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
- MakaleYalnız künye2025Scopus SJRQ1Impact of controlled oxidation and incorporation of high entropy rare-earth alloys (HE-REAs) on the structural, physical, optical, and radiation shielding performance of zinc-borate glasses
Ilik, E.; Guler, Seval Hale; Güler, Ömer; Durmus, Hasan; Kavaz, E.; Birdogan, Selcuk; ALMisned, Ghada; Kilic, G.; Tekin, H.O.
This study investigates the influence of high entropy oxide (HEO) and high entropy alloy oxide (HEAO) dopants on the structural, optical, and radiation shielding properties of zinc-borate glasses. Two synthesis routes were employed through direct mechanical alloying of five rare-earth oxides such as Sm2O3, Ho2O3, Er2O3, Yb2O3, Gd2O3 to form (SmHoErYbGd)2O3 HEO, and mechanical alloying of the corresponding rare-earth metals followed by oxidation to produce HEAO of the same elemental composition. The central hypothesis proposed that the dopant structure and oxygen coordination, not just elemental presence, critically influence the on characteristic behaviors in terms of radiation attenuation. Structural analyses confirmed that HEAO-doped glasses exhibit more homogeneous, amorphous networks. Optical characterizations revealed red-shifted absorption edges and lower Urbach energies in HEAO samples, indicating reduced disorder. HEAO-doped glasses showed superior gamma-ray shielding, with higher linear attenuation coefficients and lower half-value layers than HEO or undoped samples. Most notably, HEAO glass achieved the highest fast neutron removal cross-section, surpassing water, graphite, and B4C. These findings demonstrate that rare-earth high entropy alloy oxides offer a structurally optimized pathway for designing next-generation multifunctional glasses for radiation-related applications.
AtıfScopus9OpenAlex8
İncele - MakaleYalnız künye2025Scopus SJRQ2Elastic modulus, nuclear radiation transmission properties of Fe-based/contained novel alloys for critical radiation applications
ALMisned, Ghada; Susoy, Gulfem; Baykal, Duygu Sen; Alkarrani, Hessa; Güler, Ömer; Issa, Shams A.M.; Zakaly, Hesham M.H.; Tekin, H.O.
This study explores the gamma-ray and neutron shielding properties and mechanical performance of eight Fe-based alloys with varying elemental compositions and densities. Different parameters such as mass attenuation coefficients, linear attenuation coefficients, half-value layer, tenth-value layer, mean free path, fast neutron removal cross-sections, transmission factors were analysed using PHITS and Phy-X/PSD codes. Moreover, elastic modulus values were calculated for each alloy sample. Our results reveal that the S9 alloy, with high density and tungsten contribution, exhibited superior shielding and mechanical properties, achieving the lowest TF, HVL, and TVL values. In contrast, the low-density S1 alloy performed weakest, reflecting its lighter elemental composition. Intermediate alloys like MAR-302 and Cupero-Nickel showed balanced performance, suitable for moderate shielding needs. Strong correlations between elemental compositions, particularly high-Z elements like tungsten and boron, and shielding efficiency were observed. It can be concluded that optimizing elemental composition and density is critical for designing alloys with enhanced multifunctional properties.
AtıfScopus3OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ3New Record of Two Melanopsid Species (Melanopsis costata and Melanopsis buccinoidea) in the Eastern Mediterranean Basin: Morphological Variation in the Söğütlü Stream (Hatay, Türkiye)
Kocabaş, Filiz Kutluyer; Kocabaş, Mehmet
Abstract: Melanopsis costata and Melanopsis buccinoidea are freshwater gastropods within the Melanopsidae family characterized by their wide geographical distribution. The geographical distribution of the two species was evaluated within the Eastern Mediterranean Basin as part of this study. Aquatic sites were surveyed across diverse habitats in Söğütlü Stream (Hatay, Türkiye). The shell characteristics [shell height (SH), shell width (SW), spire height (SpH), aperture length (AL), and aperture width (AW)] of the two species were also examined within the ecosystem. The maximum values recorded for M. costata were a shell length (SL) of 17.40 mm and a weight (W) of 0.62 g. The highest values for M. buccinoidea were 13.75 mm for SL and 0.30 g for W. The PCA analysis demonstrated a significant relationship between shell length and shell width, aperture length, aperture width, and weight. The initial evidence of the presence of M. costata and M. buccinoidea was identified in the water body, and the distribution of both species exhibited habitat-dependent variations in their morphological traits.
