Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Bulut, Hasan(53)
- Baskonus, Haci Mehmet(52)
- Alataş, Mevlüt(39)
- Gul, Muhammet(39)
- Serdar, Osman(38)
- Güler, Ömer(37)
- Akkurt, Nevzat(31)
- Benzer, Fulya(30)
- Sulaiman, Tukur Abdulkadir(29)
- Yucesan, Melih(29)
- Zengin, Gokhan(29)
- Kocabaş, Mehmet(28)
- Topal, Murat(26)
- Batan, Nevzat(25)
- Kök, Mediha(25)
- Ezer, Tülay(24)
- Paksoy, Mehmet Yavuz(24)
- Yildirim, Ozal(23)
- Tekin, H.O.(22)
- Utku, Anıl(22)
- ALMisned, Ghada(21)
- Ince, Muharrem(21)
- Öbek, Erdal(21)
- Erten, Fusun(20)
- Aslan, Naim(19)
- Celik, Erkan(19)
- Yildirim, Numan(19)
- Cakilcioglu, Ugur(18)
- Dal, Murat(18)
- Dal, Nursel Alp(18)
- Sahin, Kazim(18)
- Özkaynak, Fatih(18)
- Aslan, Alper(17)
- Erata, Hüseyin(17)
- Orhan, Cemal(17)
- Ergen, Burhan(16)
- Tanyol, Mehtap(16)
- Demir, Yakup(15)
- Etli, Serkan(15)
- Işık, Erdem(15)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ3“Social Relations between the Sexes in Athena Farrokhzad’s Morals According to Medea”
Özger, Pelin Doğan
This paper explores how patriarchal power relations construct the idea of “nature” in Athena Farrokhzad’s Morals According to Medea (Moral enligt Medea, 2022), an adaptation of Euripides’ classic play Medea (431 BCE). The analysis will concentrate on Medea’s subversion of patriarchal “appropriation” tactics from a feminist perspective, particularly through ideological codes embedded in the dialogues between Medea and Morality, the only other character in the play. By doing so, it seeks to understand women’s position in relation to patriarchy through a materialist feminist lens, with particular attention to the conflict between Medea and Morality. The focus will also be on how Medea challenges traditional discourses of motherhood, constructed within male-dominated societal structures. The study will further discuss the ways in which she raises her voice in resistance, both as a local and as a refugee, within the spaces where she is either confined or expelled. The discussion will be framed within the context of the theory of social relations between the sexes highlighting the specific impact of women’s resistance and militancy in examining the mechanisms of sovereignty.
- MakaleAçık Erişim2025Scopus SJRQ1A Novel Secure S-box Design Methodology Based on FPGA and SHA-256 Hash Algorithm for Block Cipher Algorithms
Aydin, Yilmaz; Garipcan, Ali Murat; Özkaynak, Fatih
In this study, a novel robust design methodology that successfully meets the performance and security criteria for substitution-boxes (s-boxes), critical component in block cipher systems, is proposed. Unlike traditional methods providing low-level randomness, the proposed method utilizes physical true randomness as the entropy source, significantly improving the robustness and effectiveness of the s-box design. Phase noise (jitter) occurring on ring oscillators (ROs) is used for true randomness inputs with high security and unpredictability properties in the proposed method. The success of the proposed method is evaluated by considering key performance metrics of s-boxes such as bijectivity, strict avalanche criterion (SAC), bit independence criterion (BIC), nonlinearity (NL), and differential probability (DP). In the novel method, including the integration of the secure hashing algorithm (SHA)-256 hash function for cryptographic usage adequacy of the noise signal, 106.75 NL, 0.4995 SAC, and 105.7 average BIC-NL values can be obtained for s-boxes without any additional optimization process. Considering the low DP value, the analysis results confirm that the s-boxes produced by the proposed method can provide remarkable resistance against linear and differential cryptanalysis scenarios. Numerical findings also show that the proposed s-boxes are competitive and superior compared to other s-box designs in the literature. In conclusion, we believe that the methodology producing robust and reliable s-box solutions for block cipher systems contains important contributions inspiring future research regarding design principles.
