scholarly journals Grape pre-evaluation by berry-leaf biochemistry quantitative correlation analysis

2015 ◽  
Vol 10 (50) ◽  
pp. 4543-4553 ◽  
Author(s):  
Ma Miandi ◽  
Yang Yong ◽  
Zhang Hanbo ◽  
Yuan Mingquan ◽  
Zhu Wei ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Quantitative Correlation ◽  
Leaf Biochemistry

scholarly journals EYE AND FOOT COORDINATION CONTRIBUTION ON PASSING SKILLS IN FUTSAL ATLET AT SDIT IQRA BENGKULU

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Desrio Windoro
Keyword(s):  
Data Analysis ◽  
Correlation Analysis ◽  
Significant Relationship ◽  
Correlation Method ◽  
Homogeneity Test ◽  
Positive Contribution ◽  
Significance Level ◽  
Practice Test ◽  
Quantitative Correlation ◽  
Normality Test

<p><em>Futsal is one of the most popular extracurricular by students at SDIT IQRA1 of Bengkulu City. This study aims to determine the contribution of eyes and feet coordination towards basic passing skills on futsal athletes at SDIT IQRA 1 of Bengkulu City. The method used in this study is quantitative correlation method. Population in this study is all students of sport futsal extracurricular while the sample is 20 students. The instruments in this study are test of Soccer Wall Volley Test from Barry L. Johnson and to  measure the passing skill by using passing practice test. Prerequisite data analysis used is normality test with Lilliefors, homogeneity test and contribution test. The data analysis used is Product Moment Correlation analysis with 5% significance level. Based on the results of the study, it is found that (1) there is a significant relationship between coordination of eyes and feet (X) to the accuracy of the passing indicated by r count = 0.90977 &gt; r <sub>(0.05) (20</sub>) = 0.444. (2) There is a strong positive contribution of 82.768% between eyes and feet coordination (X) towards passing skill (Y) on futsal athletes at SDIT IQRA 1 of Bengkulu City.</em></p>

Quantitative Study on the Relation between Water Disaster and Grain Production of Hubei Province

2012 ◽  
Vol 424-425 ◽  
pp. 403-409 ◽  
Author(s):  
Tao Li ◽  
Xue Lei Wang ◽  
Wei Wen ◽  
En Hua Li
Keyword(s):  
Correlation Analysis ◽  
Grain Yield ◽  
Quantitative Study ◽  
Grain Production ◽  
Grey Correlation ◽  
Quantitative Correlation ◽  
Irrigated Area ◽  
Grey Correlation Analysis ◽  
The Relationship ◽  
Water Disaster

The grain fluctuation situation of Hubei was analyzed by calculating the grain fluctuation coefficient from 1990s. And the quantitative correlation between grain production and the water disaster was studied by grey correlation analysis. The results were shown as follows. The main water disaster factors impacting grain production were effective irrigated area and planting structure, the relationship degree of which with grain yield is respectively 0.91 and 0.85 ranking the first two among all the selected factors. It was shown that water disaster influenced the grain yield heavily

scholarly journals Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis

2019 ◽  
Author(s):  
Vishesh Sarin ◽  
Katharine Yu ◽  
Ian D. Ferguson ◽  
Olivia Gugliemini ◽  
Matthew A. Nix ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Correlation Analysis ◽  
Cell Lines ◽  
Large Scale ◽  
Myeloma Cell ◽  
Multiple Myeloma Cell ◽  
Quantitative Correlation ◽  
Immunocompromised Mice ◽  
Rpmi 8226 ◽  
Biological Differences

AbstractMultiple myeloma (MM) cell lines are routinely used to model the disease. However, a long-standing question is how well these cell lines truly represent tumor cells in patients. Here, we employ a recently-described method of transcriptional correlation profiling to compare similarity of 66 MM cell lines to 779 newly-diagnosed MM patient tumors. We found that individual MM lines differ significantly with respect to patient tumor representation, with median R ranging from 0.35-0.54. ANBL-6 was the “best” line, markedly exceeding all others (p < 2.2e-16). Notably, some widely-used cell lines (RPMI-8226, U-266) scored poorly in our patient similarity ranking (48 and 52 of 66, respectively). Lines cultured with interleukin-6 showed significantly improved correlations with patient tumor (p = 9.5e-4). When common MM genomic features were matched between cell lines and patients, only t(4;14) and t(14;16) led to increased transcriptional correlation. To demonstrate utility of our top-ranked line for preclinical studies, we showed that intravenously-implanted ANBL-6 proliferates in hematopoietic organs in immunocompromised mice. Overall, our large-scale quantitative correlation analysis, utilizing emerging datasets, provides a resource informing the MM community of cell lines that may be most reliable for modeling patient disease while also elucidating biological differences between cell lines and tumors.

