converter (ADC);determining an order of the plurality of capacitors based on the measured error values; andprogramming the ADC to use the plurality of capacitors in the determined order during conversions of analog signals to digital codes.2. The method of claim 1 , wherein the error value of each capacitor includes a differential nonlinearity (DNL) error claim 1 , and wherein determining the order of the plurality of capacitors includes:sorting the plurality of capacitors based on the measured error values;computing an error_to_compensate value based on a DNL of one of the plurality of capacitors; anddetermining whether a capacitor remains to be selected for the order that is the capacitor of the plurality of capacitors that has the largest negative DNL, which when added to a current error value does not exceed the error_to_compensate.3. The method of claim 2 , wherein the error values include DNL_MSB (most significant bit) values claim 2 , and wherein computing the error_to_compensate includes computing the negative of one-half the largest positive DNL value.4. The method of claim 1 , wherein measuring the error value for each of the plurality of capacitors in the DAC capacitor array includes generating an increasing or decreasing analog as an input to the ADC claim 1 , recording digital output codes from the ADC claim 1 , and ...

DEEP INTERACTIVE LEARNING FOR IMAGE SEGMENTATION MODELS

Described herein are systems and methods of training models to segment images. A device may identify a training dataset. The training dataset may include images each having a region of interest. The training dataset may include first annotations. The device may train, using the training dataset, an image segmentation model having parameters to generate a corresponding first segmented images. The device may provide the first segmented images for presentation on a user interface to obtain feedback. The device may receive, via the user interface, a feedback dataset including second annotations for at least a subset of the first segmented images. Each of the second annotations may label at least a second portion of the region of interest in a corresponding image of the subset. The device may retrain, using the feedback dataset received via the user interface, the image segmentation model. 1. A method of training models to segment images , comprising: a plurality of images each having a region of interest, and', 'a plurality of first annotations, each of the plurality of first annotations labeling at least a first portion of the region of interest in a corresponding image of the plurality of images;, 'identifying, by one or more processors, a training dataset, the training dataset includingtraining, by the one or more processors, using the training dataset, an image segmentation model having one or more parameters to generate a corresponding first plurality of segmented images, each of the first plurality of segmented images having a first area determined as corresponding to the region of interest and a second area determined as not corresponding to the region of interest in a corresponding image of the plurality of images;providing, by the one or more processors, the first plurality of segmented images generated from the training of the image segmentation model for presentation on a user interface to obtain feedback;receiving, by the one or more processors, via the user ...

SYSTEMS AND METHODS FOR PROCESSING IMAGES TO PREPARE SLIDES FOR PROCESSED IMAGES FOR DIGITAL PATHOLOGY

Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.

High-Pressure Fuel Pump for a Fuel Injection System

Embodiments relate to a high-pressure fuel pump having a pump piston which, during operation, moves in translation between a pressure chamber and a leakage chamber. The leakage chamber has a leakage collecting region and an equalizing region. A low-pressure damper having a bellows-shaped corrugated damper plate is arranged in the equalizing region. 1. A high-pressure fuel pump for applying high pressure to fuel in a fuel injection system , comprising:a housing having a housing bore which forms, at a first end region, a pressure chamber in which high pressure is applied to the fuel, and forms, at a second end region, a leakage chamber;a pump piston which is guided in a pump piston guiding region, formed by a pump piston guiding section of the housing, and which, during operation of the high-pressure fuel pump, moves in translation between the pressure chamber and the leakage chamber along an axis of movement, wherein the leakage chamber has a leakage collecting region and an equalizing region, the equalizing region is arranged in circular annular fashion around the pump piston guiding section of the housing and extends parallel to the axis of movement from the leakage collecting region toward the pressure chamber; anda low-pressure damper having a bellows-shaped corrugated damper plate which bounds a damper volume;wherein the low-pressure damper is arranged in the equalizing region.2. The high-pressure fuel pump as claimed in claim 1 , wherein the low-pressure damper is a damper circular ring having a circular ring wall thickness perpendicular to the axis of movement and an extent length parallel to the axis of movement claim 1 , and wherein the circular ring wall thickness is smaller than the extent length.3. The high-pressure fuel pump as claimed in claim 1 , wherein the bellows-shaped corrugated damper plate has corrugations which one of propagate parallel to the axis of movement and propagate in annular fashion around the pump piston guiding section of the ...

COMPRESSION RATIO FOR A COMPRESSION ENGINE

An output sequence of data elements is processed. The output sequence of data elements represents a sequence of input data elements in a compressed format. An output data element comprises a backward reference for each string in the input data elements that occurs again in an input data element that is used to produce the output data element. A backward reference identified in a selected output data element is used for selecting the string to which it refers in the stored input data elements. The selected string is combined with strings of one or more subsequent output data elements. A matching sequence in the stored input data elements matching at least part of one or more combined strings is found. A combined string of the one or more combined strings having the longest matching sequence is selected. The backward reference is redefined to indicate the longest matching sequence. 1. A method of processing an output sequence of data elements in a data processing system , the output sequence of data elements representing a sequence of input data elements in a compressed format , wherein an output data element comprises a backward reference for each string in the input data elements that occurs again in an input data element that is used to produce the output data element , wherein the input data elements are stored in a history buffer , the method comprising:a. identifying by an extended matcher of the data processing system the backward reference in a selected output data element;b. using by the extended matcher the identified backward reference for selecting a string to which it refers in the stored input data elements;c. combining by the extended matcher the selected string with strings of one or more subsequent output data elements to the selected output data element for forming one or more combined strings;d. finding by the extended matcher a matching sequence in the stored input data elements matching at least part of the one or more combined strings, and ...

