Volume 34 Issue 4

Published: 2025-10-01

Contents


Article
Determination of Factors Affecting the Isolation of Candida Species Among Diabetic Patients with Oral Candidiasis in Duhok Governorate, Iraq

Narmin H. B. Sultan, Asia A. M. Saadullah

Oral candidiasis, a fungal infection primarily caused by Candida albicans, poses a significant health risk for diabetics due to their weakened immune systems and altered oral environments. The...

DOI: 10.33899/jes.v34i4.49244

Pages: 1-13
Antimicrobial Activity of Cladophora Glomerata and Chara Vulgaris Against Pathogenic Bacteria and Fungi

Chiyai Maaroof Sharif

There are several significant secondary metabolites found in freshwater macroalgae, which remain an unexplored source of therapeutic substances. The present study investigated the antimicrobial...

DOI: 10.33899/jes.v34i4.49248

Pages: 14-23
Exploring the Distribution of Microplastics and Heavy Metals in Agricultural Soils and the Evaluation of Risk Indices in Erbil City

Sayran Y. Jalal

Microplastics (MPs) and heavy metals (HMs) are emerging contaminants that pose potential risks to both environmental and human health. This investigation aims to evaluate the concentration,...

DOI: 10.33899/jes.v34i4.49251

Pages: 24-35
Model Selection for the Mean Function of Kriging Models

Najlaa Sadeek Yahya, Younus Y. Al-Taweel, Luma Ahmad Khaleel

Kriging models are used in many scientific disciplines to investigate the behavior of physical systems. In the Kriging model (KM), the response of the computer simulation code (CSC) is...

DOI: 10.33899/jes.v34i4.49253

Pages: 36-44
Enhancing IoT Security: A Machine Learning-Based Intrusion Detection System for Real-Time Threat Detection and Mitigation

Ammar Adel Ahmed

Rapid growth in usage of Internet of Things (IoT) devices has created a situation where security is highly vulnerable, and people require more sophisticated and evolving solutions. Conventional...

DOI: 10.33899/jes.v34i4.49257

Pages: 45-61
Predicting Arrest Release Outcomes: A Comparative Analysis of Machine Learning Models

O. P. Adebayo , Ahmed Ibrahim, K.T. Oyeleke

This comparative study evaluates machine learning models for predicting arrest release outcomes using 5,226 marijuana possession cases from the Toronto Police Service (1997-2002). The dataset...

DOI: 10.33899/jes.v34i4.49670

Pages: 62-73
Deep Learning-Based Structural Health Monitoring: A Multi-Scale Neural Network Approach for Real-Time Damage Detection in Composite Materials

Ali Khalid Younis Al-Taie

For the structural health monitoring of composite materials, data analysis technology must be very sophisticated, capable of detecting fault patterns that are multi-level and complicated. A...

DOI: 10.33899/jes.v34i4.49256

Pages: 74-85
Impact of Phytogenic Feed Additives on Growth Performance, Antioxidant Defense, and Serum Biochemical Indices in Cirrhinus mrigala

Muhammad Owais, B. N. Ali, Hafiza Aqsa Azam, B. S. A. Al Sulivany, M. Naeem, E. Zahra, N. Ishtiaq, A. Hassan

This study investigated the effects of dietary supplementation with Moringa oleifera, Allium sativum, Zingiber officinale, and Curcuma longa powders (each at...

DOI: 10.33899/jes.v34i4.49671

Pages: 86-96
Review Articles
Coxsackie Virus and its Effect on Human Health: A review

Manar Fawzi Altaie, Elaph Madallah Shuwaikh AL-Qaisi , Anmar Ahmed Altaie

In low- and middle-income countries, coxsackievirus infections constitute a serious public health concern, especially for young children and newborns. Many human ailments, such as hand, foot,...

DOI: 10.33899/jes.v34i4.49252

Pages: 97-104
The Influence of Ambient Temperature and Rainfall on Foodborne Infections Caused by Vibrio, Campylobacter, and Pathogenic Escherichia coli: A Review

Zakariya Nafi Shehab, Safwa Waleed Ahmed, Raghad N. Altaee

Foodborne bacterial infections caused by Vibrio species, Campylobacter species, and pathogenic Escherichia coli (STEC/EHEC) pose significant public health risks...

DOI: 10.33899/jes.v34i4.49247

Pages: 105-115