Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Güler, Ömer(24)
- Tekin, H.O.(19)
- ALMisned, Ghada(18)
- Kocabaş, Mehmet(13)
- Baykal, Duygu Sen(11)
- Alkarrani, Hessa(10)
- Serdar, Osman(10)
- Yayla, Nihal(10)
- Kilic, G.(9)
- Özkul, İskender(9)
- Guler, Omer(7)
- Kocabaş, Filiz Kutluyer(7)
- Utku, Anıl(7)
- Çelikel, Baha Engin(7)
- Acar, Ramazan(6)
- Aglar, Erdal(6)
- Canbay, Canan Aksu(6)
- Garipcan, Ali Murat(6)
- Karaduman, Oktay(6)
- Koç, Ali(6)
- Özçiçek, Esin(6)
- Aydın, Ayşe Nur(5)
- Kutluyer Kocabaş, Filiz(5)
- Sarı, Sacit(5)
- Sezer, Süreyya Yonca(5)
- Sezgin, Eray Ekin(5)
- Yılmaz, Coşkun(5)
- Zengin, Gokhan(5)
- Akgül, Ceylan Sülü(4)
- Alataş, Mevlüt(4)
- Aslan, Naim(4)
- Batan, Nevzat(4)
- Cakilcioglu, Ugur(4)
- Ceylan, Tülay(4)
- Dal, Murat(4)
- Ertarğın, Merve(4)
- Ezer, Tülay(4)
- Gul, Muhammet(4)
- Kalay, Ece(4)
- Konurhan, Zekeriya(4)
Yayınlar
- Derleme MakaleAçık Erişim2025Scopus SJRQ1Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
Uyanik, Hakan; Sengur, Abdulkadir; Salvi, Massimo; Tan, Ru-San; Tan, Jen Hong; Acharya, U. Rajendra
Mental and neurological disorders significantly impact global health. This systematic review examines the use of artificial intelligence (AI) techniques to automatically detect these conditions using electroencephalography (EEG) signals. Guided by Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), we reviewed 74 carefully selected studies published between 2013 and August 2024 that used machine learning (ML), deep learning (DL), or both of these two methods to detect neurological and mental health disorders automatically using EEG signals. The most common and most prevalent neurological and mental health disorder types were sourced from major databases, including Scopus, Web of Science, Science Direct, PubMed, and IEEE Xplore. Epilepsy, depression, and Alzheimer's disease are the most studied conditions that meet our evaluation criteria, 32, 12, and 10 studies were identified on these topics, respectively. Conversely, the number of studies meeting our criteria regarding stress, schizophrenia, Parkinson's disease, and autism spectrum disorders was relatively more average: 6, 4, 3, and 3, respectively. The diseases that least met our evaluation conditions were one study each of seizure, stroke, anxiety diseases, and one study examining Alzheimer's disease and epilepsy together. Support Vector Machines (SVM) were most widely used in ML methods, while Convolutional Neural Networks (CNNs) dominated DL approaches. DL methods generally outperformed traditional ML, as they yielded higher performance using huge EEG data. We observed that the complex decision process during feature extraction from EEG signals in ML-based models significantly impacted results, while DL-based models handled this more efficiently. AI-based EEG analysis shows promise for automated detection of neurological and mental health conditions. Future research should focus on multi-disease studies, standardizing datasets, improving model interpretability, and developing clinical decision support systems to assist in the diagnosis and treatment of these disorders.
AtıfScopus58OpenAlex46
İncele - MakaleAçık Erişim2025Scopus SJRQ2Effect of neodymium addition on the structural, mechanical, and magnetic properties of FeCoNiCu(MnCr)0.5 high entropy alloys
Yayla, Nihal; Şimşek, Telem; Boyrazlı, Mustafa; Güler, Ömer
Neodymium (Nd), a rare earth element, was incorporated into the [FeCoNiCu(MnCr)0.5] high-entropy alloy (HEA) at weight percentages of 0.5%, 1%, 2%, and 5%. The alloys were synthesized successfully using the arc melting method. X-ray diffraction (XRD) analysis confirmed that both the undoped and Nd-doped alloys exhibit a single-phase solid solution with a face-centered cubic (FCC) crystal structure, consistent with thermodynamic predictions derived from the Miedema model. Scanning electron microscopy (SEM) revealed a dendritic structure in the undoped alloy, which was replaced by Cu- and Cr-rich regions in the 5% Nd-doped alloy, as confirmed by energy dispersive spectroscopy (EDS). Differential scanning calorimetry (DSC) indicated an endothermic peak in the undoped alloy and minor thermal responses in Nd-doped samples, without distinct phase transitions within the 0–800 °C range. Mechanical testing demonstrated substantial enhancements in both hardness and tensile strength with increasing Nd content. The 5% Nd-doped alloy exhibited the highest performance, achieving a Vickers hardness of 370 HV and a tensile strength of 1186 MPa. Magnetic testing indicated ferromagnetic behavior in all samples, with Nd additions significantly enhancing magnetic properties. Notably, the 5% Nd-doped alloy achieved a saturation magnetization (Ms) of 41 emu/g and a coercivity (Hc) of 6.3 Oe, highlighting improved magnetic softness and rapid magnetization loss characteristic of soft magnetic materials.
