Baseline correction for NMR spectroscopic metabolomics data analysis.

BackgroundWe propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of baseline distortion and constructs an optimal baseline curve to maximize it. The parameters are determined automatically by using LOWESS (locally weighted scatterplot smoothing) regression to estimate the noise variance.ResultsWe tested this method on 1D NMR spectra with different forms of baseline distortions, and demonstrated that it is effective for both regular 1D NMR spectra and metabolomics spectra with over-crowded peaks.ConclusionCompared with the automatic baseline correction function in XWINNMR 3.5, the penalized smoothing method provides more accurate baseline correction for high-signal density metabolomics spectra

EC55-404 Covering a Buckle

Extension Circular 55-404: This is about covering a buckle

EC465 Decorative Finishes for Home Sewing

Extension circular 465 discusses decorative finishes for home sewing. Its contents include: Recognition and Appreciation of Good Design in Needlework, Characteristics of Good Design, Machine Stitching, Tucks, Fastenings and other finishes

EC470 Fall and Winter Clothes

Extension circular 470 discusses fall and winter clothes. It contains the following chapters: Simplified clothing has its advantages, refitting, new lifts for old dresses, remade garments, illustrations of yokes, combinations of material, suggestions for combining materials, illustrations of jumpers, accessories from what you have, reconditioning yarn, conservation the watchword, and patterns for felt cutout

SB106-21/22-Resolution Transitioning the Recycling Fee from the Student Activity Fee to a Facilities Fee

SB106-21/22-Resolution Transitioning the Recycling Fee from the Student Activity Fee to a Facilities Fee. This resolution passed unanimously during the April 20, 2022 meeting of the Associated Students of the University of Montana (ASUM)

An Investigation into Nosocomial Infection using Data Mining

The purpose of this study was to investigate potential risk factors and analyze trends that are associated with nosocomial infection using an inferential statistical methodology that would allow for the identification and future tracking of the aforementioned trends. The raw data on which statistical analyses were performed was collected and aggregated by the National Healthcare Safety Network for the year 2011 (5) The results of the statistical analyses revealed that many factors should be taken into account when considering the causes of nosocomial infection, in paticular, that the amount of aggregated hours a certain type of ward (burn, medical, surgical, etc.) logs using invasive devices (central intravenous lines, respirators, urinary catheters) is not sufficient to explain the relative frequencies of nosocomial infections. For example, burn wards and some types of pediatric wards were particularly outstanding in their increased incidences of infection, even after the number of hours was accounted for. A second result of the statistical analyses was the creation of intervals using a modified Poisson distribution for which a year-to-year change in the frequency of infection would be considered random. If the results of a subsequent year fell outside of that interval, the conclusion would be that a fundamental shift had occurred

Henceforward in Thy Shadow

As Mavis came out of the grey stone passage from the subway she was thinking, Darn this night air! It makes everything to clear for comfort. ..