AtıfScopus23WoS27OpenAlex20
İncele - MakaleAçık Erişim2025Scopus SJRQ2Geochronological and isotopic data from the adakitic Dodurga Pluton (Central Pontides, N Türkiye): new insights for the geodynamic evolution of the northern Neotethys
Çimen, Okay; Gücer, Mehmet Ali; Simonetti, Antonio; Karaoğlan, Fatih
The Dodurga Pluton is located within the Central Pontides (northern Türkiye), has a SW–NE elongation, and consists of granodiorite and dacite porphyry. Previous studies have suggested that this pluton is Triassic in age, and its whole-rock geochemical systematics is consistent with that from adakitic magmatic occurrences rather than the classic arc granitoid suite. This study reports for the first time in situ/whole-rock radiogenic isotopic (Sr, Nd, and Pb) and mica/amphibole Ar–Ar age data to evaluate better its petrogenetic/geodynamic evolution and the chemical nature of mantle source(s). Unlike previous data, combined new in situ zircon U–Pb yield Late Cretaceous crystallization ages of 84.2 ± 0.9 Ma and 86.9 ± 0.9 Ma, and the Ar–Ar age data along with apatite fission track measurements suggest magma cooling extending to 82.3 ± 0.4 Ma and 85.4 ± 0.4 Ma, respectively. The apatite fission track (AFT) dating results also reveal that this pluton was buried at a depth of 2.5–3 km following a fast-cooling period during the Late Cretaceous and cooled/exhumed over ~2 km during the Middle–Late Miocene (15–10 Ma) in a slow cooling phase. The overall data reported here suggest that the Dodurga Pluton represents melts derived from an enriched/metasomatized mantle source that interacted with lower crustal mafic rocks in an active continental margin as a result of northward subduction of the northern branch of the Neotethys Ocean.
- MakaleAçık Erişim2025Predicting shear strength in reinforced concrete deep beams through finite element modeling of diverse concrete materials
Polat, Erkan; Karaman, Gökhan
This study investigates the prediction of the strength of reinforced concrete deep beams, critical components in urban infrastructure, by evaluating their load-carrying capacities through finite element modeling and nonlinear inelastic analyses using LSDYNA software. Four widely used concrete material models were examined: Mat084/085, Mat159, Mat072R3, and Mat016. Analyses were conducted on two single-span and four double-span beams with varying reinforcement configurations and an aspect ratio of 1.0, based on well-documented experimental setups. Comparative analyses of force-displacement behavior and stress distributions revealed significant differences in shear strength predictions across the models, with Mat159 providing the most accurate results. These findings establish a reliable and cost-effective approach for predicting the capacities of deep beams, reducing reliance on extensive experimental testing. The study contributes valuable insights for improving strength predictions in critical infrastructure applications such as bridges and foundations.
AtıfScopus2TR Dizin2
İncele - MakaleAçık Erişim2025Scopus SJRQ1Muay Thai exercises improve quality of life, love of life and self-control
Şahin, Oktay; Yılmaz, Coşkun; Sezer, Süreyya Yonca; Şahin, Fatma Neşe; Ceylan, Levent; Çelikel, Baha Engin; Tan, Çetin; Akkuş Uçar, Mine; Kirikoğlu, Nagihan
Background: The existing research on Muay Thai sports has focused predominantly on the physiological effects of training, with limited attention devoted to the study of quality of life, love of life and self-control. The present study examined the effects of Muay Thai exercises on quality of life, love of life and self-control scores in healthy male subjects. Methods: The present study comprised 50 healthy sedentary male subjects. The subjects were randomly divided into two groups: one group engaged in Muay Thai training (MTT), while the other group served as a control group (CON). The sample sizes for the MTT and CON groups were both 25. The MTT group participated in basic Muay Thai training, while the CON group continued their normal life regime. The SF-12 quality of life scale, love of life scale and multidimensional self-control scale were administered before and after the six-week training period. Results: The study concluded that the six-week Muay Thai training program had a significant effect on quality of life levels, with 13.23% (p = 0.003) and 21.93% (p < 0.001) of participants demonstrating improvements in physical and mental scores, respectively. In terms of self-control levels, the program was found to have a significant effect on initiation and inhibition scores, with increases of 23.78% (p = 0.001) and 24.69% (p < 0.001), respectively. It was concluded that had a significant effect on the sub-dimensions of the Love of Life scale with increases of Positive Attitude Toward Life (PAWL) 18.63% (p < 0.001), Happy Results of the Love of Life (HRLL) 20.11% (p < 0.001) and Meaningfulness of Life (ML) 15.62% (p < 0.001), respectively. However, no significant differences were detected in any of the scales within the control group. Conclusion: Muay Thai exercises had a positive effect on quality of life, love of life and self-control levels in healthy male subjects. By providing valuable insights into how Muay Thai exercise affects quality of life, love of life, and self-control, this research can guide future intervention and program design in the context of sport psychology.
