scholarly journals Modelling air temperature for the state of São Paulo, Brazil

2007 ◽  
Vol 64 (5) ◽  
pp. 460-467 ◽  
Author(s):  
Luis Rodríguez-Lado ◽  
Gerd Sparovek ◽  
Pablo Vidal-Torrado ◽  
Durval Dourado-Neto ◽  
Felipe Macías-Vázquez
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Air Temperature ◽  
Sao Paulo ◽  
The State ◽  
Climatic Data ◽  
Regression Equations ◽  
São Paulo ◽  
Mean Values

Spatial modelling of air temperature (maximum, mean and minimum) of the State of São Paulo (Brazil) was calculated by multiple regression analysis and ordinary kriging. Climatic data (mean values of five or more years) were obtained from 256 meteorological stations distributed uniformly over the State. The correlation between the climatic dependent variables, with latitude and altitude as independent variables was significant and could explain most of the spatial variability. The coefficients of determination (P < 0.05) varied in the range of 0.924 and 0.953, showing that multiple regression analysis is an accurate method for the modelling of air temperature for the State of São Paulo. Finally, these regression equations were used together with the kriged maps of the residual errors to build 15 digital maps of air temperature using a 0.5 km² Digital Elevation Model in a Geographic Information System.

scholarly journals Adoption of MELD score increases the number of liver transplant

2014 ◽  
Vol 27 (3) ◽  
pp. 201-203 ◽  
Author(s):  
Lucas Souto NACIF ◽  
Wellington ANDRAUS ◽  
Rodrigo Bronze MARTINO ◽  
Vinicius Rocha SANTOS ◽  
Rafael Soares PINHEIRO ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Survival Rates ◽  
Sao Paulo ◽  
Meld Score ◽  
The State ◽  
São Paulo ◽  
Liver Transplants ◽  
Mean Values ◽  
Before And After ◽  
End Stage

BACKGROUND: Liver transplantation is performed at large transplant centers worldwide as a therapeutic intervention for patients with end-stage liver diseases. AIM: To analyze the outcomes and incidence of liver transplantation performed at the University of São Paulo and to compare those with the State of São Paulo before and after adoption of the Model for End-Stage Liver Disease (MELD) score. METHOD: Evaluation of the number of liver transplantations before and after adoption of the MELD score. Mean values and standard deviations were used to analyze normally distributed variables. The incidence results were compared with those of the State of São Paulo. RESULTS: There was a high prevalence of male patients, with a predominance of middle-aged. The main indication for liver transplantation was hepatitis C cirrhosis. The mean and median survival rates and overall survival over ten and five years were similar between the groups (p>0.05). The MELD score increased over the course of the study period for patients who underwent liver transplantation (p>0.05). There were an increased number of liver transplants after adoption of the MELD score at this institution and in the State of São Paulo (p<0.001). CONCLUSION: The adoption of the MELD score led to increase the number of liver transplants performed in São Paulo.

scholarly journals Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

2009 ◽  
Vol 79 (6) ◽  
pp. 1162-1168 ◽  
Author(s):  
Marian Almyra Sevilla-Naranjilla ◽  
Ingrid Rudzki-Janson
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Correlated Variables ◽  
The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

scholarly journals PENGARUH PAJAK, SUBSIDI DAN ZIS TERHADAP PENURUNAN KEMISKINAN DI INDONESIA

Media Ekonomi ◽  
2013 ◽  
Vol 22 (2) ◽  
pp. 123
Author(s):  
Hikmathiar Ramadhan ◽  
Tatik Mariyanti
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Regression Method ◽  
The State ◽  
Independent Variables ◽  
Multiple Regression Method ◽  
The Relationship

<p>This paper discusses the analysis of the effect of taxes and subsidies and ZIS (Zsakat, Infaq and Sedekah) to the reduction of poverty in Indonesia in the period 1994 to 2013. The variables used in include taxes, subsidies, ZIS and poverty of the State of Indonesia. The method used in this thesis is a multiple regression method along with the classical assumptions. This study aims to determine the relationship between variables taxes, subsidies and ZIS against poverty. In addition, this study also aims to look at the variables which play a role in reducing poverty. The results using multiple regression analysis, it appears that all the independent variables are not significant and have adjusted R-square is nice. Next to the classical assumption test, based on the results of research there is a violation of classical assumptions in this research is the Normality.</p>

scholarly journals Zoneamento de Parâmetros Climáticos no Estado de São Paulo (Brasil) Utilizando Técnicas de Geoestatística (Zoning of Climatic Parameters in the State of São Paulo (Brazil) Using Geostatistics Techniques)

2012 ◽  
Vol 5 (3) ◽  
pp. 612 ◽  
Author(s):  
Glécio Machado Siqueira ◽  
Joel Medeiros Bezerra ◽  
Sidney Rosa Vieira ◽  
Marcelo Bento Paes de Camargo
Keyword(s):  
Spatial Distribution ◽  
Air Temperature ◽  
Sao Paulo ◽  
The State ◽  
Classification Systems ◽  
São Paulo ◽  
Linear Regression Models ◽  
Climatic Parameters ◽  
Management Planning ◽  
Using Data

