Listening to the needs of libraries worldwide, the collaboration between Library of Congress, FOLIO, and EBSCO aims to improve data flow and accessibility through Linked Data aggregation. The initiative includes making BIBFRAME adoption easier, enhancing BIBFRAME editing functionality, and automatin

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Oklahoma's Transportation Cabinet consists of three agencies responsible for managing federal aid highways, county roadway data aggregation, Turnpike infrastructure, and aeronautics. The GIS infrastructure includes 18 full-time staff primarily using Esri Enterprise GIS tools for data integration and

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This explores how combining data from different sources into a clear and organized format is key to making an effective Business Intelligence dashboard.

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In a detailed report by Dee Spivey and Angie Zouhar, key provisions of SECURE Act 2.0 are outlined, including changes in retirement plans like RMD age increase, employee certification of hardship withdrawals, and more. Secure 1.0 and Secure 2.0 differences, effective dates, and necessary actions for

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In today's data-driven world, organizations rely on robust data engineering pipelines to collect, process, and analyze vast amounts of data efficiently. At the heart of these pipelines lies data wrangling, a critical process that involves cleaning, transforming, and preparing raw data for analysis.

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In today's digital landscape, the accuracy and reliability of data are paramount. AssetTech specializes in providing robust data management solutions that ensure your information is accurate, secure, and actionable. By leveraging cutting-edge technologies and best practices, AssetTech empowers busin

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In current data world, businesses thrive on their ability to harness and interpret vast amounts of data. This data, however, often comes in raw, unstructured forms, riddled with inconsistencies and errors. To transform this chaotic data into meaningful insights, organizations need robust data wrangl

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Discover how to ensure reliable data transfer, make informed decisions, and gain a strategic advantage through the use of Secure File Transfer Protocol (SFTP) and Pretty Good Privacy (PGP) encryption. The session includes demonstrations on PGP encryption and SFTP access, along with insights on setti

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Understanding the advantages and disadvantages of database normalization, the concept of aggregation in the ER model, and examples of creating ER diagrams using aggregation rules with related entities. Explore the benefits of smaller databases and better performance through normalization, and how ag

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Serials in library cataloging are modeled as complex constructs in IFLA LRM with considerations for whole/part and aggregation relationships. This module explores the intricacies of serial manifestations, issue manifestations, and the concept of WEM lock, providing insights into collocating closely-

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Oregon's Statewide Assessment System (OSAS) emphasizes the critical need for secure testing environments to maintain the validity and accuracy of assessment data. This includes handling secure printed test materials, identifying and preventing improprieties, and reporting any irregularities. From ma

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Data Governance and Data Analytics play crucial roles in transforming data into knowledge and insights for generating positive impacts on various operational systems. They help bring together disparate datasets to glean valuable insights and wisdom to drive informed decision-making. Managing data ma

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Addressing implications of large-size RU aggregation on RTS/CTS in IEEE 802.11-17, focusing on the signaling of Enhanced High Throughput Format PPDU Bandwidth and puncturing in RTS/CTS frames. Proposing the use of HE MU-RTS Trigger frame to elicit CTS response from STAs, along with different CTS for

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Exploring the significance of price index formulas and aggregation methods in economic analysis. Learn about simple and weighted aggregate indices, elementary index calculations, and why aggregation methods are essential for computing price changes accurately.

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Explore the concepts of privacy-preserving prediction and learning in machine learning research, including differential privacy, trade-offs, prediction APIs, membership inference attacks, label aggregation, classification via aggregation, and prediction stability. The content delves into the challen

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Explore the automation of efficient RAM-model secure computation techniques, including examples such as secure binary search. Discover how traditional solutions using circuit abstractions can be improved for sub-linear time computation through methods like Oblivious RAM. Learn about techniques such

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Explore the concept of cloud-optimized HDF5 files, including Cloud-Optimized Storage Format, Cloud Native Storage Format, and the benefits of using HDF5 in cloud environments. Learn about key strategies like Paged Aggregation, chunk size optimization, and variable-length datatypes considerations to

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In August 2019, key concepts for mortality aggregation were discussed at the NAIC National Meeting. The examples presented covered approaches under VM-20 language, emphasizing the importance of informed mortality segment assumptions through credible aggregation methods.

