Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Maria Vaida"'
Autor:
Rebecca J. Henry, James P. Barrett, Maria Vaida, Niaz Z. Khan, Oleg Makarevich, Rodney M. Ritzel, Alan I. Faden, Bogdan A. Stoica
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-26 (2024)
Abstract Obesity increases the morbidity and mortality of traumatic brain injury (TBI). Detailed analyses of transcriptomic changes in the brain and adipose tissue were performed to elucidate the interactive effects between high-fat diet-induced obes
Externí odkaz:
https://doaj.org/article/1dbdabb0b828407a8953d7b49918c8aa
Autor:
Pranita Patil, Maria Vaida
Publikováno v:
EPiC Series in Computing.
Interacting systems such as gene regulatory networks have the ability to respond to in- dividual component changes, propagate these changes throughout the network, and affect the temporal trajectories of other network elements. Causality techniques a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::652de391ac4f0d75b8e2c50ba0caf773
https://doi.org/10.29007/6cqn
https://doi.org/10.29007/6cqn
Publikováno v:
Applied Medical Informatics, Vol 30, Iss 2, Pp 32-38 (2012)
Purpose: many studies in experimental models have evidenced the presence of inflammation in venous vascular dysfunction and the implication of TNF-α in vascular pathology, through its prooxidant and proinflammatory effect. Starting from these studie
Externí odkaz:
https://doaj.org/article/7163d31d90ff4db9b7e52bd30cbdcd30
Autor:
Maria Vaida, Pranita Patil
Publikováno v:
ICISDM
Probabilistic Graph Neural Network (PGNN) introduced here proposes a machine learning application that combines deep learning on graphs with probabilistic modeling, to account for uncertainty in both inputs and outputs. Graph neural network models (G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03eca9bd903bf05e62bfa7725afe1417
https://doi.org/10.1145/3404663.3404680
https://doi.org/10.1145/3404663.3404680
Autor:
Maria Vaida, Kevin Purcell
Publikováno v:
ICMLA
Graph neural networks (GNNs) have revolutionized deep learning on non-Euclidean data domains, and are extensively used in fields such as social media and recommendation systems. However, complex relational data structures such as hypergraphs, pose ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc212c88f8642df2a566b106e6dbb50d
https://doi.org/10.1109/icmla.2019.00299
https://doi.org/10.1109/icmla.2019.00299
Autor:
Minodora Mihai, Cluj-Napoca Pharmacy, Laura Muntean, Maria Vaida Voievod, Eugenia Mociran, L. Damian, Liana Muresan, C. Nedelcut, Cristina Tacu, Liana Chicea, Simon Siao-Pin, Doina Baltariu, Daniela Dragomir, Ioana Felea, Gabriela Ieremia, Dan Nicolae Păduraru, Sibiu Astra Clinic, Nadia Radics, Simona Falaus, C. Marinescu, Ileana Filipescu, Cristina Pamfil, Bianca Comsa, Sorana D. Bolboacă, M. M. Tamas, Simona Rednic, Adriana Voie, Mihaela Nicola Velcherean, Adriana Ciornohuz, Elena Rezus
Publikováno v:
Romanian Journal of Rheumatology. 24:166-172
Aim. To achieve extensive information (regional) in relation with the tuberculosis identified in current clinical practice in patients with inflammatory rheumatic diseases treated with biological agents. Patients and methods. Twenty seven rheumatolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1e844a79ea6c7c929bcbf88a92d571c
https://doi.org/10.37897/rjr.2015.3.7
https://doi.org/10.37897/rjr.2015.3.7
Autor:
Voevod, Cristina Maria Vaida1 cristinavaida2005@yahoo.com, Moldovan, Remus1, Decea, Nicoleta1, Mureşan, Adriana1
Publikováno v:
Applied Medical Informatics. Apr2012, Vol. 30 Issue 2, p32-38. 7p. 5 Charts.
Publikováno v:
Physiology / Fiziologia. 2011, Vol. 21 Issue 2, p18-21. 4p. 1 Color Photograph, 1 Black and White Photograph, 2 Graphs.
Autor:
Voevod, Cristina Maria Vaida1, Mocan, Teodora1, Moldovan, Remus1, Decea, Nicoleta1, Mureşan, Adriana1
Publikováno v:
Physiology / Fiziologia. 2010, Vol. 20 Issue 3, p17-21. 5p. 8 Charts, 6 Graphs.
Autor:
Katalin Szocs, Maria Vaida
Publikováno v:
Materials Science Forum. :153-158
The paper presents the study of the microstructure and ultrasound measurments by proeminent part of the nodular iron castings. The experiment has been made in the Havy Machine Factory in Clausenburg. The crossing speed of the ultasound increases near
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::492c48bfc3942e558bf272eaebd74566
https://doi.org/10.4028/www.scientific.net/msf.473-474.153
https://doi.org/10.4028/www.scientific.net/msf.473-474.153