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

Review and Preview01:13

Review and Preview

9.2K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
9.2K
Viral Structure00:56

Viral Structure

63.3K
Viruses are extraordinarily diverse in shape and size, but they all have several structural features in common. All viruses have a core that contains a DNA- or RNA-based genome. The core is surrounded by a protective coat of proteins called the capsid. The capsid is composed of subunits called capsomeres. The capsid and genome-containing core are together known as the nucleocapsid.
63.3K
Synaptic Signaling01:09

Synaptic Signaling

5.7K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
5.7K
Communication01:03

Communication

7.8K
Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
7.8K
Ogive Graph01:07

Ogive Graph

5.8K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
5.8K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

13.0K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
13.0K

You might also read

Related Articles

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

Sort by
Same author

A to Z of Health: An Evidence-Based Narrative Review of Multivitamin-Multimineral and Nutraceutical Supplementation.

Cureus·2026
Same author

Screening for Firearm Violence Exposure in Adolescents and Young Adults.

Journal of the American Board of Family Medicine : JABFM·2026
Same author

What and Why to Enhance Community Awareness on Antimicrobial Resistance.

WHO South-East Asia journal of public health·2025
Same author

Need to demystify One Health approach.

The Indian journal of medical research·2024
Same author

Enhancing pap smear image classification: integrating transfer learning and attention mechanisms for improved detection of cervical abnormalities.

Biomedical physics & engineering express·2024
Same author

Contribution of veterinary sector to antimicrobial resistance in One Health compendium: an insight from available Indian evidence.

Frontiers in veterinary science·2024
Same journal

Affine non-negative collaborative representation based pattern classification.

Complex & intelligent systems·2026
Same journal

Predictive maintenance optimization for industrial equipment via reliable prognosis and risk-aware reinforcement learning.

Complex & intelligent systems·2025
Same journal

Verticox+: vertically distributed Cox proportional hazards model with improved privacy guarantees.

Complex & intelligent systems·2025
Same journal

Improving SVM performance through data reduction and misclassification analysis with linear programming.

Complex & intelligent systems·2025
Same journal

Fake news detection based on a hybrid BERT and LightGBM models.

Complex & intelligent systems·2023
Same journal

WRANet: wavelet integrated residual attention U-Net network for medical image segmentation.

Complex & intelligent systems·2023
See all related articles

Related Experiment Video

Updated: Sep 1, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K

Scholarly knowledge graphs through structuring scholarly communication: a review.

Shilpa Verma1, Rajesh Bhatia1, Sandeep Harit1

  • 1Punjab Engineering College, Chandigarh, India.

Complex & Intelligent Systems
|August 15, 2022
PubMed
Summary
This summary is machine-generated.

Scholarly knowledge graphs (SKG) are essential for managing vast academic literature. This review assesses current techniques for constructing, refining, and utilizing SKG, highlighting trends and challenges.

Keywords:
Knowledge graph constructionKnowledge graph embeddingScholarly communicationUtilization

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

551
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

382

Related Experiment Videos

Last Updated: Sep 1, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

551
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

382

Area of Science:

  • Bibliometrics and Scientometrics
  • Information Science
  • Artificial Intelligence in Academia

Background:

  • The exponential growth of academic literature necessitates advanced knowledge mining and management strategies.
  • Information extraction, ontology matching, and relationship identification are crucial for navigating scholarly data.
  • Scholarly knowledge graphs (SKG) are vital for semantic understanding and application in diverse research areas.

Purpose of the Study:

  • To conduct a comprehensive literature review on the construction, refinement, and utilization of scholarly knowledge graphs (SKG).
  • To assess the current state-of-the-art techniques in the scholarly domain.
  • To identify frontier trends and challenges in SKG research.

Main Methods:

  • Analytical methodology to investigate the status of scholarly knowledge graphs (SKG) by structuring scholarly communication.
  • Review of machine learning, rule-based learning, and natural language processing (NLP) approaches for SKG construction.
  • Examination of knowledge graph utilization and refinement strategies.

Main Results:

  • Provides a complete assessment of current state-of-the-art techniques for SKG construction, refinement, and utilization.
  • Highlights the application of ML, rule-based learning, and NLP in building SKG.
  • Offers insights into existing applications and challenges across the SKG lifecycle.

Conclusions:

  • Scholarly knowledge graphs (SKG) are critical for managing and understanding the increasing volume of academic information.
  • The review identifies key trends and challenges, providing a foundation for future research.
  • This work aims to motivate researchers to advance the field of scholarly knowledge graphs.