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

Natural and Artificial Concepts01:24

Natural and Artificial Concepts

597
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
597
The Nativist Approach01:21

The Nativist Approach

492
The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...
492
Concepts and Prototypes01:24

Concepts and Prototypes

589
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
589
Improving Translational Accuracy02:07

Improving Translational Accuracy

15.2K
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...
15.2K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.7K
3.7K
Synthetic Biology02:55

Synthetic Biology

5.7K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.7K

You might also read

Related Articles

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

Sort by
Same author

Decolorization with Warmth-Coolness Adjustment in an Opponent and Complementary Color System.

Journal of imaging·2025
Same author

Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review.

JMIR medical informatics·2025
Same author

A benchmark for Rey-Osterrieth complex figure test automatic scoring.

Heliyon·2024
Same author

Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning.

Frontiers in neuroinformatics·2024
Same author

Designing an effective semantic fluency test for early MCI diagnosis with machine learning.

Computers in biology and medicine·2024
Same author

A Long Skip Connection for Enhanced Color Selectivity in CNN Architectures.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Feb 22, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

755

Extending XNAT Platform with an Incremental Semantic Framework.

Santiago Timón1,2,3, Mariano Rincón1, Rafael Martínez-Tomás1

  • 1Departamento de Inteligencia Artificial, Universidad Nacional de Educación a DistanciaMadrid, Spain.

Frontiers in Neuroinformatics
|September 16, 2017
PubMed
Summary

This study introduces an incremental semantic framework to improve data integration in biobanking systems. The approach enhances data sharing and accessibility for neuroscience research, aiding biomarker discovery for neurodegenerative diseases.

Keywords:
Neurodegenerative DiseasesSemantic WebXNATbiomedical ontologiesdata analysisdata exchangeknowledge management

More Related Videos

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K
Analysis of Multidimensional Microscopy Data Using Cell-ACDC
06:17

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Published on: November 7, 2025

591

Related Experiment Videos

Last Updated: Feb 22, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

755
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K
Analysis of Multidimensional Microscopy Data Using Cell-ACDC
06:17

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Published on: November 7, 2025

591

Area of Science:

  • Neuroscience
  • Bioinformatics
  • Biomedical Informatics

Background:

  • Informatics and data sharing are crucial for advancing neuroscience research, enabling collaboration and replication.
  • Current data archiving solutions face challenges in distributed data integration due to disparate data models and the need for explicit agreements.
  • Ontologies offer common vocabularies but can have scalability issues, domain bias, and loss of low-level data access in biomedical research.

Purpose of the Study:

  • To design and implement an incremental semantic framework to enhance the application of semantic models in biobanking systems.
  • To address challenges in distributed data integration and improve data accessibility for neuroscience research.
  • To facilitate biomarker discovery for neurodegenerative diseases by improving data management.

Main Methods:

  • Developed an incremental semantic framework utilizing advanced biomedical ontologies and the XNAT platform.
  • Implemented a layered architecture for aligning multi-domain biomedical ontologies.
  • Integrated the framework into the JPND (EU Joint Program for Neurodegenerative Disease) APGeM project.

Main Results:

  • The framework enables the alignment of multi-domain ontologies, managing data at various abstraction levels.
  • Improved data integration and accessibility within the APGeM project for Alzheimer's and dementia biomarker research.
  • Demonstrated a scalable and flexible approach to semantic data management in biobanking.

Conclusions:

  • The proposed incremental semantic framework effectively addresses limitations of traditional ontology applications in biobanking.
  • This approach enhances data integration and accessibility, crucial for collaborative neuroscience research and biomarker discovery.
  • The framework provides a robust solution for managing complex biomedical data, supporting initiatives like the JPND APGeM project.