scholarly journals All-silicon terahertz metamaterials absorber and pesticides sensing

2021 ◽  
Vol 14 (2) ◽  
pp. 31-43
Author(s):  
Zijian Cui ◽  
Yue Wang ◽  
Xiang Zhang ◽  
Yongqiang Zhu ◽  
Dachi Zhang
Keyword(s):  
Linear Regression ◽  
Regression Coefficient ◽  
Dual Band ◽  
Linear Regression Coefficient ◽  
Perfect Absorption ◽  
Good Linear ◽  
Physical Mechanisms ◽  
Stealth Technology ◽  
Terahertz Frequencies ◽  
Terahertz Metamaterials

Perfect absorption based on metamaterials at terahertz frequencies range has attracted a great deal of interest in the field of sensing, imaging, bolometers and stealth technology. This review is focused on presenting several recently developed absorbers based on all-silicon metamaterials, such as single-band, dual-band, multi-band and broadband absorbers. The partial physical mechanisms and optical tunability corresponding to the absorption are also reported. Furthermore, the presented absorbers can be used to detect the concentration of trace pesticides, and a good linear regression coefficient was obtained between the absorption amplitude and the concentration. Notably, the presented all-silicon metamaterials perfect absorbers are compatible with COMS processing which is beneficial to promote the development of terahertz functional devices.

Mathematical coupling of data: correction of a common error for linear calculations

1986 ◽  
Vol 60 (1) ◽  
pp. 335-343 ◽  
Author(s):  
L. F. Moreno ◽  
H. H. Stratton ◽  
J. C. Newell ◽  
P. J. Feustel
Keyword(s):  
Linear Regression ◽  
Regression Coefficient ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Linear Regression Coefficient ◽  
Common Error ◽  
The Common ◽  
The Relationship ◽  
Scientific Environment ◽  
Mathematical Coupling

The need frequently arises in the scientific environment to investigate the relationship between quantities that are calculated from a common set of directly measured variables. However, the presence of error in the common set of measured variables distorts the relationship among the calculated quantities and can lead to incorrect conclusions. This article presents a method of correcting for such distortions in the Pearson correlation coefficient and in the linear regression coefficient for linear calculations involving two measured variables. The errors considered may be either independent of, or proportional to, the value of the variable being measured. Tests to determine whether these popular coefficients have values significantly different from zero are presented. An example from the physiology literature is presented to illustrate these techniques.

scholarly journals Estimation and comparison of conventional and genomic breeding values in Holstein cattle of Antioquia, Colombia

2015 ◽  
pp. 4739-4753 ◽  
Author(s):  
Juan Zambrano A ◽  
Juan Rincón F ◽  
Albeiro López H ◽  
Julián Echeverri Z
Keyword(s):  
Linear Regression ◽  
Milk Yield ◽  
Conventional Method ◽  
Regression Coefficient ◽  
Rank Correlation ◽  
Breeding Value ◽  
Fat Percentage ◽  
Linear Regression Coefficient ◽  
Genomic Breeding ◽  
Breeding Values

ABSTRACT Objetive. To estimate and compare breeding values (EBV) using the conventional method (BLUP) and genomic breeding values (MEBV and GEBV) estimated through bayes C method for milk yield and milk quality traits in dairy cattle in Antioquia, Colombia. Materials and methods. Two methods were used to estimate breeding values: BLUP to estimate conventional breeding value (EBV) and bayes C to estimate genomic values (MEBV and GEBV). The traits evaluated were: milk yield (PL), protein percentage (PPRO), fat percentage (PGRA) and score somatic cell (SCS). The methods (BLUP and bayes C) were compared using Person correlation (rp), Spearman rank correlation (rs) and linear regression coefficient (b). Results. The Pearson and Spearman correlations among EBVs and genomic values (MEBV and GEBV) (rpMEBV;EBV and rsGEBV;EBV) were greater than 0.93 and the linear regression coefficients of EBVs on genomic values (MEBV and GEBV) (bMEBV;EBV, and bGEBV;EBV) ranged between 0.954 and 1.051 in all traits evaluated. Conclusions. The predictions of genomic values (MEBV and GEBV), using bayes C method were consistent with the predictions of the EBVs estimate through the conventional method (BLUP) in conditions of high Colombian tropic, allowing to obtain high associations between the breeding values.