- MakaleAçık Erişim2025Scopus SJRQ2Parents’ Level of COVID-19 Fear, Anxiety and Their Attitudes and Behaviors Toward Vaccination of Their Children
Baş, Kazım; Gürarslan Baş, Nazan
The aims of this study were to investigate parents’ COVID-19 fear and anxiety levels and determine the relationship between parents’ COVID-19 fear and anxiety levels and their attitudes and behaviors toward having themselves and their children vaccinated. This descriptive and cross-sectional type of research was conducted with 950 parents with 12–18 years old children. Having a chronic disease, being vaccinated, intention to vaccinate their children, and the children’s age and school year were found to increase parents’ COVID-19 fear and anxiety (p < 0.005). A statistically significant correlation was found between the parents’ perceived levels of COVID-19 fear and anxiety and their intentions to vaccinate their children (p < 0.005). According to the study’s findings, the age of the child, the parents’ vaccination, and the parents’ intentions to vaccinate their children were predictors of COVID-19 fear and anxiety.
AtıfScopus1WoS1OpenAlex3
İncele - MakaleAçık Erişim2025Examination of Numerical Changes in Goat and Buffalo Population in TRB1 Region with Cluster Analysis; [Examination of Numerical Changes in Goat and Buffalo Population in TRB1 Region with Cluster Analysis]
Çimen, Murat; Güven, Alper
In this study, the effectiveness of using cluster analysis in determining the changes in the number of animals in the field of goat and buffalo breeding in the TRB1 region was tested. The numbers of goats and buffalos used in the research were obtained from the records kept by TÜİK between 2004 and 2023. According to the cluster analysis results, the numbers of buffalos in Elazığ and Bingöl provinces was found to be higher than Malatya and Tunceli provinces between 2004 and 2023. According to the specified years, while Bingöl province was found to be higher than other provinces in terms of the numbers of goats, it was determined that Malatya province had the lowest values. When analyzed by year, the numbers of buffalos in the provinces of the TRB1 region for the years 2004-2006 was found to be higher than the following years. In other words, it is understood that the numbers of buffalos has been decreasing in the TRB1 region since 2007. In the TRB1 region, goat numbers between 2012-2023 were found to be higher than those between 2004-2011. Accordingly, it can be said that there has been an increase in the number of goats in the TRB1 region since 2012. In the TRB1 region, appropriate regulations need to be made, taking into account the differences between provinces and years in terms of the numbers of buffalos and goats. In this study, it was seen that cluster analysis could be used successfully in determining the differences in animal numbers according to provinces and years.
AtıfOpenAlex3TR Dizin3
İncele - MakaleAçık Erişim2025Scopus SJRQ1Was the Formation of the North Anatolian Fault Influenced by the Aegean Extension?
Uysal, I. Tonguç; Karabacak, Volkan; Aykut, Tunahan; Ring, Uwe; Liu, Entao; Sancar, Taylan; Leonard, Nicole; Tong, Kui; Todd, Andrew J.; Temel, Abidin
The North Anatolian Fault (NAF), one of the most prominent plate boundary continental fault systems on Earth, facilitates the westward movement of the Anatolian microplate into the Aegean region. The temporal and spatial evolution of the NAF is important for understanding the mechanism of escape tectonics during plate interaction in active orogenic regions. The driving force(s) behind the movement of the NAF and the time period over which this occurred remain controversial. Our U–Pb and K–Ar dating of syntectonic minerals shows that a predecessor faulting initiated as early as ~40 Ma due to shortening along the Neo-Tethyan suture zone. Fault reactivations occurred at ~20 and 10 Ma synchronously in eastern and western Anatolia, suggesting that the NAF already existed by ~20 Ma. Our data also show that the westward motion of Anatolia was not only controlled by the Arabia–Eurasia collision in eastern Anatolia, but also by Aegean extension.
