An exploration into the conversion of dominance to additive genetic variance in contrasting environments.
Sign Up to like & getrecommendations! Published in 2022 at "American journal of botany"
DOI: 10.1002/ajb2.16083
Abstract: PREMISE The evolutionary response of a trait to environmental change depends upon the level of additive genetic variance. It has been long argued that sustained selection will tend to deplete additive genetic variance as favoured… read more here.
Keywords: variance; genetic variance; additive genetic; conversion dominance ... See more keywords
Variance‐constrained resilient H∞ filtering for mobile robot localization under dynamic event‐triggered communication mechanism
Sign Up to like & getrecommendations! Published in 2021 at "Asian Journal of Control"
DOI: 10.1002/asjc.2581
Abstract: This paper is concerned with the mobile robot localization problem subject to filter gain uncertainty under dynamic event‐triggered communication mechanism, and meanwhile, the H∞ filtering performance and the error variance constraint are guaranteed. For saving… read more here.
Keywords: variance; mobile robot; robot localization; localization ... See more keywords
Postgraduate student satisfaction: A multilevel analysis of PTES data
Sign Up to like & getrecommendations! Published in 2017 at "British Educational Research Journal"
DOI: 10.1002/berj.3294
Abstract: Student satisfaction has received growing attention in Higher Education systems in recent years, and are increasingly used for internal and external accountability in the sector. This does leave us with questions on the extent to… read more here.
Keywords: postgraduate student; student; variance; student satisfaction ... See more keywords
Strictly conservative expected values in the case of heteroscedastic errors and their application to evidential breath alcohol confidence intervals for concentration measurements
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.3029
Abstract: In this study, 2 different methods for determining strictly conservative confidence intervals for expected values in the case of heteroscedastic errors are presented. A conservative confidence interval means that a given false positive error rate… read more here.
Keywords: strictly conservative; confidence; expected values; case ... See more keywords
Quantifying variance across spatial scales as part of fire regime classifications
Sign Up to like & getrecommendations! Published in 2018 at "Ecosphere"
DOI: 10.1002/ecs2.2343
Abstract: The emergence of large-scale fire classifications and products informed by remote sensing data has enabled opportunities to include variability or heterogeneity as part of modern fire regime classifications. Currently, basic fire metrics such as mean… read more here.
Keywords: regime classifications; variance; grain; fire ... See more keywords
Robust estimation of conditional variance of time series using density power divergences
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Forecasting"
DOI: 10.1002/for.2465
Abstract: Suppose Zt is the square of a time series Yt whose conditional mean is zero. We do not specify a model for Yt, but assume that there exists a p×1 parameter vector Φ such that… read more here.
Keywords: robust estimation; methodology; density power; time series ... See more keywords
Intrinsic functional connectivity variance and state‐specific under‐connectivity in autism
Sign Up to like & getrecommendations! Published in 2017 at "Human Brain Mapping"
DOI: 10.1002/hbm.23764
Abstract: Autism spectrum disorder (ASD) is a neurodevelopmental condition associated with altered brain connectivity. Previous neuroimaging research demonstrates inconsistent results, particularly in studies of functional connectivity in ASD. Typically, these inconsistent findings are results of studies… read more here.
Keywords: connectivity; variance; dynamic functional; brain ... See more keywords
Post‐stroke cognitive deficits rarely come alone: Handling co‐morbidity in lesion‐behaviour mapping
Sign Up to like & getrecommendations! Published in 2019 at "Human Brain Mapping"
DOI: 10.1002/hbm.24885
Abstract: Post‐stroke behavioural symptoms often correlate and systematically co‐occur with each other, either because they share cognitive processes, or because their neural correlates are often damaged together. Thus, neuropsychological symptoms often share variance. Many previous lesion‐behaviour… read more here.
Keywords: post stroke; lesion behaviour; mapping; variance ... See more keywords
Variances with Bonferroni means and ordered weighted averages
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22184
Abstract: The variance is a statistical measure frequently used for analysis of dispersion in the data. This paper presents new types of variances that use Bonferroni means and ordered weighted averages in the aggregation process of… read more here.
Keywords: means ordered; bonferroni means; variance; ordered weighted ... See more keywords
Dynamic imaging and quantification of subcellular motion with eigen‐decomposition optical coherence tomography‐based variance analysis
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Biophotonics"
DOI: 10.1002/jbio.201900076
Abstract: The dynamic properties of subcellular organism are important biomarkers of the health. Imaging subcellular level dynamics provides effective solutions for evaluating cell metabolism and testing the responses of cells to pathogens and drugs in pharmaceutical… read more here.
Keywords: eigen decomposition; optical coherence; variance; variance analysis ... See more keywords
Variance-aware attention U-Net for multi-organ segmentation.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.15322
Abstract: PURPOSE With the continuous development of deep learning based medical image segmentation technology, it is expected to attain more robust and accurate performance for more challenging tasks, such as multi-organs, small/irregular areas, and ambiguous boundary issues.… read more here.
Keywords: segmentation; attention; variance; multi organ ... See more keywords