Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Yehia MA"'
Autor:
El Tallawy HN, Farghaly WM, Badry R, Hamdy NA, Shehata GA, Rageh TA, Metwally NA, Hassan EM, Elsayed SS, Yehia MA, Soliman WT
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol 2015, Iss default, Pp 2177-2183 (2015)
Hamdy N El Tallawy,1 Wafaa M Farghaly,1 Reda Badry,1 Nermin A Hamdy,2 Ghaydaa A Shehata,1 Tarek A Rageh,1 Nabil A Metwally,3 Enas M Hassan,2 Sayed S Elsayed,2 Mohamed A Yehia,2 Wael T Soliman2 1Department of Neurology and Psychiatry, Assiut Universit
Externí odkaz:
https://doaj.org/article/d5910a9b459f4941b37592e10173b8bb
Autor:
Yehia Manawi, Rashad Al-Gaashani, Simjo Simson, Yongfeng Tong, Jenny Lawler, Viktor Kochkodan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract A novel biochar (BC) from Acacia tortilis trees pruning waste was synthesized and tested for the removal of phosphate from aqueous solutions. The BC was prepared by calcination at 600 °C and doped with Fe3O4 and MgO by hydrothermal process.
Externí odkaz:
https://doaj.org/article/5757f65413424a09b40591819ae620a0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The present work’s objective is to give a comprehensive overview of the quality of groundwater in Qatar in terms of heavy metals content as well as investigating the cause and effect of the elevation in their levels above the WHO/US-EPA st
Externí odkaz:
https://doaj.org/article/abe773fb4e0545529a9bf54a219faff9
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study presents a novel method leveraging surface wave-assisted photonic spin Hall effect (PSHE) to construct physical unclonable functions (PUFs). PUFs exploit inherent physical variations to generate unique Challenge–Response pairs,
Externí odkaz:
https://doaj.org/article/a66c01a122f4470cb60cda3e035ddda8
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract This work presents a dielectric material-based optical Tamm state (OTS) excitation technique with modified dispersion characteristics for photonic spin hall effect (PSHE) enhancement. The dispersion analysis of the structure is carried out t
Externí odkaz:
https://doaj.org/article/8fb6cf7bfd77438f95dca6540d54fc6f
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 81-91 (2024)
During snowfall, the utility of the road infrastructure is critical. Roads must be effectively cleared to ensure access to important locations and services. In this paper, we present an end-to-end framework for snow removal vehicle routing based on r
Externí odkaz:
https://doaj.org/article/e97d9e3e149648f9ae0c66ec797da231
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102108- (2024)
Triboelectric Nanogenerators (TENGs), renowned for converting mechanical energy into electrical energy, have evolved significantly since their inception. This paper focuses on enhancing TENG performance, specifically in the contact-separation (CSM) m
Externí odkaz:
https://doaj.org/article/60ed0f0edfea42a6a4aaf2aca07f1098
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract In this manuscript, a heterostructure-based topological nanophotonic structure is proposed for improved sensing performance. The topological effect is realized by connecting two dissimilar one-dimensional photonic crystal structures having o
Externí odkaz:
https://doaj.org/article/dd2b6118458a43309cbc4f6533f17444
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract This manuscript presents a dielectric resonator structure with altered dispersion characteristics to enhance the photonic spin Hall effect (PSHE). The structural parameters are optimized to enhance the PSHE at 632.8 nm operating wavelength.
Externí odkaz:
https://doaj.org/article/1718da51cb2e4d9bb06dc0414efbe8b0
Autor:
Sadia Noureen, Iqrar Hussain Syed, Sumbel Ijaz, Alaa Awad Abdellatif, Humberto Cabrera, Muhammad Zubair, Yehia Massoud, Muhammad Qasim Mehmood
Publikováno v:
Applied Surface Science Advances, Vol 18, Iss , Pp 100503- (2023)
This paper presents two tandemly stacked forward and inverse deep neural networks to model and optimize cylindrical shaped transmissive meta-atoms for UV–Vis regime. Conventional modeling of these subwavelength meta-atoms calls for repetitive solut
Externí odkaz:
https://doaj.org/article/24a920d243a54858bc54d11b88224349