285 research outputs found

    Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance

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    Abstract The implementation of artificial intelligence (AI) in a smart society, in which the analysis of human habits is mandatory, requires automated data scheduling and analysis using smart applications, a smart infrastructure, smart systems, and a smart network. In this context, which is characterized by a large gap between training and operative processes, a dedicated method is required to manage and extract the massive amount of data and the related information mining. The method presented in this work aims to reduce this gap with near-zero-failure advanced diagnostics (AD) for smart management, which is exploitable in any context of Society 5.0, thus reducing the risk factors at all management levels and ensuring quality and sustainability. We have also developed innovative applications for a human-centered management system to support scheduling in the maintenance of operative processes, for reducing training costs, for improving production yield, and for creating a human–machine cyberspace for smart infrastructure design. The results obtained in 12 international companies demonstrate a possible global standardization of operative processes, leading to the design of a near-zero-failure intelligent system that is able to learn and upgrade itself. Our new method provides guidance for selecting the new generation of intelligent manufacturing and smart systems in order to optimize human–machine interactions, with the related smart maintenance and education

    Arretium or Arezzo? A Neural Approach to the Identification of Place Names in Historical Texts

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    This paper presents the application of a neural architecture to the identification of place names in English historical texts. We test the impact of different word embeddings and we compare the results to the ones obtained with the Stanford NER module of CoreNLP before and after the retraining using a novel corpus of manually annotated historical travel writings

    Hypofractionated radiotherapy after conservative surgery for breast cancer: analysis of acute and late toxicity

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    <p>Abstract</p> <p>Background</p> <p>A variety of hypofractionated radiotherapy schedules has been proposed after breast conserving surgery in the attempt to shorten the overall treatment time. The aim of the present study is to assess acute and late toxicity of using daily fractionation of 2.25 Gy to a total dose of 45 Gy to the whole breast in a mono-institutional series.</p> <p>Methods</p> <p>Eighty-five women with early breast cancer were assigned to receive 45 Gy followed by a boost to the tumour bed. Early and late toxicity were scored according to the Radiation Therapy Oncology Group criteria. For comparison, a group of 70 patients with similar characteristics and treated with conventional fractionation of 2 Gy to a total dose of 50 Gy in 25 fractions followed by a boost, was retrospectively selected.</p> <p>Results</p> <p>Overall median treatment duration was 29 days for hypofractionated radiotherapy and 37 days for conventional radiotherapy. Early reactions were observed in 72/85 (85%) patients treated with hypofractionation and in 67/70 (96%) patients treated with conventional fractionation (p = 0.01). Late toxicity was observed in 8 patients (10%) in the hypofractionation group and in 10 patients (15%) in the conventional fractionation group, respectively (p = 0.4).</p> <p>Conclusions</p> <p>The hypofractionated schedule delivering 45 Gy in 20 fractions shortened the overall treatment time by 1 week with a reduction of skin acute toxicity and no increase of late effects compared to the conventional fractionation. Our results support the implementation of hypofractionated schedules in clinical practice.</p

    Letter

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    Comments on: Further studies of Bolivian crocidolite-Part IV: Fibre width, fibre drift and their relation to mesothelioma induction: Preliminary findings, by Ilgren EB, van Orden DR, Lee RJ, Kamiya YM, Hoskins JA

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    Comments on: Further studies of Bolivian crocidolite-Part IV: Fibre width, fibre drift and their relation to mesothelioma induction: Preliminary findings, by Ilgren EB, van Orden DR, Lee RJ, Kamiya YM, Hoskins JA

    First admissions for psychoses in Eastern Piedmont-Italy

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    Background and Objectives: 1) To identify the sociodemographic, anamnestic characteristics and presentation symptoms of patients, at the time of first hospitalization, associated with a discharge diagnosis of schizophrenic versus non-schizophrenic psychoses; 2) to define risk factors, at the time of the first admission, for a rehospitalization, regardless of reasons for readmission; 3) to assess the diagnostic stability between first and second hospitalization. Methods: This study includes 245 patients first admitted to the University Psychiatric Clinic of Novara in a period of seven years, discharged with a diagnosis of psychosis as reported in the Discharge Register (ICD-9-CM codes 290-299). Data were collected by consulting medical records and registers of community-based services of the South Novara Mental Health Department. A logistic regression model was used to determine the characteristics associated with a discharge diagnosis of schizophrenia. The relationship between the risk of rehospitalization and patients characteristics was studied using Cox,s regression analysis. Results: Risk factors for a discharge diagnosis of schizophrenia were age, compulsory admission, positive symptoms, and previous non-psychotic psychiatric episodes. Risk factors for rehospitalization were a diagnosis of schizophrenia, an age of less than 40 years, the absence of a stable affective relationship, and living with the family of origin. The 92% of the patients diagnosed as schizophrenic on the first hospitalization had the same diagnosis on readmission. Conclusions: Schizophrenia differs from other psychoses in terms of the greater prevalence of both some symptomatological characteristics and an history of previous non psychotic episodes. Some sociodemographic and clinical characteristics at the time of the first hospitalization can provide indications useful in preventing rehospitalization
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