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Öğe Examining the relationship between taekwondo coaches' attitudes towards coaching and their self-esteem(Univ Murcia, 2026) Sadik, Resat; Pepe, SirinThis study aimed to examine the relationship between taekwondo coaches' attitudes toward the coaching profession and their self-esteem. The sample consisted of a total of 106 coaches, including 31 females (29.2%) and 75 males (70.8%). In addition to a demographic information questionnaire developed by the researchers, the Attitude Scale Toward the Coaching Profession, and the Rosenberg Self-Esteem Scale and adapted into Turkish were used. The research was conducted using a relational survey model. Since the data did not show a normal distribution according to the statistical analyses, non-parametric statistical methods were employed. Research findings revealed that there is a positive and moderately significant relationship between self-esteem and attitudes towards the coaching profession (p<0.05). This shows that coaches with high self-esteem develop more positive attitudes towards their profession, and this situation is related to multidimensional psychosocial variables such as professional motivation, communication skills, leadership qualities, and general life satisfaction. The fact that female coaches exhibit more positive results, particularly in the behavioral attitude dimension, also raises the need for more in-depth analysis of gender roles. Such findings highlight the fact that the coaching profession should be based not only on technical knowledge but also on psychological and social dimensions.Öğe COMBINING HIGH-FIDELITY SIMULATION AND STANDARDIZED PATIENT SIMULATION AS A HYBRID TEACHING STRATEGY: EFFECTS ON NURSING STUDENTS' ANXIETY, KNOWLEDGE, AND SKILLS(Nobel Ilac, 2026) Erbas, Atiye; Celik, Sevilay SenolObjective: The aim of this study was to determine the effects of high-fidelity simulation and hybrid methods on the anxiety levels, knowledge, and skills of nursing students providing postoperative care to patients with cervical spinal trauma. Material and Method: This quasi-experimental, prospective, controlled study included 48 senior nursing students, who were divided into three groups (control, simulation, and hybrid). Study data were collected using the State-Trait Anxiety Inventory, knowledge forms, and skill assessment forms. Data were analyzed using the paired t-tests, two-factor MANOVA, and one-way ANOVA. Results: The results indicated significant improvements in trait anxiety and knowledge scores before and after training, as well as after the simulation application (p<0.05), for both the simulation and hybrid groups. Changes in state anxiety (F=22.365, p<0.001), trait anxiety (F=4.637, p=0.014), and knowledge scores (F=78.371, p<0.001) were significant independent of group, and within-group analyses showed that both groups benefited from the intervention. Additionally, the hybrid group achieved higher mean practice scores than the simulation group after the simulation application (t=- 2.84, p=0.008). Conclusion: Although the study found all simulation methods effective in improving knowledge, the hybrid simulation method was more effective in improving skills. Hybrid simulation methods involving standardized patients should be considered a particularly effective teaching approach in surgical nursing education to prepare nursing students for their future professional practice.Öğe Investigation of the Relationships Among Maternal Anxiety, Infantile Colic and Sociodemographic Characteristics of the Family(Medcom Ltd, 2026) Kurt, F.; Teberik, C.; Kaya, A.Introduction: Infantile colic (IC) is a functional gastrointestinal disorder characterised by excessive crying episodes during the first months of life with an unknown aetiology. Despite the absence of identifiable organic pathology, IC may lead to psychological problems such as anxiety and depression, particularly in mothers, and can adversely affect parent-infant interactions. This study aimed to investigate the associations between maternal anxiety levels during pregnancy and the development of infantile colic, as well as the potential influence of certain paternal risk factors. Methodology: In this prospective observational study, a total of 210 mother-infant pairs were evaluated. Maternal gestational age and sociodemographic characteristics were recorded, and the Beck Anxiety Inventory (BAI) was administered during pregnancy. Between the 5th and 8th weeks postpartum, mothers were contacted via telephone to assess signs of infantile colic in their babies. For suspected IC cases, parents were asked to keep a crying diary, and the infants were invited to