Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(82)
- Akkurt, Nevzat(67)
- Güler, Ömer(66)
- Baskonus, Haci Mehmet(62)
- Bulut, Hasan(60)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Yucesan, Melih(43)
- Yildirim, Numan(42)
- Yildirim, Nuran Cikcikoglu(38)
- Paksoy, Mehmet Yavuz(36)
- Serdar, Osman(36)
- Zengin, Gokhan(36)
- Ince, Muharrem(34)
- Celik, Erkan(33)
- Benzer, Fulya(32)
- Kocabaş, Mehmet(30)
- Sulaiman, Tukur Abdulkadir(30)
- Tanyol, Mehtap(29)
- Yildirim, Ozal(28)
- Aslan, Naim(26)
- Kök, Mediha(26)
- Özkul, İskender(26)
- Ates, Mehmet(25)
- Danabas, Durali(25)
- Kutluyer, Filiz(25)
- Can, Erkan(24)
- Kutlu, Banu(23)
- Onat, Onur(23)
- Demir, Veysel(22)
- Erten, Fusun(22)
- Guler, Omer(22)
- Say, Yakup(22)
- Güler, Seval Hale(21)
- Yaman, Mehmet(21)
- Baykal, Duygu Sen(20)
- Sançar, Taylan(20)
- Susam, Selim Orhun(20)
- Cakilcioglu, Ugur(19)
- Orhan, Cemal(19)
Yayınlar
- Derleme MakaleAçık Erişim2025Scopus SJRQ2Ghrelin and LEAP2: Their Interaction Effect on Appetite Regulation and the Alterations in Their Levels Following Bariatric Surgery
Alic, Nese; Ayaz, Aylin
Background and Objectives: Ghrelin plays key roles in appetite regulation, involving both homeostatic and hedonic pathways. In obesity, its metabolism is affected by alterations in neural and hormonal responses. Liver-Enriched Antimicrobial Peptide 2 (LEAP2), recently identified as an endogenous ghrelin receptor antagonist, has emerged as a potential regulator of appetite and energy balance, and bariatric surgery is known to induce changes in this system. In this review, we aimed to evaluate the roles of acyl ghrelin, des-acyl ghrelin, and LEAP2 in food intake regulation and summarize findings on the alterations in their levels after bariatric surgery. Materials and Methods: We conducted a narrative review of human and animal studies published in the literature investigating the roles of acyl ghrelin, des-acyl ghrelin, and LEAP2 in food intake regulation, as well as changes in their levels in obesity and following bariatric surgery. Results: Alterations in the ghrelin system, i.e., the acyl ghrelin and des-acyl ghrelin isoforms and LEAP2, in obesity have been reported. Experimental studies have shown that LEAP2 administration reduces food intake and body weight by suppressing ghrelin-induced food intake. Most studies have found marked reductions in fasting acyl ghrelin after sleeve gastrectomy, more so than after Roux-en-Y gastric bypass. Conclusions: In obesity, altered neural and hormonal responses to food also affect ghrelin metabolism, with significant deviations in acyl ghrelin levels and impaired appetite regulation mechanisms. Unlike ghrelin, LEAP2 levels tend to be elevated in obesity. While changes in acyl ghrelin and des-acyl ghrelin isoforms, particularly after sleeve gastrectomy, are well documented, data on LEAP2 remain limited. Further research is needed to better define the role of LEAP2 in ghrelin-mediated food intake and its potential as a therapeutic target in obesity.
