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 …

I and i

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.

Fast parallel algorithms for short-range molecular dynamics

다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

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。

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

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Author(s): Xu, Yan; Zhou, Guangmin; Zhao, Shuyang; Li, Wanfei; Shi, Feifei; Li, Jia; Feng, Jun; Zhao, Yuxing; Wu, Yang; Guo, Jinghua; Cui, Yi; Zhang, Yuegang | Abstract: [This corrects the article DOI: 10.1002/advs.201800981.].

/pdf/erratum-improving-a-mg-s-battery-with-ycl3-additive-and-1lkkedn87c.pdf

Erratum: Improving a Mg/S Battery with YCl3 Additive and Magnesium Polysulfide.

We presented two target decomposition methods for polarimetric interferometric SAR (PolInSAR) images parallel to the eigen-decomposition and scattering power decomposition for polarimetric SAR (PolSAR) images. For both cases, we showed the importance of PolInSAR coherence estimation, and in particular, the newly proposed best normal matrix approximation algorithm in successful decomposition of PolInSAR data. Preliminary results were demonstrated using the ESAR data.

Target decomposition in polarimetric interferometric SAR

PurposeA significant hurdle in developing reliable gene expression–based prognostic models has been the limited sample size, which can cause overfitting and false discovery. Combining data from multiple studies can enhance statistical power and reduce spurious findings, but how to address the biologic heterogeneity across different datasets remains a major challenge. Better meta-survival analysis approaches are needed.Material and MethodsWe presented a decentralized learning framework for meta-survival analysis without the need for data aggregation. Our method consisted of a series of proposals that together alleviated the influence of data heterogeneity and improved the performance of survival prediction. First, we transformed the gene expression profile of every sample into normalized percentile ranks to obtain platform-agnostic features. Second, we used Stouffer’s meta-z approach in combination with Harrell’s concordance index to prioritize and select genes to be included in the model. Third, we used s...

https://ascopubs.org/doi/pdfdirect/10.1200/CCI.17.00077

Decentralized Learning Framework of Meta-Survival Analysis for Developing Robust Prognostic Signatures.

Synthesis and microwave absorption properties of porous vanadium nitride microspheres

1-Trichloromethyl-1,2,3,4-tetrahydro-β-carboline (TaClo) has been widely studied as a neurotoxic substance, however, only few reports have explored its effect on carcinogenicity. Since the aberrant modification of DNA methylation occurs very early in almost all human cancers, the focus of this study is to assess the carcinogenicity of TaClo by characterizing alterations of the epigenetic state, specifically, DNA methylation, upon exposure to TaClo in a HEK 293 model cell line. Our results suggest that TaClo could induce global DNA hypomethylation and transcriptional repression of critical tumor suppressor genes by increasing their promoter methylation. Enhanced cell proliferation, migration and anchorage independent growth were observed in cells exposed to TaClo. Our study highlights the epigenetic toxicity of TaClo, which contributes to its carcinogenicity by altering the DNA methylation status.

/pdf/basic-studies-on-epigenetic-carcinogenesis-of-low-dose-407qp28bzv.pdf

Yi Cui

Papers

Erratum: Improving a Mg/S Battery with YCl3 Additive and Magnesium Polysulfide.

Target decomposition in polarimetric interferometric SAR

Decentralized Learning Framework of Meta-Survival Analysis for Developing Robust Prognostic Signatures.

Synthesis and microwave absorption properties of porous vanadium nitride microspheres

Basic studies on epigenetic carcinogenesis of low-dose exposure to 1-trichloromethyl-1,2,3,4-tetrahydro-β-carboline (TaClo) in vitro.