Electronic systems that offer elastic mechanical responses to high strain deformations are of growing interest, due to their ability to enable new electrical, optical and biomedical devices and other applications whos...
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Electronic systems that offer elastic mechanical responses to high strain deformations are of growing interest, due to their ability to enable new electrical, optical and biomedical devices and other applications whose requirements are impossible to satisfy with conventional wafer-based technologies or even with those that offer simple bendability. This paper describes materials and mechanical design strategies for classes of electronic circuits that offer extremely high flexibility and stretchability over large area, enabling them to accommodate even demanding deformation modes, such as twisting and linear stretching to ‘rubber-band’ levels of strain over 100%. The use of printed single crystalline silicon nanomaterials for the semiconductor provides performance in flexible and stretchable complementary metal-oxide-semiconductor (CMOS) integrated circuits approaching that of conventional devices with comparable feature sizes formed on silicon wafers. Comprehensive theoretical studies of the mechanics reveal the way in which the structural designs enable these extreme mechanical properties without fracturing the intrinsically brittle active materials or even inducing significant changes in their electrical properties. The results, as demonstrated through electrical measurements of arrays of transistors, CMOS inverters, ring oscillators and differential amplifiers, suggest a valuable route to highperformance stretchable electronics that can be integrated with nearly arbitrary substrates. We show examples ranging from plastic and rubber, to vinyl, leather and paper, with capability for large area coverage.
The discovery of biomarkers and the underlying causes of diseases are enabled through the analysis of biological samples and data stored in biobanks. Biological samples and their associated data are expensive to colle...
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The discovery of biomarkers and the underlying causes of diseases are enabled through the analysis of biological samples and data stored in biobanks. Biological samples and their associated data are expensive to collect and maintain, and it is important to store and manage them efficiently. During processing, samples and data go through a number of procedures and techniques, which are often in different locations and by individuals with different access permissions. It is essential to maintain the link between the samples and their associated data throughout the processes they undergo. This paper presents a novel system of tracking samples and data from collection through processing to storage and retrieval, which is based on Radio Frequency Identification (RFID) technology. This system ensures the security and reliability of sample data as well as location-independent recording and updating of sample data, as they move along the workflow.
We present a theoretical model describing Ogston (pore size comparable to or larger than the characteristic molecular dimension) sieving of rigid isotropic and anisotropic biomolecules in nanofluidic molecular filter ...
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We present a theoretical model describing Ogston (pore size comparable to or larger than the characteristic molecular dimension) sieving of rigid isotropic and anisotropic biomolecules in nanofluidic molecular filter arrays comprising of alternating deep and shallow regions. Starting from a quasi-one-dimensional drift-diffusion description, which captures the interplay between the driving electric force, entropic barrier and molecular diffusion, we derive explicit analytical results for the effective mobility and trapping time. Our results elucidate the effects of field strength, device geometry and entropic barrier height, providing a robust tool for the design and optimization of nanofilter/nanopore systems. Specifically, we show that Ogston sieving becomes negligible when the length of shallow region becomes sufficiently small, mainly due to efficient diffusional transport through the short shallow region. Our theoretical results are in line with experimental observations and provide important design insight for nanofluidic systems.
In this paper, we propose a resource broker, which providing a friendly interface for accessing available and appropriate resources via user credentials, is developed on a platform constructed by employing the Globus ...
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A two-phase preconditioning strategy based on a factored sparse approximate inverse is proposed for solving sparse indefinite matrices. In each phase, the strategy first makes the original matrix diagonally dominant t...
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ISBN:
(纸本)9781605581057
A two-phase preconditioning strategy based on a factored sparse approximate inverse is proposed for solving sparse indefinite matrices. In each phase, the strategy first makes the original matrix diagonally dominant to enhance the stability by a shifting method, and constructs an inverse approximation of the shifted matrix by utilizing a factored sparse approximate inverse preconditioner. The two inverse approximation matrices produced from each phase are then combined to be used as a preconditioner. Experimental results show that the presented strategy improves the accuracy and the stability of the preconditioner on solving indefinite sparse matrices. Furthermore, the strategy ensures that convergence rate of the preconditioned iterations of the two-phase preconditioning strategy is much better than that of the standard sparse approximate inverse ones for solving indefinite matrices. Copyright 2008 ACM.
Multiple physical layer rates are supported in IEEE 802.11-based wireless networks, where links can adopt joint transmission power control and rate adaptation to achieve energy efficiency. This paper studies the selfi...
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Hydrogen can be generated from water,biomass,natural gas,or(after gasification) *** clean way to produce hydrogen from water is to use sunlight in combination with photovoltaic cells and water electrolysis,but it requ...
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Hydrogen can be generated from water,biomass,natural gas,or(after gasification) *** clean way to produce hydrogen from water is to use sunlight in combination with photovoltaic cells and water electrolysis,but it require land area to collect *** way is direct thermal splitting to produce hydrogen without CO2 emission,but it require temperatures of>2000℃.Owing to Ti element have high activity with carbon,it lead to a plenty of metal-catalyzed carbon nanostructures,which open a door for design of *** is very important to investigated the catalysts mechanism of Ti-C for water dissociation reaction,which is necessary step toward the design of catalyst for generation hydrogen.
In this paper, we present a peer-to-peer file sharing platform combined with Data Grid system for mobile devices. Facing the limit of network bandwidth and unstable signal strength in wireless network, wireless peer-t...
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Energy-efficient (green) supercomputing has evolved to improve system reliability and provide better availability and productivity. Green Destiny supercomputing system is a Linux-based cluster that uses low-power comp...
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Energy-efficient (green) supercomputing has evolved to improve system reliability and provide better availability and productivity. Green Destiny supercomputing system is a Linux-based cluster that uses low-power components whose performance could be optimized for supercomputing. Low-power supercomputing focuses on energy efficiency at system integration time, selects low-power chips as the building blocks for power reduction and system reliability, and achieves better performance by scaling up to a larger number of processors. Researchers have implemented various power-aware software prototypes for commodity supercomputing starting with cluster of high-performance, high-power processors that support mechanism called dynamic voltage and frequency scaling (DVFS). Various approaches for parallel supercomputing nodes are studied by aiming execution phases that are not on the critical execution path.
Data privacy preservation has become one of the major concerns in the design of practical data-mining applications. In this paper, a novel data distortion approach based on structural partition and Sparsified Singular...
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