2,523 results match your criteria: "Recep Tayyip Erdogan University[Affiliation]"

This study aimed to assess the illness perceptions of patients diagnosed with hypertension from a primary care perspective. It also sought to identify the sociodemographic and clinical factors associated with illness perception. A cross-sectional descriptive study was conducted between February and March 2025, involving 116 hypertensive patients who attended family medicine outpatient clinics at Rize Training and Research Hospital, Turkey.

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Objectives: The aim of this epidemiological study is to present the distribution of histopathological results of endometrial biopsies performed for indications in women and their relationship with symptoms.

Methods: A retrospective analysis was conducted on patients with abnormal uterine bleeding (AUB) assessed by endometrial biopsy between January 2020 and July 2022. Analyzing the distribution and association of patients' demographic traits, biopsy motivations, and histopathologic findings was the main goal of the study.

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Tebuconazole (TBZ), a triazole-class fungicide widely used in agriculture, is frequently detected in aquatic environments due to runoff and leaching, where it poses a threat to non-target aquatic organisms. This study investigates the acute toxicity of TBZ on juvenile rainbow trout (), a commercially important cold-water fish species. The 96 h LC value was determined to be 9.

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Background: Premenstrual syndrome (PMS), characterized by physical, psychological, and behavioral symptoms occurring during the luteal phase of the menstrual cycle, affects more than 48% of women of reproductive age worldwide. The aim of the research is to examine the relationships between hedonic hunger, food cravings, and emotional eating in relation to PMS among Turkish female nursing students.

Method: This cross-sectional and descriptive study was conducted on 207 female undergraduate nursing students.

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In silico multitargeted molecular docking study of interacting partners of epibrassinolide in cancer cells and in vitro evaluation of cell death mechanisms associated with these partners.

J Steroid Biochem Mol Biol

August 2025

Istanbul Medeniyet University, Dept. of Molecular Biology and Genetics, Istanbul 34600, Türkiye; Istanbul Medeniyet University, Science and Advanced Technology Research Center, Istanbul 34700, Türkiye. Electronic address:

Elucidating the mechanisms of action of natural metabolites may be promising in the emergence of alternative candidate therapeutics. In the present study, the combined approaches of in silico molecular docking (MD) and in vitro analyses were conducted to investigate the interacting partners of 24-epibrassinolide (EBR) as a steroid-derived phytohormone in cancer cells and evaluate the cell death mechanisms associated with these partners. EBR scoring functions were initially calculated against the selected 35 functional target proteins, which may interact with steroids, for tumor biology using AutoDock Tools-1.

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Effect of Hypertension on Long-term Adverse Clinical Outcomes and Liver Fibrosis Progression in MASLD.

J Hepatol

August 2025

MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China; Institute of Hepatology, Wenzhou Medical University, Wenzhou, China; Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Provin

Background & Aims: Hypertension is common in metabolic dysfunction-associated steatotic liver disease (MASLD), but its impact on long-term clinical outcomes and disease progression remains unclear. This study investigated the association of hypertension and risk of adverse clinical outcomes and progression of liver stiffness/fibrosis in MASLD.

Methods: Three multicenter prospective cohorts were analyzed: the UK BioBank (UKBB) cohort to assess the risk of adverse clinical outcomes, the VCTE-Prognosis cohort to assess liver stiffness/fibrosis progression, and the Paired Liver Biopsy cohort to assess histologic liver fibrosis progression.

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Atherosclerotic cardiovascular diseases are the leading causes of morbidity and mortality in patients undergoing peritoneal dialysis and hemodialysis due to end-stage renal disease. Dyslipidemia is a major contributing factor to the development of atherosclerotic cardiovascular diseases, and its prevention is recommended to reduce cardiovascular risk. Several studies have demonstrated the presence of dyslipidemia in patients with chronic kidney disease, and peritoneal dialysis patients have been observed to have a more atherogenic lipid profile compared to those receiving hemodialysis.

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Agricultural greenhouse gas emissions on the planet threaten both food security and climate change. The United Nations is calling for food security and sustainable agriculture to end hunger by 2030. Sustainable Development Goal 2.

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Background: The Bosniak classification system is widely used to assess malignancy risk in renal cystic lesions, yet inter-observer variability poses significant challenges. Large language models (LLMs) may offer a standardized approach to classification when provided with textual descriptions, such as those found in radiology reports.

Objective: This study evaluated the performance of five LLMs-GPT‑4 (ChatGPT), Gemini, Copilot, Perplexity, and NotebookLM-in classifying renal cysts based on synthetic textual descriptions mimicking CT report content.

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Introduction: The Janus kinase/signal transducer and activator of transcription signaling pathway orchestrates crucial aspects of immune regulation, including cytokine signaling, cellular proliferation, differentiation, and apoptosis. Dysregulation of this pathway due to gain- or loss-of-function mutations significantly contributes to the development of inborn errors of immunity and various immune-mediated disorders. Understanding the molecular basis of these abnormalities is fundamental for enhancing diagnostic precision and developing targeted therapies.

