• Article: Comparison of infiltration model parameter estimation techniques under different land use/land covers Journal: International Journal of Hydrology Science and Technology (IJHST) 2021 Vol.12 No.4 pp.448 - 476 Abstract: Quantification of infiltration rate of the soil is a complex problem because of its variability, selection of suitable infiltration model, and determination of infiltration model parameters which depend on various soil characteristics and land use/land cover. (inderscience.com)
  • A lattice gas model for the evaluation of transport and diffusion parameters of stack emissions in air R. Cipollone & A. Sciarretta Dipartimento di Energetica, Universita dell'Aquila, Italy Abstract A quantitative Lattice Gas model is proposed in this paper for the prediction of the interaction between pollutant emissions from power plant stacks and the surrounding environment. (witpress.com)
  • ABSTRACT The burden of influenza was estimated from surveillance data in Tunisia using epidemiological parameters of transmission with WHO classical tools and mathematical modelling. (who.int)
  • In this paper, a new RLS estimator with varying forgetting factor was proposed for the recursive parameter estimation process. (academicjournals.org)
  • Kourtellos, A. (2011), "Chapter 13 Modeling Parameter Heterogeneity in Cross-Country Regression Models", de La Grandville, O. (Ed.) Economic Growth and Development ( Frontiers of Economics and Globalization, Vol. 11 ), Emerald Group Publishing Limited, Leeds, pp. 367-387. (emerald.com)
  • This article describes how to obtain an initial guess for nonlinear regression models, especially nonlinear mixed models. (sas.com)
  • For linear regression models, you don't usually need to provide an initial guess for the parameters. (sas.com)
  • However, procedures such as PROC NLIN and PROC NLMIXED in SAS enable you to fit arbitrary nonlinear regression models. (sas.com)
  • Beck, N 1983, ' Time-varying Parameter Regression Models ', American Journal of Political Science . (nyu.edu)
  • We used uncertainty and sensitivity analysis of the basic reproductive number R 0 to assess the role that model parameters play in outbreak control. (cdc.gov)
  • The sensitivity of the observed quantities at the ice surface to parameters in the models, for example the basal topography and friction coefficients, is analyzed by first deriving the time dependent adjoint equations. (arxiv.org)
  • The adjoint equations are solved analytically and numerically and the sensitivity of the desired parameters is determined in several examples in two dimensions. (arxiv.org)
  • The aim of the present study was to analyze the sensitivity of subject-specific model predictions (i.e., joint angles, joint moments, muscle and joint contact forces) during walking to the uncertainties in the identification of body landmark positions, maximum muscle tension and musculotendon geometry. (simtk.org)
  • This study analyzed the sensitivity of the predictions of an MRI-based musculoskeletal model (i.e., joint angles, joint moments, muscle and joint contact forces) during walking to the unavoidable uncertainties in parameter identification, i.e., body landmark positions, maximum muscle tension and musculotendon geometry. (simtk.org)
  • The suggested methodology allows for explicit risk-based decision-making and can be used in policy prioritization models that cannot define robust optimal policy under standard parameter sensitivity analysis tests. (ifw-kiel.de)
  • Sensitivity analysis was performed using a pavement model overlying an EPS geofoam layer under traffic loading. (syr.edu)
  • A sensitivity analysis performed in 3DSSPP demonstrates that varying the parameters inputs will have large effects on L5/S1 compression force calculations. (cdc.gov)
  • New data on COVID-19 are available daily, yet information about the biological aspects of SARS-CoV-2 and epidemiological characteristics of COVID-19 remain limited, and uncertainty remains around nearly all parameter values. (cdc.gov)
  • Independent of the tools used for model creation, there are unavoidable uncertainties associated with parameter identification, whose effect on model predictions is still not fully understood. (simtk.org)
  • The uncertainty in a given hydrologic prediction is the compound effect of the parameter, data, and structural uncertainties associated with the underlying model. (escholarship.org)
  • This report presents the mathematical expressions and the computational techniques required to compute maximum-likelihood estimates for the parameters of the National Descriptive Model of Mercury in Fish (NDMMF), a statistical model used to predict the concentration of methylmercury in fish tissue. (usgs.gov)