AtıfScopus6WoS5OpenAlex7
İncele - MakaleAçık Erişim2025Scopus SJRQ2A New, Robust, Adaptive, Versatile, and Scalable Abandoned Object Detection Approach Based on DeepSORT Dynamic Prompts, and Customized LLM for Smart Video Surveillance
Yilmazer, Merve; Karakose, Mehmet
Video cameras are one of the important elements in ensuring security in public areas. Videos inspected by expert personnel using traditional methods may have a high error rate and take a long time to complete. In this study, a new deep learning-based method is proposed for the detection of abandoned objects, such as bags, suitcases, and suitcases left unsupervised in public areas. Transfer learning-based keyframe detection was first performed to remove unnecessary and repetitive frames from the ABODA dataset. Then, human and object classes were detected using the weights of the YOLOv8l model, which has a fast and effective object detection feature. Abandoned object detection is achieved by tracking classes in consecutive frames with the DeepSORT algorithm and measuring the distance between them. In addition, the location information of the human and object classes in the frames was analyzed by a large language model supported by prompt engineering. Thus, an explanation output regarding the location, size, and estimation rate of the object and human classes was created for the authorities. It is observed that the proposed model produces promising results comparable to the state-of-the-art methods for suspicious object detection from videos with success metrics of 97.9% precision, 97.0% recall, and 97.4% f1-score.
AtıfScopus5WoS2OpenAlex8İncele - MakaleYalnız künye2025Scopus SJRQ1AI-enabled human capital management (HCM) software adoption using full consistency method (FUCOM): evidence from banking industry
Yadav, Rama Shankar; Kaya, Sema Kayapinar; Pant, Abhay; Tiwari, Anurag
Purpose: Artificial intelligence (AI)-based human capital management (HCM) software solutions represent a potentially effective way to leverage and streamline a bank’s human resources. However, despite the attractiveness of AI-based HCM solutions to improve banks’ effectiveness, to the best of the authors’ knowledge, there are no current studies that identify critical success factors (CSFs) for adopting AI-based HCM in the banking sector. This study aims to fill this gap by investigating CSFs for adopting AI-based HCM software solutions in the banking sector. Design/methodology/approach: Full consistency method methodology and technology–organization–environment, economic and human framework are used for categorizing and ranking CSFs. Findings: The study identifies the technological and environmental dimensions as the most and least important dimensions for AI-based HCM adoption in banks. Among specific CSFs, compatible technology facilities, sufficient privacy and security and relative advantages of technology over competing technologies were identified as the most important. Implementation of AI-based HCM solutions requires significant outlays of resources, both human and financial, for banks. Originality/value: The study provides bank administrators a set of objective parameters and criterion to evaluate the feasibility of adopting a particular AI-based HCM solution in banks.
AtıfScopus9WoS7OpenAlex17İncele - MakaleAçık Erişim2025Scopus SJRQ4The Effects of Mandala on the Hope Levels of Women Diagnosed with Gynecologic Cancers: A Randomized-Controlled Study; [Jinekolojik Kanserli Kadınlarda Mandala Aktivitesinin Umut Düzeyine Etkisi: Randomize Kontrollü Çalışma]
Beydağ, Kerime Derya; Dal, Nursel Alp
Gynecologic cancers, which are a highly stressful and negative experience that affects womanhood, fertility, and the sex life of a woman, also cause multiple negative effects on women’s health. This study was conducted to determine the effects of mandala practice on the hope levels of women diagnosed with gynaecological cancers. This randomized controlled trial was conducted between March 1 and September 1, 2021, and involved 90 inpatients in the oncology department of a private hospital in western Turkey. The study included patients diagnosed with gynaecological cancer who could read and write Turkish and had a diagnosis period of at least three months. The data were collected using the Personal Information Form and the Herth Hope Index. In the analysis of the data, the t-test for independent groups was used for numbers, percentages, means, standard deviations, and comparisons between groups. There was no significant difference between the pretest Herth Hope Index (HHI) scores of the patients in the intervention and control groups (p>0.05). In contrast, the posttest scores of the intervention group were significantly higher than those of the control group. While the HHI scores of the intervention group significantly increased from the pretest to the posttest, the control group scores significantly decreased from the pretest to the posttest (p<0.05). In this study, mandala activity was found to be effective in increasing the hope levels of women diagnosed with gynecological cancers.
