2,240 research outputs found

    Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package

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    Dynamic time warping is a popular technique for comparing time series, providing both a distance measure that is insensitive to local compression and stretches and the warping which optimally deforms one of the two input series onto the other. A variety of algorithms and constraints have been discussed in the literature. The dtw package provides an unification of them; it allows R users to compute time series alignments mixing freely a variety of continuity constraints, restriction windows, endpoints, local distance definitions, and so on. The package also provides functions for visualizing alignments and constraints using several classic diagram types.

    “And yet it moves!” An institutional analysis of the Immobili’s motion towards hybridity

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    PurposeThis paper aims to inform the discussion on why and how non-profit organizations can experience a hybridization process to address the criticism that would assume hybridity as an intrinsic characteristic of all organizations. Specifically, by referring to the academies of intellectuals as the non-profit setting in which investigating the emergence of hybridity takes place, this paper aims at exploring, first, to what extent this emergence could be induced by institutional conditions, and, second, which structural innovations could sustain the academies' "motion" towards hybridity. Design/methodology/approachThis paper relies on the institutional logics perspective and adopts the case study method applied to a historical context. The case under analysis is the Academy of "the Immobili", which, in spite of its name, experienced a hybridization process in 1720 because of the decision to involve an impresario in the management of its theatre. FindingsThe findings highlight the significant role played by institutional conditions in inducing the emergence of hybridity, even in presence of internal resistance to any "motion" from the non-profit setting. Moreover, the analysis of the innovations associated with this emergence detects the intertwined action of the different decision makers involved in the hybridization process, in spite of their formal separation. These findings strengthen the conceptualization of hybridity within non-profit organizations. Originality/valueBesides referring to a historical period that is still little explored in terms of hybridity within organizations, the paper focuses on an original context, i.e. academies, representing an ancient typology of cultural organizations. Therefore, the paper also provides the first insights into the hybridization process of cultural organizations from a historical perspective

    Towards a Formalisation of Graph Transformations in Proof Assistants

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    This paper takes first steps towards a formalization of graph transformations in a general setting of interactive theorem provers, which will form the basis for proofs of correctness of graph transformation systems. We present parts of our formalization and take a glimpse at some strategies for simplifying proof obligations

    Economics of Data Systematic Review for Planning Strategies in the InsurTech industry

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    The knowledge of data enables exploring how value is created from data. Organizations’ strategic planning becomes easier if the value of data is understood and adopted. Unless managers know how to use data, its exploitable value remains limited. Previous studies assessed either data dimensions such as volume, variety, velocity, veracity and granularity, or data management processes. However, many of these topics have been treated with a technical approach and only a few focused on the data value in management, strategy, and planning. The ubiquitous of data has allowed insurance incumbents and startups to exploit technologies, from which InsurTech, leveraging a unique data-driven proposition and often gaining a competitive advantage. The paper aims to explore the economics of data, enabling to strategically plan data management practices. It contributes to the management and strategy literature with an evidence-based systematic literature review that embraces the value generated by knowing data sources, data types, extended data dimensions, analyzes enabling technologies, and extends data management practices for reaching organizations’ objectives in the InsurTech empirical context. In addition to further avenues of research, it provides managers with a theoretical data-valorization framework for data strategic planning, and institutions an overview for guiding the digital transformation. The novelty of this paper is the comprehensive focus on the economics of data at the intersection between traditional and emerging business models.The knowledge of data enables exploring how value is created from data. Organizations’ strategic planning becomes easier if the value of data is understood and adopted. Unless managers know how to use data, its exploitable value remains limited. Previous studies assessed either data dimensions such as volume, variety, velocity, veracity and granularity, or data management processes. However, many of these topics have been treated with a technical approach and only a few focused on the data value in management, strategy, and planning. The ubiquitous of data has allowed insurance incumbents and startups to exploit technologies, from which InsurTech, leveraging a unique data-driven proposition and often gaining a competitive advantage. The paper aims to explore the economics of data, enabling to strategically plan data management practices. It contributes to the management and strategy literature with an evidence-based systematic literature review that embraces the value generated by knowing data sources, data types, extended data dimensions, analyzes enabling technologies, and extends data management practices for reaching organizations’ objectives in the InsurTech empirical context. In addition to further avenues of research, it provides managers with a theoretical data-valorization framework for data strategic planning, and institutions an overview for guiding the digital transformation. The novelty of this paper is the comprehensive focus on the economics of data at the intersection between traditional and emerging business models

    The diabetic lung: An easy target for SARS-CoV-2?

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    No abstract available

    Clinical Perspectives on the Use of Subcutaneous and Oral Formulations of Semaglutide

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    Early and effective glycemic control can prevent or delay the complications associated with type 2 diabetes (T2D). The benefits of glucagon-like peptide-1 receptor agonists (GLP-1RAs) are becoming increasingly recognized and they now feature prominently in international T2D treatment recommendations and guidelines across the disease continuum. However, despite providing effective glycemic control, weight loss, and a low risk of hypoglycemia, GLP-1RAs are currently underutilized in clinical practice. The long-acting GLP-1RA, semaglutide, is available for once-weekly injection and in a new once-daily oral formulation. Semaglutide is an advantageous choice for the treatment of T2D since it has greater efficacy in reducing glycated hemoglobin and body weight compared with other GLP-1RAs, has demonstrated benefits in reducing major adverse cardiovascular events, and has a favorable profile in special populations (e.g., patients with hepatic impairment or renal impairment). The oral formulation represents a useful option to help improve acceptance and adherence compared with injectable formulations for patients with a preference for oral therapy, and may lead to earlier and broader use of GLP-1RAs in the T2D treatment trajectory. Oral semaglutide should be taken on an empty stomach, which may influence the choice of formulation. As with most GLP-1RAs, initial dose escalation of semaglutide is required for both formulations to mitigate gastrointestinal adverse events. There are also specific dose instructions to follow with oral semaglutide to ensure sufficient gastric absorption. The evidence base surrounding the clinical use of semaglutide is being further expanded with trials investigating effects on diabetic retinopathy, cardiovascular outcomes, and on the common T2D comorbidities of obesity, chronic kidney disease, and non-alcoholic steatohepatitis. These will provide further information about whether the benefits of semaglutide extend to these other indications
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