Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(86)
- Güler, Ömer(69)
- Akkurt, Nevzat(68)
- Baskonus, Haci Mehmet(53)
- Tekin, H.O.(52)
- Bulut, Hasan(50)
- ALMisned, Ghada(49)
- Serdar, Osman(43)
- Yucesan, Melih(43)
- Paksoy, Mehmet Yavuz(42)
- Yildirim, Numan(41)
- Zengin, Gokhan(40)
- Yildirim, Nuran Cikcikoglu(39)
- Ince, Muharrem(37)
- Kocabaş, Mehmet(37)
- Celik, Erkan(35)
- Benzer, Fulya(33)
- Sulaiman, Tukur Abdulkadir(29)
- Aslan, Naim(27)
- Can, Erkan(27)
- Kutlu, Banu(27)
- Kök, Mediha(27)
- Tanyol, Mehtap(27)
- Danabas, Durali(26)
- Kutluyer, Filiz(26)
- Özkul, İskender(26)
- Ates, Mehmet(25)
- Yildirim, Ozal(25)
- Onat, Onur(23)
- Topal, Murat(23)
- Demir, Veysel(22)
- Erten, Fusun(22)
- Guler, Omer(22)
- Say, Yakup(22)
- Yaman, Mehmet(22)
- Alataş, Mevlüt(21)
- Güler, Seval Hale(21)
- Çimen, Okay(21)
- Baykal, Duygu Sen(20)
- Mete, Suleyman(20)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ2Role of Rare-Earth Cerium in Martensitic Transformation and Magnetic Properties of Cu-Al-Mn Alloys
Özkul, İskender; Kalay, Ece; Karaduman, Oktay; Kizilgün, Yasİn; Güler, Ömer; Canbay, Canan Aksu
This study investigates the effects of different cerium additions on the properties of Cu-Al-Mn high-temperature shape memory alloy (HTSMA), such as the characteristic martensitic transformation temperatures, transformational kinetic parameters, and martensitic microstructures which are related to its shape memory mechanism and also to its magnetic behavior. Polycrystalline alloys with a base composition of Cu77.32Al21.02Mn1.67 (at.%) were synthesized, and varying concentrations of cerium (Ce-1 to Ce-4) were added for comparison. Differential scanning calorimetry tests revealed notable increments in transformation temperatures with cerium additions. Specifically, the austenite start temperature of the reference alloy increased from 143.75 °C to 194.88 °C by 0.05 at.% of Ce addition (Ce-3 alloy), corresponding to the formation of CeCu5 and Mn1.15Cu3.85Ce phases. However, excessive Ce addition in Ce-4 led to the over-stabilization of secondary phases, reducing the transformation temperatures. Microstructural analysis indicated that Ce addition of refined grains changed the crystallite size of the martensite structure and reduced lattice strain (from 0.72% to 0.34%). Magnetic characterization demonstrated that Ce addition shifted the alloy towards paramagnetic behavior, with M-H curves showing no significant coercive field or remanent magnetization across the studied alloy samples. These findings suggest that cerium can enhance the high-temperature performance of Cu-Al-Mn HTSMAs, with potential applications in environments requiring both shape memory and magnetic properties.
AtıfScopus3WoS3
İncele - MakaleAçık Erişim2025Scopus SJRQ2High thermal stability and dielectric performance of phenylhydrazine-based Schiff base oligomers obtained via oxidative polycondensation
Solmaz, Adnan; Kaya, İsmet; Bayır, Erdal
In this study, the 2-PHMBD Schiff base, synthesized through the condensation of 2,4-dihydroxybenzaldehyde (2,4-DHBA) with phenylhydrazine (PH), was subjected to oxidative polymerization in a basic medium using hydrogen peroxide (H2O2), sodium hypochlorite (NaOCl), and molecular oxygen (O2) as oxidizing agents. Three oligomers, designated as o-(2-PHMBD)-P, o-(2-PHMBD)-H, and o-(2-PHMBD)-O, were successfully obtained and comprehensively characterized by FT-IR, 1H-13C-NMR, UV–Vis, CV, GPC, SEM, TGA, and DSC analyses. Spectroscopic results confirmed the successful polymerization, while morphological and thermal analyses revealed the distinct physical characteristics of the oligomers. According to GPC data, o-(2-PHMBD)-H exhibited the highest average molecular weight of 4700 Da, and TGA analysis demonstrated that o-(2-PHMBD)-O had the highest thermal stability with a residue of 46% at 1000 °C. The DSC results showed the highest glass transition temperature of 132 °C for o-(2-PHMBD)-H. UV–Vis and CV measurements indicated reduced optical and electrochemical band gaps compared with the monomer, with the lowest optical band gap determined as 2.74 eV. Dielectric measurements revealed that o-(2-PHMBD)-H displayed the highest dielectric constant of 2.57 and conductivity of 2.49 × 10⁻7 S cm⁻1. These results demonstrate that phenylhydrazine-based Schiff base oligomers possess high thermal stability and favorable dielectric properties, making them promising materials for optoelectronic and dielectric device applications.