AtıfScopus6OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ2Chemical Characterization, Antioxidant and Enzyme-Inhibitory Activities of Different Extracts from Three Phlomis Species
Yagi, Sakina; Zengin, Gokhan; Cetiz, Mehmet Veysi; Cziáky, Zoltán; Jeko, József; Bahşi, Muammer; Çakılcıoğlu, Uğur; Turumtay, Halbay; Aktumsek, Abdurrahman
Phlomis species (family Lamiaceae) are highly valued as food and herbal medicine. The present study is designed to investigate the chemical composition and antioxidant and enzyme inhibitory activities of extracts from P. fruticosa, P. herba-venti, and P. kurdica aerial parts. Different classes of metabolites, including phenolic acids, phenylethanoids, flavonoids, iridoids, organic acids, terpenes, and fatty acids, are identified in the three species, with methanol as the best solvent to recover bioactive compounds from the three species in addition to ethyl acetate for P. kurdica. Around 70% methanol extract of P. herba-venti exerts the best radical scavenging and ions-reducing properties, while its methanol extract exhibits the highest acetylcholinesterase inhibitory activity. The ethyl acetate extract of P. fruticosa displays the best chelating power, and its other polar extracts have the highest total antioxidant activity. Furthermore, molecular docking and molecular dynamics simulations have underscored the therapeutic potential of bioactive compounds, including isoverbascoside, samioside, forsythoside B, and hattushoside. In conclusion, the study indicates that these three Phlomis species are a rich source of bioactive molecules with possible therapeutic applications, and the selection of appropriate extraction solvents is crucial for the targeted biological activity.
AtıfScopus23OpenAlex25İncele - MakaleAçık Erişim2025Scopus SJRQ2Impact of sub-eutectoid thermal aging on martensitic transformation, thermo-structural properties, and gamma-neutron shielding performance of CuAlMnFe high-temperature shape memory alloy
Karaduman, Oktay; Kalay, Ece; Ozkul, Iskender; Kurgun, Mehmet Ali; Canbay, Canan Aksu; Guler, Omer; ALMisned, Ghada; Baykal, Duygu Sen; Tekin, H.O.
A novel Cu-based high-temperature shape memory alloy (HTSMA) with the composition 70.84Cu–23.80Al–4.14Mn–1.22Fe (at. %) was successfully synthesized via arc melting in this study. The effects of thermal aging duration on the alloy’s martensitic transformation behavior, shape memory effect (SME), and microstructural evolution were systematically investigated. Six samples were prepared from the as-cast ingot: one was homogenized in the β-phase region and quenched into ice-brine to induce a martensitic structure, while five others were subsequently aged at 350 ℃ for varying durations and air-cooled. Thermal and structural characterizations were conducted. These included differential scanning calorimetry (DSC), X-ray diffraction (XRD), energy-dispersive spectroscopy (EDS), and optical microscopy. Prolonged aging altered transformation temperatures and reduced both enthalpy and entropy values. It also promoted the formation of observed precipitates, vacancies, and coarsened 2H martensites. Prolonged aging altered the microstructure and thermal response, leading to partial SME degradation. Additionally, the alloy’s gamma-ray and fast neutron shielding parameters were theoretically estimated using simulation software to explore its potential functional scope. The calculated results indicate that the CuAlMnFe HTSMA is predicted to exhibit favorable attenuation performance across a wide energy spectrum, with appropriate values of mass attenuation coefficient (MAC) and half-value layer (HVL). In particular, the fast neutron removal cross-section was calculated as 0.139 cm−1, which is significantly higher than those of water (0.1023 cm−1), graphite (0.0773 cm−1), and B4C (0.0714 cm−1). In conclusion, the CuAlMnFe HTSMA developed in this study offers a unique profile combining tailorable shape memory behavior with a computationally predicted potential for nuclear radiation shielding. These properties offer novel insights into the alloy’s potential for applications in high-radiation environments that require both mechanical actuation and radiation protection, pending experimental validation of its shielding performance.
