试论研究创新型实验的潜科学方法

针对研究创新型实验的思想方法与潜科学的思想方法的相关性,首次将潜科学方法融人研究创新型实验的工作之中,弥补了以往轻思想方法培养,轻潜能开发,轻素质教育的缺陷,为培养学生的综合实践能力,起到了很好的推动作用,由此也为研究创新型实验的探讨开辟了新的领域。     

Durable Mesenchymal Stem Cell Labelling by Using Polyhedral Superparamagnetic Iron Oxide Nanoparticles

Small polyhedral superparamagnetic iron oxide (SPIO) nanoparticles (<10 nm) coated with a thin layer of silica were prepared (SPIO@SiO₂ and SPIO@SiO₂‐NH₂). Surface modification of the small polyhedral silica‐coated SPIO nanoparticles with amines led to substantially higher mesenchymal stem cell (MSC) labelling efficiency without the use of additional transfecting agents. Therefore, amine surface‐modified nanoparticles (SPIO@ SiO₂‐NH₂) appeared to be the preferred candidate for MSC labelling. In vitro studies demonstrated that controlled labelling of SPIO@SiO₂ and SPIO@SiO₂‐NH₂ did not cause MSC death or proliferation inhibition. MSCs labelled with SPIO@SiO₂‐NH₂ nanoparticles retained differentiation potential and showed osteogenic, adipogenic and chondrogenic differentiations. The noncytotoxic polyhedral SPIO@SiO₂‐NH₂ nanoparticle‐labelled MSCs were successfully implanted in rabbit brain and erector spinae muscle, and demonstrated long‐lasting, durable MRI labelling efficacy after 8–12 weeks.     

Molecular Photoacoustic Tomography with Colloidal Nanobeacons

Spotting clots : Vascularly constrained colloidal gold nanobeacons (GNBs; see picture) can be used as exogenous photoacoustic contrast agents for the targeted detection of fibrin, a major biochemical feature of thrombus. Fibrin‐targeted GNBs provide a more than tenfold signal enhancement in photoacoustic tomography in the near‐IR wavelength window, indicating their potential for diagnostic imaging.

     

基于MANET的移动学习及其系统构建研究

移动自组网（MANET）是一种具有高度动态拓扑结构、节点任意移动的无线移动通信网络。针对MANET的特点及其应用,探讨了基于MANET的移动学习及其系统构建,并通过JisT／SWANS平台进行仿真实验,仿真结果证明MANET具有良好的通信性能。基于MANET的移动学习系统,能够实现随时随地、快速、有效的学习及资源共享,促进教育公平和教育资源效益的最大化。     

模糊控制在光伏水泵灌溉系统中的应用

在水泵灌溉系统中利用太阳能作为动力,可解决边远地区能源动力缺乏难题。考虑到光伏电池的输出特性随负载及外界环境的变化而变化,在灌溉器的控制模块中引入模糊控制技术,通过DC/DC变换器通流率的变化量随模糊规则可变的控制,使太阳电池阵列始终处于最大功率输出状态,提高光伏器件的效能、获得最大扬水量。仿真实验结果显示,该系统具有比用功率比较法捕捉太阳电池阵列最大功率点更快且脉动小的特点。     

Exact analytical and numerical solutions of stability problems for a straight composite bar subjected to axial compression and torsion

Based on linearized equations of the theory of elastic stability of straight composite bars with a low shear rigidity, which are constructed using the consistent geometrically nonlinear equations of elasticity theory for small deformations and arbitrary displacements and a kinematic model of Timoshenko type, exact analytical solutions of nonclassical stability problems are obtained for a bar subjected to axial compression and torsion for various modes of end fixation. It is shown that the problem of direct determination of the critical parameter of the compressive load at a given torque parameter leads to transcendental characteristic equations that are solvable only if bar ends have cylindrical hinges. At the same time, we succeeded in obtaining solutions to these equations in terms of wave formation parameters of the bar; these parameters, in turn, enabled us to find the parameter of the critical load at any boundary conditions. Also, an algorithm for numerical solution of the problems stated is proposed, which is based on reducing the problems to systems of integroalgebraic equations with Volterra-type operators and on solving these equations by the method of mechanical quadratures (finite sums). It is demonstrated that such numerical solutions exist only for certain ranges of parameters of the bar and of the parameter of torque. In the general case, they can not be obtained by the numerical method used. It is also shown that the well-known solutions of the stability problem for a bar subjected to torsion or to compression with torsion are in correct. Translated from Mekhanika Kompozitnykh Materialov, Vol. 45, No. 2, pp. 167–200, March–April, 2009.     

A selective view of stochastic inference and modeling problems in nanoscale biophysics

Advances in nanotechnology enable scientists for the first time to study biological processes on a nanoscale molecule-by-molecule basis. They also raise challenges and opportunities for statisticians and applied probabilists. To exemplify the stochastic inference and modeling problems in the field, this paper discusses a few selected cases, ranging from likelihood inference, Bayesian data augmentation, and semi- and non-parametric inference of nanometric biochemical systems to the utilization of stochastic integro-differential equations and stochastic networks to model single-molecule biophysical processes. We discuss the statistical and probabilistic issues as well as the biophysical motivation and physical meaning behind the problems, emphasizing the analysis and modeling of real experimental data. This work was supported by the United States National Science Fundation Career Award (Grant No. DMS-0449204)     

Models as lab equipment: science from computational experiments

Computer models are artifacts that facilitate conducting computational experiments. In that sense they are laboratory equipment. The utility of a piece of laboratory equipment comes from the range of useful experiments it supports. However, general purpose models are in general much more costly to create and maintain. Consequently, issues regarding the design of computer models are best understood as pragmatic questions regarding the costs and utility of alternative designs.

高师数学专业学生实验能力培养的理论研究与实践

数学实验活动是提高学生数学素养,提高学生应用能力和创造能力的有效途径.高师院校学生肩负着未来培养中小学生的数学探究能力和创造能力的重大使命.因此,高师院校数学实验的教学改革研究具有双重的意义.本文通过对高师院校数学实验课程体系改革的理论研究与教学实践,探讨了高师院校数学实验教学的一条新路,提供了适合高师院校学生数学实验能力培养的新教学模式和新途径.     

Stripping of photoresist on silicon wafer by CO(2) supercritical fluid

Supercritical CO₂-based fluid is not only being considered as environmentally benign medium for photoresist (PR) removal in electronic device manufacture, but also capable of challenging feature dimensions. Despite many attractive properties, clear supercritical CO₂ has little solvating power for PR. Here, two acetate modifiers were selective to add in the CO₂ and evaluated individual contribution to the overall stripping rate by factorial experiment design, which included four other factors with four level ranges for each one and concluded the best 90% extraction efficiency would be obtained under the optimized parameters: 2.5 min static time, 35 min dynamic time, 1.25 ml ethylacetate spiked, 125 °C oven temperature and 480 atm CO₂ pressure. As analyzing the variances of these contributors to this system, it disclosed that dynamics controlled the stripping mechanism before near 35 min purging but thermodynamics took over after then; and that increasing pressure was more competent for removing PR than increasing temperature. All supercritical extracts were from two commercial PR coated on two substrates and analyzed by UV absorption spectrometry. Removing PR coated on silicon oxide layer was easier than that on Al-Cu alloy one.