AtıfScopus3WoS2OpenAlex4İncele - MakaleYalnız künye2025Scopus SJRQ1Modifying the magnetic characteristics of ferrimagnetic TbFeCo by adjusting the thickness of the L11-ordered CoPt
Yüzüak, Gizem Durak
This study investigates structural and magnetic properties of 200 nm TbFeCo ferrimagnetic thin films. These films were formed by depositing L11-ordered CoPt buffer layers on Si(100) substrates, followed by (111)-textured Pt layers. The TbFeCo films were produced at room temperature by magnetron sputtering, and their characteristics were analyzed using X-ray diffraction (XRD), focused ion beam scanning electron microscopy (FIB-SEM), vibrating sample magnetometry (VSM), atomic force microscopy (AFM), and magnetic force microscopy (MFM). The above-mentioned techniques were used to figure out the films’ crystallographic structure, magnetic properties, and the surface characteristics. XRD analysis showed that TbFeCo films without the CoPt layer were only crystalline in the Pt(111) and Pt(222) directions. Conversely, films that were buffered with a CoPt layer developed the L11-ordered CoPt phase, especially in the CoPt(222) and CoPt(444) directions. This issue was linked to an increase in the CoPt unit cell parameter, indicating bulk-like crystallinity, particularly in the 20 nm CoPt layer, while the TbFeCo layer remained amorphous. The FIB-SEM showed that the layers were all gathered the thickness of 20 nm for Pt, 10 or 20 nm for CoPt, and 200 nm for TbFeCo with homogeneous distributed the elements in the Tb46Fe41Co13 composition matrix. Magnetic characterization from VSM measurements ranged from 5 to 350 K and revealed significant differences based on CoPt thickness. At 300 K, the coercive field (HC) got stronger as the thickness of the CoPt layer risen up. For 0, 10, and 20 nm CoPt, the HC was 2.8, 3.3, and 4.1 kOe, and the MS values were about 205, 229, and 234 emu/cm³, respectively. The L11-ordered CoPt underlayer facilitated strong exchange coupling at the TbFeCo/CoPt interface, which is responsible for these improvements. AFM and MFM measurements indicated that surface roughness, and hence magnetic pinning sites, increased dramatically with CoPt thickness. These pinning sites inhibited magnetic domain wall motion, increasing HC values in the out-of-plane direction. This kind of magnetic stability leads to excellent qualities, like higher HC and better thermal stability up to 350 K, that make these films interesting for use in spintronics and data storage, where HC and thermal resilience are important.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ3The Level of Intimate Partner Violence Against Women, Contributing Factors, and its Effects on Psychological Resilience: An Evaluation of Women in Turkey
Orhan, İ.; Ünal, E.; Ağralı, C.; Küçükkelepçe, D.Ş.
Background: Violence by intimate partners is a serious public health problem that negatively affects women’s physical, emotional, and social well-being. In Turkey, factors such as traditional gender roles, economic inequalities, and cultural norms contribute to the continuation of this form of violence. Understanding how such experiences influence women’s psychological strength is essential for effective support and prevention strategies. Aim: This study aims to determine the relationship between domestic violence against women, the factors affecting it, and levels of psychological resilience among women in Turkey. Patients and Methods: We conducted this research with 425 women residing in Tunceli, Turkey. In this cross-sectional, relational study, data were collected using a personal information form, the Violence Against Women Scale (SVAWS), and the Brief Resilience Scale (BRS). The relationship between scores obtained from the scales was determined through correlation and linear regression analyses. Cronbach’s alpha coefficient was calculated to assess the reliability of the scales. Results: The average age of the women who participated in the study was 41.22 ± 12.93 years. Approximately one in four women (24.5%) experienced violence, with the primary reasons for violence being financial problems (40.4%) and issues caused by family members of the couple (28.8%). A significant negative correlation was found between the SVAWS and BRS scores (r = −0.228, P < 0.01). Additionally, there was a significant negative relationship between all subdimensions of the violence scale and psychological resilience. Conclusion: The study found that as the level of violence experienced by women increased, their level of psychological resilience decreased.
- MakaleAçık Erişim2025Scopus SJRQ1Monitoring of organic micropollutant behavior and fate in a full-scale conventional biological urban wastewater treatment plant
Demirbilek, D.; İpek, U.; Yetis, U.
