Results 21 to 30 of about 689,864 (186)

Occupational epidemiologist's quest to tame measurement error in exposure

Global Epidemiology, 2020
I aimed to assess current practices and opportunities for addressing the problem of errors in exposure in occupational epidemiology. Occupational epidemiologists appreciate that errors in exposure are a concern, but almost none correct for these errors ...
Igor Burstyn
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Inferring the instability of a dynamical system from the skill of data assimilation exercises [PDF]

Nonlinear Processes in Geophysics, 2021
Data assimilation (DA) aims at optimally merging observational data and model outputs to create a coherent statistical and dynamical picture of the system under investigation.
Y. Chen, Y. Chen, A. Carrassi, A. Carrassi, A. Carrassi, V. Lucarini, V. Lucarini   +6 more
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UAV Motion Strategies in Uncertain Dynamic Environments: A Path Planning Method Based on Q-Learning Strategy

Applied Sciences, 2018
A solution framework for UAV motion strategies in uncertain dynamic environments is constructed in this paper. Considering that the motion states of UAV might be influenced by some dynamic uncertainties, such as control strategies, flight environments ...
Jun-hui Cui, Rui-xuan Wei, Zong-cheng Liu, Kai Zhou   +3 more
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Theoretical investigation on the mass loss impact on asteroseismic grid-based estimates of mass, radius, and age for RGB stars [PDF]

, 2017
We aim to perform a theoretical evaluation of the impact of the mass loss indetermination on asteroseismic grid based estimates of masses, radii, and ages of stars in the red giant branch phase (RGB).
Degl'Innocenti, S., Dell'Omodarme, M., Moroni, P. G. Prada, Valle, G.   +3 more
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Ecohydrologic Error Models for Improved Bayesian Inference in Remotely Sensed Catchments

Water Resources Research, 2019
Leaf area index (LAI) is an important vegetation indicator widely used for simulating vegetation dynamics and quantifying biomass production. Spatial and temporal variability of LAI are often characterized using satellite remote sensing products. However,
Yating Tang, Lucy Marshall, Ashish Sharma, Hoori Ajami, David J. Nott   +4 more
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Application of ensemble H-infinity filter in aquifer characterization and comparison to ensemble Kalman filter

Water Science and Engineering, 2017
Though the ensemble Kalman filter (EnKF) has been successfully applied in many areas, it requires explicit and accurate model and measurement error information, leading to difficulties in practice when only limited information on error mechanisms of ...
Tong-chao Nan, Ji-chun Wu
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A Flow‐Dependent Targeted Observation Method for Ensemble Kalman Filter Assimilation Systems

Earth and Space Science, 2020
In this study, we developed a flow‐dependent sequential assimilation‐based targeted observation method by minimizing the analysis error variance under the framework of the ensemble Kalman filter (EnKF).
Yanling Wu, Zheqi Shen, Youmin Tang
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Observational study on medication administration errors at a University Hospital in Brazil: incidence, nature and associated factors

Journal of Pharmaceutical Policy and Practice, 2022
Background Medication administration errors are frequent and cause significant harm globally. However, only a few data are available on their prevalence, nature, and severity in developing countries, particularly in Brazil.
Lindemberg Assunção-Costa, Ivellise Costa de Sousa, Renata Kelly Rodrigues Silva, Ana Carla do Vale, Charleston Ribeiro Pinto, Juliana Ferreira Fernandes Machado, Cleidenete Gomes Valli, Luis Eugenio Portela Fernandes de Souza   +7 more
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Full-field and anomaly initialization using a low-order climate model: a comparison and proposals for advanced formulations [PDF]

, 2014
Initialization techniques for seasonal-to-decadal climate predictions fall into two main categories; namely full-field initialization (FFI) and anomaly initialization (AI).
Asif, M., Carrassi, A., Doblas-Reyes, F. J., Gumeas, V., Volpi, D., Weber, R. J. T.   +5 more
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Measuring and controlling medical record abstraction (MRA) error rates in an observational study

BMC Medical Research Methodology, 2022
Background Studies have shown that data collection by medical record abstraction (MRA) is a significant source of error in clinical research studies relying on secondary use data. Yet, the quality of data collected using MRA is seldom assessed.
Maryam Y. Garza, Tremaine Williams, Sahiti Myneni, Susan H. Fenton, Songthip Ounpraseuth, Zhuopei Hu, Jeannette Lee, Jessica Snowden, Meredith N. Zozus, Anita C. Walden, Alan E. Simon, Barbara McClaskey, Sarah G. Sanders, Sandra S. Beauman, Sara R. Ford, Lacy Malloch, Amy Wilson, Lori A. Devlin, Leslie W. Young   +18 more
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