Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Dertli, Enes(117)
- Kaya, Yunus(51)
- Şahin, Engin(48)
- İspirli, Hümeyra(47)
- Özen, Soner(46)
- Şenay, Volkan(45)
- Pat, Suat(44)
- Can, Zehra(39)
- Bayraktar, Bülent(37)
- Bayram, Sinan(37)
- Korkmaz, Şadan(36)
- Cuce, Erdem(35)
- Ecem Bayram, Nesrin(33)
- Kutlu, Naciye(33)
- Yilmaz, Mustafa Tahsin(32)
- Artar, Musa(31)
- Ertugrul, Mehmet(30)
- Öner, Erdal(30)
- Ayata, Ümit(29)
- Hasar, Ugur Cem(29)
- Esmer, Yusuf(28)
- Mercan, Emin(27)
- Cuce, Pinar Mert(26)
- Özdemir, Akın(25)
- Çolak, Murat(24)
- Bayram, Ozkan(23)
- Kamiloğlu, Aybike(23)
- Sert, Durmuş(22)
- Ayazoglu, Rabil(21)
- Abdioglu, Murat(20)
- Bayram, Nesrin Ecem(20)
- Kadakal, Mahir(20)
- Kara, Yakup(20)
- Kizil, Hamit Emre(20)
- Tozlu, Alperen(20)
- Birinci, Ahmet(19)
- Gerçek, Yusuf Can(19)
- Battal, Fetullah(18)
- Dirican, Ebubekir(18)
- Ergün, Mustafa(18)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ1Investigation of notch effect in the optimum weight design of steel truss towers via Particle Swarm Optimization and Firefly Algorithm
Yilmaz, Elif; Artar, Musa; Ergün, Mustafa
In this study, the optimal weight designs of steel truss towers are determined, considering the notch effect. Thus, the impact of discontinuities in the cross-sections of steel elements on the total weight of the structure is revealed. For this purpose, the optimal weight designs of different truss towers analyzed by other researchers in previous years are reexamined using Particle Swarm Optimization and Firefly Algorithm. The main program where finite element analyses and optimization algorithms are encoded has been developed in MATLAB. Displacement, stress, geometric, and section height constraints are used in optimization methods. The effectiveness of these methods has been demonstrated by comparing both the results in the literature and with each other under un-notched conditions. Subsequently, considering the notch effect on the tension bar with the highest stress capacity in each structure, the impact of stress concentration on the minimum weight sizing of the structure is investigated using these proven methods. When the analysis results of both cases are examined, it is observed that the optimum weights of all structures under the notch effect have slightly increased. The stress concentration around the notch severely raises the nominal stress in the cross-section. In this case, the cross-section becomes insufficient due to the overcapacity, requiring larger profiles. The structure’s weight shows an increasing trend depending on the number of notched elements and the severity of stress concentration. Additionally, SAP2000 software is utilized for numerical simulations of the structures under identical conditions, enhancing the research content and providing further support for the comprehensive design optimization analyses. Consequently, minimizing the adverse effects of notches through careful material selection, proper manufacturing and assembly techniques, and regular maintenance is essential. The effects of notches should be considered in structural analysis and design, with measures taken to mitigate these effects when necessary.
