Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(110)
- Güler, Ömer(70)
- Akkurt, Nevzat(69)
- Serdar, Osman(57)
- Yucesan, Melih(55)
- Celik, Erkan(53)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Bulut, Hasan(49)
- Baskonus, Haci Mehmet(48)
- Paksoy, Mehmet Yavuz(46)
- Yildirim, Numan(45)
- Kocabaş, Mehmet(41)
- Yildirim, Nuran Cikcikoglu(41)
- Zengin, Gokhan(40)
- Alataş, Mevlüt(39)
- Ince, Muharrem(38)
- Benzer, Fulya(37)
- Mete, Suleyman(34)
- Aslan, Naim(33)
- Kutlu, Banu(33)
- Yildirim, Ozal(33)
- Topal, Murat(32)
- Tanyol, Mehtap(30)
- Batan, Nevzat(28)
- Özkul, İskender(28)
- Kök, Mediha(27)
- Utku, Anıl(27)
- Can, Erkan(26)
- Danabas, Durali(26)
- Sulaiman, Tukur Abdulkadir(26)
- Ates, Mehmet(25)
- Ezer, Tülay(25)
- Guler, Omer(25)
- Kutluyer, Filiz(25)
- Say, Yakup(25)
- Serin, Faruk(25)
- Erguven, Gokhan Onder(24)
- Onat, Onur(24)
- Cakilcioglu, Ugur(23)
Yayınlar
- MakaleYalnız künye2025Scopus SJRQ2Highly sensitive DNA-based electrochemical biosensor for analysis of oseltamivir used in treatment of COVID–19
Keçeci, Ali; Koçak, Berna; İpek, Yeliz
Promising clinical results were obtained in the treatment of coronavirus disease by using favipiravir, umifenovir, remdesivir, ribavirin, lopinavir–ritonavir, oseltamivir, etc., antiviral drug active agents. In this study, quantitative analysis of oseltamivir neuraminidase inhibitor was carried out using electrochemical techniques. DNA-based electrochemical biosensors are generally used for analysis of anticancer and antitumor medicines. The present study introduces a novel DNA-based electrochemical sensor for neuraminidase inhibitor drug oseltamivir. The developed sensor enables the analysis of oseltamivir in a more environmentally friendly, more economical and faster way. It can be used in quality control laboratories in tablet production and will provide traceability of the drug in drug development studies and analysis in urine samples. For this purpose, a modified glassy carbon electrode was used as a working electrode. The glassy carbon electrodes alone cannot detect the oseltamivir. Guanine base, which was determined to interact with oseltamivir and found in the deoxyribonucleic acid structure, was used as an electrochemical biosensor agent. The guanine base was immobilized on glassy carbon electrode using glutardialdehyde as a crosslinker material and GA2–Guanine/GCE electrode was achieved. Two working ranges were determined for the Britton-Robinson buffer solution, tablet sample, and urine sample containing oseltamivir. The lowest detection limits (LODs) were calculated as 7.16 × 10−9 mol L−1, 9.05 × 10−9 mol L−1 and 6.19 × 10−6 mol L−1 for Britton-Robinson buffer solution, tablet sample solution, and urine sample solution, respectively. The recovery ratio for the proposed sensor ranged between 86.6 and 103.5%.