the clinic for physical examination and laboratory evaluation. Infants meeting Wessel's criteria were diagnosed with IC. Results: Infantile colic was significantly more prevalent among infants whose mothers experienced high levels of anxiety during pregnancy. Furthermore, the incidence of IC was greater in infants whose fathers smoked or consumed alcohol. Mothers who had previously had a child diagnosed with IC reported higher anxiety scores. Cesarean delivery rates were also elevated among mothers with high anxiety levels. Conclusion: This study suggests that maternal anxiety during pregnancy may be a significant risk factor for the development of infantile colic. Additionally, environmental and behavioral factors related to the father may also contribute to the aetiology of IC. These findings highlight the importance of psychosocial interventions targeting both maternal and paternal factors.Öğe Novel Variants in F10 and DMGDH Genes in a Child with Mild Factor X Deficiency and Familial Episodic Pain Syndrome(Medcom Ltd, 2026) Cakmak, H. M.Purpose: To describe the clinical, laboratory, genetic, and familial features of a child with mild factor X deficiency and associated multisystem findings. Methods: A 6-year-old boy with daily epistaxis underwent coagulation testing, family evaluation, pedigree analysis, and exome sequencing. Findings: Prothrombin time was prolonged, activated partial thromboplastin time was normal, and factor X activity was 20.3%. The father and sister also had prolonged prothrombin time, supporting familial inheritance. Exome sequencing identified a novel heterozygous F10 variant, F10 (NM_000504.4):c.785G>A, p.(Gly262Asp), classified as likely pathogenic. Additional variants were detected in DMGDH, TRPA1, and TNFRSF13B, correlating with fish-like odor with muscle fatigue and familial episodic pain. No immunological work-up, including serum immunoglobulin measurements, was available in this report; therefore, the TNFRSF13B finding was interpreted cautiously and was not considered diagnostic of CVID or another primary immunodeficiency. Pedigree analysis showed recurrent bleeding and episodic pain on the paternal side. Conclusions: This case expands the molecular spectrum of F10-related disease and supports exome-based evaluation in families with bleeding and multisystem phenotypes when routine coagulation studies and family history suggest a broader inherited disorder in affected relatives.Öğe Sex Estimation Based on Optical Channel Parameters from Computed Tomography Images with Machine Learning Algorithms(Soc Chilena Anatomia, 2025) Ozturk, Oguzhan; Harmandaoglu, Oguzhan; Kaya, Seren; Secgin, Yusuf; Senol, Deniz; Colakoglu, Serdar; Onbas, OmerThe skull is one of the most dimorphic and anatomically informative bones for sex estimation and shows resistance to taphonomic processes. This study aims to estimate sex using machine learning (ML) algorithms based on morphometric measurementof the optic canal (OC)-a clinically significant canal within the sphenoid bone that transmits the optic nerve and ophthalmicrtery. aThis retrospective study was conducted on CT from 260 adults (130 females and 130 males, aged 18-65). The images were obtained from the PACS archive of the Department of Radiology, Faculty of Medicine, D & uuml;zce University, covering the years 2019 to 2025.Sixteen bilateral morphometric parameters of the temporal bone were measured in axial and coronal planes. Data were analysed oususing vari ML algorithms, and classification performance was compared. On the 20 % test set, ML models achieved over 81 % accuracy;icLogist Regression performed best with 90 %. In 10-fold cross-validation, all algorithms exceeded 74 %, with LR again reaching theest highat 89 %. Decision Tree yielded the lowest accuracy. SHapley Additive exPlanations (SHAP), which facilitates interpretable machinelearning, revealed that the right-sided OC-midsagittal distance had the greatest predictive impact. Morphometric data from the OChighprovide accuracy and strong potential for sex estimation. The study also highlights sex-and population-based variation in OC Theseposition. findings may be relevant in clinical and forensic contexts, particularly in forensic anthropology, ophthalmology, and legalmedicine.