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

Formal Charges02:42

Formal Charges

35.8K
In some cases, there are seemingly more than one valid Lewis structures for molecules and polyatomic ions. The concept of formal charges can be used to help predict the most appropriate Lewis structure when more than one reasonable structure exists.
35.8K
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

465
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured...
465
Field Procedure for Staking Out Curves01:26

Field Procedure for Staking Out Curves

212
Staking out curves is an essential process in construction to ensure the accurate alignment of structures along a curved path. This task involves positioning stakes at calculated locations corresponding to the curve's design, effectively translating plans into physical markers in the field. The process begins by determining the geometric parameters of the curve, including the radius, central angle, and tangent distances. These parameters are critical for identifying key points such as the...
212
Properties of the z-Transform II01:16

Properties of the z-Transform II

223
The property of Accumulation in signal processing is derived by analyzing the accumulated sum of a discrete-time signal and using the time-shifting property to determine its z-transform. This principle reveals that the z-transform of the summed signal is related to the z-transform of the original signal by a multiplicative factor.
Moreover, the convolution property indicates that the convolution of two signals in the time domain corresponds to the product of their z-transforms in the frequency...
223
Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

1.5K
A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
1.5K
Castigliano's Theorem01:18

Castigliano's Theorem

608
Castigliano's theorem analyzes displacements and rotations in elastic structures. It relates the derivative of elastic strain energy to the applied forces or moments, allowing for the calculation of deformations. The theorem states that the partial derivative of the total strain energy of a system with respect to a specific load results in the displacement at the point where the load is applied. This principle applies to both forces and moments.
608

You might also read

Related Articles

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

Sort by
Same author

Fuzzy-defined entities: A key concept to strengthen forensic science foundations?

Forensic science international·2024
Same author

Ribosome profiling reveals downregulation of UMP biosynthesis as the major early response to phage infection.

Microbiology spectrum·2024
Same author

Crowdsourcing forensics: Creating a curated catalog of digital forensic artifacts.

Journal of forensic sciences·2022
Same author

Needle in a Whey-Stack: PhRACS as a Discovery Tool for Unknown Phage-Host Combinations.

mBio·2022
Same author

Novel Siphoviridae phage PMBT4 belonging to the group b Lactobacillus delbrueckii subsp. bulgaricus phages.

Virus research·2021
Same author

In Vitro and In Vivo Assessment of the Potential of <i>Escherichia coli</i> Phages to Treat Infections and Survive Gastric Conditions.

Microorganisms·2021

Related Experiment Video

Updated: Oct 19, 2025

Trace Fear Conditioning in Mice
07:02

Trace Fear Conditioning in Mice

Published on: March 20, 2014

33.3K

A formalized model of the Trace.

David-Olivier Jaquet-Chiffelle1, Eoghan Casey1

  • 1University of Lausanne, Batochime, Lausanne, Switzerland.

Forensic Science International
|September 20, 2021
PubMed
Summary

This study introduces a mathematical model for understanding the Trace in forensic science, defining it as a perceptible modification of a Scene resulting from an Event. This framework aims to unify the study of evidence across disciplines.

Keywords:
Abstract TraceAbstract worldCrime sceneDigital forensic scienceHypothetical worldMathematical representationPierceReal worldScene of InvestigationSemioticTangible Trace

More Related Videos

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
10:02

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

Published on: December 24, 2014

11.9K
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

Related Experiment Videos

Last Updated: Oct 19, 2025

Trace Fear Conditioning in Mice
07:02

Trace Fear Conditioning in Mice

Published on: March 20, 2014

33.3K
FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
10:02

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

Published on: December 24, 2014

11.9K
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:

  • Forensic Science
  • Evidence Analysis
  • Mathematical Modeling

Background:

  • The concept of the Trace is fundamental to forensic investigations.
  • Existing understanding of the Trace lacks a unified, formalized framework.
  • Locard's Exchange Principle highlights the transfer of evidence.

Purpose of the Study:

  • To propose a formalized, mathematical model for the Trace.
  • To support a unified understanding of the Trace across scientific disciplines.
  • To enhance the study and application of forensic evidence.

Main Methods:

  • Development of a mathematical model defining the Trace.
  • Representation of the Trace as a modification of a Scene due to an Event.
  • Application of the model to forensic examples like DNA and digital evidence.

Main Results:

  • A precise mathematical definition of the Trace is established.
  • The model demonstrates applicability to diverse forensic evidence types.
  • The conceptualization is extended to broader scientific contexts, including public health events like COVID-19.

Conclusions:

  • The formalized model provides a unified approach to understanding the Trace.
  • This framework strengthens forensic science by promoting cohesive study.
  • Encourages further formalized research into tangible and abstract aspects of the Trace.