Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(110)
- Güler, Ömer(70)
- Akkurt, Nevzat(69)
- Serdar, Osman(57)
- Yucesan, Melih(55)
- Celik, Erkan(53)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Bulut, Hasan(49)
- Baskonus, Haci Mehmet(48)
- Paksoy, Mehmet Yavuz(46)
- Yildirim, Numan(45)
- Kocabaş, Mehmet(41)
- Yildirim, Nuran Cikcikoglu(41)
- Zengin, Gokhan(40)
- Alataş, Mevlüt(39)
- Ince, Muharrem(38)
- Benzer, Fulya(37)
- Mete, Suleyman(34)
- Aslan, Naim(33)
- Kutlu, Banu(33)
- Yildirim, Ozal(33)
- Topal, Murat(32)
- Tanyol, Mehtap(30)
- Batan, Nevzat(28)
- Özkul, İskender(28)
- Kök, Mediha(27)
- Utku, Anıl(27)
- Can, Erkan(26)
- Danabas, Durali(26)
- Sulaiman, Tukur Abdulkadir(26)
- Ates, Mehmet(25)
- Ezer, Tülay(25)
- Guler, Omer(25)
- Kutluyer, Filiz(25)
- Say, Yakup(25)
- Serin, Faruk(25)
- Erguven, Gokhan Onder(24)
- Onat, Onur(24)
- Cakilcioglu, Ugur(23)
Yayınlar
- MakaleYalnız künye2025Scopus SJRQ4Deep learning-based hybrid traffic flow prediction model for freight transport
Utku, Anıl; Kaya, Sema Kayapinar; Can, Umit
Urban freight transportation is crucial to sustaining domestic and international trade and fulfilling the regular requirements of community companies and customers. Therefore, this study developed an efficient convolutional neural network (CNN) and long short-term memory (LSTM) based hybrid deep learning model for predicting traffic flow in freight transportation. The number of freight trucks that would travel along 663 Street in Anderlecht, Belgium, and their average speed was predicted. The created model was compared with support vector machine (SVM), linear regression (LR), multilayer perceptron (MLP), random forest (RF), LSTM, and CNN using the success measures. The critical finding of this study is that combining the feature extraction ability of the 1D CNN model with the learning ability of the LSTM model from multivariate traffic data increases the traffic density prediction success compared to other traditional methods. Based on the results of the experiments, the CNN-LSTM model outperformed all the other models employed in this study. With this model, freight density can be successfully predicted, assisting in planning freight transport activities.
- MakaleAçık Erişim2025Scopus SJRQ1Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches
Yilmaz, Mehmet; Yalcin, Erkut; Demir, Fatih; Ozdemir, Ahmet Munir; Atar, Muhammed; Gunes, Aysegul; Furtana Yalcin, Beyza; Cambay, Ertugrul
This study develops a deep learning-based automated system for detecting and segmenting earthquake-induced asphalt cracks, offering a rapid and reliable solution for post-disaster road condition assessments. Unlike traditional manual inspections, which are time-consuming and error-prone, our approach leverages advanced segmentation techniques to ensure accurate, pixel-level classification of various crack types. The main challenge of this study was determining the damage caused to highways by earthquakes with magnitudes greater than 7.0, which occur approximately once every 200 years. The most crucial step in the automatic detection of these damages is the reliable preparation of a high-accuracy dataset. To achieve this, pixel-based labels were created by experts in the construction field by analyzing each pixel value. Following two major earthquakes, a unique dataset for segmenting roadway deterioration was created through intensive and detailed studies. This study aims to present the performance results of popular deep learning-based segmentation models in an unbiased manner, providing a feasible infrastructure for future real-time applications. The innovative aspect of this research lies in the creation of a unique post-earthquake dataset, collected and labeled from highways affected by the February 6, 2023 earthquakes in Turkey (Mw = 7.7 and Mw = 7.6). Deep learning models, including SegNet, Attention SegNet, U-Net, FCN (8s), and DeepLab, were trained and tested on this dataset. Among these, the SegNet model achieved the best performance with an average accuracy of 86.72%, precision of 92.99%, and sensitivity of 78.45%. By demonstrating superior performance metrics compared to existing methods, this study provides a robust framework for future infrastructure monitoring and maintenance strategies, ensuring safer and more resilient transportation networks in disaster-prone regions.
