scholarly journals Evaluation and Analysis Model of Wine Quality Based on Mathematical Model

2018 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
Yunhui Zeng ◽  
Yingxia Liu ◽  
Lubin Wu ◽  
Hanjiang Dong ◽  
Yuanbiao Zhang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Chemical Properties ◽  
Principal Component ◽  
White Wine ◽  
Analysis Model ◽  
Wine Quality ◽  
Analysis And Evaluation ◽  
Chemical Indicators ◽  
Significant Difference

This paper takes wine quality evaluation as the research object, establishes the analysis and evaluation model of wine quality, and explores the influence of physical with chemical indicators of wine grapes and wine on the wine quality. Firstly, the Mann-Whitney U test is used to analyze the wine evaluation results of the two wine tasters, and it is found that the significant difference between the two is small. Then this paper uses the Cronbach Alpha coefficient method to analyze the credibility of the two groups of data. It is found that the credibility of the first group of wine scores is significantly greater than that of the second group and the white wine scores are more reliable than the red wine. Therefore, the first set of data and white wine can be applied for follow-up studies. Next, the principal component analysis is used to extract the main indicators and calculate the factor coefficients as the Ward method in cluster analysis is used to classify the wine into four grades according to the quality score of the wine. Then, based on the extracted principal components that is physical with chemical indicators, this paper does the multiple linear regression analysis of wine quality, and takes the influence of aromatic substances on the aroma of wine in physical with chemical indicators as an example. Regression analysis shows that there is a positive correlation linear relationship between the scores of the aroma of wine and C2H6O, C6H12O2, C3H8O, C11H24, C7H12O2, C5H10O2 and C10H16. It can be judged that the aromatic substances in the wine such as C2H6O have a regular influence on the odor of the wine, and it is inferred that other physical and chemical properties have a similar regular relationship with the wine quality. This provides an effective reference for the analysis and evaluation of wine quality by using physical with chemical indicators such as aromatic substances in wine in the future.

scholarly journals EFFECT OF COMPANY VALUE, LEVERAGE, AND COMPANY SIZE ON PROFIT PERSISTENCE IN JAKARTA ISLAMIC INDEX (JII) LISTED COMPANIES

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Budi Prasetyo ◽  
Satiti Utami ◽  
Alwazir Abdusshomad ◽  
Mukti Wijaya ◽  
Nawang Kalbuana
Keyword(s):  
Regression Analysis ◽  
Firm Value ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Earnings Persistence ◽  
Company Size ◽  
Analysis Model ◽  
Company Value

The purpose of this study was to determine the effect of Company Value, Leverage, and Company Size on Earnings Persistence in Companies Listed in the Jakarta Islamic Index (JII). Data obtained from the page www.idnfinancial.com. The data in this study are secondary data. The approach used in this research is a quantitative approach. Sampling technique using purposive sampling technique and data analysis using multiple linear regression analysis. Samples that fit the criteria were obtained by 23 companies during the 2015-2019 observation period. Then the data were analyzed using the SPSS data regression analysis model.26.0 The results showed that firm value had no significant effect on earnings persistence, leverage and firm size had a significant effect on earnings persistence on companies listed on the Jakarta Islamic Index (JII) for the 2015-2019 period.

scholarly journals Effect of platelet-rich plasma on the degenerative rotator cuff tendinopathy according to the compositions

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Sang Jun Kim ◽  
Seung Mi Yeo ◽  
Soo Jin Noh ◽  
Chul-Won Ha ◽  
Byung Chan Lee ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Rotator Cuff ◽  
Linear Regression ◽  
Platelet Rich Plasma ◽  
Linear Regression Analysis ◽  
Significant Group ◽  
Meaningful Improvement ◽  
Cutoff Value ◽  
Significant Difference ◽  
Tgf Β1

