The 3-connected binary matroids with circumference 6 or 7

In this paper, we construct all 3-connected binary matroids with circumference equal to 6 or 7 having large rank.     

CE methods for analysis of isoforms of prostate-specific antigen compatible with online derivatization for LIF detection

Prostate-specific antigen (PSA) is the usual biomarker for prostate cancer (PCa). However, its lack of selectivity has lead to the search for new biomarkers. PSA glycosylation seems to depend on the pathophysiological conditions of the individual. Thus, methods to separate PSA isoforms (peaks) to study their role as PCa markers are needed. In this work, CE methods for PSA isoforms separation, based on the use of different dynamic coatings, are developed using UV detection. Three complementary CE methods allowing the separation of 8 or 9 PSA isoforms are selected. The longest method takes only 17?min, while the shortest one separates 9 isoforms in < 8?min. Depending on the isoforms of interest for their use as PCa biomarker, the CE method to be used can be chosen or various of them can be combined. A remarkable aspect of these methods is that the BGEs employed are devoid of compounds with primary amino groups, making the CE methods compatible with fluorescent on-column derivatization through amino residues. As a proof-of-concept, a preliminary result shows that LIF detection of labeled PSA analyzed by one of the three developed methods permits detection of glycoprotein isoforms.     

Exploring the thermochromism of sulfite-embedded polyoxometalate capsules

The Dawson-type polyanion [α-Mo(18)O(54)(SO(3))(2)](4-), with two SO(3)(2-) templates embedded inside a polyoxomolybdate(vi) cage, exhibits thermochromism over an exceptionally wide temperature range (～500 K). The temperature dependence of the cluster structure, established from X-ray crystallography, IR and Raman spectroscopy and DFT calculations, is related to a decreasing HOMO-LUMO gap in the near UV with increasing temperature. We postulate this is due to geometrical changes that affect both the occupied and unoccupied frontier molecular orbitals of this cluster anion.     

Multilevel Monte Carlo in approximate Bayesian computation

In the following article, we consider approximate Bayesian computation (ABC) inference. We introduce a method for numerically approximating ABC posteriors using the multilevel Monte Carlo (MLMC). A sequential Monte Carlo version of the approach is developed and it is shown under some assumptions that for a given level of mean square error, this method for ABC has a lower cost than i.i.d. sampling from the most accurate ABC approximation. Several numerical examples are given.     

Design and Tuning of Photoswitches for Solar Energy Storage

Current energy demand makes it compulsory to explore alternative energy sources beyond fossil fuels. Molecular solar thermal (MOST) systems have been proposed as a suitable technology for the use and storage of solar energy. Compounds used for this application need to fulfil a long series of requirements, being the absorption of sunlight and the energy stored some of the most critical. In this paper, we study different families of well-known molecular photoswitches from the point of view of their potential use as MOST. Starting from basic structures, we use density functional theory (DFT) computational modelling to propose two different strategies to increase the energy difference between isomers and to tune the absorption spectrum. The inclusion of a mechanical lock in the structure, via an alkyl chain and the presence of a hydrogen bonding are shown to directly influence the energy difference and the absorption spectra. Results shown here prove that these two approaches could be relevant for the design of new compounds with improved performance for MOST applications.     

A novel analog fuzzy controller for intelligent sensors

A new analog fuzzy logic controller implemented in CMOS technology is described. The chosen membership function generator keeps the needed area for the inference engine very small while giving a big flexibility in the configuration of the membership function. The proposed solution for defuzzification gives an additional area reduction over earlier implementations. High speed, low power fuzzy controller hardware make the chip appropriate for intelligent sensor application. Simulation results as well as test measurements are presented and discussed to illustrate the properties and robustness of the proposed circuit.