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Yayın LuminaURO: a comprehensive Artificial Intelligence Driven Assistant for enhancing urological diagnostics and patient care(Hayat Sağlık ve Sosyal Hizmetler Vakfı, 2025-05-29) Soylu, Tuncay; Topçu, İbrahim; Karaman, Muhammet İhsan; Tuzcu, Esra Melis; Kınık, Abdullah Harun; Güneren, Mustafa Sacit; Salman, Zeynep; Demir, Perihan; Beyzanur, KaçAim: This study aims to develop and validate LuminaURO, a Retrieval-Augmented Generation (RAG)-based AI Assistant specifically designed for urological healthcare, addressing the limitations of conventional Large Language Models (LLMs) in healthcare applications. Methods: We developed LuminaURO using a specialized repository of urological documents and implemented a novel pooling methodology to search multilingual documents and aggregate information for response generation. The system was evaluated using multiple similarity algorithms (OESM, Spacy, T5, and BERTScore) and expert assessment by urologists (n=3). Results: LuminaURO generates responses within 8-15 seconds from multilingual documents and enhances user interaction by providing two contextually relevant follow-up questions per query. The architecture demonstrates significant improvements in search latency, memory requirements, and similarity metrics compared to state-of-the-art approaches. Validation shows similarity scores of 0.6756, 0.7206, 0.9296, 0.9223, and 0.9183 for English responses, and 0.6686, 0.7166, 0.8119, 0.9220, 0.9315, and 0.9086 for Turkish responses. Expert evaluation by urologists revealed similarity scores of 0.9444 and 0.9408 for English and Turkish responses, respectively. Conclusion: LuminaURO successfully addresses the limitations of conventional LLM implementations in healthcare by utilizing specialized urological documents and our innovative pooling methodology for multilanguage document processing. The high similarity scores across multiple evaluation metrics and strong expert validation confirm the system’s effectiveness in providing accurate and relevant urological information. Future research will focus on expanding this approach to other medical specialties, with the ultimate goal of developing LuminaHealth, a comprehensive healthcare assistant covering all medical domains.Yayın Determinants of Bitcoin price movements(Suat Teker, 2024-07-30) Teker, Dilek; Teker, Suat; Demirel, EsinPurpose- Investors want to include Bitcoin in their portfolios due to its high returns. However, high returns also come with high risks. For this reason, the volatility prediction of Bitcoin prices is the focus of attention of investors. Because Bitcoin's volatility is used as an important input in portfolio selection and risk management. This means that the models to be used in predicting Bitcoin volatility increases the importance of performance. In this research; A comparative examination of the models applied for Bitcoin shows an effective performance in volatility prediction. It is very important for evaluation. The aim of this study is to model Bitcoin price returns and to examine future return predictions and return directions using historical Bitcoin prices. Methodology- Many models have been used in studies on financial instruments and price predictions. Models such as linear and nonlinear regression, Random Walk Model, GARCH and ARIMA fall into this category. Nonlinear econometric models such as ARCH and GARCH are used for financial time series with variable volatility. These models assume that the variance is not constant. In this study, first Bitcoin price returns for the period between January 2020 and December 2023 will be modeled with the GARCH model, and then the ARCH-GARCH models will be used for future prediction of returns for the period between January 2024 and June 2024. Finally, the actual values will be compared with the forecasted values. In other words, the primary aim of this study is to use the daily Bitcoin closing price between May 2020 and December 2023 to estimate the returns for the periods of 2024 and compare it with the actual returns. Findings- The analysis reveals that GARCH Model results showed that in the mean and variance equations, it is seen that all variables are except intercept of the mean equation significant according to the error level of 0.05. Namely, the reaction and persistence parameters are significant accourding to 0.05 in the variance equation. Both the coefficient of the reaction parameter and the coefficient of the persistent parameter are higher than zero (positive). Also, the coefficient of the reaction parameter plus the coefficient of the persistent parameter approximately equals 0.72. That is, it is lower than 1 and higher than zero (positive). The level of persistence is not too high. So, we do not think about non-stationary variance in the model. Reaction parameter’s coefficient is 0.13. And persistence parameter’s coefficient is 0.58. As we can see, persistent parameter is much higher than reaction parameter. That is, when there is a new shock that creates the persistent parameter, that shock will be in effect for a long time, it will not disappear immediately. That is, a significant part of the shock that occurs in one period flows into the next period. After determining the appropriate mean and variance models, a forecast is made using Automatic ARIMA forecasting for BITCOIN return forecasting. This forecast is made for the first five months of 2024, without adding the actual values of the first five months of 2024 to the data. The program ranks the most appropriate model. The program chose GARCH(3,3) as the most appropriate model in "bitcoin return prediction". Conclusion- The results of the test applied in the study can be summarized