AtıfScopus2WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ2Effects of Teach-Back intervention on teachers’ epilepsy knowledge, attitudes, self-efficacy, and first aid practices
Gürçayır, Dilek; Karabulut, Neziha; Söylemez, Nilgün
Purpose: This study investigates not only the impact of first aid training but also how the Teach-Back method influences teachers’ overall epilepsy knowledge, attitudes toward epilepsy, and self-efficacy in managing epileptic seizures. Methods: A total of 166 preschool teachers who filled out the questionnaire form and gave their consent were included in the study between April and June 2022. A quasiexperimental single-group pre-test post-test design was used in the study, Data were collected using the questionnaire form, Epilepsy Knowledge Scale, Childhood Epilepsy Attitude Scale and General Self-Efficacy Scale. The research data were collected by the researchers through face-to-face interviews. Results: It was determined that the rate of correct answers given by preschool teachers to most questions about first aid practices in epileptic seizures increased significantly after the training (p < 0.05). There was a significant improvement in preschool teachers’ first aid practices at the end of the training compared to before the training. The mean score of the Epilepsy Knowledge Scale before the training was 11.16 ± 4.04, after the training was 14.59 ± 2.08, and the difference was statistically significant (p < 0.001). The mean Childhood Epilepsy Attitude Scale score before the training was 47.90 ± 4.02, after the training was 51.53 ± 4.55, and the difference was statistically significant (p < 0.001). Conclusion: Epilepsy education significantly improved teachers’ knowledge and attitudes towards childhood epilepsy. However, the increase in general self-efficacy remained limited. This situation reveals the necessity of practical and long-term programs in addition to theoretical education.
AtıfScopus2WoS2OpenAlex2
İncele - MakaleAçık Erişim2025Scopus SJRQ2Synthesis, microstructural refinement, and shielding optimization of Gd2O3-reinforced AISI 316L stainless steel: a multi-dimensional integration assessment for targeted protection applications
Yayla, Nihal; Albayrak, M Gökhan; Güler, Ömer; Sen Baykal, Duygu; Alkarrani, Hessa; ALMisned, Ghada; Issa, Bashar; Tekin, H.O.
This study investigates the multi-dimensional effects of increasing Gd2O3 reinforcement on the structural, mechanical, and gamma-ray shielding properties of AISI 316L stainless steel composites. Samples with varying Gd2O3 content (1%, 5%, 10%, and 20% by weight) were synthesized and characterized through x-ray diffraction (XRD), scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDS) to assess the microstructural changes and homogeneity of Gd2O3 dispersion after mechanical milling. The addition of Gd2O3 significantly enhanced the gamma-ray shielding properties, with the mass attenuation coefficient (MAC), linear attenuation coefficient (LAC), and half-value layer (HVL) improving as the Gd2O3 content increased, particularly in low to moderate photon energy ranges. Simultaneously, the elastic modulus exhibited an inverse relationship, decreasing with higher Gd2O3 content due to the lower stiffness of gadolinium compared to iron. Transmission factor (TF) values also decreased, indicating enhanced photon attenuation with higher Gd2O3 content across various thicknesses. The experimental characterization confirmed improved Gd2O3 dispersion and material uniformity after mechanical milling, contributing to the composites’ superior radiation shielding performance. It can be concluded that Gd2O3-reinforced AISI 316L stainless steel composites offer a promising balance between enhanced radiation shielding properties and reduced mechanical stiffness, making them ideal candidates for applications requiring efficient and adaptable radiation protection especially for portable and non-structural shielding applications.