Öğe Sustainable Polymer Composites: Bio-Additive Reinforced Glass Fiber Materials for Household Utensils Optimization Using Machine Learning Approach(Wiley, 2026) Karasungur, Halit; Konada, Naresh Kumar; Oktem, Hasan; Uygur, IlyasThe escalating global consumption of plastics necessitates a paradigm shift toward sustainable materials that do not compromise on performance. This research pioneers the development of bio-additive polymer composites for kitchenware, employing a data-driven methodology to optimize their formulation and properties. Four distinct composites were engineered using polypropylene (PP) and acrylonitrile butadiene styrene (ABS) matrices, bio-enhanced with coffee dust or tea fiber (2%), and reinforced with glass fiber (12%). These formulations PPC, PPCGF, ABSTF, and ABSTFG were fabricated via injection molding and rigorously characterized through tensile, flexural, and impact testing. A cornerstone of this study was the implementation of a Python-based analytical framework for the critical evaluation of the sample data. Custom algorithms were developed to process and correlate the multi-faceted experimental results, mechanical properties, melt flow, and 3D optical dimensions. This computational approach enabled the application of machine learning models to identify optimal process parameters and predict mechanical performance. Furthermore, correlation analysis and principal component analysis (PCA) quantitatively deconstructed the complex interplay of material constituents, validating the dominant role of glass fiber in enhancing composite stiffness and strength. The findings not only demonstrate a viable pathway for high-performance, eco-compatible composites but also establish a robust digital blueprint for accelerated material innovation.Öğe Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models(Wiley, 2026) Secgin, Yusuf; Cakmak, Muhammet; Senol, Deniz; Kaya, Seren; Ozturk, Oguzhan; Harmandaoglu, Oguzhan; Onbas, OmerThe aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior-inferior and right-left. MobileNetV2, DenseNet201, and ResNet101 traditional deep learning models and the proposed MobileNetV2+Multilayer Perceptron (MLP) and MobileNetV2+MLP+t-distributed Stochastic Neighborhood Embedding (t-SNE) based hybrid deep learning models were trained with the training set. The training was performed both with and without right-left side discrimination. The performance of each model was evaluated and compared. The highest accuracy rate of 91% was obtained in the training with both proposed hybrid models without side discrimination. The highest success rate obtained with the proposed models was 88%. The lowest accuracy rates were achieved with ResNet101. The accuracy rate was 81% in the analysis with side discrimination and 83% in the analysis without discrimination. According to Grad-Cam, the extremitas sternalis tip contributed the most to accuracy. In this study, MobileNetV2+MLP and MobileNetV2+MLP+t-SNE provided highly accurate results in sex prediction. This approach is a potential new method that can be used in sex estimation, especially in forensic medicine, as it allows the collection of features with MobileNetV2, classification with MLP, visualization with t-SNE, and observation of errors without metric measurement, directly from the superior and inferior available images of the clavicle.Öğe Sustainable Alternatives to 6-PPD? Assessing the Viability of Lignin and Propyl Gallate as Green Substitutes for 6-PPD Used as Anti-Ozonant and Antioxidant in the Rubber Industry(Wiley, 2026) Altundal, Gasim; Gerengi, Husnu; Solomon, Moses M.; Elibol, Pinar Sevim; Demir, Emine; Savci, Kerem; Cagil, DogacThe tire antioxidant, N-(1,3-dimethylbutyl)-N '-phenyl-p-phenylenediamine (6-PPD), poses a severe environmental threat due to its conversion to 6-PPD-quinone, a compound highly toxic to aquatic life. Propyl gallate and lignin are bio-derived compounds advocated as alternatives for 6-PPD. This study presents a comprehensive side-by-side evaluation of propyl gallate and lignin against 6-PPD, assessing their material performance and leaching potential. Rheological and mechanical testing reveal significant trade-offs: while propyl gallate offered superior processing safety by increasing scorch time by over 40%, it drastically altered the vulcanizate's properties, reducing tensile strength by 20% and modulus by 46% while increasing elongation by 35%. Lignin's performance is closer to 6-PPD, maintaining mechanical properties but increasing compound viscosity. Crucially, leaching studies quantified via LC-MS reveal that propyl gallate migrated substantially from the rubber, with 4.1 ppm detected in water after 216 h. Under the same conditions, leaching of the 6-PPD is negligible, though its environmental transformation pathway differs. Lignin leaching is confirmed, but its complex polymeric nature prevented quantification, a key analytical challenge. The results demonstrate that replacing 6-PPD is fraught with compromise; no drop-in alternative currently satisfies the dual mandate of technical performance and environmental safety, underpinning the need for further innovation and ecotoxicological assessment of new compounds.