High Potent Medicines Conference - EU Edition-22nd - 24th May 2024
We are delighted to announce our 9th Annual MarketsandMarkets High Potent Medicines Conference, scheduled on 22nd - 24th May 2024, in Milan, Italy. This conference will evidence the presence of some great minds in the Medical and Pharmaceutical industry bringing you the solutions to the challenges f
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Enhancing Scalability and Performance in Deep Recommendation Systems with EVStore
EVStore presents a novel approach to scaling embedding tables in deep recommendation systems, offering a three-layer caching system that optimizes storage and caching capabilities. By leveraging groupability-aware caching, mixed-precision caching, and embedding approximation, EVStore achieves lighte
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Programmatic items
The programmatic items for the INFCOM-3 Information Session include considerations of WMO Programmes relevant to the Commission, work programmes for the next intersessional period, and subsidiary bodies. Highlighted is the draft Recommendation 5/1 on the Expanded World Weather Watch Programme and th
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Probiotics Conference | 24th - 25th October 2024 | UK
The MarketsandMarkets Probiotics Conference invites you to explore the cutting edge of healthcare on October 24th-25th in London, UK. Delve into the complexities of the human microbiome's influence on health and the environment. \n\nRegister Now @ \/\/events.marketsandmarkets.com\/probiotics-confere
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Clinical Update on Management of Spontaneous Intracerebral Hemorrhage
This clinical update, adapted from the 2022 guideline by the American Heart Association and American Stroke Association, covers a comprehensive range of topics related to the management of patients with spontaneous intracerebral hemorrhage. It includes information on population health implications,
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Leveraging Massive Data for Enhanced Recommendations
The slides provide valuable insights into utilizing massive datasets for improving recommendation systems. Topics covered include high-dimensional data, customer behavior analysis, examples of application in search and recommendations, scarcity to abundance in retail, and the importance of recommend
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Understanding Policy-Making Process for Health Improvement
Policy-making involves defining policy, recognizing its complex nature, identifying windows of opportunity, and framing health issues. The policy-making cycle includes stages like agenda setting, formulation, and implementation. Alignment of problems, policies, and politics is crucial for effective
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Effective Writing and Policy Briefs: Enhancing Impact in Policy-making
A policy brief is a compelling document designed to influence decision-makers by outlining policy alternatives and courses of action. Discover the value of policy briefs, effective characteristics, and strategies for agenda setting and policy formulation in this comprehensive module.
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Understanding Theories of the Policy Cycle in Policy Analysis
The policy cycle theory describes the evolution of policy issues from inception to evaluation, impacting scientific research and policy formulation. It outlines stages from the 1950s, influenced by Lasswell's seven-stage model, serving as a framework for organizing policy processes. Despite the line
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NIA Conference Hosting Panel: Advisory Committee Responsibilities
The Conference Advisory Committee of NIA plays a crucial role in bidding on and facilitating conferences such as the NIA Spring Conference, NIA Big Book Conference, and Illinois State Conference. The committee, consisting of 4 members and the Alternate Area Chair, serves a 4-year rotating term to en
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Developing Breastfeeding Friendly Policy Recommendations
Developing a Breastfeeding Friendly (BBF) Policy involves prioritizing key actions, assessing recommendation effectiveness, affordability, and feasibility. The process includes meetings to identify priority recommendations and propose actions accordingly. Key recommendations, accompanied by proposed
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Gardening Conference and Training Events 2015
The timeline outlines the process of hiring a new coordinator and upcoming gardening events, including Epcot activities, speaker topics, and a training conference in October. There are details about the positions, interview schedules, and key people involved. The event highlights various gardening t
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Mastering the Art of Writing Effective Recommendation Letters
Understanding the importance and impact of recommendation letters in various contexts such as academic applications, job opportunities, promotions, and awards nominations. Guidelines on whom to write letters for and the reasons behind writing them. Emphasizes maintaining integrity and providing accu
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General Conference Preparation Guide
