Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Ranjbarzadeh, Ramin(2)
- Zarbakhsh, Payam(2)
- Anari, Shokofeh(1)
- Atulya K., N.(1)
- Baydar, Sava(1)
- Başkan Önal, Aslı(1)
- Bendechache, Malika(1)
- Dharm Singh, J.(1)
- Durgesh Kumar, M.(1)
- Durmuş, Veli(1)
- Elbahisi, Youssef Hazza Mohamed(1)
- Fırat, Hicran Bayraktaroğlu(1)
- Jafarov, Tabriz(1)
- Joshi, A.(1)
- Kamsari, Mohammadreza(1)
- Keles, Ayse(1)
- Keskin Tunç, Serap(1)
- Keçecioğlu, Burak(1)
- Kia, Marjan(1)
- Kiziroglu, Serap Keskin(1)
- Leylanoğlu, Hazar(1)
- Sadeghi, Soroush(1)
- Safarpour, Homayoun(1)
- Sarlak, Deniz(1)
- Taspinar, Ozgur(1)
- Tunc, Selmi(1)
- Uydaci, Mert(1)
- Yavuz, Esra(1)
Yayınlar
- MakaleYalnız künye2026Association Between Cervical Discopathy and Temporomandibular Joint Dysfunction
Taspinar, Ozgur
Objective: Cervical discopathy is a pathology resulting from the displacement of the nucleus pulposus into the cervical spinal canal. Temporomandibular joint disorder (TMJ) is characterized by pain and limited movement in the temporomandibular region. The purpose of this study was to investigate the relationship between symptoms of TMJ dysfunction and cervical discopathy. Materials and Methods: The study included patients diagnosed with cervical disc herniation who presented to our outpatient clinic, along with a control group consisting of patients from other outpatient departments without cervical spine pathology. Participants were evaluated based on demographic data, systemic diseases, trauma history, TMD symptoms, joint sounds, facial pain, teeth grinding, teeth clenching, yawning, mouth opening capacity, masseter pain, and preferred sleeping position. Results: A total of 90 individuals participated in the study: 45 with cervical disc herniation and 45 controls. There were no statistically significant differences between the groups in terms of age or body mass index (BMI) (p>0.05). However, a statistically significant association was found between cervical discopathy and masseter pain, denture use, trauma history, TMD symptoms, teeth grinding, and teeth clenching (p<0.05 for all). Conclusion: This study found significant associations between cervical discopathy and TMJ symptoms such as masseter pain, denture use, trauma, teeth grinding, and clenching. These findings are consistent with the literature. The jaw joint should be carefully evaluated in patients with cervical discopathy.
- MakaleAçık Erişim2026The Problem of Recognition of the Taliban Regime Within the Framework of International Law
Jafarov, Tabriz; Leylanoğlu, Hazar
One of the current problems of today’s IL is the legal recognition of governments that come to power illegitimately. IL, the recognition of governments is not only a legal process but also a political one. Recognition of governments is of great importance not only in the internal affairs of a state but also in its rights and obligations to take its place in the international community. Within the framework of the agreement signed between the US and the Taliban, they illegitimately captured Kabul immediately after the US withdrawal from Afghanistan in 2021. Former Afghan President Ashraf Ghani secretly fled the country and following this incident, the Kabul administration came completely under Taliban control. The issue of the recognition of the Taliban government within the context of IL, its legitimacy and its place in international relations has been brought to the agenda. In this study, the analytical method will be employed to theoretically examine the types of recognition under IL. Subsequently, the emergence of the Taliban and the processes through which it came to power will be discussed in detail. Finally, the extent to which the principles governing the recognition of governments align withe the de facto practices of the Taliban administration will be analyzed. Within this framework, an assessment will be made regarding the recognition of the Taliban administration by the international community.