HARDWARE COMPRESSION TO FIND BACKWARD REFERENCES WITH MULTI-LEVEL HASHES

Concurrently writing an uncompressed data element, if the uncompressed data element comprises an indication that it is valid, in a main hash table using a first address generated by a first hash function, and reading a first data element from the main hash table using the first address. Introducing a first pipeline delay for maintaining the uncompressed data element in a first data path until the first data element is read. Concurrently writing the first data element to a victim hash table, if the first data element comprises an indication that it is valid, using a second address generated by a second hash function, and reading a second data element from the victim hash table using a third address generated by the second hash function. Introducing a second pipeline delay for maintaining the uncompressed data element in the first data path until the second data element is read. 1. A method of processing an uncompressed data element received in a stream of data elements by a hardware logic system having a multi-stage pipeline structure and a distributed memory comprising a main hash table and at least one victim hash table , the method comprising:a) concurrently writing the uncompressed data element, based on the uncompressed data element comprising an indication that it is a valid data element, in the main hash table using a first address generated by a first hash function from the uncompressed data element, and reading a first data element from the main hash table using the first address;b) introducing a first pipeline delay for at least one clock cycle for maintaining the uncompressed data element in a first data path until the first data element is read;c) concurrently writing the first data element to a victim hash table of the at least one victim hash table, based on the first data element comprising an indication that it is a valid data element, using a second address generated by a second hash function from the first data element, and reading a second data ...

METHOD FOR RUNNING A COLLISION PROTECTION SYSTEM FOR A MEDICAL OPERATING DEVICE, MEDICAL OPERATING DEVICE, COMPUTER PROGRAM, AND DATA STORAGE MEDIUM

A method is provided for running a collision protection system for a medical operating device, which has a patient bed for a patient to be operated on, an image recording device having at least one movable image recording component for recording image data of the patient during the operation, and an assistance robot having a movable assistance component which during the operation is situated at least temporarily inside the patient and/or is coupled in terms of movement to an instrument situated inside the patient. In the method, an item of criticality information is determined which describes the criticality of possible collisions of components of the operating device and/or movements of the patient with regard to the interaction of the assistance robot with the patient. Depending upon the criticality information, when a criticality criterion indicating a raised criticality, (e.g., a criticality exceeding a threshold value), is met, a safe mode of operation of the collision protection system is activated, which meets higher safety requirements than a normal mode of operation. 1. A method for operating a collision protection system for a medical operating device , which has a patient couch for a patient to be operated on , an image recording device with at least one movable image recording component for recording image data of the patient during the operation , and an assistance robot having a movable assistance component the operation is situated at least temporarily inside the patient and/or is coupled in terms of movement to an instrument situated inside the patient during the operation , the method comprising:determining an item of criticality information that describes a criticality of possible collisions of components of the medical operating device, movements of the patient in relation to an interaction of the assistance robot with the patient, or a combination thereof, wherein the determining takes into consideration a current operation phase, in workflow ...

FUEL FILLING DEVICE

A fuel filler device that includes a flow conduction device arranged in a filler line and configured such that during a filling, an outlet pipe of a pump nozzle is guided and supported therein, and an attachment connected to the flow conduction device. The attachment includes a first attachment end, a second attachment end, and a constriction extending between the first attachment end and the second attachment end such that the attachment tapers from the first attachment end to the second attachment end via the constriction. At least one first gap is formed between the first attachment end and the flow conduction device so that during a filling sequence, fuel vapour introduced into the fuel filler device may flow through the at least one first gap into the filler line in a direction of a fuel tank connected to the filler line. 1. A fuel filler device , comprising:a flow conduction device arranged in a filler line to guide and support an outlet pipe of a pump nozzle during a filling sequence; andan attachment connected to the flow conduction device, the attachment including a first attachment end, a second attachment end, and a constriction extending between the first attachment end and the second attachment end,wherein the first attachment end includes at least one spacer rib that extends radially inward towards the flow conduction device to position the attachment relative to the flow conduction device and define at least one gap between the first attachment end and the flow conduction device to relieve pressure during a filling sequence by facilitating flow of fuel vapour introduced into the fuel filler device into the filler line in a direction of a fuel tank which is connected to the filler line.2. The fuel filler device of claim 1 , wherein the first attachment end has a substantially cylindrical cross-section.3. The fuel filler device of claim 1 , wherein the first attachment end is configured for positioning radially on an outer surface of the flow conduction ...

