Optimization of the quantitative direct solid total-reflection X-ray fluorescence analysis of glass microspheres functionalized with Zr organometallic compounds

Quantitative determination of Zr in the system constituted by quartz microspheres functionalized with two kinds of organometallic compounds has been studied due to the importance of the correct quantization of the Zr from a catalytic point of view. Two parallel approximations were done, i.e. acid leaching and direct solid quantization. To validate the acid leaching TXRF measures, ICP-MS analysis were carried out. The results obtained by means of the optimization of the quantitative direct solid procedure show that, with a previous particle size distribution modification, TXRF obtain the same analytical results as ICP-MS and TXRF by acid leaching way but without previous chemical acid manipulation. This fact implies an important improvement for the analysis time, reagents costs and analysis facility and it proves again the versatility of TXRF to solve analytical problems in an easy, quick and accurate way. Additionally and for the direct solid TXRF measurements, a deeper study was done to evaluate the intrinsic analytical parameters of the Zr TXRF analysis of this material. So, the influence of the particle size distributions (modified by means of a high power ultrasound probe) with respect to uncertainty and detection limits for Zr were developed. The main analytical conclusion was the strong correlation between the average particle sizes and the TXRF analytical parameters of Zr measurements, i.e. concentration, accuracy, uncertainty and detection limits.     

Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit

This paper seeks to bridge the two major algorithmic approaches to sparse signal recovery from an incomplete set of linear measurements—L₁-minimization methods and iterative methods (Matching Pursuits). We find a simple regularized version of Orthogonal Matching Pursuit (ROMP) which has advantages of both approaches: the speed and transparency of OMP and the strong uniform guarantees of L₁-minimization. Our algorithm, ROMP, reconstructs a sparse signal in a number of iterations linear in the sparsity, and the reconstruction is exact provided the linear measurements satisfy the uniform uncertainty principle.      

分光光度法测定室内空气中甲醛含量不确定度评定

对室内空气中甲醛含量分析测试过程的误差进行了辨别.在此基础上评定了分析结果的不确定度.不确定度主要来源于样品采集、样品处理、标准溶液、标准曲线制作以及其它仪器的使用.依据不确定度评定的步骤,分析和计算得到了各分量不确定度和合成不确定度.     

Inexact de Novo programming for water resources systems planning

This study presents an interval de Novo programming (IDNP) approach for the design of optimal water-resources-management systems under uncertainty. The model is derived by incorporating the existing interval programming and de Novo programming, allowing uncertainties represented as intervals within the optimization framework. The developed IDNP approach has the advantages in constructing optimal system design via an ideal system by introducing the flexibility toward the available resources in the system constraints. A simple numerical example is introduced to illustrate the IDNP approach. The IDNP is then applied to design an inexact optimal system with budget limit instead of finding the optimum in a given system with fixed resources in a water resources planning case. The results demonstrate that the developed method efficiently produces stable solutions under different objectives. Optimal supplies of good-quality water are obtained in considering different revenue targets of municipal–industrial–agricultural competition under a given budget.     

原子吸收光谱法测定土壤中有效铜和锌的不确定度评估

对火焰原子吸收光谱法测定土壤中的有效铜和锌含量不确定度进行评定,分析了整个检测过程产生不确定度的原因,给出扩展不确定度以及最终结果表示:有效铜5.8±0.056mg/kg,有效锌1.14±0.022mg/kg,并且分析产生不确定度的主要来源,为控制该方法测定土壤中有效铜和锌提供可靠的理论依据。     

自抗扰控制纵横谈

首先从不确定系统控制的角度,将自抗扰控制与其它一些有关不确定系统控制的理论与方法进行比较和讨论,然后围绕自抗扰控制理论分析方面的进展,以及需要进一步研究的课题进行深入讨论与总结.通过纵横两方面的讨论揭示自抗扰控制对推进不确定系统控制研究的贡献,以及自抗扰控制方法的突出特点.     

格值一阶逻辑系统LF(X)中的广义量词

给出格值一阶逻辑系统LF(X)中广义量词的定义,讨论了带广义量词的不确定性推理的性质,为语言值逻辑推理提供科学的逻辑平台。     

广义模糊粗糙集的不确定性度量

研究广义模糊粗糙集的不确定性问题,利用一种新的信息熵定义模糊粗糙集的模糊性度量,并给出这种度量的性质,证明当且仅当A是经典可定义集合时其模糊粗糙集的模糊性度量FR(A)等于0。     

Automated Generation of Microkinetics for Heterogeneously Catalyzed Reactions Considering Correlated Uncertainties**

The study presents an ab-initio based framework for the automated construction of microkinetic mechanisms considering correlated uncertainties in all energetic parameters and estimation routines. 2000 unique microkinetic models were generated within the uncertainty space of the BEEF-vdW functional for the oxidation reactions of representative exhaust gas emissions from stoichiometric combustion engines over Pt(111) and compared to experiments through multiscale modeling. The ensemble of simulations stresses the importance of considering uncertainties. Within this set of first-principles-based models, it is possible to identify a microkinetic mechanism that agrees with experimental data. This mechanism can be traced back to a single exchange-correlation functional, and it suggests that Pt(111) could be the active site for the oxidation of light hydrocarbons. The study provides a universal framework for the automated construction of reaction mechanisms with correlated uncertainty quantification, enabling a DFT-constrained microkinetic model optimization for other heterogeneously catalyzed systems.     

多项式混沌展开的浅海水声环境参数敏感度分析

水下声场是海洋环境参数的非线性函数,因此环境参数的不确定性必然会引起水下声场预测的不确定性,从而导致与声场预测相关的声呐探测和水声通信等设备性能的下降.该文将Sobol敏感度指数的计算与多项式混沌展开方法相结合,将敏感度指数表达为环境条件的函数,利用Q范数约束的双曲截断方案来减少多项式项数,有效地分析了设定的"浅海负梯...