Organic micropollutants, found at trace levels in nature, are causing significant concern due to their toxic, carcinogenic, and mutagenic effects. In this study, the fate and removal of organic micropollutants were monitored covering all seasons in an urban wastewater treatment plant in Turkey. The plant influent, effluent, and aeration basin were sampled seven times in the years of 2019–2020; and three surfactants (linear alkylbenzene sulfonate, nonylphenol mono-di-ethoxylate, nonylphenol), polychlorinated biphenyls and polyaromatic hydrocarbons were monitored in this context. The plant was being operated in the endogenous respiration phase during the monitoring period without sludge removal. Results obtained showed that the highest NH3-N removal (41%) of the study period was realized in March when the lowest mixed liquid volatile suspended solids value (380 mg/L) and the lowest sludge age were observed. In this month, the highest organic micropollutants removal efficiency was obtained in relation to the increased metabolic activity. On the other hand, in August, when the highest mixed liquid volatile suspended solids value (1,750 mg/L) was observed, the lowest organic micropollutants removal was recorded, with the lowest NH3-N removal (6%). The removal of linear alkylbenzene sulfonate and nonylphenol mono-di-ethoxylate was high during the period, and microorganisms could metabolize these pollutants efficiently. Polychlorinated biphenyls, polyaromatic hydrocarbons, and nonylphenol were resistant to metabolic degradation, so they were present in high amounts at various stages of the treatment process. Due to the poor plant treatment performance, a high quantity of organic micropollutants was discharged into the receiving environment.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1Hybrid GA-ConvLSTM for data-driven prediction of climate variables: a case study of the most biodiverse cities in India
Utku, Anıl; Akyol, Sinem
Climate variables affect ecosystems’ structure, sustainability, and biodiversity. Monitoring and analysis of climate variables are essential for the management of ecosystems and the conservation of biodiversity. Temperature affects the distributions, habitats, and phonological events of living things in ecosystems. Humidity is essential for meeting plants’ water needs and the habitat’s quality and health. Dew point is essential for water quality, balance, plant health, and microclimate. Wind speed is essential for pollinating plants, microhabitats, and the health of living things. For such reasons, accurate prediction of climate variables using artificial intelligence methods can effectively predict the future of ecosystems and biodiversity and develop future strategic plans. This study aimed to predict the climate variables of temperature, humidity, dew point, and wind speed of Bhubaneshwar, Dehradun, Guwahati, Mysore, and Nagpur, among the cities with the highest biodiversity in India. It aimed to determine the long-term impacts of climate change on managing ecosystems and biodiversity protection. The hyperparameters of the ConvLSTM model, developed using CNN and LSTM, were optimized with a genetic algorithm, and the GA-ConvLSTM hybrid model was created. GA-ConvLSTM was tested with XGBoost, SVM, ANFIS, CNN, LSTM, and base ConvLSTM using approximately 15 years of hourly, up-to-date, and real-time climate variable data of cities. This work is one of the pioneering studies using GA to optimize deep learning hybrid models for multi-city climate prediction through extensive long-term high-resolution datasets. The experimental results reveal that GA-ConvLSTM outperforms conventional models, producing an R2 score exceeding 0.9 for each city across all climate variables. GA-ConvLSTM produced temperature predictions with 0.833 RMSE and 0.995 R2 for Bhubaneswar, humidity predictions with 3.461 RMSE and 0.990 R2, dew point predictions with 0.632 RMSE and 0.995 R2, and wind speed predictions with 2.278 RMSE and 0.993 R2. The experimental findings confirm the improved performance over conventional models due to SVM and XGBoost failing to achieve these R2 values and high RMSE scores. The research meets three principal obstacles because of the combination of stochastic climate datasets and complex nonlinear patterns, which also encounter limitations in conventional methods for managing scale-dependency relationships and manual parameter adjustments. This approach delivers three main strengths because it combines CNN and LSTM networks through genetic programming while tracking temporal and spatial relationships and processing noisy data automatically, leading to improved results compared to other methods. Unlike other published models in the field, the hybrid model GA-ConvLSTM combines optimized CNN and LSTM elements with genetic algorithm elements. The proposed model received its first application in this research for multi-city climate prediction through training with 15 years of hourly data. Standard methods encounter challenges when detecting long-term dependencies, but GA-ConvLSTM successfully addresses this issue.
