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Alexandru Stratan,Tatiana Manole
Pág. 490 - 509
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Eugenyi Anatoljevich Makarchenko, Marina A. Makarchenko, Tatiana M. Tiunova
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Ekaterina Kopets, Tatiana Shpilevaya, Oleg Vasilchenko, Artur Karimov and Denis Butusov
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Ján Király, Vanda Hajducková, Gabriela Gregová, Tatiana Szabóová and Emil Pilipcinec
Staphylococcus spp. is the most common cause of mastitis, with a significantly low cure rate. Bacterial characteristics like adhesion and biofilm formation, as well as extracellular factors, can affect the pathogenesis of staphylococcal mastitis. The stu...
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Tatiana A. Timofeeva, Anastasiya N. Bubnova, Balzhima T. Shagdarova, Valery P. Varlamov and Anastasiya M. Kamionskaya
The latest research has shown that chitosan acts as a growth stimulator and elicitor in plants, including resistance to biotic and abiotic factors. However, increasing concentrations could possibly make chitosan a source of stress for plants. In this stu...
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Vasiliy Gudko, Alexander Usatov, Tatiana Minkina, Nadezhda Duplii, Kirill Azarin, Tatiana V. Tatarinova, Svetlana Sushkova, Ankit Garg and Yuri Denisenko
Field peas are one of the most common crops and are grown in various climatic zones. However, the productivity of this crop can be largely limited by climatic factors. This study investigated the influence of climatic factors on pea grain yield in the se...
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Alexander Isaev, Tatiana Dobroserdova, Alexander Danilov and Sergey Simakov
This study introduces an innovative approach leveraging physics-informed neural networks (PINNs) for the efficient computation of blood flows at the boundaries of a four-vessel junction formed by a Fontan procedure. The methodology incorporates a 3D mesh...
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María del Mar Navarro-Farfán, Liliana García-Romero, Marco Antonio Martínez-Cinco, Mario Alberto Hernández-Hernández and Sonia Tatiana Sánchez-Quispe
Groundwater models serve the function of predicting and analyzing aquifer behavior. They require input information, such as hydrogeological parameters like hydraulic conductivity and storage coefficient, which are used to calibrate the model, and element...
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Tatiana Lazovskaya, Dmitriy Tarkhov, Maria Chistyakova, Egor Razumov, Anna Sergeeva and Tatiana Shemyakina
The article presents the development of new physics-informed evolutionary neural network learning algorithms. These algorithms aim to address the challenges of ill-posed problems by constructing a population close to the Pareto front. The study focuses o...
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