WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14720/3

Browse

Now showing 1 - 20 of 12512

Comparative Effects of Intra-Articular Administration of Vitamin C, Vitamin D, and Hyaluronic Acid in an Experimental Osteoarthritis Model in Rats
(Arquivo Brasileiro Medicina veterinaria Zootecnia, 2025) Sancak, T.; Yildiz, F.; Gurbuz, H. O.; Ozmen, V.; Ari, H. H.; Alkan, I.
Osteoarthritis (OA) is a chronic disease characterized by inflammation or cartilage deterioration in joints, leading to debilitating, movement-associated pain and degenerative changes in joint cartilage, bone, and other surrounding tissues, caused by factors such as joint injury, aging, obesity, and heredity. Various agents are used in OA treatment. In this study, hyaluronic acid, vitamin C and vitamin D were used in different combinations. A total of 32 rats were used in the study. After osteoarthritis was experimentally induced in the rats under general anesthesia, they were randomly divided into eight groups. Then, the preparations were administered intra-articularly as a single dose according to the groups. The study was terminated after 21 days. The tissues collected post-study were examined histopathologically. According to the histopathological findings of the study, the preparations provided mild cartilage tissue regeneration when applied individually, moderate regeneration when used in pairs, and significant regeneration and new bone trabecula formation when used in a triple combination.
Synergistic Potential of GLP-1 Receptor Agonists and Radiotherapy in Breast Cancer Treatment: a New Therapeutic Avenue: TROD-GROG 006
(Elsevier Ireland Ltd, 2025) Atasoy, Ozum; Anadol, Elvan; Saglam, Atiye S. Yar; Akdemir, Eyub Y.; Sengun, Yasemin; Atak, Ece; Guney, Yildiz
Autonomous Weapon Systems: a Legal Challenge for International Humanitarian Law
(Kafkas University Iibf, 2025) Bayar, Erdal
The increasing deployment of artificial intelligence (AI) technologies has highlighted the need for the adaptation of legal frameworks and the rectification of regulatory deficiencies. The implementation of these technologies in the military domain and the diminishment of human oversight over weaponry given rise to a multitude of debates, particularly in the realms of law and ethics. There has been considerable worldwide resistance to the dehumanization of individuals into objects, stereotypes, and data points by lethal robots aimed at humans. This study will examine the novel security dangers presented by artificial intelligence driven military technology and autonomous weapon systems (AWS) within the framework of Ulrich Beck's Risk Society theory and International Humanitarian Law. In conclusion, the increasing deployment of AI technologies in civilian and military contexts presents both opportunities and risks that demand attention, particularly given the ethical concerns and debates surrounding autonomous weapons systems (AWS) due to the current deficiencies in international legal regulations.
Efficient Solution for Multi-Delay Fractional Optimal Control Problems Via Cubic B-Splines
(Wiley, 2025) Lakestani, Mehrdad; Tuntas, Remzi
In this article, we address multi-delay fractional optimal control problems using cubic B-spline functions. First, the properties of cubic B-spline functions are presented, and their operational matrices for derivatives of both ordinary and fractional orders are derived. These matrices are then utilized to transform the original problem into an optimization problem, which is subsequently converted into a system of algebraic equations using Lagrange multipliers. The approximate solution is obtained by solving this algebraic system. Numerical results are provided to demonstrate the validity, effectiveness, and stability of the proposed method.
Preferences for Facades of Historic Building: Example of Gevaş, Turkey
(E-iph Ltd Uk, 2023) Taysun, Berfin; Bayram, Sevin; Danaci, Hacer Mutlu; Oktay, Hilmi Ekin
In this study, research of Akdamar Church, Izzettin Sir Mosque, Halime Hatun Vault, Altinsac Village Churches, St. Thomas Church, Garmravank Church and Deveboynu Monastery located in the Geva5 district of Van province in Turkey.Facades of historic buildings are a valuable aspect of the historic landscape aesthetics despite on that literature about the facades of this type of buildings is rare. 412 questionary has been done in online sessions. Results showed that restored building facades have more preferred than others, factor analyses yield 3 different factors based on the preference scores. Based on the preference for photos and photo ratio analyses, regression analyses have shown doom and tree ratios are a significant aspect of the preference for historic landscapes. Results showed preservation is an essential aspect of the preferences of Historic buildings.
