Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Faisal AH"'
Autor:
Mohammed Abdullah, Basheer Abdo, Faisal Ahmed, Khaled Alzanen, Nabile Albadani, Mohamed Badheeb
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Heart failure (HF) constitutes a substantial burden on healthcare systems worldwide, contributing to elevated rates of mortality and morbidity. Iron deficiency (ID), both with and without concurrent anemia, has been identified in up to half
Externí odkaz:
https://doaj.org/article/6a0462329d97477ebef63236c53cdf3e
Publikováno v:
Medicine & Health (Universiti Kebangsaan Malaysia). 2020, Vol. 15 Issue 2, p140-152. 13p.
Publikováno v:
Medicine & Health (Universiti Kebangsaan Malaysia). 2020, Vol. 15 Issue 2, p85-95. 11p.
Autor:
Abdulkareem Mohammed Matar, Faisal Ahmed Alshamiry, Ramzi Ahmed Amran, Riyadh Salah Aljumaah, Muneeb Musthafa, Todaro Massimo
Publikováno v:
Czech Journal of Animal Science, Vol 69, Iss 7, Pp 280-291 (2024)
Sheep milk production is a complex process that is influenced by various factors. This study aims to investigate how the litter size (single vs. twins), birth type (male vs. female), age of the ewes and body weight affect the milk composition and fat
Externí odkaz:
https://doaj.org/article/359ceeafafec4650837271d674963061
Autor:
Mengmeng Yang, Faisal Ahmed Khan, Hua Fang, Elígio de Raús Maúre, Joji Ishizaka, Dong Liu, Shengqiang Wang
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The spatiotemporal variability of chlorophyll-a (Chl-a) in the Arabian Sea (AS) and Persian Gulf (PG) has been widely studied, but long-term trends and influencing factors remain less understood due to data gaps. This study investigates Chl-a variabi
Externí odkaz:
https://doaj.org/article/ce388b2b4f554b36b4778a22799c7c57
Autor:
Faisal Ahmed Sifat, Md Sahadul Hasan Arian, Saif Ahmed, Taseef Hasan Farook, Nabeel Mohammed, James Dudley
Publikováno v:
Applied AI Letters, Vol 5, Iss 4, Pp n/a-n/a (2024)
ABSTRACT To create and validate a transformer‐based deep neural network architecture for classifying 3D scans of teeth for computer‐assisted manufacturing and dental prosthetic rehabilitation surpassing previously reported validation accuracies o
Externí odkaz:
https://doaj.org/article/685467aed7bd483dade483f0403f96ba
Autor:
Mokibul Hassan Afrad, Md. Taufiqul Islam, Yasmin Ara Begum, Md. Saifullah, Faisal Ahmmed, Zahid Hasan Khan, Zakir Hossain Habib, Ahmed Nawsher Alam, Tahmina Shirin, Taufiqur Rahman Bhuiyan, Edward T. Ryan, Ashraful Islam Khan, Firdausi Qadri
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 12 (2024)
ABSTRACT The objective of this study was to assess the prevalence, antimicrobial resistance patterns, and risk factors linked to Shigella infections through a nationwide hospital-based diarrheal disease surveillance in Bangladesh. From May 2014 to Ma
Externí odkaz:
https://doaj.org/article/de5f68e1e72b49eeb5097a4685d6aa13
Autor:
Nazish Badar, Muhammad Salman, Nadia Nisar, Hamza Ahmed Mirza, Abdul Ahad, Faisal Ahmad, Bisma Daud
Publikováno v:
Journal of Infection and Public Health, Vol 17, Iss 12, Pp 102595- (2024)
Background: The coronavirus pandemic has substantially influenced the transmission pattern of other respiratory viruses. However, screening and detecting other respiratory pathogens was unheeded during this time to combat the COVID-19 pandemic. High
Externí odkaz:
https://doaj.org/article/30f8573ad123451492c7bf3bb991f641
Autor:
Ismaeel AlShoaibi, Basheer Abdo, Mohammed Abdullah, Khaled Alzanen, Mohammed Alhakamy, Mamoon Al-Namer, Abdulghani Al-Hagri, Morshed Salah, Afrah Salem, Mohammed Almogahed, Ibrahim Alnadhari, Faisal Ahmed
Publikováno v:
Archivio Italiano di Urologia e Andrologia (2024)
Objectives: Parkinson’s disease is the most common neurodegenerative disease. Combining levodopa with other drugs, including decarboxylase inhibitors (DCI) is its most effective treatment. Urinary tract infection (UTI) is the most common cause of h
Externí odkaz:
https://doaj.org/article/d777408683264c88b07cdfcd3608a17c
Autor:
Mehdi Shirazi, Zahra Jahanabadi, Faisal Ahmed, Davood Goodarzi, Alimohammad Keshtvarz Hesam Abadi, Mohammad Reza Askarpour, Sania Shirazi
Publikováno v:
Archivio Italiano di Urologia e Andrologia, Vol 96, Iss 3 (2024)
Purpose: To build, train, and assess the artificial neural network (ANN) system in estimating the residual valve rate after endoscopic valve ablation and compare the data obtained with conventional analysis. Methods: In a retrospective cross-sectiona
Externí odkaz:
https://doaj.org/article/5662740f571a4482b08b2213051558c1