Scopus İndeksli Yayınlar Koleksiyonu

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Alterations in Niban Gene Expression as a Response to Stress Conditions in 3t3-L1 Adipocytes
(Springer, 2020) Cevik, Mehtap; Gunduz, Meliha Koldemir; Deliorman, Gokce; Susleyici, Belgin
Adipocyte death is important in obesity development. Understanding and prevention of adipocyte deaths may be a molecular approach in the treatment. In the study, we aimed to understand role of Niban gene, which acts as an anti-apoptotic molecule as a response to stress conditions, in adipocytes. 3T3-L1 adipocytes were treated with different doses of linoleic acid, hydrogen peroxide and ethanol; and proliferation of the cells examined with real time monitoring iCELLingence system. Gene expression levels were measured by q-PCR. As a response to 24h 480 mu M linoleic acid treatment, Niban gene expression was found to be higher than control group (p = 0.008), whereas 24 h 90 mM ethanol treatment was determined to be lower than control group (p = 0.008). The highest value of Niban gene expression among H2O2 treatment groups was detected in 4h 600 mu M H2O2 in comparison to control group (p = 0.008). To understand role of Niban in adipogenesis, Niban gene expressions were compared between pre-adipocytes and advanced fat accumulated adipocytes and determined to be significantly different (p = 0.042). Our results suggest that Niban might be involved in stress response process in adipocytes. However, the exact molecular role of Niban needs to be investigated in further studies.
Analyzing Cost Efficiency and Project Scope in Post-Disaster Housing: Reconstruction Cases of Toki in Türkiye
(MDPI, 2025) Geylani, Ozlem
The Mass Housing Administration of T & uuml;rkiye (TOKI) operates as the primary public organization responsible for delivering extensive affordable housing throughout T & uuml;rkiye while ensuring disaster resilience. The recent decades of earthquakes and environmental hazards in T & uuml;rkiye have necessitated extensive post-disaster reconstruction initiatives nationwide. In response, TOKI has completed numerous disaster housing projects across the country through an integrated infrastructure framework supporting community recovery. This study presents an extensive statistical evaluation of 664 disaster housing projects constructed by TOKI across 40 provinces. Specifically, a quantitative analysis is conducted on 434 disaster housing projects for which detailed financial data are available. This research examines differences in construction costs between urban mass housing developments and rural village settlements, particularly focusing on the integration of functional structures such as schools, mosques, commercial units, and barns. Although mass housing projects require significantly larger total budgets due to their extensive scale, statistical analysis reveals no significant difference in per-unit construction costs between mass housing and village housing projects. Regression analysis indicates that incorporating barns increased per-unit construction costs, while the presence of schools and mosques significantly decreases these expenses. The findings of this research provide critical insights into the economic and functional factors influencing disaster housing reconstruction in T & uuml;rkiye and offer practical recommendations for improved planning, resource management, and community reconstruction based on an evaluation of functional structures.
Applicability of a Digitalization Model Based on Augmented Reality for Building Construction Education in Architecture
(Emerald Group Publishing Ltd, 2023) Guray, Tayibe Seyman; Kismet, Burcu
Purpose The purpose of this paper is to introduce a digitalization model (DM) for building construction courses in architectural education as a response to the recent emerging technologies in the era of digital transformations. This DM is developed and applied through augmented reality (AR) technologies to boost perception, understandings and ability to solve building construction details. Design/methodology/approach Based on a thorough review of recent technologies like AR, virtual reality (VR), building information modelling (BIM) and their applications in architectural education, the methodology involves the generation of a model, its application and evaluation. The model is based on the integration of BIM and AR which is applied into a third year "Building Construction Project" course. Each student has designed a residential building and accordingly prepared the construction drawings by adapting the DM. An online survey -based on Technology Acceptance Model - is conducted to evaluate the DM by quantitative data analysis from SPSS and Excel. Findings The key findings of the study include the following items: determination of the proper digital tools, the definition of the steps and workflow based on the building project phases to develop construction drawings and define precise details effectively. By the help of this, the DM is generated and applied. According to the survey and results, the DM which involves BIM-based AR is considered as beneficial, highly motivating and providing better perception on construction details. Originality/value Implication of AR/VR technologies is frequently seen in design studios, whereas building construction courses state its traditional approach. However, there is a huge potential in the digitalization of building construction education by increasing the perception of students together with the increased level of communication. The study aims to close the gap of digitalization by proposing a DM, which brings a systematic approach considering each phase of building construction project as conceptual, schematic, design development and construction documents by using BIM integrated AR. Moreover, the novel model specifically brings a new approach by generation of QR codes for construction details to embed videos or simulations into the two-dimensional drawing sheets. Furthermore, the DM proposes a new approach to satisfy emerging needs and requirements of the Architecture Engineering Construction industry.