AtıfScopus8WoS4OpenAlex8
İncele - Kitap BölümüYalnız künye2025New Evidence on the Relationship between Sustainable Economic Growth, Entrepreneurship, and Innovation
Imamoğlu, Ilyas Kays; Coşkun, Hüseyin
One of the primary goals of economic policies in countries is to achieve sustainable economic growth. The notion that sustainable economic growth can solve fundamental economic issues has given significant importance to concepts related to economic growth. In the economic literature, the discussion on the primary sources of economic growth has gained renewed attention with the contributions of Joseph Alois Schumpeter (1883-1950), an Austrian economist, political scientist, and sociologist. Schumpeter emphasized the role of entrepreneurs in economic development and was the first to argue that entrepreneurs drive innovation. Schumpeter argued that entrepreneurs are the main drivers of economic growth as they introduce their innovations into the production process. Technological progress is achieved through innovation. Although Schumpeter was unable to model his views on entrepreneurship and innovation at the time, his theoretical implications for their interaction have inspired researchers. Entrepreneurs are essential actors that cannot be ignored, both as a first step in organizing basic economic activities and as a key solution to meet economic needs. However, the impact of entrepreneurship on economic growth depends on the generation and implementation of novel ideas. New thoughts and ideas can lead to the discovery of new needs, which in turn can lead to the production of innovative products necessary to meet those needs. As a result, an increase in production can lead to an increase in economic growth. Studies on this subject have concluded that the impact of entrepreneurship and innovation on economic growth depends on the optimal level of development in these areas. Based on this idea, in this study, the relationship between entrepreneurship, innovation, and economic growth has been investigated theoretically and empirically from a current perspective. As a result of the analysis, it was found that entrepreneurship positively affects economic growth, whereas innovation does not have a significant effect on economic growth.
- MakaleAçık Erişim2025Scopus SJRQ1Online Purchasing Model for PwD (People with Disabilities) Consumers: Pre and Post Disability Behaviors
Yilmazel, Sefa Emre
People with Disabilities (PwD) is discussed in the literature as the largest minority in the world. This group generally prefers online shopping instead of store shopping due to the physical difficulties they experience. However, no online shopping model has been developed for this group. Therefore, the aim of this study is to reveal an online purchasing model for PwDs in line with the theory of planned behavior. In this regard, the effects of the variables perceived ease of use, perceived usefulness, peer communication, security concern, privacy concern and physical disabilities on consumers’ purchasing intention and subsequent purchasing behavior through subjective norms, attitude and behavioral control were investigated with pre- and post-disability data. In the study, data was collected from participants before (322) and after (546) disability. As a result of this study, it was revealed that online behavior of consumers before and after the disability differed. Especially peer communication made a significant difference in purchasing behavior after the disability. Consumers became more sensitive about security and privacy in their online shopping after the obstacle. In addition, consumers’ perceived usefulness had a significant effect on their attitudes after the disability. Therefore, as a result of the study, an online shopping model for PwD consumers was created.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Comparative quality assessment of plant-based kefir as a vegan alternative to traditional kefir
Meral-Aktaș, Hacer; Bazu-Çırpıcı, Burcu; Aktaș, Haktan; Kadi̇roğlu, Hafsa; Çeti̇n, Bülent
Plant-based milk is emerging as a promising alternative for vegan and vegetarian diets and for people who are allergic to animal products. In this study, kefir was produced using hazelnut, walnut, and cashew milk, and fermented with a combination of Bifidobacterium longum (human origin) and selected autochthonous microbial strains with probiotic potential found in traditional kefir. Significant variation was identified in the physicochemical, microbiological and sensory analyses of kefir produced with plant-based milk and cow milk kefir as a control. In particular, phenolic compound and total phenolic contents were found to be greater in plant-based kefir than in cow milk kefir. Notably, walnut kefir exhibited the highest total phenolic content at 843 mg GAE/L, compared to 83 mg GAE/L in cow milk kefir, highlighting a significant increase in antioxidant potential. On the other hand, the sensory properties of cow milk kefir were rated higher than those of kefir made with plant-based milk. These findings suggest that plant-based kefir can serve as a vegan beverage alternative, although further development is needed to improve flavour acceptability.
