Zobrazeno 1 - 10
of 4 674
pro vyhledávání: '"Kenawy, A."'
There has been considerable effort to simulate quantum gravity features in solid state systems, such as analog black holes or wormholes. However, superconducting circuits have so far received only limited attention in this regard. Moreover, for quant
Externí odkaz:
http://arxiv.org/abs/2406.01261
Publikováno v:
BMC Microbiology, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Enterohemorrhagic Escherichia coli (EHEC) O157 is implicated in serious food and water-borne diseases as hemorrhagic colitis (HC), and the potentially fatal hemolytic uremic syndrome (HUS). However, new players of non-O157 EHEC ha
Externí odkaz:
https://doaj.org/article/a2fc2ffa27164cf49d769a2796b312cb
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The optical, photoluminescence, and electrical properties of Poly(Z)-PTI and Poly(E)-PTI, two Poly-Pyrrol-Thiazol-Imine polymers with comparable chemical structures but distinct configurations, were examined. Using the dip-casting method, po
Externí odkaz:
https://doaj.org/article/6857314bf91e4db284cf5bb2607c74ba
Autor:
Sekar Kidambi Raju, Saravanan Natesan, Amal H. Alharbi, Subhash Kannan, Doaa Sami Khafaga, Muthusamy Periyasamy, Marwa M. Eid, El-Sayed M. El-kenawy
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract The research objective in the context of the study relates to the major concern of corrosion affecting the wind turbines in operation to find materials with high durability in relation to environmental conditions of operation, strength, and
Externí odkaz:
https://doaj.org/article/db539948e4f4464295012bc0c5fb1596
Autor:
El-Sayed M. El-kenawy, Amel Ali Alhussan, Doaa Sami Khafaga, Marwa M. Eid, Abdelaziz A. Abdelhamid
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The classification of chronic diseases has been a prominent research focus in public health, extensively leveraging machine learning algorithms. One of these chronic diseases that has significant rates of occurrence all around the world is d
Externí odkaz:
https://doaj.org/article/9142fe721e504717951c1843174acc5b
Autor:
Sergio M. Vicente-Serrano, Santiago Beguería, Miquel Tomas-Burguera, Luis Gimeno, Raquel Nieto, Luis Gimeno-Sotelo, Ahmed El Kenawy
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-8 (2024)
Abstract Drought is one of the most damaging hydroclimatic hazards, impacting environmental systems and socioeconomic sectors. Therefore, understanding the physical mechanisms that cause drought events is of critical importance. Here we investigate t
Externí odkaz:
https://doaj.org/article/c062950d0fe5407c86e9e05f2b556209
Publikováno v:
Cancer Nanotechnology, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Background Cancer, a leading cause of mortality worldwide, continues to pose significant challenges in treatment and management. Conventional therapies often face limitations, including lack of selectivity, adverse effects, and the developme
Externí odkaz:
https://doaj.org/article/07d5051287584acf9d04e145f49c1cc1
Autor:
Omar Hamarsheh, Souad Guernaoui, Mehmet Karakus, Mohammad Reza Yaghoobi-Ershadi, Andreas Kruger, Ahmad Amro, Mohamed Amin Kenawy, Mostafa Ramadhan Dokhan, Douglas A. Shoue, Mary Ann McDowell
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-9 (2024)
Abstract Background Phlebotomus papatasi is considered the primary vector of Leishmania major parasites that cause zoonotic cutaneous leishmaniasis (ZCL) in the Middle East and North Africa. Phlebotomus papatasi populations have been studied extensiv
Externí odkaz:
https://doaj.org/article/e3bbe7ab34a84ee7aa5a319ad07afe53
Publikováno v:
Phys. Rev. B 109, 245423 (2024)
The control of any type of quantum hardware invariably necessitates time-dependent driving. If the basis depends on the control parameter, the presence of a time-dependent control field yields an extra term in the Schr\"odinger equation that is often
Externí odkaz:
http://arxiv.org/abs/2306.09440
Autor:
Moussa Belletreche, Nadjem Bailek, Mostafa Abotaleb, Kada Bouchouicha, Bilel Zerouali, Mawloud Guermoui, Alban Kuriqi, Amal H. Alharbi, Doaa Sami Khafaga, Mohamed EL-Shimy, El-Sayed M. El-kenawy
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This study introduces an optimized hybrid deep learning approach that leverages meteorological data to improve short-term wind energy forecasting in desert regions. Over a year, various machine learning and deep learning models have been tes
Externí odkaz:
https://doaj.org/article/7fa2f36a9d6f40df86087ed17e1dd392