Results 71 to 80 of about 2,663,721 (268)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd +3 more
wiley +1 more source
Interpolation and Synthesis of Sparse Samples in Exoplanet Atmospheric Modeling
The Planetary Science JournalThis paper highlights methods from geostatistics that are relevant to the interpretation, intercomparison, and synthesis of atmospheric model data, with a specific application to exoplanet atmospheric modeling.
Jacob Haqq-Misra +3 more
doaj +1 more source
IEEE AccessReliability analysis of structures characterized by multiple failure regions remains a challenging task, especially when the computationally intensive numerical models are used to predict the system response. In order to address this problem, an adaptive
Guofeng Xue, Xuetao Lyu
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IET Wireless Sensor Systems, 2021 A weighted stochastic gradient algorithm is proposed for cost‐efficient tracking of unknown, correlated spatial signals from randomly distributed sensor observations in localized wireless sensor field.
Hadi Alasti
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Ensemble Transport Adaptive Importance Sampling [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2019 Markov chain Monte Carlo methods are a powerful and commonly used family of numerical methods for sampling from complex probability distributions. As applications of these methods increase in size and complexity, the need for efficient methods increases. In this paper, we present a particle ensemble algorithm.
Colin Cotter, Simon Cotter, Paul Russell
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher +8 more
wiley +1 more source
Computationally Efficient Nonparametric Importance Sampling
, 2008 The variance reduction established by importance sampling strongly depends on the choice of the importance sampling distribution. A good choice is often hard to achieve especially for high-dimensional integration problems. Nonparametric estimation of the
Jan C. Neddermeyer, Kim Y. B., West M.
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Glucose sampling: importance of citrate [PDF]
Annals of Clinical Biochemistry: International Journal of Laboratory Medicine, 2016 We found that samples in which blood was acidified by citrate produced higher percentages of results within the desirable goal for bias compared with those collected into sodium fluoride. This confirms the findings of other studies. We also found that applying the multiplication factor suggested by Dimeski et al. (1.10) produced more results within the
Carta, Mariarosa +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn +4 more
wiley +1 more source
Estimation in hidden Markov models via efficient importance sampling
, 2007 Given a sequence of observations from a discrete-time, finite-state hidden Markov model, we would like to estimate the sampling distribution of a statistic.
Fuh, Cheng-Der, Hu, Inchi
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