Multivariate-parameter optimization of the alkaline peroxide mechanical pulp (APMP) process for larch (Larix gmelinii Rupr.) using Box-Behnken design

Holzforschung ◽  
2013 ◽  
Vol 67 (7) ◽  
pp. 727-734 ◽  
Author(s):  
Wenming He ◽  
Huiren Hu ◽  
Wang Li
Keyword(s):  
Tensile Strength ◽  
Regression Analysis ◽  
Quadratic Regression ◽  
Mechanical Pulp ◽  
Box Behnken Design ◽  
Independent Variables ◽  
Second Stage ◽  
Alkaline Peroxide ◽  
Multivariate Parameter ◽  
Impregnation Temperature

Abstract The study is aiming at the finding of optimal pulping conditions for the alkaline peroxide mechanical pulping process applied to larch in terms of brightness (% ISO) and tensile strength (TS). Based on three variables, the Box-Behnken experimental design was applied to determine the effects of the first-stage and second-stage dosages of H2O2 and the impregnation temperature on % ISO and TS. The equations based on the quadratic regression analysis were developed, which describe the response behaviors as the simultaneous functions of the selected independent variables. The best brightness achieved was 75.4% ISO under the following conditions: first-stage H2O2 3.5%, second-stage H2O2 3.54%, and impregnation temperature 81.4°C. The best TS (37.2 N·m g-1) was found under the following conditions: first-stage H2O2 2.4%, second-stage H2O2 3.9%, and impregnation temperature 90°C.

scholarly journals Evaluation of Efficiency and Its Determinants in Croatian Hotel Industry

2021 ◽  
Vol 9 ◽  
pp. 108-115
Author(s):  
Maja Pervan ◽  
Petra Babic
Keyword(s):  
Regression Analysis ◽  
Hotel Industry ◽  
Medium Size ◽  
Data Envelopment ◽  
Truncated Regression ◽  
Independent Variables ◽  
Second Stage ◽  
Using Data ◽  
Stage Analysis ◽  
First Time

The main objective of this research was to evaluate the efficiency of Croatian hotels and provide insights into the sources of their efficiency. In order to obtain set goals, a two-stage analysis was performed on a sample of 69 large and medium-size hotels that were operating in Croatia in 2019. In the first stage of analysis, the efficiency scores of hotels were obtained by using Data envelopment analysis (DEA), whereas in the second stage of analysis, achieved efficiency coefficients were served as dependent variable in a truncated regression model in which hotel’s ownership, age, location, size and star rating were applied as independent variables. As this is the first time that efficiency of Croatian hotel industry is investigated with the application of truncated regression analysis, this research contributes to the existing literature by shading new lights on the sources of hotels’ efficiency from the perspective of a country heavily relaying on seasonal seaside tourism. Results of the research showed that all analysed variables (except age) play significant and important role in determining the achieved level of efficiency.

scholarly journals DESIGN AND OPTIMIZATION OF DOXORUBICIN HCL PRONIOSOMES BY-DESIGN OF EXPERIMENT

2019 ◽  
pp. 90-95
Author(s):  
SRIKANTH ◽  
ANAND KUMAR Y. ◽  
MALLIKARJUNA SETTY C.
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Design Of Experiment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Tween 20 ◽  
Box Behnken Design ◽  
Independent Variables ◽  
Dependent Variables

