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Related Concept Videos

Wave Parameters01:10

Wave Parameters

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The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
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What is Natural Selection?01:32

What is Natural Selection?

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Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
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Antibiotic Selection00:57

Antibiotic Selection

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Overview
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Types of Selection01:46

Types of Selection

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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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Frequency-dependent Selection01:21

Frequency-dependent Selection

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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

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The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
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Related Experiment Video

Updated: Feb 14, 2026

A New Single Chamber Implantable Defibrillator with Atrial Sensing: A Practical Demonstration of Sensing and Ease of Implantation
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A New Single Chamber Implantable Defibrillator with Atrial Sensing: A Practical Demonstration of Sensing and Ease of Implantation

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Important Parameters for Implantable Cardioverter Defibrillator Selection.

Nath Zungsontiporn1, Michael Loguidice1, James Daniels1

  • 1Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA.

Cardiac Electrophysiology Clinics
|February 12, 2018
PubMed
Summary
This summary is machine-generated.

Implantable cardioverter defibrillators effectively prevent sudden cardiac death. Selecting the right device requires careful consideration of device features, patient traits, and existing health conditions.

Keywords:
DF-1DF-4Dual-chamberICDImplantable cardioverter defibrillatorSingle-chamber

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Area of Science:

  • Cardiology
  • Medical Devices
  • Clinical Trials

Background:

  • Implantable cardioverter defibrillators (ICDs) are proven to reduce sudden cardiac death risk.
  • Patient selection for ICD therapy is complex.

Purpose of the Study:

  • To review factors influencing the selection of appropriate ICDs.
  • To highlight considerations for optimizing ICD therapy.

Main Methods:

  • Literature review of clinical trials and relevant studies.
  • Synthesis of data on device, patient, and comorbidity factors.

Main Results:

  • Established efficacy of ICDs in preventing sudden cardiac death.
  • Identification of key factors for device selection.

Conclusions:

  • Device characteristics, patient attributes, and comorbidities are crucial for appropriate ICD selection.
  • Personalized approach is necessary for effective ICD implantation.