Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Dertli, Enes(114)
- Kaya, Yunus(48)
- Şahin, Engin(48)
- İspirli, Hümeyra(47)
- Özen, Soner(38)
- Şenay, Volkan(37)
- Pat, Suat(36)
- Kutlu, Naciye(32)
- Artar, Musa(31)
- Can, Zehra(31)
- Korkmaz, Şadan(31)
- Yilmaz, Mustafa Tahsin(31)
- Öner, Erdal(31)
- Bayram, Sinan(30)
- Cuce, Erdem(30)
- Ertugrul, Mehmet(29)
- Hasar, Ugur Cem(29)
- Ecem Bayram, Nesrin(28)
- Mercan, Emin(28)
- Ayata, Ümit(27)
- Bayraktar, Bülent(27)
- Çolak, Murat(23)
- Özdemir, Akın(23)
- Ayazoglu, Rabil(22)
- Cuce, Pinar Mert(22)
- Sert, Durmuş(22)
- Bayram, Ozkan(21)
- Kamiloğlu, Aybike(21)
- Dirican, Ebubekir(20)
- Kadakal, Mahir(20)
- Abdioglu, Murat(19)
- Birinci, Ahmet(19)
- Tozlu, Alperen(19)
- Gerçek, Yusuf Can(18)
- Taylan, Osman(18)
- Cinar, Mehmet(17)
- Gul, Volkan(16)
- Hasar, Ugur C.(16)
- Kadakal, Huriye(16)
- Kara, Yakup(16)
Yayınlar
- MakaleYalnız künye2025Scopus SJRQ1The role of social media marketing activities in converting existing students into university advocates
Kethüda, Önder; Bilgin, Yusuf
This paper focuses on university social media marketing (SMM) activities and their role in converting following students into university advocates on social media. The study, which has a relationship-oriented approach, first categorizes university SMM activities into four groups: entertainment, interaction, trendiness, and customization. Then it provides the theoretical background for the research model and unveils the role of university SMM on university image, student satisfaction, student loyalty, and electronic word-of-mouth (e-WoM). Data was gathered from 1072 university students in an undergraduate program at 55 universities in Istanbul, Turkey. Structural equation modeling was used to test the model. Results indicate that a university’s SMM activities have a significant role in spreading favorable attributes of universities on social media, and university image, student satisfaction, and student loyalty foster this relationship.
AtıfScopus13WoS13OpenAlex16
İncele - MakaleYalnız künye2025Scopus SJRQ3Inorganic CNTS as a potential hole-transport material for extremely stable and effective perovskite solar cells
Sari, Fahriye; Ozel, Sultan Suleyman; Ozel, Faruk; Bersani, Massimo; Kus, Mahmut
In view of these distinctive properties, chalcogenide materials have attracted attention in response to the growing need for sustainable energy sources, with a particular focus on the efficient utilization of solar energy. One of the principal challenges associated with PSCslies in addressing the fill factor (FF) deficit and resolving stability concerns. Band alignment and resistance at the interface further reduce the fill factor, thereby limiting device performance. This research demonstrates that Cu2NiSnS4 (CNTS) can serve as an effective hole transport material for perovskite solar cells, offering an enhanced stability. In this study, kesterite-based CNTS is utilized as a hole-selective interlayer in inverted CH3NH3PbI3 perovskite solar cells (PSCs) on ITO/CNTS substrates. CNTS was selected due to its numerous advantages, including the abundance of their constituent elements in nature, non-toxicity, cost-effectiveness, appropriate band gap and absorption coefficient for photovoltaic (PV) applications, as well as their tunable band gap properties. Deposition of CNTS onto ITO glass alters the substrate's work function, resulting in open-circuit voltages exceeding 1.0 V. Solar cells on ITO substrates without a metal oxide layer demonstrated an exceptional power conversion efficiency (PCE) of 10.6 %. This highlights the potential of PSCs for high performance with a single selective contact. Our findings reveal that these cells retain over 93 % of their initial efficiency after 720 h, demonstrating improved stability. Replacing p-type organic materials with inorganic counterparts offers a promising avenue for further research.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ1A Meta-Analysis of Self-Management Interventions in Teaching Daily Living Skills to Autistic Individuals
Aydin, Orhan; Sulu, Mehmet D.; Ari-Arat, Ceren
The current study aimed to conduct a systematic review and meta-analysis of self-management interventions for teaching daily living skills to autistic individuals. This study accessed the corresponding studies by doing a search in six databases. 14 articles and one dissertation met the inclusion criteria. The included studies were first analyzed descriptively and coded according to quality indicators using What Works Clearinghouse (WWC) standards. Second, the effect sizes of the included studies were calculated using two different effect size measures (i.e., Tau-U and performance-criteria-based effect size values [PCES]). Third, these analyses were also conducted for generalization and maintenance data. Of 15 studies included in this review, nine met the WWC standards with and without reservations. Tau-U analyses were conducted for 14 studies, whereas PCES values were calculated for only eight studies with mastery criteria. The findings indicated that the self-management interventions had a.93 CI95 (.80, 1) overall effect size for Tau-U with a very large effect. On the other hand, the overall effect size for the PCES values indicated a moderate effect with.99. The weighted effect sizes in generalization and maintenance phases were very large for Tau-U; however, moderate to high effects for PCES. Although self-management interventions showed diversity, one of the domains of daily living skills (i.e., community living skills) has not been studied in the field. Notably, among the studies in our review, the last ones are from 2019. Detailed findings from descriptive analyses and two different effect size calculations are discussed, and recommendations for future studies are given.
