Peptide mass fingerprinting using field-programmable gate arrays

The reconfigurable computing paradigm, which exploits the flexibility and versatility of field-programmable gate arrays (FPGAs), has emerged as a powerful solution for speeding up time-critical algorithms. This paper describes a reconfigurable computing solution for processing raw mass spectrometric data generated by MALDI-TOF instruments. The hardware-implemented algorithms for denoising, baseline correction, peak identification, and deisotoping, running on a Xilinx Virtex-2 FPGA at 180 MHz, generate a mass fingerprint that is over 100 times faster than an equivalent algorithm written in C, running on a Dual 3-GHz Xeon server. The results obtained using the FPGA implementation are virtually identical to those generated by a commercial software package MassLynx

Infrared optical properties of the spin-1/2 quantum magnet TiOClTiOCl

We report results on the electrodynamic response of $TiOCl$, a low-dimensional spin-1/2 quantum magnet that shows a spin gap formation for T$<T_{c1}$= 67 $K$. The Fano-like shape of a few selected infrared active phonons suggests an interaction between lattice vibrations and a continuum of low frequency (spin) excitations. The temperature dependence of the phonon mode parameters extends over a broad temperature range well above $T_{c1}$, indicating the presence of an extended fluctuation regime. In the temperature interval between 200 $K$ and $T_{c1}$ there is a progressive dimensionality crossover (from two to one), as well as a spectral weight shift from low towards high frequencies. This allows us to identify a characteristic energy scale of about 430 $K$, ascribed to a pseudo spin-gap

Evidence-Based Modelling of Organizational Social Capital with Incomplete Data: An NCaRBS Analysis

Organizational social capital is critical to effective organizational functioning. Yet, different aspects of social capital are likely to be present to varying degrees within any given organization. In this study, alternative blends of structural, relational and cognitive social capital are modelled using a range of key organizational variables drawn from an incomplete dataset. A novel evidence-based approach to the ambiguous classification of objects (N-state Classification and Ranking Belief Simplex or NCaRBS) is used for the analysis. NCaRBS is uniquely able to capture the full range of ambiguity in the antecedents and effects of social capital, and to do so by incorporating incomplete data without recourse to the external management of the missing values. The study therefore illustrates the multi-faceted potential of analytical techniques based on uncertain reasoning, using the Dempster-Shafer theory of evidence methodology