Effects of recovered wood on the formaldehyde release of particleboards

Holzforschung ◽  
2014 ◽  
Vol 68 (6) ◽  
pp. 669-678 ◽  
Author(s):  
Sarah Himmel ◽  
Mark Irle ◽  
Guillaume Legrand ◽  
Rosa Perez ◽  
Carsten Mai
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Gas Analysis ◽  
Raw Material ◽  
Analysis Method ◽  
Linear Regression Models ◽  
Formaldehyde Release ◽  
The Core ◽  
The Individual

Abstract Three-layer polymeric diphenyl-methane-diisocyanate (pMDI)-bonded particleboards (PBs) were produced with different proportions of simulated recovered wood (rW) in the core layers (cLs) to assess the effect of rW on the formaldehyde (FA) release of PB. A pre-test was conducted on furniture and particle mixtures of rW to determine the range of expectable FA emission of rW. The FA content of the raw particle mixtures could be predicted from the contents of the individual raw material and did not change compared to the PB. FA content correlated strongly with PB-FA emission. It was possible to predict the maximum PB-FA contents, which should not be exceeded according to F**** and CARB 2 by linear regression models. At moderate and high total FA emission levels, the FA emission of the particle mixtures was approximately 60% higher than the emission of PB blocks. At low total FA level, the flask method and the gas analysis method exhibited different results with regard to the emissions from particles and their respective PBs.

scholarly journals PENGARUH EKSPOR IMPOR KAKAO DAN KARET TERHADAP CADANGAN DEVISA DI INDONESIA

2020 ◽  
Vol 3 (2) ◽  
pp. 34
Author(s):  
Mustafa Mustafa ◽  
Devi Andriyani
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Foreign Exchange ◽  
Regression Models ◽  
Secondary Data ◽  
Analysis Method ◽  
Linear Regression Models ◽  
Foreign Exchange Reserves ◽  
Multiple Linear Regression Models

This study aims to analyze the effect of cocoa and rubber export imports on foreign exchange reserves in Indonesia. This study uses secondary data from 2005-2017 obtained from the Central Bureau of Statistics of Indonesia. The data analysis method used multiple linear regression models. The results partially show that cocoa and rubber export impors do not significantly influence the foreign exchange reserves in Indonesia. Simultaneous cocoa and rubber export imports have a positive and significant effect on foreign exchange reserves in Indonesia. The amount of influence is 0,9059 or 90,59% while the rest is influenced by other variables outside the model by 09,41%.

scholarly journals Non-Linear Regression Modelling to Estimate the Global Warming Potential of a Newspaper

Entropy ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 590
Author(s):  
Alexis Lozano ◽  
Pedro Cabrera ◽  
Ana M. Blanco-Marigorta
Keyword(s):  
Linear Regression ◽  
Environmental Sustainability ◽  
Regression Models ◽  
Raw Materials ◽  
Operating Conditions ◽  
Raw Material ◽  
Linear Regression Models ◽  
Daily Production ◽  
Non Linear ◽  
The Impact

Technological innovations are not enough by themselves to achieve social and environmental sustainability in companies. Sustainable development aims to determine the environmental impact of a product and the hidden price of products and services through the concept of radical transparency. This means that companies should show and disclose the impact on the environment of any good or service. This way, the consumer can choose in a transparent manner, not only for the price. The use of the eco-label as a European eco-label, which bases its criteria on life cycle assessment, could provide an indicator of corporate social responsibility for a given product. However, it does not give a full guarantee that the product was obtained in a sustainable manner. The aim of this work is to provide a way of calculating the value of the environmental impacts of an industrial product, under different operating conditions, so that each company can provide detailed information on the impacts of its products, information that can form part of its "green product sheet". As a case study, the daily production of a newspaper, printed by coldset, has been chosen. Each process involved in production was configured with raw material and energy consumption information from production plants, manufacturer data and existing databases. Four non-linear regression models have been trained to estimate the impact of a newspaper’s circulation from five input variables (pages, grammage, height, paper type, and print run) with 5508 data samples each. These non-linear regression models were trained using the Levenberg–Marquardt nonlinear least squares algorithm. The mean absolute percentage errors (MAPE) obtained by all the non-linear regression models tested were less than 5%. Through the proposed correlations, it is possible to obtain a score that reports on the impact of the product for different operating conditions and several types of raw materials. Ecolabelling can be further developed by incorporating a scoring system for the impact caused by the product or process, using a standardised impact methodology.

