Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleYalnız künye2026Scopus SJRQ1
    Topo-climatic control on earlywood and latewood growth of Pinus sylvestris L. across the Eastern Black Sea (Türkiye) climatic barrier

    Işık, Fatih; Eraslan, Selim; Köse, Nesibe

    This study investigates the growth dynamics of Pinus sylvestris across the Zigana and Tersun Mountains in the Eastern Black Sea transition zone (Türkiye), elucidating the role of topography in modulating climate–growth relationships. By utilizing 476 increment cores from 239 trees across 12 sites, we developed tree-ring width (TRW), earlywood (EW), and latewood (LW) chronologies to evaluate growth responses along elevation and aspect gradients using moving correlation analysis and Generalized Additive Mixed Models (GAMM). Results reveal a pronounced topo-climatic differentiation: northern slopes of Zigana operate under cold-limited regimes, where growth is primarily governed by early-season temperatures (March–April). Conversely, southern slopes and the inland Tersun Mountains exhibit a shift toward moisture-limited regimes, with growth showing high sensitivity to May–June precipitation. Moving correlation analyses demonstrate a significant temporal transition since the late 1960s, where temperature-driven growth stimulation has been progressively replaced by an intensifying sensitivity to early-season moisture availability. GAMM results revealed non-linear growth responses to seasonal temperature and precipitation variability. The response curves indicated reduced growth under colder March–April conditions, with relative growth increasing markedly when March–April mean temperatures exceeded a model-estimated threshold of approximately 2.0–2.2 °C. May temperature showed a narrow statistical optimum around 7.5–9.7 °C, above which the estimated growth response declined. May–June precipitation promoted growth up to a model-dependent saturation threshold of approximately 300 mm, followed by a tendency toward saturation or decrease. Ultimately, the Eastern Black Sea climatic barrier generates high local-scale variability, rendering inland populations increasingly vulnerable to drought stress under ongoing climate warming. These findings underscore the necessity of topographic context in climate-growth studies and emphasize the urgent need for site-specific, climate-adaptive forest management strategies.

    • SDG 13 · İklim Eylemi
  • MakaleYalnız künye2026Scopus SJRQ1
    Machine learning-based multi-class classification of rock mass permeability using integrated geotechnical and geophysical parameters

    Sari, Mahmut; Alemdag, Selcuk; Melek, Mesut; Seren, Aysel

    In engineering applications, machine learning (ML) provides a promising approach when direct characterization of subsurface properties is challenging, time-consuming, and costly. This study developed a multi-class ML framework for classifying rock mass permeability based on Lugeon values using 86 observations from drilling and geophysical investigations at the Kırklartepe dam site in Bayburt, Türkiye. Seven predictors were considered: depth, Rock Quality Designation (RQD), joint frequency, Schmidt hammer hardness, P-wave velocity, S-wave velocity, and electrical resistivity. The observations were assigned to four permeability classes: very low, low, moderate, and high. Six classifiers were evaluated: Polynomial Kernel Support Vector Machine (P-SVM), Linear Discriminant Analysis, k-Nearest Neighbors (k-NN), AdaBoostM2, Bagged Trees, and Radial Basis Function SVM. Sequential Forward Feature Selection and Leave-One-Out Cross-Validation were used for feature selection and model evaluation, respectively. Robustness was further assessed using bootstrap confidence intervals, class-imbalance treatments, feature-selection stability, and learning curves. Among the baseline models, P-SVM using all seven predictors achieved the highest accuracy (79.07%), with a macro-F1 of 0.774 and the lowest Golden Distance (GD = 0.4372). When balanced class-wise performance was prioritized, k-NN with in-fold SMOTE achieved the lowest overall GD (0.4126) and a macro-F1 of 0.777. S-wave velocity and electrical resistivity were the most influential predictors. Overall, the findings demonstrate that the proposed framework effectively integrates geotechnical and geophysical data for rock mass permeability classification, providing a robust, data-driven decision-support approach that supports subsurface characterization and complements conventional permeability assessment in engineering applications.

