BURCU ÖZGÜL

Makale | 2023 | Sustainability15 ( 4 ) , pp.1 - 20

No prior literature has investigated the effect of managers’ green transformational leadership (GTL) on financial performance (FP). The current study introduces an original research framework with the aim of filling in this gap. This study introduces a completer analytical framework by considering the direct impacts of managers’ GTL on FP and the indirect impacts of managers’ GTL under the joint action of corporate environmental strategy (CES), green product innovation (GPT), and green process innovation (GPI). Furthermore, based on the question of how enterprises can earn profit from GPT, analyzing the moderator impact of different . . .iation strategy on the relationship between GPT and FP is also within the context of the present study. The data collected from 315 firms with the ISO 14001 certificate in the First and Second 500 Industrial Enterprises List of Turkey in 2018 were tested in the SmartPLS 3 analysis program. The empirical evidence shows that managers’ GTL affects FP both directly and indirectly through CES and GPI. However, it is concluded that GPT does not have a direct positive impact on FP. Considering GPT and differentiation strategy jointly, it is observed that its relationship with FP is positive and significan Daha fazlası Daha az

Buket İşler

Makale | 2023 | Sensors23 ( 5 ) , pp.1 - 17

Industrialization and rapid urbanization in almost every country adversely affect many of our environmental values, such as our core ecosystem, regional climate differences and global diversity. The difficulties we encounter as a result of the rapid change we experience cause us to encounter many problems in our daily lives. The background of these problems is rapid digitalization and the lack of sufficient infrastructure to process and analyze very large volumes of data. Inaccurate, incomplete or irrelevant data produced in the IoT detection layer causes weather forecast reports to drift away from the concepts of accuracy and relia . . .bility, and as a result, activities based on weather forecasting are disrupted. A sophisticated and difficult talent, weather forecasting needs the observation and processing of enormous volumes of data. In addition, rapid urbanization, abrupt climate changes and mass digitization make it more difficult for the forecasts to be accurate and reliable. Increasing data density and rapid urbanization and digitalization make it difficult for the forecasts to be accurate and reliable. This situation prevents people from taking precautions against bad weather conditions in cities and rural areas and turns into a vital problem. In this study, an intelligent anomaly detection approach is presented to minimize the weather forecasting problems that arise as a result of rapid urbanization and mass digitalization. The proposed solutions cover data processing at the edge of the IoT and include filtering out the missing, unnecessary or anomaly data that prevent the predictions from being more accurate and reliable from the data obtained through the sensors. Anomaly detection metrics of five different machine learning (ML) algorithms, including support vector classifier (SVC), Adaboost, logistic regression (LR), naive Bayes (NB) and random forest (RF), were also compared in the study. These algorithms were used to create a data stream using the time, temperature, pressure, humidity and other sensor-generated information Daha fazlası Daha az

GÖZDE AKKAYA

Makale | 2023 | Journal of Addictive Diseases , pp.1 - 12

Background: Opioid use disorder (OUD) is a chronic disorder with a considerable amount of morbidity and mortality. Despite remarkable improvement achieved by maintenance programs, an array of treatment goals were still unmet. Mounting evidence suggests that transcranial Direct Current Stimulation (tDCS) improves decision making and cognitive functions in addictive disorders. tDCS paired with a decision making task was depicted to diminish impulsivity as well. Objectives: The present study aimed to assess the effect of tDCS combined with cognitive training (CT) in OUD for the first time. Methods: In this triple-blind randomized sham- . . .controlled pilot study, 38 individuals with OUD from the Buprenorphine-Naloxone Maintenance Therapy program were administered 20-minutes of 2mA active/sham tDCS over the dorsolateral prefrontal cortex with concomitant cognitive training. A selected test battery evaluating decision making under risk and ambiguity as well as executive functions, verbal fluency and working memory was utilized before and after the intervention. Results: Greater improvements were observed in decision making under ambiguity (p=0.016), set shifting ability and alternating fluency while no improvements were observed in decision making under risk in the active group, compared to sham. Conclusions: Deficits of decision making and executive functions have a pivotal role in the perpetuation and the relapse of the OUD. Alleviation of these impairments brought tDCS/ CT forth as an expedient neuroscientifically-grounded treatment option that merits further exploration in OUD, Trial registration: NCT05568251 Daha fazlası Daha az