AtıfScopus3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Unraveling user perceptions and biases: A comparative study of ML and DL models for exploring twitter sentiments towards ChatGPT
Baker, Mohammed Rashad; Utku, Anil
ChatGPT is a powerful chatbot that used to generate human-like text. Chat GPT, developed by OpenAI, can answer many questions honestly, like a personal teacher who knows almost everything. It can perform various tasks such as question and answer, solving mathematical equations, writing text, debugging, and translating between languages. Compared to traditional chatbots, ChatGPT has been adopted by many users since its introduction. Some users feel that ChatGPT will override most content creation professions. This study analyzed users’ feelings about ChatGPT by analyzing tweets shared about ChatGPT. For this purpose, a hybrid Deep Learning (DL) model was developed using Convolutional Neural Networks (CNN) and Bi- Long Short-Term Memory (Bi-LSTM) models. The study has been compared with a number of DL and Machine Learning algorithms, LSTM, Bi-LSTM, CNN, Gated Recurrent Unit, Random Forests and Support Vector Machines. The experimental outcomes demonstrated that, the FastText-trained CNN-Bi-LSTM model exceeded the other models in terms of accuracy, reaching 96.59%.
AtıfScopus18WoS11OpenAlex13İncele - MakaleAçık Erişim2025Scopus SJRQ2Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs
Küçük, Deniz Bora; Imak, Andaç; Özçelik, Salih Taha Alperen; Çelebi, Adalet; Türkoğlu, Muammer; Sengur, Abdulkadir; Koundal, Deepika
Background/Objectives: The integration of digital imaging technologies in dentistry has revolutionized diagnostic and treatment practices, with panoramic radiographs playing a crucial role in detecting impacted teeth. Manual interpretation of these images is time consuming and error prone, highlighting the need for automated, accurate solutions. This study proposes an artificial intelligence (AI)-based model for detecting impacted teeth in panoramic radiographs, aiming to enhance accuracy and reliability. Methods: The proposed model combines YOLO (You Only Look Once) and RT-DETR (Real-Time Detection Transformer) models to leverage their strengths in real-time object detection and learning long-range dependencies, respectively. The integration is further optimized with the Weighted Boxes Fusion (WBF) algorithm, where WBF parameters are tuned using Bayesian optimization. A dataset of 407 labeled panoramic radiographs was used to evaluate the model’s performance. Results: The model achieved a mean average precision (mAP) of 98.3% and an F1 score of 96%, significantly outperforming individual models and other combinations. The results were expressed through key performance metrics, such as mAP and F1 scores, which highlight the model’s balance between precision and recall. Visual and numerical analyses demonstrated superior performance, with enhanced sensitivity and minimized false positive rates. Conclusions: This study presents a scalable and reliable AI-based solution for detecting impacted teeth in panoramic radiographs, offering substantial improvements in diagnostic accuracy and efficiency. The proposed model has potential for widespread application in clinical dentistry, reducing manual workload and error rates. Future research will focus on expanding the dataset and further refining the model’s generalizability.
AtıfScopus36OpenAlex34İncele - MakaleAçık Erişim2025Scopus SJRQ4Protective Effect of Sumac and Terebinth Extracts Against the Negative Effects of Breast Cancer on Cardiac Tissues of in Rats; [Efecto protector de los extractos de zumaque y terebinto contra los efectos negativos del cáncer de mama en los tejidos cardíacos de ratas]
Erişir, Figen Erdem; Aydın, Sevinç; Tuzcu, Zeynep; Yılmaz, Ökkeş
Due to the toxic side effects of chemotherapeutic drugs used in breast cancer, interest in medicinal plants has increased in order to develop alternative cancer drugs. The experimental model of this study was created to observe the remedial impacts of the Terebinth (Pistacia terebinthus L.) and the Sumac (Rhus coriaria L.) plants against the negative effects of 7,12-Dimethylbenz[a]anthracene induced breast cancer on cardiac tissues in rats. For this purpose, the levels of malondialdehyde were analyzed the indicator of the oxidative stress breast cancer will cause on cardiac tissues, the catalase, glutathione transferase and superoxide dismutase enzymes, glutathione, which holds and important place among antioxidant impacts and proteins. At the end of the study, it was determined that there was an increase in malondialdehyde levels, a decrease in glutathione and protein amounts, and a decrease in antioxidant enzyme levels in rats treated with cancer-induced 7,12-Dimethylbenz[a]anthracene.
