Publications by authors named "M R Bordbar"
Background: In this research, a model of factors affecting students' academic success with low socioeconomic status (SES) was explained and evaluated.
Materials And Methods: A mixed-methods research design was used to explain academic success and evaluate it. From this point of view, the research was divided into two parts: grounded theory (GT) and structural equation modeling (SEM).
Background: Wilms tumor (WT) is the most common malignant renal tumor in children. This study investigated the clinical features, pathological findings, and outcomes of children with malignant renal tumors in Southern Iran. Factors associated with recurrence and mortality were assessed.
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- Sleep disorders are common among Iranian adults, with a study showing that 44.1% of participants experience various issues like insomnia and excessive daytime sleepiness in 2022.
- The study surveyed 6013 individuals using demographic forms and sleep disorder questionnaires, employing statistical analysis to interpret the results.
- Significant relationships were found between sleep disorders and demographic factors, such as age, income, and BMI, indicating that these variables contribute to the prevalence of sleep issues in the community.
Identifying COVID-19 patients' clinical phenotypes based on characteristics and comorbidities, as well as their differences, helps in terms of clinical care and potential crises. Our goal is to use Latent Class Analysis (LCA) to identify COVID-19 patient profiles based on demographics, symptoms, and comorbidities, and evaluate their correlation with ICU admission, hospitalization duration, and mortality in a cross-sectional study. We included hospitalized patients with positive SARS-CoV-2 tests in two referral hospitals in the south of Iran between January 2020 and July 2021.
View Article and Find Full Text PDFTo discriminate between different alcoholic, aldehyde, and ester species of urine samples, a colorimetric sensor array consisting of dopamine-capped copper-silver bimetallic nanoparticles (Ag@Cu BMNPs) combined with 12 organic dyes is introduced. Based on the sensing mechanism, the nanozyme catalyzed the reactions of oxidation, dehydrogenation, and hydrolysis of volatile organic compounds. The products could alter the amount of hydronium ions in the detection media, making a variation in the color intensity of pH-sensitive indicators.
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