Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(34)
- Tuncer, Metin(11)
- Merdan, Mehmet(10)
- Emirza, Elif Güzide(9)
- Yilmaz, Coskun(9)
- Baltaci, Cemalettin(8)
- Baltacı, Cemalettin(8)
- Tuncer, Gülsüm Zekiye(8)
- Türkkan, Tuğba(8)
- Dinç, Artum(7)
- Araz, Onur(6)
- Bekar, Fevziye(6)
- Cakir, Mehmet Ali(6)
- Ceylan, Levent(6)
- Duran, Celal(6)
- Koçak, Tevfik(6)
- Ozdes, Duygu(6)
- Soydaş, Şafak Sönmez(6)
- Akmeşe, Osman(5)
- Akyol, Hikmet(5)
- Bayrak, Nurten Gülsüm(5)
- Bayrakdaroglu, Serdar(5)
- Bülbül, Kenan(5)
- Ceylan, Halil Ibrahim(5)
- Gücer, Mehmet Ali(5)
- Karimullah, Suud Sarim(5)
- Kavuran, Korhan(5)
- Kaygusuz, Abdullah(5)
- Kulakaç, Nurşen(5)
- Kurnaz, Muammer(5)
- Saydam Eker, Çiğdem(5)
- Turk, Veysel(5)
- Öztürk, Serkan(5)
- (Alieva), Vildane Özkan(4)
- Abada, A.(4)
- Abbrescia, M.(4)
- Abdolmaleki, H.(4)
- Abidi, S. H.(4)
- Abramov, A.(4)
- Adam, C.(4)
Yayınlar
- MakaleAçık Erişim2025As if I don't belong here. First-Year Experiences of International Nursing Students at University - A Qualitative Study
Tuncer, Gulsum Zekiye; Tuncer, Metin
Background: The rapid adaptation of international nursing students to university life enables them to actively continue their education without disruption in the following years. Identifying the challenges faced by these students, who are future nursing professionals, is essential fortheir adaptation and professional development. Aim: This study aimed to explore the perspectives of international nursing students regarding their first-year experiences at university. Methods: This study employed a descriptive qualitative research design. The Consolidated Criteria for Reporting Qualitative Research (COREQ) was used for reporting. The sample consisted of 13 international nursing students enrolled in the Faculty of Nursing at a university. Data were collected through face-to-face, individual, in-depth interviews using semi-structured interview questions. Content analysis was used to analyze the data. Results: The mean age of the nursing students was 23.3 years. Among the participants, seven were women, 11 had been residing in Turkiye for approximately one year, 12 were from Iran, and one was from Iraq. Three key themes emerged in this study: Facilitators of Adaptation, Challenges, and Coping. The students identified several facilitators of adaptation, including similarities between the Turkish economy and culture and their home countries' economies and cultures, proficiency in the Turkish language, studying at a nursing school aligned with their career goals, and receiving social support from their relatives. However, they also faced challenges such as language barriers, cultural differences, discrimination, social isolation, homesickness, and academic and clinical difficulties. Conclusion: International nursing students may encounter language barriers, cultural differences, and education-specific challenges during their first year of nursing school. In this context, developing support mechanisms to guide these students in their academic and social lives will facilitate their ability to cope with these difficulties.
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İncele - MakaleYalnız künye2025Scopus SJRQ1Performance assessment of solar-powered electric vehicles: Importance of maximum power point tracking, range enhancement and charging frequency analysis under various operating and irradiance conditions
Başoğlu, Mustafa Engin
Decarbonizing the transportation sector is becoming a crucial focus in the 21st century. As the popularity of internal combustion engine vehicles declines, the adoption of hybrid and electric vehicles (EVs) is significantly increasing. One of the main challenges for battery-powered vehicles, aside from safety concerns, is the limited driving range and frequent charging requirements. Integrating a photovoltaic (PV) module onto a vehicle's surface enables continuous battery charging during both motion and stationary periods, thereby extending the vehicle's range on a full charge. This study presents two main contributions: a modified 0.8VOC-based maximum power point tracking (MPPT) method for fast-changing irradiance conditions for flat-roof vehicle-integrated PV (VIPV) systems, and a long-term simulation analysis of classical MPPT methods using two new indicators for range extension and vehicle charging frequency variations under different irradiance profiles. The proposed MPPT method yielded superior energy performance, achieving 16–25 % higher energy generation compared to both the incremental conductance (IC) algorithm and the variable step-sized (VSS) perturb and observe (P&O) method. Long-term simulations conducted for three EV models demonstrated a daily driving range extension of 2–7 km with an 185W PV module, along with up to a 19 % reduction in charging frequency, depending on the battery capacity and vehicle models.