Effect of Intradialytic Dietary Support on Nutritional Status, Muscle Strength, and Clinical Markers in Patients on Hemodialysis: a Cross-Sectional Study
(Bmc, 2025) Usakli, Saadet; Mirioglu, Safak; Dincer, Mevlut Tamer; Karatas, Beril; Karaca, Cebrail
Background Intradialytic nutritional support influences nutritional status, muscle strength, and related clinical outcomes in patients undergoing hemodialysis (HD). This study aims to compare the effects of intradialytic nutrition on patient outcomes, malnutrition and sarcopenia risks, and handgrip strength (HGS) in HD patients. Methods A cross-sectional study was conducted involving 129 HD patients (62 receiving intradialytic nutritional support and 67 not) from two HD centers located in the same geographic region. Nutritional status was assessed using the MNA-SF, while physical performance was evaluated with SARC-F and HGS. Biochemical markers, including serum albumin, phosphorus, potassium, and hemoglobin (Hb) levels, were measured. Results The group receiving intradialytic nutritional support had significantly higher serum albumin (4.0 [3.7-4.2] g/dL vs. 3.5 [3.2-3.7] g/dL; p < 0.001, respectively) and potassium levels (5.6 [5.1-6.2] mmol/L vs. 5.0 [4.7-5.4] mmol/L; p < 0.001, respectively) compared to the group not receiving support. Phosphorus levels were similar between the two groups (4.8 [3.8-6.1] mg/dL vs. 5.3 [4.5-5.2] mg/dL; p = 0.059, respectively). The nutritional support group had lower Hb levels (10.9 +/- 1.7 g/dL vs. 11.8 +/- 2.0 g/dL; p = 0.008, respectively) and required higher doses of erythropoiesis-stimulating agents (32.0 [24.0-48.0] IU/monthx10(3) vs. 24.0 [18.0-33.0] IU/monthx10(3); p = 0.046, respectively). No significant differences were observed between the groups for MNA-SF and SARC-F scores (13.0 [12.0-14.0] vs. 14.0 [12.0-14.0]; p = 0.608, 5.0 [3.0-7.0] vs. 4.0 [2.0-6.0]; p = 0.053, respectively). The number of patients below the HGS cut-off (27/16 kg) was significantly lower in the nutritional support group (25 [40.3%] vs. 40 [59.7%]; p = 0.028, respectively), and the difference between groups was more pronounced in male patients in terms of median handgrip strength values. The nutritional support group had a higher rate of receiving social financial assistance (45 [72.6%] vs. 37 [55.2%]; p = 0.041) and a higher weekly protein intake. Conclusion Intradialytic nutritional support was associated with higher serum albumin levels and handgrip strength, with the latter being more prominent among male patients. However, potassium levels were found to be higher in the nutritional support group, which may present a clinical concern and warrants further monitoring. No significant differences were observed in malnutrition or sarcopenia risk. These findings highlight the potential benefits and limitations of intradialytic nutritional interventions and provide a basis for future prospective studies.
The Effect of Epilepsy Awareness on Attitudes Toward Individuals With Epilepsy in Turkish Society: a Case Study From Northern Turkey
(Wiley, 2025) Gunduz Oruc, Fatma; Atan, Gulden
ObjectiveThe aim of this study ws to examine the level of knowledge (awareness) about epilepsy in Turkish society and its impact on attitudes toward individuals with epilepsy.MethodsThe study was designed as a descriptive and cross-sectional research. The sample consisted of individuals aged 18-70 (n = 563) in a city in northern Turkey, surveyed between January and June 2024. Data were collected using a Personal Information Form, an Epilepsy Knowledge Scale (EKS), and a Public Attitudes Toward Epilepsy Scale (PATE). Simple linear regression analysis was employed to determine the effect of knowledge on attitudes.ResultsParticipants' knowledge level was found to be moderate at 48.2%, while their negative attitude levels were low at 27%. It was determined that the level of knowledge about epilepsy has a significant negative effect on attitudes (F[1, 561] = 123.461; p < 0.001), with an explanatory rate (R2) of 0.180.SignificanceThe study identified a moderate level of knowledge and a low level of negative attitudes toward epilepsy in Turkish society. Furthermore, as the level of knowledge increased, negative attitudes toward individuals with epilepsy decreased.Plain Language SummaryThe study found that individuals in Turkish society have a moderate level of knowledge about people with epilepsy (PWE). It was determined that their negative attitudes are at a low level. As the level of knowledge about epilepsy increases in Turkish society, it was observed that the negative attitude toward PWE decreases. It was determined that women, those with higher incomes, and those who have encountered an PWE have more knowledge about epilepsy. It was also observed that those with higher incomes, those who are young or young adults, those who are single, and those who have witnessed an epileptic seizure have developed more positive attitudes toward PWE.
