Yang Yang

Bio: Yang Yang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 171, co-authored 2644 publications receiving 153049 citations. Previous affiliations of Yang Yang include Zhejiang University & Northwest Normal University.

Meta-analysis confirms that a common G/C variant in the pre-miR-146a gene contributes to cancer susceptibility and that ethnicity, gender and smoking status are risk factors.

Abstract: Evidence has shown that miR-146a is involved in carcinogenesis, and a common G/C variant (rs2910164) in the pre-miR-146a gene has been associated with various types of cancer. We summarized the data from 22 published case-control studies on the association between rs2910164 and cancer risk and performed subgroup analyses by ethnicity, gender and smoking status. We found a significant association between the pre-miR-146a polymorphism and cancer risk in Caucasian populations (odds ratio (OR) = 0.93, 95% confidence interval (CI) = 0.88-0.99 for G- vs C-allele), while the significance was borderline in Asian populations (OR = 1.11, 95%CI = 1.00-1.23 for G- vs C-allele). A significantly increased risk of cancer was found in males with GG/GC genotypes (OR = 1.23, 95%CI = 1.10- 1.37), and the significance was more pronounced in smokers (OR = 1.82, 95%CI = 1.32-2.51) than in non-smokers (OR = 1.24, 95%CI = 1.01-1.53). We conclude that there is evidence that the pre-miR-146a polymorphism contributes to cancer susceptibilities and that gender and smoking status affect the probability of cancer in individuals with this polymorphism.

Supramolecularly Assembled Nanocomposites as Biomimetic Chloroplasts for Enhancement of Photophosphorylation.

Abstract: Prototypes of natural biosystems provide opportunities for artificial biomimetic systems to break the limits of natural reactions and achieve output control. However, mimicking unique natural structures and ingenious functions remains a challenge. Now, multiple biochemical reactions were integrated into artificially designed compartments via molecular assembly. First, multicompartmental silica nanoparticles with hierarchical structures that mimic the chloroplasts were obtained by a templated synthesis. Then, photoacid generators and ATPase-liposomes were assembled inside and outside of silica compartments, respectively. Upon light illumination, protons produced by a photoacid generator in the confined space can drive the liposome-embedded enzyme ATPase towards ATP synthesis, which mimics the photophosphorylation process in vitro. The method enables fabrication of bioinspired nanoreactors for photobiocatalysis and provides insight for understanding sophisticated biochemical reactions.

Novel NiCo2S4@reduced graphene oxide@carbon nanotube nanocomposites for high performance supercapacitors

Abstract: We present a simple one-step solvothermal method for in situ growth of nickel cobalt sulfide (NiCo2S4) nanoparticles on the reduced graphene oxide (rGO) sheets and carbon nanotube (CNT) without adding any surfactant. The NiCo2S4@rGO@CNT structure was fabricated successfully with the hydrothermal method. When serving as an electrochemical supercapacitor electrode material, the NiCo2S4@rGO@CNT delivers a highly improved specific capacitance of 1242.51 F g−1 at the current density of 2.0 A g−1, as compared with that of pure NiCo2S4 (519.51 F g−1) counterpart. Its durability is mainly owing to the synergistic effects of NiCo2S4, rGO and CNT, further presenting potential applications in energy storage.

In Vitro Activity of Cefepime-Zidebactam, Ceftazidime-Avibactam, and Other Comparators against Clinical Isolates of Enterobacterales, Pseudomonas aeruginosa, and Acinetobacter baumannii: Results from China Antimicrobial Surveillance Network (CHINET) in 2018.

Abstract: This study evaluated the in vitro activity of cefepime-zidebactam in comparison with that of ceftazidime-avibactam and other comparators against clinically significant Gram-negative bacillus isolates. A total of 3,400 nonduplicate Gram-negative clinical isolates were collected from 45 medical centers across China in the CHINET Program in 2018, including Enterobacterales (n = 2,228), Pseudomonas aeruginosa (n = 657), and Acinetobacter baumannii (n = 515). The activities of cefepime-zidebactam and 20 comparators were determined by broth microdilution as recommended by the Clinical and Laboratory Standards Institute. Cefepime-zidebactam demonstrated potent activity against almost all Enterobacterales (MIC50/90, 0.125/1 mg/liter) and good activity against P. aeruginosa (MIC50/90, 2/8 mg/liter). Among the 373 carbapenem-resistant Enterobacteriaceae isolates, 57.3% (213/373) and 15.3% (57/373) were positive for bla KPC-2 and bla NDM, respectively. Cefepime-zidebactam showed a MIC of ≤2 mg/liter for 92.0% (196/213) of bla KPC-2 producers and 79.7% (47/59) of bla NDM producers. Ceftazidime-avibactam showed good in vitro activity against Enterobacterales (MIC50/90, 0.25/2 mg/liter; 94.0% susceptible) and P. aeruginosa (MIC50/90, 4/16 mg/liter; 86.9% susceptible). Ceftazidime-avibactam was active against 9.1% of carbapenem-resistant Escherichia coli isolates (63.6% were bla NDM producers) and 84.6% of Klebsiella pneumoniae isolates (74.3% were bla KPC producers). Most (90.1%) bla KPC-2 producers were susceptible to ceftazidime-avibactam. Cefepime-zidebactam demonstrated limited activity (MIC50/90, 16/32 mg/liter) against the 515 A. baumannii isolates (79.2% were carbapenem resistant), and ceftazidime-avibactam was less active (MIC50/90, 64/>64 mg/liter). Cefepime-zidebactam was highly active against clinical isolates of Enterobacterales and P. aeruginosa, including bla KPC-2-positive Enterobacterales and bla NDM-positive Enterobacterales and carbapenem-resistant P. aeruginosa And ceftazidime-avibactam was highly active against bla KPC-2-positive Enterobacterales and carbapenem-resistant P. aeruginosa.

Internet of Mission-Critical Things: Human and Animal Classification—A Device-Free Sensing Approach

Abstract: The well-known Internet of Things (IoT) is recently being considered for critical missions, such as search and rescue, surveillance, and border patrol. One of the most critical issues that these applications are currently facing is how to correctly distinguish between human and animal targets in a cost-effective way. In this paper, we present a relatively low-cost, but robust approach that uses a combination of device-free sensing (DFS) and machine-learning technologies to tackle this issue. In order to validate the feasibility of the presented approach, a variety of data is collected in a cornfield using impulse-radio ultra-wideband (IR-UWB) transceivers. These data are then used to investigate the influence of different statistical properties of the radio-frequency (RF) signal on the accuracy of human/animal target classification. Based on the probability density function of different statistical properties, two distinguishing features for target classification are found, namely, standard deviation and root mean spread delay spread. Using them, the impact on the classification accuracy due to different classifiers, number of training samples, and different values of signal-to-noise ratio is extensively verified. Even with the worst case, the classification accuracy of the system is still better than 91% in terms of distinguishing between human and animal targets (including goats and dogs), which indicates that the presented approach has a great potential to be deployed in the near future.

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。

Electronics and optoelectronics of two-dimensional transition metal dichalcogenides.

Abstract: Single-layer metal dichalcogenides are two-dimensional semiconductors that present strong potential for electronic and sensing applications complementary to that of graphene.