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İncele - MakaleAçık Erişim2025Scopus SJRQ1The effect of Augmented Reality (AR) supported geometric shape learning on children’s visual perceptual development in early childhood education
Özel, Özge; Hançer, Buse; Sop, Aylin
This study examined the impact of an Augmented Reality (AR)-based virtual application on preschool children's visual perception development in geometric shape learning. A quasi-experimental research design was employed. The study sample consisted of 26 preschool children, aged 5–6, from a public school in Türkiye. The children in the experimental group engaged with AR-supported materials, allowing them to explore geometric shapes interactively and listen to their properties in a virtual environment. Each child participated individually in the learning application for 50–60 minutes. The Frostig Visual Perception Test was administered as both a pre-test and post-test. Results indicated that the AR-based learning application had a statistically significant positive effect on preschool children's visual perception development.
AtıfScopus2WoS4OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Investigation of the Effects of Filling Speed, Casting Temperature and Metallurgical Quality on Fluidity of Lamellar Graphite Cast Iron at Different Section Thicknesses
Köse, Sami; Çolak, Murat; Şüküroğlu, Ebru Emine
In this study, the fluidity properties of the alloy were investigated at different casting temperatures, different section thicknesses, and varying casting parameters of lamellar graphite cast iron materials. To achieve our goal, we utilized sand molds that were created with specific parameters including pouring temperature, metallurgical quality, section thickness, and fluidity test model. These molds were used for casting. Thus, the effect of fluidity properties in changing casting conditions and liquid metal advance distances at determined section thicknesses was investigated. Modeling was carried out with FlowCast casting simulation software by determining the liquid metal advance distance depending on the section thickness in the castings made in sand molds under changing casting conditions. The fluidity and advance distance of the liquid metal was determined comparatively with experimental and modeling techniques under the changing casting conditions in the parameters determined in this study. When the outcomes were examined; it was observed that different liquid metal advance distances occur at different cross-section thicknesses depending on the changing conditions.
AtıfScopus8WoS8OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ2Optimal Ratio of Steel and Polyester Fibers on the Mechanical Behavior of Alkali-Activated Concrete Produced by Industrial Waste Minerals
Aksüt, Yavuz Selim; Çullu, Mustafa; Yetgin, Şükrü
Alkali Activation Concretes (AAC) have many superior properties compared to Ordinary Portland Cement Concrete (OPC). However, it shows traditional concrete behavior with its brittleness. In this case, the tensile strength and flexural strength which are weak in addition to ductility is being studied to be increased by using various artificial and natural fibers. In this context, it is inevitable to conduct multifaceted research to improve the behavior of Fiber Alkali Activated Concrete (FAAC). In this study, 13 different mixes were made using steel and polyester fibers in different proportions by volume (0%; 0.25%; 0.50%; 0.75%; 1%) separately and hybrid. The mechanical properties of cubic (150 × 150 × 150 mm), cylindirical (100 × 200 mm) and prismatic (150 × 150 × 600 mm) specimens were determined including compressive strength, modulus of elasticity and poison ratio, splitting tensile strength and flexural strength (toughness-energy absorption capacity and modulus of rupture). crack formation in concrete occurs early and a significant decrease in strength is observed due to the high flexibility and low flow resistance of polyester fibers. Steel fibers with high strength and higher yield strength were used in hybrid form to solve this problem. It was revealed that the blend ratio that contributed the most to the mechanical behavior of the specimens was the case where the fibers were used as hybrid at a ratio of 1% by volume evaluation from both the experimental results and the optimization.
AtıfScopus4OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ4The effect of perceived scarcity of staple goods on stockpiling behaviour and impulse purchase intention and the mediating role of social media
Avci, Ibrahim
The research’s goal in this setting is to uncover the effects of consumers’ perceived scarcity of staple goods on impulse buy intention and stockpiling behaviour, as well as to determine the function of social media posts in mediating these effects. 594 consumers who had recently purchased staple goods from grocery stores participated in the survey. As a result of the structural equation model analysis, it was determined that perceived scarcity of staple goods has a positive effect on impulse purchase intention, stockpiling behaviour and social media. Finally, it was also determined that social media sharing has a mediating role on the effect of perceived scarcity of staple goods on impulse purchase intention and stockpiling behaviour. The findings obtained provide important theoretical and practical contributions.