scholarly journals The Effect Of Non Performance Loan (Npl) And Loan Deposit Ratio (Ldr) On Return On Asset (Roa) In Pt. Bank Rakyat Indonesia (Persero), Tbk

2021 ◽  
Vol 2 (1) ◽  
pp. 83-96
Author(s):  
Agung Rahmat Ilahi ◽  
Karona Cahya Susena ◽  
Wagini Wagini
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Coefficient ◽  
Financial Statements ◽  
Coefficient Of Determination ◽  
Linear Regression Equation ◽  
Linear Regression Coefficient ◽  
Return On Assets ◽  
Collection Method ◽  
Regression Test

The purpose of this study was to determine the effect of Non Performance Loans (NPL) and Loan Deposit Ratio (LDR) on Return on Assets (ROA) at PT. Bank Rakyat Indonesia (Persero), Tbk. The sample in this study is the financial statements at PT. Bank Rakyat Indonesia (Persero), Tbk for the period 2010 to 2019 The data collection method uses the documentation method. The data analysis used is multiple linear regression, coefficient From the calculation of the multiple linear regression equation, it can be seen  that the results of the regression test: Y = 14.944– 1.072 X1 - 0.099X2. The coefficient of determination obtained is 0.846. This means that X1 (Non Performance Loan (NPL)) and X2 (Loan Deposit Ratio (LDR)) have an effect on Return on Assets (ROA) (Y) by 84.6% while the rest (100% - 84.6% = 15.4%) is influenced by other variables not examined in this study. The results of the t test show that there is a significant effect between NPL and LDR on Return on Assets (ROA) (Y) at PT. Bank Rakyat Indonesia (Persero), Tbk partially or separately The results of the F test show that there is a significant influence between NPL and LDR on Return on Assets (ROA) (Y) at PT. Bank Rakyat Indonesia (Persero), Tbk simultaneously or collectively.of determination and hypothesis testing.

scholarly journals Analysis of Consumer Purchasing Decisions through Product Quality and Promotion on Pam Pam Fried Chicken Products in the District of Pamulang, South Tangerang City

2020 ◽  
Vol 10 (1) ◽  
pp. 91
Author(s):  
Udin Ahidin
Keyword(s):  
Linear Regression ◽  
Product Quality ◽  
Regression Coefficient ◽  
Hypothesis Test ◽  
Test Reliability ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Purchasing Decisions ◽  
Linear Regression Coefficient ◽  
Regression Test

This study is to determine the effect of product quality partially on consumer purchasing decisions on Pam Pam Fried Chicken in Pamulang Subdistrict Area, to determine the effect of partial promotion on consumer purchasing decisions on Pam Pam Fried Chicken in Pamulang Subdistrict Area, to determine the effect of product quality and promotion together with consumer purchasing decisions on Pam Pam Fried Chicken in the Pamulang District Area, and to find out the company's efforts to improve consumer purchasing decisions on Pam Pam Fried Chicken in the Pamulang District Region .Quantitative associative research methods with a verification approach. The population in this study Pam-Pam Fried Chicken consumers amounted to 7,108 consumers in the District of Pamulang, while the sample taken was 100 respondents using the slovin formula, then a proportional random sampling was done because the research object contained 4 (four) branches. Collecting observational data, questionnaires and literature studies. The data analysis method uses validity test, reliability test, classic assumption test, simple linear regression test, multiple linear regression test, correlation coefficient test (product moment), determination coefficient test, hypothesis test (t-test and f-test) . The results showed that there was a positive and significant effect between product quality partially on purchasing decisions. It can be seen from the simple linear regression coefficient of 0.65. The coefficient of determination is 0.6%, t count 2.719> t table 1.984. There is a positive and significant influence between promotion partially on purchasing decisions. It can be seen from the simple linear regression coefficient of 0.32. The coefficient value of determination is 0.2, t count 2.112> t table 1.984.

