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Антибиотики и Химиотерапия
публикуются работы по поиску и созданию новых антибиотиков, результаты их экспериментального и клинического изучения
Author: Н А Селянская; Л А Егиазарян; М И Ежова; Н И Пасюкова; С О Водопьянов
МАКМАХ - Антибиотики и антимикробная терапия
На сайте www.antibiotic.ru вы найдете много полезной информации по антибиотикам и антимикробной терапии. Компания МАКМАХ занимается клинической микробиологей и антимикробной резистентно...
Инфекция и иммунитет
Научный рецензируемый медицинский журнал "Инфекция и иммунитет"
Author: И. Б. Захарова; А. В. Топорков; Д. В. Викторов
Официальный сайт ГБУ РЎРћ "Уральский научно-исследовательский институт дермаС
Межрегиональная ассоциация по клинической микробиологии иантимикробной химиотерапии (МАКМАХ)
МАКМАХ - общественная некоммерческая организация, занимающаяся исследовательской и образовательной деятельностью в области клинической микробиологии и антимикробной химиотерапии
Вестник Научно-исследовательского института железнодорожного транспорта (Вестник ВНИИЖТ)
Научный рецензируемый журнал Вестник Научно-исследовательского института железнодорожного транспорта
Author: О А Суслов; В И Федорова
Вестник МЭИ
Вестник Московского энергетического института (Вестник МЭИ). Теоретический и научно-практический журнал.
Author: Евгений Геннадьевич Гашо; Кира Дмитриевна Сергеева; Роман Русланович Перепелица
Главная страница - Здравоохранение Чувашии
О сетевом издании Номера Контакты Уважаемые коллеги! «Здравоохранение Чувашии» — рецензируемый научно-практический медицинский журнал. Это ежеквартальное издание, отражающее результаты научных исследований, ориентированных на разработку передовых медицинских технологий, освещающее научные и практические достижения в области фундаментальных исследований, экспериментальной, клинической и профилактической медицины, организации здравоохранения. «Здравоохранение Чувашии» пользуется заслуженным уважением медицинской общественности и вносит несомненный вклад в […]
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The NTU Graph Deep Learning Lab, headed by Dr. Xavier Bresson, investigates fundamental techniques in Graph Deep Learning, a new framework that combines graph theory and deep neural networks to tackle complex data domains in physical science, natural language processing, computer vision, and combinatorial optimization.
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