AtıfScopus7OpenAlex8
İncele - MakaleAçık Erişim2025Scopus SJRQ4INVESTIGATING AND PLANNING ECOTOURISM AREA FOCUSED ON FOREST VILLAGERS VIA THE ANALYTICAL HIERARCHY PROCESS
ESER, Nazlı; BİLİCİ, Ebru
Ecotourism has emerged as an alternative form of tourism that brings together urban dwellers and forest villagers, while also promoting the sustainability of forest resources. This study aimed to identify the key factors influencing ecotourism in forest villages and to determine the most suitable areas based on these factors. Giresun province served as the study area, where we collected data through interviews with stakeholders and industry professionals. The collected data were analysed using the SPSS23 program and the AHP analysis, which resulted in the identification of influential factors and the mapping of suitable ecotourism areas using ArcGIS 10.8. As a result of the Kolmogorov-Smirnov and Shapiro-Wilk tests, it was observed that the data showed a normal distribution and there was a significant relationship between the variables (p > 0,05). The findings from the interviews revealed that ecotourism can serve as a significant source of income and be pursued as a full-time occupation. Furthermore, it was determined that 50 forest villages in Giresun are situated within the most suitable ecotourism area. Based on the comprehensive analyses conducted, this study will establish an economically viable access road to the forest village, facilitating optimal land-use planning in the designated areas.
- MakaleAçık Erişim2025Scopus SJRQ2Ultrasonic-assisted high-speed micro-milling of Ti6Al4V
Mahmat, Aybars; Agar, Salih; Tosun, Nihat
In this study, the effects of different cooling techniques and process parameters on the performance characteristics of ultrasonic and conventional micro-milling (1-micron fixed amplitude, 20 and 30 kHz frequencies) of Ti6Al4V alloy were experimentally investigated. The impact of independent factors on tool life, cutting force, surface topography, surface roughness and cutting temperature was determined in order to find out machinability characteristics in this paper. Machining operations were performed under 20,000, 40,000 and 60,000 rpm revolution speed. The cutting depth and feed rate of the machining were kept fixed at 0.02 mm and 0.66 mm/s, respectively. Uncoated carbide and TiSiN-coated carbide cutting tools were used in machining operations. Dry machining and two different minimum quantity of lubrication (MQL) methods were used as cooling methods. According to the results achieved in the existing study, the ultrasonic micro-milling improved the surface roughness, reduced cutting forces, cutting zone temperature, and cutting tool wear. It was also found that MQL methods among other methods used in the present study have a greater effect on performance characteristics. As the spindle speed increased, the workpiece surface roughness, cutting force and tool life decreased, while the cutting zone temperature increased.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Evaluation of poly(lactic acid) films incorporated with lemon peel extract oil for food packaging materials
Ertekin, Özlem
The effects of Citrus lemon peel extract oil (CLPEO) at different ratios (0%, 0.5%, 1.0% and 2.0%) on poly lactic acid blend films were evaluated concerning some properties of the films in this study. The antimicrobial effect of these films was determined against Escherichia coli, Enterococcus faecalis, Salmonella typhimurium, Bacillus cereus and Staphylococcus aureus according to the parallel stick method. Antioxidant properties of Citrus lemon peel extract oil were investigated using DPPH (2,2-diphenyl-1-picrylhydrazyl) and TEAC (trolox equivalent antioxidant capacity) method. The inhibition of DPPH for Citrus lemon peel extract oil was found to be as (84%), (76%), (71%), and (62%) for CLPEO, PLA2, PLA1, PLA0.5, respectively. Antibacterial effect was detected at CLPEO and PLA2 films, with CLPEO being important as an environmentally friendly packaging material in terms of antibacterial, antioxidant activity, FT-IR, SEM, WVP, opacity and mechanical properties.
