Results 51 to 60 of about 1,590,381 (357)
First principles global optimization of metal clusters and nanoalloys
The global optimization of nanoparticles, such as pure or bimetallic metal clusters, has become a very important and sophisticated research field in modern nanoscience.
Marc Jäger+2 more
doaj +1 more source
Statistical process control to monitor use of a web‐based autoplanning tool
Abstract Purpose To investigate the use of statistical process control (SPC) for quality assurance of an integrated web‐based autoplanning tool, Radiation Planning Assistant (RPA). Methods Automatically generated plans were downloaded and imported into two treatment planning systems (TPSs), RayStation and Eclipse, in which they were recalculated using ...
Hunter Mehrens+5 more
wiley +1 more source
Advanced optimization algorithms with a variety of configurable parameters become increasingly difficult to apply effectively to solving optimization problems. Appropriate algorithm configuration becomes highly relevant, still remaining a computationally
Agasiev Taleh
doaj +1 more source
Global Optimization by Adiabatic Switching [PDF]
We apply a recently introduced method for global optimization to determine the ground state energy and configuration for model metallic clusters. The global minimum for a given N–atom cluster is found by following the damped dynamics of the N particle system on an evolving potential energy surface.
Hunjan, Jagtar S., Ramaswamy, R.
openaire +2 more sources
Treatment planning with a 2.5 MV photon beam for radiation therapy
Abstract Purpose The shallow depth of maximum dose and higher dose fall‐off gradient of a 2.5 MV beam along the central axis that is available for imaging on linear accelerators is investigated for treatment of shallow tumors and sparing the organs at risk (OARs) beyond it.
Navid Khaledi+5 more
wiley +1 more source
Globally, Healthcare-associated infections (HCAIs) pose a significant threat to patient safety and healthcare systems. In low- and middle-income countries (LMICs), the lack of adequate resources to manage HCAIs, as well as the weak healthcare system ...
Herman Mwanja+11 more
doaj +1 more source
An improved chaotic firefly algorithm for global numerical optimization
Firefly algorithm (FA) is a prominent metaheuristc technique. It has been widely studied and hence there are a lot of modified FA variants proposed to solve hard optimization problems from various areas.
Ivona Brajević, Predrag Stanimirović
doaj +1 more source
Hovering Swarm Particle Swarm Optimization
PSO is a simple and yet powerful metaheuristic search algorithm widely used to solve various optimization problems. Nevertheless, conventional PSO tends to lose its population diversity drastically and suffer with compromised performance when ...
Aasam Abdul Karim+2 more
doaj +1 more source
Global optimization via optimal decision trees
AbstractThe global optimization literature places large emphasis on reducing intractable optimization problems into more tractable structured optimization forms. In order to achieve this goal, many existing methods are restricted to optimization over explicit constraints and objectives that use a subset of possible mathematical primitives.
Dimitris Bertsimas, Berk Öztürk
openaire +3 more sources
Hermansky‐Pudlak syndrome type 1 (HPS‐1) is a rare, autosomal recessive disorder with poorly understood renal involvement. Urinary extracellular vesicle (uEV) proteomics and a novel Hps1 mouse model reveal mitochondrial abnormalities and lipid accumulation in HPS‐1 kidney proximal tubule cells. Serum ApoA1 correlates with kidney function in our patient
Dawn M. Maynard+7 more
wiley +1 more source