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

Modeling of Diode Forward Characteristics01:19

Modeling of Diode Forward Characteristics

1.1K
Understanding the behavior of diodes when forward-biased is a fundamental aspect of electronic circuit design and analysis. This analysis primarily utilizes two models: the exponential diode model and the constant-voltage-drop model. The exponential model comes into play when the source voltage exceeds 0.5 volts, pushing the diode current to rise exponentially above the saturation current. This relationship is graphically depicted in the current-voltage (I-V) curve, illustrating the diode's...
1.1K
Modeling of Diode Reverse Characteristics01:14

Modeling of Diode Reverse Characteristics

632
In electronic circuits, reverse-biased diode configurations are critical for regulating voltage levels. Zener diodes exploit the reverse breakdown phenomenon and exhibit a controlled breakdown at a specific Zener voltage (VZ). They are designed to maintain a constant voltage across their terminals and are commonly used for voltage regulation in circuits.
When a reverse voltage applied to a Zener diode exceeds its breakdown voltage, the diode enters the breakdown region. At this point, the...
632
Diagnosing Acidosis and Alkalosis01:24

Diagnosing Acidosis and Alkalosis

1.3K
Diagnosing acid-base imbalances involves systematically analyzing arterial blood samples, focusing on three key measurements: pH, bicarbonate (HCO3−) concentration, and carbon dioxide partial pressure (PCO2). This analysis follows a four-step process that helps identify the imbalance's underlying cause and nature.
First, the pH level is assessed to determine whether the blood pH is normal (7.35–7.45), low (acidosis), or high (alkalosis).
Next, the PCO2  and...
1.3K
Characteristics of Life01:23

Characteristics of Life

262.0K
Biology is a natural science that studies life and living organisms, including their structure, function, development, interactions, evolution, distribution, and taxonomy. The field's scope is extensive and divided into several specialized disciplines, such as anatomy, physiology, ethology, genetics, and many more. All living things share a few key traits, including cellular organization, heritable genetic material and the ability to adapt/evolve, metabolism to regulate energy needs, the...
262.0K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K

You might also read

Related Articles

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

Sort by
Same author

Developing Synthetic Parameters Using Frequency Band Ratios for Muscle Fatigue Analysis During Isometric Contractions by Using Shoulder Muscles.

Sensors (Basel, Switzerland)·2025
Same author

Correlation between Muscular Activity and Vehicle Motion during Double Lane Change Driving.

Sensors (Basel, Switzerland)·2024
Same author

Effect of hand postures and object properties on forearm muscle activities using surface electromyography.

International journal of occupational safety and ergonomics : JOSE·2018
See all related articles

Related Experiment Video

Updated: Feb 7, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K

Bayesian network model to diagnose WMSDs with working characteristics.

Gilseung Ahn1, Sun Hur1, Myung-Chul Jung2

  • 1Department of Industrial and Management Engineering, Hanyang University, Republic of Korea.

International Journal of Occupational Safety and Ergonomics : JOSE
|July 24, 2018
PubMed
Summary

Job characteristics like working hours and pace significantly influence work-related musculoskeletal disorders (WMSDs). A new Bayesian network (BN) model accurately calculates the probability of developing WMSDs based on working conditions.

Keywords:
Bayesian networkwork-related musculoskeletal disordersworking characteristics

More Related Videos

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K
Perfusable Vascular Network with a Tissue Model in a Microfluidic Device
07:05

Perfusable Vascular Network with a Tissue Model in a Microfluidic Device

Published on: April 4, 2018

14.9K

Related Experiment Videos

Last Updated: Feb 7, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K
Perfusable Vascular Network with a Tissue Model in a Microfluidic Device
07:05

Perfusable Vascular Network with a Tissue Model in a Microfluidic Device

Published on: April 4, 2018

14.9K

Area of Science:

  • Occupational Health
  • Biostatistics
  • Ergonomics

Background:

  • Work-related musculoskeletal disorders (WMSDs) pose a significant health burden.
  • Understanding the impact of job characteristics on WMSDs is crucial for prevention.
  • Existing diagnostic methods may not fully capture the probabilistic nature of WMSD development.

Purpose of the Study:

  • To identify and quantify the relationships between specific working characteristics and WMSDs.
  • To develop a robust Bayesian network (BN) model for probabilistic WMSD diagnosis.
  • To assess the diagnostic performance of the BN model against other machine learning approaches.

Main Methods:

  • Construction of a conceptual model based on Bayesian network principles.
  • Statistical testing and refinement to establish a validated BN model.
  • Comparative analysis of the BN model's diagnostic performance against artificial neural networks, support vector machines, and decision trees.

Main Results:

  • The developed BN model demonstrated superior diagnostic performance compared to artificial neural network, support vector machine, and decision tree methods.
  • The BN model proved robust in diagnosing WMSDs based on identified working characteristics.
  • Key working characteristics, including working hours and pace, were confirmed to impact WMSD incidence rates.

Conclusions:

  • Working characteristics demonstrably influence the incidence rate of WMSDs.
  • The developed Bayesian network model provides a reliable tool for the probabilistic diagnosis of WMSDs.
  • This research offers a novel approach to understanding and managing WMSDs in the workplace.