function transformation
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2022 ◽  
pp. 134665
Author(s):  
Hyemin Lee ◽  
Yoon Ji Seo ◽  
Jaekyoung Kim ◽  
Myung Jun Bae ◽  
Seokhoon Hwang ◽  
...  

2021 ◽  
Author(s):  
Bienvenue Depelair ◽  
Alphonse Houwe ◽  
Hadi Rezazadeh ◽  
Ahmet Bekir ◽  
Mama Nsangou ◽  
...  

Abstract This paper applies function transformation method to obtain under certain conditions bright, dark, kink and W-shaped dark solitons waves solutions to the modified complex Ginzburg Landau Equation (CGLE). These new obtained solutions can be useful in many applications such as communication, medicine, hydrodynamic, thermodynamic just to name a few and can allow to explain physical phenomena.


2021 ◽  
Vol 19 (4) ◽  
pp. 741-754
Author(s):  
Jinpu Zhang ◽  
Guozhong Cao ◽  
Qingjin Peng ◽  
Runhua Tan ◽  
Huangao Zheng

2021 ◽  
Author(s):  
Jinpu Zhang ◽  
Guozhong Cao ◽  
Qingjin Peng ◽  
Runhua Tan ◽  
Huangao Zhang

Author(s):  
Anna Wiedemann ◽  
Manuel Wiesche ◽  
Heiko Gewald ◽  
Helmut Krcmar

In today's fast-changing environment, many organizations are applying the DevOps (Development and Operations) concept to transform their IT functions and establish cross-functional IT teams to deliver software services quickly, reliably, and safely with end-to-end responsibility. The results of an empirical study on which this chapter is based presents platform-oriented, application-oriented, and mobile-oriented DevOps setups, outlining areas of potential collaboration between these DevOps setups and the importance of aligning the aims of development (process agility) and operations (process rigor). Based on the study, six indicators of successful DevOps integration formulated as recommendations for successful IT function transformation were identified.


2021 ◽  
Vol 20 ◽  
pp. 153303382110363
Author(s):  
Lixun Xian ◽  
Guangjun Li ◽  
Qing Xiao ◽  
Zhibin Li ◽  
Xiangbin Zhang ◽  
...  

Purpose: In radiotherapy, geometric indices are often used to evaluate the accuracy of contouring. However, the ability of geometric indices to identify the error of contouring results is limited primarily because they do not consider the clinical background. The purpose of this study is to investigate the relationship between geometric and clinical dosimetric indices. Methods: Four different types of targets were selected (C-shaped target, oropharyngeal cancer, metastatic spine cancer, and prostate cancer), and the translation, scaling, rotation, and sine function transformation were performed with the software Python to introduce systematic and random errors. The transformed contours were regarded as reference contours. Dosimetric indices were obtained from the original dose distribution of the radiotherapy plan. The correlations between geometric and dosimetric indices were quantified by linear regression. Results: The correlations between the geometric and dosimetric indices were inconsistent. For systematic errors, and with the exception of the sine function transformation (R2: 0.023-0.04, P > 0.05), the geometric transformations of the C-shaped target were correlated with the D98% and Dmean (R2: 0.689-0.988), 80% of which were P < 0.001. For the random errors, the correlations obtained by the all targets were R2 > 0.384, P < 0.05. The Wilcoxon signed-rank test was used to compare the spatial direction resolution capability of geometric indices in different directions of the C-shaped target (with systematic errors), and the results showed only the volumetric geometric indices with P < 0.05. Conclusions: Clinically, an assessment of the contour accuracy of the region-of-interest is not feasible based on geometric indices alone. Dosimetric indices should be added to the evaluations of the accuracy of the delineation results, which can be helpful for explaining the clinical dose response relationship of delineation more comprehensively and accurately.


2021 ◽  
Vol 1738 ◽  
pp. 012034
Author(s):  
Jun Han ◽  
Yang Hu ◽  
Tang Tang ◽  
Xin Zhao ◽  
Mingwei Li

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