AtıfScopus6OpenAlex4
İncele - MakaleAçık Erişim2025Scopus SJRQ2Forecasting daily natural gas consumption with regression, time series and machine learning based methods
Yucesan, Melih; Pekel, Engin; Celik, Erkan; Gul, Muhammet; Serin, Faruk
An effective short-term natural gas forecasting method contributes to social contributions and allows industrial chain elements to function effectively and minimize economic losses. We dealt with a comparative framework on the applicability of different methods in daily natural gas service (NGS) consumption forecasting. In this context, time series, machine learning, evolutionary and population-based approaches, and their hybrid versions are applied to the NGS data. Hybridized approaches are tested in the scope of NGS consumption forecasting for the first time in the literature in this study. The case of Turkey is handled, and its NGS data is used to demonstrate the comparative framework’s applicability. The comparative study is assessed in the lights of common forecasting accuracy measures of mean absolute percentage error (MAPE), R-squared (R2), and mean squared error (MSE). According to each method’s results, the seasonal autoregressive integrated moving average with exogenous regressors (SARIMAX) and artificial neural network (ANN) hybrid model provides the most dominant performance with respect to MAPE. The lowest error was obtained with a MAPE value of 0.357 in this hybrid model constructed under seven neurons in its ANN structure. This model is followed by another hybrid model, autoregressive integrated moving average (ARIMA)-ANN, with a MAPE value of 0.5 under nine neurons in terms of accuracy performance. The worst performance value belongs to the Genetic algorithm-ANN hybrid model with a MAPE value of approximately 26%.
AtıfScopus16WoS19OpenAlex22İncele - MakaleYalnız künye2025Scopus SJRQ4Bioaccumulation of copper by Gammarus pulex (L., 1758): monitoring through a statistical modelling approach
Pala, Aysegul; Ince, Muharrem; Serdar, Osman
The aim of this study is to test freshwater gammarids as ecotoxicological biomarkers. Gammarids were collected from fresh water and adapted to the laboratory environment. Then, the influence of various variables was investigated. For monitoring and detecting the bioaccumulation level in Gammarus pulex exposed to controlled copper ions and to evaluate potential human and ecological risks, the use of G. pulex as sentinel indicators of water quality is one rational approach. Copper bioaccumulation rate and fate are currently not sufficiently studied. For optimization, the experimental conditions to ensure bioaccumulation level and to find the effects of various variables on proses, a Box–Behnken experimental design was performed. Used mentioned model with statistical underpinnings for Cu2+ ions bioaccumulation have been analyzed, tested and verified and the viability of G. pulex as a biomonitor. The variables’ optimum levels (temperature; 18.1, pH; 4.3, initial concentration of Cu2+ ions, mg L−1; 11.2 and exposure time, h; 42.2) were achieved by employing the quadratic regression model. Critical role of G. pulex in freshwater biomonitoring and their potential to be evaluated as biomarkers for Cu2+ ions was confirmed. It was also explored to see if G. pulex may serve as a potential tool for estimating aquatic quality.
AtıfScopus1WoS1OpenAlex1İncele - BildiriAçık Erişim2025Health Status Classification of Electric Motors Using CNN-Based Models and SDP Images Under Varying Noise Conditions
Ertarğın, Merve; Yordanov, Nikolay; Zhilevski, Marin; Benedicenti, L.; Liu, Z.
