Explore the concept of Coordinated Spatial Reuse (C-SR) in IEEE 802.11 networks, a scheme where multiple access points (APs) transmit data simultaneously to reduce interference and enhance resource utilization. Learn about the definition, benefits, and necessary components for successful C-SR operat

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This case study focuses on comparing the cost and greenhouse gas emissions savings of local processing and reuse of Construction and Demolition Waste (CDW) materials versus sending them to landfills. By developing a prototype cost and GHG savings calculator, the aim is to showcase the potential of e

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This contribution explores Coordinated Spatial Reuse (Co-SR) as a potential multi-AP feature for the IEEE 802.11bn standard. It discusses the trade-offs, proposes a method for downlink channel access, and evaluates its impact on goodput and packet delivery delay. The background highlights the gains

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The Digital Personal Data Protection Act of 2023 aims to regulate the processing of digital personal data while balancing individuals' right to data protection and lawful data processing. It covers various aspects such as obligations of data fiduciaries, rights of data principals, and the establishm

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Evaluation of power control schemes for Coordinated Spatial Reuse (CSR) in IEEE 802.11-24, comparing benefits with and without power control. Results show gains in throughput and SINR with different CSR schemes and considerations for shared access points. Concerns and insights shared on the effectiv

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NCI Data Collections BARPA & BARRA2 serve as critical enablers of big data science and analytics in Australia, offering a vast research collection of climate, weather, earth systems, environmental, satellite, and geophysics data. These collections include around 8PB of regional climate simulations a

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The integration of NLP into data pipelines represents a paradigm shift in data engineering, offering companies a powerful tool to reinvent their data workflows and unlock the full potential of their data. By automating data processing tasks, handling diverse data sources, and fostering a data-driven

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The integration of NLP into data pipelines represents a paradigm shift in data engineering, offering companies a powerful tool to reinvent their data workflows and unlock the full potential of their data. By automating data processing tasks, handling diverse data sources, and fostering a data-driven

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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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The water recycle and reuse market is projected to reach USD 27.0 billion by 2028, at a CAGR of 10.8% from USD 16.1 billion in 2023. The market growth is driven by factors such as the use of equipments like filtration, Machinery and the increasing demand for the use of water recyle due to the limite

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Data wrangling tool like Ask On Data plays a pivotal role in reshaping IT strategies by elevating data quality, streamlining data preparation, facilitating data integration, empowering citizen data scientists, and driving innovation and agility. As businesses continue to harness the power of data to

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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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Organizations generate and gather enormous amounts of data from diverse sources in today's data-driven environment. This raw data, often unstructured and messy, holds immense potential for driving insights and informed decision-making. However, transforming this raw data into a usable format is a ch

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The importance of a robust data wrangling tool like Ask On Data cannot be overstated in today's data-centric landscape. By streamlining the data preparation process, enhancing productivity, ensuring data quality, and fostering collaboration, Ask On Data empowers organizations to unlock the full pote

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In today's data-driven world, the ability to seamlessly migrate and manage data is essential for businesses striving to stay competitive and agile. Data migration, the process of transferring data from one system to another, can often be a daunting task fraught with challenges such as data loss, com

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Reusing walking aids like crutches, frames, and walking sticks can significantly reduce carbon emissions and waste in the healthcare sector. By implementing walking aid reuse schemes, hospitals can save money, reduce their environmental impact, and contribute to the NHS's sustainability goals. This

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Apache Spark, developed by Matei Zaharia and team at UC Berkeley, aims to enhance cluster computing by supporting iterative algorithms, interactive data mining, and programmability through integration with Scala. The motivation behind Spark's Resilient Distributed Datasets (RDDs) is to efficiently r

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Inheritance in object-oriented programming allows the creation of new classes derived from existing classes, promoting code reuse. By extending a general superclass to specialized subclasses, developers can model different entities efficiently. However, it's crucial to understand when to use inherit

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Reusing phylogenetic data can revolutionize scientific research by enabling synthesis of knowledge and comparative analyses across scientific disciplines. However, a significant portion of valuable phylogenetic data is lost due to the prevalent use of static images for tree publication. To address t

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Coordinated Spatial Reuse (C-SR) is a Multi-AP transmission technique proposed for UHR networks that enhances efficiency by utilizing RSSI or pathloss feedback instead of complete CSI. This document introduces an efficient protocol for C-SR, focusing on a unified approach for better implementation.

