TR-Dizin İndeksli Yayınlar Koleksiyonu

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Polyvagal theory and interoception-based interventions: approaches to strengthen mental resilience
(Psikiyatride Güncel Yaklaşımlar, 2026) Candaş Demir, Merve Umay; Hasateş, Mahmut Can
Humans survive by establishing healthy bonds, and these bonds provide emotional regulation, especially in the caregiver-infant relationship. Polyvagal Theory suggests that the autonomic nervous system supports survival by assessing environmental and internal safety signals. Interoception plays a crucial role in this process, referring to the ability to sense the body's internal states. In recent years, interoception-based therapies have proven effective in the treatment of psychopathologies, especially post-traumatic stress disorder. Interoceptive-based interventions, such as trauma-informed yoga, can improve individuals who do not respond to traditional treatment by enhancing emotional regulation and body awareness. The aim of this study is to examine the effects of humanto-human relationships on mental health in the digitalized world, within the framework of Polyvagal Theory. In particular, it emphasizes the important role of interoception in the bond we establish with ourselves and its significance in psychotherapy. The study proposes an approach that supports mental health by discussing the therapeutic effects of interoception and the role of these skills in improving communication between individuals. The study also offers suggestions on how interoception-based interventions can be utilized in clinical practice. Such therapies help individuals form healthier bonds with both themselves and others.
An ontology for apiculture practices (Onto4API): towards semantic interoperability and knowledge sharing in the apiculture community
(Ege Tarımsal Araştırma Enstitüsü Müdürlüğü, 2025-12-31) Aydın, Şahin; Okuyan, Samet; Solmaz, Serhat
This study presents the development of Onto4API, a domain ontology designed to support semantic interoperability and structured knowledge sharing in the field of apiculture. The ontology addresses the lack of standardized, machine-interpretable vocabularies that hinder knowledge integration and decision support in traditional beekeeping practices. Developed under the guidance of subject-matter experts from the Türkiye Apiculture Research Institute, Onto4API formalizes key concepts, relationships, and production practices in modern beekeeping. The ontology was built using OWL 2 and RDF/XML syntax, and includes 67 classes, six object properties, and 10 data properties. Following the METHONTOLOGY framework, our approach ensures methodological rigor from specification to implementation and evaluation, combining expert validation, reasoning-based consistency checks, and SPARQL-based functional testing. To demonstrate its practical utility, a web-based educational tool was implemented using ASP.NET MVC and dotNetRDF. This prototype enables users to explore apiculture knowledge through SPARQL-based queries in a guided question-and-answer format. By providing a reusable and extensible semantic framework, Onto4API lays the groundwork for future ontology-driven agricultural systems, including intelligent decision support, educational tools, and interoperable data services in apiculture and beyond.
Ebeveyn tutumları ve çocuk davranış problemleri arasındaki ilişkide ebeveyn mükemmeliyetçiliğinin aracı rolü
(Galenos Publishing House, 2025-11-11) İnce, Merve; Akçınar, Berna; Yılmaz, Simay
Amaç: Bu çalışma, annelerin mükemmeliyetçiliğinin, annelerin ebeveynlik stilleri ile çocukların içselleştirme ve dışsallaştırma davranış problemleri arasındaki ilişkide aracılık rolünü incelemeyi amaçlamaktadır. Gereç ve Yöntem: Örneklem, 3-6 yaş arası çocukları olan 271 anneden oluşmaktadır. Katılımcılardan sosyodemografik bilgi formu, Ebeveyn Tutum Ölçeği, Hacettepe Ruhsal Uyum Ölçeği ve Çok Boyutlu Mükemmeliyetçilik Ölçeğini doldurmaları istenmiş ve veriler çevrimiçi olarak toplanmıştır. Bulgular: Çalışmanın ana hipotezini test etmek için yapılan analiz bulgularına göre demokratik ebeveynlik, içselleştirme (b=-0,117, p<0,05) ve dışsallaştırma (b=-0,076, p<0,05) davranış problemlerini negatif yönde yordamıştır. Bu ilişkilerde annenin kendine yönelik mükemmeliyetçiliği (KYM) ve sosyal olarak belirlenen mükemmeliyetçilik (SBM) aracılık etmemiştir. Otoriter ebeveynlik, içselleştirme (b=0,046, p<0,05) ve dışsallaştırma (b=0,049, p<0,05) davranış problemleriyle pozitif yönde ilişkilendirilmiş ve bu problemler üzerindeki etkilerinde KYM ve SBM aracılık rolü üstlenmemiştir. Buna karşın, aşırı korumacı ve izin verici tutumlar bu davranış problemlerini anlamlı bir şekilde yordamamıştır. Ayrıca, annelerin KYM’nin, aşırı korumacı ve izin verici ebeveynlik tutumları ile içselleştirme ve dışsallaştırma davranış problemleri arasındaki ilişkide aracılık etkisi olmadığı bulunmuş; ancak SBM’nin aşırı koruyucu ebeveyn tutumu ile içselleştirme [b=0,017, standart hata (SH)=0,009, güven aralığı (GA): (0,003, 0,038)] ve dışsallaştırma [b=0,012, SH=0,007, GA: (0,001, 0,029)] davranış problemlerinde ve izin verici ebeveyn tutumu ile içselleştirme davranış problemi [b=0,013, SH=0,008, GA: (0,000, 0,033)] arasında aracılık etkisinde bulunduğu görülmüştür. Sonuç: Bu çalışma, ebeveynlik tutumları ve özelliklerinin çocukların ruh sağlığı üzerindeki önemli rolünü vurgulamakta, ebeveynlerin etkili ve olumlu ebeveynlik yaklaşımlarını benimsemeleri için pratik müdahalelerin gerekliliğini belirtmektedir.