Öğe Metal Ion-Engineered Carbon Quantum Dots From Hazelnut Shell via Solid-State Synthesis for Efficient OLED Devices(Wiley, 2026) Cengiz, Fatmanur Uyumaz; Turksoy, Figen; Tekin, Emine; Utkan, Guldem; Cengiz, Erhan Sukru; Yumusak, Gorkem; Kahraman, Memet VezirIn this study, we report a scalable and green solid-state synthesis of nitrogen-doped carbon quantum dots (CQDs) from hazelnut shell biomass, using citric acid and urea as carbon and nitrogen sources. Controlled BaCl2 and ZnCl2 doping was applied to tailor nucleation, crystallinity, and surface chemistry. Structural analyses (FTIR, XRD, STEM, XPS, and DLS) revealed that BaCl2-assisted CQDs exhibited higher graphitization, narrower size distribution (7-13 nm), and fewer defects, while ZnCl2-assisted CQDs showed more amorphous and heteroatom-rich surfaces. Optical measurements indicated strong pi-pi* absorption (approximate to 280 nm), bright blue emission (lambda(em) 405-412 nm), and quantum yields of 63.4% (BaCl2) and 50.1% (ZnCl2), with > 95% stability after 30 days. When used as OLED emissive layers, BaCl2-CQDs achieved a luminous efficiency of 0.75 cd A(-1), nearly four times that of ZnCl2-CQDs (0.20 cd A(-1)), despite lower maximum luminance (48.9 vs. 308.1 cd m(-2)). These results highlight metal ion-assisted nucleation as an effective strategy to engineer CQD properties and enhance device performance, paving the way for sustainable, scalable OLED technologies.Öğe Electrophysiological Monitoring of Multifurcated Recurrent Laryngeal Nerve With Motor Multibranches(Wiley, 2026) Gurleyik, Emin[Abstract Not Available]Öğe Bleaching of Hazelnut Oil Before and After Deacidification(Wiley-V C H Verlag Gmbh, 2026) Yanik-turan, Zuhre Nur; Kantekin-erdogan, Meryem Nur; Tekin, AzizHazelnut oil extracted from hazelnut fruits is refined to enhance its edible properties. Bleaching is one of the key refining steps for high-acid oils such as hazelnut oil because they are generally subjected to physical refining. This study aimed to investigate the effects of earth type and deacidification on hazelnut oil quality during bleaching. For this purpose, degummed and deacidified hazelnut oils were subjected to bleaching using neutral and acid-activated clays at various ratios (1.25%, 2.50%, and 3.75%). Deacidification was achieved using a molecular distillation (MD) unit, and the free fatty acid (FFA) content of degummed hazelnut oil was reduced from 12.6% to 2.24%. The MD process also effectively decreased peroxide value (PV) and tocopherol content, which were also reduced by bleaching treatments. More tocopherol loss and peroxide decomposition were also observed with acid-activated clay during bleaching; the latter resulted in triene conjugation. Using acid-activated earth increased stigmastadiene formation by the removal of one molecule of water from the sterols. Besides, distilled oil lost more tocopherol after this process than non-distilled oil. Distillation did not affect color values, while bleaching earth and ratio considerably affected their reductions.Practical Applications: High-acid oils are generally refined with physical methods such as degumming, bleaching, and distillation to reduce refining loss. Pre-deacidification, performed by distillation, is applied to these oils before or after bleaching to reduce the free fatty acid content to less than 2%. This study examines the impact of the sequence of distillation and bleaching treatments, as well as the type of earth and ratio, on the quality of hazelnut oil. The findings indicated that the application of distillation before bleaching did not affect the color removal during bleaching; however, this method resulted in greater tocopherol losses compared to applying distillation after bleaching. Tocopherols are known to play a protective role against lipid oxidation, and therefore, their reduction is considered undesirable for maintaining oil quality.Öğe 1,2,4-Triazole-Acetamide Conjugates as hEGFR Inhibitors: Synthesis, Anticancer Evaluation, and In Silico Studies(Wiley-V C H Verlag Gmbh, 2026) Bulbul, Bahadir; Kulabas, Necla; Gurboga, Merve; Ozakpinar, Ozlem Bingol; Cakmak, Ummuhan; Tuncay, Fulya Oz; Kucukguzel, IlkayA series of novel 1,2,4-triazole-acetamide derivatives was synthesized and evaluated for anticancer and hEGFR inhibitory activity. The compounds were obtained via multistep synthesis and characterized by spectroscopic methods. Cytotoxicity was tested against PC-3, MCF-7, A549, and K562 cell lines. Compounds 18, 19, and especially 24 showed notable antiproliferative effects, with compound 24 exhibiting higher selectivity and potency than gefitinib. It also induced apoptosis and inhibited migration in A549 and PC-3 cells, while selectively promoting invasion in PC-3, suggesting EMT-related behavior. In vitro kinase assays revealed compound 20 as the most potent hEGFR inhibitor (IC50 = 43.8 +/- 1.3 nM). Molecular docking and 200 ns molecular dynamics simulations confirmed its stable interaction with EGFR, particularly involving Cys797. These findings highlight compounds 20 and 24 as promising candidates for further development as EGFR-targeted anticancer agents.