AtıfScopus3WoS3OpenAlex3
İncele - MakaleAçık Erişim2025Scopus SJRQ2Modeling and analysis of WEDM with a new deep neural network
Mahmat, Aybars; Dogan, Gurkan; Ergen, Burhan; Tosun, Nihat
In some cases, the models targeted in machining processes are difficult to apply to industrial production. Artificial intelligence techniques applied to industrial production methods in recent times eliminate these problems in machining. The use of deep learning methods in solving these problems has recently increased. In this study, a new deep neural network (DNN) based on artificial neural networks is proposed to model the machining of AISI4140 steel by wire electrical discharge machining (WEDM). The proposed DNN model predicts surface roughness (SR) and wire wear ratio (WWR), which are the most important inferences in cutting with WEDM. Obtaining inferences such as SR and WWR in a real experimental environment means a lot of time and cost. With the proposed model, there is a significant reduction in time and cost factors. The dataset used to train and test the proposed model was obtained from the real experimental environment. For training and testing the model, the data set is divided into two parts: 20% test data and 80% training data. In the experimental tests carried out with the proposed model, error rates such as Mean Absolute Error (MAE), R2, and Mean Squared Error (MSE) accuracy rate between SR and WWR values estimated according to the SR and WWR values obtained from the real environment were examined. MAE, MSE, and R2 for SR reached 0.0495, 0.0005, and 98.48%, respectively, while MAE, MSE, and R2 for WWR reached 0.0156, 0.0036, and 98.39%, respectively. These results of the proposed model provided a lower error rate and higher accuracy than the state-of-the-art models in the literature.
AtıfScopus5WoS5OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ2HASK-Net: new hybrid attention selective kernel network for automatic colon cancer detection from colonoscopy images
Imak, Andaç; Doğan, Gürkan; Sengur, Abdulkadir; Ergen, Burhan
Colorectal cancer is a frequently analyzed cancer type seen today. It is the third leading of cancer in terms of incidence. It is among the second leading cases resulting in death. However, when detecting pre-cancerous polyps using traditional methods, the rate of being overlooked is high. Therefore, the rate of missed polyps can be greatly reduced with deep learning-based computer-aided diagnosis (CADx) methods. In this study, a novel convolutional neural network based on CADx, called HASK-Net, is proposed for automatic polyp detection. While HASK-Net uses ResNet50 as a feature extractor in the encoder network, the novely designed hybrid attention selective kernel convolution uses it in the decoder network to increase the representation power in feature maps and learn more complex features. In experimental results on the publicly available Hiper-Kvasir and EndoTech 2020 benchmark datasets, HASK-Net showed extremely promising performance with a dice similarity score of 97.02% and 84.83% and an mIoU score of 95.38% and 84.32%, respectively.
- MakaleYalnız künye2025Scopus SJRQ2Experimental comparison of conventional and ultrasonic-assisted high-speed drilling of glass fiber reinforced epoxy composites
Ağar, Salih; Mahmat, Aybars; Doğan, Akar
Glass fiber reinforced epoxy composites are favored in several industries, including automotive and aerospace, owing to their superior strength-to-weight ratio. Drilling is a prevalent machining procedure employed to add fasteners for laminate assembly. Nonetheless, drilling these composites presents significant challenges due to the abrasive characteristics of the reinforcement, necessitating an examination of machining performance. During the drilling of composites, cutting temperature, thrust force, and delamination damage are primary concerns. In recent years, high-speed ultrasonic drilling, an innovative machining technique designed to address these challenges, has garnered significant interest. This investigation involved high-speed ultrasonic drilling and conventional drilling of glass fiber reinforced epoxy material. In the studies, optimal conditions were studied by evaluating thrust force, cutting temperature, and delamination damage by varying speeds, feed rates, and frequencies. The thrust force was 11 N in the traditional approach at 40,000 rpm, but it was recorded at 9 N with the ultrasonic method. Moreover, with ultrasonic drilling, cutting temperatures decreased by over 25% relative to traditional drilling, attributable to the harmonic motion that dissipates heat in the drilling zone. Analysis of the drilling region revealed a notable enhancement in damage, particularly in delamination, with the application of ultrasonic drilling. The experimental results indicate that ultrasonic machining enhances machining performance.