İşbirlikli kablosuz haberleşmede dik frekans bölmeli çoklama OFDM tabanlı öz kaynak tahsisi
Evaluation of password hashing competition finalists: performance, security, compliance mapping, and post-quantum readiness
(Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi, 2025-11-15) Ulutaş, Erdem; Çeliktaş, Barış
Password hashes and key derivation functions (KDFs) are central to authentication and cryptographic security schemes crafted to defend user credentials from brute-force attacks and unauthorized access. Password hashing algorithms, for example PBKDF2, bcrypt, or scrypt, are very popular today, but are lacking in the face of modern hardware acceleration, parallel processing, and advanced cryptanalytic attacks. To contest these shortcomings, the Password Hashing Competition (PHC) was started in 2013 and had 22 candidates for functions for hashing passwords. After thorough evaluation, 9 finalists were selected based on how secure, fast, memory-friendly, flexible, and efficient these functions were. This study evaluates the nine PHC finalists—Argon2, battcrypt, Catena, Lyra2, MAKWA, Parallel, POMELO, Pufferfish, and yescrypt—through survey findings and performance benchmarks. We have evaluated these functions from an architectural standpoint and studied their security features, memory hardness, performance tradeoff, and practical usage. We also compare these finalists with traditional password hashing functions to highlight their advantages and limitations. We also investigate the post-quantum assumption for password hashing – the effectiveness of these functions against quantum assaults, their position in a new cryptography set, and the role of peppering as an additional security measure. In addition, we perform a comprehensive compliance mapping of the PHC finalists against major global standards and regulations such as NIST SP 800-63B, OWASP ASVS, PCI DSS, GDPR, KVKK, and ISO/IEC 27001, highlighting their practical suitability for secure deployment in regulated environments. Finally, we provide usage recommendations for these functions for web authentication, KDFs, and embedded platforms. This paper serves as a reference for researchers, developers, and security engineers, while also introducing a complianceaware, post-quantum-ready framework that bridges cryptographic design with regulatory and deployment needs.
Failure management and analysis of medical devices
(Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi, 2025-11-15) Salman, Farah; Çepni, Selden
Medical device failure management is essential for upholding patient safety and healthcare quality standards. However, existing approaches to analyzing and classifying recalls often lack precision, obstructing the identification of root causes and the implementation of effective mitigation strategies. This study proposes a flowchart to enhance the analysis and classification of medical device recalls, with a specific emphasis on addressing software-related failures. The primary aim is to gather extensive data from the Food and Drug Administration's recall database, encompassing various attributes such as device specifications, recall reasons, severity levels, and manufacturer details. By combining manual review processes with advanced classification techniques, the project aims to develop a vigorous and scalable approach to recall classification. The accuracy and reliability of these techniques will undergo rigorous evaluation, contributing to advancements in recall management practices and regulatory oversight. Through this combined approach, the flowchart ensures that the device undergoes thorough evaluation and risk mitigation measures, thereby minimizing potential risks to patient safety and regulatory compliance. Outcomes include the establishment of an accurate integrated flowchart that enhances the understanding of device safety, facilitates proactive risk mitigation strategies, and improves regulatory compliance. Additionally, study findings will inform the development of engineering standards, quality control processes, and ethical guidelines within the medical device industry, ultimately leading to improved patient safety, environmental sustainability, and economic benefits.