The increasing application of electric motors across various industrial sectors requires effective monitoring and early diagnostics to prevent potential failures. This study explores the use of Convolutional Neural Network (CNN)-based models together with Symmetrized Dot Pattern (SDP) sound representations for classifying the health status of electric motors under different noise conditions. Acoustic data from a brushless DC motor were transformed into SDP images, which were then used to train CNN models. The dataset included recordings of motors in “Good”, “Broken” and “Heavy Load” conditions, captured under various noise environments such as pure, talking, white noise, atmospheric, and stress test conditions. The classification tasks were conducted under three conditions: assessing motor health status, evaluating both motor health status and noise types, and excluding the stress test noise type for a balanced dataset. The results demonstrated that the CNN models achieved high accuracy rates in classifying motor health status, with the Custom CNN model performing best in simpler tasks and MobileNet excelling in more complex scenarios. The study highlights the feasibility of using SDP images with CNN-based models for fault classification in motors and suggests future research directions for improving classification accuracy through advanced feature extraction techniques and multimodal data representations.
AtıfScopus1İncele - MakaleAçık Erişim2025Scopus SJRQ4Protective effect of Momordica charantia against Hepatorenal toxicity induced by Potassium bromate (KBrO3) in rats; [Efecto protector de Momordica charantia contra la toxicidad hepatorrenal inducida por el bromato de potasio (KBrO3) en ratas]
Karagözoğlu, Fatma; Uyar, Ahmet; Akkoyun, Hurrem Turan; Altun, Serdar; Akkoyun, Mahire Bayramoğlu; Aydin, Sevinç; Melek, Sule; Bengü, Aydın Şükrü; Ekin, Suat; Bakir, Ahmet
This study aims to evaluate the effects of Momordica charantia on hepatorenal toxicity caused by potassium bromate (KBrO3) in rats. Wistar rats were divided into 4 groups as control, KBrO3, bitter melon (MC), and KBrO3+MC. Examining the antioxidant enzyme grade of the kidney tissues, it was found that the enzyme activities of catalase (CAT) (P<0.05), glutathione peroxidase (GSH–Px) (P<0.01), and superoxide dismutase (SOD) (P<0.01) decreased in the KBrO3 group in comparison to the control. There was a significant decrease (P<0.001) in glutathione (GSH) levels and an increase (P<0.01) in malondialdehyde (MDA) level in the KBrO3 group in comparison to the control. Examining the antioxidant enzyme activities in liver tissue, it was determined that CAT, GSH–Px, and SOD enzymes reduced significantly (P<0.05, P<0.01, and P<0.001, respectively) in the KBrO3 group in comparison to the control, and the enzyme activity of decreased CAT, GSH–Px, and SOD enzymes significantly elevated (P<0.01) in the MC group. There was a reduction in GSH level in the KBrO3 group in comparison to the control (P<0.01), while an increase was recorded in the KBrO3+MC group (P<0.05). MDA level in liver tissue increased in KBrO3 group in comparison to the control (P<0.01) and MC decreased the MDA level. Histopathological analysis results indicate severe degenerative and necrotic lesions in hepatorenal histoarchitecture of KBrO3 rats in comparison to the control. However, application of MC+KBrO3 significantly reduced the induced hepatorenal injury with a concomitant increase in histopathological lesions. From the immunohistochemical aspect, MC revealed apoptosis concomitant with the suppression of necrosis in the KBrO3-treated rats as demonstrated by the caspase-3 activity.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1The effect of 12 weeks of basic soccer training on violence tendency, psychological resilience, social anxiety in 12–14 years old children
Özcan, Büşra; Çelikel, Baha Engin; Erdoǧan, Ramazan; Karadaǧ, Mustafa; Aydoǧdu, Volkan; Uǧurlu, Fatih Mehmet; Bozkurt, Eyüp; Turan, Mehmet; Koçal, Meryem; Orhan, Serdar
Background: Regular exercise during childhood impacts not only physical development but also emotional stability, social adaptation, and behavioral control. Therefore, the present study aimed to examine the effects of a 12-week introductory football training programme on violent tendencies, psychological resilience, and social appearance anxiety in children aged 12–14. Methods: A randomized controlled design was used, with 40 children assigned to an experimental group (n = 20) or a control group (n = 20). The experimental group completed 60-min football sessions three times a week, while the control group did not participate in structured activity. The program included a 20-min warm-up, technical and tactical exercises, game-based activities, and a cool-down, targeting physical, technical, tactical, and psychosocial development. Data were collected using the VTS, PRS, and SAAS scales.Statistical analyses were performed using SPSS version 