Öğe A Phase-Scalable Interleaved High-Gain Non-Isolated DC-DC Converter for Green Energy Applications(Wiley, 2025) Uzun, Berat; Akar, FurkanHigh-gain non-isolated DC-DC converters are critical in renewable energy applications, but existing topologies often face challenges in modularity, common grounding, and input current minimization, limiting their scalability and practical implementation. This paper introduces a novel phase-scalable, interleaved high-gain converter derived from the quasi Z-source (qZc) structure, which connects qZs cells in parallel at the input and in series at the output. The proposed topology provides uniform interleaving, modularity, and common grounding, addressing key limitations of existing solutions. Analytical modeling, small-signal analysis, and control design are employed to implement a two-phase prototype, experimentally validated at 200 W. Results demonstrate stable operation over a 30- to 40-V input range, with a regulated 200-V output and reduced input ripple. The proposed architecture enables scalable voltage gain, reduced current stress, and simplified control for multi-phase expansion. These findings highlight both the novelty and practical applicability of the converter, offering a versatile solution for modern renewable energy systems.Öğe Transfer Learning-Based Modulation Recognition From a Data Wisdom Perspective for Disaster Case Management(Wiley, 2025) Leblebici, Merih; Calhan, Ali; Cicioglu, MurtazaWireless networks offer significant advantages in disaster scenarios, enabling critical communication for rescue operations in emergencies like earthquakes, floods, and hurricanes. Technologies such as cognitive radios can address communication challenges in such high-stakes environments, with modulation recognition techniques enhancing reliability in disaster responses. This study focuses on deep learning for modulation recognition, a task complicated by the need to balance recognition accuracy and system complexity. A comprehensive dataset was developed, covering eight modulation schemes across varying signal-to-noise ratios (SNR) from -15 to 25 dB, represented as image data in both in-phase/quadrature (IQ) and radius-r/angle-theta () domains. Using transfer learning with convolutional neural network (CNN)-based architectures like ResNetV2 models (50, 101, and 152 layers), which are pre-trained on ImageNet, the models were adapted for this specific task. Performance metrics, including accuracy, precision, recall, and F1 scores, show that as SNR exceeds 5 dB, these models achieve over 50% accuracy, nearing perfection at 20 dB in either IQ or domains. However, in low SNR conditions, the domain transformation demonstrates superior recognition advantage, with the models achieving up to 86% accuracy gain at -5 dB. Ultimately, the transformation significantly enhances recognition performance, proving essential for reliable modulation recognition in complex communication scenarios.Öğe Epilepsy knowledge as an independent predictor of attitudes toward epilepsy among health services students: A cross-sectional study(Wiley, 2026) Kilic, Umit; Bayram, SerapBackground Epilepsy is one of the most common neurological disorders worldwide and is frequently accompanied by stigma and misconceptions. Negative attitudes toward individuals with epilepsy may adversely affect social integration, access to healthcare, and quality of life. Healthcare students represent future professionals whose knowledge and attitudes may influence both patient care and stigma reduction.Objective This study aimed to examine the relationship between epilepsy-related knowledge and attitudes among health services vocational school students and to determine whether knowledge independently predicts attitudes toward epilepsy.Methods This cross-sectional study was conducted among students enrolled in a health services vocational school. Data were collected using a structured questionnaire including sociodemographic characteristics, an Epilepsy Knowledge Scale, and an Attitude Toward Epilepsy Scale. Multivariate regression analyses were performed to identify independent predictors of attitudes while adjusting for demographic and experiential variables.Results Higher levels of epilepsy-related knowledge were significantly associated with more positive attitudes toward epilepsy. In multivariate analysis, knowledge score remained the only significant independent predictor of attitudes, whereas demographic and experiential factors were not independently associated with attitudes toward epilepsy.Conclusion Epilepsy-related knowledge appears to play a key role in shaping attitudes among health services vocational school students. Educational strategies aimed at improving epilepsy knowledge may contribute to reducing stigma and promoting more supportive attitudes among future healthcare professionals.