scholarly journals Stemflow and throughfall on several tree architectural models

2021 ◽  
Vol 918 (1) ◽  
pp. 012002
Author(s):  
R Y K S Wibowo ◽  
R Hermawan ◽  
S B Rushayati
Keyword(s):  
Water Conservation ◽  
Urban Forest ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Area Index ◽  
Architecture Model ◽  
Architectural Model ◽  
Architectural Models ◽  
The Difference ◽  
Hemispherical Photograph

Abstract The aim of developing urban forests for steep areas is to prevent erosion. Erosion can be caused by stemflow and throughfall. The difference in stemflow and throughfall is thought to be due to differences in the tree architecture model. The study investigates the effects of several tree architectural models on the amount of stemflow and throughfall. It is hoped that data and information of this research can be taken into consideration in selecting tree species for the benefit of soil and water conservation in urban forest areas that have the potential for erosion and sedimentation. The collection and processing of data comprised the rainfall data obtained from Meteorological Climatological and Geophysical Agency, measurement of leaf area index using a hemispherical photograph and Hemiview 2.1 software, measurement of stemflow and throughfall in five tree architectural models (Massart, Aubreville, Koriba, Rauh, and Troll). Afterward, the relationship between the dependent and independent variables is known through multiple linear regression analysis using Minitab 16 software. The result showed that the tree architectural model influences stemflow and throughfall. The tree architectural model with the highest stemflow and throughfall is Rauh, and the lowest belongs to the Massart architectural model. The tree architectural model that can be used for land and water conservation is Massart; the species is Diospyros discolor Willd.

Disability and Principal Lifetime Occupation in the Elderly

1996 ◽  
Vol 43 (4) ◽  
pp. 317-324 ◽  
Author(s):  
Cristina Geroldi ◽  
Giovanni B. Frisoni ◽  
Renzo Rozzini ◽  
Marco Trabucchi
Keyword(s):  
Linear Regression Analysis ◽  
The Elderly ◽  
Multiple Linear Regression Analysis ◽  
Cognitive Status ◽  
Community Dwelling ◽  
Complete Disappearance ◽  
Italian Population ◽  
White Collar Workers ◽  
The Difference ◽  
Relationship Of

This study addresses the relationship of disability with principal lifetime occupation in the elderly. Daily function, cognitive, and physical health variables were assessed in an Italian population of 524 community-dwelling elders aged seventy and over. Farmers had 1.4 (95% C.I.: 0.6 to 2.2) instrumental daily functions lost higher than white-collar workers. Adjustment for age, education, and financial dissatisfaction with multiple linear regression analysis decreased the difference to a still significant figure of 0.9 (95% C.I.: 0.1 to 1.7). On the contrary, adjustment only for cognitive status resulted in complete disappearance of the association [0.2 functions lost (95% C.I.: −0.5 to 0.9)]. The data indicate that greater disability in the most disadvantaged occupational groups may be due to poorer cognition.

scholarly journals Implementation of a Blind Quality Control Program in Blood Alcohol Analysis

2019 ◽  
Vol 43 (8) ◽  
pp. 630-636 ◽  
Author(s):  
Jackeline Moral ◽  
Callan Hundl ◽  
Dayong Lee ◽  
Maddisen Neuman ◽  
Aimee Grimaldi ◽  
...  
Keyword(s):  
Quality Control ◽  
Linear Regression Analysis ◽  
Control Program ◽  
Multiple Linear Regression Analysis ◽  
Blood Alcohol ◽  
Proficiency Tests ◽  
Science Center ◽  
Quality Control Program ◽  
Significant Difference ◽  
The Difference