AtıfScopus5WoS3OpenAlex9
İncele - MakaleAçık Erişim2025Scopus SJRQ2Design and Fabrication of Multi-Magnetron Microwave Oven for High-Temperature Applications
Özmen, Ahmet; Coşkun, Aykut; Ertuğrul, Mehmet
This article examines the design, manufacture, and performance of multi-magnetron ovens capable of reaching high temperatures. Firstly, an appropriate waveguide was simulated, and the production process was completed. Then, the proposed designs for multi-magnetron ovens were simulated, and appropriate dimensions were suggested. It was reported that the average power density (PD) value of the produced multi-magnetron oven was 0.37 mW/cm², which indicates its performance and efficiency. This value was found to be compliant with standards and safe for human use. The main objective of our study was to demonstrate that waveguides can reach high temperatures at the center of the oven without affecting each other. In this context, it was observed that the temperature created by magnetrons operating in single, double, triple, and quadruple modes gradually increased at the center of the oven. The simulation results supporting this showed that the S21 parameter was-177 dB. The design proposed and applied in our study was efficient, easy to produce, safe for human use, low cost, and usable in commercial and academic studies for reaching high temperatures. Overall, the multi-magnetron oven design proved to be a successful and practical solution for applications requiring high temperatures, showcasing its potential for both industrial and research purposes. The findings of this study contribute valuable insights into the development of advanced heating technologies, demonstrating significant improvements in efficiency and safety for high-temperature applications.
AtıfScopus4OpenAlex4
İncele - MakaleAçık Erişim2025Scopus SJRQ1Artificial neural network modelling of reactive red 45 Azo dye removal by peroxi-electrocoagulation
Bayar, S.; Erdoğan, M.; Taşdemir, A.; Kaleli, A.; Paloluoglu, C.
In the present study, the Peroxi-electrocoagulation process was employed to remove chemical oxygen demand and the decolorization of reactive red 45 dye wastewater. This process offers several advantages, including the oxidation of dye molecules by hydroxyl radicals and coagulation through iron hydroxide precipitation. The reactor was equipped with six iron electrodes, providing a total surface area of 546 cm2. The effects of applied current (0.3–0.18 A), hydrogen peroxide concentration (100–700 mg/L), initial pH (2.5–5.0), and dye concentration (100–500 mg/L) on chemical oxygen demand and color removal were investigated. Optimum operational conditions were determined to be applied current of 0.150 (corresponding to current density of 0.27 mA/cm2), pH of 3.0, H2O2 concentration of 600 mg/L, and dye concentration of 200 mg/L. Under these conditions, COD and color efficiencies reached 83% and > 99%, respectively. The specific energy consumption under optimal conditions was 33.4 kWh/kg COD with 82.8% COD removal. The findings indicate that increasing the applied current and H2O2 concentration enhances removal performance up to a certain threshold, beyond which no significant improvement is observed. This suggests that the availability of electrogenerated reagents governs the overall reaction efficiency. Additionally, an artificial neural network model was developed to predict COD and color removal efficiencies. The network employed a 4:10:2 architecture and was trained using a backpropagation algorithm. Input variables included applied current, pH, H2O2 concentration, and dye concentration. The model exhibited high predictive accuracy, with R2 of 0.9782 for COD removal and 0.9579 for Color removal, confirming the effectiveness of the ANN in modeling.
