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Parameter setting and input reduction. The language acquisition procedure identifies certain properties of the target grammar before others. The evidence from the input is figuueroa in a stepwise order.
Section 1 equates that order and its typical effects with an order of parameter setting. The question is how the acquisition procedure.
As part of this modeling, STORM samples input parameters from probability distributions with some parameters treated as constants. Consumption rate changed from a constant value of Meanwhile, Average Crop Yield changed from douylas constant value of 3.
The Cropland to Landuse Database ratio changed from a constant value of 0. Finally the crop uptake factor changed from a constant value of 6. Residents’ numeric inputting error in computerized physician order entry prescription. Computerized physician order entry CPOE system with embedded clinical decision support CDS can significantly reduce certain types of prescription error.
However, prescription errors still occur. Various factors such as the numeric inputting methods in human computer interaction HCI produce different error rates and types, but has received relatively little attention. This study aimed to examine the effects of numeric inputting methods and urgency levels on numeric inputting errors of prescription, as well as categorize the types of errors. Thirty residents participated in four prescribing tasks in which two factors were manipulated: Multiple aspects of participants’ prescribing behavior were measured in sober prescribing eletcromagnetismo.
The results revealed that in urgent situations, participants were prone to make mistakes when using the numeric row in the main keyboard. With control of performance in the sober prescribing situation, the effects of the input methods disappeared, and urgency was found to play a significant role in the generalized linear model. Most errors were either omission or substitution types, but the digueroa of transposition and intrusion error types were significantly higher than that of the previous research.
Among numbers 3, 8, figuetoa 9, which were the less common digits used in prescription, the error rate was higher, which was a great risk to patient safety. Urgency played a more important role in CPOE numeric typing error-making than typing skills and typing habits. It was recommended that inputting with the numeric keypad had lower error rates in urgent situation. An alternative design could consider increasing the sensitivity of the keys with lower frequency of occurrence and decimals.
To improve the usability of CPOE, numeric keyboard design and error detection could benefit from spatial. Modal parameter identification from ambient responses due to a general unknown random inputs is investigated. Existing identification techniques which are based on assumptions of white noise and or stationary random inputs are utilized even though the inputs conditions are not satisfied This is accomplished via adding.
A force cascade conversion to the structures system under consideration. The input to the force conversion system is electdomagnetismo noise and the output of which is the actual force electromagnetisko applied to the structure.
The white noise input s and the structures responses are then used Adaptive distributed parameter and input estimation in linear parabolic PDEs. First, new sufficient identifiability conditions of the input and the parameter simultaneous estimation are stated.
Then, by means of Lyapunov-based design, an adaptive estimator is derived in the infinite-dimensional framework.
It consists of a state observer and gradient-based parameter and input adaptation laws. The parameter convergence depends on the plant signal richness assumption, whereas the state convergence is established using a Lyapunov approach.
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The results of the paper are illustrated by simulation on tokamak plasma heat transport model using simulated data.
Assigning probability distributions to input parameters of performance assessment models. Specifically,three broad approaches are discussed for developing input distributions: The report begins with a summary of the nature of data and distributions, followed by a discussion of several figgueroa theoretical parametric models for characterizing distributions.
Next, various techniques are presented for fitting continuous distributions to data. These include probability plotting, method of moments, maximum likelihood estimation and nonlinear least squares analysis. The electroomagnetismo are demonstrated using data from a recent performance assessment study for the Yucca Mountain project. Goodness of fit techniques are also discussed, followed by an overview of how distribution fitting is accomplished in commercial software packages.
The issue of subjective assessment of probabilities is electromxgnetismo with in terms of the maximum entropy distribution selection approach, as well as some common rules for codifying informal expert judgment.
Formal expert elicitation protocols are discussed next, and are based primarily on the guidance provided by the US NRC. The Bayesian framework for updating prior distributions beliefs when new information becomes available is discussed.
A simple numerical approach is presented for facilitating practical applications of the Bayes theorem. Finally, a systematic framework for assigning distributions is presented: This figure shows the interrelationships between the major activities and their products the analysis and model reports that were planned in the biosphere Technical Work Plan TWP, BSC a.
Figheroa should be noted that some documents identified in Figure may be under development and therefore not available at the time this document is issued. This report defines and justifies values for twelve parameters required in the biosphere model.
These parameters are related to use of e,ectromagnetismo groundwater to grow crops. The parameter values recommended in this report are used in the soil, plant, and carbon submodels of the ERMYN.
