Results 1 to 10 of about 490,539 (171)

Tail‐Robust Quantile Normalization [PDF]

open access: yesPROTEOMICS, 2020
Abstract High‐throughput biological data—such as mass spectrometry (MS)‐based proteomics data—suffer from systematic non‐biological variance due to systematic errors. This hinders the estimation of “real” biological signals and, in turn, decreases the power of statistical tests and biases the identification of differentially expressed
Brombacher, Eva   +2 more
openaire   +3 more sources

Multi-dimensional normal approximation of heavy-tailed moving averages [PDF]

open access: yesStochastic Processes and their Applications, 2022
In this paper we extend the refined second-order Poincar inequality for Poisson functionals from a one-dimensional to a multi-dimensional setting. Its proof is based on a multivariate version of the Malliavin-Stein method for normal approximation on Poisson spaces.
Azmoodeh, Ehsan   +2 more
openaire   +4 more sources

Real-Time MRI-guided Radiation Therapy for Locally Advanced Pancreatic Tail Cancer in Contact with The Colon

open access: yesIndonesian Journal of Cancer, 2023
Introduction: Curative radiation therapy for locally advanced pancreatic ductal adenocarcinoma (PDAC) is difficult when the tumor is in contact with the colon.
Yukihiro Hama, Etsuko Tate
doaj   +1 more source

Anti-inflammatory pharmacotherapy with ketoprofen ameliorates experimental lymphatic vascular insufficiency in mice. [PDF]

open access: yesPLoS ONE, 2009
BACKGROUND:Disruption of the lymphatic vasculature causes edema, inflammation, and end-tissue destruction. To assess the therapeutic efficacy of systemic anti-inflammatory therapy in this disease, we examined the impact of a nonsteroidal anti ...
Kenta Nakamura   +3 more
doaj   +1 more source

Wind Defiant Morphing Drones

open access: yesAdvanced Intelligent Systems, 2023
Intense winds are a challenge for vertical take‐off and landing drones with wings. In particular, in the hovering regime, wings are sensitive to wind currents that can be detrimental to their operational and energetic performances.
Charalampos Vourtsis   +4 more
doaj   +1 more source

Quantitative analysis of reaction gases or exhaust using an online process mass spectrometer [PDF]

open access: yesMetrology and Measurement Systems, 2023
Online quantitative analysis of reaction gases or exhaust in industrial production is of great significance to improve the production capacity and process.Anovel method is developed for the online quantitative analysis of reaction gases or exhaust using ...
Fu-Qiang Wei   +5 more
doaj   +1 more source

Interfacial and Foaming Properties of Tailor-Made Glycolipids—Influence of the Hydrophilic Head Group and Functional Groups in the Hydrophobic Tail

open access: yesMolecules, 2020
Glycolipids are a class of biodegradable surfactants less harmful to the environment than petrochemically derived surfactants. Here we discuss interfacial properties, foam stability, characterized in terms of transient foam height, gas volume fraction ...
Rebecca Hollenbach   +6 more
doaj   +1 more source

Correction of Vertebral Bone Development in Ectodysplasin A1-Deficient Mice by Prenatal Treatment With a Replacement Protein

open access: yesFrontiers in Genetics, 2021
X-linked hypohidrotic ectodermal dysplasia with the cardinal symptoms hypodontia, hypotrichosis and hypohidrosis is caused by a genetic deficiency of ectodysplasin A1 (EDA1).
Clara-Sophie Kossel   +12 more
doaj   +1 more source

Cauchy, normal and correlations versus heavy tails

open access: yesStatistics & Probability Letters, 2022
A surprising result of Pillai and Meng (2016) showed that a transformation $\sum_{j=1}^n w_j X_j/Y_j$ of two iid centered normal random vectors, $(X_1,\ldots, X_n)$ and $(Y_1,\ldots, Y_n)$, $n>1$, for any weights $0\leq w_j\leq 1$, $ j=1,\ldots, n$, $\sum_{j=1}^n w_j=1$, has a Cauchy distribution regardless of any correlations within the normal ...
Xu, Hui   +3 more
openaire   +3 more sources

Marginal Tail-Adaptive Normalizing Flows

open access: yes, 2022
Learning the tail behavior of a distribution is a notoriously difficult problem. By definition, the number of samples from the tail is small, and deep generative models, such as normalizing flows, tend to concentrate on learning the body of the distribution.
Laszkiewicz, Mike   +2 more
openaire   +2 more sources

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