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

Retrieval01:12

Retrieval

452
Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
452
ER Retrieval Pathway01:45

ER Retrieval Pathway

4.9K
In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
4.9K
Machines01:19

Machines

581
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
581
Machines: Problem Solving II01:30

Machines: Problem Solving II

677
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
677
Machines: Problem Solving I01:22

Machines: Problem Solving I

722
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
722
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K

You might also read

Related Articles

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

Sort by
Same author

SliceMap: a binary classification-driven 2D pipeline for detecting discriminative candidate regions in brain MRI.

Frontiers in neuroimaging·2026
Same author

A novel machine learning-based algorithm for eQTL identification reveals complex pleiotropic effects in the MHC region.

Briefings in bioinformatics·2026
Same author

Age effect explorer: a Shiny application to browse and visualize tissue-specific age-related gene expression changes.

Bioinformatics advances·2026
Same author

Epigenetic age and cardiometabolic disease in Guatemalan adults: a cross-sectional analysis.

Journal of health, population, and nutrition·2026
Same author

DEDUCE: statistical inference on disease-associated genes uncovers tissue-disease associations.

NAR genomics and bioinformatics·2026
Same author

Predicting Phenoconversion to Clinically Manifest ALS: Results of a Large-Scale Proteomic Study.

medRxiv : the preprint server for health sciences·2025

Related Experiment Video

Updated: Feb 11, 2026

Retrieval of Mouse Oocytes
08:42

Retrieval of Mouse Oocytes

Published on: April 28, 2007

28.6K

Probabilistic and machine learning-based retrieval approaches for biomedical dataset retrieval.

Payam Karisani1, Zhaohui S Qin2, Eugene Agichtein1

  • 1Department of Computer Science, Mathematics & Science Center, Emory University, Suite W401, 400 Dowman Drive NE, Atlanta, Georgia 30322, USA.

Database : the Journal of Biological Databases and Curation
|April 25, 2018
PubMed
Summary

Optimizing keyword weights in search queries improves biomedical dataset retrieval. Machine learning models did not outperform traditional methods with current data, but future data may enhance performance.

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K

Related Experiment Videos

Last Updated: Feb 11, 2026

Retrieval of Mouse Oocytes
08:42

Retrieval of Mouse Oocytes

Published on: April 28, 2007

28.6K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K

Area of Science:

  • Biomedical Informatics
  • Information Retrieval
  • Machine Learning

Background:

  • Effective retrieval of biomedical datasets is crucial for research.
  • The bioCADDIE challenge aimed to improve text-based dataset retrieval.
  • Evaluating diverse information retrieval techniques is necessary.

Purpose of the Study:

  • To assess data-driven, machine learning, and probabilistic approaches for biomedical dataset retrieval.
  • To compare the performance of different information retrieval techniques in this domain.
  • To identify effective strategies for enhancing dataset search accuracy.

Main Methods:

  • Implemented and evaluated probabilistic information retrieval methods, including query term weight optimization, automatic query expansion, and simulated user relevance feedback.
  • Applied machine learning-based re-ranking models.
  • Tested these methods on the bioCADDIE dataset retrieval challenge.

Main Results:

  • Automatically boosting the weights of important keywords in verbose queries proved more effective than other tested probabilistic methods.
  • Machine learning re-ranking models did not surpass probabilistic methods with the available training data.
  • The developed models offer a viable search engine for accessing biomedical datasets.

Conclusions:

  • Keyword weight optimization is a key factor in improving biomedical dataset retrieval.
  • Further improvements in machine learning model performance are anticipated with larger, expertly annotated, or usage-log-derived training datasets.
  • The study provides a foundation for developing more effective biomedical dataset search systems.