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

Short-distance Transport of Resources02:12

Short-distance Transport of Resources

16.9K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
16.9K
Resultant of a General Distributed Loading01:13

Resultant of a General Distributed Loading

857
While designing structures exposed to non-uniform loads, it is crucial to consider the resultant force and its location. This resultant force is a single vector representing the net force applied due to the distributed load.
Examples such as load distribution due to wind and load distribution on a bridge illustrate how this concept is used to analyze and design safe, reliable structures under variable loading conditions. Most structures, such as residential buildings, bridges, and towers, are...
857
Application of Nonlinear Inequalities01:29

Application of Nonlinear Inequalities

57
A nonlinear inequality describes a comparison involving an expression that curves or behaves more complexly than a straight line. These inequalities often appear in forms that include squares, products, or variables in the denominator.To solve such an inequality, one starts by rewriting it so that zero appears on one side. For example, the inequality:  can be factored as: This form makes it easier to identify the values that cause the expression to equal zero. In this case, the key values...
57
Reynolds Transport Theorem01:24

Reynolds Transport Theorem

1.6K
The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit...
1.6K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

884
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
884
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

155
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
155

You might also read

Related Articles

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

Sort by
Same author

Auditory Messages for Intersection Movement Assist (IMA) Systems: Effects of Speech- and Nonspeech-Based Cues.

Human factors·2020
Same author

Allocation of Driver Attention for Varying In-Vehicle System Modalities.

Human factors·2019
Same journal

A Causal Framework for Evaluating the Total Effect of Strategies Aiming to Expand Screening and to Improve Outcomes.

Statistics in medicine·2026
Same journal

Causal Effects on Nonterminal Event Time With Application to Antibiotic Usage and Future Resistance.

Statistics in medicine·2026
Same journal

Subgroup Analysis of Interval-censored Failure Time Data With Application to Alzheimer's Disease.

Statistics in medicine·2026
Same journal

Rejoinder to Commentaries on "A Perspective on the Appropriate Implementation of ICH E9(R1) Addendum Strategies for Handling Intercurrent Events".

Statistics in medicine·2026
Same journal

A Multi-Stage Drop-the-Loser Design With Superiority Boundaries.

Statistics in medicine·2026
Same journal

Interpretable ROI Identification in Brain Image Analysis: Overcoming CNN Black Box Challenges With Kriging-Enhanced Adaptive Sampling.

Statistics in medicine·2026
See all related articles

Related Experiment Video

Updated: Nov 9, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.8K

Sparse group regularization for semi-continuous transportation data.

Tianshu Feng1, Linda Ng Boyle1

  • 1Industrial and Systems Engineering, University of Washington, Seattle, Washington, USA.

Statistics in Medicine
|April 12, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new statistical model for analyzing driving safety data with many zero values and continuous variations. The method effectively identifies factors influencing lane departures, aiding in the design of safer vehicles.

Keywords:
semi-continuous zero-inflated modeltransportation datavariable selection

Related Experiment Videos

Last Updated: Nov 9, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.8K

Area of Science:

  • Traffic Safety and Human Factors
  • Statistical Modeling
  • Public Health

Background:

  • Motor vehicle crashes represent a significant global public health issue.
  • Existing statistical models often struggle with semi-continuous safety data, limiting comprehensive analysis.
  • There is a need for advanced methods to analyze complex driving behavior data.

Purpose of the Study:

  • To develop and validate a variable selection method for semi-continuous zero-inflated (SCZI) models.
  • To address the challenge of analyzing safety metrics with both frequent zero outcomes and continuous variations.
  • To improve understanding of individual differences in driving behavior for enhanced safety.

Main Methods:

  • Introduced a novel group regularization technique tailored for the two-part structure of SCZI models.
  • Proposed a Bayesian information criterion for effective tuning parameter selection.
  • Applied the method to lane position data from a driving simulator study.

Main Results:

  • The proposed variable selection method successfully captured individual differences in driving behavior.
  • Demonstrated the model's ability to handle the zero-inflated and nonzero continuous components of lane position data.
  • Identified key factors influencing lane departures in the driving simulator study.

Conclusions:

  • The developed SCZI model with group regularization offers a robust approach for analyzing complex driving safety data.
  • Findings have direct implications for improving road safety and designing advanced in-vehicle alerting systems.
  • The method provides valuable insights into driver behavior, contributing to accident prevention strategies.