CONTINUUM SEDIMENTARY BASIN MODELING USING PARTICLE DYNAMICS SIMULATIONS

A method for performing a field operation within a geologic basin includes obtaining two basin snapshots of the geologic basin, performing a particle dynamics simulation of the geologic basin using at least the two basin snapshots to generate an intermediate basin snapshot, performing, using at least the intermediate basin snapshot as a constraining condition, a basin simulation of the geologic basin to generate a simulated evolution of the basin rock geometry within the geologic basin, and performing, based on the simulated evolution of the basin rock geometry, the field operation within the geologic basin. 1. A method for performing a field operation within a geologic basin having a plurality of rock formations , comprising:obtaining a first basin snapshot of the geologic basin, wherein the first basin snapshot comprises a basin rock geometry estimate for a first geologic time, the basin rock geometry estimate estimating a basin rock geometry for the plurality of rock formations;obtaining a second basin snapshot of the geologic basin, wherein the second basin snapshot comprises the basin rock geometry estimate for a second geologic time;performing a particle dynamics simulation of the geologic basin using at least the first basin snapshot and the second basin snapshot to generate an intermediate basin snapshot, wherein the intermediate basin snapshot comprises the basin rock geometry estimate for an intermediate geologic time, wherein the intermediate geologic time is after the first geologic time and before the second geologic time;performing, using at least the intermediate basin snapshot as a constraining condition, a basin simulation of the geologic basin to generate a simulated evolution of the basin rock geometry within the geologic basin; andperforming, based on the simulated evolution of the basin rock geometry, the field operation within the geologic basin.2. The method of claim 1 , further comprising:generating the first basin snapshot and the second ...

WEAKLY SUPERVISED IMAGE CLASSIFIER

Systems and methods for training and using an image classifier are provided. A plurality of points can be generated from respective patches of images annotated as either a first type or a second type. The points corresponding to the images of the second type can be clustered into two clusters. A first cluster of the two clusters can be identified as closer to the points corresponding to the images annotated as the first type. The points in the first cluster can be assigned to a class positive, the points in the second cluster can be assigned to a class negative, and the points corresponding to the images annotated as the first type can be assigned to an anchor class. A plurality of triplets can be generated based on the points in the various classes. Parameters of an image classifier can be adjusted based on a loss function of the triplets. 1. A method of training an image classifier , comprising:generating, by a device including one or more processors, a plurality of points from respective patches generated from images that are annotated as either a first type or a second type;clustering, by the device using a clustering algorithm, the points corresponding to the images annotated as the second type into two clusters;identifying, by the device, a first cluster of the two clusters that is closer to the points corresponding to the images annotated as the first type than a second cluster of the two clusters;assigning, by the device, the points in the first cluster to a class positive, the points in the second cluster to a class negative, and the points corresponding to the images annotated as the first type to an anchor class;generating, by the device, a plurality of triplets, each triplet including a respective point from the anchor class, a respective point from the class positive, and a respective point from the class negative;calculating, by the device, a loss function of the plurality of triplets; andadjusting, by the device, parameters of an image classifier ...

SYSTEMS AND METHODS FOR IMAGE CLASSIFICATION USING VISUAL DICTIONARIES

Presented herein are systems and methods of clustering images using encoder-decoder models. A computing system may identify tiles derived from an image. Each tile may have a first dimension. The computing system may apply an image reconstruction model to the tiles. The image reconstruction model may include an encoder block having a first set of weights to generate embedding representations corresponding to the tiles. Each embedding representation may have a second dimension lower than the first dimension. The image reconstruction model may include a decoder block having a second set of weights to generate reconstructed tiles corresponding to the embedding representations. The computing system may apply a clustering model comprising a feature space to the embedding representations to classify each tile to one of a plurality of conditions. 1. A method of training encoder-decoder models to cluster images , comprising:identifying, by a computing system having one or more processors, a plurality of tiles derived from a sample image of a training dataset, each of the plurality of tiles corresponding to one of a plurality of conditions and having a first dimension; an encoder block having a first set of weights to generate a plurality of embedding representations corresponding to the plurality of tiles, each of the plurality of embedding representations having a second dimension lower than the first dimension; and', 'a decoder block having a second set of weights to generate a plurality of reconstructed tiles corresponding to the plurality of embedding representations, each of the plurality of reconstructed tiles having a third dimension higher than the second dimension;, 'applying, by the computing system, an image reconstruction model to the plurality of tiles, the image reconstruction model comprisingapplying, by the computing system, a clustering model comprising a feature space to the plurality of embedding representations to classify each the corresponding plurality ...

High-Pressure Fuel Pump For A Fuel Injection System

Various embodiments include a high-pressure fuel pump for a fuel injection system comprising: a housing defining a housing bore with a pressure chamber in a first end region and a leakage chamber in a second end region; a pump piston, during operation of the high-pressure fuel pump moved in translation between the pressure chamber and the leakage chamber along an axis; wherein the leakage chamber includes a leakage collecting region and an equalizing region arranged in circular annular fashion around the pump piston guiding section and extending parallel to the axis from the leakage collecting region toward the pressure chamber; and a low-pressure damper arranged in the equalizing region, the low-pressure damper comprising an annular piston damper and an annular piston guided to move along the axis within an annular bushing. 1. A high-pressure fuel pump for applying high pressure to a fuel in a fuel injection system of an internal combustion engine , the pump comprising:a housing defining a housing bore with a pressure chamber in a first end region and a leakage chamber in a second end region;a pump piston guided in a pump piston guiding region formed by a pump piston guiding section of the housing, the pump piston, during operation of the high-pressure fuel pump moved in translation between the pressure chamber and the leakage chamber along an axis;wherein the leakage chamber includes a leakage collecting region and an equalizing region arranged in circular annular fashion around the pump piston guiding section and extending parallel to the axis from the leakage collecting region toward the pressure chamber; anda low-pressure damper arranged in the equalizing region, the low-pressure damper comprising an annular piston damper and an annular piston guided to move along the axis within an annular bushing.2. The high-pressure fuel pump as claimed in claim 1 , wherein:the annular piston damper is arranged around the pump piston guiding section; andthe annular piston ...