- MakaleYalnız künye2025Scopus SJRQ2Phylogenetic analysis of the nrDNA ITS and cpDNA rbcL sequences of some endemic Dianthus (Caryophyllaceae) species from Türkiye
Sevindik, Emre; Güner, Özal; Yolcu, Seher; Başköse, İsa; Paksoy, Mehmet Yavuz; Khadivi, Ali; Tunç, Yazgan; Yaman, Mehmet
In this study, the phylogenetic relationship of four species of Dianthus genus which are endemic and distributed in Türkiye, including D. zederbaueri Vierch, D. varankii Hamzaoğlu & Koç, D. halisdemirii Hamzaoğlu & Koç, and D. goekayi Kaynak, was determined using nuclear DNA (nrDNA) internal transcribed spacer (ITS) and chloroplast DNA (cpDNA) rbcL regions. After sampling from the plant, DNA was extracted and the ITS (ITS4-ITS5A) and rbcL (rbcLaF-rbcLaR) primers were used to perform PCR amplification. Sequencer 5.4.6. was used to edit the sequences. MEGA 11 software was used to determine the nucleotide ratios, genetic distance matrix, and π = nucleotide diversity. Some species of Dianthus available in the National Center for Biotechnology Information (NCBI) were used to construct maximum likelihood (ML) phylogenetic trees. As a result, based on the ITS analysis π = nucleotide diversity was determined as: 0.001543, and the result of the rbcL analysis π = nucleotide diversity was determined as: 0.000000. In the ITS results, D. halisdemirii, D. superbus, and D. varankii appeared together, while D. zederbaueri and D. aculeatus appeared together. The rbcL results showed that D. zederbaueri and D. varankii were closely related, but the relationship between D. halisdemirii and D. goekayi could not be determined. Furthermore, in the phylogenetic tree constructed by taking the ITS and rbcL sequences of Dianthus, Gypsophila, Silene, Arenaria, Saponaria, Cerastium, Stellaria, Petrorhagia, Minuartia, Agrostemma, and Polycarpon species from NCBI using ITS and rbcL sequences, our endemic Dianthus species appeared in the same group with Petrorhagia, Gypsophila, and Saponaria species. To conclude, our ITS and rbcL results were consistent in determining the phylogenetic relationships of our Dianthus species with other species.
AtıfScopus1İncele - MakaleAçık Erişim2025Scopus SJRQ1Effect of Ferula sp. on sperm cryotolerance, quality, and fatty acid composition in common carp (Cyprinus carpio)
Ölçülü, Abdullatif; Özçiçek, Esin; Kutluyer Kocabaş, Filiz; Kızak, Volkan; Kocabaş, Mehmet; Yılmaz, Ökkeş
Ferula sp. is a perennial herbaceous plant and is used in traditional medicine owing to their antimicrobial, antiviral, aphrodisiac and spermatogenic activities in the world. Hence, Ferula sp. was used in the present study for cryopreservation protocol as a herbal supplement. The impact of different concentrations [0 mM (Control), 30 µg L−1, 60 µg L−1, 90 µg L−1] of Ferula sp. extract on the quality and fatty acid (FAs) composition was assessed in fresh and cryopreserved sperm of Cyprinus carpio. Optimal supplementation of Ferula sp. at a concentration of 60 µg L−1 in the freezing extender significantly improved post-thawed sperm quality of C. carpio. Sperm motility parameters were assessed using the sperm class analyzer system. The fatty acid (FAs) content in sperm was analyzed using gas chromatography. The results revealed that the increases in motility rate (80.0 ± 3.54%) at 60 µg L−1 were increased significantly (p < 0.05). Significant differences in sperm parameters [(VCL: curvilinear velocity, VSL: straight line velocity, VAP: average path velocity, and BCF: beat cross frequency)] were observed between the different treatments (p < 0.05). The Monounsaturated fatty acids (MUFAs) showed a slight increase in comparison to fresh spermatozoa during cryopreservation. DHA (Docosahexaenoic acid), LA (Linoleic acid) and ARA (Arachidonic acid) were identified as the major PUFAs (polyunsaturated fatty acid) in the sperm plasma membrane, and however the total PUFAs reduced all treated compared to fresh sperm samples after post-thawing. Overall, the supplementation with Ferula sp. to extender at a concentration of 60 µg L−1 positively influenced the motility parameters and FAs levels during cryopreservation and, Ferula sp. may act as a promising protective substance for the conservation of valuable fish genetic resources.
