1,014 results match your criteria: "University "Dunarea de Jos"[Affiliation]"

Introduction: Polytrauma remains a major global health challenge, with rapid intervention being critical for survival, especially during the "Golden Hour". This study examines the impact of Helicopter Emergency Medical Services (HEMS) on procedural care during the transfer of polytraumatized patients to urban hospitals in Romania.

Methods: A retrospective cohort study was conducted at the County Emergency Hospital "St.

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Background And Aims: Pan-genotypic ribavirin-free oral direct-acting antivirals, including the glecaprevir/pibrentasvir combination, are recommended for the treatment of most patients with chronic hepatitis C virus (HCV) infection. In Romania, the HCV-infected patient population receiving glecaprevir/pibrentasvir is not well characterized and data on treatment effectiveness is lacking. The ODYSSEY study aimed to provide insights into the characteristics and treatment outcomes of HCV-infected Romanian patients receiving 8-week therapy with glecaprevir/pibrentasvir.

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Cardiovascular disease (CVD) is a significant global health concern and the leading cause of death in many countries. Early detection and diagnosis of CVD can significantly reduce the risk of complications and mortality. Machine learning methods, particularly classification algorithms, have demonstrated their potential to accurately predict the risk of cardiovascular disease (CVD) by analyzing patient data.

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This study aims to compare the effects of conventional surgical techniques and laser-assisted methods on salivary oxidative stress biomarkers following third molar extraction, in order to evaluate the potential benefits of laser surgery in reducing oxidative stress and promoting faster recovery. A total of 154 patients, aged 16-30, undergoing third molar extractions were included in the study. Patients were divided into two groups: conventional surgery ( = 75) and laser-assisted surgery ( = 79).

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Background: 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.

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Introduction: It is known that combat athletes frequently lose weight before a competition. This study aimed to determine the weight loss methods before an official championship and the effects of these weight loss methods on the performance of wrestlers.

Method: The sample of the study consisted of 350 competitive wrestlers.

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This study investigates the association between conscientiousness and emotional intelligence (EI) in Paralympic athletes. A sample of 274 athletes (190 male, 84 female) was analyzed using the Schutte EI Scale and a Conscientiousness scale from the Big Five Personality Traits. Results indicated a significant positive relationship between EI and conscientiousness, with EI explaining 28% of the variance in conscientiousness ( < 0.

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Streptococcus pneumoniae is the main pathogen that plays a dual role, on the one hand as an asymptomatic carrier in the nasopharyngeal mucosa and on the other hand directly responsible for triggering invasive pneumococcal infections with various important localizations, especially in the pediatric population. Thus, invasive pneumococcal infections represent one of the main causes of mortality and morbidity in children under 5 years of age. Immunization is a key preventive measure against these infections.

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The monitoring and control of an assembly/disassembly/replacement (A/D/R) multifunctional robotic cell (MRC) with the ABB 120 Industrial Robotic Manipulator (IRM), based on IoT (Internet of Things)-cloud, VPN (Virtual Private Network), and digital twin (DT) technology, are presented in this paper. The approach integrates modern principles of smart manufacturing as outlined in Industry/Education 4.0 (automation, data exchange, smart systems, machine learning, and predictive maintenance) and Industry/Education 5.

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The pipeline transport industry is constantly developing due to the high efficiency, long life, varied diameters of the pipelines, but a significant problem is the corrosion that occurs because of the corrosive attack of the various environments in which the pipelines are used. This study deals with the ex situ characterizations (optical microscopy, scanning electron microscopy coupled with energy dispersive X-ray analyses, X-ray diffraction analysis, roughness, and Vickers hardness analyses) and the in situ characterizations (gravimetric and electrochemical methods). Samples of steel were tested at immersion time, after 336 h, 672 h, 1344 h, 2016 h, and 4032 h of exposure to a 3.

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(1) Background: Since the discovery of antibiotics in the first half of the 20th century, humans have abused this privilege, giving rise to antibiotic-resistant pathogens. Recent research has brought to light the use of antimicrobial peptides in polymers, hydrogels, and nanoparticles (NPs) as a newer and safer alternative to traditional antibiotics. (2) Methods: This review article is a synthesis of the scientific works published in the last 15 years, focusing on the synthesis of polymers with proven antimicrobial properties.

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Environmental Indicator Plants in Mountain Forests: A Review.

Plants (Basel)

November 2024

Department of Chemistry, Physics and Environment, Faculty of Sciences and Environmental, Dunarea de Jos University Galati, Domneasca Street No. 47, 800008 Galati, Romania.

Plant indicators are important in studies related to the environment, and mountain forests are rich in such plants. We conducted this study using the Web of Science Core Collection tools and the VOSviewer program combined with a classic review, based on the specialty literature. The topic of indicator plants in mountain forests has been (the first article published in a prestigious journal dates back to 1980) and remains relevant (after 2015, between 40 and 60 articles were published annually), with the total number of publications found being 665 articles and 22 review articles.

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Article Synopsis
  • Palliative care is crucial for improving the quality of life for children with neurological conditions, as they face severe symptoms and disabilities.
  • A study at the Lumina Association analyzed 604 children who needed enteral feeding, primarily due to swallowing issues, congenital malformations, or malnutrition.
  • While enteral feeding helps maintain nutrition and hydration, it also poses risks like digestive issues and infections in these patients receiving palliative care.
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This paper presents a new means to control the processes involving energy conversion. Electric machines fed by electronic converters provide a useful power defined by the inner product of two generalized energetic variables: effort and flow. The novelty in this paper is controlling the desired energetic variables by a Data-Driven Control (DDC) law, which comprises the effort and flow and the corresponding process control.