- MakaleYalnız künye2025Scopus SJRQ1Dunite powder as a green precursor in one-part alkali-activated composites: Effects on mechanical and durability properties
Benli, Ahmet; Bayraktar, Oğuzhan Yavuz; Karataş, Mehmet; Bodur, Burak; Yılmazoğlu, Mehmet Uğur; Kaplan, Gökhan
Natural pozzolans are a sustainable alternative to Portland cement, offering abundant alumina and reactive silica for geopolymer production. Due to their simple extraction methods, they are cost-effective and environmentally friendly. This study explores the utilization of dunite powder (DP) as a sustainable precursor in one-part alkali-activated slag-based composites (AAC), aiming to evaluate its potential to partially replace granulated blast furnace slag (GBFS). The mechanical, fresh, and durability properties of the composites were investigated by varying DP replacement levels (0%, 15%, 30%, and 60%) under an activator dosage of sodium metasilicate, with the mixtures cured at 80 °C for 24 h and subsequently exposed to ambient conditions. The compressive and flexural strengths were evaluated at 7, 28, and 91 days, while the fresh properties (flowability and setting time), durability under sulfate attack, high-temperature resistance, freeze-thaw resistance, dry shrinkage, sorptivity and microstructural characteristics (SEM, XRD, and FT-IR) were also examined. The compressive strength decreased with higher DP content, with the 60% DP mixture showing a 43% strength reduction at 28 days compared to the reference mixture. However, the 30% DP mixture achieved a favorable balance between strength and sustainability, demonstrating a compressive strength decrease of only 11% at 91 days. The mixture containing 15% DP demonstrated the best performance under high-temperature conditions and freeze-thaw cycles. The 60% DP mixture exhibited the highest mass and strength loss when exposed to temperatures above 400 °C and a 15% compressive strength reduction after 120 days of immersion in a 10% MgSO4 solution.
AtıfScopus29OpenAlex22İncele - MakaleYalnız künye2025Scopus SJRQ2Ampelographic and population structure analysis of grape accessions under eastern anatolia conditions-Türkiye (Tunceli), assessed by SSR markers
Karaca Sanyürek, Nesrin; Söylemezoğlu, Gökhan; Yüksel Özmen, Canan; Ergül, Ali; Ovayurt, Çağrı
Türkiye, which holds an important agricultural spot in the world with its ecological conditions for the cultivation of numerous plant species, has a highly rich genetic potential in terms of the genetic resource diversity of grapes. The Tunceli province, located in the Eastern Anatolia region, is a Turkish region with a harsh terrain structure. This study aims to perform the genetic characterisation and identification of the grape accessions within the Tunceli province, which are not included in the national collection vineyard and are at risk of extinction. In this study, ampelographic characterisation was conducted using a set of 78 descriptors (Vitis species) established by the OIV (Organisation Internationale de la Vigne et du vin) and a Principal Component Analysis was performed. A total of 54 grape samples, consisting of 52 indigenous (from six different regions/populations), 2 reference samples, 1 identical, 1 synonymous, and 4 homonymous cases, were identified using 6 SSR markers. In the structure analysis, it was observed that there was significant gene flow among the Tunceli region populations. Moreover, through the Bayesian analysis, it was determined that the Tunceli region populations (except for the reference population) had a high degree of admixture. In the FCA analysis (with the reference population), it was found that the Akpazar population in particular and, partially, the Mazgirt population, exhibited distinctions. However, genetic distance data also confirmed the distance of the Akpazar population from others. In the RPPs clustering analyses, while the entire population was distributed across 4 different RPPs, 39 accessions (72%) were assigned to one of the RPPs with a membership probability greater than 80%.
- Derleme MakaleYalnız künye2025Scopus SJRQ1A short review of structural, mechanical and magnetic properties of high and medium entropy alloys added rare earth elements
Yayla, Nihal; Güler, Ömer
This study presents a comprehensive review of the structural, mechanical and magnetic properties of high and medium entropy alloys (HEA and MEA) with rare earth elements (REE) additions. The addition of REE has been shown to have significant effects on phase transformations, microstructural arrangements and thermodynamic stability. Studies in the literature show that REE addition improves properties such as hardness, strength, deformation resistance and magnetic performance. In particular, changes such as transitions from FCC to HCP, formation of intermetallic phases and grain refinement have been observed in phase types with the addition of elements such as Gd, Y and Nd. REE added HEAs offer great potential for modern engineering and advanced technology applications with their superior magnetic moments, magnetocaloric effects and thermal stability. However, there is limited information in the literature on REE added HEAs. This review aims to provide a comprehensive framework for the development of REE added HEAs and to serve as an important reference point for future research.
