Bartın Üniversitesi Araştırma ve Akademik Performans Sistemi
DSpace@Bartın, Bartın Üniversitesi’nin bilimsel araştırma ve akademik performansını izleme, analiz etme ve raporlama süreçlerini tek çatı altında buluşturan bütünleşik bilgi sistemidir.
İndekslere Göre Dağılım
Yıllara Göre Dağılım
Türlere Göre Dağılım
Güncel Gönderiler
Öğe Türü: Yayın , Statistical and Ideal Convergence of Double Sequences via B-Summability in 2-Normed Spaces(World Scientific, 2026) Ki̇şi̇, Ömer; Gürdal, Mehmet; Söyler, Kadir; Kişi, Ömer; Fen Fakültesi, Matematik BölümüWe study statistical and ideal convergence of double sequences in 2-normed spaces under non-negative RH-regular matrix families. For a family of averages over adjacent row pairs, we give a necessary and sufficient condition for ideal convergence of the transforms to recover convergence of the original sequence. The condition involves the ideal and the lower level sets of the coefficient that separates the two entries of each pair. It applies to all double sequences. We characterize separately when a finite quantitative bound exists and determine its optimal constant. An explicit two-member family recovers statistical convergence although neither member does so alone and no finite quantitative bound is available. The same family fails to recover Pringsheim convergence. We also prove a general diagonal Tauberian estimate for bounded sequences, separate statistical convergence of transforms from exceptional-set matrix mass, and establish density-one, Cauchy and filter-set results under explicit hypotheses. Double Cesàro examples illustrate the distinctions between the convergence notions.Öğe Türü: Yayın , Post-fire burned forest area mapping with Sentinel-2 imagery: evaluating object-based machine learning models and transferability(Springer Science and Business Media B.V., 2026) Bulut, Fidan Şevval; Türker, Mustafa; Ateşoğlu, Ayhan; Bulut, Fidan Şevval; Ateşoğlu, Ayhan; Orman Fakültesi, Orman Mühendisliği BölümüForest fires pose significant threats to ecosystems and cause irreversible damage, contributing to environmental challenges beyond the burned areas. Timely detection is critical for assessing damage and guiding effective post-fire response. This study aims to identify, and map burned forest areas using uni-temporal Sentinel-2 imagery and to evaluate the spatial and temporal transferability of object-based machine learning models. An object-based classification approach was applied by integrating Object-Based Image Analysis (OBIA) with Random Forest (RF) and Gradient Tree Boosting (GTB) algorithms on the Google Earth Engine (GEE) platform. Additional indices—Mid-Infrared Burn Index (MIRBI), Normalized Burn Ratio 2 (NBR2), Burn Area Index (BAI), and Normalized Difference Vegetation Index (NDVI)—were calculated and included as input bands. Image segmentation was performed using the Simple Non-Iterative Clustering (SNIC) algorithm. The analysis focused on four Mediterranean forest areas in Türkiye, with transferability tested in selected sites in Greece and Spain. RF and GTB models achieved overall accuracies between 93.5 and 97.7% and 92.9–96.8%, respectively. Both models maintained overall accuracies above 83% when transferred to ecologically similar Mediterranean study areas in Greece and Spain. The findings demonstrate the potential of object-based RF and GTB models as transferable tools for burned-forest mapping within comparable Mediterranean environmental conditions.Öğe Türü: Yayın , Plant family identity drives arbuscular mycorrhizal fungal spore abundance and community structure in natural rangelands(Springer Science and Business Media Deutschland GmbH, 2026) Palta, Şahin; Baş, Eren; Yavaşcı, Zekeriya; Palta, Şahin; Baş, Eren; Orman Fakültesi, Orman Mühendisliği BölümüArbuscular mycorrhizal fungi (AMF) are important components of belowground biotic networks, yet variation in AMF spore abundance and community structure among plant families in natural rangelands remains insufficiently understood. This study investigated AMF spore abundance, community composition, and rhizosphere soil properties across five plant families in a natural rangeland in northwestern Türkiye. Variation in soil organic carbon, total nitrogen, available potassium, CaCO₃ content, and AMF spore density was observed among the sampled plant groups. AMF spore density was highest in Asteraceae (609.8 spores 50 g⁻1 soil) and lowest in Urticaceae (77.6 spores 50 g⁻1 soil). Pearson correlation analysis showed a positive association between AMF spore density and soil pH (r = 0.47) and negative associations with electrical conductivity (EC; r = − 0.49), available potassium (K; r = − 0.44), and total nitrogen (N; r = − 0.40). Acaulospora tuberculata, Claroideoglomus etunicatum, Funneliformis geosporum, Glomus sp., and Rhizophagus clarus occurred in the rhizosphere soils of all five plant families, indicating broad distribution across the investigated host groups. Species richness was highest in Urticaceae, whereas Shannon diversity and evenness were highest in Lamiaceae; Fabaceae and Asteraceae showed lower diversity values. Jaccard similarity was highest between Fabaceae and Asteraceae. Overall, AMF spore abundance and community patterns varied among the sampled plant groups and were associated with rhizosphere soil conditions in the investigated rangeland.Öğe Türü: Yayın , Physiological and anthropometric characteristics of Croatian national football team players(Asociacion Espanola de Analisis del Rendimiento Deportivo, 2026) Dilek, Ahmet Naci; Jalali, Parham; Mohammadi, Aida; Nobari, Hadi; Preljević, Adem; Bazanov, Boriss; Grle, Ivana; Grle, Maki; Šabić, Ernest; Ćeleš, Naim; Skender, Nijaz; Sporiš, Goran; Prlić, Jerko; Tiric, Dejan; Galic Tiric, Bozenka; Kurtović, Natalija; Antonić, Davorin; Čular, Dražen; Franjko, Ivica; Duroci, Ivan; Ljesević, Davor; Ajman, Hrvoje; Širić, Željko; Fiorentini, Fredi; Kovacevic, Zeljko; Morina, Besnik; Milošević, Milan; Vukicevic, Veljko; Dilek, Ahmet Naci; Spor Bilimleri Fakültesi, Rekreasyon BölümüThe aim of this study was to analyse physiological and anthropometric characteristics of Croatian national football team players, with particular focus on blood lactate concentration, relative oxygen consumption, body height, body mass, body fat percentage, and playing position. The sample consisted of 17 elite football players. Descriptive statistical analysis was performed for all analysed variables. The average blood lactate concentration was 10.46 ± 1.12 mmol/L, while the average relative oxygen consumption was 60.91 ± 3.15 mL/kg/min. The players demonstrated highly developed aerobic and anaerobic capacities characteristic of elite football populations. Anthropometric and physiological profiles differed according to playing position, reflecting specific tactical and physical demands in modern football.Öğe Türü: Yayın , NOVEL INSIGHTS ON λ-STATISTICALLY CONVERGENT SEQUENCES IN NEUTROSOPHIC n-NORMED LINEAR SPACES(Kangwon Kyungki Mathematical Society, 2026) Hossain, Nesar; Granados, Carlos; Kişi, Ömer; Kişi, Ömer; Fen Fakültesi, Matematik BölümüIn this research paper, we introduce a thorough exploration of λ-statisticaconvergence and develop some of its interesting properties in neutrosophic n-normed linear spaces. Also, we define the notion of λ-statistical Cauchy sequence and prove that every neutrosophic n-normed linear space is λ-statistically complete. Further-more, we study the concept of [V, λ]-summability associated with λ-statistical convergence with regard to neutrosophic n-norm. And we obtain the relation between statistical convergence and λ-statistical convergence within this specific framework.
