Results 71 to 80 of about 133,599 (236)

ON $q$-HAUSDORFF MATRICES

open access: yesTaiwanese Journal of Mathematics, 2011
The q-Hausdorff matrices are defined in terms of symbols from q-mathematics. The matrices become ordinary Hausdorrf matrices as q ? 1. In this paper, we consider the q-analogues of the Cesáro matrix of order one, both for 0 < q < 1 and q > 1, and obtain the lower bounds for these matrices for any 1 < p < ?.
Selmanogullari, T.   +2 more
openaire   +4 more sources

Comparison of Auto‐Contouring Tools for Delineation of Normal Organs at Risk in Paediatric Patients Undergoing Radiotherapy

open access: yesJournal of Medical Radiation Sciences, EarlyView.
Contouring organs at risk (OARs) manually in paediatric patients undergoing cranial‐spinal radiation therapy (CSI) is a time‐consuming, labour‐intensive task. This study aims to assess the accuracy and clinical acceptability of auto‐contours produced by the Siemens DirectORGANS auto‐contouring software on paediatric patients receiving CSI treatment ...
Isabel Cant   +6 more
wiley   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul   +8 more
wiley   +1 more source

Sequentially Hausdorff and full sequentially Hausdorff spaces

open access: yesCommunications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, 2019
Summary: In this paper, we define the notions of sequentially Hausdorff Space and full sequentially Hausdorff space. Also we give the relationships between these notions and Hausdorffness.
Akız, Hürmet Fulya, Koçak, Lokman
openaire   +5 more sources

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson   +4 more
wiley   +1 more source

Liquid Phase TEM of Diffusing Emulsion Droplets

open access: yesSmall, EarlyView.
Motion of emulsion droplets was observed via in situ liquid phase transmission electron microscopy. Analysis revealed that the motion is self‐affine and influenced by multiple stochastic processes, as well as a fractal landscape created by the electron beam.
Maria A. Vratsanos   +4 more
wiley   +1 more source

Accessing Bisphosphine Copper(I) Complexes with Recalcitrant Pterin–Phenanthroline Ligands Through Mechanochemistry

open access: yesInorganics
The synthesis of [Cu(PteN˄N)(P˄P)][BF4] complexes with pterin-fused phenanthroline (PteN˄N) derivatives and bisphosphine (P˄P) co-ligands was achieved through a mechanochemical approach. Due to the extremely poor solubility of PteN˄N ligands, traditional
Siva S. M. Bandaru   +4 more
doaj   +1 more source

The Role of –OEt Substituents in Molybdenum-Assisted Pentathiepine Formation—Access to Diversely Functionalized Azines

open access: yesMolecules
1,2,3,4,5-pentathiepines (PTEs) are naturally occurring polysulfides of increasing scientific interest based on their identified pharmacological activities.
Roberto Tallarita   +4 more
doaj   +1 more source

Hausdorff dimension of three-period orbits in Birkhoff billiards

open access: yes, 2011
We prove that the Hausdorff dimension of the set of three-period orbits in classical billiards is at most one. Moreover, if the set of three-period orbits has Hausdorff dimension one, then it has a tangent line at almost every point.Comment: 10 pages, 1 ...
Falconer K J   +6 more
core   +1 more source

Physics‐Driven Deep Neural Networks for Solving the Optimal Transport Problem Associated With the Monge–Ampère Equation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley   +1 more source

Home - About - Disclaimer - Privacy