AtıfScopus1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ3Phylogenetic Analysis of Lisaea Boiss. (Apiaceae) Species in Türkiye Based on Chloroplast DNA (cpDNA) trnL-intron, trnL-F, matK and rbcL Sequences
Efe, Fadime; Sevindik, Emre; Sevindik, Mustafa; Paksoy, Mehmet Yavuz
Abstract: In this study, Lisaea heterocarpa,Lisaea papyracea and Lisaea strigosa species belonging to the Lisaea genus distributed in Türkiye phylogenetic analysis was determined chloroplast DNA regions. Plant samples were collected from different provinces of Türkiye and taken to the laboratory for genomic DNA isolation, polymerase chain reaction and bioinformatics analysis. As a result of the study, the lowest π-nucleotide diversity was found in the rbcL analyses (0.000917), while the highest π-nucleotide diversity was found in the trnL-F analysis (0.008700). In the phylogenetic trees constructed using trnL intron, trnL-F,and rbcL sequences, the species L. strigosa and L. papyracea appeared together, while L. heterocarpa appeared close to this group. The matK sequences, L. strigosa and L.heterocarpa appeared together, while L. papyracea appeared close to this group. In addition, the phylogenetic trees constructed using sequences from some Apiaceae species from National Center for Biotechnology Information (NCBI) determined that the genus Lisaea is monophyletic. In the trnL-F and rbcL analyses, Lisaea species appeared together with Torilis,Yabea, Daucus, Cuminum, Pternopetalum and Anthriscus species, while in the matK analysis, Lisaea species appeared in a different group from Anthriscus species.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Thermophysical properties and Optimization of modified palm Oil-Amine reinforced biocomposites for lightweight and insulating applications
Şahal, Hakan; Aydoğmuş, Ercan; Arslanoğlu, Hasan
The aim of this study is to investigate various thermophysical properties of modified palm oil-amine (MPOA) reinforced biocomposites to optimize these materials to meet the requirements of lightness and insulation. The effects of MPOA addition to biocomposites on bulk density, surface hardness, thermal conductivity coefficient, and activation energy have been evaluated. In addition, the structural and physical properties of these biocomposites are aimed to determine their potential use as lightweight and thermal insulation materials. The results show that MPOA incorporation significantly affects the bulk density, Shore A hardness, thermal conductivity, and thermal stability of biocomposites. The addition of MPOA provides significant benefits for lightweight biomaterials by reducing bulk density. However, high MPOA content decreases the surface hardness of the biocomposite, and with zirconium silicate (ZrSiO4), this drawback is eliminated and the curing time is reduced. Increasing MPOA ratios also improve the insulation properties of biocomposites by reducing the thermal conductivity coefficient. Thermal decomposition experiment results show that higher MPOA content reduces thermal stability. Scanning electron microscopy (SEM) reveals that high levels of MPOA lead to increased surface porosity and irregularities, negatively affecting surface morphology. An optimal MPOA reinforcement level of 5 wt% provides a balance between desirable properties such as reduced density and improved thermal insulation while minimizing adverse morphological effects. Fourier-transform infrared spectroscopy (FTIR) confirms the presence of epoxy resin and the successful chemical modification of palm oil to create bioepoxy feedstock. MPOA reinforcement offers benefits such as reduced bulk density and improved thermal insulation while addressing challenges in surface morphology, mechanical properties, and thermal stability. The study concludes that biocomposites with 5 wt% MPOA provide optimum stability, making them suitable for applications requiring lightweight and thermally insulating materials without significantly compromising structural integrity. This research, the long-term performance of biocomposites, and future investigations into their potential applications will further expand their practical applicability.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1High-Entropy Alloys and Oxides as Supercapacitor Electrodes: A Structural and Electrochemical Perspective for Energy Storage
Başgöz, Öyküm; Güngör, Ahmet; Güler, Ömer; Erdem, Emre
This study investigates the performance of high entropy alloys [Fe3Cr3Mn2NiV, HEA)] and high entropy oxides [(Fe3Cr3Mn2NiV)O4, HEO)] as electrode materials for supercapacitors. HEA is synthesized through mechanical alloying, followed by HEO forming via an oxidation process. XRD results demonstrate HEA comprises both amorphous and crystalline phases, whereas HEO has an entirely crystalline structure. SEM analyses showed HEA exhibits larger and irregular particles, whereas HEO displays a smaller and spherical morphology. EPR analyses revealed significant changes in defect structures and unpaired electron configurations during the transition from HEA to HEO. HEA is prone to diffusion-controlled processes due to their regular structure and strong magnetic interactions; however, HEO exhibits capacitive behavior based on surface redox reactions and pseudo-capacitive mechanisms due to their irregular structure and oxygen vacancies. CV analyses revealed that HEO contributes more capacitive via surface redox reactions, while GCPL results suggested that HEO demonstrated superior energy density (40.8 Wh kg−1) and power density (14.3 kW kg−1). Impedance analyses revealed that HEO exhibited reduced internal resistance and enhanced ion conductivity, whereas HEA demonstrated higher resistance and diffusion-controlled processes. In conclusion, HEA and HEO exhibit distinct energy storage mechanisms, and these materials can be optimized for supercapacitor applications.
