Results 211 to 220 of about 647,893 (263)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito +8 more
wiley +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Medicare Advantage Plan Bid Risk Underestimates and Corresponding Insurer Revenues. [PDF]
Health Serv ResScheinker D +4 more
europepmc +1 more source
Proof of Citizenship at the Point of Care: Documentation Requests and Forgone Care Among California Immigrants, 2019-2022. [PDF]
Health Serv ResYoo N.
europepmc +1 more source
Using Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Predict Inpatient Admitting Specialty for Emergency Department Patients: Single Centre Deep Learning Analysis. [PDF]
Emerg Med AustralasDinh M +7 more
europepmc +1 more source
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The weighted average multiexperton
Information Sciences, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Salvador Linares-Mustarós +3 more
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ACM Transactions on Graphics, 2013
We consider the problem of generalizing affine combinations in Euclidean spaces to triangle meshes: computing weighted averages of points on surfaces. We address both the forward problem , namely computing an average of given anchor points on the mesh with given weights, and the inverse problem
Daniele Panozzo +3 more
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We consider the problem of generalizing affine combinations in Euclidean spaces to triangle meshes: computing weighted averages of points on surfaces. We address both the forward problem , namely computing an average of given anchor points on the mesh with given weights, and the inverse problem
Daniele Panozzo +3 more
openaire +2 more sources
Canadian Journal of Mathematics, 1993
AbstractLet ℝ denote the real line. Let {Tt}tєℝ be a measure preserving ergodic flow on a non atomic finite measure space (X, ℱ, μ). A nonnegative function φ on ℝ is called a weight function if ∫ℝ φ(t)dt = 1. Consider the weighted ergodic averagesof a function f X —> ℝ, where {θk} is a sequence of weight functions. Some sufficient and some necessary
Akcoglu, M. A., Déniel, Y.
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AbstractLet ℝ denote the real line. Let {Tt}tєℝ be a measure preserving ergodic flow on a non atomic finite measure space (X, ℱ, μ). A nonnegative function φ on ℝ is called a weight function if ∫ℝ φ(t)dt = 1. Consider the weighted ergodic averagesof a function f X —> ℝ, where {θk} is a sequence of weight functions. Some sufficient and some necessary
Akcoglu, M. A., Déniel, Y.
openaire +1 more source
Ordered fuzzy weighted averages and ordered linguistic weighted averages
International Conference on Fuzzy Systems, 2010The ordered weighted average (OWA) operator has been widely used in decision-making. In many situations, however, providing crisp numbers for either the sub-criteria or the weights is problematic (there could be uncertainties about them), and it is more meaningful to provide intervals, type-1 fuzzy sets (T1 FSs), interval type-2 fuzzy sets (IT2 FSs ...
Dongrui Wu, Jerry M. Mendel
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