1,502 results match your criteria: "Fasa University.[Affiliation]"

Background: Classroom behavior is one of the important variables for the curriculum in the learning path of learners. The aim of this study was to explain the classroom behavior process of medical sciences students.

Materials And Methods: In a qualitative study using the grounded theory approach, the classroom behavior of 21 students from different medical fields was assessed.

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Background: Gastric cancer remains a significant global health issue due to its aggressive nature and high heterogeneity, making early detection and prevention critical. Obesity and smoking are established risk factors that significantly contribute to the development of gastric cancer. Despite the clear links between these risk factors and the disease, there is a lack of targeted educational interventions that address these behaviors.

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Background: Moral intelligence is a significant and influential factor in the delivery of principled and high-quality care. This is because moral intelligence is the ability to recognize and be sensitive to moral issues, which contributes to the organization of appropriate behavior in the face of moral issues. This is particularly pertinent given that pre-hospital emergency medical services personnel (prehospital EMS personnel) frequently encounter stressful and tension-filled situations.

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Introduction: Biomarkers play a crucial role across various fields by providing insights into biological responses to interventions. High-throughput gene expression profiling technologies facilitate the discovery of data-driven biomarkers through extensive datasets. This study focuses on identifying biomarkers in gene expression data related to chemical injuries by mustard gas, covering a spectrum from healthy individuals to severe injuries.

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Background: Hypertension (HTN) is well-known as a major risk factor for various noncommunicable diseases. Evidence indicates a link between socioeconomic status and the likelihood of developing HTN. A thorough comprehension of the inequalities in HTN is crucial for implementing evidence-based interventions.

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Background: Non-alcoholic fatty liver disease (NAFLD) is a widespread liver condition associated with diabetes, metabolic syndrome, and cardiovascular diseases, yet public awareness remains low. Early detection of risk factors is crucial, but liver biopsy, the diagnostic gold standard, is invasive and costly. Non-invasive anthropometric indices provide a safer alternative.

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Background: Physical activity and proper nutrition during pregnancy are crucial for maternal and fetal health. However, many pregnant women fail to meet recommended guidelines. This study aimed to assess the effectiveness of an educational intervention based on the Health Belief Model (HBM) in improving these behaviors.

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Chicken thigh is a popular and widely consumed meat product. However, its high moisture content and susceptibility to microbial spoilage limit its shelf life. To address this issue, we investigated the efficacy of an edible coating based on alginate nanoparticles (AlgNPs) containing menthol, essential oil (EO), or their combination for extending the shelf life of chicken thigh.

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Objectives: this study aims to determine the prevalence and determinants of metabolically healthy obesity (MHO) and metabolically healthy status (MHS) within a large Iranian population.

Methods: This cross-sectional study involved 10,134 participants from the Fasa Adult Cohort Study (FACS) in southern Iran. Following the extraction of metabolic, demographic, and socioeconomic variables, prevalence rates were estimated.

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Traumatic Brain Injury (TBI) is a devastating cause of death and disability. Outcomes following TBI have been extensively studied; however, less attention has been given to identifying characteristics of individuals who have a favorable outcome following severe TBI. We conducted a retrospective analysis of a database containing information on TBI patients admitted to a level 1 trauma center between 2015 and 2021.

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In this work, we explored the role of a single electron in the energy of neutral and charged clusters of using data visualization and statistical techniques as a new insight. Initially, we studied the effects of one electron, time, and temperature on energy using multiple linear regression analysis with dummy variables, and the results demonstrated that all three predictors significantly affected the energy. Time had a positive impact (direct ratio effect) on the energy of , and and a negative impact (inverse ratio effect) on the energy of while temperature had a positive effect on the energy of all three sodium clusters.

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Objective: Postoperative tracheostomy is a significant complication following medulloblastoma (MB) resection. This study aimed to develop a predictive model for postoperative tracheostomy requirement in children undergoing MB surgical resection. This model was derived as a side product of a larger research project analyzing surgical outcomes in pediatric MB patients.

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Drought adversely affects the growth and performance of plants. By contrast, the application of organic modifiers can improve plant growth by supplying nutrients and water. The influence of foliar application of organic fertilizer under water deficit conditions on growth traits, chemical composition, and fruit quality of tomato (Lycopersicon esculentum Mill.

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Air pollution is a significant challenge in metropolitan areas, where increasing amounts of air pollutants threaten public health and environmental safety. The present study aims to forecast the concentrations of various air pollutants, including CO, O, NO, SO, PM, and PM, from 2013 to 2023 in the Tehran megacity, Iran, via deep learning (DL) models and evaluate their effectiveness over conventional machine learning (ML) methods. Key driving variables, including temperature, relative humidity, dew point, wind speed, and air pressure, were considered.

