Zobrazeno 1 - 10
of 43 435
pro vyhledávání: '"Zaid AN"'
Autor:
Ubaid Ansari, Meraj Alam, Dawnica Nadora, Zohaer Muttalib, Vincent Chen, Isabel Taguinod, Megan FitzPatrick, Jimmy Wen, Zaid Ansari, Forshing Lui
Publikováno v:
AIMS Neuroscience, Vol 11, Iss 2, Pp 166-177 (2024)
Amyotrophic lateral sclerosis (ALS) is a fatal and intricate neurodegenerative disease that impacts upper and lower motor neurons within the central nervous system, leading to their progressive destruction. Despite extensive research, the pathogenesi
Externí odkaz:
https://doaj.org/article/2d01368dabe1463ba20e7b8b54b06934
Autor:
Zaid Anis Sherwani, Syeda Sumayya Tariq, Mamona Mushtaq, Ali Raza Siddiqui, Mohammad Nur-e-Alam, Aftab Ahmed, Zaheer Ul-Haq
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Free Fatty Acid Receptor 4 (FFAR4), a G-protein-coupled receptor, is responsible for triggering intracellular signaling pathways that regulate various physiological processes. FFAR4 agonists are associated with enhancing insulin release and
Externí odkaz:
https://doaj.org/article/0cbd32252fec4f7fac3faf5fbba8a4ad
Publikováno v:
Annals of Abbasi Shaheed Hospital and Karachi Medical & Dental College, Vol 28, Iss 04, Pp 194-200 (2023)
Objective: This study aimed to evaluate the potential of ChatGPT to help students for their assess ments via MCQ at different level of cognition by using different subjects of Internal medicine. Methods: This cross-sectional study was conducted in
Externí odkaz:
https://doaj.org/article/7ac8a22268db41b0a7302d26aa7cfe38
Publikováno v:
Annals of Abbasi Shaheed Hospital and Karachi Medical & Dental College, Vol 29, Iss 1 (2024)
Objective: This study aimed to compare the efficacy of ChatGPT and Google Bard as virtual tutors in supporting students across various levels of cognition in MCQ-based assessments in the field of Internal Medicine. Methods: This cross-sectional stu
Externí odkaz:
https://doaj.org/article/bfbb9e25dc964e689d4ae4205c136a19
Classification of Geographical Land Structure Using Convolution Neural Network and Transfer Learning
Publikováno v:
J. Comput. Sci., 20(12), 1580-1592. (2024)
Satellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic
Externí odkaz:
http://arxiv.org/abs/2411.12415
During the past decade, Deep Neural Networks (DNNs) proved their value on a large variety of subjects. However despite their high value and public accessibility, the protection of the intellectual property of DNNs is still an issue and an emerging re
Externí odkaz:
http://arxiv.org/abs/2411.10174
All-dielectric metasurfaces can produce structural colors, but the most advantageous design criteria are still being investigated. This work numerically studies how the two-dimensional shape of nanoparticles affects the colorimetric response under ci
Externí odkaz:
http://arxiv.org/abs/2411.05984
Surgical scene segmentation is essential for enhancing surgical precision, yet it is frequently compromised by the scarcity and imbalance of available data. To address these challenges, semantic image synthesis methods based on generative adversarial
Externí odkaz:
http://arxiv.org/abs/2410.23962
Autor:
Pieler, Michael, Bellagente, Marco, Teufel, Hannah, Phung, Duy, Cooper, Nathan, Tow, Jonathan, Rocha, Paulo, Adithyan, Reshinth, Alyafeai, Zaid, Pinnaparaju, Nikhil, Zhuravinskyi, Maksym, Riquelme, Carlos
Recently published work on rephrasing natural text data for pre-training LLMs has shown promising results when combining the original dataset with the synthetically rephrased data. We build upon previous work by replicating existing results on C4 and
Externí odkaz:
http://arxiv.org/abs/2410.20796
The rise of social media and short-form video (SFV) has facilitated a breeding ground for misinformation. With the emergence of large language models, significant research has gone into curbing this misinformation problem with automatic false claim d
Externí odkaz:
http://arxiv.org/abs/2410.16592