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

Mesh Analysis01:20

Mesh Analysis

1.5K
Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
1.5K
pH Scale02:41

pH Scale

80.0K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
80.0K
Mesh Analysis with Current Sources01:10

Mesh Analysis with Current Sources

2.0K
Mesh analysis becomes simpler when analyzing circuits with current sources, whether independent or dependent. The presence of current sources reduces the number of equations required for analysis. Two cases illustrate this:
Current Source in One Mesh: The analysis process is straightforward when a current source is found in only one mesh within the circuit. Mesh currents are assigned as usual, with the mesh containing the current source excluded from the analysis. Kirchhoff's voltage law...
2.0K
Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

713
In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
713
Tumor Progression02:07

Tumor Progression

7.4K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
7.4K
Scaling01:26

Scaling

596
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
596

You might also read

Related Articles

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

Sort by
Same author

On the state of protein function prediction: a report on the fourth CAFA challenge.

bioRxiv : the preprint server for biology·2026
Same author

PhenoRareAI: Phenotype-based intelligent diagnosis for rare neuromuscular disorders of glycogen storage disease and spinal muscular atrophy.

Health information science and systems·2026
Same author

VACmap: an accurate long-read aligner for unraveling complex genomic rearrangements.

Nature communications·2026
Same author

Clinical Key Features Uncovered by Blood Eosinophilia-Based Machine Learning Classification of Chronic Rhinosinusitis.

International forum of allergy & rhinology·2025
Same author

Vaner2: towards more general biomedical named entity recognition using multi-task large language model encoders.

Health information science and systems·2025
Same author

Re: Letter to the Editor Regarding "Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis Via Machine Learning".

International forum of allergy & rhinology·2025

Related Experiment Video

Updated: Feb 7, 2026

Transvaginal Mesh Insertion in the Ovine Model
10:32

Transvaginal Mesh Insertion in the Ovine Model

Published on: July 27, 2017

16.9K

MeSHLabeler and DeepMeSH: Recent Progress in Large-Scale MeSH Indexing.

Shengwen Peng1,2, Hiroshi Mamitsuka3,4, Shanfeng Zhu5,6,7

  • 1School of Computer Science, Fudan University, Shanghai, China.

Methods in Molecular Biology (Clifton, N.J.)
|July 22, 2018
PubMed
Summary

This study introduces MeSHLabeler and DeepMeSH, advanced systems for automatic Medical Subject Headings (MeSH) indexing. These tools improve biomedical information retrieval by addressing challenges in MeSH term selection and citation text analysis.

Keywords:
MEDLINEMachine learningMeSH indexingMedical subject headingsMulti-label classificationText categorization

More Related Videos

Syringe-injectable Mesh Electronics for Stable Chronic Rodent Electrophysiology
09:58

Syringe-injectable Mesh Electronics for Stable Chronic Rodent Electrophysiology

Published on: July 21, 2018

24.0K
Laparoscopic Repair of Para-Esophageal Hernia Using Absorbable Biosynthetic Mesh
10:52

Laparoscopic Repair of Para-Esophageal Hernia Using Absorbable Biosynthetic Mesh

Published on: September 11, 2021

5.9K

Related Experiment Videos

Last Updated: Feb 7, 2026

Transvaginal Mesh Insertion in the Ovine Model
10:32

Transvaginal Mesh Insertion in the Ovine Model

Published on: July 27, 2017

16.9K
Syringe-injectable Mesh Electronics for Stable Chronic Rodent Electrophysiology
09:58

Syringe-injectable Mesh Electronics for Stable Chronic Rodent Electrophysiology

Published on: July 21, 2018

24.0K
Laparoscopic Repair of Para-Esophageal Hernia Using Absorbable Biosynthetic Mesh
10:52

Laparoscopic Repair of Para-Esophageal Hernia Using Absorbable Biosynthetic Mesh

Published on: September 11, 2021

5.9K

Area of Science:

  • Biomedical Informatics
  • Natural Language Processing
  • Information Retrieval

Background:

  • The US National Library of Medicine (NLM) utilizes Medical Subject Headings (MeSH) for indexing MEDLINE citations, crucial for biomedical information retrieval and text mining.
  • Current automatic MeSH indexing faces challenges: limited MeSH terms per citation (average 12 of 28,000) and reliance on bag-of-words models that miss semantic context.

Purpose of the Study:

  • To develop advanced computational methods for large-scale automatic MeSH indexing.
  • To address the limitations of existing methods in handling the MeSH term selection and citation text representation challenges.

Main Methods:

  • Developed MeSHLabeler using a "learning to rank" (LTR) framework to integrate diverse information for the MeSH side challenge.
  • Developed DeepMeSH, integrating deep semantic representation to overcome the limitations of bag-of-words models for the citation side challenge.

Main Results:

  • MeSHLabeler achieved first place in the BioASQ2 and BioASQ3 challenges.
  • DeepMeSH secured first place in the BioASQ4 and BioASQ5 challenges, demonstrating superior performance in automatic MeSH indexing.
  • The developed systems significantly enhance the accuracy and efficiency of indexing biomedical literature.

Conclusions:

  • MeSHLabeler and DeepMeSH represent significant advancements in automatic MeSH indexing.
  • These methods effectively address key challenges in biomedical information retrieval and text mining.
  • DeepMeSH offers a publicly available resource for improved biomedical data analysis.