Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kaygusuz, Abdullah(35)
- Sipahi, Ferkan(35)
- Karsli, Orhan(34)
- Dokuz, Abdurrahman(30)
- Duran, Celal(30)
- Kandemir, Raif(29)
- Ozdes, Duygu(28)
- Maden, Nafiz(27)
- Uzun, Sevda(27)
- Merdan, Mehmet(26)
- Vural, Alaaddin(26)
- Öztürk, Serkan(25)
- Araz, Onur(24)
- Kulakaç, Nurşen(24)
- Ashyralyyev, Charyyar(23)
- Yildiz, Salih(23)
- Yilmaz, Ozgur(23)
- Doğan, Kadir Caner(21)
- Arslan, Mehmet(20)
- Aydin, Faruk(20)
- Doğru, Bülent(20)
- Bayraktar, Alemdar(19)
- Kankal, Murat(19)
- Ayaydin, Hasan(18)
- Baltaci, Cemalettin(18)
- Yolcu, Halil(18)
- Cakir, Tufan(17)
- Cengiz, Ekrem(17)
- Demir, Selim(17)
- Gücer, Mehmet Ali(17)
- Akaryali, Enver(16)
- Artan, Seyfettin(16)
- Hayaloğlu, Pınar(16)
- Kaya, Afşin Ahmet(16)
- Tosunoğlu, Büşra(16)
- Uysal, Ibrahim(16)
- Kurt, Kemal(15)
- Ozturk, Samet(15)
- Reis, Hatice Catal(15)
- Aksakal, Vecihi(14)
Yayınlar
- MakaleYalnız künye2026A comprehensive optimization framework for indoor laser-based optical wireless communication using gimbal-steered transmitters
Başer, Oğuzhan; Küçük, Mehmet Ali; Türk, Kadir
The growing demand for high-speed wireless communication, driven by data-intensive applications such as high-definition video streaming and augmented reality, has highlighted the limitations of the Radio Frequency (RF) spectrum. Optical Wireless Communication (OWC) has emerged as a promising complementary technology, offering wide bandwidth, license-free operation, high security, and immunity to electromagnetic interference. Among OWC transmitters, Laser Diodes (LDs) provide high modulation bandwidth and narrow divergence angles, enabling data rates of several tens of gigabits per second. However, the narrow beam of LDs requires precise Line-of-Sight (LoS) alignment, making beam steering essential. This study focuses on optimizing the positioning and orientation of gimbal- or galvo-based LD transmitters in indoor OWC systems to minimize outage probability under LoS constraints and physical obstructions. An outage probability model considering room geometry and device field-of-view angles is developed and analyzed for three scenarios within a 7 × 5 m room: an empty environment, a room with a 1 × 1 m column, and a user-occupancy-aware environment. The complex optimization problem is solved using multiple meta-heuristic algorithms, including Particle Swarm Optimization (PSO), L-SHADE, and Stochastic Fractal Search with Fitness-Distance Balance (FDB-SFS). The obtained results are subsequently validated through grid search approach. The proposed approach achieves significant outage reduction, demonstrating that incorporating obstacle and user-distribution information enables efficient coverage with fewer terminals, reaching outage probabilities as low as 0.4%.
- MakaleYalnız künye2026Effects of a puppet-assisted house-tree-person test on fear and anxiety in children receiving chemotherapy and associated influencing factors: A projective, quasi-experimental study
KAHRIMAN, Ilknur; AKSOY, Bahar; KANDAZ, Ufuk; BORAN, Serpil; GÖGER, Berrin; KIRBAŞ, Zila Özlem
Objectives This study investigated the effect of the puppet-assisted House-Tree-Person Test (HTP-T) on fear and anxiety levels in children undergoing chemotherapy treatment and the factors influencing these outcomes. Methods The study employed a one-group pretest–posttest quasi-experimental design combined with HTP-T analysis. The study was conducted with 29 children aged 5–12 years receiving chemotherapy at the pediatric hematology-oncology outpatient clinics of a university hospital in the Eastern Black Sea Region of Türkiye during the 2022–2024 years. Data were collected using “the Demographic Information Form for Children and Parents, the Children's State Anxiety Scale (CSA), the Children's Fear Scale (CFS), and HTP-T". Data analysis was performed using descriptive statistics, repeated measures ANOVA, and HTP-T analysis. Results Statistically significant differences were observed in children's mean CSA (F = 3.898, p = 0.026, η2 = 0.122) and CFS (F = 5.313, p = 0.008, η2 = 0.159) scores across the pre-treatment, during-treatment, and post-treatment measurements. The HTP-T analysis revealed that children had difficulty regulating anxiety and fear, expressed concerns about family and environmental events, reported feelings of loneliness, and exhibited strong emotional attachment to their families. Conclusion The study demonstrated that incorporating puppet-assisted HTP-T during chemotherapy contributed to reducing children's fear and anxiety and offered a useful approach for identifying influencing factors. Implications for nursing practice HTP-T, a therapeutic play technique incorporating puppetry and projective methods, may be effective in reducing fear and anxiety among children undergoing chemotherapy.