An analysis of enterprise-level cloud transition barriers within the Technology-Organization-Environment (TOE) framework and strategic solution proposals
(Gazi Üniversitesi, 2025-10-31) Çeliktaş, Barış; Birgin, Berat; Tok, Mevlüt Serkan
Enterprise-level transitions to cloud service providers are frequently delayed or disrupted due to the multilayered nature of technical, organizational, and legal barriers. This study classifies these obstacles within the TechnologyOrganization-Environment (TOE) theoretical framework and provides a comprehensive analysis. Methodologically, a triangulated data source approach was adopted, combining systematic literature review, the 2025 Flexera Cloud Report, and Cloud Adoption Framework (CAF) documentation from major providers such as AWS, Azure, and Google Cloud. Findings indicate that technological barriers particularly cryptographic complexity, cost unpredictability, and weak system integration, are the most dominant. These barriers were visually modeled, and the structural interdependencies among five core cryptographic components (key management, secure computation, algorithm selection, access control, and regulatory compliance) were illustrated through a flow diagram. By aligning FinOps and compliance-oriented solution strategies with the TOE framework, the study offers a strategic roadmap for decision-makers and cloud architects planning cloud adoption. It links conceptual models to applied practices, providing structured support for organizations seeking to mature their cloud strategy.
Eco-friendly bacterial cellulose/castor oil hydrogels: physicochemical behavior and biocompatibility
(Sakarya University, 2025-10-27) Işıkçı Koca, Elif; Pınar, Orkun; Yalçın Çapan, Özlem; Çaylı, Gökhan; Kazan, Dilek; Çakır Hatır, Pınar
In the present work, novel thermoresponsive hydrogels were developed from renewable resources, and the influence of bacterial cellulose molar ratio on their chemical structure, thermal properties, swelling behavior, morphology, and biocompatibility was systematically investigated. The hydrogels were fabricated using castor oil, 4,4'-diphenylmethane diisocyanate, bacterial cellulose, Nisopropylacrylamide, and N,N'-Methylenebisacrylamide. Structural and physicochemical characterizations were performed by Fourier-transform infrared spectroscopy, scanning electron microscopy, differential scanning calorimetry, and thermogravimetric analysis. The highest equilibrated swelling degree was achieved as 592.6% at the maximum bacterial cellulose content. SEM images revealed that the formation of spongy architecture is caused by the increase in the bacterial cellulose content. In vitro biocompatibility studies revealed that the hydrogel with the highest bacterial cellulose content exhibited the greatest cytocompatibility, with an IC50 value of 11.16 mg/ml. Overall, the findings demonstrate the successful fabrication of a novel bio-based thermoresponsive hydrogel through an eco-friendly approach, highlighting its potential for diverse biomedical applications.
Farklı rollerde ebeveynleşme ve benlik ayrışması arasındaki ilişkide algılanan yararın aracı rolü
(Klinik Psikoloji Araştırmaları Derneği, 2025-08-25) Ünver, Buket
Bu araştırmanın amacı, farklı rollerde ebeveynleşme ve benliğin ayrışması arasındaki ilişkide algılanan yararın aracı rolünün incelenmesidir. Kurulan model, ebeveyn odaklı ve kardeş odaklı ebeveynleşme olmak üzere iki ayrı modelde test edilmektedir. Çalışmanın örneklemi 18-25 yaş arası, 137 kadın (%54.8) ve 113 erkek (%45.2) olmak üzere toplam 250 kişiden oluşmaktadır. Katılımcılara Demografik Bilgi Formu, Ebeveynleşme Envanteri ve Benliğin Ayrımlaşması Ölçeği sunulmuştur. Verilerin analizinde bağımsız gruplar t-testi, Pearson korelasyon analizi ve aracı etki analizi kullanılmıştır. Elde edilen bulgulara göre kadınlarda benlik ayrışmasının erkeklere göre daha düşük olduğu görülmüştür. Aracı etki analizinde cinsiyet kontrol değişkeni olarak ele alınmış ve ebeveynleşme ile benliğin ayrışması arasında ebeveynleşmeden algılanan yararın aracı rolü bulunmuştur. Bireyin her iki rol için de ebeveynleşme yaşantısı arttıkça bu yaşantıdan algıladığı yarar azalmakta ve algılanan yarar azaldıkça da bireyin benlik ayrışma düzeyinin azaldığı görülmektedir. Bu doğrultuda, ebeveynleşme deneyimleyen kişinin benlik ayrışmasına ilişkin zorlukları erken dönem yaşantılarını yorumlama biçimleriyle ilişkili olabileceği görülmektedir. Özellikle ebeveynleşme deneyimine dair olumlu tutumlar, bireyin ayrışma sürecine katkı sağlayabilir.
