Results 61 to 70 of about 9,566,413 (315)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
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
Tactics Exploration Framework based on Genetic Programming
International Journal of Computational Intelligence Systems, 2017 Engagement-level simulation is a quantitative way to evaluate the effectiveness of weapon systems before construction and acquisition, minimizing the risk of investment. Though contractors have built simulation systems with high fidelity models of weapon
Jian Yao +4 more
doaj +1 more source
Predicting Defects in Software Using Grammar-Guided Genetic Programming [PDF]
, 2008 The knowledge of the software quality can allow an organization to allocate the needed resources for the code maintenance. Maintaining the software is considered as a high cost factor for most organizations. Consequently, there is need to assess software
Dounias, Georgios, Tsakonas, Athanasios
core +2 more sources
Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright +13 more
wiley +1 more source
Hydropower Unit Commitment Using a Genetic Algorithm with Dynamic Programming
Energies, 2023 This study presents a genetic algorithm integrated with dynamic programming to address the challenges of the hydropower unit commitment problem, which is a nonlinear, nonconvex, and discrete optimization, involving the hourly scheduling of generators in ...
Shuangquan Liu +6 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Genetic Programming to Optimize 3D Trajectories
ISPRS International Journal of Geo-InformationTrajectory optimization is a method of finding the optimal route connecting a start and end point. The suitability of a trajectory depends on not intersecting any obstacles, as well as predefined performance metrics.
André Kotze +3 more
doaj +1 more source
Distribution of municiplaities´ tax incomes/revenues modelling by means of genetic programming [PDF]
, 2010 The Goal of this contribution is to demonstrate an illustrative example of genetic programming application in the area of regional administrations financing.
Petr, Pavel, Provazníková, Romana
core +1 more source
Finding efficient nonlinear functions by means of genetic programming [PDF]
, 2003 7th International Conference, KES 2003. Proceedings, Part I. Oxford, UK, September 3-5, 2003The design of highly nonlinear functions is relevant for a number of different applications, ranging from database hashing to message authentication.
Hernández, Julio C. +2 more
core +2 more sources