Results 91 to 100 of about 748,957 (288)

Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade

Agribusiness, EarlyView.
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci, Md Deluair Hossen, Andrew Muhammad, Seong‐Hoon Cho   +3 more
wiley   +1 more source

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

Journal 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, Dhafar YO, Aljarallah SA, Alqahtani MS, Alamri FA, Aljohani AO, Alanazi MD, Arbaein TJ, Zaidan AM, Aljuaid M, Goniewicz K   +10 more
doaj  

Saudi Arabia women teachers' psychological capital towards work engagement / Aljaghthami Eman-Nafa, Noormala Amir Ishak [PDF]

, 2016
Education in Saudi Arabia is ranked at number 84 in the Global Competitiveness Report 2016 -2017. In Saudi Arabia, most female teachers work in segregated public or private schools for female students. Through past research, it was reported that in Saudi
Aljaghthami, Eman-Nafa, Amir Ishak, Noormala   +1 more
core  

Price Transmission and Leadership in the Global Poultry Market: Results From Parametric and Nonparametric Approaches

Agribusiness, EarlyView.
ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb, Shaikh M. Rahman, Syed Imran Ali Meerza   +2 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]

Journal 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, Almaghaslah D, Almanasef M, Almeleebia TM, Orayj K, Siddiqua A, Shorog E, Alshahrani AM, Prabahar K, Veeramani VP, Amirthalingam P, Alqifari S, Alshahrani N, AlSaedi AH, A Alsaab A, Aljohani F, Begum MY, Atiya A   +17 more
doaj  

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced 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

Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets [PDF]

Upon examining own volatility dependency for the three major sectors, namely Service, Industrial and Banking, in four GCC economies (Kuwait, Qatar, Saudi Arabia and UAE), the empirical findings suggest that Banking seems to be the least sensitive among ...
Hammoudeh, S.M., McAleer, M.J., Yuan, Y.
core   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Berbagai Faktor yang Berpengaruh terhadap Kejadian Rawat Inap Jemaah Diabetes Melitus di Arab Saudi (Studi Kasus Kontrol di Embarkasi Adisumarmo) [PDF]

, 2017
Background : Given the magnitude of high-risk DM throughout Hajj embarkation and pilgrims hospitalization in Saudi Arabia, we need for prevention and control of DM pilgrims hospitalization case in Saudi Arabia.
Hadisaputro, S. (Suharyo), Lukmono, D. T. (Djoko), Nugroho, R. W. (Rakhamanto), Samekto, W. (Widiastuti), Sugiri, S. (Sugiri)   +4 more
core  

An Intelligent Feature Engineering‐Driven Hybrid Framework for Adversarial Domain Name System Tunneling Detection

Advanced Intelligent Systems, EarlyView.
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor, Shtwai Alsubai, Monji Mohamed Zaidi, Natalia Kryvinska, Abdullah Al Hejaili, Sidra Abbas   +5 more
wiley   +1 more source