that the unit root test results showed that it was necessary to work with return series. GARCH(1,1) model results show when there is a new shock that creates the persistent parameter, that shock will be in effect for a long time, it will not disappear immediately. That is, a significant part of the shock that occurs in one period flows into the next period. According to GARCH automatic forecasting results, the best GARCH model that models Bitcoin return is the GARCH(3,3) model. According to these model results, although the slopes of the actual and forecasted return series move in the same direction, the model remains weak for forecasting. In future studies, it may be recommended to estimate Bitcoin returns with non-linear models.Yayın Healthy lifestyle behaviors of university students: the role of sense of coherence and family health climate(Dokuz Eylul University, 2025-01-31) Cerrahoğlu, Ece; Ünver, Buket; Ülkümen, İpekPurpose: This study aims to examine the predictive role of individual sense of coherence, family sense of coherence and family health climate variables on university students' healthy lifestyle behaviors. Material and Methods: The sample of the study consisted of 371 university students aged 18-25. Sociodemographic Information Form, Healthy Lifestyle Behaviors Scale, Sense of Coherence Scale, Family Sense of Coherence Scale, Family Health Climate Scale were applied to the participants in order to collect the research data. Correlation analysis, independent two-sample t-test, one-way ANOVA test and multiple linear regression analysis were used to analyze the data. Results: According to the results of correlation analysis, a positive relationship was found between healthy lifestyle behaviors and individual sense of coherence, family sense of coherence and family health climate (p<.05). As a result of the multiple linear hierarchical regression analysis, after controlling for the sex variable, individual sense of coherence and family health climate variables significantly predicted healthy lifestyle behaviors (p<.05), while family sense of coherence had no significant predictive role on healthy lifestyle behaviors (p>.05). Conclusion: The findings show that individual sense of coherence, family sense of coherence and family health climate variables are essential on university students' healthy lifestyle behaviors. The sense of coherence provides significant protection in adopting health behaviors that will determine future health and well-being. Similarly, increasing healthy living practices within the family is of great importance for young people to adopt healthy lifestyle behaviors.Yayın Unpacking the discursive construction of heirloom seeds: discourses, contests, connections(Bursa Uludağ University, 2024-08-31) Pandır, Müzeyyen; Erol, MaralThe 2006 Turkish Seed Law prohibited the selling of uncertified heirloom seeds, triggering heated debates on and around seeds. This paper examines the construction of discourses on heirloom seeds in Türkiye, focusing on the arguments of the key social actors in the field with a view to understand how knowledge production is taking place on seed. Conducting interviews with key state and non-state actors and analyzing their published documents related to heirloom seed through discourse-historical approach, we examined the argumentative perspectives shaping the discourse on seed. The results revealed a discursive dichotomy constructed between "heirloom seed" and "certified hybrid seeds." In particular, built on commercial and food security concerns, the state discourse frames heirloom seeds as low-yield and unable to feed the nation in comparison to certified hybrid seeds, whereas non-state discourse using the perspectives of agrobiodiversity and farmers’ sovereignty construct heirloom seeds with superior features, qualifying them as compatible with biodiversity and the current global and regional economic, environmental and climate problems. The study concludes that different perspectives and interests produced contradictory knowledge about seed (hence food) and caused different realities to exist simultaneously within this knowledge.Yayın Export potential of Turkish SMEs(Suat Teker, 2024-07-30) Teker, Suat; Teker, Dilek; Orman, IrmakPurpose- Digital channels are gaining more and more share from trade and commerce, especially after Covid 19 pandemic. People have adopted to online buying and marketplaces became important retailing tools for manufacturers. E-commerce is rising not only in closed commercial areas but also across different countries, even continents with developments in cross-border e-commerce. Governments, global digital platforms, consumer habits are creating and supporting the demand of buying online from anywhere and numbers are showing that this creates an opportunity for Turkish businesses to become exporters. This study aims to highlight the potential for small and medium sized businesses in Turkey to become exporters. Methodology- The study examines historical export growth data of Turkey in detail using secondary data. The historical data is used to make a projection for future and highlight the potential of growth for Turkish SMEs. Current marketplace platforms’ business models are also examined and carefully analyzed to present an understanding of the potential business models. Findings- The numbers are showing that Turkish exports are growing in Europe and USA. Capex heavy industries have the highest share among the exports but e-commerce is also growing. Some industries like textile, jewellry and small appliences has a higher growth potential withing cross border e-commerce. Conclusion- Adoption to online retail is getting higher and higher. More people are buying from online