AtıfScopus5WoS5OpenAlex8İncele - MakaleYalnız künye2025Scopus SJRQ1Extraction of Bioactive Compounds from Celery Root Peels Using an Ultrasound-Assisted Method with Choline Chloride–Based Deep Eutectic Solvents
Kamiloğlu, Aybike; Kutlu, Naciye; Elbir Abca, Tuğba; Yılmaz, Özlem
The concepts of sustainable and green technology have come to the forefront due to problems such as increasing environmental pollution, depletion of resources, and uncontrolled increases in industrialization. Green chemistry aims to reduce or completely eliminate pollution in the environment. In this study, both the ultrasonic method, which is a form of green technology, and deep eutectic solvents, which are among green solvents, were used, and a perspective on creating economic value from a waste product (celery root peel) is presented. In this context, phytochemical compounds (total flavonoid content and antioxidant activities) were obtained from celery root peels by ultrasonic-assisted extraction using 10 different choline chloride–based deep eutectic solvents, and the results were compared with methanol, an organic solvent. As a result, according to the total flavonoid content, the most effective deep eutectic solvent was choline chloride to sucrose, while according to the antioxidant activity value, choline chloride to lactic acid was found to be effective. For all of the analyzed bioactive compounds, higher or equal yields were obtained with all deep eutectic solvent extracts compared to methanol, and deep eutectic solvents could be alternatives to organic solvents (such as methanol) that may have toxic effects on humans or the environment.
AtıfScopus9WoS9OpenAlex10İncele - MakaleAçık Erişim2025Scopus SJRQ1Dietary Carvacrol Attenuates Cyclophosphamide-Induced Neurotoxicity: Implications for Food-Derived Neuroprotection and Molecular Mechanisms
Kızıl, Hamit Emre
Carvacrol (CRV) is a phenolic monoterpene abundant in culinary herbs such as oregano and thyme and is well known for its potent antioxidant, anti-inflammatory, and neuroprotective properties. This study investigated the ability of CRV to counteract neurotoxicity induced by cyclophosphamide (CP), a widely used antineoplastic agent. Male Wistar albino rats were divided into five groups and received CP and/or CRV treatments. Neurotoxicity and neuroprotection were evaluated through biochemical assays, real-time PCR, histopathological and immunohistochemical analyses, and behavioral testing (Morris Water Maze). CP administration led to significant increases in oxidative stress markers, disruption of antioxidant enzyme activities, upregulation of inflammatory mediators (NF-κB, TNF-α, iNOS), dysregulation of apoptotic regulators (increased Bax and Casp-3, decreased Bcl-2), alterations in autophagy markers (Beclin-1, LC3A, LC3B), and suppression of Notch1/Hes1 signaling. Histopathological analyses revealed neuronal degeneration, vascular hyperemia, and increased GFAP and 8-OHdG expression in brain tissue. CRV treatment, particularly at higher doses, effectively mitigated these biochemical, molecular, and histological alterations. Notably, CRV administration preserved spatial learning and memory function in CP-treated rats, as demonstrated by the Morris Water Maze test, indicating functional neuroprotection. These findings highlight the multifaceted neuroprotective mechanisms of CRV and suggest its potential as a food-derived bioactive compound for development into functional foods or dietary supplements to improve the quality of life for cancer patients undergoing chemotherapy.
AtıfScopus10WoS9OpenAlex11
İncele - MakaleAçık Erişim2025Scopus SJRQ3The performance of Ag2S/X (X: Co and Ni) nanocrystals as counter electrodes in dye-sensitized solar cells
Ozel, Sultan Suleyman; Bulucu, Esen Dagasan; Sarilmaz, Adem; Ozel, Faruk
In the present study, Silver sulfide (Ag2S)-based nanocrystals (NCs) were synthesized by employing a facile hot injection method. These NCs are utilized as counter electrodes on dye-sensitized solar cells (DSSCs), representing a smart approach that utilizes these NCs as catalysts instead of platinum (Pt) for the first time. The study provides a comparative analysis of the performance of Ag2S-based counter electrodes (CEs) in DSSCs technologies the traditionally compared Pt-based electrodes under identical conditions. The findings showed that the Ag2S-based DSSCs exhibited a power conversion efficiency (ƞ) that was approximately 5.2 % higher than that of the platinum-based DSSCs. Consequently, the results of this study demonstrate that Ag2S-based NCs possess the potential to function as novel counter electrode materials for low-cost, Pt-free solar cells. Moreover, the results of this study bear considerable implications for the development of cost-effective and sustainable solar energy solutions. The advent of Ag2S-based NCs signifies a significant milestone in the quest for sustainable and efficient energy solutions. This study also invites further exploration into other potential material combinations and synthesis methods that could enhance the properties and performance of DSSCs.
