The basics of campaign finance for the year 2023, including triggering events for opening candidate committees, disclaimers, yard signs, and campaign finance enforcement.

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Develop an outreach and communication strategy for Campaign Beta targeting various audiences through mediums like email, website, social media, advertising, and more. Tasks assigned, deadlines set, and a detailed plan to achieve campaign goals.

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Explore Microsoft's innovative approach to query optimization in production environments, addressing challenges with general-purpose optimization and introducing specialized cloud-based optimizers. Learn about the implementation details, experiments conducted, and the solution proposed. Discover how

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As part of the HSE's Autumn-Winter Vaccinations campaign, the NIO has designed a partner pack promoting flu, COVID-19, and whooping cough vaccines for pregnant women. The campaign emphasizes the importance of getting vaccinated during pregnancy to safeguard both the mother and baby from serious illn

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The 2023 NJC Pay Campaign for council and school workers in England, Wales, and Northern Ireland includes an increase of RPI + 2% on all NJC pay points. The employers have offered a flat rate increase of £1,925, but this offer is below the current RPI inflation rate. Learn more about the NJC pay sp

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The 2024 NJC pay campaign focuses on increasing pay by £3,000 or 10%, introducing a £15 per hour minimum wage by 2026, addressing equalities pay gaps, reducing the working week by two hours, and providing an additional day of annual leave. The background highlights the impact of the cost of living

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Optimization in process engineering involves obtaining the best possible solution for a given process by minimizing or maximizing a specific performance criterion while considering various constraints. This process is crucial for achieving improved yields, reducing pollutants, energy consumption, an

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The RRSS Campaign aims to tackle healthcare challenges affecting rural seniors, funded by the Patient-Centered Outcomes Research Institute. With a focus on rural healthcare crisis, the initiative led by the National Grange Convention emphasizes the importance of supporting seniors in their homes. Hi

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The Birmingham campaign, led by Dr. Martin Luther King Jr. and the SCLC, was a pivotal moment in the civil rights movement, aiming to end racial inequality through nonviolent protests and peaceful demonstrations. The efforts led to significant progress in desegregating public facilities and promotin

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The "Hear Well at Work" campaign targets professionals aiming to improve hearing in work and social environments. By utilizing Phonak Roger technology, clients can actively engage in meetings, reduce listening fatigue, and focus on work rather than hearing. The campaign aims to create awareness of t

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Explore the detailed process of handling delinquent and defective campaign finance reports, audits, enforcement proceedings, and penalties as presented at the Indiana Election Administrators Conference. Learn about the actions required for late reports, defective filings, and the steps involved in e

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Swarm Intelligence (SI) is an artificial intelligence technique inspired by collective behavior in nature, where decentralized agents interact to achieve goals. Swarms are loosely structured groups of interacting agents that exhibit collective behavior. Examples include ant colonies, flocking birds,

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The DNN Inference Optimization Challenge, organized by Liya Yuan from ZTE, focuses on optimizing deep neural network (DNN) models for efficient inference on-device, at the edge, and in the cloud. The challenge addresses the need for high accuracy while minimizing data center consumption and inferenc

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The Love The Journey campaign Toolkit 1 provides insights into forthcoming global activity, aiding in planning additional regional campaigns. The toolkit consists of various assets, including execution, localization, and reporting plans, along with insights packs and client request templates. Recent

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The Winter Campaign 2019 Membership Growth at YMCA of Metropolitan Milwaukee saw positive trends and key drivers contributing to revenue and unit growth. The campaign focused on Better Together initiatives, Financial Assistance, Cause Driven Tours, and Lead Generation strategies. Membership marketin

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Discrete Optimization is a field of applied mathematics that uses techniques from combinatorics, graph theory, linear programming, and algorithms to solve optimization problems over discrete structures. This involves creating mathematical models, defining objective functions, decision variables, and

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This study delves into the generalization of Empirical Risk Minimization (ERM) in stochastic convex optimization, focusing on minimizing true objective functions while considering generalization errors. It explores the application of ERM in machine learning and statistics, particularly in supervised

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Explore the world of optimization through convex and general problems, understanding the concepts, constraints, and the difference between convex and non-convex optimization. Discover the significance of local and global optima in solving complex optimization challenges.

