DSpace Arşivi :: Ana Sayfa

İstanbul Gelişim Üniversitesi Kurumsal Açık Erişim Arşivi

DSpace@Gelişim, İstanbul Gelişim Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.

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Scopus Yayınları

TR-Dizin Yayınları

PubMed Yayınları

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Güncel Gönderiler

Flavor Engineering: Crafting the Perfect Taste
(Springer Science+Business Media, 2025) Doğan, Murat; Tainsa, Marwa; Tekiner, İsmail Hakkı; Tabak, Tolgahan
Flavor engineering is a discipline that aims to explore the scientific and artistic dimensions of taste by combining traditional food and beverage production processes with innovative biotechnological tools. Working in integration with microbiology and biochemistry, it discovers the effect of microorganisms on flavor development and increases flavor through biochemical changes. It also manages flavor profiles using biotechnological tools such as fermentation, enzymes, and genetic engineering. It develops innovative products based on scientific data and considers consumer preferences. It carries out exemplary studies in flavor engineering by collaborating with leading food and beverage companies in industrial applications. It also identifies new opportunities and challenges in the industry by analyzing market trends and future projections. This discipline enables flavor optimization through scientific and technological methods in the food and beverage industry, essential in meeting future consumer demands. In addition to laboratory studies and market research for developing new flavors and products, technologies that analyze and manipulate taste and aroma profiles are also important. This chapter aims to review the flavor engineering aspects to craft the perfect taste.
The mediating role of regulatory emotional self-efficacy in the link between perceived stress and suicide probability among police officers in Türkiye
(Routledge, 2025) Tansel, Bülent; Padır, Mehmet Ali; Yıldırım, Murat
This study examined the mediating role of regulatory emotional self-efficacy in the association between perceived stress and suicide probability. Data were collected from 855 Turkish police officers (85.8% men; M = 35.68, SD = 8.83) through an online selfreport survey. Results indicated that perceived stress had a significant positive direct effect on suicide probability and a significant negative impact on regulatory emotional self-efficacy. Regulatory emotional self-efficacy was found to have a significant negative direct effect on suicide probability. Moreover, regulatory emotional self-efficacy partially mediated the association between perceived stress and suicide probability. These findings suggest that enhancing police officers’ regulatory emotional self-efficacy can buffer the impact of perceived stress and reduce suicidal tendencies.
Gronwall inequalities for normalized fractional integrals within exponential and Mittag-Leffler kernels with applications
(University of Nis, 2025) Abdeljawad, Thabet; Al-Refai, Mohammed
Gronwall inequalities are common tools in studying differential and integral equations analytically. Existence, uniqueness and stability results can be obtained using these inequalities. In this paper, we provide new versions of the Gronwall inequality to the normalized fractional integrals with exponential and Mittag-Leffler kernels. The obtained inequalities are used to establish existence and uniqueness results to the fractional Cauchy problem with the normalized derivative of Mittag-Leffler kernel. Comparison principles are derived based on an estimate of the normalized derivative of a function at its extreme points. These comparison principles are then used to obtain a pre-norm estimates of solutions for related linear fractional differential equations. Two examples are presented to illustrate the efficiency of the obtained results. Further, a numerical example is studied to illustrate the solutions of a non-homogeneous normalized system in the Mittag-Leffler kernel case.
A model on leader-member exchange, psychological empowerment and teamwork in esports teams
(Frontiers Media SA, 2025) Keçeci, Orçun; Talaghir, Laurentiu-Gabriel; Çelik, Veli Onur; Mihaela Iconomescu, Teodora; Koç, Mustafa Can; Manolache, Gabriel Marian
Purpose: The aim of this research is to explore how leader-member exchange (LMX) affects teamwork through the mediation of psychological empowerment and discusses the interaction between the concepts within the framework of a relational model. Unfortunately, the previous related studies in the literature are limited to the examination of paired relationships between concepts and these concepts have not yet been sufficiently dealt with in relation to esports contexts. Therefore, the present study aims to fill this gap by collecting data from various sources. Methods: The data of the study, which was conducted with 804 professional esports players from Türkiye, the USA and South Korea who were selected by employing the conventional sampling method, were collected via an online survey and analyzed through structural equation modeling. Results: The findings revealed meaningful effects of leader-member exchange on teamwork and this effect was partially mediated by psychological empowerment. Conclusion: These findings are consistent with the Social Exchange Theory, Inputs-Process-Outcomes Model and Positive Organizational Behavior Theory and account for the relationship between leader quality and team performance. The study also contributes to the literature in regards to esports leadership and offers practical suggestions to team coaches and directors.
Intellectual Structure of Unemployment Studies: A Bibliometric Analysis
(IGI Global, 2025) Oğuz, Enes Cengiz; Elkoca, Yusuf; Aybar, Sibel; Gyasi, Evans Akwasi
Unemployment remains a critical issue for policymakers and economists, shaped by dynamic and interconnected factors. This study uses bibliometric analysis of 2,504 papers to explore unemployment determinants, highlighting an overlooked link between technological advancements and unemployment. While prior research emphasizes macroeconomic factors and labor market institutions, it underestimates the disruptive impact of technologies like automation, AI, and ICT. These innovations, while boosting productivity and economic growth, also contribute to job displacement, reshaping global labor markets. To mitigate these effects, a balanced approach is needed, including investment in high-skill jobs, retraining programs, and regulatory frameworks. Strategic policy interventions are crucial to ensure inclusive economic growth amid technological disruption. This paper offers valuable insights for policymakers and business leaders on addressing unemployment’s multifaceted nature and fostering sustainable development.