Results 41 to 50 of about 53,475 (250)
Measuring spatio-temporal autocorrelation in time series data of collective human mobility
Massive spatio-temporal big data about human mobility have become increasingly available. Revealing underlying dynamic patterns from these data is essential for understanding people’s behavior and urban deployment.
Yong Gao +3 more
doaj +1 more source
A DeepMD‐based molecular dynamics framework is developed to investigate water adsorption in ZIF‐90, explicitly accounting for framework flexibility. Results show that atomistic flexibility significantly influences adsorption energetics, diffusion, and structural correlations, yielding nearly constant heat of adsorption and enhanced mobility.
Nick Mackus +3 more
wiley +1 more source
Information on crop acreage is important for formulating national food polices and economic planning. Spatial sampling, a combination of traditional sampling methods and remote sensing and geographic information system (GIS) technology, provides an ...
Di WANG +3 more
doaj +1 more source
Strongly adhered cells align with concentric circular ridges and exhibit predominantly tangential motion, whereas weakly adhered cells fail to follow topographical guidance and display enhanced radial inward motion. ABSTRACT Living cells establish long‐range orientational order through collective alignment, giving rise to topological defects whose ...
Prasoon Awasthi +4 more
wiley +1 more source
Dental Microwear Texture Analysis on Radular Teeth
3D microwear textures reveal how gastropod radular teeth respond to controlled abrasive contact. Distinct surface signatures distinguish regular abrasion from fracture‐dominated material removal, showing how mineralized coatings, fibrous cores, and substrate properties jointly shape wear and failure in a biological scraping interface.
Wencke Krings +2 more
wiley +1 more source
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
Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers
Fe/Ti/CoFeB trilayers generate orthogonal spin currents that drive stochastic spin–orbit‐torque switching for probabilistic‐bit operation. The switching probability is continuously controlled by the in‐plane magnetic field and drive current, enabling tunable random bit generation.
Donghyeon Han +17 more
wiley +1 more source
Spatial contagion structures urban vegetation from parcel to landscape
Residential yards are a significant component of urban socio‐ecological systems; residential land covers 11% of the United States and is often the dominant land use within urban areas.
Dexter Henry Locke +3 more
doaj +1 more source
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
A wavelet-based method to remove spatial autocorrelation in the analysis of species distributional data [PDF]
Species distributional data based on lattice data often display spatial autocorrelation. In such cases, the assumption of independently and identically distributed errors can be violated in standard regression models.
G. Carl, C. F. Dormann, I. Kühn
doaj +1 more source