- MakaleAçık Erişim2025Scopus SJRQ2Multiscale Time Series Modeling in Energy Demand Prediction: A CWT-Aided Hybrid Model
Sezer, Elif; Yıldırım, Güngör; Özdemir, Mahmut Temel
In the contemporary energy landscape, the increasing demand for electricity and the inherent uncertainties associated with the integration of renewable resources have rendered the accurate and reliable forecasting of short- and long-term demand imperative. Energy demand forecasting, fundamentally a time series problem, can be inherently complex, nonlinear, and multi-scale. Therefore, interest in artificial intelligence–based methods that provide high performance for short- and long-term forecasting, rather than traditional methods, has increased in order to solve these problems. In this study, a hybrid artificial intelligence model based on LSTM, GRU, and Random Forest, utilizing a distinct mechanism to address these types of problems, is proposed. The Multi-Scale Sliding Window (MSSW) approach was utilized for the model’s input data to capture the dynamics of the time series at different scales. The optimization of windows was conducted using the Continuous Wavelet Transform (CWT) method to determine the optimal window sizes within the MSSW structure in a data-driven manner. Experimental studies on Panama’s real energy demand data from 2015 to 2020 show that the CWT-aided MSSW-hybrid model forecasts better with lower error rates (0.007 MAE, 0.009 RMSE, 1.051% MAPE) than single models and manually determined window sizes. The results of the study demonstrate the importance of hybrid structures and window optimization in energy demand forecasting.
AtıfScopus1OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1Effect of Amount of Guidance in Inquiry-Based Physics Laboratory on Conceptual Understanding and Metacognitive Awareness
Peşman, Haki; Arı, Üzeyir; Cirit, Didem Karakaya; Ayazgök, Büşra
This study explores the influences of verification and guided inquiry-based physics laboratories on preservice science teachers’ conceptual understanding of and misconceptions about simple electric circuits and their metacognitive awareness. In other words, the impact of the amount of guidance in inquiry teaching is being explored. There were two groups: (1) the experimental group, where the guided inquiry was implemented, and (2) the control group, where the verification style inquiry was implemented. The experiment was a true-experimental design because 55 pre-service science teachers were randomly assigned to the groups. This study used two pretest and posttest instruments: (1) Simple Electric Circuit Diagnostic Test (SECDT) with 11 items and (2) Metacognitive Awareness Inventory (MAI) with 52 items. The SECDT is a three-tier test to assess conceptual understanding and misconceptions of students about simple electric circuits, while the MAI assesses the metacognitive awareness of adults. The authors utilized a doubly multivariate repeated measures design, a multivariate test statistic for repeated measures, for analyzing the data. As a result, this study presents evidence of the positive effect of a guided inquiry-based physics laboratory concerning the verification-based one on preservice science teachers’ conceptual understanding of simple electric circuits and their metacognitive awareness and presents conclusions based on the discussion.
AtıfScopus2WoS2OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ2Innovative nonlinear component generator inspired by squirrel search algorithm
Artuğer, Fırat
The most used approach for data encryption is block cipher. One of the most important structures for block cipher algorithms is undoubtedly s-boxes. The s-box structure used in the AES algorithm contains 256 values. Therefore, obtaining powerful s-boxes is a rather difficult search problem. Because the search space is very large (256!). In this study, a new method based on squirrel search algorithm (SSA) is proposed to overcome this problem. The proposed method is displacement-based. In an s-box taken at the entrance, stronger s-box structures are sought by changing the location of the elements. The most important innovation in this study is that the elements to be displaced in the s-box were selected with the positioning states of the SSA. The chaotic Gompertz map was used for the initial population. Four different s-boxes were produced with the method developed thanks to the effective positioning states of SSA. As the fitness function, the nonlinearity value, which is the most important evaluation criterion of an s-box structure, was used. The proposed four s-box structures increased up to 110 nonlinearity values after only 4500 iterations. Here, it has been shown that the algorithm can be effective in all s-boxes by generating four different s-boxes. Considering these results, it has been determined that the proposed method gives more effective results than most methods in the literature.