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  • MakaleAçık Erişim2026Scopus SJRQ1
    Comparison of Aluminum Composite Sandwich and Traditional Reinforced Concrete Slab Frame Systems in Terms of Dynamic and Global Behavior

    Demirağ, Özgül; Öztekin, Ertekin

    The high mass of traditional reinforced concrete (RC) slabs significantly increases seismic forces in buildings. While lightweight aluminum foam sandwich (AFS) composite slabs offer radical mass reduction, their global seismic performance and interaction with diaphragm flexibility in RC frames remain underexplored. This study presents a linear elastic comparative analysis of pure RC moment frames (1–6 stories), contrasting traditional slabs with AFS slabs under both rigid and semi-rigid diaphragm assumptions. All models were optimally designed to meet identical Eurocode serviceability and stability limits, ensuring a fair comparison via response spectrum analysis. Results show that AFS slabs reduce total structural weight by 33.5–45.9%. This mass reduction, combined with period elongation in semi-rigid models, substantially decreases elastic seismic demands: story shear forces are reduced by 30.9–45.1% for rigid-diaphragm models and by up to 64.3% for semi-rigid ones, while column axial loads decrease by up to 33.7%. All systems satisfied code drift and stability criteria. It is concluded that AFS slabs can dramatically lower seismic mass and elastic force demands while maintaining serviceability, with semi-rigid action providing additional reductions. These conclusions are derived from linear elastic analysis and are applicable to pure frame systems; nonlinear performance and behavior in dual systems require future investigation.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
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  • MakaleYalnız künye2026Scopus SJRQ2
    Multi-scale greening dynamics in Türkiye’s Ecoregions (2001–2024): the effects of elevation and land cover on NDVI change tendencies

    Işık, Fatih; Eraslan, Selim

    Understanding vegetation dynamics in terrestrial ecosystems is critical under the pressures of global climate change and anthropogenic activities. This study analyzes vegetation dynamics from 2001 to 2024 in Türkiye’s 13 biodiverse terrestrial ecoregions using a multi-scale approach, focusing not only on the main drivers, but also on the interactive and context-specific role of these factors. Using the Google Earth Engine (GEE) platform and MODIS Normalized Difference Vegetation Index (NDVI) data, integrated through a structured multi-scale framework, we applied statistical methods including the Mann–Kendall test, Kruskal–Wallis test, and LOESS curves optimized with leave-one-out cross-validation (LOOCV) to objectively model non-linear dynamics. The results revealed statistically significant positive NDVI change tendencies in all 13 terrestrial ecoregions (Mann–Kendall test, p < 0.05). Forest-dominated ecoregions exhibited the strongest greening, with Sen’s slope values reaching +0.0032 NDVI year⁻1 in the Euxine–Colchic Broadleaf Forests, whereas steppe ecosystems showed more moderate increases (e.g., Central Anatolian Steppe: + 0.0019 NDVI year⁻1). Across elevation gradients, the most consistent and strongest greening occurred at mid-elevations (500–1500 m; τ ≈ 0.40–0.65), while change tendencies weakened and became more heterogeneous at higher elevations. Land-cover-based analysis further showed that natural vegetation types exhibited the strongest nationwide tendencies (“Trees”: τ = 0.71; “Shrubland”: τ = 0.66), whereas anthropogenically influenced classes displayed weaker or regionally variable responses. Beyond documenting general greening patterns, the original contribution of this study lies in introducing a structured multi-scale framework that integrates long-term MODIS NDVI time series (2001–2024) with ecoregion, elevation, and land cover contexts. This approach enables the objective identification of ecosystem-specific and scale-dependent vegetation dynamics that cannot be captured by conventional single-scale or linear trend-based analyses commonly applied in previous studies in Türkiye.

    • SDG 13 · İklim Eylemi
    • SDG 15 · Karasal Yaşam
    AtıfWoS1OpenAlex1
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  • MakaleYalnız künye2026Scopus SJRQ1
    Exposure to Violence and Therapeutic Communication in Nursing Students