Applications of Exosome Vesicles in Different Cancer Types as Biomarkers
(Bentham Science Publishing Ltd, 2024) Ihlamur, Murat; Kelleci, Kubra; Zengin, Yagmur; Allahverdiyev, M. Adil; Abamor, Emrah Sefik
One of the biggest challenges in the fight against cancer is early detection. Early diagnosis is vital, but there are some barriers such as economic, cultural, and personal factors. Considering the disadvantages of radiological imaging techniques or serological analysis methods used in cancer diagnosis, such as being expensive, requiring expertise, and being time-consuming, there is a need to develop faster, more reliable, and cost-effective diagnostic methods for use in cancer diagnosis.Exosomes, which are responsible for intercellular communication with sizes ranging from 30-120 nm, are naturally produced biological nanoparticles. Thanks to the cargo contents they carry, they are a potential biomarker to be used in the diagnosis of cancer. Exosomes, defined as extracellular vesicles of endosomal origin, are effective in cancer growth, progression, metastasis, and drug resistance, and changes in microenvironmental conditions during tumor development change exosome secretion. Due to their high cellular activity, tumor cells produce much higher exosomes than healthy cells. Therefore, it is known that the number of exosomes in body fluids is significantly rich compared to other cells and can act as a stand-alone diagnostic biomarker. Cancer-derived exosomes have received great attention in recent years for the early detection of cancer and the evaluation of therapeutic response.In this article, the content, properties, and differences of exosomes detected in common types of cancer (lung, liver, pancreas, ovaries, breast, colorectal), which are the leading causes of cancer-related deaths, are reviewed. We also discuss the potential utility of exosome contents as a biomarker for early detection, which is known to be important in targeted cancer therapy.
Applying Entropy Weighting and 2-Tuple Linguistic T-Spherical Fuzzy MCDM: A Case Study of Developing a Strategic Sustainability Plan for Istanbul Airport
(MDPI, 2024) Mizrak, Filiz; Polat, Levent; Tasar, Sezin Acik
This study presents a novel sustainability plan tailored for Istanbul Airport, leveraging advanced decision-making methodologies to address the urgent need for sustainable practices in aviation. By integrating the entropy weighting and 2-tuple linguistic T-spherical fuzzy multi-criteria decision-making (MCDM) models, the study offers a comprehensive approach to evaluating and prioritizing sustainability criteria based on expert input from 12 professionals. The novelty of this research lies in its unique combination of advanced MCDM techniques with cutting-edge technologies, including IoT-enabled monitoring systems, digital twin models, blockchain-based sustainability reporting, and carbon capture initiatives, tailored specifically for large-scale airport operations. The study develops a phased implementation roadmap comprising three stages: (1) a short-term focus on energy efficiency and renewable energy infrastructure, achieving significant cost reductions within a 3-7.5-year payback period; (2) medium-term initiatives integrating IoT and digital twins to enhance operational efficiency; and (3) long-term measures incorporating carbon capture and blockchain for transparency and compliance. Key implementation steps include upgrading energy systems, deploying IoT sensors, creating digital replicas of airport infrastructure, and establishing regulatory and stakeholder collaboration frameworks. This research contributes a replicable framework for airports worldwide, bridging theoretical models with actionable solutions.
An Approach to Predicting the Effect of Shadows from Surrounding Buildings on the Performance of Solar Photovoltaic
(Gazi Üniversitesi, 2025) Yongkuan, S.; Wei, N.; Shanwu, Z.; Garip, I.
For a photovoltaic system in an urban building, building shadow occlusion is an often-encountered problem, photovoltaic array covered area will change with time, resulting in the photovoltaic array output volt-ampere performance curve being also different with time. With the engineering analytical model of silicon solar cells, the series-parallel of electrical circuits theory, and the solar Angle change formula, an approach to predicting the effect of shadows from surrounding buildings on the performance of solar photovoltaics is established. The simulation results show the difference of the PV array’s I-V and P-V performance curves with periods. An actual test is carried out for the completed photovoltaic project with building shadow occlusion, and the comparison with Matlab simulation I-V and P-V performance curve proves the predicting model can describe the output performance of the PV array with building shadow occlusion. © (2025), (Gazi Universitesi). All rights reserved.
