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

State Space Representation01:27

State Space Representation

145
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
145
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

11.5K
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...
11.5K
The Representativeness Heuristic02:13

The Representativeness Heuristic

15.7K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
15.7K
Complementary DNA01:44

Complementary DNA

29.1K
Overview
29.1K
Cartesian Vector Notation01:28

Cartesian Vector Notation

677
Cartesian vector notation is a valuable tool in mechanical engineering for representing vectors in three-dimensional space, performing vector operations such as determining the gradient, divergence, and curl, and expressing physical quantities such as the displacement, velocity, acceleration, and force. By using Cartesian vector notation, engineers can more easily analyze and solve problems in various areas of mechanical engineering, including dynamics, kinematics, and fluid mechanics. This...
677
Associative Learning01:27

Associative Learning

239
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
239

You might also read

Related Articles

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

Sort by
Same author

Valsartan Reduces Myocardial Ischemia-Reperfusion Injury by Inhibiting Ferritinophagy-Mediated Ferroptosis.

Journal of cellular and molecular medicine·2026
Same author

Hypericin Suppresses Liver Cancer Through Autophagic Degradation of AKT and Eliciting Antitumor Immune Response.

Cancer science·2026
Same author

Immunomodulatory effects of Yang He decoction on cyclophosphamide-induced immunosuppression in mice: restoration of immune organ integrity and cytokine balance.

Frontiers in pharmacology·2026
Same author

Functional Suppression of SCAP Triggers Endoplasmic Reticulum Stress-Dependent Ferroptosis by Impairing Cholesterol Metabolism in Gastric Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Effects of Hydrogen-Rich Water on Juvenile Largemouth Bass (<i>Micropterus salmoides</i>) Under Acute Low-Temperature Stress.

Antioxidants (Basel, Switzerland)·2026
Same author

Design, synthesis, and biological evaluation of 6-aryl-3-(3,4,5-trimethoxyphenyl)imidazo[1,2-a]pyridine derivatives as novel tubulin inhibitors with potent anticancer efficacy.

Journal of enzyme inhibition and medicinal chemistry·2026

Related Experiment Video

Updated: May 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

462

SGKGE: Semantically Guided Knowledge Graph Embeddings via Complementary Latent Representations.

Ruizhou Liu, Zongsheng Cao, Zhe Wu

    IEEE Transactions on Neural Networks and Learning Systems
    |April 23, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces semantically guided knowledge graph embeddings (SGKGE) to improve entity representation by capturing diverse semantics. SGKGE enhances knowledge graph completion accuracy and downstream task performance.

    More Related Videos

    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

    1.5K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    430

    Related Experiment Videos

    Last Updated: May 10, 2025

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    462
    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

    1.5K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    430

    Area of Science:

    • Artificial Intelligence
    • Data Science
    • Computer Science

    Background:

    • Knowledge graph (KG) completion is crucial for extracting information from complex datasets.
    • Existing methods struggle with entity polysemy, leading to inaccurate representations.
    • This limitation hinders the effectiveness of KG completion tasks.

    Purpose of the Study:

    • To propose a novel method, semantically guided KG embeddings (SGKGE), for accurate entity representation in KGs.
    • To address the challenge of entity polysemy by capturing fine-grained semantics.
    • To enhance the performance of downstream applications through improved KG embeddings.

    Main Methods:

    • SGKGE utilizes hyperbolic manifolds with learnable curvature for holistic entity semantics.
    • A geometric attention-fusion module aids in efficient reasoning.
    • Cartesian product Riemannian manifolds and a semantic interactions module capture fine-grained semantics.

    Main Results:

    • SGKGE achieves state-of-the-art performance on six KG completion benchmarks.
    • The model demonstrates superior accuracy in representing diverse entity semantics.
    • Improved entity representations lead to enhanced downstream application performance.

    Conclusions:

    • SGKGE effectively addresses entity polysemy in knowledge graphs.
    • The proposed method offers a significant advancement in KG completion.
    • SGKGE provides more accurate entity semantics for various applications.