    Erol, Ahmet; Tuncer, Metin

    Background: – Workplace violence negatively affects the professional development of nursing students. Objectives: – To investigate nursing students’ exposure to violence, violence-management competence, and therapeutic communication during clinical practice. Methods: – A descriptive, cross-sectional, correlational study involves 530 nursing students. Data were collected between September 2024 and February 2025 using a Sociodemographic Form, the Workplace Violence Competence Scale, and the Therapeutic Communication Skills Scale. Results: – Violence was reported by 32.8% of students, mainly verbal (60.9%) and psychological (47.1%), often by patients or relatives. Communication skills correlated positively with violence management competence, explaining 18.1% of the variance. Higher self-confidence, problem-solving, voluntary choice of profession, and prior education were associated with better outcomes. Conclusions: – Nursing students are at substantial risk of violence during clinical practice, and their ability to manage it is enhanced by therapeutic communication and supportive factors, underscoring the need to strengthen curricula and faculty preparation.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 4 · Nitelikli Eğitim
    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
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  • MakaleYalnız künye2026Scopus SJRQ2
    Cenozoic Lamprophyres From NE Türkiye: New Constraints on Post-Collisional Metasomatism and Alkaline Magma Origin in the Juvenile Subcontinental Lithospheric Mantle

    Arslan, Mehmet; Temizel, İrfan; Krmíček, Lukáš; Yücel, Cem

    The Middle Eocene (~43 Ma) and Late Miocene (~6 Ma) lamprophyres cropping out as sills from NE Türkiye can be classified as alkaline lamprophyres. These lamprophyres exhibit moderate contents of K2O (2.22–2.59 and 2.58–2.98 wt%), K2O/Na2O ratios (0.78–1.14 and 0.62–0.94) and Mg# (40.55–46.32 and 56.93–61.52), respectively, and low concentrations of mantle compatible elements. The lamprophyres also have a moderate to relatively high abundance of rare earth elements (ΣREEs = 140–159 and 547–604 ppm, respectively) with significantly fractionated REE patterns (LaN/YbN = 6.82–9.10 and 65.17–71.31, respectively), and are enriched in large-ion lithophile and light REEs but depleted in high-field-strength and heavy REEs. The lamprophyres have homogeneous and moderately low (87Sr/86Sr)i of 0.705048–0.705474 and 0.705252–0.705401, and nearly uniform εNd(i) values varying from −0.47 to 0.20 and 0.54 to 0.79 and εHf(i) values varying from 4.51–6.71 and 5.83–6.18, respectively. They also have a narrow and moderately high Δ7/4Pb range of 6.19–15.41 and 10.62–10.88 and Δ8/4Pb range of 49.56–56.14 and 46.86–47.99, respectively. Petrological modelling suggests that the parental magmas of both the Eocene and Miocene lamprophyres were generated by the low-degree partial melting of phlogopite-bearing spinel-garnet and amphibole-bearing garnet lherzolite sources, respectively. By integrating whole-rock trace elements and isotope compositions with regional geological observations, we propose that the post-collisional Middle Eocene and Late Miocene lamprophyres in the Eastern Pontides Orogenic Belt originated from the juvenile subcontinental lithospheric mantle sources metasomatized initially by Neotethyan subduction-related fluids during the Eocene, and subsequently overprinted by delaminated lithosphere-derived carbonate components in the Miocene. The lamprophyres likely record a temporal magmatic response to lithospheric delamination and regional thermal upwelling associated with Eocene extensional tectonics, followed by lithospheric thinning during the Miocene in a post-collisional tectonic setting.

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  • Derleme MakaleAçık Erişim2026Scopus SJRQ1
    Quaternary palaeoenvironmental archives of the Indian subcontinent and their imprint on herpetofaunal biogeography: A multi-proxy synthesis

