A5102000070- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Bacteriophages and microbial interactions
- Viral Infectious Diseases and Gene Expression in Insects
- Plant Virus Research Studies
- Complex Systems and Time Series Analysis
- Artificial Immune Systems Applications
- Optimal Power Flow Distribution
- Antimicrobial Resistance in Staphylococcus
- Advanced Numerical Analysis Techniques
- Viral gastroenteritis research and epidemiology
- Streptococcal Infections and Treatments
- Immune Response and Inflammation
- Market Dynamics and Volatility
- Gene Regulatory Network Analysis
- Flow Measurement and Analysis
- T-cell and B-cell Immunology
- Bacterial Genetics and Biotechnology
- Guidance and Control Systems
- Machine Learning in Bioinformatics
- Heat Transfer Mechanisms
- Virus-based gene therapy research
- Microgrid Control and Optimization
- Heat and Mass Transfer in Porous Media
- Neural Networks and Applications
University of Sheffield
2004-2024
Université Paris Cité
2023
Institut Pasteur
2023
Centre National de la Recherche Scientifique
2023
University College London
2007-2018
United States Food and Drug Administration
2013
Scientific Systems (United States)
2006
University of the West of England
2000-2005
Princess Margaret Cancer Centre
2004
Novartis (Canada)
2004
This paper describes an immune system model based on binary strings. The purpose of the is to study pattern-recognition processes and learning that take place at both individual species levels in system. genetic algorithm (GA) a central component model. reports simulation experiments two problems are relevant natural systems. Finally, it reviews relation between explicit fitness-sharing techniques for algorithms, showing implements form implicit fitness sharing.
In typical applications, genetic algorithms (GAs) process populations of potential problem solutions to evolve a single population member that specifies an ‘optimized’ solution. The majority GA analysis has focused on these optimization applications. other applications (notably learning classifier systems and certain connectionist systems), searches for cooperative structures jointly perform computational task. This paper presents this type problem. considers simplified genetics-based...
Article Free Access Share on Fitness inheritance in genetic algorithms Authors: Robert E. Smith University of Alabama AlabamaView Profile , B. A. Dike McDonnell Douglas Corporation CorporationView S. Stegmann Authors Info & Claims SAC '95: Proceedings the 1995 ACM symposium Applied computingFebruary Pages 345–350https://doi.org/10.1145/315891.316014Online:26 February 1995Publication History 108citation1,397DownloadsMetricsTotal Citations108Total Downloads1,397Last 12 Months68Last 6 weeks20...
The Gram-positive opportunistic pathogen Enterococcus faecalis is frequently responsible for nosocomial infections in humans and represents one of the most common bacteria isolated from recalcitrant endodontic (root canal) infections. E. intrinsically resistant to several antibiotics routinely used clinical settings (such as cephalosporins aminoglycosides) can acquire resistance vancomycin (vancomycin-resistant enterococci).
Enterococcus faecalis is an opportunistic pathogen with intrinsically high resistance to lysozyme, a key effector of the innate immune system. This level requires complex network transcriptional regulators and several genes (oatA, pgdA, dltA sigV) acting synergistically inhibit both enzymatic cationic antimicrobial peptide activities lysozyme. We sought identify novel modulating E. Random transposon mutagenesis carried out in quadruple oatA/pgdA/dltA/sigV mutant led identification...
This paper applies algorithmic analysis to large amounts of financial market text-based data assess how narratives and sentiment play a role in driving developments the system. We find that changes emotional content are highly correlated across sources. They show clearly formation (and subsequent collapse) very high levels — excitement relative anxiety prior global crisis. Our metrics also have predictive power for other commonly used measures volatility appear influence economic variables....
ADVERTISEMENT RETURN TO ISSUEPREVArticleTranslation of satellite tobacco necrosis virus ribonucleic acid by an in vitro system from wheat germDavid W. Leung, Carl Gilbert, Robert E. Smith, Nancy L. Sasavage, and John M. Clark, Jr.Cite this: Biochemistry 1976, 15, 22, 4943–4950Publication Date (Print):November 2, 1976Publication History Published online1 May 2002Published inissue 2 November 1976https://doi.org/10.1021/bi00667a030RIGHTS & PERMISSIONSArticle Views21Altmetric-Citations34LEARN...
The 3'-terminal regions (20 to 32 residues) of the genome double-stranded RNA (dsRNA) segments cytoplasmic polyhedrosis virus were sequenced. dsRNAs, which labeled at their 3' termini by incubation with [5'-(32)P]pCp and T4 ligase, denatured resolved into plus minus strands agarose-urea gel electrophoresis. Ten single-stranded RNAs thus obtained from five dsRNA IV, V, VIII, IX, X sequenced postlabeling methods. Common sequences, -GUUAGCC -UUACU, found in strands, respectively, all segments....
This paper applies algorithmic analysis to large amounts of financial market text-based data assess how narratives and sentiment play a role in driving developments the system. We find that changes emotional content are highly correlated across sources. They show clearly formation (and subsequent collapse) very high levels — excitement relative anxiety prior global crisis. Our metrics also have predictive power for other commonly used measures volatility appear influence economic variables....