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

One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

873
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
873
Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

1.3K
Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
A simple pendulum can be described as a point mass and a string. Meanwhile, a physical pendulum is any object whose oscillations are similar to a simple pendulum, but cannot be modeled as a point mass on a string because its mass is distributed over a larger area. The behavior of a physical pendulum can be modeled using the principles of...
1.3K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.4K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.4K
Three-Dimensional Force System01:30

Three-Dimensional Force System

2.9K
In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
2.9K
Two-Dimensional Force System01:20

Two-Dimensional Force System

1.7K
A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:
1.7K
Controller Configurations01:22

Controller Configurations

399
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
399

You might also read

Related Articles

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

Sort by
Same author

SMaRT-Net: A novel framework of 7T brain MRI superresolution for Alzheimer's disease diagnosis and mild cognitive impairment prognostication.

NeuroImage·2026
Same author

A chromatin-associated pool of Aurora A controls kinetochore-microtubule attachments to ensure chromosome biorientation.

Science advances·2026
Same author

Exploring the association between the knee injury and osteoarthritis outcome score-patellofemoral subscale and lower extremity kinematics and strength in individuals with patellofemoral pain.

Journal of bodywork and movement therapies·2026
Same author

Design and Validation of a Hand Interossei Muscle Dynamometer (HIMDNA) for Finger Abduction and Adduction Strength Measurement.

Annals of biomedical engineering·2026
Same author

Diagnostic Challenges of Lepromatous Leprosy in a Non-Endemic Setting: A Case of Atypical Primary Hyperpigmentation.

International journal of dermatology·2026
Same author

Advanced stacked modeling techniques for material porosity estimation via high-resolution computed tomography imaging.

Scientific reports·2026
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 20, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

10.3K

Hardware-independent control for partial gravity simulation using a 2-DOF robotic device.

Yoon Jae Kim1, Sungwoo Park2,3, Sungwan Kim4,5

  • 1Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, 03080, Korea.

Scientific Reports
|February 18, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a new algorithm for time-averaged simulated partial gravity (taSPG) to better understand spaceflight

Keywords:
ClinostatMarsMoonTime-averaged simulated microgravityTime-averaged simulated partial gravity

More Related Videos

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.1K
Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

16.1K

Related Experiment Videos

Last Updated: Feb 20, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

10.3K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.1K
Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

16.1K

Area of Science:

  • Space Biology
  • Biomedical Engineering
  • Gravitational Physiology

Background:

  • Spaceflight induces physiological changes due to microgravity.
  • 3D clinostats simulate microgravity (taSMG) for Earth-based research.
  • Time-averaged simulated partial gravity (taSPG) mimics lunar and Martian gravity.

Purpose of the Study:

  • To develop a versatile taSPG algorithm independent of specific hardware.
  • To overcome the 0.44 g limitation of existing taSPG algorithms.
  • To accurately simulate partial gravity environments for physiological studies.

Main Methods:

  • Developed a novel, hardware-independent control algorithm for taSPG.
  • Validated the algorithm through computational simulations.
  • Confirmed experimental accuracy using the new algorithm on clinostat devices.

Main Results:

  • The new algorithm accurately implemented taSPG up to 0.809 g.
  • taSPG levels approaching 1 g are achievable by adjusting parameters.
  • Experimental taSPG in the 0.265 g to 0.635 g range showed <1% deviation from simulations.

Conclusions:

  • The improved taSPG algorithm offers greater versatility and accuracy.
  • This advancement enables more precise simulation of partial gravity environments.
  • Facilitates better prediction of spaceflight physiological effects and underlying mechanisms.