AtıfScopus1İncele - MakaleAçık Erişim2025Scopus SJRQ2Localization of phoenixin-14 and nesfatin-1, known as pleiotropic peptides, in some central and peripheral organs of female and male rats
Esen, Engin; Parlak Ak, Tuba; Yaman, Mine
Neuropeptides are diverse neuronal signaling molecules that regulate cellular and physiological functions. Phoenixin (PNX) and Nucleobindin 2 (NUCB2)/nesfatin-1, which are known to co-localize and interact in some hypothalamic nuclei such as arcuate nucleus (ARC) and paraventricular nucleus (PVN), have important pleiotropic roles. The aim of this study was to investigate the immunohistochemical distribution of these neuropeptides in biological tissues of adult female and male rats. For this purpose, a total of 12 Spraque-Dawley rats, 6 female and 6 male, aged 3–4 months, were sacrificed and hypothalamus, pituitary, brain, cerebellum, adrenal gland, ovary and testis tissues were taken. Serum gonadotropin-releasing hormone (GnRH), plasma PNX-14, and NUCB2/nesfatin-1 concentrations showed no statistically differences between sexes. PNX-14 immunoreactivity was more prominent in the ARC of male rats, whereas NUCB2/nesfatin-1 immunoreactivity was markedly higher in the PVN of females. In the anterior pituitary, PNX-14 and NUCB2/nesfatin-1 staining was more intense in females relative to males. PNX-14 immunoreactivity in the brain was quite high in female and male rats, and this immunoreactivity in the cerebellum was low in both sexes. NUCB2/nesfatin-1 exhibited moderate immunoreactivity in these organs in both sexes. In the adrenal cortex of both sexes, PNX-14 immunoreactivity was quite intense, while NUCB2/nesfatin-1 was a moderate intensity. PNX-14 immunoreactivity was more intense in the ovary, whereas NUCB2/nesfatin-1 immunoreactivity was more prominent in the testis. In conclusion, we demonstrated the immunohistochemical localization of PNX-14 and NUCB2/nesfatin-1 neuropeptides, in conjunction with serum GnRH levels, in organs associated with the hypothalamic-pituitary-gonadal (HPG) and hypothalamic-pituitary-adrenal (HPA) axes of adult male and female rats.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ4A Classification of N(κ)-contact Metric Manifolds with T-curvature Tensor
Ünal, İnan; Altın, Mustafa; Pandey, Shashikant
In this study, we consider various geometric conditions associated with the vanishing of a generalized curvature tensor, namely the T-tensor, on N(κ)-contact metric manifolds. We define and analyze several types of T-flatness conditions, including T-flat, ξ-T-flat, quasi-T-flat, and φ-T-flat structures. By applying these flatness conditions, we obtain algebraic constraints on the curvature parameters, particularly involving the Ricci tensor. The resulting characterizations allow for the classification of N(κ)-contact metric manifolds as either Einstein or η-Einstein, depending on the specific values of the structure constants. These investigations also lead to deeper insights into the geometric structure and local isometry types of the manifolds under study.
AtıfScopus1OpenAlex1
İncele - MakaleAçık Erişim2025Scopus SJRQ1Blending effects of boron carbide and lanthanum(III) oxide reinforcements on the structural, physical, mechanical, and radiation shielding properties of 316L-stainless steel composites for nuclear applications
ALMisned, Ghada; Yayla, Nihal; Albayrak, M.Gökhan; Güler, Ömer; Baykal, Duygu Sen; Alkarrani, Hessa; Tekin, H.O.