- MakaleAçık Erişim2026Limited Şirketteki Gizli Ortaklığın Tasfiyesi
Keçecioğlu, Burak
Bu çalışmada, Türk hukukunda doğrudan yasal bir düzenlemeye kavuşturulmamış olan ve temelinde Türk Borçlar Kanunu’nun adi ortaklık hükümlerine (TBK m. 620 vd.) dayanan gizli ortaklık ilişkisinin, limited şirketler eksenindeki tasfiye süreci ele alınmaktadır. Gizli ortaklık, standart adi ortaklıklardan farklı olarak, dış dünyaya yansıyan bağımsız bir malvarlığı bulunmayan; taahhüt edilen katılım payının doğrudan aktif ortağın malvarlığına dâhil olduğu, bütünüyle içe dönük ve mahremiyet esaslı bir yapıdır. Bu esnek ve borçlar hukuku menşeli iç ilişkinin; şekilci, statüsel ve alacaklıları koruma amacı güden limited şirket mimarisine entegre edilmesi, özellikle ortaklığın sona ermesi aşamasında mevcut hukuki normların çözümde yetersiz kaldığı karmaşık uyuşmazlıklara yol açmaktadır. Bu çalışmada, doktrindeki boşluğu gidermek ve şirketler hukuku pratiğine uyumlu somut hukuki tespitler üretmek amacıyla, limited şirketin aktif ortağı ile gizli ortağı arasındaki söz konusu gizli ortaklığın tasfiyesi incelenmektedir. Çalışmada, gizli ortaklığın feshinin teknik ve hukuki anlamda ticari bir tasfiyeden ziyade, taraflar arasında gerçekleşen şahsi bir “hesaplaşma” süreci olduğu tespiti yapılmaktadır. Bu bağlamda, gizli ortağın şirket malvarlığı üzerinde doğrudan ayni bir hak veya mülkiyet iadesi iddia edemeyeceği; ancak şirketin faaliyetleri neticesinde elde ettiği ekonomik değer artışından katılım payı oranında yararlandırılmasının zorunluluğu ortaya konulmaktadır. Söz konusu yapısal tezatlar ve dinamikler çerçevesinde, ödenmiş veya henüz ödenmemiş katılma paylarının akıbeti gibi uygulamada ihtilaf yaratan maddi hukuk sorunları ayrıntılı biçimde değerlendirilmiştir. Son olarak, tasfiye ve hesaplaşma sürecinden kaynaklanan yargısal uyuşmazlıklar boyutunda taraf sıfatları, görevli ve yetkili mahkeme ile zamanaşımı meseleleri sistematik bir yaklaşımla analiz edilmiştir.
- MakaleAçık Erişim2026Health perception, health belief model-based smoking cessation constructs, and nicotine dependence as predictors of intention to quit smoking among deaf and hard-of-hearing young adults
Sarlak, Deniz
Objective: This study aimed to examine the relationships among health perception, Health Belief Model-Based Smoking Cessation constructs, nicotine dependence, and intention to quit smoking among deaf and hard-of-hearing young adults, and to determine the predictive contribution of these variables to intention to quit smoking. Method: This cross-sectional correlational study included 680 deaf and hard-of-hearing young adults aged 18-25 years. Data were collected using the Fagerström Test for Nicotine Dependence, the Intention to Quit Smoking Scale, the Health Belief Model-Based Smoking Cessation Scale, and the Health Perception Scale. Pearson’s correlation analysis, hierarchical multiple regression, mediation analysis, moderation analysis, and structural equation modelling were performed. Results: Intention to quit smoking was significantly and positively associated with health perception and self-efficacy, and significantly and negatively associated with the HBM-SCS composite score, nicotine dependence, smoking consumption, degree of hearing loss, and perceived barriers (p<.001). The final hierarchical regression model explained 35.6% of the variance in intention to quit smoking (R²=.356). Self-efficacy was a statistically significant mediator of the association between smoking consumption and intention to quit smoking; the indirect effect was -0.50, with a 95% bootstrap confidence interval of [-0.64,-0.37]. Degree of hearing loss significantly moderated the association between smoking consumption and intention to quit smoking (B=-0.12, SE=0.05, t=- 2.40, p=.017). The structural equation model demonstrated good fit (χ²/df=2.51, CFI=.962, TLI=.953, RMSEA=.042, SRMR=.035). Conclusion: Health perception, Health Belief Model-Based Smoking Cessation constructs, and nicotine dependence were significantly associated with intention to quit smoking among deaf and hard-of-hearing young adults. Self-efficacy emerged as a significant mediator, whereas degree of hearing loss showed a significant moderating role.
- MakaleYalnız künye2026Alternative dispute resolution in turkish medical law: evaluating conciliation and mediation for medical malpractice cases
Uydaci, Mert; Durmuş, Veli; Kiziroglu, Serap Keskin
This study explores conciliation and mediation as alternatives to litigation in resolving healthcare disputes in Türkiye. Disputes often stem from medical errors, unmet expectations, or communication failures. Conciliation, commonly used in countries like France, Italy, and the UK, is a structured negotiation led by a neutral third party. In Türki- ye, conciliation applies to criminal medical malpractice cases involving reckless injury or privacy violations, while mediation is reserved for civil claims such as compensation. Legal prerequisites for conciliation include a formal complaint and the exclusion of specific crimes, such as sexual offenses. Public sector disputes may also require administrative approvals. Benefits of conciliation include faster resolution, reduced emotional and financial strain, and protection of reputations, especially valuable for healthcare professionals lacking malpractice insurance. Me- diation offers confidential and efficient settlements in civil cases, aiding both patients and private providers. The study advocates incorporating conciliation into Turkish health law to enhance dispute resolution, alle- viate judicial burdens, and strengthen patient-provider trust.