Artificial Intelligence Technologies and Ethics in Educational Processes: Solution Suggestions and Results
(Univ Malaga, 2024) Kolemen, Cansu Sahin
Artificial intelligence is a technology used to imitate the human-like thinking and decision-making abilities of computer systems. This technology enables computers to perform complex tasks such as data analysis, learning, problem solving and decision making. It is used in the field of education as well as in every field. While the use of artificial intelligence in the field of education provides advantages such as providing personalized learning experiences to students, providing teachers with intuition about student performance and developing educational materials, the ethical dimension should not be ignored. Therefore, the aim of this study is to produce solutions to ethical problems in the teaching and evaluation processes of artificial intelligence technologies in education. Qualitative research method was used in this study. It has adopted the phenomenological research approach among qualitative research methods. The concept of phenomenon is also the ethics of artificial intelligence. The working group consists of teachers, educational technologists and academicians. When selecting the working group, it was taken into consideration that there were teachers who use artificial intelligence applications in education and academics and technologists working in this field. Document analysis and focus group interviews were used as data collection tools. Content analysis was performed on the data obtained. According to the results of the study, ethical problems encountered with the use of artificial intelligence in education were identified and solution suggestions were offered.
The Association of Subordinates' Perception of the Manager's Ambiguous Behaviors with the Likelihood of Conflict Occurrence: A Cross-Cultural Study
(IACM-NCMR-INT Assoc Conflict Management, 2024) Honuk, Hizir; Kucuk, Burcu Aydin; Caglar, Cihan Tinaztepe
The research aims to provide evidence to explain the contradictive findings in the literature on the organizational conflict phenomenon and the relationship between conflict and culture, by focusing on the relationship between ambiguous behaviors and conflict. To achieve this goal, in the context of low-status compensation theory, the relationship between incivility, humor as ambiguous behaviors, and the likelihood of manager- subordinate conflict occurrence was investigated. To test the culture's effect on this relationship, survey data were collected from 478 white-collar subordinates working in SMEs in Turkey and the UK. According to the results, the subordinate's perception of the manager's ambiguous behaviors affects the likelihood of relationship conflict and task conflict occurrence. In addition, the study reveals that culture is associated with the likelihood of relationship conflict occurrence but not task conflict. The study contributes to the literature by providing evidence for the relationship between humor, incivility, conflict, and culture.
Authoritarian Neoliberalism and Resistance in Turkey Construction, Consolidation, and Contestation Introduction
(Palgrave Macmillan, 2022) Borsuk, Imren; Dinc, Pinar; Kavak, Sinem; Sayan, Pinar
While capitalism has been associated with democracy for a long time, the neoliberalisation that has coincided with the rise of populism and authoritarian resurgence in the global context demands further inquiry into the relationship between capital accumulation and political regimes. The growing literature on authoritarian neoliberalism examines the relationship between authoritarian governance and neoliberalisation, and interrogates how neoliberal reforms buttress the legal, administrative, and coercive power of states, creating leverage for ruling governments to enhance authoritarian forms of governance. While these studies highlight the vulnerability of these regimes and emphasise their crisis-laden character, there is a need for an extensive analysis of the dynamics of resistance in authoritarian neoliberal regimes to understand the limits and potentials of counter-hegemonic practices. Using in-depth case studies, this book demonstrates the repertoires of resistance against authoritarian neoliberalism in Turkey and discusses how different sections of society, including NGOs, bureaucrats, media, workers, marginalised communities and activists, challenge or reinforce neoliberal policies with their claims, tactics, strategies, and discourses. Drawing upon multidisciplinary scholarship from sociology, politics, law, media, urban development, and feminist studies, this book sheds light on the capacity of resistance to challenge the authoritarian forms of the neoliberal regime from within.
Binary Particle Swarm Optimization as a Detection Tool for Influential Subsets in Linear Regression
(Taylor & Francis Ltd, 2021) Deliorman, G.; Inan, D.
