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

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.1K
VSEPR Theory for Determination of Electron Pair Geometries
46.1K
Prediction Intervals01:03

Prediction Intervals

3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
Le Chatelier's Principle: Changing Temperature02:19

Le Chatelier's Principle: Changing Temperature

35.6K
Consistent with the law of mass action, an equilibrium stressed by a change in concentration will shift to re-establish equilibrium without any change in the value of the equilibrium constant, K. When an equilibrium shifts in response to a temperature change, however, it is re-established with a different relative composition that exhibits a different value for the equilibrium constant.
To understand this phenomenon, consider the elementary reaction:
35.6K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.4K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.4K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

1.2K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
1.2K
Body Temperature01:25

Body Temperature

4.9K
The body's temperature, measured in degrees, is determined by the balance between heat production and dissipation to the surrounding environment. For instance, if exercising vigorously, the body will produce more heat, causing sweat and dissipating that heat. Despite extreme environmental conditions and physical exertion, the human temperature-control system maintains a constant core body temperature (the temperature of deep tissues, which are the tissues located beneath the skin and other...
4.9K

You might also read

Related Articles

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

Sort by
Same author

Automated Detection of Patent Ductus Arteriosus in Pediatric Patients Using Doppler Ultrasonography Videos Based on a Transformer Model.

Journal of imaging informatics in medicine·2026
Same author

Modulating starch digestion kinetics via feed processing: Implications for growth and metabolism in weaned pigs.

Animal nutrition (Zhongguo xu mu shou yi xue hui)·2026
Same author

<i>Enterococcus faecium</i> WEFA23-Derived Surface Layer Protein OTC Prevents <i>Listeria monocytogenes</i> Invasion by Strengthening Intestinal Barrier Function and Modulating Immune Responses.

Foods (Basel, Switzerland)·2025
Same author

Nanozymes modulate probiotic tryptophan metabolism to prevent Salmonella infection in mammalian models.

Nature microbiology·2025
Same author

Surface-layer proteins of Enterococcus faecium WEFA23 inhibit Listeria monocytogenes-induced inflammation via TLR2-mediated NF-κB and MAPK signalling in RAW 264.7 cells.

Microbiological research·2025
Same author

HLA-I genotype landscape in lung cancer and its prognosis value in Chinese small cell lung cancer.

Scientific reports·2025

Related Experiment Video

Updated: Feb 11, 2026

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
10:16

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Published on: April 7, 2020

9.1K

Prediction of Human Performance Using Electroencephalography under Different Indoor Room Temperatures.

Tapsya Nayak1, Tinghe Zhang2, Zijing Mao3

  • 1Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USA. ani254@my.utsa.edu.

Brain Sciences
|April 26, 2018
PubMed
Summary
This summary is machine-generated.

Electroencephalography (EEG) brain signals effectively predict office worker performance under varying indoor temperatures. EEG power spectral densities offer a robust prediction 17 times more accurate than other physiological signals.

Keywords:
electroencephalography (EEG)human performanceindoor room temperatureoffice-work tasksperformance prediction

More Related Videos

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time
06:52

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time

Published on: October 12, 2018

6.8K
Using a Laminating Technique to Perform Confocal Microscopy of the Human Sclera
07:22

Using a Laminating Technique to Perform Confocal Microscopy of the Human Sclera

Published on: May 6, 2016

7.9K

Related Experiment Videos

Last Updated: Feb 11, 2026

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
10:16

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Published on: April 7, 2020

9.1K
An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time
06:52

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time

Published on: October 12, 2018

6.8K
Using a Laminating Technique to Perform Confocal Microscopy of the Human Sclera
07:22

Using a Laminating Technique to Perform Confocal Microscopy of the Human Sclera

Published on: May 6, 2016

7.9K

Area of Science:

  • Neuroscience
  • Environmental Psychology
  • Occupational Health

Background:

  • Indoor environmental conditions significantly impact office worker performance.
  • Previous studies linked poor temperature and air quality to sick building syndrome (SBS).
  • Existing performance prediction models lack satisfactory accuracy.

Purpose of the Study:

  • To predict office worker performance using electroencephalography (EEG) signals.
  • To investigate the impact of different indoor temperatures (22.2°C and 30°C) on performance.
  • To identify reliable predictors of performance in dynamic indoor environments.

Main Methods:

  • Collected EEG, skin temperature, heart rate, and thermal comfort data from seven participants.
  • Utilized regression analysis to assess EEG power spectral densities (PSD) as performance predictors.
  • Compared EEG PSDs against other physiological signals for predictive accuracy.

Main Results:

  • EEG PSDs demonstrated high predictive power for performance (R² > 0.70).
  • EEG-based predictions were 17 times more accurate than those from other physiological signals.
  • EEG PSDs proved to be a robust predictor across different temperature conditions.

Conclusions:

  • EEG signals, specifically PSDs, are highly effective predictors of office worker performance.
  • This study highlights the potential of neurophysiological monitoring for optimizing indoor work environments.
  • Understanding brain activity patterns can inform strategies for maintaining high performance levels regardless of temperature fluctuations.