Publications by authors named "I P De Popa"
is a Gram-negative, obligate aerobic bacillus commonly found in environmental settings, particularly in soil and water, as well as within the intestinal microbiota of humans and various animal species. This bacterium has the potential to act as an opportunistic pathogen, capable of causing severe infections in both humans and animals, which can sometimes result in fatal outcomes. Notably, is often characterized by a high degree of antibiotic resistance, complicating treatment efforts.
View Article and Find Full Text PDFBackground: Fractures occurring in the lower extremities as a result of road traffic accidents (RTAs) can lead to considerable morbidity and constitute a large proportion of nonfatal injuries that necessitate hospitalization. The present study aimed to examine the epidemiology of lower extremity fractures linked with RTAs in pediatric patients.
Methods: This is a descriptive retrospective research study carried out between 2015 and 2022 at St.
Article Synopsis
- Children and adolescents with autism spectrum disorders (ASD) are less active physically compared to their peers, prompting a study to explore the reasons behind this based on what parents report.
- The study involved 370 participants aged 8-20 and used a questionnaire to collect data and analyze the barriers to physical activity participation, revealing interpersonal issues as the biggest obstacle.
- The findings highlight the importance of understanding these barriers to create better programs in schools and communities that encourage physical activity for children with ASD.
Objective: In our experimental study, we evaluated the influence of treatment with atorvastatin on the antioxidant activity of intracellular and extracellular systems factors, homocysteine levels (Hcy), and lipid profiles in obese and diabetic rats.
Method: Twenty-one male Wistar rats, aged 6 months, 450-550 g, were allocated into three groups. From the beginning of the study, the first group (G-I, control) received only standard food, while the second and third groups (G II-obese, G III-diabetic) were administered a high-fat diet (HFD) with 2% cholesterol.
Article Synopsis
- KnowVID-19 is a knowledge-based system designed to help medical researchers efficiently extract and categorize information from online medical literature, using machine learning tools for improved data extraction.
- It employs a keyword-based text classification system and specific techniques (RAKE, YAKE, KeyBERT) to organize research data into topics and subtopics, enhancing the relevance of search results for user queries.
- The platform features an interactive web application with visual network representations of key terms, allowing researchers to track emerging trends in COVID-19 research through an intuitive, user-friendly interface.