Abstract Declared proficiency tests are limited in their use for testing the performance of the entire system, because analysts are aware that they are being tested. A blind quality control (BQC) is intended to appear as a real case to the analyst to remove any intentional or subconscious bias. A BQC program allows a real-time assessment of the laboratory’s policies and procedures and monitors reliability of casework. In September 2015, the Houston Forensic Science Center (HFSC) began a BQC program in blood alcohol analysis. Between September 2015 and July 2018, HFSC submitted 317 blind cases: 89 negative samples and 228 positive samples at five target concentrations (0.08, 0.15, 0.16, 0.20 and 0.25 g/100 mL; theoretical targets). These blood samples were analyzed by a headspace gas chromatograph interfaced with dual-flame ionization detectors (HS-GC-FID). All negative samples produced `no ethanol detected’ results. The mean (range) of reported blood alcohol concentrations (BACs) for the aforementioned target concentrations was 0.075 (0.073–0.078), 0.144 (0.140–0.148), 0.157 (0.155–0.160), 0.195 (0.192–0.200) and 0.249 (0.242–0.258) g/100 mL, respectively. The average BAC percent differences from the target for the positive blind cases ranged from −0.4 to −6.3%, within our uncertainty of measurement (8.95–9.18%). The rate of alcohol evaporation/degradation was determined negligible. A multiple linear regression analysis was performed to compare the % difference in BAC among five target concentrations, eight analysts, three HS-GC-FID instruments and two pipettes. The variables other than target concentrations showed no significant difference (P > 0.2). While the 0.08 g/100 mL target showed a significantly larger % difference than higher target concentrations (0.15–0.25 g/100 mL), the % differences among the higher targets were not concentration-dependent. Despite difficulties like gaining buy-in from stakeholders and mimicking evidence samples, the implementation of a BQC program has improved processes, shown methods are reliable and added confidence to staff’s testimony in court.

scholarly journals Pengaruh Informasi Akuntansi dan Permintaan Investor terhadap Underpricing

2020 ◽  
Vol 30 (3) ◽  
pp. 746
Author(s):  
Made Aida Pradnyadevi ◽  
I Made Sadha Suardikha
Keyword(s):  
Stock Prices ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Financial Statements ◽  
Total Sample ◽  
Multiple Linear Regression Analysis ◽  
Secondary Market ◽  
Analysis Technique ◽  
Bid Price ◽  
The Difference

Underpricing is a phenomenon that often occurs from IPO activities on the IDX. Underpricing is the difference in stock prices that occur in the primary .market’ and secondary’ market, where the bid price is lower than the closing price of the first trading day. The purpose of this research is to find out the effect of accounting information and investor demand on underpricing.This research was conducted’.at companies whose IPO on .the’ Stock .Exchange in 2016-2018. Data collection was obtained from the collection of prospectuses and company financial statements. The total sample of 81 companies using a purposive sampling method. The analysis technique used is multiple linear regression analysis. This study proves that profitability and firm size negatively affect underpricing, while financial leverage and investor demand have no effect on underpricing. Keywords: Underpricing; Profitability; Company Size; Investor Demand.

scholarly journals GAMBARAN SUPERVISI, IKLIM KERJA SERTA KEPUASAN KERJA KARYAWAN PT. TRIBUANA REKAYASA BANDUNG

2018 ◽  
Vol 3 (1) ◽  
pp. 81-86
Author(s):  
Devi Robissalami ◽  
Sumiyati Sumiyati ◽  
Eded Tarmedi
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Positive Influence ◽  
Cross Sectional ◽  
Employee Job Satisfaction ◽  
Analysis Technique ◽  
The Difference ◽  
Cross Sectional Design ◽  
The Impact

Purpose - The purpose of this study is to determine the effect of supervision and working climate on employee job satisfactionDesign / methodology / approach - This research was conducted in less than 1 year period, the research design is cross-sectional design. The method used is exolanatory survey, and population 67 employees. The analysis technique used is descriptive, the questionnaire is used as a research instrument to collect data from respondents.Findings - based on the results of the study using multiple linear regression analysis, the result that there is a positive influence of supervision and work climate on employee job satisfaction.Originality / value - this study provides a basis for find out the impact of supervision and working climate on employee job satisfaction. The difference of this study with previous research is on the objects, variables, theories and the references.

