Nanoporous films obtained by sacrificial layer pulsed laser deposition

Integration of solid state gas sensors and solid oxide fuel cells into third generation microelectronic products requires the development of unique fabrication methods. Highly porous electrodes, critical to the performance of many gas dependent devices, typically require harsh production methods and high sintering temperatures that are incompatible with a variety of platforms including those based on silicon or glass. In this study, an alternative procedure for overcoming these problems has been developed. It is based on the synthesis of nano-porous films at reduced fabrication temperatures by means of the Sacrificial Layer Pulsed Laser Deposition (SL-PLD). SL-PLD utilizes simultaneous oxide and carbon deposition to deposit thin dense films. These amorphous films are then transformed into nano-porous perovskite films by thermal annealing in ambient air at 600 ºC. In this paper, an alternative process for the development of nano-porous thin films at reduced fabrication temperatures is presented. It takes advantage of the low temperatures needed for both carbon burn-off and the structural transformation of many perovskite oxides. This alternative method for thin film fabrication opens the possibility for low temperature fabrication of porous ceramic materials.     

IMS-IMS and IMS-IMS-IMS/MS for separating peptide and protein fragment ions

Multidimensional ion mobility spectrometry (IMS-IMS and IMS-IMS-IMS) techniques have been combined with mass spectrometry (MS) and investigated as a means of generating and separating peptide and protein fragment ions. When fragments are generated inside a drift tube and then dispersed by IMS prior to MS analysis, it is possible to observe many features that are not apparent from MS analysis alone. The approach is demonstrated by examining fragmentation patterns arising from electrospray ion distributions of insulin chain B and ubiquitin. The multidimensional IMS approach makes it possible to select individual components for collisional activation and to disperse fragments based on differences in mobility prior to MS analysis. Such an approach makes it possible to observe many features not apparent by MS analysis alone.     

Virtual Loom: a tool for the interactive 3D representation of historical fabrics

Multimedia Tools and Applications - 3D modelling of man-made objects is widely used in the cultural heritage sector, among others. It is relevant for its documentation, dissemination and...     

Ab initio electronic properties of dual phosphorus monolayers in silicon

In the midst of the epitaxial circuitry revolution in silicon technology, we look ahead to the next paradigm shift: effective use of the third dimension - in particular, its combination with epitaxial technology. We perform ab initio calculations of atomically thin epitaxial bilayers in silicon, investigating the fundamental electronic properties of monolayer pairs. Quantitative band splittings and the electronic density are presented, along with effects of the layers’ relative alignment and comments on disordered systems, and for the first time, the effective electronic widths of such device components are calculated.     

Resolving oligomers from fully grown polymers with IMS-MS

Ion mobility and mass spectrometry techniques, combined with electrospray ionization, have been used to examine distributions of poly(ethylene glycols) (PEG) with average molecular masses of 6550 and 17900 Da. The analysis provides information about the polymer size distributions as well as smaller oligomers existing over a wide range of charge states and sizes (i.e., [HO(CH2CH2O)xH + nCs]n+, where x ranges from 21 to 151 and n = 2 to 11 for the 6550 Da sample; and, x ranges from 21 to 362 and n = 2 to 23 for the 17 900 Da sample). The present data show that oligomer distributions also fall into families, corresponding to much narrower size distributions for individual charge states; this dramatically simplifies data analysis. For example, we show evidence for baseline resolution of the +10 charge state of polymers. Unlike the charge-state trends reported previously for peptide ion families, which show generally increasing mobilities with increasing charge state (for a given m/z value), the mobilities of [HO(CH2CH2O)xH + nCs]n+ families generally decrease with increasing charge state. This requires that the addition of charges leads to substantial changes in the average structures of the ions. Comparisons of cross section calculations from molecular modeling results for multiply cesiated PEG ions with experimental cross sections indicate that these ions adopt highly extended (in many cases nearly linear) conformations, except for the high degree of coordination of the charged sites.     

Automatic RNA secondary structure prediction with a comparative approach

This paper presents an algorithm, DCFold, that automatically predicts the common secondary structure of a set of aligned homologous RNA sequences. It is based on the comparative approach. Helices are searched in one of the sequences, called the 'target sequence', and compared to the helices in the other sequences, called the 'test sequences'. Our algorithm searches in the target sequence for palindromes that have a high probability to define helices that are conserved in the test sequences. This selection of significant palindromes is based on criteria that take into account their length and their mutation rate. A recursive search of helices, starting from these likely ones, is implemented using the 'divide and conquer' approach. Indeed, as pseudo-knots are not searched by DCFold, a selected palindrome (p, p') makes possible to divide the initial sequence into two sequences, the internal one and the one resulting from the concatenation of the two external ones. New palindromes can be searched independently in these subsequences. This algorithm was run on ribosomal RNA sequences and recovered very efficiently their common secondary structures.     

CMOS Power-Efficient Buffers and Amplifiers

In this paper, some topologies of novel power-efficient single-ended and fully differential amplifiers and buffers are presented. The reduction of the power dissipation has been ensured through the application of an adaptive biasing architecture which gives a current dependent on the input differential voltage. This allows the minimization of the stand-by power consumption without affecting the transient characteristics. The proposed topology, implemented in a standard CMOS technology, has been applied in the design of input and output stages of low-power amplifiers and voltage buffers, considering them also in the fully differential version. Simulation and measurement results showing good general performance will be also presented.     

Local model predictive controller in a solar desalination plant collector field

This paper proposes a new predictive control strategy for a distributed collector field of a solar desalination plant. The main purpose of the controller is to manipulate the water flow rate to maintain constant the outlet-inlet temperature gradient in the collectors in spite of disturbances. The controller is based on a filtered Smith predictor generalized predictive control algorithm and a simple procedure to update the linear model used in the predictor as well as the tuning parameters, in such a way that non-linear optimization is avoided. The controller copes with the process non-linearities, constraints, dead time and plant-model mismatch obtaining the desirable performance both, in the reference tracking and in the rejection of strong irradiance disturbances. Simulations and real experimental tests in AQUASOL desalination plant solar field are presented to show the advantages of the proposed controller.     

On the application of the minimum polynomial extrapolation method to incompressible flows with heat transfer

In this paper, the Minimum Polynomial Extrapolation method (MPE) is used to accelerate the convergence of the Characteristic–Based–Split (CBS) scheme for the numerical solution of steady state incompressible flows with heat transfer. The CBS scheme is a fractional step method for the solution of the Navier–Stokes equations while the MPE method is a vector extrapolation method which transforms the original sequence into another sequence converging to the same limit faster then the original one without the explicit knowledge of the sequence generator. The developed algorithm is tested on a two-dimensional benchmark problem (buoyancy–driven convection problem) where the Navier–Stokes equations are coupled with the temperature equation. The obtained results show the feature of the extrapolation procedure to the CBS scheme and the reduction of the computational time of the simulation.