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

Fluid Movement Between Compartments01:18

Fluid Movement Between Compartments

1.5K
The force applied by fluids against a surface, known as hydrostatic pressure, initiates the transfer of fluid among different compartments. Within our blood vessels, the blood's hydrostatic pressure is a result of the heart's pumping action. At the arteriolar end of capillaries, hydrostatic pressure (capillary blood pressure) exceeds the opposing colloid osmotic pressure created primarily by plasma proteins like albumin. This discrepancy in pressure propels plasma and nutrients from the...
1.5K
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

421
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
421
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

136
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
136
Types of Fluids01:27

Types of Fluids

532
Fluids can be classified into Newtonian and non-Newtonian fluids based on their response to shear stress. Newtonian fluids have a linear relationship between shear stress and the shear strain rate, following Newton's law of viscosity. Their viscosity remains constant regardless of the shear rate, making their behavior predictable and easier to analyze. Common examples include water, air, oil, and gasoline.
In contrast, non-Newtonian fluids do not follow Newton's law of viscosity, and...
532
Characteristics of Fluids01:20

Characteristics of Fluids

5.6K
When a force is applied parallel to the top surface of a solid, it resists the applied force due to the internal frictional forces between the layers of the solid known as shearing resistance. However, when the force is removed, the shearing forces restore the original shape of the solid. Other deformation forces also cause temporary changes in shape if the forces are not beyond a threshold magnitude. Solids tend to retain their shape, making the study of their rest and motion easier. Beyond...
5.6K
Signal Flow Graphs01:18

Signal Flow Graphs

333
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
333

You might also read

Related Articles

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

Sort by
Same author

Cognitive and brain function enhancement in Gen X group after personalized, AI supervised EEG-neurofeedback training.

Journal of neural engineering·2026
Same author

Decoding the human brain during intelligence testing.

Communications biology·2025
Same author

Visual working memory performance after the theta cycle length modulation using transcranial alternating current.

Brain research·2025
Same author

Transcranial alternating current stimulation barely enhances working memory in healthy adults: A meta-analysis.

Brain research·2024
Same author

No effects of the theta-frequency transcranial electrical stimulation for recall, attention control, and relation integration in working memory.

Frontiers in human neuroscience·2024
Same author

Schizophrenia patients perform as well as healthy controls on creative problem solving when fluid intelligence is accounted for.

Cognitive neuropsychiatry·2023

Related Experiment Video

Updated: Sep 26, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

2.2K

Graph Mapping: A novel and simple test to validly assess fluid reasoning.

Jan Jastrzębski1, Michał Ociepka2, Adam Chuderski3

  • 1Institute of Philosophy, Jagiellonian University, Grodzka 52, 31-044, Krakow, Poland. jastrz.jan@gmail.com.

Behavior Research Methods
|April 20, 2022
PubMed
Summary

Graph Mapping is a new computerized test measuring fluid intelligence (reasoning ability) by assessing structure mapping skills. This novel assessment demonstrates strong psychometric properties, comparable to established fluid reasoning tests.

Keywords:
Fluid intelligenceGfIntelligence testReasoningWorking memory

More Related Videos

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents
04:41

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents

Published on: December 2, 2022

2.9K
Practical Methodology of Cognitive Tasks Within a Navigational Assessment
05:19

Practical Methodology of Cognitive Tasks Within a Navigational Assessment

Published on: June 1, 2015

13.7K

Related Experiment Videos

Last Updated: Sep 26, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

2.2K
Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents
04:41

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents

Published on: December 2, 2022

2.9K
Practical Methodology of Cognitive Tasks Within a Navigational Assessment
05:19

Practical Methodology of Cognitive Tasks Within a Navigational Assessment

Published on: June 1, 2015

13.7K

Area of Science:

  • Cognitive Psychology
  • Psychometrics
  • Artificial Intelligence

Background:

  • Fluid intelligence, a key component of general intelligence, is crucial for reasoning and problem-solving.
  • Traditional fluid intelligence tests often have limitations in administration time, item generation flexibility, and susceptibility to practice effects.
  • There is a need for novel, efficient, and psychometrically sound measures of fluid intelligence.

Purpose of the Study:

  • To introduce Graph Mapping, a novel computerized test designed to measure fluid intelligence.
  • To evaluate the psychometric properties, including validity and reliability, of the Graph Mapping test.
  • To highlight the practical advantages and flexibility of Graph Mapping for various research designs.

Main Methods:

  • The Graph Mapping test involves participants mapping corresponding nodes between visually distinct yet mathematically isomorphic graphs.
  • Test difficulty is manipulated by varying graph complexity and visual dissimilarity.
  • Psychometric properties were assessed by comparing Graph Mapping to established fluid reasoning tests.

Main Results:

  • Graph Mapping demonstrated excellent psychometric properties, with convergent validity and reliability comparable to leading traditional fluid reasoning tests.
  • The test allows for flexible item generation, ranging from easy to extremely difficult, supporting progressive item sequences.
  • The software enables various testing configurations, including randomization and adaptive testing, suitable for diverse research designs.

Conclusions:

  • Graph Mapping is a simple, effective, and flexible computerized tool for assessing fluid intelligence.
  • Its psychometric soundness and practical advantages make it a valuable alternative to traditional fluid reasoning assessments.
  • The test's adaptability supports its use in correlational studies, within-subject designs, longitudinal research, and adaptive testing.