1,721,148 research outputs found

    An OSGi middleware to enable the Sensor as a Service paradigm

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    The Internet of Things vision has recently stimulated many research efforts in different communities. The collection of diverse information produced by the proliferation of inter-connected sensing entities is one of the biggest challenge that should be adequately addressed. The huge amounts of raw data produced by IoT devices need to be structured, stored, analysed, correlated and mined in a reliable and scalable way. The size of the produced data, and the high rate at which data are being produced, suggest that we need new solutions that combine tools for data management and services capable of promptly structuring, aggregating and mining data even just at the time they are produced. In this paper we propose a middleware, to be deployed on top of physical sensors and sensor networks, capable of abstracting sensor devices from their proprietary interfaces, and offering them to third party applications in an as-a-Service fashion for prompt and universal use. The middleware also offers tool to elaborate real-time measurements produced by sensors. A prototype of the middleware has been implemented. In the paper a real use case scenario is also discusse

    SNPS: an OSGi-based middleware for Wireless Sensor Networks

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    We are witnessing a widespread deployment of sensors and sensor networks in any application domain. These sensors produce huge amounts of raw data that need to be structured, stored, analyzed, correlated and mined in a reliable and scalable way. Some application environments also add real-time requirements which make things even harder to manage. The size of the produced data, and the high rate at which data are being produced, suggest that we need new solutions that combine tools for data management and services capable of promptly structuring, aggregating and mining data even just when they are produced. In this paper we propose a middleware, to be deployed on top of physical sensors and sensor networks, capable of abstracting sensors from their proprietary interfaces, and offering them to third party applications in an as-a-Service fashion for prompt and universal use. The middleware also offers tool to elaborate real-time measurements produced by sensors. A prototype of the middleware has been implemente

    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

    Predictive factors for chemotherapy-related toxic effects in patients with colorectal cancer

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    Colorectal cancer represents a major health problem in the Western world. Many drugs have been used for the treatment of this disease, but there is little information about how predictive factors can be used to aid treatment response and anticipate toxic effects related to anticancer treatment in colorectal cancer. In this Review we analyze the main data about this field of investigation, and highlight the most important predictive factors that relate to the toxic effects experienced by colorectal cancer patients treated with anticancer chemotherapy, both in the adjuvant and in the advanced settings. The predictive factors are grouped on the basis of the different anticancer drugs. We discuss the rationale for tailoring anticancer treatment in patients with colorectal cancer according to individual molecular and clinical features, with the aim of improving response rates and reducing the incidence of toxic events

    Change from lung adenocarcinoma to small cell lung cancer as a mechanism of resistance to afatinib

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    We report the case of a patient affected by advanced EGFR mutation-positive lung who experienced resistance to therapy during treatment with Afatinib through the occurrence of a switch of tumor histotype to small cell lung cancer (SCLC) with features of a G3 neuroendocrine carcinoma. Unexpectedly, the switch to SCLC histotype occurred in the only site not responsive to afatinib and subsequently the most responsive to chemotherapy. Our case shows that occurrence of switch to SCLC is a possible mechanism of resistance during treatment with Afatinib.Copyright: Manca et al
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