Abstract Background There are controversies about platelet-rich plasma (PRP) as an established treatment option for rotator cuff (RC) tendinopathy. The purpose of the study was to find the relation of cellular component with clinical efficacy in RC tendinopathy and to find the composition of PRP in treating RC tendinopathy. Methods A total 30 patients were recruited and divided into PRP and control groups. In the PRP group, 2 ml of PRP solution was injected to the hypoechoic lesion of degenerative supraspinatus via 22-gauge syringe with peppering technique. Patients in the control group were taught rotator cuff strengthening exercises. American Shoulder and Elbow Surgeons (ASES), Constant-Murley score, and numeric rating scale (NRS) were measured before, 6 weeks after, 12 weeks after, and 24 weeks after the procedure. PRP compositions were analyzed using the 1 ml of PRP solution. Results Linear regression analysis showed no significant difference of ASES and Constant-Murley scores between the groups at 6 weeks (P = 0.582 and 0.258) and at 12 weeks (P = 0.969 and 0.795) but showed a significant difference at 24 weeks (P = 0.050 and 0.048). Independent t test showed significant group difference of NRS at 6 weeks (P = 0.031) but not at 12 and 24 weeks (P = 0.147 and 0.935). 5.19 pg/ml in IL-1β and 61.79 μg/ml in TGF-β1 were acquired as cutoff values to predict meaningful improvement. The PRP subgroup above IL-1β or TGF-β1 cutoff value showed significant differences in all clinical outcomes compared with the exercise group while the PRP subgroup below the cutoff value showed no significant differences in linear regression analysis. Conclusions Our study can help to find the optimal PRP condition and to enhance the effect of PRP on RC tendinopathy. Trial registration All the patients were registered in our Institutional Ethics Committee (approval number 2014-05-009).

Salinity and climatic effects on the yields of citrus

1985 ◽  
Vol 25 (3) ◽  
pp. 711 ◽  
Author(s):  
PJ Cole ◽  
PI McCloud
Keyword(s):  
Regression Analysis ◽  
High Temperatures ◽  
Fruit Set ◽  
Yield Loss ◽  
Linear Regression Analysis ◽  
Principal Component ◽  
Multiple Linear Regression Analysis ◽  
Significant Variable ◽  
Irrigation Season ◽  
Climatic Effects

A multiple linear regression analysis of salinity and climate against yield of Valencia and Washington Navel Oranges was performed for the period 1945-79 on data from irrigated orchards in Sunraysia, Berri, Waikerie and Mypolonga. Principal component analysis was utilized to reduce the number of climatic variables introduced into the multiple regression analysis. High temperatures and high evaporation during flowering and fruit set (November and December) were associated with reduced yields in Sunraysia, Berri and Waikerie, possibly by increasing flower and fruit drop, and by reducing fruit set. At Mypolonga, the coolest location studied, high temperatures were associated with increased yields. Salinity was negatively associated with yield at Mypolonga, Waikerie and Berri, the locations of highest salinity. No effects were observed at Sunraysia. It was not possible to deduce a critical level of salinity in irrigation water that is associated with yield loss or the magnitude of yield loss from the statistical analyses. However, we did observe that salinity during the irrigation season prior to harvest was associated with decreased yields, while only at Mypolonga was salinity in the year of harvest a significant variable in the analyses.

Model of nitrogen management on farms specializing in livestock production

2013 ◽  
Vol 64 (2) ◽  
pp. 60-66
Author(s):  
Magdalena Szymańska ◽  
Ewa Szara ◽  
Marian Korc ◽  
Jan Labętowicz
Keyword(s):  
Regression Analysis ◽  
Animal Feed ◽  
Linear Regression Analysis ◽  
Farmyard Manure ◽  
Multiple Linear Regression Analysis ◽  
Livestock Production ◽  
Nitrogen Management ◽  
Analysis Model ◽  
Animal Products ◽  
The Relationship

