Lisansüstü Eğitim Enstitüsü Diğer Yayınlar Koleksiyonu

Bu koleksiyon için kalıcı URI

https://hdl.handle.net/11729/6359

Listeleniyor 1 - 20 / 45

Grammar or crammer? the role of morphology in distinguishing orthographically similar but semantically unrelated words
(Institute of Electrical and Electronics Engineers Inc., 2025) Ercan, Gökhan; Yıldız, Olcay Taner
We show that n-gram-based distributional models fail to distinguish unrelated words due to the noise in semantic spaces. This issue remains hidden in conventional benchmarks but becomes more pronounced when orthographic similarity is high. To highlight this problem, we introduce OSimUnr, a dataset of nearly one million English and Turkish word-pairs that are orthographically similar but semantically unrelated (e.g., grammar - crammer). These pairs are generated through a graph-based WordNet approach and morphological resources. We define two evaluation tasks - unrelatedness identification and relatedness classification - to test semantic models. Our experiments reveal that FastText, with default n-gram segmentation, performs poorly (below 5% accuracy) in identifying unrelated words. However, morphological segmentation overcomes this issue, boosting accuracy to 68% (English) and 71% (Turkish) without compromising performance on standard benchmarks (RareWords, MTurk771, MEN, AnlamVer). Furthermore, our results suggest that even state-of-the-art LLMs, including Llama 3.3 and GPT-4o-mini, may exhibit noise in their semantic spaces, particularly in highly synthetic languages such as Turkish. To ensure dataset quality, we leverage WordNet, MorphoLex, and NLTK, covering fully derivational morphology supporting atomic roots (e.g., '-co_here+ance+y' for 'coherency'), with 405 affixes in Turkish and 467 in English.
Exploring the impact of Flash technique on test anxiety among adolescents
(SAGE Publications Ltd, 2025-07) Çitil Akyol, Canan; İnci İzmir, Sevim Berrin
This study aims to investigate the specific effects of Flash Technique (FT) on adolescents with test anxiety. This follow-up study consists of 38 adolescents, 14–17 years of age (M = 15.39, SD = 1.13). Pre-post assessments were conducted using the Test Anxiety Inventory (TAI), Scale of Attitudes Negatively Affecting the Performance I/Test (POET), and Beck Anxiety Inventory (BAI) at baseline, at the end of the 4thand 12thweeks of therapy. The FT was applied for 12 weeks, with one weekly session as an intervention. As a result of the therapy process, the baseline means of total BAI scores decreased from 25.26 to 2.18; the baseline means of TAI decreased from 149.79 to 39.13, and the baseline mean of POET decreased from 298.47 to 73.84 at the end of the 12th week of therapy. Also, the baseline means of SUD scores decreased from 9.42 to zero at the end of the 12th week of treatment. All the adolescents showed complete improvement after the 12th week of the FT. The study findings showed that the test anxiety symptoms significantly decreased with the treatment of the FT. FT can be an effective intervention for test anxiety in adolescents.
Turkish validity and reliability study of the childhood illness attitude scale
(Routledge, 2025-03) Aktan, Zekeriya Deniz; İnci İzmir, Sevim Berrin; Ünlü, Beyza; Yılmaz Kahraman, İpek Su
Severe forms of health anxiety cause serious dysfunction in people’s lives. Childhood Illness Attitude Scales (CIAS) is an assessment tool used to evaluate childhood health anxiety yet has not been validated for use in Turkey. The study aimed to examine the psychometric properties and factor structure of the Turkish version of the CIAS (CIAS-TR). The scale was administered to 306 children aged between 8 and 15 years. In addition to the CIAS-TR, participants were asked to complete the Screen for Child Anxiety-Related Emotional Disorders (SCARED) and the Pediatric Quality of Life Inventory (PedsQL). To measure test-retest reliability, CIAS-TR was completed by participants 15 days later. Results demonstrated good psychometric properties with high internal consistency and test-retest reliability. A positive correlation with SCARED and a negative correlation with PedsQL. Results from Confirmatory Factor Analysis suggested that a four-factor model best fit the data. The findings of the study indicate that the Turkish adaptation of the CIAS is an appropriate tool for assessing health anxiety in children.
