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- MakaleYayıncıda açık erişim2025Scopus SJRQ2A structured educational model to improve the education of nurses: Case-based learning
Aydın, Aydanur
Background: Case-based training is a crucial component of nursing education, providing students with opportunities to enhance clinical reasoning, critical thinking, and professional behavior. However, few studies integrate these constructs into measurable educational outcomes. Methods: This study aims to look at the influence of online care training, which is based on case studies in surgical illnesses nursing, on students' care behaviors and self-efficacy levels. Participants were randomly assigned to undergo case-based education or traditional instruction. One hundred and four undergraduate nursing students from one university were chosen to participate. The structure is logical, with causal relationships between claims and a clear order of information. The researcher used an online platform to collect data from students in both groups before and three months after training. The introduction features form comprised the caring behavior scale (CBS) and questions to assess nursing students' self-efficacy. Results: Before the training, there was no discernible difference in the levels of care exhibited by the participants or in their self-efficacy. Nevertheless, a notable alteration was observed in the CBS scores of the intervention group students following the training period. Their CBS and self-efficacy scores surpassed those of the control group. The results of the regression analysis indicated that age, gender, place of residence, and caring assessment scores did not exert a significant influence on the total score of the Caring Behavior Scale. Conclusion: The findings of the research indicated that structured case-based nursing education was an effective method for fostering the development of caring behaviors among students.
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İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ2Convergence on Kirk Iteration of Cesàro Means for Asymptotically Nonexpansive Mappings
Cona, Lale; Şimşek, Deniz
This article addresses the convergence of iteration sequences in Cesàro means for asymptotically nonexpansive mappings. Specifically, this study explores the behavior of Kirk iteration in the Cesàro means in the context of uniformly convex and reflexive Banach spaces equipped with uniformly Gâteaux differentiable norms. The focus is to determine the conditions under which the Kirk iteration sequence converges strongly or weakly to a fixed point. Finally, some examples are given in this article to demonstrate the advantages of the preferred iteration method and to verify the results obtained.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ2The relationships between the multidimensional planned behavior model, green brand awareness, green marketing activities, and purchase intention
Baltaci, Duygu Çinar; Durmaz, Yakup; Baltaci, Furkan
Introduction: This study investigates the determinants impacting consumer purchasing behavior. Methods: Utilizing multidimensional planned behavior theory alongside measures of brand awareness and green brand awareness, this study examines the mediating role of multidimensional planned behavior theory. Empirical data were gathered through a survey conducted among Generation Z university students, yielding 638 responses. Analysis was performed on 590 valid responses. Results: Findings indicate that green marketing initiatives and green brand awareness positively influence consumers’ purchase intentions. Subdimensions of the theory of planned behavior (TPB), namely, attitude, subjective norms, and perceived behavioral control, serve to strengthen these relationships and mediate the interaction process. Conclusion: This study contributes novel insights to the burgeoning field of green marketing literature, offering a structural model for firms and policymakers. It suggests that companies can effectively engage in informal consumer education through green marketing efforts, thereby influencing consumers’ purchasing decisions via planned behavior. Moreover, such activities foster an increase in consumers’ green brand awareness, providing companies with an opportunity to promote conscious consumer behavior. The study's utilization of the TPB is both timely and original, particularly in its alignment with the United Nations 2030 Sustainable Development Goals.
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İncele - MakaleYalnız künye2025Scopus SJRQ1A deep neural network combined with a two-stage ensemble model for detecting cracks in concrete structures
Reis, Hatice Catal; Turk, Veysel; Kaya Yildiz, Cagla Melisa; Bozkurt, Muhammet Furkan; Karagoz, Seray Nur; Ustuner, Mustafa
Detection of cracks in concrete structures is critical for their safety and the sustainability of maintenance processes. Traditional inspection techniques are costly, time-consuming, and inefficient regarding human resources. Deep learning architectures have become more widespread in recent years by accelerating these processes and increasing their efficiency. Deep learning models (DLMs) stand out as an effective solution in crack detection due to their features such as end-to-end learning capability, model adaptation, and automatic learning processes. However, providing an optimal balance between model performance and computational efficiency of DLMs is a vital research topic. In this article, three different methods are proposed for detecting cracks in concrete structures. In the first method, a Separable Convolutional with Attention and Multi-layer Enhanced Fusion Network (SCAMEFNet) deep neural network, which has a deep architecture and can provide a balance between the depth of DLMs and model parameters, has been developed. This model was designed using a convolutional neural network, multi-head attention, and various fusion techniques. The second method proposes a modified vision transformer (ViT) model. A two-stage ensemble learning model, deep feature-based two-stage ensemble model (DFTSEM), is proposed in the third method. In this method, deep features and machine learning methods are used. The proposed approaches are evaluated using the Concrete Cracks Image Data set, which the authors collected and contains concrete cracks on building surfaces. The results show that the SCAMEFNet model achieved an accuracy rate of 98.83%, the ViT model 97.33%, and the DFTSEM model 99.00%. These findings show that the proposed techniques successfully detect surface cracks and deformations and can provide practical solutions to real-world problems. In addition, the developed methods can contribute as a tool for BIM platforms in smart cities for building health.
