scholarly journals La influencia del desarrollo moral de los adolescentes en su comportamiento antisocial autorreportado: El caso de las adolescentes (The influence of moral reasoning of adolescents in their self-reported antisocial behaviour: The case of girls)

2020 ◽  
Vol 10 (2) ◽  
pp. 489-512
Author(s):  
María José Bernuz Beneitez ◽  
María A. González-Álvarez
Keyword(s):  
Public Health ◽  
Principal Component Analysis ◽  
Regression Analysis ◽  
Moral Development ◽  
Moral Reasoning ◽  
Antisocial Behavior ◽  
Principal Component ◽  
Antisocial Behaviour ◽  
Different Dimensions ◽  
The Relationship

El objetivo del presente artículo es analizar la relación entre el desarrollo moral de los adolescentes y sus comportamientos delictivos (auto-reportados) distinguiendo según si son conductas contra la propiedad, las personas, el orden, o la salud pública. Se utilizan datos de una encuesta realizada en 2012 en Aragón a 1.762 adolescentes entre 14 y 18 años. El estudio emplea el análisis de componentes principales para identificar la estructura interna de los datos de algunas de las distintas dimensiones del razonamiento moral de los adolescentes. El análisis de regresión múltiple muestra que una mayor penalización de conductas antisociales, tener a los adultos como figura de referencia y ser chica reducen la probabilidad de cometer un delito. Mientras que la (mayor) edad, la legitimación de la violencia y la sumisión y optar por mecanismos de prevención social incrementan significativamente el riesgo de delinquir. The aim of this paper is to analyze the relationship between moral development of adolescents and their antisocial behavior (self-reported) differentiating on the basis of the nature of the conduct, if it is against property, against people, against the order, or against public health. The data used comes from a survey conducted in 2012 in Aragon to 1,762 adolescents between 14 and 18 years of age. Principal component analysis is used to identify the internal structure of the data for the different dimensions of moral reasoning of adolescents (reasoning about the rightfulness of anti-social behaviors, tolerance towards violence, opinion about prevention mechanisms, and their figures of reference). The regression analysis shows that higher penalty of antisocial behavior, having adults as leading figures and being a girl reduce the probability of committing a crime. On the contrary, (higher) age, tolerance towards violence and submission, and a greater preference for social prevention mechanisms significantly increase the risk of being an offender.

Mathematical Models for Analysis of Water Pollution

2012 ◽  
Vol 209-211 ◽  
pp. 1941-1947
Author(s):  
Xuan Hua Qin ◽  
Li Li Zheng
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Principal Component Analysis ◽  
Regression Analysis ◽  
Mathematical Models ◽  
Pollution Index ◽  
Principal Component ◽  
Pollution Factor ◽  
Main Components ◽  
The Relationship

The water qualityr was considered by multiple regression analysis. The linear relationship between integrated pollution index and weight pollution index were obtained, the 5 day biochemical oxygen demanded and total nitrogen were the most important pollution factor by the relationship. And then, the two main components influencing water quality were given based on the principal component analysis affecting data..

scholarly journals Quantify Coal Macrolithotypes of a Whole Coal Seam: A Method Combing Multiple Geophysical Logging and Principal Component Analysis

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 213
Author(s):  
Chao Cui ◽  
Suoliang Chang ◽  
Yanbin Yao ◽  
Lutong Cao
Keyword(s):  
Principal Component Analysis ◽  
Coal Seam ◽  
Coalbed Methane ◽  
Principal Component ◽  
Component Analysis ◽  
Gas Production ◽  
Index Model ◽  
Geophysical Logging ◽  
The Relationship ◽  
Observation Results

Coal macrolithotypes control the reservoir heterogeneity, which plays a significant role in the exploration and development of coalbed methane. Traditional methods for coal macrolithotype evaluation often rely on core observation, but these techniques are non-economical and insufficient. The geophysical logging data are easily available for coalbed methane exploration; thus, it is necessary to find a relationship between core observation results and wireline logging data, and then to provide a new method to quantify coal macrolithotypes of a whole coal seam. In this study, we propose a L-Index model by combing the multiple geophysical logging data with principal component analysis, and we use the L-Index model to quantitatively evaluate the vertical and regional distributions of the macrolithotypes of No. 3 coal seam in Zhengzhuang field, southern Qinshui basin. Moreover, we also proposed a S-Index model to quantitatively evaluate the general brightness of a whole coal seam: the increase of the S-Index from 1 to 3.7, indicates decreasing brightness, i.e., from bright coal to dull coal. Finally, we discussed the relationship between S-Index and the hydro-fracturing effect. It was found that the coal seam with low S-Index values can easily form long extending fractures during hydraulic fracturing. Therefore, the lower S-Index values indicate much more favorable gas production potential in the Zhengzhuang field. This study provides a new methodology to evaluate coal macrolithotypes by using geophysical logging data.