Assessing ChatGPT's accuracy in dyslexia inquiry
(Institute of Electrical and Electronics Engineers Inc., 2024) Eroğlu, Günet; Harb, Mhd Raja Abou
Dyslexia poses challenges in accessing reliable information, crucial for affected individuals and their families. Leveraging chatbot technology offers promise in this regard. This study evaluates the OpenAI Assistant's precision in addressing dyslexia-related inquiries. Three hundred questions commonly posed by parents were categorized and presented to the Assistant. Expert evaluation of responses, graded on accuracy and completeness, yielded consistently high scores (median=5). Descriptive questions scored higher (average=4.9568) than yes/no questions (average=4.8957), indicating potential response challenges. Statistical analysis highlighted the significance of question specificity in response quality. Despite occasional difficulties, the Assistant demonstrated adaptability and reliability in providing accurate dyslexia-related information.
Scenes from the mind of an artist (M Train)
(Bentham Science Publishers, 2023-11-12) Özdem, Gökçe
Patti Smith's M Train resembles a mental train that stops at any station, at any time interval. With ambition and inspiration, Smith takes the reader on a journey between dreams and reality, past and present, books and country. Smith's whole life can be considered a work of art. She is an unconventional artist who reveals herself in her relation to space. In an intertwined experience of time and space, we find Smith reminiscing on life, loss, and pains of creation. Smith's analogy of a clock with no hands refers to a frozen time, a memory where the past and the present coexist. This memory also contains the ties that a person establishes with their physical environment. The subjectivity of experience creates differences in the perception of a space. But how is it possible to resist time in our age of speed? This is what Smith presents to her readers: an infinite present. Smith's memory resists its loss, just as architecture resists time. Architecture witnesses personal and social tragedies and freezes them in time. In this sense, architecture turns into a memory remnant, a trace, and survives by creating a bridge between the past, present, and even the future. Smith's experience of the past in the present also makes it possible to interpret the relationship between architecture and experiential time. In this context, architecture reveals memory space and becomes an important factor in the reproduction of memory. Moreover, it can help revive and maintain memory by constructing new forms of expression. In this regard, personal and social memory emerges as a subject that should be emphasized in architectural research.
TURSpider: a Turkish Text-to-SQL dataset and LLM-based study
(Institute of Electrical and Electronics Engineers Inc., 2024-11-25) Kanburoğlu, Ali Buğra; Tek, Faik Boray
This paper introduces TURSpider, a novel Turkish Text-to-SQL dataset developed through human translation of the widely used Spider dataset, aimed at addressing the current lack of complex, cross-domain SQL datasets for the Turkish language. TURSpider incorporates a wide range of query difficulties, including nested queries, to create a comprehensive benchmark for Turkish Text-to-SQL tasks. The dataset enables cross-language comparison and significantly enhances the training and evaluation of large language models (LLMs) in generating SQL queries from Turkish natural language inputs. We fine-tuned several Turkish-supported LLMs on TURSpider and evaluated their performance in comparison to state-of-the-art models like GPT-3.5 Turbo and GPT-4. Our results show that fine-tuned Turkish LLMs demonstrate competitive performance, with one model even surpassing GPT-based models on execution accuracy. We also apply the Chain-of-Feedback (CoF) methodology to further improve model performance, demonstrating its effectiveness across multiple LLMs. This work provides a valuable resource for Turkish NLP and addresses specific challenges in developing accurate Text-to-SQL models for low-resource languages.