AtıfScopus2WoS2OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ3Interpretable machine learning for rapid prediction and calibration of HPGe detector efficiency: a physics-informed approach and online platform
Yesilkanat, Cafer Mert; Celik, Necati; Celik, Ahmet; Cevik, Ugur
This study introduces a novel, physics-informed, and calibration-friendly hybrid machine learning framework for the rapid and accurate prediction of the Full Energy Peak (FEP) efficiency in High-Purity Germanium (HPGe) detectors. To overcome the limitations of conventional “black-box” models, our two-stage approach first represents the FEP efficiency curve using a physically interpretable logarithmic polynomial. Subsequently, machine learning models were trained to predict the polynomial coefficients directly from the detector geometric parameters using a comprehensive dataset generated via Monte Carlo simulations. Among the various algorithms tested, the Generalized Linear Model yielded superior performance, achieving R2 values of 0.975–0.992 for the coefficients. While raw model predictions showed expected variability, a key feature of our framework (a single-point calibration protocol using one known efficiency value) dramatically improved accuracy, reducing the mean absolute percentage error by an average of 80% on the independent test data. The calibrated model was further validated using an experimental detector. The entire framework was deployed as a user-friendly online platform, enabling researchers to instantly generate and calibrate efficiency curves. Our work successfully harmonizes interpretability, speed, and accuracy, offering a powerful tool for the design, optimization, and routine calibration of HPGe detectors.
AtıfScopus4WoS3OpenAlex3İncele - MakaleYalnız künye2024Scopus SJRQ1Efficacy of Propolis in the Prevention of Oral Mucositis in Patients Undergoing High-Dose Chemotherapy
Çakmak, Seher; Nural, Nesrin
Background: Oral mucositis is one of the most common symptoms in adults with a hematological cancer who are receiving high-dose chemotherapy. Propolis is a complementary and alternative method used to prevent oral mucositis in these patients. Objective: The aim of this study was to determine the efficacy of propolis in the prevention of oral mucositis in patients receiving high-dose chemotherapy and/or hematopoietic stem cell transplantation. Methods: A total of 64 patients, 32 in the propolis group and 32 in the control group, were enrolled in this prospective randomized controlled experimental study. Whereas the standard oral care treatment protocol was administered to the control group, aqueous propolis extract was applied to the propolis intervention group in addition to the standard oral care treatment protocol. Data collection forms included a Descriptive Information Form, the Karnofsky Performance Scale, the Cumulative Illness Rating Scale-Geriatric, Patient Follow-up Form, the World Health Organization Oral Toxicity Scale, and the National Cancer Institute Common Terminology Criteria for Adverse Events. Results: The incidence and duration of oral mucositis were statistically significantly lower in the propolis intervention group than the control group, and the onset of oral mucositis and grade 2 to 3 oral mucositis occurred later (P < .05). Conclusion: Propolis mouthwash combined with standard oral care treatment delayed the onset of oral mucositis and decreased its incidence and the number of days it lasted. Implications for Practice: Mouthwash with propolis can be used as a nursing intervention to decrease oral mucositis and its symptoms in hematological cancer patients receiving high-dose chemotherapy.