Cloud Energy Storage System Enabled Interactive Scheduling of Smart Homes/Buildings and Microgrids To Maximize Photovoltaic Energy Harvesting
(Taylor & Francis Ltd, 2025) Khoshniyyat, Saeid; Majidzadeh, Maryam
This manuscript establishes an optimal model aiming at minimizing the energy consumption costs of microgrids (MGs) by incorporating the interactions between MGs and the main grid. The smart homes/buildings, inside the MGs, are hosting renewable photovoltaics (PVs), targeting their energy harvesting maximization. Based on data sharing possibility, higher flexibility is contemplated through cloud-based energy storage system (CESS). Thanks to CESS presence, a shared pool of energy charging and discharging is made economically justified for the MGs enabling interactive energy transactions. Here, PV energy exploitation is first dedicated for local loads, say as fixed loads and controllable appliances. Then, the PV surplus power is deemed to be sold to the main grid or stored in CESS to be used at peak time intervals. In the case of surplus energy toward the main grid, the reverse flow could instigate voltage rise in the point of common coupling of MG to the LVDS. This issue would jeopardize the MG's safe operation and lower the PV harvesting percentage. Proper technical constraints are hence included which would contribute to a wiser charging/discharging of CESS, the reverse flow intensity would be relieved, and the voltage rise would be diminished. Detailed simulation studies are tailored in depth.
HSCU-Based 31-Level Multilevel Inverter Design With Soft Charging Capability
(Springer, 2025) Karakilic, Murat; Hatas, Hasan
In this paper, a two-stage hybrid switched capacitor (SC)-based MLI topology is proposed to overcome the fundamental problems of conventional multilevel inverters (MLIs) such as high-power component count and the need for multiple DC sources. First, the proposed hexagonal switched capacitor unit (HSCU) achieves 300% voltage gain and does not require any additional balancing circuitry. This structure can generate three different DC bus voltages from a single DC source using only four power switches, two diodes and two capacitors. A 31-level SC-MLI topology is developed by coupling two HSCUs with a PUC circuit in a hybrid structure. Capacitors generate high peak currents in the charging loops. The proposed HSCU suppresses the charging current peaks with soft charging cell (SCC). The results show that SCC successfully reduces the current peaks and improves the circuit performance. The proposed topology achieves 96.14% efficiency while significantly reducing the number of components and is found to offer a lower cost solution compared to existing studies in literature. The performance of the proposed SC-MLI is verified by simulation and experimental results, and the output waveform integrity is maintained in tests at different frequencies, modulation indices and load conditions. The results prove that this topology is low-cost, highly efficient and suitable for practical applications.
The Effect of Virtual Reality Headsets on Breast Milk Production and Anxiety in Mothers of Preterm Infants
(Bmc, 2025) Eker, Asli; Karadeniz, Ebru Yildiz; Askan, Fahri
Objective This study aimed to evaluate the effect of virtual reality (VR) headsets on breast milk production and anxiety levels in mothers of preterm infants admitted to the neonatal intensive care unit (NICU). Methods This quasi-experimental study included 30 mothers whose preterm infants (30-37 weeks of gestation) were admitted to the NICU at Van Yuzuncu Yil University Dursun Odabas Medical Center between November 2, 2023, and June 1, 2024. Mothers expressed their first milk of the day for three days, and the volume was recorded using the Breast Milk Quantity Monitoring Form. The State-Trait Anxiety Inventory (STAI) was administered before milking. After three days, mothers underwent VR relaxation sessions (10 min daily) for three consecutive days, followed by milk expression and volume recording. The STAI was re-administered on the final day. Results Post-VR anxiety scores were significantly lower than pre-VR scores (t = 5.487, p < 0.001). Breast milk volume increased significantly after VR sessions (z = 4.553, p < 0.001). A moderate negative correlation was found between anxiety and milk quantity (r = -0.394, p = 0.031). Multivariable analyses showed that prior breastfeeding experience and education level influenced milk volume. Conclusion VR headsets may reduce anxiety (p < 0.001) and enhance breast milk production (p < 0.001) in mothers of preterm infants in the NICU. Further research with larger samples and longer interventions is needed to confirm these findings and optimize VR's role in maternal health.