  • The expressions and techniques reported here were prepared to support the development of custom software capable of computing NDMMF parameter estimates more quickly and using less computer memory than is currently possible with available general-purpose statistical software. (usgs.gov)
  • The parameter estimates for the fixed-effects model are often good initial guesses for the parameters in the full model. (sas.com)
  • Least squares methods directly solve for the parameter estimates by using the data. (sas.com)
  • Several other regression procedures also fit a related (simpler) model and then use the estimates for the simpler model as an initial guess for the full model. (sas.com)
  • Similarly, one way to fit a generalized linear mixed models is to first solve a linear mixed model and use those estimates as starting values for the generalized mixed model. (sas.com)
  • For some maximum-likelihood estimates (MLE), you can use the method of moments to choose initial parameters . (sas.com)
  • Use the estimates from the fixed-effect model as an initial guess for the full model. (sas.com)
  • Notice that the estimates for t1 and t2 in the two-parameter model are close to the values in the full model. (sas.com)
  • Evaluating the environmental impact of new munitions requires that estimates be made of their physical chemical properties and, more important, the parameters that determine their fate in the environment. (serdp-estcp.org)
  • Specifically, the effects of conditioning posterior model parameter distribution under different sets of signatures and the role played by uncertainty in their regional estimates were investigated with specific reference to the application of rainfall-runoff models in design flood estimation. (iwaponline.com)
  • In general, therefore, the confidence in a hydrologic prediction can be improved by reducing the uncertainty associated with the parameter estimates. (escholarship.org)
  • The uncertainty associated with the parameter estimates is updated (reduced) recursively, resulting in smaller prediction uncertainties as measurement data are successively assimilated. (escholarship.org)
  • More realistic versions of this model and improved estimates of parameters from surveillance data will strengthen the estimation of the burden of influenza. (who.int)
  • I will show an application to modelling fluid particles in ocean turbulence, where trajectories are typically anisotropic due to spherical dynamics. (cam.ac.uk)
  • His focus includes linear parameter varying systems, optimal and robust control, model predicative control, distributed control and system identification. (degruyter.com)
  • The optimal value for parameter α is estimated using a brute force method. (nature.com)
  • This paper suggests adopting portfolio management methods from finance in policy planning models as a practical tool for explicitly reckoning the parameter uncertainty when defining optimal policy. (ifw-kiel.de)
  • We demonstrate the approach in an economywide model that aims to find an optimal pro-poor agricultural value chain in Senegal under the world market uncertainty. (ifw-kiel.de)
  • The need for more reliable estimation of flow in data scarcity conditions is, in fact, thoroughly related to the necessity of reducing uncertainty associated with parameter estimation. (iwaponline.com)
  • The lack of streamflow observations and the consequent high uncertainty associated with model outputs, pose serious limitations to modelling the hydrological response of ungauged catchments. (iwaponline.com)
  • Linear Parameter-Varying (LPV) systems can be used as a bridge to extend the well studied model based control methods of Linear Time-Invariant systems to certain nonlinear systems. (tudelft.nl)
  • We extend these estimation methods to spatiotemporal trajectories, such that we can estimate parameters that reveal the nature of the anisotropic structure. (cam.ac.uk)
  • Experiments validate that our proposed methods produce more accurate parameter estimation under the JS-divergence metric and obtain lower precision and recall when defending against MIAs. (ict.ac.cn)
  • For iterative methods, such as logistic regression model, software usually starts with a pre-determined initial guess of the slope parameters and iteratively refine the guess by using an optimization technique. (sas.com)
  • The objectives of this project were to (1) improve methods for the prediction of physical properties relevant for assessing environmental fate and transport, and (2) develop predictive models to assess the bioaccumulation of the chemical in relevant environmental receptors (plants and soil invertebrates). (serdp-estcp.org)