25 (IBM Corp., Armonk, NY, USA), with mixed-design ANOVA, significance set at p < 0.05, and effect sizes reported as partial eta-squared (ηp2). Results: No significant difference was observed in violence tendency scores in the experimental group (p = 0.939). However, a decrease was observed in psychological resilience scores in comparison to pre-test values, and this decrease approached the threshold of significance with a medium effect size (p = 0.153, ηp2 = 0.053). This finding suggests that the intervention may have a limited effect on psychological resilience. While no significant change was detected in the social appearance anxiety variable in the experimental group (p = 0.120), a significant decrease in anxiety levels was observed in the control group (p = 0.029). This finding suggests that factors other than the experimental intervention may have been effective in the control group. Conclusions: In conclusion, the 12-week football training programme demonstrated no significant short-term effect on violent tendencies or social appearance concerns, but may have a temporary effect on psychological resilience. The findings indicate that the impact of sports participation on psychosocial development in children is multifaceted and contingent on individual differences.
AtıfScopus3OpenAlex4
İncele - MakaleAçık Erişim2025Scopus SJRQ1Investigating the relationship between digital citizenship levels and cyberbullying attitudes of university students
Karayol, Metin; Murathan, Talha; Erdoğan, Ramazan; Akarsu, Mehmet; Baş, Muhammet; Norman, Göktuğ
Background: This study examines the relationship between the levels of digital citizenship and attitudes toward cyberbullying among prospective physical education and sports teachers. Methods: This quantitative study adopted the relational survey model within its research framework. The sample consists of prospective physical education and sports teachers who studied in the Physical Education and Sports Teaching departments at universities during the 2022–23 academic year. The sample was determined using the convenience sampling method. The sample was administered a personal information form created by the researchers, as well as the Digital Citizenship Scale and the Cyberbullying Attitude Scale. Results: According to the MANOVA results for the Digital Citizenship and Cyberbullying Attitude scales, significant differences were found in the Digital Law, Digital Rights and Responsibilities, Approval and Anxiety subscales based on gender. However, the Pearson correlation analysis revealed no significant relationship between age and the subscales of the Digital Citizenship and Cyberbullying Attitude scales. However, the Pearson correlation analysis of the Digital Citizenship and Cyberbullying Attitude subscales revealed significant positive and negative relationships. Conclusion: The results of the path analysis of the digital citizenship scale and its subscales (identity concealment, enjoyment, approval and anxiety) showed that digital citizenship significantly predicted identity concealment, enjoyment, approval and anxiety.
AtıfScopus2OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ3Assessments of heavy metal contaminations of surface water and sediment of Pülümür Stream (Türkiye)
Kutlu, Banu; Çevik, Fatma; Çetindağ, Serdar
The primary considerations within aquatic ecosystems are water and sediment quality, rendering it imperative to assess their concentrations, pollution levels, origins, and ecological hazards. In this study, heavy metal concentrations in surface waters and sediments of the Pülümür Stream were investigated to assess the level, distribution, source of pollution and the associated human risks. Water and sediment samples from the river were collected monthly from February 2021 to January 2022 and examined using the Inductively Coupled Plasma Mass Spectrometry (ICP– MS) technique. Metal concentrations in the sediment followed a decreasing or derivative sequence of Fe > Al > Mn > Ni > Cr > Zn > Cu > Pb > As >Cd > Hg. The ecological indices of the stream water have low degrees of contamination by heavy metals. Igeo and EF showed that most of the sites are moderately to highly polluted due to Ni, and Cr, while PLI and PERI showed a progressive deterioration of the environment at site 9. Moreover, the modified hazard quotient (mHQ) indicates low ecological risk for Cu, Pb, Zn, Cd, Hg metals, while Ni, As and Cr reach high pollution at sediment sites. Pearson correlation analysis revealed that the presence of Zn, Cu, Pb, Hg, and Mn metals in the sediment analysis has a lithogenic source, and As, Ni, Cd, and Cr accumulate due to human activities, mainly domestic and agricultural irrigation wastes and mining wastes, all of which affect the aquatic environment. According to this study, more attention should be paid to the comprehensive monitoring of metals in the water and sediment for both aquatic biota and human risk of the Pülümür River.
