Search Results (23)

This study examines the associations among perceived policy effectiveness, emotional environmental engagement, and environmental behavior in the context of the plastic bag charge policy in Turkey. While market-based environmental policies are typically explained in terms of economic incentives, the ways in which policy perceptions and emotional processes are associated with individual behavior remain underexplored in the literature. The data were collected through a nationwide survey in Turkey (n = 515), and the proposed model was tested using Structural Equation Modeling (SEM). The measurement model shows good fit (CFI = 0.94; TLI = 0.92; RMSEA = 0.05; SRMR = 0.04). The findings indicate that perceived policy effectiveness is positively and significantly associated with emotional environmental engagement (β = 0.56, p < 0.001). Emotional engagement is also strongly associated with environmental behavior (β = 0.62, p < 0.001). The direct association between perceived policy effectiveness and environmental behavior is weaker but remains significant (β = 0.21, p < 0.01). Bootstrap analysis (5000 resamples) indicates a significant indirect association (β = 0.35; 95% CI [0.21, 0.49]), suggesting that emotional environmental engagement represents an important explanatory dimension linking perceived policy effectiveness and environmental behavior. Given the cross-sectional and self-reported nature of the data, these findings should be interpreted as associative rather than strictly causal. Nevertheless, the results suggest that the relationship between policy perceptions and environmental behavior is more consistent with a framework in which emotional processes are jointly involved, rather than a purely economic explanation. By examining perceived policy effectiveness, emotional environmental engagement, and environmental behavior within a single analytical framework, this study provides an integrated empirical account of how market-based environmental policies are associated with individual-level environmental behavior. Full article

Introduction: Metabolic dysfunction-associated steatotic liver disease (MASLD) prevalence data in Türkiye is limited. We aimed to determine the nationwide prevalence of MASLD and advanced hepatic fibrosis risk in subjects with cardiometabolic risk factors (CMRF). Despite recent international consensus redefining fatty liver disease terminology, no nationwide MASLD study has been reported in Türkiye. Methods: This cross-sectional study included 14,371 adults with ≥1 CMRF from 44 centers across 31 cities. MASLD was diagnosed using liver ultrasonography plus cardiometabolic criteria. Advanced fibrosis risk was assessed by fibrosis-4 (FIB-4) score (≥1.3 for ≤65 years; ≥2.0 for >65 years). Logistic regression was used to identify independent predictors of high FIB-4. Results: A total of 61.4% of participants were women, the mean age was 51.3 ± 14.4 years, and the mean BMI was 31.4 ± 6.0 kg/m². MASLD prevalence was 75.7% (n = 10,873), rising with the number of CMRFs (56.5% with one factor vs. 83.4% with all). The prevalence of high FIB-4 scores was 12.0% overall, being lower in MASLD patients than non-MASLD patients (11.2% vs. 14.4%, p < 0.001). FIB-4 scores decreased with increasing BMI (28.1% underweight vs. 8.7% class III obesity). Male sex, T2DM, and hypertension independently predicted high FIB-4 scores, while smoking, higher BMI, and MASLD were inversely associated. Conclusions: Three-quarters of Turkish adults with CMRF have MASLD. Standard FIB-4 thresholds may underestimate fibrosis risk in obese and smoking populations, underscoring the need for adjusted cut-offs or alternative tools. This study is the first to provide nationwide MASLD prevalence data in Türkiye. Full article

This study aimed to examine position-specific physical demands among elite U19 football players competing in a 4-3-3 formation, using data collected via STATSports GPS technology. A total of 23 players from a top-tier Bosnian club, FK “Sarajevo”, were monitored during 26 official matches in the 2024/2025 season. Match data included total distance, distance in six speed zones, high-speed running (HSR), sprint distance, number of sprints, maximum speed, and acceleration/deceleration events. One-way ANOVA and Bonferroni post hoc analyses revealed significant positional differences across all performance metrics (p < 0.05). Central midfielders (CMs) covered the greatest total distance and distance per minute, while side defenders (SD) and forwards (FWs) recorded the highest values in sprint distance, HSR, and sprint frequency. Central defenders (CDs) consistently demonstrated the lowest outputs in high-speed and sprint metrics. These findings highlight the distinct physical profiles required for each playing position in a 4-3-3 system and provide practical insights for designing position-specific training and load management strategies in elite youth football. Full article

