Correlation coefficient based featue selection for actuating myoelectric prosthetic arm

2017 ◽  
Author(s):  
C. N. Savithri ◽  
E. Priya
Keyword(s):  
Correlation Coefficient ◽  
Selection For

Relationships between body weight and some follicle and fleece characters in an Australian fine-wool Merino flock

1969 ◽  
Vol 20 (6) ◽  
pp. 1177 ◽  
Author(s):  
T Nay ◽  
RH Hayman
Keyword(s):  
Body Weight ◽  
Correlation Coefficient ◽  
Unit Area ◽  
Additive Effect ◽  
Phenotypic Correlations ◽  
Close Relationship ◽  
Simultaneous Selection ◽  
Selection For ◽  
Fleece Weight ◽  
Highly Correlated

Phenotypic correlations between body weight, follicle characters, and fleece characters have been investigated in a flock of 95 fine-wool non-Peppin Merino wethers, reared in the same locality under the same conditions. The results indicated that three follicle characters, follicle chord, follicle depth, and the index of follicle bending, were independent of body weight. It was found, in agreement with the results of other workers, that body weight was highly correlated with both greasy and clean wool weights (r = 0.53 and 0.51 respectively). It was also found that follicle characters were significantly correlated with most of the fleece characters which contribute to the clean fleece weight per unit area of skin. The correlation coefficient of wool weight per unit area of skin with follicle chord was 0.33, with follicle depth 0.28, and with follicle bending index –0.35. The follicle characters were also correlated with greasy and clean fleece weights. Crimp number per inch was predicted for individual animals by using as criterion the length of the follicle chord. A highly significant correlation coefficient of 0.67 was obtained between predicted and observed crimp number. The close relationship between crimp chord and follicle chord reported in previous work was confirmed. It is suggested that simultaneous selection for body weight and certain follicle characters may have an additive effect on the production of clean wool. It is also suggested that the genetic antagonism between clean wool weight and number of crimps per inch can be explained in anatomical terms.

scholarly journals (231) Correlation of Cluster Number and Tendril Density in Grapevines

HortScience ◽  
2005 ◽  
Vol 40 (4) ◽  
pp. 1008C-1008
Author(s):  
Peter Cousins
Keyword(s):  
Correlation Coefficient ◽  
The United States ◽  
Indirect Selection ◽  
Yield Component ◽  
Cluster Number ◽  
Density Correlation ◽  
Primary Yield ◽  
National Plant Germplasm System ◽  
The Mean ◽  
Selection For

The grapevine shoot has a zone in which leaf-opposed clusters are found at the nodes. Beyond the cluster zone, leaf-opposed tendrils are borne at the nodes in a patterned distribution. Cluster number is a primary yield component and selection programs for increasing yield in grapevine frequently consider cluster number. However, selection for increased cluster number requires direct observation, which is only possible once the vine matures. Clusters and tendrils are developmentally related, so it may be that tendril density (tendrils per node) reflects cluster number. In contrast to cluster number, tendril density can be observed on plants of all ages. The hypothesis that tendril density is related to cluster number was tested here. Cluster numbers and tendril density were assessed on 10 primary shoots each of 180 grapevine (Vitis) accessions. The accessions analyzed are cultivars and wild species collections held in the United States National Plant Germplasm System. The correlation coefficient of the number of clusters and tendril density was calculated using the means of 10 observations per accession. Tendril density was determined by calculating the mean number of tendrils per node in the nodes beyond the cluster zone. Cluster number and tendril density were positively correlated; the correlation coefficient was 0.35. This implies that vines with more tendrils per node also tend to have more clusters. The positive correlation of cluster number and tendril density has implications for grapevine improvement, pointing to the possibility of indirect selection for higher cluster number through selection for higher tendril density. Correlation between juvenile tendril density and mature cluster number is yet to be tested.

