Results 61 to 70 of about 381,826 (299)

Import Wheat Tenders and the Effects of the Russian Invasion

open access: yesAgribusiness, EarlyView.
ABSTRACT Risk and volatility for many commodities escalated sharply following the Russian invasion of Ukraine, creating numerous uncertainties for trading firms and importers. The purpose of this study is to analyze the bidding behavior in Egyptian wheat import tenders in the pre‐ and post‐invasion periods.
William W. Wilson   +2 more
wiley   +1 more source

Treatment Patterns and Recommendations for Improving the Management of Hepatocellular Carcinoma in Saudi Arabia

open access: yesJournal of Hepatocellular Carcinoma
Ashwaq Alolyan,1 Kanan Alshammari,1 Mohammad Arabi,1 Ahmed Alshehri,2 Hamad Alsuhaibani,3 Fahad Ibnshamsah,4 Abdullah Alsharm,5 Mervat Mahrous,6,7 Adnan Al Zanbagi,8 Mazen Hassanain,9 Shouki Bazarbashi10 1Department of Medical Oncology, Ministry of ...
Alolyan A   +10 more
doaj  

Tuberculosis in Saudi Arabia: Can we change the way we deal with the disease?

open access: yesJournal of Infection and Public Health, 2010
Summary: Infection from Mycobacterium tuberculosis results in the death of three million people worldwide per annum of which an estimated one thousand are in Saudi Arabia.
Sahal Abdulaziz Al-Hajoj
doaj   +1 more source

Traceability of Agri‐Food Products: The Key to Conscious Trade

open access: yesAgribusiness, EarlyView.
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo   +5 more
wiley   +1 more source

Healthcare Providers’ Experience with Saudi Arabia’s 937 Virtual Medical Call Centers and Telehealth

open access: yesJournal of Multidisciplinary Healthcare
Ahmed M Al-Wathinani,1 Yahia O Dhafar,2 Salah A Aljarallah,3 Muqbil Saad Alqahtani,4 Fahad Abdullah Alamri,5 Awad O Aljohani,6 Majed D Alanazi,7 Turky J Arbaein,8 Amal M Zaidan,9 Mohammed Aljuaid,10 Krzysztof Goniewicz11 1Department of Emergency Medical ...
Al-Wathinani AM   +10 more
doaj  

opXRD: Open Experimental Powder X‐Ray Diffraction Database

open access: yesAdvanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek   +23 more
wiley   +1 more source

A Study of the Effect of Treatment on the Clinical Profile, Pain, and Disability in Migraine Patients Seen in a Tertiary Hospital [Response to Letter]

open access: yesJournal of Multidisciplinary Healthcare
Geetha Kandasamy,1 Dalia Almaghaslah,1 Mona Almanasef,1 Tahani Musleh Almeleebia,1 Khalid Orayj,1 Ayesha Siddiqua,1 Eman Shorog,1 Asma M Alshahrani,1 Kousalya Prabahar,2 Vinoth Prabhu Veeramani,2 Palanisamy Amirthalingam,2 Saleh Alqifari,2 Naif ...
Kandasamy G   +17 more
doaj  

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki   +3 more
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

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