Active selection of afferent information as the basic principle of peripheral correction of the activity of spinal rhythmic movement generators

1985 ◽  
Vol 16 (3) ◽  
pp. 271-278 ◽  
Author(s):  
K. V. Baev
Keyword(s):  
Basic Principle ◽  
Rhythmic Movement ◽  
Active Selection ◽  
Afferent Information ◽  
Selection Of

Prescreening in large populations as a tool for identifying elevated CO2-responsive genotypes in plants

2019 ◽  
Vol 46 (1) ◽  
pp. 1 ◽  
Author(s):  
Hiroyuki Shimono ◽  
Graham Farquhar ◽  
Matthew Brookhouse ◽  
Florian A. Busch ◽  
Anthony O'Grady ◽  
...  
Keyword(s):  
Genetic Selection ◽  
Co2 Concentration ◽  
Elevated Atmospheric Co2 ◽  
High Performing ◽  
Active Selection ◽  
Wide Range ◽  
Large Populations ◽  
Increase Productivity ◽  
The Cost ◽  
Selection Of

Elevated atmospheric CO2 concentration (e[CO2]) can stimulate the photosynthesis and productivity of C3 species including food and forest crops. Intraspecific variation in responsiveness to e[CO2] can be exploited to increase productivity under e[CO2]. However, active selection of genotypes to increase productivity under e[CO2] is rarely performed across a wide range of germplasm, because of constraints of space and the cost of CO2 fumigation facilities. If we are to capitalise on recent advances in whole genome sequencing, approaches are required to help overcome these issues of space and cost. Here, we discuss the advantage of applying prescreening as a tool in large genome×e[CO2] experiments, where a surrogate for e[CO2] was used to select cultivars for more detailed analysis under e[CO2] conditions. We discuss why phenotypic prescreening in population-wide screening for e[CO2] responsiveness is necessary, what approaches could be used for prescreening for e[CO2] responsiveness, and how the data can be used to improve genetic selection of high-performing cultivars. We do this within the framework of understanding the strengths and limitations of genotype–phenotype mapping.

Active selection of clustering constraints: a sequential approach

2014 ◽  
Vol 47 (3) ◽  
pp. 1443-1458 ◽  
Author(s):  
Ahmad Ali Abin ◽  
Hamid Beigy
Keyword(s):  
Sequential Approach ◽  
Active Selection ◽  
Selection Of

Application of the Deviate Method of Minimum Subordinative Degree on the Selection of Outstanding Graduates

2014 ◽  
Vol 644-650 ◽  
pp. 6313-6316
Author(s):  
Jin Si ◽  
Hai Zhu Yu ◽  
Xiao Li Chai
Keyword(s):  
College Students ◽  
Basic Principle ◽  
Learning Activities ◽  
Decision Problems ◽  
Important Work ◽  
Universities And Colleges ◽  
Complex Decision ◽  
Selection Of

How to objective, fair, justice, open selection of outstanding graduates is an important work in universities and colleges each year. For college students, the selection of outstanding graduates is the comprehensive consideration of university study and life in the four years, which is critical to the development of future employment and career. First, this paper introduces the basic principle method of minimum subordinative degree, and then considers the effect of college students through a variety of learning activities comprehensively. Finally, application examples are given in the selection of outstanding graduates. The results show that, this method is a good effective tool to solve the fuzzy uncertainly factors for complex decision problems, which has good applicability.

The Application of Support Vector Machine in Transformer Fault Diagnosis

2014 ◽  
Vol 926-930 ◽  
pp. 3410-3413
Author(s):  
Xiang Lin Tan ◽  
Chang Shu ◽  
Yun Feng Peng
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Fault Diagnosis ◽  
Model Selection ◽  
Basic Principle ◽  
Support Vector ◽  
Training Methods ◽  
Structure Selection ◽  
Transformer Fault ◽  
Selection Of

The basic principle, training methods and model selection of support vector machine (SVM) are expounded in this paper, and then we introduce SVM in transformer fault diagnosis which can overcome the problems of the structure selection of neural network.

scholarly journals Selection of scenarios in qualitative models: The case of a government tenders model

2013 ◽  
Vol 61 (7) ◽  
pp. 2923-2929
Author(s):  
Štěpán Veselý ◽  
Mirko Dohnal
Keyword(s):  
Basic Principle ◽  
Model Development ◽  
Current Paper ◽  
Qualitative Model ◽  
Qualitative Modeling ◽  
Knowledge Item ◽  
Qualitative Models ◽  
Methodological Paper ◽  
Selection Of

The task of this methodological paper is to clarify the process of selection of scenarios in qualitative models. Articles on qualitative modeling usually do not cover the topic of scenarios selection exhaustively, only the basic operations are (sometimes) described. This lack of detail might lead to confusion and overly simplified understanding of the process of model development when new users meet with qualitative models. We outline the basic principle of consistency, i.e. that scenarios inconsistent with a given knowledge item entered into the qualitative model are discarded from the model. With help of this principle, the vast set of all “imaginable” scenarios (2712in our case) can be reduced to just 7 scenarios in less than 40 steps. A manageable number of scenarios is important to enable interpretation and practical use, e.g. to evaluate concrete tasks and policies. For our demonstration we use our previously published model of government tenders. The current paper can help those who want to understand qualitative models and their development better, it is not restricted to the problem of qualitative modeling of government tenders.

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