    Kurnaz, Muammer

    This review presents the first integrated proxy, mechanism and biotic-response framework for the Indian Quaternary, linking the Subcontinent's dense network of palaeoenvironmental archives to the biogeographic trajectory of its endemic herpetofauna. Speleothem δ18O records, Arabian Sea and Bay of Bengal sediment cores, Karewa and peninsular lake sequences, Siwalik and Narmada alluvium, and Kurnool cave deposits together document Indian Summer Monsoon (ISM) variability on orbital, millennial, centennial and historical timescales (the historical band here denoting the past ∼2000 years, resolved by dated speleothem and documentary records). Against this proxy backbone, the fossil and molecular phylogeographic record of Indian amphibians and reptiles is evaluated as a biogenic assemblage here, the body of biological evidence (fossils, subfossils and the phylogeographic signatures of living taxa) that, like pollen or foraminifera, records past environmental conditions that complements geological and climatological archives. Three patterns emerge. At orbital scale, ISM variability aligns with Plio–Pleistocene diversification slowdowns in Western Ghats ranoids and with the Late Pliocene lineage divergence of the Himalayan toad Duttaphrynus himalayanus across the Thakkhola basin. Abrupt Holocene excursions, including the 8.2 ka and 4.2 ka events, are resolved at high precision in speleothem and marine archives but remain untested against coalescent demographic inference in Indian herpetofauna. Late Pleistocene aridity, most severe at the Last Glacial Maximum, coincides with community-level impoverishment in peninsular cave faunas at Kurnool, although the available evidence establishes co-occurrence rather than a demonstrated causal role for aridity relative to co-varying thermal and vegetation change. Three proxy-calibrated research priorities follow: microvertebrate taphonomy in Narmada and Karewa sequences, population genomics tied to speleothem chronology, and species-distribution hindcasting to the LGM, mid-Holocene and 4.2 ka intervals. The synthesis contributes to a biogenic assessment of Quaternary-to-Recent climate impacts on life on the Indian Subcontinent, aligned with UN Sustainable Development Goals 13 (Climate Action) and 15 (Life on Land), and supports future projections of amphibian and reptile response to ongoing change.

  • MakaleAçık Erişim2026Scopus SJRQ1
    Thermal Energy Storage Performance of EPCM-Impregnated Moss Biomass Placed in OKAL Chipboard for Use in Building Envelopes and Interior Space Separation

    Can, Ahmet; Erata, Hüseyin; Gencel, Osman; Erol, Tuğçenur Bayraktar; Sarı, Ahmet; Batan, Nevzat

    This study develops an innovative thermal energy storage approach for lightweight building systems by using eutectic phase change material (EPCM)-impregnated moss biomass (Cp/EPCM) in the internal voids of OKAL chipboard (OKS-Cp/EPCM). A high latent heat storage (LHS) capacity of 121.4 J/g was achieved with a 72% EPCM loading. Furthermore, the thermal conductivity of the OKS-Cp/EPCM decreased from 0.15074 W/m·K to 0.109 W/m·K. Thermal imaging results showed that the OKS-Cp/EPCM improved thermal comfort by reducing the surface temperature by approximately 10.5 °C in hot environments and providing an approximately 1 °C higher surface temperature in cold environments. However, TGA analyses revealed that the thermal resistance of the composite was limited. Relative humidity results also indicated that Cp/EPCM positively contributed to the moisture regulation performance of the board. Based on these results, OKS-Cp/EPCM offers a promising solution for the development of energy-efficient and thermally comfortable lightweight building elements.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 13 · İklim Eylemi
  • MakaleAçık Erişim2026Scopus SJRQ2
    Rethinking sexual response: are erogenous zones—including nipple stimulation—more than secondary stimuli? A meta-analysis

    Yildiz Karaahmet, Aysu; Karakas, Sevda; Bilgic, Fatma Sule

    Objectives: The nipple, a key erogenous zone in female sexual response, is often insufficiently considered in clinical practice, and scientific studies on nipple stimulation are limited. The aim of this study was to conduct a systematic review and meta-analysis of studies examining the effect of nipple stimulation on sexual response and sexual satisfaction in young women. Methods: For this systematic review and meta-analysis, studies were identified through a search of the PubMed, Cochrane Library, EBSCOhost, Embase, Web of Science, PsycINFO, and Scopus databases without any year restrictions. Results: A total of nine studies (~1276 participants) were included in the systematic review. Of these, six studies (390 intervention, 441 control; n = 831) contributed to the meta-analysis of sexual response/orgasm outcomes, and six studies (655 intervention, 621 control; n = 1276) contributed to the meta-analysis of sexual satisfaction. Nipple stimulation significantly improved sexual response [standardized mean difference (SMD) = 0.51, P < .00001] and sexual satisfaction (SMD = 0.59, P = .005). Discussion: Nipple stimulation may be used as a supportive method to enhance sexual function and sexual satisfaction in young women. It may be considered as a complementary approach to sexual counseling and therapy, particularly for women experiencing sexual aversion, difficulty with arousal, and orgasm problems. This meta-analysis suggests that nipple stimulation may have a moderate positive effect on sexual response and sexual satisfaction in young women; however, the findings should be interpreted with caution due to the limited age range of the included population and the heterogeneity across studies.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
  • MakaleYalnız künye2026Scopus SJRQ4
    Covalent Immobilization of Glutathione-S-Transferase onto Magnetic Iron Nanoparticles via Epichlorohydrin Spacer Arm

