Hydrophobic,amorphous metal–organic network readily prepared by complexing the aluminum ion with a siloxane spaced dicarboxylic acid in aqueous medium

A less common dicarboxylic acid with siloxane spacer, 1,3-bis(carboxypropyl)tetramethyldisiloxane, whose structure is for the first time determined crystallographically, is used to coordinate aluminum through an environment-friendly preparation process, resulting in a polymeric structure of amorphous metal–organic framework (aMOF) type. The high flexibility of the spacer induced by the siloxane bond gives the polymeric product a glass transition slightly below room temperature, while the long length of the former creates the premises for collapse of the network and consequently reduced porosity. At the same time, the high hydrophobicity of the tetramethyldisiloxane fragment and its low surface energy, which causes it to migrate to the air interface, gives the network low moisture sorption capacity guaranteeing the stability of its properties in a wet environment. The particulate complex, of the order of 1–200 nm, as generated by the synthesis, proves to be suitable as filler for silicone with outstanding reinforcement effect, without significantly affecting their transparency. The presence of the dimethylsiloxane units in the structure of both the matrix and the filler ensures good incorporation of the latter without the need for special compatibility treatments. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47144.     

The Politics of Textiles in the Romanian Contemporary Art Scene

This paper explores the means and ends to which textiles are employed by contemporary Romanian artists in their intermedial practices. The history of textile arts in Romania’s cultural-political sphere has received little academic attention in studies dedicated to recent history. The argument put forth is that tapestry, rugs, and other textiles associated in the past with undervalued housework or folk art—and ranked as a lower form of artistry in the artistic hierarchy—are reinvested with political, critical, and mnemonic meanings. The first section addresses the convoluted relationship between textile arts and Romania’s communist era during Nicolae Ceau?escu’s regime by highlighting the ways in which the authoritarian state supervised and controlled the production of so-called folk textile art to political ends. The next sections elaborate on the artistic production of Geta Br?tescu, Ana Lupa?, and Ion Grigorescu, all of whom produced contemporary textile art—often derogatively called “applied art”—whose meanings and purposes eluded the official requirements of national folk art. In the last section the paper scrutinizes the political, critical, and artistic comeback of textile arts as cultural memory since the fall of the communist regime in 1989.     

Hydrothermal-Freeze-Casting of Poly(amidoamine)-Modified Graphene Aerogels towards CO2 Adsorption

This article presents novel poly(amidoamine) (PAMAM) dendrimer-modified with partially-reduced graphene oxide (rGO) aerogels, obtained using the combined solvothermal synthesis-freeze-casting approach. The properties of modified aerogels are investigated with varying synthesis conditions, such as dendrimer generation (G), GO:PAMAM wt. ratio, solvothermal temperature, and freeze-casting rate. Scanning electron microscopy, Fourier Transform Infrared spectroscopy, Raman spectroscopy, X-ray photoelectron spectroscopy are employed to characterize the aerogels. The results indicate a strong correlation of the synthesis conditions with N content, N/C ratio, and nitrogen contributions in the modified aerogels. Our results show that the best CO₂ adsorption performance was exhibited by the aerogels modified with higher generation (G7) dendrimer at low GO:PAMAM ratio as 2:0.1 mg mL⁻¹ and obtained at higher solvothermal temperature and freeze-casting in liquid nitrogen. The enclosed results are indicative of a viable approach to modify graphene aerogels towards improving the CO₂ capture.     

