Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Scientific Laws and Theories

Scientific Laws and Theories

Scientific Laws

Mechanistic Models: Overview of Compartment Models

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...

Models, Theories, and Laws

Models, Theories, and Laws

Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...

Mathematical Modeling: Problem Solving

Mathematical Modeling: Problem Solving

Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Ampere-Maxwell's Law: Problem-Solving

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the problem,...

You might also read

Related Articles

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

Sort by

Same author

Effects of Compassion Meditation on Psychological Status in Patients With Diabetes: A Pilot Randomized Controlled Trial.

Western journal of nursing research·2026

Same author

Evaluating a motivational interviewing-based communication program for nurses in advance care planning: a quasi-experimental study.

BMC palliative care·2026

Same author

Symptoms Experienced During the Menopause Transition and Cognition in Older Women With Cardiovascular Disease: Secondary Analyses of the MindMoves Trial.

The Journal of cardiovascular nursing·2026

Same author

A Virtual Reality-Based Cognitive Restorative Intervention Using Nature to Improve Attention, Self-Care, and Health-Related Quality of Life in Heart Failure.

The Journal of cardiovascular nursing·2026

Same author

Emergency nurses' perspectives on advance care planning and their role in end-of-life decision-making: a focus group study.

BMC nursing·2026

Same author

Bacteriophages JEP7 and PBC2, which target foodborne pathogens, elicit cytokine responses in mammalian cells.

Food science and biotechnology·2026

Same journal

Teaching Students Billing for Clinical Nurse Specialist Services.

Clinical nurse specialist CNS·2026

Same journal

Enhancing Preoperative Bathing Adherence: A Cost-Effective Strategy to Reduce Surgical Site Infections.

Clinical nurse specialist CNS·2026

Same journal

Improving the Quality of Pain Management Through Clinical Nurse Specialist Practice: The Work of the 2023 National Association of Clinical Nurse Specialists Pain Management Task Force.

Clinical nurse specialist CNS·2026

Same journal

When Care Is Missed, Satisfaction Declines: Evidence From Surgical Patients.

Clinical nurse specialist CNS·2026

Same journal

The Value of Prevention: Clinical Nurse Specialist-Led Strategies to Reduce Hospital-Acquired Adverse Events.

Clinical nurse specialist CNS·2026

Same journal

Implementation of the EPIC Deterioration Index Tool on a Medical/Surgical Unit.

Clinical nurse specialist CNS·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 28, 2026

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

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

Published on: June 13, 2025

Generating scientific models of knowledge using arcs.

Jinshil Kim¹, Susan J Pressler, Josette Jones

¹Indiana University School of Nursing, Indianapolis, USA. jinshil.kim@hc.msu.edu

Clinical Nurse Specialist CNS

|October 29, 2008

Summary

This summary is machine-generated.

The arcs computer program feasibility was tested for reviewing nutrition in heart failure literature. It successfully modeled knowledge, showing cachexia’s link to mortality, aiding future research directions.

Related Experiment Videos

Last Updated: Jun 28, 2026

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

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

Published on: June 13, 2025

Area of Science:

Cardiology
Nutritional Science
Medical Informatics

Background:

Systematic literature reviews are crucial for assessing scientific merit and guiding future research in nutrition and heart failure.
Existing literature on nutrition in heart failure requires structured evaluation to identify knowledge gaps and inconsistencies.

Purpose of the Study:

To evaluate the feasibility of the arcs computer program for managing literature data and modeling knowledge.
To conduct an integrative review of 10 studies on nutrition in heart failure using arcs.
To generate scientific knowledge models from the reviewed literature.

Main Methods:

The arcs program was used to categorize variables and statistical relationships within 10 observational studies on nutrition and heart failure.
Each unit of knowledge in arcs represents two variables linked by a statistical relationship.
The program generated a scientific model for empirical testing.

Main Results:

The arcs program aggregated 104 dependent and 93 independent variables, along with various relationship types (associational, predictive, structural, descriptive, difference).
A structural model identified a direct relationship between cachexia and 18-month mortality, independent of age or New York Heart Association classification.
This model is suitable for testing as a path theoretical model.

Conclusions:

The arcs computer program demonstrated feasibility for conducting integrative reviews in the field of nutrition and heart failure.
Further application with a larger literature set can enhance knowledge generation and identify research inconsistencies.
The program facilitates the creation of testable scientific models from complex data.