Results 31 to 40 of about 2,164,489 (288)

Characterizing the Delaunay decompositions of compact hyperbolic surfaces [PDF]

open access: yes, 2001
Given a Delaunay decomposition of a compact hyperbolic surface, one may record the topological data of the decomposition, together with the intersection angles between the `empty disks' circumscribing the regions of the decomposition.
Brägger   +7 more
core   +3 more sources

Predicting the Postmortem Interval Based on Gravesoil Microbiome Data and a Random Forest Model

open access: yesMicroorganisms, 2022
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
doaj   +1 more source

Static and Dynamic Aspects of Application Domains: An Inductively Defined Modeling Technique That Allows Decomposition

open access: yesComplex Systems Informatics and Modeling Quarterly, 2016
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
doaj   +1 more source

AGI’s Hierarchical Component Approach to Unsolvable by Direct Statistical Methods Complex Problems

open access: yesEngineering Proceedings, 2023
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
doaj   +1 more source

Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model

open access: yesYuanzineng kexue jishu, 2023
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  

A sparse decomposition of low rank symmetric positive semi-definite matrices [PDF]

open access: yes, 2016
Suppose that $A \in \mathbb{R}^{N \times N}$ is symmetric positive semidefinite with rank $K \le N$. Our goal is to decompose $A$ into $K$ rank-one matrices $\sum_{k=1}^K g_k g_k^T$ where the modes $\{g_{k}\}_{k=1}^K$ are required to be as sparse as ...
Hou, Thomas Y.   +2 more
core   +3 more sources

A Variation of Decomposition Under a Length Constraint [PDF]

open access: yes, 2011
Introducing and initiating a study of a new variation of decomposition namely equiparity induced path decomposition of a graph which is defined to be a decomposition in which all the members are induced paths having same ...
Hamid, Ismail Sahul, Joseph, Mayamma
core   +2 more sources

Alcohol consumption patterns of the Hungarian general and Roma populations

open access: yesFrontiers in Public Health, 2023
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
doaj   +1 more source

Decomposition into Cycles I: Hamilton Decompositions [PDF]

open access: yes, 1990
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
openaire   +2 more sources

Effects of initial leaching for estimates of mass loss and microbial decomposition—Call for an increased nuance

open access: yesEcology and Evolution, 2022
Decomposition is essential to carbon, nutrient, and energy cycling among and within ecosystems. Several methods have been proposed for studying litter decomposition by using a standardized and commercially available substrate. One of these methods is the
Lovisa Lind   +4 more
doaj   +1 more source

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