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

Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

3.3K
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
3.3K
Sampling Plans01:23

Sampling Plans

991
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
991
Sample Handling01:02

Sample Handling

2.7K
Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...
2.7K
Sampling Theorem01:15

Sampling Theorem

1.4K
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
1.4K
Bandpass Sampling01:17

Bandpass Sampling

533
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
533
Sampling Distribution01:12

Sampling Distribution

18.0K
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
18.0K

You might also read

Related Articles

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

Sort by
Same author

Underfunding of Psychiatric Services for the Civilly and Criminally Committed.

The journal of the American Academy of Psychiatry and the Law·2022
Same author

Voluntary intoxication, homicide, and mens rea: Past, present, and future.

Behavioral sciences & the law·2021
Same author

Determining a Criminal Defendant's Competency to Proceed With an Extradition Hearing.

The journal of the American Academy of Psychiatry and the Law·2015
Same author

The Ever-Evolving Duty to Protect in California.

The journal of the American Academy of Psychiatry and the Law·2015
Same author

Informed Consent at Gunpoint: When Psychiatry Affects Gun Ownership.

Behavioral sciences & the law·2015
Same author

No duty to warn in California: now solely and unambiguously a duty to protect.

The journal of the American Academy of Psychiatry and the Law·2014
Same journal

GenoEye: A machine learning-based framework for the prediction of intermediate eye color phenotypes.

Journal of forensic sciences·2026
Same journal

Sharp force trauma analysis without animal bones: A proposal for sustainable and ethical bone proxies.

Journal of forensic sciences·2026
Same journal

Absolute dating of modern paper using <sup>14</sup>C bomb peak data of the paper fibers.

Journal of forensic sciences·2026
Same journal

Forensic timeline investigation of Apple Health app on iOS.

Journal of forensic sciences·2026
Same journal

Help v. harm: How a "lookup table" for evaluating DNA evidence given activity-level propositions could lead to wrongful convictions.

Journal of forensic sciences·2026
Same journal

Correction to "Development and Evaluation of an Iodoplatinate-Based Strip-Type Kit for On-Site Drug Screening in Beverages".

Journal of forensic sciences·2026
See all related articles

Related Experiment Video

Updated: Feb 5, 2026

An All-in-one Sample Holder for Macromolecular X-ray Crystallography with Minimal Background Scattering
07:55

An All-in-one Sample Holder for Macromolecular X-ray Crystallography with Minimal Background Scattering

Published on: July 6, 2019

13.9K

Insane Arsonists: An Early 21st Century Sample.

Gregory B Leong1,2, Crystal Mueller1, Mendel Feldsher1

  • 1Forensic Evaluation Department, Patton State Hospital, 3102 East Highland Avenue, Patton, CA, 92369.

Journal of Forensic Sciences
|September 1, 2018
PubMed
Summary
This summary is machine-generated.

Individuals found not guilty by reason of insanity for arson often lack psychiatric treatment. Re-engaging in treatment is crucial for preventing future arson offenses among this population.

Keywords:
arsonfire settingforensic scienceinsanitypsychosisschizoaffective disorderschizophreniaschizophrenia spectrum disorder

More Related Videos

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
10:16

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis

Published on: December 16, 2016

50.9K
Seawater Sampling and Collection
08:23

Seawater Sampling and Collection

Published on: June 17, 2009

20.8K

Related Experiment Videos

Last Updated: Feb 5, 2026

An All-in-one Sample Holder for Macromolecular X-ray Crystallography with Minimal Background Scattering
07:55

An All-in-one Sample Holder for Macromolecular X-ray Crystallography with Minimal Background Scattering

Published on: July 6, 2019

13.9K
Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
10:16

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis

Published on: December 16, 2016

50.9K
Seawater Sampling and Collection
08:23

Seawater Sampling and Collection

Published on: June 17, 2009

20.8K

Area of Science:

  • Forensic Psychiatry
  • Criminology
  • Psychiatric Epidemiology

Background:

  • Individuals found not guilty by reason of insanity (NGRI) for arson represent a specific forensic psychiatric population.
  • Understanding the characteristics and treatment needs of NGRI arsonists is essential for public safety and effective intervention.

Purpose of the Study:

  • To analyze the demographic and clinical characteristics of individuals committed to a California state psychiatric hospital for arson under NGRI.
  • To identify factors contributing to arson offenses in this population and inform treatment strategies.

Main Methods:

  • Cross-sectional analysis of 41 individuals found NGRI for arson and committed to a California state psychiatric hospital as of October 1, 2016.
  • Data collection included demographic information, psychiatric treatment history at the time of the index offense, and prior arson-related legal findings.

Main Results:

  • The study group comprised 33 males (80.5%) and 8 females (19.5%), with a mean age of 35.9 years at the time of the index arson.
  • A significant majority (87.8%) were not participating in psychiatric treatment at the time of their index arson offense.
  • 12.2% had previous NGRI findings or convictions for arson.

Conclusions:

  • Lack of participation in psychiatric treatment emerged as the most significant factor contributing to index arson offenses among NGRI individuals.
  • Subsequent psychiatric treatment plans must prioritize addressing treatment non-adherence and engagement for this population.
  • Findings underscore the importance of continuous psychiatric care for individuals with a history of arson and NGRI status.