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

Classification of Illness01:17

Classification of Illness

8.2K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.2K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

17.3K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
17.3K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

39.5K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
39.5K
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

4.5K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
4.5K
Classification of Signals01:30

Classification of Signals

1.1K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.1K
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

6.1K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
6.1K

You might also read

Related Articles

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

Sort by
Same author

Identification of pain-related biomarkers and the associated potential molecular regulation mechanism in pulpitis by bioinformatics method.

Journal of endodontics·2026
Same author

Correction: Trends in cardiovascular mortality related to rheumatoid arthritis among U.S. adults, 1999-2023.

Frontiers in cardiovascular medicine·2026
Same author

Randomized Controlled Trial of Individualized Intervention for Frailty Reversal in Older Patients With Nondialysis CKD.

Kidney international reports·2026
Same author

Balloon-occluded hepatic arterial infusion for unresectable hepatocellular carcinoma: a phase II trial interim analysis.

Frontiers in oncology·2026
Same author

A Novel piRNA-Mediated Epigenetic Axis: piR-36241 Exacerbates Pulpitis by Silencing the Protective Receptor ADGRG2 in Human Dental Pulp Stem Cells.

International endodontic journal·2026
Same author

Excitatory paraventricular thalamus-posterior insular cortex circuit mediates pain-anxiety comorbidity in diabetic neuropathy.

Translational psychiatry·2026
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Nov 17, 2025

Author Spotlight: Studying Host-Virus Interactions with Pseudotyped Viruses
05:49

Author Spotlight: Studying Host-Virus Interactions with Pseudotyped Viruses

Published on: November 21, 2023

2.1K

Classification aware neural topic model for COVID-19 disinformation categorisation.

Xingyi Song1, Johann Petrak1,2, Ye Jiang1

  • 1Department of Computer Science, University of Sheffield, Sheffield, United Kingdom.

Plos One
|February 18, 2021
PubMed
Summary
This summary is machine-generated.

We developed computational methods to categorize COVID-19 disinformation, aiding fact-checkers and policymakers. This helps combat misinformation and rebuild trust during public health crises.

More Related Videos

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.1K
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.5K

Related Experiment Videos

Last Updated: Nov 17, 2025

Author Spotlight: Studying Host-Virus Interactions with Pseudotyped Viruses
05:49

Author Spotlight: Studying Host-Virus Interactions with Pseudotyped Viruses

Published on: November 21, 2023

2.1K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.1K
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.5K

Area of Science:

  • Computational Social Science
  • Public Health Communication
  • Information Science

Background:

  • The COVID-19 pandemic saw a surge in disinformation, overwhelming fact-checking resources and hindering government responses.
  • Disinformation erodes public trust in medical science, policymakers, and governmental institutions.

Purpose of the Study:

  • To develop computational methods for categorizing COVID-19 disinformation.
  • To provide tools for focusing fact-checking efforts and guiding public health messaging.
  • To analyze trends and characteristics of COVID-19 disinformation.

Main Methods:

  • Creation of a large, manually annotated corpus of COVID-19 disinformation categories.
  • Development of a classification-aware neural topic model (CANTM) for disinformation classification and topic discovery.
  • Extensive analysis of disinformation by time, volume, falsehood type, media, and origin.

Main Results:

  • The largest available dataset of manually annotated COVID-19 disinformation categories.
  • A novel CANTM for effective disinformation classification and topic modeling.
  • Detailed insights into the landscape of COVID-19 disinformation.

Conclusions:

  • Computational categorization of disinformation is crucial for effective public health responses.
  • The developed methods and corpus can enhance fact-checking and policy-making.
  • Understanding disinformation dynamics is key to mitigating its impact.