The mediating role of SOC and FSOC on parental stress and sleep quality of parents
(John Wiley & Sons Ltd, 2024-08) Kurukütük, Günsu; Ünver, Buket; Özgür Polat, Pelin
[No abstract available]
Emotion regulation, smoking habits, and addiction among university students in Turkiye
(John Wiley & Sons Ltd, 2024-08) Erkol, Ecem; İçer, Yunus; Çam Çelikel, Feryal; Akçınar, Berna
[No abstract available]
Causal links between patents and economic growth: empirical evidence from OECD countries
(Universidade Nove de Julho-UNINOVE, 2024-08) Özkan Yıldız, Öznur; Görkey, Selda
Objective of the Study: This paper empirically investigates the reciprocal relationship and causality between patents and economic growth. Methodology/Approach: Utilizing the Generalized Method of Moments (GMM) Panel Vector Autoregression (PVAR) and panel VAR-Granger Causality frameworks, the study concentrates on Organisation for Economic Co-operation and Development (OECD) economies where a high fraction of global innovative activities take place. Originality/Relevance: The relationship and causality between patents and economic growth are investigated and evaluated by distinguishing the former variable into patent applications and grants. Main Results: The findings from the GMM panel VAR approach indicate that patent applications and grants significantly affect economic growth, whereas economic activities do not influence patent-related variables. The estimations from the panel VAR-Granger approach confirm these findings by presenting a unidirectional causality from patent applications and grants to economic growth. The impulse-response functions (IRFs) exhibit parallel findings, and further checks validate the stability of the findings obtained. The outcomes of this study point out two crucial implications. First, the impacts of patent applications and grants affect economic growth similarly while the impact of patent grants lasts longer. Second, while patents cause higher economic activity, the latter does not induce innovative activity through patents in the OECD. Theoretical/Methodological Contributions: It would be useful to conduct separate analyses for a selected product, sector, or country by including research and development (R&D) expenditures for different periods, country groups, and analysis methods. Social/Management Contributions: Countries should prioritize the establishment of an effective patent management system that will increase the pace of innovation and the implementation of incentive policies for the development of high-value-added technology products.
Transforming tourism experience: AI-based smart travel platform
(Association for Computing Machinery, 2023) Yöndem, Meltem Turhan; Özçelik, Şuayb Talha; Caetano, Inés; Figueiredo, José; Alves, Patrícia; Marreiros, Goreti; Bahtiyar, Hüseyin; Yüksel, Eda; Perales, Fernando
In this paper, we propose the development of a novel personalized tourism platform incorporating artificial intelligence (AI) and augmented reality (AR) technologies to enhance the smart tourism experience. The platform utilizes various data sources, including travel history, user activity, and personality assessments, combined with machine learning algorithms to generate tailored travel recommendations for individual users. We implemented fundamental requirements for the platform: secure user identification using blockchain technology and provision of personalized services based on user interests and preferences. By addressing these requirements, the platform aims to increase tourist satisfaction and improve the efficiency of the tourism industry. In collaboration with various universities and companies, this multinational project aims to create a versatile platform that can seamlessly integrate new smart tourism units, providing an engaging, educational, and enjoyable experience for users.
Efficient estimation of Sigmoid and Tanh activation functions for homomorphically encrypted data using Artificial Neural Networks
(Institute of Electrical and Electronics Engineers Inc., 2024) Harb, Mhd Raja Abou; Çeliktaş, Barış
This paper presents a novel approach to estimating Sigmoid and Tanh activation functions using Artificial Neural Networks (ANN) optimized for homomorphic encryption. The proposed method is compared against second-degree polynomial and Piecewise Linear approximations, demonstrating a minor loss in accuracy while maintaining computational efficiency. Our results suggest that the ANN-based estimator is a viable alternative for secure machine learning models requiring privacypreserving computation.
Multi-task learning on mental disorder detection, sentiment analysis, and emotion detection using social media posts
(Institute of Electrical and Electronics Engineers Inc., 2024) Armah, Courage; Dehkharghani, Rahim
Mental disorders such as suicidal behavior, bipolar disorder, depressive disorders, and anxiety have been diagnosed among the youth recently. Social media platforms such as Reddit have become popular for anonymous posts. People are far more likely to share on these social media platforms what they really feel like in their real lives when they are anonymous. It is thus helpful to extract people's sentiments and feelings from these platforms in training models for mental disorder detection. This study uses multi-task learning techniques to examine the estimation of behaviors and mental states for early mental disease diagnosis. We propose a multi-task system trained on three related tasks: mental disorder detection as the primary task, emotion analysis, and sentiment analysis as auxiliary tasks. We took the SWMH dataset, which included four main different mental disorders already labeled (bipolar, depression, anxiety, and suicide) and offmychest. We then added labels for emotion and sentiment to the dataset. The observed results are comparable to previous studies in the field and demonstrate that deep learning multi-task frameworks can improve the accuracy of related text classification tasks when compared to training them separately as single-task systems.