- MakaleAçık Erişim2025Scopus SJRQ3Optimization of rare earth elements recovery from Kızıldag (Karaman-Türkiye) shale ore using response surface methodology
Uysal, Turan; Ünal, Ceren Erust; Akça, Muhammet Esat; Sis, Hikmet; Erdemoğlu, Murat
In this study, the usability of bauxite-related shale ore, rich in Rare Earth Elements (REEs), to produce REEs, which have high added value and critical importance, was investigated. In this context, Kızıldag (Karaman-Türkiye) shale ore, was prepared for tests through size reduction and sampling processes. HCl leaching was performed at different acid concentrations, leaching times, leaching temperatures, and liquid/solid ratios to determine the optimum leaching conditions for the milled ore. The modeling and optimization parameters related to leaching recovery were investigated using the response surface method (RSM). The results were evaluated using analysis of variance, three-dimensional graphs were drawn, and the accuracy of the models was discussed. Accordingly, optimum values were found, and the REE leaching recovery corresponding to these optimum values was 49.13%. It was concluded that the optimization results were compatible with the experimental results, and the average error rate (6.35%) was low.
AtıfScopus3OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ1Incorporating the HPLC-ESI-Q-TOF-MS profiles with the biochemical properties of eight Salvia species
Llorent-Martínez, Eulogio J.; Nilofar; Sinan, Kouadio Ibrahime; Darendelioglu, Ekrem; Bahsi, Muammer; Polat, Rıdvan; Cakilcioglu, Ugur; Orlando, Giustino; Ferrante, Claudio; Zengin, Gokhan
Salvia, a widely recognized genus globally esteemed for its traditional and medicinal applications, prompted our investigation into the methanol and water extracts of eight Salvia species native to Turkey. These species included S. aucheri, S. candidissima, S. divaricata, S. virgata, S. multicaulis, S. palestina, S. trichoclada, and S. cerino-pruinosa. Our study aimed to assess their biological properties and chemical composition. Utilizing HPLC-ESI-Q-TOF-MS, we identified chemical constituents in the extracts, while antioxidant (radical quenching, reducing power, and metal chelating) and enzyme inhibitory (amylase, glucosidase, tyrosinase, and cholinesterase) activities were evaluated for biological activities. One hundred thirty-one compounds were characterized in the tested extracts. Although many compounds belonging to different chemical families were identified, the main compounds in all the extracts were rosmarinic and sagerinic acids, along with several salvianolic acid isomers. Notably, the methanol extracts displayed superior antioxidant properties overall, with S. cerino-pruinosa exhibiting the highest activity among them, except for metal chelating. Similar to the antioxidant test results, the methanol extracts were more active than the water extracts in the enzyme inhibition tests. Multivariate analysis further highlighted the distinctiveness of the water extract of S. cerino-pruinosa. In conclusion, our findings underscore the biopharmaceutical potential of the tested Salvia species, suggesting their significance as sources of bioactive agents for health-promoting applications.
AtıfScopus17OpenAlex15İncele - MakaleAçık Erişim2025Scopus SJRQ2Farm-Raised Versus Wild Caught Fish: Which is Better?
