Osmaniye Korkut Ata University Academic Repository
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Türkçe İçyerleşik Konumlanış Kurulumlarındaki Arama Alanlarının Biçimbilimsel Yapılanması
No full textThis investigation examines the structural mechanisms governing spatial encoding in Turkish nested locative constructions within Langacker’s Cognitive Grammar theoretical framework. The morphological system manifests implicit cognitive operations through the complex interplay of case morphemes, relativization structures, and possessive markers. This analysis comprehensively demonstrates how Turkish grammar instantiates multiple search domains, specificity predication, and reference point chaining while preserving conceptual accessibility. Complex nested constructions exhibit systematic processing frameworks that facilitate both hierarchical and sequential interpretation of spatial relationships. Contrastive analysis with English prepositional patterns comprehensively reveals divergent grammatical mechanisms achieving equivalent communicative functions. The findings significantly deepen the theoretical understanding of the interface between grammatical structuring and spatial conceptualization, demonstrating how morphological transparency renders visible cognitive operations that remain implicit in other linguistic systems. This research contributes insights to the literature by providing a detailed explication of how grammatical systems organize spatial complexity through various structural mechanisms while maintaining cognitive accessibility. © 2025 Dilbilim Derneği, Ankara
Evaluation of Learned Resourcefulness and Marital Adjustment in Individuals With and Without Disabilities
No full textThis study aimed to evaluate learned resourcefulness and marital adjustment in visually impaired and non-visually impaired married individuals. A total of 112 participants took part in the study. Findings revealed a positive correlation between learned resourcefulness and marital adjustment, with visually impaired individuals scoring significantly higher than their non-visually impaired counterparts. Based on these results, it is recommended that family therapists and health professionals integrate learned resourcefulness-based strategies to support visually impaired individuals in overcoming relationship challenges
Power plant simulation: a case study on the solar potential of the faculty of engineering, Osmaniye Korkut Ata University
No full textBu çalışmada, Osmaniye Korkut Ata Üniversitesi Mühendislik Fakültesi binası çatısına tek yüzlü ve çift yüzlü fotovoltaik sistemler ile kurulabilecek Güneş Enerji Santralinin karşılaştırmalı analizi gerçekleştirilmiştir. Çalışma kapsamında, PVsyst simülasyon yazılımı kullanılarak tek yüzlü ve çift yüzlü Fotovoltaik (PV) panellerinin performansları değerlendirilmiş ve karşılaştırmalı analizleri yapılmıştır. Sonuçlar, çift yüzlü sistemin yıllık bazda %5,6 daha fazla enerji üretimi sağladığını (1337,5 MWh'e karşı 1266,3 MWh) ve daha yüksek performans oranına sahip olduğunu (0,848'e karşı 0,803) göstermiştir. Çift yüzlü sistem, arka yüzey kazanımları sayesinde net %7,7'lik bir ışınım artışı elde etmiştir. Çift yüzlü sistemin sağladığı üretim avantajı mevsimsel değişim göstermekte olup, ilkbahar ve yaz aylarında (%5,3-7,1) kış aylarına (%2,6-4,4) göre daha belirgindir. Basit ekonomik değerlendirmeye göre, tek yüzlü sistem daha düşük maliyetli bir seçenek olarak öne çıkmaktadır. Çevresel etki açısından, sistem ömrü boyunca tek yüzlü sistem 18.500 ton, çift yüzlü sistem ise 19.600 ton CO2 emisyonunu önleme potansiyeline sahip olduğu belirlenmiştir. Sonuçlar, çift yüzlü PV sistemlerinin yüksek güneş radyasyonuna sahip Osmaniye koşullarında, yenilenebilir enerji kaynaklarının daha verimli ve çevre dostu bir alternatif sunduğunu göstermektedir.In this study, a comparative analysis of the Solar Power Plant that can be installed on the roof of the Faculty of Engineering building of Osmaniye Korkut Ata University with monofacial and bifacial photovoltaic systems was carried out. Within the scope of the study, the performances of monofacial and bifacial photovoltaic (PV) panels were evaluated and comparative analyses were performed using PVsyst simulation software. The results showed that the double-sided system provides 5.6% more energy production on an annual basis (1337.5 MWh versus 1266.3 MWh) and has a higher