Four composite samples were fabricated, maintaining 10 % B4C and varying La2O3 content from 0 % to 20 %. X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray Spectroscopy (EDX) analyses confirmed the successful incorporation of reinforcements, preserving the austenitic structure of 316L-SS. Elastic modulus calculations revealed a gradual reduction from 225.0 GPa to 215.0 GPa with increasing La2O3 due to clustering and reduced homogeneity. Gamma-ray shielding properties demonstrated significant improvements, particularly at low and intermediate photon energies, with Sample 4 with 20 % La2O3 addition, achieving a 13.6 % higher linear attenuation coefficients (LAC) at 0.015 MeV. Neutron shielding highlighted Sample 4 as one of the most effective materials, outperforming conventional alloys. This study demonstrates the potential of 316L Stainless-Steel (316L-SS) + B4C + La2O3 composites as multifunctional materials for radiation-intensive applications, offering superior attenuation and structural stability. It can be concluded that optimization of reinforcement distribution would play an important role in balancing mechanical and shielding performance in next-generation nuclear materials.
AtıfScopus5OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ2Comprehensive performance assessment of Bi- and Pb-based alloys for enhanced Gamma-Ray and neutron shielding applications
ALMisned, Ghada; Susoy, Gulfem; Baykal, Duygu Sen; Kilic, G.; Güler, Ömer; Tekin, H.O.
This comprehensive study investigates the radiation attenuation properties of various bismuth (Bi) and lead (Pb) based alloys, with a focus on identifying superior shielding materials for nuclear safety and industrial radiation protection. The research encompasses an in-depth analysis of seven alloys, namely GTSB5, Sn%40Bi, Bi50Sn50, A1, PbAl-4, Safe Alloy, and P1, assessing their efficacy in gamma-ray and neutron attenuation. Utilizing some computational tools, various parameters such as mass and linear attenuation coefficients, half and tenth value layer values, effective atomic and electron numbers, buildup factors, and transmission values were evaluated. Our findings highlight Alloy P1's outstanding performance, attributed to its high density (11.05 g/cm3) and optimized elemental composition, including Silver (Ag). In addition, P1 demonstrates exceptional gamma-ray attenuation across multiple energy spectra and superior neutron shielding capabilities, evidenced by its significant fast neutron removal cross-section (∑R, 0.12003 1/cm). The study revealed that the addition of Ag enhances the photon and beta particle absorption capacity, positioning P1 as a promising material in radiation shielding applications. The correlations between alloy density and gamma-ray shielding properties were particularly notable, with P1's density contributing to its enhanced attenuation capabilities. Furthermore, P1's lower half value layers (1.14469 cm) and tenth value layers (3.80256 cm) at 15 MeV indicate its efficiency in reducing radiation intensity with minimal material thickness.
AtıfScopus3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Determination of the Effect of Nanoparticle Copper on Navicula cryptocephala var. veneta by Biomarkers and Bioaccumulation Amounts
Serdar, Osman; Aydın, Ayşe Nur; Ölçülü, Abdüllatif; Çiçek Çimen, Işıl Canan; Parlak Ak, Tuba; Derman, Taner; Pala, Ayşegül; Yıldırım, Nuran Cikcikoğlu
Pollutants such as copper nanoparticles (CuNP), which form residues in the environment, especially in water environments, cause serious damage to the environment and the organisms living in the environment. In this study, Navicula cryptocephala var. veneta was selected as a model organism. The EC50 values of CuNP on Navicula cryptocephala var. veneta were determined as 4.94 mg\L and 3 different application concentrations were determined considering this ratio. The experiments were carried out in 3 replicates and samples were taken at 24 and 96 hours. At the end of 120 hours, samples were taken to determine the elimination values. CuNP accumulation amounts in the samples were measured by electrothermal atomic absorption spectrophotometer (ETAAS). For biomarker analysis, thiobarbituric acid (TBARS) and glutathione (GSH) levels and superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) activities were performed using CAYMAN ELISA kit. According to the study data, as CuNP concentration and application time increased, the amount of accumulation in Navicula cryptocephala also increased. Increasing-decreasing changes were observed in elimination. CuNP caused oxidative stress in N. cryptocephala and caused changes in TBARS and GSH levels. In addition, it caused increases in SOD activities and statistically significant decreases (P<0.05) in CAT and GPx activities.