A Comprehensive Bibliometric Analysis of Big Data and Cyber Security: Intellectual Structure, Trends, and Global Collaborations
(Springer London Ltd, 2025) Koca, Murat; Ciftci, Sabahattin
The rapid growth of the big data ecosystem and the increasing complexity of cyber threats need a thorough examination of research at the intersection of these two domains. This study conducts a multidimensional bibliometric analysis within the framework of the keywords "Big Data" and "Cybersecurity" based on 3354 publications published in the Web of Science Core Collection database between 1975 and 2025. Structures such as document kinds, trends in publication and citation, most influential studies, clusters of keywords, collaboration networks, country and institution contributions, and discipline distribution were all thoroughly examined as part of the investigation. The results indicate that conference proceedings constitute the predominant document type, with China and the USA leading in publication and impact. Authors like Kim-Kwang Raymond Choo exhibit significant influence, and collaboration networks are predominantly clustered in Asia and North America. In addition, conceptual clusters obtained from abstracts define the Big Data-Cybersecurity relationship in terms of data privacy, intrusion detection, and IoT integration. This study both makes structural gaps in the literature visible and provides guiding insights for researchers, practitioners, and policymakers.
AI-Driven Food Safety Risk Prediction: a Transformer-Based Approach With RASFF Database
(Emerald Group Publishing Ltd, 2025) Sari, Omer Faruk; Bader-El-Den, Mohamed; Leadley, Craig; Esmeli, Ramazan; Mohasseb, Alaa; Ince, Volkan
PurposeThis study aims to enhance food safety risk classification by systematically evaluating the effectiveness of machine learning and transformer-based AI models using the RASFF dataset. While AI-powered surveillance has gained attention, most research focuses on isolated applications of machine learning without systematically comparing them to advanced transformer architectures. This research addresses this gap by evaluating the predictive accuracy and interpretability of the model to ensure that AI-driven risk assessments are both effective and transparent for regulation.Design/methodology/approachThe study employs a structured evaluation framework in which traditional machine learning models, including logistic regression, support vector machines and random forest, are compared with advanced transformer-based models such as BERT, RoBERTa and BioBERT. Additionally, explainable AI (XAI) techniques, particularly SHAP analysis, enhance the interpretability of the models by identifying the key food safety risk factors that influence classification decisions.FindingsTransformer-based models significantly outperform traditional machine learning methods, with RoBERTa achieving the highest classification accuracy. The SHAP analysis highlights key hazards salmonella, aflatoxins, listeria and sulphites as primary factors in serious risk classification, while procedural attributes like certification status and temperature control are less impactful. Despite improvements in accuracy, computational efficiency and scalability remain challenges for real-world deployment.Originality/valueWe introduce a novel end-to-end AI framework that integrates state-of-the-art transformers with Explainable AI for the RASFF database. By integrating explainable AI, it bridges the gap between AI research and regulatory implementation and provides actionable insights for policymakers and industry stakeholders to improve risk management and early hazard detection.
