Chiral lateral optical force near plasmonic ring induced by Laguerre-Gaussian beam

Owing to the good adjustability and the strong near-field enhancement, surface plasmons are widely used in optical force trap, thus the optical force trap can achieve excellent performance. Here, we use the Laguerre-Gaussian beam and a plasmonic gold ring to separate enantiomers by the chiral optical force. Along with the radial optical force that traps the particles, there is also a chirality-sign-sensitive lateral force arising from the optical spin angular momentum, which is caused by the interaction between optical orbit angular momentum and gold ring structure. By selecting a specific incident wavelength, the strong angular scattering and non-chiral related azimuthal optical force can be suppressed. Thus the chiral related azimuthal optical force can induce an opposite orbital rotation of the trapped particles with chirality of different sign near the gold ring. This work proposes an effective approach for catchingand separating chiral enantiomers.     

基于实时无标记技术研究流式分选后细胞活性的检测方法

利用流式细胞法、细胞计数试剂盒（CCK-8）法、实时细胞功能分析（RTCA）法分别检测分选前后细胞的活性,综合比较了3种方法的检测原理、操作特点等。结果显示,流式细胞法测得的分选后细胞凋亡率为（3.85 ± 0.008）%,分选前细胞凋亡率为（14.09 ± 0.021）%,分选后细胞凋亡率低于分选前,具有统计学差异（P < 0.05）;分选前后的活细胞比例显示,分选后活细胞比例高于分选前,具有显著性统计学差异（P < 0.001）。CCK-8法测得的分选后细胞活性高于分选前,具有显著性统计学差异（P < 0.001）;RTCA法测得的分选后细胞连续增殖活性明显高于分选前,具有极显著性统计学差异（P < 0.000 1）。结果显示,相较于CCK-8法和流式细胞法,RTCA法的细胞用量少、可回收,操作简便,无需标记,检测灵敏度高,可获得实时动态的细胞生长曲线,适合研究分选后细胞长效动态的活性变化,可为基础和临床分选后活细胞的功能研究提供检测手段。     

Computational analysis for the determination of deleterious nsSNPs in human MTHFD1 gene

Single nucleotide polymorphisms (SNPs) are the most common genetic polymorphisms and play a major role in many inherited diseases. Methylenetetrahydrofolate dehydrogenase 1 (MTHFD1) is one of the enzymes involved in folate metabolism. In the present study, the functional and structural consequences of nsSNPs of human MTHFD1 gene was analyzed using various computational tools like SIFT, PolyPhen2, PANTHER, PROVEAN, SNAP2, nsSNPAnalyzer, PhD-SNP, SNPs&GO, I-Mutant, MuPro, ConSurf, InterPro, NCBI Conserved Domain Search tool, ModPred, SPARKS-X, RAMPAGE, FT Site and PyMol. Out of 327 nsSNPs form human MTHFD1 gene, total 45 SNPs were predicted as functionally most significant SNPs, among which 17 were highly conserved and functional, 17 were highly conserved and structural residues. Among 45 most significant SNPs, 15 were predicted to be involved in post translational modifications. The p.Gly165Arg may interfere in homodimer interface formation. The p.Asn439Lys and p.Asp445Asn may interfere in binding interactions of MTHFD1 protein with cesium cation and potassium. The two SNPs (p.Asp562Gly and p.Gly637Cys) might interfere in interactions of MTHFD1 with ligand.     

不同知识引出方法对科学概念结构表征的影响——来自多维标度法的证据

不同知识引出方式对获得的群体概念结构的影响,是概念结构研究中重要且未解决的问题。以17名中学化学教师为被试,通过自由分类、概念构图和语义相关性评定,引出被试对15个与原子相关概念的认识,并以多维标度法分析群体概念结构。研究发现:由不同知识引出方式获得的群体概念结构具有不同的特点,通过语义相关性评定获得的群体概念结构更适合呈现科学概念具有复杂关系的特点。研究结果有助于研究者选择合适的研究方法,实施更有效的群体概念结构研究。     

缩短单点作业时间影响因素的排序研究

提出国家电网公司在实施设备的检修作业时尽量减少停电时间,以实现电缆线路状态的有效监控的重要意义.分析缩短单点作业时间的末端影响因素.提出三角模糊集、指数模糊集用于权重设置的具体途径,应用OWA算子于因素排序评价数值的加权,并拓展其基本原理和方法,使其对极端评分值有所抑制对中间评分值有所提升.以上海市电力公司检修公司为研究背景,应用直觉模糊集及其IFHA集成方法于缩短单点作业时间的末端影响因素评价指标排序,并得出u_≥u_≥u_1u_4u_6≥u_2u_3的结论.     

Computational modelling of multi-material energetic materials and systems

ABSTRACT

In this paper, we present a systematic roadmap for developing a robust and parallel multi-material reactive hydrodynamic solver that integrates historically stable algorithms with new and current modern methods to solve explosive system design problems. The Ghost Fluid Method and Riemann solvers were used to enforce appropriate interface boundary conditions. Improved performance in terms of computational work and convergence properties was achieved by modifying a local node sorting strategy that decouples ghost nodes, allowing us to set material boundary conditions via an explicit procedure, removing the need to solve a coupled system of equations numerically. The locality and explicit nature of the node sorting concept allows for greater levels of parallelism and lower computational cost when populating ghost nodes. Non-linear numerical issues endemic to the use of real Equations of State in hydro-codes were resolved by using more thermodynamically consistent forms allowing us to accurately resolve large density gradients associated with high energy detonation problems at material interfaces. Pre-computed volume tables were implemented adding to the robustness of the solver base.     

Parallel bucket sorting on graphics processing units based on convex optimization

We found an interesting relation between convex optimization and sorting problem. We present a parallel algorithm to compute multiple order statistics of the data by minimizing a number of related convex functions. The computed order statistics serve as splitters that group the data into buckets suitable for parallel bitonic sorting. This led us to a parallel bucket sort algorithm, which we implemented for many-core architecture of graphics processing units (GPUs). The proposed sorting method is competitive to the state-of-the-art GPU sorting algorithms and is superior to most of them for long sorting keys.