A precipitação pluvial (mm) e a temperatura do ar (ºC) são os principais parâmetros do clima utilizados nos sistemas de classificação do clima. A má distribuição e o reduzido número de pontos de medida dos atributos do clima acarretam dificuldades para se determinar a temperatura do ar. O objetivo deste trabalho foi analisar o zoneamento climático, com as variáveis precipitação pluvial e temperatura do ar, no Estado de São Paulo, com o auxílio de ferramentas de geoestatistica e geotecnologias. O estudo foi desenvolvido utilizando dados de precipitação pluvial média anual e temperatura do ar média mensal de 416 estações climáticas do estado São Paulo, referente ao período de 30 anos de dados, 1977 a 2006. Sendo estimada a variável temperatura do ar em função da altitude e a latitude do estado, por meio de modelo de regressão linear múltipla. Foram realizadas analises estatística e geoestatísticas, seguido da interpolação por krigagem para confecção dos mapas temáticos. A maior diferença nos valores de temperatura do ar medida e estimada foram localizados na faixa litorânea, enquanto as diferenças minimas estão situadas nas regiões serranas de maior altitude. O semivariograma escalonado para todos os parâmetros climáticos descreve que a altitude e a temperatura do ar estimada apresentam distribuição espacial dos pares de semivariância similar devido a sua forte correlação. A integração de ferramentas de geoprocessamento com modelos e ajustes da geoestatística permite uma abordagem sistematizada, possibilitando a espacialização dos dados meteorológicos.Palavras - chave: Gerenciamento, planejamento climático, variabilidade espacial Zoning of Climatic Parameters in the State of São Paulo (Brazil) Using Geostatistics Techniques ABSTRACTThe rainfall (mm) and air temperature (ºC) are the main parameters used climate classification systems in the climate. Poor distribution and small number of points of the weather attributes, cause difficulties in determining the air temperature. The objective of this study was to analyze climatic zoning, with the variables rainfall and air temperature in the State of São Paulo, with the aid of geostatistical tools and geotechnology. The study was conducted using data from annual precipitation and air temperature monthly average of 416 weather stations in Sao Paulo State (Brazil), for the period from 30 years of data from 1977 to 2006. The variable being estimated air temperature with altitude and latitude of the State, by means of multiple linear regression models. Were carried out statistical and geostatistical analysis followed by kriging for the construction of thematic maps. The biggest difference in the values of air temperature measured and estimated were located in the coastal strip, while the minimal differences are located in highland areas of higher altitude. The scaled semivariogram for all climatic parameters describing the altitude and air temperature have estimated the spatial distribution of pairs of similar semivariance due to its strong correlation. The integration of geoprocessing tools and settings with models of geostatistics allows a systematic approach, allowing the spatial distribution of meteorological data.Keywords: Management, planning climate, spatial variability

scholarly journals PENGARUH GAYA KEPEMIMPINAN, BUDAYA ORGANISASI, KOMPETENSI DAN RELIGIUSITAS TERHADAP KECURANGAN (FRAUD) APARATUR SIPIL NEGARA

2021 ◽  
Vol 2 (2) ◽  
pp. 166-183
Author(s):  
M. Haykal Daditullah Indrapraja ◽  
Restu Agusti ◽  
Nanda Fito Mela
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Human Factors ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Leadership Style ◽  
The State ◽  
Provincial Government ◽  
Organizational Characteristics ◽  
The Government

Fraud is a case that often occurs in various organizations. The goal of this research was to look into and assess organizational characteristics such as leadership style and organizational culture, as well as human factors such as organizational dedication and religiosity, in order to protect the State Civil Apparatus against fraud (ASN).The population in this study is the State Civil Apparatus (ASN) of the Riau Province Government as many as 15,455. Purposive sampling was utilized, with the requirements for ASN being in a post and working for more than two years. Questionnaires were collected by sending questionnaires directly and some were sending questionnaires in the form of a google form. A total of 104 civil servants participated in this study and 100 questionnaires were processed. The results of multiple regression analysis with the help of SPSS 27 show that organizational culture and competence have an effect on ASN fraud in the Riau Provincial Government. However, leadership style and religiosity have no effect on cheating. The results of this study have a contribution to the government in reducing the occurrence of fraud.

scholarly journals PENGARUH PENGHINDARAN PAJAK DAN RISIKO PAJAK TERHADAP NILAI PERUSAHAAN DENGAN KOMISARIS INDEPENDEN SEBAGAI PEMODERASI

2021 ◽  
Vol 4 (2) ◽  
pp. 67-76
Author(s):  
Zef Arfiansyah
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Firm Value ◽  
Tax Avoidance ◽  
The State ◽  
Company Value ◽  
Positive Effect