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This document presents the Coordinated Spatial Reuse (CSR) procedure in IEEE 802.11-20/0410r4, focusing on the transmission schemes and necessary information for effective spatial reuse. It outlines the topology of CSR environments, acquisition of information for CSR, CSR capability announcement by

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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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The document discusses Coordinated Spatial Reuse (C-SR) in IEEE 802.11 networks, focusing on downlink transmission. C-SR is a multi-AP coordination scheme aimed at enhancing spectrum efficiency by reusing time/frequency resources among multiple Basic Service Sets (BSSs). The procedure is divided int

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Water recycling in the EU is gaining traction due to the increasing pressure on water resources. Recovered water treated to safe standards has economic and environmental benefits. Despite challenges like costs, it has potential for applications in agriculture and industry. EurEau, representing water

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Introduction to DDI-CDI and its relevance in EOSC applications, highlighting examples, foundational metadata, possible applications, questions for consideration, interoperability with FAIR data principles, and challenges in research across domain boundaries. DDI standards aim to improve data documen

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This study by Victor van der Veen and team from Vrije Universiteit Amsterdam, along with Xi Chen from Microsoft, delves into the dynamics of innocent flesh on the bone in the context of code reuse. The researchers focus on gadget finding and provide valuable insights through their analysis.

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MAGPIE, an interactive tool designed by Kin Wah Fung et al., aids in finding SNOMED CT and ICD-10-PCS codes for medical procedures. The ICD-10-PCS system, introduced by the U.S. CMS, features a multi-axial structure with seven characters representing different aspects of a procedure. The ICD-10-PCS

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Analysis of overhead components impacting the performance of Coordinated Spatial Reuse (Co-SR) in IEEE 802.11-23 standard for wireless communication. Evaluation of MAC overhead, negotiation and measurement phases, and frames in the negotiation phase. Discussion on the impact of overhead on Co-SR per

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Open Science presents interconnected fields like Open Access, Research Data, and Scholarly Communication. Research funding at GSI/FAIR involves strategic collaborations and fund distribution from regional to international levels. The program at GSI aligns with Open-Access standards, focusing on maki

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Explore the comprehensive resources provided by the FaceBase platform for craniofacial and dental research, featuring detailed tours, data organization insights, and a collaborative framework. Learn how the platform facilitates data sharing, boosts reproducibility, and supports a global research com

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Data preparation, also known as data pre-processing, is a crucial step in the data mining process. It involves transforming raw data into a clean, structured format that is optimal for analysis. Proper data preparation ensures that the data is accurate, complete, and free of errors, allowing mining

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Object-oriented programming (OOP) encapsulates data and functions into classes, akin to blueprints for creating objects. This lecture delves into the relationship between classes, objects, data members, member functions, and user-defined types. It emphasizes the reuse and encapsulation of code, info

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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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Explore the importance of data mapping for SDGs, utilizing the ADAPT tool to enhance localization and improve data planning. This tool assists in responding to global calls, assessing statistical capacity, and enhancing data system efficiency. Learn how ADAPT aids in identifying gaps, mapping data d

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Learn about the importance of integrated waste management, including waste reduction, reuse, and recycling practices. Discover how managing waste can conserve resources, reduce pollution, and save landfill space. Explore strategies such as source reduction, reuse of products, and making environmenta

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Object-Oriented Programming (OOP) is a programming paradigm that focuses on organizing code into objects with attributes and behaviors. Python supports various OOP concepts such as classes, objects, inheritance, polymorphism, abstraction, and encapsulation. Classes serve as blueprints for creating o

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This seminar conducted at S.M. Patel College of Home Science focused on studying the awareness of garment recycling and techniques adopted by housewives from different socio-economic backgrounds. The study aimed to promote the reuse and reprocessing of textiles to reduce waste. Through data collecti

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Preliminary findings from a project funded by the Institute for Museum and Library Services led by Drs. Ixchel Faniel and Elizabeth Yakel delve into the intersection of data reuse and digital preservation in quantitative social science, archaeology, and zoology. The research focuses on identifying t

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The Society for the Preservation of Natural History Collections conducted a project funded by IMLS to study data reuse and digital preservation in academic disciplines. The research team explored significant properties of social science, archaeological, and zoological data for effective preservation

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Coordinated beamforming/null steering is a promising scheme in IEEE 802.11be for joint transmission/reception challenges. This protocol aims to efficiently realize gains by establishing semi-static inter-AP coordination, enhancing spatial reuse opportunities, implementing CSI acquisition, and managi

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