Results 71 to 80 of about 6,487,763 (293)
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
Intelligent Arabic Handwriting Recognition Using Different Standalone and Hybrid CNN Architectures
Handwritten character recognition is a computer-vision-system problem that is still critical and challenging in many computer-vision tasks. With the increased interest in handwriting recognition as well as the developments in machine-learning and deep ...
Waleed Albattah, Saleh Albahli
doaj +1 more source
Spectral Compressive Sensing with Model Selection
The performance of existing approaches to the recovery of frequency-sparse signals from compressed measurements is limited by the coherence of required sparsity dictionaries and the discretization of frequency parameter space.
Jiang, Sumxin +5 more
core +1 more source
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
We assessed the effect of conditions and resources on the species richness of epigaeic ants in a cloud forest of the Ibitipoca State Park, Brazil. We hypothesized that the characteristics that are best related with the epigaeic microhabitat affects ant ...
Antonio Cesar Medeiros de Queiroz +2 more
doaj
A New Motion Model Selection Approach for Multi-Model Particle Filters [PDF]
One of the important factors in real-time tracking of the moving radar targets is the speed of the algorithm. In the multi-model particle filters (MMPFs) which is frequently preferred tracking of such targets, the numbers of particles and motion models ...
M. B. Ucar, D. Yilmaz
doaj
Minimising the Kullback–Leibler Divergence for Model Selection in Distributed Nonlinear Systems
The Kullback–Leibler (KL) divergence is a fundamental measure of information geometry that is used in a variety of contexts in artificial intelligence.
Oliver M. Cliff +2 more
doaj +1 more source
Equilibrium Selection in Bargaining Models [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ken Binmore +2 more
openaire +2 more sources
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
tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models
The R package tscount provides likelihood-based estimation methods for analysis and modeling of count time series following generalized linear models. This is a flexible class of models which can describe serial correlation in a parsimonious way.
Tobias Liboschik +2 more
doaj +1 more source

