Results 61 to 70 of about 10,065,028 (360)
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Fine-grained timing using genetic programming [PDF]
, 2010 In previous work, we have demonstrated that it is possible to use Genetic Programming to minimise the resource consumption of software, such as its power consumption or execution time. In this paper, we investigate the extent to which Genetic Programming
A.F. Webster +4 more
core +1 more source
Probabilistic programming in Python using PyMC3
PeerJ Computer Science, 2016 Probabilistic Programming allows for automatic Bayesian inference on user-defined probabilistic models. Recent advances in Markov chain Monte Carlo (MCMC) sampling allow inference on increasingly complex models.
J. Salvatier +2 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
Features of the magnetorefractive effect in Co–Si nanocomposites
Российский технологический журналObjectives. The work set out to study the spectra of the magnetorefractive effect (MRE) in the cobalt–silicon (Co–Si) nanocomposite, taking into account the contribution of the size effect(SE), and to compare the results obtained by varying the ...
A. N. Yurasov +3 more
doaj +1 more source
Mixed-integer Quadratic Programming is in NP [PDF]
, 2014 Mixed-integer quadratic programming is the problem of optimizing a quadratic function over points in a polyhedral set where some of the components are restricted to be integral. In this paper, we prove that the decision version of mixed-integer quadratic
Del Pia, Alberto +2 more
core
, 2018 Programming languages and platforms improve over time, sometimes resulting in new language features that offer many benefits. However, despite these benefits, developers may not always be willing to adopt them in their projects for various reasons.
Khatchadourian, Raffi +1 more
core +3 more sources
Program Transformation for Program Verification
EPiC Series in Computing, 2018 We present a transformational approach to program verification and software model checking that uses three main ingredients:(i) Constraint Logic Programming (CLP),(ii) metaprogramming and program specialization, and(iii) proof by transformation.
PETTOROSSI, ALBERTO, Proietti, M.
openaire +5 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
Model evaluation and selection in multiple nonlinear regression analysis
Mathematical Modelling and Analysis, 2007 The main problem in regression model selection is finding the best model that best fits the data, i.e. it does not neither overfit nor underfit. The aim of this work is to show one of possible ways to find adequate nonlinear regression models (parametric)
Gints Jēkabsons +2 more
doaj +1 more source