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Dairy Policy Issues

Dairy Policy Issues

Date: June 16, 2006
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairy Policy Issues

Dairy Policy Issues

Date: January 30, 2004
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairy Policy Issues

Dairy Policy Issues

Date: June 4, 2004
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairy Policy Issues

Dairy Policy Issues

Date: January 26, 2007
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairy Policy Issues

Dairy Policy Issues

Date: February 9, 2007
Creator: Chite, Ralph M.
Description: Two federal programs that support the price and income received by dairy farmers are expiring in 2007 — the dairy price support program and the Milk Income Loss Contract (MILC) program. This report discusses the reauthorization of these and other farm commodity price and income support programs, which is being debated by the 110th Congress in the context of a pending omnibus 2007 farm bill.
Contributing Partner: UNT Libraries Government Documents Department
Dairy Policy Proposals in the 2012 Farm Bill

Dairy Policy Proposals in the 2012 Farm Bill

Date: September 18, 2012
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairy Policy Proposals in the Next Farm Bill

Dairy Policy Proposals in the Next Farm Bill

Date: October 22, 2013
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairy Policy Proposals in the Next Farm Bill

Dairy Policy Proposals in the Next Farm Bill

Date: January 8, 2013
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairy Pricing Issues

Dairy Pricing Issues

Date: November 6, 2009
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairy Products: Imports, Domestic Production, and Regulation of Ultra-filtered Milk

Dairy Products: Imports, Domestic Production, and Regulation of Ultra-filtered Milk

Date: March 5, 2001
Creator: United States. General Accounting Office.
Description: A letter report issued by the General Accounting Office with an abstract that begins "The ultra-filtration process for milk, developed in the 1970s, removes most of the fluid components, leaving a high concentration of milk protein that allows cheese and other manufacturers to produce their products more efficiently. No specific data on amount of ultra-filtered milk imports exists because these imports fall under the broader U.S. Customs Service classification of milk protein concentrate. Exporters of milk protein concentrates face minimal U.S. import restrictions, and the Food and Drug Administration (FDA) believes the milk protein concentrates pose minimal safety risks. Similarly, there is little data on the amount and use of domestically produced ultra-filtered milk in U.S. cheese making plants. According to the Department of Agriculture and state sources, a total of 22 dairy plants nationwide and five large dairy farms in New Mexico and Texas produce ultra-filtered milk. The plants primarily produce and use ultra-filtered milk in the process of making cheese. The five farms transport their product primarily to cheese-making plants in the Midwest, where most is used to make standardized cheeses. FDA relies on its own inspections, and those it contracts with 37 states, to enforce its standards ...
Contributing Partner: UNT Libraries Government Documents Department
Dairy Provisions in the 2014 Farm Bill (P.L. 113-79)

Dairy Provisions in the 2014 Farm Bill (P.L. 113-79)

Date: September 15, 2014
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairy Provisions of the Enacted 1996 Farm Bill

Dairy Provisions of the Enacted 1996 Farm Bill

Date: May 17, 1996
Creator: unknown
Description: None
Contributing Partner: UNT Libraries Government Documents Department
Dairying in the South.

Dairying in the South.

Date: 1905
Creator: United States. Department of Agriculture.
Description: A guide to dairy farming for new farmers in the South, for the purpose of improving the quality of their products.
Contributing Partner: UNT Libraries Government Documents Department
DAiSES: Dynamic Adaptivity in Support of Extreme Scale Department of Energy Project No. ER25622 Prime Contract No. DE-FG02-04ER25622 Final Report for September 15, 2004-September 14, 2008

DAiSES: Dynamic Adaptivity in Support of Extreme Scale Department of Energy Project No. ER25622 Prime Contract No. DE-FG02-04ER25622 Final Report for September 15, 2004-September 14, 2008

Date: May 5, 2009
Creator: PI: Patricia J. Teller, Ph.D. University of Texas-El Paso Department of Computer Science
Description: The DAiSES project [Te04] was focused on enabling conventional operating systems, in particular, those running on extreme scale systems, to dynamically customize system resource management in order to offer applications the best possible environment in which to execute. Such dynamic adaptation allows operating systems to modify the execution environment in response to changes in workload behavior and system state. The main challenges of this project included determination of what operating system (OS) algorithms, policies, and parameters should be adapted, when to adapt them, and how to adapt them. We addressed these challenges by using a combination of static analysis and runtime monitoring and adaptation to identify a priori profitable targets of adaptation and effective heuristics that can be used to dynamically trigger adaptation. Dynamic monitoring and adaptation of the OS was provided by either kernel modifications or the use of KernInst and Kperfmon [Wm04]. Since Linux, an open source OS, was our target OS, patches submitted by kernel developers and researchers often facilitated kernel modifications. KernInst operates on unmodified commodity operating systems, i.e., Solaris and Linux; it is fine-grained, thus, there were few constraints on how the underlying OS can be modified. Dynamically adaptive functionality of operating systems, both in ...
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Daisy Fluorite Mine: Rosiclare Lead and Fluorspar Mining Company, Hardin County, Illinois

Daisy Fluorite Mine: Rosiclare Lead and Fluorspar Mining Company, Hardin County, Illinois