AtıfScopus1OpenAlex1İncele - Derleme MakaleAçık Erişim2025Scopus SJRQ1Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
Uyanik, Hakan; Sengur, Abdulkadir; Salvi, Massimo; Tan, Ru-San; Tan, Jen Hong; Acharya, U. Rajendra
Mental and neurological disorders significantly impact global health. This systematic review examines the use of artificial intelligence (AI) techniques to automatically detect these conditions using electroencephalography (EEG) signals. Guided by Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), we reviewed 74 carefully selected studies published between 2013 and August 2024 that used machine learning (ML), deep learning (DL), or both of these two methods to detect neurological and mental health disorders automatically using EEG signals. The most common and most prevalent neurological and mental health disorder types were sourced from major databases, including Scopus, Web of Science, Science Direct, PubMed, and IEEE Xplore. Epilepsy, depression, and Alzheimer's disease are the most studied conditions that meet our evaluation criteria, 32, 12, and 10 studies were identified on these topics, respectively. Conversely, the number of studies meeting our criteria regarding stress, schizophrenia, Parkinson's disease, and autism spectrum disorders was relatively more average: 6, 4, 3, and 3, respectively. The diseases that least met our evaluation conditions were one study each of seizure, stroke, anxiety diseases, and one study examining Alzheimer's disease and epilepsy together. Support Vector Machines (SVM) were most widely used in ML methods, while Convolutional Neural Networks (CNNs) dominated DL approaches. DL methods generally outperformed traditional ML, as they yielded higher performance using huge EEG data. We observed that the complex decision process during feature extraction from EEG signals in ML-based models significantly impacted results, while DL-based models handled this more efficiently. AI-based EEG analysis shows promise for automated detection of neurological and mental health conditions. Future research should focus on multi-disease studies, standardizing datasets, improving model interpretability, and developing clinical decision support systems to assist in the diagnosis and treatment of these disorders.
AtıfScopus58OpenAlex46İncele - MakaleAçık Erişim2025Scopus SJRQ2Effect of neodymium addition on the structural, mechanical, and magnetic properties of FeCoNiCu(MnCr)0.5 high entropy alloys
Yayla, Nihal; Şimşek, Telem; Boyrazlı, Mustafa; Güler, Ömer
Neodymium (Nd), a rare earth element, was incorporated into the [FeCoNiCu(MnCr)0.5] high-entropy alloy (HEA) at weight percentages of 0.5%, 1%, 2%, and 5%. The alloys were synthesized successfully using the arc melting method. X-ray diffraction (XRD) analysis confirmed that both the undoped and Nd-doped alloys exhibit a single-phase solid solution with a face-centered cubic (FCC) crystal structure, consistent with thermodynamic predictions derived from the Miedema model. Scanning electron microscopy (SEM) revealed a dendritic structure in the undoped alloy, which was replaced by Cu- and Cr-rich regions in the 5% Nd-doped alloy, as confirmed by energy dispersive spectroscopy (EDS). Differential scanning calorimetry (DSC) indicated an endothermic peak in the undoped alloy and minor thermal responses in Nd-doped samples, without distinct phase transitions within the 0–800 °C range. Mechanical testing demonstrated substantial enhancements in both hardness and tensile strength with increasing Nd content. The 5% Nd-doped alloy exhibited the highest performance, achieving a Vickers hardness of 370 HV and a tensile strength of 1186 MPa. Magnetic testing indicated ferromagnetic behavior in all samples, with Nd additions significantly enhancing magnetic properties. Notably, the 5% Nd-doped alloy achieved a saturation magnetization (Ms) of 41 emu/g and a coercivity (Hc) of 6.3 Oe, highlighting improved magnetic softness and rapid magnetization loss characteristic of soft magnetic materials.