AtıfScopus36WoS34OpenAlex18İncele - MakaleYalnız künye2025Scopus SJRQ1Rainfall trends in the transboundary Euphrates-Tigris River Basin
Acar, Ramazan; Akbas, Ergun; Koycegiz, Cihangir; Esit, Musa
Climate change and anthropogenic factors have a significant impact on rainfall variability. In this study, the trends of monthly total precipitation in the transboundary Euphrates-Tigris River Basin (ETRB), where these effects are intensely observed, were analyzed by trend analysis methods with various perspectives. After decomposing the monthly total rainfall series (1964–2021) obtained from 18 stations representing 12 months of the year, statistical (Mann-Kendall, Wilcoxon, Onyutha), graphical (Innovative Polygon Trend Analysis, IPTA), Trend Polygon Star Concept, TPSC), sub-trend (Onyutha) and spatial trend analyses were performed. Based on the results, it was observed that rainfall in the basin has significant spatial and temporal variability. A monotonic strong decreasing trend was observed in cold months with high rainfall, while an increasing trend was observed in warm months with low rainfall. Extreme rainfall during the winter months has shifted towards the end of the cold months. Graphical and statistical analysis methods have shown strong consistency in identifying monotonic trends. However, the implementation of various methods provides specific insight (transition, sub-trend, etc.) into the temporal and spatial variability of rainfall. Sub-trend analysis shows that rainfall characteristics in the cold months show a significant change before and after the 1990–2000 period. In warmer months, this variability is significantly affected by local and global driving forces. The central and marginal parts of the ETRB have different rainfall characteristics. During cold months, the monotonic trend (decreasing) is significant in the central part. In warm months, the monotonic trend (increasing) increases its intensity in the eastern parts.
AtıfScopus12WoS10OpenAlex14İncele - MakaleAçık Erişim2025Scopus SJRQ2An investigation on microstructural, physical, and radiation shielding properties Yb2O3 oxide dispersion-strengthened 316L-SS alloys
ALMisned, Ghada; Yayla, Nihal; Albayrak, M. Gökhan; Güler, Ömer; Sen Baykal, Duygu; Alkarrani, Hessa; Susoy, Gulfem; Tekin, H.O.
Oxide dispersion-strengthened alloys have emerged as a highly effective solution to address the physical, structural, and shielding challenges faced by traditional alloys in nuclear environments. This study presents a comprehensive evaluation of the microstructural, mechanical, and radiation shielding properties of Yb2O3 oxide dispersion-strengthened 316L stainless steel composites at varying Yb2O3 concentrations such as 1%, 5%, 10%, and 20% by weight. XRD analysis revealed lattice distortions, with crystallite sizes decreasing from 11.2267 nm to 9.3351 nm. SEM/EDX analyses confirmed homogeneous Yb2O3 dispersion at lower concentrations, with agglomeration at 20% Yb2O3. The mass attenuation coefficient increased from 56.103 cm2/g to 65.919 cm2/g at 0.015 MeV, marking a 17.5% enhancement. HVL decreased by 40.68% at 0.2 MeV for the 20% Yb2O3 sample. Additionally, the 20% Yb2O3 composite showed nearly 33% lower transmission factor at 3.0 cm thickness and 0.662 MeV. It can be concluded that Yb2O3 reinforcement significantly enhances the microstructural, and gamma-ray attenuation properties of 316L-SS composites, positioning them as promising materials for advanced nuclear shielding and structural applications.
AtıfScopus5OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ3New Record of Peregriana labiata (Rossmässler, 1835) (Gastropoda: Lymnaeidae) in Kelkit Basin (NE Anatolia): Effect of Altitudes on Distribution and Morphological Characters
Kocabaş, Filiz Kutluyer; Kocabaş, Mehmet; Kara, Cemil; Bozali, Nuri; Gürlek, Mustafa Emre
Abstract: Peregriana labiata (Rossmässler, 1835) is a broadly distributed Palaearctic freshwater snail belonging to the family Lymnaeidae and it is an intermediate host of Fascioloides manga causing Fasciolosis as a snail-borne trematode disease. The disease negatively influences the livestock sector and human health with increasing prevalence in the last decades. As a helpful tool, geographical distribution of P. labiata was assessed in Kelkit Basin (North-East Anatolia) as a risk area for fasciolosis transmission. 85 sampling sites were sampled from different habitats in Kelkit Basin (NE Anatolia). The first evidence of P. labiata occurrence was revealed in the basin. In addition, the effects of altitudes on abundance, distribution and shell characters of P. labiata were investigated in several ecosystems. The highest values for SL (standard length) and W (weight) were recorded as 11.80 ± 0.10 mm and 0.17 ± 0.14 g at an altitude of 1233 m, respectively. The highest occurrence of P. labiata was observed at altitudes of 728 m (17%) and 1223 m (16%). PCA analysis showed a strong correlation between SpH (spire height) and AW (aperture width). Overall, the broad range of samples gathered from different altitudes strengthened the idea that the shell characteristics vary with altitude.
