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In this paper, the design and optimization process of fuzzy position controller is supported by learning techniques derived from neural network where a radial basis function (RBF) neural network is implemented to learn fuzzy rules and membership functions with predictor of recurrent neural network (RNN) model.
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To examine compliance with International Committee of Medical Journal Editors' (ICMJE) policy on prospective trial registration along with predictors of compliance.
In AHEAD, the self-reported receipt of screening mammograms and Pap smears in the most recent 2 years were reported in 1995 and 2000, with predictors of receipt measured in 1993 and 1998.
The self-reported receipt of screening mammograms and Pap smears in the most recent 2 years were reported in 1996 and 2000 for HRS, with predictors of receipt measured in 1994 and 1998.
Multivariate analysis was performed with predictors of ICU and hospital mortality (age, Acute Physiology and Chronic Health Evaluation IV predicted mortality) as well as factors associated with (hyper chloremia, metabolic acidosis and fluid resuscitation.
To better elucidate the potential mechanisms, and to possibly provide clinicians with predictors of the response to Tolvaptan, we searched for variables associated to the degree of the effect.
Therefore we were interested in the analysis of the roles of single nucleotide polymorphism (SNP) of GSTP1 (glutathione S-transferase pi 1 gene) alleles to identify pharmacological links with predictors of clinical responses and toxicities.93 MBC patients receiving thiotepa plus docetaxel chemotherapy were enrolled in this study.
A GLM with predictors of interest (i.e. correct vs. incorrect trials with/without confidence from behavioral data) was applied for the individual z-normalized volume time courses.
In addition, perceived age has been shown to be predictive of mortality in elderly individuals and associated with predictors of age-related diseases independently of chronological age [3], [4], [5] indicating its utility as a biomarker of aging.
The GLM in BrainVoyager with predictors of interest (i.e., correct vs. error trials determined from the behavioral data) was applied for the individual Z-normalized volume time courses to investigate the delay-related brain activity.
Therefore, we could analyze the robustness of bacterial sncRNAs to this consequence, gaining accuracy with predictors of transcription termination [ 46].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com