Can, Erkan; Özçiçek, Esin; Erol, Nida Demirtaş; Austin, Brian
There has been much discussion about which is better, farmed (= aquaculture) or wild-caught fish (= capture-fisheries), with supporters and opponents of both approaches. On balance, aquaculture should be the better option because of the ability to control all aspects of production. The result is that farmed products are often cheaper than wild-caught equivalents. However, there are negative aspects to aquaculture, including habitat destruction, for example the removal of mangroves for the construction of shrimp farms, the effect of escapees on native fish populations, and the possible negative impact of pollution from organic material, pathogens and antimicrobial compounds. The use of wild-caught “trash” fish as a source of protein and oil for the diets of carnivorous fish species in aquaculture is unsustainable. In contrast with wild-caught fish, there is greater variability in supply because of overfishing, quotas imposed by governments, and the effects of adverse weather. Moreover, fishing in distant waters is expensive and hazardous. Certainly, the quality of the product is more difficult to control because the history of the catch is largely unknown. However, there are concerns about illegal fishing activities, and the capture of undersized specimens which impacts negatively on future stocking levels. For the forseeable future, there will be roles for both aquaculture and capture-fisheries to meet the increasing global demand for aquatic food.
AtıfScopus5WoS5OpenAlex5İncele - BildiriAçık Erişim2025Investigation of Mechanical Properties of Hot Mix Asphalt Modified with Elvaloy and Polyphosphoric Acid
Yilmaz, Mehmet; Yalcin, Beyza Furtana; El Naggar, H.; Barros, J.; Cachim, P.
In order for the bituminous hot mix layers to resist the increased traffic load and volume as well as the adverse environmental conditions for a long time without being deformed, the bituminous binder used in the mixture has been commonly modified with the Styrene-Butadiene-Styrene (SBS) polymer. The high demand for SBS makes it difficult to supply and therefore brings on the use of alternative additives. In this study, the combined use of Elvaloy and phosphoric acid (PPA) was investigated. Additionally, the effects on the mechanical properties of bituminous mixtures were examined. Modified binders were prepared using Elvaloy/PPA additives mixed under specified conditions. Hot mix asphalt (HMA) samples prepared with these binders were subjected to Marshall stability and flow, indirect tensile stiffness modulus, and indirect tensile fatigue tests to comprehensively evaluate the effects of modified bi nders on the mechanical properties of bituminous hot mixtures. As a result, the bituminous hot mix tests revealed that asphalt mixtures improved their mechanical properties at the specified ratios.
- MakaleAçık Erişim2025Scopus SJRQ2Dual-effect of Holmium(III) oxide and Boron Carbide reinforcement on physical, microstructural evolution and gamma-ray shielding performance of 316L-SS
Yayla, Nihal; Albayrak, M. Gökhan; Güler, Ömer; Almisned, Ghada; Sen Baykal, Duygu; Alkarrani, Hessa; Kilic, Gokhan; Tekin, Huseyin Ozan
This study provides one of the first comprehensive evaluations of 316L stainless steel composites reinforced with 10 wt.% B4C and varying concentrations of Ho2O3, proposing a new compositional design for simultaneous structural enhancement and dual gamma-neutron shielding optimization. XRD analysis confirmed the predominance of the austenitic phase with minor martensitic peaks at higher Ho2O3levels. SEM and EDX results revealed uniform dispersion and improved densification with increasing oxide content. The 316L-B4C-20%Ho2O3composite exhibited the highest mass attenuation coefficient (0.8953 cm2/g) and linear attenuation coefficient (6.73 cm−1) at 0.1 MeV, demonstrating superior gamma-ray shielding capability. The effective electron density increased from 2.86 × 1023to 5.82 × 1023electrons/cm³, while the energy absorption buildup factor (EABF) showed a consistent decrease with higher oxide concentrations. Although a slight reduction in fast neutron removal cross-section was observed, the composite maintained satisfactory neutron attenuation performance. Overall, the findings indicate that the 316L-B4C-20%Ho2O3system offers a promising balance between structural stability and dual radiation protection, making it a strong candidate for next-generation nuclear shielding materials.