AtıfScopus2OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ1Zircon U-Pb geochronology and Sr-Nd-Pb-Hf-O isotope signatures of Middle Eocene high-K plutons from the Eastern Pontides Orogenic Belt, NE Turkey: implications for parental magma sources and magmatic processes
Kaygusuz, Abdullah; Güloğlu, Zikrullah Samet; Aydınçakır, Emre; Yücel, Cem; Vural, Alaaddin; Saydam Eker, Çiğdem; Cicerali, Derya
The Eastern Pontides Orogenic Belt (EPOB) in northeastern Turkey is a well-preserved continental magmatic arc in the Alpine-Himalayan Orogenic Belt and contains many Eocene I-type high-K plutons. Employing LA-ICP-MS U-Pb zircon geochronology, the crystallization ages of the investigated Yaylalıköy and Taşbaşı plutons were established to be Lutetian (Middle Eocene), ranging from 47 Ma to 46 Ma. These plutons exhibit a compositional spectrum ranging from diorite to granodiorite, characterized by I-type, metaluminous, and high-K geochemical signatures. Notably, they are enriched in large-ion lithophile elements (LILEs) and light rare earth elements (LREEs), displaying pronounced negative Eu anomalies (EuN/Eu* = 0.58–0.96). Isotopic signatures reveal homogeneous and moderately low initial 87 Sr/86 Sr(i) ratios (0.704643–0.705034) and positive εNd(i) values (0.24 to 1.67) for the investigated plutons. These isotopic signatures are consistent with mantle origin, as evidenced by their position within the mantle array on isotope ratio diagrams. Lead isotope compositions exhibit limited variations, with initial ratios of 206 Pb/204 Pb(i) (18.55–18.64), 207 Pb/204 Pb(i) (15.61–15.64), and 208 Pb/204 Pb(i) (38.46–38.75). Zircon εHf(i) values are positive (2.32–6.20), plotting between the depleted mantle and chondritic evolution lines. Additionally, these rocks display low zircon δ18 O values (+4.54 to + 6.53‰), comparable to mantle composition. The petrographic characteristics of the investigated plutons suggest that fractional crystallization with minimal assimilation and/or magma mixing played a dominant role during their solidification. The integration of geochemical and isotopic data, alongside regional geological constraints, advocates for enriched lithospheric mantle as the source for the parental magmas of the studied plutons. These magmas subsequently underwent differentiation within a deep-seated magma chamber, followed by emplacement into the crust.
AtıfScopus5WoS6OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ1Paleolatitudinal movements of the eastern Sakarya Zone from Jurassic to Eocene
Kayın, Sercan; Hisarlı, Z. Mümtaz; İşseven, Turgay; Dokuz, Abdurrahman; Algur, Bahadırhan Sefa
The study area covers a region oriented north-south from the Black Sea coastline in the north to the Kelkit Basin in the south within the eastern Sakarya Zone in northern Türkiye. The objective of this study is to investigate the paleolatitudinal movements of the eastern Sakarya Zone during the Jurassic-Eocene time interval through paleomagnetism. Various volcanic and sedimentary units (e.g., the Şenköy, Berdiga, Mescitli, Çatak, Kızılkaya, and Çağlayan Formations) spanning the time interval from the Early Jurassic to Middle Eocene were identified. A total of 98 locations belonging to Early/Middle Jurassic to Eocene volcanic and sedimentary units were selected for paleomagnetic core sample collection. The samples were subjected to demagnetization through thermal and alternating field methods. Characteristic remanent magnetization directions (ChRM) were obtained. Isothermal remanent magnetization (IRM) and high temperature susceptibility (HTS) measurements were made to identify the minerals responsible for magnetization. To ascertain whether magnetization was acquired through rock formation or as a consequence of subsequent tectonic processes, conglomerate and fold tests were performed. The results showed that magnetization was acquired before folding, i.e., the rocks have primary magnetization. Polarity tests were also conducted using coeval normal and reverse polarity sites. The results indicate that the mean magnetization direction for the Early-Middle Jurassic is 18.1°/55.2° (D/I) and 3.3°/51.5° (D/I) for sedimentary and volcanic rocks, respectively, and 348.7°/46.7° (D/I) for Late Jurassic/Early Cretaceous sedimentary rocks. In the Late Cretaceous period, the mean magnetization direction is 8.0°/49.3° (D/I) and 9.1°/47.0° (D/I) for sedimentary and volcanic rocks, respectively. In the case of the Early/Middle Eocene, the mean magnetization direction is 348.6°/52.7° (D/I) and 5.9°/48.8° (D/I) for sedimentary and volcanic rocks, respectively. In this study, the E/I correction was applied to the Late Jurassic/Early Cretaceous sedimentary rocks, and paleolatitude data obtained from sedimentary rocks were also utilized. Our paleomagnetic results indicate that the eastern Sakarya Zone was situated at latitudes spanning from 27.9° to 35.7° during the Early Jurassic - Middle Eocene time interval. In consequence, the eastern Sakarya Zone constituted a portion of the southern margin of the Eurasian continent during the Late Jurassic and Middle Eocene periods.
