The grid rotation method and its application to the glove sizing system

2012 ◽  
pp. n/a-n/a
Author(s):  
Cheol Lee ◽  
Jeonghoon Mo ◽  
Soeui Shin ◽  
Kyungsik Lee
Keyword(s):  
Rotation Method ◽  
Sizing System

SHOE SIZING SYSTEM FOR MALAYSIAN YOUTH SOCCER PLAYERS: A PRELIMINARY STUDY ON THE FOOT ANTHROPOMETRY

2014 ◽  
Author(s):  
Zahari Taha ◽  
◽  
Mohd Azri Aris ◽  
Mohd Hasnun Arif Hassan ◽  
Anwar PP Abdul Majeed ◽  
...  
Keyword(s):  
Soccer Players ◽  
Youth Soccer ◽  
Sizing System ◽  
Preliminary Study

Variants of the Varimax Rotation Method

1984 ◽  
Vol 26 (7) ◽  
pp. 741-748 ◽  
Author(s):  
E. Frankel
Keyword(s):  
Varimax Rotation ◽  
Rotation Method

scholarly journals A note on singular integrals with angular integrability

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Feng Liu
Keyword(s):  
Singular Integral ◽  
Singular Integrals ◽  
Function Spaces ◽  
Riesz Transforms ◽  
Hilbert Transforms ◽  
Rotation Method ◽  
Vector Valued Function ◽  
Vector Valued ◽  
L Log L

Abstract In this note we study the rough singular integral $$ T_{\varOmega }f(x)=\mathrm{p.v.} \int _{\mathbb{R}^{n}}f(x-y)\frac{\varOmega (y/ \vert y \vert )}{ \vert y \vert ^{n}}\,dy, $$ T Ω f ( x ) = p . v . ∫ R n f ( x − y ) Ω ( y / | y | ) | y | n d y , where $n\geq 2$ n ≥ 2 and Ω is a function in $L\log L(\mathrm{S} ^{n-1})$ L log L ( S n − 1 ) with vanishing integral. We prove that $T_{\varOmega }$ T Ω is bounded on the mixed radial-angular spaces $L_{|x|}^{p}L_{\theta }^{\tilde{p}}( \mathbb{R}^{n})$ L | x | p L θ p ˜ ( R n ) , on the vector-valued mixed radial-angular spaces $L_{|x|}^{p}L_{\theta }^{\tilde{p}}(\mathbb{R}^{n},\ell ^{\tilde{p}})$ L | x | p L θ p ˜ ( R n , ℓ p ˜ ) and on the vector-valued function spaces $L^{p}(\mathbb{R}^{n}, \ell ^{\tilde{p}})$ L p ( R n , ℓ p ˜ ) if $1<\tilde{p}\leq p<\tilde{p}n/(n-1)$ 1 < p ˜ ≤ p < p ˜ n / ( n − 1 ) or $\tilde{p}n/(\tilde{p}+n-1)< p\leq \tilde{p}<\infty $ p ˜ n / ( p ˜ + n − 1 ) < p ≤ p ˜ < ∞ . The same conclusions hold for the well-known Riesz transforms and directional Hilbert transforms. It should be pointed out that our proof is based on the Calderón–Zygmund’s rotation method.

Perturbative calculation of the ac Stark effect by the complex rotation method

1991 ◽  
Vol 43 (11) ◽  
pp. 6272-6283 ◽  
Author(s):  
Liwen Pan ◽  
K. T. Taylor ◽  
Charles W. Clark
Keyword(s):  
Stark Effect ◽  
Perturbative Calculation ◽  
Complex Rotation ◽  
Rotation Method ◽  
Ac Stark Effect

An 11-bit 160-MS/s 1.35-V 10-mW D/A converter using automated device sizing system

2005 ◽  
Author(s):  
Osamu Matsumoto ◽  
Hisashi Harada ◽  
Yasuo Morimoto ◽  
Toshio Kumamoto ◽  
Takahiro Miki ◽  
...  
Keyword(s):  
Sizing System

Growth of corundum single crystals by seed rotation method

1981 ◽  
Vol 54 (3) ◽  
pp. 381-393 ◽  
Author(s):  
Koichi Watanabe ◽  
Akio Iida ◽  
Yoshihiro Sumiyoshi
Keyword(s):  
Single Crystals ◽  
Rotation Method

Factor Analysis of Students’ Exposure to Social Media for Food and Beverage

2021 ◽  
Vol 8 (2) ◽  
pp. 113-118
Author(s):  
Noora Shrestha
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Data Set ◽  
Factors Associated ◽  
Rotation Method ◽  
The Social ◽  
Food And Beverage ◽  
Social Media Platforms ◽  
Strongly Agree ◽  
Self Administered Questionnaire

Food and beverage marketing on social media is a powerful factor to influence students’ exposure to social media and application for food and beverage. It is a well-known fact that most of the food and beverage business target young people on the social media. The objective of the study is to identify the factors associated to the students’ exposure in the social media platforms for food and beverage. The young students between the ages 20 to 26 years completed a self-administered questionnaire survey on their media use for food and beverages. The questionnaire was prepared using Likert scale with five options from strongly agree to strongly disagree. The data set was described with descriptive statistics such as mean and standard deviation. The exploratory factor analysis with varimax rotation method was used to extract the factors. The most popular social media among the respondents were Facebook, Instagram, and You Tube. 73.3% of the students were exposed to food and beverage application in their mobile device and 76% of them followed the popular food and beverage pages in social media. The result revealed that social media posts, promotional offer, and hygienic concept have positively influenced majority of the students’ exposure to social media for food and beverage. Keywords: Factor analysis, Social Media, Food and Beverage, Student, Promotional Offer.

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