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

Improving Translational Accuracy02:07

Improving Translational Accuracy

15.1K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
15.1K
Protein Networks02:26

Protein Networks

4.6K
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,...
4.6K
Translation01:31

Translation

157.4K
Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of...
157.4K
Translation01:31

Translation

18.2K
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Proteins are...
18.2K
Initiation of Translation02:33

Initiation of Translation

39.3K
Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...
39.3K
Intelligence01:27

Intelligence

8.8K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.8K

You might also read

Related Articles

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

Sort by
Same author

Ultrasonic forward modeling of industrial oil-water two-phase flow.

Ultrasonics·2026
Same author

Association between the systemic immune-inflammation index within 1 h after birth and the risk of neonatal respiratory distress syndrome in preterm infants.

BMC pediatrics·2026
Same author

TLCD1 correlates with malignant progression of hepatocellular carcinoma and activation of the ERK signaling cascade.

Scientific reports·2026
Same author

Excitatory synapses onto axonic spines jump-start action potentials and route information flow.

Nature neuroscience·2026
Same author

Ultrasound-assisted hydrophobic deep eutectic solvent extraction and purification of ursolic acid and oleanolic acid from Cornus officinalis: Optimization and mechanistic insights.

Ultrasonics sonochemistry·2026
Same author

Two-dimensional semiconductor photodetectors: from physical mechanisms to intelligent sensing system integration.

Materials horizons·2026

Related Experiment Video

Updated: Feb 15, 2026

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
10:04

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes

Published on: March 3, 2018

7.2K

Cutting Pattern Identification for Coal Mining Shearer through a Swarm Intelligence-Based Variable Translation

Jing Xu1, Zhongbin Wang2, Chao Tan3

  • 1School of Mechatronic Engineering, China University of Mining and Technology, No.1 Daxue Road, Xuzhou 221116, China. xujingcmee@cumt.edu.cn.

Sensors (Basel, Switzerland)
|February 1, 2018
PubMed
Summary

This study introduces a novel method for identifying coal mining shearer cutting patterns using sound signals. The approach achieves 95.25% accuracy, enhancing operational safety and efficiency in mining environments.

Keywords:
bat algorithmcutting pattern identificationdisturbance coefficientensemble empirical mode decompositionsound signalvariable translation wavelet neural network

More Related Videos

Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
06:58

Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling

Published on: October 7, 2021

3.0K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.0K

Related Experiment Videos

Last Updated: Feb 15, 2026

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
10:04

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes

Published on: March 3, 2018

7.2K
Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
06:58

Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling

Published on: October 7, 2021

3.0K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.0K

Area of Science:

  • Engineering
  • Signal Processing
  • Artificial Intelligence

Background:

  • Sound signals offer non-contact, low-power measurement advantages.
  • Accurate identification of coal mining shearer cutting patterns is crucial for safety and efficiency.

Purpose of the Study:

  • To develop an accurate online cutting pattern identification system for coal mining shearers using acoustic signals.
  • To improve the safety and quality of mining operations.

Main Methods:

  • Acoustic signals from shearers were collected and decomposed using adaptive ensemble empirical mode decomposition (EEMD).
  • A 13-dimensional feature vector was extracted based on normalized energy levels.
  • A modified bat algorithm (BA) optimized a variable translation wavelet neural network (VTWNN) for pattern recognition.

Main Results:

  • The proposed VTWNN optimized by the modified BA (VTWNN-MBA) achieved a simulation accuracy of 95.25%.
  • Comparisons demonstrated the effectiveness and superiority of the developed method.

Conclusions:

  • The VTWNN-MBA method provides an effective and accurate solution for online cutting pattern identification in coal mining.
  • This acoustic-based approach enhances safety and operational monitoring in the mining industry.