AI in architectural education: rethinking studio culture
(Atatürk Üniversitesi, 2025-09-20) Karadağ, Derya
This article examines the pedagogical transformations emerging in architectural education through a conceptual and critical perspective focused on human–AI co-creativity. Co-creativity specifically refers to collaborations between human designers and artificial intelligence, in contrast to broader notions of collaborative creativity. The paper argues that AI functions not merely as a technical instrument, but as a co-creative partner that reshapes studio culture, authorship, and creative work. Drawing on selected studio-based cases, the study explores how AI-supported workflows influence ideation, representation, critique culture, prompt literacy, and ethical reasoning. Thematically, it engages with concepts such as cognitive augmentation and conceptual ambiguity to demonstrate how design pedagogy is evolving in response to intelligent systems. Rather than viewing AI as a generative tool alone, the article positions it as an epistemic and ethical agent that prompts a rethinking of studio environments as cultural and pedagogical spaces. Methodologically, the study adopts a casebased approach, analyzing selected 16 design studios in which AI was integrated into early-stage ideation, feedback sessions, and conceptual development. These cases extent strategies from prompt-driven speculation to hybrid critique practices, revealing a dynamic landscape of experimentation and adaptation. The findings suggest that AI can foster deeper conceptual inquiry, student reflection, and new modalities of authorship and collaboration. Eventually, the study underscores the need for reflexive pedagogical frameworks that integrate AI meaningfully enhancing, rather than displacing, human creativity.
The relationship between conflict management styles used by nurse managers in psychiatric clinics and the stress level of their subordinates
(Kare Publishing, 2025-06-30) Çabuk, Merve; Acuner, Deniz
Objectives: This study aimed to determine the relationship between the opinions of nurses working in psychiatric wards regarding their managers' conflict management styles and their self-perceived stress levels. Methods: This was a descriptive, comparative, and correlational study. The population consisted of 580 nurses working in psychiatric clinics of public and private hospitals in Istanbul, and 199 nurses were included in the sample. The "Personal Information Form," "Rahim Organizational Conflict Inventory–II (ROCI-II) Form A," and "Perceived Stress Scale" were used for data collection. Data were analyzed using frequency and percentage distributions, the Kruskal–Wallis test, Spearman correlation analysis, and the Mann–Whitney U test. Results: The participants’ mean scores on the Conflict Management Scale were as follows: integration subscale 2.50±0.90; obliging subscale 3.03±0.74; dominating subscale 2.92±0.85; avoiding subscale 2.98±0.66; and compromising subscale 2.61±0.83. The mean score of the Perceived Stress Scale was 13.78±4.74. The mean score for the perceived stress subdimension was 4.49±2.04, and for the perceived coping subdimension was 9.30±3.45. A statistically significant, weak positive correlation was found between the perceived stress subdimension and the dominating subscale, while a weak negative correlation was observed with the compromising and integration subdimensions. A weak negative correlation was also found between the perceived coping subdimension and the integration, obliging, and compromising subdimensions. Conclusion: According to the nurses, their managers most frequently use obliging, avoiding, dominating, compromising, and integration styles, respectively, in conflict management. As managers’ use of compromising and integration styles increases, the nurses’ perceived stress levels decrease.
