scholarly journals Study on Design and Evaluation of Multiple Main Supply Model Evaluation System of Agricultural Information Service

2016 ◽  
Author(s):  
Qiong Wu
Keyword(s):  
Model Evaluation ◽  
Evaluation System ◽  
Information Service ◽  
Supply Model

The Integrated Model Evaluation System (IMES): A Database for Evaluation of Exposure Assessment Models

1991 ◽  
Vol 24 (6) ◽  
pp. 315-322 ◽  
Author(s):  
S. P. Schreiner ◽  
M. Gaughan ◽  
H. L. Schultz ◽  
R. Walentowicz
Keyword(s):  
Surface Water ◽  
Exposure Assessment ◽  
Model Evaluation ◽  
Evaluation System ◽  
Chemical Exposure ◽  
Integrated Model ◽  
Assessment Model ◽  
Other Information ◽  
Access Information ◽  
Query Systems

The USEPA Office of Health and Environmental Assessment develops methodologies for conducting exposure and risk assessments. Protocols appropriate for specific analyses have been developed to aid in the selection of an exposure assessment model and to assess the validation and uncertainties associated with models used for toxic chemical exposure assessments in surface water, groundwater, and air. A software package has been developed to provide users with a quick and intuitive tool to access information for selected models and applications based on these protocols. The Integrated Model Evaluation System (IMES) is composed of three modules: 1) Selection, query systems for selecting a model based on technical criteria (currently for surface water, non-point source, and groundwater models); 2) Validation, a database containing validation and other information on over 50 models in various media; and 3) Uncertainty, a database demonstrating uncertainty simulations for several surface water models applied to exposure assessments of several chemicals. The selection modules are linked to the uncertainty and validation modules to access information for chosen models. The PC-based software system employs pull-down menus, help screens, and graphics to display its information.

Goal setting in Missouri's model evaluation system

2019 ◽  
Author(s):  
◽  
Kimberly Burger
Keyword(s):  
Public Schools ◽  
No Child Left Behind ◽  
Goal Setting ◽  
Model Evaluation ◽  
Professional Growth ◽  
Evaluation System ◽  
Goal Commitment ◽  
Elementary And Secondary Education ◽  
Effective Evaluation ◽  
Seven Principles

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Goal setting in Missouri's Model Evaluation is the central focus of this research. Years of legislation increased the federal presence in public education and made accountability a household term for educators. The direct piece of policy that connects this research to is Missouri's ESEA Flexibility Waiver. The waiver established goals that would bypass the rigorous mandates of No Child Left Behind but would still ensure high-quality programs within Missouri schools. Effective leadership and instruction were a core goal of the waiver and established the seven principles of effective evaluation for Missouri public schools. The seven principles of effective evaluation were to serve as the guiding principles for educator evaluation in Missouri by the 2014-15 academic year. Missouri's Department of Elementary and Secondary Education created the Missouri Model Evaluation System, offering districts a premade evaluation system. The model system utilizes goal setting within growth guides to provide evaluation participants a focus for both evaluation and professional growth. The four moderators of Locke and Latham's Goal Setting Theory serve as the conceptual framing of this research. These moderators, or variables, are goal specificity, goal commitment, goal difficulty, and goal feedback. The likelihood of goal achievement increases when the moderators are considered during implementation.

scholarly journals Regional Climate Model Evaluation System powered by Apache Open Climate Workbench v1.3.0: an enabling tool for facilitating regional climate studies

2018 ◽  
Author(s):  
Huikyo Lee ◽  
Alexander Goodman ◽  
Lewis McGibbney ◽  
Duane Waliser ◽  
Jinwon Kim ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Model Evaluation ◽  
Evaluation System ◽  
Climate Models ◽  
Performance Metrics ◽  
Climate Model ◽  
Regional Climate ◽  
The United States ◽  
Climate Data ◽  
Climate Model Evaluation

