单细胞核酸编码扩增成像分析

单细胞成像可在单细胞水平观测目标物位置、 确定目标物含量, 在生命科学与临床医学研究领域应用广泛. 核酸编码扩增技术利用特定分子反应将待测目标识别转化为核酸条码的扩增, 具有探针种类多、 易编程、 反应条件温和及信号放大效率高等特点, 在单细胞低丰度、 高灵敏、 多目标物成像中优势显著, 为理解细胞状态、 探索生命过程提供了新思路. 本文综合评述了核酸编码扩增在单细胞荧光成像领域的研究进展, 以目标物的编码方式为分类依据, 系统阐述了固定细胞原位成像和活细胞成像中不同目标物编码与扩增成像方式的区别, 并对活细胞成像中多重检测面临的问题以及未来发展前景进行了展望.     

Mutual Diffusion Driven NMR: a new approach for the analysis of mixtures by spatially resolved NMR spectroscopy

We introduce a new approach for resolving the NMR spectra of mixtures that relies on the mutual diffusion of dissolved species when a concentration gradient is established within the NMR tube. This is achieved by cooling down a biphasic mixture of triethylamine and deuterated water below its mixing temperature, where a single phase is expected. Until equilibrium is reached, a gradient of concentration, from ‘pure’ triethylamine to ‘pure’ water, establishes within the tube. The amount of time required to reach this equilibrium is controlled by the mutual diffusion coefficient of both species. Moreover, a gradient of concentration exists for each additional compound dissolved in this system, related to the partition coefficient for that compound in the original biphasic state. Using slice selective experiments, it was possible to measure these concentration gradients and use them to separate signals from all the present species. We show the results acquired for a mixture composed of n‐octanol, methanol, acetonitrile and benzene and compare them with those obtained by pulse field gradient NMR. Copyright © 2016 John Wiley & Sons, Ltd.     

具有遗传性疾病和性状的遗传位点分析

随着信息技术的进步和发展,现代生物学越来越多地将这些技术用于大规模生物数据的收集、分析、挖掘等过程.大量计算机技术,特别是统计方法被用来进行复杂疾病的分析.大量研究表明,人体的许多表型性状差异以及对药物和疾病的易感性等都可能与某些位点相关联,或和包含有多个位点的基因相关联.因此,定位与性状或疾病相关联的位点在染色体或基因中的位置,能帮助研究人员了解性状和一些疾病的遗传机理,也能使人们对致病位点加以干预,防止一些遗传病的发生.利用随机森林方法、Bootstrap重抽样、logistic回归等大数据分析方法,意在解决优化生物学位点关联性分析中单一致病位点识别、多位点相互作用和多性状位点关联性分析等子问题.     

改进差分进化算法求解装载率凹费用装箱问题

研究了广泛存在于物流作业中一类新型的装箱问题,主要特征体现在箱子使用费用是关于装载率的凹函数。为求解问题,提出了一种基于分组编码策略的改进差分进化算法,以避免常规实数和整数编码方法存在放大搜索空间的不足。针对分组编码策略,定制化设计了以促进优秀基因传播为导向的新型变异和交叉操作,另外还嵌入了以物品置换为邻域的自适应局部搜索操作以增强局部搜索能力。对以往文献给出算例在不同凹费用函数下进行测试,实验结果显示所提出的算法明显优于BFD启发式算法,并且较遗传算法也有显著性改进。     

改进游程编码在天气雷达数据压缩中的应用

为了有效地传输和存储海量遥感数据,必须研究符合遥感应用的压缩技术。通过研究传统的熵编码方法,结合雷达体扫数据的相关性,提出了一种基于改进游程编码的综合无失真压缩算法,应用于天气雷达原始数据压缩。实验结果表明,所给算法优于传统算法及目前流行的压缩软件。     

改进的布谷鸟算法求解考虑运输时间的分布式柔性流水车间调度问题

针对分布式制造环境下多车间调度问题特点,结合企业实际生产情况,考虑相邻工序间的运输时间,建立以最小化最大完工时间为优化目标的分布式柔性流水车间调度模型,提出一种改进布谷鸟算法用于求解该模型。算法改进包括设计了一种基于工序、车间和机器的三层编码方案;根据问题特点设计了混合种群初始化策略以提高种群质量;改进了布谷鸟搜索操作使其适用于求解该模型;设计了一种种群进化策略以提高算法收敛速度及解的质量。最后通过仿真实验,与多种算法对比,验证所提算法的有效性和优越性。     

Simple Explanation of the No-Free-Lunch Theorem and Its Implications

The no-free-lunch theorem of optimization (NFLT) is an impossibility theorem telling us that a general-purpose, universal optimization strategy is impossible. The only way one strategy can outperform another is if it is specialized to the structure of the specific problem under consideration. Since optimization is a central human activity, an appreciation of the NFLT and its consequences is essential. In this paper, we present a framework for conceptualizing optimization that leads to a simple but rigorous explanation of the NFLT and its implications.     

Near Best Tree Approximation

Tree approximation is a form of nonlinear wavelet approximation that appears naturally in applications such as image compression and entropy encoding. The distinction between tree approximation and the more familiar n-term wavelet approximation is that the wavelets appearing in the approximant are required to align themselves in a certain connected tree structure. This makes their positions easy to encode. Previous work [4,6] has established upper bounds for the error of tree approximation for certain (Besov) classes of functions. This paper, in contrast, studies tree approximation of individual functions with the aim of characterizing those functions with a prescribed approximation error. We accomplish this in the case that the approximation error is measured in L ₂, or in the case p2, in the Besov spaces B _p ⁰(L _p ), which are close to (but not the same as) L _p . Our characterization of functions with a prescribed approximation order in these cases is given in terms of a certain maximal function applied to the wavelet coefficients.     

基于旋转二维发光二极管阵列的体三维显示系统

利用发光二极管 (LED)的高速发光特性 ,以旋转的二维发光二极管阵列为显示载体 ,通过时分寻址电路快速显示三维形体的二维截面序列。受调制的离散二维图像信息 ,因视觉暂留而形成深度效应 ,将被整合感知为一幅连续的三维图像。成功实现了具有 4 915 2个体像素 ,尺寸为14 4 .6mm× 110mm的柱体空间内的三维显示 ,图像具有双目视差、调节、会聚等常规视差信息 ,能提供真实的深度暗示 ,可同时从任意角度直接观察。论述了系统的显示原理及图像编码分解方法 ,分析和讨论了显示质量与体像素优化选取、起始位置显示信息的关联程度     

两层阵列二的补码复数并行算法及其光学实现

提出了直接的二的补码阵列算法，基于混合二的补码表达方式，加法，减法和阵列乘法都能全并行地实现。直接算法克服了传统算法中存在的困难，即原理上对操作数的编码位数无限制，更有效地利用了空间带宽积，卷积后的序更直接加权求和即为两数的乘积，复数运算由包含四个区域的两层阵列完成，并进行了光学实验。