This study aimed to compare the anthropometric and performance characteristics of U16 and U18 male basketball players to better understand post-peak height velocity (PHV) developmental differences. A total of 31 athletes from the local international basketball academy participated in the research—15 from the U16 category (15.25 ± 0.86 years) and 16 from the U18 category (17.46 ± 0.34 years). Measurements included body composition, sprinting (with and without the ball), agility, and jump performance. The results revealed significant between-group differences in most anthropometric variables (p < 0.001), including body mass, BMI, skeletal muscle mass, fat-free mass, total body water, and segmental muscle mass. However, there were no significant differences in body height and body fat percentage. Performance comparisons showed that U18 players outperformed U16 players in agility (p = 0.026), 10 m and 20 m sprints (p = 0.045 and p = 0.016, respectively), and 20 m dribbling sprints (p = 0.011), while no significant differences were observed in jumping ability. These findings suggest that physical maturation strongly influences anthropometric parameters and partially affects performance characteristics. The results highlight the importance of age-appropriate training strategies that consider biological development stages in youth basketball. Full article

In this study, theorems and proofs related to spherical and focal curves are presented in the BCV-Sasakian space. An approximate solution to the differential equation characterizing spherical curves in the BCV-Sasakian manifold ${\mathfrak{M}}^3$ is obtained using the Taylor matrix collocation method. The general equations of canal and tubular surfaces are provided within this geometric framework. Additionally, the curvature properties of the tubular surface constructed around a non-vertex focal curve are computed and analyzed. All of these results are presented for the first time in the literature within the context of the BCV-Sasakian geometry. Thus, this study makes a substantial contribution to the differential geometry of contact metric manifolds by extending classical concepts into a more generalized and complex geometric structure. Full article

This study aimed to examine the habits, attitudes, and consumption patterns of food supplements (FS) among gym users in Sarajevo, Bosnia and Herzegovina, with respect to gender, age, and training experience. Understanding these behaviors is essential given the rising global trend in FS use, often without professional guidance, which can have implications for individual health and public awareness. By investigating local patterns, this study seeks to provide valuable insights into the motivations and risks associated with supplement consumption, contributing to evidence-based recommendations and policy-making in the field of fitness and nutrition. Methods: Cross-sectional data were collected from various fitness centers using an online questionnaire composed of 21 questions divided into three segments. A total of 614 participants (mean ± SD: 32.77 ± 9.82 years), including both male (67.8%) and female (32.2%) gym users, took part in the study. Results: Participants predominantly belonged to the 36–45 age group, with 70.0% (p < 0.001) reporting more than one year of regular gym attendance, and 40.4% indicating regular FS consumption (p < 0.05). Supplements were mainly used to support faster recovery (29.1%, p < 0.05) and muscle growth (25%, p < 0.05). Magnesium was the most commonly used supplement, equally favored across genders and age groups. Creatine, fish oil capsules, and multivitamins were also frequently consumed (p < 0.05). Self-prescription emerged as the predominant method of FS use (40.3%, p < 0.05), followed by advice from gym coaches (21.8%), with only 5.6% of participants receiving guidance from a nutritionist. Conclusions: The findings highlight a societal trend toward self-directed FS use, often influenced by informal sources, underscoring the importance of further research and the development of targeted, evidence-based educational strategies. Males reported higher FS consumption, with younger users more focused on muscle gain and older individuals prioritizing health maintenance. The reliance on non-expert recommendations raises concerns about the safety and effectiveness of FS usage in the fitness community. Full article

Groundwater, which constitutes 95% of the world’s freshwater resources, is widely used for drinking and domestic water supply, agricultural irrigation, energy production, bottled water production, and commercial use. In recent years, due to pressures from climate change and excessive urbanization, a noticeable decline in groundwater levels has been observed, particularly in arid and semi-arid regions. The corresponding changes have been analyzed using a diverse range of methodologies, including data-driven modeling techniques. Recent evidence has shown a notable acceleration in the utilization of such advanced techniques, demonstrating significant attention by the research community. Therefore, the major aim of the present study is to conduct a bibliometric analysis to investigate the application and evolution of machine learning (ML) techniques in groundwater research. In this sense, studies published between 2000 and 2023 were examined in terms of scientific productivity, collaboration networks, research themes, and methods. The findings revealed that ML techniques offer high accuracy and predictive capacity, especially in water quality, water level estimation, and pollution modeling. The United States, China, and Iran stand out as leading countries emphasizing the strategic importance of ML in groundwater management. However, the outcomes demonstrated that a low level of international cooperation has led to deficiencies in solving transboundary water problems. The study aimed to encourage more widespread and effective use of ML techniques in water management and environmental planning processes and drew attention to the importance of transparent and interpretable algorithms, with the potential to yield rewarding opportunities in increasing the adoption of corresponding technologies by decision-makers. Full article