scholarly journals Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects

2020 ◽  
Vol 110 (9) ◽  
pp. 2964-2996 ◽  
Author(s):  
Clément de Chaisemartin ◽  
Xavier D’Haultfœuille
Keyword(s):  
Linear Regression ◽  
Fixed Effects ◽  
Treatment Effects ◽  
Regression Coefficient ◽  
Weighted Sums ◽  
Linear Regression Coefficient ◽  
Heterogeneous Treatment Effects ◽  
Average Treatment Effects ◽  
Linear Regression Estimator ◽  
Linear Regressions

Linear regressions with period and group fixed effects are widely used to estimate treatment effects. We show that they estimate weighted sums of the average treatment effects (ATE ) in each group and period, with weights that may be negative. Due to the negative weights, the linear regression coefficient may for instance be negative while all the ATEs are positive. We propose another estimator that solves this issue. In the two applications we revisit, it is significantly different from the linear regression estimator. (JEL C21, C23, D72, J31, J51, L82)

scholarly journals Pengaruh Kreativitas dan Inovasi terhadap Kinerja Karyawan pada PT. Tohpati Grafika Utama Denpasar

Widya Amrita ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 1-13
Author(s):  
I Komang Indrajita ◽  
A.A Ngr. Gede Sadiartha ◽  
I Gede Aryana Mahayasa
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Human Resources ◽  
Regression Coefficient ◽  
Employee Performance ◽  
Coefficient Of Determination ◽  
Company Performance ◽  
Linear Regression Coefficient ◽  
Analysis Techniques ◽  
Creativity And Innovation

Employee performance is needed by the company to improve company performance. Therefore, to make it happen, it requires skilled and reliable human resources in their fields. This study aims to determine the effect of creativity and innovation partially and simultaneously on the performance of employees of PT. Tohpati Grafika Utama Denpasar. This research was conducted at PT. Tohpati Grafika Utama Denpasar. The sample used is the employees of PT. Tohpati Grafika Utama as many as 40 respondents. The data analysis techniques used in this study were validity, reliability, classical assumptions, multiple linear regression, coefficient of determination, t-test, and F-test. The results of the analysis show that creativity and innovation have a positive and significant effect partially and simultaneously on the performance of the employees of PT. Tohpati Grafika Utama Denpasar.

scholarly journals AGE DISTRIBUTION OF WRESTLERS PARTICIPATING IN THE WORLD CHAMPIONSHIPS

2021 ◽  
pp. 138-143
Author(s):  
Mykola Latyshev ◽  
Victor Shandrygos ◽  
Yrui Tropin ◽  
Olena Polianychko ◽  
Alfiia Deineko ◽  
...  
Keyword(s):  
Linear Regression ◽  
Regression Coefficient ◽  
Age Distribution ◽  
Competitive Performance ◽  
Linear Regression Coefficient ◽  
Weight Group ◽  
The World ◽  
And Gender

The age of peak competitive performance is particularly important as the entire sports career in each sport is planned on its basis. Depending on the sport and gender of the athlete, the age of peak competitive performance varies considerably. The objective of the study - to determine the age indicators of the wrestlers who participated in the World Championships, depending on the place taken and the weight group. We have studied 332 sports careers of the freestyle and Greko-Roman male wrestlers from 1st to 8th ranks who participated in the World Championships 2017, 2018 and 2019. The following indicators are analyzed: the average age, the average age of the international career start, the average age of first success and the proportion of athletes who achieved success at junior level. Results. The average age of the wrestlers is 26.5 ± 3.6 years: the medalists are slightly younger – 26.3 ± 3.4 years, and non-medalists are older than 26.7 ± 3.8 years. The analysis of the distribution of the age of peak competitive performance of athletes-medalists has shown the following results: there are 67.7 % of medalist among the athletes who are 22-28 years old, 11.8% among those who are younger than 23 years old and only 26.6% among those who are older than 28 years. More than half (53.4%) of medalists achieved success being juniors, while for non-medalists this proportion is only 38.2%. The linear regression coefficient between the age and the weight of athletes is positive and is equal to 0.47 kg per year. The results obtained on the medalists show that the period for achieving the peak competitive performance is limited and quite a few athletes can succeed beyond a certain period of age.

