Results 41 to 50 of about 119,630 (158)
The GRAPES (Global/Regional Assimilation and Prediction System) global medium-range forecast system (GRAPES_GFS) is a new generation numerical weather forecast model developed by the China Meteorological Administration (CMA).
Miaoling Liang, Xing Yuan, Wenyan Wang
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Computer Simulation of Exchange Bias Field at the Ferromagnetic-Antiferromagnetic Boundary
Abstract This paper presents computer simulation results for a bilayer system with ferromagnetic and antiferromagnetic films. The dependence of the exchange bias field on the external magnetic field for this system is calculated. The Heisenberg model and the Wolf cluster algorithm are used for calculations.
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Mechanical Boundary Conditions Bias Fibroblast Invasion in a Collagen-Fibrin Wound Model [PDF]
Because fibroblasts deposit the collagen matrix that determines the mechanical integrity of scar tissue, altering fibroblast invasion could alter wound healing outcomes. Anisotropic mechanical boundary conditions (restraint, stretch, or tension) could affect the rate of fibroblast invasion, but their importance relative to the prototypical drivers of ...
Rouillard, Andrew D. +1 more
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The Ensemble Kalman Filter (EnKF) has been widely applied for real-time simulation of groundwater flow and solute transport. The majority of previous studies tend to assume no bias in forecast models, therefore ignoring the model uncertainties.
Yun YANG +3 more
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Bayesian average or truncation at boundaries? The mechanisms underlying categorical bias in spatial memory [PDF]
Spatial memory is often biased by various factors, such as the region a target belongs to, which can be defined based on physical, perceptual, or implicit boundaries. In the typical dot-localization task first introduced by Huttenlocher, Hedges, and Duncan (Psychological Review 98: 352-376, 1991), individuals normally divide the task space into four ...
Cristina, Sampaio, Ranxiao Frances, Wang
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Estimating the refractivity bias of FORMOSAT-7/COSMIC-2 Global Navigation Satellite System (GNSS) radio occultation in the deep troposphere [PDF]
FORMOSAT-7/COSMIC-2 radio occultation (RO) measurements show promise for observing the deep troposphere and for providing critical information on the Earth's planetary boundary layer (PBL).
G. H. Pham +5 more
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Re-interpreting conventional interval estimates taking into account bias and extra-variation
Background The study design with the smallest bias for causal inference is a perfect randomized clinical trial. Since this design is often not feasible in epidemiologic studies, an important challenge is to model bias properly and take random and ...
Seaman Shaun R, Höfler Michael
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Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance
The study of model bias and variance with respect to decision boundaries is critically important in supervised classification. There is generally a tradeoff between the two, as fine-tuning of the decision boundary of a classification model to accommodate more boundary training samples (i.e., higher model complexity) may improve training accuracy (i.e.,
Matthew Almeida +3 more
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The origin of the slow solar wind is not well understood, unlike the fast solar wind that originates from coronal holes. In situ elemental abundances of the slow solar wind suggest that it originates from initially closed field lines that become open ...
Alexandros Koukras +2 more
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Room-temperature exchange bias (EB) is realized in single-phase ferrimagnetic Fe3O4 nanoparticle agglomerates without the presence of conventional ferromagnetic/antiferromagnetic heterointerfaces. Magnetic measurements reveal a pronounced and stable loop
Long Xian +8 more
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