AtıfScopus2WoS1İncele - MakaleAçık Erişim2025Scopus SJRQ2Nursing Students' Attitudes Towards Clinical Practice and Occupational Risk Perceptions
Daşbilek, Ferhat; Yeşiltepe, Akgün; Erçel, Şeyda
Aims and Objectives: In this study, it was aimed to determine nursing students' attitudes towards clinical practice and their perceptions of occupational risk. Method: The research is descriptive and cross-sectional. The population of this study consisted of second-, third- and fourth-year students studying in the Department of Nursing affiliated to the Faculty of Health Sciences of a university located in Turkey. The analysis was conducted using JASP 0.19.1.0 and SPSS 25 software. Mann–Whitney U and Kruskal–Wallis tests were applied. The Bonferroni test was performed to identify the group causing the difference. Results: A significant positive correlation was found between nursing students' perception of occupational risk and nursing students' attitude toward clinical practice (r = 0.434, p = 0.000). The mean score of the nursing students' perception of occupational risk in nursing students was 68.74 ± 15.04. The mean score of attitude towards clinical practice in nursing students was 100.04 ± 24.83. A statistically significant difference was found between the presence of attitude towards clinical practice in nursing students and perception of occupational risk in nursing students in the gender variable (p < 0.05), whereas a statistically significant difference was found between adequate information about the nursing profession and attitude towards clinical practice in nursing students (p < 0.05). Conclusion: In the findings of the study, nursing students' perception of occupational risk and attitudes towards clinical practice were found at a high level. A statistically significant difference was found between the presence of perception of occupational risk in nursing students and attitude towards clinical practice in nursing students in the gender variable. In addition, a statistically significant difference was found between adequate knowledge and nursing profession about the nursing profession and attitude towards clinical practice in nursing students.
AtıfOpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ2The effect of WC addition on CrMnFeCoNi high entropy alloys: crystal-micro structure, hardness and wear behavior
Taşgın, Yahya; Kanca, M Sait; Kök, Mediha; Anik, Kerem
High entropy alloys are produced by combining four or more elements in close percentage ratios. Recently, these alloys have become the preferred group due to their superior mechanical and thermal properties. In this study, tungsten carbide (WC) was doped into CrMnFeCoNi alloys at different ratios, and the effects of WC and heat treatment on the doped alloys were investigated. XRD, SEM, and EDS analyses, wear tests, and microhardness measurements were performed on the produced samples to examine their microstructural properties. When comparing the heat-treated samples with WC (3%, 5%, and 10% additions) to the untreated samples, it was found that the average hardness values of the heat-treated samples were higher. Although the grain structures of the samples, as observed through XRD, SEM, and EDS, were preserved, their ratios were altered, and the wear tests revealed that the mass losses of the heat-treated samples increased.
- MakaleAçık Erişim2025Scopus SJRQ1Modeling water infiltration into soil under fractional wettability conditions
Di Prima, Simone; Stewart, Ryan D.; Abou Najm, Majdi R.; Yilmaz, Deniz; Comegna, Alessandro; Lassabatere, Laurent
The heterogeneous distribution of water-repellent materials at the soil surface causes a phenomenon known as fractional wettability. This condition frequently triggers destabilization of the wetting front during water infiltration, resulting in the formation of fingered bypass flow. However, few analytical tools exist to understand and model this behavior. Moreover, existing infiltration models fail to fit certain infiltration curves that exist in experimental data. For these reasons, we introduce a novel infiltration model to simulate water infiltration under fractional wettable conditions. We conceptualize the soil surface as a composite of two distinct portions: a water-repellent fraction, where hydrophobic effects impede water infiltration, and a wettable fraction, where capillarity and gravity are the dominant forces controlling the process. The new model was validated using a dataset comprising infiltration data from 60 field measurements. Additionally, validation was performed using 660 analytically generated infiltration curves from six synthetic soils with varying textures. This innovative approach enabled us to account for the combined influence of these two fractions and to enhance the interpretation of infiltration curves with mixed shapes, which other common methods are unable to reproduce.
