BACKGROUND Severe acute malnutrition (SAM) is the most serious form of malnutrition affecting children under-five and is associated with many infectious diseases including Tuberculosis (TB). In India, nutritional rehabilitation centres (NRCs) have been recently established for the management of SAM including TB. The National TB Programme (NTP) in India has introduced a revised algorithm for dia...

Datatypes in PVS Sam Owre and Natarajan Shankar SRI International, Menlo Park, California National Aeronautics and Space Administration Langley Research Center Hampton, Virginia 23681-2199 Prepared for Langley Research Center under contract NAS 1-18969

We report the results of a computational study of repacking in the FCC Incentive Auctions. Our interest lies in the structure and constraints of the solution space of feasible repackings. Our analyses are “mechanism-free”, in the sense that they identify constraints that must hold regardless of the reverse auction mechanism chosen or the prices offered for broadcaster clearing. We examine topic...

In this article, a new algorithm called Sequence Alignment Method extended with an Interestingness Measure (SAM ) is illustrated for mining navigation patterns on a web site. Through log file analysis, SAM distinguishes interesting patterns (i.e. unexpected, surprising patterns contradicting with the structure of the web site or direct hyperlinks between web pages) from uninteresting patterns (...

This paper describes the design and evaluation of SAM, a shared object system for distributed memory machines. SAM is a portable run-time system that provides a global name space and automatic caching of shared data. SAM incorporates mechanisms to address the problem of high communication overheads on distributed memory machines; these mechanisms include tying synchronization to data access, ch...

OBJECTIVE Automated adaptive spatial filtering techniques can be applied to magnetoencephalographic (MEG) data collected from people with epilepsy. Source waveforms estimated by these methods have higher signal-to-noise ratio (SNR) than spontaneous MEG data, allowing identification and location of interictal spikes. The software tool SAM(g(2)) provides an adaptive spatial filtering algorithm fo...

The problem of Sam. dhi-Splitting is central to computational processing of Sanskrit texts. Currently the best-known algorithm for this task, given a chunk, generates all possible splits and chooses the Maximum-a-Posteriori estimate as the final answer. Our contributions to the task of Sam. dhi-Splitting are two-fold. Firstly, we improve upon the current algorithm by proposing a principled modi...

Frequent patterns are patterns such as item sets, subsequences or substructures that appear in a data set frequently. A Divide and Conquer method is used for finding frequent item set mining. Its core advantages are extremely simple data structure and processing scheme. Divide the original dataset in the projected database and find out the frequent pattern from the dataset. Split and Merge uses...