Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://gcris.yasar.edu.tr/handle/123456789/11290
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Article Postgraduate Student Mental Health: A Systematic Literature Review of Wellbeing Themes and Proposed Solutions(Inderscience Publishers, 2026) Nur Ayıboğan, Ayşe; Koç, Hasan; Hynes, JenniferConference Object Wireless EMG Device for Hand Movement Classification Using RTPNNs(Springer Science and Business Media Deutschland GmbH, 2025) Ozalp, Hasan; Bakircioglu, Kaan; Yıldız, Osman; Secmen, MustafaEditorial Warehousing 5.0 for the Future of the Logistics Industry(Taylor & Francis Ltd, 2026) Sgarbossa, Fabio; Grosse, Eric H.; Venkatadri, Uday; Ekren, Banu Y.This editorial introduces and contextualises the International Journal of Production Research Special Issue on 'Warehousing 5.0 for the Future of the Logistics Industry'. Building on the principles of Industry 5.0, the concept of Warehousing 5.0 redefines warehouse operations as human-centric, intelligent, sustainable, and resilient systems. It emphasises the integration of advanced automation and analytics with human well-being, environmental stewardship, and data responsibility - shifting the focus from efficiency alone to a balanced socio-technical paradigm. The Special Issue received 45 submissions, from which 12 papers were accepted after rigorous peer review. Together, these studies advance understanding across four interconnected themes: (T1) Human Factors and Human-Centric Design, (T2) Optimisation and Efficiency in Robotics and Automation, (T3) Energy Efficiency and Sustainable Operations, and (T4) Data-Driven and AI-Enabled Warehousing. The contributions highlight innovations in ergonomic design, collaborative robotics, energy-aware scheduling, stochastic and multi-objective optimisation, wearable sensing, and AI-enabled vision systems, demonstrating how operational efficiency can coexist with human welfare and environmental responsibility. Synthesising across these themes, the editorial identifies key insights on human-technology symbiosis, sustainable digitalisation, and cyber-physical-social integration in warehouses. It also outlines future research directions on adaptive human-robot collaboration, circular logistics, responsible AI, and integrative modelling. The practical and policy implications discussed provide a framework for managers and decision-makers to implement Warehousing 5.0 principles effectively. Collectively, the Special Issue contributes to shaping a new generation of resilient, sustainable, and human-aware warehouses, reinforcing IJPR's leadership in advancing innovative and responsible production and logistics systems.Conference Object Using Proxy Design Pattern for Transparent Redundant Execution(Ceur-Ws, 2018) Öz, Sinan; Öz, Işıl; Öz, DindarBook Part Urbanism as Incubator for Social Reform: Bruno Taut and the Accomplished Utopia of the Siedlungen(Springer Science+Business Media, 2025) Ardizzola, PaolaConference Object UML ile modellenen coʇrafi verilerin XSLT yardimiyla OWL'a dönüştürülmesi(Ceur-Ws, 2014) Önel, Sermet; Komesli, Murat; Okur, Mehmet CudiBook Part undefinedQualcosa Di Concretoundefined: Mimetic Fiction and Spectrality in Pier Paolo Pasolini’s Cinema of Poetry(Bloomsbury Publishing Plc., 2013) Cavallini, RobertoArticle Trading Systems, Foreign Direct Investment and Economic Growth: Evidence from Asean Countries(2006) Onwuka, Kevin Odulukwe; Baharumshah, Ahmad ZubaidiBook Part Tourist Typology Models(CABI International, 2025) Aydın, Canan; İçöz, OrhanBook Part Tourism Planning Models(CABI International, 2025) İlhan, İbrahim; İçöz, Orhan; Coşkun, OkayArticle Time-Based Fire Resistance Performance of Axially Loaded, Circular, Long CFST Columns: Developing Analytical Design Models Using ANN and GEP Techniques(MDPI, 2025) Nassani, Dia Eddin; Ozelmaci Durmaz, C. Ozge; Ipek, Suleyman; Mete Guneyisi, EsraConcrete-filled steel tube (CFST) columns are composite structural elements preferred in various engineering structures due to their superior properties compared to those of traditional structural elements. However, fire resistance analyses are complex due to CFST columns consisting of two components with different thermal and mechanical properties. Significant challenges arise because current design codes and guidelines do not provide clear guidance for determining the time-dependent fire performance of these composite elements. This study aimed to address the existing design gap by investigating the fire behavior of circular long CFST columns under axial compressive load and developing robust, accurate, and