Ejons International Journal on Mathematic, Engineering and Natural Sciences

Multicolor Photometric Analysis of the Eclipsing Binary Star V1817 Aql

Derya SÜRGİT, Kubat KAYA, Emre TUNÇ, Furkan GÜNER — Mon, 01 Sep 2025 00:00:00 +0300

In this study, the analysis of the BVR multi-color photometric observation data of the V1817 Aql is presented. The photometric observation of the system were obtained during the 2024 observing season at the Çanakkale Onsekiz Mart University Astrophysics Research Center and Ulupınar Observatory using a MEADE LX200 model 30 cm Cassegrain-Schmidt telescope equipped with an SBIG STL-1001E CCD camera and BVR filters. The BVR light curves of the system were analyzed using the Wilson-Devinney code. The photometric mass ratio of V1817 Aql was determined to be 0.323±0.006. Accordingly, the mass and radius values of the components of the V1817 Aql binary system were derived to be M₁=1.58±0.16 M_ʘ, R₁=1.47±0.12 R_ʘve M₂=0.46±0.10 M_ʘ, R₂=1.27±0.26 R_ʘ and the evolutionary status of the components has been discussed.

Evaluation of Public Spaces in the Context of Architectural Psychology: Beşiktaş - Ortaköy Axis

Aysin AYSU — Mon, 01 Sep 2025 00:00:00 +0300

Space and individual are in a process cycle that affects each other. While spatial comfort conditions are physical and measurable conditions such as thermal, lighting, sound, smell, which are related to the function of the space; psychological comfort conditions, which can be described with words such as privacy, belonging, peace, happiness, security, status and socialisation, should be solved at an optimal level for a physical environment. In this context, since public spaces are places that allow an individual to perform an action, it is expected to provide physical and psychological comfort conditions. This study aims to evaluate the effects of physical building elements in public spaces on individuals. The main goal of the case analysis in the study is to determine which emotions the architectural elements that make up the physical environment reveal in the users. The study covers Çırağan Street, which connects Beşiktaş and Ortaköy neighbourhoods on the European side of Istanbul. The act of walking on the axis on the street and the psychological feelings created by the buildings and architectural elements on the axis were evaluated. As a result of the study, it was determined that the physical environment creates some emotional states on the individual.

Effect of Iron Content and Sintering Temperature on Microstructure and Hardness of Al-Fe Alloys

Said ERAY — Mon, 01 Sep 2025 00:00:00 +0300

In this study, the effects of iron content and sintering temperature on the microstructure and hardness of Al-Fe-based alloys were investigated. Samples were produced via the powder metallurgy method and sintered at 610 °C and 640 °C. Scanning electron microscopy (SEM) and Brinell hardness tests were conducted for characterization. Microstructural analyses revealed that some iron particles remained unreacted at 610 °C, while at 640 °C, the formation and homogenization of Al₃Fe intermetallic phases were more evident. The hardness results showed that both increasing Fe content and higher sintering temperature contributed to improved Brinell hardness. These findings suggest that optimizing the sintering temperature and alloy composition can significantly enhance the mechanical performance of Al-Fe alloys.

Evaluation of Paleoenvironmental Conditions Using Petrographic Data in Şarkikaraağaç (Isparta) Coals

Neslihan ÜNAL KARTAL, Orhan ÖZÇELİK — Mon, 01 Sep 2025 00:00:00 +0300

In this study, the maceral composition and depositional environment of the Şarkikaraağaç coal seam were examined in detail. The results show that huminite is the most abundant maceral group in the coal samples, ranging from 25% to 75%. This is followed by liptinite (1–36%) and inertinite (4–15%). Notably high mineral matter content and abundant framboidal pyrite are among the features that stand out. The relatively low and uniform huminite reflectance values across the basin indicate a consistent and homogeneous coalification process. Based on the maceral distribution and ternary diagram evaluations, it is inferred that the coals predominantly formed in shallow, alkaline, and anoxic wetland environments, specifically of limnic to limnotelmatic character. According to the petrographic composition of the Şarkikaraağaç coals, the coal seams were formed mostly under stagnant water conditions, with the dominant plant input being herbaceous and limited contributions from woody plants.

Effect of Smoke Solution Doses on the Germination Performance of Radish Seeds Under Salt Stress

Burak AKTAŞ, Gökçe AYDÖNER ÇOBAN — Mon, 01 Sep 2025 00:00:00 +0300

This study aimed to evaluate the effects of different smoke solution doses (0%, 0.1%, 0.5%, and 1%) derived from hazelnut husk on the germination performance and oxidative stress response of two radish (Raphanus sativus L.) cultivars under salinity stress (150 mM NaCl). Morphological parameters (root and shoot length, fresh weight, germination percentage, and vigor index) and malondialdehyde (MDA) levels were assessed. The results showed that salt stress markedly increased MDA content, indicating enhanced oxidative damage in both cultivars. However, low smoke solution doses, particularly in the 2nd trial 0.1%, alleviated oxidative stress and improved germination traits in Ateş, while the 0.5% dose promoted root growth and vigor in Akkaya. The findings indicated that salinity stress increased MDA content, reflecting oxidative damage, and negatively affected germination in radish, with cultivar-specific responses. Moreover, smoke solution treatments exhibited dose- and cultivar-dependent effects, some of which may enhance germination performance, while others may induce inhibitory responses in certain physiological parameters.

