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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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Mate choice—the decision about whom to mate with—is a type of natural selection, since animals must reproduce to pass down their genes. Mate choice is also called intersexual selection because the behavior occurs between the sexes.
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Editor-in-Chief's Top Picks From 2021.

Valentin Fuster

    Journal of the American College of Cardiology
    |February 18, 2022
    PubMed
    Summary

    This collection highlights 100 top cardiovascular research papers from JACC, covering diverse specialties and including AI, biomarkers, and prevention. It features original investigations and reviews, offering a comprehensive overview of recent advancements.

    Area of Science:

    • Cardiovascular Medicine
    • Medical Research Dissemination

    Background:

    • The Journal of the American College of Cardiology (JACC) presents its annual selection of 100 pivotal research papers.
    • This curated list includes Original Investigations and Review Articles across various cardiovascular specialties.
    • The selection is based on editorial board choices, listener engagement with audio summaries, and website access data.

    Discussion:

    • The compilation aims to provide accessible summaries, central illustrations, and podcasts of key research.
    • It covers a broad spectrum of topics, including new sections on Artificial Intelligence & Machine Learning and Biomarkers.
    • The goal is to make significant cardiovascular research easily consumable for a wide audience.

    Key Insights:

    • Highlights encompass Artificial Intelligence & Machine Learning, Basic & Translational Research, Biomarkers, Cardiac Failure & Myocarditis, Cardiomyopathies & Genetics, Cardio-Oncology, Cardiovascular Disease in Women, Coronary Disease & Interventions, Congenital Heart Disease, Coronavirus, Hypertension, Imaging, Metabolic & Lipid Disorders, Neurovascular Disease & Dementia, Promoting Health & Prevention, Rhythm Disorders & Thromboembolism, Vascular Medicine, and Valvular Heart Disease.

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  • This collection represents the most impactful and accessed research published in JACC.
  • It serves as a valuable resource for clinicians and researchers staying abreast of cardiovascular science.

    • Outlook:

    • Future JACC publications will continue to feature cutting-edge research across all cardiovascular disciplines.
    • The integration of new sections like AI and Biomarkers reflects the evolving landscape of cardiovascular medicine.
    • Continued emphasis on accessible formats like podcasts and summaries will enhance research dissemination.