Performance of a four‐element Si drift detector for X‐ray absorption fine‐structure spectroscopy: resolution, maximum count rate,and dead‐time correction with incorporation into the ATHENA data analysis software

The performance of a four‐element Si drift detector for energy‐dispersive fluorescence‐yield X‐ray absorption fine‐structure measurements is reported, operating at the National Institute of Standards and Technology beamline X23A2 at the National Synchrotron Light Source. The detector can acquire X‐ray absorption fine‐structure spectra with a throughput exceeding 4 × 10⁵ counts per second per detector element (>1.6 × 10⁶ total counts per second summed over all four channels). At this count rate the resolution at 6 keV is approximately 220 eV, which adequately resolves the Mn Kα and Kβ fluorescence lines. Accurate dead‐time correction is demonstrated, and it has been incorporated into the ATHENA data analysis program. To maintain counting efficiency and high signal to background, it is suggested that the incoming count rate should not exceed ～70% of the maximum throughput.     

基于机场货运预测的GM(1,1)建模过程问题分析

运用灰色系统GM(1,1)模型进行预测时,模拟精度和预测精度是关注的焦点.对原始数据构造缓冲算子和进行完整的前期检验,运用等维灰数递补的动态建模方法,针对误差建立残差修正模型,都可以提高预测的可信度.通过归纳建模各阶段可能出现的典型问题以及解决方法,以期对建立优化模型有所帮助.最后建立GM(1,1)模型预测天津滨海机场货邮吞吐量.     

Structural analysis of a fractional matching problem

Mixed Software Programming refers to a novel software development paradigm resulting from efforts to combine two different programming approaches: Solo Programming and Pair Programming. Solo Programming refers to the traditional practice of assigning a single developer to develop a software module and Pair Programming refers to a relatively new approach where two developers work simultaneously on developing a module. In Mixed Programming, given a set of modules to be developed, a chosen subset of modules may be developed using Solo Programming and the remaining modules using Pair Programming.Motivated by applications in Mixed Software Programming, we consider the following generalization of classical fractional 1-matching problem: Given an undirected simple graph G=(V;E), and a positive number F, find values for x_e,e∈E, satisfying the following:

1.

.

2.

, where δ(i)={e∈E:e=(i,j)},i∈V.

3.

Maximize {2∑_e∈Ex_e−F|{i∈V:∑_e∈δ(i)x_e=1}|}.

We show that this problem is solvable in strongly polynomial time. Our primary focus in this paper is on obtaining the structure of the optimal solution for an arbitrary instance of the problem.     

Origin在太阳能电池基本特性测定实验中的数据处理及分析

本文测试了太阳能电池的输出特性,并利用Origin软件对实验数据进行了计算、绘图和数据拟合,得到较好的实验结果.表明Origin软件为大学物理实验提供了一种简便、适用的实验数据处理方法,提高了实验教学效果.     

环境因子对东湖几种沉水植物生理的影响研究

报道了光照强度、水体温度及水体ｐＨ值对东湖５种沉水植物生理的影响．实验结果表明，在一定温度范围内，５种植物的光补偿点均随温度的升高而上升，且种间有较大的差异．各植物光合色素的含量，受生态因子的影响，表现出一定的适应性．５种植物对水体高ｐＨ值耐受能力有明显的差异．探讨了富营养化湖泊沉水植物消亡的原因及生态分布的规律，提出了富营养化湖泊水生植被的恢复及水生生态系统重建中的植物选种原则．     

鄱阳湖三维水质模拟软件设计与仿真

随着鄱阳湖生态经济区建设的推进,鄱阳湖水环境保护问题引起了各方高度关注。通过建立水质数学模型,用计算机进行模型求解、模拟和预测,以及设计相应的水质模拟仿真软件来进行水污染扩散仿真,是水污染控制和水环境管理的有效手段。鉴于国外三维水质数据模拟软件价格高、使用受限以及鄱阳湖三维水质数据模拟的特定应用研究需求,利用软件工程的结构化方法和图形可视化技术,设计了一个面向鄱阳湖三维水质数据模拟和分析的软件工具WSAT/H3D-PYH。通过使用该软件进行BOD和DO扩散模拟和趋势预测实验表明,软件具有较好的预测精度,并能以可视化形式直观分析和预测未来一段时间湖区水质浓度的变化趋势。此外,软件还可对局部点污染源扩散进行动态模拟,以便于对突发污染事件可能造成的后果进行提前的估计,为后续治理方案措施的制定提供很好的依据。     

An efficient solution for resolving iTRAQ and TMT channel cross‐talk

Isobaric tagging reagents such as isobaric tag for relative and absolute quantitation (iTRAQ) and tandem mass tag (TMT) typically have isotopic impurities that cause significant cross‐talk between channels. Here, we present an efficient solution to compensate for channel cross‐talk using linear algebra and find that it is between 20× and 120× faster than previous methods. We also find that the effects of channel cross‐talk are as important to manage as the effects of ratio compression because of precursor impurities, and we have released an open‐source tool to perform both types of calculations.     

BS-RNA: An efficient mapping and annotation tool for RNA bisulfite sequencing data

Cytosine methylation is one of the most important RNA epigenetic modifications. With the development of experimental technology, scientists attach more importance to RNA cytosine methylation and find bisulfite sequencing is an effective experimental method for RNA cytosine methylation study. However, there are only a few tools can directly deal with RNA bisulfite sequencing data efficiently. Herein, we developed a specialized tool BS-RNA, which can analyze cytosine methylation of RNA based on bisulfite sequencing data and support both paired-end and single-end sequencing reads from directional bisulfite libraries. For paired-end reads, simply removing the biased positions from the 5′ end may result in “dovetailing” reads, where one or both reads seem to extend past the start of the mate read. BS-RNA could map “dovetailing” reads successfully. The annotation result of BS-RNA is exported in BED (.bed) format, including locations, sequence context types (CG/CHG/CHH, H = A, T, or C), reference sequencing depths, cytosine sequencing depths, and methylation levels of covered cytosine sites on both Watson and Crick strands. BS-RNA is an efficient, specialized and highly automated mapping and annotation tool for RNA bisulfite sequencing data. It performs better than the existing program in terms of accuracy and efficiency. BS-RNA is developed by Perl language and the source code of this tool is freely available from the website: http://bs-rna.big.ac.cn.