- MakaleAçık Erişim2025Scopus SJRQ1The impact of photovoltaic panels on the environment and yield parameters in an open field agrivoltaic system: A case study in Ayaş, Ankara
Senturk, Bilge; Oylek, Yelda; Kanar, Zeynep Sevim; Celik, Ridvan; Kurtulus, Gunes; Ozden, Talat
Agrivoltaic systems represent an innovative approach that integrates energy production and agriculture by installing elevated photovoltaic modules over farmland. In this study, the critical parameters on microclimate and microenvironment conditions — soil moisture and temperature, relative humidity, ambient temperature, photosynthetically active radiation, wind speed — and crop yield amount were monitored and analyzed in a single axis tracking AgriPV system installed in Ankara, Türkiye. Results indicate that under the 35 % coverage AgriPV system, photosynthetically active radiation decreased by 38.55 %. Additionally, soil moisture was found to be higher at 20 cm below under the AgriPV system compared to the reference field during the plant growth period. The yield data showed a considerable difference in crop amount under the AgriPV system across different harvest periods. The results are critically important for developing models in future phases that aim to predict and optimize the agricultural and ecosystem performance of AgriPV systems.
AtıfScopus16WoS14OpenAlex12İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ1Attitude synchronization of chaotic satellites with unknown dynamics using a neural network based fixed time sliding mode controller
Bingöl, Özhan
This study investigates the synchronization and anti-synchronization of both identical and non-identical chaotic satellite systems. A fixed-time sliding mode control framework, based on a radial basis function (RBF) neural network, has been developed to synchronize the chaotic dynamics of master–slave satellite configurations. The proposed control scheme operates under the assumption that the dynamics of the satellites are not entirely known. The proposed control method guarantees that system errors will converge to negligible levels within a fixed time. Furthermore, the controller exhibits robustness in the presence of parametric uncertainties and external disturbances. The stability of the controlled systems is rigorously validated through Lyapunov analysis, and the controller's effectiveness is confirmed through extensive simulation studies. These simulations are conducted on both identical and non-identical satellite models, with performance comparisons made against recent findings reported in the literature.
AtıfScopus9WoS9OpenAlex9İncele - MakaleAçık Erişim2025Scopus SJRQ3A new class of robust ratio estimators for finite population variance
Zaman, Tolga; Bulut, Hasan
It is a general practice to use robust estimates to improve ratio estimators using functions of the parameters of an auxiliary variable. In this study, a new class of robust estimators based upon the Minimum Covariance Determinant (MCD) and the Minimum Volume Ellipsoid (MVE) robust covariance estimates have been suggested for estimating population variance in the presence of outlier values in the data set for the simple random sampling. The expression for the Mean Square Error (MSE) of the proposed class of estimators is derived from the first degree of approximation. The efficiency of the proposed class of robust estimators is compared with some competing estimators discussed in the literature, and found that proposed estimators are better than other mentioned estimators here. In addition, real data set and simulation studies are performed to present the efficiencies of the estimators. We demonstrate theoretically and numerically that the proposed class of estimators performs better than all other competitor estimators under all situations.