Innovation diffusion and technology acceptance theory
(CRC Press, 2024-01-01) Akaiso, Emmanuel
Innovation can be defined as the transformation of ideas, goals, visions, and dreams of invention into valuable goods and services for people to exchange for an amount of money. Something everyone on earth must experience is changing, and many people are too afraid to experience this. As a result, they never move ahead in life because they have allowed themselves to be captives of fear, allowing themselves to be unable to alter their circumstances. After the difficult experience of the past twenty-four months due to COVID-19, the eyes of everyone have been opened to how important change, adaptability, and flexibility are. Looking back, we can see that change is particularly important for everyone. That is exactly where innovation comes in (Stenberg 2016). To paraphrase Steve Jobs, innovation differentiates a leader from a follower.
Human risk assessment of heavy metals present in four motor park soils in Lagos State, Nigeria
(CRC Press, 2024-01-01) Akaiso, Emmanuel
The belief that heavies metal pollution is only gotten high intense industries is a common perception of people living in rural areas (Brown et al. 2003). In reality, nowadays, roadways and automobiles are considered to be one of the largest sources of heavy metals. Lead (Pb), copper (Cu), and zinc (Zn) are the most common heavy metals produced from automobiles. Small or little amounts of other metals like nickel and cadmium are found to originate from carparks, bus stops, the roadside, and automobile exhaust (Brown et al. 2003).
Inequality of income distribution and hopes for democratic consolidation in Nigeria
(CRC Press, 2024-01-01) Bamigboye, Oluwaseyi Mike
Given the experiences of many countries seemingly stuck between authoritarian and democratic systems, momentary success proved transient and failed to achieve consolidation (Tonta 2016). While factors such as legitimacy crisis, the rise of militant sub-nationalist agitations, ethnoreligious and identity conflicts, corruption, institutional failure, electoral crime and violence, insecurity, injustice, and political apathy pose challenges to the formation of political culture and have been heavily researched, the role of income inequality in the processes of democratic consolidation remains under-researched. This begs the question: Does income inequality expressed in weak economic growth, rising inflation, and high unemployment, especially among young people, have far-reaching implications for the survival of Nigeria’s democratic system? Using this West African country as a case study, the author argues that income inequality threatens democratic consolidation and tends to a regression into an authoritarian regime. The choice of Nigeria is informed by doubts which have repeatedly crystallized into debates on the likelihood of consolidation since its democratic transition in 1999.
Analysis of particulate matter in street dust of middle and eastern parts of Northern Cyprus
(CRC Press, 2024-01-01) Akaiso, Emmanuel
Air pollution is the negative shift and change in the composition of the environment comprising of gaseous components and particulate matter (PM). Particulate matter can either be coarse particles, fine particles, and ultrafine particles; the composition of particulate matter depends on the sources from which it came from (Li et al. 2018). Combustion sources such as traffic emission or residential heating produce carbonaceous particles, they are carbon based as they pull along organic chemicals such as reactive metals and polycyclic aromatic hydrocarbons. Desert dust and mineral dust from agriculture produce inorganic particles. Nitrogen dioxide (NO2), nitric oxide (NO), ozone (O3), sulfur dioxide (SO2), volatile organic compounds, and carbon monoxide (CO) are toxic gaseous pollutants that adds to the formation of particle from the complex atmospheric photochemical reactions, they are called secondary particles (Bourdrel et al. 2017).
