177,495 research outputs found

    Managing and evaluating different projects in a hospital trough the analytic hierarchy process: Methodology and test case

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    Nowadays hospitals work in the context with decreasing resources over time, and unfortunately not all the projects can be implemented. For this reasons healthcare area needs tool to decide on which project invest. The current paper has been developed in one of the major hospital in Genoa (Italy): Galliera. The Galliera hospital has a board of directors who need to know the sustainability of the projects. The aim of this paper is to implement a method to measure in a quantitative way the projects sustainability, with an innovative application of the Analytic Hierarchical Process (AHP). This method allows to compare the quantitative and qualitative items of the projects at the same time. These projects are extremely heterogeneous. The authors involved also all the employees having a strategic position in the hospital determining in this way the success of the work as the results show

    A state of the art of digital twin and simulation supported by data mining in the healthcare sector

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    Healthcare and more precisely private hospitals are critical and complex environments where making appropriate decisions is vital. For this reason, they are widely studied in many fields. This paper aims to provide the current state of the art of Digital Twin and/or Simulation involved in Decision Support System (DSS) whose data are processed through Data Mining techniques applied in the healthcare sector. In this view, the authors' research has been based on the following keywords: Healthcare, Hospital, Digital Twin, Simulation, Data Mining and Decision Support System. Doing so, it has been possible to gather 13 papers which have been carefully studied

    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

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    Cost Allocation in a Bank ATM Network

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    We consider a situation in which a group of banks consider connecting their Automated TellerMachines (ATMs) in a network, so that the banks customers may use ATMs of any bank in the network.The problem studied is that of allocating the total transaction costs arising in the network, among the participating banks.The situation is modeled as a cooperative game with transferable utility. We propose two allocation rules, and discuss their relation to the core and other well-known solution concepts, as well as to population monotonicity.cost allocation;banks;networks;transaction costs

    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
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