Explore gas resource capacity accreditation, firm fuel arrangements, and new qualification rules for gas-only or dual-fuel resources in gas-constrained winter periods. Enhancements proposed by ISO-NE aim to improve accuracy for resource modeling in the winter season.

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Dive into the world of Scottish myths and legends with this PowerPoint resource containing four engaging lessons to accompany "An Illustrated Treasury of Scottish Mythical Creatures" by Theresa Breslin. Learn about the differences between myths and legends, how they travel, their meanings and morals

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The presentation discusses the Resource Capacity Accreditation (RCA) project in the Forward Capacity Market (FCM) by ISO-NE, aiming to improve accreditation processes to support a clean-energy transition. It emphasizes modeling and accrediting gas and oil resources for resource adequacy as the energ

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This content discusses efficient resource mobilization and management strategies, emphasizing the importance of understanding the typical cycle of resource regime, defining resources, identifying resources, and mobilizing resources effectively. It provides insights into resource allocation methodolo

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Delve into the essential aspects of Resource Allocation Reviews in the educational setting through this webinar provided by the Office of School and District Improvement. Gain insights on the requirements, tools, and significance of conducting Resource Allocation Reviews to enhance school improvemen

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This presentation showcases "Creative Connections," an adaptable resource designed to help students link ideas between topics in education. Developed by Dr. Mike Coffey from Chemistry & Forensics and SST James Leinster from Nottingham Business School at Nottingham Trent University, this resource aim

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ERCOT's Resource Integration Working Group, led by Jenifer Fernandes, outlines important guidelines and deadlines for Quarterly Stability Assessments (QSA) and synchronization of generation resources. The group emphasizes the proper planning and review processes to ensure the reliability of the grid

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Adaptive strategies in machine learning, such as SafePredict and Forgetful Forests, help reduce errors caused by concept drift in various domains like recommender systems and finance. Tools like neural networks and random forests are designed to adapt to changing data over time, enhancing prediction

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UNRMS (UN Resource Management System) aims to promote sustainable resource management globally through innovative frameworks and principles. It encompasses various natural resources and supports sustainability at different scales. Stakeholders can use it to assess projects against environmental, soc

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ERCOT's resource adequacy analysis involves multiple aspects such as Capacity, Demand, and Reserves Report status, NPRR submissions, ELCC definitions, and MORA tabs detailing risk assessment and historical trends. The analysis covers upcoming changes in methodologies, seasonal release schedules, and

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This topic delves into partnerships and resource mobilization strategies essential for combating pandemics. Learners will gain knowledge on engaging partners, coordinating resources, and the importance of mobilizing different types of resources such as financial, technical, human, and institutional.

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Explore the key aspects of Human Resource Management (HRM) including concepts, functions, and development. Learn about HRM vs. Personnel Management, functions of HR Manager, and the differences between HRM and HRD. Dive into the definition of HRM, concepts of HRM, functions of personnel management,

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The SOWIT Video Resource Kit, developed by the English Language Education Section of the Curriculum Development Institute, aims to enrich students' English learning experiences by utilizing a series of videos to promote positive values and attitudes. This resource kit provides suggestions on effecti

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Recommender systems play a crucial role in providing personalized recommendations to users. This article delves into various types of recommender systems including Collaborative Filtering, Content-Based, Knowledge-Based, and Group Recommender Systems. Collaborative Filtering involves making predicti

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Discussion on improvements to resource capacity accreditation in the Forward Capacity Market to support a reliable, clean-energy transition by accrediting resource contributions effectively as the resource mix evolves. Covers conceptual design, stakeholder schedule, and review of proposed enhancemen

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Geographers have long studied the relationship between population growth and resource adequacy, leading to the concept of Population Resource Regions (PRR) by W. Zelinsky. Zelinsky identified five types of PRR based on population-resource ratios, ranging from Type A with high resource utilization po

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The construction industry operates in a dynamic environment with time, money, and resource constraints. This chapter focuses on resource management, optimization methods, and applications in construction. It covers the definition of resources, types of resources, and the importance of optimization i

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Explore the capabilities of Primo's Resource Recommender, a powerful tool designed to direct users to relevant resources that may not appear in search results. Learn how it improves known item searches, enhances patron experiences, and highlights library expertise. Discover how to tackle common chal

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This presentation covers various topics in unsupervised learning, including clustering, expectation maximization, Gaussian mixture models, dimensionality reduction, anomaly detection, and recommender systems. It also delves into advanced supervised learning techniques, ensemble methods, structured p