performance ratio (0.848 versus 0.803). The bifacial system achieved a net radiation increase of 7.7% thanks to the rear surface gains. The production advantage provided by the bifacial system varies seasonally and is more pronounced in spring and summer (5.3-7.1%) than in winter (2.6-4.4%). According to a simple economic assessment, the monofacial system stands out as a lower-cost option. In terms of environmental impact, it has been determined that the monofacial system has the potential to prevent 18,500 tons of CO2 emissions during the lifetime of the system, and the bifacial system has the potential to prevent 19,600 tons of CO2 emissions. The results show that bifacial PV systems offer a more efficient and environmentally friendly alternative to renewable energy sources in Osmaniye conditions with high solar radiation
How perceived social media influences consumers' WOM on social media: The moderating impact of fear of negative evaluation
No full textThis research examines how perceived social media agility (PSMA) influences social media word-of-mouth (SMWOM), both straightly and indirectly through perceived brand fairness. It also examines whether fear of negative evaluation (FNE) negatively moderates the positive effects of PSMA and brand fairness on SMWOM. Two online between-subjects experiments were conducted to test the research hypotheses using PROCESS Models 4 and 15. The results indicate that PSMA positively influences SMWOM, both directly and indirectly through brand fairness. Furthermore, the positive impact of PSMA on SMWOM is stronger for consumers with high FNE than for those with lower FNE. Interestingly, as FNE increases, the effect of brand fairness perception on SMWOM decreases, up to a certain threshold
Antibacterial and Antioxidant Activities of Fomitopsis betulinaExtracts
No full textBackground: The Birch polypore fungus (Fomitopsis betulina), a well-known brown-rot macromycete parasitizing Betula spp., is recognized as a medicinal mushroom due to its antimicrobial, antiviral, antioxidant, anti-inflammatory, anticancer, and other bioactivities. Recently, mushrooms have been explored as potential therapeutic agents in veterinary medicine and livestock farming, suggesting that F. betulina could contribute significantly to these fields. Objective: This study aimed to evaluate the antibacterial and antioxidant activities, as well as the phenolic compounds content, in ethyl acetate extracts of 22 F. betulina strains. Methods: The agar well diffusion method was used to assess antibacterial activity. Antioxidant activity and total phenolic content (TPC) were measured spectrophotometrically using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay and the Folin-Ciocalteu method, respectively. Results: All 22 F. betulina strains exhibited antibacterial and antioxidant activities, as well as phenolic compound content, with variations attributed to strain-specific characteristics. The fungal extracts demonstrated susceptibility against Bacillus subtilis, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Staphylococcus aureus. Zones of bacterial growth inhibition ranged from 8.0±0.0 mm to 22.5±0.5 mm. The free radical scavenging activity varied from 7.74±2.40% to 96.66±0.40%. TPC ranged from 0.01±0.00 to 8.57±0.18 mg GAE/g of dry sample. Conclusion: Ethyl acetate extracts derived primarily from the mycelia of F. betulina strains were identified as particularly beneficial, with strains F. betulina 2777 and 2778 emerging as promising biotechnological producers. F. betulina mycelium has a wide potential for human use, including as feed additives for livestock and the development of veterinary therapies. © 2025 The Author(s). Published by Bentham Open.National Academy of Sciences of Ukraine, NASU, (0121U108000, 0124U002425)National Academy of Sciences of Ukraine, NAS
Geographical variation in antioxidant, anticancer and anticholinesterase activities and phenolic contents of Visnaga daucoides