AtıfScopus8WoS14OpenAlex12İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ2A structured educational model to improve the education of nurses: Case-based learning
Aydın, Aydanur
Background: Case-based training is a crucial component of nursing education, providing students with opportunities to enhance clinical reasoning, critical thinking, and professional behavior. However, few studies integrate these constructs into measurable educational outcomes. Methods: This study aims to look at the influence of online care training, which is based on case studies in surgical illnesses nursing, on students' care behaviors and self-efficacy levels. Participants were randomly assigned to undergo case-based education or traditional instruction. One hundred and four undergraduate nursing students from one university were chosen to participate. The structure is logical, with causal relationships between claims and a clear order of information. The researcher used an online platform to collect data from students in both groups before and three months after training. The introduction features form comprised the caring behavior scale (CBS) and questions to assess nursing students' self-efficacy. Results: Before the training, there was no discernible difference in the levels of care exhibited by the participants or in their self-efficacy. Nevertheless, a notable alteration was observed in the CBS scores of the intervention group students following the training period. Their CBS and self-efficacy scores surpassed those of the control group. The results of the regression analysis indicated that age, gender, place of residence, and caring assessment scores did not exert a significant influence on the total score of the Caring Behavior Scale. Conclusion: The findings of the research indicated that structured case-based nursing education was an effective method for fostering the development of caring behaviors among students.
AtıfScopus2WoS1OpenAlex2İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ2Convergence on Kirk Iteration of Cesàro Means for Asymptotically Nonexpansive Mappings
Cona, Lale; Şimşek, Deniz
This article addresses the convergence of iteration sequences in Cesàro means for asymptotically nonexpansive mappings. Specifically, this study explores the behavior of Kirk iteration in the Cesàro means in the context of uniformly convex and reflexive Banach spaces equipped with uniformly Gâteaux differentiable norms. The focus is to determine the conditions under which the Kirk iteration sequence converges strongly or weakly to a fixed point. Finally, some examples are given in this article to demonstrate the advantages of the preferred iteration method and to verify the results obtained.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ1A deep neural network combined with a two-stage ensemble model for detecting cracks in concrete structures
Reis, Hatice Catal; Turk, Veysel; Kaya Yildiz, Cagla Melisa; Bozkurt, Muhammet Furkan; Karagoz, Seray Nur; Ustuner, Mustafa
Detection of cracks in concrete structures is critical for their safety and the sustainability of maintenance processes. Traditional inspection techniques are costly, time-consuming, and inefficient regarding human resources. Deep learning architectures have become more widespread in recent years by accelerating these processes and increasing their efficiency. Deep learning models (DLMs) stand out as an effective solution in crack detection due to their features such as end-to-end learning capability, model adaptation, and automatic learning processes. However, providing an optimal balance between model performance and computational efficiency of DLMs is a vital research topic. In this article, three different methods are proposed for detecting cracks in concrete structures. In the first method, a Separable Convolutional with Attention and Multi-layer Enhanced Fusion Network (SCAMEFNet) deep neural network, which has a deep architecture and can provide a balance between the depth of DLMs and model parameters, has been developed. This model was designed using a convolutional neural network, multi-head attention, and various fusion techniques. The second method proposes a modified vision transformer (ViT) model. A two-stage ensemble learning model, deep feature-based two-stage ensemble model (DFTSEM), is proposed in the third method. In this method, deep features and machine learning methods are used. The proposed approaches are evaluated using the Concrete Cracks Image Data set, which the authors collected and contains concrete cracks on building surfaces. The results show that the SCAMEFNet model achieved an accuracy rate of 98.83%, the ViT model 97.33%, and the DFTSEM model 99.00%. These findings show that the proposed techniques successfully detect surface cracks and deformations and can provide practical solutions to real-world problems. In addition, the developed methods can contribute as a tool for BIM platforms in smart cities for building health.