The Effect of Protocatechuic Acid on Nephrotoxicity Induced by Gentamicin in Rats
(Springer, 2025) Mert, Handan; Cibuk, Salih; Yildirim, Serkan; Mert, Nihat
Gentamicin (GM) is an aminoglycoside antibiotic widely used to treat gram-negative infections. Oxidative stress is known to play an important role in the nephrotoxicity of gentamicin. Therefore, the aim of this study was to investigate the possible protective effect of protocatechuic acid (PCA), which is believed to have antioxidant properties, on nephrotoxicity induced by gentamicin. For this purpose, 32 rats were randomly divided into four groups: control (oral physiological saline), PCA (20 mg/kg orally), GM (80 mg/kg/day/i.p.), GM+PCA (80 mg/kg/day/i.p. GM and 20 mg/kg PCA orally). The sampling period was eight days. Blood samples were collected for biochemical analysis and kidney samples for immunohistochemical and histopathological examination. Serum levels of urea, creatinine, Na, K and Cl were measured using an autoanalyzer, while analyses of malondialdehyde (MDA), advanced oxidation protein products (AOPP), gutathione (GSH), superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) were analyzed by ELISA. While the values of urea (p<0.001), creatinine (p<0.001), MDA (p<0.05) and AOPP (p<0.05) decreased in the GM+PCA group compared to the GM group, the values of GSH (p<0.05) and GPx activity (p<0.05) increased. In conclusion, in GM-induced nephrotoxicity, PCA prevented lipid peroxidation and protein oxidation, increased GSH levels and GPx activity, and reduced tubular epithelial necrosis, glomerular atrophy, 8-OHdG and Kim-1 expression in renal cells, according to histopathological and immunohistochemical results. This study once again highlighted that PCA is a good antioxidant, and it can be said that PCA has a protective effect against nephrotoxicity caused by GM.
Optimization of the Solution Components Using in the Wet Wipes by the Response Surface Methodology for Reduce the Harmful Effects on the Environment
(Wiley, 2025) Aldemir, Adnan; Seker, Sabiha Betul
In this research, optimization of the solution chemicals used in wet wipes was carried out with response surface methodology (RSM). Surface-active chemicals such as monopropylene glycol (MPG) and cocamidopropyl betaine, protective mixture such as phenoxyethanol-benzoic acid-dehydroacetic acid chemicals, and ethylenediaminetetraacetic acid (EDTA) were selected independent variables, and pH values were used as response. Experimental design was created with the Design Expert program, and central composite design (CCD), which is part of RSM, was applied to determine the optimum conditions. Wet wipes samples were prepared with different concentrations of chemical solutions, which were applied to dry fabrics by drip method. pH measurements and microbiological analyses of prepared wet wipes were carried out, and the results were evaluated for the level to be supplied to the market. The measured pH values of wet wipes were processed in the program, and the created three-dimensional (3D) figures were interpreted. The analysis of variance (ANOVA) analysis examined the interaction between response and independent variables with the program. pH values calculated with the optimization solutions and experimentally measured were compared, and differences between pH values were less than 5%. The optimum concentrations of solution chemicals (g/mL), PBD conc. (X1), EDTA conc. (X2), MPG conc. (X3), and betaine conc. (X4) of wet wipes were determined as 0.823, 0.197, 0.122, and 0.949, respectively. The results showed that RSM is a suitable method for the optimization of solution chemicals used in wet wipes. It was observed that there was growth in the dry fabrics without adding any solution, but no microorganisms were detected on wet wipes samples prepared for optimization, which were suitable for the market because the amount of protective mixture in microbiological cultivation provided full protection.