AtıfScopus7WoS7OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ2Investigation of anticorrosive and antibacterial properties of electrochemically modified AISI430 steel surfaces; [Elektrokimyasal yöntem ile modifiye edilmiş AISI430 çelik yüzeylerin antikorozif ve antibakteriyel özelliklerinin incelenmesi]
Açar, Gülistan; Cihangir, Salih; Omaç, Basri; Aydoğdu, Hacı Mehmet; Oflaz, Mücahit
Both pharmacological and material-based approaches aim to slow bacterial evolution toward resistance. In this context, imparting specific antibacterial properties to materials is essential. Traditionally, alloying was a method to equip entire metals with antibacterial features, such as incorporating small amounts of copper (Cu) and/or silver (Ag). However, due to the high cost and inherent limitations of alloying, surface modification processes have gained prominence. Recent antibacterial studies on copper have led to the application of Cu(Ag) electrochemical coatings on AISI430 steel surfaces. This study aims to combine copper’s antibacterial properties with enhanced corrosion resistance and surface hardness. The coatings were deposited using deep eutectic solvents, known for their environmentally friendly properties, followed by potentiodynamic analysis. Microstructural and phase distribution characteristics were examined through SEM-EDS analysis, while surface roughness was analyzed using profilometry. Transitioning from micro-disc electrodes to macro-scale AISI430 substrates, Cu(Ag) films containing 16% Ag demonstrated nanoscale roughness, approximately double the hardness, and superior corrosion resistance compared to conventional copper surfaces. Antibacterial tests compared the coated surfaces with untreated AISI430 steel. Results showed that Cu(Ag)-coated surfaces exhibited improved antibacterial properties. This study shows how Cu(Ag) electrochemical coatings can be used to make surfaces that are antibacterial, long-lasting, and resistant to corrosion.
- MakaleAçık Erişim2025Scopus SJRQ2A New Hybrid ConvViT Model for Dangerous Farm Insect Detection
Utku, Anil; Kaya, Mahmut; Canbay, Yavuz
This study proposes a novel hybrid convolution and vision transformer model (ConvViT) designed to detect harmful insect species that adversely affect agricultural production and play a critical role in global food security. By utilizing a dataset comprising images of 15 distinct insect species, the suggested approach combines the strengths of traditional convolutional neural networks (CNNs) with vision transformer (ViT) architectures. This integration aims to capture local-level morphological features effectively while analyzing global spatial relationships more comprehensively. While the CNN structure excels at discerning fine morphological details of insects, the ViT’s self-attention mechanism enables a holistic evaluation of their overall configurations. Several data preprocessing steps were implemented to enhance the model’s performance, including data augmentation techniques and strategies to ensure class balance. In addition, hyperparameter optimization contributed to more stable and robust model training. Experimental results indicate that the ConvViT model outperforms commonly used benchmark architectures such as EfficientNetB0, DenseNet201, ResNet-50, VGG-16, and standalone ViT, achieving a classification accuracy of 93.61%. This hybrid approach improves accuracy and strengthens generalization capabilities, delivering steady performance during training and testing phases, thereby increasing its reliability for field applications. The findings highlight that the ConvViT model achieves high efficiency in pest detection by integrating local and global feature learning. Consequently, this scalable artificial intelligence solution can support sustainable agricultural practices by enabling the early and accurate identification of pests and reducing the need for intensive pesticide use.
