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

Protein Networks02:26

Protein Networks

4.1K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.1K
Relationship Formation02:12

Relationship Formation

41.0K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
41.0K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

140
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
140
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

8.6K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
8.6K
Receptor Tyrosine Kinases01:26

Receptor Tyrosine Kinases

13.9K
Receptor tyrosine kinases or RTKs are membrane-bound receptors that phosphorylate specific tyrosine on protein substrates. RTKs regulate cellular growth, differentiation, survival, and migration. They contain an extracellular ligand binding domain, a transmembrane domain, and a cytosolic tail with intrinsic kinase activity. Several extracellular signaling molecules activate RTKs in one or more ways and relay the signal downstream. Ligands such as platelet-derived growth factor (PDGF) or...
13.9K
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

5.5K
Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
5.5K

You might also read

Related Articles

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

Sort by
Same author

An all-in-one microfluidic system via data-driven design for on-site genotyping of genetically modified foods.

Biosensors & bioelectronics·2026
Same author

Serum-based untargeted metabolomics reveals the therapeutic mechanism of asiatic acid against atherosclerosis in ApoE<sup>-/-</sup> mice.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

Multi-Omics Analysis Reveals the Gut-Mediated Mechanism Underlying the Seasonal Non-Laying Phenotype in Zhedong White Geese (<i>Anser cygnoides domesticus</i>).

Animals : an open access journal from MDPI·2026
Same author

Nicorandil to Prevent Contrast-Associated Kidney Injury in High-Risk PCI.

Circulation. Cardiovascular interventions·2026
Same author

Oestrogen synthesis mediated by Hsd17b12 isoforms and dynamic regulation by Cyp19a in the olive flounder (Paralichthys olivaceus).

The FEBS journal·2026
Same author

Establishment of methods for visual and rapid detection of piscine lactococcosis based on isothermal recombinase polymerase amplification.

BMC veterinary research·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: Sep 6, 2025

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

562

TRR: Target-relation regulated network for sequential recommendation.

Weiqiang Di1, ZhiHao Wu1, Youfang Lin1

  • 1School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.

Plos One
|June 24, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel target-relation regulated mechanism to improve recommendation systems by leveraging item relationships. The proposed method enhances matching scores by considering item correlations, significantly outperforming existing models.

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

885

Related Experiment Videos

Last Updated: Sep 6, 2025

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

562
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

885

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Machine Learning

Background:

  • Item co-occurrence is crucial for recommendation systems.
  • Item relations (e.g., complement, substitute) offer valuable insights into user behavior.
  • Existing methods can be improved by better utilizing these item relationships.

Purpose of the Study:

  • To propose a novel target-relation regulated mechanism for recommendation systems.
  • To leverage biased knowledge from high correlations between target and relational items.
  • To enhance the characterization of matching scores between target and historical items.

Main Methods:

  • Focusing on tuples of target items and their latest relational items in user behavior sequences.
  • Developing a mechanism that converts high correlation of matching degrees into a regulation.
  • Integrating target and relational items as a whole to characterize matching scores.

Main Results:

  • The proposed model significantly outperforms a set of state-of-the-art recommendation models.
  • Experiments on three real-world datasets validate the effectiveness of the approach.
  • The target-relation regulated mechanism demonstrably improves recommendation performance.

Conclusions:

  • Leveraging item relations through a target-relation regulated mechanism is effective for recommendation.
  • The proposed method provides a robust way to integrate biased knowledge from item correlations.
  • This approach offers a significant advancement in recommendation system performance.