An influential observation is any point that has a huge effect on the coefficients of a regression line fitting the data. The presence of such observations in the data set reduces the sensitivity and validity of the statistical analysis. In the literature there are many methods used for identifying influential observations. However, many of those methods are highly influenced by masking and swamping effects and require distributional assumptions. Especially in the presence of influential subsets most of these methods are insufficient to detect these observations. This study aims to develop a new diagnostic tool for identifying influential observations using the meta-heuristic binary particle swarm optimization algorithm. This proposed approach does not require any distributional assumptions and also not affected by masking and swamping effects as the known methods. The performance of the proposed method is analyzed via simulations and real data set applications.
Can Commercial Buildings Cope with Australian Bushfires? An IAQ Analysis
(Ubiquity Press Ltd, 2021) Brambilla, Arianna; Candido, Christhina; Sangiorgio, Marco filippo; Gocer, Ozgur; Gocer, Kenan
The Australian 2019/20 summer witnessed an extraordinary bushfire season characterised by unprecedented duration, geographical reach and impact. The aftermath of the bushfires includes increased health-related implications on people due to short and long exposure to poor air quality. The current advice from the Australian authorities in such events is to remain indoors, as it was assumed indoor air quality (IAQ) is healthy. This paper examined that assumption and presents the case study of an office building in Canberra subjected to the 2019/20 bushfires, responding to the need of understanding the ability of air-conditioning buildings to cope with such unprecedented and extreme weather events. Measured data for indoor concentration of CO2, PM10 and PM2.5 recorded a prolonged period of concerning levels, as well as extreme concentration peaks. This poses a significant risk to the occupants' health. The values showed peaks up to 12 times higher for PM10 and 24 times higher for PM2.5 than the recommended critical thresholds. The infiltration factor and protection performance analysis suggest that old filtering systems and low airtightness levels are not optimal in protecting the indoor environment from outdoor air pollutants.
Case Report: Physiological and Psychological Underpinnings of Muscle Dysmorphia Using EEG, GSR, and Eye-Tracking
(Frontiers Media SA, 2025) Cinaroglu, Metin; Ulker, Selami Varol; Yilmazer, Eda; Sayar, Goekben Hizli
Background Muscle dysmorphia (MD), a subtype of Body Dysmorphic Disorder (BDD), involves an obsessive preoccupation with perceived insufficient muscularity despite an objectively muscular physique. While its psychological features are well-documented, physiological and attentional underpinnings remain underexplored.Objective This exploratory, proof-of-concept case series examines the psychological, physiological, and attentional characteristics of individuals with varying experiences of MD using a multimodal approach combining electroencephalography (EEG), galvanic skin response (GSR), and eye-tracking technologies.Methods Three male participants were purposefully selected to represent distinct clinical profiles: one with active MD and steroid use, one in sustained remission from MD, and one with no MD history. Participants completed validated psychological scales (MDDI, BIDQ, STAI, RSES) and were exposed to personalized visual stimuli (past, current, and idealized body images). A triangulated recording protocol was used to capture EEG, GSR, and eye-tracking data during stimulus exposure.Results Participants with current and past MD showed elevated beta wave activity, increased skin conductance, and attentional biases toward muscular regions, corresponding with higher self-reported distress and anxiety. In contrast, the control participant exhibited stable physiological responses and emotionally neutral reactions. Triangulated data revealed coherent patterns across subjective and physiological domains, supporting the internal validity of the findings despite the small sample.Conclusion These findings illustrate the potential of multimodal assessment in identifying candidate psychophysiological markers of MD. While not generalizable, this case-series provides a valuable framework for future hypothesis-driven research and supports the need for gender-specific diagnostic and intervention strategies in muscle dysmorphia.
Cd Dopant Effect on Structural and Optoelectronic Properties of TiO2 Solar Detectors
(Springer, 2021) Ilhan, Mustafa; Koc, Mumin Mehmet; Coskun, Burhan; Erkovan, Mustafa; Yakuphanoglu, Fahrettin
Al/n-Si/Ti1-xO2CdxO/Al photodiodes were produced using sol-gel and spin coating methods where CdO dopant was applied on different concentrations (x = 0.0; x = 0.01; x = 0.05; x = 0.10). Cd dopant effect upon structural, optical, photodiode and electrical properties was assessed. Scanning electron microscope and energy-dispersive spectra were used in the structural investigation. Optic properties were assessed using UV-Vis spectroscopy and bandgap energies of the photodiodes were calculated which were found to be between 3.25 and 3.36 eV. Increased bandgap energy was observed with increased CdO doping rate. Photodiode properties were assessed under varying daylight illuminations. Barrier height, ideality factor, dark current, linear dynamic rate, photosensitivity, photoresponsivity of the photodiodes were calculated. Electrical properties of the Al/n-Si/Ti1-xO2CdxO/Al photodiodes were calculated where conductance-voltage and capacitance-voltage plots were obtained. Corrective conductance-voltage and corrective capacitance-voltage graphs confirm that the electrical properties of the photodiodes depend on AC signal frequency. Frequency-dependent electrical characteristics were attributed to the density of interface states which were found to be between 10(11) and 10(12). Decreased density of interface state was found for increased AC signal frequency.
