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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

105
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
105
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

161
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
161
Quantifying Heat02:46

Quantifying Heat

56.2K
Thermal Energy Microscopically, thermal energy is the kinetic energy associated with the random motion of atoms and molecules. Temperature is a quantitative measure of “hot” or “cold”, which depends on the amount of thermal energy. When the atoms and molecules in an object are moving or vibrating quickly, they have a higher average kinetic energy (KE) (or higher thermal energy), and the object is perceived as “hot”, or it is described as being at a...
56.2K
Manipulation and Analysis01:21

Manipulation and Analysis

61
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
61
Response Surface Methodology01:16

Response Surface Methodology

279
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
279
Hazard Rate01:11

Hazard Rate

189
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
189

You might also read

Related Articles

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

Sort by
Same author

A Glycolytic Gatekeeper in Developmental Cardiomyopathy.

JACC. Basic to translational science·2026
Same author

Evaluation of Pulmonary Artery Flow Reserve in Patients With Chronic Thromboembolic Pulmonary Hypertension: A Pilot Study.

Journal of the American Heart Association·2026
Same author

Transcriptome Reprogramming in Heart Failure: The Hidden Splicing Code.

Current cardiology reports·2026
Same author

Barriers and Facilitators of Exercise Participation Among Community-Dwelling Older Adults with Chronic Conditions: A Qualitative Study Using the COM-B Model and Theoretical Domains Framework.

Healthcare (Basel, Switzerland)·2026
Same author

Microencapsulation of cholic acid via complex coacervation enhances sustained release and antibacterial activity against <i>Escherichia coli</i>.

Frontiers in veterinary science·2026
Same author

H3K18 lactylation promotes allergic airway inflammation in asthma via a CSF1/CSF1R/MAPK autocrine axis.

Respiratory research·2026

Related Experiment Video

Updated: Sep 16, 2025

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

16.9K

Save It for the "Hot" Day: An LLM-Empowered Visual Analytics System for Heat Risk Management.

Haobo Li, Wong Kam-Kwai, Yan Luo

    IEEE Transactions on Visualization and Computer Graphics
    |July 7, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Advanced heat risk management is crucial due to climate change. A new system, Havior, uses Large Language Models (LLMs) and visual analytics to combine numerical data with news insights for better heatwave threat assessment and mitigation.

    More Related Videos

    Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
    10:49

    Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

    Published on: March 16, 2019

    8.7K
    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.2K

    Related Experiment Videos

    Last Updated: Sep 16, 2025

    Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
    06:08

    Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

    Published on: May 5, 2011

    16.9K
    Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
    10:49

    Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

    Published on: March 16, 2019

    8.7K
    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.2K

    Area of Science:

    • Climate Science
    • Data Science
    • Human-Computer Interaction

    Background:

    • Increasing frequency and intensity of heatwaves necessitate improved heat risk management.
    • Existing numerical models lack spatial-temporal resolution and fail to integrate social and behavioral factors.
    • Translating heat risk assessments into effective mitigation strategies remains a challenge.

    Purpose of the Study:

    • To develop a novel approach for comprehensive heat risk assessment and mitigation.
    • To integrate numerical model data with contextual insights from news reports using Large Language Models (LLMs).
    • To introduce Havior, an LLM-empowered visual analytics system for enhanced heat risk management.

    Main Methods:

    • Leveraging Large Language Models (LLMs) for extracting contextual information from news reports.
    • Developing a hybrid approach combining numerical model data with LLM-derived insights.
    • Designing novel visualizations like "thermoglyph" and "news glyph" for intuitive analysis.
    • Conducting information extraction experiments, a case study on the 2022 China Heatwave, and expert surveys/interviews.

    Main Results:

    • Demonstrated the capability of LLMs to extract rich, contextual insights from news reports relevant to heat risks.
    • Showcased Havior's effectiveness in integrating diverse data sources for a holistic risk assessment.
    • Validated the system's utility through a case study and expert feedback, highlighting improved understanding and actionable insights.

    Conclusions:

    • The proposed LLM-empowered visual analytics system, Havior, offers a significant advancement in heat risk management.
    • Integrating LLM-driven news analysis with numerical models provides more comprehensive and actionable heat risk insights.
    • Havior enhances the identification, assessment, and mitigation of heat-related threats, supporting expert decision-making.