High‐Dimensional Dynamic Panel with Correlated Random Effects: A Semiparametric Hierarchical Empirical Bayes Approach

A novel multivariate dynamic panel data analysis with correlated random effects is proposed for estimating high-dimensional parameter spaces. A semiparametric hierarchical Bayesian strategy is used to jointly address incidental parameters, endogeneity issues, and model mis-specification problems. The underlying methodology involves an ad-hoc model selection based on conjugate informative proper mixture priors to select promising subsets of predictors affecting outcomes. Monte Carlo algorithms are then conducted on the resulting submodels to construct empirical Bayes estimators and investigate ratio-optimality and posterior consistency for forecasting purposes and policy issues. An empirical approach is applied to a large panel of economies, describing the functioning of the model. Simulations based on Monte Carlo designs are also performed to account for relative regrets dealing with cross-sectional heterogeneity

Chemical Constituents of the Aquatic Plant Schoenoplectus lacustris: Evaluation of Phytotoxic Effects on the Green Alga Selenastrum capricornutum.

Forty-nine secondary metabolites were isolated from aqueous and alcoholic extracts of the aquatic plant Shoenoplectus lacustris. All compounds were characterized based on spectroscopic data. Eleven free and glycosylated low-molecular polyphenols, 17 cinnamic acid and dihydrocinnamic acid derivatives, 11 flavonoids, and 10 C13 nor-isoprenoids were identified. The structure of the new compound, 1-benzoyl-glycerol-2-a-L-arabinopyranoside, was elucidated by 2D NMR experiments (COSY, HSQC, HMBC, NOESY). To evaluate potential phytotoxic effects, all compounds were tested on the green alga Selenastrum capricornutum, a unicellular organism commonly used in tests of toxicity as a bioindicator of eutrophic sites. The most active compound was (j)-catechin, showing an inhibition similar to that of the algaecide CuSO4

Synthesis of glass nanocomposite powders

The aim of the present study was to synthesize CaO·GeO2 nanocomposite poweders glasses. The sample were prepared to 1450°C°. To investigate the structure of the samples, Differential Thermal Analysis (DSC), X-ray diffraction and Fourier Transform Infrared (FTIR) spectroscopy were used. The main crystallising phase was found to be CaGe205 crystals. The molar ratio of Ge06/Ge04 groups increases with the CaO·GeO2 molar ratio. Furthermore, in order to study the potential antibacterial properties of the materials the Gram-negative (Escherichia coli) bacteria was used and the diameter of zone of inhibition was observed

Unusual sesquiterpene glucosides from Amaranthus retroflexus

Abstract—Implementing the phytochemical study of the weed Amaranthus retroflexus, four new sesquiterpene glucosides were isolated from the methanolic extract of the plant. The structures of these metabolites are determined on the basis of the mass spectrometry, and 1D and 2D NMR spectroscopies (DQ-COSY, TOCSY, HSQC, HSQC–TOCSY, HMBC, and NOESY). Two compounds are characterized by a new aglycone and differed from the site of glucosylation. The other two compounds are dimeric diastereoisomers. All the glucoside sesquiterpenes were tested on the wild species Taraxacum officinale to evaluate the role of this weed in the habitat and on the seed of A. retroflexus to verify the potential autotoxic effect of the plant