Objective: The present research work was designed to formulate and optimize doxorubicin HCl proniosomes by design of experiment (DoE). Methods: A 4-factor, 3-level Box-Behnken design was used to explain multiple linear regression analysis and contour 3D plot responses. The independent variables selected were tween 20, cholesterol, hydration volume and sonication time; dependent variables percentage entrapment efficiency (PEE), mean vesicle size (MVS). Based on the Box-Behnken design 29 trial runs were studied and optimized for PEE and MVS. Further "Model F-Value" was calculated to confirm the omission of insignificant terms from the full-model equation to derive a multiple linear regression analysis to predict the PEE and MVS of niosomes derived from proniosomes. 3D plots were constructed to show the influence of independent variables on dependent variables. Results: PEE of doxorubicin HCl proniosomes was found to be in the range of 40.21-87.5%. The polynomial equation for PEE exhibited a good correlation coefficient (0.5524) and the "Model F-Value" of 7.41 implies the model is significant. P-values less than 0.0500 indicate model terms are significant. The MVS of doxorubicin HCl proniosomes was found to be in the range of 325.2 nm to 420.25 nm. The mathematical model generated for MVS (R2) was found to be significant with model F-value of 54.22. There is only a 0.01% chance that a "Model F-Value" this large could occur due to noise (P<0.0500) and R2 value of 0.9004. Conclusion: The DoE of Box-Behnken design demonstrated the role of the derived equation, 3D plot in predicting the values of dependent variables for the preparation and optimization of doxorubicin HCl proniosomes. The results suggest that doxorubicin HCl proniosomes can act as a promising carrier.

Insulating Composites Made from Sulfur, Canola Oil, and Wool

2020 ◽  
Author(s):  
Israa Bu Najmah ◽  
Nicholas Lundquist ◽  
Melissa K. Stanfield ◽  
Filip Stojcevski ◽  
Jonathan A. Campbell ◽  
...  
Keyword(s):  
Tensile Strength ◽  
Canola Oil ◽  
Building Blocks ◽  
Atom Economy ◽  
Flame Resistance ◽  
Sustainable Building ◽  
Second Stage ◽  
Wool Fibers ◽  
Insulating Properties ◽  
Polysulfide Polymer

An insulating composite was made from the sustainable building blocks wool, sulfur, and canola oil. In the first stage of the synthesis, inverse vulcanization was used to make a polysulfide polymer from the canola oil triglyceride and sulfur. This polymerization benefits from complete atom economy. In the second stage, the powdered polymer is mixed with wool, coating the fibers through electrostatic attraction. The polymer and wool mixture is then compressed with mild heating to provoke S-S metathesis in the polymer, which locks the wool in the polymer matrix. The wool fibers impart tensile strength, insulating properties, and flame resistance to the composite. All building blocks are sustainable or derived from waste and the composite is a promising lead on next-generation insulation for energy conservation.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

PENGARUH PELATIHAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN PADA KOPILOKA 3.0 PALEMBANG TAHUN 2021

2021 ◽  
Vol 1 (2) ◽  
pp. 145-152
Author(s):  
Juni Eliana Prasetya N ◽  
Moh. Faizal ◽  
Choirunnisak Choirunnisak
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Work Motivation ◽  
Employee Performance ◽  
Independent Variables ◽  
Analysis Technique ◽  
Level Of Training ◽  
Positive Effect

In this study, there are results that contradict the theory which states that the higher the level of training and motivation, the employee's performance should increase.  In this study, training had no effect and motivation had no positive effect. This study aims to determine the effect of training and work motivation on employee performance in Kopiloka 3.0.  The population in this study were all employees at Kopiloka 3.0, which amounted to 15 people with a sample of 15 people using saturated sampling.  The data analysis technique in this study used SPSS 24 software, which consisted of data quality test, classical assumption test, multiple regression analysis, and hypothesis testing. By using multiple regression analysis, the results of the study show that training has no effect on employee performance.  Motivation has a significant effect on employee performance.  Simultaneously (together) the independent variables of training and motivation have an effect on employee performance.

PENGARUH SELF ASSESSMENT SYSTEM DAN SISTEM INFORMASI PERPAJAKAN TERHADAP KEPATUHAN WAJIB PAJAK

2017 ◽  
Vol 13 (1) ◽  
pp. 31
Author(s):  
Endang Satyawati ◽  
Mardanung Patmo Cahjono
Keyword(s):  
Information System ◽  
Regression Analysis ◽  
Tax Compliance ◽  
Assessment System ◽  
The Self ◽  
Analysis Tool ◽  
Self Assessment ◽  
Independent Variables ◽  
Tax Payers ◽  
Positive Effect

