Artvin Çoruh Üniversitesi Kurumsal Akademik Arşivi
DSpace@Artvin, Artvin Çoruh Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Effects of artificial weathering resistance on the hardness value of ash wood surfaces coated with polyurethane modified water-based varnish after heat treatment
(Lukasiewicz Research Network - Poznan Institute of Technology, 2026) Akter, Mete; Ulay, Göksel; Peker, Hüseyin; Çakıcıer, Nevzat; Atılgan, Abdi; Ayata, Ümit
Pendulum hardness test is important for determining the mechanical durability and long-term performance of the film layer formed on the surface of wood thermally treated at high temperatures and coated with water-based varnish (WBV). In this study, the effect of artificial weathering conditions on the pendulum hardness (König method) of ash (Fraxinus angustifolia Vahl.) wood samples varnished with polyurethane modified WBV was investigated. The samples were thermally treated under two conditions (190°C for 1.5 h and 212°C for 2 h) and compared with untreated control samples. The samples were exposed to artificial weathering conditions (for periods of 0, 168, 336 and 504 h). Pendulum hardness values were measured at the end of each weathering period. According to the results, increases in hardness values were observed in both heat-treated and untreated ash wood samples treated with varnish after weathering. In the varnished samples treated at 212°C for 2 h, the post-weathering hardness increases were lower compared to the samples treated at 190°C for 1.5 h and the control group. Additionally, analysis of variance for the pendulum hardness test, heat treatment, weathering time and their interaction were determined to be statistically significant. The significant increases in hardness values observed in the unweathered samples highlight the importance of the wood, varnish, and weathering process.
Mechanical Properties of Red Pine (Pinus brutia Ten.) depending on Bay Leaf (Laurus nobilis L.) Extract Treatment Level and Time
(North Carolina State University, 2026) Ulusoy, Hatice; Peker, Hüseyin; Kızılca, Veysi
The rapid depletion of forest and water resources, drought, climate change, and the significant loss of freshwater resources, along with fires and wars, necessitate the creation of healthy materials and a hygienic structure, as well as the optimal use of wood. This study used various processes to obtain extracts from laurel leaf waste, which is known for its antioxidant/antibacterial properties. Subsequently, solutions of various concentrations (1%, 3%, and 5%) were prepared and the wood was impregnated using the immersion method (short, medium, and long-term). Tests were then conducted to determine the retention, specific density, bending strength, modulus of elasticity, compressive strength, and dynamic bending. The highest retention was determined at a 5% concentration for 6 h (2.50%), the highest air-dry specific density was determined at 5% for 6 h (0.68 g/cm³), and the highest bending strength was determined at 5% for 6 h (143 N/mm²). The extract prepared from ecological bay leaf plant waste with water creates a partially hygienic (antioxidant/antibacterial) framework for organic wood, benefiting human and environmental health.
Analysis of the Iipact of blue stain on the color, glossiness, and whiteness properties of scots pine lumber
(Lukasiewicz Research Network - Poznan Institute of Technology, 2026) Ayata, Ümit; Peker, Hüseyin; Ulay, Göksel; Çamlıbel, Osman; Atılgan, Abdi
It is known that blue stain causes a loss of price value for Scots pine wood in the wood trade due to the visual defects it creates. In this study, color parameters [red color tone (a*), lightness (L*) value, yellow (b*) color tone, tone angle (h°) value, and chroma (C*) value], whiteness index (WI*) values, and glossiness measurements [at angles of 20°, 60°, and 85°] were compared in Scots pine (Pinus sylvestris L.) wood with normal and blue rot conditions. According to the color parameters obtained, it was determined that the L* value decreased by 11.43%, a* by 79.95%, b* by 28.86%, and C* by 32.75%, while the h° value increased by 17.74%. With the blue coloration, decreases were observed in the 20° glossiness values measured in the ⃦ and ⊥ directions, while increases were observed in the 60° and 85° glossiness values measured in the ⃦ and ⊥ directions. With the blue coloration, decreases of 12.86% in the ⊥ direction and 29.87% in the ⃦ direction in the WI* values were observed. According to these results, it was determined that the wood material with the blue coloration disease had a darker color.
Associations between crowded loneliness, difficulties in emotion regulation, and individual–social responsibility
(Cogent OA, 2026) Karayaman, Saffet; Deniz, Ahmet
This study investigates how crowded loneliness influences difficulties in emotion regulation and individual–social responsibility among employees working in non-governmental organizations (NGOs) in Istanbul. Crowded loneliness, which gained national attention after being selected as Türkiye’s Word of the Year in 2024, reflects the growing impact of digital environments that foster superficial connections and deepen emotional isolation. Using a relational survey model, data were collected from 385 NGO employees in 2025. Findings indicate that crowded loneliness is positively associated with both difficulties in emotion regulation and individual–social responsibility, although the relationships are weak in magnitude. Younger participants reported higher levels of crowded loneliness and greater difficulties in emotion regulation. In addition, male participants reported higher levels of difficulties in emotion regulation. Overall, the study shows that crowded loneliness contributes to meaningful yet limited variations in key psychosocial characteristics among NGO employees.
Comparative analysis of material footprints in electricity generation of deep learning-based prediction model and energy development scenarios
(SAGE Publications Inc., 2026) Algorabi, Ömer; Namlı, Ersin; Ünlü, Ramazan; Aktoğ, Mehmet Arif; Kocakaya, Mustafa Nabi; Çelik, Yasin
Escalating global production and consumption are driving rapid growth in energy demand, increasing pressure on finite natural resources. In response, this study proposes a data-driven framework that integrates deep learning-based electricity demand forecasting with economy-wide input–output material footprint analysis to support long-term energy planning and policymaking. The innovative aspect of this framework is its ability to jointly assess future electricity generation and related material requirements within a single analytical structure. A comparative analysis is conducted for Türkiye, Germany, and Spain, evaluating the material footprint of electricity generation across renewable and fossil-based energy sources under business-as-usual (BAU) and alternative energy development scenarios. The forecasting models demonstrate strong predictive performance, achieving Mean Absolute Percentage Error (MAPE) values of 1.39% for Türkiye, 4.39% for Germany, and 3.90% for Spain, significantly outperforming conventional statistical methods. Scenario-based results indicate that sustainability-oriented pathways (ST and GCA) can reduce material requirements by approximately 20–30% compared to the BAU scenario, particularly for metal-intensive inputs such as iron and refined oil. The findings underscore the importance of integrating material footprint considerations into energy transition strategies and provide practical insights for policymakers seeking to balance energy security with resource sustainability. The study highlights the value of integrated analytical approaches in supporting more resilient and resource-efficient energy systems.
