Results 61 to 70 of about 494,625 (320)
Autocorrelation Infrasound Interferometry
AbstractSeismic and infrasound multistation ambient‐noise interferometry has been widely used to infer ground and atmospheric properties, and single‐station and autocorrelation seismic interferometry has also shown potential for characterizing Earth structure at multiple scales.
Hugo D. Ortiz +5 more
openaire +4 more sources
Spatial Patterns of Poverty in Central-Java Province [PDF]
overty is one of the key issues in development program of Indonesia government. Poverty can be caused by geographical factors, namely the natural conditions, such as climate, density of forest, etc. Therefore, poverty problem
Sulandari, Winita +2 more
core
Pressure skin wounds are frequent complications after spinal cord injury (SCI), with impaired healing due to vascular and immune deficits. Elastin‐like polypeptides (ELP) fused to α‐MSH (MSH‐ELP) or MCP‐1 (MCP‐ELP) are developed and tested on these wounds. The resulting nanoparticles are non‐toxic and bioactive, and they enhance macrophage recruitment,
Suneel Kumar +7 more
wiley +1 more source
On detecting the large separation in the autocorrelation of stellar oscillation times series
The observations carried out by the space missions CoRoT and Kepler provide a large set of asteroseismic data. Their analysis requires an efficient procedure first to determine if the star is reliably showing solar-like oscillations, second to measure ...
Appourchaux +27 more
core +3 more sources
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
semanticscholar +1 more source
Light‐Induced Entropy for Secure Vision
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo +9 more
wiley +1 more source
Analysis of City Demographics Using Spatial Data Mining
The main purpose of data mining in private and public sector institutions is to process and analyse data with the aim of generating reliable information for decision-making.
Krystyna Kurowska +2 more
doaj
Process Capability Analysis in the Presence of Autocorrelation [PDF]
The classical method of process capability analysis necessarily assumes that collected data are independent; nonetheless, some processes such as biological and chemical processes are autocorrelated and violate the independency assumption.
Mohsen Mohamadi +2 more
doaj
Gapless Superconductivity From Extremely Dilute Magnetic Disorder in 2H‐NbSe2‐xSx
We demonstrate that 2H‐NbSe2‐xSx hosts gapless superconductivity at unexpectedly low magnetic impurity concentrations. Combining STM, Bogoliubovde Gennes simulations, DFT, and quasiparticle interference, we comprehensively study the development of gapless behavior and show that SeS substitution reshapes the band structure, enhances nesting, and drives ...
Jose Antonio Moreno +16 more
wiley +1 more source
As anisotropy is a fundamental property of the real-world environmental spatial variables, the conventional omnidirectional variograms and correlograms do not provide means enough to characterise spatial dependence between observations.
Svidzinska Daria
doaj +1 more source