AtıfScopus4WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Extraction of Phenolic Compounds From Lavender (Lavandula angustifolia L.) Plant by Natural Deep Eutectic Solvent and Greenness Assessment of Analytical Method With Modified Green Analytical Procedure Index
Ecem Bayram, Nesrin; Yenigün, Baran; Gerçek, Yusuf Can
In recent years, it has been important in terms of green technology and sustainability to promote the use of natural deep eutectic solvents (NADESs), especially those based on natural products, for the extraction of bioactive components with different functional properties from foods. Therefore, in this study, the effects of green extraction technology (ultrasonic-assisted extraction) and green solvents (NADESs) on the recovery of bioactive components from lavender (Lavandula angustifolia L.) were investigated and evaluated. In addition, the degree of greenness of the analytical method used during the study was determined using the modified green analytical procedure index (MoGAPI). In this context, the total phenolic content (TPC), total antioxidant capacity, and individual polyphenolic profiles of lavender extracts prepared with two different NADES were investigated by liquid chromatography-tandem mass spectrophotometer. Based on the results obtained, it was determined that NADES formed with choline chloride:formic acid (ChCl:FA) had a higher potential to extract bioactive components from lavender than NADES formed with ChCl:ethylene glycol (ChCl:EG). The TPC, antioxidant capacity, and total individual polyphenolic compound content of lavender extracted with these NADES were determined as 9.76 mg gallic acid equivalent/g, 20.83–104.39 mg Trolox equivalent/g, and 200.835 mg/kg, respectively. However, the degree of greenness determined by the MoGAPI tool of the analytical method used in this study was 78% and classified as ‘excellent green’. As a result, it can be concluded that NADES formed with ChCl:FA can be an alternative to conventional solvents for the extraction of bioactive components from lavender, as it provides a remarkable recovery of bioactive substances.
AtıfScopus5WoS4OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Bending and Buckling Analysis of Porous 2D Functionally Graded Beams with Exponential Material Property Variation
Adiyaman, Gökhan; Turan, Muhittin
The bending and buckling analysis of porous two-directional (2D) functionally graded (FG) beams was conducted using a higher-order shear deformation theory. The introduction of exponential functions to depict changes in material properties is a novel approach in the static analysis of 2D FG beams. Three distinct porosity distribution functions were taken into account. The governing equations were formulated through the application of Lagrange’s principle. During the numerical analysis, a finite element comprising two nodes and eight degrees of freedom was utilized. This choice facilitated accurate and efficient solutions, even for shorter beams, without the need for a shear correction factor. Notably, the obtained shear stresses aligned with actual values, registering as zero at both the top and bottom of the beam. The obtained results of the study were validated against findings reported in the literature. A parametric study was carried out to investigate the effects of porosity, porosity distributions, gradation parameters, slenderness, and boundary conditions on the non-dimensional deflections, stresses, critical buckling loads, and buckling mode shapes. It was found that both porosity and the distribution of porosity have noticeable effects on the static analysis of the beams.
AtıfScopus18OpenAlex13İncele - MakaleYalnız künye2025Scopus SJRQ2Influence of ultrasonic-assisted deep eutectic solvent extraction on bioactive compounds from germinated mung beans (Vigna radiata) and greenness assessment
Yücel, Tuğçenur; Kamiloğlu, Aybike; Kutlu, Naciye
In this study, the ultrasonic-assisted method was applied to extract phenolic, flavonoid, and antioxidant compounds from germinated mung beans. In addition, deep eutectic solvents (DESs) were chosen as solvents to support the green concept and to increase their applicability. Choline chloride is a quaternary ammonium salt and was used as the hydrogen bond acceptor (HBA), and compounds from the alcohol, organic acid, sugar, and amide groups were combined as hydrogen bond donors (HBD) to obtain 8 different DESs. Higher yields were obtained with ultrasonic-assisted DESs compared to the traditional method (maceration) when total phenolic compound and antioxidant activities were evaluated. While the most effective solvent for total phenolic compound yield was choline chloride:fructose, the highest antioxidant activity values were obtained with solvents using organic acids as HBD. Moreover, Blue Applicability Grade Index (BAGI) was used to assess the greenness of the applied ultrasonic-assisted spectrophotometric extraction and DESs. As a result, using green technology and green solvents was influential in the extraction of bioactive compounds, and their applicability was especially effective for mung beans.