Taxes are a financial source for state revenues, so that the tax authorities as the tax collector must perform outreach to tax payers and improve tax compliance. This study aims to determine the effect of the self-assessment system and the information system of taxation on tax payer compliance. The analysis tool used regression analysis to examine the effect of independent variables on the dependent variable. The result of research that the self-assessment system and the information system of taxation positive effect on tax compliance. The study is expected to contributed positively both to the tax office and can be used as a reference for further research.Keywords: self-assessment system, the information system of taxation, and tax compliancePajak adalah sumber keuangan untuk penerimaan negara, sehingga otoritas pajak sebagai pemungut pajak harus melakukan penjangkauan ke wajib pajak dan memperbaiki kepatuhan pajak. Penelitian ini bertujuan untuk mengetahui pengaruh sistem self-assessment dan sistem informasi perpajakan terhadap kepatuhan wajib pajak. Alat analisis yang digunakan adalah analisis regresi untuk menguji pengaruh variabel bebas terhadap variabel dependen. Hasil penelitian bahwa sistem self-assessment dan sistem informasi perpajakan berpengaruh positif terhadap kepatuhan pajak. Penelitian ini diharapkan dapat memberikan kontribusi positif baik terhadap kantor pajak maupun dapat dijadikan referensi untuk penelitian lebih lanjut.Kata kunci: sistem asesmen diri, sistem informasi perpajakan, dan kepatuhan pajak

scholarly journals INFLUENCE OF TIME MANAGEMENT IN MODELING OF CURVE RESISTANCE TO THE PENETRATION OF A LATOSOL UNDER DIFFERENT USES AND MANAGEMENT OF PASTURES AND NATIVE WOODLAND

2016 ◽  
Vol 40 (3) ◽  
pp. 519-527 ◽  
Author(s):  
Kathleen Lourenço Fernandes ◽  
Adriana Aparecida Ribon ◽  
João Tavares Filho ◽  
Gustavo Dias Custódio ◽  
Leonardo Rodrigues Barros
Keyword(s):  
Regression Analysis ◽  
Time Management ◽  
Soil Compaction ◽  
Total Porosity ◽  
Soil Resistance ◽  
Independent Variables ◽  
Grazing System ◽  
Native Woodland ◽  
Stepwise Procedure ◽  
Resistance To Penetration

ABSTRACT The soil resistance to penetration study helps in understanding the state of soil compaction, indicating how best to manage it. The present study aimed to verify the influence of time management in modeling curves of resistance to penetration in Oxisol under different uses and management of pastures and woodland in field conditions, using the stepwise procedure. The study was conducted in the Cerrado region. Five (5) systems of uses and management of pastures and native woodland were evaluated: ILPF: crop-livestock-forest integration; ILP: crop-livestock integration; P: Area in the extensive grazing system; MN: native woodland; PIQ: rotated picket. The experiments were assessed for the years 2012/13 and 2013/14. To obtain the models, an analysis with four independent variables was performed: Gravimetric moisture (X1), bulk density (X2), total porosity (X3) and organic matter (X4) and the dependent variable, soil resistance to penetration (Y). The multiple regression analysis by STEPWISE with F of 0.15 was used. The equation that best estimated the resistance to penetration was RP = 14.68 to 0.26 for Native Woodland in layers from 0.20 - 0.40 m with R2 indices of 0.97 in year 1. For year 2, the equation that estimated the resistance to penetration was obtained in the PIQ treatment, PR = - 15.94 - 0.29 PT + 15.87 DS + 0.05 MO. with R2 of 0.94.

A Study Relationship between Firm Performance and Dividend Policy by Fuzzy Regression: Iranian scenario

2013 ◽  
Vol 3 (2) ◽  
pp. 70
Author(s):  
Seyed Hasan Salehnezhad
Keyword(s):  
Regression Analysis ◽  
Stock Returns ◽  
Dividend Policy ◽  
Functional Relationship ◽  
Stock Exchange ◽  
Negative Relationship ◽  
Decision Makers ◽  
Fuzzy Regression ◽  
Independent Variables ◽  
Fuzzy Environment