Uncertainty quantification models for micro‐scale squeeze‐film damping

Two squeeze‐film gas damping models are proposed to quantify uncertainties associated with the gap size and the ambient pressure. Modeling of gas damping has become a subject of increased interest in recent years due to its importance in micro‐electro‐mechanical systems (MEMS). In addition to the need for gas damping models for design of MEMS with movable micro‐structures, knowledge of parameter dependence in gas damping contributes to the understanding of device‐level reliability. In this work, two damping models quantifying the uncertainty in parameters are generated based on rarefied flow simulations. One is a generalized polynomial chaos (gPC) model, which is a general strategy for uncertainty quantification, and the other is a compact model developed specifically for this problem in an early work. Convergence and statistical analysis have been conducted to verify both models. By taking the gap size and ambient pressure as random fields with known probability distribution functions (PDF), the output PDF for the damping coefficient can be obtained. The first four central moments are used in comparisons of the resulting non‐parametric distributions. A good agreement has been found, within 1%, for the relative difference for damping coefficient mean values. In study of geometric uncertainty, it is found that the average damping coefficient can deviate up to 13% from the damping coefficient corresponding to the average gap size. The difference is significant at the nonlinear region where the flow is in slip or transitional rarefied regimes. Copyright © 2010 John Wiley & Sons, Ltd.     

Stereochemical course of Escherichia coli RNase H

A new enzymatic method has allowed the assignment of the stereochemistry of E. coli RNase-H-assisted hydrolysis of RNA labelled within the scissile bond with (R(p))-phosphorothioate. This method is based on a stereospecific, two-step enzymatic conversion of cytidine 5'-[(18)O]phosphorothioate into the corresponding 5'-alpha-[(18)O]thiotriphosphate, which is then further used for stereospecific transfer of cytidine 5'-[(18)O]phosphorothioate to the 3'-OH group of a short oligonucleotide with the aid of terminal deoxyribonucleotidyl transferase. Matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry of the resulting elongated primer revealed that RNase-H-assisted hydrolysis proceeds with inversion of configuration at the phosphorus atom. This result is discussed in the context of current knowledge of the architecture of the active site of the enzyme.     

Fibrinolysis during pregnancy. The pre- and postpartal changes

Our previous research as well as data in literature (Yuasas, Ishizawa M.--1992) emphasised increased plasma fibrinolytic activity (PFA) in women during labor. Starting from these data we have tried to observe plasma fibrinolytic activity studied through euglobulin lysis time (ELT) in women during pregnancy and after delivery. We studied 25 healthy pregnant women aged between 18 and 30 years which were tested in the seventh month, during labour and at 48 hours after delivery. Blood samples were taken from the antecubital vein by venous puncture. The study showed an increased PFA (shortened ELT) only during labor; in the seventh month and at 48 hours after delivery ELT had almost the same values.     

A voting-based computational framework for visual motion analysis and interpretation

Most approaches for motion analysis and interpretation rely on restrictive parametric models and involve iterative methods which depend heavily on initial conditions and are subject to instability. Further difficulties are encountered in image regions where motion is not smooth-typically around motion boundaries. This work addresses the problem of visual motion analysis and interpretation by formulating it as an inference of motion layers from a noisy and possibly sparse point set in a 4D space. The core of the method is based on a layered 4D representation of data and a voting scheme for affinity propagation. The inherent problem caused by the ambiguity of 2D to 3D interpretation is usually handled by adding additional constraints, such as rigidity. However, enforcing such a global constraint has been problematic in the combined presence of noise and multiple independent motions. By decoupling the processes of matching, outlier rejection, segmentation, and interpretation, we extract accurate motion layers based on the smoothness of image motion, and then locally enforce rigidity for each layer in order to infer its 3D structure and motion. The proposed framework is noniterative and consistently handles both smooth moving regions and motion discontinuities without using any prior knowledge of the motion model.     

An evolution algorithm for noise modeling of HEMT’s down to cryogenic temperatures

The implementation of an Evolution Algorithm (EA) for the cryogenic noise modeling of microwave devices has been the object of the present work. Several approaches exist to treat the modeling issue as far as advanced microwave transistors are concerned. The aim of such procedures is mostly oriented to extract a linear equivalent circuit including noise performance that allows to reproduce the global device behavior in a small signal regime. In the present paper, the authors show how EA’s can be employed to solve the noise modeling problem according to a black-box approach. The application refers to the simulation of the Noise Parameters of High Electron Mobility Transistors (HEMT) in the 6-18 GHz frequency range and down to cryogenic temperatures (90K) compared with experimental data. The quality of results indicates that EA techniques represent a truly alternative way to determine the microwave noise performance of HEMT devices, thus furnishing a flexible tool to support CAD of high sensitivity – ultra high speed circuits.