Zobrazeno 1 - 10
of 1 259
pro vyhledávání: '"Izmailova A A"'
Autor:
Amit Khanna, Jamie Adams, Chrystalina Antoniades, Bastiaan R. Bloem, Camille Carroll, Jesse Cedarbaum, Joshua Cosman, David T. Dexter, Marissa F. Dockendorf, Jeremy Edgerton, Laura Gaetano, Erkuden Goikoetxea, Derek Hill, Fay Horak, Elena S. Izmailova, Tairmae Kangarloo, Dina Katabi, Catherine Kopil, Michael Lindemann, Jennifer Mammen, Kenneth Marek, Kevin McFarthing, Anat Mirelman, Martijn Muller, Gennaro Pagano, M. Judith Peterschmitt, Jie Ren, Lynn Rochester, Sakshi Sardar, Andrew Siderowf, Tanya Simuni, Diane Stephenson, Christine Swanson-Fischer, John A. Wagner, Graham B. Jones
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Parkinson’s Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to
Externí odkaz:
https://doaj.org/article/618ab6ef31f24f8996de46c4c52bb9ee
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 32, Iss 2, Pp 140-153 (2024)
In the paper, a retrial queueing system of \(M_2/M_2/1\) type with probabilistic priority and interruptions is considered as a model of a two-modal communication network. Two classes of customers come to the system according Poisson arrival processes
Externí odkaz:
https://doaj.org/article/783cf1cc047c495085d6668f6cfc9e51
Publikováno v:
ApJS 268 21 (2023)
A catalog of the Galactic population of X-ray pulsars in high-mass X-ray binary (HMXB) systems is presented. It contains information about 82 confirmed sources: 18 persistent and 64 transient pulsars. Their basic parameters include spin period, spin
Externí odkaz:
http://arxiv.org/abs/2308.09295
Autor:
Elena S. Izmailova, Danielle Middleton, Reem Yunis, Julia Lakeland, Kristen Sowalsky, Julia Kling, Alison Ritchie, Christine C. Guo, Bill Byrom, Scottie Kern
Publikováno v:
Clinical and Translational Science, Vol 17, Iss 11, Pp n/a-n/a (2024)
Abstract The increased use of sensor‐based digital health technologies (DHTs) in clinical trials brought to light concerns about implementation practices that might introduce burden on trial participants, resulting in suboptimal compliance and beco
Externí odkaz:
https://doaj.org/article/a988b900632d4203b8331ba4bc6fb9f2
Autor:
Animesh Tandon, Bryan Cobb, Jacob Centra, Elena Izmailova, Nikolay V Manyakov, Samantha McClenahan, Smit Patel, Emre Sezgin, Srinivasan Vairavan, Bernard Vrijens, Jessie P Bakker
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e57628 (2024)
BackgroundIncreasing adoption of sensor-based digital health technologies (sDHTs) in recent years has cast light on the many challenges in implementing these tools into clinical trials and patient care at scale across diverse patient populations; how
Externí odkaz:
https://doaj.org/article/d9c090bedae34fdf89cdfddb4a3699a6
Publikováno v:
Encuentros, Iss 22 (septiembre-diciembre) (2024)
Externí odkaz:
https://doaj.org/article/5d2c3549848a4195a285c44758ec12e4
Autor:
Jennie S. Lavine, Anthony D. Scotina, Seth Haney, Jessie P. Bakker, Elena S. Izmailova, Larsson Omberg
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
IntroductionParkinson's Disease affects over 8.5 million people and there are currently no medications approved to treat underlying disease. Clinical trials for disease modifying therapies (DMT) are hampered by a lack of sufficiently sensitive measur
Externí odkaz:
https://doaj.org/article/d65414c98f3d486591f5c240318e8861
Autor:
Izmailova, Elena S.1 (AUTHOR), Middleton, Danielle2 (AUTHOR), Yunis, Reem3 (AUTHOR), Lakeland, Julia4 (AUTHOR), Sowalsky, Kristen5 (AUTHOR), Kling, Julia1 (AUTHOR), Ritchie, Alison6 (AUTHOR), Guo, Christine C.7 (AUTHOR), Byrom, Bill8 (AUTHOR), Kern, Scottie9 (AUTHOR) skern@c‐path.org
Publikováno v:
CTS: Clinical & Translational Science. Nov2024, Vol. 17 Issue 11, p1-16. 16p.
Autor:
M. A. Izmailova
Publikováno v:
Модернизация, инновация, развитие, Vol 15, Iss 1, Pp 8-26 (2024)
Purpose: of the article is to study the influence of artificial intelligence on the construction of an adaptive educational environment that takes into account the positive and negative impact of artificial intelligence, as the core of digital techno
Externí odkaz:
https://doaj.org/article/4aacf55678a648a5ad0a605510b96e90
Autor:
Aliya Yernazarova, Ulzhan Shaimerdenova, Nuraly Akimbekov, Gulzhan Kaiyrmanova, Muhtar Shaken, Asem Izmailova
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Microbial enhanced oil recovery (MEOR) is a promising method for improving oil recovery from challenging reservoirs such as those found in Kazakhstan. MEOR relies on the activities of microorganisms to modify the properties of the reservoir, such as
Externí odkaz:
https://doaj.org/article/f33ed23171cb4bafab32180264a49318