AtıfScopus2WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ2Effects of Teach-Back intervention on teachers’ epilepsy knowledge, attitudes, self-efficacy, and first aid practices
Gürçayır, Dilek; Karabulut, Neziha; Söylemez, Nilgün
Purpose: This study investigates not only the impact of first aid training but also how the Teach-Back method influences teachers’ overall epilepsy knowledge, attitudes toward epilepsy, and self-efficacy in managing epileptic seizures. Methods: A total of 166 preschool teachers who filled out the questionnaire form and gave their consent were included in the study between April and June 2022. A quasiexperimental single-group pre-test post-test design was used in the study, Data were collected using the questionnaire form, Epilepsy Knowledge Scale, Childhood Epilepsy Attitude Scale and General Self-Efficacy Scale. The research data were collected by the researchers through face-to-face interviews. Results: It was determined that the rate of correct answers given by preschool teachers to most questions about first aid practices in epileptic seizures increased significantly after the training (p < 0.05). There was a significant improvement in preschool teachers’ first aid practices at the end of the training compared to before the training. The mean score of the Epilepsy Knowledge Scale before the training was 11.16 ± 4.04, after the training was 14.59 ± 2.08, and the difference was statistically significant (p < 0.001). The mean Childhood Epilepsy Attitude Scale score before the training was 47.90 ± 4.02, after the training was 51.53 ± 4.55, and the difference was statistically significant (p < 0.001). Conclusion: Epilepsy education significantly improved teachers’ knowledge and attitudes towards childhood epilepsy. However, the increase in general self-efficacy remained limited. This situation reveals the necessity of practical and long-term programs in addition to theoretical education.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2Synthesis, microstructural refinement, and shielding optimization of Gd2O3-reinforced AISI 316L stainless steel: a multi-dimensional integration assessment for targeted protection applications
Yayla, Nihal; Albayrak, M Gökhan; Güler, Ömer; Sen Baykal, Duygu; Alkarrani, Hessa; ALMisned, Ghada; Issa, Bashar; Tekin, H.O.
This study investigates the multi-dimensional effects of increasing Gd2O3 reinforcement on the structural, mechanical, and gamma-ray shielding properties of AISI 316L stainless steel composites. Samples with varying Gd2O3 content (1%, 5%, 10%, and 20% by weight) were synthesized and characterized through x-ray diffraction (XRD), scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDS) to assess the microstructural changes and homogeneity of Gd2O3 dispersion after mechanical milling. The addition of Gd2O3 significantly enhanced the gamma-ray shielding properties, with the mass attenuation coefficient (MAC), linear attenuation coefficient (LAC), and half-value layer (HVL) improving as the Gd2O3 content increased, particularly in low to moderate photon energy ranges. Simultaneously, the elastic modulus exhibited an inverse relationship, decreasing with higher Gd2O3 content due to the lower stiffness of gadolinium compared to iron. Transmission factor (TF) values also decreased, indicating enhanced photon attenuation with higher Gd2O3 content across various thicknesses. The experimental characterization confirmed improved Gd2O3 dispersion and material uniformity after mechanical milling, contributing to the composites’ superior radiation shielding performance. It can be concluded that Gd2O3-reinforced AISI 316L stainless steel composites offer a promising balance between enhanced radiation shielding properties and reduced mechanical stiffness, making them ideal candidates for applications requiring efficient and adaptable radiation protection especially for portable and non-structural shielding applications.
AtıfScopus3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Unraveling user perceptions and biases: A comparative study of ML and DL models for exploring twitter sentiments towards ChatGPT
Baker, Mohammed Rashad; Utku, Anil
ChatGPT is a powerful chatbot that used to generate human-like text. Chat GPT, developed by OpenAI, can answer many questions honestly, like a personal teacher who knows almost everything. It can perform various tasks such as question and answer, solving mathematical equations, writing text, debugging, and translating between languages. Compared to traditional chatbots, ChatGPT has been adopted by many users since its introduction. Some users feel that ChatGPT will override most content creation professions. This study analyzed users’ feelings about ChatGPT by analyzing tweets shared about ChatGPT. For this purpose, a hybrid Deep Learning (DL) model was developed using Convolutional Neural Networks (CNN) and Bi- Long Short-Term Memory (Bi-LSTM) models. The study has been compared with a number of DL and Machine Learning algorithms, LSTM, Bi-LSTM, CNN, Gated Recurrent Unit, Random Forests and Support Vector Machines. The experimental outcomes demonstrated that, the FastText-trained CNN-Bi-LSTM model exceeded the other models in terms of accuracy, reaching 96.59%.