AtıfScopus1WoS1OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1Green Synthesis of Multi-Walled Carbon Nanotube-Reinforced Hydroxyapatite Doped with Silver and Silver-Core Selenium-Shell Nanoparticles: Synthesis, Characterization, and Biological Activity
Unal, İlkay
Hydroxyapatite (HAp) is widely used in biomedical applications due to its biocompatibility, osteoconductivity, and bioactivity. However, its low mechanical strength, tendency toward rapid corrosion, and lack of bactericidal properties present significant limitations in applications. This study aimed to improve the properties of HAp by reinforcing it with multi-walled carbon nanotubes (MWCNTs) and doping it with silver nanoparticles (AgNPs) and silver-core selenium-shell nanoparticles (Ag@SeNPs). Ocimum basilicum extract was used as both a reducing and stabilizing agent in the synthesis of nanoparticles using an environmentally friendly and non-toxic method as an alternative to traditional methods. The synthesized HAp, HAp/MWCNT, Ag-HAp/MWCNT, and Ag@Se-HAp/MWCNT nanocomposites were characterized by TEM, SEM, XRD, Raman spectroscopy, and BET analysis. BET analysis showed a reduction in surface area from 109.4 m2/g for pure HAp to 71.4 m2/g, 47.5 m2/g, and 35.3 m2/g for HAp/MWCNTs, Ag- HAp/MWCNTs, and Ag@Se-HAp/MWCNTs, respectively. Antimicrobial activities against P. aeruginosa, E. coli, S. aureus, E. faecalis, and C. albicans were evaluated. HAp and HAp/MWCNT did not show any antimicrobial activity, while Ag-HAp/MWCNTs showed inhibition zones of 14 mm for Escherichia coli and 18 mm for Pseudomonas aeruginosa at 5 mg/mL. Ag@Se-MWCNTs/HAp exhibited superior efficacy with inhibition zones of 18 mm, 12 mm, and 20 mm for S. aureus, E. faecalis, and Candida albicans, respectively. The incorporation of Ag@SeNPs enhanced HAp’s antibacterial and antifungal properties through a synergistic mechanism.
AtıfScopus12WoS10OpenAlex12
İncele - MakaleAçık Erişim2025Scopus SJRQ4EVALUATION OF IMPLEMENTATION STRATEGIES IN THE CONTEXT OF ZERO-WASTE CITY AND CIRCULAR ECONOMY CONCEPT
Derse, Onur; Polat, Elifcan Göçmen
In recent years, there is a growing interest for waste systems in many countries around the world due to inevitable consequences of major environmental concerns. Urbanization, consumption styles, rapid developments of technologies have increased the consumption inevitably brings about the waste generation, which significantly poses risks to the environment. Although most papers have focused on waste management problems, there is a great gap of evaluation of implementation strategies for the zero-waste city and circular economy concepts. The goal “zero-waste” is strategically achieved with enriched engineering methods including all stakeholders to overcome the challenging waste issues. In this context, this study presents a systematic approach of implementing the policies and strategies focused on the most essential dimensions analysis associated with zero-waste and circular economy based on the PESTEL (political, economic, social, technological, environmental, and legal). In the study, Best-Worst Method (BWM) is first provided to evaluate a range of zero-waste implementation strategies which are essential for planners and policymakers. In addition, computational results are compared with the Stepwise Weight Assessment Ratio Analysis (SWARA), and the Fuzzy Analytical Hierarchy Process (F-AHP) methods to validate the results, and the results of the methods were found to be consistent. Environmental, economic and technological dimensions were obtained as the most influential strategies. According to the results of BWM and Fuzzy AHP methods, the four most important sub-strategies are S16 (Implementing a closed loop chain), S13 (Promoting sustainability), S5 (Investing in waste management infrastructure) and S12 (Green energy technologies). It is seen that these strategies are mostly environmental. According to the SWARA method, the most important sub-strategies under the economic dimension are S5, S4 (Providing economic incentives), and S6 (Development of green finance initiatives). The findings should also encourage the practitioners and researchers, as the detailed evaluation of strategies in terms of the zero-waste and circular economy provides a database to transform current cities into zero waste cities.