    Kemal Caglar, M.; Gulesci, Nuri; Bilgin, Ramazan; Yucebilgic, Guzide

    This study examined the synthesis of Fe₃O₄ magnetic nanoparticles (MNPs) and the covalent immobilization of glutathione-S-transferase (GSTs) onto these nanoparticles using an epichlorohydrin (ECH) spacer arm, as well as the optimal reaction conditions for both free and immobilized enzymes and the reusability of the immobilized enzyme. The optimal pH values for free and immobilized enzymes were established as 7.0 and 6.0, respectively. It was found that the ideal temperature for both free and immobilized enzymes was 37 and 40°C, respectively. Under the optimum conditions, the values of V_max for glutathione (GSH) and 1-chloro-2,4-dinitrobenzene (CDNB) substrates of free GSTs enzyme were measured as 204.8 U/mg prot. and 194.3 U/mg prot., respectively. The immobilized GSTs enzyme's CDNB and GSH substrates had V_max values of 33.29 U/mg prot. and 33.08 U/mg prot., respectively. The free GSTs enzyme's CDNB and GSH substrates have K_m values of 0.201 mM and 0.1873 mM, respectively. GSH and CDNB have K_m values of 0.3042 mM and 0.2523 mM, respectively. At various temperatures, we contrasted the thermal stability of free and immobilized GSTs. The immobilized GSTs enzyme retained 50% of its activity after 20 reuses. After 30 days of storage at 25°C and 4°C, it was discovered that 18% and 32% of the free GSTs enzyme activity were preserved, and 30 days of storage at 25°C and 4°C resulted in 20% and 41% preserved enzyme activity for the immobilized enzyme, respectively.

  • MakaleAçık Erişim2026Scopus SJRQ1
    Eccentric Hamstring Strength and Interlimb Asymmetry in Professional Football Players: A NordBord-Based Longitudinal Analysis of Two Professional Teams

    Altuğ, Tolga; Söyler, Mehmet; Yılmaz, Coşkun; Eraslan, Meriç; Aydın, Ahmet Serhat; Kadı, Mustafa Nurullah; Akyol, Pelin; Küçük, Hamza

    The aim of this study was to examine temporal changes in eccentric hamstring strength, impulse-based mechanical outputs, and interlimb asymmetry in professional football players performing a football-specific eccentric hamstring training program. Forty male football players (18–25 years) from two teams competing in the Turkish Second Professional Football League participated in this longitudinal cohort study. Eccentric hamstring performance was assessed at three time points (pre-, mid-, and post-season) using the NordBord Hamstring Testing System. Mixed-design repeated-measures ANOVA revealed significant main effects of time and significant time × Team interactions for left and right maximal impulse values (p < 0.05). In contrast, maximal eccentric force variables showed no significant time effects, although significant time × Team interactions were observed for both limbs (p < 0.05). Interlimb maximal force asymmetry and mean asymmetry demonstrated significant time effects, while Team effects and interaction terms were not significant. Overall, these findings indicate that temporal changes in eccentric hamstring performance in professional football players may be more clearly reflected in force–time–dependent metrics, particularly impulse, rather than peak force outputs. Accordingly, impulse-based measures may provide additional insight into eccentric hamstring performance changes in professional football players.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • MakaleYalnız künye2026Scopus SJRQ1
    Quality deterioration kinetics of roasted peanut matrices under fixed-time and estimated-lethality at various water activities

    Islam, Shahriar; Li, Zhiwei; Wang, Xin; Tasci, Caner; Ozturk, Samet; Erdoǧdu, Ferruh; Zhang, Qing; Liu, Shuxiang

    Water activity and particle size are critical determinants of quality stability and safety in low-moisture, lipid-rich foods. However, their combined effects during thermal processing of roasted peanut matrices remain insufficiently quantified. This study evaluated quality deterioration in roasted peanut matrices with different structural forms: crushed, flour, powder, and butter. Samples were equilibrated to water activity values of 0.11–0.92 at 25 °C and heated at 80 °C for 120 min. Colour, acid value, sensory score, and changes in relative fatty acid composition were measured. Kinetic experiments were also conducted at aw,25°C 0.32 using D-value-based thermal schedules at 85, 90, and 95 °C to relate microbial lethality to quality loss. Water activity strongly affected quality stability, with the predicted quality-favourable values varying slightly among responses. Therefore, aw,25°C (0.32) was selected as a practical condition for subsequent kinetic evaluation. Matrix performance differed between the fixed-time and D-value-based treatments. These findings describe quality deterioration under fixed-time and D-value-based thermal schedules.