AtıfScopus2WoS2OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ3Interpretable machine learning for rapid prediction and calibration of HPGe detector efficiency: a physics-informed approach and online platform
Yesilkanat, Cafer Mert; Celik, Necati; Celik, Ahmet; Cevik, Ugur
This study introduces a novel, physics-informed, and calibration-friendly hybrid machine learning framework for the rapid and accurate prediction of the Full Energy Peak (FEP) efficiency in High-Purity Germanium (HPGe) detectors. To overcome the limitations of conventional “black-box” models, our two-stage approach first represents the FEP efficiency curve using a physically interpretable logarithmic polynomial. Subsequently, machine learning models were trained to predict the polynomial coefficients directly from the detector geometric parameters using a comprehensive dataset generated via Monte Carlo simulations. Among the various algorithms tested, the Generalized Linear Model yielded superior performance, achieving R2 values of 0.975–0.992 for the coefficients. While raw model predictions showed expected variability, a key feature of our framework (a single-point calibration protocol using one known efficiency value) dramatically improved accuracy, reducing the mean absolute percentage error by an average of 80% on the independent test data. The calibrated model was further validated using an experimental detector. The entire framework was deployed as a user-friendly online platform, enabling researchers to instantly generate and calibrate efficiency curves. Our work successfully harmonizes interpretability, speed, and accuracy, offering a powerful tool for the design, optimization, and routine calibration of HPGe detectors.
AtıfScopus4WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ1A strategy for the one-pot direct production of 5-hydroxymethylfurfural (HMF) from sucrose using organic weak acid in situ as a catalyst
Gül, Abdulkadir; Tanyıldızı, Muhammet Şaban
5-Hydroxymethylfurfural (HMF), which can be produced in high yields by acid-catalyzed dehydration of carbohydrates, is used as a feedstock in biofuel and biopolymer production. However, these acidic catalysts are usually added externally, which increases HMF production costs. Furthermore, other important parameters for high yields of HMF production are raw material selection, reaction medium, and separation-purification processes. The aim of this study is to produce HMF in one-pot without the addition of any exogenous catalyst by evaluating the fructose remaining in the production medium in which the glucose from sucrose hydrolysis is microbially fermented into gluconic acid (GA). HMF production from fructose in a biphasic system consisting of a fermentation liquid containing GA and fructose and 2-Methyltetrahydrofuran (2-MeTHF) was optimized using Central Composite Design (CCD). The variables examined included reaction time, reaction temperature, solvent type, salt type, and organic/aqueous phase ratio. In the study, by chelating GA and calcium ions, the low degree of ionization of GA was increased, and HMF was produced in high yields without the addition of a catalyst. Under optimum conditions, using 2-MeTHF/ fermentation liquid (6:1) and 7.56 wt% CaCl2, the yield of HMF produced in pressurized (hydrothermal) vessels at about 147 °C for 158 min reached 77.6 % of the theoretical yield. The amount of GA in the production medium was 92.64 % preserved from degradation. GA and HMF in different phases of the biphasic system were purified from the production medium in high yields. Furthermore, 2-MeTHF, which constitutes the organic phase of the biphasic system, was recovered at approximately 95 % by vacuum evaporation. As a result, HMF production from sucrose, which is a more economical and abundant raw material compared to glucose and fructose, was realized in one-pot without the addition of any catalyst.
AtıfScopus6WoS5OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ1The Protective Effect of Boric Acid Against High Fructose-Induced Liver and Kidney Damage in Rats
Yüksel, Duygu; Başeğmez, Mehmet; Kan, Fahriye
This study aimed to determine the protective role of boric acid (BA) in high fructose (HF)-induced liver and kidney toxicity in a young rat model. High-fructose consumption causes serious damage to liver and kidney tissue in healthy individuals and contributes to the emergence of various metabolic diseases. Thirty-two healthy female Wistar albino rats (250–300 g weight and 3–4 months) were randomly distributed into four equal groups (n = 8): control, high fructose % 20 (HF), boric acid 20 mg/kg (BA), and HF + BA. High fructose was freshly prepared and administered to the rats as 20 g of d-fructose dissolved in 100 mL of tap water daily for a duration of 30 days. Boric acid (20 mg/kg) was administered through gastric gavage throughout the 30-day study period. At the end of study, blood, liver, and kidney were collected from rats. The results indicated that high fructose induced increased glucose, total cholesterol, triglyceride, and urea levels in rat serum. Boric acid administration significantly decreased glucose, total cholesterol, triglyceride, and urea levels in HF + BA groups. The results indicated that high fructose-induced oxidative stress by increasing the level of MDA and by decreasing GSH levels, and CAT activity in the liver and kidney of rats. However, oral BA administration significantly decreased MDA levels and increased GSH levels, and CAT activity (p < 0.05). Furthermore, BA significantly reduced high fructose-induced histopathological and Immunohistochemistry alteration in the liver and kidney tissues. In conclusion, BA may prevent the oxidative imbalance and histopathological and immunohistochemical damage caused by high fructose in liver and kidney tissues in rats.