- MakaleAçık Erişim2025Scopus SJRQ1Spring-Based Soil–Structure Interaction Modeling of Pile–Abutment Joints in Short-Span Integral Abutment Bridges with LR and RSM
Polat, Erkan; Göçmen Polat, Elifcan
Integral abutment bridges (IABs) are increasingly adopted in transportation infrastructure due to their durability, reduced maintenance needs, and cost-effectiveness compared to conventional bridges. However, their reliable performance under live loads is strongly influenced by the nonlinear soil–structure interaction (SSI) at the pile–abutment joint, which remains challenging to quantify using conventional analysis methods. This study develops simplified spring-based models to capture the SSI behavior of pile–abutment joints in short-span IABs. Predictive equations for joint rotation, deflection, moment, and shear are formulated using Linear Regression (LR) and Response Surface Methodology (RSM). Unlike prior studies relying solely on FEM or traditional p–y curves, the novelty of this work lies in deriving regression-based spring constants calibrated against FEM analyses, which can be directly implemented in standard structural software. This approach significantly reduces computational demands while maintaining predictive accuracy, enabling efficient assessment of pile contributions and global bridge response. Validation against finite element method (FEM) results confirms the reliability of the simplified models, with RSM outperforming LR in representing nonlinear parameter interactions.
AtıfScopus2WoS2OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ4Is There a Difference Between Postpartum Depression and Mother-baby Bonding in Pregnant Women Who Had and Did Not Have COVID-19? A Comparative and Cross-sectional Study; [COVID-19 Geçiren ve Geçirmeyen Gebelerde Doğum Sonrası Depresyon ve Anne-bebek Bağlanması Arasında Fark Var mıdır? Karşılaştırmalı ve Kesitsel Bir Çalışma]
Karatay, Gülnaz; Gürarslan Baş, Nazan; Yüksekol, Aslı
Objective: This study was conducted to examine the effect of being diagnosed with coronavirus disease-2019 (COVID-19) during pregnancy on postpartum depressive symptoms and infant-mother bonding. Method: This comparative cross-sectional study was conducted in a city in southeastern Turkey. Using the purposeful sampling method, 210 postpartum women (106 had COVID during pregnancy, 104 did not) constituted the sample of the study. The data were collected through face-to-face interviews between 15 March and 30 May 2022. Data were collected using the mother introductory information form, mother-infant bonding scale, and Edinburgh postnatal depression scale. The obtained data were analyzed using percentages, means, t-test, chi-square, Mann-Whitney U, and regression analysis. Results: According to the findings of the study, a significant relationship has been observed between contracting COVID-19 and both the birth weight of the baby and the week of birth. Moreover, having COVID-19 negatively affected infant-mother bonding and increased postpartum depressive symptoms. Conclusion: According to the findings of the study: it was observed that the babies of mothers who had COVID-19 had lower birth weight, were born before the full term, mother-baby bonding was lower, and postpartum depression was higher in mothers.
- MakaleAçık Erişim2025Scopus SJRQ1Effect of neuro-linguistic programming on comfort after cesarean: a randomized controlled trial neuro-linguistic programming comfort level cesarean
Doğan, Aysel; Dal, Nursel Alp; Beydag, Kerime Derya
Background: Due to the deterioration in comfort experienced after cesarean section, mothers go through troubled hours, have problems with breastfeeding, and cannot even meet their own and their baby’s needs. This study was conducted to determine the effect of neuro-linguistic programming on mothers’ comfort levels following cesarean section in the postpartum period. Methods: This study was performed from 1 January to 1 September 2023 as a prospective randomized controlled single-blind clinical trial with 100 participants (50 experimental, 50 control). The research data were collected using the Personal Information Form and the Postpartum Comfort Scale. The dependent samples t test and independent samples t test were used in the analysis of research data as well as numbers, percentages, and means. Analysis of covariance (ANCOVA) was used to evaluate the effect of the NLP more accurately by controlling the pre-test scores. Results: There were statistically significant differences between the mean pretest and posttest postpartum comfort scale scores, physical comfort scores, psycho-spiritual comfort scores, and sociocultural comfort scores of mothers in the intervention group. In this regard, mothers in the intervention group had higher mean postpartum comfort scale scores, physical comfort scores, psycho-spiritual comfort scores, and sociocultural comfort scores in the posttest phase than in the pretest phase. Conclusions: This study revealed that neuro-linguistic programming enhanced the postpartum comfort levels of mothers who underwent cesarean delivery. In this context, it is recommended that nurses and midwives enhance participants’ comfort through the use of neuro-linguistic programming techniques in care processes. Trial registration: NCT05646537.