Feature and Subfeature Selection for Classification Using Correlation Coefficient and Fuzzy Model

2021 ◽  
pp. 1-15
Author(s):  
Hemanta Bhuyan ◽  
Dr. Chinmay Chakraborty ◽  
Subhendu Pani ◽  
Vinayakumar Ravi
Keyword(s):  
Correlation Coefficient ◽  
Fuzzy Model ◽  
Selection For

scholarly journals Increasing the efficiency of spring wheat selection for resistance to soil infection

2020 ◽  
pp. 46-55
Author(s):  
E. Yu. Toropova ◽  
I. G. Vorobieva ◽  
A. A. Kirichenko ◽  
V. V. Piskarev ◽  
R. I. Trunov
Keyword(s):  
Correlation Coefficient ◽  
Spring Wheat ◽  
Coefficient Of Variation ◽  
Root Rot ◽  
Rhizosphere Soil ◽  
Growing Season ◽  
Spatial Arrangement ◽  
Economic Threshold ◽  
Wheat Varieties ◽  
Selection For

The aim of the research was to substantiate the need to take into account the factors that have a significant impact on the root rot infestation of spring wheat in the process of practical selection for resistance. The studies were carried out in 2019–2020 with the application of generally accepted and author’s methods. A systemic restructuring of work is needed to increase the efficiency of practical breeding for resistance to root rot. The damaging factor is cereal flies which “open the gates” to all soil phytopathogens after the tillering phase. It should be eliminated, and the ability of varieties to induce the suppression of rhizosphere soil to main phytopathogens should be taken into account. According to the results of two years of research, the smallest, within two biological thresholds of harmfulness (PV), the infestation by root rot at the germination phase was shown by the spring wheat varieties Novosibirskaia 15 and Manu. The development of root rot in comparison with the germination phase in 2019 increased by an average of 2.5, and in 2020 - by 5.6 times. There was an equalization of differences in damage between varieties during the growing season. In the germination phase, the coefficient of variation in the development of root rot by varieties was 24.1 ± 4.0, in the phase of maturity, it decreased 2.5 times to 9.4 ± 1.5. The main reason for smoothing out the differences between varieties in terms of root rot infestation was strong (up to 100%) damage by intra-stem pests. The economic threshold of harmfulness for damage to spring wheat stems by cereal flies was exceeded in 2019 up to 4.8 times, and in 2020 up to 7.8 times. The correlation coefficient between the development of root rot and damage by intra-stem pests in 2019 was R = 0.744 ± 0.185 (P <0.01), in 2020 R = 0.713 ± 0.092 (P <0.01). Analysis of variance showed that the power of the influence of the spatial arrangement of plants on their damage by cereal flies was 30.9% and was reliable at the 1% level, while the influence of the variety itself on this indicator was almost 2 times lower (16.8%) and was significant at the 5% level. The induction of soil suppression to phytopathogens by the rhizosphere of spring wheat varieties influenced their representation in the pathogenic complex of root rot. The correlation coefficient of induction by cultivars of suppressiveness to F. poae and its representation in pathogenic complexes was R = - 0.638 ± 0.318 and was significant at the 5% level. The correlation coefficient of induction of suppressiveness to F. oxysporum and its presence in pathogenic complexes of root rot of varieties was R = - 0.844 ± 0.203 (P <0.01).

scholarly journals Detection of True Mangroves in Indonesia Using Satellite Remote Sensing

2019 ◽  
pp. 157-167
Author(s):  
Atriyon Julzarika ◽  
Nanin Anggraini ◽  
Syifa Wismayati Adawiah
Keyword(s):  
Remote Sensing ◽  
Correlation Coefficient ◽  
Satellite Imagery ◽  
Satellite Remote Sensing ◽  
Unsupervised Classification ◽  
Statistical Technique ◽  
Image Display ◽  
Landsat 8 ◽  
Band Combination ◽  
Selection For