Vedat Esen

Makale | 2022 | European Journal of Technique12 ( 2 ) , pp.176 - 181

The use of electrical energy from renewable energy sources has increased considerably in recent years. Photovoltaic (PV) solar energy, which is one of the renewable energy sources, takes its source from the sun, which is considered an unlimited source. With the widespread use of photovoltaic systems, some legal regulations by governments have been made for their installation. Simulation programs are used for the design, layout, technical and economic analysis of PV systems. In this study, the design is made using the PVsyst, PV*SOL, Solarius programs, and the PVGIS website used in PV systems. The projects are designed to have an out . . .put power of 25 kW. According to the simulation results, the PVGIS website provides approximate data since technical details cannot be entered. In the results of PVGIS and all simulation programs, it has been calculated that the system can produce 42-48 MWh of electrical energy annually. Power Ratio (PR) results of the system were in the range of 78-85%. Annual electrical energy production per installed kW has been calculated to be 1436-1635 kWh/year. It is stated that the annual saved CO2 will be 18.66-22.226 tons /year. When the simulation results are analysed monthly, the differences between the months are remarkable. The reason for these deviations can be explained by the annual solar radiation (kWh/m2 ) data and databases used by the programs. It has been observed that the simulation programs consider the monthly average temperatures and sunshine durations of the region. It is thought that there is a need to compare real-time data with simulation results in future studies. It is considered that this study will be helpful for future studies Daha fazlası Daha az

BURCU ÖZGÜL

Makale | 2023 | Journal of Information & Knowledge Management22 ( 2 ) , pp.1 - 27

No previous studies in the literature have investigated the serial mediation impact of innovation capability and product innovation on the in°uence of market orientation on ¯rm performance. The focus in this research is on the role of the combination of innovation capability and product innovation in the in°uence of market orientation on ¯rm performance. To that end, it is aimed to examine the direct and indirect impacts of market orientation on ¯rm performance (through innovation capability and product innovation, respectively). The data collected from 739 small and medium-sized enterprises (SMEs) in Turkey by employing the online . . .survey method were tested using the SmartPLS 3 analysis programme. Pieces of empirical evidence have revealed that both market orientation and innovation capability act as important antecedents of product innovation. Moreover, mediation analysis demonstrates that innovation capability and product innovation in turn mediate the connection between market orientation and ¯rm performance. Consequently, this research provides pieces of evidence showing that SMEs can increase their ¯rm performance with innovations they can make in their products by improving their innovation capability with a market-oriented approach so that they can open up to foreign markets in theory and practice Daha fazlası Daha az

Özlem KUNDAY

Makale | 2023 | International Journal of Management Economics and Business Uluslararası Yönetim İktisat ve İşletme Dergisi19 ( 2 ) , pp.217 - 242

increasing. Such a transition can be made possible through the conversion of existing business models as well as the introduction of new, circular ones. When it comes to application, circular business models can be adopted by both existing companies and start-ups. Among these two, academic research has traditionally focused more on existing companies. Therefore, more studies are needed on circular economy related activities of start-ups. As an exploratory study, this research analyses circularity strategies and circular business models used by start-ups within Turkey. The analysis is based on the data collected from 47 companies. As . . . a result, we found that most frequently used circularity strategy by circular start-ups in Turkey is Recycling, followed by Rethinking. As for circular business models used by these companies, we observed that Next Life- Extending Resource Value and Collaborative Consumption- Sharing Platform models are the most popular ones. In addition, we suggest that circular start-ups in Turkey can be categorised under five categories:1) Recycling Companies, 2) Sharing Based Endeavours, 3) Recycled Material Users, 4) Second-Hand Product Marketplaces, 5) Waste Management Platforms. modeline geçiş yapmaları ihtiyacı artmaktadır. Bu yönde bir dönüşüm mevcut iş yapış biçimlerinin değişmesiyle olduğu kadar, yepyeni iş modellerinin kullanılmaya başlamasıyla da mümkün olacaktır. Uygulamada, döngüsel ekonomi anlayışıyla uyumlu bu yeni iş modellerinin hem mevcutta kurulu olan, hem de yeni kurulmuş işletmeler tarafından hayata geçirildiği görülmektedir. Bununla beraber, akademik çalışmalar çoğunlukla kurulu şirketlerin uygulamalarına odaklanagelmiştir. Bu yüzden yeni kurulan işletmelerin döngüsel uygulamalarının daha fazla incelenmesine ihtiyaç duyulmaktadır. Bu noktadan hareketle keşifsel bir çalışma olarak tasarlanan bu araştırma Türkiye’deki yeni kurulan şirketlerin döngüsel stratejilerine ve iş modellerine odaklanmıştır. Araştırma kapsamında 47 firma mercek altına alınarak incelenmiştir. Sonuç olarak, Türkiye’de yeni kurulan döngüsel işletmelerin en çok Geri Dönüşüm stratejisini uyguladıkları görülmüştür. Bunu Yeniden Ele Alma stratejisi takip etmektedir. Bu şirketlerce uygulanan iş modellerine bakıldığında, en çok Ürünün Sonraki Hayatı- Kaynak Değerini Uzatmak ve Paylaşım Platformu iş modellerinin kullanıldığı gözlemlenmiştir. Araştırma sonuçlarına göre, Türkiye’deki döngüsel işletmeler şu beş kategori altında toplanmaktadır: 1) Geri Dönüşüm Şirketleri, 2) Paylaşım Temelli Girişimler, 3) Geri Dönüştürülmüş Malzeme Kullanan Girişimler, 4) İkinci-el Pazaryeri Uygulamaları, 5) Atık Yönetim Platformları Daha fazlası Daha az