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İncele - MakaleYalnız künye2025Scopus SJRQ2Exploring the Grazing Land Footprint’s Stochastic Behavior in the Top Dairy and Meat-Producing Nations
Adali, Zafer; Yeter, Fatih; Çoban, Mustafa Necati; Sarı, Sacit
The Sustainable Development Goals (SDGs) are a set of influential and easily understood sustainability principles. SDG2 defines Zero Hunger, which is once again a key goal in the SDGs. A sustainable food system depends on the grazing land footprint, one of the elements of the ecological footprint. For food security to be maintained, the grazing land footprint has to be taken into consideration. In order to provide adequate global food systems and mitigate climate change, research on the stochastic features of grazing land footprint is crucial. The goal of this research is to look at the stochastic characteristics of the grazing land footprint in 13 nations that produce almost two-thirds of the world’s milk and meat. The study includes data for 13 nations over the years 1961–2022. Several unit root tests are conducted to provide more precise data about the effectiveness of the policy shocks, including whether or not they allow for repeated, smooth structural breakdowns. The results show that because the series is prone to following its long-term trends, shocks cannot lead it to diverge from those trends. Thus, any shocks brought on by policies cannot have a lasting effect on the series. However, the series includes a unit root. The unit root tests have made it clear that any policy shocks would have a long-lasting effect on the series and that policymakers may set a goal for the series. Policy suggestions have been provided for the investigated nations in conjunction with these results.
AtıfScopus2WoS2OpenAlex8İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ3EFFECT OF ANTIOXIDANT AND ITS CONCENTRATION ON THE SPERM QUALITY OF WALKING CATFISH Clarias batrachus POST CRYOPRESERVATION
Handayani, Luvi Syafrida; Rahayu, Sri Riska; Razi, Nanda Muhammad; Kocabas, Mehmet; Kocabas, Filiz Kutluyer; Tian, Changxu; Hafizuddin, Hafizuddin; Fadli, Nur; Muchlisin, Zainal Abidin
The walking catfish Clarias batrachus is popular and affordable in Southeast Asian countries. The development of breeding technology for this species is ongoing, with sperm cryopreservation being a key aspect of study that supports its breeding program. Cryopreservation is an essential method in fish breeding, particularly for sustaining breeding initiatives that supply larvae throughout the years. However, this process can lead to oxidative stress, which may decrease sperm quality due to structural and physiological damage, including DNA fragmentation. Adding an antioxidant to the freezing medium could help mitigate these negative effects and maintain sperm quality. This study aims to evaluate the effectiveness of various types and concentrations of antioxidant on the quality of C. batrachus sperm post-cryopreservation. Four types of antioxidants were tested: ascorbic acid, Myoinositol, alpha-tocopherol, and Butylated Hydroxytoluene, each at concentrations of 0, 20, 40, and 60 mg/L. Ringer solution, 5% DMSO and 5% egg yolk were used as extender and cryoprotectants, respectively. Sperm samples were stored in liquid nitrogen for 2 weeks, after which sperm quality was analyzed. The results showed that both the type and concentration of antioxidant had a significant effect (p<0.05) on all measured sperm quality parameters. Ascorbic acid at a concentration of 40 mg/L produced the best results, achieving 62.33% motility, 66.00% viability, and 61.67% fertility. Electrophoresis analysis showed no DNA fragmentation in any of the treatments, indicating that the genetic structure of sperm remained intact. Ascorbic acid at 40 mg/L is the most effective antioxidant for cryopreservation of sperm C. batrachus.