  • Quantum chemical methods have been developed to estimate the upper case Abraham solute parameters. (serdp-estcp.org)
  • In both cases the solute parameters have a smaller error than all other available estimation methods. (serdp-estcp.org)
  • In this paper the use of three-dimensional inverse groundwater models including simultaneous estimation of flow and transport parameters is proposed to help identify the dominant characteristics at the site. (usgs.gov)
  • The model takes the form of a semiparametric varying coefficient model along the lines of Hastie and Tibshirani (1992). (emerald.com)
  • An embeddings model for vector-based retrieval augmented generation enabling customers to embed their documents into vector embeddings, which can be retrieved during the Q&A process and not result in hallucinations, according to SambaNova. (insidehpc.com)
  • This report explains the derivation of the mathematical expressions required for computational parameter estimation in sufficient detail to facilitate future derivations for any revised versions of the NDMMF that may be developed. (usgs.gov)
  • In the second part, I will discuss computationally-efficient parameter estimation for massive datasets, where we propose an important modification to the Whittle likelihood to significantly reduce bias at no additional computational cost. (cam.ac.uk)
  • In July, utilizing the platform for building data-empowered society mdx *1 as a computational resource, we commenced the development of a large language model (LLM) with 13 billion parameters *2 . (nii.ac.jp)
  • As a first step, we have begun the construction of a more sophisticated LLM with 175 billion parameters (equivalent to GPT-3) using AIST's computational resource, the AI Bridging Cloud Infrastructure (ABCI) *4 . (nii.ac.jp)
  • A current aim in research on moral cognition is the development of computational models of moral choices and general cognitive mechanisms. (lu.se)
  • 2004) and these models have indeed been fruitful for Rangel, 2008), Krajbich and collaborators have proposed an generating new questions and directions, they are notably extension of diffusion models to incorporate visual fixations lacking in their computational specificity. (lu.se)
  • Conclusions: The computational model provides a mechanistic understanding of how different lineages arise from the dynamics of the underlying regulatory network. (lu.se)
  • Citation: Chickarmane V, Peterson C (2008) A Computational Model for Understanding Stem Cell, Trophectoderm and Endoderm Lineage Determination. (lu.se)
  • A computational model of master regulators that are required for successful reprogramming the dynamics of this core network has revealed that it functions as of a differentiated cell into a cell exhibiting stem cell like a bistable switch, which in the on state, corresponds to all these properties. (lu.se)
  • We implemented a numerical model of San Pablo Bay, an embayment within San Francisco Bay, California, for November-December 2014, and compared model outputs to observations of water level, velocity, wave parameters, salinity, and suspended sediment concentration (SSC) in the shallow regions. (usgs.gov)
  • Let us now compare the differences between the duty cycle calculated by both the two-parameter and four-parameter thermal models. (machinedesign.com)
  • Methodical Considerations for Setting Up Space-Resolved Lumped-Parameter Thermal Models for Elec. (rwth-aachen.de)
  • Although we found subject-specific models not markedly sensitive to parameter identification, researchers should be aware of the model precision in relation to the intended application. (simtk.org)
  • Furthermore, it also showed that algorithm is more sensitive to parameter changes and improves the estimation results for each estimated parameter instead of using fixed forgetting factor. (academicjournals.org)
  • In the first part of this talk I will present a framework for stochastically modelling such trajectories in time over two-dimensional space. (cam.ac.uk)
  • It is promising to propose an effective framework to obtain accurate parameter estimations with guaranteed differential privacy. (ict.ac.cn)
  • This paper presents the framework for a Bayesian recursive estimation approach to hydrologic prediction that can be used for simultaneous parameter estimation and prediction in an operational setting. (escholarship.org)
  • Country-level data was sourced from multiple publicly available sources using the social-ecological framework, logic model, and IHR capacity monitoring framework. (who.int)