Welcome to the General Conference! Get ready for an insightful event with Bishop Gregory G. M. Ingram Sr., Bishop John Richard Bryant, and Bishop Samuel Lawrence Green Sr. Learn about pre-conference events, traveling tips, arriving in Philadelphia, and conference housing details. Prepare for a smoot
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Challenges in Policy Implementation and Lessons Learned
The content discusses the challenges faced in policy implementation, focusing on the gap between policy design and execution. It highlights key steps in policy-making, reasons for implementation failures, and factors influencing successful policy outcomes. Examples from Zambia's National Science and
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Delegates Feedback for NZDSN Conference 2024
Delegates provided feedback on the pre-conference registration process, speakers/presenters, and the length of conference sessions for the NZDSN Delegate Conference 2024. The responses showed varying levels of satisfaction with the registration process and speakers, with most finding the length of s
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User-Centric Parameters for Call Handling in Cellular Mobile Voice Service
The ITU Regional Standardization Forum for Africa held in Kampala, Uganda in June 2014 introduced ITU-T Recommendation E.807, focusing on the definitions and measurement methods of user-centric parameters for call handling in cellular mobile voice service. The recommendation outlines five key parame
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Amazon (AMZN) - Overview, Growth Drivers, Risks, and Stock Recommendation
Amazon (AMZN) is a global e-commerce and cloud computing giant, known for its strong growth potential in segments like AWS and advertising. The company, founded in 1994, has diversified revenue streams and focuses on disruptive innovation. However, it faces stiff competition, profit uncertainty due
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Tips for Obtaining Great Letters of Recommendation
Learn the strategies for obtaining strong letters of recommendation for scholarships and job applications. Discover the difference between good and outstanding letters, network effectively, and make compelling requests to enhance your chances of success.
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Explainable Recommendation Using Attentive Multi-View Learning
The research presented at the 33rd AAAI Conference on Artificial Intelligence focuses on developing an explainable deep model for recommendation systems. It addresses challenges in extracting explicit features from noisy data and proposes a Deep Explicit Attentive Multi-View Learning Model. This mod
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Collaborative Bayesian Filtering in Online Recommendation Systems
COBAFI: COLLABORATIVE BAYESIAN FILTERING is a model developed by Alex Beutel and collaborators to predict user preferences in online recommendation systems. The model aims to fit user ratings data, understand user behavior, and detect spam. It utilizes Bayesian probabilistic matrix factorization and
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Theories and Strategies for Effective Policy Change
Explore the intricacies of strategic planning, outcome mapping, change theories, policy windows, and more in the realm of policy entrepreneurship and advocacy. Learn about key concepts such as large leaps theory, policy streams theory, and how think tanks can influence policy decision-making process
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Denoising-Oriented Deep Hierarchical Reinforcement Learning for Next-basket Recommendation
This research paper presents a novel approach, HRL4Ba, for Next-basket Recommendation (NBR) by addressing the challenge of guiding recommendations based on historical baskets that may contain noise products. The proposed Hierarchical Reinforcement Learning framework incorporates dynamic context mode
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EU-CERT Transnational Partner Meeting and Final Policy Recommendation Conference
The EU-CERT project is organizing a Transnational Partner Meeting (TPM5) in Paderborn, Germany, followed by the Final Policy Recommendation Conference in March 2024. The dissemination activities include social media posts, printed materials, articles, and face-to-face meetings to promote the project
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Program Recommendation Process (LARC)
Request a Labor Market Information (LMI) report to initiate the Program Recommendation Process. Fill out the SMC LMI form, gather Industry Advisory Board minutes, and submit the program application with required documentation for approval by the Academic Senate and Regional Consortium. Follow specif
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EU-CERT: European Certificates and Accreditation for European Projects
The EU-CERT project involves European Certificates and Accreditation for European Projects, with upcoming events like the Transnational Partner Meeting (TPM5) in Paderborn, Germany, and the Final Policy Recommendation Conference in March 2024. The accreditation website tool and related information a
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Denoising-Guided Deep Reinforcement Learning for Social Recommendation