Abstract. The Regional Climate Model Evaluation System (RCMES) is an enabling tool of the National Aeronautics and Space Administration to support the United States National Climate Assessment. As a comprehensive system for evaluating climate models on regional and continental scales using observational datasets from a variety of sources, RCMES is designed to yield information on the performance of climate models and guide their improvement. Here we present a user-oriented document describing the latest version of RCMES, its development process and future plans for improvements. The main objective of RCMES is to facilitate the climate model evaluation process at regional scales. RCMES provides a framework for performing systematic evaluations of climate simulations, such as those from the Coordinated Regional Climate Downscaling Experiment (CORDEX), using in-situ observations as well as satellite and reanalysis data products. The main components of RCMES are: 1) a database of observations widely used for climate model evaluation, 2) various data loaders to import climate models and observations in different formats, 3) a versatile processor to subset and regrid the loaded datasets, 4) performance metrics designed to assess and quantify model skill, 5) plotting routines to visualize the performance metrics, 6) a toolkit for statistically downscaling climate model simulations, and 7) two installation packages to maximize convenience of users without Python skills. RCMES website is maintained up to date with brief explanation of these components. Although there are other open-source software (OSS) toolkits that facilitate analysis and evaluation of climate models, there is a need for climate scientists to participate in the development and customization of OSS to study regional climate change. To establish infrastructure and to ensure software sustainability, development of RCMES is an open, publicly accessible process enabled by leveraging the Apache Software Foundation's OSS library, Apache Open Climate Workbench (OCW). The OCW software that powers RCMES includes a Python OSS library for common climate model evaluation tasks as well as a set of user-friendly interfaces for quickly configuring a model evaluation task. OCW also allows users to build their own climate data analysis tools, such as the statistical downscaling toolkit provided as a part of RCMES.

scholarly journals Empleo del modelo SRNS para predecir la ganancia de peso en ovinos machos Pelibuey en crecimiento

2008 ◽  
Vol 58 (224) ◽  
pp. 671-681
Author(s):  
F. Duarte-Vera ◽  
C. Sandoval-Castro ◽  
L. Sarmiento-Franco
Keyword(s):  
Model Evaluation ◽  
Evaluation System ◽  
Small Ruminant ◽  
Ruminant Nutrition ◽  
De Medicina

El objetivo del trabajo fue evaluar los ajustes en el índice de madurez, el valor para metabolismo basal y el peso vivo vacío, sobre la capacidad del modelo Small Ruminant Nutrition System (SRNS) para predecir la ganancia diaria de peso vivo (GDP) en ovinos Pelibuey durante la etapa de crecimiento. El trabajo se realizó en la Facultad de Medicina Veterinaria y Zootecnia de la Universidad Autónoma de Yucatán, México. Se utilizó una base de datos constituida por 26 experimentos y 77 dietas, con un total de 1112 ovinos Pelibuey machos. Para el índice de madurez (P), el peso maduro se estimó mediante una curva de crecimiento, siendo éste de 66 kg. Para la evaluación del modelo, se utilizó el programa Model Evaluation System con los siguientes indicadores: El análisis de la regresión lineal; el error estándar de la estimación (MSE); el coeficiente de concordancia de la correlación (CCC); la media mínimo cuadrática del error de la predicción, (MSEP); la eficiencia del modelo (MEF), y el coeficiente de determinación del modelo (CD). El modelo sin ajustar, subestima la predicción de la ganancia de peso vivo. El índice de madurez ajustado con el peso maduro de machos Pelibuey y el valor para el metabolismo basal de 0,039 Mcal de EM/kg0,75 mejoraron la precisión y exactitud del modelo sobre la predicción de la GDP en machos Pelibuey. Se concluye que el valor del metabolismo basal es menor en ovinos Pelibuey que en razas lanares y que el valor ajustado del metabolismo basal en la ecuación para estimar las necesidades de mantenimiento en el SRNS mejora la predicción de la GDP en machos Pelibuey en crecimiento y que el ajuste por el contenido gastrointestinal no presenta ventajas para utilizarse en el modelo.

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