- MakaleYayıncıda açık erişim2025Scopus SJRQ1Effect of postharvest melatonin and salicylic acid applications on quality characteristics and primary and secondary metabolite physiology of tomato fruits
Kaygısız, Tansel; Sen, Fatih; Gundogdu, Muttalip; Ejaz, Shaghef; Aglar, Erdal
Background: This study aims to investigate the effects of postharvest melatonin (ML) and salicylic acid (SA) applications on fruit quality and biochemical properties in tomatoes. The potential synergistic effects were investigated by applying these compounds to the ‘Depar’ tomato variety grown in Bolu in the 2024 production season. The tomato fruit that were mature and free from physical damage were selected and sterilized according to predetermined criteria. Afterwards, ML and SA solutions (1 mM) were sprayed on each fruit and then the fruit were stored at 5 ± 0.5 °C and 90 ± 5% relative humidity. Pomological and biochemical measurements and analyses were carried out on fruit stored for 24 days in three different periods (8th, 16th and 24th days). Results: With the extension of storage period, the increase in spoilage and ripening symptoms such as weight loss (8.53%), pH increase (5.01) and soluble solids content (SSC) accumulation (4.95%) was observed in tomatoes. In addition, the significant decreases occurred in malic acid, citric acid, tartaric acid, oxalic acid, vitamin C and phenolic compounds. However, SA and ML applications slowed down these negative changes, with the best results generally obtained in the SA + ML combination. This combination significantly limited the decreases in weight loss and chemical contents, delayed the ripening of tomatoes and maintained their nutritional value. Especially in early and middle storage periods (8th and 16th days of the cold storage), SA + ML applications gave the most effective results. However, some protective effects were reduced by the 24th day the cold storage. Conclusion: SA and ML applications are recommended as an effective biopreservation strategy to extend the shelf life of tomatoes, prevent commercial value loss and maintain quality. This study demonstrates the potential of using bioactive compounds to preserve the quality and nutritional values of tomatoes after harvest.
AtıfScopus10OpenAlex12İncele - MakaleAçık Erişim2025Scopus SJRQ1A novel s-box generation method based on metastable inducing over FPGA for block ciphers
Garipcan, Ali Murat; Aydın, Yılmaz; Özkaynak, Fatih
Substitution boxes (s-boxes) providing the nonlinearity property are fundamental components of modern encryption systems. The security of these systems directly depends on the quality of the s-boxes ensuring a high level of resistance to advanced attacks. Although there is no perfect method in the literature, improving the cryptographic properties of s-boxes, such as nonlinearity and differential independence remains an important area of interest for many researchers. In this paper, we propose a new s-box generation method based on the reinforcement of the randomness obtained from the metastable states of the R-S latch. In the proposed method, a Field Programmable Gate Array (FPGA) chip is used to obtain design inputs based on physical reality obtained from the hardware level. Design inputs with poor statistical adequacy are transformed into s-boxes by passing them through four different hash functions (Blake2b, Blake2 s, SHA3 and Shake). A total of 333,328 s-boxes are generated with the proposed method for four different scenarios and widely used evaluation metrics such as bijectivity, nonlinearity (NL), strict avalanche criteria (SAC), bit independence criteria (BIC), differential probability (DP) and linear probability (LP) are considered for the analysis. Taking into account these metric values, the study also presents a detailed performance comparison of the proposed s-boxes with recent studies from the last 5 years in the literature. The fact that the nonlinearity degree of 75 % of the produced s-boxes is higher than 103, which is the average limit value in the literature, also confirms the method's efficiency, proven reliable by the analysis results. When all these results are evaluated together, they confirm that the proposed method is highly effective in generating robust s-boxes and that these s-boxes can be reliably used in modern cryptographic systems.
AtıfScopus21WoS23İncele - Derleme MakaleYalnız künye2025Scopus SJRQ2Revolutionizing biomedicine with rare earth element nanoparticles: physical properties and biotechnological potential
Şahal, Hakan
Rare earth elements (REEs) are used in the creation of many promising technologies that have the potential to revolutionize many medical and biotechnological fields such as medical imaging, cancer treatment and diagnosis, biosensors and diagnostic kits, tissue engineering and regenerative medicine, cosmetics and dermatology, gene therapy and molecular biology, pharmacology, and drug delivery systems today and in the future. Their use as targeted treatment approaches, biocompatible materials and imaging agents with anticancer, antimicrobial, antibacterial, and antioxidant properties enables revolutionary developments in modern medicine and biotechnology. The versatile uses of these elements may contribute to the development of more effective and sensitive methods in medical treatment and diagnosis in the future. For this reason, they are intensively researched worldwide. The focus of this research is that rare earth elements and their derivatives can provide innovative solutions for diagnosis and treatment at the molecular level. Doping with rare earth elements, which are considered as vitamins of industries, redefines the properties of materials and increases their efficiency. For this reason, research is aimed at obtaining new properties and applications by creating hybrid structures of rare earth elements with different components. In recent years, scientific interest in investigating the molecular interactions of REEs with biomolecules has increased. These studies aim to activate drug-specific molecules in target cells, reduce their side effects, and provide more effective treatment methods. These studies aim to create potential structures in gene therapy, biosensor technologies, and cancer research with modifications performed using REEs. This study investigates the transformative potential of REE nanoparticles in various biotechnological and biomedical applications and emphasizes their promise as versatile tools for innovation in multiple disciplines by highlighting their roles in advancing targeted therapies, reducing side effects and addressing critical challenges in modern healthcare.
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