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A quadratic contact element passing the patch test Duc-Tue Nguyen1,a, Gast Rauchs2,b, and Jean-Philippe Ponthot3,c 1 Automotive Research & Development Centre, Bosch Vietnam, 364 Cong Hoa Street, Ward 13, Tan Binh District, Hochiminh City, Vietnam 2 Department of Materials Research and Technology, Luxembourg Institute of Science and Technology, 41 Brillstrooss, L-4422 Bieles, Luxembourg 3LTAS-MN2L-Non Linear Computational Mechanics, Department of Aerospace and Mechanical Engineering, University of Liège, Allee de la Decouverte 13a, 4000 Liège, Belgium atue.nguyenduc@vn.bosch.com, bgaston.rauchs@list.lu, cjp.ponthot@ulg.ac.be Keywords: numerical simulation, virtual slave node method, node-to-segment, patch test, quadratic contact element, penalty algorithm.
The key difference with respect to the original method presented in [35] is that the area of competence is projected onto the tangent line li of the master surface, see Fig. 6.
The two rectangular blocks are made of identical elastic materials.
Both cylinders are made of the same elastic material.
The material properties are given in Tab. 7.

Figure 3: Schematic overview of new materials with respect to the year they entered mass production.
Figure 3 depicts new materials and their incorporation into mass production.
In addition increasing importance of interface engineering in nanotechnology demands numerous new process related cleaning steps.
In addition the selectivity of the process with respect to different materials is very low.
Maher: Materials Lett.

There are numerous examples of the use of ion implantation for materials, such as semiconductors, corrosion resistant materials, polymers, glasses, etc.
In many cases, photo-catalytic materials obtained by ion implantation are called second generation photo-catalytic materials.
In well-defined experiments, energy loss mechanisms governing the ion-target interaction are responsible in producing point defects or defect clusters and this defect engineering may be a useful tool in enhancing specific properties of materials, like surface reactivity (including photocatalysis), magnetic flux pinning and others.
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Xu and Wang weighted feature selection algorithm based on random forest (RF-WFS) with XGBoost classifier PIDD Achieved an accuracy of 93.75% Materials and Methods Dataset.
Debelee, Detection of bacterial wilt on enset crop using deep learning approach, in: International Journal of Engineering Research in Africa, Vol. 51, Trans Tech Publ, 2020, pp. 131–146
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Pradeep, A review of ensemble machine learning approach in prediction of diabetes diseases, International Journal on Future Revolution in Computer Science & Communication Engineering 4 (3) (2018) 463–466

Materials and Methods Materials: Collection, Preparation, and Storage of Brewer’s Spent Grains Samples.
Materials: Chemicals and Reagents.
The moisture and ash content of the BSG samples were determined by gravimetric analysis with reference to Method D1762-84 of the American Society for Testing and Materials (ASTM) [56].
[53] for Testing Materials AS.
Standards of the American Society for Testing Materials.

Knowing the radon concentration of the near-surface (surficial) materials may give important information also on geology.
Detection and quantification of tracks in etched LR-115 detectors is a key step in employing the SSNTD method for applied radon studies.
Phillip, Dependence of the radon emanation coefficient on radium distribution and internal structure of the material, Geochim.
Roberts, Behaviour of radon in the geological environment: a review, Engineer.
Yu, Formation and growth of tracks in nuclear track materials, Mater.