  • Quantification of infiltration rate of the soil is a complex problem because of its variability, selection of suitable infiltration model, and determination of infiltration model parameters which depend on various soil characteristics and land use/land cover. (inderscience.com)
  • The variability of parameter values for individual specimen are shown and briefly discussed. (iahr.org)
  • The SABER circuit simulation tool is used to verify the behavior of our network model and compare its results with previously acquired temperature measurements from the experimental testbed. (nist.gov)
  • Young's modulus and Poisson's ratio are parameters required to model isotropic and homogenous material behavior. (syr.edu)
  • The machine parameters of both wind turbines were changed considering different scenarios, while keeping other parameters constant, to study the behavior of the wind generators. (frontiersin.org)
  • This study extends the application of a Bayesian procedure that, given a generic rainfall-runoff model, allows for the assessment of posterior parameter distribution, using a regional estimate of 'hydrological signatures' available in ungauged basins. (iwaponline.com)
  • We observed hybridization of the MBS with the end-dot bound state, which is in agreement with a numerical model. (lu.se)
  • A lumped parameter cardiovascular model is a zero-dimensional mathematical model used to describe the hemodynamics of the cardiovascular system. (wikipedia.org)
  • A multicompartment mathematical model to study the dynamic behaviour of COVID-19 using vaccination as control parameter. (bvsalud.org)
  • model to configure an initial parameterization for estimation of a transfer function to fit measured response data. (mathworks.com)
  • His current research interests include systems and control theory with a particular focus on nonlinear model predictive control and sampled-data systems. (degruyter.com)
  • Hidden Markov models (HMMs) are widely used models for sequential data. (usp.br)
  • As with other probabilistic models, they require the specification of local conditional probability distributions, which can be too difficult and error-prone, especially when data are scarce or costly to acquire. (usp.br)
  • The traditional approaches for processing bioimpedance data can be broadly sorted into two categories: discrete processing and equivalent circuit modeling. (nature.com)
  • The second approach uses equivalent electrical circuits, composed of electrical elements (such as resistors, capacitors and inductors), to represent multi-frequency bioimpedance data and then investigates the relationship of the model/component values to underlying physical and electrochemical changes in the tissue. (nature.com)
  • Fit zero mean time series model to data. (wolfram.com)
  • Data (MR images, gait data and sampled input variables), software developed (NMSBuilder and the Probabilistic Musculoskeletal Modeling module) and post-processed results related to the study are provided. (simtk.org)
  • Customers are requesting an LLM with the power of a trillion-parameter model like GPT-4, but they also want the benefits of owning a model fine-tuned on their data. (insidehpc.com)
  • Plus, by using SambaNova's RDU (Reconfigurable Data Unit) architecture, the chips are designed to efficiently run sparse models using smarter compute. (insidehpc.com)
  • An automated speech recognition model to transcribe and analyze voice data. (insidehpc.com)
  • The lower case Abraham system parameters are estimated by fitting the above equation to data sets of experimentally determined partition coefficients for many solutes. (serdp-estcp.org)
  • Flume experiments to measure the drag force to velocity relationship using foliated and defoliated blackberry twigs collected from nature are described, and the collected data are used to derive the species-specific parameters. (iahr.org)
  • Even accurate and precisely specified models with excellent underlying data quality can be inhibited by parameter uncertainty that reflects uncertain factors. (ifw-kiel.de)
  • However, the classical approach to doing this via model calibration typically requires that considerable amounts of data be collected and assimilated before the model can be used. (escholarship.org)
  • The effectiveness and efficiency of the method are illustrated in the context of two models: a simple unit hydrograph model and the more complex Sacramento soil moisture accounting model, using data from the Leaf River basin in Mississippi. (escholarship.org)
  • Models developed using the data provided in the planning scenario tables can help evaluate the potential effects of different community mitigation strategies (e.g., social distancing). (cdc.gov)
