Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Boris Kiselev"'
Publikováno v:
Heliyon, Vol 8, Iss 8, Pp e10269- (2022)
Externí odkaz:
https://doaj.org/article/953a97b2cafc452688a081dacc3552cb
Publikováno v:
Heliyon, Vol 8, Iss 6, Pp e09664- (2022)
Predicting personality traits from social networking site profiles can help to assess individual differences in verbal reasoning without using long questionnaires. Inspired by earlier studies, which investigated whether abstract-thinking ability are
Externí odkaz:
https://doaj.org/article/a8c8da70fd184bf792ac0398c6526e5c
Autor:
Boris Kiselev, Vyacheslav Yakutenko
Publikováno v:
Procedia Computer Science. 169:373-379
Massive Open Online Course (MOOC) is a form of online education that provides great learning capabilities. Semantic Web technologies is an appropriate mechanism for personalization in MOOC platforms. The aim of this paper is to find out how Semantic
Autor:
Valeriya Matsuta, Alexandra Kosheleva, Pavel Kiselev, Artem Feshchenko, Irina M. Bogdanovskaya, Boris Kiselev
Publikováno v:
Procedia Computer Science. 169:158-163
Earlier research has shown that personality traits can be predicted by mining social networks data. This paper describes the social constructivism grounds of machine learning methods in career guidance and broadens understanding role of social networ
Autor:
Boris Kiselev, Colleen Pettrey
Publikováno v:
Journal of the Academy of Consultation-Liaison Psychiatry. 63:S67-S68
Autor:
Zulfiya Filatova, Boris Kiselev
Publikováno v:
INTED2021 Proceedings.
Publikováno v:
The Primary Care Companion For CNS Disorders.
To the Editor: Among stimulants, caffeine is the most prevalent, and there has been some research on its neuropsychiatric effects. Caffeine increases motor behaviors and has a wake-promoting effect through its inhibition of adenosine receptors. Caffe
Autor:
Harry C. Dorn, Richey M. Davis, Yafen Zhang, Zhi Sheng, John R. Morris, Boris Kiselev, Ying Chen, Kanwarpal S. Bakshi, Daniel R. Karolyi, Louis A. Madsen, Jie Zhu, Amnah Eltahir, Tinghui Li, Jianyuan Zhang, Stephen M. LaConte, Susan Murphy
Publikováno v:
Journal of the American Chemical Society. 137(24)
The development of new nanoparticles as next-generation diagnostic and therapeutic ("theranostic") drug platforms is an active area of both chemistry and cancer research. Although numerous gadolinium (Gd) containing metallofullerenes as diagnostic ma
Publikováno v:
Endohedral Fullerenes: From Fundamentals to Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6cb74a014c785de95bcd12411721ac8
https://doi.org/10.1142/9789814489843_0013
https://doi.org/10.1142/9789814489843_0013
Autor:
Boris Kiselev, Daniel R. Karolyi, Louis A. Madsen, Yafen Zhang, Kanwarpal S. Bakshi, Jie Zhu, John R. Morris, Harry C. Dorn, Stephen M. LaConte, Jianyuan Zhang, Ying Chen, Zhi Sheng, Tinghui Li, Amnah Eltahir, Susan Murphy, Richey M. Davis
Publikováno v:
Journal of the American Chemical Society. 138:1723-1723