This document is a compilation of characterization data for compact lot NUCO350-75T-Z. This compact lot was fabricated using particle composite NUCO350-75T, which was a composite of three batches of TRISO-coated 350 m natural uranium oxide/uranium carbide kernels (NUCO). The compacts and coated particles were produced as part of a development effort at ORNL for the Advanced Gas Reactor Fuel Development and Qualification (AGR) program. The kernels were obtained from BWXT and were identified as composite G73B-NU-69300. The BWXT kernel lot G73B-NU-69300 was riffled into sublots for characterization and coating. The ORNL identification for these kernel sublots was NUCO350-## (where ## were a series of integers beginning with 01). NUCO350-75T-Z was produced as part of the ORNL AGR development effort and is not fully representative of a final product. This compact lot was the first run through of the entire ORNL AGR-1 irradiation test fuel production process involving coating, characterization, and compacting of TRISO-coated 350 m NUCO. The results of this exercise were used to fine tune the irradiation test fuel production process and as a basis for the decision to proceed with the production of the baseline fuel for the AGR-1 irradiation test.

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

This book constitutes the refereed proceedings of the 5th International Conference on Product Focused Software Process Improvement, PROFES 2004, held in Kansai Science City, Japan in April 2004. The 41 revised full papers presented were carefully reviewed and selected and constitute a balanced mix of academic and industrial aspects. The papers are organized in topical sections on software process improvement, software quality, measurement, methods and tools, experimental software engineering, industrial experiences, agile methods, software process assessment, requirements engineering, and software reuse and COTS.

Examines ability of Federal agencies and departments to collect information on accidents involving household products and to use the information to help prevent future accidents.

Praise for the first edition: "DNP students may struggle with data management, since their projects are not research but quality improvement, and this book covers the subject well. I recommend it for DNP students for use during their capstone projects." Score: 98, 5 Stars -- Doody's Medical Reviews This unique text and reference—the only book to address the full spectrum of clinical data management for the DNP student—instills a fundamental understanding of how clinical data is gathered, used, and analyzed, and how to incorporate this data into a quality DNP project. The new third edition is updated to reflect changes in national health policy such as quality measurements, bundled payments for specialty care, and Advances to the Affordable Care Act (ACA) and evolving programs through the Centers for Medicare and Medicaid Services (CMS). The third edition reflects the revision of 2021 AACN Essentials and provides data sets and other examples in Excel and SPSS format, along with several new chapters. This resource takes the DNP student step-by-step through the complete process of data management, from planning through presentation, clinical applications of data management that are discipline-specific, and customization of statistical techniques to address clinical data management goals. Chapters are brimming with descriptions, resources, and exemplars that are helpful to both faculty and students. Topics spotlight requisite competencies for DNP clinicians and leaders such as phases of clinical data management, statistics and analytics, assessment of clinical and economic outcomes, value-based care, quality improvement, benchmarking, and data visualization. A progressive case study highlights multiple techniques and methods throughout the text. New to the Third Edition: New Chapter: Using EMR Data for the DNP Project New chapter solidifies link between EBP and Analytics for the DNP project New chapter highlights use of workflow mapping to transition between current and future state, while simultaneously visualizing process measures needed to ensure success of the DNP project Includes more examples to provide practical application exercises for students Key Features: Disseminates robust strategies for using available data from everyday practice to support trustworthy evaluation of outcomes Uses multiple tools to meet data management objectives [SPSS, Excel®, Tableau] Presents case studies to illustrate multiple techniques and methods throughout chapters Includes specific examples of the application and utility of these techniques using software that is familiar to graduate nursing students Offers real world examples of completed DNP projects Provides Instructor’s Manual, PowerPoint slides, data sets in SPSS and Excel, and forms for completion of data management and evaluation plan