AtıfScopus8WoS7OpenAlex8İncele - BildiriAçık Erişim2025Scopus SJRQ4Lightweight Hybrid CNN Model for Face Presentation Attack Detection
Turhal, Uğur; Yilmaz, Asuman Günay; Nabiyev, Vasif; Mammadova, G.; Aliev, T.; Aida-zade, K.
Today, face recognition systems are widely used in many areas that require biometric-based verification, especially because they are contactless and require low user cooperation. Despite their ease of implementation, these systems are vulnerable to attacks. Especially the increasing use of social media, makes it easier to spoof face recognition systems. Therefore, it is very important to develop new methods for Face Presentation Attack (FPA) detection. In this study, FPA detection performances of the lightweight Convolutional Neural Network (CNN) models -MobileNetV3-Small, ShuffleNet, SqueezeNet- and lightweight hybrid CNN models designed with combinations of these networks were investigated. In the experiments, the change in FPA detection performance was examined by giving the cropped face regions and the whole images as input to the networks. Using the whole image instead of the cropped face region significantly improved the FPA detection performance of the CNN models. These results showed that non-facial areas carry important information in FPA detection. Also, the FPA detection performance of the proposed lightweight hybrid CNN models were better than the single use of the networks for both inputs. 0.17% HTER performance was achieved with the hybrid CNN model built from the combination of ShuffleNet + SqueezeNet on the Replay-Attack dataset.
- Derleme MakaleYalnız künye2025Scopus SJRQ3Artificial Intelligence and Environmental Impact: Moving Beyond Humanizing Vocabulary and Anthropocentrism
Karakaş, Ümit; Özdemir, Vural
Artificial intelligence (AI) and its applications in digital health, bioengineering, and society have significant material impacts on the environment owing to AI’s vast energy demands and energy consumption, carbon footprints, and water usage to cool data centers and generate electricity to power the data centers. Yet, the environmental footprints of AI remain underappreciated and inadequately acknowledged. This is significant, particularly in this era of climate emergency and ongoing threats to planetary energy and water supplies. The vocabulary attached to AI often aims to mimic positive human capacities such as “warmness” and “care.” However, these attempts to humanize AI and digital technology come with an anthropocentric gaze and blind spots that bracket out the environmental impacts and footprints of AI and privilege humans and technology over nonhuman animals and planetary ecological limits. In medicine, the environmental impacts of large language models range from water consumption and carbon emission to rare mineral usage. This commentary and innovation analysis question and queer the popular imagination of AI and digital technology as things that only exist in the immaterial world of cyberspace. In the course of research on AI in planetary health, we must be cognizant of its materiality, ecological impacts, and massive energy and water demands. We argue that moving away from anthropocentric narratives and vocabulary in AI design and praxis would bode well to live within planetary ecological limits so that AI and emerging digital technologies best serve robust and responsible science and all life on the planet Earth. Copyright 2025, Mary Ann Liebert, Inc., publishers.