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Article Synopsis
  • The study explores the challenges of assessing osteoporosis in Iran, focusing on the high costs and limited availability of traditional diagnostic tools.
  • Various machine learning methods were used to evaluate osteoporosis risk factors, finding that the extreme gradient boosting (XGB) model offered the highest accuracy (0.79) and AUC (0.78) compared to other methods like random forest and decision trees.
  • Implementing ML algorithms like XGB for early osteoporosis identification could reduce health complications and financial burdens on healthcare systems, addressing a critical public health issue.
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The first step to reducing the growing burden of cardiovascular disease (CVD) is to find modifiable risk factors with the highest burden in each population. Urban and rural citizens may have different priorities in this regard. This study aimed to compare the 10-year incidence probability of CVD events and its associated risk factors between rural and urban areas in Iran.

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As a significant global concern, air pollution triggers enormous challenges in public health and ecological sustainability, necessitating the development of precise algorithms to forecast and mitigate its impacts, which has led to the development of many machine learning (ML)-based models for predicting air quality. Meanwhile, overfitting is a prevalent issue with ML algorithms that decreases their efficacy and generalizability. The present investigation, using an extensive collection of data from 16 sensors in Tehran, Iran, from 2013 to 2023, focuses on applying the Least Absolute Shrinkage and Selection Operator (Lasso) regularisation technique to enhance the forecasting precision of ambient air pollutants concentration models, including particulate matter (PM and PM), CO, NO, SO, and O while decreasing overfitting.

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[Lu]Lu-DOTATATE is a newly trending acceptable therapy in recurrent/residual meningioma with good safety. However, recognizing any possible side effects in this special population would be helpful for better management and individualization of this useful treatment. Although the seizure has been previously reported in a few cases after [Lu]Lu-DOTATATE therapy in recurrent meningioma, the acute onset of seizure in these patients, early after therapeutic radioligand administration, is not reported to the best of our knowledge.

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Long non-coding ribonucleic acids (lncRNAs) have been implicated as possible circulating stroke indicators. This study focused on the expression status of antisense non-coding ribonucleic acid in the INK4 locus (ANRIL) and myocardial infarction associated transcript (MIAT) in patients with cerebral venous thrombosis (CVT). In this study, fifty patients with CVT and one hundred age/gender-matched individuals as controls were included.

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Knee osteoarthritis offers significant opportunities for prevention and the mitigation of its severity and associated symptoms through lifestyle modifications. This study aimed to investigate the efficacy of an educational intervention based on the Theory of Planned Behavior (TPB) in promoting preventive behaviors against knee osteoarthritis among women aged over 40 years residing in Fars, Iran. This research utilized a quasi-experimental design.

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Background: The relationship between inborn errors of immunity (IEIs) and COVID-19 severity and incidence rates remains unclear due to limited and diverse data. This study aimed to address this gap by identifying specific IEIs associated with an increased risk of severe COVID-19 or a predisposition to severe disease before vaccination.

Materials And Methods: Data were collected from the medical records of 15 patients with various IEIs, supplemented by interviews with individuals from an IEIs registry who had experienced COVID-19 before vaccination.

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Introduction: Hypertension (HTN) is a prevalent condition associated with numerous cardiovascular and non-cardiac complications. Lifestyle interventions, including dietary adjustments, offer promising avenues for hypertension management. However, the precise relationship between dietary antioxidants and hypertension risk necessitates further investigation.

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Sulfur mustard (SM) induced pulmonary disorder is a heterogeneous disease characterized by uncontrolled inflammatory immune responses. In this cross-sectional study carried out in Isfahan-Iran, our objective was to thoroughly evaluate the clinical health and peripheral blood leukocyte profiles of adult veterans exposed to SM 25-30 years. In total, 361 people were studied in two groups, 287 chemical veterans with pulmonary complications and 64 healthy individuals as a control group.

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Diabetic peripheral neuropathy (DPN) is the most common form of diabetic neuropathy, representing 75% of cases and posing a substantial public health challenge. Emerging evidence from animal studies indicates that stem cell therapy holds significant promise as a potential treatment for diabetic neuropathy. Nevertheless, a comprehensive evaluation of the safety and efficacy of stem cell therapy for DPN in animal studies remains outstanding.

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Objective: Today, air medical services play a key part in providing emergency medical services in accidents and disasters in many countries, including Iran. The present study aims to investigate the barriers to air medical services in accidents and disasters in Iran and suggest solutions to them.

Results: Analysis of the qualitative data resulted in extraction of 84 codes, which were classified into 13 subcategories and eventually into four themes, namely planning, management of resources, updating procedures, and empowerment of human resources.

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