marketplaces and the origin of the transaction is losing its importance with one-day deliveries. It is important to open shops not only physical but also on different platforms. It is easier for business owners to sell across the world and become exporters. By having international customers, businesses distribute regional risks and also become financially stronger. It is important for Turkish SMEs to understand their risks and seek international growth opportunities, such as doing exports. Turkey’s unique geographical location is a very important asset but Turkish businesses should keep in mind that all international producers are now seeking opportunities to create through online platforms.Yayın Governance, institutions, and economic performance: a comparative study of Singapore and South Sudan(Uluslararası İlişkiler Çalışmaları Derneği, 2024-12-31) Parlak, Fatmanur; Aktaş, AlperenThe ongoing debate between democratic and nondemocratic systems has gained significant attention in contemporary political discourse. With the rise of authoritarian regimes, the long-standing assumption that democratic principles are prerequisites for economic development has been increasingly challenged. While some authoritarian regimes, such as China and Singapore, have demonstrated notable economic successes, others, like South Sudan, face persistent economic struggles. This divergence raises critical questions about the relationship between governance systems and economic outcomes. This study aims to address the following research question: How do governance structures, institutional capacities, and historical contexts influence economic development in authoritarian regimes? By employing the Most Similar Systems Design (MSSD), the study compares two contrasting authoritarian regimes: Singapore, an economically successful case, and South Sudan, an economically struggling one. The research incorporates a structural-historical approach to examine the factors that differentiate their economic trajectories, such as institutional efficiency, historical legacy, and policy decisions. The findings of this study contribute to the broader literature on authoritarianism and development by offering a nuanced understanding of how governance systems shape economic performance. In doing so, it challenges simplistic assumptions about authoritarian governance and highlights the complexities underlying economic success and failure.Yayın Public service announcements about migrants: strategic constructions to reduce prejudice(Anadolu Üniversitesi, 2025-06-30) Pandır, MüzeyyenIn countries with large refugee and migrant populations, it is crucial to build good relations between the newcomers and the host communities. One method of increasing social acceptance and reducing prejudice is using media-based information and awareness-raising activities. !is study examines "ve public service announcement (PSA) "lms prepared by the Turkish Presidency of Migration Management between the years 2017-2021 to increase the social acceptance of migrants, and discusses their potential to reduce prejudice. !e PSAs are examined using a visual content analysis method focusing on the migrant pro"le, narrative structure, language and tone, emphasis on di#erence or similarity, representation of stereotypes, and narrator. !ree main "ndings emerged from the study: Firstly, the PSAs feature a theme of “Great Türkiye”, which emphasizes the greatness of Turkish history and assigns a responsibility to Turkish people to protect those in need, ultimately constructing a superiority over migrants. Secondly, PSAs present migrants in an ambivalent way as capable people contributing to the Turkish economy (visual) and as people in need of help (narrative). !irdly, PSAs use emotional language to deliver messages of understanding and benevolence. Overall, the study argues that PSAs strategically construct Turks as superior and portray migrants as ambivalent to reduce the perception of migrants as a competitive threat to Turks and with an emotional language they make the didactic messages seem less oppressive and patronizing. While these strategies may promote acceptance, their long-term impact is questionable if they are not supported by the teaching of values such as equality and respect.Yayın Effects of early psychological trauma on limbic system structure and function(Psikiyatride Güncel Yaklaşımlar, 2024-12-25) Kılıç, Bengü Sare Sevda Pelin; Saltoğlu, Seren; Erdoğdu, EmelThis paper aims to review the subtypes of childhood trauma and its effects on brain structures and function, especially the hippocampus and amygdala within the limbic system, in the context of clinical psychology. For this purpose, original articles published between 1996 and 2024 were systematically searched in major databases such as PubMed, PsycArticles, Web of Science, and Google Scholar using keywords such as early childhood trauma, psychological trauma, limbic system, hippocampus, amygdala, and neuroimaging. The articles were initially screened based on their titles, and those meeting the search criteria, including study population, investigated brain regions, and types of traumas, were further assessed for relevance. Ultimately, 136 articles were selected and discussed in this review. Trauma experiences in early life can have a significantly negative influence on a person's psychological health by causing neurodevelopmental impairments, especially in the limbic system. While it is understood that trauma influences how individuals think, behave, and feel, the results of neuroimaging studies reveal variations in the amygdala and hippocampus based on different trauma subtypes. These changes merit deeper investigation in future research to fully understand the reasons