City Revenue and Economic Forecast Update for Fiscal 2023
Council Finance projects a mild recession and weak recovery, with tax revenues exceeding OMB's forecast but constrained by inflationary pressures. Despite economic challenges, FY23 tax collections are higher, driven by strong consumer spending and real estate activity.
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Firm Fuel Requirements and Gas Resource Qualification
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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Efficient Resource Mobilization and Management Strategies by Dr. Abraham Maliet Mamer
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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Introduction to Theory of Machine Unit I: Simple Mechanisms
Explore the fundamentals of Theory of Machine (MEC-201A) Unit I with Dr. Sandeep, Assistant Professor in the Mechanical Engineering Department. Learn about the introduction to machines, motion classification, kinematic links, nomenclature, constrained motion, kinematic pairs, kinematic chains, and m
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Roughtime: Securing time for IoT devices
Accurate time is crucial for security protocols like DNSSEC and TLS in IoT devices. Roughtime protocol, with improved accuracy and security features, provides a solution for securing time in resource-constrained environments. The protocol addresses the bootstrapping problem and allows for microsecon
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Comprehensive Overview of UNRMS Framework and Principles
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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Capacity Zone Modeling for Forward Capacity Auction 17 Results
This presentation unveils the Capacity Zone modeling calculations for Forward Capacity Auction 17 associated with the 2026-2027 Capacity Commitment Period by ISO-NE PUBLIC. It delves into boundary definitions, import-constrained zone modeling, and market rules guiding the assessments and modeling pr
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Population Resource Regions and Zelinsky's Classification
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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Resource Pack for Safeguarding Adolescents: Enhancing Practice in Waltham Forest
This resource pack aims to promote a culture of understanding and responsiveness in safeguarding adolescents in Waltham Forest. It emphasizes valuing diverse experiences, considering both positive and negative risks, prioritizing adolescent needs, and recognizing constrained choices. Through various
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Enhancing Chapel Compiler with Interfaces and Semantic Changes
Explore the evolution of Chapel compiler with the integration of interfaces, semantic modifications, and improvements in error messages. Delve into the concepts of constrained generics, function call hijacking prevention, and the impact on compiler efficiency.
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GPU-Accelerated Delaunay Refinement: Efficient Triangulation Algorithm
This study presents a novel approach for computing Delaunay refinement using GPU acceleration. The algorithm aims to generate a constrained Delaunay triangulation from a planar straight line graph efficiently, with improvements in termination handling and Steiner point management. By leveraging GPU
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Oppressive Relationships: Mother and Son
A story of oppression, repressed individuality, conformity, and a strained mother-son relationship depicted through vivid imagery in a stifling and heavy atmosphere. The son's feelings of monotony and discomfort are highlighted in the setting, emphasizing the lack of control and resentment he feels
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AI-based Detection of Malaria: Overview and Challenges
This presentation delves into the utilization of AI for malaria detection, showcasing the background that led to the creation of TG-Malaria. Highlighting the current burden of malaria in Uganda and other developing nations, it addresses challenges in microscopy diagnosis due to a lack of trained tec
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Strategic Patent Acquisition in Fragmented Technology Markets
This article explores how firms adopt aggressive patenting strategies to avoid being constrained by technology owners. It delves into the complexities of hold-up problems in technology markets and the challenges firms face in acquiring patents to secure their position. The discussion encompasses sce
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Efficient Billion-Scale Label-Constrained Reachability Queries
Graph data sets are prevalent in various domains like social networks and biological networks. Label-Constrained Reachability (LCR) queries aim to determine if a vertex can reach another vertex through specific labeled edges. Existing works utilize exhaustive search or graph indexing techniques, but
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Understanding Electron-Phonon Interactions in Iron-Based Superconductors
This discussion explores the effects of electron-phonon interactions on orbital fluctuations in iron-based superconductors. Topics covered include ab initio downfolding for electron-phonon coupled systems, evaluation methods such as Constrained Random Phase Approximation (cRPA), Constrained Density-
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Impact of Cloud Computing Technology on Young Firms' Performance
The technology shock of cloud computing has significantly influenced the survival and performance of young firms. Young firms face higher uncertainty, benefit from experimentation, and are resource-constrained, making cloud computing's elastic, fast, and generic nature particularly advantageous. Thi
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Convex Optimization: Interior Point Methods Formulation
This chapter on interior point methods in convex optimization explores the formulation of inequality-constrained optimization problems using barrier methods and generalized inequalities. It covers primal-dual interior point methods and discusses issues such as exponential complexity and determining
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The UK and Western Productivity Puzzle: Exploring Arthur Lewis' Key
The UK and other Western countries have experienced a productivity puzzle post the Great Recession, with a slowdown in labor productivity and TFP growth. This phenomenon is attributed to constrained export demand and variations in labor market institutions across countries. The UK, in particular, ha
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Zorua: A Holistic Resource Virtualization in GPUs Approach
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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Realistic Simulation for Fragment Analysis in Particle Physics
Experience a detailed exploration of fragment analysis through a realistic simulation carried out with constrained fits. Dive into the study and determination of total kinetic energy, momentum, and beta values using cutting-edge methodologies. Uncover insights into reconstructed quantities, detector
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Insights on Family Justice Best Practices & Policy Implications