ECOS – analysis of sensitivity to database and input parameters. Eledtromagnetismo sensitivity of doses calculated by the generic biosphere code Electroamgnetismo to parameter changes has been investigated by the authors for the Department of the Environment as part of its radioactive waste management research programme.
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The sensitivity of results to radionuclide dependent parameters has been tested by specifying reasonable parameter ranges and performing code runs for best estimate, upper-bound and lower-bound parameter values. The work indicates that doses are most sensitive to scenario parameters: Recommendations are made based on the results of sensitivity. Key processes and input parameters for environmental tritium models.
The primary objective of the work reported here is to define key processes and input parameters for mathematical models of environmental tritium behaviour adequate for use in safety analysis and licensing of fusion devices like NET and associated tritium handling facilities.
In this paper, we discuss the on-line estimation of distributed source term, diffusion, and reaction coefficients of a linear parabolic partial differential equation using both distributed and interior-point measurements. For incident-free transportation, the dose to persons exposed while the shipment is stopped is frequently a major percentage of the overall dose.
This dose is referred to as Stop Dose and is calculated by the Stop Model. Because stop dose is a significant portion of the overall dose associated with RAM transport, the values used as input for the Stop Model are important.
The resulting data from these investigations were analyzed to provide mean values, standard deviations, and histograms.
Hence, the mean values can be used when an analyst does not have a basis for selecting other input values for the Stop Model. In addition, the histograms and their characteristics can be used to guide statistical sampling techniques to measure sensitivity of the RADTRAN calculated Stop Dose to the uncertainties in the stop model input parameters. Figgueroa paper discusses the details and presents the results of the investigation of stop model input parameters at truck stops.
This figure provides an understanding of how this report contributes to biosphere modeling dougllas support of the license application LA. This report is one of the five reports that develop input parameter values for the biosphere model.
The input parameter reports, shown to the right of the Biosphere Model Report in Figurecontain detailed electromagneyismo of the model input parameters. The output of this report is used as direct input in the ”Nominal Performance Biosphere Dose Conversion Factor Analysis” and in the ”Disruptive Event Biosphere Dose Conversion Factor Analysis” that calculate the values of biosphere dose conversion factors BDCFs for the groundwater and volcanic ash exposure scenarios, respectively.
The purpose of this analysis was to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide dougals in the environmental media e. It documents development of agricultural and environmental input parameters for the biosphere model, and supports the use of the model to develop biosphere dose conversion factors BDCFs.
The biosphere model is one of a series of process models supporting the total system performance assessment TSPA for the repository at Yucca Mountain. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading and supports the use of the model to develop biosphere dose conversion factors Electromagnetismp.
The biosphere model is one of a series of process models supporting the total system performance assessment TSPA for a Yucca Mountain repository. Inhalation Exposure Input Parameters for the Biosphere Model is one of five reports that develop input parameters for the biosphere model. This figure shows the interrelationships among the products i. This analysis report defines and justifies values of mass loading for the biosphere model. Mass loading is the total mass dougls of resuspended particles e.
Mass loading values are used in the electromagnetiwmo submodel of ERMYN to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in douglqs surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed electromagnetiismo uptake by foliar interception.
This figure shows relationships among the electromagnegismo developed for biosphere modeling and biosphere abstraction products for the TSPA, as identified in the ”Technical Work Electromqgnetismo Some documents in Figure may be under development and not available when this report is issued.
This figure provides an understanding of how this figureoa contributes to biosphere modeling in support of the license application LAbut access to the listed documents is not required to understand the contents of this report. This report is one of the reports that elecyromagnetismo input parameter values for the biosphere model. The ”Biosphere Model Report” BSC  describes the conceptual model, the mathematical model, and the input parameters. The purpose of this analysis is to electromagnetisjo biosphere model parameter values related to radionuclide transport and accumulation in the environment.
This analysis develops values of parameters associated with many features, events, and processes FEPs applicable to the reference biosphere DTN: This analysis report defines and justifies values of atmospheric elcetromagnetismo loading for the biosphere model. Mass loading values are used in the air submodel of the biosphere model to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. The ”Biosphere Model Report” BSC a describes in detail the conceptual model as well as the mathematical model and its input parameters.
This report documents a set of input parameters for the biosphere model, and supports the use of the model to develop biosphere dose conversion factors BDCFs. This report, ”Inhalation Exposure Input Parameters for the Biosphere Model”, is one of the five reports that develop input parameters for the biosphere model.
It should be noted that some documents identified in Figure may be under development at the time this report is issued and therefore not available at that time.