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The Folding Conversation of Cinema

Gülşen Dilek Akbaş

For decays, cinema is considered as the practice of signs and images within the trajectory of linguistic sign functioning. Even though deciphering cinematic art in such a framework can explain the relational dimensions of the images/shots, it can not shed light on the actual affect of the art of cinema. That is because aesthetic and analytic communication is two disparate forms of language and two different communication systems. Whereas the former relies on intuitive and disinterested relations and requires un-graspable communication, the latter requires cause and effect continuity while the ...Daha fazlası

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A data-driven analysis of renewable energy management: a case study of wind energy technology

Fatma Altuntaş

Renewable energy management is critical for obtaining a significant number of practical benefits. Wind energy is one of the most important sources of renewable energy. It is extremely valuable to manage this type of energy well and monitor its development. Data-driven analysis of wind energy technology provides essential clues for energy management. Patent documents are extensively used to follow technology development and find exciting patterns. Patent analysis is an excellent way to conduct a data-driven analysis of the technology under concern. This study aims to define concepts related to ...Daha fazlası

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A comparative neural networks and neuro-fuzzy based REBA methodology in ergonomic risk assessment: An application for service workers

Bahar Yalçın Kavuş

Non-ergonomic working conditions are the leading causes of musculoskeletal disorders that seriously affect human health. REBA is widely used tool due to its convenience and consideration of all body parts. However, it heavily relies on the subjective judgments of the assessor, leading to inconsistencies in results, and lacks sensitivity in detecting small changes in ergonomic risk factors. Therefore, there is a need to improve the REBA method by integrating it with new technologies. While a few studies have proposed integrating ergonomic risk measurement tools with ANNs, there is a research ga ...Daha fazlası

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Validation of the Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) questionnaire for adults

Aslı Enez Darçın

Background: The Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT; www.coh-fit.com) is an anonymous and global online survey measuring health and functioning during the COVID-19 pandemic. The aim of this study was to test concurrently the validity of COH-FIT items and the internal validity of the co-primary outcome, a composite psychopathology “P-score”. Methods: The COH-FIT survey has been translated into 30 languages (two blind forward-translations, consensus, one independent English back-translation, final harmonization). To measure mental health, 1–4 ite ...Daha fazlası

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Chaotic Sand Cat Swarm Optimization

Sajjad Nematzadeh

In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm Optimization (CSCSO) is proposed for constrained and complex optimization problems. This algorithm combines the features of the recently introduced SCSO with the concept of chaos. The basic aim of the proposed algorithm is to integrate the chaos feature of non-recurring locations into SCSO's core search process to improve global search performance and convergence behavior. Thus, randomness in SCSO can be replaced by a chaotic map due to similar randomness features with better statistical and dynamic properties. In ...Daha fazlası

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The correlation between death anxiety, loneliness and hope levels in patients treated in the cardiac intensive care unit

Özlem Akman

Background: A sense of hope plays an important role in relieving stress and psychological distress of cardiology patients, as well as improving their physical well-being.Aim: The aim of this study is to investigate the correlation between death anxiety, loneliness and hope levels in patients receiving treatment in a cardiac intensive care unit (ICU).Design: This is a prospective, descriptive and correlational study.Methods: The study was completed with 150 cardiac ICU patients in Istanbul, Turkey. The data were collected using a Patient Information Form, the Templer Death Anxiety Scale (TDAS), ...Daha fazlası

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Hybrid model-based prediction of biomass density in case studies in Turkiye

Buket İşler

Growing global concern over natural resource degradation due to urbanisation and population growth emphasizes the critical need for innovative solutions. Addressing this imperative, our study pioneers the integration of cutting-edge artificial intelligence (AI) methods to investigate crucial changes in vegetation density. In this context, a hybrid model, which harmoniously integrates conventional artificial neural network (ANN) models with the innovative Wavelet-ANN (W-ANN) approach, was employed in two case pilot areas, namely on Alanya in Antalya and Iznik in Bursa, Turkiye, renowned for the ...Daha fazlası

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The impact of perceived education quality on tourism and hospitality students career choice: The mediating effects of academic self-efficacy

Derya Demirdelen Alrawadieh

Despite the importance of understanding tourism and hospitality (T&H) students' career choices for both high education institutions and industry practitioners, scarce empirical research exists which limits drawing reliable conclusions on the antecedents of T&H students' post graduate behavioral intentions. Drawing on data collected from 267 undergraduate T&H students in Turkey, the results show that perceived education quality is positively associated with T&H students' intention to join the industry but not to pursue a postgraduate degree. The findings also confirm the mediating role of acade ...Daha fazlası

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A hybrid firefly and particle swarm optimization algorithm applied to multilevel image thresholding

Taymaz Akan

There are many techniques for conducting image analysis and pattern recognition. This papers explores a way to optimize one of these techniques-image segmentation-with the help of a novel hybrid optimization algorithm. Image segmentation is mostly used for a semantic segmentation of images, and thresholding is one the most common techniques for performing this segmentation. Otsu's and Kapur's thresholding methods are two well-known approaches, both of which maximize the between-class variance and the entropy measure, respectively, in a gray image histogram. Both techniques were developed for b ...Daha fazlası

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Sexual harassment, psychological well-being, and job satisfaction of female tour guides: the effects of social and organizational support

Derya Demirdelen Alrawadieh

Drawing on the Conservation of Resources Theory (COR), and a gender perspective, this study proposes and tests a conceptual model postulating relationships between sexual harassment, burnout, perceived social and organizational support, psychological well-being, and job satisfaction. A survey of Turkish female tour guides resulted in 221 valid questionnaires. The results reveal that female tour guides' sexual harassment experience has a negative impact on their job satisfaction and psychological well-being. Unlike perceived social support, perceived organizational support plays a significant a ...Daha fazlası

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Multi-modal Battle Royale optimizer

Taymaz Akan

Multimodal optimization poses a challenging problem in the field of optimization as it entails the discovery of multiple local and global optima, unlike unimodal optimization, which seeks a single global solution. In recent years, the significance of addressing multimodal optimization challenges has grown due to the real-world complexity of many problems. While numerous optimization methods are available for unimodal problems, multimodal optimization techniques have garnered increased attention. However, these approaches often grapple with a common issue: the determination of the niching param ...Daha fazlası

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MOBRO: multi-objective battle royale optimizer

Taymaz Akan

Battle Royale Optimizer (BRO) is a recently proposed optimization algorithm that has added a new category named game-based optimization algorithms to the existing categorization of optimization algorithms. Both continuous and binary versions of this algorithm have already been proposed. Generally, optimization problems can be divided into single-objective and multi-objective problems. Although BRO has successfully solved single-objective optimization problems, no multi-objective version has been proposed for it yet. This gap motivated us to design and implement the multi-objective version of B ...Daha fazlası

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