    • SDG 2 · Açlığa Son
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  • MakaleAçık Erişim2026Scopus SJRQ3
    Innovation and Competitive Characteristics in Local Forest Industry Enterprises: A Case Study; [Inovacijska i konkurentska obilježja lokalnih poduzeća drvne industrije: studija slučaja]

    Komut, Osman; Karabulut, Ayşenur

    The forest products industry makes significant contributions to national economies in terms of basic economic indicators such as employment, expansion into rural areas, added value, investment and exports. This study aims to measure the innovation perception, awareness and competitiveness of small and medium-sized forest products enterprises operating in local areas on the basis of different variables. Within the scope of the study, a data collection tool including on-site observation, interviews and the developed scale was used on enterprises located in a local administrative region. The data obtained were subjected to hypothesis testing and correlation analysis. The findings revealed that the perception of innovation in small and medium-sized forest products industry enterprises is affected by demographic factors related to the enterprise managers, and basic factors related to the enterprise such as the number of employees, field of activity, duration of activity, annual average income, and product distribution channels. Furthermore, it has been determined that innovation awareness decreases as the scale of the enterprises shrinks. As a result, it can be said that the innovation and competition characteristics that are valid in the global and national forest products industry market are not yet fully applicable to local-scale and low-capacity enterprises.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • MakaleYalnız künye2026Scopus SJRQ2
    Economic and financial stability under uncertainty in the U.S.: insights from Fourier analysis

    Polat, Mehmet Ali; Akbas, Yusuf Ekrem; Sancar, Canan; ŞİT, Ahmet

    In the aftermath of the 2008 Global Financial Crisis, the occurrence of financial turmoil even in developed economies has sparked renewed debates on financial stability and caused the rise of the relevance of the variables employed to represent financial stability, which has gained increasing importance in the literature. This study investigates the impact of economic stability and uncertainty on financial stability in the United States over the period 1970 to 2022. Financial stability is proxied by the index developed by Owoundi, Mbassi, and Owoundi (2021), while economic stability is captured through the International Country Risk Guide (ICRG 2014) index. The relationship among the variables is examined using the Fourier methodology. The empirical findings reveal that economic stability exerts a positive influence on financial stability, whereas economic uncertainty negatively affects financial stability only in the long run. The causality analysis further indicates a unidirectional causal flow from economic stability and economic uncertainty to financial stability, in line with the coefficient estimates. Additionally, the results demonstrate bidirectional linkages between financial stability and economic stability.

  • MakaleYalnız künye2026Scopus SJRQ1
    Very fast Kolmogorov-Arnold network for landslide susceptibility prediction

    Günen, Mehmet Akif; Tona, Aziz Uğur

    Landslides represent critical geological events causing loss of life and property. Prediction of landslide susceptibility is essential for risk reduction and decision-making. XGBoost, LightGBM, NGBoost, CatBoost, MLP, and FastKAN were used to predict landslide susceptibility in Gümüşhane, Türkiye, a region with complex topographic and geological structures. 20 factors were used: 9 topographical, 3 hydrological, 4 climatic, 2 geological, and 2 environmental and infrastructure-related factors. Model performance was assessed using Accuracy, Precision, Recall, and F-Score, with SHAP analysis showing feature contributions. A multicollinearity analysis was used to determine the final feature set. Topographical variables (Aspect, Slope) showed lower impacts, while geological and environmental factors (Lithology, Distance to Fault) demonstrated moderate influence across models. For FastKAN, DEM, precipitation, and distance to fault were key factors, while for boosting methods, GHI, Tmax, and DEM were most significant. FastKAN achieved the highest performance under the internal pixel-wise evaluation scheme, with an accuracy of 96.54%, followed by XGBoost at 95.56%. McNemar’s statistical test showed no significant difference between NGBoost and MLP. Post-inventory landslide events observed in 2025 and 2026 were spatially consistent with high and very high susceptibility zones, providing a qualitative consistency check rather than rigorous independent quantitative validation.

