1,722,927 research outputs found

    REFERENCES_FOR_TABLES – Supplemental material for Therapeutic inertia in type 2 diabetes: prevalence, causes, consequences and methods to overcome inertia

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    Supplemental material, REFERENCES_FOR_TABLES for Therapeutic inertia in type 2 diabetes: prevalence, causes, consequences and methods to overcome inertia by Sachin Khunti, Kamlesh Khunti and Samuel Seidu in Therapeutic Advances in Endocrinology and Metabolism</p

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    The role of testing in infectious disease control: A case of COVID-19 in Africa

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    Seidu A-A, Hagan Junior JE, Ameyaw EK, Ahinkorah BO, Schack T. The role of testing in infectious disease control: A case of COVID-19 in Africa. International Journal of Infectious Diseases. 2020:1-15

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Africa’s COVID-19 situation in focus and recent happenings: A mini review.

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    Hagan Jr. JE, Ahinkorah BO, Seidu AA, Ameyaw EK, Schack T. Africa’s COVID-19 situation in focus and recent happenings: A mini review. Frontiers in Public Health. 2020;8:1-8

    Computational Risk Analysis for Digitizing Sustainable Urban Water Supply Systems

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    The movement of global urbanization is severely challenging many aspects of our modem lives, especially after the 1960s. To address these spawned problems, in 2015, the United Nations published a series of Sustainable Development Goals (SDGs ), including 17 topics as general visions for a higher level of human wellbeing. The implementation of these goals heavily relies on the urban infrastructures which have unfortunately become obsolete and deprecated due to long-time usage. Urban Water Supply Systems especially need the most urgent attention. The motivations of this thesis stem from practical demands in the digitization process of Norwegian urban water supply systems. These systems aim to bring sufficient, safe, and sustainable water resources for urban activities. However, risks come from many aspects. The potential dangers in the complex supply process become increasingly difficult to evaluate and predict. This thesis aims to study and develop information knowledge and technologies for systematic and sustainable risk detection and control in the context of digitizing the aging urban water supply systems. The first research question is to build a digitized urban water supply system architecture concerning sustainable development goals. This thesis proposes a novel 5-layer architecture based on Cyber-Physical Systems to integrate a data-driven framework across the water supply process and realize the transformation between data, information, and knowledge domains. Additionally, a loop working mechanism from sustainable objective settings to concrete water supply indicators’ control and feedback information flow is constructed to reflect the relationship among new architecture, goals, and system implementation. Furthermore, we construct a computational risk evaluation model considering influential indicators, system objectives, and constraints in the urban water supply. In this thesis, a systematic analysis was conducted to build different quantity, quality and sustainability indices with respect to domain and empirical knowledge and data collection feasibility. Moreover, correlation analysis methods are employed to formulate a tensor-based risk model. Besides, the thesis aims to support early warnings in the water supply system by introducing a data-driven risk analysis and prediction scheme. This scheme covers the whole process from raw data collection to final output. For risk prediction, this work investigates the current historical records and the data quality constraints. In addition, the spatial-temporal, frequency features of risks, and collaborative analysis methods are taken into account for a better prediction performance. Finally, to verify the proposed architecture and methods, this thesis looks into several industrial urban water supply systems in Norwegian municipalities, including Oslo, Bergen, Strjllmmen, and Alesund and experiment the proposed framework and methods on the real data and perform analysis thoroughly, in a close collaboration with a water engineering research group led by the Co-supervisor Razak Seidu. A practical prototype platform is implemented and deployed as the preliminary service in the local Alesund city management
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