scholarly journals Pembelajaran Kewirausahaan Dan Lingkungan Keluarga Kaitannya Dengan Intensi Berwirausaha Siswa SMK

2019 ◽  
Vol 17 (2) ◽  
pp. 68
Author(s):  
Mega Hermayanti ◽  
Hari Mulyadi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Family Environment ◽  
Linear Regression Analysis ◽  
Population Data ◽  
Multiple Linear Regression Analysis ◽  
Entrepreneurial Intention ◽  
Measurement Instruments ◽  
Entrepreneurial Learning ◽  
The Difference

This study was conducted to see how much influence entrepreneurial learning and family environment to the entrepreneurial intention of students. Type of research is descriptive and verification with samples taken as many as 108 respondents from 151 population. Data analysis techniques in this study using multiple linear regression. Based on the results of research using multiple linear regression analysis, showed that entrepreneurial learning and family environment significantly affect the entrepreneurial intention of  students. The difference in this study with other studies located from the object of research, measurement instruments used, population and sample, as well as research results. In this study, using the theory of journals and books, so the theory used is different.

scholarly journals Analisis Interaksi dan Perbedaan Pembelajaran Bersama dan Pembelajaran-Mandiri serta Motivasi terhadap Pengetahuan-diri pada Semester VII Sekolah Tinggi Ilmu Tarbiyah Raden Wijaya Mojokerto

2019 ◽  
Vol 2 (1) ◽  
pp. 51-56
Author(s):  
Mohammad Rodli
Keyword(s):  
High School ◽  
Regression Analysis ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Analysis Techniques ◽  
Self Knowledge ◽  
The Difference ◽  
Self Learning ◽  
Learning Together

The purpose of this study are: 1) Describe the differences of self-knowledge with Learning together with self-learning in the seventh semester of Tarbiyah High School of Raden Wijaya Mojokerto. 2) Describe the difference of self-knowledge of high motivated and low motivated students in the seventh semester of Tarbiyah High School of Raden Wijaya Mojokerto 3) Describe the interaction between learning together with self-learning and self-knowledge motivation in semester VII Tarbiyah High School Tarriyah Raden Wijaya Mojokerto . The type of this research is survey type research with quantitative approach. Population as object of research is student of semester VII of Tarbiyah High School of Raden Wijaya Mojokerto, This research is included in research of comparative explanation. Data collection techniques used questionnaires, while data analysis techniques used multiple linear regression analysis, with hypothesis test using t test and F test. From the analysis result can be concluded as follows: 1) There is difference of self-knowledge with Learning together with self-learning. 2) There is no difference in self-knowledge that is highly motivated and students with low motivation. 3) There is an interaction between Learning along with self-learning as well as motivation to self-knowledge.

scholarly journals Test and analysis of the porosity of cotton fiber assembly

2021 ◽  
Vol 16 ◽  
pp. 155892502110242
Author(s):  
Li Yong ◽  
Li Jian ◽  
Liu Xian ◽  
Wu Bei
Keyword(s):  
Pore Structure ◽  
Cotton Fiber ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Regression Equations ◽  
Void Space ◽  
Area Index ◽  
Textile Materials ◽  
Fiber Assembly ◽  
White Area

Porosity is one of the most important properties of textile materials that ensures their comfort and usability. The internal pore structure of the cotton fiber assembly is complex and changeable, surface pore is difficult to explain its pore structure. It is intended to develop a method to predict the pore morphology of cotton fiber assembly. Pore image of the multi-layer fiber assembly is collected by a fiber photography instrument, used the Image Pro Plus 6.0 software to analyze, and obtained the white area indicators of image which can be applied to describe void space of fiber assembly. Using multiple linear regression analysis method, the regression equation of the white area index of image and porosity index of cotton fiber assembly is established. The results indicate that the white area index can largely be explained by three pore index namely the porosity ε, mean length of fiber between the adjacent contacts B and fiber tortuosity coefficient. Appropriate regression equations can be formulated for the pore of white area index which can aid in predicting the pore texture. Comparing the data indicators, it is found that mean length of fiber between the adjacent contacts B and the porosity ε, fiber tortuosity coefficient τ, and air permeability q have good linear correlation.

