Results 21 to 30 of about 689,003 (332)

Data compression in the presence of observational error correlations

Tellus: Series A, Dynamic Meteorology and Oceanography, 2019
Numerical weather prediction (NWP) models are moving towards km-scale (and smaller) resolutions in order to forecast high-impact weather. As the resolution of NWP models increase the need for high-resolution observations to constrain these models also ...
A.M. Fowler
doaj   +1 more source

Medication error awareness among health care providers in Palestine: A questionnaire-based cross-sectional observational study

Saudi Pharmaceutical Journal, 2022
Background: Increased awareness among healthcare professionals regarding medication errors and the establishment of a medication error reporting system can significantly reduce the prevalence of medication errors.
Abdallah Damin Abukhalil, Nadine M. Amer, Lina Y. Musallam, Ni'meh Al-Shami   +3 more
doaj   +1 more source

Learning by observation: insights from Williams syndrome. [PDF]

PLoS ONE, 2013
Observing another person performing a complex action accelerates the observer's acquisition of the same action and limits the time-consuming process of learning by trial and error.
Francesca Foti, Deny Menghini, Laura Mandolesi, Francesca Federico, Stefano Vicari, Laura Petrosini   +5 more
doaj   +1 more source

Theoretical Examination of the Lithium Depletion Boundary

, 2003
We explore the sensitivity in open cluster ages obtained by the lithium depletion boundary (LDB) technique to the stellar model input physics. The LDB age technique is limited to open clusters with ages ranging from 20 to 200 Myr.
Alison Sills, Baraffe I., Burke C. J., Christopher J. Burke, D’Antona F., Ludwig H.-G., Magni G., Marc H. Pinsonneault, Mermilliod J.-C., Plez B., Pols O. R., Potekhin A. Y., Potekhin A. Y., Siess L., Ventura P., Vitense E.   +15 more
core   +2 more sources

Measuring the local dark matter density [PDF]

, 2009
We examine systematic problems in determining the local matter density from the vertical motion of stars, i.e. the 'Oort limit'. Using collisionless simulations and a Monte Carlo Markov Chain technique, we determine the data quality required to detect ...
Garbari, Silvia, Lake, George, Read, Justin I.   +2 more
core   +1 more source

Quantum error correction of observables [PDF]

Physical Review A, 2007
22 pages, 1 figure, preprint ...
Beny, Cedric, Kempf, Achim, Kribs, David W.   +2 more
openaire   +2 more sources

Reconstructing cosmological initial conditions from galaxy peculiar velocities. II. The effect of observational errors

, 2012
The Reverse Zeldovich Approximation (RZA) is a reconstruction method which allows to estimate the cosmic displacement field from galaxy peculiar velocity data and to constrain initial conditions for cosmological simulations of the Local Universe. In this
Courtois, Helene, Doumler, Timur, Gottloeber, Stefan, Hoffman, Yehuda   +3 more
core   +3 more sources

Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs

, 2013
In many applications we have both observational and (randomized) interventional data. We propose a Gaussian likelihood framework for joint modeling of such different data-types, based on global parameters consisting of a directed acyclic graph (DAG) and ...
Bühlmann, Peter, Hauser, Alain
core   +1 more source

Research on GPS geometry-based observational stochastic error model

Tongxin xuebao, 2019
Aiming at the problem of not enough influencing factors were considered in traditional methods,a much more realistic stochastic model was built.In which error corrections were introduced into the geometry-based function model,an improved least squares ...
Taoyun ZHOU, Baowang LIAN, Dongdong YANG, Yi ZHANG, Chenglin CAI   +4 more
doaj   +2 more sources

Data Assimilation algorithm for 3D B\'enard convection in porous media employing only temperature measurements

, 2015
In this paper we propose a continuous data assimilation (downscaling) algorithm for the B\'enard convection in porous media using only coarse mesh measurements of the temperature.
Farhat, Aseel, Lunasin, Evelyn, Titi, Edriss S.   +2 more
core   +1 more source