AtıfScopus6WoS5OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ1New testimony for local elites in Sophene during the Hellenistic period: Rabat Fortress and its Middle Aramaic inscription in a rocky landscape
Danışmaz, Harun; Adalı, Selim Ferruh; Şahin, Özgür
This study is concerned with the evaluation of a recently discovered Aramaic inscription and other archaeological remains found at Rabat Fortress (in Tunceli, Türkiye). The Hellenistic period Aramaic funerary text was composed in memory of a local lord from Sophene’s local political elite, with connections to the Orontid dynasty. This is the first known local Aramaic inscription from Sophene. The Aramaic inscription introduced in this study provides significant new information about the Hellenistic-period context for rock-cut stepped tunnels and single-roomed rock-cut tombs known across eastern Anatolia. The Rabat Fortress site provides corroborating evidence for the dating of the stepped tunnels that exhibit the same rock-cutting techniques in the same region to the Hellenistic and later periods in the rocky landscape. The inscription is rendered in a unique Sophene adaptation of the Middle Aramaic script extant on a corner block inside the Fortress. Its funerary context in rocky landscape and the inscription’s script and content indicate that the local elite at Rabat Fortress used Aramaic, and the notion of Orontid lineage to connect with the kingdom of Sophene’s central authority, which positioned itself between Hellenistic and Iranian traditions.
- BildiriAçık Erişim2025Investigation of Fatigue Performance of Hot Mix Asphalt Mixtures Modified with Elvaloy and Phosphoric Acid (PPA) as an Alternative to SBS Polymer
Furtana-Yalcin, Beyza; Ozaslan, M.
In this study, the combined use of Elvaloy and phosphoric acid (PPA) was investigated to enhance the performance of asphalt concrete (Hot Mix Asphalt - HMA) layers used in flexible pavement structures under increasing traffic loads and environmental conditions. These additives, considered as alternatives to Styrene-Butadiene-Styrene (SBS) polymer, were evaluated solely for their effects on the mechanical performance of HMA mixtures. Binders modified with Elvaloy/PPA at specified proportions were used to produce HMA specimens, and indirect tensile fatigue tests were conducted on these samples. The experimental results indicated that the addition of Elvaloy and PPA improved the mechanical properties of mixtures prepared with bituminous binders, extended fatigue life, and enhanced the strength and deformation resistance of asphalt mixtures at the selected proportions. The findings suggest that the Elvaloy/PPA additive combination could be a viable alternative to SBS polymer and has the potential to extend the service life of hot mix asphalt. Thus, it was concluded that the use of these additives contributes to improving HMA performance and supports sustainable pavement design.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ2Effects of inspiratory muscle training on 1RM performance and body composition in professional natural bodybuilders
Çelikel, Baha Engin; Yılmaz, Coşkun; Demir, Alper; Sezer, Süreyya Yonca; Ceylan, Levent; Ceylan, Tülay; Tan, Çetin
Background: The effect of inspiratory muscle training on upper limbs One Rep Maximum (1RM) in professional natural bodybuilders is still unclear. Our aim of this study is to investigate the effects of a 6 weeks inspiratory muscle training on 1RM results. Methods: This study included 14 athletes, that had participated in international bodybuilding competitions. Each athlete had been training for minimum of 5 years and at least 5 h per week. The participants were randomly divided into two groups: inspiratory muscle training (IMT) and control (CON) groups. The IMT group and CON group consisted of seven subjects. While the control group continued with the normal training regime, the IMT group additionally performed inspiratory muscle training with the resistance setting of the PowerBreathe® Classic device set to 40% of the participant’s MIP. Prior to and during the 6-week training period, the bench press 1 RM, anthropometry, pulmonary function tests, and maximal inspiratory (MIP) and expiratory (MEP) pressure measurements were obtained. A nutrition protocol developed by a qualified dietician was implemented for each athlete. Results: The mean maximal strength of the respiratory muscle training group changed by 14.39%, whereas that of the control group changed by 9.43% (p = 0.012). The changes in the mean FVC (p = 0.000), FEV1 (p = 0.001), PEF (p = 0.064), MIP (p = 0.001), and maximal expiratory pressure (p = 0.017) were greater in the IMT group. The mean circumferences of the shoulder (p = 0.004), chest (p = 0.008), arm (p = 0.004), and neck (p = 0.003) improved more in the IMT group than in the CON group. A reduction in abdominal measurement was observed in the IMT group (p = 0.039), whereas no notable discrepancy was identified in body fat percentage (p = 0.295). Conclusion: In conclusion we identified that the addition of progressive loading inspiratory muscle training for competition preparation programs in professional natural bodybuilders will further improve their respiratory function, respiratory muscle strength, maximal strength, and muscle development. This research provides valuable insights into how IMT influences bodybuilding training outcomes, potentially guiding future interventions and program designs to better support strength development and body composition in bodybuilding training contexts.
AtıfScopus12OpenAlex14İncele - MakaleAçık Erişim2025Scopus SJRQ1Examining the levels of awareness, anxiety, and hope regarding global climate change among university students participating in activities at youth offices
Yildiz, Metin
Background: Climate change is one of the most significant issues of today. This study aims to investigate climate change awareness, anxiety, and hope levels among university students who participate in activities at youth offices and examine the relationship between them. Methods: The study population consisted of student members who were actively engaged in Youth Offices located within four public universities in the Eastern Anatolia Region of Türkiye. The study sample includes 881 volunteer participants, consisting of 345 (39.2%) male and 536 (60.8%) female students. The data were analyzed employing IBM SPSS 25. Statistical analyses included the independent samples t-test, one-way ANOVA, Tukey’s post-hoc test, and Pearson’s correlation coefficient. Results: The results indicate that university students have moderate levels of climate change awareness, anxiety, and hope. A positive correlation was observed, wherein higher awareness levels were associated with increased anxiety and hope. Male students demonstrated higher awareness and anxiety levels than female students. Among participants, students from 1. University exhibited the highest levels of climate change awareness, anxiety, and hope. Additionally, graduate students and individuals living in rural areas showed higher awareness and anxiety levels, whereas individuals with better economic conditions exhibited lower anxiety and hope levels. Conclusion: Given these results, it is recommended that universities develop and implement educational programs to enhance climate change awareness and extend these initiatives across campuses.
- MakaleAçık Erişim2025Scopus SJRQ1Unveiling 50 years of librarianship research: An innovative study using unsupervised AI techniques
Akti Aslan, Seda; Turgut, Yiğit Emrah; Aslan, Alper; Özyurt, Özcan
In this study, 3646 articles published in the Scopus database between 1975 and 2024 were analyzed to examine the main research themes, trends, and research gaps in the field of librarianship. Using Latent Dirichlet Allocation (LDA) implemented in Python (Gensim, spaCy, pyLDAvis), a 17-topic model with a coherence score of 0.5266 was generated. The preprocessing steps included tokenization, lemmatization, bigram/trigram construction, and the removal of both general and domain-specific stopwords. The bibliometric analysis showed that most publications were classified under Social Sciences (93%), with the USA (1961 articles) being the leading contributor. Among the identified themes, “Information, Research, and Technology” (10.59%), “Students’ Information Literacy” (9.22%), and “Information Development” (8.23%) emerged as the most prominent, while “Professional Identity and Practice” (3.37%) and “Education and Research Competency” (3.65%) were underrepresented. Trend analyses revealed that technology-related topics have accelerated significantly since 2010, reflecting the digital transformation of librarianship. In contrast, traditional themes such as “Information Development” and “Health and Medical Services” have declined in momentum. The study shows that digitalization and information literacy remain dominant in the field. In addition, it concludes that significant research gaps exist in professional identity, education, and competency development.