AtıfScopus8WoS7OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ1A strategy for the one-pot direct production of 5-hydroxymethylfurfural (HMF) from sucrose using organic weak acid in situ as a catalyst
Gül, Abdulkadir; Tanyıldızı, Muhammet Şaban
5-Hydroxymethylfurfural (HMF), which can be produced in high yields by acid-catalyzed dehydration of carbohydrates, is used as a feedstock in biofuel and biopolymer production. However, these acidic catalysts are usually added externally, which increases HMF production costs. Furthermore, other important parameters for high yields of HMF production are raw material selection, reaction medium, and separation-purification processes. The aim of this study is to produce HMF in one-pot without the addition of any exogenous catalyst by evaluating the fructose remaining in the production medium in which the glucose from sucrose hydrolysis is microbially fermented into gluconic acid (GA). HMF production from fructose in a biphasic system consisting of a fermentation liquid containing GA and fructose and 2-Methyltetrahydrofuran (2-MeTHF) was optimized using Central Composite Design (CCD). The variables examined included reaction time, reaction temperature, solvent type, salt type, and organic/aqueous phase ratio. In the study, by chelating GA and calcium ions, the low degree of ionization of GA was increased, and HMF was produced in high yields without the addition of a catalyst. Under optimum conditions, using 2-MeTHF/ fermentation liquid (6:1) and 7.56 wt% CaCl2, the yield of HMF produced in pressurized (hydrothermal) vessels at about 147 °C for 158 min reached 77.6 % of the theoretical yield. The amount of GA in the production medium was 92.64 % preserved from degradation. GA and HMF in different phases of the biphasic system were purified from the production medium in high yields. Furthermore, 2-MeTHF, which constitutes the organic phase of the biphasic system, was recovered at approximately 95 % by vacuum evaporation. As a result, HMF production from sucrose, which is a more economical and abundant raw material compared to glucose and fructose, was realized in one-pot without the addition of any catalyst.
AtıfScopus6WoS5OpenAlex7İncele - MakaleAçık Erişim2024Scopus SJRQ2Gluconic Acid Production by Using Recombinant Escherichia coli Waksman pqq+ Cells with a Novel Approach from Biomass Sources
Gül, Abdulkadir; Tanyıldızı, Muhammet Şaban
Gluconic acid (GA) is widely used in the pharmaceutical, food, detergent, textile, leather, and concrete industries. However, cost-effective and high-yield production of GA remains a challenge. Due to currently high raw material inputs of GA, various alternative carbohydrate sources are being investigated. Sucrose is one of the cost-effective biomass sources that can be used as feedstock. The most common industrial production of GA is based on wild-type bacteria and fungi, but there are many problems with this production. This study aimed to optimize the production of GA from glucose produced by hydrolysis of sucrose using recombinant E. coli Waksman (W) pqq+ strain. After sucrose was enzymatically hydrolyzed, significant medium components for GA production were determined as glucose, calcium carbonate (CaCO3), peptone, and ammonium phosphate ((NH4)3PO4) using Placket-Burman Design (PBD). Detailed optimization of the medium components that are significant in GA production was carried out using central composite design (CCD), and optimum values of the independent variables examined in maximum GA production (93.5 ± 2.95 g/L) were determined as glucose 95, CaCO3 25, peptone 2, and (NH4)3PO4 1.13 (g/L). Using results obtained in the Erlenmeyer experiments, GA production in the bioreactor was investigated by CCD. The maximum GA efficiency (3.20 ± 0.15 g/L. h) was obtained under conditions where the air supply rate was 10.82 L/min, stirring speed was 656.87 rpm, and CaCO3 concentration was 16.90 g/L. In conclusion, it has been shown that GA can be produced with a high yield with this novel approach using a recombinant strain for GA production from sucrose.
AtıfScopus5WoS5OpenAlex5İncele - MakaleAçık Erişim2025Scopus SJRQ1The Protective Effect of Boric Acid Against High Fructose-Induced Liver and Kidney Damage in Rats
Yüksel, Duygu; Başeğmez, Mehmet; Kan, Fahriye
This study aimed to determine the protective role of boric acid (BA) in high fructose (HF)-induced liver and kidney toxicity in a young rat model. High-fructose consumption causes serious damage to liver and kidney tissue in healthy individuals and contributes to the emergence of various metabolic diseases. Thirty-two healthy female Wistar albino rats (250–300 g weight and 3–4 months) were randomly distributed into four equal groups (n = 8): control, high fructose % 20 (HF), boric acid 20 mg/kg (BA), and HF + BA. High fructose was freshly prepared and administered to the rats as 20 g of d-fructose dissolved in 100 mL of tap water daily for a duration of 30 days. Boric acid (20 mg/kg) was administered through gastric gavage throughout the 30-day study period. At the end of study, blood, liver, and kidney were collected from rats. The results indicated that high fructose induced increased glucose, total cholesterol, triglyceride, and urea levels in rat serum. Boric acid administration significantly decreased glucose, total cholesterol, triglyceride, and urea levels in HF + BA groups. The results indicated that high fructose-induced oxidative stress by increasing the level of MDA and by decreasing GSH levels, and CAT activity in the liver and kidney of rats. However, oral BA administration significantly decreased MDA levels and increased GSH levels, and CAT activity (p < 0.05). Furthermore, BA significantly reduced high fructose-induced histopathological and Immunohistochemistry alteration in the liver and kidney tissues. In conclusion, BA may prevent the oxidative imbalance and histopathological and immunohistochemical damage caused by high fructose in liver and kidney tissues in rats.
