Data management plan for the grant "Self -powered Wireless Hybrid Density/Level Sensing with Differential Pressure Sensors for Safeguarding and Monitoring of Electrochemical Processing of Nuclear Spent Fuel."

Data management plan for the grant, "Minority Cyber-CREWS: Minority Community Cybersecurity Research, Educational Engagement, Workforce Development, and Security Best Practices." This project aims to improve cybersecurity research, education, and collaboration capabilities for the University of North Texas (UNT), a minority-serving institution (MSI) in the rapidly growing and diverse Dallas-Fort Worth (DFW) metropolitan area.

Article providing remarks for a management plan for Brazilian linguistic documentation repositories in order to contribute to their conservation. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

BigBOSS is a Stage IV ground-based dark energy experiment to study baryon acoustic oscillations (BAO) and the growth of structure with a wide-area galaxy and quasar redshift survey over 14,000 square degrees. It has been conditionally accepted by NOAO in response to a call for major new instrumentation and a high-impact science program for the 4-m Mayall telescope at Kitt Peak. The BigBOSS instrument is a robotically-actuated, fiber-fed spectrograph capable of taking 5000 simultaneous spectra over a wavelength range from 340 nm to 1060 nm, with a resolution R = {lambda}/{Delta}{lambda} = 3000-4800. Using data from imaging surveys that are already underway, spectroscopic targets are selected that trace the underlying dark matter distribution. In particular, targets include luminous red galaxies (LRGs) up to z = 1.0, extending the BOSS LRG survey in both redshift and survey area. To probe the universe out to even higher redshift, BigBOSS will target bright [OII] emission line galaxies (ELGs) up to z = 1.7. In total, 20 million galaxy redshifts are obtained to measure the BAO feature, trace the matter power spectrum at smaller scales, and detect redshift space distortions. BigBOSS will provide additional constraints on early dark energy and on the curvature of …

This document provides the general Operations Plan for performance of the mixer pump long term operations for Tank 241-SY-101 mitigation of gas retention and periodic release in Tank 101-SY. This operations plan will utilize a 112 kW (150 hp) mixing pump to agitate/suspend the particulates in the tank.

Conference proceedings of the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021. It includes 14 peer-reviewed papers that were presented at the workshop and an introduction from the workshop organizers.

This Resource Conservation and Recovery Act (RCRA) Facility Investigation (RFI)/Remedial Investigation (RI) Work Plan has been prepared for the Road A Chemical Basin Operable Unit (RdACB OU) (904-111G). This unit is subject to the requirements of both RCRA and the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA). This Work Plan presents the initial evaluation of existing unit data, applicable background data, the regulatory framework for the unit investigation, and the evaluations and decisions made during the determination of the scope and objectives of the planned Remedial Investigation/Feasibility Study (RI/FS) activities.

A letter report issued by the Government Accountability Office with an abstract that begins "Data mining--a technique for extracting useful information from large volumes of data--is one type of analysis that the Department of Homeland Security (DHS) uses to help detect and prevent terrorist threats. While data-mining systems offer a number of promising benefits, their use also raises privacy concerns. GAO was asked to (1) assess DHS policies for evaluating the effectiveness and privacy protections of data-mining systems used for counterterrorism, (2) assess DHS agencies' efforts to evaluate the effectiveness and privacy protections of their data-mining systems, and (3) describe the challenges facing DHS in implementing an effective evaluation framework. To do so, GAO developed a systematic evaluation framework based on recommendations and best practices outlined by the National Research Council, industry practices, and prior GAO reports. GAO compared its evaluation framework to DHS's and three component agencies' policies and to six systems' practices, and interviewed agency officials about gaps in their evaluations and challenges.."