scholarly journals Air Pollution and Human Development in Europe: A New Index Using Principal Component Analysis

2018 ◽  
Vol 10 (2) ◽  
pp. 312 ◽  
Author(s):  
Ana-Maria Săndică ◽  
Monica Dudian ◽  
Aurelia Ştefănescu
Keyword(s):  
Principal Component Analysis ◽  
Human Development ◽  
Quantitative Measure ◽  
Principal Component ◽  
Component Analysis ◽  
Life Expectancy At Birth ◽  
Real Gdp ◽  
Development Indicator ◽  
The Relationship ◽  
Pm2.5 Concentration

EU countries to measure human development incorporating the ambient PM2.5 concentration effect. Using a principal component analysis, we extract the information for 2010 and 2015 using the Real GDP/capita, the life expectancy at birth, tertiary educational attainment, ambient PM2.5 concentration, and the death rate due to exposure to ambient PM2.5 concentration for 29 European countries. This paper has two main results: it gives an overview about the relationship between human development and ambient PM2.5 concentration, and second, it provides a new quantitative measure, PHDI, which reshapes the concept of human development and the exposure to ambient PM2.5 concentration. Using rating classes, we defined thresholds for both HDI and PHDI values to group the countries in four categories. When comparing the migration matrix from 2010 to 2015 for HDI values, some countries improved the development indicator (Romania, Poland, Malta, Estonia, Cyprus), while no downgrades were observed. When comparing the transition matrix using the newly developed indicator, PHDI, the upgrades observed were for Denmark and Estonia, while some countries like Spain and Italy moved to a lower rating class due to ambient PM2.5 concentration.

scholarly journals Correlation of environmental factors and spatial distribution of moluscs communities in mangrove reboisation areas of Seribu Islands, Indonesia

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Syahrial Syahrial ◽  
Eryc Pranata ◽  
Hendri Susilo
Keyword(s):  
Principal Component Analysis ◽  
Spatial Distribution ◽  
Environmental Factors ◽  
Principal Component ◽  
Quality Standard ◽  
Small Plot ◽  
Line Transects ◽  
Relationship Of ◽  
The Relationship ◽  
Mangrove Reforestation

Mangrove reforestation is often carried out in various regions or regions, but information about the relationship of environmental factors and the distribution of fauna associations is still very minimal. The Principal Component Analysis (PCA) study on the correlation of environmental factors and the spatial distribution of the molusks community in the Seribu Islands mangrove reforestation area was conducted in March 2014 with the aim of analyzing environmental factors for the diversity and presence of the molusks. Environmental factors are measured insecurely, while the moluccan community is collected by making line transects and plots measuring 10 x 10 m2 and in the size of 10 x 10 m2, a small plot of 1 x 1 m2 is made. The results of the study show that environmental factors are not so different between stations and do not exceed the quality standard for the lives of 4 species of mollusks, where the parameters of aquatic pH are the environmental factors that most influence their distribution.Keywords: environmental factors, distribution, mollusks community, mangrove reforestation, Seribu Islands

scholarly journals Rootstock-scion interaction:5. Effect on the evolution of Cabernet Sauvignon grape ripening

2019 ◽  
Vol 41 (3) ◽  
Author(s):  
Alberto Miele ◽  
Luiz Antenor Rizzon
Keyword(s):  
Principal Component Analysis ◽  
Regression Analysis ◽  
Yield Components ◽  
Polynomial Regression ◽  
Principal Component ◽  
Titratable Acidity ◽  
Soluble Solids ◽  
Cabernet Sauvignon ◽  
Total Soluble Solids ◽  
Wine Composition

Abstract The rootstock effect on grapevine yield components, grape must and wine composition and wine sensory characteristics were evaluated in previous studies. This experiment carried out over five years had the objective to determine the effect of the rootstock on the evolution of variables related to sugar and acidity contents of the juice during grape ripening. The treatments consisted of Cabernet Sauvignon grapevine grafted on rootstocks such as Rupestris du Lot, 101- 14 Mgt, 3309 C, 420A Mgt, 5BB K, 161-49 C, SO4, Solferino, 1103 P, 99 R, 110 R, Gravesac, Fercal, Dogridge and Isabel. The berries were sampled during the grape ripening period, on nine dates during the summer of each year. Taken to the laboratory, they were hand crushed and the juice was centrifuged to separate the solid and liquid phase, where the supernatant was then used for physicochemical analyses. The data were submitted to Principal Component Analysis (PCA) and polynomial regression analysis. The main results show that, at grape maturity, the PCA discriminated mainly the juices of CS/101-14 Mgt, CS/SO4 and CS/Gravesac, which had high density, total soluble solids, total soluble solids/titratable acidity ratio and pH, and CS/Dogridge and CS/Fercal, which had high titratable acidity. The density, total soluble solids, titratable acidity, total soluble solids/titratable acidity ratio increased as grape ripened, but the titratable acidity decreased. However, the increase or decrease rates were lower at the end of the grape ripening cycle according to the variable, and the total soluble solids having the highest increase (116.3%) and the titratable acidity the highest decrease (68.3%).

