WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://acikerisim2.beykoz.edu.tr/handle/20.500.12879/2

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Developing a Strategic Framework for Airline Destination Selection: A Multi-Criteria Decision-Making Approach Applied To Turkish Airlines
(Elsevier, 2025) Mizrak, Filiz; Mizrak, Kagan Cenk; Akkartal, Gonca Reyhan
The purpose of this study is to develop a comprehensive decision-making framework that airlines can use to strategically select new destinations, demonstrated here with a case application for Turkish Airlines. Addressing the complexities of route expansion, the study integrates the Entropy weighting method with the 2-Tuple Linguistic T-Spherical Fuzzy Decision by Opinion Score Method (2TLTS-FDOSM) to evaluate potential destinations across critical criteria, including market demand, economic impact, and regulatory environment. Data were collected from industry reports, expert evaluations, and publicly available aviation metrics to support a thorough and adaptable analysis. Findings from the Turkish Airlines case reveal San Antonio, TX (SAT), Portland, OR (PDX), and Nashville, TN (BNA) as top-ranked destinations, each offering distinct economic and operational benefits. This study contributes to aviation management literature by presenting a versatile, data-driven framework that can guide route selection for carriers in competitive markets. The framework's ability to balance quantitative and qualitative insights underscores its potential for broader application in network planning, promoting sustainable growth within the aviation industry.
The Effects of SNAI1 rs6125849 Gene Polymorphism on Metastasis and Survival in Colorectal Cancer: Preliminary Results from Turkish Subjects
(Elsevier, 2021) Cevik, Mehtap; Namal, Esat; Sener, Nur Dinc; Koksal, Ulkuhan Iner; Deliorman, Gokce; Ciftci, Cavlan; Susleyici, Belgin
Background: Since metastasis is one of the leading causes of high mortality in colorectal cancer, uncovering the molecular mechanisms underlying metastatic process has become important to find new treatment approaches. With this perspective, in this study we investigated effects of epithelial-mesenchymal transition (EMT) inducer SNAI1 rs6125849 gene polymorphism on different features of colorectal cancer. Material and methods: A total of 141 Turkish subjects consisting of 72 colorectal cancer patients and 69 healthy controls were included in the study. SNAI1 rs6125849 genotype analyses were performed with Agena MassARRAY platform. Results: We did not find any significant difference between case and control groups for rs6125849 genotypes. All metastatic patients were detected to have homozygous mutant (AA) genotype. Heterozygous and homozygous mutant genotypes (GA + AA) were more common in metastatic colorectal cancer patients compared to those with homozygous wild type (GG) genotype (p = 0.066). We also detected positive, albeit low but significant correlation between rs6125849 genotypes in codominant and dominant models (r = 0.250, p = 0.034 and r = 0.234, p = 0.048, respectively). Overall survival times was found to be considerably higher patients with A allele (Log rank: 3.04, p = 0.081). Conclusion: According to our preliminary results, we may speculate that SNAI1 gene G > A variation may result with a metastatic phenotype and shorter overall survival. Due to limited number of patients in our study group, further in vitro and in vivo studies are required to understand the role of SNAI1 rs6125849 variation on metastasis and survival functions.
Efficacy of Cognitive-Behavioral Therapy in Reducing Muscle Dysmorphia Symptoms Among Turkish Gym Goers: A Pilot Study
(Elsevier, 2024) Cinaroglu, Metin; Yilmazer, Eda; Ulker, Selami Varol; Ahlatcioglu, Esra Noyan; Sayar, Gokben Hizli
Muscle dysmorphia (MD) is a disorder marked by an obsessive focus on muscularity, often leading to excessive exercise, rigid dieting, and use of performance-enhancing drugs (PEDs). While Cognitive-Behavioral Therapy (CBT) is known to be effective for various body image disorders, its specific effects on individuals with MD have been less studied. This qualitative case series involved seven male participants, aged 35-55, all diagnosed with MD and with a history of anabolic steroid use, undergoing a 12-week manualized CBT intervention. The study aimed to explore how CBT impacts their body image perceptions, exercise behaviors, steroid use, and emotional responses. Data were collected through participant feedback during therapy sessions, with thematic analysis revealing significant shifts in body image perception and reductions in compulsive behaviors and steroid use. Despite these improvements, participants experienced feelings of loss and anxiety as they modified their routines, and some reported relapses under stress, indicating the chronic nature of MD. The findings suggest that CBT effectively reshapes cognitive and behavioral patterns in MD sufferers but also highlight the need for ongoing support to manage the disorder's emotional complexities and prevent relapses. Future research should focus on long-term and individualized therapeutic approaches to better support those with muscle dysmorphia.