SYSTEMS AND METHODS FOR MULTIPLE INSTANCE LEARNING FOR CLASSIFICATION AND LOCALIZATION IN BIOMEDICAL IMAGING

The present disclosure is directed to systems and methods for classifying biomedical images. A feature classifier may generate a plurality of tiles from a biomedical image. Each tile may correspond to a portion of the biomedical image. The feature classifier may select a subset of tiles from the plurality of tiles by applying an inference model. The subset of tiles may have highest scores. Each score may indicate a likelihood that the corresponding tile includes a feature indicative of the presence of the condition. The feature classifier may determine a classification result for the biomedical image by applying an aggregation model. The classification result may indicate whether the biomedical includes the presence or lack of the condition. 1. A method of training models for classifying biomedical images , comprising:generating, by an image classifier executing on one or more processors, a plurality of tiles from each biomedical image of a plurality of biomedical images, the plurality of biomedical images including a first biomedical image having a first label indicating a presence of a first condition and a second biomedical image having a second label indicating a lack of presence of the first condition or a presence of a second condition;establishing, by the image classifier, an inference system to determine, for each tile of the plurality of tiles in each biomedical image of the plurality of biomedical images, a score indicating a likelihood that the tile includes a feature indicative of the presence of the first condition; selecting, by the image classifier, a first subset of tiles from the plurality of tiles having the highest scores;', 'comparing, by the image classifier, the scores of the tiles in the first subset to a first threshold value corresponding to the presence of the first condition; and', 'modifying, by the image classifier, the inference system responsive to determining that the scores of at least one tile of the first subset of tiles is below ...

MULTI-STEP SUBSIDENCE INVERSION FOR MODELING LITHOSPHERIC LAYER THICKNESS THROUGH GEOLOGICAL TIME

A method, apparatus, and program product utilize a multi-step subsidence inversion to model lithospheric layer thickness through geological time for a rift basin in a subsurface formation. 1. A method of modeling a subsurface process , comprising:modeling upper mantle stretching for a rift basin in a subsurface formation during a syn-rift phase using at least one processing unit and based upon subsidence during a post-rift phase and thermal thickening of the upper mantle lithospheric layer of the subsurface formation during post-rift subsidence; andmodeling crustal stretching for the rift basin during the syn-rift phase using the at least one processing unit based upon syn-rift subsidence and the modeled upper mantle stretching.2. The method of claim 1 , further comprising modeling the thermal thickening of the upper mantle lithospheric layer of the subsurface formation during the post-rift subsidence.3. The method of claim 1 , further comprising modeling an evolution of thickness variations of the upper mantle and crust lithospheric layers through geological time based at least in part upon the modeled upper mantle stretching and modeled crustal stretching for the rift basin.4. The method of claim 3 , further comprising modeling basal heat flow in the subsurface formation through geological time based upon the modeled evolution of thickness variations.5. The method of claim 4 , further comprising performing an oilfield operation based upon the modeled evolution of thickness variations and/or the modeled basal heat flow in the subsurface formation.6. The method of claim 4 , further comprising causing a graphical depiction of the modeled evolution of thickness variations and/or the modeled basal heat flow to be displayed on a computer display.7. The method of claim 1 , wherein modeling the upper mantle stretching includes generating an upper mantle stretching factor claim 1 , and wherein modeling the crustal stretching includes generating a crust stretching factor.8. ...

PASSIVE TWO-PHASE COOLING CIRCUIT

A passive two-phase cooling circuit includes a vaporizer and a condenser for a coolant conducted in the cooling circuit. A vaporizer supply line and a vaporizer discharge line are connected to the vaporizer, and a condenser supply line and a condenser discharge line are connected to the condenser. The cooling circuit has a simple and cost-effective structure which reduces or even completely prevents pressure shocks during operation by connecting the vaporizer supply line, the vaporizer discharge line, the condenser supply line and the condenser discharge line to a common damping container. A liquid column forms in the condenser discharge line during the operation of the cooling circuit and the column assumes the function of a liquid-tight seal and of a fluid-dynamic vibration damper. 1. A passive two-phase cooling circuit , comprising:a vaporizer and a condenser for a coolant conducted in the cooling circuit;a vaporizer supply line and a vaporizer discharge line connected to said vaporizer;a condenser supply line and a condenser discharge line connected to said condenser;a damping container having a cover region and an internal space;said vaporizer supply line, said vaporizer discharge line, said condenser supply line, and said condenser discharge line being connected to said damping container;a liquid column of liquid coolant forming in said condenser discharge line during operation of the cooling circuit, said liquid column assuming a function of a liquid-tight seal and a function of a fluid-dynamic vibration damper;said condenser discharge line feeding into said cover region of said damping container, said condenser discharge line including a pipe portion projecting into said internal space of said damping container, and said liquid-tight seal being produced in said pipe portion.2. The cooling circuit according to claim 1 , wherein said pipe portion having said liquid-tight seal is U-shaped claim 1 , S-shaped or J-shaped.3. The cooling circuit according to claim ...