AtıfScopus1WoS1İncele - MakaleAçık Erişim2025Scopus SJRQ3EFFECTS OF LACTOBACILLUS PLANTARUM ON THE AKT/ENOS CARDIAC PATHWAY IN RATS WITH FRUCTOSE-INDUCED METABOLIC SYNDROME
Kursun, Oznur Ece Durmaz; Yalim, Goknur; Demirel, Murside Ayse; Erten, Fusun; Sahin, Kazim; Akar, Fatma
Background. This study investigated the effects of Lactobacillus plantarum supplementation on the Akt/eNOS pathway in the cardiac tissue of rats subjected to a fructose-rich diet, which induced metabolic syndrome. Materials and methods. Twenty-two male Wistar albino rats were randomly assigned to three groups: (1) control, (2) fructose, and (3) fructose ± L. plantarum. Rats in the fructose group were administered a 20% fructose solution in their drinking water for 15 weeks. In the L. plantarum-treated group, the probiotic was administered via gastric gavage at a daily dose of 1×109 CFU/mL/100 g during the final six weeks of the study. Results. The administration of Lactobacillus plantarum resulted in a significant increase in the levels of Akt (p < 0.0001), IRS-1 (p = 0.0113), mTOR (p < 0.0001), eNOS (p < 0.0001), and SIRT1 (p = 0.0031) in the cardiac tissue of rats compared to the fructose group. Moreover, a marked reduction in iNOS, NF-κB, and TNF-α levels (p < 0.0001) was observed, highlighting the potential of L. plantarum to counteract the adverse effects of fructose consumption. Conclusion. The findings of this study suggest that L. plantarum has the potential to reduce inflammation in the heart, enhance insulin sensitivity via the Akt/eNOS pathway, and protect against cardiovascular diseases associated with metabolic syndrome.
- MakaleAçık Erişim2025Scopus SJRQ1Judo exercises increase emotional expression, self-control, and psychological resilience
Köroǧlu, Mihraç; Yılmaz, Coşkun; Tan, Çetin; Çelikel, Baha Engin; Budak, Cemalettin; Kavuran, Korhan; Susuz, Yunus Emre; Barut, Yaşar; Ceylan, Tülay; Soyer, Fikret
Background: The extant research on judo sports has principally concentrated on the physiological effects of training. Conversely, there has been limited attention paid to studies on psychological resilience, self-control, and emotional expression levels. The present study examined the effects of Judo exercises on psychological resilience, self-control, and emotional expression levels in healthy male subjects. Methods: The present study comprised 50 healthy, sedentary male subjects. The subjects were randomly divided into two groups: one group participated in judo training (JT) and the other group served as the control group (CON). The sample sizes for the JT and CON groups were both 25. The JT group underwent judo training, while the CON group maintained their usual lifestyle. The Brief Psychological Resilience Scale, the Multidimensional Brief Self-Control Scale, and the Berkeley Emotion Expression Scale were administered prior to and following the 6-week training period. Results: The study demonstrated that a 6-week judo training regimen exerted a significant effect on the psychological resilience score (e.s. = 1.047, p < 0.001), while no such effect was observed in the Control group (e.s. = 0.0091, p = 0.751). In the context of self-control levels, an effect was observed on the Initiation sub-dimension (e.s. = 1, 739, p < 0.001), yet no effect was found on the Inhibition dimension (e.s. = 0.052, p = 0.892). In the control group, a significant decrease was identified in the Initiation sub-dimension (e.s. = 0, 785, p = 0.001) and Inhibition sub-dimension (e.s. = 1, 861, p < 0.001). The findings indicate that impulse power (e.s. = 0.395) and concealment (e.s. = 0.428) exerted a negligible influence on the emotional expression sub-dimensions. Conversely, psychological resilience (e.s. = 0.886) demonstrated a substantial impact. Conclusions: The judo exercises demonstrated a favorable impact on psychological resilience, self-control, and emotional expression levels in healthy male subjects. The findings of this study may offer significant insights into the impact of judo exercises on psychological resilience, self-control, and emotion expression levels. These findings could serve as a guide for the development of future interventions and program design in the domain of sport psychology.
