Beykent University

Machine Learning-Based Sex Classification Using Linear Dimensions of the Talocrural Joint

Background: Pelvic and cranial markers are often fragmented in mass disasters. The resilient talocrural joint serves as a valuable secondary site. This study presents a novel 12-landmark configuration on conventional 2D AP ankle radiographs as a rapid, cost-effective auxiliary se...

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...

Sex-Specific Correlates of Emotional Eating Among Arab Migrants

Acculturative stress, arising from cultural and psychological changes following intercultural contact, may increase vulnerability to maladaptive coping behaviors, including emotional eating. Evidence suggests that the association between acculturative stress and disordered eating...

Multi-Backbone U-Net segmentation and interpretable hybrid deep learning classification for lung cancer detection in chest CT images

Lung cancer remains the leading cause of cancer-related mortality worldwide, and its early and accurate diagnosis from chest CT imaging is complicated by overlapping radiological features between benign and malignant lesions, as well as by the limited cross-institution validation...

Development and Validation of a Scale to Measure Blockchain Awareness and Financial Confidence in the Turkish Financial Sector

This paper seeks to develop an empirically tested theoretical model that measures the block chain related awareness, confidence, and perceived relevance regarding finances among employees in the Turkish financial services sector. From the existing literature on blockchain adoptio...

Sustainability in the Skies: A Tri-Dimensional Performance Evaluation of Global Airlines with Hybrid MCDM Methods

This study proposes a hybrid multi-criteria decision-making (MCDM) framework that combines entropy and TOPSIS to evaluate the corporate sustainability performance of ten global airlines, utilising 22 GRI-based economic, environmental, and social criteria. Using 2020 data, the ana...