Adıyaman University

The Tut region of Adıyaman in southeastern Türkiye experienced destructive debris flow events on 15 March 2023, following a period of intense rainfall under post-seismic conditions. These flows were spatially and temporally associated with the destabilizing effects of the Kahramanmaraş earthquake sequence, which had earlier weakened slope materials generating extensive coseismic landslide debris and initiating destructive debris flows in a region where these processes had not previously been documented. Subsequent high-intensity precipitation rapidly mobilized saturated colluvial materials along steep terrain, causing severe socio-economic damage and two confirmed fatalities. Field observations and remote sensing analysis revealed that 396 debris flows were initiated on slopes composed predominantly of weathered marl, shale, and clayey limestone lithologies that are particularly susceptible to failure under elevated pore water pressure conditions. Initially, a susceptibility analysis was conducted using a machine learning-based logistic regression model, incorporating relevant independent variables primarily derived from digital elevation models. The model achieved high predictive performance, with an area under the receiver operating characteristic curve of 0.90. To complement susceptibility mapping and capture initiation and propagation of debris flow dynamics, physically based numerical simulations were conducted using the RAMMS model, calibrated through back-analyses of three catastrophic debris flow events. Back-analyses of the events provided estimates of flow intensity parameters, showing strong agreement with observed characteristics, thereby validating its application in cascading earthquake-rainfall hazard assessments. This study presents the first integrated debris flow susceptibility and numerical modelling framework by combining data-driven and physics-based approaches, it advances understanding of cascading earthquake-rainfall hazards and provides a robust foundation for debris flow hazard assessment. The generated susceptibility and hazard maps are expected to enhance awareness, preparedness, and planning efforts among local communities, engineers, and land-use decision-makers.

Agomelatine is a melatonergic antidepressant that has been shown to exert beneficial effects on stress-related behavioral and neurobiological outcomes. The present study investigated its impact on cognitive functions and neurogenesis in rats given acute stress. Male and female rats (n = 10 per group) were divided into four subgroups: control, acute stress, agomelatine-treated control, and agomelatine-treated stress. Agomelatine (10 mg/kg/day) was supplied via gavage for 14 days. Behavioral assays (sucrose preference, forced swimming test, Y‑maze) and immunohistochemical analyses (DCX, Nestin, Ki-67) were conducted. Agomelatine treatment improved cognitive function in stressed rats, reduced cortisol levels, and increased markers of hippocampal neurogenesis. These data demonstrate that agomelatine mitigates acute stress-induced behavioral and neuroendocrine changes, suggesting its potential function in stress-related disease.

BackgroundThis study aimed to investigate the acceptance of cosmetic surgery among women in relation to their happiness and life satisfaction.MethodsA cross-sectional, descriptive-correlational study employing latent profile analysis was conducted. An online survey was administered to 422 women between November 2024 and February 2025. Data were collected using a Sociodemographic Form, the Cosmetic Surgery Acceptance Scale, the Oxford Happiness Questionnaire-Short Form, and the Contentment with Life Assessment Scale.ResultsParticipants reported moderate average levels of happiness, life satisfaction, and cosmetic surgery acceptance. Correlation analysis revealed a significant positive relationship between happiness and life satisfaction. However, neither happiness nor life satisfaction showed a significant overall correlation with cosmetic surgery acceptance. In the latent profile analysis, participants were divided into three different groups as low (Class1), medium (Class2) and high (Class3) in cosmetic surgery acceptance. In the analysis, it was found that of the three acceptance groups defined, the high acceptance group had higher scores for happiness and life satisfaction than the other groups. In the logistic regression analysis, it was seen that sociodemographic variables had the potential to increase cosmetic surgery acceptance levels, but it was not found to be statistically significant.ConclusionHappiness and life satisfaction are interrelated but do not predict overall acceptance of cosmetic surgery. The high acceptance group exhibited greater psychological well-being, revealing the heterogeneity of acceptance. Sociodemographic variables did not prove predictive. The findings call traditional assumptions into question.Level of Evidence IVThis journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Acne vulgaris is a chronic inflammatory skin disease. Recent evidence suggests that systemic immune and metabolic factors, including the kynurenine pathway of tryptophan metabolism, may contribute to its pathogenesis. This study aimed to investigate serum levels of kynurenine pathway metabolites in acne vulgaris. This case-control study included 50 patients with acne vulgaris and 50 age- and sex-matched healthy controls. Serum levels of tryptophan, kynurenine, 3-hydroxykynurenine, 3-hydroxyanthranilic acid, and kynurenic acid were measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The kynurenine/tryptophan ratio was calculated as an indicator of indoleamine 2,3-dioxygenase (IDO) activity. Disease severity was assessed using the Global Acne Grading System. Serum levels of kynurenine, 3-hydroxykynurenine, and the kynurenine/tryptophan ratio were significantly higher in the patient group compared to controls, while tryptophan levels were significantly lower. The kynurenine/tryptophan ratio and kynurenine level demonstrated high discriminatory power in ROC curve analysis, with AUC values of 0.904 (95

Flat-slab systems manufactured with self-compacting concrete (SCC) incorporating low hybrid fiber content offer a promising alternative for improving punching shear performance while enhancing constructability in building applications. In this paper, the punching shear behavior of flat-slabs produced with single, binary, and ternary fiber-reinforced SCC was experimentally investigated in terms of load-deflection response, ductility, toughness, cracking behavior, and failure mode. In parallel, a comprehensive database comprising 268 fiber-reinforced concrete flat-slab test results collected from the literature was established, and artificial intelligence (AI)based predictive models were developed to estimate punching shear capacity (Vpun). Model performance was evaluated using statistical indicators, whereas SHapley Additive exPlanations (SHAP) feature importance and partial dependence plots (PDPs) were employed to enhance interpretability and reveal the governing parameters influencing punching capacity. The outcomes demonstrate that binary hybrid fiber systems provide the most effective enhancement in punching capacity and post-cracking performance, even at low fiber contents, outperforming conventional solutions such as shear studs. Among the developed AI models, the Extra Trees Regressor and Random Forest algorithms exhibited the highest prediction accuracy for the Vpun. Finally, the AI models were integrated into a user-friendly graphical interface to facilitate practical engineering applications. Overall, this research contributes by experimentally validating low-fiber SCC flat-slabs as an efficient punching solution and by proposing an explainable, data-driven decision-support framework for engineering design.