Children with Learning Disorders Discourse with Their Mothers: The Role of Maternal Affectivity and Psychopathology Symptoms
(Springer, 2023) Alsancak-Akbulut, Cansu; Celik, Cihat; Erden, Gulsen
This study aimed to examine the role of maternal affectivity and psychopathology symptom severity on conversational styles of mothers and their children with learning disorders during recounting stressful events. 30 Turkish mothers and their children with learning disorders (n(boy) = 20, n(girl) = 10) aged between 7 and 14 included in this study. Mother-child dyads conversed about stressful events that children experienced at school and their conversation style was coded for high elaboration and low elaboration. Maternal affectivity and psychopathology symptom severity were also measured via self-report. Lower levels of negative affectivity predicted maternal high elaboration. Maternal positive affectivity and psychopathology symptom severity did not predict mother-child dyads' conversational style. These preliminary findings suggested that lower levels of negative affectivity, reflecting on mothers being sincere and calm, provide mothers with a warm environment for elaborating on the stressful event - even though the children were not able to respond with high elaboration.
Cognitive Behavioral Therapy for Muscle Dysmorphia and Anabolic Steroid-Related Psychopathology: A Randomized Controlled Trial
(MDPI, 2025) Cinaroglu, Metin; Yilmazer, Eda; Ulker, Selami Varol; Sayar, Gokben Hizli
Background/Objectives: Muscle dysmorphia (MD), a subtype of body dysmorphic disorder, is prevalent among males who engage in the non-medical use of anabolic-androgenic steroids (AASs) and performance-enhancing drugs (PEDs). These individuals often experience severe psychopathology, including mood instability, compulsivity, and a distorted body image. Despite its clinical severity, no randomized controlled trials (RCTs) have evaluated structured psychological treatments in this subgroup. This study aimed to assess the efficacy of a manualized cognitive behavioral therapy (CBT) protocol in reducing MD symptoms and associated psychological distress among male steroid users. Results: Participants in the CBT group showed significant reductions in MD symptoms from the baseline to post-treatment (MDDI: p < 0.001, d = 1.12), with gains sustained at follow-up. Large effect sizes were also observed in secondary outcomes including depressive symptoms (PHQ-9: d = 0.98), psychological distress (K10: d = 0.93), disordered eating (EDE-Q: d = 0.74), and exercise addiction (EAI: d = 1.07). No significant changes were observed in the control group. Significant group x time interactions were found for all outcomes (all p < 0.01), indicating CBT's specific efficacy. Discussion: This study provides the first RCT evidence that CBT significantly reduces both core MD symptoms and steroid-related psychopathology in men engaged in AAS/PED misuse. Improvements extended to mood, body image perception, and compulsive exercise behaviors. These findings support CBT's transdiagnostic applicability in addressing both the cognitive-behavioral and affective dimensions of MD. Materials and Methods: In this parallel-group, open-label RCT, 59 male gym-goers with DSM-5-TR diagnoses of MD and a history of AAS/PED use were randomized to either a 12-week CBT intervention (n = 30) or a waitlist control group (n = 29). CBT sessions were delivered weekly online and targeted distorted muscularity beliefs, compulsive behaviors, and emotional dysregulation. Primary and secondary outcomes-Muscle Dysmorphic Disorder Inventory (MDDI), PHQ-9, K10, EDE-Q, EAI, and BIG-were assessed at the baseline, post-treatment, and 3-month follow-up. A repeated-measures ANOVA and paired t-tests were used to analyze time x group interactions. Conclusions: CBT offers an effective, scalable intervention for individuals with muscle dysmorphia complicated by anabolic steroid use. It promotes broad psychological improvement and may serve as a first-line treatment option in high-risk male fitness populations. Future studies should examine long-term outcomes and investigate implementation in diverse clinical and cultural contexts.