AtıfScopus10WoS7OpenAlex13İncele - MakaleAçık Erişim2025Scopus SJRQ2Physicochemical properties, organic acid composition and free amino acid profiles in selected Cornus mas L. genotypes from the Çoruh Valley
ERDOĞAN, Ümmügülsüm; ERDOĞAN, Yaşar
Cornus mas L. (cornelian cherry) is a species widely used from traditional consumption to modern industrial applications due to its high nutritional content, richness in phenolic compounds, and functional food potential. This study aimed to comprehensively evaluate the physicochemical properties, organic acid composition, and free amino acid profiles of 15 cornelian cherry genotypes selected from the Çoruh Valley, one of Turkey's important biodiversity centers. Fruit samples were collected at full physiological maturity, and TSS, titratable acidity, pH, sugar composition, ascorbic acid, and tannin contents were analyzed using standard methods.Organic acids were determined by HPLC-UV, and free amino acids were determined by HPLC with OPA/FMOC derivatization. All measured traits differed significantly among genotypes (p < 0.05). Malic acid ranged from 38.12 to 251.34 mg/100 g, and total organic acids from 588.89 to 1038.15 mg/100 g. Free amino acid contents ranged from 71.34 to 93.14 mg/100 g, with the highest values in the G7 and G5 genotypes. This study demonstrates that the Çoruh Valley is an important hotspot of genetic diversity for cornelian cherry and contains genotype groups suitable for different uses. Overall, the findings provide a biochemical basis for selecting genotypes for breeding, nutritional applications, and industrial processing.
- MakaleAçık Erişim2025Scopus SJRQ1From screens to minds: the mediating role of psychological well-being between digital reading and AI anxiety
Özbilen, Uğur; Banaz, Emrullah; Şahin, Tuğrul Gökmen
Introduction: This study investigates the mediating role of psychological well-being in the relationship between digital reading disposition and artificial intelligence (AI) anxiety among Turkish teachers. Addressing the growing concern of technology-related anxiety in education, the research explores how digital literacy and psychological resilience interact within a single structural model. Methods: A correlational research design was employed with data collected from 324 teachers. Participants completed the Digital Reading Disposition Scale, the Psychological Well-Being Scale, and the Artificial Intelligence Anxiety Scale. Bootstrapped structural equation modeling (SEM) was used to test the measurement model and the hypothesized mediation effect. Prior to SEM analysis, confirmatory factor analysis (CFA) was conducted to establish construct validity of the scales. Results: Findings revealed that digital reading disposition was positively associated with psychological well-being and negatively linked with AI anxiety. Psychological well-being was also negatively related to AI anxiety. Moreover, psychological well-being partially mediated the relationship between digital reading disposition and AI anxiety. Discussion: The results suggest that teachers with stronger digital reading dispositions experience higher psychological well-being, which in turn buffers against AI-related anxiety. These findings contribute novel theoretical insights to educational literature by integrating digital reading, psychological well-being, and AI anxiety into a single model. Practically, the study underscores the importance of fostering digital literacy and psychological resilience to mitigate technology-related anxiety in educational settings.
AtıfWoS1OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2Mind diet adherence associated with lower Zonulin levels in older Parkinson's patients
Esgin, Özge; Tokçaer Bora, Hatice Ayşe; Gülbahar, Özlem; Demirkesen, Özlem Cemile; Ataoğlu, Nigar Esra Erkoç; Söke, Fatih; Özçelik, Ayşe Özfer
Aim: This study investigates the association between adherence to the MIND diet and serum zonulin levels in older adults with Parkinson's disease (PD). Methods: Data were collected through structured survey forms and blood samples. The survey assessed general information, 24-hour food recalls, anthropometric measurements, the MIND diet adherence and physical activity levels. Zonulin levels were analysed from blood samples. Results: The study included 57 older adults with PD in stages 1–3 on the Hoehn & Yahr scale (29 women, 28 men; mean age 70.2 ± 4.6 years). Zonulin levels were negatively correlated with dietary total antioxidant capacity (p < 0.05). In adjusted analyses, higher adherence to the MIND diet was associated with lower zonulin levels (β = −0.25). Conclusions: These findings suggest a novel link between adherence to the MIND diet and reduced zonulin levels. MIND diet could have potential benefits for neurological function and intestinal barrier integrity.
