Results 81 to 90 of about 67,958,627 (334)
IET Image ProcessingDoctors typically use non‐contrast‐enhanced computed tomography (NCECT) in the treatment of kidney cancer to map kidney and tumour structural information to functional imaging single‐photon emission computed tomography, which is then used to assess ...
Zhaotong Guo +9 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
BFEA: A SAR Ship Detection Model Based on Attention Mechanism and Multiscale Feature Fusion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingWith the advancements in deep learning and synthetic aperture radar (SAR) technology, an increasing number of individuals are utilizing deep-learning techniques to detect ships in SAR images.
Liming Zhou +4 more
doaj +1 more source
Data-Driven Shape Analysis and Processing [PDF]
, 2015 Data-driven methods play an increasingly important role in discovering geometric, structural, and semantic relationships between 3D shapes in collections, and applying this analysis to support intelligent modeling, editing, and visualization of geometric
Huang, Qixing +3 more
core
Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma
Pediatric Blood &Cancer, EarlyView.ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul +13 more
wiley +1 more source
Annual Review of Clinical PsychologyMethods for handling missing data in clinical psychology studies are reviewed. Missing data are defined, and a taxonomy of main approaches to analysis is presented, including complete-case and available-case analysis, weighting, maximum likelihood, Bayes, single and multiple imputation, and augmented inverse probability weighting.
openaire +2 more sources
Commentary: Exploratory data analysis [PDF]
Frontiers in Psychology, 2015 A commentary on “Exploratory data analysis,” in Handbook of Psychology, 2nd Edn. by Behrens, J. T., Dicerbo, K. E., Yel, N., and Levy, R. (2013). Vol. 2, eds J. A. Schinka, W. F. Velicer, and I. B. Weiner (Hoboken, NJ: Wiley), 34–70. Despite the importance of exploratory data analysis (EDA) in statistics and science, few people have worked on ...
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The ACIGA Data Analysis programme
, 2004 The Data Analysis programme of the Australian Consortium for Interferometric Gravitational Astronomy (ACIGA) was set up in 1998 by the first author to complement the then existing ACIGA programmes working on suspension systems, lasers and optics, and ...
+11 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior +7 more
wiley +1 more source
Annual Review of Public Health, 2016 With increasing accessibility to geographic information systems (GIS) software, statisticians and data analysts routinely encounter scientific data sets with geocoded locations. This has generated considerable interest in statistical modeling for location-referenced spatial data. In public health, spatial data routinely arise as aggregates over regions,
openaire +4 more sources