Abstract The aim of this study was to determine the relationship between the efficiency of agricultural production and selected parameters of farms and data describing the flow of nutrients on the farms. An analysis model was developed for nitrogen management on farms specializing in livestock production. The study was conducted on 20 farms located in 12 municipalities of the Mazowieckie province in central Poland in 2009.2012. The model was developed using multiple linear regression analysis in accordance with the backward stepwise method. Based on the regression analysis, the farm parameters that did not determine the dependent variable were eliminated. In the end, there were 10 independent variables included in the model. The model indicates that the efficiency of nitrogen management, expressed in cereal units per 1 kg of nitrogen (CU·kg-1 N), is significantly affected by: crop rotation, the demand for purchasing animal feed, the intensity of livestock production, the nitrogen content of farmyard manure, the nitrogen doses applied in mineral and natural fertilizers, and nitrogen outflow from farms with the sale of plant and animal products. The developed model explains 70% of the variation in the coefficient of efficiency expressed in cereal units per 1 kg N.

scholarly journals MASYARAKAT BELI PRODUK ROTI TERNAMA KARENA CITRA TOKO ATAU KUALITAS PELAYANAN?

2020 ◽  
Vol 7 (1) ◽  
pp. 24-32
Author(s):  
Iman Sidik Nusannas
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Store Image ◽  
Sampling Techniques ◽  
Analysis Model ◽  
Descriptive Method

The study was to determine the effect of Store Image and Service Quality on Consumer Buying Interest at a famous bakery at Purwakarta. The datas taken from respondents that was questionnaired to 96 respondents with Non Probability Sampling techniques. The research method used is descriptive method which is a method that is done by collecting, presenting and analyzing data so as to provide a clear enough picture of the object under study. This study uses a multiple linear regression analysis model with the help of IBM SPSS 21 program. The results of this study indicate that the variables of Store Image and Service Quality have a positive and significant effect on Consumer Interest in a famous bakery at  Purwakarta.

scholarly journals Comparison of [18F] NaF PET/CT Analysis Methods and Derivation of a Semi-population Input Function for Site Specific Measurements of Bone Formation in a Population With Chronic Kidney Disease Mineral and Bone Disorder

2021 ◽  
Author(s):  
Marie Houmaa Vrist ◽  
Jesper Nørgaard Bech ◽  
Thomas Guldager Lauridsen ◽  
Claire Anne Fynbo ◽  
Jørn Theil
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Input Function ◽  
Mineral And Bone Disorder ◽  
Pet Ct ◽  
Significant Difference ◽  
Bone Disorder ◽  
Non Linear ◽  
Patlak Analysis

Abstract PurposeImplementation and comparison of non-invasive dynamic and static whole-body (WB) [18F]NaF PET/CT scan methods to replace invasive bone biopsy, used for quantitative analysis of bone clearance in patients with chronic kidney disease - mineral and bone disorder (CKD-MBD).MethodsSeventeen patients with CKD-MBD underwent a 60-minute dynamic scan followed by a 30-minute static WB scan. Tracer kinetics in four thoracic vertebrae were analyzed using non-linear regression and Patlak analysis using image-derived arterial input functions. We validated the use of a semi-population input function in this population.ResultsSkeletal plasma clearance (Ki) from Patlak analyses correlated well with non-linear regression analysis, but Ki-results using Patlak analysis were lower compared to Ki-results using non-linear regression analysis. However, no significant difference was found between Ki obtained by static WB scans and Ki obtained by dynamic scans using non-linear regression analysis (p=0.29). ConclusionOur results show good correlation between dynamic and static analysis of skeletal plasma clearance with no significant difference between the Ki-results obtained by non-linear regression analysis and the more clinically suitable static scan analysis method. We found lower Ki-results when Patlak analysis was applied. Thus, WB [18F]NaF PET/CT scans can be applied in future studies to measure Ki in CKD-BMD patients, but the results should not be compared uncritically with results obtained by dynamic scans analysis.