  • All parameter values are based on current COVID-19 surveillance data and scientific knowledge. (cdc.gov)
  • The parameter values used in these scenarios are likely to change as we obtain additional data about the upper and lower bounds of disease severity and the transmissibility of SARS-CoV-2, the virus that causes COVID-19. (cdc.gov)
  • Scenario 5 represents a current best estimate about viral transmission and disease severity in the United States, with the same caveat: the parameter values will change as more data become available. (cdc.gov)
  • We find that a fixation dependent model provides a determining moral choice by modelling it as a fixation better fit and can capture many features of the empirical data. (lu.se)
  • Methodology/Principal Findings: We construct a dynamical model of a minimalistic network, extracted from ChIP-on-chip and microarray data as well as literature studies. (lu.se)
  • The model dynamics both suggests the microarray data can quantify functionality of the genetic network. (lu.se)
  • Finally, ITLBO is employed to estimate parameters of two solar cell models. (techscience.com)
  • SimTK: Are subject-specific musculoskeletal models robust to parameter identification? (simtk.org)
  • Analyze how robust are image-based musculoskeletal models to the uncertainties in parameter identification, and provide software for subject-specific model creation (NMSBuilder) and probabilistic simulations of movement. (simtk.org)
  • Note: Since Python does not support input parameters on properties, this property will fail in Python. (autodesk.com)
  • Alternative tests and sensing systems utilized in this investigation provided input parameters that represent field performance of full-sized EPS blocks in geotechnical applications. (syr.edu)
  • While broad theoretical models have been enough has been integrated to pass a decision-threshold. (lu.se)
  • The course covers theoretical models for the structure and reactions of atomic nuclear, as well as experiments in nuclear physics and their scientific applications. (lu.se)
  • Here we calculate the dependence of R 0 on model parameters. (cdc.gov)
  • As we'll explore further in this third and final Course Audit installment, using four-parameter models to calculate dynamic winding temperatures allows designers to extract the most performance from a given servomotor, while preventing windings from overheating. (machinedesign.com)
  • For example, you can fix the values of some parameters, or specify minimum or maximum values for the free parameters. (mathworks.com)
  • to estimate parameter values with those constraints. (mathworks.com)
  • The model parameters R ∞ , R 1 and C are estimated using the derived set of equations based on measured values of real ( R ) and imaginary part ( X ) of bioimpedance, as well as the numerical approximation of the first derivative of quotient R / X with respect to angular frequency. (nature.com)
  • This example illustrates how to detect all parameters that support instance values and determine which parameters are currently in use based on the usage of the material. (autodesk.com)
  • Parameters with instances values include: ImageShader.tspace_id, Material.ImageClipName, Material.UV, Material.CAV. (autodesk.com)
  • We then performed a Monte-Carlo probabilistic analysis perturbing model parameters according to their uncertainty, and solving a typical inverse dynamics and static optimization problem using 500 models that included the different sets of perturbed variable values. (simtk.org)
  • Numerical models of sediment transport in estuarine systems rely on parameter values that are often poorly constrained and can vary on timescales relevant to model processes. (usgs.gov)
  • The selection of parameter values can affect the accuracy of model predictions, while environmental variation of these parameters can impact the temporal and spatial ranges of sediment fluxes, erosion, and deposition in the real world. (usgs.gov)
  • The technique is to first fit a simpler fixed-effects model by replacing the random effects with their expected values. (sas.com)
  • But if you deviate from those values, you might encounter problems where the model does not converge. (sas.com)
  • Use of these values in models led to unreasonable long term deformation predictions that contradicted with field observations. (syr.edu)
  • FLAC, SIGMA/W, and KENLAYER models with higher EPS Young's modulus and Poisson's ratio values resulted in better agreement with field observations and realistic service life predictions. (syr.edu)