An intrusion detection approach based on the combination of oversampling and undersampling algorithms
(Istanbul University Press, 2023-06-14) Arık, Ahmet Okan; Çavdaroğlu, Gülsüm Çiğdem
The threat of network intrusion has become much more severe due to the increasing network flow. Therefore, network intrusion detection is one of the most concerned areas of network security. As demand for cybersecurity assurance increases, the requirement for intrusion detection systems to meet current threats is also growing. However, network-based intrusion detection systems have several shortcomings due to the structure of the systems, the nature of the network data, and uncertainty related to future data. The imbalanced class problem is also crucial since it significantly negatively affects classification performance. Although high performance has been achieved in deep learning-based methodologies in recent years, machine learning techniques may also provide high performance in network intrusion detection. This study suggests a new intrusion detection system called ROGONG-IDS (Robust Gradient Boosting – Intrusion Detection System) which has a unique two-stage resampling model to solve the imbalanced class problem that produces high accuracy on the UNSW-NB15 dataset using machine learning techniques. ROGONGIDS is based on gradient boosting. The system uses Synthetic Minority Over-Sampling Technique (SMOTE) and NearMiss-1 methods to handle the imbalanced class problem. The proposed model's performance on multi-class classification was tested with the UNSW-NB15, and then its robust structure was validated with the NSL-KDD dataset. ROGONG-IDS reached the highest attack detection rate and F1 score in the literature, with a 97.30% detection rate and 97.65% F1 score using the UNSW-NB15 dataset. ROGONG-IDS provides a robust, efficient intrusion detection system for the UNSW-NB15 dataset, which suffered from imbalanced class distribution. The proposed methodology outperforms state-of-the-art and intrusion detection methods.
Text-to-SQL: a methodical review of challenges and models
(TÜBİTAK, 2024-05-20) Kanburoğlu, Ali Buğra; Tek, Faik Boray
This survey focuses on Text-to-SQL, automated translation of natural language queries into SQL queries. Initially, we describe the problem and its main challenges. Then, by following the PRISMA systematic review methodology, we survey the existing Text-to-SQL review papers in the literature. We apply the same method to extract proposed Text-to-SQL models and classify them with respect to used evaluation metrics and benchmarks. We highlight the accuracies achieved by various models on Text-to-SQL datasets and discuss execution-guided evaluation strategies. We present insights into model training times and implementations of different models. We also explore the availability of Text-to-SQL datasets in non-English languages. Additionally, we focus on large language model (LLM) based approaches for the Text-to-SQL task, where we examine LLM-based studies in the literature and subsequently evaluate the LLMs on the cross-domain Spider dataset. Finally, we conclude with a discussion of future directions for Text-to-SQL research, identifying potential areas of improvement and advancements in this field.
Analyst-aware incident assignment in security operations centers: a multi-factor prioritization and optimization framework
(Uğur Şen, 2025-07-15) Kılınçdemir, Eyüp Can; Çeliktaş, Barış
In this paper, we propose a comprehensive and scalable framework for incident assignment and prioritization in Security Operations Centers (SOCs). The proposed model aims to optimize SOC workflows by addressing key operational challenges such as analyst fatigue, alert overload, and inconsistent incident handling. Our framework evaluates each incident using a multi-factor scoring model that incorporates incident severity, service-level agreement (SLA) urgency, incident type, asset criticality, threat intelligence indicators, frequency of repetition, and a correlation score derived from historical incident data. We formalize this evaluation through a set of mathematical functions that compute a dynamic incident score and derive incident complexity. In parallel, analyst profiles are quantified using Analyst Load Factor (ALF) and Experience Match Factor (EMF), two novel metrics that account for both workload distribution and expertise alignment. The incident–analyst matching process is expressed as a constrained optimization problem, where the final assignment score is computed by balancing incident priority with analyst suitability. This formulation enables automated, real-time assignment of incidents to the most appropriate analysts, while ensuring both operational fairness and triage precision. The model is validated using algorithmic pseudocode, scoring tables, and a simplified case study, which illustrates the realworld applicability and decision logic of the framework in large-scale SOC environments. To validate the framework under real-world conditions, an empirical case study was conducted using 10 attack scenarios from the CICIDS2017 benchmark dataset. Overall, our contributions lie in the formalization of a dual-factor analyst scoring scheme and the integration of contextual incident features into an adaptive, rule-based assignment framework. To further strengthen operational value, future work will explore adaptive weighting mechanisms and integration with real-time SIEM pipelines. Additionally, feedback loops and supervised learning models will be incorporated to continuously refine analyst-incident matching and prioritization.
