This workshop, presented by Dr. Christine R. Wells from UCLA, provides an in-depth exploration of meta-analysis in Stata. Participants will learn about systematic reviews, data collection and organization, running meta-analyses, interpreting results, creating graphs, and identifying biases. The focu

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Explore interactive Shiny apps presented by Nicola Cooper and team for conducting meta-analysis of diagnostic test accuracy data with a point-and-click interface. Find educational primers, principles, and tools to enhance evidence synthesis methods and visualization in healthcare.

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Substituents in benzene derivatives influence reactivity and orientation in electrophilic substitution reactions. They can be classified as ortho-para directing or meta directing based on their effect. Ortho-para directing groups increase electron density and activate the ring, while meta directing

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Explore three-level meta-analysis models in R with a focus on the association between paternal anxiety and child emotional problems. Learn to prepare data files, fit models using the rma.mv function in metafor, and understand the structure of the formula for random effects. Follow along with a step-

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Explore the importance of systematic reviews, critical appraisal questions, meta-analysis, and clinical practice guidelines in the healthcare field. Learn about the process of appraising systematic reviews, the significance of meta-analysis, and the benefits of following clinical practice guidelines

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Meta-ethics delves into the nature and validity of ethical statements, examining the meaning of right and wrong and the basis for moral claims. It explores distinctions between descriptive and normative ethics, cognitive and non-cognitive perspectives, and various ethical approaches such as naturali

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This meta-analysis command, Admetan, introduced by David Fisher from MRC Clinical Trials Unit at UCL, offers a comprehensive analysis of combining results from independent studies. It builds on the history of meta-analysis in Stata and aims to enhance capabilities for researchers. Admetan provides f

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Meta-analysis in GWAS involves combining data across studies to estimate overall effects, explore cohort differences, improve power, and replicate findings. It includes joint vs. meta-analysis, methods, and types such as fixed effect and random effect meta-analyses.

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Need for improved semantic analysis of clinical narratives for information retrieval and decision support is addressed through the use of complex knowledge graphs. These graphs capture axiomatic descriptions of generalizable truths about entities in the medical domain, providing a language-independe

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This meta-evaluation study explores the impact of access to finance and farmer/business training interventions on agribusiness indicators. It discusses the methodologies used in evaluations, highlighting the use of randomized control trials and quasi-experimental methods. Findings provide insights i

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The investigation findings reveal Meta's failure to address hate speech and incitement against the Rohingya people on Facebook, resulting in a platform that amplified and promoted harmful content. Despite admitting in 2018 that more needed to be done, Meta's business model of data collection and eng

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This study introduces WEB-SOBA, a method for semi-automatically building ontologies using word embeddings for aspect-based sentiment analysis. With the growing importance of online reviews, the focus is on sentiment mining to extract insights from consumer feedback. The motivation behind the researc

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This academic exploration delves into the concept of relational ontology and its methodological implications in knowledge production, focusing on the ownership of ideas and the role of intellectuals as knowledge producers. It discusses the foundational singularity, the generative significance of con

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Growing importance of online reviews highlights the need for automation in sentiment mining. Aspect-Based Sentiment Analysis (ABSA) focuses on detecting sentiments expressed in product reviews, with a specific emphasis on sentence-level analysis. The proposed approach, Deep Contextual Word Embedding

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Explore the world of meta-programming in Haskell through splices and quotations. Learn about successful extensions introduced by Simon Peyton Jones and Tim Sheard, including practical examples like generating source code using splices that are type-checked and compiled at compile time. Dive into con

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System Architecture Working Group (SAWG) is restarting to refresh the CCSDS Reference Architecture for CMC. The motivation stems from the need to update the outdated RASDS and align it with evolving standards and projects. The plan includes incorporating operational, physical, and service viewpoints

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IDRA (Inductive Deductive Reasoning Architecture) presents a comprehensive framework for ontology learning, focusing on data modeling and architecture components. ETL (Extract Transform Load) processes play a vital role in semantic enhancement of data, especially in identity and access governance co

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Ontology plays a crucial role in the development of systems for DoT by facilitating the automation of tasks, improving consistency, and enhancing the efficiency of tool chains. It enables the transformation of semantic descriptions into algorithms, streamlining processes and reducing the need for ma

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This meta-analysis explores the relationship between attributes, perceptions, satisfaction, and loyalty in the convention industry. It highlights key findings from multiple studies using statistical methods to analyze attendee satisfaction and loyalty factors. The study emphasizes the importance of

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Prof. Enrico Motta discusses the limitations of current ontology engineering tools, emphasizing the need for better support for creating ontological specifications. The lack of tools that offer a knowledge-level perspective and assist in sensemaking, navigation, and identifying relevant definitions

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Funnel plots in meta-analysis help assess distribution symmetry, heterogeneity, and publication bias. The trim and fill analysis with Metafor in R examines data transformations, imputes missing values, and performs sensitivity analysis through re-computing funnel plots.