Comparing Cognitive Behavioral Therapy and Ericksonian Hypnotherapy for Obsessive–Compulsive Disorder: A Randomized Controlled Trial
(Routledge, 2026) Çınaroğlu M.; Yılmazer E.; Odabaşı C.; Ülker S.V.; Tan S.; Hızlı Sayar G.
Obsessive–Compulsive Disorder (OCD) is a chronic condition that often responds well to Cognitive Behavioral Therapy (CBT), though many patients fail to achieve full remission. Ericksonian Hypnotherapy (EH) has been proposed as a promising alternative. This randomized controlled trial compared the efficacy of CBT and EH against a waitlist control in 99 adults with OCD. Participants received 12 weekly online therapy sessions. Outcomes were assessed at baseline, mid-treatment, and post-treatment using the Padua Inventory-Revised, Yale–Brown Obsessive Compulsive Scale–Self-Report (Y-BOCS-SR), and Beck Anxiety Inventory (BAI). Both CBT and EH led to large, statistically and clinically significant reductions in OCD symptoms compared to waitlist. CBT was more effective for compulsive behaviors such as washing, while EH produced greater reductions in obsessive rumination and general anxiety. No serious adverse events occurred. These findings suggest that EH is a viable and comparably effective treatment to CBT, with distinct therapeutic benefits. EH may offer a particularly useful option for patients with obsession-dominant symptom profiles or comorbid anxiety. © 2026 International Journal of Clinical and Experimental Hypnosis.
Comparing Cognitive Behavioral Therapy and Ericksonian Hypnotherapy for Subclinical Depression and Anxiety: A Randomized Controlled Trial
(Routledge Journals, Taylor & Francis Ltd, 2025) Cinaroglu, Metin; Yilmazer, Eda; Odabasi, Cemre; Ulker, Selami Varol; Sayar, Gokben Hizli
This randomized controlled trial examined the effectiveness of Cognitive Behavioral Therapy (CBT) and Ericksonian Hypnotherapy (EH) in reducing symptoms of depression and anxiety among individuals with subclinical levels of distress. A total of 150 participants were screened, and 45 eligible participants were randomized into three groups: CBT (n = 15), EH (n = 15), and a waitlist control group (n = 15). Interventions consisted of 12 weekly sessions, with assessments conducted at baseline, mid-intervention, and post-intervention using the Beck Depression Inventory-II (BDI-II) and Beck Anxiety Inventory (BAI). Both CBT and EH significantly reduced symptoms of depression and anxiety compared to the control group, with no significant differences in efficacy between the two interventions. CBT's structured approach demonstrated consistent improvements across both depression and anxiety, while EH showed a slightly faster reduction in anxiety symptoms at mid-intervention, highlighting its potential for addressing somatic and cognitive dimensions of anxiety. This study extends previous findings by focusing on a non-clinical population, emphasizing the potential of these interventions as early strategies for preventing symptom escalation. Unlike prior work primarily targeting diagnosed populations, this research underscores the applicability of CBT and EH in addressing subthreshold distress. Limitations include a small sample size, lack of follow-up assessments, and reliance on self-reported measures. Future research should explore long-term outcomes, larger samples, and the integration of CBT and EH. These findings contribute to the growing body of evidence supporting diverse psychotherapeutic modalities for early mental health intervention.
