Baselines are often chosen by visual inspection of their effect on selected spectra. A more objective procedure for choosing baseline correction algorithms and parameter values use in statistical analysis is presented. When the goal spectra with a pleasing appearance, can be satisfactory approach. If to used analysis, objectivity reproducibility essential good prediction. Variations baselines from dataset means we have no guarantee that best-performing algorithm one will best when applied...

A pan-genome is defined as the set of all unique gene families found in one or more strains a prokaryotic species. Due to extensive within-species diversity microbial world, often many times larger than single genome. Studies pan-genomes have become popular due easy access whole-genome sequence data for prokaryotes. study reveals species and that may be special interest, e.g because their role bacterial survival ability discriminate strains. We present an R package pan-genomes. The computing...

Abstract Through the remarkable progress in technology, it is getting easier and to generate vast amounts of variables from a given sample. The selection imperative for data reduction understanding modeled relationship. Partial least squares (PLS) regression among modeling approaches that address high throughput data. A considerable list variable methods has been introduced PLS. Most these have reviewed recently conducted study. Motivated by this, we therefore comparison available within...

Model-based pre-processing has become wide spread in spectroscopy and is the standard procedure Fourier-transform infrared spectroscopy. It also been shown to give valuable contributions Raman Extended multiplicative signal correction flexible enough handle varying fluorescence background take into account individual variations baselines while still keeping rigidity through reference spectra model fitting avoid degenerate solutions overfitting, when used correctly. We demonstrate basic...

Abstract We propose a new data compression method for estimating optimal latent variables in multi‐variate classification and regression problems where more than one response variable is available. The are found according to common innovative principle combining PLS methodology canonical correlation analysis (CCA). suggested able extract predictive information the effectively ordinary approaches. Only simple modifications of existing PPLS algorithms required adopt proposed method. Copyright...

We have compared the efficacy of continuous ultraviolet (UV-C) (254 nm) and pulsed UV light in reducing viability Salmonella Enteritidis, Listeria monocytogenes, Staphylococcus aureus, enterohemorrhagic Escherichia coli, Pseudomonas spp., Brochothrix thermospacta, Carnobacterium divergens, extended-spectrum β-lactamase producing E. coli inoculated on chicken fillet surface. Fluences from 0.05 to 3.0 J/cm2 (10 mW/cm2, 5 300 s) used for UV-C resulted average reductions 1.1 2.8 log cfu/cm2. For...

Increasing popularity of sour beer urges the development novel solutions for controlled fermentations both fast acidification and consistency in product flavor quality. One possible approach is use Saccharomyces cerevisiae co-fermentation with Lactobacillus species, which produce lactic acid as a major end-product carbohydrate catabolism. The ability lactobacilli to ferment determined by their capacity sustain brewing-related stresses, including hop iso-α acids, low pH ethanol. Here, we...

Background Radiomics can provide in-depth characterization of cancers for treatment outcome prediction. Conventional radiomics rely on extraction image features within a pre-defined region interest (ROI) which are typically fed to classification algorithm prediction clinical endpoint. Deep learning allows simpler workflow where images be used directly as input convolutional neural network (CNN) with or without ROI. Purpose The purpose this study was evaluate (i) conventional and (ii) deep...

In the present paper, we prove a new theorem, resulting in an update formula for linear regression model residuals calculating exact k-fold cross-validation any choice of strategy without refitting. The required matrix inversions are limited by segment sizes and can be executed with high efficiency parallel. well-known leave-one-out follows as special case theorem. situations where segments consist small groups repeated measurements, suggest heuristic fast serial approximations...

In the presented study, Fourier-transform infrared (FTIR) spectroscopy is used to predict average molecular weight of protein hydrolysates produced from protein-rich by-products food industry using commercial enzymes. Enzymatic hydrolysis a well-established method for production formulations, recognized its potential valorize food-processing by-products. The monitoring such processes still significant challenge as existing classical analytical methods are not easily applicable industrial...

Technological innovations and advanced multidisciplinary research increase the demand for multisensor data fusion in Earth observations. Such has great potential, especially remote sensing field. One sensor is often insufficient analyzing urban environments to obtain comprehensive results. Inspired by capabilities of hyperspectral Light Detection Ranging (LiDAR) at feature level, we present a novel approach multitemporal analysis land cover case study Høvik, Norway. Our generic workflow...

Abstract Application of different multivariate measurement technologies to the same set samples is an interesting challenge in many fields applied data analysis. Our proposal a 2‐stage similarity index framework for comparing 2 matrices this type situation. The first step identify factors (and associated subspaces) by methods such as principal component analysis or partial least squares regression provide good (low‐dimensional) summaries their information content. Thereafter, statistical...

Ten percent of all strong-evidence foodborne outbreaks in the European Union are caused by Salmonella related to eggs and egg products. UV light may be used decontaminate surfaces reduce risk human salmonellosis infections. The efficiency continuous UV-C (254 nm) pulsed for reducing viability Enteritidis, Listeria monocytogenes, enterohemorrhagic Escherichia coli on was thoroughly compared. Bacterial cells were exposed at fluences from 0.05 3.0 J/cm2 (10 mW/cm2, 5 300 s) 1.25 18.0 J/cm2,...

Sour beer is with an intentionally sour taste. In traditionally produced beer, the acidic character results from spontaneous, mixed fermentation where different bacteria and yeast species participate. These complex fermentations take years to complete can be difficult control. Owing increasing interest in challenges related commercial brewing, alternative production methods are being explored. current paper, pre-fermentation lactic acid (LAB) was investigated as a timesaving controllable...

Abstract In the present study, Fourier‐transform infrared spectroscopy (FTIR) is investigated as a method to measure connective tissue components that are important for quality of Atlantic cod filets (Gadus morhua L.) . The used in this study originated from feeding trial, which found fish fed high starch diet contained relative more collagen type I, while low (LS) glycosaminoglycans (GAGs) tissue. FTIR spectra pure commercial I and GAGs were acquired identify spectral markers compare them...

Abstract Preprocessing is a mandatory step in most types of spectroscopy and spectrometry. The choice preprocessing method depends on the data being analysed, to get right, domain knowledge or trial error required. Given recent success deep learning‐based methods numerous applications their ability automatically detect patterns data, we aimed at exploring possibilities using such for preprocessing. Our study considered flexible but systematic investigation spectroscopic (classical...

The need for precise and stable taxonomic classification is highly relevant in modern microbiology. Parallel to the explosion amount of sequence data accessible, there has also been a shift focus methods. Previously, alignment-based methods were most applicable tools. Now, based on counting K-mers by sliding windows are interesting approach with respect both speed accuracy. Here, we present systematic comparison five different K-mer 16S rRNA gene. differ from each other usage modelling...