scholarly journals ACCOUNTANTS MORAL JUDGEMENT IN RELIGIOUS AND NON-RELIGIOUS SCHOOL BACKGROUND’S PERSPECTIVE

2018 ◽  
Vol 2 (2) ◽  
pp. 97
Author(s):  
Hariany Idris ◽  
Warka Syachbrani
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Accounting Students ◽  
Religious School ◽  
Religious Background ◽  
Data Source ◽  
The Difference

This study aims to review the conduct of investigation regarding moral judgements between accountants with religious and non-religious school background using moral indicators (moral judgment). Multiple linear regression analysis used in this study. To review the partially relationships between variables, the study operated using T-test, whereas for review simultaneous relationships between variables the study used F-test. This study using 86 respondents as a data source for review processed. The findings of the research is the Religious Background (X1) significantly affected the Accounting students morality judgement (Y), while the difference of Gender (X2) showed the opposite results.

scholarly journals GAMBARAN HARGA, KARAKTERISTIK PRODUK SERTA KEPUTUSAN PEMBELIAN MOBIL TOYOTA INNOVA DI BANDUNG

2018 ◽  
Vol 3 (1) ◽  
pp. 113-121
Author(s):  
Lusiana Safitri ◽  
Agus Rahayu
Keyword(s):  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Positive Influence ◽  
Purchase Decision ◽  
Product Characteristics ◽  
Cross Sectional ◽  
Analysis Technique ◽  
The Difference ◽  
Cross Sectional Design ◽  
The Impact

Objective - The purpose of this paper is to determine the effect of price and product characteristics on purchasing decisionsDesign / methodology / approach - This research was conducted in less than 1 year period, so the research design is cross-sectional design. The method used is exolanatory survey, and population 60 respondents. The analysis technique used is descriptive, the questionnaire is used as a research instrument to collect data from respondents.Finding - Based on the results of the study using multiple linear regression analysis, the result that there is a positive influence of price and product characteristics on purchase decision.Originality / value - this study provides a basis for find out the impact of price and product characteristics on purchase decision. The difference of this study with previous research is on the objects, variables, theories and the reference.

scholarly journals Do male students perform poorly when taught by a teacher? A pilot study on the students of the primary grades of schools "Esnad" in Medina

2019 ◽  
Vol 1 (5) ◽  
Author(s):  
Alaa Asaad Farghli ◽  
Mahmoud Abbas Abdeen
Keyword(s):  
Private School ◽  
Linear Regression Analysis ◽  
Primary Grades ◽  
Multiple Linear Regression Analysis ◽  
Male Students ◽  
Ministry Of Education ◽  
Factors Affecting ◽  
The Difference ◽  
And Mathematics ◽  
The Impact

The aim of the study was to find out the effect of teacher teaching on the achievement of male students in the three primary grades of the primary stage, in both language and mathematics. The sample of the study was divided into two experimental and control groups, respectively: male students studying with private school teachers (597), and male students studying at Esnad schools (420) students. The two groups applied standard tests designed by the Saudi Ministry of Education to evaluate the performance of the Saudi teacher. The results of the study showed that there were statistically significant differences between the average achievement for the students of the teachers at the level of significance (α = 0.05). In both subjects: mathematics and my language in the second and third grades, the first row was the difference in mathematics by an average difference of 0.7, The second with an average of 3.6 and 3.8 degrees; for both languages ​​and mathematics, respectively, and the differences for the third grade were multiplied by 12.4 and 5; respectively for the two languages ​​and mathematics; Another test tool was the collection of information on factors affecting students' achievement. By conducting multiple linear regression analysis, the difference in student scores was explained by other factors. The study recommended separating girls from boys to avoid the impact of gender bias reflected negatively on student achievement.

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