Novel delay-distribution-dependent stability analysis for continuous-time recurrent neural networks with stochastic delay

<正>In this paper,the problem of delay-distribution-dependent stability is investigated for continuous-time recurrent neural networks(CRNNs) with stochastic delay.Different from the common assumptions on time delays,it is assumed that the probability distribution of the delay taking values in some intervals is known a priori.By making full use of the information concerning the probability distribution of the delay and by using a tighter bounding technique(the reciprocally convex combination method),less conservative asymptotic mean-square stable sufficient conditions are derived in terms of linear matrix inequalities(LMIs).Two numerical examples show that our results are better than the existing ones.     

Engineering and characterization of mesoporous silica-coated magnetic particles for mercury removal from industrial effluents

Mesoporous silica coatings were synthesized on dense liquid silica-coated magnetite particles using cetyl-trimethyl-ammonium chloride (CTAC) as molecular templates, followed by sol-gel process. A specific surface area of the synthesized particles as high as 150 m²/g was obtained. After functionalization with mercapto-propyl-trimethoxy-silane (MPTS) through silanation reaction, the particles exhibited high affinity of mercury in aqueous solutions. Atomic force microscopy (AFM), zeta potential measurement, thermal gravimetric analysis (TGA), analytical transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS) and atomic absorption spectroscopy (AAS) were used to characterize the synthesis processes, surface functionalization, and mercury adsorption on the synthesized magnetite particles. The loading capacity of the particles for mercury was determined to be as high as 14 mg/g at pH 2. A unique feature of strong magnetism of the synthesized nanocomposite particles makes the subsequent separation of the magnetic sorbents from complex multiphase suspensions convenient and effective.     

偏振法测葡萄糖浓度的光强分析简

通过对旋光仪三分视场内的光强分析,对“零度视场”法和“三分视场明暗对比最大”的方法进行了详细的讨论。结果表明,采用“三分视场明暗对比最大”法在多数情况下更适合人眼感光定标,可以保证测量数据精度。“零度视场”法只在相位延迟角较小,三分视场由中间暗、两边亮变化到中间亮、两边暗过程中适用性较好。     

Combining Metabolic Alkyne Labeling and Click Chemistry for Secretome Analysis of Serum-Containing Conditioned Medium

Main observation and conclusion Bioorthogonal click chemistry has emerged as a powerful tool for the specific modification of proteins in complex mixtures.Metab...     

Superhydrophobic Flexible Supercapacitors Formed by Integrating Hydrogel with Functional Carbon Nanomaterials

Main observation and conclusion With the rapid development of the wearable electronics,the flexible supercapacitor with high energy density has attracted more a...     

纵磁作用下真空电弧单阴极斑点等离子体射流三维混合模拟

真空电弧的特性直接受到从阴极斑点喷射出的等离子体射流的影响,对等离子体射流进行数值仿真有助于我们深入了解真空电弧的内部物理机制.然而,磁流体动力学和粒子云网格仿真方法受限于计算精度和计算效率的原因,无法有效地应用于真空电弧等离子体射流仿真模拟.本文开发了一套三维等离子体混合模拟算法,并在此基础上建立了真空电弧单阴极斑点...     

基于自组装膜的光纤错位型氨气传感器

演示了一种基于单壁碳纳米管（SWCNTs）-聚合物自组装复合膜的光纤错位型氨气传感器。通过层层自组装技术在高Q谐振器上涂覆薄膜,薄膜上存在大量的游离羧基以及较大的比表面积,这提供了光与薄膜之间的强相互作用,以及对氨气的高吸附性和选择性。光谱随氨气浓度影响的有效折射率而变化。在(10～37) ×10⁻⁶的低浓度范围内,光谱变化与氨气浓度差之比即灵敏度为13.25 pm/10⁻⁶,检测极限为3.77 ×10⁻⁶并且具有良好的线性。这项工作研制为低浓度和高选择性氨气传感器提供了一种有效的方法。     

N掺杂SnO2材料光电性质的第一性原理研究

采用全电势线性缀加平面波(full potential linearized augmented plane wave method,简记为FP-LAPW)方法,基于密度泛函理论第一性原理计算分析N掺杂SnO₂材料,研究了在N替代O原子和N替代Sn原子情况下的电子态密度、电荷密度分布以及光学性质.研究表明N掺杂替代Sn较之N掺杂替代O原子的带隙要宽,都宽于SnO₂的本征带隙,且两种情况下N分别处于负氧化态和正氧化态,其介电函数谱也与带隙对应发生蓝移,从理论上指出     

细菌视紫红质高分辨图象存储中吸收和散射现象的实验研究

本文利用细菌视紫红质变种材料BR_D96N的基态和M态实现了图象的高分辨存储.实验研究了该样品的吸收特性;在此基础上分析了散射光对BR膜图象质量的影响,并通过合理的控制激发光强和激发时间在BR膜样品上得到分辨率为800lp/mm的高分辨图象.     

大口径光学合成孔径成像技术发展现状

简明介绍了光学合成孔径的两种成像方式和光学波段合成孔径的发展概况。全面介绍镜面拼接、稀疏孔径和位相阵列3种合成孔径结构系统国内外发展现状。归纳出了目前光学合成孔径技术在天基和地基观测系统的发展趋势及技术难题。与传统单一口径的光学系统相比,光学合成孔径系统具有更高的分辨率、镜面加工难度低、易折叠、重量轻等特点,是实现高分辨率光学成像系统的一种重要且有效途径。