Data dependent energy modelling for worst case energy consumption analysis

Safely meeting Worst Case Energy Consumption (WCEC) criteria requires accurate energy modeling of software. We investigate the impact of instruction operand values upon energy consumption in cacheless embedded processors. Existing instruction-level energy models typically use measurements from random input data, providing estimates unsuitable for safe WCEC analysis. We examine probabilistic energy distributions of instructions and propose a model for composing instruction sequences using distributions, enabling WCEC analysis on program basic blocks. The worst case is predicted with statistical analysis. Further, we verify that the energy of embedded benchmarks can be characterised as a distribution, and compare our proposed technique with other methods of estimating energy consumption

Transabdominal coelocentesis as early source of fetal DNA for chromosomal and molecular diagnosis

This study reports a comparative analysis between results of transabdominal coelocentesis and traditional invasive procedure in order to assess the usefulness of coelocentesis as a source of fetal DNA for molecular and chromosomal analysis. A number of 28 women were included in the study. A successful sampling of coelomic fluid was obtained in 25 women by transabdominal procedure. A positive amplification of DNA with QF-PCR techniques was obtained in 90% of cases, while 10% of cases failed to reveal interpretable results. Although all samples were cultured, the growth rate was not sufficient to determine karyotypes within 2 weeks. Five samples were selected to be analyzed by array-based comparative genomic hybridization (a-CGH) but the interpretation of these results was difficult and ambiguous. Our results suggest that transabdominal coelocentesis is suitable for the detection of single DNA variation and for QF-PCR analysis, while further experiments are needed to develop optimized protocols for traditional karyotyping and array-analysis