Fuzzy regression analysis is an extension of the classical regression analysis that is used in evaluating the functional relationship between the dependent and independent variables in a fuzzy environment. Accounting dividend is the most important information used by decision makers in the economic analysis. This research investigated corporate governance and dividend policy in listed company's Tehran Stock exchange by fuzzy regression during 2010 and 2012. The results indicated that significant and positive relationship exists between financial performance (stock returns) and dividend policy and also there was a significant and negative relationship exists between economic performance (EVA) and dividend policy. Furthermore, a significant relationship exists between controlling variable (size) and dividend policy.

scholarly journals PENGARUH RELATIONSHIP MARKETING DAN KUALITAS LAYANAN TERHADAP LOYALITAS NASABAH TABUNGAN SIKOCI PADA BANK NAGARI CABANG SIMPANG EMPAT

2020 ◽  
Author(s):  
Lola Satri ◽  
Alfian
Keyword(s):  
Regression Analysis ◽  
Relationship Marketing ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Positive Influence ◽  
Research Use ◽  
Independent Variables ◽  
Analysis Technique ◽  
Positive Effect

This research has a purpose to know whether relationship marketing and service quality have positive influence to loyalty of customer of saving sikoci at Bank of Nagari branch of Simpang Empat either partially or simultaneously and know which variable is more dominant. The data collection techniques used in this study is a questionnaire. The sample used is 100 customer, with sampling technique using accidental sampling technique. Data analysis technique in this research use multiple linear regression analysis. The results obtained in this study are as follows: (1) Trust has positive effect (944) &lt;(1,984) and not significant (0,348)&gt; (0,05) to loyalty. (2)) Commitment has positive (8,218)&gt; (1,984) and significant (0,000) &lt;(0,05) effect on loyalty. (3) Tangibles has negative (-2,430)&gt; (1,984) and significant (0,017) &lt;(0,05) effect on loyalty. (4) Reliability negatively (-1.570) &lt;(1,984) and insignificant 0, 120&gt; 0.05 to loyalty. (5) Responsiveness has positive effect (5,922)&gt; t table (1,984) and significant (0,000) &lt;(0,05) to loyalty. (6) Warranty has positive effect (1,199) &lt;(1,984) and insignificant 0, 234&gt; 0,05 to loyalty. (7) Empathy has positive effect (186) &lt;(1,984) and insignificant 0, 853&gt; 0,05 to loyalty. From the value of Adjusted R Squere simultaneously produced 566. It means that 56.6% of loyalty variables are influenced by independent variables and the remaining 43.4% is influenced by othervariables.

scholarly journals IMPLIKASI PERUBAHAN UNDANG–UNDANG PERPAJAKAN TERHADAP KEPUTUSAN STRATEGI LEVERAGE BAGI PERUSAHAAN YANG TERDAFTAR DI PT. BURSA EFEK JAKARTA

2017 ◽  
Vol 12 (2) ◽  
pp. 227
Author(s):  
Sapari Sapari
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Stock Exchange ◽  
Negative Influence ◽  
Positive Influence ◽  
Independent Variables ◽  
Tax Shield ◽  
Independent Variable ◽  
Debt Tax Shield ◽  
Tax Regulation

This  research  examines the  connection between non debt tax shield and the change of leverage, between level of effective company tax and the change of leverage, and between operation income before depreciation and the change of leverage.This research takes 17 samples of  food and beverages companies listed in Jakarta Stock Exchange from 1st  January 1994 till 31st  December 1999. And this research uses data from 1994 – 1999 for the regression analysis. Multiple regression analysis is used to test hyphothesis 1 (H1), hyphothesis 2 (H2) and hyphothesis 3 (H3). Independent variables in the regression are level of effective company tax, non debt tax shield and operation income before depreciation, whilst independent variable in the regression is leverage.The result of this research proves that (1) non debt tax shield after the amendment of 1994 tax regulation (1995 – 1999) brings positive influence to the leverage change, (2) level of effective company tax after the amendment of 1994 tax regulation (1995 – 1999) brings negative influence to the leverage change, and (3) operation income before  depreciation  after the amendment of 1994 tax regulation (1995 – 1999) brings positive influence to the leverage change.

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