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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 3. Отображено 3.
29-10-2020 дата публикации

Special biochar-based fertilizer for improving foreshore saline-alkali soil, and preparation method and use thereof

Номер: AU2020102331A4
Автор: GAO HONGBEI, SHAN SHENGDAO, ZHENG RUONAN, GAO, Hongbei, SHAN, Shengdao, ZHENG, Ruonan
Принадлежит: BOSH IP Pty Ltd

The present invention relates to a special biochar-based fertilizer for improving foreshore saline-alkali soils, and a preparation method thereof, and belongs to the technical field of the improvement of coastal saline-alkali soils. The special biochar-based fertilizer for improving foreshore saline-alkali soils disclosed in the present invention includes the following components, in parts by weight: 40 to 60 parts of biochar, 20 to 40 parts of humic acid substance, 10 to 20 parts of inorganic compound fertilizer, 5 to 15 parts of desulfurization gypsum, 5 to 15 parts of fly ash, and 3 to 5 parts of hydrolyzed polymaleic anhydride (HPMA). The biochar-based fertilizer of the present invention has characteristics, such as rich and easy-available raw materials, rich nutrients, large specific surface area (SSA), strong ion adsorption capacity, and remarkable improvement effect. The present invention can not only realize the rapid and effective improvement of saline-alkali soils, but also achieve ...

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Номер записи: 1
07-07-2023 дата публикации

Self-assembled functional hydrogel based on mutant proteins of blind eel mucus line proteins EsTK alpha and EsTK gamma

Номер: CN116396373A
Автор: CAO HUI, SUN RUISHUANG, LIU LUO, ZHENG RUONAN, ZHU WENLONG, SUN YUXUAN
Принадлежит:

The invention relates to a self-assembled functional hydrogel based on mutant proteins of blind eel mucus line proteins EsTK [alpha] and EsTK [gamma]. Parts of amino acids of EsTK alpha and EsTK gamma proteins are optimized and modified respectively, so that the hydrophilicity is enhanced. The method comprises the following steps: carrying out recombinant expression on EsTK alpha-TQQYT and EsTK gamma-QTQTT proteins, washing inclusion bodies of the EsTK alpha-TQQYT and EsTK gamma-QTQTT proteins by adopting two inclusion body washing solutions, adding a denaturing agent for dissolving, mixing the two obtained protein solutions, and carrying out self-assembly and separation to obtain the assembled protein gel. The phase separation of the directly self-assembled protein assembly solution is realized after ultrafiltration and centrifugation, so that the simple, rapid and efficient assembly of the two proteins is realized. The assembled protein gel has good water absorption and water retention ...

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Номер записи: 2
01-08-2023 дата публикации

Information recommendation method and device based on embedded table compression, equipment and medium

Номер: CN116522003A
Автор: ZHANG JUNYANG, ZHENG RUONAN, WANG ZHAOXIANG, WANG ZHICHAO, WANG CHEN, ZHANG YU, JIANG TIANZAI
Принадлежит:

The invention relates to an information recommendation method and device based on embedded table compression, equipment and a medium. The method comprises the steps of determining to-be-compressed features and non-compressed features in a to-be-compressed embedding table of a recommendation model according to a preset compression ratio, and generating a similarity index matrix based on the similarity between the to-be-compressed features and the non-compressed features. And then generating an index dictionary based on the similarity index matrix, and replacing the first feature mapping dictionary according to the index dictionary to generate a second feature mapping dictionary. And finally, after to-be-recommended data is obtained, replacing features in the to-be-recommended data according to the second feature mapping dictionary, inputting the replaced features into the recommendation model, and outputting a prediction result. On the premise of not excessively influencing the model precision ...

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Номер записи: 3