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Resource Schedule Documents (RSD) prepared using Standard Method of Resource Scheduling 1 (SMRS 1) facilitate efficient allocation, planning, and management of resources. The RSD includes sections detailing employer and contractor responsibilities, material issues, method statements, and charges. SM

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This comprehensive study covers key concepts in economics, such as the economic problem, cost-benefit analysis, resource scarcity, production possibilities, and distribution of resources. It delves into the importance of costs and benefits in decision-making, categorizing them, and identifying varia

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The course covers a range of topics including clustering, text summarization, named entity recognition, sentiment analysis, and recommender systems. The system architecture involves Kibana logs, user recommendations, storage, preprocessing, and various modules for processing text data. The clusterin

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Exploring the significance of 4-H Natural Resource Clubs through insights from surveys conducted among 4-H members, Extension Educators, and Natural Resource Professionals. The data highlights motivations, barriers, and suggested resources to enhance participation in natural resource projects, empha

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Richard Woods, Georgia's School Superintendent, is transitioning ELA and Math instructional tasks for students with significant disabilities from the Resource Board to the Teacher Resource Link (TRL) accessible through SLDS. Science and Social Studies items will soon be available on TRL as well. The

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This paper presents Zorua, a holistic resource virtualization framework for GPUs that aims to reduce the dependence on programmer-specific resource usage, enhance resource efficiency in optimized code, and improve programming ease and performance portability. It addresses key issues such as static a

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Targeting new users or items with limited or no information, the cold start problem poses challenges due to a lack of data. Strategies like knowledge-based, content-based, and collaborative filtering are discussed along with methods like neighbor clustering and hybrid approaches. Techniques such as

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Explore the dynamic field of information behavior research at the College of Information, University of North Texas. Meet key figures like Dr. Ziming Zeng, Dr. Dan Wu, Liuxing Lu, Yu Shi, and learn about their fascinating work in areas such as recommender systems, data mining, and user cognition. De

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This paper explores the concept of fair and efficient multi-resource sharing in social networks, presenting a credit market-based framework for charge-free computing resource sharing. It addresses the challenges of escalating data volumes and the need for collaborative resource allocation strategies

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CloudScale is an automatic resource scaling system designed to meet Service Level Objective (SLO) requirements with minimal resource and energy cost. The architecture involves resource demand prediction, host prediction, error correction, virtual machine scaling, and conflict handling. Module 1 focu

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Addressing the concept of flow rate fairness in network resource allocation, this content explores its limitations and challenges. Despite being a goal in protocols like TCP, the practicality and enforceability of flow rate fairness are questioned. It highlights the inadequacy of flow rate as a meas

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In this presentation, the xStreams system is introduced for recommending items to users with changing preferences. The methodology involves learning user preferences, finding similar users, and providing item recommendations. The motivation behind the system includes dealing with vast amounts of dat

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Introducing the Contrastive Knowledge Graph Attention Network (C-KGAT) for personalized recipe recommendation, addressing user preferences and noise in interactions. The model leverages a collaborative knowledge graph, user-recipe interactions, and textual features to recommend top-K recipes to user

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Presentation by Kent Chandler, Chairman of the Kentucky Public Service Commission, highlighting the significance of resource adequacy in ensuring reliable electricity supply. The role of regulatory agencies like PSC in reviewing utility investments, integrated resource planning, and the distinction

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Recommender Systems play a pivotal role in today's digital landscape, offering personalized content recommendations to users across various platforms like Netflix, Spotify, and Amazon. The roots of modern Recommender Systems can be traced back to the 1990s with concepts such as collaborative filteri

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IMF Statistics Department has developed two statistical tools, the Revenue Template and National Accounts Template, to help countries analyze government revenues and natural resources in national accounts. These tools are crucial for policymaking in countries heavily reliant on natural resource reve

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This research paper presents an elastic net regularized matrix factorization technique for recommender systems, focusing on reducing the dimensionality of the problem and utilizing features to describe item characteristics and user preferences. The approach combines existing algorithms and applies e

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This presentation discusses the importance of link prediction in social networks, including applications like recommending new friends, predicting actor participation in events, suggesting interactions between organizations, and overcoming data sparsity in recommender systems. It covers motivations,

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Providing UF employees access to valuable community resources through the Family Resource Coordinator, including discounted services for childcare, housing, health & wellness, transportation, entertainment, campus discounts, food, and more. Additional on-campus resources such as the Field and Fork P

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Addressing the challenges in identifying capacity needs for utilities and regions, the discussion covers PowerSimm's approach compared to other modeling tools, resource capability characterization, and regional resource sharing opportunities. The article also reviews comments on NorthWestern's syste

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