Results 91 to 100 of about 1,830,967 (336)

Geometry and topology of complex hyperbolic and CR-manifolds

open access: yes, 1997
We study geometry, topology and deformation spaces of noncompact complex hyperbolic manifolds (geometrically finite, with variable negative curvature), whose properties make them surprisingly different from real hyperbolic manifolds with constant ...
Apanasov, Boris
core   +2 more sources

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

open access: yesArthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg   +26 more
wiley   +1 more source

Hyperbolic Unfoldings of Minimal Hypersurfaces

open access: yes, 2018
We study the intrinsic geometry of area minimizing (and also of almost minimizing) hypersurfaces from a new point of view by relating this subject to quasiconformal geometry. For any such hypersurface we define and construct a so-called S-structure which
Lohkamp, Joachim
core   +1 more source

Point cloud denoising using a generalized error metric

open access: yesGraphical Models
Effective removal of noises from raw point clouds while preserving geometric features is the key challenge for point cloud denoising. To address this problem, we propose a novel method that jointly optimizes the point positions and normals.
Qun-Ce Xu, Yong-Liang Yang, Bailin Deng
doaj   +1 more source

Sarilumab in Polyarticular‐Course Juvenile Idiopathic Arthritis: Dose‐Finding and One‐Year Analysis of a Phase 2b, Open‐Label, Multicenter Study

open access: yesArthritis Care &Research, Accepted Article.
Objective This study assessed sarilumab in treating patients with polyarticular‐course juvenile idiopathic arthritis (pcJIA). Methods This phase 2b, open‐label study (NCT02776735) consisted of three sequential parts (each with a core‐treatment and extension‐phase). During part 1, three doses were assessed in two weight groups (Group A/B: ≥30–60 kg/≥10–<
Fabrizio De Benedetti   +19 more
wiley   +1 more source

Pharmacokinetics, Pharmacodynamics, and Safety of Subcutaneous Belimumab in Pediatric Patients with Systemic Lupus Erythematosus: A Multicenter, Open‐Label Trial

open access: yesArthritis Care &Research, Accepted Article.
Objective This study aimed to characterize the pharmacokinetics, pharmacodynamics, safety, and exploratory efficacy of subcutaneous belimumab in pediatric patients with active systemic lupus erythematosus (SLE) receiving standard therapy. Methods This single‐arm, multicenter, open‐label trial (GSK study 200908; NCT04179032) used three‐weight‐band ...
Hermine I. Brunner   +14 more
wiley   +1 more source

Likelihood geometry of determinantal point processes

open access: yesAlgebraic Statistics
11 ...
Friedman, Hannah   +2 more
openaire   +3 more sources

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

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