AtıfScopus4WoS3OpenAlex3İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ3An Analysis on The Relationship of Organic Honey Production and The Number of Producers with Growth, Employment, and Agricultural Employment in Türkiye; [Türkiye’de Organik Bal Üretimi ve Üretici Sayısı ile Büyüme, İstihdam ve Tarımsal İstihdam Arasındaki İlişkinin Tespitine Yönelik Bir Analiz]
Merdan, Kurtuluş
The growing world population has driven humanity to produce more food, potentially leading to the neglect of quality and safety in food production. Evolving life conditions and technological progress have altered the consciousness level of humanity, bringing about new demands in some communities due to high income. Organic beekeeping has developed within this structure and tends to flourish as a model in Türkiye. Organic beekeeping has increased the income from beekeeping. It is practiced in natural unspoiled areas with no conventional feeding and chemical pesticides and requires supervising all processes through inspection and certification. Besides organic honey, the most common organic beekeeping product, organic bee products include bee pollen, propolis, royal jelly, beeswax, and bee venom. This study presents the economic analysis of organic honey production volume in Türkiye. For this purpose, the short and long-term relationships of organic honey production and the number of producers with economic growth, employment, and agricultural employment were analyzed. In addition, organic honey production and the number of organic honey producers were examined as driving forces for growth, employment, and agricultural employment. In this context, annual time series data between 2004 and 2022 were used as the sample. According to the analysis, organic honey production, an independent variable, had no long-term relationship with employment and agricultural employment variables, whereas it had a long-term relationship with the growth variable. The number of organic honey producers, another independent variable, was found to have no long-run relationship with the employment variable; however, it had a long-term relationship with the growth and agricultural employment variables. The findings of the study indicated that organic honey production did not drive growth, employment, or agricultural employment. On the other hand, the number of organic honey producers led to growth, yet not to employment or agricultural employment.
- MakaleAçık Erişim2025Scopus SJRQ2Some physical and mechanical properties of particle boards produced from industrial wood chips and Scots pine (Pinus sylvestris) cones
Karahan, Selim; Guler, Cengiz
This study investigated the potential use of Scots pine cones as an alternative raw material to larch wood chips for particle board production. Due to the increasing scarcity of forest resources, exploring alternative raw material for the forest industry has gained importance in in recent years. Particle boards were produced in laboratory conditions by blending industrial wood chips with Scots pine cones in varying proportions (25 %, 50 %, 75 % and 100 %) and usingr urea formaldehyde glue. The adhesice mixture contained 55 % urea formaldehyde glue and 33 % ammonium chloride as a hardener. Te production parameters included a press temperature of 150 °C, a press time was 7 minutes, and a press pressure of 2,4 MPa to 2,6 MPa. The resulting boards had a thickness of 16 mm and a density ranging from 730 kg/m3 to 740 kg/m3. Tests for thickness iswelling, water absorption, bending strength, modulus of elasticity and tensile strength perpendicular to the surface were conducted. Results showed that the physical and mechanical properties of the boards containing up to 25 % Scots pine cone met the required standards.
AtıfScopus2WoS2OpenAlex3İncele - MakaleAçık Erişim2024Scopus SJRQ1Nurse-led support impact via a mobile app for breast cancer patients after surgery: a quasi-experimental study (step 2)
Aydin, Aydanur; Gürsoy, Ayla
Breast cancer patients may experience some health issues following surgery. Training patients about self-care plays a vital role in managing these symptoms. Mobile applications are a contemporary and appropriate approach to support patients about the potential symptoms following breast cancer surgery. This quasi-experimental study aimed to assess the impact of nurse-led support mobile application (NL-Mapp) delivered on breast cancer patients after surgery. Ninety participants were recruited, with 45 assigned to the intervention group and 45 to the control group. Subjects in the intervention group received NL-Mapp in addition to routine care, while those in the control group received only routine care over four weeks. The intervention included educational content on the postoperative period of breast cancer. Outcomes were assessed at baseline (M0), before discharge (M1), and one month after surgery (M2). The intervention group patients had significantly improved pain, affected shoulder functions, and anxiety owing to the effects of group, time, and group-time interaction. Body image and sexual adjustment were enhanced based on time and group-time interaction effects. During the follow-up period, experimental group patients experienced an improvement in body image and sexual adjustment, while those in the control group showed a decrease. This suggests that NL-Mapp may play a significant role in training breast cancer patients to manage their symptoms after surgery.