- MakaleAçık Erişim2025Scopus SJRQ3Tailoring the optoelectronic properties of ZnO nanowires via TiO2 coating
Sarac, Mehmet Fahri; Mert, Merve; Solakyildirim, Tuba; Teber, Ahmet
The photosensing properties of TiO2/ZnO nanowires (NWs) were investigated by sequential deposition using thermal oxidation and sol–gel. It was found that TiO2/ZnO NWs with 5 mM concentration exhibit a higher aspect ratio compared to the 10 mM and 25 mM TiO2/ZnO NWs. The surface-to-volume ratio directly influences the photoluminescence (PL) intensity and electrical properties of the ZnO NWs. XPS confirmed the presence of TiO2 on the surface, while EDS detected titanium, with its concentration increasing as the TiO2 concentration rises. The photosensing performance of ZnO has been significantly improved by modifying it with TiO2. However, determining the optimum concentration is a critical factor in performance improvement. The findings show that high TiO2 concentrations improve surface properties, but excessive coating may limit carrier mobility. Photosensitivity has been increased at lower TiO2 concentration due to a higher surface-to-volume ratio (SVR) and, as a result, higher surface photoactivity. The 25 mM TiO2/ZnO NW array stands out in optimal detectability and photoresponsivity due to the reduced resistance caused by the increased Ti concentration on the surface. The 25 mM TiO2/ZnO NWs achieved the highest photoresponsivity (717 mA/W) and specific detectivity (1.48 × 101° Jones), while the 5 mM TiO2/ZnO NWs exhibited exceptional photosensitivity (320.11%), making them ideal for UV detection. The samples at varying concentrations show promise in photosensitivity, detectability, and photoresponsivity, making them suitable for environmental sensors, UV detectors, and other optoelectronic applications.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1ChatGPT in Early Childhood Science Education: Can It Offer Innovative Effective Solutions to Overcome Challenges?
Uğraş, Mustafa; Çakır, Zehra; Zacharis, Georgios; Kalogiannakis, Michail
This study explores the potential of ChatGPT to address challenges in Early Childhood Science Education (ECSE) from the perspective of educators. A qualitative case study was conducted with 33 Early Childhood Education (ECE) teachers in Türkiye, using semi-structured interviews. Data were analyzed through content analysis with MAXQDA 24 software. The results indicate that ECE teachers perceive ChatGPT as a partial solution to the scarcity of educational resources, appreciating its ability to propose alternative material uses and creative activity ideas. Participants also recognized its potential to support differentiated instruction by suggesting activities tailored to children’s developmental needs. Furthermore, ChatGPT was seen as a useful tool for generating lesson plans and activity options, although concerns were expressed that overreliance on the tool might undermine teachers’ pedagogical skills. Additional limitations highlighted include dependence on technology, restricted access to digital tools, diminished interpersonal interactions, risks of misinformation, and ethical concerns. Overall, while educators acknowledged ChatGPT’s usefulness in supporting ECSE, they emphasized that its integration into teaching practice should be cautious and balanced, considering both its educational benefits and its limitations.
AtıfScopus7WoS2OpenAlex8İncele - MakaleAçık Erişim2025Scopus SJRQ1Characterization and immune-modulatory roles of branched glucan and acetylated gluco-oligosaccharides produced by glucansucrase 40 from Leuconostoc mesenteroides YTU 40
Dere, Sevda; İspirli, Hümeyra; Korkmaz, Kader; Tuncil, Yunus Emre; Sagdic, Osman; Narbad, Arjan; Ayyash, Mutamed; Dertli, Enes
Glucansucrases (GS) are functional enzymes for the production of distinct glucan and gluco-oligosaccharide structures with potential bioactive characteristics. In this study, an active glucansucrase (GS40) was identified within the genome of Leuconostoc mesenteroides YTU 40 that was further cloned, heterologously expressed and biochemically characterised. GS40 was capable of production of a branched dextran with ~ 20% (1→3)-α-D-Glc residues detected by1H and13C NMR analysis. Acceptor reactions of GS40 with maltose and cellobiose were performed and distinct maltose/cellobiose derivative acetylated gluco-oligosaccharides were produced detected by TLC, NMR and LC-MS analysis. The bioactive characteristics of branched dextran and gluco-oligosaccharides were tested by determination of their immune-modulatory roles in terms of triggering IL-12, IL-10, IL-4 and TNF-α cytokine levels. These findings can be important to unveil the role of glucansucrases for the production of gluco-oligosaccharides that can be used as functional ingredients for food and other industries.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2The role of NiO in isotype heterojunction photodiodes