Mangrove existence is necessary to protect coastal. One method that can be used to keep mangrove existence were using satellite imagery monitoring. The number of bands in the imagery led to the selection for the RGB composite bands was difficult because a lot of combinations to try. One technique that can be done to get the best RGB combination of an object is to use Optimum Index Factor (OIF). OIF is a statistical technique for selecting three combinations of imagery bands to visualize the image display to the fullest. It is based on the value of total variance and the correlation coefficient between the bands. Landsat 8 has 7 bands with 30 m resolution, one panchromatic band with  15 m resolution, and two bands with 100 m resolution. The purpose of this study was to detect true mangrove using three bands from  OIF value of  Landsat 8. The results of the processing from 6 bands (2-7), obtained 20 bands combinations  with the highest value of OIF is 0,168, ie, bands 2-56 (Blue, NIR, SWIR-1). Based on the combination, the next step was unsupervised classification process for true mangrove identification (Rizhopora, Brugueira, Avicennia, Soneratia). The best classification using band combination 2-7 with true mangrove reached 4.041 ha.

Framework for Selecting Vocabulary for Preliterate Children Who Use Augmentative and Alternative Communication

2019 ◽  
Vol 28 (3) ◽  
pp. 1000-1009
Author(s):  
Allison Bean ◽  
Lindsey Paden Cargill ◽  
Samantha Lyle
Keyword(s):  
Language Impairment ◽  
Augmentative And Alternative Communication ◽  
Developmentally Appropriate ◽  
School Age Children ◽  
Alternative Communication ◽  
School Based ◽  
Selection For ◽  
Nonverbal Children ◽  
Grammatical Structures ◽  
Insufficient Knowledge

Purpose Nearly 50% of school-based speech-language pathologists (SLPs) provide services to school-age children who use augmentative and alternative communication (AAC). However, many SLPs report having insufficient knowledge in the area of AAC implementation. The objective of this tutorial is to provide clinicians with a framework for supporting 1 area of AAC implementation: vocabulary selection for preliterate children who use AAC. Method This tutorial focuses on 4 variables that clinicians should consider when selecting vocabulary: (a) contexts/environments where the vocabulary can be used, (b) time span during which the vocabulary will be relevant, (c) whether the vocabulary can elicit and maintain interactions with other people, and (d) whether the vocabulary will facilitate developmentally appropriate grammatical structures. This tutorial focuses on the role that these variables play in language development in verbal children with typical development, verbal children with language impairment, and nonverbal children who use AAC. Results Use of the 4 variables highlighted above may help practicing SLPs select vocabulary that will best facilitate language acquisition in preliterate children who use AAC.

Teaching Partners to Support Communication for Adults with Acquired Communication Impairment

2013 ◽  
Vol 22 (1) ◽  
pp. 4-15 ◽  
Author(s):  
Laura J. Ball ◽  
Joanne Lasker
Keyword(s):  
Practice Patterns ◽  
Communicative Competence ◽  
Communication Disorders ◽  
Communication Impairment ◽  
Communication Partner ◽  
Communication Partners ◽  
Selection For ◽  
Communication Needs ◽  
End Of Life Communication ◽  
Lateral Sclerosis

Abstract For adults with acquired communication impairment, particularly those who have communication disorders associated with stroke or neurodegenerative disease, communication partners play an important role in establishing and maintaining communicative competence. In this paper, we assemble some evidence on this topic and integrate it with current preferred practice patterns (American Speech-Language-Hearing Association, 2004). Our goals are to help speech-language pathologists (SLPs) identify and describe partner-based communication strategies for adults with acquired impairment, implement evidence-based approaches for teaching strategies to communication partners, and employ a Personnel Framework (Binger et al., 2012) to clarify partners? roles in acquiring and supporting communication tools for individuals with acquired impairments. We offer specific guidance about AAC techniques and message selection for communication partners involved with chronic, degenerative, and end of life communication. We discuss research and provide examples of communication partner supports for person(s) with aphasia and person(s) with amyotrophic lateral sclerosis who have complex communication needs.

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