AtıfScopus18WoS11OpenAlex13İncele - MakaleAçık Erişim2025Scopus SJRQ2Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs
Küçük, Deniz Bora; Imak, Andaç; Özçelik, Salih Taha Alperen; Çelebi, Adalet; Türkoğlu, Muammer; Sengur, Abdulkadir; Koundal, Deepika
Background/Objectives: The integration of digital imaging technologies in dentistry has revolutionized diagnostic and treatment practices, with panoramic radiographs playing a crucial role in detecting impacted teeth. Manual interpretation of these images is time consuming and error prone, highlighting the need for automated, accurate solutions. This study proposes an artificial intelligence (AI)-based model for detecting impacted teeth in panoramic radiographs, aiming to enhance accuracy and reliability. Methods: The proposed model combines YOLO (You Only Look Once) and RT-DETR (Real-Time Detection Transformer) models to leverage their strengths in real-time object detection and learning long-range dependencies, respectively. The integration is further optimized with the Weighted Boxes Fusion (WBF) algorithm, where WBF parameters are tuned using Bayesian optimization. A dataset of 407 labeled panoramic radiographs was used to evaluate the model’s performance. Results: The model achieved a mean average precision (mAP) of 98.3% and an F1 score of 96%, significantly outperforming individual models and other combinations. The results were expressed through key performance metrics, such as mAP and F1 scores, which highlight the model’s balance between precision and recall. Visual and numerical analyses demonstrated superior performance, with enhanced sensitivity and minimized false positive rates. Conclusions: This study presents a scalable and reliable AI-based solution for detecting impacted teeth in panoramic radiographs, offering substantial improvements in diagnostic accuracy and efficiency. The proposed model has potential for widespread application in clinical dentistry, reducing manual workload and error rates. Future research will focus on expanding the dataset and further refining the model’s generalizability.
AtıfScopus36OpenAlex34İncele - MakaleAçık Erişim2025Scopus SJRQ4Protective Effect of Sumac and Terebinth Extracts Against the Negative Effects of Breast Cancer on Cardiac Tissues of in Rats; [Efecto protector de los extractos de zumaque y terebinto contra los efectos negativos del cáncer de mama en los tejidos cardíacos de ratas]
Erişir, Figen Erdem; Aydın, Sevinç; Tuzcu, Zeynep; Yılmaz, Ökkeş
Due to the toxic side effects of chemotherapeutic drugs used in breast cancer, interest in medicinal plants has increased in order to develop alternative cancer drugs. The experimental model of this study was created to observe the remedial impacts of the Terebinth (Pistacia terebinthus L.) and the Sumac (Rhus coriaria L.) plants against the negative effects of 7,12-Dimethylbenz[a]anthracene induced breast cancer on cardiac tissues in rats. For this purpose, the levels of malondialdehyde were analyzed the indicator of the oxidative stress breast cancer will cause on cardiac tissues, the catalase, glutathione transferase and superoxide dismutase enzymes, glutathione, which holds and important place among antioxidant impacts and proteins. At the end of the study, it was determined that there was an increase in malondialdehyde levels, a decrease in glutathione and protein amounts, and a decrease in antioxidant enzyme levels in rats treated with cancer-induced 7,12-Dimethylbenz[a]anthracene.