behind the diverse findings in existing literature.Yayın Ageism and glass ceiling: barriers to advancement for women in Turkish banking(Suat Teker, 2024-07-30) Dönmez, Sena; Tuncay Çelikel, AslıPurpose- The Turkish banking industry is known for its dynamism, where customer issues demand swift resolution, decisions must be made expeditiously, and employees are persistently pressured to meet targets. This engenders a highly stressful and demanding work environment. This paper examines the role of ageism in this industry, emphasising how gender and age-related biases intensify the “glass ceiling” as a chronic syndrome for employees. The objective of the research is to comprehend the impact of these biases on women across different age groups. Methodology- In-depth interviews were conducted with 20 female banking employees in Istanbul, Turkey. The participants included managers and branch employees from 16 different banks. A convenient sampling method was employed, and participants were invited to respond to open-ended questions regarding their experiences and motivations. Findings- The banking sector is characterised by a high level of stress, tight deadlines and the pressure to achieve key performance indicators (KPIs), which can have a significant impact on the well-being of women employees across all age groups. The study revealed a generational divide in motivations and expectations. Younger women prioritised favourable work conditions and salary, while senior women expressed a desire for early retirement due to burnout. Despite this, women of all age groups articulated a desire for career advancement and recognition, underscoring the pivotal role of managerial support and transparent expectations for future success. While extrinsic rewards remained a primary motivator, intrinsic rewards also played a role. Additionally, generational differences in expectations regarding motivation were observed. Conclusion- The dissolution of the glass ceiling necessitates the creation of an environment wherein individuals from disparate generational cohorts are able to provide mutual support, and age-based discriminatory practices are reduced. The acknowledgement and remuneration of employees’ competencies and expertise, in conjunction with the promotion of collaborative endeavours, can facilitate the development of a more equitable and nurturing work environment.Yayın An innovative approach for higher education(Suat Teker, 2024-07-30) Eşkinat, Ali; Teker, SuatPurpose- The purpose of this study is to reflect the position of higher education institutions facing to adapt their strategies to the competitive priorities of the digital transformation era. This paper intends to clarify the new needs and demands of the prospective college students and the required response of universities to stay competitive in the new atmosphere. For this reason, this paper advocates “An Innovative Approach for Higher Education” model for the contemporary university of the new age. Methodology-. The study employs a literature review aiming to reflect the new needs and conditions in the higher education system based on selected topics. A comparative analysis of the needs of higher education institutions against the demands of college students and employers of the world of 2020s was considered. The aim was to analyze the required actions of the universities in the competitive environment concerning demands of the prospective college students including non-educational services and examine the potential for a model of An Innovative Approach for Higher Education. Findings-. The analysis reveals that higher education institutions should adapt themselves to the expectations of new student generations and design their strategies accordingly. Notably, it is clearly seen that the universities have not only be digitalized in their conventional noneducational services but also be ready to supply the demands and conditions of the competition in the digital transformation era. As a matter of the fact, over the Covid-19 crisis most universities keep increasing the use of hybrid model in all disciplines in their education system forced by the market demand. Furthermore, new concepts like industry 5.0 and Society 5.0 provide a basis for the University 5.0 model in parallel to the expectations of the new student generations. Under these circumstances, the results reveal that contemporary universities of this age should concentrate on such topics as understanding Generation Z’s perspective on embracing digital technologies, academic excellence, effective digital transformation in non-educational services and supplying employers’ demands to build a model of An Innovative Approach for Higher Education. Conclusion-. Findings may be concluded that students of digital age extend minor interest in conventional non-educational facilities. Indeed, their priorities have changed in parallel to technological advantages of digital transformation era and their value expectation from undergraduate education towards their career. As a matter of fact, the Covid-19 period brought a serious momentum towards a digital transformation of universities. For this reason, it may be argued that there may be no need for usual conventional non-educational components, and related elements for higher education in the near future. Instead, a significant need for a clear perception to meet the expectations of college students and prospected employers reflecting the new conditions of 21st Century is valid. For this reason, universities should rethink and redesign their structures. Indeed, blended learning in traditional universities and inevitable growth of digital higher education institutions named as University 5.0 will be seen after 2030s.
