scholarly journals The Interaction of the Parent with the Young Child: Structure and Dynamics of Parental Responsiveness

2020 ◽  
Vol 16 (4) ◽  
pp. 72-86
Author(s):  
I.N. Galasyuk ◽  
O.V. Mitina
Keyword(s):  
Parental Behavior ◽  
Principal Component ◽  
Orthogonal Rotation ◽  
Method Evaluation ◽  
Theoretical Justification ◽  
Parental Responsiveness ◽  
Structure And Dynamics ◽  
Child Interaction ◽  
Principal Component Analyses ◽  
The Relationship

The article presents a theoretical justification of the concept of Parental Responsiveness (PR) based on the cultural and historical concept, the activity paradigm and the results of an empirical study, the purpose of which is to operationalize the psychological construct of parental responsiveness and build an explanatory model of the dynamic functioning of parental responsiveness. The study involved 55 mothers with children between the ages of 2.4 and 3.3 years, developing within the norm. The method "Evaluation of child-parent interaction (ECPI)", which provides video surveillance, was used. The data was processed using the Observer XT-14 computer program. The Principal component analyses the method with orthogonal rotation Varimax was used to identify generalizing categories that characterize PR and allows describing their variations. As a result, there were 4 categories (scales) that determine the manifestation of responsiveness by the parent: Dominance, Apathy, Sensitivity, and Support. Their stability was shown in the process of parent-child interaction. A profile of parental responsiveness is constructed for each parent, which determines the extend of each scale when interacting with the child. The developed dynamic multidimensional autoregressive model of Parental Responsiveness allows us to evaluate the dynamics of parental behavior and determine the nature of the relationship between scales during the session.

scholarly journals Anxiety in Mice: A Principal Component Analysis Study

2007 ◽  
Vol 2007 ◽  
pp. 1-8 ◽  
Author(s):  
Yan Clément ◽  
Chantal Joubert ◽  
Caroline Kopp ◽  
Eve M. Lepicard ◽  
Patrice Venault ◽  
...  
Keyword(s):  
Genetic Background ◽  
Elevated Plus Maze ◽  
Principal Component ◽  
Behavior Patterns ◽  
General Activity ◽  
Experimental Procedure ◽  
Analysis Study ◽  
Plus Maze ◽  
Principal Component Analyses ◽  
The Relationship

Two principal component analyses of anxiety were undertaken investigating two strains of mice (ABP/Le and C57BL/6ByJ) in two different experiments, both classical tests for assessing anxiety in rodents. The elevated plus-maze and staircase were used for the first experiment, and a free exploratory paradigm and light-dark discrimination were used for the second. The components in the analyses produced definitions of four fundamental behavior patterns: novelty-induced anxiety, general activity, exploratory behavior, and decision making. We also noted that the anxious phenotype was determined by both strain and experimental procedure. The relationship between behavior patterns and the use of specific tests plus links with the genetic background are discussed.

scholarly journals Evaluation of Cotton Fibre Properties in Compact Yarn Spinning Processes and Investigation of Fibre and Yarn Properties

2018 ◽  
Vol 26 (3(129)) ◽  
pp. 23-34 ◽  
Author(s):  
Gizem Karakan Günaydin ◽  
Ali Serkan Soydan ◽  
Sema Palamutçu
Keyword(s):  
Correlation Matrix ◽  
Textile Industry ◽  
Fibre Length ◽  
Principal Component ◽  
Influential Factors ◽  
Raw Material ◽  
Fibre Properties ◽  
Yarn Properties ◽  
Principal Component Analyses ◽  
The Relationship

Fibre properties are influential factors for yarn properties. Cotton, whose physical properties vary depending on the cultivation region, is still a very common fibre used in the textile industry. Properties such as fibre length, fineness, strength and maturity affect yarn tensility, evenness, imperfections and hairiness. Four different 100% cotton blends were used as raw material (American cotton, Aegean cotton, Urfa cotton, Greek cotton) to be converted into 20 tex compact yarns separately. HVI parameters of each blend type starting from the bale until the 2nd drawing passage machine revealed that yarn processing stages and machinery are influential factors for fibre the properties of fibres that are produced on a spinning line. Additionally ANOVA tests supported the idea that the evenness, tensility, yarn imperfections, and hairiness parameter of yarns produced from various cotton blends were statistically different. Principal Component Analyses (PCA) and the Correlation Matrix were also applied in order to analyse the relationship between fibre properties and compact yarn properties of different blends.

What Does Human Development Index Rating Mean in Terms of Individualism/Collectivism?

2003 ◽  
Vol 8 (2) ◽  
pp. 97-100 ◽  
Author(s):  
Maria José Sotelo ◽  
Luis Gimeno
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Principal Component ◽  
General Idea ◽  
Development Index ◽  
Low Levels ◽  
The Relationship

The authors explore an alternative way of analyzing the relationship between human development and individualism. The method is based on the first principal component of Hofstede's individualism index in the Human Development Index rating domain. Results suggest that the general idea that greater wealth brings more individualism is only true for countries with high levels of development, while for middle or low levels of development the inverse is true.

