Results 91 to 100 of about 2,035,117 (267)
Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization
IEEE Access, 2019 Convex optimization, rather than a non-convex approach, still play important roles in many computer science applications because of its exactness and efficiency.
Tatsuya Yokota, Hidekata Hontani
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Anthracycline‐related cardiac remodeling precedes heart failure in childhood cancer survivors. The objectives of this study were to determine the relationships between patient‐specific factors, moderate‐to‐vigorous physical activity (MVPA), and cardiac remodeling.
Hari K. Narayan +15 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An earlier study on children diagnosed with acute lymphoblastic leukemia (ALL) at Moi Teaching and Referral Hospital (MTRH) in Kenya reported a low event‐free survival (EFS), excess treatment abandonment, and high induction mortality.
Gilbert Olbara +7 more
wiley +1 more source
A Novel Total Variation Model for Low-Dose CT Image Denoising
IEEE Access, 2018 Low-dose computed tomography (LDCT) images are polluted by mottle noise and streak artifacts. To improve LDCT images quality, this paper proposes a novel total variation (NTV) model.
Wenbin Chen +8 more
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ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya +11 more
wiley +1 more source
Cross-Work Theme Identification in Long Novels via Nonnegative Tensor Factorization
MathematicsIdentifying the major themes and recurring motifs of an author’s long novels is a basic task in literary studies. To support this task in a scalable way while retaining within-novel narrative variation, we model an author corpus as a third-order ...
Yiying Chen, Maosheng Liu, Yuning Yang
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Trends to equilibrium in total variation distance
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 2009 This paper presents different approaches, based on functional inequalities, to study the speed of convergence in total variation distance of ergodic diffusion processes with initial law satisfying a given integrability condition. To this end, we give a general upper bound "à la Pinsker" enabling us to study our problem firstly via usual functional ...
Cattiaux, Patrick, Guillin, Arnaud
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Misperception of Body Weight After Childhood Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle +8 more
wiley +1 more source
A TV–BM3D Iterative Algorithm for VMAT-CT Reconstruction
Journal of ImagingVolumetric modulated arc therapy-computed tomography (VMAT-CT), which is the CT reconstructed using the portal images collected during VMAT, can potentially be an effective onsite imaging tool.
Chia-Lung Chien, Beibei Guo, Rui Zhang
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Non-Quadratic Distances in Model Assessment
Entropy, 2018 One natural way to measure model adequacy is by using statistical distances as loss functions. A related fundamental question is how to construct loss functions that are scientifically and statistically meaningful.
Marianthi Markatou, Yang Chen
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