rapid prediction
Comparison and rapid prediction of lignocellulose and organic elements of a wide variety of rice straw based on near infrared spectroscopy
... energy. Rapid prediction of the lignocellulose (cellulose, hemicellulose, and lignin) and organic elements (carbon, hydrogen, nitrogen, and sulfur) of rice straw would help to decipher its growth mechanisms ...
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LW-NIR hyperspectral imaging for rapid prediction of TVC in chicken flesh
... Abstract: Total viable count (TVC) is often used as an important indicator for chicken freshness evaluation. In this study, 112 fresh chicken flesh samples were acquired after slaughtered and their hyperspectral images ...
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Rapid prediction of single green coffee bean moisture and lipid content by hyperspectral imaging
... moisture prediction model, with their best PLS regression model having R 2 of ...a prediction error above ...2. Prediction of coffee constituents in single green coffee beans using PLSR models based ...
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Rapid Prediction of Post-Stall Aerodynamic Characteristics of Aircraft with Swept Wings.
... A method developed at NCSU’s Applied Aerodynamics Group uses the concept of “decambering”, wherein the camber of the sections of the wing is reduced at high angles of attack to model the[r] ...
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A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines
... The average torque behavior is correctly predicted by the nonlinear analytical model, while the linear model overesti- mates it. However, even if there are some differences in the amplitude prediction, the angle ...
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Rapid prediction of wood crystallinity in Pinus elliotii plantation wood by near-infrared spectroscopy
... X-ray diffraction with those determined from near-infrared spectra with multivariate analysis. These correlations, using the raw NIR spectra, were strong in both calibration and prediction. Spectral preprocessing ...
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High accuracy rapid prediction and feasibility of on-site nondestructive estimation of Para rubber quality by spectroscopic methods
... NIR spectroscopy, which is rapid, inexpensive, non- destructive and precise technology, is one of the best methods for the prediction of TSC and DRC. NIR spec- troscopy has been investigated in evaluation ...
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Rapid prediction of NMR spectral properties with quantified uncertainty
... spectra for structure elucidation. Our method is inte- grated with the NMRShiftDB database, and all code and data are available under a BSD license. Additional prop- erties, such as indirect dipolar coupling (J-coupling) ...
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Poster Session 7: Prostate Cancer (2)
... CUAJ ? May June 2016 ? Volume 10(5 6Suppl1) ? 2016 Canadian Urological Association 2016 CUA AbstrACts S70 MP 07 01 Rapid prediction of personalized response to chemotherapy using sub millimeter ex viv[.] ...
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Rapid detection of chlorophyll content and distribution in citrus orchards based on low-altitude remote sensing and bio-sensors
... the rapid prediction of individual nutritional levels and fruit-bearing potentials; a chlorophyll content distribution map can show the distribution differences in orchard nutrition and provide the basis ...
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Immunoinformatics Approach Identified Two Highly Conserved B and T Cell Epitopes, LEASKRWAF and DSPLEASKRWAFRTG, for Effective Vaccine Design against Ebola and Marburg Viruses
... T cell epitope is expressed on antigen presenting cell bound with Major Histocompatibility Complex (MHC) to initiate T cell immune response. IEDB analysis resource provides several tools to predict T cell epitope ...
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P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure
... However, apart from slow speed, template based meth- ods have a fundamental theoretical limitation. Since they are all based on search in a template library, by defini- tion, they are unable to predict truly novel sites ...
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Prediction of the Occurrence of Crashes along the Dar es Salaam Bus Rapid Transit (BRT) Corridor, Tanzania
... Considerable research has been carried out in recent years to establish relationships between crashes and traffic flow, geometric infrastructure characteristics, land use and environmental factors ([1]). The statistical ...
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Increasing Employability and Livelihood of Entirely Paralyzed People using ACAT(Assistive Context Aware Toolkit)
... Assistive Context-Aware Toolkit (ACAT) is an Intel Labs proprietary open source softwarewhich has enabled people like Stephen Hawking with motor neuron diseases and other disabilities to have full access to the ...
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Rapid virulence prediction and identification of Newcastle disease virus genotypes using third generation sequencing
... or prediction of ...for prediction of ...virulence prediction rely on Sanger sequencing; thus, they lack multiplexing capability and have limited sequencing depth, which com- plicates detection of ...
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Expediting systematic reviews: methods and implications of rapid reviews
... searched using the terms: 'realis$ review' OR 'realis$ syn- thesis' OR 'reali$ evaluation' OR 'meta-method' OR 'meta method' OR 'realis$ approach' OR 'meta-evaluation' ((rapid literature review) or (rapid ...
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Comparison of Three Commercial Rapid Identification Systems for the Unusual Gram Positive Cocci Dolosigranulum pigrum, Ignavigranum ruoffiae, andFacklamia Species
... The ID32 system correctly identified 7 (39%) of the 18 Facklamia species as “unacceptable ID.” Those that were cor- rectly identified were 3 of 4 strains of F. hominis, 3 of 5 strains of F. ignava, none of 6 strains of ...
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GUIDING FEATURE BASED SAR IMAGE ALIGNMENT USING BAG OF WORDS MODEL
... entering faults and process can prevent defects. The study of this knowledge will improve quality and analyze the root cause of defects can prevent the occurrence of defects. Analysis of the main reasons may take two ...
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An Integrated In-Silico Approach to Develop Epitope-Based Peptide Vaccine against SARS-CoV-2
... hydrophilicity, prediction of linear epitope and accessibility of surface ...epitope prediction analysis [21], Kolaskar and Tongaonkar antigenicity scale, Emini surface accessibility prediction, Chou ...
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ROSEFW RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem
... In order to generate the training set for the CM prediction method we need proteins with known structure. These are taken from the Protein Data Bank (PDB) public repository that currently holds the structures of ...
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