Summary: BWA-MEM is a new alignment algorithm for aligning sequence reads or assembly contigs against a large reference genome such as human. It automatically chooses between local and end-to-end alignments, supports paired-end reads and performs chimeric alignment. The algorithm is robust to sequencing errors and applicable to a wide range of sequence lengths from 70bp to a few megabases. For ...

We previously reported optical true-time delay devices, based on the White cell, to support phased-array radars. In particular, we demonstrated a quadratic device, in which the number of delays obtainable was proportional to the square of the number of times the light beam bounced in the cell. Here we consider the possibilities when a microelectromechanical (MEM) tip/tilt mirror array with mult...

Mobile emotion measurement (MEM) through physiological signals is a promising tool for both experiments and application. We provide 1) an overview of unobtrusive physiological sensors and 2) a review of studies that have tried to infer emotions from physiological signals. This review shows that there is a lack of general standards, low accuracy, and a doubtful validity of the results. To overco...

We study the sign problem in lattice field theory with a θ term. We apply the maximum entropy method (MEM) to flattening phenomenon of the free energy density f(θ), which originates from the sign problem. In our previous paper, we applied the MEM by employing the Gaussian topological charge distribution P (Q) as mock data. In the present paper, we consider models in which ‘true’ flattening of f...

A patient with septic shock due to extensively drug resistant (XDR) Pseudomonas aeruginosa was cured by optimizing the meropenem (MEM) regimen to obtain at least 40% of the time between two administrations in which drug levels were four times higher than the MIC of the pathogen. As the standard drug dose did not achieve these optimal concentrations, the MEM regimen was progressively increased u...

We propose a local adaptive multiplicative error model (MEM) accommodating timevarying parameters. MEM parameters are adaptively estimated based on a sequential testing procedure. A data-driven optimal length of local windows is selected, yielding adaptive forecasts at each point in time. Analyzing one-minute cumulative trading volumes of five large NASDAQ stocks in 2008, we show that local win...