  • Derleme MakaleAçık Erişim2026Scopus SJRQ2
    Intersection of Precision Nutrition and Bladder Cancer: A Narrative State-of-the-Art Review of Potential Applications and Challenges

    Koçak, Tevfik; Özbek, Yağmur Demirel; Bodur, Mahmut; Yeşil, Süleyman; Ağagündüz, Duygu

    Bladder cancer (BC) is a biologically heterogeneous tumor affected by genetic, metabolic, environmental, and lifestyle factors. Recent research indicates that nutrition can change the way urothelial cancer forms by affecting inflammation, oxidative stress, cellular energy, and the epigenome. It can also change the risk of BC and how well treatment works. Simultaneous progress in precision nutrition (PN) and nutriomic profiling—encompassing nutrigenomics, nutrigenetics, nutriepigenetics, metabolomics, and microbiome science—presents novel options to tailor dietary regimens beyond universal guidelines. In this review, we consolidate existing knowledge regarding the nutritional factors influencing BC, outline pertinent principles of PN for BC prevention and survival, and explore how urine proteomics and molecular subtyping facilitate the integration of PN into precision oncology. Our review examines the methodological, bioinformatic, biomarker, and clinical translation challenges that impede the implementation of PN in BC management; these challenges include the need for validated nutritional biomarkers with mechanistic endpoints, interoperable data platforms, and rigorously designed clinical trials. Finally, we emphasize future prospects for PN-guided medical nutrition therapy and dietary models during and after systemic treatment recovery. We propose research priorities that will facilitate the integration of PN-informed individualized dietary plans with medical and surgical approaches in BC treatment, aiming to decrease the costs associated with expensive or excessively aggressive treatment methods, thereby supporting long-term survival care. This review seeks to establish a conceptual framework for the integration of PN into BC management by delineating the opportunities and challenges, hence promoting hypothesis-driven research in a promising yet underexplored domain.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • MakaleYalnız künye2026Scopus SJRQ1
    Quantile-based neutrosophic regression estimators under stratified random sampling

    Zaman, Tolga; Sozen, Caglar

    The neutrosophic framework provides a convenient way to represent uncertainty and indeterminacy through interval-valued quantities. This paper proposes quantile-based neutrosophic combined and separate regression estimators for the finite population mean under stratified random sampling. Building on the combined and separate quantile regression estimators of Koç and Koç (Axioms 12:713, 2023), we incorporate neutrosophic (interval) versions of stratum-specific quantile regression components and derive approximate bias and mean squared error (MSE) expressions using first-order linearization. We provide efficiency conditions under which the proposed neutrosophic estimators improve upon their classical counterparts and we evaluate performance via (i) a simulation study comparing classical and neutrosophic estimators, and (ii) a real-data illustration based on monthly high–low index data (2010–2024) for the S&P 500, Nikkei 225, and DAX, where MSE bounds are reported for the proposed neutrosophic estimators. Across the considered experiments, the neutrosophic separate estimator at the 0.50 quantile attains the smallest MSE among the reported competitors, suggesting that a median-oriented robust component combined with stratification can be effective when observations are imprecise. Limitations and directions for further extensions are discussed.

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  • MakaleAçık Erişim2026Scopus SJRQ2
    Neuromuscular and Kinetic Adaptations to Symmetric and Asymmetric Load Carriage During Walking in Individuals with Chronic Low Back Pain

    Tajik, Raheleh; Dhahbi, Wissem; Mimar, Raghad; Khaleghi Tazji, Mehdi; Ceylan, Halil İbrahim; Bayrakdaroğlu, Serdar; Stefanica, Valentina; Hammami, Nadhir

