İstanbul Gelişim Üniversitesi

Position-specific lower extremity performance and machine learning-based injury-risk screening classification in adult male basketball players: a random forest and SHAP approach

Basketball imposes high position-dependent neuromuscular demands that predispose athletes to lower extremity injuries. Machine learning offers the potential to identify multivariable risk-screening patterns that single-threshold approaches miss. This study aimed to (1) compare po...

Mitigating operational costs for circular supply chain by leveraging big data analytics driven-dynamic capabilities: Insights and implications for the industry

The circular supply chain plays a critical role in minimizing operational costs and enhancing eco-efficiency by strategically aligning diverse organizational processes. To effectively generate these circular supply chains, it is vital to comprehend the dynamic capabilities shaped...

A numerical study on the thermal buffering of bricks integrated with cylindrical phase change material capsules

While phase change materials (PCMs) in bricks are known to improve thermal mass, the influence of capsule geometry in hot climates remains poorly understood. This study evaluates the thermal performance of thermally smart bricks (TSBs) integrated with cylindrical heptadecane caps...

Application of artificial neural networks for prediction modeling and analysis of the thermophysical properties of Fe₃O₄/water ferrofluid using experimental measurement

Abstract The use of nanofluids has attracted significant attention due to their improved thermal performance compared with conventional heat transfer fluids. Because nanoparticles are on the nanometer scale, problems such as channel blockage and severe abrasion can be reduced. Am...

Cone-Beam Computed Tomography-Based Anatomic Mapping of Maxillofacial Foramina: Development of a Novel Proportional Guide for Facial Aesthetic Procedures

OBJECTIVE: Anatomic safety and aesthetic harmony are of critical importance in facial aesthetics and surgical procedures. This study aims to evaluate whether the distance ratios among the supraorbital, infraorbital, and mental foramina conform to the golden ratio (φ=1.618). METHO...

A generalized artificial neural network (ANN) model for predicting construction project durations based on cost and geolocation data

Purpose Reliable construction project duration estimation remains a persistent challenge due to the complex interactions among project characteristics and the diversity of construction environments. While previous prediction models have frequently relied on project-specific varia...

Manipulative packaging in YouTube journalism: A quantitative content analysis in the Turkish context

This study examines the manipulative packaging patterns established between headlines, thumbnails, and video content in YouTube journalism, using Türkiye as an example. The research applies quantitative content analysis to 270 videos published on nine news channels between Decemb...

Understanding International Botanical Tourists’ Travel Motivations: The Role of Plant Diversity and Landscape Attributes in Turkey

Botanical tourism is a growing niche within nature-based travel, yet little is known about tourists who travel specifically to observe plants in their natural habitats. This study addresses this gap by examining the travel motivations of international botanical tourists visiting...

Precipitation-Driven Land Cover Dynamics in Türkiye: A Multi-Dataset Assessment Using CHIRPS, TerraClimate, and TRMM

This study investigates the spatiotemporal dynamics of Land Use/Land Cover (LULC) along precipitation gradients across Türkiye by integrating high-resolution satellite-based precipitation datasets (CHIRPS, TerraClimate, and TRMM) with the European Space Agency (ESA) WorldCover (1...

Beyond Traditional Continuous Performance Tests: The Incremental Diagnostic Value of Distractor-Embedded Paradigms

Objective Distractor-embedded continuous performance test (CPT) paradigms have been developed to enhance the ecological validity and diagnostic precision of attention-deficit/hyperactivity disorder (ADHD) assessment. This study aimed to quantitatively synthesize the diagnostic pe...

Evaluating the psychosocial benefits of mindfulness-based art therapy for breast cancer patients: a preliminary study

Abstract This preliminary study evaluates the psychosocial benefits of mindfulness-based art therapy (MAT) for breast cancer patients. A quasi-experimental design was used with 14 participants in the experimental group and 15 in the control group. The experimental group attended...

The use of artificial intelligence (AI) in tourism employment: employees’ perceptions and business strategies

Purpose The study aims to focus on the challenges that artificial intelligence (AI) brings to career decisions among tourism employees, while on the other hand, it focuses on how tourism employees’ AI risk perceptions affect their career decisions. In addition, another aim of the...

Can Artificial Intelligence Reliably Detect Risky Eating Narratives? A Comparative Analysis of YouTube Extreme Diet Videos

Aim: This descriptive study was conducted to identify characteristics that are related to binge eating in YouTube videos that have been shared with the keywords “extreme diet” and “diet challenge” and to compare classifications made by expert dietitians with those generated by an...

Deep Learning and CAD Systems in Breast Cancer Detection A Systematic Review of Diagnostic Accuracy and Clinical Integration

Breast cancer continues to be a significant health challenge for women worldwide, and early detection is essential for improving survival outcomes. Over the years, Computer-Aided Diagnosis (CAD) systems have supported radiologists by highlighting suspicious regions in mammograms,...

An Interdisciplinary Approach to Long-Term Care: Artificial Intelligence Applications for Monitoring Nutritional Status and Social Well-Being

The global rise in the older adult population brings complex, interrelated biopsychosocial challenges, including nutritional inadequacies, sarcopenia, social isolation, and sleep disturbances. Dealing with these interconnected issues in institutional care settings is increasingly...

Evaluation of Artificial Intelligence-Based Early Intervention and Education Applications

Aim: This study was conducted to evaluate artificial intelligence (AI)-based early intervention and educational applications developed for children from the perspective of Child Development experts, in line with the parameters of the target population, area of use, technological...