Results 61 to 70 of about 1,000,205 (352)
Predictive Model with Machine Learning for Environmental Variables and PM2.5 in Huachac, Junín, Perú
AtmospherePM2.5 pollution is increasing, causing health problems. The objective of this study was to model the behavior of PM2.5AQI (air quality index) using machine learning (ML) predictive models of linear regression, lasso, ridge, and elastic net. A total of 16,
Emery Olarte +6 more
doaj +1 more source
The Matrix Ridge Approximation: Algorithms and Applications [PDF]
, 2013 We are concerned with an approximation problem for a symmetric positive semidefinite matrix due to motivation from a class of nonlinear machine learning methods. We discuss an approximation approach that we call {matrix ridge approximation}.
Zhang, Zhihua
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Advanced Functional Materials, EarlyView.A 3D bone scaffold with osteogenic properties and capable of hardening in vivo is developed. The scaffold is implanted in a ductile state, and a phase transformation of the ceramic induces the stiffening and strengthening of the scaffold in vivo. Abstract Calcium phosphate 3D printing has revolutionized customized bone grafting.
Miguel Mateu‐Sanz +7 more
wiley +1 more source
The Glasma and the Hard Ridge [PDF]
, 2009 Correlation measurements indicate that excess two particle correlations extend over causally disconnected rapidity ranges. Although, this enhancement is broad in relative rapidity $\eta=\eta_1 - \eta_2$, it is focused in a narrow region in relative ...
Gavin, Sean, Moschelli, George
core
Pattern Transitions in a Soft Cylindrical Shell
, 2018 Instability patterns of rolling up a sleeve appear more intricate than the ones of walking over a rug on floor, both characterized as uniaxially compressed soft-film/stiff-substrate systems. This can be explained by curvature effects.
Dai, Hui-Hui +3 more
core +2 more sources
Crumpling of a stiff tethered membrane [PDF]
, 2003 first-principles numerical simulation model for crumpling of a stiff tethered membrane is introduced. In our model membranes, wrinkles, ridge formation, ridge collapse, as well as the initiation of stiffness divergence, are observed.
Astrom, J. A. +2 more
core +2 more sources
Large Anomalous and Topological Hall Effect and Nernst Effect in a Dirac Kagome Magnet Fe3Ge
Advanced Functional Materials, EarlyView.Fe3Ge, a Kagome‐lattice magnet, exhibits remarkable anomalous Hall and Nernst effects, with transverse thermoelectric conductivity surpassing or comaprable to some well‐known ferromagnets. First‐principles calculations attribute these to Berry curvature from massive Dirac gaps. Additionally, topological Hall and Nernst signals emerge from field‐induced
Chunqiang Xu +11 more
wiley +1 more source
New ridge parameters for ridge regression [PDF]
Journal of the Association of Arab Universities for Basic and Applied Sciences, 2014 AbstractHoerl and Kennard (1970a) introduced the ridge regression estimator as an alternative to the ordinary least squares (OLS) estimator in the presence of multicollinearity. In ridge regression, ridge parameter plays an important role in parameter estimation.
openaire +1 more source
Oceanic Core Complex die off and generation of enhanced mantle upwelling on the Mid-Atlantic Ridge - 22° N [PDF]
, 2011 EGU2011-13199 Images of crustal construction provide a key to understand the interplay of magmatism and tectonism while oceanic crust is build up. Bathymetric data show that the crustal construction is highly variable.
Dannowski, Anke +2 more
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Advanced Functional Materials, EarlyView.MAMAWEL is introduced as the first calibration‐free potentiometric sensor for at‐home mastitis diagnosis. By measuring the sodium‐to‐potassium ratio in breast milk, the device reliably differentiates between healthy and mastitis‐affected samples with less than 10% error.
Ali Soleimani +9 more
wiley +1 more source