CHARGING DEVICE

An embodiment of the invention relates to a charging device for charging an at least partially electrically operated vehicle. The charging device is formed with at least one electrical component and a switching device. The at least one electrical component and the switching device are arranged in the charging device in such a way that when the charging device is connected to a vehicle a circuit is produced for assisting the discharging of at least one capacitor provided on the vehicle side, the capacitor being openable or closable via the switching device. 1. A charging device for charging an at least partially electrically operated vehicle , the charging device comprising:at least one electrical component; anda switching device, the at least one electrical component and the switching device being arranged in the charging device such that upon the charging device being connected to a vehicle, a circuit is produced for assisting the discharging of at least one capacitor provided on a side of the at least partially electrically operated vehicle, the at least one capacitor being openable or closable via the switching device.2. The charging device of claim 1 , wherein the at least one electrical component is an ohmic resistor.3. The charging device of claim 1 , whereinthe charging device comprises a measuring circuit to detect a defect of at least one switch, arranged in the charging device and usable to switch a charging process, andthe at least one electrical component is part of the measuring circuit.4. The charging device of claim 3 , wherein the defect resides in the fact that the at least one switch can no longer be opened after conclusion of the charging process.5. The charging device of claim 3 , whereinthe charging device for the charging process includesan outer conductor;a neutral conductor; anda protective conductor, andwherein to produce the measuring circuitthe outer conductor and the neutral conductor are connected to one another via two sequential ...

SYSTEMS AND METHODS FOR PROCESSING IMAGES TO CLASSIFY THE PROCESSED IMAGES FOR DIGITAL PATHOLOGY

Systems and methods are disclosed for receiving a target image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning model to the target image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target image, the machine learning model having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the at least one characteristic of the target specimen and/or the at least one characteristic of the target image. 1. A computer-implemented method for analyzing an image corresponding to a specimen , the method comprising:receiving a target image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient;applying a machine learning system to the target image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target image, the machine learning system having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated; andoutputting the at least one characteristic of the target specimen and/or the at least one characteristic of the target image.2. The computer-implemented method of claim 1 , further comprising:determining a prediction of a specimen type of the target specimen based on the at least one characteristic of the target specimen; andoutputting the prediction of the specimen type of the target specimen.3. The computer-implemented method of claim 1 , further comprising:determining a prediction of a specimen type of the target specimen based on the at least one characteristic of the target specimen; andin response to determining that a confidence value of ...

SYSTEMS AND METHODS FOR PROCESSING IMAGES TO PREPARE SLIDES FOR PROCESSED IMAGES FOR DIGITAL PATHOLOGY

Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared. 1. A computer-implemented method for processing an electronic image corresponding to a specimen , the method comprising:receiving a target electronic image of a slide corresponding to a target specimen, the target specimen comprising a tissue sample from a patient;applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images comprising images of human tissue and/or images that are algorithmically generated; andbased on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.2. The computer-implemented method of claim 1 , wherein determining deficiencies comprises determining a likelihood that the additional slide is to be prepared based on specimen information of the target specimen claim 1 , andin response to the likelihood being greater than or equal to a predetermined amount, automatically ordering the additional slide to be prepared.3. The ...

Coated solid particles

The invention relates to a method for treating the surfaces of solid particles to improve the processability of the solid particles in the electrostatic field and to reduce the dust formation which occurs during the processing of the solid particles.

Procedure for registration when setting an orientation of an instrument and robotic system

Verfahren zur Registrierung beim Einstellen einer Ausrichtung eines Instruments (4) relativ zu einem Objekt (O) während einer Bearbeitung oder Behandlung dieses Objekts (O) mittels des Instruments (4),- wobei das Instrument (4) beweglich ist und mehrere Freiheitsgrade der Bewegung aufweist,- wobei bei der Behandlung oder Bearbeitung zumindest ein Arbeitsschritt vorgegeben ist, in welchem die Ausrichtung des Instruments (4) relativ zum Objekt (O) vorgegeben ist und in welchem die Einstellung der Ausrichtung lediglich bezüglich einer Teilanzahl der Freiheitsgrade erforderlich ist,- wobei jene Freiheitsgrade, bezüglich welcher eine Einstellung der Ausrichtung erforderlich ist, bestimmt werden und als relevante Freiheitsgrade gespeichert werden,- wobei ein drei-dimensionales Planungsbild des Objekts (O) bereitgestellt wird,- wobei mittels eines Bildgebungssystems (6) zumindest ein zwei-dimensionales Arbeitsbild des Objekts (O) erzeugt wird,- wobei das Arbeitsbild mit dem Planungsbild registriert wird, sodass sich für einige der Freiheitsgrade eine höhere Registrier-Genauigkeit ergibt als für die übrigen Freiheitsgrade,- wobei das Arbeitsbild in einer Blickrichtung (BR) aufgenommen wird, welche in Abhängigkeit der relevanten Freiheitsgrade derart ausgewählt wird, dass die relevanten Freiheitsgrade die Freiheitsgrade mit der höheren Registrier-Genauigkeit sind. Method for registration when setting an alignment of an instrument (4) relative to an object (O) during processing or treatment of this object (O) by means of the instrument (4), - the instrument (4) being movable and several degrees of freedom of movement - wherein at least one work step is specified in the treatment or processing, in which the alignment of the instrument (4) relative to the object (O) is specified and in which the adjustment of the alignment is only required with respect to a partial number of the degrees of freedom, - wherein those degrees of freedom with respect to which an adjustment of the ...

