Results 101 to 110 of about 4,637,538 (347)

Estimates of essential norm of the Li-Stević integral type operator between Zygmund type spaces

, 2016
For an analytic selfmap φ of the open unit disc D and an analytic function g on D , the Li-Stević integral type operator C φ is given by ( C φ f ) (z) = ∫ z 0 f ′(φ(ξ ))g(ξ )dξ .
A. Sanatpour
semanticscholar   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Norm and Essential Norm of an Integral-Type Operator from the Dirichlet Space to the Bloch-Type Space on the Unit Ball

Abstract and Applied Analysis, 2010
Operator norm and essential norm of an integral-type operator, recently introduced by this author, from the Dirichlet space to the Bloch-type space on the unit ball in ℂ𝑛 are calculated here.
Stevo Stević
doaj   +1 more source

CTS and normativity: the essentials of preemptive counter-terrorism interventions [PDF]

Critical Studies on Terrorism, 2019
This article critically assesses calls for ‘normativity’ in counter-radicalisation and counter-extremism, and suggests that aligning with hegemonic narratives about securing the ‘pre-crime’ space is problematic in a context of emancipation. Utilising interviews with a number of Prevent officials (including Channel ‘de-radicalisation’ mentors), the ...
openaire   +2 more sources

Essential norm estimates for Hankel operators on convex domains in $\mathbb{C}^2$ [PDF]

, 2015
Let $\Omega\subset \mathbb{C}^2$ be a bounded convex domain with $C^1$-smooth boundary and $\varphi\in C^1(\overline{\Omega})$ such that $\varphi$ is harmonic on the nontrivial disks in the boundary. We estimate the essential norm of the Hankel operator $
Z. C̆uc̆ković, Sonmez Sahutoglu
semanticscholar   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Essential Norm of Composition Operators on Banach Spaces of Hölder Functions

Abstract and Applied Analysis, 2011
Let (X,d) be a pointed compact metric space, let ...
A. Jiménez-Vargas, Miguel Lacruz, Moisés Villegas-Vallecillos   +2 more
doaj   +1 more source

Weighted Composition Operators from Besov Zygmund-Type Spaces into Zygmund-Type Spaces

Journal of Function Spaces, 2020
The boundedness, compactness, and essential norm of weighted composition operators from Besov Zygmund-type spaces into Zygmund-type spaces are investigated in this paper.
Xiangling Zhu, Nanhui Hu
doaj   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression

, 2020
Concentration inequalities form an essential toolkit in the study of high dimensional (HD) statistical methods. Most of the relevant statistics literature in this regard is based on sub-Gaussian or sub-exponential tail assumptions.
Chakrabortty, Abhishek, Kuchibhotla, Arun Kumar   +1 more
core