Many diseases are associated with the mutation of wild-type proteins. Usually, a point mutation can lead to severe clinical outcomes. Few techniques have the ability to detect the minute differences between the wild-t...
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Many diseases are associated with the mutation of wild-type proteins. Usually, a point mutation can lead to severe clinical outcomes. Few techniques have the ability to detect the minute differences between the wild-type and mutant proteins in solution under near physiological conditions. Circular dichroism (CD) is an established and valuable technique for examining protein structure. Because of its ability to sensitively detect conformational changes, it has important potential for identification of mutant protein. Synchrotron radiation CD (SRCD) offers significant enhancements with respect to conventional CD spectroscopy, which will enable its usage for high-resolution conformation detection and as a tool in the point-mutation protein identification. In this report, SRCD was used, as an example, to identify the point-mutations of human phosphoribosyl pyrophosphate synthetase 1 which were associated with an X chromosome-linked disease.
Wall-climbing robots can be widely applied in search and rescue, nuclear power plant maintenance, pressure pipeline inspection and so on, as a kind of special robots in extreme environment. However, the traditional si...
ISBN:
(数字)9781728137261
ISBN:
(纸本)9781728137278
Wall-climbing robots can be widely applied in search and rescue, nuclear power plant maintenance, pressure pipeline inspection and so on, as a kind of special robots in extreme environment. However, the traditional single motion mode can not ensure the stable adhesion of the robot on complex wall surfaces. Inspired by the structure characteristics of flies and clingfish, a biomimetic flexible spine wheel and an eddy suction cup mechanism are proposed. Then, based on the law of mechanism configuration synthesis, a novel wall-climbing locomotion mechanism is developed by equipping these above biomimetic mechanisms. With the elastic mechanics theory of finite element, the original stiffness matrix of a single spine wheel at different stiffness is deduced. Based on the transformation mechanism of rotation matrix and the original stiffness matrix of the spine wheel, an innovative contact model is set up to analyze the forces acting on a single spine wheel. Beyond that, mechanical analysis model between suction force and load is also presented, and the simulation results show that the mechanical model is effective and reasonable in the selection of vacuum component. Finally, we fabricated the wall-climbing robot adopting the technology of 3D printing and precision machining to verify its climbing performance. Meanwhile, experiment results present the robot could climb stably on the 0-360° wall surfaces.
Aiming at the positioning problem of Ad-Hoc networks of sensors node location, a beacon selected localization algorithm (BSLA) is proposed in this paper. The proposed method considers sufficiently both the topology re...
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Aiming at the positioning problem of Ad-Hoc networks of sensors node location, a beacon selected localization algorithm (BSLA) is proposed in this paper. The proposed method considers sufficiently both the topology relationship among beacons and the topology relationship between beacon nodes and unknown nodes. We introduce the concept of collinearity and apply it into the localization of the multihop networks. Through selecting best anchor terms by using collinearity parameter, node position estimate can be attained with a weighted estimate mechanism. A well-established data analysis technique- Pauta Criterion is used to filter out the erroneous position estimate to achieve higher localization accuracy. Simulation results show that the performance of BSLA outweighs the traditional DV-Hop and DV-distance algorithms whether in regular networks or in irregular networks (C shape networks).
Inspired by the transmission of seeds in nature, an evolutionary algorithm, seed optimization algorithm (SOA), is proposed. The algorithm is designed by simulating the self-adaptive phenomena of plant and it can be us...
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Inspired by the transmission of seeds in nature, an evolutionary algorithm, seed optimization algorithm (SOA), is proposed. The algorithm is designed by simulating the self-adaptive phenomena of plant and it can be used to resolve complex optimization problems with the evolution of plant. The global convergence analysis of SOA is made by using the Solis and Wets'research results. Finally, SOA is applied to three function optimization problems and compared with particle swarm optimization (PSO) algorithm. The experimental results show that SOA has stable and robust behaviour and it can be used as a promising alternative to existing optimization methods for engineering design.
With the advantages of light weight, thin thickness and environment friendly, the micro-perforated panel (MPP) has been widely studied for noise reduction. Maa's model pointed out that the MPP could obtain higher ...
With the advantages of light weight, thin thickness and environment friendly, the micro-perforated panel (MPP) has been widely studied for noise reduction. Maa's model pointed out that the MPP could obtain higher sound absorption over broader frequency band when the perforations were reduced to less than 100 μm. However, it is challenging to manufacture MPPs with the aperture of approximate 100 μm, thus its potential application has been restricted. In this study, we used a computer numerical control (CNC) milling machine to process MPP. Four different kinds of raw materials including paperboard, polyethylene terephthalate (PET), polyvinyl chloride (PVC), and polycarbonate (PC) were taken to prepare micro-perforated panels (MPPs). It has been indicated that MPPs with good sound absorption properties were successfully prepared by this facile method.
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