Benliğin ayrımlaşması ve bilişsel esnekliğin nevrotizm ile genel erteleme davranışı arasındaki sıralı aracılık etkisi: kesitsel bir çalışma
(Türkiye Klinikleri Yayınevi, 2024-09-18) Ünver, Buket; Anlar, Aslıhan
Amaç: Bu çalışmanın amacı, nevrotizmin genel erteleme davranışı ile ilişkisinde benliğin ayrımlaşması ve bilişsel esnekliğin sıralı aracılık etkisinin incelenmesidir. Gereç ve Yöntemler: Araştırma toplum örnekleminden 18-60 yaş arası (ortalama=31,6; standart sapma=11,2), 590 katılımcıdan (241 kadın, 348 erkek) oluşmaktadır. Araştırmada, kartopu ve uygun örnekleme yöntemleri kullanılmıştır. Veriler, Sosyodemografik Bilgi Formu, İş Stresi Bataryası-Nevrotizm Ölçeği, Erteleme Eğilimleri Ölçeği, Benliğin Ayrımlaşması Ölçeği, Bilişsel Esneklik Envanteri aracılığıyla çevrim içi olarak toplanmıştır. Araştırmada veri analizi için Pearson korelasyon analizi, bağımsız örneklem t-testi, varyans analizi ve sıralı aracılık etki analizleri kullanılmıştır. Bulgular: Araştırma sonuçları erteleme davranışı puanlarının erkeklerde kadınlara; bekârlarda evli olanlara ve çocuk sahibi olmayanların olanlara göre daha fazla olduğunu göstermektedir. Ayrıca 18-25 yaş aralığındaki bireylerin 26-39 yaş ve 40-60 yaş aralığındakilere göre daha fazla erteleme davranışları gösterdikleri bulgulanmıştır. Yapılan korelasyon analizinde, erteleme davranışı ile nevrotizm arasında pozitif yönde ilişki bulunmuştur. Benliğin ayrımlaşması ve bilişsel esneklik ile hem nevrotizm hem de erteleme arasında negatif yönde ilişki olduğu saptanmıştır. Aracı etki analiz sonuçlarında ise nevrotizmin ertelemeyi hem doğrudan hem de dolaylı olarak benliğin ayrımlaşması ile bilişsel esnekliğin sıralı aracılığında yordadığı görülmüştür. Sıralı aracılık analizi, erteleme davranışı söz konusu olduğunda benliğin ayrımlaşmasının ve duygusal düzenlemenin, bilişsel süreçlerin sağlıklı bir şekilde işleyebilmesi için bir ön koşul olduğunu ortaya koymaktadır. Sonuç: Bu çalışmanın bulguları, erteleme davranışına zemin hazırlayan duygusal ve bilişsel faktörlerin anlaşılmasına katkı sağlamaktadır. Bu bulgular, erteleme davranışıyla mücadele eden bireyler için psikoterapi çalışmalarında nevrotizm kişilik özelliklerinin, benliğin ayrımlaşması ve bilişsel esnekliğin ele alınmasının kritik bir öneme sahip olabileceğini ortaya koymaktadır.
Understanding AI adoption at organizations: literature review of TOE framework
(Suat Teker, 2025-07-30) Dönmez, Sena; Tuncay Çelikel, Aslı; Soykut Sarıca, Yeşim Pınar; Develi, Evrim İldem
Purpose- In the contemporary business landscape, we are witnessing the rapid development of Artificial Intelligence (AI), which is fundamentally reshaping organizational practices. These developments mark what can be described as the "Era of AI", a significant milestone in technological history. While AI offers benefits, it also presents critical challenges, particularly concerning its adoption and the adaptation processes within organizations. Despite the swift evolution of AI technologies, research on their practical applications in organizational settings remains scarce and underdeveloped. This gap highlights a promising area for further exploration. In alignment with the literature, it can be argued that organizations with higher AI adoption rates tend to achieve better innovation outcomes, which suggests a need to revisit and potentially expand the Technology-Organization-Environment (TOE) paradigm. Originally developed to explain technological adoption/embracement, the TOE framework may not capture the complexities introduced by AI. This study aims to explore whether an expanded TOE paradigm is necessary to better address the contemporary dynamics of AI adoption. Methodology- This research investigates the historical development and consolidation of AI within organizations, using the TOE paradigm as a foundational theoretical look. The study examines whether the existing TOE model sufficiently explains AI adoption or whether it requires augmentation to remain relevant in the age of generative AI. Findings- Literature review findings indicate that the traditional TOE framework exhibits limitations when applied to AI adoption. To address these gaps, another study was found in the literature that proposes the inclusion of a human factor—transforming the TOE into a TOEH (Technology-Organization-Environment-Human) model. In our research we would like to integrate critical thinking (CT) skills under Human Factor, as organizations increasingly seek employees who can critically assess and effectively utilize outputs from generative AI (GenAI) tools. The ability to make intelligent and ethical decisions in the context of AI is now a vital competency. Conclusion- The proposed TOEH framework offers a more well-rounded approach to discovering AI adoption within organizations. By incorporating the human element, particularly critical thinking skills, organizations can better prepare to embrace AI in an ethical, effective, and innovative manner.
