Yaşar University

Energy Efficiency and Environmental Performance of Retractable Roof Systems: A Bibliometric Analysis and Systematic Review

Retractable roofs are advanced technological systems that provide spatial flexibility by extending or retracting as needed, while enhancing the user experience in a variety of structures, including stadiums, sports arenas, theaters, and large event venues. Existing studies primar...

Climate responsive interior design for sustainable development a bibliometric and scoping review

Abstract Within the framework of urban sustainability at the architectural scale, climate-responsive and sustainable interior design has become increasingly pivotal. While existing research addresses indoor environmental quality (IEQ) through parameters such as thermal, visual, a...

The material-affective politics of space: clock towers in Menemen, Turkey

This article examines the recent proliferation of clock towers in Menemen, Turkey, situating them within broader conservative and populist efforts to reshape urban space through references to Ottoman-Islamic heritage under the Justice and Development Party (JDP) rule. Erected as...

Improving Meteorological Drought Forecasting Through a CPO ‐Tuned VMD ‐Liquid Neural Network

ABSTRACT This paper introduces a novel hybrid model for one‐month‐ahead meteorological drought forecasting. The proposed approach employs the Crested Porcupine Optimizer (CPO) to adaptively tune the key parameters of Variational Mode Decomposition (VMD). This optimization step ef...

Changes in Cognitive Distortions and Psychological Distress Following an Undergraduate Cognitive Behavioral Therapy Course: Evidence from a Proof-of-Concept Study

Background Cognitive behavioral therapy (CBT) is incorporated into undergraduate psychology curricula; however, evidence regarding course-level learning outcomes remains limited. Objective This proof-of-concept study examined pretest-to-posttest changes in students’ cognitive dis...

Prediction of pediatric lower urinary tract dysfunction using uroflowmetry data and machine learning with explainable AI techniques

<title>Abstract</title> Purpose To develop and evaluate a machine learning based approach for the interpretation of uroflowmetry in pediatric lower urinary tract dysfunction, aiming to reduce interobserver variability and improve diagnostic consistency while maintaining clinical...

SmartMQ: Utility-Driven Semantic-Difference-Based Transmission Filtering for Message Queuing Telemetry Transport-Based Internet of Things Systems

Preprint. This is the authors' own version and has not been peer reviewed. The proliferation of Internet of Things (IoT) devices generates large volumes of sensor data, much of it adding little information beyond prior transmissions. This paper presents SmartMQ, a semantic-aware...