Results 71 to 80 of about 4,426,397 (253)
Detection probability estimates from models with temporally-varying detection probability.
, 2019 Detection probability estimates (“Estimated” in gray) of lesser prairie-chickens from an N-mixture model with detection probability varying randomly by time (A, Scenario 9N) and by time and space (B, Scenario 10N).
Beth E. Ross (118546) +2 more
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Combining Non-Probability and Probability Survey Samples Through Mass Imputation [PDF]
, 2021 Analysis of non-probability survey samples requires auxiliary information at the population level. Such information may also be obtained from an existing probability survey sample from the same finite population. Mass imputation has been used in practice
Wu, Changbao +3 more
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Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
, 2010 This correspondence motivates simple and accurate evaluation of the error probability of multiantenna multiple-input–multipleoutput (MIMO) systems using optimum linear combining (OLC).
Yang, Lie-Liang, Yang, Wei
core +1 more source
Two-layer particle filter for multiple target detection and tracking [PDF]
, 2012 This paper deals with the detection and tracking of an unknown number of targets using a Bayesian hierarchical model with target labels. To approximate the posterior probability density function, we develop a two-layer particle filter.
Morelande, Mark R. +2 more
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A Bayesian Climate Change Detection and Attribution Assessment [PDF]
, 2005 A Bayesian analysis of the evidence for human-induced climate change in global surface temperature observations is described. The analysis uses the standard optimal detection approach and explicitly incorporates prior knowledge about uncertainty and the ...
Lee, T. C. K. +4 more
core +1 more source
Molecular Oncology, EarlyView.Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
Directed Design of Experiments (DOE) for Determining Probability of Detection (POD) Capability of NDE Systems (DOEPOD) [PDF]
, 2007 This viewgraph presentation reviews some of the issues that people who specialize in Non destructive evaluation (NDE) have with determining the statistics of the probability of detection.
Generazio, Edward R., Generazio, Ed
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