    Aim: This study examined how load size and symmetry affect trunk muscle activation patterns, vertical ground reaction forces, and estimated lumbar spine compression during overground walking in individuals with chronic low back pain (CLBP) and those without symptoms. Methods: Thirty male participants (15 with CLBP, 15 controls; ages 23–28 years) performed walking tests under four load conditions: symmetric and asymmetric carriage at 10% and 20% of body weight. Bilateral surface electromyography measured activation from seven trunk muscles (rectus abdominis, external oblique, internal oblique, latissimus dorsi, lumbar erector spinae, multifidus) and the thoracolumbar fascia region, normalized to maximum voluntary isometric contractions (%MVIC). Force plates recorded vertical ground reaction forces synchronized with heel-strike events. A repeated-measures ANOVA with Bonferroni corrections was used to analyze the effects of load configuration and magnitude. Results: Asymmetric loading at 20% body weight caused significantly higher peak vertical ground reaction forces compared to symmetric loading (mean difference = 47.3 N, p < 0.001), with a significant interaction between load magnitude and configuration (p = 0.004, ηp2 = 0.26). Participants with CLBP showed consistently higher trunk muscle activation throughout the gait cycle (peak: 37% MVIC vs. 30% MVIC in controls; p < 0.001, d = 1.68), with maximum recruitment at shorter muscle lengths and 24% less activation at optimal length (95% CI: 18.2–29.8%). The lumbar erector spinae and multifidus muscles exhibited the highest activation during asymmetric 20% loading in CLBP participants (0.282 and 0.263%MVIC, respectively), indicating compensatory neuromuscular strategies. Conclusion: Asymmetric load carriage creates disproportionately high mechanical and neuromuscular demands, effects that are greatly amplified in individuals with CLBP. These findings support rehabilitation strategies that improve load distribution and restore motor control, thereby reducing compensatory strain and enhancing trunk stability.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus5WoS5OpenAlex5
    ScopusWeb of SciencePubMedİncele
  • MakaleYalnız künye2026Scopus SJRQ2
    Electromechanical characterization and deep learning-based force prediction in 3D-printed PLA core–shell composites

    Ekmekci, Dursun; Kaplan, Emrah

    In this study, composite samples were produced using fused deposition modeling to contain an outer layer of red insulating polylactic acid and an inner core of black conductive polylactic acid. The mechanical properties of the samples were determined using three-point bending experiments, and their electro-mechanical impedance responses during loading were monitored using impedance experiments. To examine the effects of physical aging and crystallization, the composites were heat-treated at 50 °C for 2, 4, and 6 hours. The insulating polylactic acid exhibited brittle fracture with a sharp post-peak force drop, whereas the conductive polylactic acid showed a ductile fracture mode accompanied by substantial energy dissipation. The physically aged composites were stiffer and less ductile, which was attributed to the presence of partially crystallized and partially relaxed molecules, especially around the glass transition region. In support of the observed properties, scanning electron microscopy images confirmed that the fractured layers were smoother compared to the ductile conductive layers, which had surface roughness patterns resembling fibrillated or lamellar structures. Additionally, the impedance signals obtained during the bending experiments were linked with the corresponding mechanical properties using an advanced deep learning model that could model the electric signals to accurately provide the corresponding real-time force values.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • MakaleYalnız künye2026Scopus SJRQ3
    Energy-based wind vibration control of turbines equipped with nonlinear tuned mass damper inerter considering soil-structure interaction

    Alibabaei Shahraki, Mohammad; Araz, Onur

    This study evaluates the effectiveness of a Nonlinear Tuned Mass Damper Inerter (NTMDI) in mitigating wind-induced vibrations in wind turbines, with explicit consideration of soil–structure interaction (SSI). Kinetic energy is selected as the primary response metric, supported by nacelle displacement, total structural energy, soil energy absorption, acceleration reduction, and residual soil energy to provide a comprehensive assessment. A detailed numerical model is developed in OpenSees, incorporating SSI effects and subjected to turbulent wind loads generated using the Shinozuka method. NTMDI parameters are optimized using the Multi-Objective Cuckoo Search Algorithm (MOCS) to balance kinetic-energy minimization, displacement suppression, and soil-energy management. The results show that NTMDI implementation achieves approximately 45% reduction in total kinetic energy, 20% reduction in nacelle displacement, and 25% reduction in tower acceleration relative to the uncontrolled system. When SSI is considered, the NTMDI further improves performance by reducing soil energy demand by an additional 15–20%, highlighting the importance of absorber–soil coupling. Compared with traditional TMDIs, the NTMDI exhibits superior adaptability and efficiency, particularly for flexible foundations. These findings confirm NTMDIs as an effective passive control strategy for enhancing wind-turbine stability.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    AtıfScopus18WoS18OpenAlex8
    ScopusWeb of Scienceİncele