Zobrazeno 1 - 10
of 213
pro vyhledávání: '"A. I. Ignatov"'
Autor:
I. Ignatov, T.P. Popova
Publikováno v:
Medičnì Perspektivi, Vol 29, Iss 2, Pp 11-17 (2024)
The human visual analyzer is a high form of evolution. Some jellyfish can distinguish light and dark objects with sensitive cells. Squids, octopuses, and nautiluses from Cephalopods family have eyes with which they can see objects. Visual information
Externí odkaz:
https://doaj.org/article/d928525d79de405f91798ccc01557abb
Autor:
Stefan Nikolić, Dmitry I. Ignatov, Gennady V. Khvorykh, Svetlana A. Limborska, Andrey V. Khrunin
Publikováno v:
PeerJ Computer Science, Vol 10, p e2454 (2024)
Despite the identification of several dozen genetic loci associated with ischemic stroke (IS), the genetic bases of this disease remain largely unexplored. In this research we present the results of genome-wide association studies (GWAS) based on cla
Externí odkaz:
https://doaj.org/article/40770419c874492985953087ea0863dd
Autor:
I. Ignatov
Publikováno v:
Medičnì Perspektivi, Vol 28, Iss 4, Pp 199-206 (2023)
Mineral water has been renowned for its health benefits for over two millennia, with historical records indicating its use for rapid recovery and wound healing, especially among soldiers engaged in military activities. Over time, baths with mineral w
Externí odkaz:
https://doaj.org/article/d659f3af4e1e4ea59a51817ac26c7210
Autor:
T. Popova, I. Ignatov
Publikováno v:
Bulgarian Journal of Veterinary Medicine, Vol 26, Iss 2, Pp 168-181 (2023)
The antimicrobial effect of colloidal nanosilver (AgNPs) at concentrations of 20 and 30 ppm against reference Esherichia coli, Salmonella enterica, Staphylococcus aureus, Clostridium perfringens, Candida albicans strains and two clinical isolates (Ps
Externí odkaz:
https://doaj.org/article/5dc8e5c0ec8549528d42788c28c4dd83
Autor:
Muhammad Shahid Iqbal Malik, Muhammad Zeeshan Younas, Mona Mamdouh Jamjoom, Dmitry I. Ignatov
Publikováno v:
PeerJ Computer Science, Vol 10, p e1859 (2024)
Identification of infrastructure and human damage assessment tweets is beneficial to disaster management organizations as well as victims during a disaster. Most of the prior works focused on the detection of informative/situational tweets, and infra
Externí odkaz:
https://doaj.org/article/f56f4de813704038994b8c105b78821e
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101736- (2023)
Hope Speech Detection (HSD) from social media is a new direction for promoting and supporting positive content to encourage harmony and positivity in society. As users of social media belong to different linguistic communities, hope speech detection
Externí odkaz:
https://doaj.org/article/487cb3a4f9764839903e257f33e93980
Autor:
Reneta Toshkova, Nikolai Neshev, Ignat Ignatov, Fabio Huether, Alexander I. Ignatov, Ivan Angushev
Publikováno v:
Libri Oncologici, Vol 51, Iss 2-3, Pp 85-96 (2023)
This paper presents the results of an in vivo study of the antitumor effect of hydrogen-rich water in hamsters with experimental myeloid tumors. Hydrogen-rich EVOdrop water (HEW) with a molecular hydrogen (H2) concentration of 1.2 ppm. pH=7.3, and ox
Externí odkaz:
https://doaj.org/article/c44c99c9baf6460c9d78aaf37868a60c
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 7, Pp 101606- (2023)
Identification of threatening text on social media platforms is a challenging task. Contrary to the high-resource languages, the Urdu language has very limited such approaches and the benchmark approach has an issue of inappropriate data annotation.
Externí odkaz:
https://doaj.org/article/220eba27e5364e3cab918a0daae3c7c6
Autor:
Man Tianxing, Mikhail Lushnov, Dmitry I. Ignatov, Yulia Alexandrovna Shichkina, Natalia Alexandrovna Zhukova, Alexander Ivanovich Vodyaho
Publikováno v:
PeerJ Computer Science, Vol 7, p e777 (2021)
Researchers working in various domains are focusing on extracting information from data sets by data mining techniques. However, data mining is a complicated task, including multiple complex processes, so that it is unfriendly to non-computer researc
Externí odkaz:
https://doaj.org/article/c1988b842db34c9b8cecbee30318f418
Autor:
Ignat Ignatov, Fabio Huether, Nikolai Neshev, Yoana Kiselova-Kaneva, Teodora P. Popova, Ralitsa Bankova, Nedyalka Valcheva, Alexander I. Ignatov, Mariana Angelcheva, Ivan Angushev, Sadek Baiti
Publikováno v:
Plants, Vol 11, Iss 19, p 2655 (2022)
Gesneriaceae plant family is comprised of resurrection species, namely Boea hygrometrica and Paraboea rufescens, that are native to the Southeast Asia and Haberlea rhodopensis, Ramonda myconi, and Ramonda serbica, which are mainly found in the Balkan
Externí odkaz:
https://doaj.org/article/551b92bd678a44c093451431f744cda4