Process for controlling the ink flow in a printing press

Magnetic valve for a fuel injection system and high pressure fuel pump

Arrangement for printing devices for monitoring printing medium containers

Containers (11, 12) for printing devices, be they ink reservoirs, ribbon cassettes or toner reservoirs, are fitted with an electronic storage device (14) in the form of a chip in which the information on the current level of the container and/or other status data relevant to printer operation, e.g. expiry date of printing medium, are stored. The level of the printing medium is detected via the central control system (16) of the printing device and transmitted to the chip (14). The chip on the container monitors consumption until the level of the printing medium (ink, ribbon, toner) has fallen to the point at which the container needs to be changed. It is impossible to reprogram the chip and thus to refill the container.

Arrangement for printing devices for monitoring printing medium containers

Containers (11, 12) for printing devices, be they ink reservoirs, ribbon cassettes or toner reservoirs, are fitted with an electronic storage device (14) in the form of a chip in which the information on the current level of the container and/or other status data relevant to printer operation, e.g. expiry date of printing medium, are stored. The level of the printing medium is detected via the central control system (16) of the printing device and transmitted to the chip (14). The chip on the container monitors consumption until the level of the printing medium (ink, ribbon, toner) has fallen to the point at which the container needs to be changed. It is impossible to reprogram the chip and thus to refill the container.

Pump for a motor vehicle

Eine Pumpe für ein Kraftfahrzeug weist auf:- ein Pumpengehäuse (101),- einen Gehäusedeckel (102), wobei das Pumpengehäuse (101) und der Gehäusedeckel (102) einen Dämpferraum (103) einschließen,- eine Dämpferkapsel (104), die in dem Dämpferraum (103) angeordnet ist und die zwei Membrane (101) aufweist, die in einem Randbereich (106) miteinander verbunden sind,- eine erste Halterung (107) für die Dämpferkapsel (104), wobei die erste Halterung (107) in Kontakt mit dem Randbereich (106) ist und in Kontakt mit dem Pumpengehäuse (101),- eine zweite Halterung (108) für die Dämpferkapsel (104), wobei die zweite Halterung (108) in Kontakt mit dem Randbereich (106) ist und in Kontakt mit der Mitte (109) des Gehäusedeckels (102) . A pump for a motor vehicle has: - a pump housing (101), - a housing cover (102), the pump housing (101) and the housing cover (102) enclosing a damper chamber (103), - a damper capsule (104), which in is arranged in the damper chamber (103) and has two membranes (101) which are connected to one another in an edge region (106), - a first holder (107) for the damper capsule (104), the first holder (107) being in contact with the edge region (106) and in contact with the pump housing (101), - a second holder (108) for the damper capsule (104), the second holder (108) being in contact with the edge region (106) and in contact with the center (109) of the housing cover (102).

Fuel tank for motor vehicles with filling level limiting device

A fuel tank for vehicles has a filler tube and a filling level limiting device, with the filler tube comprising, in the interior of the fuel tank, a closing device which interacts with an actuating device which is composed of: a) a frame which is fastened in the interior of the fuel tank and which has a force store which actuates the closing device; b) a locking arrangement which holds the force store in the stressed state; c) a release mechanism which is operatively connected to a float; and d) a stressing mechanism for stressing the force store. The actuating device ensures that a flap closes precisely when a nominal filling level is reached, and does not open again even under intense fluctuation of the liquid level.

FLUID SOLID PARTICLE FOR ELECTROSTATIC FIELD TREATMENT, ITS USE AND PRODUCTION PROCESS

partícula sólida fluida para tratamento no campo eletrostático, seu uso e seu processo de produção a presente invenção se refere a um processo para tratamento superficial de partículas sólidas para o aperfeiçoamento da processabilidade das partículas sólidas no campo eletrostático, bem como para a redução do desenvolvimento de poeira que ocorre no processamento das partículas sólidas. fluid solid particle for electrostatic field treatment, its use and production process The present invention relates to a process for surface treatment of solid particles for improving the processability of solid particles in the electrostatic field, as well as for reducing the development of dust that occurs in the processing of solid particles.

Aircraft towing vehicle

Method for retrieving information over quick response codes by electronic devices, particularly smartphones, involves supplementing quick response codes by code consisting of characters and numbers

The method involves supplementing the quick response codes by a code consisting of characters and numbers. The code is either placed directly at the quick response code, within the quick response code or at other arbitrary point. The entry of this code consisting of characters and numbers is guided in the electronic device, particularly smartphone, for retrieving the information associated with the quick response codes.

Sensor device

Sensoreinrichtung für die optische Erfassung von streifenförmigen Druckflächen (1) auf entlang einer Bedruckstoffbahn bewegten Bedruckstoffen (2), bestehend aus einer der Bedruckstoffbahn zugeordneten Flächenkamera (3) mit einem Matrixsensor (4), dadurch gekennzeichnet, dass durch optische Mittel (5), die der Flächenkamera (3) vorgeordnet sind, Abschnitte (6) der Druckfläche (1), die in Richtung der Hauptausdehnung der Druckfläche (1) aufeinander folgen, benachbart zueinander auf den Matrixsensor (4) projizierbar sind. Sensor device for the optical detection of strip-shaped printing surfaces (1) moved along a printing substrate printing materials (2) consisting of a the printing material associated surface camera (3) with a matrix sensor (4), characterized in that by optical means (5) the surface camera (3) are arranged upstream, sections (6) of the printing surface (1), which follow one another in the direction of the main extent of the printing surface (1) adjacent to each other on the matrix sensor (4) are projected.

