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Jun Lu

Bio: Jun Lu 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 135, co-authored 1526 publications receiving 99767 citations. Previous affiliations of Jun Lu include Drexel University & Argonne National Laboratory.


Papers
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TL;DR: In this article, a low-temperature process with PtSi-based S/D is examined for the fabrication of n-type UTB and trigate FETs on SOI substrate (tSi = 30 nm).
Abstract: Schottky-barrier source/drain (SB-S/D) presents a promising solution to reducing parasitic resistance for device architectures such as fully depleted UTB, trigate, or FinFET. In this letter, a low-temperature process (< 700degC) with PtSi-based S/D is examined for the fabrication of n-type UTB and trigate FETs on SOI substrate (tSi = 30 nm). Dopant segregation with As was used to achieve the n-type behavior at implantation doses of 1 ldr 1015 and 5 ldr 1015 cm-2. Similar results were found for UTB devices with both doses, but trigate devices with the larger dose exhibited higher on currents and smaller process variation than their lower dose counterparts.

19 citations

Journal ArticleDOI
TL;DR: Results from this study of the interaction of trypsin with its natural inhibitor should be useful to minimize the antinutritional effects and make full use of tea extracts in the food industry, and be also helpful to the design of the drugs for the diseases related to overexpression oftrypsin.
Abstract: Ligupurpuroside A is a glycoside extracted from Ku-Ding tea. As extracts from Ku-Ding tea exhibit anti-inflammatory property, we hypothesize that Ligupurpuroside A may be an active compound which inhibits trypsin activity during the anti-inflammatory process. The mechanism and nature of inhibition of trypsin by Ligupurpuroside A have been studied by multi-spectroscopic method, enzyme-activity assay and molecular docking. Enzyme activity assay reveals that Ligupurpuroside A significantly inhibits the activity of trypsin through a competitive manner with an IC50 value of 3.08 × 10−3 mol L−1. Fluorescence titration together with thermodynamic analysis indicate that a Ligupurpuroside A-trypsin complex is formed, and that hydrophobic force and hydrogen bonding are the main forces stabilizing the complex. UV-vis absorption, synchronous fluorescence and circular dichroism spectra show that the interaction between Ligupurpuroside A and trypsin induces conformational changes of trypsin with a decrease in the contents of α-helix and β-sheet. Finally, molecular docking further suggests that Ligupurpuroside A molecule binds within the active pocket of trypsin via hydrophobic force and hydrogen bond. Results from this study of the interaction of trypsin with its natural inhibitor should be useful to minimize the antinutritional effects and make full use of tea extracts in the food industry, and be also helpful to the design of the drugs for the diseases related to overexpression of trypsin.

19 citations

Journal ArticleDOI
Fumio Abe, M. G. Albrow1, S. R. Amendolia2, D. Amidei3  +420 moreInstitutions (33)
TL;DR: In this paper, measurements of the longitudinal polarization fractions in the decays of the decay chain were reported, using data collected with the Collider Detector at Fermilab, and a sample of 65{plus_minus}10{ital B}{sub {ital d}}{r_arrow}{ital d}/{psi}{ital K}{sup *0} was used to obtain a longitudinal polarization fraction of 0.65{plus-minus}0.10(stat, plus-minus)0.21(stat).
Abstract: This Letter reports on measurements of the longitudinal polarization fractions in the decays {ital B}{sub {ital d}}{r_arrow}{ital J}/{psi}{ital K}{sup *0} and {ital B}{sub {ital s}}{r_arrow}{ital J}/{psi}{phi} using data collected with the Collider Detector at Fermilab. {ital B}{sub {ital d}} mesons are reconstructed through the decay chain {ital B}{sub {ital d}}{r_arrow}{ital J}/{psi}{ital K}*, {ital J}/{psi}{r_arrow}{mu}{sup +}{mu}{sup {minus}}, {ital K}{sup *0}{r_arrow}{ital K}{sup +}{pi}{sup {minus}}. A sample of 65{plus_minus}10{ital B}{sub {ital d}} events is used to obtain a longitudinal polarization fraction of {Gamma}{sub {ital L}}/{Gamma}=0.65{plus_minus}0.10(stat){plus_minus}0.04(syst). {ital B}{sub {ital s}} mesons are reconstructed through the decay chain {ital B}{sub {ital s}}{r_arrow}{ital J}/{psi}{phi}, {ital J}/{psi}{r_arrow}{mu}{sup +}{mu}{sup {minus}}, {phi}{r_arrow}{ital K}{sup +}{ital K}{sup {minus}}. A sample of 19{plus_minus}5{ital B}{sub {ital s}} events is used to obtain the result {Gamma}{sub {ital L}}/{Gamma}=0.56{plus_minus}0.21(stat){sub {minus}0.04}{sup +0.02}(syst). Copyright {ital 1995} {ital The} {ital American} {ital Physical} {ital Society}.

19 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of pulsed electric field processing (0.66, 1.38 and 2.00 ǫkV/cm, 50 Hz) on color, texture profile, lipid oxidation value, free amino acids (FFAs) and fatty acids (FAs) content of abalone muscle were studied.
Abstract: The effects of pulsed electric field (PEF) processing (0.66, 1.38 and 2.00 kV/cm, 50 Hz) with and without heat treatments (70, 80 and 90 °C for 15 min) on color, texture profile, lipid oxidation value, free amino acids (FFAs) and fatty acids (FAs) content of abalone muscle were studied. PEF treatments had less effects on the physical and chemical characteristics of heated and non-heated samples. Heat treatments however significantly changed meat color, as well as increased toughness and elasticity. In addition, lipid oxidation, and free amino acids (FAAs), and saturated fatty acids (SFAs) content of non-PEF treated samples increased.

19 citations


Cited by
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04 Mar 2011-Cell
TL;DR: Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer.

51,099 citations

Journal ArticleDOI
TL;DR: The Gene Set Enrichment Analysis (GSEA) method as discussed by the authors focuses on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation.
Abstract: Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.

34,830 citations

Journal ArticleDOI

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08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
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 …

33,785 citations

01 May 1993
TL;DR: 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.
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.

29,323 citations