The Multi-sample Block-matrix Sphericity Test

Author(s):  
Filipe J. Marques ◽  
Carlos A. Coelho ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
Ch. Tsitouras ◽  
...  
Keyword(s):  
GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 133-145
Author(s):  
Dr. S. S. Nirmala ◽  
Dr. N. Kogila ◽  
T. Porkodi

The present study is focusing on the professional stress on organisation among the Junior Commissioned Officers (JCOs) and Non-Commissioned Officers (NCOs) of Indian Military Intelligence. 384 samples of Military Intelligence personnel will be taken for this study. Sources of data is Primary data include a structured questionnaire. Data was collected through structured questionnaire and measure through Likert’s scale, using KMO measure of sampling adequacy, Cronbach’s alpha for checking internal consistency, Bartlett sphericity test for testing the null hypothesis and various factor analysis including Eigenvalues, Extract square Sum loading, variance percent and Accumulation percent values relative comparison and Correlation matrix will be used as tools to arrive at desired results and statistical interpretations. The hypotheses put for test and the resultant values at 0.01 and 0.05 (for different factors) clearly indicated that there is an existence of association between different level of cadres and professional stress among personnel of Indian Military Intelligence. The authority who can formulate the rules and regulations and binding them on the lower cadres and professions to accept and adopt.


2021 ◽  
Vol 94 ◽  
pp. 780-790
Author(s):  
Biliang Cheng ◽  
Huping Mao ◽  
Quan Sun ◽  
Feng Jia ◽  
Peng Zhang

2020 ◽  
Vol 27 (2) ◽  
pp. 297-305
Author(s):  
Dijana Mosić

AbstractWe present the conditions for a block matrix of a ring to have the image-kernel{(p,q)}-inverse in the generalized Banachiewicz–Schur form. We give representations for the image-kernel inverses of the sum and the product of two block matrices. Some characterizations of the image-kernel{(p,q)}-inverse in a ring with involution are investigated too.


2021 ◽  
Vol 402 ◽  
pp. 126121
Author(s):  
Mohammed Al Mugahwi ◽  
Omar De La Cruz Cabrera ◽  
Caterina Fenu ◽  
Lothar Reichel ◽  
Giuseppe Rodriguez

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Spencer C. H. Kuo ◽  
Faye Huang ◽  
Shun-Yu Chi ◽  
Hui-Ping Lin ◽  
Peng-Chen Chien ◽  
...  

Abstract Background During clinical practice we have noticed that some patients with hyperthyroidism have finer skin with less wrinkles, pores, and spots after thyroidectomy, and the improvement can be observed within a few weeks after the operation. However, there is no evidence or study in the literature to proof this finding. Aim and objective This study was designed to evaluate and quantify the skin characters of patients with hyperthyroidism before and after thyroidectomy. Material and methods This is a prospective study to include patients with hyperthyroidism who received total thyroidectomy between March 1st, 2018 and February 28th, 2019. The patients received blood test for T4 and TSH analysis and VISIA measurements for skin texture quantification, at the preoperative stage, three, and six months postoperatively. A total of 8 patients were included. Repeated measurement was used to determine the lab data and VISIA measurement changes before and after the operation. Mauchly’s sphericity test was performed to determine whether the violation of sphericity occurs, and the Greenhouse–Geisser correction was used when the violation of sphericity occurs. Results All the patients were female and generally healthy without systemic medical disease except the hyperthyroidism. The T4 and TSH levels were not significantly different before and after the thyroidectomy. In terms of the skin character measurements, the wrinkles, texture, pores, UV spots, and brown spots were not improved after thyroidectomy. A trend of improvement in spots, red area, and porphyrin was noted, although not statistically significant. Conclusions Surgical removal of the thyroid gland in patients with hyperthyroidism does not improve the skin quality and texture in examinations via the VISIA system.


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