Results 31 to 40 of about 11,695,622 (343)
Optimization of sensor distribution using Gaussian processes
Experiments are undertaken both to test a hypothesis and, as is usually the case in metrology, to estimate the values of quantities. Experimental design is the process of planning the experiment in order to ensure that measurements gathered are of the ...
Alistair Forbes+3 more
doaj +1 more source
Objectives Managing multiple medicines can be challenging for patients with multimorbidity, who are at high risk of adverse outcomes, for example, hospitalisation.
Caitriona Cahir+5 more
doaj +1 more source
Linking maternity data for England 2007: methods and data quality [PDF]
Maternity Hospital Episode Statistics (HES) data for 2007 were linked to birth registration and NHS Numbers for Babies (NN4B) data to bring together some key demographic and clinical data items not otherwise available at a national level.
Datta-Nemdharry, P.+2 more
core +1 more source
Calibration and data quality of warm IRAC [PDF]
We present an overview of the calibration and properties of data from the IRAC instrument aboard the Spitzer Space Telescope taken after the depletion of cryogen.
Ashby, M. L. N.+19 more
core +1 more source
Mining data quality rules based on T-dependence [PDF]
Since their introduction in 1976, edit rules have been a standard tool in statistical analysis. Basically, edit rules are a compact representation of non-permitted combinations of values in a dataset.
Boeckling, Toon+2 more
core +1 more source
Optimal frequency control for wind power-integrated power system based on parameter identification
Frequency control based on wind power is required by the grid code for maintaining system inertia level as well as frequency stability. However, synchronous generator (SG)-emulated frequency control of wind power will result in a nadir and second dip of ...
Di Zheng+3 more
doaj +1 more source
Committing to Data Quality Review [PDF]
Amid the pressure and enthusiasm for researchers to share data, a rapidly growing number of tools and services have emerged. What do we know about the quality of these data? Why does quality matter? And who should be responsible for data quality? We believe an essential measure of data quality is the ability to engage in informed reuse, which requires
Limor Peer+2 more
openaire +8 more sources
The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
Quality Data is Key to Improving Education [PDF]
The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, t
Data Quality Campaign
core
Network topology drives population temporal variability in experimental habitat networks
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu+3 more
wiley +1 more source