Bahar Yalçın Kavuş

Makale | 2023 | Engineering Applications of Artificial Intelligence123 , pp.1 - 17

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 gap in comparing different types of neural . . . networks and membership functions to determine the most effective approach for improving the performance of REBA. Additionally, there is a need to apply these integrations to real-life case studies to demonstrate their effectiveness in practice. This study proposes a comparative neural network and neuro-fuzzy-based REBA method that includes various types of neural networks and membership functions. The proposed method is applied to service employee who have experienced increased workloads due to the Covid-19 pandemic. The results show that the neuro-fuzzy method is more accurate than the REBA and provides greater flexibility in defining which member belongs to which risk level cluster. This study is critical because it addresses research gaps in integrating neural networks and REBA and applies these integrations to a real-life case study. By comparing different types of neural networks and membership functions, the study provides insights into which approaches are most effective for improving the performance of REBA Daha fazlası Daha az

Elif Gençkal Eroler

Makale | 2023 | Third World Quarterly , pp.1 - 19

The concept of modernity and its association with the West and secu-larism is being challenged with the rise of religious movements in the age of globalisation. This provides a fertile ground for alternative moder-nities, disconnected from the West and secularism, to surface. This paper provides a theoretical explanation for the emergence of alternative modernities by drawing on insights from epistemic injustice and rec-ognition theory, through an analysis of Turkish media outlets. Turkey serves as an illustrative case to examine the emergence of alternative modernities due to its long-standing tradition of incorporating Western mod . . .ernity and its complex liminal identity between the boundaries of the East and the West. This paper argues that the period from 2005 to 2020 presented a window of opportunity for an alternative modernities paradigm to engage in epistemic struggles for recognition, supported by the ideological context of the Justice and Development Party (Adalet ve Kalkınma Partisi or AKP) government. This period paved the way for questioning the superiority and uniqueness of Western modernity. However, it also indicates the birth of a new form of epistemic injustice as counter-narratives defending the superiority of Islamic civilisation emerged, seeking to establish epistemic hegemony for Islam and its association with modernity Daha fazlası Daha az

BETÜL TAŞCI

Makale | 2023 | The Egyptian Journal of Otolaryngology39 ( 1 ) , pp.1 - 7

Objectıve The objective of this study is to obtain normative data of the masseter vestibular-evoked myogenic potential (mVEMP) test in healthy individuals without hearing loss and dizziness and to compare the responses with the cVEMP test. Methods Twenty healthy individuals (10 males and 10 females) aged 20–30 years without auditory and vestibular disorders participated in the study. First, mVEMP and then cVEMP tests were applied to the individuals who voluntarily participated in the study. Results Latency values of the air-conducted mVEMP were 15.90±1.68 ms for P1 and 25.86±1.48 ms for N1 and 9.96±1.50 ms for interpeak latencies. P . . .1N1 amplitude value was 97.89±37.34 μV and asymmetry ratio (AR) was 0.13±0.07. The normative data for the mVEMP threshold was found 84 dB nHL. According to the gender diference in mVEMP measurement parameters, the P1 latency of women was found shorter than the P1 latency of men at all stimulus intensities except 90 dB nHL. There was no statistically signifcant diference between mVEMP and cVEMP test results in all other severity and all parameters except P1 latency at 100 dB and interpeak latency at 100 dB (p>0.05). Conclusıon In conclusion, it was the study fndings suggest that obtaining normative data on mVEMP could be used as an auxiliary test in the evaluation of the vestibular and trigeminal pathway and the evaluation of patients with various peripheral and central vestibular disorders Daha fazlası Daha az

