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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Widen your educational horizons with the Pathway Opportunity Programme at Queen's University Belfast. This initiative aims to support first-year A-Level or Level 3 students in transitioning to higher education. By providing guidance, conditional offers, and tailored sessions, the programme encourage

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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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Explore the official prison resettlement pathway including understanding HMPPS structure, identifying risks, and development opportunities. Learn about the Ministry of Justice's role and the responsibilities of the HMPPS Area Executive Director. Discover the role of Strategic Housing Solutions (SHS)

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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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This optimal pathway aims to improve outcomes in lung cancer by reducing delays in diagnosis, staging, and treatment, while meeting waiting time targets. It emphasizes remote triage, test bundles, and efficient clinic use. The pathway includes maximum waiting times, timely treatment pathways, and gu

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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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ACRS21 Certificate Pathway offers a transferable certificate pathway from high school to university levels, focusing on soft skills and career readiness development. The program includes requirements such as leadership activities, community service, public speaking, SAE projects, and more, totaling

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The Suffolk Mental Health Supported Housing Pathway provides a range of services aiming to aid individuals in their recovery, sustain their well-being, promote social inclusion, and develop independent living skills. The pathway offers diverse support levels across various areas, with 250 beds from

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The Affinity Care Lipid Pathway outlines a systematic approach to assessing lipid/cholesterol blood results in individuals over 16 years old. It includes guidelines for managing cholesterol levels, assessing familial hypercholesterolemia, and determining appropriate medication options based on indiv

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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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The ECHo Pathway outlines a structured approach for providing intensive and responsive support to families in need. It involves various stages such as intake, developing support plans, weekly triage meetings, joint visits with workers and social workers, family therapist input, MDT collaboration, an

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A study presented at the BASHH Conference in Oxford 2016 explores the use and appeal of the Online Chlamydia Pathway, an innovative approach to remote clinical management of chlamydia. Developed by the eSTI2 Consortium, this online pathway offers accessible and automated care for individuals diagnos

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The case study delves into Paul's journey with diabetes, comparing the outcomes of a sub-optimal pathway with an optimal one. Paul's initial struggles with diabetes management led to severe consequences in the sub-optimal pathway, emphasizing the importance of early intervention and improved care co

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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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Dr. Louise Brown from North Manchester General Hospital leads the development of a prehab pathway for lung cancer patients in the NE sector. The project aims to enhance patient outcomes through pre-surgical preparation, addressing challenges such as frailty, deprivation, and lack of access to assess

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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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Aging regulation in eukaryotic organisms, particularly in Caenorhabditis elegans, is studied through the Insulin/Insulin-like Growth Factor-1 Signaling pathway. This research focuses on understanding how transcription factors DAF-16 and SKN-1 may act together to promote longevity by reducing the IIS

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This document outlines the North Yorkshire Alcohol Pathway Edition 3, reviewed in October 2018 based on NICE guidelines. It provides detailed steps for assessing alcohol consumption patterns, risk levels, and appropriate interventions for individuals of different age groups. Urgent responses and ref

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Orthoptists in Wales collaborated to create a standardized vision screening pathway for children aged 4-5 years to ensure equitable and effective service delivery. The pathway development involved consultations, evaluations, equipment purchases, and training programs for healthcare support workers a

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Health Careers Academy Pathway (H-CAP) Initiative is a collaborative program between Gateway Community College and James Hillhouse High School aimed at preparing high school students for careers in healthcare. The initiative offers a no-cost pathway for students to complete dual enrollment courses a

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This study focuses on implementing a test and treat pathway for Mycoplasma Genitalium (MG) in men with Non-Specific Urethritis (NSU) attending a GUM clinic. The aim is to determine MG prevalence among men diagnosed with NSU and measure clearance rates post-treatment. The testing pathway involves tre

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The Pentose Phosphate Pathway, also known as the Hexose Monophosphate shunt, is an alternative route for glucose metabolism that plays a crucial role in NADPH synthesis, fatty acid production, antioxidant activity, and nucleotide formation. This pathway involves oxidative and non-oxidative phases, r

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Explore the structured Squash Player Development Pathway from Active Start to Training to Win, focusing on skill progression, specialization, and lifelong participation. The pathway emphasizes fundamental movement skills, sport-specific training, and maximizing squash skills at each stage, ultimatel

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The Neurodevelopmental Assessment Team in NHS Dumfries and Galloway worked on redesigning their assessment process to reduce costs and waiting times for children and families. Collaborating with families and stakeholders, they streamlined the pathway, improved diagnoses, and enhanced the overall exp

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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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Investigating how transcription factors DAF-16 and SKN-1 regulate aging in the IIS pathway of C. elegans can provide valuable insights into longevity and stress resistance. This study explores the molecular mechanisms involved in promoting longevity and controlling gene expression during the down-re

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The North Bristol Quality Improvement Team is focused on achieving more transplants in less time with a better experience through their Living Kidney Donation (LKD) pathway. They aim to streamline the pathway, reducing visits and increasing transplant rates. Initiatives include nurse-led triage appo

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Explore the comprehensive post-secondary pathway offered by Burlington Soccer Club in 2021, including player pathway, resources, technical staff support, and club equipment. The program provides opportunities for exposure, competition, and showcases in the US and Canada, along with SAT test preparat

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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 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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The proposed changes aim to create a clear and fair career progression pathway for Engineers within the FND organization, focusing on skills development, customer service enhancement, and ensuring equitable opportunities for advancement. The impact assessment shows potential uplifting of engineers t

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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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