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Conceptually, I-squared represents the proportion of total variation due to true differences between studies, while Proportion of total variance is due to random effects. Prediction intervals provide a range where study outcomes are expected, unlike confidence intervals which contain the parameter's

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Motivated by the increasing number of online product reviews, this research explores automation in sentiment mining through Aspect-Based Sentiment Analysis (ABSA). The focus is on sentiment detection for aspects at the review level, using a hybrid approach that combines ontology-based reasoning and

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Ontology "BabyDayOut" is developed using RDF/RDFS to describe a picture. It includes classes such as Person, Animal, Baby, Picture, Man, and Gorilla with instances like John, KingKong, Jack, Peter, and Alex. Various relations like hasFriend, hasAnimalFriend, sonOf, depicts, hasEnemy, and hasTitle ar

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Governance research perspective discusses the evolving role of the state in mobilizing public and private actors through interactive forms of governance. Meta-governance theory emphasizes the governance of governance, with a focus on interactive governance arenas. Recent theories of political leader

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Building on the need for automation due to the increasing volume and significance of online reviews, SASOBUS focuses on Aspect-Based Sentiment Analysis (ABSA). The motivation behind SASOBUS lies in the growth of sentiment mining for product reviews, particularly at the sentence level. Its approach i

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Ontologies provide a general representation of reality, but knowledge is mostly context-dependent. Analyzing different types of contexts, from linguistic to manufacturing, remains a challenge. This study aims to deepen the understanding of the ontological nature of contexts by leveraging a meta-onto

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The research discusses methods for hierarchical classification of entities into incomplete ontologies. It explores the challenges of evolving web-scale datasets and the need for classifying entities in an incomplete ontology structure. The Hierarchical Exploratory EM model is detailed, providing ins

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Delve deep into the intricacies of OWL, a powerful ontology language designed for instance classification, consistency checking, and subsumption reasoning. Explore its features, versions, species, and trade-offs between expressiveness and reasoning complexity.

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Web Ontology Language (OWL) is a powerful tool for ontology modeling, allowing the creation of complex structures and relationships. OWL encompasses entities, expressions, and properties, enabling detailed descriptions of domains through axioms. The language supports both object and data properties,

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Explore the world of developing OWL ontologies with Protégé 4 through a comprehensive tutorial by Simon Jupp and Timothy Redmond from Stanford Centre for Biomedical Research and the University of Manchester. Learn about OWL introduction, Protégé 4 interface, compositional approach, and the signi

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Ontology is the study of existence, with applications in various fields like philosophy, linguistics, and computer science. In computer science, an ontology is an engineering artifact that defines a specific vocabulary to describe a domain, along with explicit assumptions about the vocabulary's inte

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Exploring the world of ISO/IEC standards and formal ontologies as presented by Alan Ruttenberg and Barry Smith at JOWO Graz in 2019. The slides cover topics such as basic formal ontology, connectors, domain ontologies, top-level ontologies, and the requirements for being a top-level ontology. ISO/IE

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Delve into the world of ontology with this quiz featuring questions on computational complexity, mereology, standardization of OWL, and foundational ontologies. Test your understanding on topics such as first-order predicate logic, parthood in mereology, and more. Challenge yourself and expand your

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Delve into the fascinating realm of relational ontology, where concepts like the nature of existence, the essence of things, and the interconnectedness of all are dissected. From traditional Western perspectives to Eastern philosophies, this exploration challenges conventional views on reality, emph

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Enhancing meta-skills such as focusing, initiative, integrity, adapting, collaborating, leading, communicating, and feeling is crucial for personal development. These skills enable individuals to maintain concentration, make confident decisions, uphold ethical values, embrace change, build relations

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Explore the innovative framework proposed by Sareh Nabi at the University of Washington for Bayesian meta-prior learning using empirical Bayes. The framework aims to optimize ad layout and classification problems efficiently by decoupling learning rates of model parameters. Learn about the Multi-Arm

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Ontologies are dynamic entities that evolve over time, impacting semantically-enabled applications and knowledge acquisition. This work focuses on identifying desired functionalities for ontology evolution systems, highlighting the steps involved in ontology evolution, and emphasizing the importance

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This topic delves into the use of Critical Realism as a framework to develop knowledge about the social world, combining conceptual parts to bridge theoretical gaps and critique existing theories. It discusses ontological commitments, realist ontology, meta-theory, and domain-specific theories, emph

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Semantic Tool for the Protection of Personal Information Act is a project led by Yahlieel Jafta, aiming to establish a knowledge base using ontology to assist individuals and organizations in interpreting the Act. The project focuses on the importance of ontologies in extending knowledge and enablin

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