AtıfScopus3WoS3OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ1Validity and Reliability of a Novel AI-Based System in Athletic Performance Assessment: The Case of DeepSport †
Aydemir, Burakhan; Aydoğan, Muhammed Talha; Boz, Emre; Kul, Murat; Kırkbir, Fatih; Özkara, Abdullah Bora
This study aimed to examine the validity and reliability of the AI-based DeepSport application by comparing its outcomes with those from the reference device, OptoJump. The primary dependent variables measured were jump height and anaerobic power during vertical jump assessments. Twelve elite male basketball players voluntarily participated in the study (age = 21.53 ± 1.14 years; sports experience = 6.47 ± 1.01 years). DeepSport uses AI-based image processing from standard cameras, while OptoJump uses optical sensor technology. Both DeepSport and OptoJump systems were utilized to assess participants’ Countermovement Jump (CMJ) and Squat Jump (SJ) performances. A G*Power (version 3.1.9.7) analysis determined the required sample size, adopting a 95% confidence level, 90% test power, and an effect size of 0.25. Validity assessments were conducted using Bland-Altman plots and ordinary least products (OLP) regression analysis, while reliability was evaluated through intraclass correlation coefficient (ICC), coefficient of variation (CV), standard error of measurement (SEM), and smallest detectable change (SDC) analyses. DeepSport showed excellent reliability in CMJ and SJ tests with ICC values > 0.90, and CV ranged between 2.12% and 4.95%. Results were consistent with OptoJump, showing no significant differences according to t-test results (p > 0.05). Bland–Altman analyses indicated no systematic bias and random distribution. These findings confirm that both DeepSport and OptoJump devices demonstrate high reliability and consistency, suggesting their validity and reliability for use in athlete performance assessments by coaches and athletes.
AtıfScopus4WoS3OpenAlex5İncele - MakaleAçık Erişim2025Scopus SJRQ1Cultural adaptation and psychometric validation of the Turkish MIND diet adherence scale for young adults
Esgin, Özge; Aslan Çin, Nazlı Nur; Kaplan, Özlem Nur; Baratzada, Leeda; Özçelik, Ayşe Özfer
Background: The MIND diet, which promotes brain health, has a potential role in preventing cognitive decline. To further establish its applicability, it is essential to validate the MIND Diet Adherence Scale in different populations with diverse dietary habits, including Turkish young adults. Objective: The aim of this study was to evaluate the construct validity, internal consistency and test-retest reliability of the Turkish version of the MIND diet assessment tool in the Turkish population. Methods: A total of 310 individuals aged between 19 and 39 (mean age 25.0 ± 5.1) voluntarily participated in this study. Data were collected through face-to-face interviews, incorporating socio-demographic characteristics, anthropometric measurements, the MIND Diet Adherence Scale, and the Mediterranean Diet Adherence Scale. Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) of the MIND Dietary Adherence Scale were performed. In the CFA, the goodness of fit of the hypothesized model to the observed data was evaluated using a range of fit indices. Results: The study determined an adequate sample size (KMO = 0.67), with sufficient item correlations for factor analysis (χ2 = 449.74; p < 0.001). Confirmatory factor analysis and goodness-of-fit indicators supported the fit of the two-factor model to the Turkish data. The Cronbach’s alpha internal consistency coefficient for the MIND Diet Adherence Scale was 0.61. All items in the scale exhibited a positive correlation with the total score, exceeding 0.40. Furthermore, a substantial positive correlation was observed between the Mediterranean Diet Adherence Scale and the MIND Diet Adherence Scale. Conclusions: The Turkish adaptation of the MIND Diet Adherence Scale can be utilized in its entirety, without the need to remove any items. This study affirms that the MIND Diet Adherence Scale is a valid and reliable measurement tool for assessing dietary habits in Turkish society.
AtıfScopus3WoS3OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ1An attraction–repulsion chemotaxis with logistic source involving the exponents depending on the spatial variables
Ayazoglu, Rabil
We study the quasilinear attraction–repulsion chemotaxis system of parabolic–elliptic type with logistic source involving the exponents depending on the spatial variables: ut=Δu-χ∇·uu+1r-1∇υ+ξ∇·uu+1r-1∇ω+au-bum(x), 0=Δυ-βυ+αu, 0=Δω-δω+γu, where α, β, δ, γ, χ, ξ, b>0, a≥0, r∈R and m:Ω→1,∞ is a measurable function, subject to the homogeneous Neumann boundary conditions in a bounded domain RNN≥1 with smooth boundary. We prove that this system possesses a unique global bounded classical solution, which is an extension of known results, if the repulsion cancels the attraction in the sense that (balance) χα=ξγ with essinfx∈Ωmx>r+N-2+N,1, and if the attraction prevails over the repulsion in the sense that χα>ξγ with essinfx∈Ωmx>maxr+1,1, and if the repulsion prevails over the attraction in the sense that χα<ξγ.
AtıfScopus2WoS2İncele - 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.
AtıfScopus8WoS4OpenAlex8İncele - 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.
AtıfScopus10WoS9OpenAlex11İncele - 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 - 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.
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