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The SouthEast SECURE program at universities like Clemson and University of Alabama focuses on improving cybersecurity for NSF-funded research projects. It provides metrics, communication facilitation, and practical assistance to enhance data security. The program aims to support researchers in util

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This article discusses the challenges of traditional secure wireless pairing methods that rely on password validation and proposes the Tamper-Evident Pairing (TEP) protocol as a secure in-band solution to protect against Man-in-the-Middle (MITM) attacks. TEP eliminates the need for out-of-band chann

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Secure multiparty computation (SMC) enables parties with private inputs to compute joint functions without revealing individual data, ensuring privacy and correctness. This involves computations on encrypted data using techniques like homomorphic encryption for scenarios like e-voting. SMC serves as

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Explore the impact and role of data utilization in organizations through the investigation of data collection methods, data quality, decision-making processes, reliability of collection methods, factors affecting data quality, and privacy considerations. Two scenarios are presented: data collection

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Agreements have been reached on the RRM requirements and scaling factors for FR2 inter-band Carrier Aggregation, focusing on common beam and independent beam management. Discussions include alignment with Release 16 specifications, scenarios, and RF architectures. Interruption requirements for diffe

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Exploring actively secure arithmetic computation and VOLE with constant computational overhead at Tel Aviv University. Understanding how functions are represented in secure computation using arithmetic circuits over boolean circuits. Efficiently evaluating arithmetic circuits over large finite field

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The SYNERGY Reference Model, developed by a team of respected contributors, outlines strategies for effective data provision and aggregation. Led by renowned experts from FORTH, the model offers valuable insights for enhancing research practices and data management processes.

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Learn how to access the CPCSSN Secure Research Environment (SRE) for secure data analysis. Follow steps such as setting up VPN, accessing SQL databases, and establishing ODBC connections for statistical analysis using tools like SAS, R, SPSS, or Stata. Enhance your research capabilities within a sec

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Wander Join is a technique for online aggregation using random walks, addressing challenges in efficiency and correctness in both transactional and analytical database workloads. It allows for complex analytical queries such as TPC-H queries and provides insights into revenue loss due to returned or

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Wide spectrum of animal telemetry data collection protocols and platforms require enhanced data stewardship options for secure sharing before public release. The need for a more granular understanding of available data and structured systems integration is crucial. Initial workflow involves providin

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Apache Pig is a data flow language developed by Yahoo! and is a top-level Apache project that enables non-Java programmers to access and analyze data on a cluster. It interprets Pig Latin commands to generate MapReduce jobs, simplifying data summarization, reporting, and querying tasks. Pig operates

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In the realm of energy grid operations, DER aggregation plays a crucial role from both short and long-term perspectives, focusing on transactive energy and autonomous devices. Communication and coordination are key for successful monitoring and control, with a need for a common framework supporting

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OLAP (Online Analytical Processing) allows interactive analysis of data with multidimensional models, categorizing measures by dimensions. The motivation is to generalize OLAP models for imprecise dimension values and uncertain measure values, addressing ambiguous data through answer aggregation que

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This guidance focuses on phone-based case management and hotlines for remote GBV services. It covers key considerations related to documentation, data storage, and confidentiality in phone-based GBV case management and hotline services. The importance of protecting survivor information, avoiding dat

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This detailed content provides insights into the secure connections in STM32WB BLE devices, covering aspects such as BLE security methods, encryption techniques, pairing processes, key distribution, and security modes and levels. It emphasizes the use of Long Term Keys (LTK), Diffie-Hellman key exch

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Secure Electronic Transactions (SET) is an encryption and security specification designed to protect credit card transactions on the Internet. SET provides a secure way to utilize existing credit card payment infrastructure on open networks, such as the Internet, involving participants like clients,

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Exploring secure outsourced aggregation techniques using one-way chains for wide-area shared sensing and weather monitoring. The unique characteristics, challenges, and solutions for dealing with malicious aggregators are discussed. The research presents the contributions and advancements in optimiz

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Explore the classification of research data into public, private, secure DoD, and VA data categories, with examples and guidelines for secure storage options. Understand the risks associated with unauthorized disclosure of private/confidential data and learn how to protect sensitive information to p

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This article introduces an open-source SPDM (Secure Protocol and Data Model) implementation for secure device communication, developed by Jiewen Yao and Xiaoyu Ruan, Principal Engineers at Intel. SPDM aims to enhance device security through protocols for device authentication, session key establishm

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Delve into the world of secure care services in Scotland, focusing on achievements, challenges, and opportunities in providing youth justice. Learn about trends in secure care, reduction in costs, reasons for referrals, and evidence-based programs like DBT in Glasgow. Gain insights from industry lea

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Cloud computing enables remote data storage and application utilization without local hardware and software management. This paper addresses challenges related to data security and access control in cloud environments, emphasizing the need for fine-grained data access control. It discusses the compl

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Dive into the world of secure Pseudo-Random Functions (PRFs) and Pseudo-Random Permutations (PRPs) in cryptography. Learn about the definitions, security criteria, and examples of secure PRFs and PRPs such as 3DES and AES. Explore the concepts of secure block ciphers and key principles behind these

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