We developed a combined drought index to better monitor agricultural drought events. To develop the index, different combinations of the temperature condition index, precipitation condition index, vegetation condition index, soil moisture condition index, gross primary productivity, and normalized difference water index were used to obtain a single drought severity index. To obtain more effective results, a mesoscale hydrologic model was used to obtain soil moisture values. The SHapley Additive exPlanations (SHAP) algorithm was used to calculate the weights for the combined index. To provide input to the SHAP model, crop yield was predicted using a machine learning model, with the training set yielding a correlation coefficient (R) of 0.8, while the test set values were calculated to be 0.68. The representativeness of the new index in drought situations was compared with established indices, including the Standardized Precipitation-Evapotranspiration Index (SPEI) and the Self-Calibrated Palmer Drought Severity Index (scPDSI). The index showed the highest correlation with an R-value of 0.82, followed by the SPEI with 0.7 and scPDSI with 0.48. This study contributes a different perspective for effective detection of agricultural drought events. The integration of an increased volume of data from remote sensing systems with technological advances could facilitate the development of significantly more efficient agricultural drought monitoring systems. Full article

Following the outbreak of the civil war in Syria, a massive migration of Syrian nationals to Türkiye has been a significant phenomenon. This situation has become a problematic issue, as the massive presence of Syrian refugees in Türkiye has become an important part of the domestic political agenda. The politicization of the refugee issue has long since presented a duality of conflicting opinions among the Turkish society, whereas it has led to political debates between pro-government and opposition groups. In light of these developments, Turkish government elites have produced discourses of religious solidarity with the aim of providing tolerance and social acceptance for Syrian refugees and thus legitimizing the open door policy of the government toward these refugees. The aim of this study is to analyze and categorize the themes that constitute the basis of the discourses of religious solidarity regarding Syrian refugees in Türkiye. In this context, a second aim is to demonstrate how these themes have been welcomed in a positive manner by their adoption and recognition by Turkish society. To these aims, governmental discourses of religious solidarity and a sample consisting of 980 posts on the digital platform X have been analyzed by using the critical discourse analysis technique and have been categorized under two discursive themes, namely the ensar–muhacir analogy and the emphases on the Ottoman legacy. The conformity between these discourses and the government’s ideological orientation and the degree to which these discourses have been welcomed and adopted by the Turkish society have been discussed in detail. Full article

The association between movement screening and physical fitness testing in athletes is conflicting, and therefore, this study aimed to examine the relationship between Functional Movement Screen (FMS) performance and physical performance in elite female youth football players. Twenty-two players from the national U16 team of Bosnia and Herzegovina underwent FMS and physical performance tests, including speed, agility, and jump assessments. Jump and speed performance score correlated well with ASLR, while the overall FMS score was not associated with any of the performance variables. These findings suggest that while certain movement patterns may impact athletic performance, the relationship between movement screening and physical performance is delicate. Coaches and practitioners should consider individual variations and sport-specific demands when interpreting FMS results in order to optimize and maximize athlete performance and reduce injury risks. Full article

It is an irony of history that since texts transcend the intentions and purposes of their authors, their meaning and significance are often contested anew as they enter new historical contexts; even historical texts are thus subject to reading and criticism over time. This article discusses the posthumous fate of Henry Stubbe’s own text on Islamic history, The Rise and Progress of Mahometanism—seen by some to represent a Copernican revolution in the study of Islam. The fate of this work is a clear example of the critical contingencies and fluctuating fortunes experienced by a corpus of texts. The continuing existence of a text as an object open to reconfiguration and re-evaluation is termed its after-history (Nachgeschichte) or afterlife (Nachleben). This notion of the afterlife of an object as a period of critical appreciation and political appropriation aptly defines the fate and fame of The Rise and Progress of Mahometanism. The present study seeks to explore the narrative surrounding a publication authored by Stubbe in the 17th century and finally published by Hafiz Mahmud Khan Shairani, with the critical support of Ottoman intellectual Halil Halid Bey, nearly two centuries later. Its objective is to investigate how the life and contributions of a figure whose work has transcended generations was resurrected within the political backdrop of the 20th century, as evidenced in the columns of Ottoman newspapers. Full article