- MakaleYalnız künye2025Scopus SJRQ2Phylogenetic analysis of the nrDNA ITS and cpDNA rbcL sequences of some endemic Dianthus (Caryophyllaceae) species from Türkiye
Sevindik, Emre; Güner, Özal; Yolcu, Seher; Başköse, İsa; Paksoy, Mehmet Yavuz; Khadivi, Ali; Tunç, Yazgan; Yaman, Mehmet
In this study, the phylogenetic relationship of four species of Dianthus genus which are endemic and distributed in Türkiye, including D. zederbaueri Vierch, D. varankii Hamzaoğlu & Koç, D. halisdemirii Hamzaoğlu & Koç, and D. goekayi Kaynak, was determined using nuclear DNA (nrDNA) internal transcribed spacer (ITS) and chloroplast DNA (cpDNA) rbcL regions. After sampling from the plant, DNA was extracted and the ITS (ITS4-ITS5A) and rbcL (rbcLaF-rbcLaR) primers were used to perform PCR amplification. Sequencer 5.4.6. was used to edit the sequences. MEGA 11 software was used to determine the nucleotide ratios, genetic distance matrix, and π = nucleotide diversity. Some species of Dianthus available in the National Center for Biotechnology Information (NCBI) were used to construct maximum likelihood (ML) phylogenetic trees. As a result, based on the ITS analysis π = nucleotide diversity was determined as: 0.001543, and the result of the rbcL analysis π = nucleotide diversity was determined as: 0.000000. In the ITS results, D. halisdemirii, D. superbus, and D. varankii appeared together, while D. zederbaueri and D. aculeatus appeared together. The rbcL results showed that D. zederbaueri and D. varankii were closely related, but the relationship between D. halisdemirii and D. goekayi could not be determined. Furthermore, in the phylogenetic tree constructed by taking the ITS and rbcL sequences of Dianthus, Gypsophila, Silene, Arenaria, Saponaria, Cerastium, Stellaria, Petrorhagia, Minuartia, Agrostemma, and Polycarpon species from NCBI using ITS and rbcL sequences, our endemic Dianthus species appeared in the same group with Petrorhagia, Gypsophila, and Saponaria species. To conclude, our ITS and rbcL results were consistent in determining the phylogenetic relationships of our Dianthus species with other species.
AtıfScopus1İncele - MakaleAçık Erişim2025Scopus SJRQ1Effect of Ferula sp. on sperm cryotolerance, quality, and fatty acid composition in common carp (Cyprinus carpio)
Ölçülü, Abdullatif; Özçiçek, Esin; Kutluyer Kocabaş, Filiz; Kızak, Volkan; Kocabaş, Mehmet; Yılmaz, Ökkeş
Ferula sp. is a perennial herbaceous plant and is used in traditional medicine owing to their antimicrobial, antiviral, aphrodisiac and spermatogenic activities in the world. Hence, Ferula sp. was used in the present study for cryopreservation protocol as a herbal supplement. The impact of different concentrations [0 mM (Control), 30 µg L−1, 60 µg L−1, 90 µg L−1] of Ferula sp. extract on the quality and fatty acid (FAs) composition was assessed in fresh and cryopreserved sperm of Cyprinus carpio. Optimal supplementation of Ferula sp. at a concentration of 60 µg L−1 in the freezing extender significantly improved post-thawed sperm quality of C. carpio. Sperm motility parameters were assessed using the sperm class analyzer system. The fatty acid (FAs) content in sperm was analyzed using gas chromatography. The results revealed that the increases in motility rate (80.0 ± 3.54%) at 60 µg L−1 were increased significantly (p < 0.05). Significant differences in sperm parameters [(VCL: curvilinear velocity, VSL: straight line velocity, VAP: average path velocity, and BCF: beat cross frequency)] were observed between the different treatments (p < 0.05). The Monounsaturated fatty acids (MUFAs) showed a slight increase in comparison to fresh spermatozoa during cryopreservation. DHA (Docosahexaenoic acid), LA (Linoleic acid) and ARA (Arachidonic acid) were identified as the major PUFAs (polyunsaturated fatty acid) in the sperm plasma membrane, and however the total PUFAs reduced all treated compared to fresh sperm samples after post-thawing. Overall, the supplementation with Ferula sp. to extender at a concentration of 60 µg L−1 positively influenced the motility parameters and FAs levels during cryopreservation and, Ferula sp. may act as a promising protective substance for the conservation of valuable fish genetic resources.
