A model for classification structures with evolution control

1996 ◽  
pp. 456-471 ◽  
Author(s):  
M. C. Norrie ◽  
A. Steiner ◽  
A. Würgler ◽  
M. Wunderli
Keyword(s):  
Evolution Control

scholarly journals Receptor uptake arrays for vitamin B12, siderophores and glycans shape bacterial communities

2017 ◽  
Author(s):  
Steven A. Frank
Keyword(s):  
Artificial Intelligence ◽  
Control Theory ◽  
Receptor Expression ◽  
Food Sources ◽  
Vitamin B ◽  
Cellular Evolution ◽  
Molecular Variants ◽  
Gut Microbe ◽  
Complex Glycans ◽  
Evolution Control

Molecular variants of vitamin B12, siderophores and glycans occur. To take up variant forms, bacteria may express an array of receptors. The gut microbeBacteroides thetaiotaomicronhas three different receptors to take up variants of vitamin B12and 88 receptors to take up various glycans. The design of receptor arrays reflects key processes that shape cellular evolution. Competition may focus each species on a subset of the available nutrient diversity. Some gut bacteria can take up only a narrow range of carbohydrates, whereas species such asB. thetaiotaomicroncan digest many different complex glycans. Comparison of different nutrients, habitats, and genomes provide opportunity to test hypotheses about the breadth of receptor arrays. Another important process concerns fluctuations in nutrient availability. Such fluctuations enhance the value of cellular sensors, which gain information about environmental availability and adjust receptor deployment. Bacteria often adjust receptor expression in response to fluctuations of particular carbohydrate food sources. Some species may adjust expression of uptake receptors for specific siderophores. How do cells use sensor information to control the response to fluctuations? That question about regulatory wiring relates to problems that arise in control theory and artificial intelligence. Control theory clarifies how to analyze environmental fluctuations in relation to the design of sensors and response systems. Recent advances in deep learning studies of artificial intelligence focus on the architecture of regulatory wiring and the ways in which complex control networks represent and classify environmental states. I emphasize the similar design problems that arise in cellular evolution, control theory, and artificial intelligence. I connect those broad conceptual aspects to many testable hypotheses for bacterial uptake of vitamin B12, siderophores and glycans.

Using Design of Experiments to Analyze Open Source Software Metrics for Change Impact Estimation

2019 ◽  
Vol 10 (1) ◽  
pp. 16-33
Author(s):  
Miloud Dahane ◽  
Mustapha Kamel Abdi ◽  
Mourad Bouneffa ◽  
Adeel Ahmad ◽  
Henri Basson
Keyword(s):  
Statistical Analysis ◽  
Design Of Experiments ◽  
Open Source Software ◽  
Software Maintenance ◽  
Software Metrics ◽  
Software Evolution ◽  
Measurement Tool ◽  
Software Artifacts ◽  
Change Impact ◽  
Evolution Control

Software evolution control mostly relies on the better structure of the inherent software artifacts and the evaluation of different qualitative factors like maintainability. The attributes of changeability are commonly used to measure the capability of the software to change with minimal side effects. This article describes the use of the design of experiments method to evaluate the influence of variations of software metrics on the change impact in developed software. The coupling metrics are considered to analyze their degree of contribution to cause a change impact. The data from participant software metrics are expressed in the form of mathematical models. These models are then validated on different versions of software to estimate the correlation of coupling metrics with the change impact. The proposed approach is evaluated with the help of a set of experiences which are conducted using statistical analysis tools. It may serve as a measurement tool to qualify the significant indicators that can be included in a Software Maintenance dashboard.

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