Zobrazeno 1 - 10
of 40 397
pro vyhledávání: '"Bakar A"'
Autor:
Bakar Ali Adam, MD, Yahye Garad Mohamed, MD, Mohamed Sheikh Hassan, MD, Nor Osman Sidow, MD, Mohamed osman omar jeele, MD, Abdulkadir Ahmed Mohamed, MD, Mohamed Farah Osman Hidig, MD, Abdiwahid Ahmed Ibrahim, MD, Abdikadir Mohamed Dirie, MD, Ahmed Issak Hussein, MD, Mohamed Omar Hassan, MD
Publikováno v:
Radiology Case Reports, Vol 19, Iss 12, Pp 6638-6641 (2024)
Choriocarcinoma is a rare and aggressive form of gestational trophoblastic disease with a high potential for metastasis. We report the case of a 31-year-old female who presented with severe headaches, left-sided weakness, and speech difficulties. Her
Externí odkaz:
https://doaj.org/article/d832a5594f9741dd8d871199d71b18b1
Publikováno v:
BIO Web of Conferences, Vol 131, p 04020 (2024)
Landslides are one of the most common natural hazards in Malaysia, and besides geological conditions, rainfall intensity and duration are critical factors in assessing landslide risk. This study investigates the impact of daily rainfall variation on
Externí odkaz:
https://doaj.org/article/100b98cc51da4155a19c74cba1d21666
Autor:
Jozafina Milicaj, Bakar A. Hassan, Joy M. Cote, Carlos A. Ramirez-Mondragon, Nadiya Jaunbocus, Angelika Rafalowski, Kaelan R. Patel, Colleen D. Castro, Ramaiah Muthyala, Yuk Y. Sham, Erika A. Taylor
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract A clinically relevant inhibitor for Heptosyltransferase I (HepI) has been sought after for many years because of its critical role in the biosynthesis of lipopolysaccharides on bacterial cell surfaces. While many labs have discovered or desi
Externí odkaz:
https://doaj.org/article/bcc4b0c42cce4877be0993ff4f99cb78
Autor:
Mohamed Sheikh Hassan, Nor Osman Sidow, Alper GÖKGÜL, Bakar Ali Adam, Mohamed Farah Osman, Hussein Hassan Mohamed, Ismail Gedi Ibrahim, Ishak Ahmed Abdi
Publikováno v:
Archives of Academic Emergency Medicine, Vol 11, Iss 1 (2023)
Introduction: Neurologic disorders are common reasons for emergency consultations. Most neurologic disorders seen in the emergency department (ED) are life-threatening and require urgent treatment. The goal of this study is to investigate the pattern
Externí odkaz:
https://doaj.org/article/edf439148f74430f9e24954c622fb206
Autor:
Ta, Hoang-Thang, Thai, Duy-Quy, Rahman, Abu Bakar Siddiqur, Sidorov, Grigori, Gelbukh, Alexander
In this paper, we introduce FC-KAN, a Kolmogorov-Arnold Network (KAN) that leverages combinations of popular mathematical functions such as B-splines, wavelets, and radial basis functions on low-dimensional data through element-wise operations. We ex
Externí odkaz:
http://arxiv.org/abs/2409.01763
Autor:
Hu, Desheng, Aziz, Muhammad Abu Bakar, Gleason, Jeffrey, Koeninger, Alice, Guggenberger, Nikolas, Robertson, Ronald E., Wilson, Christo
Is Google Search a monopoly with gatekeeping power? Regulators from the US, UK, and Europe have argued that it is based on the assumption that Google Search dominates the market for horizontal (a.k.a. "general") web search. Google disputes this, clai
Externí odkaz:
http://arxiv.org/abs/2407.11918
We analyze and implement the Local Analytic Sector Subtraction (LASS) scheme for handling infrared singularities in next-to-next-to-leading order (NNLO) calculations in perturbative QCD. We examine the key aspects of the scheme including sector funct
Externí odkaz:
http://arxiv.org/abs/2407.02195
We summarize our efforts to create a numerical implementation of the Local Analytical Subtraction Scheme (LASS) for obtaining NNLO QCD predictions in electron-positron collisions. We focus on the regularization of double-real radiation contributions,
Externí odkaz:
http://arxiv.org/abs/2407.02194
Autor:
Paul, Ovi, Nayem, Abu Bakar Siddik, Sarker, Anis, Ali, Amin Ahsan, Amin, M Ashraful, Rahman, AKM Mahbubur
Land Use Land Cover (LULC) analysis on satellite images using deep learning-based methods is significantly helpful in understanding the geography, socio-economic conditions, poverty levels, and urban sprawl in developing countries. Recent works invol
Externí odkaz:
http://arxiv.org/abs/2406.05912
We present LinApart, a routine designed for efficiently performing the univariate partial fraction decomposition of large symbolic expressions. Our method is based on an explicit closed formula for the decomposition of rational functions with fully f
Externí odkaz:
http://arxiv.org/abs/2405.20130