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Results for “deconvolution”
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RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation
Not provided.
Deconvolution of metal apportionment in bulk metal-organic frameworks
We report a general route to decipher the apportionment of metal ions in bulk metal-organic frameworks (MOFs) by solid-state nuclear magnetic resonance spectroscopy. We demonstrate this route in Mg 1-x Ni x -MOF-74, where we uncover all eight possible atomic-scale Mg/Ni arrangements through identification and quantification of the distinct chemical environments of 13 C-labeled carboxylates as a function of the Ni content. Here, we use magnetic susceptibility, bond pathway, and density functional theory calculations to identify local metal bonding configurations. The results refute the notion of random apportionment from solution synthesis; rather, we reveal that only two of eight Mg/Ni arrangements are preferred in the Ni-incorporated MOFs. These preferred structural arrangements manifest themselves in macroscopic adsorption phenomena as illustrated by CO/CO 2 breakthrough curves. We envision that this nondestructive methodology can be further applied to analyze bulk assembly of other mixed-metal MOFs, greatly extending the knowledge on structure-property relationships of MOFs and their derived materials.
Structural Modeling of the Treponema pallidum Outer Membrane Protein Repertoire: a Road Map for Deconvolution of Syphilis Pathogenesis and Development of a Syphilis Vaccine
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AlloSHP: deconvoluting single homeologous polymorphism for phylogenetic analysis of allopolyploids
Background The genomic and evolutionary study of allopolyploid organisms involves multiple copies of homeologous chromosomes, making their assembly, annotation, and phylogenetic analysis challenging. Bioinformatics tools and protocols have been developed to study polyploid genomes, but sometimes require the assembly of their genomes, or at least the genes, limiting their use. Results We have developed AlloSHP, a command-line tool for detecting and extracting single homeologous polymorphisms (SHPs) from the subgenomes of allopolyploid species. This tool integrates three main algorithms, WGA, VCF2ALIGNMENT and VCF2SYNTENY, and allows the detection of SHPs for the study of diploid-polyploid complexes with available diploid progenitor genomes, without assembling and annotating the genomes of the allopolyploids under study. AlloSHP has been validated on three diploid-polyploid plant complexes, Brachypodium, Brassica, and Triticum-Aegilops, and a set of synthetic hybrid yeasts and their progenitors of the genus Saccharomyces. The results and congruent phylogenies obtained from the four datasets demonstrate the potential of AlloSHP for the evolutionary analysis of allopolyploids with a wide range of ploidy and genome sizes. Conclusions AlloSHP combines the strategies of simultaneous mapping against multiple reference genomes and syntenic alignment of these genomes to call SHPs, using as input data a single VCF file and the reference genomes of the known or closest extant diploid progenitor species. This novel approach provides a valuable tool for the evolutionary study of allopolyploid species, both at the interspecific and intraspecific levels, allowing the simultaneous analysis of a large number of accessions and avoiding the complex process of assembling polyploid genomes.
Datasets for Pty-co-SAXSNN: CNN-Based Deconvolution for Simultaneous X-ray Ptychography and SAXS
The data comprise a simulated 3D nanoparticle clathrate dataset and an experimental 3D PtychoSAXS dataset of a supercrystal colloidal clathrate assembly, which were used to evaluate our custom Pty-co-SAXSNN framework.
Hahn-Echo Assisted Deconvolution (HEAD)
This repository contains the Bruker pulse program for acquire 2D HEAD data in addition to the C++ program used for data processing. Data must be acquired with identical digital resolution in both dimensions. The resulting 2D spectrum is converted to a ASCII file using the Topspin 'totxt' command. This file can be handled by the HEAD_processing program.
4-D Aggregate Deconvolution for Aerial Measurements RSLN-026-20, Year 1
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Deconvolution for Aerial Measurements
Avery Guild-Bingham will present these slides during the 9th Annual AMS Technical Exchange meeting (virtual) held on Oct 6-7, 2021. Attendees include Aerial Measuring System staff and partners from US laboratories, as well as Aerial Radiation detection scientists from partner countries such as the UK, Germany, Switzerland, etc. Overall support provided by NA-81, Office of Nuclear Incident Policy and Cooperation.
Deconvoluting Mechanism in Complex Environments via In-situ TEM.
Abstract not provided.
Computation of Sobol' indices using Embedded Variance Deconvolution.
Abstract not provided.
Numerical Investigation on the Performance of a Variance Deconvolution Estimator.
Abstract not provided.
Numerical Investigation on the Performance of a Variance Deconvolution Estimator.
Abstract not provided.
Deconvolution strategies for efficient parametric variance estimation in stochastic media transport problems.
Abstract not provided.
A sampling-based approach to solve Sobol' Indices using variance deconvolution for arbitrary uncertainty distributions.
Abstract not provided.
Deconvolution of SRIXE for Trace Element Analysis
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Inverse Filtering: An Improbable Solution to the Multichannel Deconvolution Problem
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4-D aggregate deconvolution for aerial measurements, RSLN-026-21, Year 2
Presentation to be presented during the Site-Directed Research and Development (SDRD) program FY 2021 review meeting (Webex), September 22–23, 2021.