- MakaleYalnız künye2026Aged people with chronic diseases dying: An investigation of metaphorical perceptions and cognitive structure; [Sterbende ältere Menschen mit chronischen Erkrankungen: Eine Untersuchung metaphorischer Wahrnehmungen und kognitiver Strukturen]
Demir Çam, Sevgi; Uzun, Sevda; Aydin, Esra; Altindaş, Sueda
Purpose: This study was designed to examine the metaphorical perceptions and cognitive structures of aged individuals with chronic diseases towards death. Methods: The research was conducted as a qualitative study based on metaphor analysis. Data were collected using a semi-structured interview form that investigated the metaphorical perceptions of 15 individuals with chronic diseases towards death and a form that was asked to be explained with drawing technique. In the semi-structured interview form “Death is like … because …”, metaphor expression was included, and in the other part “Describe your thoughts about death with drawings”, the form containing the expression was used. The data were analyzed using the content analysis technique. The study was conducted and reported according to the COREQ checklist. Results: It was determined that the old individuals with chronic diseases who participated in the study produced 4 metaphors with the writing technique and 4 metaphors with the drawing technique. As metaphors, the themes of end of life and a new beginning, extinction and feeling of emptiness, journey of life, salvation and reunion were determined. Conclusion: As a result of the study, it was determined that old individuals with chronic diseases had anxiety about death. In addition, it was determined that old individuals had negative and positive cognitive schemas about death. In this context, old individuals with chronic diseases may need psychosocial support systems.
- Derleme MakaleYalnız künye2026Marine microsporidia: Hidden diversity, aquatic emergence and zoonotic risks
Bekircan, Çağrı; Kurnaz, Muammer
Marine Microsporidia represent an increasingly important but historically underestimated group of aquatic intracellular parasites. Although traditionally associated with invertebrates and fishes, recent molecular and environmental studies have revealed extensive hidden diversity across marine ecosystems together with unexpected phylogenetic links between aquatic and human-associated lineages. This review synthesizes five decades of research (1975–2025) concerning the biology, evolution, taxonomy, host–pathogen interactions, ecological diversity, and zoonotic significance of marine Microsporidia. Particular emphasis is placed on members of the Enterocytozoonidae, including Enterocytozoon hepatopenaei, Nucleospora spp., and Desmozoon lepeophtherii, which represent major threats to aquaculture sustainability and may contribute to cross-environmental transmission pathways. Environmental DNA studies further indicate that marine microsporidian diversity is substantially underestimated by morphology-based approaches. However, current evidence for zoonotic transmission remains largely indirect, resting chiefly on phylogenetic relatedness, shared genotypes across hosts and environmental (eDNA) detection; direct, seafood-borne human infection has not yet been demonstrated. Current evidence suggests that aquaculture intensification, climate-driven environmental change, and expanding seafood trade may facilitate the emergence and dissemination of zoonotic microsporidian lineages. Integrating marine Microsporidia into One Health surveillance frameworks is therefore increasingly important for both ecosystem and public health management.
- MakaleYalnız künye2026Identification of patulin-producing Penicillium isolates from decayed apples, their patulin production profiles, and the feasibility of high-purity patulin preparation
Dağ, Murat; Bozbeyoğlu, Pınar; Gül, Abdulkadir; Karpuz, Ömer; Baltacı, Cemalettin
This study presents a combined evaluation of patulin contamination by integrating fungal identification, assessment of toxin production, and the feasibility of obtaining high-purity patulin from biological sources. Fungal isolates recovered from naturally decayed apples collected from different agricultural environments in Türkiye were identified using MALDI-TOF MS and morphological characteristics, and were assigned to Penicillium expansum at a probable species level. The patulin production potential of the isolates was evaluated by inoculating them onto red, yellow, and green apple matrices under controlled laboratory conditions over an extended incubation period. Quantitative analysis using HPLC–UV, supported by LC–MS/MS confirmation, revealed substantial variability in patulin levels (7.58–49.80 mg/kg) depending on both isolate and apple matrix. Higher patulin levels were generally observed in yellow apple tissues, whereas lower levels were detected in red apples, suggesting a possible influence of matrix-related compositional factors. In addition, patulin was isolated and enriched using column chromatography with TLC-guided fractionation, yielding a high-purity compound (98.8%) with low moisture content (0.21%). Structural identity was confirmed by LC–MS/MS analysis. Overall, the findings indicate that patulin production is influenced by strain-level variability and matrix-related factors. Furthermore, the study demonstrates the feasibility of producing high-purity patulin suitable for in-house analytical applications. However, the produced material should not be considered a certified reference material, and further validation would be required for broader analytical use.