  • These values--called parameter values -- can be used in models to estimate the possible effects of COVID-19 in U.S. states and localities. (cdc.gov)
  • This document was first posted on May 20, 2020, with the understanding that the parameter values in each scenario would be updated and augmented over time, as we learn more about the epidemiology of COVID-19. (cdc.gov)
  • Scenarios 1 through 4 are based on parameter values that represent the lower and upper bounds of disease severity and viral transmissibility (moderate to very high severity and transmissibility). (cdc.gov)
  • Running the model for the different values of R0, we quantified the number of symptomatic clinical cases, the clinical attack rates, the symptomatic clinical attack rates and the number of deaths. (who.int)
  • An analytical tire model of freely-rolling properties is established by using experimental modal parameters. (sae.org)
  • The feasibility and advantages of tire modeling by using experimental modal parameters are reflected. (sae.org)
  • The experimental work began with an organized procedure in developing a linear discrete-time model by emphasizing the offline identification process. (academicjournals.org)
  • This paper presents results from an experimental study designed to determine species-specific resistance parameters of blackberry plants (Rubus armeniacus Focke) for the use in the flow resistance approaches accounting for plant flexibility of Järvelä (2004) and Västilä & Järvelä (2014). (iahr.org)
  • Models using EPS geofoam rely on input elastic parameters derived from compression tests on small size samples. (syr.edu)
  • These tools rely on accurate, representative inputs in the form of body segment parameters (BSPs). (cdc.gov)
  • The estimated parameters of the model may be small - smaller than the expected estimator variance. (wolfram.com)
  • The full mixed model has one random effect that involves two variance parameters, s1 and s2. (sas.com)
  • A methodology was developed using quantum chemical computations to estimate Abraham solute parameters for two types of applications: for use with presently existing Abraham models, or for use in building new Abraham models. (serdp-estcp.org)
  • model represents a system as a continuous-time or discrete-time transfer function with identifiable (estimable) coefficients. (mathworks.com)
  • The time delay τ (or k in discrete time) can also be an estimable parameter. (mathworks.com)
  • For examples, see Create Continuous-Time Transfer Function Model and Create Discrete-Time Transfer Function . (mathworks.com)
  • Although this model represents an early stage in LLM research and development and its performance metrics are comparable to previously released domestic models, all of its components, including its corpora *3 , are made openly available to benefit future academic and industrial R&D efforts. (nii.ac.jp)
  • The key issue of obtaining accurate parameter estimations when introducing differential privacy in CGS is making good use of the privacy budget such that a precise noise scale is derived. (ict.ac.cn)
  • The uncertainties in input variables had a moderate effect on model predictions, as muscle and joint contact forces showed maximum standard deviation of 0.3 times body-weight and maximum range of 2.1 times body-weight. (simtk.org)
  • Parameter estimation for rainfall-runoff models in ungauged basins is a key aspect for a wide range of applications where streamflow predictions from a hydrological model can be used. (iwaponline.com)
  • The case study is a set of eight catchments located in a poorly gauged region in southern Italy, on which alternative schemes for conditioning posterior parameter distributions and constraining hydrological predictions were tested, with specific reference to the use of a rainfall-runoff model for design flood estimation. (iwaponline.com)
  • The ice sheets are modeled by the full Stokes equations and shallow shelf/shelfy stream approximations. (arxiv.org)
  • Simulations show that using a hydraulic conductivity distribution obtained from 2187 borehole flowmeter tests directly in the model produces poor matches to the measured hydraulic heads and tritium concentrations. (usgs.gov)
  • In general, an electro-hydraulic servo (EHS) system inherently suffers from parameter uncertainties and variation which makes the modeling and controller design complicated. (academicjournals.org)
  • Riparian vegetation essentially influences the flow resistance and therefore reliable plant parameters are necessary for hydraulic modeling. (iahr.org)
  • The model specifies the dependence of KP on the chemical properties of the solute and the system phases. (serdp-estcp.org)