AtıfScopus3WoS1OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ3New Record of Two Dreissenid Species (Dreissena polymorpha gallandi and Dreissena caputlacus) in Kelkit Basin (NE Anatolia): Evaluation of Morphological Divergence Based on Altitude Using Statistical Tools
Kocabaş, Mehmet; Bozali, Nuri; Kocabaş, Filiz Kutluyer; Kara, Cemil; Gürlek, Mustafa Emre
Abstract: Non-indigenous species in an ecosystem increase the potential of novel ecological relationships and can dramatically affect community composition and ecosystem roles. This study examined the spatial distribution of Dreissena caputlacus and Dreissena polymorpha gallandi within the Kelkit Basin located in Northeastern Anatolia. A total of 75 sampling locations representing various habitats were surveyed in the Kelkit Basin. The presence of D. p. gallandi and D. caputlacus was identified for the first time in the basin. The effects of altitude on the population structure, geographic distribution, and shell traits of D. p. gallandi and D. caputlacus were also assessed in a range of ecosystems. The highest shell length (SL) for D. caputlacus was recorded at 566 m altitude with values of 25.58 ± 5.80 mm while the highest SL value for D. p. gallandi was 24.15 ± 5.13 mm at 610 m altitude. Principal Component Analysis (PCA) revealed a strong association among shell length (SL), shell height (SH), shell width (SW), and weight (W). In conclusion, the diverse altitudinal distribution of samples strengthened the evidence that shell features differ with changes in altitude.
- MakaleYalnız künye2025Scopus SJRQ3The Epiphytic Bryophyte Vegetation of the Karçal Mountains (Artvin, Türkiye)
Batan, Nevzat; Özcan, Osman; Ezer, Tülay; Erata, Hüseyin; Alataş, Mevlüt
Abstract: In this study, the epiphytic bryophyte vegetation of the Karçal Mountains (Artvin) in the Caucasus Region was investigated. Relevés collected from living tree trunks during various vegetation periods in 2022 were analyzed using the Braun-Blanquet method and multivariate analysis techniques. As a result, Anomodontetum attenuati-Ulotetosum crispae subass. nov. was described and characterised as a new epiphytic syntaxa. In addition, Orthotrichetum rupestris, Orthotrichetum speciosi, Uloto crispae-Orthotrichetum striati, and Anomodonto viticulosi-Leucodontetum sciuroidis-Anomodontetosum attenuati were determined for the first time in Türkiye. All syntaxa were presented by analyzing them in terms of their ecological and floristical classifications.
AtıfScopus1İncele - MakaleAçık Erişim2025Scopus SJRQ1The effect of motivational interviewing on healthy lifestyle behaviors and quality of life in on menopausal women: a pilot randomized controlled trial
Orhan, İlksen; Yağmur, Yurdagül
Background: This study aims to determine the effect of motivational interviewing (MI), an effective communication technique, on healthy lifestyle behaviors and quality of life in menopausal women. Methods: This is a randomized controlled empirical study. The study was conducted with a total of 136 women, including 68 for experimental group and 68 for control group. The data were collected using an introductory information form, the Health Promoting Lifestyle Profile II (HPLPL II) and the Menopause-Specific Quality of Life (MENQOL). Women in the experimental group received 6 sessions of motivational interviewing and 2 follow-up interviews in two family health centers (FHCs) from the researcher. No intervention was applied to women in the control group. The data were analyzed using number, percentage, mean, standard deviation, chi-square test, Bonferroni test, independent samples t test and repeated ANOVA. Results: There was a statistically significant difference between the HPLPL II total scale and health responsibility, nutrition, spiritual development, interpersonal relationships, and stress management subscales pre-test, interim test and post-test mean scores of women in the experimental group, and their mean scores increased positively (p < 0.001). In addition, a statistically significant difference was also found between their MENQOL vasomotor, psychosocial, physical and sexual domains pre-test, mid-test and post-test mean scores (p < 0.05). Conclusion: Motivational interviewing was found to be effective in increasing healthy lifestyle behaviors and quality of life in menopausal women. Trial registration: Current Controlled Trials NCT06802458, 17/01/2025 (https//clinicaltrials.gov/study/NCT06802458), “Retrospectively registered”.