Early Surgical Intervention in Pediatric Trauma Patients With GCS 3 - Results of 8 Years Experience
(Elsevier, 2025) Boyraz, Merve; Yuce, Servet; Ozel, Abdulrahman; Ormeci, Mehmet Tolgahan; Ozen, Hasan; Akkaya, Sueleyman; Botan, Edin
Objectives: Traumatic brain injury (TBI) is the leading cause of death and disability in children. Mortality and morbidity increase dramatically in patients with severe brain injury and a Glasgow Coma Scale (GCS) score of 3. This study evaluates the impact of early surgery (within 0-6 h) on mortality and morbidity in this patient group, often considered "hopeless cases." Methods: Children with TBI and a GCS score of 3 admitted to the Pediatric Intensive Care Unit of Van Training and Research Hospital between 2016 and 2024 were retrospectively analyzed. Medical records, imaging studies, and outcomes were reviewed. Mortality and neurological sequelae were assessed within one year using the Glasgow Outcome Scale (GOS). Results: Among 514 children admitted with isolated head trauma, 11.3 % (n = 58) had a GCS score of 3. Twelve patients (20.7 %) died within the first 4 h due to hemodynamic instability and were excluded. Of the remaining 46 patients, 14 (30.4 %) underwent cranial surgery, while 32 (69.6 %) received medical treatment. Mortality rates were 50 % (7/14) in the surgical group and 71.8 % (23/32) in the medical group (p = 0.137). Neurological sequelae were significantly lower in the surgical group (14.3 % vs. 77.8 %, p = 0.020). Early surgery (within 6 h) resulted in lower mortality (25 % vs. 83.3 %, p = 0.005) and better neurological outcomes, with all survivors discharged neurologically intact. In contrast, the only survivor operated on after 6 h had neurological sequelae. Conclusion: Early decompressive craniectomy (within 6 h) significantly reduces mortality and neurological sequelae in pediatric patients with severe TBI (GCS: 3). These patients should not be dismissed as "hopeless" but given the opportunity for surgical intervention.
Design, Synthesis, and Evaluation of Benzoxazole-Linked Pyrazole Hybrids as VEGFR-2 Antiproliferative Agents
(Humana Press inc, 2025) Deniz, Elif; Coven, Furkan Ozan; Erguc, Ali; Karakus, Fuat; Kuzu, Burak
In this study, a series of benzoxazole-linked pyrazole compounds (20a-t) were synthesized and tested for their antiproliferative activity. Their effects on lung cancer (A549) and normal lung (CCD-34Lu) cell lines were evaluated using the MTT assay. Among them, compounds 20m and o showed strong antiproliferative effects, with IC50 values of 7.64 and 15.82 mu M, respectively, and selectivity indices of 2.84 and 1.95 in favor of cancer cells. ELISA tests demonstrated that both compounds statistically significantly reduced VEGFR-2 protein levels by 24.8 and 28.7% at their respective IC50 values, indicating potential antiangiogenic properties. Molecular docking studies supported these findings by showing favorable binding of 20m and o to the VEGFR-2 receptor, with binding energies of -7.33 kcal/mol and -7.22 kcal/mol, respectively. Overall, compounds 20m and o stand out as promising candidates for further development as anticancer drugs.
Between Theory and Practice: American Muslims and the Limits of American Civil Religion
(Sage Publications inc, 2025) Duzce, Mesut
This study aims to evaluate the theoretical claims of American Civil Religion (ACR) in the context of the sociological experiences of American Muslims. The lack of sufficient research on ACR's potential to include minority groups underscores the significance of this study. The research examines how ACR's core values-unity, inclusivity, equality, and diversity-are reflected in the experiences of American Muslims. It is based on semi-structured interviews with 16 American Muslims in Phoenix, Arizona. The findings reveal that while ACR theoretically presents itself as a unifying and inclusive narrative, it was often perceived to operate in ways that exclude certain religious and ethnic groups. Participants highlighted that ACR's rhetoric is Christian-centric, weakening the sense of social belonging among American Muslims. Furthermore, ACR is perceived not only as exclusionary but also as a factor complicating social cohesion for minority groups. In conclusion, this study emphasizes the need to reassess ACR's theoretical claims in light of American Muslims' lived experiences. It contributes to ACR literature and broader sociological discussions on the relationship between minority groups and religious frameworks.