AtıfScopus1İncele - BildiriAçık Erişim2025Deep Learning-Based Approaches for Short-Term Residential Electricity Consumption Prediction: A Comparative Study of LSTM, CNN-LSTM, and CNN-GRU Models
Gunay, Mihriban; Yildirim, Ozal; Demir, Yakup; Benedicenti, L.; Liu, Z.
The rapid increase in the world population has increased electricity consumption and demand for electricity. In order for electricity distribution companies to determine electricity demand, household electricity consumption must be predicted. In this study, an open access dataset was used to predict individual household electricity consumption. For this purpose, deep learning-based LSTM, CNN-LSTM and CNN-GRU models were developed and a comparative analysis was performed. The performance of the models was evaluated using four evaluation metrics commonly used in prediction model performance evaluation. According to the results obtained, it was seen that the models used in the study were successful in predicting short-term electricity consumption. In particular, the CNNLSTM model was found to have a lower error rate compared to the other two models.
- MakaleAçık Erişim2025Scopus SJRQ1Evaluation of the seismic response of reinforced concrete buildings in the light of lessons learned from the February 6, 2023, Kahramanmaraş, Türkiye earthquake sequences
Yön, Burak; Dedeoğlu, İbrahim Özgür; Yetkin, Musa; Erkek, Hakan; Calayır, Yusuf
On 6 February 2023, two significant seismic events occurred in the southeastern region of Türkiye. The seismic activity, which was perceptible in numerous countries beyond Türkiye, resulted in a considerable number of fatalities. A considerable number of individuals lost their lives and were rendered homeless as a result of the disaster. Two of the most significant factors contributing to the occurrence of these tragedies are the magnitude of the earthquake and structural deficiencies. The present study is concerned with a detailed analysis of these two factors. This study initially considers the seismicity of the region where the earthquakes that occurred on 6 February 2023 took place, as well as the seismic characteristics of these earthquakes. Subsequently, the findings of the field studies conducted in Hatay, Adıyaman, Kahramanmaraş and Malatya, the cities where the earthquakes caused the most destruction, are presented. The objective of the field study is to ascertain the collapse patterns, structural damages and the factors influencing these damages in reinforced concrete structures in the region. The primary causes of damage to structures can be attributed to several factors, including the presence of a strong beam-weak column mechanism, the soft story-weak story mechanism, the pounding effect, the short column damage, the long cantilever and overhangs, the short beam damage, the buckling damage, the torsion effect, the quality of the materials, the insufficient transverse reinforcement, the compressive failure due to over-reinforcement, the corrosion effect, the damage to reinforced concrete shear walls, the infill wall damage, and the damage caused by the soil and foundation system. These causes have been evaluated and recommendations have been formulated to prevent structural damage.
AtıfScopus55WoS50OpenAlex61İncele - MakaleAçık Erişim2025Scopus SJRQ1Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches
Yilmaz, Mehmet; Yalcin, Erkut; Demir, Fatih; Ozdemir, Ahmet Munir; Atar, Muhammed; Gunes, Aysegul; Furtana Yalcin, Beyza; Cambay, Ertugrul
This study develops a deep learning-based automated system for detecting and segmenting earthquake-induced asphalt cracks, offering a rapid and reliable solution for post-disaster road condition assessments. Unlike traditional manual inspections, which are time-consuming and error-prone, our approach leverages advanced segmentation techniques to ensure accurate, pixel-level classification of various crack types. The main challenge of this study was determining the damage caused to highways by earthquakes with magnitudes greater than 7.0, which occur approximately once every 200 years. The most crucial step in the automatic detection of these damages is the reliable preparation of a high-accuracy dataset. To achieve this, pixel-based labels were created by experts in the construction field by analyzing each pixel value. Following two major earthquakes, a unique dataset for segmenting roadway deterioration was created through intensive and detailed studies. This study aims to present the performance results of popular deep learning-based segmentation models in an unbiased manner, providing a feasible infrastructure for future real-time applications. The innovative aspect of this research lies in the creation of a unique post-earthquake dataset, collected and labeled from highways affected by the February 6, 2023 earthquakes in Turkey (Mw = 7.7 and Mw = 7.6). Deep learning models, including SegNet, Attention SegNet, U-Net, FCN (8s), and DeepLab, were trained and tested on this dataset. Among these, the SegNet model achieved the best performance with an average accuracy of 86.72%, precision of 92.99%, and sensitivity of 78.45%. By demonstrating superior performance metrics compared to existing methods, this study provides a robust framework for future infrastructure monitoring and maintenance strategies, ensuring safer and more resilient transportation networks in disaster-prone regions.
