Publications by authors named "N Samiei"

Article Synopsis
  • Researchers produced electrospun mats featuring coelomic fluid (CF) from earthworms integrated with chitosan (Chs) and polyvinyl alcohol (PVA) for potential wound dressing applications.
  • The CF-infused dressings demonstrated significantly better antibacterial, antioxidant, and cell viability properties compared to control samples without CF.
  • In vivo tests on Wistar albino rats showed that the Chs/PVA/CF dressings enhanced wound healing and re-epithelialization, indicating their effectiveness as a wound dressing material.
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Article Synopsis
  • The article presents the first national guidelines for managing acute coronary syndrome (ACS) in Iran, detailing diagnosis, treatment, and secondary prevention strategies.
  • A group of specialists examined clinical concerns and formulated 13 key questions, leading to recommendations based on systematic evidence review.
  • The guidelines include initial response protocols for chest pain, risk categorization for patients, treatment options in hospitals, and strategies for secondary prevention post-ACS.
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Background: There are few studies for detecting rhythm abnormalities among healthy children and adolescents. The aim of the study was to investigate the prevalence of abnormal electrocardiographic findings in the young Iranian population and its association with blood pressure and obesity.

Methods: A total of 15084 children and adolescents were examined in a randomly selected population of Tehran city, Iran, between October 2017 and December 2018.

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The purpose of this study was to review the literatures regarding the treatment outcomes of applying laser to the infected sites in immediate implant placement. The review tended to primarily target a question: does applying high-power laser have any positive effect on infected sites in immediate implant placement? Although immediate placement of dental implants has been referred to as a predictable and successful procedure, it is prone to the presence of infection that interferes with the healing process, and triggers the failure of implants. A thorough electronic database search was conducted on PubMed/Medline, Embase, Web of Science, Google Scholar, and the Cochrane library in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.

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Propose: An electrocardiogram (ECG) has been extensively used to detect rhythm disturbances. We sought to determine the accuracy of different machine learning in distinguishing abnormal ECGs from normal ones in children who were examined using a resting 12-Lead ECG machine, and we also compared the manual and automated measurement using the modular ECG Analysis System (MEANS) algorithm of ECG features.

Methods: Altogether, 10745 ECGs were recorded for students aged 6 to 18.

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