AtıfScopus3WoS3OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ1Maximal strength, sprint and jump performance in elite kumite karatekas
Cinarli, Fahri Safa; Aydogdu, Onur; Aydin, Yalcin; Tokgöz, Gürkan; Kahraman, Abdulselam; Beykumül, Ayşegül; Aygoren, Caner; Yılmaz, Nurkan; Ramirez-Campillo, Rodrigo
Background: Both maximal muscle strength and muscle power are independently important for karatekas. However, the relationship between strength and power in elite male kumite karatekas is under researched. This study aimed to determine the relationship between back-leg-chest (BLC) isometric muscle strength with sprint and jump variables in elite male karatekas. Methods: Male elite/international level (tier 4) kumite karatekas (n = 14; age, 20.79 ± 1.67 year; height, 1.77 ± 0.06 m; weight, 72.21 ± 5.20 kg) were recruited. BLC strength, sprint and jump values were measured with a dynamometer, a photocell, and an application, respectively. Pearson correlation (trivial r < 0.1; small r < 0.3; moderate r < 0.5; large r < 0.7; very large r < 0.9; nearly perfect/perfect r ≥ 0.9) and linear regression analyses were performed to determine the relationship and shared variance between BLC strength, sprint, and jump performance. Results: There were large to very large correlations between BLC strength and sprint time (r = − 0.930, p < 0.01), velocity (r = 0.918; p < 0.01), acceleration (r = 0.913; p < 0.01) and running momentum (r = 0.721; p < 0.01). Additionally, BLC strength correlated with jump height (moderate, r = 0.550, p < 0.05), peak anaerobic power (moderate, r = 0.672, p < 0.01) and power to body mass ratio (moderate, r = 0.545, p < 0.05). BLC strength and sprint variables showed an r2 = 0.52–0.86 (p < 0.01), while BLC strength and jump variables showed an r2 = 0.29–0.45 (p < 0.05). Conclusions: BLC strength is related to jump and sprint performance in male elite karate athletes. This relationship underscores the importance of including strength training that targets BLC muscle strength in training programs for coaches and athletes.
AtıfScopus6İncele - MakaleAçık Erişim2025Scopus SJRQ2Advanced synthesis and comprehensive characterization of nanoparticle-reinforced epoxy-based biocomposites derived from modified palm oil
Şahal, Hakan; Aydoğmuş, Ercan; Canpolat, Erdal; Kaya, Mehmet
In this research, new biocomposites were synthesized by two-step modification of palm oil (MPO). The raw material (MPOSA) was epoxidized in the first step and obtained by reacting with 4,4-diaminodiphenyl sulfone in the second step. Silicon carbide (SiC), MPOSA, bisphenol A diglycidyl ether, and epoxy resin were used to obtain the biocomposites. After this process, necessary physical tests and chemical analyses were performed. Fourier transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM) analyses were used to characterize the biocomposites. The research included measurements of bulk density, Shore D hardness, thermal conductivity, and thermal stability of the biocomposite. The results indicated that MPOSA reinforcement decreased the bulk density of the biocomposite in proportion to the doping level, and Shore D hardness tests revealed a decrease in hardness with the addition of MPOSA. The increase in MPOSA reinforcement also led to a reduction in the thermal conductivity coefficient. In experimental studies, the optimum reinforcement ratio was determined as 1 wt.% nano-SiC, 10 wt.% glass fiber, and 10 wt.% MPOSA. Excessive MPOSA reinforcement adversely affected the matrix structure and pore distribution of the nanocomposite due to aggregation due to increased intermolecular interaction. Thermal decomposition results showed that MPOSA reinforcement reduced the activation energy of the nanocomposite. This study successfully developed an economical, environmentally friendly, and easily processed biocomposite and contributed to the development of functional and sustainable alternatives.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Investigation of the effect of the metallographic properties of vertical and horizontal cylinders made of ferrochrome with different contents on heat transfer by natural convection
Kahraman, Gökhan; Taşgın, Yahya
In this study, ferrochrome materials containing elements with different content ratios were manufactured into six-cylinder specimens, 13 mm in diameter and 16 mm in length, and heated in a furnace up to 500 °C. The heated cylinders were removed and left to cool in vertical and horizontal positions in a 16 °C environment. The temperatures were recorded using thermal cameras at certain intervals while the materials cooled down. The six specimens, whose metallographic differences were identified using SEM and XRD analysis devices, were placed vertically and horizontally, and their heat transfer by natural conviction was noted. In the calculations, each specimen’s Nusselt and Rayleigh numbers were identified based on time and then compared. The fastest cooling among the specimens occurred in the ferrochromium material with 55.93% Cr, 31.11% Fe, 11.56% C, 0.48% Si, 0.83% O, and 0.09% Al compound ratios, both in vertical and horizontal positions. Additionally, since the Nusselt number of the horizontal cylinders remained below one based on their position, their natural convection flows were not initiated. The cooling in the horizontal cylinders occurred via conduction.
