A NEW APPROACH FOR NONLINEAR TRANSFORMATION OF MEANS AND COVARIANCES IN DIRECT STATISTICAL ANALYSIS OF NONLINEAR SYSTEMS

A New Approach for Nonlinear Transformation of Means and Covariances in Direct Statistical Analysis of Nonlinear Systems

Covariance analysis describing function technique is a conventional method to solve the performance analysis of the nonlinear missile guidance system.Aiming at the faultiness of covariance analysis describing function technique and its improved method, this paper proposes a new method to solve the mean and covariance transfer issue by using the hig

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Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations

We employed a global high-resolution inverse model to optimize the CH4 emission using Greenhouse gas Observing Satellite (GOSAT) and surface observation Infra-red data for a period from 2011−2017 for the two main source categories of anthropogenic and natural emissions.We used the Emission Database for Global Atmospheric Research (EDGAR v4.3.

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Coupling Bulk Phase Separation of Disordered Proteins to Membrane Domain Formation in Molecular Simulations on a Bespoke Compute Fabric

Phospholipid membranes surround the cell and its internal organelles, and their multicomponent nature allows the formation of domains that are important in cellular signalling, the immune system, and bacterial infection.Cytoplasmic compartments are also created by the phase separation of intrinsically disordered proteins into biomolecular condensat

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