Evaluation of Sugar Beet (Beta vulgaris L.) Genotypes in Terms of Morphological and Quality Traits

Betül YÜCEL, Tolga KARAKÖY — Mon, 22 Sep 2025 00:00:00 +0300

In this study, 187 sugar beet (Beta vulgaris L.) genotypes obtained from the United States Department of Agriculture (USDA) gene bank and five commercial cultivars (Serenada, Varias, Evelina, Jaguar, Balaban) were evaluated in terms of morphological and quality traits. Agronomic characters such as root-shoot yield, sugar content, leaf yield, and sugar yield were examined, and the data were analyzed using coefficients of variation and principal component analysis (PCA). The results revealed significant morphological and quality differences among the genotypes. According to PCA, the first four principal components explained 100% of the total variation, with the first three components accounting for 78.55% of the genetic diversity. The first component reflected the relationship between sugar content and root yield, the second explained the contrast between leaf yield and sugar yield, while the third highlighted differences between total yield and sugar content. Furthermore, dendrogram analysis demonstrated that commercial cultivars and USDA genotypes clustered separately, indicating a broad genetic diversity. The findings emphasize the critical role of parent selection in sugar beet breeding. Particularly, high-sugar cultivars such as Serenada and Varias, when crossed with high root or leaf yield cultivars such as Balaban and Jaguar, may generate superior combinations through heterosis, enhancing both yield and quality. Moreover, USDA genotypes, which clustered distantly from commercial varieties, were identified as a valuable source of genetic variation. In conclusion, this study revealed a substantial genetic diversity in yield and quality parameters among sugar beet genotypes, highlighting their potential use in breeding programs aimed at developing new cultivars with higher industrial efficiency and superior morphological traits.

Enhancing Efficiency and Creativity in Interior Design Through Diffusion Models

Alia RAHMOUN, Afra Nur BOZKURT — Mon, 29 Sep 2025 00:00:00 +0300

Interior design often faces challenges related to time-consuming processes and limited creative flexibility. Recently, text-based artificial intelligence models have introduced new possibilities for faster, more diverse, and aesthetically rich design generation. This study investigates the performance of diffusion based models, specifically MidJourney, ChatGPT DALL·E, and FLUX.1 Kontext, in interior design visualization and compares them with a traditional rendering tool. Using identical textual prompts, images were generated across all platforms and evaluated based on aesthetic coherence, compositional quality, and alignment with the input descriptions. The findings highlight MidJourney as the most effective tool for transforming conceptual design ideas into visually compelling outputs. It demonstrated clear strengths in capturing stylistic nuance, atmospheric consistency, and visual appeal, making it especially valuable in early stage design workflows such as ideation and client presentations. The results indicate that text to image generation technologies like MidJourney can serve as powerful tools that enhance creativity and streamline communication in interior design. This study contributes to the growing body of research on AI assisted design by demonstrating how generative models can support innovation and efficiency in visual representation practices.

Epidemiological Investigation on Aino Virus and Abortions in Cattle and Small Ruminants in Türkiye

Murat ŞEVİK — Tue, 30 Sep 2025 00:00:00 +0300

Due to climate change, different arboviral infections have begun to appear in Türkiye as well as all over the world. Aino virus (AINOV) is a vector-borne agent that is known to cause abortion in cattle and small ruminants. But there is no information about the role of the AINOV in abortion cases in farm animals in Türkiye. Therefore, the aim of this study was to investigate the presence of AINOV in bovine, ovine, and caprine foetuses. A total of 277 bovine foetuses, 823 ovine foetuses, and 75 caprine foetuses from different herds and flocks in the Aegean, Mediterranean, and Central Anatolian regions of Türkiye were analysed from 2014 to 2017. Molecular diagnosis was performed using a one-step real-time reverse transcription polymerase chain reaction (RT-PCR). AINOV was not detected in any of the foetal tissue samples. Despite this study being the fist long-term study to examine the role of AINOV in abortions in small ruminants and cattle, the results of the study are restricted to only three regions of Türkiye. The absence of AINOV detection in this study does not mean there is no circulation in Türkiye; it could be because of methodological limitations or the regions being studied. Türkiye has seven different geographical regions, and climate conditions vary in these geographical regions. The distribution area of potential vectors is influenced by climatic conditions. Therefore, conducting studies is crucial to figure out the role of AINOV in abortion cases of small ruminants and cattle in other regions of the country.