Seyhan Havzası’nda düşük akımların analizi
(Balıkesir Üniversitesi, 2025-07-15) Baysal, Selman; Yılmaz, Selahattin Utku; Kaçar, Furkan Sencer; Önöz, Bihrat
Bu çalışmada Seyhan Havzası’nda yer alan istasyonlarda düşük akım analizi gerçekleştirilmiştir. Bu doğrultuda kısa, orta ve uzun vadeli kuraklık tespiti için d = 1, 7, 10 ve 15 günlük yıllık ortalama minimum debi değerleri kullanılarak düşük akım frekans analizi yapılmıştır. İki parametreli Log-Normal (LN2), Gamma (G2), Weibull (W2), Üstel (E2), Gumbel (GEV-I), Lojistik (L2) dağılımları ile üç parametreli GEV (GEV-III), Log-Normal (LN3), Pearson Tip III (P3), Log-Pearson Tip III (LP3) ve Genel Lojistik (GL3) dağılımları kullanılarak farklı dönüş aralıklarına sahip düşük akım tahminleri gerçekleştirilmiştir. Kolmogorov-Smirnov (K-S) uygunluk testi ile farklı istatistiksel dağılımların mevcut zaman serilerine uygunluğu tespit edilmiştir. Elde edilen düşük akımlardaki eğimin (trend) belirlenmesi için Mann-Kendall (MK), Trend-Free PreWhitening (TFPW) ve yenilikçi trend analizi (ITA) testleri uygulanmıştır. Çalışmada altı farklı istasyon ölçümleri kullanılarak elde edilen bulgular, Seyhan Havzası’nda en iyi tahminlerin LN2, P3, GEV-III ve LN3 dağılımları ile elde edildiğini göstermiştir. Seçilen anlamlılık düzeyinde üç istasyonda azalan trend bulunmuş olup, anlamlı bir trend tespit edilemeyen diğer istasyonlarda ITA testleri ile azalan bir eğilim belirlenmiştir. Elde edilen bulgular doğrultusunda, bu istasyonlarda özellikle son 10-15 yıllık süreçte ölçülen debilerin önemli miktarda azaldığı ve dolayısıyla küresel iklim değişikliği de göz önüne alındığında kuraklık riskinin olabileceği sonucuna ulaşılmıştır.
Sağlık çalışanlarının şiddete karşı güvenlik ve güven algılarının incelenmesi
(2024-04-30) Yural, Burak; Acuner, Deniz; Çevik Akkuş, Güneş
Amaç: Çalışma, sağlık çalışanlarının çalışma ortamında şiddetle karşılaşma sıklıkları ile şiddete karşı güvenlik ve güven algılarının belirlenmesi amacıyla yapılmıştır. Yöntem: Çalışma, tanımlayıcı, kesitsel ve ilişki arayıcı bir araştırmadır. Çalışmaya, Türkiye’deki hastanelerde ve aile hekimliği merkezlerinde çalışan toplam 507 sağlık çalışanı (doktor, hemşire, ebe ve sağlık yöneticileri) katılmıştır. Veriler, “Kişisel Bilgi Formu ve Sağlık Profesyonellerinin Şiddete Karşı Güvenlik ve Güven Ölçeği” ile toplanmıştır. Bulgular: Son beş yılda sağlık çalışanlarının %58,6’sının fiziksel şiddete, %88’inin psikolojik şiddete uğradığı belirtilmektedir. Katılımcıların ölçekten aldıkları güven alt boyutu puan ortalamaları 6,87 (SS=1,9) ve güvenlik alt boyut puan ortalamaları 4,56 (SS=2,04) bulunmuştur. Cinsiyet, yaş, eğitim durumu, çalışılan birim, çalışma deneyimi, şiddetle karşılaşma ve beyaz kod verme durumuna göre güvenlik ve güven algılarının istatistiki olarak farklılık gösterdiği belirlenmiştir. Sonuç: Araştırma sonucunda, sağlık çalışanlarında psikolojik şiddetin daha sık görüldüğü, güvende hissetme algılarının düşük olduğu, şiddeti yönetme becerisine yönelik algılarının orta düzeyde olduğu saptanmıştır. Sağlık çalışanlarına yönelik şiddete ilişkin yasal düzenlemelerin yapılması ve güvenlik sistemlerinin çalışanların iş ortamında kendilerini güvende hissetmelerini ve şiddetle baş edebilmelerini sağlayacak şekilde yapılandırılması önerilir.