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Explore the basic components of optimization problems, such as objective functions, constraints, and global vs. local optima. Learn about single vs. multiple objective functions and constrained vs. unconstrained optimization problems. Dive into the statement of optimization problems and the concept

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Aimed at raising awareness about the increasing risks of lithium battery fires, the London Fire Brigade (LFB) has initiated the #chargesafe campaign. Highlighting the dangers associated with e-bike and e-scooter fires, the campaign emphasizes key messages such as proper storage and charging practice

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The costs of campaigning for elective office in Kenya have escalated, driven by the need to win at all costs and the influx of dirty money. The Campaign Financing Act, 2013 aims to regulate campaign finances, ensure transparency, and limit the influence of money in politics. The Act seeks to create

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Recent research highlights advancements in solving sampling problems in convex optimization, exemplified by works by Yin Tat Lee and Santosh Vempala. The complexity of convex problems, such as the Minimum Cost Flow Problem and Submodular Minimization, are being unraveled through innovative formulas

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UNDP has launched the Don't Choose Extinction campaign with a comprehensive playbook and content calendar to support the initiative across social channels. The campaign includes assets, delivery schedules, platform guides, and regional alignment strategies, aiming to deliver a unified message to com

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The HSE COVID Bubbles campaign aims to visually remind people of the importance of following public health actions to prevent the spread of COVID-19. By creating a shared sense of purpose and promoting preventative behaviors as social norms, the campaign encourages everyone to take protective measur

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Update on the education and outreach campaign for scrap tire generators, detailing initiatives such as the Scrap Tire Summit, development of toolkits, and regional improvements in scrap tire management infrastructure. The campaign aims to engage stakeholders, enhance compliance with scrap tire laws,

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A comprehensive branding, public relations, and marketing campaign has been developed to help meet UW's enrollment goals by engaging and converting future UW students. The campaign effectively communicates UW's opportunities to prospective students, regional partners, and national and global markets

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This piece discusses approximation algorithms for stochastic optimization problems, focusing on modeling uncertainty in inputs, adapting to stochastic predictions, and exploring different optimization themes. It covers topics such as weakening the adversary in online stochastic optimization, two-sta

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The Influenza Vaccination Campaign in 2016 aimed to mitigate the effects of influenza by reducing morbidity and mortality, limiting virus transmission, and easing the burden on the healthcare system. The campaign was managed by a National Coordination Steering Committee, with focus on priority group

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Discover the essential elements of a campaign plan, from budgeting and fundraising to direct voter contact and communications. Learn the significance of setting specific goals, strategies, and timelines to manage campaign priorities effectively and allocate limited resources wisely. Gain insights on

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The Tampa Bay Summer Campaign achieved a marketing efficiency of 33.7%, reaching 1.3 million households with a low cost per aware household. The campaign resulted in $15.7 million in incremental travel spending and 25.9k incremental trips, with a gross ROI of $96. Visitation to Tampa Bay increased p

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Biennial Conference of the Commonwealth Electoral Network 2016 in Port of Spain, Trinidad discussed the importance of regulating campaign finance to prevent negative influences on elections. The key issues, opportunities, challenges, and implementation strategies were highlighted to create an effect

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Real-world design problems often require multi-objective optimization, and the Flower Pollination Algorithm (FPA) developed by Xin-She Yang in 2012 mimics the pollination process of flowering plants to efficiently solve such optimization tasks. FPA has shown promising results in extending to multi-o

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This research presents a hybrid optimization heuristic approach for efficient instruction scheduling in programmable accelerator codesign. It discusses Google's TPU architecture, problem-solving strategies, and computation graph mapping, routing, and timing optimizations. The technique overview high

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This presentation discusses the application of machine learning for optimizing EBIS beam intensity and RHIC luminosity. It covers topics such as motivation, EBIS beam intensity optimization, luminosity optimization, and outlines the plan and summary of the project. Collaborators from MSU, LBNL, and

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Bayesian optimization is being used at LCLS to tune the Free Electron Laser (FEL) pulse energy efficiently. The current approach involves a tradeoff between human optimization and numerical optimization methods, with Gaussian processes providing a probabilistic model for tuning strategies. Prior mea

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The campaign "Ich bewege mich, mir geht es gut" aims to promote active ageing by encouraging physical activity in public areas. Initiated by LZG Landeszentrale für Gesundheitsförderung and supported by the Rheinhessischer Turnerbund, the campaign focuses on engaging elderly individuals in various

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The evolution of metalearning in the machine learning community is traced from the initial workshop in 1998 to recent developments in hyper-parameter optimization. Challenges in classifier selection and the validity of hyper-parameter optimization claims are discussed, urging the exploration of spec

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Discussing the connection between Artificial Intelligence (AI)/Machine Learning (ML) and Wireless LAN networks, this document explores how AI/ML can improve IEEE 802.11 features, enhance Wi-Fi performance through optimized data sharing, and enable network slicing for diverse application requirements

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Fast Bayesian Optimization optimizes hyperparameters for machine learning on large datasets efficiently. It involves black-box optimization using Gaussian Processes and acquisition functions. Regular Bayesian Optimization faces challenges with large datasets, but FABOLAS introduces an innovative app

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This presentation delves into the concept of price optimization in the auto insurance industry, covering actuarial, economic, and regulatory aspects. It addresses the controversy surrounding price optimization, various state definitions, concerns, and the use of sophisticated tools to quantify busin

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