No full textVisnaga daucoides (Desf.) Celak. (Apiaceae) is a plant known for its medicinal properties, but its phenolic content and biological activities remain underexplored, especially in relation to samples from different geographical regions. Exploring how environmental conditions may influence the plant's bioactive profile can provide valuable insights for its potential medicinal use. This study investigates the phenolic profile, antioxidant, anticholinesterase, and antiproliferative activities of V. daucoides collected from Iraq and T & uuml;rkiye. In this study, the phenolic composition of Visnaga daucoides was determined by LC-MS/MS analysis. Antioxidant status was evaluated using TAS, TOS and OSI analyses, while antiproliferative activity was evaluated by MTT method on A549 lung cancer cells. Anticholinesterase activity was measured using Ellman method and antimicrobial activity was tested using agar dilution analysis. LC-MS/MS analysis revealed significant phenolic compounds, including acetohydroxamic acid, kaempferol, quercetin, gallic acid, and resveratrol, with geographical differences observed between the two regions. The plant exhibited potent antioxidant activity, as demonstrated by variations in total antioxidant status (TAS), total oxidant status (TOS), and oxidative stress index (OSI), which were determined using Rel Assay diagnostic kits. Furthermore, V. daucoides displayed notable antiproliferative effects, particularly against A549 lung cancer cells, and strong anticholinesterase activity, with inhibition of both acetylcholinesterase (AChE) and butyrylcholinesterase (BChE). These findings suggest that V. daucoides is a promising source of bioactive compounds with potential applications in cancer therapy, neuroprotection, and oxidative stress management. The study also emphasizes the influence of environmental factors on the chemical composition and biological activities of the plant, warranting further investigation into its pharmacological potential for therapeutic use
X2AlH7 (X: Ca, Sr, Ba) hydrides as next-generation hydrogen storage materials: A comprehensive first principles study on structural, mechanical, optical, electronic and thermophysical properties
No full textThis study presents a comprehensive first-principles investigation of the structural, mechanical, electronic, thermophysical, and optical properties of monoclinic X2AlH7 (X = Ca, Sr, Ba) hydrides for hydrogen storage applications, using density functional theory as implemented in the CASTEP code. All compounds exhibit strong thermodynamic stability, supported by negative formation enthalpies (Delta Hf =-0.354 to-0.462 eV/atom) and positive cohesive energies. Mechanical stability is confirmed by satisfying the Born-Huang criteria. Among the studied hydrides, Sr2AlH7 possesses the highest hardness (3.46 GPa), whereas Ca2AlH7 displays superior ductility (B/G = 2.12), indicating favorable mechanical flexibility. Electronic structure analyses reveal that all compounds are insulators, with band gaps ranging from 2.89 to 3.17 eV. Phonon dispersion calculations show no imaginary frequencies, confirming their dynamic stability. Thermophysical results yield Debye temperatures of 491.60 K (Ca), 397.66 K (Sr), and 308.64 K (Ba), which align with their predicted thermal conductivities. Optical analyses demonstrate strong ultraviolet absorption and tunable dielectric responses, with static refractive indices varying between 1.71 (Ba) and 1.84 (Ca). Notably, Ca2AlH7 stands out due to its excellent hydrogen storage characteristics, including a gravimetric capacity of 6.18 wt%, a volumetric density of 112.56 gH2/L, and a low hydrogen desorption temperature of 261.35 K meeting the U.S. Department of Energy (DOE) targets. These findings highlight X2AlH7 hydrides, particularly Ca2AlH7, as promising multifunctional materials for next-generation hydrogen storage and optoelectronic applications
Flexible and wearable energy technologies: A lithium-ion battery perspective
No full textThe rapid growth of wearable technologies, such as smartwatches, fitness trackers, and medical sensors, has heightened the demand for efficient, compact, and sustainable energy storage solutions. Lithium-ion batteries (LIBs), favored for their high energy density, lightweight design, and adaptability, have emerged as the primary power source for these devices. The evolution of wearable electronics particularly necessitates advancements in flexible LIBs, which provide mechanical adaptability without compromising electrochemical performance. This study reviews structural innovations, material improvements, and integration techniques of flexible LIBs, focusing on their potential in next-generation wearable applications. It critically evaluates key challenges, including mechanical durability, electrolyte stability, and