Adaptive structures Subject

Shown are PDB accession codes and similarity and potency data for complex crystal structures subjected to qualitative SAR analysis. The table is adapted from the supplementary material of. ... 

For sensor applications, use is made of the direct piezoelectric effect and thus the piezoelectric cube described above now has to be subjected to mechanical fields. Strains and stresses are applied via associated surfaces either by prescribed displacements in a clamped configuration or by applied forces in a free configuration. Besides the intended sensor application, this, of corrse, is also relevant to the case of solely passive transmission of loads. Consequently, the subsequent examinations are also important for the general application of electromechanically coupled materials in adaptive structures. For mechanical fields operating opposed or transverse to the polarization direction, the field levels are limited by the risk of repolarization similar to the actuation case. 

The theory of deterministic linear systems plays a fundamental role in the dynamic analysis of structures subjected to stochastic excitations. For this reason in this section the fundamental of deterministic analysis of SDoF subjected to deterministic excitation is synthetically reviewed. Particular care has been devoted to the state-space approach. This approach is the best suited for the development of formulations in the framework of random vibrations. In fact, its adaptability to numerical method of solution of differential equations and its extension to multi-degree-of-freedom (MDoF) systems are very straightforward. 

Piezoelectric materials are pressure-sensitive materials. When subject to pressure (stress) they become polarized and produce an electric field. The prefix piezo- comes from the Greek word pressure. The reverse is true when these materials are subject to an electric field the result is a mechanical strain and displacement. These materials have many industrial applications as transducers, accelerometers, and sensors, and have found use in robotic and biomedical applications. Composites of these materials are also known as smart materials and are used in adaptive structures. 

Neuronal networks are nowadays predominantly applied in classification tasks. Here, three kind of networks are tested First the backpropagation network is used, due to the fact that it is the most robust and common network. The other two networks which are considered within this study have special adapted architectures for classification tasks. The Learning Vector Quantization (LVQ) Network consists of a neuronal structure that represents the LVQ learning strategy. The Fuzzy Adaptive Resonance Theory (Fuzzy-ART) network is a sophisticated network with a very complex structure but a high performance on classification tasks. Overviews on this extensive subject are given in [2] and [6]. 

Fig. 8. CDK4 selective library design process of Honma et al. (64). (A) Align sequences of 390 kinases. Dark circles denote residues with <40% conservation or subject to replacement in CDK1/2/6. (B) Darker residues in ATP binding site pinpoint the least conserved residues highlighted in (A). (C) Map lead structure onto difference residues. Arrows denote direction and distance to said amino acids. (D) Design library according to these constraints. Resulting compounds show up to 180-fold selectivity for CDK4 with respect to CDK2. Adapted from ref. 64.

A management procedure for global model precision was proposed by Kondratyev, Krapivin, and Pshenin (2000). The main idea behind this procedure consists in the use of evolutionary modeling for the synthesis of a combined model whose structure is subject to adaptation against the background of the history of a system of the biosphere and climate components. The form of such a synthesis depends on the spatiotemporal completeness of the global database. 

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