Impact of reperfusion pump power on technical and clinical outcomes after direct aspiration thrombectomy (ADAPT)

2019 ◽  
Vol 12 (6) ◽  
pp. 579-584
Author(s):  
Ali Alawieh ◽  
Reda Chalhoub ◽  
Clayton J Korson ◽  
Mohammad Anadani ◽  
Jonathan Lena ◽  
...  
Keyword(s):  
Linear Regression ◽  
Clinical Outcomes ◽  
Regression Coefficient ◽  
Inverse Correlation ◽  
Lower Number ◽  
Procedure Time ◽  
Linear Regression Coefficient ◽  
Aspiration Thrombectomy ◽  
Time Coefficient ◽  
Retrospective Database

IntroductionHigher aspiration forces using larger bore catheters in direct aspiration thrombectomy (ADAPT) have been associated with shorter procedure time and better outcomes in patients treated for acute ischemic stroke (AIS). However, the effect of using reperfusion pumps of higher aspiration power on outcomes of ADAPT has not been investigated. We evaluated the effect of using pumps with different aspiration powers on technical and clinical outcomes after ADAPT.MethodsWe reviewed a retrospective database of AIS cases between January 2018 and February 2019, while comparing technical and clinical outcomes between patients undergoing ADAPT using the MAX pump (28.5 inHg power) vs the ENGINE pump(29.2 inHg power).ResultsAmong 194 patients (48% females, age 69±15 years) included in the study, 73 patients undergoing ADAPT using the ENGINE pump were age-, gender-, comorbidities-, and operator-matched to 118 patients treated using the MAX pump. The ENGINE group had shorter procedure time (20±17 vs 27±21 mins, p=0.017), lower number of aspiration attempts (2.2±1.6 vs 2.8±1.9, p=0.047), and similar rates of favorable 90 day modified Rankin Scale. Using multivariate linear regression, the use of the ENGINE reperfusion pump with higher vacuum power was independently and inversely correlated with procedure time (coefficient −2.23, p=0.027). While controlling for confounders, there was a trend toward an inverse correlation between use of the ENGINE pump and the number of attempts on linear regression (coefficient −1.04, p=0.09) and lower odds of PH2/intracranial (ICH) hemorrhages on logistic regression (OR 0.227, p=0.075).ConclusionOur findings suggest that the use of the ENGINE reperfusion pump of higher aspiration power during ADAPT decreases procedure time, without increasing complications and post-procedural hemorrhage rates.

scholarly journals Adsorption of Cu (II) on the Surface of Nonconventional Biomass: A Study on Forced Convective Mass Transfer in Packed Bed Column

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Vishal Mishra ◽  
Chandrajit Balomajumder ◽  
Vijay Kumar Agarwal
Keyword(s):  
Linear Regression ◽  
Goodness Of Fit ◽  
Regression Coefficient ◽  
Statistical Error ◽  
Packed Bed ◽  
Packed Bed Reactor ◽  
Isotherm Models ◽  
Thomas Model ◽  
Linear Regression Coefficient ◽  
Error Functions

The present investigation has dealt with the adsorption of Cu (II) across liquid phase on the nonconventional adsorbent. The nonconventional adsorbent used in the present work was Cedrus deodara sawdust obtained from local carpenter's shop. The maximum uptake capacities of Copper (II) ions at saturation and breakthrough point were 55.63 mg/g and 53.18 mg/g for an initial concentration of 93 mg/L of copper, respectively. The fitting of the experimental data in Langmuir, Freundlich, and Temkin isotherm models indicated the suitability of Langmuir isotherm in terms of very low statistical error functions that is, χ2 and sum of square errors (SSE) and higher values of (R2) linear regression coefficient. The goodness of fit of the breakthrough curve in Bohardt-Adams, Wolborska, Modified dose response, and Thomas model indicated the suitability of Thomas model with higher linear regression coefficient and lower values of statistical error functions. The flow rate and bed height affected the hydrodynamic parameters of the packed bed reactor significantly.

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