reliable design models to predict their fire performance. To this end, an up-to-date database consisting of 62 data-points obtained from experimental studies involving variable material properties, dimensions, and load ratios was created. Analytical design models were meticulously developed using two advanced soft computing techniques: artificial neural networks (ANNs) and genetic expression programming (GEP). The model inputs were determined as six main independent parameters: steel tube diameter (D), wall thickness (ts), concrete compressive strength (fc), steel yield strength (fsy), the slenderness ratio (L/D), and the load ratio (mu). The performance of the developed models was comprehensively compared with experimental data and existing design models. While existing design formulas could not predict time-based fire performance, the developed models demonstrated superior prediction accuracy. The GEP-based model performed well with an R-squared value of 0.937, while the ANN-based model achieved the highest prediction performance with an R-squared value of 0.972. Furthermore, the ANN model demonstrated its excellent prediction capability with a minimal mean absolute percentage error (MAPE = 4.41). Based on the nRMSE classification, the GEP-based model proved to be in the good performance category with an nRMSE value of 0.15, whereas the ANN model was in the excellent performance category with a value of 0.10. Fitness function (f) and performance index (PI) values were used to assess the models' accuracy; the ANN (f = 1.13; PI = 0.05) and GEP (f = 1.19; PI = 0.08) models demonstrated statistical reliability by offering values appropriate for the expected targets (f approximate to 1; PI approximate to 0). Consequently, it was concluded that these statistically convincing and reliable design models can be used to consistently and accurately predict the time-dependent fire resistance of axially loaded, circular, long CFST columns when adequate design formulas are not available in existing codes.Book Theories and Models in Tourism and Hospitality Research(CABI International, 2025) Çetin, İbrahim; Bozkurt, Yiğit S.; İçöz, Orhan; Uysal, MuzafferBook Part The Role of UAV Automation in Inbound Logistics and Warehousing(Springer Nature, 2025) Lafci, Cisem; Berberoglu, Yalcin; Kayikci, YasanurConference Object The Role of Artificial Intelligence in Sustainable Food Retailing: A Pathway to Reducing Waste and Enhancing Efficiency(Springer Science and Business Media B.V., 2026) Köse, Şirin Gizem; Kazancoglu, Ipek; Kazancoglu, YigitArticle Citation - Scopus: 1The Predictive Factors of Risky Alcohol Consumption in University Students(Istanbul Universitesi, 2015) Tok, Emine Sevinç Sevi; Özyurt, Berrin EylenArticle The Interaction between Histone Acetylation and Methylation with ROS Metabolism in Plants(Springer, 2026) Ozgur, Rengin; Turkan, Ismail; Sevim, Gulcin; Keskinoglu, Merve; Gumus, B. Ozlem; Uzilday, BarisPlants are constantly challenged by various abiotic stresses throught their life cycle and have evolved complex defence systems to ensure survival. Reactive oxygen species (ROS) are generated as byproducts of diverse metabolic pathways, acting not only as damaging molecules but also as essential signaling mediators at basal levels. Recent evidence indicates that enzymes involved in ROS/redox metabolism can influence gene expression by modulating histone modifications, particularly acetylation and methylation. Nevertheless, the precise molecular mechanisms linking ROS dynamics to epigenetic regulation remain poorly understood. This review synthesizes current knowledge on the interplay between ROS metabolism and global histone modifications in plants, highlighting how these interactions shape transcriptional reprogramming under stress conditions. Furthermore, we discuss how this crosstalk contributes to plant defence strategies against abiotic stresses such as drought, salinity, and heavy metal exposure, and we identify emerging questions and future research directions in this rapidly developing field.Book Part The Gendered Experience of Freelancing in the Turkish Communication Industry: A Comparative Analysis(Emerald Publishing, 2025) Alikiliç, Özlem; Gökaliler, EbruConference Object The Calculation of Target Poles with Wavelet Transform for Electromagnetic Target Discrimination(2012) Seçmen, Mustafa; Özkurt, NalanArticle Citation - Scopus: 2The Concepts of Empowering Women in Turkey(Allied Business Academies, 2019) Yenilmez, Meltem InceBook Part The Development of the Sacred Place: Virgin Mary’s House in Ephesus(Edward Elgar Publishing Ltd., 2025) Enser, İrem
