考虑多阶段决策信息集结的新算法及其应用

针对多阶段区间信息集结与决策问题,提出一种考虑最小化集结矩阵与阶段区间矩阵之间距离的新方法,寻求更趋近帕累托最优的集结结果,使最终评价值更符合多阶段评价的目标。 首先,根据多阶段专家评价值将区间信息转化为二维坐标点,并将其映射到二维坐标系中。然后,构建区间信息离差最小化集结模型,并基于植物模拟生长算法(PGSA）进行群体判断信息的集结,再通过合成各方案的属性评价值,给出各决策方案的综合评价值并进行排序,进而给出最优决策方案。最后,以物流服务商的多阶段绩效评价为例,验证了该方法的合理性和有效性。     

（±）－蛇床酞内酯及其立体异构体的合成

（±）－蛇床酞内酯及其立体异构体的合成王兴明，李绍白，李裕林（兰州大学应用有机国家重点实验室，兰州大学有机化学研究所兰州７３００００）关键词蛇床酞内酯，立体异构体，合成蛇床酞内酯（３Ｓ、３ａＳ、７ａＲ－３－正丁基－３ａ、４、５、７ａ－四氢苯酞）（１）...     

Optical Correlator and Photorefractive Two－wave Mixing Based Neural Recongnition

ＯｐｔｉｃａｌＣｏｒｒｅｌａｔｏｒａｎｄＰｈｏｔｏｒｅｆｒａｃｔｉｖｅＴｗｏ－ｗａｖｅＭｉｘｉｎｇＢａｓｅｄＮｅｕｒａｌＲｅｃｏｎｇｎｉｔｉｏｎ￥ＦＵＸｉａｏｌｉ；ＬＩＹｕｌｉｎ（Ｘｉ＇ａｎＩｎｓｔｉｔｕｔｅｏｆＯｐｔｉｃｓａｎｄＦｉｎｓＭｅｃｈａｎ...     

Selective and Sequential Re‐Assembly of Patterned Block Copolymer Thin Film for Fabricating Polymeric,Inorganic, and Their Composite Nanostructured Arrays

We report that the nanostructures of poly(styrene‐block‐4‐vinylpyridine) block copolymer (PS‐b‐P4VP) thin film on a wafer substrate can be re‐assembled by sequential vapor treatment using selected solvents. Metal or other inorganic nanoparticles that were randomly pre‐loaded inside or on the surface of PS‐b‐P4VP thin film could be pulled to the rim of PS and P4VP along with the movements of PS and P4VP blocks during the treatment. As a result, the patterned polymeric or inorganic/polymer composite nanoisland and nanoring arrays were fabricated.

     

Synthesis of 2,4-disubstituted 5-aminoimidazoles using microwave irradiation

A microwave-assisted parallel synthesis of 2,4-disubstituted 5-aminoimidazoles has been developed. Significant rate enhancement was observed for all steps in the three-step protocol. The overall reaction time was shortened to 25 min, as compared to 53 h for the conventional procedures. A representative set of 2,4-disubstituted 5-aminoimidazoles was prepared using commercially available parallel reactors.     

Enhancement of atmospheric pressure chemical ionization for the determination of free and glycine-conjugated bile acids in human serum

A highly sensitive and accurate method based on the precolumn derivatization of bile acids (BA) with a high ionization efficiency labeling reagent 1,2-benzo-3,4-dihydrocarbazole-9-ethyl-benzenesulfonate (BDEBS) coupled with LC/MS has been developed. After derivatization, BA molecules introduced a weak basic nitrogen atom into the molecular core structure that was readily ionized in commonly used acidic HPLC mobile phases. Derivatives were sufficiently stable to be efficiently analyzed by atmospheric pressure chemical ionization (APCI)-MS/MS in positive-ion mode. The MS/MS spectra of BA derivatives showed an intense protonated molecular ion at m/z [M + H]+. The collision-induced dissociation of the molecular ion produced fragment ions at [MH-H2O]+, [MH-2H2O]+, [MH-3H2O]+. The characteristic fragment ions were at m/z 320.8, 262.8, and 243.7 corresponding to a cleavage of N-CO, O-CO, and C-OCO, respectively, and bonds of derivatized molecules. The selected reaction monitoring, based on the m/z [M+H]+ --> [MH-H2O]+, [MH-2H2O]+, [MH-3H2O]+, 320.8, 262.8, and 243.7 transitions, was highly specific for the BA derivatives. The LODs for APCI in a positive-ion mode, at an S/N of 5, were 44.36-153.6 fmol. The validation results showed high accuracy in the range of 93-107% and the mean interday precision for all standards was <15% at broad linear dynamic ranges (0.0244-25 nmol/mL). Good linear responses were observed with coefficients of > 0.9935 in APCI/MS detection. Therefore, the facile BDEBS derivatization coupled with mass spectrometric analysis allowed the development of a highly sensitive and specific method for the quantitation of trace levels of the free and glycine-conjugated BA from human serum samples.     

Radial basis function neural networks in non-destructive determination of compound aspirin tablets on NIR spectroscopy

The application of the second most popular artificial neural networks (ANNs), namely, the radial basis function (RBF) networks, has been developed for quantitative analysis of drugs during the last decade. In this paper, the two components (aspirin and phenacetin) were simultaneously determined in compound aspirin tablets by using near-infrared (NIR) spectroscopy and RBF networks. The total database was randomly divided into a training set (50) and a testing set (17). Different preprocessing methods (standard normal variate (SNV), multiplicative scatter correction (MSC), first-derivative and second-derivative) were applied to two sets of NIR spectra of compound aspirin tablets with different concentrations of two active components and compared each other. After that, the performance of RBF learning algorithm adopted the nearest neighbor clustering algorithm (NNCA) and the criterion for selection used a cross-validation technique. Results show that using RBF networks to quantificationally analyze tablets is reliable, and the best RBF model was obtained by first-derivative spectra.     

On inexact alternating direction implicit iteration for continuous Sylvester equations

In this paper, we study the alternating direction implicit (ADI) iteration for solving the continuous Sylvester equation AX + XB = C , where the coefficient matrices A and B are assumed to be positive semi‐definite matrices (not necessarily Hermitian), and at least one of them to be positive definite. We first analyze the convergence of the ADI iteration for solving such a class of Sylvester equations, then derive an upper bound for the contraction factor of this ADI iteration. To reduce its computational complexity, we further propose an inexact variant of the ADI iteration, which employs some Krylov subspace methods as its inner iteration processes at each step of the outer ADI iteration. The convergence is also analyzed in detail. The numerical experiments are given to illustrate the effectiveness of both ADI and inexact ADI iterations.     

Self-adjoint realization of a class of third-order differential operators with an eigenparameter contained in the boundary conditions

The present paper deals with a class of third-order differential operators with eigenparameter dependent boundary conditions. Using operator theoretic formulation, the self-adjointness of this operator is proved, the properties of spectrum are investigated, its Green function and the resolvent operator are also obtained.