AtıfScopus6OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Forecasting daily natural gas consumption with regression, time series and machine learning based methods
Yucesan, Melih; Pekel, Engin; Celik, Erkan; Gul, Muhammet; Serin, Faruk
An effective short-term natural gas forecasting method contributes to social contributions and allows industrial chain elements to function effectively and minimize economic losses. We dealt with a comparative framework on the applicability of different methods in daily natural gas service (NGS) consumption forecasting. In this context, time series, machine learning, evolutionary and population-based approaches, and their hybrid versions are applied to the NGS data. Hybridized approaches are tested in the scope of NGS consumption forecasting for the first time in the literature in this study. The case of Turkey is handled, and its NGS data is used to demonstrate the comparative framework’s applicability. The comparative study is assessed in the lights of common forecasting accuracy measures of mean absolute percentage error (MAPE), R-squared (R2), and mean squared error (MSE). According to each method’s results, the seasonal autoregressive integrated moving average with exogenous regressors (SARIMAX) and artificial neural network (ANN) hybrid model provides the most dominant performance with respect to MAPE. The lowest error was obtained with a MAPE value of 0.357 in this hybrid model constructed under seven neurons in its ANN structure. This model is followed by another hybrid model, autoregressive integrated moving average (ARIMA)-ANN, with a MAPE value of 0.5 under nine neurons in terms of accuracy performance. The worst performance value belongs to the Genetic algorithm-ANN hybrid model with a MAPE value of approximately 26%.
AtıfScopus16WoS19OpenAlex22İncele - BildiriAçık Erişim2025Health Status Classification of Electric Motors Using CNN-Based Models and SDP Images Under Varying Noise Conditions
Ertarğın, Merve; Yordanov, Nikolay; Zhilevski, Marin; Benedicenti, L.; Liu, Z.
The increasing application of electric motors across various industrial sectors requires effective monitoring and early diagnostics to prevent potential failures. This study explores the use of Convolutional Neural Network (CNN)-based models together with Symmetrized Dot Pattern (SDP) sound representations for classifying the health status of electric motors under different noise conditions. Acoustic data from a brushless DC motor were transformed into SDP images, which were then used to train CNN models. The dataset included recordings of motors in “Good”, “Broken” and “Heavy Load” conditions, captured under various noise environments such as pure, talking, white noise, atmospheric, and stress test conditions. The classification tasks were conducted under three conditions: assessing motor health status, evaluating both motor health status and noise types, and excluding the stress test noise type for a balanced dataset. The results demonstrated that the CNN models achieved high accuracy rates in classifying motor health status, with the Custom CNN model performing best in simpler tasks and MobileNet excelling in more complex scenarios. The study highlights the feasibility of using SDP images with CNN-based models for fault classification in motors and suggests future research directions for improving classification accuracy through advanced feature extraction techniques and multimodal data representations.