Öğe Evaluation of Knowledge About Human Papillomavirus and Vaccination Among Women Screened for Cervical Cancer(Wiley, 2026) Kucukceran, Hatice; Demirbas, Nur; Karaoglu, Nazan; Cihan, Fatma Goksin; Hamzaoglu, Fatma Kilic; Demir, Emine TurenBackground In Turkiye, every sexually active woman between the ages of 30 and 65 is screened for cervical cancer free of charge every five years. However, the Human papillomavirus (HPV) vaccine has not yet been included in the national vaccination calendar. Aims This study aimed to determine the knowledge of women screened for cervical cancer about HPV and the HPV vaccine. Methods In this cross-sectional study, a questionnaire consisting of a demographic information form, HPV vaccination status, and the HPV Knowledge Scale was administered to women aged 30-65. The scale has three subscales: 'General HPV Knowledge', 'HPV Test Knowledge', and 'HPV Vaccine Knowledge'. Data analysis included the Chi-square test for categorical data and the Mann-Whitney U test for numerical data. Results Of the women involved in the study, 482 in number, 55.6% of them (n = 268) had been previously screened for cervical cancer. Only 1.9% (n = 9) had the HPV vaccine, and insufficient information was the most frequent reason for not being vaccinated (73.4%; n = 354). Among those who had previously been screened for HPV, 83.6% (n = 224) reported receiving information about HPV, and 67.5% (n = 181) reported receiving information about the HPV vaccine. General HPV and HPV test knowledge subscale scores were higher among those who had been screened (p < 0.001), but there was no difference in HPV vaccine knowledge subscale scores between those who had been screened and those who had not (p = 0.977). Conclusion Cervical cancer screening did not appear to have affected the level of knowledge regarding HPV vaccination. Subsequent studies can investigate the impact of providing standard HPV vaccine information during screening on vaccination rates.Öğe Influence of Lakeside Recreational Activities on the Quality of Lake Water: A Case Study of Yedigöller National Park(Wiley-V C H Verlag Gmbh, 2026) Akin, Ozcan; Ozcan, Mehmet; Cetin, Gulcan; Sarginci, Murat; Uzun, Serir; Cetin, Bilal; Muderrisoglu, HaldunThis study examined the influence of leisure activities on the aquatic quality of lakes within Yedig & ouml;ller National Park. Beginning in May 2022, a systematic collection of water samples was conducted on a monthly basis throughout a year-long period, wherein a multitude of parameters, including water temperature, dissolved oxygen, conductivity, pH, turbidity, suspended solids, total nitrogen, total phosphorus, chlorophyll-a, and Secchi depth, were meticulously analyzed. The findings indicated that recreational activities had no statistically significant influence on the examined water quality parameters. Moreover, no significant variations in water quality parameters were identified between regions with high levels of recreational use and those with low levels of participation. This finding suggests that the current level of recreational activity does not negatively influence the aquatic quality of lakes in the Yedig & ouml;ller Region. However, it has been observed that seasonal variations have a significant impact on specific water quality parameters. This finding emphasizes the importance of considering seasonal dynamics for the effective management and preservation of lake ecosystems.