271 research outputs found

    Event and Actors Representation in Selected Nigerian Daily Newspapers

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    The 2011 Nigerian presidential election newspaper reports were not just to inform the public about the outcomes of the election. The representations in the newspaper reports were ideological and, by implication, judgmental. The main actors (presidential aspirants), were also represented differently. In this paper, we interrogate some linguistic tools that were used in the ideological presentation of the election and the main social actors. In other words, the paper examines whether the main social actors are included or excluded, genericised or specified; and the level of voice projection accorded to them. The study is anchored on Critical Discourse Analysis framework and it operationalises some aspects of van Leeuwen (2008) socio-semantic model and Hallidayan transitivity system in examining social actor differential representations and process types in the newspaper reports. These linguistic tools (exclusion, inclusion, individualization, assimilation, collectivization, functionalisation, appraisement and voice projection) are very pertinent because they serve as the very foundation on which further context analysis of the discourse could be based. The study observes that social actors representations and voice projection in the data do not only polarize the reportage but also lace it with bias. It also shows that the incumbent president was given more positive representation and voice projection than other aspirants

    Progenitor cell dynamics in the newt telencephalon during homeostasis and neuronal regeneration

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    Acknowledgments: We would like to thank E. Andersson and U. Lendahl for providing reagents and for helpful discussions. This work was supported by grants from AFA Insurances, Cancerfonden, Swedish Research Council, and European Research Council to A.S. M.K. was supported by a HFSPO postdoc fellowship.Peer reviewedPublisher PD

    A smart building semantic platform to enable data re-use in energy analytics applications: the Data Clearing House

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    Systems in the built environment continuously emit time series data about resource usage (e.g., energy and water), embedded electrical generation/storage, status of equipment, patterns of building occupancy, and readings from IoT sensors. This presents opportunities for new analytics and supervisory control applications that help reduce greenhouse gas emissions due to energy demand, if the barrier of data heterogeneity can be overcome. Semantic models of buildings -- representing structure, integrated equipment, and the many internal connections -- can help achieve interoperable data re-use by describing overall context, in addition to metadata. In this paper, we describe the Data Clearing House (DCH), a semantic building platform that hosts sensor data, building models, and analytics applications. This fulfills the key phases in the lifecycle of semantic building data, which includes: cost-effective ingestion of Building Management System (BMS), IoT, metering and meteorological time series data from a wide range of open and proprietary systems; importing and validating semantic models of sites and buildings using the Brick Schema; interacting with a discovery API via a high-level domain-specific query language; and deploying applications to modelled buildings. Having onboarded multiple buildings belonging to our own organisation and external partners, we are able to comment on the challenges to success of this approach. As an example use-case of the semantic building platform, we describe a measurement and verification (M&V) application implementing the 'whole facility' (Option C) method of the International Performance Measurement and Verification Protocol (IPMVP) for evaluating electrical metering data. This compares energy consumption between nominated baseline and analysis time periods, to quantify the energy savings achieved after implementing an intervention on a site.Comment: 13 pages, 4 figures. Accepted for presentation at Climate Smart Engineering 2023 (CSE23

    Rapid cross-linking of epoxy thermosets induced by solvate ionic liquids

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    The high-volume manufacture of fiber-reinforced composites faces a huge challenge because long resin curing times put a low ceiling on the total output of parts produced per year. To translate the benefits from using epoxy in large-volume production platforms, cure cycle times of less than 1 min must be achieved. In this work, we report solvate ionic liquids (SILs) as simple and efficient rapid curing catalytic additives in epoxy systems. Ultrafast curing was observed at low levels of 1-5% of SIL in epoxy resin, and the cure rate is enhanced up to 26-fold without compromising the mechanical and thermal properties. Further investigations revealed that enhancement in the cure rate is dependent on the type of SILs employed, influenced by the metal center, the ligands around the metal, and the identity of the counter anion. The relative Lewis acidity of each of the active complexes was calculated, and the rapid cure effect was attributed to the activation of the epoxide moietyviathe Lewis acidic nature of the SIL. Making epoxy thermosets rapidly processable enables enormous benefits, finding applications in a whole variety of transformation methods that exist for traditional glass and metals. Copyright © 2020 American Chemical Societ

    Rapid cross-linking of epoxy thermosets induced by solvate ionic liquids

    Get PDF
    The high-volume manufacture of fiber-reinforced composites faces a huge challenge because long resin curing times put a low ceiling on the total output of parts produced per year. To translate the benefits from using epoxy in large-volume production platforms, cure cycle times of less than 1 min must be achieved. In this work, we report solvate ionic liquids (SILs) as simple and efficient rapid curing catalytic additives in epoxy systems. Ultrafast curing was observed at low levels of 1-5% of SIL in epoxy resin, and the cure rate is enhanced up to 26-fold without compromising the mechanical and thermal properties. Further investigations revealed that enhancement in the cure rate is dependent on the type of SILs employed, influenced by the metal center, the ligands around the metal, and the identity of the counter anion. The relative Lewis acidity of each of the active complexes was calculated, and the rapid cure effect was attributed to the activation of the epoxide moietyviathe Lewis acidic nature of the SIL. Making epoxy thermosets rapidly processable enables enormous benefits, finding applications in a whole variety of transformation methods that exist for traditional glass and metals. Copyright © 2020 American Chemical Societ

    Clinical Laboratory Testing Practices in Diffuse Gliomas Prior to Publication of 2021 World Health Organization Classification of Central Nervous System Tumors

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    CONTEXT.—: Integration of molecular data into glioma classification supports diagnostic, prognostic, and therapeutic decision-making; however, testing practices for these informative biomarkers in clinical laboratories remain unclear. OBJECTIVE.—: To examine the prevalence of molecular testing for clinically relevant biomarkers in adult and pediatric gliomas through review of a College of American Pathologists proficiency testing survey prior to the release of the 2021 World Health Organization Classification of Central Nervous System Tumors. DESIGN.—: College of American Pathologists proficiency testing 2020 survey results from 96 laboratories performing molecular testing for diffuse gliomas were used to determine the use of testing for molecular biomarkers in gliomas. RESULTS.—: The data provide perspective into the testing practices for diffuse gliomas from a broad group of clinical laboratories in 2020. More than 98% of participating laboratories perform testing for glioma biomarkers recognized as diagnostic for specific subtypes, including IDH. More than 60% of laboratories also use molecular markers to differentiate between astrocytic and oligodendroglial lineage tumors, with some laboratories providing more comprehensive analyses, including prognostic biomarkers, such as CDKN2A/B homozygous deletions. Almost all laboratories test for MGMT promoter methylation to identify patients with an increased likelihood of responding to temozolomide. CONCLUSIONS.—: These findings highlight the state of molecular testing in 2020 for the diagnosis and classification of diffuse gliomas at large academic medical centers. The findings show that comprehensive molecular testing is not universal across clinical laboratories and highlight the gaps between laboratory practices in 2020 and the recommendations in the 2021 World Health Organization Classification of Central Nervous System Tumors
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