scholarly journals Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis

Leukemia ◽  
2020 ◽  
Vol 34 (10) ◽  
pp. 2754-2765 ◽  
Author(s):  
Vishesh Sarin ◽  
Katharine Yu ◽  
Ian D. Ferguson ◽  
Olivia Gugliemini ◽  
Matthew A. Nix ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Correlation Analysis ◽  
Cell Lines ◽  
Large Scale ◽  
Myeloma Cell ◽  
Multiple Myeloma Cell ◽  
Quantitative Correlation ◽  
Immunocompromised Mice ◽  
Rpmi 8226 ◽  
Biological Differences

Abstract Multiple myeloma (MM) cell lines are routinely used to model the disease. However, a long-standing question is how well these cell lines truly represent tumor cells in patients. Here, we employ a recently described method of transcriptional correlation profiling to compare similarity of 66 MM cell lines to 779 newly diagnosed MM patient tumors. We found that individual MM lines differ significantly with respect to patient tumor representation, with median R ranging from 0.35 to 0.54. ANBL-6 was the “best” line, markedly exceeding all others (p < 2.2e−16). Notably, some widely used cell lines (RPMI-8226, U-266) scored poorly in our patient similarity ranking (48 and 52 of 66, respectively). Lines cultured with interleukin-6 showed significantly improved correlations with patient tumor (p = 9.5e−4). When common MM genomic features were matched between cell lines and patients, only t(4;14) and t(14;16) led to increased transcriptional correlation. To demonstrate the utility of our top-ranked line for preclinical studies, we showed that intravenously implanted ANBL-6 proliferates in hematopoietic organs in immunocompromised mice. Overall, our large-scale quantitative correlation analysis, utilizing emerging datasets, provides a resource informing the MM community of cell lines that may be most reliable for modeling patient disease while also elucidating biological differences between cell lines and tumors.

Microdensitometer—computer correlation analysis of ultrastructural periodicity

1978 ◽  
Vol 36 (2) ◽  
pp. 32-33
Author(s):  
D.R. Ensor ◽  
C.G. Jensen ◽  
J.A. Fillery ◽  
R.J.K. Baker
Keyword(s):  
Correlation Analysis ◽  
Background Noise ◽  
Computer Control ◽  
Optical Diffraction ◽  
Screw Thread ◽  
Straight Line ◽  
Computer Storage ◽  
Correlation Process ◽  
Electron Microscope Image ◽  
Fixed Beam

Because periodicity is a major indicator of structural organisation numerous methods have been devised to demonstrate periodicity masked by background “noise” in the electron microscope image (e.g. photographic image reinforcement, Markham et al, 1964; optical diffraction techniques, Horne, 1977; McIntosh,1974). Computer correlation analysis of a densitometer tracing provides another means of minimising "noise". The correlation process uncovers periodic information by cancelling random elements. The technique is easily executed, the results are readily interpreted and the computer removes tedium, lends accuracy and assists in impartiality.A scanning densitometer was adapted to allow computer control of the scan and to give direct computer storage of the data. A photographic transparency of the image to be scanned is mounted on a stage coupled directly to an accurate screw thread driven by a stepping motor. The stage is moved so that the fixed beam of the densitometer (which is directed normal to the transparency) traces a straight line along the structure of interest in the image.

The German Strengths and Difficulties Questionnaire (SDQ)

2010 ◽  
Vol 26 (4) ◽  
pp. 256-262 ◽  
Author(s):  
Ulrike Petermann ◽  
Franz Petermann ◽  
Ina Schreyer
Keyword(s):  
Correlation Analysis ◽  
Teacher Ratings ◽  
Screening Instrument ◽  
Preschool Age ◽  
Strengths And Difficulties Questionnaire ◽  
Preschool Age Children ◽  
Discriminant Analyses ◽  
Strengths And Difficulties ◽  
Behavioral Attributes ◽  
And Behavior

The Strengths and Difficulties Questionnaire (SDQ) is a screening instrument that addresses positive and negative behavioral attributes of children and adolescents. Although this questionnaire has been used in Germany to gather information from parents and teachers of preschoolers, few studies exist that verify the validity of the German SDQ for this age. In the present study, teacher ratings were collected for 282 children aged 36 to 60 months (boys = 156; girls = 126). Likewise, teacher ratings were collected with another German checklist for behavior problems and behavior disorders at preschool age (Verhaltensbeurteilungsbogen für Vorschulkinder, VBV 3–6). Moreover, children’s developmental status was assessed. Evaluation included correlation analysis as well as canonical correlation analysis to assess the multivariate relationship between the set of SDQ variables and the set of VBV variables. Discriminant analyses were used to clarify which SDQ variables are useful to differentiate between children with or without developmental delay in a multivariate model. The results of correlation and discriminant analyses underline the validity of the SDQ for preschoolers. According to these results, the German teacher SDQ is recommended as a convenient and valid screening instrument to assess positive and negative behavior of preschool age children.

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