Systems and methods for processing electronic images for computational detection methods

Systems and methods are disclosed for receiving one or more electronic slide images associated with a tissue specimen, the tissue specimen being associated with a patient and/or medical case, partitioning a first slide image of the one or more electronic slide images into a plurality of tiles, detecting a plurality of tissue regions of the first slide image and/or plurality of tiles to generate a tissue mask, determining whether any of the plurality of tiles corresponds to non-tissue, removing any of the plurality of tiles that are determined to be non-tissue, determining a prediction, using a machine learning prediction model, for at least one label for the one or more electronic slide images, the machine learning prediction model having been generated by processing a plurality of training images, and outputting the prediction of the trained machine learning prediction model.

Method and system for pipeline depth exploration in a register transfer level design description of an electronic circuit

An improved method and system are provided for pipeline depth exploration in a register transfer level design description of an electronic circuit. The method comprises providing a list of input registers and output registers for the circuit design to be modified S100, traversing output connections paths for each input register and replacing any register in the output connection paths by a respective wire unless the register is contained in the list of output registers S110. An initial total cycle time value for the modified registerless circuit design is determined, accounting for a register latch insertion delay time value S120. A gate level description for the modified circuit design is obtained by macro synthesis with the initial total cycle time value S130, and the total cycle time value for the modified circuit design is varied to determine theoretical limit of the modified circuit design S140. The theoretical limit of the modified circuit design is realized when negative slacks are present in the macro synthesis of the gate level description for the modified circuit design with the corresponding total cycle time value S150. The pipeline depth of the circuit design may be reduced, if said total cycle time value of the modified circuit design is lower than a threshold.

Systems and methods for processing electronic images for biomarker localization

Systems and methods are disclosed for receiving digital images of a pathology specimen from a patient, the pathology specimen comprising tumor tissue, the one or more digital images being associated with data about a plurality of biomarkers in the tumor tissue and data about a surrounding invasive margin around the tumor tissue; identifying the tumor tissue and the surrounding invasive margin region to be analyzed for each of the one or more digital images; generating, using a machine learning model on the one or more digital images, at least one inference of a presence of the plurality of biomarkers in the tumor tissue and the surrounding invasive margin region; determining a spatial relationship of each of the plurality of biomarkers identified in the tumor tissue and the surrounding invasive margin region to themselves and to other cell types; and determining a prediction for a treatment outcome and/or at least one treatment recommendation for the patient.

Fracture-separated engine component and method for manufacturing same

A fracture-separated engine component and a method for manufacturing same is described. Prior to fracture separation, the engine component is case-hardened by nitriding and has a nitriding hardness depth of 0.4 to 0.7 mm. After the nitriding, the engine component is cooled such that each one of the subsequent fracture surfaces (6) reaches a temperature below -100°C. The fracture separation is then performed. After fracture separation, the engine component has two fracture surfaces along a fracture plane, the fracture surfaces having hardened peripheral areas and unhardened core sections. No point of the unhardened core sections located in the fracture plane is located at a distance of more than 1.1 mm from the nearest hardened peripheral area. Each one of the fracture surfaces has a cross sectional face comprising elongated partial fracture surfaces with a width of less than 3.2 mm.

Detection of annotated regions of interest in images

The present disclosure is directed to systems and methods for identifying regions of interest (ROIs) in images. A computing system may identify an image including an annotation defining an ROI. The image may have a plurality of pixels in a first color space. The computing system may convert the plurality of pixels from the first color space to a second color space to differentiate the annotation from the ROI. The computing system may select a first subset of pixels corresponding to the annotation based at least on a color value of the first subset of pixels in the second color space. The computing system may identify a second subset of pixels included in the ROI from the image using the first subset of pixels. The computing system may store an association between the second subset of pixels and the ROI defined by the annotation in the image.

Nuclear facility with a fuel pool and an according cooling module

The invention relates to a nuclear facility (12) with a fuel pool (2) containing a liquid (4) and with an associated cooling circuit (32) for a circulating cooling agent, the cooling circuit (32) comprising * a cooling module (14) with a first heat exchanger (18) which immerges into the liquid (4), * a second heat exchanger (34) which is located outside the fuel pool (2), * connecting lines (36) between the first exchanger (18) and the second heat exchanger (34). In order to provide for reliable cooling even if the filling level (6) drops, the cooling module (14) comprises a lifting body (16) and floats in the liquid (4) such that its altitude varies with the filling level (6) of the liquid (4) in the fuel pool (2).