AtıfScopus1İncele - MakaleAçık Erişim2025Scopus SJRQ4Protective effect of Momordica charantia against Hepatorenal toxicity induced by Potassium bromate (KBrO3) in rats; [Efecto protector de Momordica charantia contra la toxicidad hepatorrenal inducida por el bromato de potasio (KBrO3) en ratas]
Karagözoğlu, Fatma; Uyar, Ahmet; Akkoyun, Hurrem Turan; Altun, Serdar; Akkoyun, Mahire Bayramoğlu; Aydin, Sevinç; Melek, Sule; Bengü, Aydın Şükrü; Ekin, Suat; Bakir, Ahmet
This study aims to evaluate the effects of Momordica charantia on hepatorenal toxicity caused by potassium bromate (KBrO3) in rats. Wistar rats were divided into 4 groups as control, KBrO3, bitter melon (MC), and KBrO3+MC. Examining the antioxidant enzyme grade of the kidney tissues, it was found that the enzyme activities of catalase (CAT) (P<0.05), glutathione peroxidase (GSH–Px) (P<0.01), and superoxide dismutase (SOD) (P<0.01) decreased in the KBrO3 group in comparison to the control. There was a significant decrease (P<0.001) in glutathione (GSH) levels and an increase (P<0.01) in malondialdehyde (MDA) level in the KBrO3 group in comparison to the control. Examining the antioxidant enzyme activities in liver tissue, it was determined that CAT, GSH–Px, and SOD enzymes reduced significantly (P<0.05, P<0.01, and P<0.001, respectively) in the KBrO3 group in comparison to the control, and the enzyme activity of decreased CAT, GSH–Px, and SOD enzymes significantly elevated (P<0.01) in the MC group. There was a reduction in GSH level in the KBrO3 group in comparison to the control (P<0.01), while an increase was recorded in the KBrO3+MC group (P<0.05). MDA level in liver tissue increased in KBrO3 group in comparison to the control (P<0.01) and MC decreased the MDA level. Histopathological analysis results indicate severe degenerative and necrotic lesions in hepatorenal histoarchitecture of KBrO3 rats in comparison to the control. However, application of MC+KBrO3 significantly reduced the induced hepatorenal injury with a concomitant increase in histopathological lesions. From the immunohistochemical aspect, MC revealed apoptosis concomitant with the suppression of necrosis in the KBrO3-treated rats as demonstrated by the caspase-3 activity.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1The effect of 12 weeks of basic soccer training on violence tendency, psychological resilience, social anxiety in 12–14 years old children
Özcan, Büşra; Çelikel, Baha Engin; Erdoǧan, Ramazan; Karadaǧ, Mustafa; Aydoǧdu, Volkan; Uǧurlu, Fatih Mehmet; Bozkurt, Eyüp; Turan, Mehmet; Koçal, Meryem; Orhan, Serdar
Background: Regular exercise during childhood impacts not only physical development but also emotional stability, social adaptation, and behavioral control. Therefore, the present study aimed to examine the effects of a 12-week introductory football training programme on violent tendencies, psychological resilience, and social appearance anxiety in children aged 12–14. Methods: A randomized controlled design was used, with 40 children assigned to an experimental group (n = 20) or a control group (n = 20). The experimental group completed 60-min football sessions three times a week, while the control group did not participate in structured activity. The program included a 20-min warm-up, technical and tactical exercises, game-based activities, and a cool-down, targeting physical, technical, tactical, and psychosocial development. Data were collected using the VTS, PRS, and SAAS scales.Statistical analyses were performed using SPSS version 25 (IBM Corp., Armonk, NY, USA), with mixed-design ANOVA, significance set at p < 0.05, and effect sizes reported as partial eta-squared (ηp2). Results: No significant difference was observed in violence tendency scores in the experimental group (p = 0.939). However, a decrease was observed in psychological resilience scores in comparison to pre-test values, and this decrease approached the threshold of significance with a medium effect size (p = 0.153, ηp2 = 0.053). This finding suggests that the intervention may have a limited effect on psychological resilience. While no significant change was detected in the social appearance anxiety variable in the experimental group (p = 0.120), a significant decrease in anxiety levels was observed in the control group (p = 0.029). This finding suggests that factors other than the experimental intervention may have been effective in the control group. Conclusions: In conclusion, the 12-week football training programme demonstrated no significant short-term effect on violent tendencies or social appearance concerns, but may have a temporary effect on psychological resilience. The findings indicate that the impact of sports participation on psychosocial development in children is multifaceted and contingent on individual differences.
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