WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
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Article Assessment of Artificial Lighting Conditions in Sunlight-Deprived Classrooms(Gazi Univ, Fac Engineering Architecture, 2025) Duyan, Fazila; Kaplan, ElifNumerous studies on classroom lighting emphasize a close and significant relationship between students' concentration, comprehension of course content, and the efficiency of activities such as drawing, writing, and practices, with the lighting conditions. In this context, it is particularly important to properly design both the physical and psychological effects of artificial lighting, especially in sunlight-deprived classrooms. This study examines the artificial lighting conditions of a classroom located in the basement of a university building, which has no visual connection to the outdoors. The classroom is utilized by students from the departments of Architecture, Interior Architecture, and Industrial Design. The study investigates the effects of current artificial lighting on students, focusing on aspects such as visual perception satisfaction, light colour, illuminance level, glare, and the temporal light modulation effect. To assess students' perception of the existing lighting conditions, an online questionnaire was administered, and a total of 104 students (65 female, 39 male) who had previous experience with the classroom participated in the study. Technical measurements of the existing luminaires were conducted, and the classroom was digitally modelled using the DIALux Evo lighting software. The collected data were analysed using the SPSS statistical analysis program. The findings of the study indicate that students perceived the artificial lighting conditions as inadequate in terms of visual comfort. Moreover, based on technical measurements, simulations, and user evaluations, it was determined that the existing luminaires caused glare and temporal light modulation effects, negatively affecting the classroom environment.Article Citation - WoS: 4Citation - Scopus: 5Qualitative and Artificial Intelligence-Based Sentiment Analysis of Turkish Tweets Related To Schizophrenia(Turkiye Sinir ve Ruh Sagligi dernegi, 2023) Dikec, Gul; Oban, Volkan; Usta, Mirac BarisObjective: The aim of this study was to qualitatively examine Turkish tweets about schizophrenia in respect of stigmatization and discrimination within a one-month period and to conduct emotional analysis using artificial intelligence applications. Method: Using the keyword 'schizophrenia,' Turkish tweets were gathered from the Python Tweepy application between December 19, 2020 and January 18, 2021. Features were extracted using the Bidirectional Encoder Representations from Transformers (BERT) method and artificial neural networks and tweets were classified as positive, neutral, or negative. Approximately 5% of the tweets were qualitatively analyzed, constituting those most frequently liked and retweeted. Results: The study found that, of the total of 3406 schizophrenia-related messages shared in Turkey over a period of one-month, 2996 were original, and were then retweeted a total of 1823 times, and liked by 25,413 people. It was determined that 63.4% of the tweets shared about schizophrenia contained negative emotions, 28.7% were neutral, and 7.71% expressed positive emotions. Within the scope of the qualitative analysis, 145 tweets were examined and classified under four main themes and two sub-themes; namely, news about violent patients, insult (insulting people in interpersonal relationships, insulting people in the news), mockery, and information. Conclusion: The results of this study showed that the Turkish tweets about schizophrenia, which were emotionally analyzed using artificial intelligence were found often to contain negative emotions. It was also seen that Twitter users used the term schizophrenia, not in a medical sense but to insult and make fun of individuals, frequently shared the news that patients were victims or perpetrators of violence, and the messages shared by professional branch organizations or mental health professionals were primarily for conveying information to the public.Article Citation - WoS: 5Citation - Scopus: 6An Integrated Methodology Proposal for Sustainable Fashion: Understanding and Examining Criteria Affecting the Second-Hand Clothes Shopping(Gazi Univ, Fac Engineering Architecture, 2022) Usta, Saliha Karadayi; Kadaifci, Cigdem; Karadayi-usta, SalihaSustainable fashion is an important movement that offers numerous benefits in the long run by questioning the actual needs of the consumer, selecting the natural fabrics, preferring the brands providing ethical working conditions for the employees, using the acquired clothes as long as possible, repairing when necessary, and recycling into yarn when the lifetime is over, or transforming into a new product by changing the function of the items. In this context, the most active role of consumers is to prefer quality products that can last for many years and to extend the time of the products remaining in use, especially through the purchase and sale of second-hand clothes. While current papers provide roadmaps based on conceptual details, and consumer perception and attitude, there is no comprehensive study in second-hand shopping practices specific to clothing. Hence, the aim of this study is proposing an integrated methodology to understand the criteria that consumers pay attention in second-hand clothes shopping platforms as a tool that makes sustainable fashion possible via literature review, individual interviews and text mining, to determine the weights of these criteria according to their importance via Step-Wise Weight Assessment Ratio Analysis (SWARA) methodology, and to compare the prominent platform alternatives via Weighted Aggregated Sum Product Assessment (WASPAS) technique. The criteria weights vary depending on the sustainability awareness of consumers, and on the generation gap.