AtıfScopus8OpenAlex9İncele - MakaleYalnız künye2025Scopus SJRQ1Effect of Ohmic Heating on the Quality and Nutrient Preservation of Plum Marmalade: A Comparison With Conventional Heating
Ekici, Seymanur; Omac, Basri; Sabanci, Serdal
In this study, plum marmalade was prepared using the ohmic heating method at three distinct voltage gradients (30, 35, and 40 V/cm). The quality properties of the marmalade prepared this way were contrasted with those prepared using the conventional heating method. Total phenolic content (TPC), antioxidant activity (AA), vitamin C content, total color change (ΔE), hydroxymethylfurfural (HMF), and the amount of time needed for the process, including heating and evaporation, were all measured as part of the study. According to the findings, ohmic heating—specifically, a voltage gradient of 40 V/cm—significantly reduced the heating time when compared to the traditional method, which raised the stability of vitamin C, AA, and phenolic compounds. When ohmic heating was used instead of conventional heating, the amounts of TPC, AA, and vitamin C increased by 19.50%, 33.90%, and 149.12%, respectively. In comparison to traditional heating under atmospheric conditions, the results also showed that ohmic heating increased the amounts of gallic acid (40.61%), catechin (40.98%), chlorogenic acid (25.05%), and rutin (24.67%). Furthermore, the results showed that ohmic heating reduced the amount of HMF (34.34%) and ΔE (2.27%) in comparison to conventional heating. TPC, AA, vitamin C, gallic acid, catechin, chlorogenic acid, and rutin were higher than conventional heating; nevertheless, HMF and ΔE were lower than conventional heating at the applied ohmic heating process. The results obtained indicate a strong potential for an ohmic heating system as a rapid heating method for preserving nutritional value.
AtıfScopus6WoS5OpenAlex6İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ1Experimental analysis of a double-slope solar still integrated with parabolic trough solar collector using nanofluid
Tuğan, Volkan; İnallı, Mustafa; Işık, Erdem
The use of solar energy in the treatment of saline water offers a sustainable and low-cost solution to the increasing global fresh water demand. In this direction, solar still systems separate water vapor from saline water by directly using solar radiation and then condense it to obtain pure water. However, their fresh water productivity is relatively low. Therefore, in this study, the fresh water productivity and thermal efficiency of the double slope solar distillation unit integrated with parabolic trough solar collector, which operates completely on solar energy, were investigated experimentally. In addition, the effect of water-based nanofluid containing multi-walled carbon nanotubes on the performance of the solar still was investigated. All the stills produced were compared in terms of fresh water productivity and thermal efficiency. According to the results obtained from the study, the highest daily productivity was found to be 1963.8 g/m2/day, 2008.5 g/m2/day, 2592.0 g/m2/day and 2937.6 g/m2/day for SSSS, DSSS, PTSC integrated DSSS and both NF and PTSC integrated DSSS, respectively. It was observed that the daily productivity of DSSS, DSSS with integrated PTSC, and DSSS with both PTSC and NF were 6.6 %, 42.2 %, and 49.6 % higher than SSSS, respectively. Additionally, it was observed that the thermal efficiency of DSSS using PTSC and NF was lower compared to SSSS due to its larger system area.
AtıfScopus13WoS8OpenAlex10İncele - MakaleAçık Erişim2025Scopus SJRQ2Effect of B4C Amount on Microstructural and Mechanical Properties of Cu/h-BN/B4C Metal Matrix Composites Fabricated via Spark Plasma Sintering
Çelebi, Müslim; Karabacak, Abdullah Hasan; Özkaya, Serdar; Çelik, Ertuğrul; Sekban, Dursun Murat; Çanakçı, Aykut; Yanar, Harun
Copper (Cu) is widely used in electrical, electronic, and tribological systems owing to its excellent electrical and thermal conductivity. However, its relatively low hardness and poor wear resistance limit its use in demanding engineering applications. In this study, Cu-based hybrid metal matrix composites (MMCs) reinforced with hexagonal boron nitride (h-BN) and boron carbide (B4C) were fabricated via spark plasma sintering (SPS) to improve their mechanical and tribological performance. The h-BN content was fixed at 1 wt.% to ensure solid lubrication, while the B4C content was varied (0.25, 0.5, 0.75, and 1 wt.%) to examine its influence on the microstructural, mechanical, electrical, and wear properties of the composites. Microstructural analyses confirmed a homogeneous distribution of h-BN and B4C particles in the Cu matrix at low and moderate reinforcement levels, whereas excessive B4C resulted in partial agglomeration and reduced densification. All composites achieved relative densities above 95%, demonstrating the high densification efficiency of the SPS process. Hardness increased markedly with B4C addition due to dispersion strengthening and grain refinement, while electrical conductivity decreased slightly because of the insulating nature of the reinforcements. Tribological tests showed that the composite containing 0.75 wt.% B4C exhibited the best performance, with the lowest wear rate and stable friction behavior. Overall, the results indicate that co-reinforcing Cu with h-BN and B4C through SPS is a promising strategy for developing multifunctional materials suitable for electrical contact and sliding applications.
AtıfScopus11WoS12OpenAlex12İncele