The impact of social media and digital marketing on brand awareness and purchasing behavior of millennials in Istanbul
(Suat Teker, 2025-07-30) Obeido, Nour Alhuda; Teker, Suat
Purpose- This study aims to investigate the impact of social media and digital marketing on brand awareness and purchasing behavior of millennials residing in Istanbul. The research focuses on how digital platforms, particularly social media, influence consumer perceptions, shape buying decisions, and foster brand loyalty among this key demographic. Methodology- A quantitative research approach was utilized, employing a structured online questionnaire distributed among 403 millennials in Istanbul. Data collection was based on validated scales measuring perceived product quality, product perception, brand recall, brand recognition, and purchasing behavior. The data were analyzed using descriptive statistics, correlation, and multiple regression analysis through SPSS version 21 to determine the relationship between brand awareness measures and purchasing behavior. Findings- The results reveal that perceived product quality, product perception, brand recall, and brand recognition all have a significant positive impact on the purchasing behavior of millennials. The analysis showed no significant differences in purchasing behavior according to gender, age, or education. The findings highlight that millennials are highly influenced by digital marketing strategies and social media campaigns, which enhance brand awareness and drive purchase decisions. Conclusion- The research concludes that social media and digital marketing play a critical role in shaping brand awareness and influencing the purchasing decisions of millennials. Brands that focus on effective digital marketing strategies and active social media engagement are more likely to increase customer loyalty and boost sales among this demographic. The study suggests that digital marketers should develop creative and targeted content, collaborate with influencers, and leverage data analytics to further enhance engagement with millennials.
Michel Foucault’nun “Öznel” ve “Yeni” kavramları ışığında “Las Meninas” ve “Narcissus”a bakış
(Işık Üniversitesi Yayınları, 2025-07-25) Karakaya, Deniz
Bu araştırmada, Michel Foucault’nun felsefesinde, özne ve iktidar ilişkileri ekseninde, öznel deneyimin hâkim söylem aracılığıyla kurularak bireyi tanımlaması ve özgürlüğü sınırlandırması olgusu ele alınmıştır. Foucault’nun, insanın, siyasi boyutları ile tarihsel olarak dayatılan kimliklerden sıyrılarak özgürlüğünü geri kazanabilmesi için önerdiği; karşı özneleşme ile yeni söylemler inşa etme ve yeni öznellikler kurma düşüncesi incelenmiştir. Bu bağlamda, resmedildiği çağda bir söylem değişikliğine neden olan, Foucault’nun da hakkında yazdığı Diego Velázquez’in Las Meninas eserinin, Pablo Picasso ve Salvador Dalí tarafından yeniden üretilmeleri, betimsel ve yoruma dayalı bir yaklaşımla çözümlenmiştir. Araştırmada, klasikleşmiş bir sanat eseri olan Las Meninas’ın, yorumlandığı çağın sanat anlayışının söylemi doğrultusunda yeniden kurularak; karşı özneleşmesini ve yeni bir öznellik sürecini nasıl gerçekleştirdiğinin, Foucault’nun felsefesine dayanan teorik çerçevede ilişkilendirilmesi amaçlanmıştır.

Güncel Gönderiler