AtıfScopus9WoS5OpenAlex11İncele - MakaleAçık Erişim2025Scopus SJRQ3Experimental and Theoretical Study on the Freshwater Productivity of a Single-Slope Solar Still
Tuğan, Volkan; Işık, Erdem; İnallı, Mustafa
Converting saline water into freshwater using renewable energy resources is crucial to address global shortages of freshwater. This study aims to investigate the freshwater productivity of a single-slope solar still (SSS) operating with solar energy, one of the renewable energy sources. The main motivation of this study is to evaluate the experimental, theoretical, and economic performance of the solar still under climate conditions that have not been sufficiently studied before. Experimental analyses were conducted under the climatic conditions of Tunceli, a city located in the Eastern Anatolia Region of Türkiye. In addition, a comprehensive theoretical analysis was carried out using energy equations, and the experimental and theoretical results were compared with each other. Finally, the economic feasibility of the system was evaluated through a cost analysis. The SSS's experimental and theoretical productivity were found to be 1883.9 and 2458.7 g/m2/day, respectively. The experimental thermal efficiency for this still was 15.1%, whereas the theoretical thermal efficiency was 19.7%. It was concluded that the theoretical productivity and efficiency values were close to the experimental values and the difference between them originated from the assumptions of theoretical calculations. The cost of water distilled by the single-slope solar distillation unit was found to be $0.077/kg, and the payback period was found to be 9 months.
AtıfScopus2WoS3OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1A new lightweight convolutional neural network model for detecting drivable road regions
Doğan, Gürkan; Uyanık, Hakan; Ergen, Burhan
Nowadays, due to the rapid increase in the number of autonomous vehicles on the market, the safe navigation of these vehicles in drivable road areas has become extremely important. One of the most crucial factors in ensuring safe navigation is addressing the detection of drivable road areas as a task of semantic segmentation. Considering that autonomous vehicles are modular, the algorithm to perform this task must have the optimum trade-off in terms of lightweight, computational complexity, and segmentation accuracy. In this study, RoNet, a new model based on convolutional neural networks that provides an optimum trade-off for the detection of drivable road regions, was designed and proposed. The standard convolution types for the encoder and decoder bottleneck module of the RoNet model, as well as the spatial edge attention mechanism, have been optimized by developing asymmetric convolution types using asymmetric atrous convolution, asymmetric convolution types using Prewitt and Sobel kernels. Spatial edge attention mechanism is designed to reduce the loss of detailed information in small-resolution feature maps. In experimental tests performed with CamVid and FUVid datasets, RoNet achieved a better trade-off in terms of segmentation accuracy, number of parameters, and computational complexity compared to other state-of-the-art methods.
AtıfScopus3WoS3OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ3Three Remarkable Moss Species New to Türkiye and Southwest Asia; [Trois espèces remarquables de mousses inédites en Turquie et en Asie du Sud-Ouest]
Erata, Hüseyin; Batan, Nevzat; Alataş, Mevlüt; Ezer, Tülay
Iwatsukiella leucotricha (Mitt.) Buck & Crum., Andreaea alpestris (Thed.) Schimp., and Andreaea mutabilis Hook.f. & Wilson are newly recorded in Türkiye and Southwest Asia, following a recent bryological survey in the Artvin region. Additionally, the genus Iwatsukiella W.R.Buck & H.A.Crum. has been introduced as a new record for Türkiye's bryophyte flora. This study provides brief descriptions, illustrations, and data on the geographic distribution and ecological preferences of these species, along with comparisons to morphologically similar species.
AtıfOpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ1Improvement of mechanical, dynamic mechanical, and thermal properties of almond shell powder reinforced acrylonitrile butadiene styrene composites by addition of cerium oxide
Doğan, Akar; Güneş, Çağdaş
Currently, natural materials are gradually replacing synthetic materials in polymer composites due to factors including cost-effectiveness, sustainability, and the availability of raw materials. This study examined the variations in thermal, mechanical, and dynamic mechanical properties of acrylonitrile butadiene styrene (ABS) thermoplastic composite materials incorporating varying ratios of almond shell powder (ASP) and Cerium Oxide (CeO2). Tensile tests, three-point bending tests, dynamic mechanical analyses, and thermogravimetric analyses were conducted. Scanning electron microscopy (SEM) and energy-dispersive spectroscopy (EDS) analyses were employed to assess pure ABS and nine distinct composite materials. The tensile strength, elastic modulus, and three-point bending strength of the composite material exhibited increases of 6%, 7%, and 7.5%, respectively, compared to pure ABS, with various ratios of almond shell powder and CeO2 reinforcement. Moreover, composite materials exhibit elevated glass-transition temperatures and storage moduli compared to pure ABS. Microstructure images obtained through SEM and EDS element mapping illustrate the distribution of ASP and CeO2 in ABS, influencing its mechanical and thermal properties. Highlights: Almond shell powder and cerium oxide were used as filler materials in ABS. Mechanical, morphological, and dynamic mechanical properties were investigated. Almond shell powder enhanced the mechanical properties of the ABS composite. Low cerium oxide supplementation improved the mechanical properties.