The Application of Principal Component Analysis in Comprehensive Evaluation of Liaohe River Water Quality

2013 ◽  
Vol 779-780 ◽  
pp. 1596-1599 ◽  
Author(s):  
Lei Zhu ◽  
Ming Li
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Cross Section ◽  
Water Environment ◽  
Principal Component ◽  
Quality Monitoring ◽  
Water Quality Indicators ◽  
Liaohe River ◽  
Environment Quality ◽  
The Relationship

In order to explore the relationship between water quality indicators and the cross-section,this paper applied principal component analysis to evaluate comprehensively the water quality monitoring sections of the Liaohe River. The results showed that the water quality of the Liaohe River Tieling and Shenyang segments belonged to the inferior class V water. In this paper, water quality assessment and water environment quality grading used respectively two ways that were not and setting up a virtual cross-section to avoid the classification of water environment quality impacting on the relationship between water quality indicators and quality monitoring sections. Principal component score applied two and three-dimensional graphic display,made expression of the water pollution situation more intuitive.

Current Status of Disaster Preparedness of Pharmacies and Differences in Disaster Awareness Based on Pharmacy Size

2019 ◽  
Vol 13 (4) ◽  
pp. 753-757 ◽  
Author(s):  
Kayoko Ozeki ◽  
Toshiyuki Ojima
Keyword(s):  
Public Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Disaster Preparedness ◽  
Disaster Mitigation ◽  
Mitigation Measures ◽  
Current Status ◽  
Disaster Victims ◽  
Subgroup Analyses ◽  
The Relationship

ABSTRACTObjectiveThe prevention of deaths caused indirectly by disasters is important, especially for evacuees requiring medication. Pharmacies play a major role in providing medication to disaster victims. Therefore, this study evaluated the current status of disaster preparedness among pharmacies, the extent of disaster awareness and knowledge of disaster mitigation measures, and any associations of these with the characteristics of pharmacies.MethodsQuestionnaires about disaster preparedness were sent to 337 pharmacies in Japan, in a region at high risk of major earthquakes. Tabulation analyses were carried out to examine the characteristics of pharmacies and then a logistic regression analysis was performed to examine the relationship between disaster awareness and the level of preparedness of pharmacies. Furthermore, to examine in detail any differences associated with pharmacy size, subgroup analyses were performed.ResultsHigh disaster awareness was significantly correlated with adequate disaster preparedness. However, in the subgroup analyses, no significant differences were observed among large pharmacies. In contrast, disaster awareness was significantly related to the disaster preparedness of small pharmacies.ConclusionThe findings suggest that the disaster preparedness of pharmacies is related to the level of disaster awareness, highlighting the importance of disaster awareness activities in ordinary times before a disaster. (Disaster Med Public Health Preparedness. 2019;13:753–757)

scholarly journals Comparative analysis of shell occupation by two southern populations of the hermit crab Loxopagurus loxochelis (Decapoda, Diogenidae)

2012 ◽  
Vol 60 (3) ◽  
pp. 299-310 ◽  
Author(s):  
Luciane Ayres-Peres ◽  
Aline Ferreira Quadros ◽  
Fernando L. Mantelatto
Keyword(s):  
Principal Component Analysis ◽  
Comparative Analysis ◽  
Hermit Crab ◽  
Regression Tree ◽  
Principal Component ◽  
Hermit Crabs ◽  
Pca Analysis ◽  
Internal Volume ◽  
The Relationship ◽  
Two Populations

The present study aimed to comparatively verify the relation between the hermit crabs and the shells they use in two populations of Loxopagurus loxochelis. Samples were collected monthly from July 2002 to June 2003, at Caraguatatuba and Ubatuba Bay, São Paulo, Brazil. The animals sampled had their sex identified, were weighed and measured; their shells were identified, measured and weighed, and their internal volume determined. To relate the hermit crab's characteristics and the shells' variables, principal component analysis (PCA) and a regression tree were used. According to the PCA analysis, the three gastropod shells most frequently used by L. loxochelis varied in size. The regression tree successfully explained the relationship between the hermit crab's characteristics and the internal volume of the inhabited shell. It can be inferred that the relationship between the morphometry of an individual hermit crab and its shell is not straightforward and it is impossible to explain only on the basis of direct correlations between the body's and the shell's attributes. Several factors (such as the morphometry and the availability of the shell, environmental conditions and inter- and intraspecific competition) interact and seem to be taken into consideration by the hermit crabs when they choose a shell, resulting in the diversified pattern of shell occupancy shown here and elsewhere.

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