Multimodal Neurophysiological Responses to Body Image Stimuli in Men with Muscle Dysmorphia and Steroid Use
(Elsevier, 2025) Cinaroglu, Metin; Yilmazer, Eda; Ulker, Selami Varol; Sayar, Gokben Hizli
Muscle dysmorphia (MD), a subtype of body dysmorphic disorder (BDD), involves a pathological preoccupation with muscularity and is commonly linked to anabolic steroid and performance-enhancing drugs (PEDs) use. Despite its rising prevalence, the neurophysiological and affective mechanisms underlying MD, particularly in steroid users, remain underexplored. This study examined 71 male strength-training participants (35 with BDD/ steroid use; 36 controls) during a passive viewing task of muscular, average, and slender male physiques while recording electroencephalography (EEG), electrodermal activity (EDA), and eye-tracking data. Psychometric assessments captured muscularity concerns (Muscle Dysmorphic Disorder Inventory, MDDI), anxiety (State-Trait Anxiety Inventory, STAI), obsessive-compulsive symptoms (Obsessive-Compulsive Inventory-Revised, OCI-R), appearance-related anxiety (Social Appearance Anxiety Scale, SAAS; Social Physique Anxiety Scale, SPAS), and selfesteem (Self-Liking/Self-Competence Scale-Revised, SLCS-R). The BDD/MD group showed significantly heightened responses to muscular stimuli across all modalities. EEG results revealed increased P300 and late positive potential (LPP) amplitudes, along with greater left-lateralized frontal alpha asymmetry. Eye-tracking indicated longer fixation durations and more frequent fixations on muscular images. EDA results showed elevated levels of autonomic arousal. Between-group differences in psychometric measures were substantial, with large effect sizes. Correlational analyses demonstrated significant associations between MD severity and neurophysiological markers, including LPP amplitude, frontal asymmetry, and EDA reactivity. These findings suggest that men with MD and steroid/PEDs use exhibit amplified attentional, emotional, and physiological reactivity to muscular body images. The integration of EEG, EDA, and eye-tracking provides novel insights into the neurocognitive-affective profile of BDD/MD, emphasizing the salience of idealized physiques in this population. Results support the potential utility of multimodal measures as objective indicators for assessing body image disturbance and underscore the need for targeted interventions addressing perceptual and emotional dysregulation in BDD/MD.
Optimization of Renewable Energy Usage in Public Transportation: Mathematical Model for Energy Management of Plug-In PV-Based Electric Metrobuses
(Elsevier, 2024) Saray, Merve; Saray, Muhammet; Kazan, Cem; Guner, Sitki
In which internal combustion engines are used, public transportation systems undoubtedly have an important role in increasing carbon emissions. On the other hand, to reduce the carbon footprint and satisfy sustainability targets, the demand for electric vehicles with high energy conversion efficiency is increasing. At that point, various studies have been carried out to find out greener solutions in recent years, and it is demonstrated that it is also important to electrify public vehicles. This study contributes to the related literature and focuses on met-robuses, which are frequently used in the public transportation sector, and have garages in Istanbul, Turkey's most populated city. An environmentally friendly Metrobus Charging Station Optimization Model, which is in-tegrated with the grid and renewable energy systems and can exchange energy with the grid, when necessary, is designed for the IETT Avcilar Metrobus garage where the metrobuses are located which has static conditions and optimal scheduling. The single objective MILP maximizes the usage of renewable energy by minimizing the cost of non-renewable energy usage and points out the best assignment of metrobuses to the scheduled departures. Finally, the model is solved in GAMS solver and it is observed that an environmentally friendly approach is not costly.
