The article deals with results of studying parahemolytic vibrio separatedfrom different sources according their phenotype and genotype attributes associated with virulence. In certain cases the mismatch of results of Kanagava tests and polymerase chain reaction test of gene tdh was established. The need in virulence complex evaluation is substantiated. This complex has to include detection of hemolytic activity in Kanagava test and urease activity on the Kristensen medium and polymerase chain reaction detection of genes tdh and trh. The developed complex technique is described. The formula of pathogenic strains is established Three alternatives of virulent parahemolytic vibrio are given. The test-strains Vibrio parahaemolyticus are proposed as control in testing phenotype and genotype strains according virulence signs.
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J Med Internet Res
January 2025
Center for Community-Engaged Artificial Intelligence, School of Science & Engineering, Tulane University, New Orleans, LA, United States.
There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation but have been slower in adopting emerging technologies such as generative AI. However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges.
View Article and Find Full Text PDFSports Med
January 2025
Aquatics Lab, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Background: Swimming performance depends on a wide variety of factors; however, the interaction between these factors and their importance varies between events. In sprint events, the characterized pacing underlines its specific development, as swimmers must achieve the highest possible speed while sustaining it to the greatest extent possible.
Objectives: The aim of this review was to identify the key factors underlying sprint swimming performance and to provide in-depth and practical evidence-based information to optimize performance.
Neuropsychol Rev
January 2025
Department of Psychology, College of Health, Medicine and Life Sciences, Brunel University of London, Kingston Lane, Uxbridge, Middlesex, UB8 3PH, UK.
While Category Fluency (CF) is widely used to help profile semantic memory, item-level scoring (ILS) approaches to this test have been proposed to obtain indices that are less influenced by non-semantic supportive functions. We systematically reviewed the literature to test the hypotheses that (1) compared with healthy adults, individuals with a clinical diagnosis suggestive of neurodegeneration generate words of lower semantic complexity; (2) compared with young adults, older adults generate words of higher semantic complexity. We searched six databases (date of search: 8 December 2023) for studies that relied on CF and ILS methods, in normal ageing and in age-associated neurodegeneration.
View Article and Find Full Text PDFCurr Cardiol Rep
January 2025
Heart Division, Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Purpose Of The Review: This review examines the role of vascular access and closure management in cardiac electrophysiology (EP) procedures, emphasising their impact on patient outcomes and safety. It synthesises current evidence and highlights advancements, challenges, and opportunities in this critical area of EP practice.
Recent Findings: Ultrasound-guided vascular access has significantly reduced complications and improved success rates compared to traditional methods.
Neuroinformatics
January 2025
Department of Information Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India.
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existing approaches use ML algorithms to address problems, but they have drawbacks such as low accuracy, high loss, and high computing cost.
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