scholarly journals Study of genoprotective features of preparation «Flaraksin» in conditions of tetrachloromethane damage action

1995 ◽  
Vol 11 (1) ◽  
pp. 70-80
Author(s):  
Yu. I. Gubskiy ◽  
E. L. Levitsky ◽  
I. A. Kulick ◽  
A. G. Goryushko ◽  
R. G. Primak ◽  
...  
Keyword(s):  
Damage Action

Part II Economic Framework, 5 Economics of Overcharges

2020 ◽  
Author(s):  
Veljanovski Cento
Keyword(s):  
Market Structure ◽  
Volume Effect ◽  
Cost Structure ◽  
Competitive Market ◽  
Barriers To Entry ◽  
Demand And Supply ◽  
On Demand ◽  
Economic Framework ◽  
Damage Action ◽  
Efficiency Losses

This chapter details some basic economics on how a sellers’ cartel sets its prices and volumes, and the losses these generate. In any damage action, the claimant must quantify the prices and volumes in the absence of the cartel. These are referred to as the ‘counterfactual’, ‘but for’, or to use the term in the Damages Directive, the ‘non-infringement’ prices and volumes. Overcharge, volume, and efficiency losses depend on demand and supply conditions, market structure, cost structure, and barriers to entry. The size of the overcharge and volume effect depends on the assumed counterfactual or non-infringement benchmark. If the benchmark is a competitive market, the losses will be largest. However, if the non-infringement situation are prices that would have been charged in a more concentrated market, then the overcharge and volume effects will be smaller.

Application of 3-D Sensor Tracking Imaging in Detailed Feature Extraction of Motion Damage Action

2020 ◽  
Vol 10 (4) ◽  
pp. 842-846 ◽  
Author(s):  
Chuan Jiang ◽  
Hang Yin ◽  
Fan Yang ◽  
Xiaowei Jiang
Keyword(s):  
Feature Extraction ◽  
Three Dimensional ◽  
Robust Tracking ◽  
Geometric Flow ◽  
Regional Feature ◽  
Complex Scenes ◽  
Theoretical Significance ◽  
Damage Action ◽  
Feature Information ◽  
Detailed Feature

In order to study the theoretical significance and practical value of the application of three-dimensional sensor tracking imaging in motion damage action detail feature extraction, the key technologies such as accurate segmentation of moving targets, regional feature extraction, target description and robust tracking are studied and discussed. The results show that the robustness of particle filter tracking algorithm in complex scenes can be effectively improved by using the separable feature information of the current tracking scene to track the target. From this it can be seen that the Bandelet transform based on geometric flow divides the image into regions, counts the histogram of the intensity distribution of the strip wave in all directions, and extracts the statistical features. Meanwhile, histogram features are normalized in order to maintain the robustness and selectivity of features.

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