Date: June 1947
Creator: Muir, Neal M.
Description: Report from the U.S. Bureau of Mines over the studies conducted on the Daisy mine and the Hillside mine in Hardin County, Illinois. Properties of the mines, and the types of mineral deposits found in each are presented. This report includes maps, and illustrations.
Contributing Partner: UNT Libraries Government Documents Department
The Daiwa Bank Problems: Background and Policy Issues

The Daiwa Bank Problems: Background and Policy Issues

Date: November 30, 1995
Creator: Nanto, Dick K; Jackson, William D & Wells, F. Jean
Description: On November 2, 1995, U.S. banking authorities ordered the Daiwa Bank to close its banking operations in the United States, and a 24-count criminal indictment was issued against it. These actions stem from the bank's admission that Toshihide Iguchi, a rogue trader at its New York branch office, had incurred $1.1 billion in losses over eleven years from trading U.S. Treasury securities and that Daiwa managers had "directed that those losses be concealed" from U.S. regulators.
Contributing Partner: UNT Libraries Government Documents Department
DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.

DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.

Date: December 1, 2011
Creator: Eldred, Michael Scott; Vigil, Dena M.; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton et al.
Description: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a theoretical manual for selected algorithms implemented within the DAKOTA software. It is not intended as a comprehensive theoretical treatment, since a number of existing texts cover general optimization theory, statistical analysis, and other introductory topics. Rather, this manual is intended to summarize a set of DAKOTA-related research publications in the areas of surrogate-based optimization, uncertainty quantification, and optimization under uncertainty that provide the foundation for many of DAKOTA's iterative analysis ...
Contributing Partner: UNT Libraries Government Documents Department
DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0

DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0

Date: April 1, 2002
Creator: ELDRED, MICHAEL S.; GIUNTA, ANTHONY A.; VAN BLOEMEN WAANDERS, BART G.; WOJTKIEWICZ JR., STEVEN F.; HART, WILLIAM E. & ALLEVA, MARIO
Description: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, analytic reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the DAKOTA software and provides capability overviews and procedures for software execution, as well as a variety of example studies.
Contributing Partner: UNT Libraries Government Documents Department
DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Developers Manual (title change from electronic posting)

DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Developers Manual (title change from electronic posting)

Date: April 1, 2002
Creator: ELDRED, MICHAEL S.; GIUNTA, ANTHONY A.; VAN BLOEMEN WAANDERS, BART G.; WOJTKIEWICZ JR., STEVEN F.; HART, WILLIAM E. & ALLEVA, MARIO
Description: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, analytic reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.
Contributing Partner: UNT Libraries Government Documents Department
DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual

DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual

Date: April 2001
Creator: ELDRED, MICHAEL S.; GIUNTA, ANTHONY A.; VAN BLOEMEN WAANDERS, BART G.; WOJTKIEWICZ JR., STEVEN F.; HART, WILLIAM E. & ALLEVA, MARIO
Description: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, analytic reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a reference manual for the commands specification for the DAKOTA software, providing input overviews, option descriptions, and example specifications.
Contributing Partner: UNT Libraries Government Documents Department
Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 developers manual.

Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 developers manual.

Date: October 1, 2006
Creator: Griffin, Joshua D. (Sandia National lababoratory, Livermore, CA); Eldred, Michael Scott; Martinez-Canales, Monica L. (Sandia National lababoratory, Livermore, CA); Watson, Jean-Paul; Kolda, Tamara Gibson (Sandia National lababoratory, Livermore, CA); Giunta, Anthony Andrew et al.
Description: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.
Contributing Partner: UNT Libraries Government Documents Department
DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 reference manual

DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 reference manual

Date: October 1, 2006
Creator: Griffin, Joshua D. (Sandai National Labs, Livermore, CA); Eldred, Michael Scott; Martinez-Canales, Monica L. (Sandai National Labs, Livermore, CA); Watson, Jean-Paul; Kolda, Tamara Gibson (Sandai National Labs, Livermore, CA); Adams, Brian M. et al.
Description: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a reference manual for the commands specification for the DAKOTA software, providing input overviews, option descriptions, and example specifications.
Contributing Partner: UNT Libraries Government Documents Department
DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers's manual.

DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers's manual.

Date: October 1, 2006
Creator: Griffin, Joshua D. (Sandai National Labs, Livermore, CA); Eldred, Michael Scott; Martinez-Canales, Monica L. (Sandai National Labs, Livermore, CA); Watson, Jean-Paul; Kolda, Tamara Gibson (Sandai National Labs, Livermore, CA); Giunta, Anthony Andrew et al.
Description: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the DAKOTA software and provides capability overviews and procedures for software execution, as well as a variety of example studies.
Contributing Partner: UNT Libraries Government Documents Department
DAKOTA JAGUAR 2.1 user's Manual.

DAKOTA JAGUAR 2.1 user's Manual.

Date: June 1, 2011
Creator: Adams, Brian M.; Lefantzi, Sophia; Chan, Ethan & Ruthruff, Joseph R.
Description: JAGUAR (JAva GUi for Applied Research) is a Java software tool providing an advanced text editor and graphical user interface (GUI) to manipulate DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) input specifications. This document focuses on the features necessary for a user to use JAGUAR.
Contributing Partner: UNT Libraries Government Documents Department