Sevgili, Ömer; Orak, İkram; Özel, Sultan Süleyman; Özel, Faruk
This study presents a structural analysis of NiO and the fabrication of Al/NiO/p-Si isotype heterojunction photodiode (PD) as well as an investigation of the photo-response and photovoltaic (PV) properties of the PD in the various illumination intensities. The series resistance (RS) value of the Al/NiO/p-Si was calculated to be 0.11 kΩ using Ohm’s Law at 2 V. This result corroborates the assertion that RS is the pivotal parameter for attaining optimal performance in a PD. The NiO has made a notable improvement to the electrical parameters such as ideality factor, barrier height, and series resistance. The spectral responsivity R value of the PD was calculated as 1.59 A W−1 at −2 V. The Al/NiO/p-Si exhibited a short-circuit current density (JSC) of 60.38 mA·cm−2, an open-circuit voltage (VOC) of 149.0 mV, a fill factor (FF) of 27.67%, and a power conversion efficiency (PCE) of 2.49%. In view of the experimental results, it can be concluded that NiO represents a promising material for the optimization of heterojunction photodiode applications.
- MakaleAçık Erişim2025Scopus SJRQ1The relationship between emotional intelligence levels, stress management skills and hormonal and cerebral responses in university students
Bayraktar, Bülent; Battal, Fetullah
Background: Emotional intelligence is a person’s ability, capacity and ability to understand, use, understand, manage, anticipate, manage and direct the emotions of oneself or others. Students with high levels of emotional intelligence express themselves better, are more resistant to stress in their lives, and are individuals who can direct their emotions. Leaders with strong emotional intelligence will create synergy for all employees. Therefore, emotional intelligence and stress management skills are important issues in the field of leadership and organizational behavior. At the same time, emotional intelligence and stress management skills interact with hormones. This study aims to examine the emotional intelligence levels and hormone (apelin, cortisol) and cerebral (Brain-derived neurotrophic factor (BDNF)) response of 4th-year students of the faculty of health sciences at the university, who are potential managers of the future in terms of some variables. Methods: The research was conducted using the cross-sectional data method with 167 university students aged 18–24 who were reported to be clinically healthy in Türkiye. Apelin, cortisol hormone and BDNF levels in the participants’ saliva samples were analyzed using the ELISA technique. The relationship between emotional intelligence level and total scores from the stress coping scale and salivary apelin, cortisol and BDNF levels were evaluated. Results: In the study, it was determined that the average level of apelin hormone in saliva was “2.36 ± 0.076)’’ ng/mL in girls and “2.57 ± 0.071’’ ng/mL in boys. In girls, the BDNF level was “3.19 ± 0.97’’ and the cortisol level was “2.04 ± 0.72’’. BDNF level in boys is “3.41 ± 0.94’’and cortisol level is “1.92 ± 0.59’’. There is a significant difference between the participants’ allowances (income levels) and the average levels of salivary apelin hormone, BDNF and emotional intelligence scale (p < 0.01). A positive, strong and statistically significant relationship was found between the participants’ emotional intelligence level and stress management skills and apelin and BDNF levels, and a negative, strong and statistically significant relationship was found between salivary cortisol levels (p˂0.01). Conclusions: High emotional intelligence and stress management skills are an important element of strategic importance for a successful management and professional success process in individuals who will work in fields that need people such as health, marketing, law, consultancy, medicine, teaching and the service sector. Our study determined that as university students’ emotional intelligence levels strengthened, the participants’ stress management skills, salivary apelin, and BDNF levels increased, and cortisol hormone levels decreased. As a result, monitoring and examining apelin, BDNF, cortisol hormones can be useful parameters in evaluating the interaction between individuals’ emotional intelligence level and stress management skills and hormone response.
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