Computer aided design and NMR characterization of an oligopeptide targeting the Ebola virus VP24 protein

The nona-peptide RS, designed on the basis of computational studies, is able to interact with Ebola VP24 and potentially inhibit its interaction with KPNA.

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Computer-aided design of polymeric materials: Computational study for characterization of databases for prediction of mechanical properties under polydispersity

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2019.06.006 ◽

2019 ◽

Vol 191 ◽

pp. 65-72 ◽

Cited By ~ 2

Author(s):

Fiorella Cravero ◽

Santiago A. Schustik ◽

María Jimena Martínez ◽

Carlos D. Barranco ◽

Mónica F. Díaz ◽

...

Keyword(s):

Mechanical Properties ◽

Computer Aided Design ◽

Computational Study ◽

Polymeric Materials ◽

Computer Aided ◽

Prediction Of Mechanical Properties ◽

Aided Design

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Neural Networks for Modeling the Contact Foot-Shoe Upper

Handbook of Research on Machine Learning Applications and Trends ◽

10.4018/978-1-60566-766-9.ch027 ◽

2010 ◽

pp. 561-573

Author(s):

M. J. Rupérez ◽

J. D. Martín ◽

C. Monserrat ◽

M. Alcañiz

Keyword(s):

Neural Networks ◽

Computer Aided Design ◽

Characteristic Curve ◽

Neural Model ◽

Computer Aided ◽

Materials Used ◽

Aided Design ◽

Footwear Design ◽

The Relationship

Recently, important advances in virtual reality have made possible real improvements in computer aided design, CAD. These advances are being applied to all the fields and they have reached to the footwear design. The majority of the interaction foot-shoe simulation processes have been focused on the interaction between the foot and the sole. However, few efforts have been made in order to simulate the interaction between the shoe upper and the foot surface. To simulate this interaction, flexibility tests (characterization of the relationship between exerted force and displacement) are carried out to evaluate the materials used for the shoe upper. This chapter shows a procedure based on artificial neural networks (ANNs) to reduce the number of flexibility tests that are needed for a comfortable shoe design. Using the elastic parameters of the material as inputs to the ANN, it is possible to find a neural model that provides a unique equation for the relationship between force and displacement instead of a different characteristic curve for each material. Achieved results show the suitability of the proposed approach.

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Computer-aided design of luminous fiber embroidered fabric and characterization of afterglow performance

Textile Research Journal ◽

10.1177/0040517515599747 ◽

2015 ◽

Vol 86 (11) ◽

pp. 1162-1170 ◽

Cited By ~ 2

Author(s):

Jing Li ◽

Zhi Chen ◽

Mingqiao Ge

Keyword(s):

Computer Aided Design ◽

Computer Aided ◽

Aided Design

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Impurities and Grain Size Modeling in Recrystallized Silicon

MRS Proceedings ◽

10.1557/proc-1066-a17-05 ◽

2008 ◽

Vol 1066 ◽

Author(s):

Valeri V. Kalinin ◽

Alexandre M. Myasnikov ◽

Vladislav E. Zyryanov

Keyword(s):

Grain Size ◽

Quality Control ◽

Amorphous Silicon ◽

Computer Aided Design ◽

Silicon Film ◽

Calculated Data ◽

Computer Aided ◽

Lateral Crystallization ◽

Aided Design

ABSTRACTIn our previous publications [1, 2 and 3], spreading resistance probe (SRP) measurements for quality control of metal induced lateral crystallization (MILC) of amorphous silicon (a-Si) were studied, and the mechanism of nickel diffusion was simulated using technology computer-aided design (TCAD) modeling.Now, we continue to present the explanation of experimental results by modeling with the Synopsys TCAD package, whereby models for resistivity vs. grain size in implanted recrystallized silicon layers are implemented and compared with experiments.Findings show that the SRP method can be used for the characterization of the MILC process of amorphous silicon and that a comparison of experimental and calculated data allows both a turn from qualitative to quantitative analysis of recrystallized silicon film and an estimate of grain size. It has been found that grain size depends on location in the MILC region and on the time and temperature of recrystallization.

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