AtıfScopus10WoS10OpenAlex5İncele - BildiriYalnız künye2025Multi Objective Reinforcement Tuning for Responsible Generative AI in Automated Financial Advisory Systems
Bhandarkar, Vishakha D; Genemo, Musa Dima; Muda, Iskandar; Murugan, Rekha; Sreeram, G.; Dharani, N.
Generative AI in a financial context poses risks to the areas of regulatory compliance, accuracy in the content being delivered, and appropriateness in terms of emotion. This research proposes ReFiGen, a framework that can be used to create compliant financial content that is compliant with the regulatory framework and the sentiment of the users. Following domain-specific fine-tuning, ReFiGen blends sentiment alignment with reinforcement learning to optimize on compliance. It demonstrates better performance than baseline models with a high data accuracy rate of 98.35 percent and can generate a fluent output that is emotionally congruent, and regulation-minded. The results of experiments indicate that ReFiGen is both clear and coherent and exactly follows financial guidelines. This practice affirms that the combination of unstructured compliance modeling and affective control is a successful aspect of LLMs. ReFiGen is one of the milestones on the journey of trustworthy and ethically aligned AI in the financial advisory market.
- Kitap BölümüYalnız künye2025Scopus SJRQ4The Robust Method for Solving the Conformable Time-Fractional Klein–Gordon Equation
Anaç, Halil
The present study used the conformable fractional q-Shehu homotopy analysis transform method to investigate the conformable time-fractional Klein–Gordon equations with proportional delay. The numerical answers to this problem are graphed using Maple software. The efficacy and consistency of the proposed method have been demonstrated through numerical simulations.
- Kitap BölümüYalnız künye2025Scopus SJRQ4Investigation of Fractional Order Genesio-Tesi System Using Laplace Transformation
Bekiryazici, Zafer; Sengul, Suleyman; Merdan, Mehmet
In this paper the fractional-order Genesio-Tesi chaotic system is investigated with Laplace transformation method. Genesio-Tesi system is a three-dimensional equation system with quadratic nonlinearity and is frequently used for exemplifying chaotic systems. In this study, Caputo fractional derivative is used to obtain the fractional system and Laplace transformation is applied in order to analyze the explicit solutions of the system.
- MakaleYalnız künye2025Scopus SJRQ2Development of gluten-free cookie using composite flour from corn and lentil flours: Study by response surface methodology
Bursa, Batuhan; İlyasoğlu, Huri
The demand for gluten-free foods has increased due to health-based issues and lifestyle choices. This study aimed to develop a gluten-free cookie with enhanced nutritional value. For this reason, the composite flour from corn flour (CF) and lentil flour (LF) was prepared for cookie formulation. To eliminate the possible negative impact of LF on the sensorial properties of the cookie, lemon peel powder (LPP) was incorporated into the cookie formulation. The effects of the LF level of composite flour and the incorporation level of LPP on the physical, textural, and sensorial properties of the cookie were investigated via response methodology. The optimal levels were found as 16 g LF and 1 g LPP for 100 g composite flour. The physical, textural, and sensorial properties, proximate composition, vitamin C and total phenolic contents, and antioxidant capacity of the developed cookie and control cookies were determined. The developed cookie had a higher nutritional value than the control cookie made from CF in terms of protein, dietary fibre, ash, and vitamin C. Moreover, it presented higher total phenolic content and radical scavenging activity. According to these results, the developed cookie can be proposed for a gluten-free diet.
AtıfScopus3WoS2İncele - MakaleYalnız künye2024Scopus SJRQ1Education and reproductive health: evidence from schooling expansion in Turkey
De, Prabal K.; Tümay, Muhammed
We investigate the role of additional years of schooling mandated by a compulsory schooling expansion law in affecting reproductive preferences and safe reproductive health behaviors in Turkey—a middle-to-high-income country with gender inequity in education but overall high levels of safe reproductive health practices at the time of passing the law. Using a fuzzy regression discontinuity design, we find that the additional schooling improved several health behaviors. However, the effects on some outcomes commonly analyzed in the existing literature, such as contraceptive use or fertility, were either weak or insignificant. Overall, our findings complement the current literature on the marginal health benefits of schooling expansion and suggest that policymakers consider the institutional and cultural factors while evaluating the scope and potential non-educational benefits of such expansions.