- BildiriYalnız künye2026Motivational Factors Affecting ELT Students' Use of ChatGPT Learning Outcomes in Preparing for Writing Tasks: A Mixed-Methods Study
Fırat, Hicran Bayraktaroğlu
The rapid rise of large language models such as ChatGPT is altering the landscape of English language education, influencing how learners approach writing, speaking, reading, and vocabulary work. Despite this shift, little is known about how English Language Teaching (ELT) majors—who must balance their roles as students and future educators—engage with these tools across different skill areas. To address this gap, the present study adopts a mixed-methods design to explore what motivates ELT students to use ChatGPT, drawing on a broad theoretical base that includes Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), the Hedonic Motivation System Adoption Model (HMSAM), Self-Determination Theory (SDT), Flow Theory, and Cognitive Load Theory (CLT).The quantitative phase involved 100 randomly selected ELT students studying in the Turkish Republic of Northern Cyprus, who were invited through proportionate stratified random sampling across nine universities, while qualitative insights were gathered from interviews with 12 students recruited through purposive sampling. The findings indicate that intrinsic motivation, perceived usefulness, hedonic appeal, and ease of use strongly shape students’ intentions to work with ChatGPT. Writing stood out as the skill that students found most intrinsically and hedonically engaging, particularly because the tool helped reduce anxiety and support idea development. Speaking-related motivation was tied largely to affective benefits such as increased confidence and reduced communication apprehension. In contrast, reading and vocabulary use were driven more by practical, efficiency-oriented considerations. Interview data also revealed persistent ethical concerns, including plagiarism, over-dependence, and fairness in assessment, alongside professional-identity-driven reflections on the pedagogy and assessment. Overall, the study underscores the importance of strengthening AI literacy, establishing ethical guidelines, and rethinking assessment practices within ELT programs. It contributes a skill-specific, theoretically grounded perspective on how future English teachers navigate AI-mediated learning environments.
- MakaleYalnız künye2026Impact of ROI size on fractal dimension values in radiographs using a novel ROI selection method
Yavuz, Esra; Tunc, Selmi
Objective: This study aimed to evaluate the effect of various sizes of regions of interest (ROIs) on fractal dimension (FD) in the evaluation of trabecular bone structure in dental radiographic images. Materials and methods: This study included 12 sheep hemimandibles. One set of digital images was obtained from each hemimandible using either periapical radiography, panoramic radiography, or cone-beam computed tomography (CBCT). Fractal analysis (FA) was conducted using ImageJ 1.3 software with the box-counting method on small, medium, and large ROIs obtained from each image, using a novel ROI selection method. Comparisons of FD values obtained from the three different ROI sizes were conducted within each radiographic image using repeated-measures ANOVA. Post hoc pairwise comparisons were performed with Bonferroni correction. Data were analyzed using Jamovi 1.6.23. Statistical significance was accepted as p < 0.05. Results: In periapical radiography, the FD values obtained in small, medium, and large ROI sizes were 1.60 ± 0.02, 1.60 ± 0.01, and 1.65 ± 0.01, respectively (p < 0.001). In panoramic radiography, they were 1.45 ± 0.04, 1.71 ± 0.02, and 1.59 ± 0.01, respectively (p < 0.001), and in CBCT, they were 0.76 ± 0.07, 1.21 ± 0.04, and 1.48 ± 0.04, respectively (p < 0.001). Conclusions: The study demonstrates that FD is affected by the ROI size.
