Results 111 to 120 of about 100,121 (273)
Towards Q-analysis Integration in Discrete Global Grid Systems: Methodology, Implications and Data Complexity [PDF]
Spatial data is characterized by rich contextual information with multiple characteristics at each location. The interpretation of this multifaceted data is an integral part of current technological developments, data rich environments and data driven ...
Bondaruk, Veniamin
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Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Indexing a Discrete Global Grid
In an increasingly interconnected world, the development of computer friendly systems for the display and analysis of global data is an important issue.
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Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao +7 more
wiley +1 more source
Using Discrete Global Grid Systems in the Pangeo ecosystem
Over the past few years, Discrete Global Grid Systems (DGGS) that subdivide the earth into (roughly) equally sized faces have seen a rise in popularity. However, their in-memory representation is different from traditional projection-based data, which is either comprised of evenly shaped rectangular grid (aka raster) or discrete geometries (aka vector),
Magin, Justus +5 more
openaire +2 more sources
Discrete Global Grids: A Web Book [PDF]
Discrete Global Grids: A Web Book (2002) was edited by Michael F. Goodchild and A. Jon Kimerling and produced with the support of the National Center for Geographic Information and Analysis (NCGIA).
Goodchild, Michael F. +1 more
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ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Rhombic triacontahedron-based hexagonal discrete global grid systems (RTHDGGS) exhibit desirable geometric properties; however, their practical application is constrained by expensive cross-face computations and incongruent hierarchical subdivisions.
QiShuang Liang +5 more
doaj +1 more source
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan +24 more
wiley +1 more source
Market and Economic Modelling of the Intelligent Grid: End of Year Report 2009 [PDF]
The overall goal of Project 2 has been to provide a comprehensive understanding of the impacts of distributed energy (DG) on the Australian Electricity System.
Junhua Zhao +5 more
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