scholarly journals Effect of Irrigation on the Changes in Wetland Rice Productivity (Oryza Sativa L.) due to a Climate Change in North Sumatra Province

2018 ◽  
Vol 1 (1) ◽  
pp. 51-57
Author(s):  
Hasbul Hadi ◽  
Diana Chalil
Keyword(s):  
Climate Change ◽  
Regression Analysis ◽  
Agricultural Sector ◽  
Regression Coefficient ◽  
Oryza Sativa L ◽  
Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Analysis Model ◽  
Irrigation Area ◽  
North Sumatra

Climate change is one of serious threats to the agricultural sector. In North Sumatra Province, climate change is characterized by shorter rainy season with higher rainfall. To overcome such climate change, it is necessary to provide irrigation that can accommodate excessive rain water and distribute it in times of shortage. Therefore, changes in rainfall will not be too influential on productivity. This is especially important for plants that need a lot of water like rice. To analyze the influence of irrigation in North Sumatra Province, the data were collected from 27 regencies/cities in 2011 – 2015 and were analyzed using a Simple Linear Regression analysis model. The estimation results show that irrigation can push the productivity variances. The irrigation regression coefficient of -0.133432 shows that each increase of irrigation area by 1% will decrease the productivity variation by 0.13 tons/ha

scholarly journals ANALISIS PRILAKU KONSUMSI MUSLIM PADA BULAN RAMADHAN

2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Hareastoma Hareastoma
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Consumption Patterns ◽  
Coefficient Of Determination ◽  
Analysis Model ◽  
Factors Influencing

This study aims to analyze the patterns of Muslim consumption behaviors in the Ramadhan month around Jambi. A multiple linear regression analysis model is used to see the factors influencing the consumption behaviors. The finding shows that cultural and religiosity variables are the dominant factors influencing the pattern of Muslim consumption behaviors in the Ramadhan month. From the statistic results of SPSS verse 22, it was found the coefficient of determination (adjusted R2) obtained at 0.164. (16.4%). It reflects that 16.4% of consumption patterns influencing by the Cultural, Social, Religiusity and Psychology variables while the remaining 83.6% consumption patterns are influenced by unnecessary variables in this research.

scholarly journals Effect of Substrate Stiffness on Physicochemical Properties of Normal and Fibrotic Lung Fibroblasts

Materials ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 4495
Author(s):  
Joanna Raczkowska ◽  
Barbara Orzechowska ◽  
Sabina Patryas ◽  
Kamil Awsiuk ◽  
Andrzej Kubiak ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Physicochemical Properties ◽  
Chemical Properties ◽  
Principal Component ◽  
Lung Fibroblasts ◽  
Substrate Stiffness ◽  
Significant Difference ◽  
The Impact

The presented research aims to verify whether physicochemical properties of lung fibroblasts, modified by substrate stiffness, can be used to discriminate between normal and fibrotic cells from idiopathic pulmonary fibrosis (IPF). The impact of polydimethylsiloxane (PDMS) substrate stiffness on the physicochemical properties of normal (LL24) and IPF-derived lung fibroblasts (LL97A) was examined in detail. The growth and elasticity of cells were assessed using fluorescence microscopy and atomic force microscopy working in force spectroscopy mode, respectively. The number of fibroblasts, as well as their shape and the arrangement, strongly depends on the mechanical properties of the substrate. Moreover, normal fibroblasts remain more rigid as compared to their fibrotic counterparts, which may indicate the impairments of IPF-derived fibroblasts induced by the fibrosis process. The chemical properties of normal and IPF-derived lung fibroblasts inspected using time-of-flight secondary ion mass spectrometry, and analyzed complexly with principal component analysis (PCA), show a significant difference in the distribution of cholesterol and phospholipids. Based on the observed distinctions between healthy and fibrotic cells, the mechanical properties of cells may serve as prospective diagnostic biomarkers enabling fast and reliable identification of idiopathic pulmonary fibrosis (IPF).

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