  • The suggested model is numerically simulated using MATLAB 14.0, and the results confirm the capacity of the proposed model to provide an accurate forecast of the progress of the epidemic in India . (bvsalud.org)
  • Her research interests include identification, estimation, model predictive control and robotics. (degruyter.com)
  • The model incorporates differences in the population's susceptibility ( 3 ) by dividing the population into classes S 1 (high risk) and S 2 (low risk). (cdc.gov)
  • This model incorporates an upper asymptotic parameter (parameter d) admitting the possibility that children with high capacity have a probability less than 1 to draw a certain HFD detail (item). (bvsalud.org)
  • Model creation and gait simulations were performed by using freely available software that we developed to standardize the process of model creation, integrate with OpenSim and create probabilistic simulations of movement. (simtk.org)
  • Panel members were provided with background information regarding ATSDR's current epidemiologic study, including activities conducted thus far, findings to date, and the role of modeling and historical reconstruction in the study. (cdc.gov)
  • The past decade has seen an explosion of research into models assume that evidence for a response is accumulated moral cognition marked by cross-disciplinary endeavours stochastically as a function of evidentiary strength until and findings. (lu.se)
  • suggested to account for many of the findings in the Building on observations that visual fixations play a role in literature (most notably dual-process models, e.g. (lu.se)
  • Q. Fan, Y. Zhang and Z. Wang, "Improved teaching learning based optimization and its application in parameter estimation of solar cell models," Intelligent Automation & Soft Computing , vol. 26, no.1, pp. 1-12, 2020. (techscience.com)
  • The models were designed to predict the equilibrium steady state concentration of munitions compounds in terrestrial plants and soil invertebrates exposed via the soil. (serdp-estcp.org)
  • The models assume that the phases in the soil were in equilibrium with the phases in the organism which contain the accumulated munitions compound. (serdp-estcp.org)
  • The arrows represent partitioning equilibrium between the phases and the partition coefficients associated with each arrow are the parameters that are required to estimate the contaminant concentration in the organism that results from exposure to the contaminated soil. (serdp-estcp.org)
  • The available databases for the bioconcentration factor (BCF = concentration of chemical in organism/concentration of chemical in water) in fish, plants, and soil invertebrates have been used to build the models. (serdp-estcp.org)
  • Bioaccumulation models for plants (grasses) and soil invertebrates (oligochaetes) that were exposed from compounds in soils have been developed as well as a bioconcentration model for fish exposed from compounds in water. (serdp-estcp.org)
  • The three models require partition coefficients for which models have also been developed: partitioning between water and organism lipid, organism protein, and plant cuticle, and a previously developed model for water-soil organic carbon. (serdp-estcp.org)
  • The model takes into account turbulent diffusion, wind transport, soil deposition, plume rise and transient effects, also the presence of irregular spatial domains. (witpress.com)
  • Control and Navigation logic was developed for a 3-Degree of Freedom Surf-Zone Robot to assist in the identification and characterization of platform parameters for use in the Shuey (NPS) Dynamic Model. (nps.edu)
  • In contrast, using two-parameter models for dynamic temperature calculations increases the likelihood of improper motor selection ¡ª and leaves engineers in the dark about the true causes of failure when it occurs. (machinedesign.com)
  • Latent Dirichlet allocation (LDA) is a topic model widely used for discovering hidden semantics in massive text corpora. (ict.ac.cn)
  • Collapsed Gibbs sampling (CGS), as a widely-used algorithm for learning the parameters of LDA, has the risk of privacy leakage. (ict.ac.cn)
  • This study investigates the transient performance of two variable speed wind turbines (VSWTs), namely doubly fed induction generator (DFIG) and the permanent magnet synchronous generator (PMSG), that are widely employed in wind energy conversion, considering their machine parameters. (frontiersin.org)
  • Shafii & Tolson 2015 ), and is deemed to be suitable in ungauged basins application to constrain the model response and to reduce the uncertainty in parameter estimation. (iwaponline.com)