- MakaleAçık Erişim2025Scopus SJRQ3Superconducting Properties of Welded Three Top-Seeded YBa2Cu3O7−x Produced with NdBCO/YBCO/MgO Thin-Film Seed
Batur, Kübra Nur; Duman, Şeyda; Çakir, Bakiye; Başoğlu, Mehmet; Aydiner, Alev
This study investigates hollow single-crystal top-seeded melt growth (TSMG) YBa2Cu3O7−x (YBCO or Y123) samples welded with Ag-added TSMG YBCO solder materials produced using NdBCO/YBCO/MgO thin-film seeds. Three main samples and one solder material are produced by the TSMG method. In order to increase the dimensions of the bulk YBCO superconductor, two slices of the solder material and the main samples are stacked on top of each other with the c-axis parallel and welded at 1030 °C. X-ray diffraction patterns, polarized optical photographs, and SEM micrographs are taken to determine the structural properties of the samples. A preferential orientation in the c-axis is observed with a good connection. Low-temperature resistance and magnetization measurements are made for the specimens taken from the welding region. A sharp superconducting transition occurs at 0 T around 93 K for welding regions of W-ab and W-bc specimens. The critical current densities (Jc) are high as in the main samples. At the same time, the Jc values at 77 K and 0 T are found as 1.54 × 104, 1.98 × 104, 2.21 × 104, 2.31 × 104, and 2.36 × 104A cm−2 for the W-a, W-ab, W-b, W-bc, and W-c specimens, respectively. The single-grain feature is not impaired; thus, the absence of additional grain boundaries facilitates the current passage.
- MakaleAçık Erişim2024Scopus SJRQ3Prevalence and Determinants of Workplace Violence Against Pediatric Emergency Healthcare Workers and Its Effect on Their Psychological Resilience
Ustuner Top, Fadime; Kulakaç, Nurşen; Cam, Hasan Hüseyin
The study aimed to determine the prevalence and risk factors of workplace violence (WPV) against pediatric emergency healthcare workers and evaluate the relationship between WPV and psychological resilience. This study is cross-sectional and correlational. According to the results, the prevalence of WPV was 69.8%, and its distribution was as follows: verbal abuse (56.9%), bullying/mobbing (37.6%), physical abuse (12.8%), and sexual abuse (2.2%). Being single/separated/divorced/widowed (odds ratio [OR]: 1.85, 95% confidence interval [CI]: 1.03-3.30), being a physician (OR: 4.74, 95% CI: 1.73-12.96), being a staff member (OR: 2.57, 95% CI: 1.10-5.99), routine direct physical contact with patients/clients (OR: 2.77, 95% CI: 1.40-5.48), and lack of encouragement to report WPV (OR: 3.76, 95% CI: 2.01-7.01) were independent predictors of WPV (P <.05), and WPV was found to be associated with low psychological resilience. Arrangements related to violence prevention, preparation, and intervention should be made and maintained in all pediatric emergency departments.
AtıfScopus8WoS8OpenAlex9İncele - MakaleAçık Erişim2025Scopus SJRQ4First Molecular Data for the Genus Kovalius (Opiliones: Sclerosomatidae: Leiobuninae) and their Phylogenetic Relationships; [Kovalius (Opiliones: Sclerosomatidae: Leiobuninae) Cinsinin İlk Moleküler Verileri ve Filogenetik İlişkileri]
Kurt, Pınar; Yildirim Doğan, Nalan
Kovalius (Opiliones: Sclerosomatidae: Leiobuninae) is a small genus of harvestmen described by Tchemeris, 2023. The first description of Kovalius logunovi was made from Russia and it was subsequently recorded from Türkiye on the basis of the morphological data. The use of morphological data alone for the identification of taxa and determination of their relationships may lead to limitations and difficulties in some cases. As a result, the use of molecular data in addition to the morphological data in the identification of new taxa and determination of phylogenetic relationships increases the reliability of studies. In this study, the mitochondrial 16S rRNA gene region of the Kovalius logunovi species was examined for the first time and a sequence of approximately 408 bp was obtained. Based on these data, the phylogenetic relationships of the species with similar species were revealed.
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