- MakaleAçık Erişim2026Evaluation of the effects of A-PRF and oral dexamethasone use on postoperative complications in third molar extraction: a split-mouth randomized-controlled trial
Elbahisi, Youssef Hazza Mohamed; Keskin Tunç, Serap; Başkan Önal, Aslı; Baydar, Sava
Background: The aim of this study was to compare the effects of advanced platelet-rich-fibrin (A-PRF) and oral dexamethasone on postoperative complications in patients undergoing impacted mandibular third molar extraction. Methods: This split-mouth, prospective, randomized-controlled study involved bilateral extraction of impacted mandibular third molars. A-PRF was applied to the extraction socket on one side, while postoperative oral dexamethasone was prescribed for the other side. Data were collected on pain, edema, trismus, and analgesic consumption. Intra-group and inter-group comparisons were performed. The Visual Analog Scale (VAS) was used for pain assessment. The patients were given a form to record their postoperative analgesic use. Pain assessments were conducted at postoperative 3, 6, 9, 12, 24 h, and on Days 2, 3, 4, 5, 6, 7, 14, and 30. Maximum interincisal distance was measured for trismus evaluation, while facial measurements between specific points were taken for edema assessment. Trismus and edema measurements were conducted on postoperative Days 2, 7, 14, and 30. Results: This study included 30 patients with bilateral impacted mandibular third molars (total of 60 extractions). The VAS scores were significantly lower on the side treated with oral dexamethasone compared to the A-PRF side at all measurement times (p < 0.01). Considering edema evaluation, measurements were similar between both sides at all time points except on Day 2, when the A-PRF side showed significantly higher values (p = 0.001 and p < 0.01). For trismus evaluation, maximum interincisal distance was significantly greater on the oral dexamethasone side on Days 2 and 7 compared to the A-PRF side (p = 0.001 and p < 0.01). Analgesic consumption was significantly higher in the A-PRF group than in the oral dexamethasone group at all measured time points between 12 h and Day 7 (p < 0.01). Conclusion: Oral dexamethasone appeared to be more effective than A-PRF in reducing postoperative complications. However, no significant difference was observed between the two groups in edema on Days 7, 14, and 30. Although not as effective as oral dexamethasone, A-PRF, being an autologous product with no side effects, can still be considered for reducing complications following impacted tooth extraction. Trial Registration: The study was retrospectively registered at ClinicalTrials.gov with the number of NCT06823934, Registration date 02 June 2025.
- BildiriAçık Erişim2026Explainable Attention-Guided Swin Transformer Networks for Brain Tumor Segmentation from 3D MRI
Ranjbarzadeh, Ramin; Keles, Ayse; Anari, Shokofeh; Zarbakhsh, Payam; Bendechache, Malika; Atulya K., N.; Dharm Singh, J.; Durgesh Kumar, M.; Joshi, A.
This research presents a two-stage cascaded 3D segmentation approach designed for accurate brain tumor delineation in multimodal MRI data. The design incorporates a Swin Transformer backbone alongside Atrous Spatial Pyramid Pooling (ASPP) and Squeeze-and-Excitation (SE) blocks during the coarse segmentation phase to extract comprehensive, multi-scale contextual data. The second stage enhances the preliminary output with a class-wise attention decoder, which highlights tumor subregions—specifically, edema, necrotic core, and enhancing tumor—by masking the original input with the coarse predictions. The model employs a weighted Tversky loss to address the substantial class imbalance present in tumor segmentation tasks. Extensive experiments were executed on the BraTS 2020 dataset, incorporating preprocessing processes such as volume cropping and scaling to 128 × 128 × 128, with evaluation completed across training, validation, and test sets divided in a 70%–15%–15% ratio. The model exhibited exceptional accuracy in identifying tumor regions, with a Dice score of 0.99 for healthy tissue and above 0.5 for tumor subregions. The investigation of ROC curves and confusion matrices further substantiated the reliability of the forecasts. To improve model transparency, layer-wise Grad-CAM heatmaps were produced, illustrating the transition of attention from general background in first levels to concentrated tumor localization in subsequent layers. The proposed method attains competitive segmentation performance while providing a more interpretable and therapeutically pertinent answer. The results underscore the efficacy of integrating coarse-to-fine cascaded architectures with transformer-based encoders and attention-driven refinement for brain tumor segmentation.
- MakaleAçık Erişim2026Explainable deep learning framework for brain tumor segmentation using vision transformer and conditional random fields
Safarpour, Homayoun; Sadeghi, Soroush; Zarbakhsh, Payam; Kamsari, Mohammadreza; Kia, Marjan; Ranjbarzadeh, Ramin
Brain tumor segmentation is critical for accurate identification and treatment planning. However, delineating intricate tumor areas like Edema, Tumor Core, and Enhancing Tumor remains challenging owing to diversity in dimensions, morphology, and delineation. This introduces a novel deep learning model integrating a pretrained Vision Transformer (ViT) for global context representation, Atrous Spatial Pyramid Pooling (ASPP) in both encoder and merging stages, and ReLU6. Additionally, attention mechanisms and Conditional Random Fields (CRF) were incorporated for refining feature emphasis and segmentation boundaries. The model was trained and tested on the BraTS 2020 dataset and compared with state-of-the-art methods. The suggested model obtained the highest Dice coefficients across all tumor regions, with improvements of up to 4% over nnU-Net and SwinBTS in the Enhancing Tumor and Edema region. Grad-CAM heatmaps illustrated the model’s proficiency in precisely identifying tumor areas, hence enhancing the interpretability of predictions. The incorporation of multi-scale feature extraction, attention mechanism, and global context representation markedly improved segmentation accuracy and interpretability. The findings underscore the proposed model’s capacity to enhance clinical processes and establish a standard for brain tumor segmentation tasks. Future endeavors involve testing on varied datasets and investigating lightweight structures for real-time applications.