AtıfScopus4WoS4OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ1Momordica charantia L. Extract as a Potential Inhibitor of Heterocyclic Aromatic Amine Formation in Pan-fried Meatballs
Gumus, Damla; Macit, Arife; Guzel, Bengu; Tengilimoglu-Metin, M. Merve; Kizil, Mevlude
The primary objective of this study was to examine the effect of Momordica charantia L. extract (MCE) on the generation of heterocyclic aromatic amines (HAAs) in meatball samples. Meatballs were prepared with varying usage rates of MCE (0%, 0.5%, and 1%) and pan-fried at 150 °C, 200 °C, and 250 °C for a total cooking duration of 10 min. The samples were analyzed for proximate composition, pH, cooking loss, and HAA levels. Results indicated that increased cooking temperatures led to higher total HAAs, with specific types and quantities of HAAs varying according to both cooking temperature and MCE concentration. The total HAA content in the meatball samples ranged from 0.81 ng/g and 10.75 ng/g. Specifically, the total HAAs were 1.29 ± 0.38 ng/g, 3.40 ± 1.52 ng/g, and 7.60 ± 2.48 ng/g in meatballs cooked at 150 °C, 200 °C, and 250 °C, respectively (p < 0.05). The addition of MCE at different concentrations reduced the generation of total HAAs, with 0.5% MCE showing the highest inhibitory effect, reducing total HAAs by 30.8%. These findings underscore the significance of considering cooking conditions, including temperature and usage rate, when incorporating antioxidant compounds into meat products.
AtıfScopus2WoS2OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ1Investigating forest fire causes through an integrated Bayesian network and geographic information system approach
Konurhan, Zekeriya; Yucesan, Melih; Gul, Muhammet
Forests are among the most critical natural resources worldwide and are essential for a sustainable ecosystem. In recent years, climate change and human activities have increased their impact on forests, and forest fires-especially in summer- have caused significant forest losses globally. This paper integrates Bayesian Network (BN) and Geographic Information Systems (GIS) to pinpoint the possible causes of forest fires and analyze their complex interactions. The study used data from 1465 fires between 2017 and 2022 in Muğla province in southwestern Türkiye. Within the scope of the study, 11 variables were chosen, such as elevation, slope, aspect, wind speed, population density, and road network, to build a BN model that combines physical and human geographical features. These variables overlapped using the pairwise intersect tool from ArcGIS Pro during the BN model setup, and probability values were calculated. The overall probability of fire in the BN model was determined to be 0.81, with probabilities ranging from 0.81 to 0.56 in low-altitude, moderately sloped, and south-facing areas. Scenario analyses examined fire risk under different conditions, highlighting the most influential variables for fire prevention efforts. The study identified fire-prone areas as spatial data, revealing that densely forested coastal and certain inland regions are at higher risk, whereas bare high-altitude areas with steep slopes pose lower risk. The BN model can be further enhanced by incorporating additional variables, making it a valuable tool for future fire risk assessment and mitigation strategies research.