Öğe Treatment of waste plastic recycling facility wastewater via pre-coagulated electrooxidation process(Wiley, 2026) Sahiner, Oguz; Can, Orhan Taner; Solak, MuratWastewater generated in the washing units of waste plastic recycling facilities exhibits a complex composition due to high concentrations of organic pollutants, thereby necessitating advanced treatment strategies. Consequently, identifying effective treatment technologies capable of achieving high total organic carbon (TOC) removal efficiencies for such wastewater is of critical importance. In this study, the hypothesis that a hybrid treatment approach involving the sequential application of chemical coagulation (CC) and electrooxidation (EO) could enable efficient and high-performance TOC removal from waste plastic recycling wastewater (WPRW) was systematically evaluated. During the pretreatment stage, two coagulants were examined, among which aluminium chloride (AlCl3) yielded the highest TOC removal efficiency (40.8%). Subsequently, the EO process was conducted using boron-doped diamond (BDD) and platinum-iridium oxide (Pt-IrO2) electrodes. The effects of key operational parameters, including electrode type, applied current (0.5-2 A), pH, and mixing speed (200-800 rpm), on TOC removal were investigated. Following AlCl3 coagulation, maximum TOC removal efficiencies of 89.19% and 63.41% were achieved using BDD and Pt-IrO2 electrodes, respectively, under optimum conditions (pH 6, 20 A/m2). Energy consumption analysis revealed that higher mixing speeds allowed the use of lower current densities without compromising TOC removal, indicating substantial potential for process-level energy optimization. The specific energy consumption (SEC) ranged from 0.01 to 0.28 kWh/kg TOCremoved for the BDD electrode and from 0.03 to 0.40 kWh/kg TOCremoved for the Pt-IrO2 electrode. Overall, the BDD anode exhibited high treatment efficiency and energy economy, making AlCl3-assisted BDD electrooxidation a promising approach for plastic recycling wastewater treatment.Öğe Sustainable Lignocellulose-Derived Carbon Quantum Dots with Controlled Ba/Zn Doping as High-Performance Emissive Layers for OLEDs(Wiley-V C H Verlag Gmbh, 2026) Cengiz, Fatmanur Uyumaz; Utkan, Guldem; Tekin, Emine; Turksoy, Figen; Cengiz, Erhan Sukru; Kahraman, Memet VezirOrganic light-emitting diodes (OLEDs) offer lightweight, flexible, and high-performance displays but face challenges such as high production cost and limited operational stability. Here, we present a sustainable one-step solid-state synthesis of nitrogen-doped carbon quantum dots (CQDs) from lignocellulosic biomass using citric acid and urea. Controlled BaCl2 and ZnCl2 doping tunes CQD crystallinity, surface chemistry, and optical properties. Structural analyses (XRD, STEM, XPS) show BaCl2 promotes graphitized, crystalline CQDs, whereas ZnCl2 yields amorphous, oxygen-rich structures. Ba-doped CQDs exhibit strong blue emission, high quantum yield (60.2%), and superior OLED device performance (256 cd m- 2), highlighting the role of metal-ion-assisted nucleation in enhancing charge transport and exciton recombination. This study provides a green, scalable route to high-efficiency CQD-based OLEDs.Öğe Predicting the potential geographic distribution of Fagus orientalis Lipsky under climate change using an ensemble model approach in Türkiye(Springer Heidelberg, 2025) Koc, IsmailOriental beech (Fagus orientalis Lipsky) is an ecologically and economically significant species, covering 8.5% of T & uuml;rkiye's total forest area. However, climate change threatens its distribution due to increasing temperatures and decreasing precipitation. This study integrates geospatial informatics and ensemble modeling (EM) to predict the potential geographic distribution (PGD) of F. orientalis under future climate scenarios using Biomod2 within the ShinyBIOMOD framework. An EM model has been developed from six models [Generalized Boosting Model (GBM), Generalized Linear Model (GLM), Multivariate Adaptive Regression Splines (MARS), Generalized Additive Model (GAM), Artificial Neural Networks (ANN), and Maximum Entropy (MaxEnt)] using 76 validated occurrence records and 19 environmental predictors. Model validation achieved high predictive accuracy (AUC = 0.96, TSS = 0.85). Spatial projections for SSP2-45 and SSP5-85 scenarios indicate significant shifts in PGD. Notably, high-suitability habitats will decline under SSP2-45 but expand under SSP5-85. Bio2 [Mean Diurnal Range (mean of monthly (maximum temperature - minimum temperature))] and Bio4 [Seasonal temperature fluctuation (temperature seasonality (standard deviation x 100))] emerged as the dominant drivers of distribution changes. Based on geospatial analyses, F. orientalis is expected to migrate to higher altitudes in the Black Sea region and expand into southern and inner T & uuml;rkiye. This shift reflects a broader trend of temperate forest adaptation to climate change. This study underscores the power of ensemble modeling for ecological forecasting and conservation planning, demonstrating the value of computational tools in assessing climate-driven species distribution changes. The findings contribute to predictive modeling for biodiversity conservation and ecosystem management.