Fuel filling device

Kraftstoffbefüllvorrichtung (1), umfassend einen Befüllleitung, eine in der Befüllleitung angeordnete Strömungsleiteinrichtung (2), wobei die Strömungsleiteinrichtung (2) so ausgebildet ist, dass während einer Betankung das Auslaufrohr einer Zapfpistole in dieser geführt und abgestützt aufgenommen ist und einen Aufsatz (3) für die Strömungsleiteinrichtung (2), wobei der Aufsatz (3) ein erstes Ende (A) aufweist, welches radial außen an der Strömungsleiteinrichtung (2) angeordnet ist, wobei der Aufsatz (3) ein zweites Ende (C) aufweist, wobei sich der Aufsatz (3) vom ersten Ende (A) zum zweiten Ende (C) hin über eine Verjüngung (B) verjüngt, wobei zwischen dem ersten Ende (A) des Aufsatzes (3) und der Strömungsleiteinrichtung (2) zumindest ein Spalt (4) ausgebildet ist, so dass der während der Betankung in die Kraftstoffbefüllvorrichtung (1) eingeleitete Kraftstoffdampf während einer Betankung durch den zumindest einen Spalt (4) in die Befüllleitung in Richtung eines mit der Befüllleitung verbundenen Kraftstoffbehälters strömen kann. Fuel filling device (1), comprising a filling line, a flow guide (2) arranged in the filling line, wherein the flow guide (2) is designed so that the outlet pipe of a fuel nozzle is received and supported in a refueling during refueling and has an attachment (3). for the flow-guiding device (2), wherein the attachment (3) has a first end (A), which is arranged radially on the outside of the flow-guiding device (2), wherein the attachment (3) has a second end (C), wherein the Attachment (3) tapers from the first end (A) to the second end (C) via a taper (B), at least one gap (4) between the first end (A) of the attachment (3) and the flow-guiding device (2). is formed, so that during refueling in the Kraftstoffbefüllvorrichtung (1) introduced fuel vapor during refueling through the at least one gap (4) in the filling line in the direction of can flow with the filling line connected fuel tank.

Freezing cabinet with several compartments

The freezer has at least two adjacent chambers (1,2) with common insulation (3) or with individual insulation, where the interiors of the individual chambers are connected together by at least one cold gas connection (6). The cold gas connection is arranged in the common insulation or in the external insulation formed by the adjacent individual insulation material. The cold gas connection is a through hole in the adjacent walls (4,5) of the chambers. It has a controllable blocking device (7) or flap.

Collar fitting for a fixture

Print image information producing method, involves converting sheet imaging data into portable data format and is compared with portable data format reference file and providing sheet imaging data with specific geometric resolution

The method involves scanning printed sheets outside a printing machine. The measuring instrument densitometric and/or colorimetric print image data of printed sheet surfaces are provided for color adjustment of a sheet-fed printing machine. The sheet imaging data for a complete sheet formation has a specific sheet format-dependent geometric resolution. The sheet imaging data are converted into a portable data format and is compared with a portable data format reference file. An independent claim is also included for a measuring device for executing a method for producing print image information of color adjustment and quality control at sheet-fed printing machines.

Machine learning model for analyzing pathology data from metastatic sites

Described herein are systems and methods of determining primary sites from biomedical images. A computing system may identify a first biomedical image of a first sample from one of a primary site or a secondary site associated with a condition in a first subject. The computing system may apply the first biomedical image to a site prediction model comprising a plurality of weights to determine the primary site for the condition. The computing system may store an association between the first biomedical image and the primary site determined using the site prediction model.

Fracture-separated engine component and method for manufacturing same

A fracture-separated engine component and a method for manufacturing same is described. The engine component includes first and second parts each having a fracture surface extending along a fracture plane. Prior to fracture separation, the engine component is case-hardened by nitriding and has a nitriding hardness depth of 0.4 to 0.7 mm. After the nitriding, the engine component is cooled such that each one of the subsequent fracture surfaces reaches a temperature below −100° C. The fracture separation is then performed. After, the engine component has two fracture surfaces along a fracture plane, the fracture surfaces having hardened peripheral areas and unhardened core sections. No point of the unhardened core sections located in the fracture plane is located at a distance greater than 1.1 mm from a nearest hardened peripheral area. Each one of the fracture surfaces includes elongated partial fracture surfaces with a width of less than 3.2 mm.

Control of color deposition in a printing machine has color measured and compared with reference to control components

A decorative pattern in color is available as a reference and this is camera sampled. The color at any point is based upon three color components and these are defined in look up tables that relate to position. A comparison between measured and reference values is used to control the color printing process.

Sheet feed in printing presses

FUEL TANK FOR MOTOR VEHICLES WITH LEVEL-LIMITING DEVICE

Abrasive grain on the basis of electrofused aluminum oxide with a surface coating comprising titanium oxide and/or carbon

The present invention relates to an abrasive grain on the basis of electrofused aluminum oxide with a surface coating comprising titanium oxide and/or carbon, wherein compounds formed of titanium oxide and/or carbon particles at the abrasive grain surface by means of a temperature treatment are tightly connected to the abrasive grain surface without an additional binding agent.

Simulation model optimization

A method including the steps of: providing a finite element grid described with respect to a lateral coordinate axis and a depth coordinate axis to model a multilayer sedimentary basin (510); coarsening the finite element grid with respect to the lateral coordinate axis to provide a coarsened finite element grid (520); performing a backstripping and forward simulation cycle using the coarsened finite element grid to provide geometry and porosity results for the model of the multilayer sedimentary basin (530); refining the finite element grid with respect to the lateral coordinate axis to provide a refined finite element grid (540); and performing backstripping and forward simulation cycle using the refined finite element grid and at least the porosity results to provide enhanced geometry and porosity results for the model of the multilayer sedimentary basin (550).

Deep multi-magnification networks for multi-class image segmentation

Described herein are Deep Multi -Magnification Networks (DMMNs). The multi-class tissue segmentation architecture processes a set of patches from multiple magnifications to make more accurate predictions. For the supervised training, partial annotations may be used to reduce the burden of annotators. The segmentation architecture with multi-encoder, multi-decoder, and multi-concatenation outperforms other segmentation architectures on breast datasets, and can be used to facilitate pathologists' assessments of breast cancer in margin specimens.