AtıfScopus5WoS5OpenAlex7İncele - MakaleYalnız künye2025Scopus SJRQ1Aerodynamic characteristics of a symmetrical airfoil in the presence of segmentally distributed leading-edge tubercles
Seyhan, Mehmet; Demirci, Veysel; Çolak, Aleyna; Kan, Furkan Erman; Firat, Erhan; Sarioglu, Mustafa
In recent decades, experimental and numerical studies have demonstrated that wings with leading-edge (LE) tubercles exhibit advantageous aerodynamic performance at high attack angles compared to their unmodified counterparts. A substantial portion of these studies employed a single sinusoidal function to design the tubercles applied along the entire span. In this study, two functions were utilized to design tubercles. This experimental study was conducted to evaluate the effects of segmentally distributed (i.e., equally spaced) LE tubercles on the aerodynamic characteristics (ACs) of the National Advisory Committee for Aeronautics (NACA) 0018 airfoils and to associate them with the flow patterns observed on the suction surface. To this end, five different airfoil models have been produced and tested. The models consist of one plain airfoil, one fully tubercled airfoil, and three segmentally tubercled airfoils. The test results were obtained at Reynolds numbers (Re) of 0.6 × 10 5 to 1.2 × 10 5 . It has been determined that the distance between neighboring tubercled segments possesses a critical value with regard to performance enhancements in the post-stall regime. In the range below this critical distance, the tubercled segments lack the capacity to reattach the separated flow from the plain segments of the airfoil. Furthermore, the presence of a novel vortical structure (i.e., single rotating vortex cell, SRVC) under certain conditions was demonstrated qualitatively.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1Site Fidelity, Home Range Size and Movement Patterns of a Mega-Fish, Luciobarbus esocinus, in Keban Reservoir, Euphrates River
Alp, Ahmet; Akyüz, Adil; Gündüz, Fatih; Demirol, Ferhat; Çoban, Mehmet Zülfü; Yüksel, Fahrettin; Yerli, Sedat Vahdet
Luciobarbus esocinus (mangar), a critically endangered mega-fish species (≤ 140 kg) endemic to the Euphrates and Tigris river systems, faces severe threats due to habitat fragmentation. To assess its spatial ecology in the Keban Reservoir, 30 individuals were acoustically tagged and monitored for 218–437 days using 18 receivers deployed in the reservoir. The tagged fish exhibited low site fidelity, with station residency indices (RI) ranging from 0.00 to 0.46 and detection periods lasting 59–153 days. Depth and temperature data (115,318 and 112,789 records, respectively) revealed seasonal habitat shifts: individuals occupied deeper waters in winter (mean 10.1 m), shallower depths in spring (4.4 m) and summer (3.8 m), and tolerated temperatures of 7.4°C–28.4°C. Although depth use was weakly correlated with temperature, trends indicated shallower occupancy during warmer periods. Home range analyses showed a maximum linear home range (LHR) of 36.5 km and the areal home range estimated via minimum convex polygon (MCP) was 6422.8 ha. In addition, kernel density (KD) analysis revealed the 95% KD area was 2877.0 ha, the 75% KD area was 67.7 ha and the 50% KD area was 33.8 ha. Seasonal migrations spanned 25–30 km upstream/downstream from release sites, particularly toward tributaries in spring. Around the Keban Reservoir, 14 hydroelectric power plants (HPPs) present and most of these HPP are not designed suitable fish passages. Urgent conservation measures are needed, including Fish Conservation Zones in critical habitats and connectivity restoration via functional fishways, to safeguard this imperilled species in fragmented river-reservoir ecosystems.
- MakaleYalnız künye2025Scopus SJRQ2Removal of Impurities from Sepiolite by Gravity/Sizing Methods for Better Viscosity Development
Angur, G. Ersever; Çınar, M.; Çelik, M.S.