Perceived paternal acceptance-rejection as a mediator of the association between perceived maternal acceptance-rejection and psychological adjustment: effect of gender
(Turkish Psychological Counseling and Guidance Association, 2025-06-30) Olgaç, Duygu; Gürsoy, Burak Emre; Şırvanlı Özen, Dilek
The present study explores the mediating role of perceived paternal acceptancerejection on the association between perceived maternal acceptance-rejection and psychological adjustment and its gender-related facets among 551 secondary school students aged 11 to 15. Results suggest paternal acceptance-rejection partially mediates this relationship for both genders, impacting positive selfadequacy, emotional responsiveness, and positive worldview. It partially mediates hostility and emotional stability for females and fully mediates for males. However, it does not affect self-esteem for either gender.
Public service announcements about migrants: strategic constructions to reduce prejudice
(Anadolu Üniversitesi, 2025-06-30) Pandır, Müzeyyen
In 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.
Olmayan bir resmin kurulmayan müzeleri üstüne: Osmanlı-Cumhuriyet çizgisinde Türkiye’nin müze ve görsel bilinç kısıtlamaları hakkında bir yorum denemesi
(İstanbul Bilgi Üniversitesi Yayınları, 2024-10-15) Kahraman, Hasan Bülent
19. yüzyılla birlikte başlayan modernleşme, dönemin Osmanlı İmparatorluğu’nda görsel alanda da dönüşümlere yol açmıştır. Klasik görsel sanat üretiminin yerini perspektife ve figür resmine bıraktığı bir görsellik anlayışının gelişmesi hızlı ve kolay olmamıştır. Aksine, uzun ve karmaşık sorunlara yol açmıştır. Görsel sanatlar alanındaki değişim sadece bir tek alanla, resimle, sınırlı kalmamıştır. Yenilik ve değişimin yansımaları mimarlık alanında da gözlemlenmiştir. Buna bağlı olarak geç dönem Osmanlı modernleşmesi büyük ölçüde görsellik üstünden gelişmiştir. Aynı dönemde müzecilik alanında meydana gelen çalışmalar söz konusu zamanların içe dönük ve gizli Oryantalizm anlayışıyla bütünleşmiştir. Batı-dışı modernleşme süreçlerinin bir ön koşulu olarak ortaya çıkan ve geniş ölçüde Oryantalizme dayanan arkeolojik müze düşüncesi yerini uzun bir zaman sonra görsel sanatlara ait müzelere bırakmıştır. Bu miras yeni Cumhuriyet dönemi tarafından devralınmıştır. Batılı resim anlayışına bağlı olarak gelişen müzecilik anlayışı 1930’ların sonunda biçimlenmiştir. Nurullah Berk’in modernist bir tasnif anlayışıyla gerçekleştirdiği müze kurgusu daha sonraki dönemlerde de devam etmiştir. Bugün yeni olduğu söylenen müzelerin önemli bir bölümünde de aynı anlayış sürdürülmekte, müze kurgularında herhangi bir değişiklik söz konusu olmamaktadır. Bu yazıda bir zihniyet sorunu olarak irdelenen söz konusu tarih mevcut görsellik anlayışının iç sorunlarıyla koşut bir şekilde ele alınmaktadır.
An Inverse recursive algorithm to retrieve the shape of the inaccessible dielectric objects
(Ramazan YAMAN, 2024-10-16) Sefer, Ahmet
A regularized electromagnetic iterative inverse algorithm is formulated and im-plemented to reconstruct the shape of 2D dielectric objects using the far-fieldpattern of the scattered field data. To achieve this, an integral operator thatmaps the unknown boundary of the object onto the far-field pattern of thescattered field is defined and solved for the unknown boundary. The addressedinverse problem has an ill-posed nature and inherits nonlinearity. To over-come these, the proposed solution is linearized via Newton and regularized byTikhonov in the sense of least squares. Besides, the dominance of the shadowregion in the inverse-imaging process is exceeded by considering the superpo-sition of multi-incoming plane waves, leading to less computational cost and avery fast inversion process. Comprehensive numerical analyses are carried outto ascertain the algorithm’s feasibility, revealing that it is very efficient andpromising.

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