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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
Current Trends in Nursing I01:28

Current Trends in Nursing I

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Current trends in nursing include:
5.5K
Current Trends in Nursing II01:30

Current Trends in Nursing II

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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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
Long-term Depression01:05

Long-term Depression

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Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
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Related Experiment Video

Updated: Feb 9, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

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Research Trend Visualization by MeSH Terms from PubMed.

Heyoung Yang1, Hyuck Jai Lee2

  • 1Kore Institute of Science and Technology Information, 66, Hoegi-ro, Dongdaemun-gu, Seoul 02456, Korea. hyyang@kisti.re.kr.

International Journal of Environmental Research and Public Health
|June 1, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces MeSH Net, a novel method to visualize biomedical research trends using Medical Subject Headings (MeSH) networks. It helps researchers navigate the vast literature and identify emerging scientific topics.

Keywords:
MeSH NetMeSH correlationsPubMedkeyword networkmedical subject headings

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Area of Science:

  • Biomedical Informatics
  • Bibliometrics
  • Data Visualization

Background:

  • PubMed is a key resource for biomedical literature, but the growing volume presents search challenges.
  • Existing tools struggle to help users effectively navigate and synthesize information from the expanding biomedical corpus.

Purpose of the Study:

  • To develop a new method for visualizing recent research trends in the biomedical field.
  • To address the limitations of current search tools in managing the proliferation of scientific literature.

Main Methods:

  • A novel approach using Medical Subject Headings (MeSH) to analyze and visualize research trends.
  • Calculating correlations between MeSH terms extracted from retrieved literature.
  • Generating a MeSH network (MeSH Net) using the Pathfinder Network algorithm.

Main Results:

  • A case study on immunotherapy and cancer demonstrated that the generated MeSH Net accurately reflects current research activities.
  • The MeSH Net effectively visualizes the landscape of a specific research area.

Conclusions:

  • A prototype application for generating MeSH Nets was developed, serving as a "guide map" for researchers.
  • Combining PubMed with MeSH Net offers a complementary system to aid researchers in information discovery and analysis.