Zobrazeno 1 - 10
of 5 485
pro vyhledávání: '"A. Roshani"'
Publikováno v:
International Journal of Infectious Diseases, Vol 118, Iss , Pp 21-23 (2022)
Introduction: We aimed to determine the incidence of SARS-CoV-2 infection among individuals with a previous SARS-CoV-2 infection versus vaccinated individuals. Methods: In March 2020, a SARS-CoV-2 testing company began routinely screening its workfor
Externí odkaz:
https://doaj.org/article/52db892581024e8cb3547c5b32ea4bc3
Autor:
Roshani, Navid, Stein, Jonas, Zorn, Maximilian, Kölle, Michael, Altmann, Philipp, Linnhoff-Popien, Claudia
A central challenge in quantum machine learning is the design and training of parameterized quantum circuits (PQCs). Much like in deep learning, vanishing gradients pose significant obstacles to the trainability of PQCs, arising from various sources.
Externí odkaz:
http://arxiv.org/abs/2408.04751
Publikováno v:
Journal of Clinical Virology Plus, Vol 2, Iss 3, Pp 100085- (2022)
There have been reports that the Omicron variant of SARS-CoV-2 is milder and may resolve more quickly than earlier variants of SARS-CoV-2, like the Delta variant. Due to a dearth of studies on duration of PCR positivity for the Omicron variant, we st
Externí odkaz:
https://doaj.org/article/68e0f0a97b7149e1a8771f6892df66ac
Autor:
Qiang, Yao, Zhou, Xiangyu, Zade, Saleh Zare, Roshani, Mohammad Amin, Zytko, Douglas, Zhu, Dongxiao
The advent of Large Language Models (LLMs) has marked significant achievements in language processing and reasoning capabilities. Despite their advancements, LLMs face vulnerabilities to data poisoning attacks, where adversaries insert backdoor trigg
Externí odkaz:
http://arxiv.org/abs/2402.13459
Autor:
Stein, Jonas, Roshani, Navid, Zorn, Maximilian, Altmann, Philipp, Kölle, Michael, Linnhoff-Popien, Claudia
Publikováno v:
Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2. ICAART 2024
A central challenge in quantum machine learning is the design and training of parameterized quantum circuits (PQCs). Similar to deep learning, vanishing gradients pose immense problems in the trainability of PQCs, which have been shown to arise from
Externí odkaz:
http://arxiv.org/abs/2312.05552
Autor:
Lin Lin, Yang Chen, Kai He, Shamseldin Metwally, Roshani Jha, Okan Capuk, Mohammad Iqbal H. Bhuiyan, Gazal Singh, Guodong Cao, Yan Yin, Dandan Sun
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-23 (2024)
Abstract Background The choroid plexus (ChP) helps maintain the homeostasis of the brain by forming the blood-CSF barrier via tight junctions (TJ) at the choroid plexus epithelial cells, and subsequently preventing neuroinflammation by restricting im
Externí odkaz:
https://doaj.org/article/8ee94b7fe20f4ad2bcd088b2459de641
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract Objective Digital technologies have improved the performance of surveillance systems through early detection of outbreaks and epidemic control. The aim of this study is to introduce an outbreak detection web application called OBDETECTOR (Ou
Externí odkaz:
https://doaj.org/article/f0e6eb860f544b2ca825c5d83626a1fa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Brain cancer is one of the deadliest diseases, although many efforts have been made to treat it, there is no comprehensive and effective treatment approach yet. In recent years, the use of network-based analysis to identify important biologi
Externí odkaz:
https://doaj.org/article/ff78500211854e5199a1f0595a89753f
Autor:
Sheida Iranpour, Kimia Roshani, Sepehr Ashrafi, Saeede Zamani, Seyedeh Sayta Forouzeh Rafiei, Mehdi Shafiee Ardestani
Publikováno v:
Nanomedicine Journal, Vol 11, Iss 3, Pp 332-341 (2024)
Objective(s): Amiloride is a pyrazine compound that inhibits the reabsorption of sodium by blocking sodium channels in the cells of the renal cortex. It has demonstrated promising efficacy in the treatment of cancer in recent times. This study assess
Externí odkaz:
https://doaj.org/article/016bdf8327cb4979a81ebfa878feaa7e
An Overview of Green Fuels and Renewable Energies; Sources, Applications, Advantages and Limitations
Autor:
Samaneh Dehghan, Faranak Keyhani, Fatemeh Mortezazadeh, Hanieh Badakhshanian-fard,, Mohammad Roshani-Sefidkouhi
Publikováno v:
Journal of Mazandaran University of Medical Sciences, Vol 34, Iss 235, Pp 127-144 (2024)
One of the most important energy sources is non-renewable sources, including fossil fuels, the release of which causes many harmful consequences, including respiratory diseases, growth disorders, etc. On the other hand, renewable energies, including
Externí odkaz:
https://doaj.org/article/3f98cd6abc134b47a070985b25511a97