Results 11 to 20 of about 478,709 (297)

A Statistical Approach to Optimizing Concrete Mixture Design [PDF]

open access: yesThe Scientific World Journal, 2014
A step-by-step statistical approach is proposed to obtain optimum proportioning of concrete mixtures using the data obtained through a statistically planned experimental program. The utility of the proposed approach for optimizing the design of concrete mixture is illustrated considering a typical case in which trial mixtures were considered according ...
Shamsad Ahmad, Saeid A. Alghamdi
openaire   +3 more sources

Chromatin structure and context-dependent sequence features control prime editing efficiency

open access: yesFrontiers in Genetics, 2023
Prime editing (PE) is a highly versatile CRISPR–Cas9 genome editing technique. The current constructs, however, have variable efficiency and may require laborious experimental optimization.
Somang Kim   +15 more
doaj   +1 more source

Influence of local values on cD-optimal designs for logistic models

open access: yesTecnoLógicas, 2018
When experiments are designed, it is uncommon to use criteria to determine the treatments and number of replicates that should be conducted to properly estimate the parameters in the model under study.
Víctor Ignacio López-Ríos   +1 more
doaj   +1 more source

Optimal designs for population pharmacokinetic studies of oral artesunate in patients with uncomplicated falciparum malaria

open access: yesMalaria Journal, 2011
Background Currently, population pharmacokinetic (PK) studies of anti-malarial drugs are designed primarily by the logistical and ethical constraints of taking blood samples from patients, and the statistical models that are fitted to the data are not ...
Lindegardh Niklas   +5 more
doaj   +1 more source

Towards optimal design of anti-malarial pharmacokinetic studies

open access: yesMalaria Journal, 2009
Background Characterization of anti-malarial drug concentration profiles is necessary to optimize dosing, and thereby optimize cure rates and reduce both toxicity and the emergence of resistance.
White Nicholas J   +6 more
doaj   +1 more source

Optimality criteria for futility stopping boundaries for group sequential designs with a continuous endpoint

open access: yesBMC Medical Research Methodology, 2020
Background In clinical trials with fixed study designs, statistical inference is only made when the trial is completed. In contrast, group sequential designs allow an early stopping of the trial at interim, either for efficacy when the treatment effect ...
Xieran Li   +2 more
doaj   +1 more source

Global design of analog cells using statistical optimization techniques [PDF]

open access: yesAnalog Integrated Circuits and Signal Processing, 1994
El pdf del artículo es la versión post-print.
Medeiro Hidalgo, Fernando   +5 more
openaire   +4 more sources

Global optimization of metasurface designs using statistical learning methods [PDF]

open access: yesScientific Reports, 2019
AbstractOptimization of the performance of flat optical components, also dubbed metasurfaces, is a crucial step towards their implementation in realistic optical systems. Yet, most of the design techniques, which rely on large parameter search to calculate the optical scattering response of elementary building blocks, do not account for near-field ...
Elsawy, Mahmoud   +5 more
openaire   +3 more sources

Simulation-based design optimization for statistical power: Utilizing machine learning.

open access: yesPsychological Methods, 2022
The planning of adequately powered research designs increasingly goes beyond determining a suitable sample size. More challenging scenarios demand simultaneous tuning of multiple design parameter dimensions and can only be addressed using Monte Carlo simulation if no analytical approach is available.
Zimmer, Felix, Debelak, Rudolf
openaire   +3 more sources

Statistical Design of Genetic Algorithms for Combinatorial Optimization Problems [PDF]

open access: yesMathematical Problems in Engineering, 2011
Many genetic algorithms (GA) have been applied to solve different NP‐complete combinatorial optimization problems so far. The striking point of using GA refers to selecting a combination of appropriate patterns in crossover, mutation, and and so forth and fine tuning of some parameters such as crossover probability, mutation probability, and and so ...
Shahsavar, Moslem   +2 more
openaire   +2 more sources

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