1000 resultados para PERNIGRANILINE BASE
Resumo:
Peptide nucleic acids (PNAs) are nucleic acid analogs with the deoxyribose phosphate backbone replaced by pseudo-peptide polymers to which the nucleobases are linked. The achiral, uncharged and rather flexible properties of the peptide backbone permit peptide nucleic acids more potential than oligonucleotides in application to antisence and antigenic reagents. The process of PNA binding to DNA duplex and forming triplex is the first step of PNA interacting with PNA. But there are no PNA.2DNA triplex crystal data up to date and little has been reported on the structure features and the force of the PNA.2DNA triplex. In this work, PNA(T).DNA(AT) triplexes are successfully built and the structures and forces to stabilize the triplex after optimizations and molecule dynamics are systematically examined, which are expected to aid in the application of PNAs as anticense and antigene agents.
Resumo:
Although musculoskeletal models are commonly used, validating the muscle actions predicted by such models is often difficult. In situ isometric measurements are a possible solution. The base of the skeleton is immobilized and the endpoint of the limb is rigidly attached to a 6-axis force transducer. Individual muscles are stimulated and the resulting forces and moments recorded. Such analyses generally assume idealized conditions. In this study we have developed an analysis taking into account the compliances due to imperfect fixation of the skeleton, imperfect attachment of the force transducer, and extra degrees of freedom (dof) in the joints that sometimes become necessary in fixed end contractions. We use simulations of the rat hindlimb to illustrate the consequences of such compliances. We show that when the limb is overconstrained, i.e., when there are fewer dof within the limb than are restrained by the skeletal fixation, the compliances of the skeletal fixation and of the transducer attachment can significantly affect measured forces and moments. When the limb dofs and restrained dofs are matched, however, the measured forces and moments are independent of these compliances. We also show that this framework can be used to model limb dofs, so that rather than simply omitting dofs in which a limb does not move (e.g., abduction at the knee), the limited motion of the limb in these dofs can be more realistically modeled as a very low compliance. Finally, we discuss the practical implications of these results to experimental measurements of muscle actions.
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Two adaptive numerical modelling techniques have been applied to prediction of fatigue thresholds in Ni-base superalloys. A Bayesian neural network and a neurofuzzy network have been compared, both of which have the ability to automatically adjust the network's complexity to the current dataset. In both cases, despite inevitable data restrictions, threshold values have been modelled with some degree of success. However, it is argued in this paper that the neurofuzzy modelling approach offers real benefits over the use of a classical neural network as the mathematical complexity of the relationships can be restricted to allow for the paucity of data, and the linguistic fuzzy rules produced allow assessment of the model without extensive interrogation and examination using a hypothetical dataset. The additive neurofuzzy network structure means that redundant inputs can be excluded from the model and simple sub-networks produced which represent global output trends. Both of these aspects are important for final verification and validation of the information extracted from the numerical data. In some situations neurofuzzy networks may require less data to produce a stable solution, and may be easier to verify in the light of existing physical understanding because of the production of transparent linguistic rules. © 1999 Elsevier Science S.A.
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This book contains a collection of papers on the measurement, prediction and control of sound transmission.
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Appropriate models are essential for guiding the effective design of base-isolated buildings. While simple models suggest some guiding principles, these are often too simple for making any useful predictions of isolation performance. A modeling approach by which predictions of isolation performance may be made is proposed, along with suggestions of how this may be implemented in practice. Use of the approach can lead to better predictions of isolation performance and more effective designs.
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These works, edited by Malcolm Crocker, positioned Wiley as a major player in the acoustics reference market.
Resumo:
Silicon Carbide Bipolar Junction Transistors require a continuous base current in the on-state. This base current is usually made constant and is corresponding to the maximum collector current and maximum junction temperature that is foreseen in a certain application. In this paper, a discretized proportional base driver is proposed which will reduce, for the right application, the steady-state power consumption of the base driver. The operation of the proposed base driver has been verified experimentally, driving a 1200V/40A SiC BJT in a DC-DC boost converter. In order to determine the potential reduction of the power consumption of the base driver, a case with a dc-dc converter in an ideal electric vehicle driving the new European drive cycle has been investigated. It is found that the steady-state power consumption of the base driver can be reduced by approximately 63 %. The total reduction of the driver consumption is 2816 J during the drive cycle, which is slightly more than the total on-state losses for the SiC BJTs used in the converter. © 2013 IEEE.