Through a study on mapping paths to family justice, key insights were gathered. The conciliatory approach is dominant in settling cases, with practitioner quality playing a crucial role in higher conflict disputes. Emotional readiness is often a barrier, and the child's voice competes with adult rig
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The Marshmallow Challenge: A Fun Team Building Activity
This engaging activity, popular among kindergarteners, architects, and engineers, involves building the tallest freestanding structure using spaghetti, tape, string, and a marshmallow. The aim is to nurture collaboration, communication, and prototyping skills in a time-constrained, competitive envir
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Insights into Two-Share Threshold Implementation in Lightweight Cryptography
Tailored for constrained applications, two-share threshold implementation offers efficient and secure solutions, analyzed against side-channel attacks. Exploring the motivation, background, results, and comparison with three-share schemes, this study provides valuable insights into the viability of
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Understanding Genetic Variation and Its Role in Evolution
Genetic variation is crucial for evolution, providing the raw material for adaptation and species diversity. Phenotypic variation can arise from differences in genotype, environment, or their interaction. Studying genetic variation through statistical analysis and at the molecular level helps us unr
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Comparison of C vs Rust Programming Languages
C and Rust are programming languages known for their efficiency in resource-constrained environments. While C offers direct control over hardware and is favored by advanced programmers for its performance, Rust provides memory safety features that prevent common errors like null pointer dereferences
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Accelerated Evolutionary Planning for Constrained Robotic Missions: A Dynamic Programming Approach
This research paper by Rahul Kala presented at the IEEE Conference on Simulation, Modelling, and Programming for Autonomous Robots introduces a novel method combining dynamic programming and accelerated evolutionary planning for efficient robotic mission planning. The paper discusses various example
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Insights into Low-Carbon Lifestyles and Modeling Change
Conducting a large-scale review of literature on lifestyles revealed key insights for low-carbon research, spanning health, marketing, and environmental domains. Through the development of a conceptual framework and empirical application across four countries, the interplay between cognitions and be
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Semantically Similar Relation Clustering with Tripartite Graph
This research discusses a Constrained Information-Theoretic Tripartite Graph Clustering approach to identify semantically similar relations. Utilizing must-link and cannot-link constraints, the model clusters relations for applications in knowledge base completion, information extraction, and knowle
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Lessons Learned from Zimbabwe's Treat All Program at IAS 2017
OPHID and partners presented 9 abstracts and co-hosted a Satellite Session at IAS 2017, sharing insights from Zimbabwe's learning phase of Treat All. The abstracts covered topics such as HIV testing, viral load monitoring, mental health screening, and more. The event highlighted successes and challe
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Understanding Montesquieu's View on Democracy and Law
Montesquieu, a notable French nobleman and influential figure in Western culture, delved into essential aspects of democracy, liberty, and separation of powers. Through his works like "The Spirit of Laws," he emphasized the importance of laws in societies and the relationship between laws and variou
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Adapting Linear Hashing for Flash Memory Constrained Embedded Devices
This research explores the adaptation of linear hashing for improved data handling on flash memory-constrained embedded devices. Motivated by the increasing data collection by IoT devices, the study focuses on implementing database structures like a linear hash table for efficient data processing. T
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Fair and Efficient Multi-Resource Sharing in Social Networks
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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Analysis of "Bed" by Jackie Kay: Themes, Form, and Use of Scots
Bed" by Jackie Kay is a dramatic monologue portraying the perspective of an elderly woman confined to her bed, exploring themes of aging, resentment, and guilt between generations. The poem uses Scots to add immediacy to the narrative, highlighting the woman's reliance on her daughter and contemplat
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Proposed Amendment for Minimum Turndown Level Protection in Electricity Grid Code
The presentation discusses the draft amendment to the Indian Electricity Grid Code regarding the minimum turndown level protection for generating stations. It suggests using Security Constrained Unit Commitment (SCUC) instead of SCED to ensure minimum turndown levels are met, as illustrated through
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CloudScale: Elastic Resource Scaling for Multi-Tenant Cloud Systems
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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Analysis of Time Use Surveys: Insights from France and Sweden
Monitoring time use survey methods and results from a local time policy perspective reveals key trends in France over 25 years, including the evolution of constrained and non-constrained times, daily activities of employed women and men, and comparisons for evaluating welfare state performances. Dat
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Selling Information to Budget-Constrained Buyers
The images and descriptions discuss the concept of selling information through consulting, focusing on marketing, consumer information, and credit reports. Motivations for targeting budget-constrained buyers and the optimal mechanisms for selling information are explored. The content highlights mode
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Constrained Adaptive Sensing and Benefits of Adaptivity
Constrained adaptive sensing involves estimating sparse signals with constraints, utilizing strategies like nonadaptive sensing and adaptive sensing. Benefits of adaptivity include reducing errors and improving estimation accuracy in signal processing. It explores the potential for improvement in re
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Tuberculosis as a Risk Factor for Viral Non-Suppression in Patients Switched to Dolutegravir-Based Therapy
The study investigates the impact of incident tuberculosis on viral non-suppression among patients transitioning to Dolutegravir-based therapy in Zambia. It aims to identify factors associated with viral non-suppression and describe clinical outcomes in the context of tuberculosis occurrence. The re
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