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Objective: Breast cancer is the most common cancer and the leading cause of cancer-related deaths in women. Texture analysis provides crucial prognostic information about many types of cancer, including breast cancer. The aim was to examine the relationship between texture features (TFs) of 2-deoxy-2[F] fluoro-D-glucose positron emission tomography (PET)/computed tomography and disease progression in patients with invasive breast cancer.

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The Natural Resistance-Associated Macrophage Protein (NRAMP) family consists of integral membrane transporters essential for divalent metal ion transport in plants. This study aimed to identify and characterize NRAMP genes in tomato (Solanum lycopersicum), performing genome-wide classification, and cis-elements analysis, revealing four SlNRAMP genes in the tomato genome. Phylogenetic analysis classified the four SlNRAMP proteins into two distinct groups, group A and group B.

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This study investigates, for the first time, the biological characteristics and population dynamics of the golden grey mullet (Chelon auratus) captured along the Southeastern Black Sea coast. A total of 324 specimens, comprising 142 females (43.83%) and 182 males (56.

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Background: Major depressive disorder (MDD) is a serious mental disorder that is common worldwide and is associated with somatic symptoms. Cognitive and behavioral problems caused by depression can negatively affect problem-solving skills, and somatic symptoms related to depression can intensify this effect. Although the relationship between depression and problem-solving skills has been investigated in the literature, the mediating role of somatic symptoms in this relationship has not been sufficiently examined.

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Attention-enhanced hybrid deep learning model for robust mango leaf disease classification via ConvNeXt and vision transformer fusion.

Front Plant Sci

August 2025

Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, Rize, Türkiye.

Mango is a crop of vital agronomic and commercial importance, particularly in tropical and subtropical regions. Accurate and timely identification of foliar diseases is essential for maintaining plant health and ensuring sustainable agricultural productivity. This study proposes MangoLeafCMDF-FAMNet (cross-modal dynamic fusion with feature attention module (FAM) network), an advanced, hybrid, deep-learning framework designed for the multi-class classification of mango leaf diseases.

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Aim: Mountaineering, which involves high levels of risk and challenge, is an extreme sports activity with a deep history, requiring superior physical fitness, mental strength and technical knowledge. The high level of risk inherent in mountaineering also brings with it injuries, which negatively affect athletes' performance and lead to traumatic experiences that cause anxiety. This research aims to examine in depth the injury concerns of licensed mountaineers.

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Recent advances in cow identification have been instrumental in enhancing understanding of disease progression, optimizing vaccination strategies, improving production management, ensuring animal traceability, and facilitating ownership assignment. Cow identification and tracking involve the precise recognition of individual cows and their products through unique identifiers or markers. Traditional methods like computer vision, ear tags, branding, tattooing, microchips, and other electrical methods have been widely employed for cow identification and tracking over an extended period of time.

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Aims: Neoadjuvant chemotherapy (NAC) enhances the possibility of breast conserving surgery and improves survival in patients with complete response in breast carcinoma. The most crucial step for maximum benefit and minimum damage in neoadjuvant chemotherapy is selecting the most eligible patient.

Materials & Methods: The study included 191 patients diagnosed with invasive breast carcinoma of no special type in needle biopsy samples.

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Extensive research on amphibians has focused on areas such as morphological and molecular taxonomy, ecology, embryology, and molecular phylogeny. However, the structure and biotechnological potential of egg jelly-which plays a protective and nutritive role for embryos-have remained largely unexplored. This study presents, for the first time, a detailed physicochemical analysis of the egg jelly of , an amphibian species, using Fourier Transform Infrared Spectroscopy, Thermogravimetric Analyzer, X-ray Diffraction, and elemental analysis.

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This study investigated ten potential toxic metals (PTMs) in six milk and dairy product types and evaluated food safety (TDI, RDA), human exposure (EDI), non-carcinogenic risk (THQ, HI), and contamination levels (CF, PLI). Based on total PTM load, products ranked as: children's milk > yogurt > protein milk > milk > ayran > kefir. Aluminum (Al) showed the highest average concentration in all products except ayran, where manganese (Mn) was dominant.

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Tumor budding (TB)-clusters of one to five tumor cells at the invasive front-has emerged as a prognostic marker in various cancers. Its prognostic value in head and neck squamous cell carcinoma (HNSCC) is unclear. We retrospectively analyzed 98 HNSCC patients.

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The pathophysiological mechanism linking oxidative stress and cardiovascular disease (CVD) is not completely elucidated, especially in young individuals. This study aimed to examine redox status in an adolescent Montenegrin population in relation to cardiovascular risk score (CVRS). A cohort of 182 adolescents (76% girls) aged between 16 and 19 was examined.

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Anticancer Activity of Seed Extract on Gastric Cancer Cells.

Nutrients

August 2025

Department of Basic Medical Sciences, Division of Medical Biochemistry, Faculty of Medicine, Recep Tayyip Erdogan University, Rize 53100, Türkiye.

: has been traditionally used to treat hormonal disorders, and recent evidence suggests its potential anticancer properties. However, its effects on gastric cancer remain unclear. : This study examined the cytotoxic, apoptotic, and anti-metastatic effects of hydroalcoholic seed extract in gastric cancer cells.

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