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Related Concept Videos

Types of Selection01:46

Types of Selection

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...
Frequency-dependent Selection01:21

Frequency-dependent Selection

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.
Proofreading01:43

Proofreading

Overview
Feedback Loops01:01

Feedback Loops

In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
Feedback Inhibition00:46

Feedback Inhibition

Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
Neural Regulation01:37

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.

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Related Experiment Video

Updated: May 25, 2026

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research
09:10

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research

Published on: September 22, 2021

Open peer review by a selected-papers network.

Christopher Lee1

  • 1Department of Chemistry and Biochemistry, UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles Los Angeles, CA, USA.

Frontiers in Computational Neuroscience
|February 1, 2012
PubMed
Summary
This summary is machine-generated.

A selected-papers (SP) network offers a novel peer review system where researchers share reviews publicly. This approach aims to accelerate scientific discovery and improve research dissemination, especially in underserved fields.

Keywords:
interdisciplinary researchjournalopen evaluationpeer reviewpublishingscientometrics

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Area of Science:

  • Scholarly communication
  • Scientific publishing
  • Research impact assessment

Background:

  • Traditional peer review is often secret and can be a bottleneck in scientific publishing.
  • Existing systems may not adequately support emerging research areas or provide efficient impact assessment.

Purpose of the Study:

  • To introduce and detail the selected-papers (SP) network as an alternative peer review and impact measurement model.
  • To propose a framework for building and implementing an SP network platform.
  • To demonstrate the potential of SP networks to enhance research dissemination and discovery.

Main Methods:

  • Description of the SP network model: researchers subscribe based on interests, reviews are published publicly.
  • Proposal of a three-phase plan for SP network development and integration.
  • Illustration of SP network compatibility with existing scholarly infrastructure.

Main Results:

  • SP networks can provide a new method for measuring research impact.
  • They can foster new scientific subfields and accelerate discovery.
  • Publicly available reviews offer a fine-grained filter for high-impact research.

Conclusions:

  • SP networks can significantly improve the review and dissemination of research articles.
  • This model can be effectively integrated with existing platforms like journals, arXiv, and PubMed.
  • SP networks offer a promising solution for enhancing scientific communication and discovery.