- MakaleAçık Erişim2025Scopus SJRQ1ADAMTS-1, a multifunctional proteinase, in the uterus of both estrous cycle rats and ovariectomized rats can be regulated via hormones
Parlak Ak, Tuba; Yaman, Mine; Bayrakdar, Ali; Bulmus, Ozgur
Remodeling of the extracellular matrix (ECM) throughout the estrous cycle is one of the most striking features of the uterus. A disintegrin and metalloprotease with thrombospondin type I motifs (ADAMTS-1) is a metalloproteinase responsible for the degradation of some proteoglycans, which are ECM components. In this study, ADAMTS-1 distribution was analyzed in the uterus of ovariectomized rats administered 17β-estradiol (E2) and progesterone (P4) and in the uterus at different estrous stages. Ovariectomized (OVX) rats were subjected to single and combined E2 (0.2 mg/kg) and P4 (10 mg/kg) hormone replacement therapies. E2 was administered for 3 consecutive days, followed by E2, P4, or E2 + P4 for 4 consecutive days. The serum level of E2 decreased from the proestrus phase to the diestrus phase, but that of P4 was the highest in the estrus phase. During the estrus phase, the serum level of luteinizing hormone (LH) was the lowest and that of follicle-stimulating hormone (FSH) was the highest. P4 level increased significantly in the OVX + P4 and OVX + E2 + P4 groups compared with the OVX group. The serum levels of LH and FSH decreased in the OVX + E2 and OVX + P4 groups compared with the OVX group, and were the lowest in the OVX + E2 + P4 group. ADAMTS-1 immunoreactivity in luminal, glandular, and stromal cells of the uterus decreased from proestrus to diestrus. When immunoreactivity in hormone replacement groups was compared, weak immunoreactivity was observed in the OVX group. ADAMTS-1 immunoreactivity gradually increased in OVX + P4 and OVX + E2 groups, and was particularly notable in luminal, glandular, and stromal cells in the OVX + E2 + P4 group. ADAMTS-1 distribution was affected by the estrous cycle process and hormone replacement therapy in the OVX procedure.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ2Determination of cardiometabolic risk in pre- and post-menopausal women
Orhan, İlksen; Koçak, Hatice Serap; Kaplan, Emine
Objective: The study was designed to determine and compare the cardiometabolic risk in premenopausal and postmenopausal women. Methods: Data were collected using cross-sectional and correlational study. In this study, the sociodemographic characteristics, anthropometric measurements, and biochemical parameters of menopausal women were examined. Results: The average age of menopausal women is higher compared to premenopausal women. Menopausal duration, number of children, daily cigarette consumption, body weight, body mass index (BMI), waist circumference, hip circumference, waist-to-hip ratio, systolic and diastolic blood pressure, fasting blood glucose, hemoglobin, AST (aspartate aminotransferase), and Framingham risk score are higher in menopausal women compared to premenopausal women. Conversely, height, HDL (high-density lipoprotein) level, LDL (low-density lipoprotein) level, TSH (thyroid-stimulating hormone), ALT (alanine aminotransferase), HbA1c (glycated hemoglobin), serum albumin, and visceral adiposity index (VAI) values are lower in menopausal women compared to premenopausal women. Conclusion: These findings indicate changes in the metabolic profiles of menopausal women. This study could serve as an important resource for assessing the health status of menopausal women and for implementing appropriate measures. Clinical trial number: not applicable.
