Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Entropy01:18

Entropy

3.7K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.7K
Entropy02:39

Entropy

36.6K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
36.6K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

1.9K
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
1.9K
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model

826
Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
826
Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

334
A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
334
Social Traps01:41

Social Traps

27.0K
Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
27.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Explaining Twitter's inability to effectively moderate content during the COVID-19 pandemic.

Scientific reports·2025
Same author

ChatGPT-Based Chatbot for Help Quitting Smoking via Text Messaging: An Interventional Study.

JMIR formative research·2025
Same author

Participant engagement in a moderated Facebook group to promote COVID-19 vaccination.

Health education research·2025
Same author

Assessing the Adherence of ChatGPT Chatbots to Public Health Guidelines for Smoking Cessation: Content Analysis.

Journal of medical Internet research·2025
Same author

Impact of gist intervention on automated system interpretability and user decision making.

Cognitive research: principles and implications·2024
Same author

User Experiences With a Moderated Facebook Group to Promote Vaccination.

American journal of health promotion : AJHP·2024

Related Experiment Video

Updated: Feb 16, 2026

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.4K

The Emergence and Collapse of Knowledge Boundaries.

David A Broniatowski, Christopher L Magee

    IEEE Transactions on Engineering Management
    |December 20, 2017
    PubMed
    Summary

    Knowledge boundaries hinder expert communication during challenging tasks. However, insufficient collective expertise can dissolve these boundaries, impacting knowledge transfer dynamics in expert groups.

    Area of Science:

    • Organizational Behavior
    • Knowledge Management
    • Computational Social Science

    Background:

    • Knowledge transfer is crucial for engineering managers.
    • Knowledge boundaries act as barriers to effective knowledge sharing within expert groups.
    • Understanding the dynamics of these boundaries is essential for optimizing team performance.

    Purpose of the Study:

    • To investigate the formation and dissolution of knowledge boundaries in expert groups.
    • To explore the role of task complexity and collective expertise in shaping communication patterns.
    • To identify implications for organizations seeking to leverage collective knowledge.

    Main Methods:

    • Applied topic modeling, a natural language processing technique, to analyze communication transcripts.
    Keywords:
    Group decision-makingKnowledge boundariesNatural-language processingNetwork analysis

    More Related Videos

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    1.6K
    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
    07:12

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

    Published on: July 1, 2014

    12.7K

    Related Experiment Videos

    Last Updated: Feb 16, 2026

    Perspectives on Neuroscience
    26:41

    Perspectives on Neuroscience

    Published on: July 31, 2007

    5.4K
    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    1.6K
    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
    07:12

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

    Published on: July 1, 2014

    12.7K
  • Utilized data from the U.S. Food and Drug Administration's Circulatory Systems Advisory Panel.
  • Conducted qualitative exploration of relevant meeting data to support findings.

    • Main Results:

    • Knowledge boundaries emerge as predicted when groups face increasingly difficult problems.
    • Communication boundaries dissolve when collective expert ability is insufficient for task completion, particularly with high novelty.
    • Collective expertise appears to be a key factor in knowledge boundary formation.

    Conclusions:

    • Knowledge boundaries are dynamic and influenced by both task challenge and group expertise.
    • Under certain conditions, factors contributing to boundary formation may actually facilitate knowledge aggregation.
    • Organizations must consider the level of collective knowledge when managing expertise and knowledge transfer.