This study aims to examine whether tax avoidance and tax risk affect the value of the company and examine whether the existence of an independent commissioner moderates the effect of tax avoidance and tax risk on company value. Multiple regression analysis of 180 companies a year was conducted. The results of this study indicate that tax avoidance has a positive effect on firm value, while tax risk has no effect. In addition, this study also concludes that independent commissioners are seen by investors as a party that inhibits tax avoidance by management so as not to maximize the shift in prosperity from the state to investors. This research has implications (1) for companies, the practice of avoidance of tax avoidance that will not aggressively increase the value of the company, (2) for taxation institutions it provides an overview of tax risks in Indonesia in the context of drafting legislation. Penelitian ini bertujuan untuk menguji apakah penghindaran pajak dan risiko pajak berpengaruh terhadap nilai perusahaan dan menguji apakah keberadaan komisaris independen memoderasi pengaruh penghindaran pajak dan risiko pajak terhadap nilai perusahaan. Analisis regresi berganda terhadap 180 perusahaan tahun dilakukan. Hasil penelitian ini menunjukkan bahwa penghindaran pajak berpengaruh positif terhadap nilai perusahaan, sedangkan risiko pajak tidak berpengaruh. Hal ini menunjukkan bahwa pemegang saham menilai positif penghindaran pajak yang dilakukan manajemen, mereka memandang bahwa penghindaran pajak tersebut dapat meningkatkan kesejahteraan pemegang saham. Di sisi lain, risiko pajak tidak berpengaruh terhadap nilai perusahaan. Selain itu, penelitian ini juga menyimpulkan bahwa komisaris independen dipandang investor sebagai pihak yang menghambat penghindaran pajak oleh manajemen sehingga tidak memaksimalkan pergeseran kemakmuran dari negara ke investor. Penelitian ini memberikan implikasi (1) bagi perusahaan, praktik penghindaran penghindaran pajak yang tidak agresif akan meningkatkan nilai perusahaan, (2) bagi institusi perpajakan hal ini memberikan gambaran risiko pajak di Indonesia dalam rangka penyusunan peraturan perundangan.

scholarly journals Climatic risk of grape downy mildew (Plasmopara viticola) for the State of São Paulo, Brazil

2008 ◽  
Vol 65 (spe) ◽  
pp. 60-64 ◽  
Author(s):  
Emília Hamada ◽  
Raquel Ghini ◽  
Paulo Rossi ◽  
Mário José Pedro Júnior ◽  
Jeferson Lobato Fernandes
Keyword(s):  
Relative Humidity ◽  
Downy Mildew ◽  
Plasmopara Viticola ◽  
Sao Paulo ◽  
The State ◽  
Geographical Information ◽  
Weather Data ◽  
Climatic Data ◽  
São Paulo ◽  
Grape Downy Mildew

Viticulture in Brazil has been growing in importance in recent years. In the State of São Paulo, a significant percentage of the production is basically destined to in natura consumption and, more recently, much effort has been made by institutions to revitalize the viticulture in the State. Among fungal diseases, the downy mildew (Plasmopara viticola) is one of the main diseases affecting this crop in Brazil, with extreme damage effects on its production. The objective of this study was to estimate the incidence of the downy mildew on grape under the climatic conditions of the State of São Paulo, based on a mathematical model and using Geographical Information System - GIS tools. The study considered the months from September to April, a period in which the downy mildew can affect grapevines under development. Mean temperature and relative humidity were the basic weather data entered in the GIS database. Leaf wetness duration was estimated from relative humidity measurements. Climatic data entered in the GIS were used to calculate and produce maps depicting the severity of the grape downy mildew, through the application of a disease model. Three cities were evaluated (Jales, Jundiaí, and São Miguel Arcanjo), since they represent the main vineyard centers in the State. The adopted methodology permitted quantifying the severity of the grape downy mildew not only in spatial terms, identifying the variability among the different regions of the State, but also in temporal terms, along the months, making an adequate distinction of the studied cities.

scholarly journals On the solar cycle dependence of winds and planetary waves as seen from mid-latitude D1 LF mesopause region wind measurements

1998 ◽  
Vol 16 (12) ◽  
pp. 1534-1543 ◽  
Author(s):  
C. Jacobi
Keyword(s):  
Regression Analysis ◽  
Solar Activity ◽  
Solar Cycle ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Middle Atmosphere ◽  
Horizontal Wind ◽  
Prevailing Wind ◽  
Mean Values ◽  
Wind Measurements

Abstract. At the Collm Observatory of the University of Leipzig LF D1 low-frequency total reflection night-time wind measurements have been carried out continuously for more than two decades. Using a multiple regression analysis to derive prevailing winds, tides and the quasi-2-day wave from the half-hourly mean values of the horizontal wind components, monthly mean values of mesopause wind parameters are obtained that can be analysed with respect to long-term trends and influences of solar variability. The response of the prevailing wind to the 11-year solar cycle differs throughout the year. While in winter no significant correlation between the zonal prevailing wind and solar activity is found, in spring and summer a negative correlation between the TWC can be seen from the measurements. This is connected with stronger vertical gradients of the zonal prevailing wind during solar maximum than during solar minimum. Since the amplitude of the quasi-2-day wave is dependent on the zonal mean wind vertical gradient, this is connected with a positive correlation between solar activity and quasi-two-day wave activity.Key words. Meteorology and atmospheric dynamics · Middle atmosphere dynamics Multiple regression analysis Quasi-2-day wave

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