enhanced energy density, alongside recent breakthroughs in nanostructured electrodes, solid-state electrolytes, and fiber-based designs. In addition, this paper investigates advancements in energy harvesting technologies (EHTs), such as piezoelectric, triboelectric, solar and thermoelectric systems, which can supplement LIBs by converting human movement and environmental energy into electrical power. Recent innovations in battery materials, particularly silicon-based anodes and solidstate electrolytes, are also examined to highlight improvements in efficiency, flexibility, and safety. The findings emphasize that future developments in flexible LIB technology must prioritize safety, scalability, and sustainability to facilitate broad adoption in biomedical, consumer, and military fields
Structural, elastic, optic, electronic, phonon, thermodynamic, and hydrogen storage properties of bialkali alanates M2LiAlH6 (M = Na, K)
No full textIn this study, the structural, elastic, optical, electronic, phonon, thermodynamic, and hydrogen storage properties of bialkali alanates M2LiAlH6 (M = Na, K) were systematically investigated using density functional theory (DFT). The compounds crystallize in a cubic structure and exhibit mechanical and thermodynamic stability, as evidenced by their negative formation enthalpies and positive cohesive energies. Elastic constant calculations revealed that both materials are mechanically stable yet brittle. Optical analyses indicated strong absorption and reflectivity in the ultraviolet region, while electronic band structure results showed that the materials are widebandgap semiconductors with direct transitions. Phonon dispersion confirmed the dynamic stability of K2LiAlH6, while Na2LiAlH6 exhibited imaginary frequencies indicating instability. Thermodynamic properties, including Debye temperature, melting point, and minimum thermal conductivity, support the suitability of these compounds for thermal applications. Furthermore, Na2LiAlH6 demonstrated a higher hydrogen storage capacity, both gravimetric (3.42 wt%) and volumetric (100.63 gH2L-1), meeting the U.S. Department of Energy's volumetric target for 2025.Kirsehir Ahi Evran University [TBY.A1.24.001]This study was supported by the Kirsehir Ahi Evran University under Scientific Research Project No: TBY.A1.24.001
Advanced machine learning algorithms for reactive power forecasting in electric distribution systems
No full textDue to the rising penetration of distributed generators into the current microgrids, reactive power management has become a crucial concern in terms of voltage stability and resilience of smart grids. In this regard, reactive power forecasting (RPF) is an essential tool for maintaining the reactive power management and planning of active electric distribution systems in which power flow is bidirectional. Machine learning (ML)-based algorithms are frequently applied to electric load forecasting owing to the fact that these methods achieve more accurate results in the short-term horizon. RPF is one of the challenging implementations of electric load forecasting and it can be characterised as a nonlinear problem with a variety of explanatory variables such as active and lagging reactive power values. In this paper, a real-time short-term RPF using ML-based algorithms including long short-term memory (LSTM) networks, random forest (RF), and extreme gradient boosted decision trees (XGBoost) were employed for an electric distribution system located in the North of England, UK. The study also incorporated convolutional neural network (CNN), gated recurrent unit (GRU) networks, and light gradient boosting machine (LightGBM) for benchmarking with the main selected methods. The experimental results demonstrated that LightGBM outperformed other models by achieving the highest accuracy with an R2 of 95.37% and the lowest root mean squared scaled error (RMSSE) of 0.541 while maintaining the shortest computation time of 0.396 s. These findings highlighted the potential of ML-based RPF techniques for improving voltage stability, optimising reactive power compensation, and enhancing energy efficiency in modern smart grids. To the best of our knowledge, there is a lack in the current literature for real-time applications of RPF and this paper is considered to fill this deficiency to create a path for aspiring researchers in the field. © 2025 The Author