- MakaleYalnız künye2026Crustal structure and major tectonic features of the South Caspian Basin: Insight from Bouguer gravity data
Kadirov, Fakhraddin; Maden, Nafiz; Safarov, Rafig; Gahramanov, Murad
The South Caspian Basin is characterized by high tectonic activity, which resulted in the presence of significant hydrocarbon resources that are currently being exploited. This has led to a surge in research efforts, as the basin's substantial hydrocarbon reserves, coupled with its complex tectonic history, attract considerable scientific interest. This research study aims to contribute to our understanding of the crustal structure of the South Caspian Basin. To achieve this objective, we employed geophysical techniques, with a primary focus on analyzing Bouguer gravity data, power spectrum analysis, and edge detection methods. This comprehensive approach, integrating diverse methodologies, provided substantial advancements in our understanding of the basin's geological framework, with valuable insights into the tectonic processes operating in the region. In the Absheron-Prebalkhan zone, the Moho depth was constrained to an estimated 42 km. The investigation further reveals a constriction of the area towards the east, reaching a depth of 36 km near Prebalkhan and a final depth of 39 km within Prebalkhan itself. The total horizontal gradient technique and the logistic filter were implemented on the gravity data of the study region to figure out faults, geological boundaries, and structural lineaments within the South Caspian Basin.
- MakaleYalnız künye2026Entropy-based VIKOR and TOPSIS approaches for financial performance ranking: evidence from Turkish cement companies listed on Borsa Istanbul
Ayaydın, Hasan; Shırzadı, Said Abdullah; Balıkçı, Hasan Celal; Sharabati, Abdel-Aziz Ahmad; Barut, Abdulkadir
Assessing the financial performance of an enterprise is crucial for demonstrating the effectiveness of the management team, influencing investor decision-making regarding stocks, and meeting the expectations of lending institutions. Cement companies prioritise strengthening their capital structures to better withstand economic shocks. Additionally, these companies aim to use their resources more efficiently to reduce costs, increase sales, boost profits, and achieve faster growth. Accurate evaluations of the financial performance of cement companies are crucial for both the global economic landscape and their impact on the local economy. Consequently, financial performance evaluation models are essential for these companies to enhance their long-term financial results. However, to date, there appears to be no existing model that suggests periodic monitoring of the financial performance of cement companies based on their financial ratios. The current study seeks to analyze the TOPSIS and VIKOR multi-criteria decision-making methods, utilizing an entropy approach among publicly traded cement sector companies based on BIST, data between 2018 and 2020. The objective is to disclose the results of these companies and rank them based on key criteria. Additionally, a comparative analysis was conducted using the VIKOR method. The results indicated that the rankings produced by the TOPSIS and VIKOR methods were similar for 2020 and 2021, though they differed slightly in 2022 and 2023. Generally, BSOKE, KONYA, and BTCIM ranked as the top three companies in both methods, while CIMSA, BASCM, and CMENT ranked the lowest. Furthermore, companies such as AKCNS, CMENT, BUCIM, GOLTS, and NUHCM showed fluctuations in their performance. The study discusses managerial implications and provides recommendations for stakeholders.
- MakaleYalnız künye2026Knowledge-awareness paradox in sustainable consumption: Attitudes and intentions toward green restaurants
Genç, Gökhan; Kızılcık, Onur; Akyürek, Suat
This study examines the effects of general environmental awareness and knowledge on patronage intention and intention to pay more, mediated by green restaurant attitude. Data were collected from 327 participants via a survey method and analyzed using partial least squares structural equation modeling (PLS-SEM), demonstrating robust measurement reliability and validity. The findings indicate that environmental awareness (value-based commitment) has a significantly stronger influence on the formation of green restaurant attitude than cognitive knowledge. Green restaurant attitude accounted for a substantial portion of the variance in patronage intention and emerged as its strongest positive predictor. This confirms that a positive attitude is a fundamental antecedent of restaurant choice. However, while the impact of positive attitude on willingness to pay more was significant, it was notably weaker than other observed relationships. This suggests that the willingness to incur additional costs for green products depends on factors extending beyond attitude alone. Furthermore, green restaurant attitude functions as a full mediator between the external variables (awareness and knowledge) and patronage intention. Consequently, green restaurants should focus marketing strategies on environmental awareness to build positive attitudes, while addressing additional factors, such as perceived value, to justify pricing policies.
- MakaleYalnız künye2026Topo-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.
- MakaleYalnız künye2026Machine 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.
- MakaleYalnız künye2026Multi-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.
- MakaleYalnız künye2026Exposure 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.
- MakaleYalnız künye2026Cenozoic 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.
- MakaleYalnız künye2026Covalent 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.
- MakaleYalnız künye2026Quality 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.
- MakaleYalnız künye2026Economic 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 künye2026Very 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.
- MakaleYalnız künye2026Quantile-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.
- MakaleYalnız künye2026Electromechanical 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.
- MakaleYalnız künye2026Energy-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.