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smoothing spline algorithm  (MathWorks Inc)


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    MathWorks Inc smoothing spline algorithm
    Smoothing Spline Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/smoothing+spline+algorithm/10__1007_slash_s10064___024___03928___y-263-26-32
    Average 90 stars, based on 1 article reviews
    smoothing spline algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Reading the primary structure of a protein with 0.07 nm 3 resolution using a subnanometre-diameter pore.
    Article Snippet: The primary structure of a protein consists of a sequence of amino acids and is a key factor in determining how a protein folds and functions.. However, conventional methods for sequencing proteins, such as mass spectrometry and Edman degradation, suffer from short reads and lack sensitivity, so alternative approaches are sought.. Here, we show that a subnanometre-diameter pore, sputtered through a thin silicon nitride membrane, can be used to detect the primary structure of a denatured protein molecule.

    Article Title: Sulfate reduction rates in the sediments of the Mediterranean continental shelf inferred from combined dissolved inorganic carbon and total alkalinity profiles
    Article Snippet: Accepted Manuscript Sulfate reduction rates in the sediments of the Mediterranean continental shelf inferred from combined dissolved inorganic carbon and total alkalinity profiles Eyal Wurgaft, Alyssa J. Findlay, Hanni Vigderovich, Barak Herut, Orit Sivan PII: S0304-4203(18)30166-X DOI: https://doi.org/10.1016/j.marchem.2019.03.004 Reference: MARCHE 3640 To appear in: Marine Chemistry Received date: 29 June 2018 Revised date: 21 February 2019 Accepted date: 7 March 2019 Please cite this article as: E. Wurgaft, A.J.. Findlay, H. Vigderovich, et al., Sulfate reduction rates in the sediments of the Mediterranean continental shelf inferred from combined dissolved inorganic carbon and total alkalinity profiles, Marine Chemistry, https://doi.org/ 10.1016/j.marchem.2019.03.004 This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript.

    Article Title: Statistical analysis of long-term deformations and determination of warning thresholds for near-dam reservoir bank slopes
    Article Snippet: With the construction and operation of a large number of hydropower engineering projects in China, the deformation and failure behaviors of reservoir bank slopes pose increasing threats to the stability of hydraulic structures, as well as upstream and downstream residents and infrastructures.. This study aims to offer a novel perspective for exploring the long-term deformation behavior of near-dam reservoir bank slopes through statistical analysis, and to put forward a quantitative method to determine velocity thresholds for early warning procedures.. In this paper, the monitoring data of velocities recorded from four reservoir bank slopes are counted at first, and then generalized Pareto distribution and power law distribution are applied to fit the empirical cumulative distribution of statistical data.

    Article Title: Slab temperature controls on the Tonga double seismic zone and slab mantle dehydration
    Article Snippet: The slab surface was fit using the smoothing spline algorithm in MATLAB, such that the resulting surface lies above 85% of all hypocenters at depths of 50 to 400 km.

    Article Title: Using pattern recognition entropy to select mass chromatograms to prepare total ion current chromatograms from raw liquid chromatography-mass spectrometry data.
    Article Snippet: Accepted Manuscript Title: Using Pattern Recognition Entropy to Select Mass Chromatograms to Prepare Total Ion Current Chromatograms from Raw Liquid Chromatography-Mass Spectrometry Data Authors: Shiladitya Chatterjee, George H. Major, Brett Paull, Estrella Sanz Rodriguez, Massoud Kaykhaii, Matthew R. Linford PII: S0021-9673(18)30475-8 DOI: https://doi.org/10.1016/j.chroma.2018.04.042 Reference: CHROMA 359341 To appear in: Journal of Chromatography A Received date: 28-10-2017 Revised date: 6-4-2018 Accepted date: 17-4-2018 Please cite this article as: Shiladitya Chatterjee, George H.Major, Brett Paull, Estrella Sanz Rodriguez, Massoud Kaykhaii, Matthew R.Linford, Using Pattern Recognition Entropy to Select Mass Chromatograms to Prepare Total Ion Current Chromatograms from Raw Liquid Chromatography-Mass Spectrometry Data, Journal of Chromatography A https://doi.org/10.1016/j.chroma.2018.04.042 This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript.. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form.



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