Zobrazeno 1 - 10
of 2 959
pro vyhledávání: '"Glushkova, A. A."'
Autor:
K. Yu. Klyshnikov, P. S. Onishchenko, T. V. Glushkova, T. N. Akentyeva, A. E. Kostyunin, M. A. Rezvova, E. A. Ovcharenko
Publikováno v:
Сибирский научный медицинский журнал, Vol 44, Iss 5, Pp 119-128 (2024)
The aim of the study was to compare scenarios of numerical modeling of the operation of a heart valve bioprosthesis, identifying their advantages and limitations. Material and methods. Numerical modeling was conducted in the Abaqus/ CAE (Dassault Sys
Externí odkaz:
https://doaj.org/article/7ae03b759ed443e0ab4c5ccf1974bcaf
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 32, Iss 2, Pp 234-241 (2024)
In recent years, artificial intelligence methods have been developed in various fields, particularly in education. The development of computer systems for student learning is an important task and can significantly improve student learning. The devel
Externí odkaz:
https://doaj.org/article/f6792d468771418d91903cef4e51276b
Publikováno v:
Czech Journal of Animal Science, Vol 69, Iss 10, Pp 389-399 (2024)
The development of intelligent systems for the tracking of free-range livestock is a challenge to both information and communication technology (ICT) scientists and those in the animal sciences. Cyber-physical systems make it possible to track and co
Externí odkaz:
https://doaj.org/article/260f691ba4df4d668e31db9ead63d311
BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation
Although neural-based machine translation evaluation metrics, such as COMET or BLEURT, have achieved strong correlations with human judgements, they are sometimes unreliable in detecting certain phenomena that can be considered as critical errors, su
Externí odkaz:
http://arxiv.org/abs/2305.19144
The analysis of human movements has been extensively studied due to its wide variety of practical applications, such as human-robot interaction, human learning applications, or clinical diagnosis. Nevertheless, the state-of-the-art still faces scient
Externí odkaz:
http://arxiv.org/abs/2304.14502
Motion Capture Benchmark of Real Industrial Tasks and Traditional Crafts for Human Movement Analysis
Human movement analysis is a key area of research in robotics, biomechanics, and data science. It encompasses tracking, posture estimation, and movement synthesis. While numerous methodologies have evolved over time, a systematic and quantitative eva
Externí odkaz:
http://arxiv.org/abs/2304.03771
Publikováno v:
West Kazakhstan Medical Journal, Vol 66, Iss 3, Pp 255-266 (2024)
Abstract Anabolic-androgenic steroids (AAS) are synthetic variations of the male sex hormone testosterone. They mimic testosterone's effects, primarily promoting muscle growth (anabolic effects) and enhancing male traits (androgenic effects). The mis
Externí odkaz:
https://doaj.org/article/6ccdf7e36fa44eb38759f585a9b20667
Publikováno v:
Acta Biomedica Scientifica, Vol 9, Iss 4, Pp 91-99 (2024)
Background. Tooth extraction is considered the most frequently performed operation in surgical dentistry, which can often cause inflammatory complications. Modern research has come a long way in terms of developing methods for the prevention, diagnos
Externí odkaz:
https://doaj.org/article/a8db5678e15940d88452546950cf333f
Autor:
Fatima Kassymbekova, Natalya Glushkova, Gauhar Dunenova, Dilyara Kaidarova, Katarzyna Kissimova-Skarbek, Annelene Wengler, Indira Zhetpisbayeva, Oxana Shatkovskaya, Olga Andreyeva, Kairat Davletov, Ardak Auyezova, Alexander Rommel
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Globally, cancer is the second leading cause of death, with a growing burden also observed in Kazakhstan. This study evaluates the burden of common cancers in Almaty, Kazakhstan's major city, from 2017 to 2021, utilizing data from the Inform
Externí odkaz:
https://doaj.org/article/ae0993beaa04494aafb9fdc76307cf53
Autor:
Ferhat Karaca, Mert Guney, Akmaral Agibayeva, Nurlan Otesh, Mukhtar Kulimbet, Natalya Glushkova, Yuefang Chang, Akira Sekikawa, Kairat Davletov
Publikováno v:
Engineering Reports, Vol 6, Iss 10, Pp n/a-n/a (2024)
Abstract The present study introduces a concentration estimation model for indoor inhalable fine particles (PM2.5) during cooking activities in typical Kazakh houses, which are generally poorly ventilated with high emission levels. The aim of the pre
Externí odkaz:
https://doaj.org/article/1345ef4d02454a6cba70d8f0567b1c82