Comparison of Domino Transplantation with Two-Way Paired Exchange and Normal Transplantation: Acute Rejection, Surgical Complications, and 5-Year Survival Outcomes
(Springer, 2025) Huseynov, Amil; Cicek, Sevim Nuran Kuslu
Background Domino kidney paired donation and Two-Way Paired Exchange have emerged as vital strategies to expand the donor pool in renal transplantation, especially for patients facing ABO or HLA incompatibilities. Despite their potential benefits, concerns remain regarding immunological risks, infectious complications, and long-term graft survival. Methods In this retrospective cohort study conducted at Medicana Transplant Center, 980 adult kidney transplant recipients were categorized into three groups: Domino (n = 144), Two-Way Paired Exchange (n = 350), and Normal Transplant (n = 486). Baseline characteristics, acute rejection rates, and surgical or infectious complications were collected, alongside data on 1-year and 5-year patient and graft survival. Statistical analysis included Kaplan-Meier survival curves and Cox proportional hazards modeling for independent predictors of graft outcomes. Results The Domino group had the highest 1-year acute rejection rate (17.4%) compared to Two-Way Paired Exchange (4.3%) and Normal Transplant (3.7%), yet 1-year graft survival rates remained comparable (92%, 95%, and 96%, respectively; p = 0.271). Infectious complications were more frequent in the Domino group (25%) than in others (p < 0.01). Extended follow-up to 5 years indicated no statistically significant difference in overall graft or patient survival among the three groups (log-rank p = 0.197), despite a trend toward lower 5-year graft survival in the Domino group. Donor-specific antibodies and higher HLA mismatches independently predicted acute rejection. Conclusions Domino transplantation, while associated with higher immunologic challenges, achieves acceptable short-term and 5-year outcomes akin to Two-Way Paired Exchange and Normal Transplant. Careful immunosuppressive strategies, vigilant monitoring, and collaborative protocols are integral for optimizing long-term success in high-risk transplant scenarios.
Consolidating and Contesting Authoritarian Neoliberalism in Turkey: Towards a Framework
(Palgrave Macmillan, 2022) Borsuk, Imren; Dinc, Pinar; Kavak, Sinem; Sayan, Pinar
During the early years of the ruling Adalet ve Kalkinma Partisi (Justice and Development Party, AKP), Turkey was seen as a burgeoning democratic power propped up by economic prosperity in line with the reforms for European Union (EU) accession and International Monetary Fund (IMF) conditionality. However, 20 years later, it is considered an emblematic case of democratic backsliding in line with rising poverty and inequalities that have been amplified as a result of sweeping neoliberal reforms and authoritarian consolidation in the country. The recent literature has identified these concomitant and complementary modes of authoritarian governance and neoliberal policies in Turkey as 'authoritarian neoliberalism'. In this chapter, we discuss the dynamics of consolidation of authoritarian neoliberalism in Turkey as well as the acts of contention against it. Building mainly on the eight case studies presented in this volume, we put forward a framework that explains the consolidation of authoritarian neoliberalism in Turkey through the mechanisms of executive centralisation, autocratic legalism, cronyism, violence-fuelled rentier accumulation, criminalisation and stigmatisation, and contestations against authoritarian neoliberalism through strikes, protests, demonstrations, network building, litigation, everyday struggles, and armed acts of contention.
Criticality Investigations for the Fixed Bed Nuclear Reactor Using Thorium Fuel Mixed with Plutonium or Minor Actinides
(Pergamon-Elsevier Science Ltd, 2009) Sahin, Suemer; Sahin, Haci Mehmet; Acir, Adem; Al-Kusayer, Tawfik Ahmed
Prospective fuels for a new reactor type, the so called fixed bed nuclear reactor (FBNR) are investigated with respect to reactor criticality. These are (1) low enriched uranium (LEU); (2) weapon grade plutonium + ThO2; (3) reactor grade plutonium + ThO2; and (4) minor actinides in the spent fuel of light water reactors (LWRs) + ThO2. Reactor grade plutonium and minor actinides are considered as highly radioactive and radio-toxic nuclear waste products so that one can expect that they will have negative fuel costs. The criticality calculations are conducted with SCALE5.1 using S-8-P-3 approximation in 238 neutron energy groups with 90 groups in thermal energy region. The study has shown that the reactor criticality has lower values with uranium fuel and increases passing to minor actinides, reactor grade plutonium and weapon grade plutonium. Using LEU, an enrichment grade of 9% has resulted with k(eff) = 1.2744. Mixed fuel with weapon grade plutonium made of 20% PuO2 + 80% ThO2 yields k(eff) = 1.2864. Whereas a mixed fuel with reactor grade plutonium made of 35% PuO2 + 65% ThO2 brings it to k(eff) = 1.267. Even the very hazardous nuclear waste of LWRs, namely minor actinides turn out to be high quality nuclear fuel due to the excellent neutron economy of FBNR. A relatively high reactor criticality of k(eff) = 1.2673 is achieved by 50% MAO(2) + 50% ThO2. The hazardous actinide nuclear waste products can be transmuted and utilized as fuel in situ. A further output of the study is the possibility of using thorium as breeding material in combination with these new alternative fuels. (C) 2009 Elsevier Ltd. All rights reserved.

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