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

Unrealistic Optimism Bias01:30

Unrealistic Optimism Bias

95
Unrealistic optimism bias is the tendency to overestimate the likelihood of positive outcomes. This cognitive bias makes individuals believe they are less likely to experience failures, setbacks, or risks and more likely to succeed than others. For example, people may assume they are less prone to health issues, accidents, or financial struggles than their peers, even when they share similar risk factors.One key component of this bias is the above-average effect, where individuals perceive...
95
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

193
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...
193
Bonanno's Theory of Grieving01:17

Bonanno's Theory of Grieving

450
Grieving is a complex psychological and emotional process that varies significantly among individuals. George Bonanno's research on bereavement identified four distinct patterns of grieving, offering a nuanced understanding of how people cope with significant loss, such as the death of a spouse, over extended periods. These patterns — resilience, recovery, chronic dysfunction, and delayed grief — highlight the diversity in emotional responses and adaptive mechanisms.
Resilience
450
Design Consideration01:22

Design Consideration

419
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
419
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

221
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
221
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

252
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
252

You might also read

Related Articles

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

Sort by
Same author

Post-<i>Dobbs</i> Psychiatric Exceptions in Abortion-Restricting States.

Psychiatric services (Washington, D.C.)·2024
Same author

Sleep disorders and criminal behavior.

Behavioral sciences & the law·2024
Same author

Red Mist and the Irresistible Defense of "Losing It".

The journal of the American Academy of Psychiatry and the Law·2023
Same author

Criminal Justice Outcomes of Suicide by Cop Survivors.

The journal of the American Academy of Psychiatry and the Law·2023
Same author

The Case Against "Excited Delirium".

The Journal of nervous and mental disease·2023
Same author

Suicide by Cop and Civil Liability for Police.

The journal of the American Academy of Psychiatry and the Law·2023

Related Experiment Video

Updated: Nov 18, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.4K

Balancing Vulnerability and Resilience in Damage Prognostication

Kenneth J Weiss1, Alisa R Gutman2

  • 1Dr. Weiss is Robert L. Sadoff Clinical Professor of Forensic Psychiatry and Dr. Gutman is Clinical Assistant Professor, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA. Dr. Gutman is Medical Director of the Philadelphia Human Rights Clinic, Philadelphia, PA. kenweiss@upenn.edu.

The Journal of the American Academy of Psychiatry and the Law
|February 5, 2021
PubMed
Summary

No abstract available in PubMed .

Keywords:
civil lawdamagesneuroplasticityprognosisresiliencestress

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.3K
Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa
07:14

Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa

Published on: August 30, 2018

7.4K

Related Experiment Videos

Last Updated: Nov 18, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.4K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.3K
Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa
07:14

Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa

Published on: August 30, 2018

7.4K