AtıfScopus1İncele - MakaleAçık Erişim2025Scopus SJRQ2Localization of phoenixin-14 and nesfatin-1, known as pleiotropic peptides, in some central and peripheral organs of female and male rats
Esen, Engin; Parlak Ak, Tuba; Yaman, Mine
Neuropeptides are diverse neuronal signaling molecules that regulate cellular and physiological functions. Phoenixin (PNX) and Nucleobindin 2 (NUCB2)/nesfatin-1, which are known to co-localize and interact in some hypothalamic nuclei such as arcuate nucleus (ARC) and paraventricular nucleus (PVN), have important pleiotropic roles. The aim of this study was to investigate the immunohistochemical distribution of these neuropeptides in biological tissues of adult female and male rats. For this purpose, a total of 12 Spraque-Dawley rats, 6 female and 6 male, aged 3–4 months, were sacrificed and hypothalamus, pituitary, brain, cerebellum, adrenal gland, ovary and testis tissues were taken. Serum gonadotropin-releasing hormone (GnRH), plasma PNX-14, and NUCB2/nesfatin-1 concentrations showed no statistically differences between sexes. PNX-14 immunoreactivity was more prominent in the ARC of male rats, whereas NUCB2/nesfatin-1 immunoreactivity was markedly higher in the PVN of females. In the anterior pituitary, PNX-14 and NUCB2/nesfatin-1 staining was more intense in females relative to males. PNX-14 immunoreactivity in the brain was quite high in female and male rats, and this immunoreactivity in the cerebellum was low in both sexes. NUCB2/nesfatin-1 exhibited moderate immunoreactivity in these organs in both sexes. In the adrenal cortex of both sexes, PNX-14 immunoreactivity was quite intense, while NUCB2/nesfatin-1 was a moderate intensity. PNX-14 immunoreactivity was more intense in the ovary, whereas NUCB2/nesfatin-1 immunoreactivity was more prominent in the testis. In conclusion, we demonstrated the immunohistochemical localization of PNX-14 and NUCB2/nesfatin-1 neuropeptides, in conjunction with serum GnRH levels, in organs associated with the hypothalamic-pituitary-gonadal (HPG) and hypothalamic-pituitary-adrenal (HPA) axes of adult male and female rats.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ4A Classification of N(κ)-contact Metric Manifolds with T-curvature Tensor
Ünal, İnan; Altın, Mustafa; Pandey, Shashikant
In this study, we consider various geometric conditions associated with the vanishing of a generalized curvature tensor, namely the T-tensor, on N(κ)-contact metric manifolds. We define and analyze several types of T-flatness conditions, including T-flat, ξ-T-flat, quasi-T-flat, and φ-T-flat structures. By applying these flatness conditions, we obtain algebraic constraints on the curvature parameters, particularly involving the Ricci tensor. The resulting characterizations allow for the classification of N(κ)-contact metric manifolds as either Einstein or η-Einstein, depending on the specific values of the structure constants. These investigations also lead to deeper insights into the geometric structure and local isometry types of the manifolds under study.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Blending effects of boron carbide and lanthanum(III) oxide reinforcements on the structural, physical, mechanical, and radiation shielding properties of 316L-stainless steel composites for nuclear applications
ALMisned, Ghada; Yayla, Nihal; Albayrak, M.Gökhan; Güler, Ömer; Baykal, Duygu Sen; Alkarrani, Hessa; Tekin, H.O.
Four composite samples were fabricated, maintaining 10 % B4C and varying La2O3 content from 0 % to 20 %. X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray Spectroscopy (EDX) analyses confirmed the successful incorporation of reinforcements, preserving the austenitic structure of 316L-SS. Elastic modulus calculations revealed a gradual reduction from 225.0 GPa to 215.0 GPa with increasing La2O3 due to clustering and reduced homogeneity. Gamma-ray shielding properties demonstrated significant improvements, particularly at low and intermediate photon energies, with Sample 4 with 20 % La2O3 addition, achieving a 13.6 % higher linear attenuation coefficients (LAC) at 0.015 MeV. Neutron shielding highlighted Sample 4 as one of the most effective materials, outperforming conventional alloys. This study demonstrates the potential of 316L Stainless-Steel (316L-SS) + B4C + La2O3 composites as multifunctional materials for radiation-intensive applications, offering superior attenuation and structural stability. It can be concluded that optimization of reinforcement distribution would play an important role in balancing mechanical and shielding performance in next-generation nuclear materials.
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