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Data Base and Methodology
This chapter describes the database and methodology used for the analysis of data. The data are collected both from field survey and secondary...
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Methodology for biomarker discovery with reproducibility in microbiome data using machine learning
BackgroundIn recent years, human microbiome studies have received increasing attention as this field is considered a potential source for clinical...
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Bacterial leaf streak: Inoculation methodology determination
Information on inoculation methodologies and the phenological stage at which corn is susceptible to infection by Xanthomonas vasicola pv. vasculorum ,...
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Statistical Reinforcement Learning and Dynamic Treatment Regimes
This chapter introduces to readers the concept and methodology of reinforcement learning and modern-day dynamic treatment regimes in statistics. This...
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Statistical optimization of thermostable alkaline protease from Bacillus cereus KM 05 using response surface methodology
ObjectivesProteases have gained great attention due to their enormous applications in food, tannery, detergent, photography and many other...
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Statistical optimization of chromium (VI) reduction using response surface methodology (RSM) by newly isolated Stenotrophomonas sp. (a novel strain)
Isolation of Microorganisms capable of reducing toxic chromium (VI) into less toxic one (Cr (III)) has been given attention due to their significance...
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Optimization of lipase production by response surface methodology from Serratia marcescens VT 1 isolated from oil contaminated soil
The current manuscript focuses on the isolation of a potent lipase-producing mesophilic bacteria and explores the optimization of culture parameters...
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Two simple methods to improve the accuracy of the genomic selection methodology
BackgroundGenomic selection (GS) is revolutionizing plant and animal breeding. However, still its practical implementation is challenging since it is...
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Advancing Blackmore’s methodology to delineate management zones from Sentinel 2 images
Improving agricultural nitrogen management is one of the key objectives of the recent Green Deal in Europe. Current technological developments in...
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Statistical optimization of bioprocess parameters for enhanced production of bacterial cellulose from K. saccharivorans BC-G1
Bacterial Cellulose (BC) offers a wide range of applications across various industries, including food, biomedical, and textiles, owing to its...
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Optimizing the synthesis of yeast Beta-glucan via response surface methodology for nanotechnology application
BackgroundThe production of biopolymers from waste resources is a growing trend, especially in high-population countries like Egypt. Beta-glucan...
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The better toolbox: experimental methodology in economics and psychology
In experimental economics one can confront a “don’t!”, as in “do not deceive your participants!”, as well as a “do!”, as in “incentivize choice...
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Methodology of Energy Assessment for Ecosystems of the First Floodplain Terrace of the Ushayka River (Tomsk Oblast)
AbstractAn analysis of modern scientific ideas has shown that there is no consensus on the definition of the energy of organic matter in ecosystems,...
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Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application
Wide assimilation of precision agriculture among farmers is currently dependent on the ability to demonstrate its efficiency at the field-scale. Yet,...
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A new methodology to characterize the kinetics of a seed during the imbibition process
AimsAssuming the saturated, θ s , and residual θ r volumetric water contents of a seed as known inputs, we present a methodology to determine the...
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A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies
BackgroundMicroarrays can perform large scale studies of differential expressed gene (DEGs) and even single nucleotide polymorphisms (SNPs), thereby...
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Seeking the neural representation of statistical properties in print during implicit processing of visual words
Statistical learning (SL) plays a key role in literacy acquisition. Studies have increasingly revealed the influence of distributional statistical...
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Optimizing recombinant production of L-asparaginase 1 from Saccharomyces cerevisiae using response surface methodology
L-asparaginase is an essential enzyme used in cancer treatment, but its production faces challenges like low yield, high cost, and immunogenicity....
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Optimization of chitosan production from Labeo rohita fish scale using response surface methodology
Chitosan preparation is a sequential method that involves demineralization and deproteinization followed by deacetylation. In the present study, the...
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A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology
BackgroundRecent studies have indicated that a special class of long non-coding RNAs (lncRNAs), namely Transcribed-Ultraconservative Regions are...