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Unlabelled: The relationship between the classical cardiac biomarker and acute myocardial infarction (STEMI) in patients with COVID-19 is far from being elucidated. Furthermore, superoxide dismutase (SOD), a marker for oxidative stress, was associated with cardiac ischemia. Also, Galectin-3 is significant for defining the relationship between cardiac fibrosis and COVID-19.

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The purpose of this study was to assess the microbial composition and density of subgingival plaque samples for periodontal pathogens while correlating the values with glycemic control levels via glycated hemoglobin (HbA1c), a type of hemoglobin that has chemically linked glucose, in type I diabetes individuals who will undergo complex oral rehabilitation through orthodontic treatment and implant surgery. A cohort of 42 adults with type I diabetes were included in this study. The subjects sustained a comprehensive periodontal clinical examination as well as microbiological assessments of their subgingival plaque samples through quantitative real-time PCR.

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This study aimed to evaluate the effects of advanced platelet-rich fibrin (A-PRF+) tissue regeneration therapy on clinical periodontal parameters in non-smokers and smoker patients. The anticipated biological mechanisms of A-PRF+ include stimulating angiogenesis, thereby promoting the formation of new blood vessels, which is essential for tissue healing. Additionally, A-PRF+ harnesses the regenerative properties of platelet-rich fibrin, contributing to the repair and regeneration of periodontal tissues.

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: This study evaluated the outcomes of single open-flap debridement, open-flap debridement (OFD) plus resorbable membrane placement, and OFD with resorbable membrane placement plus platelet-rich fibrin (PRF) in terms of periodontal clinical parameters and glycated hemoglobin (HbA1c) levels in 24 adult patients with stage 3 grade C periodontitis and type II diabetes mellitus. : The primary outcome measure for this study was the clinical attachment level (CAL); secondary outcomes included additional periodontal parameters, such as the plaque index (PI), bleeding on probing (BOP), probing depth (PD), as well as glycated hemoglobin (HbA1c) levels to evaluate the systemic impact of the treatments on glycemic control. The parameters were assessed before and at three and six months post-surgery.

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Article Synopsis
  • This review analyzes how artificial intelligence (AI) is transforming the prediction and prevention of sports injuries through machine learning (ML) and deep learning (DL) techniques, highlighting its capability to analyze complex data and improve injury prevention strategies for athletes.
  • It emphasizes the use of various AI models, such as random forests and convolutional neural networks, to create tailored injury risk assessments based on real-time data and individual athlete profiles.
  • The review also discusses challenges like data quality, ethical concerns, and the complexities of integrating data in team sports, while showcasing AI's potential to shift injury management from reactive to proactive methods, enhancing athlete safety and performance.
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Predicting Deep Venous Thrombosis Using Artificial Intelligence: A Clinical Data Approach.

Bioengineering (Basel)

October 2024

Department of Computer Science and Information Technology, "Dunărea de Jos" University, 2 Științei St., 800146 Galati, Romania.

Deep venous thrombosis is a critical medical condition that occurs when a blood clot forms in a deep vein, usually in the legs, and can lead to life-threatening complications such as pulmonary embolism if not detected early. Hospitalized patients, especially those with immobility or post-surgical recovery, are at higher risk of developing deep venous thrombosis, making early prediction and intervention vital for preventing severe outcomes. In this study, we evaluated the following eight machine learning models to predict deep venous thrombosis risk: logistic regression, random forest, XGBoost, artificial neural networks, k-nearest neighbors, gradient boosting, CatBoost, and LightGBM.

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The COVID-19 pandemic has introduced challenges in pediatric care, especially due to the emergence of Multisystem Inflammatory Syndrome in Children (MIS-C), a severe condition associated with SARS-CoV-2 infection. This study investigated the impact of hyponatremia and antidiuretic hormone (ADH) secretion corelated to clinical outcomes in these patients. We conducted a retrospective cohort study, including 118 pediatric patients, with a detailed sub-cohort analysis of 53 patients for ADH secretion markers.

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: Artificial intelligence has become a valuable tool for diagnosing and detecting postoperative complications early. Through imaging and biochemical markers, clinicians can anticipate the clinical progression of patients and the risk of long-term complications that could impact the quality of life or even be life-threatening. In this context, artificial intelligence is crucial for identifying early signs of complications and enabling clinicians to take preventive measures before problems worsen.

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Psycho-Somatic Evolution of Patients with Multiple Traumatic Injuries.

Clin Pract

November 2024

Clinical-Medical Department, Faculty of Medicine and Pharmacy, "Dunărea de Jos" University, 47 Str. Domnească, 800201 Galati, Romania.

Background And Objective: In this study, we aimed to identify the factors that could impact the Stress-Related Growth Scale (SRGS) questionnaire administered to patients.

Materials And Methods: Participants were asked to complete a written SRGS questionnaire (a translated and approved version in Romania) at varying time intervals relative to the traumatic event. The questionnaire was developed in accordance with legal regulations of the World Health Organization and the European Union for research involving human subjects for medical purposes.

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Background: Tuberculosis remains a major global public health problem, affecting millions of people every year, including children. At the same time, depressive disorders are among the most common mental disorders in children and adolescents, significantly influencing their quality of life and development. The intersection between these two pathologies-tuberculosis and depressive disorders-in pediatric patients raises complex clinical challenges that require effective identification and intervention strategies.

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Article Synopsis
  • Sports anxiety can hinder athletes' performance and reduce their overall life satisfaction.
  • The study found that positive thinking skills are linked to higher life satisfaction and can help alleviate sport anxiety.
  • Encouraging the development of positive thinking skills in training programs may improve athletes' mental wellbeing and performance outcomes.
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