Sepiolite, a natural strategic clay mineral within the phyllosilicate group, is utilized in numerous applications because of its physical, and rheological properties. In particular, outstanding rheological properties are utilized in areas including drilling mud, paint, cosmetics, adhesives, etc. Several studies have been performed for the purification of clays, such as air classification, calcination, hydrocyclone, and flotation, for different purposes. In this study, relatively easy physical upgrading methods involving hydroxyclone, Falcon, and shaking table have been tested with the aim of obtaining a high-viscosity sepiolite product for rheological applications. It is shown that dispersion time, particle size, and pH are the most critical parameters in the viscosity development of sepiolite. The results indicate that, depending on the dispersion time of the raw HS1 sepiolite sample used in this study, the highest quality rheological material remains in the size range of – 2 mm to + 1 mm. Below – 0.1 mm, the viscosity value of the sepiolite sample decreased to its lowest value of 6000 cP. The pH-dependent viscosity measurements of a raw HS1 sepiolite sample exhibited the highest viscosity value of 13,000 cP at its natural pH of 8.5. Polyacrylic acid sodium salt (PAA) is the most effective dispersing agent in the decantation process for the enrichment of HS1 sepiolite samples. Among the three gravity/sizing beneficiation techniques tested, the middlings product of the shaking table achieved the highest quality sepiolite product of 17,000 cP with 49.2 wt.% using the size range of – 2.83 mm to + 1 mm; this material is suitable for high-grade rheological applications.
- MakaleAçık Erişim2025Scopus SJRQ3The effect of addition of powder jujube (Ziziphus jujuba Mill.) fruit at different rates into mixed diets on antioxidant and some blood parameters of broiler chickens*
Arslan, S.; Parlak Ak, T.; Guler Ekmen, E.; Karakoc, Ş.; Ciftci, M.
This study was conducted to determine the effects of addition of jujube (Ziziphus jujuba Mill.) fruit at different rates into the mixed feed on intestinal morphology, antioxidant and some blood parameters of broiler chickens. A total of 160 male broiler (initial body weights were determined as 209.25±2.17, 209.18±2.13, 209.18±1.74 and 209.20±2.58, respectively) chickens (Ross-308), including 40 in each group, were used in the study. The groups were divided into 4 sub-groups, each of which include 10 broiler chickens. The study groups were the control group (the group without jujube fruit), the H-0.5% group (the group with 0.5% jujube fruit), the H-1 group (the group with 1% jujube fruit), and the H-2 group (the group with 2% jujube fruit). At the end of the experiment (42nd day), the control group had the highest levels of blood glucose, triglycerides, total cholesterol, very low density lipoprotein cholesterol, alanine aminotransferase, aspartate aminotransferase, and uric acid, and the lowest level of creatine (P<0.05). While the lowest malondialdehyde level was detected in the H-2 group (P<0.001), the highest glutathione peroxidase (P<0.01) and catalase (P<0.05) levels were observed in the H-1 and H-2 groups. The control group also had the lowest values for villus height and crypt depth and the highest values for villus height/crypt depth (P<0.001). As a result, it was concluded that jujube fruit, which is mainly used for its antioxidant properties, can be used in poultry compound feeds especially at the level of 1% due to its positive effects on antioxidant and blood parameters and intestinal morphology.
- MakaleAçık Erişim2025Scopus SJRQ3Identification and Quantification of Fatty Acid Profile of Muscle and Gametes in Threatened Abant Trout (Salmo abanticus) from Wild
Özçiçek, Esin; Kocabaş, Filiz Kutluyer; Kocabaş, Mehmet; Yilmaz, Ökkeş
Abstract: As an important challenge restricting hatchery production, gamete quality and subsequent larvae and juvenile are influenced by broodstock nutritional status (i.e., protein, essential amino acids, fatty acid profile and minerals). Hence, the fatty acid (FA) profiles of muscle and gametes in threatened Abant trout (Salmo abanticus) from wild was elucidated and quantitated using the gas chromatography. Our results indicated that the saturated fatty acids (SFAs) in muscle and sperm (38.00 and 60.98%) of S. abanticus occurred in higher quantities than unsaturated fatty acids. The egg of S. abanticus in the wild is characterized by high (mostly n-6 HUFA, 33.59%). Tricosanoic acid (C23:0) and docosahexaenoic acid (DHA, C22:6 n-3) were not determined in sperm of S. abanticus. Overall, the current study provides FA composition in the reproduction cells and muscle of mature S. abanticus and the gametes and muscle had similar general FA profiles with the dominance of C18:1 n-9 (Oleic acid), C16:0 (Palmitic acid), C4:0 (Butyric acid), C18:2 n-6 (Linoleic acid, LA) and C20:5 n-3 (Eicosapentaenoic acid, EPA).