We investigated the spatiotemporal variability of remotely sensed gross primary productivity (GPP) over Türkiye based on MODIS, TL-LUE, GOSIF, MuSyQ, and PMLV2 GPP products. The differences in various GPP products were assessed using Kruskal–Wallis and Mann–Whitney U methods, and long-term trends were analyzed using Modified Mann–Kendall (MMK), innovative trend analysis (ITA), and empirical mode decomposition (EMD). Our results show that at least one GPP product significantly differs from the others over the seven geographic regions of Türkiye (χ² values of 50.8, 21.9, 76.9, 42.6, 149, 34.5, and 168; p < 0.05), and trend analyses reveal a significant increase in GPP from all satellite-based products over the latter half of the study period. Throughout the year, the average number of months in which each dataset showed significant increases across all study regions are 6.7, 8.1, 5.9, 9.6, and 8.7 for MODIS, TL-LUE, GOSIF, MuSyQ, and PMLV2, respectively. The ITA and EMD methods provided additional insight into the MMK test in both visualizing and detecting trends due to their graphical techniques. Overall, the GPP products investigated here suggest ‘greening’ for Türkiye, consistent with the findings from global studies, but the use of different statistical approaches and satellite-based GPP estimates creates different interpretations of how these trends have emerged. Ground stations, such as eddy covariance towers, can help further improve our understanding of the carbon cycle across the diverse ecosystem of Türkiye. Full article

Given the prevailing arid climate and rapid population growth, groundwater resources face unprecedented challenges globally, including depletion, seawater intrusion, and contamination. Managed aquifer recharge (MAR) technologies have emerged as valuable solutions to address these pressing issues. However, identifying suitable regions for MAR activities is a complex task, particularly at the country level. Therefore, in this study, we propose a robust approach that combines the fuzzy analytical hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) to delineate suitable sites for MAR structures. The proposed model was applied to Djibouti, a hot, dry, and water-stressed country. We identified a set of nine decision criteria and conducted a pairwise comparison survey to determine their relative importance. Additionally, the TOPSIS method was employed to integrate the decision layers and prioritize the study area. The results highlight the significance of rainfall, the slope, and the NDVI as the most influential decision parameters, while the drainage density has the least impact. A suitability analysis reveals that 16.38%, 17.96%, and 30.41% of the country have a very high, high, and moderate potential for MAR activities, respectively. Furthermore, a sensitivity analysis demonstrates the stability of the proposed model, affirming the usefulness of the generated suitability map. Full article

Despite claims that digital platform-mediated jobs may have negative consequences for the labor market, empirical evidence supports the existence of positive effects, especially for low-paid and low-skilled service jobs. Comparative studies on the characteristics, working conditions, and earnings of workers who perform these jobs on digital platforms are becoming widespread. However, there needs to be more literature regarding the demand side of digital platform-mediated service jobs. This study aims to determine the factors affecting the demand for digital platform-mediated services using a dataset obtained from a comprehensive survey conducted by Turkish Statistical Institute (TurkStat) throughout Turkey. The study uses the probit econometric model with a qualitative dependent variable. The results show that the income level of the individuals, the characteristics of the region where they live, and the familiarity of individuals with digital platforms significantly affect the demand for digital platform-mediated services. The findings demonstrate that specifically middle-income individuals, compared to individuals in other income groups, individuals residing in areas with high population density, compared to individuals in other regions, and individuals with Internet familiarity, compared to other individuals, exhibit a higher demand for digital platform-mediated services. Full article

Player performance in an intense sport such as basketball is known to be related to attributes such as speed, agility, and power. This study presents a comparative analysis of associations between anthropometric assessment and physical performance in different age groups of elite youth basketball players, while simultaneously identifying the predictors for speed and agility in these players. U14 (n = 44), U15 (n = 45), and U16 (n = 51) players were tested for anthropometry, lower-body power, speed, and agility. U16 players were found to be taller, heavier, more muscular than U14 and U15 players. In addition, the U16 group showed better performance in all performance tests. Age had a significant positive correlation with countermovement (CMJ) and drop jump (DJ) performance in U14 players, and a significant negative correlation with 15m and 20m sprint times in the U15 group. CMJ and DJ emerged as the most significant predictors for sprint and agility variables, respectively. Body fat percentage was found to be a significant predictor for the speed and agility tests in all age groups, but a negative lower-body power predictor. Therefore, besides all sport-specific and fitness tests, it is essential to place emphasis on the percentage of body fat when designing players’ individualized training programs, and during team selection. Full article