57 research outputs found

    25 nuove tavolette neo-sumeriche da Ĝirsu appartenenti al cosiddetto dossier dei «pastori»

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    25 tablets kept in the collections of the British Museum are published in this article. They belong to the so- called “dossier of the shepherds” of Ĝirsu. To their transliteration and translation an up-dated study of this dossier follows together with the edition of a balanced account that mentions the same officials of the dossier

    Securing PIN-based Authentication in Smartwatches With just Two Gestures

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    Smartwatches are becoming increasingly ubiquitous as they offer new capabilities to develop sophisticated applications that make daily life easier and more convenient for consumers. The services provided include applications for mobile payment, ticketing, identification, access control, etc. While this makes modern smartwatches very powerful devices, it also makes them very attractive targets for attackers. Indeed, PINs and Pattern Lock have been widely used in smartwatches for user authentication. However, such authentication methods are not robust against various forms of cybersecurity attacks, such as side channel, phishing, smudge, shoulder surfing, and video recording attacks. Moreover, the recent adoption of hardware-based solutions, like the Trusted Execution Environment (TEE), can mitigate only partially such problems. Thus, the user’s security and privacy are at risk without a strong authentication scheme in place. In this work, we propose 2GesturePIN, a new authentication framework that allows users to authenticate securely to their smartwatches and related sensitive services through solely two gestures. 2GesturePIN leverages the rotating bezel or crown, which are the most intuitive ways to interact with a smartwatch, as a dedicated hardware. 2GesturePIN improves the resilience of the regular PIN authentication method against state-of-the-art cybersecurity attacks while maintaining a high level of usability

    Cancer patient-centered home care: a new model for health care in oncology

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    Patient-centered home care is a new model of assistance, which may be integrated with more traditional hospital-centered care especially in selected groups of informed and trained patients. Patient-centered care is based on patients’ needs rather than on prognosis, and takes into account the emotional and psychosocial aspects of the disease. This model may be applied to elderly patients, who present comorbid diseases, but it also fits with the needs of younger fit patients. A specialized multidisciplinary team coordinated by experienced medical oncologists and including pharmacists, psychologists, nurses, and social assistance providers should carry out home care. Other professional figures may be required depending on patients’ needs. Every effort should be made to achieve optimal coordination between the health professionals and the reference hospital and to employ shared evidence-based guidelines, which in turn guarantee safety and efficacy. Comprehensive care has to be easily accessible and requires a high level of education and knowledge of the disease for both the patients and their caregivers. Patient-centered home care represents an important tool to improve quality of life and help cancer patients while also being cost effective

    Caspian: Os Results from a Randomised Phase 3 Study of First-Line Durvalumab ± Tremelimumab + Chemotherapy in ES-SCLC

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    Immune checkpoint blockade targeting the PD-1/PD-L1 pathway in combination with platinum-based chemotherapy (CT) has demonstrated improved clinical outcomes in patients (pts) with extensive-stage small-cell lung cancer (ES-SCLC). Durvalumab ± Tremelimumab in combination with etoposide and platinum-based CT (EP) as first-line treatment for pts with ES-SCLC. Results will be presented at WCLC 2019 including OS, key secondary endpoints, safety and tolerability

    APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research

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    Introduction: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoint inhibitors, targeted therapeutics and antibody-drug conjugates, with different results. Several studies have been aimed at identifying biomarkers able to predict benefit from these therapies and create a prediction model of response, despite this there is a lack of information to help clinicians in the choice of therapy for lung cancer patients with advanced disease. This is primarily due to the complexity of lung cancer biology, where a single or few biomarkers are not sufficient to provide enough predictive capability to explain biologic differences; other reasons include the paucity of data collected by single studies performed in heterogeneous unmatched cohorts and the methodology of analysis. In fact, classical statistical methods are unable to analyze and integrate the magnitude of information from multiple biological and clinical sources (eg, genomics, transcriptomics, and radiomics). Methods and objectives: APOLLO11 is an Italian multicentre, observational study involving patients with a diagnosis of advanced lung cancer (NSCLC and SCLC) treated with innovative therapies. Retrospective and prospective collection of multiomic data, such as tissue- (eg, for genomic, transcriptomic analysis) and blood-based biologic material (eg, ctDNA, PBMC), in addition to clinical and radiological data (eg, for radiomic analysis) will be collected. The overall aim of the project is to build a consortium integrating different datasets and a virtual biobank from participating Italian lung cancer centers. To face with the large amount of data provided, AI and ML techniques will be applied will be applied to manage this large dataset in an effort to build an R-Model, integrating retrospective and prospective population-based data. The ultimate goal is to create a tool able to help physicians and patients to make treatment decisions. Conclusion: APOLLO11 aims to propose a breakthrough approach in lung cancer research, replacing the old, monocentric viewpoint towards a multicomprehensive, multiomic, multicenter model. Multicenter cancer datasets incorporating common virtual biobank and new methodologic approaches including artificial intelligence, machine learning up to deep learning is the road to the future in oncology launched by this project

    Neo-Sumerian Girsu Texts of Barley and Cereal Pruducts, Kept in the British Museum

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    The volume presents the edition of 143 Neo-Sumerian texts, sharing the content (barley and cereal products) and the provenance (Ĝirsu), joined to a study of their seal impressions

    Spermatogenic Waves and Expression of AR and ERs in Germ Cells of Podarcis sicula

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    Androgens are considered the main hormones that regulate spermatogenesis, but a lot of evidence confers to estrogen a key role in this process. In the testis of the seasonal breeder lizard Podarcis sicula we analyzed by means of in situ hybridization the expression of the androgen receptor (AR) and of the two types, α and β, of the estrogen receptors (ERs) throughout the three periods of the annual cycle: mating (spring-early summer), postmating-refractory (late summer), and autumnal recrudescence. The results show that during the mating period AR and ERs are expressed in all germ cells present in the tubules from spermatogonia to spermatozoa. During the postmating-refractory period, when only spermatogonia are present in the tubules, almost all express ERs and very few AR mRNA. During the autumnal recrudescence the localization of AR and ERs is the same of the mating period except for the population of the primary spermatocytes. The expression of the investigated receptors is peculiar in these cells that are positive in the middle-late pachytene stage of the meiotic prophase and negative in preleptotene. A possible functional role of the observed differences during spermatogenesis and in the spermatozoa is also discussed
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