AtıfScopus9OpenAlex11İncele - Kitap BölümüYalnız künye2025Scopus SJRQ4Examination of Recycled Papers Using an Intuitionistic Fuzzy Set-Based MCDM
Tuğrul, Feride
Multi-criteria decision making (MCDM) methods are used in combination with intuitionistic fuzzy sets offer very favorable results to decision makers. Intuitionistic fuzzy set-based MCDM methods defined in this direction were utilized in many application areas. In this study, recycled papers were examined separately according to Cyan, Magenta and Yellow colors. Paper samples, which passed through a total of 4 recycling stages, were evaluated according to their L, a, and b values. The decision making mechanism established in the study was observed that provides effective results in the fields such as paper quality, print quality, recycling, etc.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ3l-Tryptophan improves the sperm quality of threatened Abant trout (Salmo abanticus) against glyphosate toxicity: impact on oxidative stress and DNA damage
Kocabaş, Mehmet; Kocabaş, Filiz Kutluyer; Erişir, Mine; Benzer, Fulya; Arslan, Halil Ozancan; Keleş, Esin; Aksu, Önder
The current study focused on the ameliorating impact of TRP (5 mM) on Salmo abanticus spermatozoa exposed to sub‑lethal concentrations of GLY (2.5, 5, and 10 mg/L). Sperm quality parameters, oxidative stress indices, and DNA damage were analyzed in the post‑exposure sperm. Our data reveal that GLY has an adverse effect on motility rate and duration, sperm kinetics parameters, antioxidant status and DNA damage, and triggers antioxidant defense mechanisms at the highest dose (10 mg/L) and it has insufficient therapeutic effect. Overall, GLY poses potential hazards to male reproductive cells and may adversely affect subsequent generations of natural populations.
- Kitap BölümüYalnız künye2025Perception and Politics of the Kizilbash-Alevi in the Late and Post-Ottoman Periods with its Ruptures and Continuities
Çakmak, Yalçın
- MakaleAçık Erişim2025Scopus SJRQ3Job satisfaction mediation in the relationship between work-family conflict and life satisfaction among Turkish academics
Öztürk, Meral; Türk, Ahmet; Tire, Olcay; Gönültaş, Burak M.
This study examined the mediating role of job satisfaction in explaining the relationship between work-family conflict and life satisfaction among Turkish academicians. Employing a cross-sectional study design 645 academicians aged between 24 and 65 (male = 45.1%, female = 54.9%; professors = 12.1%, associate professors = 17.7%, assistant professors = 28.2%, lecturers = 17.8%, research assistants = 24.2%; mean age and SD = 39.72 ± 8.94) completed the Job Satisfaction Scale, Life Satisfaction Scale, and the Work-Family Conflict Scale. They also self-reported their demographics. The findings from PROCESS MACRO analysis indicated work-family conflict to predict lower job satisfaction among academicians. Those with higher job satisfaction were also self-reported with higher life satisfaction. Lob satisfaction mediated the relationship between the academician’s work family conflict and life satisfaction for higher life satisfaction. The findings of this study indicate a need to implement work-family and life satisfaction measures to enhance job satisfaction among academics.
AtıfScopus1WoS1OpenAlex1İncele