Zarife Taştan

Makale | 2023 | IJOESS: International Journal of Eurasia Social Sciences 14 ( 51 ) , pp.396 - 409

Nowadays, as technology advances, individuals spend less time participating in sports, while the prevalence of ailments such as obesity, high blood pressure, cholesterol, and cardiovascular disease rises. Sports have been shown in studies to improve both physical and mental development. Aside from being physically adaptation, participating in sports may help you cope with stress, overcome sadness and anxiety, and live a happier and more fulfilling life. The purpose of this study was to predict the self-efficacy and motivation levels of university students from the School of Physical Education and Sports/Faculty of Sports Sciences, a . . .s well as their attitudes toward sports, and to test the relationship between them using the structural equation model. 957 students (Nfemale =408, Nmale =549) studying at the School of Physical Education and Sports / Faculty of Sports Sciences of different universities participated in the study. The "Sport Motivation Scale II," "General Self-Efficacy Scale," and "Sport-Oriented Attitude Scale" were used to collect data. The structural equation model was used to evaluate the structural relationship between attitude toward sports, self-efficacy, and sport motivation. Path Analysis were used to uncover the theoretically accepted relationship between students' sports motivation, selfefficacy, and attitudes about sports. The structural equation model built for the entire sample group was determined to be significant as a consequence of the research. According to the study's findings, students' motivation and self-efficacy levels in sports positively and significantly predict their attitude toward sports Daha fazlası Daha az

Onur Osman

Makale | 2023 | IEEE ACCESS 11 , pp.46577 - 46591

Many face-recognition (FR) methods have been proposed thus far. Although FR has achieved wisdom in square pixel-based image processing (SIP) due to many studies, this wisdom has not been transferred to Hexagonal pixel-based image processing (HIP) until now. This study presents HIP versions of the most basic texture extraction studies in SIP, namely Gray-Level-Co-occurrence-Matrices (GLCM), Local Binary Pattern (LBP), and our recent work, local-holistic graph-based descriptor (LHGPD). The images are first transformed from the SIP domain to the HIP domain. The HIP domain equivalences (HexGLCM, HexLBP, and HexLHGPD) of the SIP domain G . . .LCM, LBP, and LHGPD are then established. Finally, the facial recognition performances of the SIP and HIP domain versions of GLCM, LBP, and LHGPD are evaluated and compared on the primary data sets. The results of the experiments reveal that HIP domain GLCM, LBP, and LHGPD show a par performance, surpassing them in places when compared to their counterparts in the SIP domain regarding face recognition accuracy Daha fazlası Daha az

ASLI ENEZ DARÇIN

Makale | 2022 | JOURNAL OF AFFECTIVE DISORDERS 326 , pp.249 - 261

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 items (“COH-FIT items”) were extracted from . . . validated questionnaires (e.g. Patient Health Questionnaire 9). COH-FIT items measured anxiety, depressive, post-traumatic, obsessive-compulsive, bipolar and psychotic symptoms, as well as stress, sleep and concentration. COH-FIT Items which correlated r ≥ 0.5 with validated companion questionnaires, were initially retained. A P-score factor structure was then identified from these items using exploratory factor analysis (EFA) and confirmatory factor analyses (CFA) on data split into training and validation sets. Consistency of results across languages, gender and age was assessed. Results: From >150,000 adult responses by May 6th, 2022, a subset of 22,456 completed both COH-FIT items and validated questionnaires. Concurrent validity was consistently demonstrated across different languages for COHFIT items. CFA confirmed EFA results of five first-order factors (anxiety, depression, post-traumatic, psychotic, psychophysiologic symptoms) and revealed a single second-order factor P-score, with high internal reliability (ω = 0.95). Factor structure was consistent across age and sex. Conclusions: COH-FIT is a valid instrument to globally measure mental health during infection times. The P-score is a valid measure of multidimensional mental health. Daha fazlası Daha az