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

Special Features of Adaptive Immunity01:20

Special Features of Adaptive Immunity

4.6K
The adaptive immune system, a crucial component of the overall immune response, offers a highly specialized defense against pathogens. It involves specific cell types and features, enabling it to combat infections effectively and efficiently.
The primary cell types involved in adaptive immunity are T cells and B cells. Each type has a unique role in defending the body against pathogens. T cells are responsible for cell-mediated immunity. They identify and eliminate infected cells directly,...
4.6K
Methods of Medium Optimization01:28

Methods of Medium Optimization

63
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
63

You might also read

Related Articles

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

Sort by
Same author

In vivo assessment of Berger's space in primary angle closure disease using AS-OCT: a comparative study.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie·2026
Same author

HCA2 activation confers neuroprotection in Parkinson's disease models by suppressing oxidative stress and ferroptosis via the Nrf2/MGST1/GPX4 pathway.

Brain, behavior, and immunity·2026
Same author

Coixol ameliorates dopaminergic neurodegeneration by inhibiting neuroinflammation and protecting mitochondrial function.

Frontiers in pharmacology·2025
Same author

TRPM8 activation inhibits neuroinflammation and ameliorates neurodegeneration by modulating Nrf2/HO-1 and NF-κB pathways in vivo and in vitro.

Free radical biology & medicine·2025
Same author

Stigmasterol from Prunella vulgaris L. Alleviates LPS-induced mammary gland injury by inhibiting inflammation and ferroptosis.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2025
Same author

Orally Administered Ginkgolide C Alleviates MPTP-Induced Neurodegeneration by Suppressing Neuroinflammation and Oxidative Stress through Microbiota-Gut-Brain Axis in Mice.

Journal of agricultural and food chemistry·2024
Same journal

RETRACTION: Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026
See all related articles

Related Experiment Video

Updated: Apr 17, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.6K

AITSO: a tool for spatial optimization based on artificial immune systems.

Xiang Zhao1, Yaolin Liu2, Dianfeng Liu1

  • 1School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China.

Computational Intelligence and Neuroscience
|February 14, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces AITSO, a free, universal tool for spatial optimization in geocomputation. AITSO addresses the lack of user-friendly software, enabling easier application of artificial immune systems for complex spatial problems.

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.4K

Related Experiment Videos

Last Updated: Apr 17, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.6K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.4K

Area of Science:

  • Geocomputation and spatial analysis
  • Artificial intelligence in geospatial science

Background:

  • Spatial optimization presents significant challenges due to high-dimensional and nonlinear relationships.
  • Artificial immune system algorithms show promise but lack accessible professional software.

Purpose of the Study:

  • To introduce AITSO, a free and universal software tool for spatial optimization.
  • To facilitate the development and adoption of artificial immune systems in geocomputation.

Main Methods:

  • Development of AITSO as a flexible and integrated platform.
  • Inclusion of standard application programming interfaces (APIs) for custom plugin development.
  • Support for implementing advanced immune operators to enhance algorithm performance.

Main Results:

  • AITSO provides a user-friendly interface for tackling complex optimization problems.
  • The tool supports the creation of problem-specific plugins and integration of novel algorithms.
  • Facilitates knowledge sharing and practical application of spatial optimization techniques.

Conclusions:

  • AITSO is expected to significantly advance the development and popularity of spatial optimization in geocomputation.
  • The tool democratizes access to advanced optimization methods for researchers and practitioners.
  • Enhances the practical utility and accessibility of artificial immune systems for spatial analysis.