Optoelectronic Investigation of Cu2FeSnS4 Quaternary Functional Photodiodes with IR Detection Capabilities
(Elsevier, 2021) Koc, Mumin Mehmet; Dere, Aysegul; Ozdere, Alper; Al-Sehemi, Abdullah G.; Coskun, Burhan; Al-Ghamdi, Ahmed A.; Yakuphanoglu, Fahrettin
Cu2FeSnS4 semiconductor used in the preparation of quaternary photodiodes was synthesized using hydrothermal synthesis. The nanoparticles were then spin coated on a silicon substrate. Nanoparticles were characterized using SEM and EDX where nanoparticles in granular form were seen. Optoelectronic properties were assessed using UV spectra throughout which bandgap energies were calculated. The band gap energy of Cu2FeSnS4 semiconductor was found as 1.22 eV. I - V and I - t characteristics illustrate that Al/p-Si/Cu2FeSnS4/Al heterojunction photodiodes were responsive to daylight and infrared light. Ideality factor, barrier height, saturation current, and photoresponse values were calculated using I - V and I - t data. The ideality factors were calculated as 5.14 and 5.61 for daylight and infrared light (IR) illuminations, respectively. Electrical properties of diodes were checked using C - V and G - V analysis. It was seen that the electrical properties of photodiodes strongly depend on AC signal frequency. Our assessment revealed that frequency related electrical behavior is originated from interface states. (C) 2021 Elsevier B.V. All rights reserved.
Pedestrian Tracking in Outdoor Spaces of a Suburban University Campus for the Investigation of Occupancy Patterns
(Elsevier, 2019) Gocer, Ozgur; Gocer, Kenan; Ozcan, Baris; Bakovic, Mujesira; Kirac, M. Furkan
The design of a livable and comfortable environment has been one of the main aims of sustainable university campus design. The creation of outdoor spaces for accommodating amenities has a positive effect on users with regard to various physiological and psychological aspects. Knowing how daily activity patterns and pedestrian movements are distributed across space is important for assessing whether or not human use and design plans are in fact successful. The aim of this study is to determine occupancy patterns and pedestrian routes in outdoor spaces during different seasons at a sustainable university campus by using spatial statistical analyses that involve ANN, MC and SDE. To perform these analyses, the researchers attempted to use a pedestrian tracking method from camera surveillance to aggregate the required data by conducing a longitudinal study. The data that were aggregated by pedestrian tracking was visualized with the use of a spatio-temporal mapping method in GIS. Logistic GWR was performed to seek the relationship between occupancy pattern (clustered distribution) and design layout of open spaces, comprising the variables of proximity to the attraction centers/entrances, and visual integration. The results confirmed that occupants prefer to use the areas that have high visual integration value and are close to attraction centers.
Strategic Deployment of Piezoelectric Energy Harvesting in Smart Urban Infrastructure: A Hybrid Qpfrs, M-SWARA, K-Means Clustering, and Promethee Evaluation for Sustainable Advantage
(Elsevier, 2025) Mizrak, Filiz; Yasar, Okan
This study develops a hybrid multi-criteria decision-making (MCDM) model to evaluate and prioritize kinetic energy harvesting materials for urban infrastructure, a critical area as cities increasingly adopt sustainable technologies to meet energy demands. The integration of Quadripartitioned Fuzzy Rough Sets (QPFRS), MSWARA, K-Means clustering, and PROMETHEE offers a novel approach for addressing the complexities of material selection by balancing factors such as energy efficiency, durability, cost, scalability, and environmental impact. The strategic importance of this research lies in its potential to guide urban planners and policymakers toward making informed decisions that align with long-term sustainability goals and competitive advantages in smart city development. The findings identify BaTiO3 and ZnO as the most suitable materials for large-scale urban projects, offering superior performance in scalability and environmental sustainability, while materials like PZT exhibit strong energy efficiency but pose environmental concerns. By offering a comprehensive, adaptable evaluation framework, this study contributes both methodologically and practically to the growing field of sustainable urban infrastructure, ensuring that material selection not only meets immediate energy needs but also supports long-term urban development strategies.

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