AtıfScopus4WoS3OpenAlex3
İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ3An Analysis on The Relationship of Organic Honey Production and The Number of Producers with Growth, Employment, and Agricultural Employment in Türkiye; [Türkiye’de Organik Bal Üretimi ve Üretici Sayısı ile Büyüme, İstihdam ve Tarımsal İstihdam Arasındaki İlişkinin Tespitine Yönelik Bir Analiz]
Merdan, Kurtuluş
The growing world population has driven humanity to produce more food, potentially leading to the neglect of quality and safety in food production. Evolving life conditions and technological progress have altered the consciousness level of humanity, bringing about new demands in some communities due to high income. Organic beekeeping has developed within this structure and tends to flourish as a model in Türkiye. Organic beekeeping has increased the income from beekeeping. It is practiced in natural unspoiled areas with no conventional feeding and chemical pesticides and requires supervising all processes through inspection and certification. Besides organic honey, the most common organic beekeeping product, organic bee products include bee pollen, propolis, royal jelly, beeswax, and bee venom. This study presents the economic analysis of organic honey production volume in Türkiye. For this purpose, the short and long-term relationships of organic honey production and the number of producers with economic growth, employment, and agricultural employment were analyzed. In addition, organic honey production and the number of organic honey producers were examined as driving forces for growth, employment, and agricultural employment. In this context, annual time series data between 2004 and 2022 were used as the sample. According to the analysis, organic honey production, an independent variable, had no long-term relationship with employment and agricultural employment variables, whereas it had a long-term relationship with the growth variable. The number of organic honey producers, another independent variable, was found to have no long-run relationship with the employment variable; however, it had a long-term relationship with the growth and agricultural employment variables. The findings of the study indicated that organic honey production did not drive growth, employment, or agricultural employment. On the other hand, the number of organic honey producers led to growth, yet not to employment or agricultural employment.
- MakaleAçık Erişim2025Scopus SJRQ2Some physical and mechanical properties of particle boards produced from industrial wood chips and Scots pine (Pinus sylvestris) cones
Karahan, Selim; Guler, Cengiz
This study investigated the potential use of Scots pine cones as an alternative raw material to larch wood chips for particle board production. Due to the increasing scarcity of forest resources, exploring alternative raw material for the forest industry has gained importance in in recent years. Particle boards were produced in laboratory conditions by blending industrial wood chips with Scots pine cones in varying proportions (25 %, 50 %, 75 % and 100 %) and usingr urea formaldehyde glue. The adhesice mixture contained 55 % urea formaldehyde glue and 33 % ammonium chloride as a hardener. Te production parameters included a press temperature of 150 °C, a press time was 7 minutes, and a press pressure of 2,4 MPa to 2,6 MPa. The resulting boards had a thickness of 16 mm and a density ranging from 730 kg/m3 to 740 kg/m3. Tests for thickness iswelling, water absorption, bending strength, modulus of elasticity and tensile strength perpendicular to the surface were conducted. Results showed that the physical and mechanical properties of the boards containing up to 25 % Scots pine cone met the required standards.
AtıfScopus2WoS2OpenAlex3İncele - BildiriYalnız künye2025Multi Objective Reinforcement Tuning for Responsible Generative AI in Automated Financial Advisory Systems
Bhandarkar, Vishakha D; Genemo, Musa Dima; Muda, Iskandar; Murugan, Rekha; Sreeram, G.; Dharani, N.
Generative AI in a financial context poses risks to the areas of regulatory compliance, accuracy in the content being delivered, and appropriateness in terms of emotion. This research proposes ReFiGen, a framework that can be used to create compliant financial content that is compliant with the regulatory framework and the sentiment of the users. Following domain-specific fine-tuning, ReFiGen blends sentiment alignment with reinforcement learning to optimize on compliance. It demonstrates better performance than baseline models with a high data accuracy rate of 98.35 percent and can generate a fluent output that is emotionally congruent, and regulation-minded. The results of experiments indicate that ReFiGen is both clear and coherent and exactly follows financial guidelines. This practice affirms that the combination of unstructured compliance modeling and affective control is a successful aspect of LLMs. ReFiGen is one of the milestones on the journey of trustworthy and ethically aligned AI in the financial advisory market.