Muhammad Zulqarnain

Engineering Soybean Matrix Structure: The Regulatory Role of Carbohydrate Architecture in Protein Assembly, Nutrient Fate, and Bioaccessibility

Sanusi Shamsudeen Nassarawa, Lu Meng, Mustapha Muhammad Nasiru, Yangdang Zhang et autres

hu, cn, Nigéria, in (code pays fourni par la source)

Understanding milk microbiome to enhance safer and more nutritional products in the dairy industry: A review

Muhammad Zulqarnain, Zain Ul Abedien, Birhanu Yeserah Adam, Mustansar Abbas et autres

Milk and dairy products are essential food globally, due to their rich nutritional content. The nutritional quality of milk provides an excellent medium for microbial growth. While beneficial microbes can enhance nutritional quality, spoilage and pathogenic bacteria pose significant risks. Extended shelf …

cn, au (code pays fourni par la source)

Brain Tumor Detection from MRI Images Based on Deep Learning and Machine Learning Approaches

Ahmed Khalaf Zager Alsaedi, Muhammad Zulqarnain

Significant progress in artificial intelligence and medical imaging has dramatically enhanced disease analysis and prediction, particularly for brain tumor identification. Magnetic Resonance Imaging (MRI) is the primary method for detecting brain tumors. Modern imaging modalities now enable comprehensive 3D brain scans, providing …

iq, pk (code pays fourni par la source)

Temperature dependent plasmonic mode in chiroplasma–indium antimonide structure

M. Shaban, Sameerah I. Al-Saeedi, A. M. Elbasiony, Muhammad Zulqarnain et autres

sa, in, jp (code pays fourni par la source)

Explainable artificial intelligence for early Alzheimer’s diagnosis using enhanced grey relational features and multimodal data

Wusat Ullah, Qun Dai, Muhammad Zulqarnain, Mohamed Abubakar Fiidow

Alzheimer's disease, a progressive neurodegenerative disorder, presents a growing global health challenge due to its increasing prevalence and lack of accessible early diagnostic methods. Even though it has enhanced the diagnostic accuracy of machine learning, there is a major concern about striking …

cn, in, Somalie (code pays fourni par la source)

Analytical study of fundamental oscillation frequencies around black holes in nonlocal gravity

Muhammad Zulqarnain, Phongpichit Channuie, Bouzenada Abdelmalek, Asifa Ashraf et autres

Abstract In this study, we investigate the dynamics of test particles in the spacetime of a static, spherically symmetric black hole (BH) illustrated within nonlocal gravity models. After presenting the BH geometries and horizon structures, we examine the motion of particles by …

cn, th, Algérie, us, uz (code pays fourni par la source)

Federated Learning for Thoracic Disease Classification Using Convolutional Neural Networks and Differential Privacy

Muhammad Zulqarnain, Syed Jawad Hussain, Muhammad Zeeshan Aslam, Ahsan Fiaz et autres

ABSTRACT Early diagnosis of thoracic diseases using chest x‐ray imaging remains a critical challenge, particularly in resource‐constrained healthcare environments where data sharing is restricted due to privacy concerns. Federated learning (FL) offers a decentralized solution by enabling collaborative model training without sharing …

pk, au (code pays fourni par la source)

The relationship between mental health and athletes' readiness after ACL injuries among football players

Faten Nuryasmin, Muhammad Amrun Haziq Abidin, Aizzat Adnan, Adam Linoby et autres

This study investigates the mental health status of 35 professional and collegiate football athletes, aged 18–30, during ACL rehabilitation to determine how psychological symptoms relate to their readiness to return to competition. By analyzing levels of depression, anxiety, and stress alongside ACL-RSI …

my (code pays fourni par la source)

The relationship between leadership styles of tennis coaches in Kuala Lumpur City towards the goal focused coaching skills

Muhamad Danial Haqim Rosli, Aizzat Adnan, Adam Linoby, Muhammad Amrun Haziq Abidin et autres

This quantitative study examines the influence of leadership styles on goal-focused coaching skills among 157 randomly selected tennis coaches in Kuala Lumpur. Utilizing a non-experimental survey design and analyzed via Jamovi 2.6, the research identifies culturally relevant leadership dimensions and assesses their …

my (code pays fourni par la source)

Impact of parental support towards motivation of young footballers in Jerantut Pahang

Siti Nur Aisyah Mohd Asri, Adam Linoby, Aizzat Adnan, Muhammad Amrun Haziq Abidin et autres

This study examines the influence of parental support on the motivational orientations of 379 youth footballers in Jerantut, Pahang, utilizing Self-Determination Theory (SDT) and Achievement Goal Theory (AGT). Through a quantitative cross-sectional design, researchers utilized the Parental Involvement in Sport Questionnaire (PISQ) …

my (code pays fourni par la source)

HIGH SEROPREVALENCE OF BLOODBORNE HEPATITIS IN DIALYSIS UNITS: A STUDY OF HBV/HCV BURDEN AND RISK FACTORS AMONG HEMODIALYSIS PATIENTS IN RAWALPINDI, PAKISTAN

Meh Jabeen, Suffian Hadi Ayub, Muhammad Zulqarnain, Safdar Ali et autres

Background: Hemodialysis (HD) patients are highly vulnerable to hepatitis B virus (HBV) and hepatitis C virus (HCV) infections due to repeated vascular access, blood transfusions, and extended healthcare exposure. While global initiatives have aimed to reduce these infections, prevalence remains disproportionately high …

pk (code pays fourni par la source)

An Optimized Hybrid Deep Learning Approach for Accurate Fruit Image Classification

Hasanain H. Razzaq, Laith F. M. H. Al-Rammahi, Asraa Mounaf Almousawy, Muhammad Zulqarnain

The field of fruit classification in computer and machine vision is growing rapidly. However, numerous deep learning approaches have been introduced for image classification, but they often encounter challenges that must be addressed. The effectiveness of the classification system relies on several …

iq, pk (code pays fourni par la source)