Explore the comprehensive Web of Science Research & Discovery Platform, a valuable resource for researchers offering access to over 12,000 prestigious journals across various disciplines. From Core Functionalities to Content and Coverage, dive into the breadth of information available for advancing

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This Master's program offers a comprehensive curriculum focusing on Artificial Intelligence, Computational Drug Discovery, and Development. With a blend of cutting-edge technologies and practical applications, students delve into techniques, AI/ML, big data mining, modeling, and more. Through intens

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The Food and Drug Administration (FDA) plays a crucial role in regulating research, manufacturing, marketing, and distribution of medical devices. Medical devices are classified based on risk and intended use, with three main categories determining regulatory pathways. The classification system help

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Your neighbor's daughter is in search of a summer internship opportunity. The ethical considerations and principles of loyalty to the law, selfless service, and responsible stewardship are highlighted in this scenario. This encourages a thoughtful approach towards assisting with internship guidance

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Embark on a journey to master your device with insights on device features, app tours, camera and photos, workplace rules, and what comes next. Learn how to manage notifications effectively, make the most out of telephone features, save contacts efficiently, navigate quick settings for WiFi, Bluetoo

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Proposed solution entails a makeup application device designed for bilateral upper limb amputees, enabling independent makeup application. The device incorporates three components: an intermediary device, makeup brush end-effectors, and a change-out station/makeup case. Addressing the need for empow

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Spatial data management research focuses on designing robust spatial data structures, inventing new models, constructing query languages, and optimizing query processing. This study explores the estimation of query performance and selectivity, specifically in R-trees, for efficient access planning.

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In civil pretrial practice, discovery motions play a crucial role when the opposing party fails to respond adequately to formal discovery requests. These motions include Motion to Compel, Motion to Compel Further, and Motion to Deem Facts Admitted. By filing these motions, parties can seek court ord

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Nearest Neighbor Classifiers are a fundamental concept in machine learning, including k-Nearest Neighbor (k-NN) Classification. This method involves assigning a test sample the majority category label of its k nearest training samples. The rule is to find the k-nearest neighbors of a record based on

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IEEE 802.11-18/1922r0 document discusses the background and regulatory context for supporting 6 GHz operation in 802.11ax networks. It focuses on optimizing the discovery process for 6 GHz channels to enhance STA and network KPIs. The typical scanning/discovery procedure for non-AP STAs is outlined,

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This document discusses the implementation of multi-band discovery assistance for IEEE 802.11ay networks to improve robustness and reduce latency in consumer devices. It focuses on reducing overhead latency, enabling TDD channel access, and utilizing multi-band signaling for various network operatio

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Explore the insights shared by Kristin Partlo and Danya Leebaw, Carleton College's Reference and Instruction Librarians, on the intricacies of data discovery, the marriage of discovery and analysis, mechanisms for data discovery, and specific manifestations at Carleton. Gain a deeper understanding o

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The document discusses the implementation of Restricted Transmit Wait Time (R-TWT) scheduling in IEEE 802.11 networks. It covers topics such as AP coordination, announcement of R-TWT schedules by APs, usage of 1-hop and 2-hop neighbor information for scheduling, and STA's notification of neighbor AP

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Elaboration on non-tethering Soft AP and possible service network scenarios in the January 2014 IEEE document. It discusses the concept of non-tethering Soft APs, their operation in the vicinity, and the categories of use scenarios related to Internet access and service discovery. The document cover

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Collection of images showcasing a gas puncture device used for GASC, including assembly, puncture tip close-ups, and operational demonstration. Images highlight the device's components and usage, from sealing protection to sample collection. The series illustrates the process and components involved

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The document explores the ongoing discussion on renaming the Device ID in IEEE 802.11-22/1665r0 standards. Various proposals, including Persistent Opaque Identifier and Persistent Identifier, are considered. The Device ID's role in the current specifications is analyzed, along with the opacity of th

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In this workshop, participants will learn how to effectively utilize Pivot and GrantForward for funding discovery. The session covers topics such as creating accounts, searching for opportunities, developing user-saved searches, and exploring available tools. Additionally, the importance of consider

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This overview covers the process of receiving and processing neighbor states, searching for new neighbors, updating neighbor sets, handling timeouts, sending hello messages, and utilizing provided classes like Packet, UdpSocket, HostId, NeighborInfo, and HelloMessage in a networking protocol impleme

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This study explores the use of K-Nearest Neighbor (KNN) and Multilayer Perceptron (MLP) classifiers for data classification. The KNN algorithm estimates data point membership based on nearest neighbors, while MLP is a feedforward neural network with hidden layers. Parameter tuning and results analys

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This overview discusses different algorithms related to nearest neighbor searching and aggregate distances in the plane. It covers concepts like aggregate-max, group nearest neighbor searching, applications in meeting location optimization, and previous heuristic algorithm work. Results include prep