Review: Recent Developments in 2D Mxene-Filled Bioinspired Composites for Biomedical Applications
(Springer, 2025) Akinay, Yuksel; Topuz, Mehmet; Gunes, Umit; Gokdemir, Muhammet Enver; Cetin, Tayfun
Two-dimensional carbide- and nitride-based MXene materials have become some of the most studied materials in interdisciplinary fields due to their superior properties. This review comprehensively discusses recent advances in MXene materials such as bioinspired coating films, scaffolds, and electrochemical activities for use in biomedical fields. MXene consists of multilayer 2D nitride, carbide, or carbonitride flakes with excellent electrical conductivity, large surface area, and good mechanical properties. Bibliometric studies have revealed a sharp increase in the number of publications and citations, having reached 15,831 records as of February 2025. Notably, the number of citations surged from under 20 in 2012 to over 222,000 in 2024. Due to being two-dimensional materials with superior physicochemical and biological properties, MXenes are also being increasingly used in biomedical and engineering applications. They have been reported to be ideal for such biomedical applications as corrosion-resistant biofilms, biocompatibility, low toxicity, drug delivery, and tissue engineering. In addition, MXene-based scaffolds have emerged as a promising material for bone tissue engineering due to their extraordinary mechanical durability, biocompatibility, and adjustable surface properties. By aiding tissue regeneration and preventing infections, MXene scaffolds have also been found to exhibit enhanced drug delivery and antibacterial properties. Recent advances in materials science have focused on creating bioinspired structures with multifunctionality. Taking into account MXenes' multilayered structures and functional surfaces, unique physicochemical properties have been designed by learning from nature to produce bioinspired materials. This article comprehensively reviews biomedical applications of such 2D MXene materials as bioinspired coating films, scaffolds as biosensors, drug delivery, cancer treatments, and tissue regeneration.
Distribution of Fan Mussel (Pinna Nobilis) Population in the Sea of Marmara
(Wiley, 2025) Karadurmus, Ugur; Akkus, Mustafa; Sari, Mustafa
The fan mussel (Pinna nobilis Linnaeus, 1758), a species severely affected by mass mortality events caused by Haplosporidium pinnae since 2016 throughout the Mediterranean Sea, continues to survive in isolated areas. The Sea of Marmara (SoM) represents one of the largest areas where alive fan mussels persist in high density. This study addresses critical data gaps by investigating the spatial distribution patterns and ecological characteristics of fan mussels in the SoM, providing a foundation for long-term monitoring and conservation initiatives. The dataset was generated through underwater surveys conducted between June and September 2024, covering approximately 35,000 m(2) across 144 stations along 1300 km of coastline in the entire SoM. Using non-destructive observational methods, 4748 fan mussels were recorded, 90.5% of which were alive. Spatial distribution patterns revealed distinct clustering, with an average density of 12.1 ind/100 m(2) and a maximum density of 122.1 ind/100 m(2) in specific hotspot areas. A strong association with seagrass habitats was evident, with 84.4% of the population found in these areas. The population structure was predominantly adult, with similar to 70% of individuals exceeding 10 cm in shell length, while recruits smaller than 10 cm represented 9.2%. The findings highlight the high density, low mortality rate and strong recruitment capacity of fan mussel populations in the SoM. This study provides the first comprehensive underwater observation-based mapping of fan mussel populations across the entire SoM and identifies new areas critical to their conservation.
The Role of Anti-Mullerian Hormone in Van Cats in Relation to Sex and Reproductive Status
(Wiley, 2025) Yildiz, Mehmet; Koca, Davut; Yildiz, Busra Nur Kilic; Isik, Muhammed Zeyd; Turgut, Ali Osman; Cetin, Yunus
The present study aimed to evaluate anti-Mullerian hormone (AMH) concentrations in female and male Van cats. The study included six groups: prepubertal female cats, pubertal female cats, spayed female cats, prepubertal male cats, pubertal male cats and neutered male cats. A total of 42 Van cats were included in the study, with 7 cats in each group. Blood samples were collected from the cephalic vein of all animals, and AMH concentrations were measured from serum using the ELISA test. The highest AMH levels were observed in the prepubertal cats (p < 0.001). AMH concentrations were 14.33 ng/mL in prepubertal female cats and 31.91 ng/mL in prepubertal males (p < 0.001). In pubertal cats, AMH concentrations were 6.61 ng/mL in female cats and 10.27 ng/mL in males, with no significant difference between the sexes (p > 0.05). The lowest AMH levels were observed in neutered cats (p < 0.001). AMH concentrations were 0.109 ng/mL in spayed female cats and 0.096 ng/mL in neutered male cats, with no significant difference between the two groups (p > 0.05). In conclusion, the highest AMH concentrations were observed during the prepubertal period in both female cats and male cats. Furthermore, prepubertal males had significantly higher AMH levels than female cats. Measuring AMH concentrations in Van cats may help determine their reproductive status (prepubertal, pubertal or neutered).

Browse

Recent Submissions