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.

Characterisation of volatile organic compounds at hotels in Southern China.

Abstract: In the recent years, there has been a dramatic growth in the development of hotels in Southern China to meet the rapid demand of business and tourism industry. The indoor air quality of the hotels has become an important consideration due to a large workforce that is engaged in this industry. The objective of this study was to characterise the volatile organic compounds (VOCs) found in the indoor air in 13 new hotels in Southern China and assess their possible health impact. A 2-day non-simultaneous sampling was carried out in each of the hotels. Decorating materials, cleansing agents and even local regional pollutants outside the hotels could have a contribution and worsen indoor air quality. Toluene level was as high as 498 μg m—3 in a hotel fitted with lots of plywood products. The highest concentrations of methylene chloride (34 μg m—3) and total carbonyls (517 μg m—3) were detected in a hotel where high VOCs cleansing agents were used in guest rooms. In a hotel located in an industrial centre, aceton...

Aggregation-induced emission luminogens for RONS sensing

Abstract: Reactive oxygen and nitrogen species (RONS) are an important class of oxidative stress mediators which are tightly associated with several diseases. Therefore, it is important to develop an accurate and reliable method for the in situ monitoring of biologically relevant RONS. Fluorescent bioprobes exhibit remarkable sensing properties such as easy operation, rapid response and good sensitivity, and thus have emerged as powerful tools in diverse biomedical applications. Benefiting from remarkable photophysical advantages like large Stokes' shifts, high signal-to-noise ratios and excellent photostability, aggregation-induced emission (AIE) luminogens (AIEgens) show unique superiority for RONS sensing and are widely applied in diverse biomedical applications. In this review, we first introduce the concept of RONS and the sensing principles of RONS by AIE bioprobes. Then we summarize the current state of AIEgens for RONS sensing with some representative examples. Finally, we present a perspective on the future development of RONS sensing based on AIEgens. We hope our review can inspire more endeavors in this fascinating area, further promoting the use of AIEgens in diagnostic analysis and therapy.

Communication system with compressive sensing

Abstract: Systems and methods for communication systems with compressive sensing are disclosed. In one embodiment, a method of signal processing includes receiving a data packet at a processor. The data packet includes compressively measured data in wavelet transform coefficients of a signal. The signal is reconstructed using a clustering property of the wavelet transform coefficients.

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。