HUBUNGAN KEPADATAN BIVALVIA DENGAN PARAMETER LINGKUNGAN DI PESISIR TANJUNG PURA KABUPATEN BANGKA TENGAH

2020 ◽  
Vol 13 (2) ◽  
pp. 112-121
Author(s):  
Sudiyar . ◽  
Okto Supratman ◽  
Indra Ambalika Syari
Keyword(s):  
Negative Impact ◽  
Principal Component ◽  
Environmental Parameters ◽  
Data Retrieval ◽  
Distribution Patterns ◽  
Random System ◽  
System Method ◽  
Relationship Of ◽  
The Relationship ◽  
Anadara Granosa

The destructive fishing feared will give a negative impact on the survival of this organism. This study aims to analyze the density of bivalves, distribution patterns, and to analyze the relationship of bivalves with environmental parameters in Tanjung Pura village. This research was conducted in March 2019. The systematic random system method was used for collecting data of bivalves. The collecting Data retrieval divided into five research stasions. The results obtained 6 types of bivalves from 3 families and the total is 115 individuals. The highest bivalve density is 4.56 ind / m², and the lowest bivalves are located at station 2,1.56 ind / m²,  The pattern of bivalve distribution in the Coastal of Tanjung Pura Village is grouping. The results of principal component analysis (PCA) showed that Anadara granosa species was positively correlated with TSS r = 0.890, Dosinia contusa, Anomalocardia squamosa, Mererix meretrix, Placamen isabellina, and Tellinella spengleri were positively correlated with currents r = 0.933.

scholarly journals Nonverbal Semantics Test (NVST)—A Novel Diagnostic Tool to Assess Semantic Processing Deficits: Application to Persons with Aphasia after Cerebrovascular Accident

2021 ◽  
Vol 11 (3) ◽  
pp. 359
Author(s):  
Katharina Hogrefe ◽  
Georg Goldenberg ◽  
Ralf Glindemann ◽  
Madleen Klonowski ◽  
Wolfram Ziegler
Keyword(s):  
Language Processing ◽  
Cerebrovascular Accident ◽  
Semantic Processing ◽  
Factor Model ◽  
Principal Component ◽  
Original Data ◽  
Verbal Abilities ◽  
Verbal Tasks ◽  
Alternative Means ◽  
The Relationship

Assessment of semantic processing capacities often relies on verbal tasks which are, however, sensitive to impairments at several language processing levels. Especially for persons with aphasia there is a strong need for a tool that measures semantic processing skills independent of verbal abilities. Furthermore, in order to assess a patient’s potential for using alternative means of communication in cases of severe aphasia, semantic processing should be assessed in different nonverbal conditions. The Nonverbal Semantics Test (NVST) is a tool that captures semantic processing capacities through three tasks—Semantic Sorting, Drawing, and Pantomime. The main aim of the current study was to investigate the relationship between the NVST and measures of standard neurolinguistic assessment. Fifty-one persons with aphasia caused by left hemisphere brain damage were administered the NVST as well as the Aachen Aphasia Test (AAT). A principal component analysis (PCA) was conducted across all AAT and NVST subtests. The analysis resulted in a two-factor model that captured 69% of the variance of the original data, with all linguistic tasks loading high on one factor and the NVST subtests loading high on the other. These findings suggest that nonverbal tasks assessing semantic processing capacities should be administered alongside standard neurolinguistic aphasia tests.

scholarly journals Fast diffusion kurtosis mapping of human brain at 7 Tesla with hybrid principal component analyses

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Fangrong Zong ◽  
Jiaxin Du ◽  
Xiaofeng Deng ◽  
Xubin Chai ◽  
Yan Zhuo ◽  
...  
Keyword(s):  
Human Brain ◽  
Principal Component ◽  
7 Tesla ◽  
Fast Diffusion ◽  
Principal Component Analyses ◽  
Diffusion Kurtosis

scholarly journals Modeling the Radial Stem Growth of the Pine (Pinus sylvestris L.) Forests Using the Satellite-Derived NDVI and LST (MODIS/AQUA) Data

Atmosphere ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 12
Author(s):  
Yulia Ivanova ◽  
Anton Kovalev ◽  
Vlad Soukhovolsky
Keyword(s):  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Principal Component ◽  
Stem Growth ◽  
Forest Growth ◽  
Parabolic Approximation ◽  
New Approach ◽  
The Relationship ◽  
Tree Increment

The paper considers a new approach to modeling the relationship between the increase in woody phytomass in the pine forest and satellite-derived Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) (MODIS/AQUA) data. The developed model combines the phenological and forest growth processes. For the analysis, NDVI and LST (MODIS) satellite data were used together with the measurements of tree-ring widths (TRW). NDVI data contain features of each growing season. The models include parameters of parabolic approximation of NDVI and LST time series transformed using principal component analysis. The study shows that the current rate of TRW is determined by the total values of principal components of the satellite indices over the season and the rate of tree increment in the preceding year.

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