AtıfScopus4WoS4OpenAlex5İncele - MakaleAçık Erişim2025Scopus SJRQ1Effects of inspiratory muscle training on physical fitness in cystic fibrosis: a systematic review and meta-analysis
Aksel-Uylar, Aydan Asli; Topcuoglu, Ceyhun; Saglam, Melda; Vardar-Yagli, Naciye
Background: Cystic fibrosis (CF) is a multisystem disease primarily affecting the lungs. It impacts physical fitness due to increased bronchial secretions and exercise intolerance. Inspiratory muscle training (IMT) is recommended as a pulmonary rehabilitation approach. Therefore, we aimed to examine the effect of inspiratory muscle training on health-related physical fitness in CF. Methods: Articles were searched in five databases from inception to June 2025. All randomized controlled trials comparing IMT with a control group in individuals with cystic fibrosis were included. Four randomized controlled trials involving a total of 90 individuals with CF met the inclusion criteria. Results: A significant difference was found in the change in maximal work capacity, maximal minute ventilation, and exercise duration during the exercise test in the IMT group compared to the control group. However, no significant difference was observed in the change in maximal oxygen uptake, 6-minute walk test distance, and oxygen saturation during the 6-minute walk test between the IMT group and the control group. Conclusion: The therapeutic effectiveness of IMT for physical fitness is still uncertain. The evidence is not enough to assess how IMT can be used to enhance health-related physical fitness in CF. Further research should explore the optimal intensity and duration of IMT training needed to improve cardiorespiratory fitness. Additionally, future studies should evaluate how effective IMT is when examining its impact on health-related physical fitness.
- MakaleYalnız künye2025Scopus SJRQ1Bridging experiment and simulation: Image processing-driven FEA of carbon fiber powder reinforced LDPE
ARIKAN, Volkan; DOGAN, Akar
Short fiber-reinforced polymers are widely used in engineering applications due to their improved mechanical performance and processability. However, accurately predicting the elastic behavior of such composites remains a challenge, especially when fibers are randomly distributed and lack defined orientation. To address this, this study investigates the mechanical properties of composite materials developed by incorporating carbon fiber powder (CFP) into a low-density polyethylene (LDPE) matrix at different reinforcement ratios (3 %, 6 %, and 9 %). The effects of CFP content on elastic modulus, tensile strength, and ductility were examined experimentally and through finite element analysis (FEA). Scanning electron microscopy (SEM) was used to analyze the microstructure, and image processing techniques were applied to quantify fiber orientation, which was then integrated into the FEA framework (Oriented FEA). Results indicate that CFP addition increases stiffness and tensile strength while reducing ductility, with 3 % CFP specimens showing the most favorable balance of mechanical properties. The proposed image-based orientation modeling approach provides improved simulation fidelity and offers a scalable methodology for evaluating the mechanical behavior of short fiber-reinforced composites.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ2The Relationship Between Employment Guilt and Psychological Resilience Levels of Working Mothers
Orhan, İlksen; Ünal, Esra; Ağralı, Cansu
Psychological resilience is a significant factor affecting feelings of guilt, as it helps mothers maintain a better balance between work and family responsibilities. This study was conducted to identify the relationship between employment guilt and the psychological resilience levels of working mothers. The research involved 483 working mothers residing in Osmaniye province, Turkey, who were employed in various fields. In this cross-sectional correlational study, data were collected online via Google Forms using the Personal Information Form, the Maternal Employment Guilt Scale, and the Brief Resilience Scale. The results of this study suggest that as the psychological resilience levels of working mothers increased, their employment guilt levels decreased. The results from this research can be used to identify potential interventions that could mitigate the negative effects of employment guilt on psychological resilience.
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