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Classification methods in data mining, like k-nearest neighbor, Naive Bayes, Logistic Regression, and Support Vector Machines, rely on analyzing stored cases to predict the class label of unseen instances. Nearest Neighbor Classifiers use the concept of proximity to categorize data points, making de

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Clustering is a fundamental pre-Deep Learning Machine Learning method for grouping similar data points. This paper introduces an innovative parameter-free clustering algorithm that eliminates the need for human-assigned parameters, such as the target number of clusters (K). By leveraging first neigh

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Instance-Based Learning, as discussed in the lecture notes, focuses on classifiers like Rote-learner and Nearest Neighbor. These classifiers rely on memorizing training data and determining classification based on similarity to known examples. Nearest Neighbor classifiers use the concept of k-neares

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Explore different OSPF network types, neighbor relationships, DR/BDR election process, influencing election using OSPF priority, and sample OSPF design with WAN interfaces. Learn about OSPF neighbor requirements and best show/debug commands for troubleshooting OSPF networks.

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PuReMD Design involves the initialization of neighbor lists, bond lists, hydrogen bond lists, and coefficients of QEq matrix for bonded interactions. It also implements non-bonded interactions such as charge equilibration, Coulomb's forces, and Van der Waals forces. The process includes the generati

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The moon, Earth's closest celestial neighbor, orbits the Earth following Kepler's laws. With a distance of about 240,000 miles and a linear diameter of 2163 miles, the moon's mass is about 1/81 times that of Earth. Learn about the lunar orbit, nodes, and its relationship with synodic and sidereal mo

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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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Device ecosystems are reshaping user interactions and experiences, introducing new technologies like device communication, virtualization, and cloud infrastructure. The history of Unix derivatives, iOS development, and connectivity modes such as Ethernet, WiFi, Bluetooth, NFC, and USB are highlighte

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Explore the concept of path knowledge discovery through association mining using multi-category lexicons. The motivation behind this study is to bridge concepts across disciplines and facilitate scientific discovery by identifying chains of associations. This process involves infrastructure for path

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This document outlines a proposal for a Dynamic Bloom Filter Operation as part of a Pre-Association Service Discovery protocol to efficiently and quickly identify services offered by devices in a network. The design goals include efficiency, speed of discovery, and scalability. Challenges addressed

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The University of Birmingham's investment in library systems, particularly Primo, is discussed in detail at the 2013 IGeLU Conference. The customisation and implementation of Primo, along with its impact, are highlighted, showcasing how it supports research, teaching, and learning initiatives. The p

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J.J. Thomson's groundbreaking discovery of the electron in 1897 revolutionized the understanding of atoms. His Plum Pudding Model proposed in 1904 depicted electrons embedded in a positively charged matter, challenging the previous Dalton's Billiard Ball Model. This discovery transformed the atomic

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Pre-action discovery allows a party to obtain information from a potential defendant or non-party before commencing formal legal proceedings. The NT Supreme Court Rules Order 32 outline the procedures for pre-action discovery, including when there is reasonable cause to believe that relief may be ob

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On April 24, 1990, the space shuttle Discovery launched the Hubble Space Telescope into space, marking the beginning of an incredible journey of discovery. Over the past 30 years, Hubble has revolutionized our understanding of the universe, from exploring galaxies and black holes to revealing the my

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Explore the intricate world of Linux device drivers with a focus on ARM architecture. Delve into topics like character device drivers, memory and I/O access, block device drivers, and various other driver types. Gain insights into the principles and workings of LCD drivers, IIC drivers, network driv

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Explore the best practices for mobile device management, including transitioning on the fly while riding a bike, keynote presentations, managing Apple IDs, major deployment decisions, and key strategies for successful IT operations. Understand the significance of Mobile Device Management (MDM), Volu

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Presentation by Kazuyuki Sakoda from Sony proposing the extension of DMG multi-band discovery assistance in 802.11ay networks to improve neighbor device discovery beyond AP coverage. The focus is on enhancing network efficiency, low-latency communication, and robustness for VR applications in high-f

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Discussion on issues related to Access Point (AP) discovery using Wake-Up Radio (WUR) when the AP is in sleep mode, focusing on active scanning methods for quick AP discovery and association, including power-efficient wake-up frames and challenges with broadcast frames in IEEE 802.11 networks.

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The document discusses the service discovery requirements for the IEEE 802.11bc amendment, proposing mechanisms such as beacon/periodic frame transmission, eBCS service frame request/response, and ANQP. It emphasizes the need for a broadcast discovery mechanism to cater to listening-only STAs and ou

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This chapter delves into probabilistic query types, focusing on probabilistic group nearest neighbor queries. Explore the definitions, processing techniques, and applications of such queries. Learn how probabilistic data management plays a crucial role in uncertain databases, spatial queries, and mo

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