Reliability generalization meta-analysis of the internal consistency of the Big Five Inventory (BFI) by comparing BFI (44 items) and BFI-2 (60 items) versions controlling for age, sex, language factors.

Introduction: The Big Five Inventory (BFI) is a popular measure that evaluates personality on the Big-Five model. Apart from its utilization across cultures, the literature did not reveal any meta-analysis for the reliability of the different versions of the BFI and its translations. The current study carried out a reliability generalization meta-analysis (REGEMA) to establish the reliability of the BFI across cultures and languages.

Azotobacter biodiversity in Egypt using microbiological, biochemical, and molecular-biology multidisciplinary approach.

The presence of Azotobacter bacteria in the soil plays an important role in increasing its fertility and enhancing plant health. Azotobacter diversity depends on several environmental factors, particularly soil texture, pH, and nutrient content. The current study investigated the diversity of Azotobacter in various soil samples collected from 10 different governorates along the river Nile valley and its delta, Northern Mediterranean shore, Sinai, and Upper Egypt regions.

The Impact of MRI-Defined Extent of Resection Across Meningioma DNA Methylation Groups: Re-Evaluating Surgery in the Era of Meningioma Molecular Classification.

Background And Objectives: Extent of resection (EOR) is prognostic for meningioma outcomes. DNA methylation profiling can shed light on biological drivers and therapeutic vulnerabilities. The goal of this study was to re-evaluate the impact of EOR on clinical outcomes across meningioma DNA methylation groups.

Dengue fever in Yemen: a five-year review, 2020-2024.

Background: Dengue fever (DF) is a mosquito-borne viral infection that has recently become a burden worldwide, particularly in low-income countries, such as Yemen. There have been no epidemiological studies on DF in recent years in Yemen. Therefore, based on secondary data, this study aimed to shed light on the epidemiology of DF in Yemen between 2020 and 2024.