Results 31 to 40 of about 1,506,333 (286)
The soundness of returning to manufacturing through the lens of productivity accounting
This article assesses whether the world economy is actually returning to manufacturing, and in particular, whether this is, or would be, economically sound in light of KLEMS productivity accounting. In this paper, the term 'economic soundness' is applied
Dariusz Cezary Kotlewski
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Inequality Decompositions - A Reconciliation [PDF]
We show how classic source-decomposition and subgroup-decomposition meth ods can be reconciled with regression methodology used in the recent liter ature. We also highlight some pitfalls that arise from uncritical use of the regression approach. The LIS database is used to compare the approaches using an analysis of the changing contributions to ...
COWELL, FRANK, FIORIO, CARLO
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Predicting the Postmortem Interval Based on Gravesoil Microbiome Data and a Random Forest Model
The estimation of a postmortem interval (PMI) is particularly important for forensic investigations. The aim of this study was to assess the succession of bacterial communities associated with the decomposition of mouse cadavers and determine the most ...
Chunhong Cui +10 more
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Modeling is one of the most important parts of requirements engineering. Most modeling techniques focus primarily on their pragmatics and pay less attention to their syntax and semantics.
Theo van der Weide +2 more
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AGI’s Hierarchical Component Approach to Unsolvable by Direct Statistical Methods Complex Problems
The amazing deep neural network (DNN) advances over the past 10 years have made it possible, if there is enough data and computing power, to achieve solutions to unexpectedly complex problems.
Vladimir Smolin, Sergey Sokolov
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Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model
In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model ...
In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model based on POD-Galerkin method in core physical uncertainty analysis. The two-dimensional two group TWIGL benchmark question was taken as the research object, the key variation characteristics of the core flux distribution were extracted under the finite perturbation of the group constants of each material region, and the full-order neutron diffusion problem was projected on the variation characteristics to establish a reduced-order neutron diffusion model. The reduced-order model was used to replace the full-order model to carry out the uncertainty analysis of the group constants of the material region. The results show that the bias of the mathematical expectation of keff calculated by reduced-order and full-order models is close to 1 pcm. In addition, compared with the calculation time required for uncertainty analysis of full-order model, the analysis time of reduced-order model (including the calculation time of the full-order model required for the construction of reduced-order model) is only 11.48%, which greatly improves the efficiency of uncertainty analysis. The biases of mathematical expectation of keff calculated by reduced-order and full-order models based on Latin hypercube sampling and simple random sampling are less than 8 pcm, and under the same sample size, the bias from the Latin hypercube sampling result is smaller. From the TWIGL benchmark test results, under the same sample size, Latin hypercube sampling method is more recommended for POD-Galerkin reduced-order model.
doaj
Alcohol consumption patterns of the Hungarian general and Roma populations
IntroductionHarmful alcohol use is a significant public health problem worldwide, though the alcohol-related burden affects disproportionately certain populations and ethnic minorities, with the WHO European Region being the most heavily affected and ...
Ali Abbas Mohammad Kurshed +9 more
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Robust decomposition of cell type mixtures in spatial transcriptomics
A limitation of spatial transcriptomics technologies is that individual measurements may contain contributions from multiple cells, hindering the discovery of cell-type-specific spatial patterns of localization and expression.
Dylan M. Cable +6 more
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Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis [PDF]
We consider the frequency domain form of proper orthogonal decomposition (POD), called spectral proper orthogonal decomposition (SPOD). Spectral POD is derived from a space–time POD problem for statistically stationary flows and leads to modes that each ...
A. Towne, O. Schmidt, T. Colonius
semanticscholar +1 more source
Decomposition into Cycles I: Hamilton Decompositions [PDF]
In this part we survey the results concerning the partitions of the edge-set of a graph into Hamilton cycles or into Hamilton cycles and a single perfect matching.
Alspach, Brian +2 more
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