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Appendix D. Fuel Rod Analysis

Description: Appendix providing analysis for fuel rod behavior for Reactivity Initiated Accident (RIA) Series 1-4 fuel behavior test conducted at the Idaho National Engineering Laboratory in Idaho Falls, Idaho.
Date: September 1984
Creator: Cook, Beverly A. & Martinson, Zoel R.
Partner: UNT Libraries Government Documents Department
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Appendix E: Pre- and Postest Nondestructive and Desctructive Examination Results

Description: This appendix documents [nondestructive and destructive examinations and pretest data for for Reactivity Initiated Accident (RIA) Series 1-4 fuel behavior test flow shroud removed after a test conducted at the Idaho National Engineering Laboratory in Idaho Falls, Idaho.
Date: September 1984
Creator: Cook, Beverly A. & Martinson, Zoel R.
Partner: UNT Libraries Government Documents Department
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Appendix F: Reactor Physics Analysis

Description: Analysis for reactor physics for Reactivity Initiated Accident (RIA) Series 1-4 fuel behavior test conducted at the Idaho National Engineering Laboratory in Idaho Falls, Idaho.
Date: September 1984
Creator: Cook, Beverly A. & Martinson, Zoel R.
Partner: UNT Libraries Government Documents Department
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Appendix G: Document and Records Traceability

Description: "This appendix (a) provides a description of documentation and computer tapes generated while preparing for, conducing, and gathering data from Test RIA 1-4 at the Power Burst Facility (PBF); (b) provides a list of some primary documents; and (c) describes how to obtain finished data and some primary documents." (p. G-2)
Date: September 1984
Creator: Cook, Beverly A. & Martinson, Zoel R.
Partner: UNT Libraries Government Documents Department
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Uranium Hydrogeochemical and Stream Sediment Reconnaissance of the Lander NTMS Quadrangle, Wyoming, Including Concentrations of Forty-Three Additional Elements [Microfiche]

Description: Report detailing uranium and other elemental data resulting from the Hydrogeochemical and Stream Sediment Reconnaissance (HSSR) of 355 water and 1376 sediment samples collected from 1443 locations in the Lander National Topographic Map Series (NTMS) quadrangle, Wyoming, by the Los Alamos Scientific Laboratory.
Date: September 1979
Creator: Shannon, Spencer S.; Sandoval, Walter F.; Montoya, Janet D.; Minor, Michael M.; Simi, Oliver R.; Talcott, Carol L. et al.
Location: None
Partner: UNT Libraries Government Documents Department
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Artificial Intelligence for Earth System Predictability: 2021 Workshop Report

Description: This report documents the proceedings and results from the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop. The goals of this workshop were to explore more radically and aggressively advance prediction capabilities in the climate, Earth, and environmental sciences through the use of modern data analytics and artificial intelligence.
Date: September 1, 2022
Creator: Hickmon, Nicki; Varadharajan, Charuleka; Hoffman, Forrest; Wainwright, Haruko & Collis, Scott
Partner: UNT Libraries Government Documents Department
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Artificial Intelligence (AI) Mission Focused Subcommittee Final Report

Description: This report details the creation and intentions of the Artificial Intelligence (AI) Mission Focused Subcommittee. The subcommittee asserts that if utilized in an ethical, informed, and responsible manner, AI/ML systems have the ability to improve transportation security, accelerate migrant processing timelines, bolster the functioning of supply chains, intercept illicit contraband , and more.
Date: September 14, 2023
Creator: Andreessen, Marc; Barrett, Tarika; Chertoff, Michael; Isom, Robert; Shortal, Matt; Stephen, Craig et al.
Partner: UNT Libraries Government Documents Department
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National Uranium Resource Evaluation: Richfield Quadrangle, Utah

Description: From Introduction: "The Richfield 1º x 2º Quadrangle, Utah, was evaluated to identify and delineate areas and geologic areas and geologic units that exhibit characteristics favorable for the occurrence of uranium deposits. A favorable area or environment, according to the specifications used in this study, is one that is known or is likely to have uranium deposits containing a minimum of 100 tons of U3O8 with an average grade of not less than 100 ppm U3O8."
Date: September 1982
Creator: Bromfield, Calvin Stanton, 1923- & Robinson, Keith, 1933-
Location: None
Partner: UNT Libraries Government Documents Department
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Enterprise Use of Artificial Intelligence and Machine Learning

Description: The objective of this report was to provide information on risks associated with Enterprise use of artificial intelligence and machine learning. The authors reviewed internal FHFA and Enterprise documents, as well as publicly available documents.
Date: September 19, 2022
Creator: United States. Federal Housing Finance Agency. Office of Inspector General
Partner: UNT Libraries Government Documents Department
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Mining-induced seismicity at the Lucky Friday Mine: Seismic events of magnitude >2.5, 1989--1994

Description: An understanding of the types of seismic events that occur in a deep mine provides a foundation for assessing the seismic characteristics of these events and the degree to which initiation of these events can be anticipated or controlled. This study is a first step toward developing such an understanding of seismic events generated by mining in the Coeur d`Alene Mining District of northern Idaho. It is based on information developed in the course of a long-standing rock burst research effort un… more
Date: September 1, 1996
Creator: Whyatt, J. K.; Williams, T. J.; Blake, W.; Sprenke, K. & Wideman, C.
Partner: UNT Libraries Government Documents Department
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Conceptual design report - sludge receiving station project A.13

Description: This document describes the conceptual design for the Sludge Receipt Subproject that meets the functional design criteria. Also included in this document are the cost estimate and schedule.
Date: September 5, 1996
Creator: Wellner, A. F.
Partner: UNT Libraries Government Documents Department
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Artificial Intelligence for Earth System Predictability: 2021 Workshop Report

Description: This report describes the results of the Artificial Intelligence for Earth System Predictability Workshop. The report summarizes the major outcomes of the workshop with an overarching goal to define priorities that can yield the most impactful science.
Date: September 2022
Creator: United States. Department of Energy. Office of Science.
Partner: UNT Libraries Government Documents Department
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