  • Given a set of parameters that have a physical meaning (e.g. resistances to blood flow), it allows to study the changes in blood pressures or flow rates throughout the cardiovascular system. (wikipedia.org)
  • Modifying the parameters, it is possible to study the effects of a specific disease. (wikipedia.org)
  • The lumped parameter model is used to study the hemodynamics of a three-dimensional space (the cardiovascular system) by means of a zero-dimensional space that exploits the analogy between pipes and electrical circuits. (wikipedia.org)
  • The splitting of the pulmonary and systemic circulation is not fixed, for example, if the interest of the study is in systemic capillaries, the compartment accounting for the systemic capillaries can be added to the lumped parameter model. (wikipedia.org)
  • Subject-specific musculoskeletal modeling can be applied to study musculoskeletal disorders, allowing inclusion of personalized anatomy and properties. (simtk.org)
  • This study compares three parameter-estimation techniques viz. (inderscience.com)
  • Efforts were made to carry out an extensive comparative study to investigate the machine parameters that have more influence on the stability of the different wind turbines considered in this study. (frontiersin.org)
  • This study determines the impacts of age, body mass index and the estimated seated height to stature ratio (SHS) on these full and split torso parameters in a sample of working American adults. (cdc.gov)
  • Specifically, word count statistics and updates of latent topics in CGS, which are essential for parameter estimation, could be employed by adversaries to conduct effective membership inference attacks (MIAs). (ict.ac.cn)
  • The latent trait correlations estimated by these three models were very high (r = 0.98), suggesting that children's abilities did not change substantially when using the 4-parameter model. (bvsalud.org)
  • These features cannot be achieved by current engineering models that derive from the Gaussian plume equation, without some semi-empirical relationship to evaluate diffusion coefficients and plume rise height. (witpress.com)
  • Both approaches are briefly described and presently available species-specific parameters for various species are summarized. (iahr.org)
  • Find the maximum likelihood estimate of the MA(1) model. (wolfram.com)
  • The derived model can describe the change process of vertical load and friction force distributions from static state to rolling state. (sae.org)
  • ENTITY % glossary-model "(label? (nih.gov)
  • Returns a Boolean value indicating whether the parameter is an instance value (true) or not (false). (autodesk.com)
  • CDC and t he Office of the Assistant Secretary for Preparedness and Response (ASPR) have developed five COVID-19 Pandemic Planning Scenarios that are designed to help inform decisions by public health officials who use mathematical modeling, and by mathematical modelers throughout the federal government. (cdc.gov)
  • The five COVID-19 Pandemic Planning Scenarios (Box 1) represent a range of possible parameters for COVID-19 in the United States. (cdc.gov)
  • conventional graphical method, generalised reduced gradient (GRG) optimisation and Levenberg-Marquardt algorithm (LMA) for estimation of infiltration model parameters of Horton, Kostiakov, modified Kostiakov and Philip, and select the best fit method. (inderscience.com)
  • Recent alternative options propose the integration of all the available knowledge conveying hydrologically meaningful information in the calibration procedure, searching the parameter sets, or their distribution, that better reproduce this type of information (e.g. (iwaponline.com)
  • Using the adjoint solutions, the effect of a perturbation in a parameter is obtained showing the importance of including the time dependence, in particular when the height is observed. (arxiv.org)
  • ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. (nasa.gov)
  • In spite of the complexity of the processes described, the implementation of the model requires little programming effort and the simulations are not affected by instability. (witpress.com)
  • In a similar vein models to influence the content of a moral judgment by monitoring capturing the dynamics of the controlled and automatic participants' eye-movements as they deliberate between processes competing and mutually influencing one another alternatives and prompting their choice at a point in time in the generation of a moral judgement have recently been determined by their gaze behaviour. (lu.se)
  • Compute the 95% confidence interval of the moving-average parameter. (wolfram.com)