Yu Huang

Bio: Yu Huang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Medicine & Materials science. The author has an hindex of 136, co-authored 1492 publications receiving 89209 citations. Previous affiliations of Yu Huang include The Chinese University of Hong Kong & Samsung.

Constraint Driven Pin Mapping for Concurrent SOC Testing

Abstract: A solution for mapping core I/O pins to system-on-a-chip (SOC) I/O pins in order to achieve cost-efficient concurrent test for core-based designs is presented in this paper. The problem of pin mapping is first formulated as two well-known NP-complete problems. A heuristic algorithm is then proposed to determine a solution. The objectives driving this solution are geared towards reducing the total number of SOC pins needed and satisfying the test constraints specified by core integrators. Experimental results demonstrate the efficiency of the proposed method.

Human scFv antibody fragments specific for hepatocellular carcinoma selected from a phage display library.

Abstract: Human scFv antibody fragments specific for hepatocellular carcinoma selected from a phage display library

A Practical Precision Control Method Base on Linear Extended State Observer and Friction Feedforward of Permanent Magnet Linear Synchronous Motor

Abstract: In this paper, a detailed model of motion stage driven by iron-less permanent magnet linear synchronous motor (PMLSM) and supported by rolling guides are presented. This stage is a prototype of the feeding system for a precise turning machine tool. In this model, there are two categories disturbances including slow-varying ones mainly produced by the thrust ripple of PMLSM and abrupt-changing ones caused by nonlinear friction of rolling guide. To overcome these disturbances, a simple, effective and practical servo control method based on the general-purpose two-degree-of-freedom PID (2DoF-PID) type controller integrated with the linear extended state observer (LESO) and the friction feedforward (FFF) controller is presented. In this control framework, the linear ESO is designed to estimate and compensate for the slow-varying disturbance and the FFF controller is adopted to eliminate the abrupt-changing nonlinear friction effects. Finally, comparative simulations indicate that the 2DoF-PID-LESO-FFF is effective and achieves better performance compared with traditional controllers, and experiment results demonstrate that the tracking error of the proposed method can be kept in the bounds of 1.5 μm under different conditions.

Ultrasensitive colorimetric and fluorometric detection of Hg(II) based on the use of gold nanoparticles and a catalytic hairpin assembly

Abstract: An ultrasensitive method for colorimetric and fluorometric determination of Hg(II) is described It involves a dual signal detection strategy based on the use of gold nanoparticles (AuNPs) and of a catalytic hairpin self-assembly Three fluorophore-labeled metastable hairpin DNA probes were adsorbed on AuNPs to quench the fluorescence of the labels The addition of Hg(II) causes catalytic self-assembly of the hairpins due to formation of T-Hg(II)-T base pairs with the aid of helper DNA to form a branched junction The branched junction is a dsDNA that is released from the surface of the AuNPs As a result, fluorescence recovers Its intensity, best measured at excitation/emission wavelengths of 492/517 nm, increases linearly in the 02 to 100 nM of Hg(II) concentration range The limit of detection is 01 nM This is comparable to, or better than in other amplification based methods The detection scheme offers both colorimetric (visual) and fluorescent read-out

I and i

Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

Fast parallel algorithms for short-range molecular dynamics

Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。