Results 41 to 50 of about 4,786 (237)

The Effects of Arabic Gendered Language in Job Advertisements on Recruiters’ Evaluation of Job Applicants—A Hiring‐Simulation Experiment

European Journal of Social Psychology, EarlyView.
ABSTRACT This research investigated the impact of grammatically gendered language in Arabic job advertisements on recruiters’ evaluation of applicants’ job fit, wage allocation, and hireability. In a between‐participants hiring‐simulation experiment, Arabic‐speaking recruiters from local companies in Egypt (N = 181) evaluated either a woman or a man ...
Farida Soliman, Sabine Sczesny
wiley   +1 more source

Current Advancements of Probiotic Foods and Their Role in Sustainable Food Security

Food Bioengineering, EarlyView.
ABSTRACT Probiotic foods have evolved from traditional fermented products to scientifically validated functional foods, defined by the FAO and WHO as live microorganism that confer a health benefit on the host when administered in adequate amounts, with effects being strain, does and end point specific.
Ashenafi Teklay Yaekob, Gebremedhin Gebreslassie, Etsay Mesele, Tesfakiros Semere   +3 more
wiley   +1 more source

Enhanced automated text categorization via Aquila optimizer with deep learning for Arabic news articles

Ain Shams Engineering Journal
Text Classification is the traditional Natural Language Processing (NLP) task. Text classification (also known as categorization) has become a cutting-edge research area in recent years. However, this task has received less attention in Arabic due to the
Muhammad Swaileh A. Alzaidi, Alya Alshammari, Abdulkhaleq QA Hassan, Shouki A. Ebad, Hanan Al Sultan, Mohammed A. Alliheedi, Ali Abdulaziz Aljubailan, Khadija Abdullah Alzahrani   +7 more
doaj   +1 more source

Arabic News Articles Classification Using Vectorized-Cosine Based on Seed Documents [PDF]

Journal of Advances in Computer Engineering and Technology, 2019
Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process.
Mohamed Elhadi
doaj  

National and Subnational Models of Care That Support Primary Health Care: A Mixed‐Methods Study

The International Journal of Health Planning and Management, EarlyView.
ABSTRACT In 2020, the World Health Assembly called on countries to reorient their models of care (MOCs) toward primary health care (PHC). This study's objectives were to (a) describe common use of the concept of MOC; and (b) identify implemented MOCs and their components that support PHC at national and subnational levels. A scoping review charted data
Mary Louisa Plummer, Nuria Toro Polanco, Faraz Khalid, Fidan Talishinskaya, Hassan Salah, Teri Reynolds   +5 more
wiley   +1 more source

A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions

IEEE Access, 2019
The recognition of text in natural scene images is a practical yet challenging task due to the large variations in backgrounds, textures, fonts, and illumination.
Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Bte Yusof   +3 more
doaj   +1 more source

CSR disclosure and investment efficiency in MENA countries: The moderating role of CSR committee

Strategic Change, EarlyView.
ABSTRACT Corporate social responsibility disclosure (CSRD) is often recognized as a transparency mechanism that allows companies to communicate their commitment to CSR. However, CSRD may also exacerbate agency conflicts. This study addresses these two contrasting perspectives by investigating the impact of CSRD on investment efficiency and exploring ...
Mohamed Malek Belhoula, Imen Khanchel, Naima Lassoued, Rouba Jebri   +3 more
wiley   +1 more source

Hierarchical Arabic text classification: deep learning-based approach

Annals of the West University of Timisoara: Mathematics and Computer Science
Text classification is the task of assigning textual data to predefined categories, playing a crucial role in natural language processing. In recent years, deep learning models have demonstrated superior performance over traditional machine learning ...
Bouchiha Djelloul, Hamzaoui Benamar, Bouziane Abdelghani, Doumi Noureddine, Berbouchi Farouk Omar, Kebir Aymen Abdelghani, Mebarki Nihad, Benameur Badiâ Achouak   +7 more
doaj   +1 more source

HMATC: Hierarchical multi-label Arabic text classification model using machine learning

Egyptian Informatics Journal, 2021
Multi-label classification assigns multiple labels to each document concurrently. Many real-world classification problems tend to employ high-dimensional label spaces, which can be naturally structured in a hierarchy.
Nawal Aljedani, Reem Alotaibi, Mounira Taileb   +2 more
doaj   +1 more source

Why Active Representation Varies: Cultural Stereotypes and Differential Treatment by Street‐Level Bureaucrats

Public Administration and Development, EarlyView.
ABSTRACT How do cultural stereotypes influence the likelihood that minority street‐level bureaucrats (SLBs) will actively represent marginalized subgroups within their ethnocultural community? While existing scholarship on representative bureaucracy has focused on the conditions under which minority SLBs engage in active representation, this study ...
Sohad Amaria, Einat Lavee, Nissim Cohen
wiley   +1 more source