This research introduces a Denoising-Guided Deep Reinforcement Learning framework, DRL4So, for enhancing social recommendation systems. By automatically masking noise from social friends to improve recommendation performance, this framework focuses on maximizing the positive utility of social denois
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Morality in UK Drug Policy: Policy Constellations Analysis
Morality plays a significant role in shaping drug policy in the UK, as revealed by the research conducted by Professor Alex Stevens at the University of Kent. The study investigates the moral commitments underlying different policy positions in UK drug policy debates, highlighting five ethico-politi
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Mastering the Art of Writing Effective Letters of Recommendation
Uncover the intricacies of crafting impactful letters of recommendation for trainees with insights on responsibilities, essential features, common pitfalls to avoid, and tailoring based on performance level. Delve into the challenges faced and embrace the fantasy land of LoRs while addressing key pr
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Prevention of Bile Duct Injury during Cholecystectomy: Expert Consensus Findings
Multi-society State-of-the-Art Consensus Conference focused on strategies to prevent bile duct injuries during cholecystectomy. Work Group Five, led by Rajesh Aggarwal and Carol-Anne Moulton, explored the effectiveness of coaching surgeons in mitigating risks. Recommendation A suggests continued sur
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University Policy Update Process Overview
This document outlines the process for updating university policies, including different stages such as policy recommendations, discussions, revisions, and approvals involving various committees like the Policy Clearinghouse Committee, Academic Senate, and Union. It emphasizes the importance of revi
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Gender Bias in Academic Letters of Recommendation
Gender bias in academic letters of recommendation has been highlighted through various studies, showing disparities in the language used for male and female applicants. Female applicants often receive shorter letters with fewer standout words, more communal adjectives, and references to teaching rat
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Industrial Policy: The Old and The New - Insights by Dani Rodrik
Industrial policy, as presented by Dani Rodrik in May 2019, emphasizes the importance of empirical work, the differences between old and new policies, and the targets industrial policy should focus on. The theoretical arguments for industrial policy highlight market imperfections, learning spillover
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Enhancing Recipe Recommendations with C-KGAT Model
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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Enhancing Session-Based Recommendation with Local Invariance Model
Introducing local invariance to Session-Based Recommendation (SBR), the proposed model considers both detailed ordering and high-level session ordering. By explicitly capturing local context information and global sequential patterns, the model outperforms existing methods in predicting the next use
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ctcLink Steering Committee Peer Review Discussion & Recommendation for Gate 2 Implementation
Discussion and recommendation report for the ctcLink Steering Committee regarding Gate 2 implementation, including milestones, peer review participants, and peer evaluation rubrics summarizing the project deliverables' ratings on various aspects such as project charter, resource plan, schedule, OCM
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Understanding Policy Formulation: Key Concepts and Approaches
Policy formulation is a crucial step in the policy-making process, involving identifying and crafting policy alternatives to address various issues. This phase requires participants to define policy problems, develop alternatives, and select the most feasible solutions based on criteria such as feas
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Observations from International Drug Policy Consortium Conference
Global network promoting open debate and civil society engagement shared five policy principles at the CAMDC5 conference in Ethiopia. Highlighting the need for a change in drug policy approach, emphasizing support over punishment, and discussing the importance of measuring impacts and success criter
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ADF Scan/Copy Quality Issue Resolution Recommendation
The service recommendation provides troubleshooting steps to address ADF scan/copy quality issues on A3 Gemstone products. It advises testing scanning/printing, adjusting settings, cleaning components, and replacing parts if necessary for optimal performance.
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Efficient Keyword-Aware Travel Route Recommendation System
This presentation discusses an efficient keyword-aware travel route recommendation system that leverages user-generated content and location-based social networks to provide diversified and representative travel routes. The system aims to address the challenge of restricting users to limited query o
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