scholarly journals PENGARUH PENGGUNAAN E-FILING DAN PEMAHAMAN PERPAJAKAN TERHADAP KEPATUHAN PENYAMPAIAN SPT TAHUNAN WPOP (Studi Pada WPOP Pekerja Bebas Di Kota Salatiga )

2021 ◽  
Vol 12 (1) ◽  
pp. 34-51
Author(s):  
Fadillah Achmad Resandi ◽  
Ika Kristianti
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Regression Models ◽  
Sampling Method ◽  
Hypothesis Test ◽  
Questionnaire Data ◽  
Linear Regression Models ◽  
The Individual ◽  
Positive Effect ◽  
Multiple Linear Regression Models

The purpose of this study to determine the effect of using e-filing and understanding of taxation on compliance of annual taxpayer reporting of the individual taxpayer in the Salatiga. The population of this research is non-employee individual taxpayers who are registered in KPP Pratama Salatiga. The sample used is 100 respondents and data collection techniques using an incidental sampling method. The questionnaires were distributed using google form and given directly to respondents. The collected questionnaire data was tested with validity, reliability, and classical assumption tests. Hypothesis test using the T-test with multiple linear regression models. The results of this study indicate that (1) the use of e-filing has a positive effect on compliance with the annual taxpayer reporting of non-employee individual taxpayers in Salatiga. (2) Understanding taxation has a positive effect on compliance with the annual taxpayer reporting of non-employee individual taxpayers in Salatiga.

Influence of Grip Width and Anthropometric Characteristics on the Bench-Press Load–Velocity Relationship

2020 ◽  
Vol 15 (7) ◽  
pp. 949-957
Author(s):  
Alejandro Pérez-Castilla ◽  
Daniel Jerez-Mayorga ◽  
Dario Martínez-García ◽  
Ángela Rodríguez-Perea ◽  
Luis J. Chirosa-Ríos ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Models ◽  
Bench Press ◽  
Linear Regression Models ◽  
Mean Velocity ◽  
Movement Velocity ◽  
Anthropometric Characteristics ◽  
The Mean ◽  
The Individual

Purpose: To compare the load–velocity (L-V) relationship between bench-press exercises performed using 4 different grip widths, to determine the association between the anthropometric characteristics and L-V profile, and to explore whether a multiple linear-regression model with movement velocity and subjects’ anthropometric characteristics as predictor variables could increase the goodness of fit of the individualized L-V relationship. Methods: The individual L-V relationship of 20 men was evaluated by means of an incremental loading test during the bench-press exercise performed on a Smith machine using narrow, medium, wide, and self-selected grip widths. Simple and multiple linear-regression models were performed. Results: The mean velocity associated with each relative load did not differ among the 4 grip widths (P ≥ .130). Only body height and total arm length were correlated with the mean velocity associated with light and medium loads (r ≥ .464). A slightly higher variance of the velocity attained at each relative load was explained when some anthropometric characteristics were used as predictor variables along with the movement velocity (r2 = .969 [.965–.973]) in comparison with the movement velocity alone (r2 = .966 [.955–.968]). However, the amount of variance explained by the individual L-V relationships was always higher than with the multiple linear-regression models (r2 = .995 [.985–1.000]). Conclusions: These results indicate that the individual determination of the L-V relationship using a self-selected grip width could be recommended to monitor relative loads in the Smith machine bench-press exercise.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

Linear Regression Models for Interval-Valued Data using Log-transformation

2020 ◽  
Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Regression Models ◽  
Log Transformation ◽  
Interval Valued

THE PREDICTIVE CONTENT OF DISAGGREGATED NORMAL INCOME: An Empirical Study in the JSX

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Single Step ◽  
Model Parameters ◽  
Linear Regression Models ◽  
Operating Income ◽  
Predictive Content ◽  
Multiple Step

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.

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