104,055 research outputs found

    I Siti Reali e San Leucio

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    San Leucio: sito reale privilegiato di Ferdinando IV. Imponenza e magnificenza della fabbrica. Statuto della comunità e manifattura di seta. Sti reali, luoghi di evasione e centri produttivi. Siti reali e peculiarità dello spazio regionale

    Sistema giuridico romanistico e diritto cinese: considerazioni sui diritti reali di garanzia

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    Si esamina la normativa contenuta nella legge cinese del 2007 sui diritti reali con riferimento alle due figure di diritti reali di garanzia, rapresentate dal pegno e dall'ipoteca, e si indagano i punti di contatto con alcuni ordinamenti europei e la tradizione giuridica romanistic

    Peripheral blood stem cell collection from G-CSF-stimulated unrelated donors for second transplant

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    Peripheral blood stem cells (PBSCs) collected following stimulation with cytokines are commonly used for autologous haematopoietic transplants. Currently, PBSCs are being used for syngeneic or allogeneic transplants from matched or haploidentical donors. However, many issues are still unanswered regarding the early or late side-effects cytokines have on recipients and on healthy donors. The aims of this paper were to evaluate the experience acquired worldwide in this field, to define the acceptability of stem cell donation by G-CSF-stimulated apheresis from unrelated donors after the failure of a first donation, and to assess side-effects of G-CSF on unrelated donors. The use of PBSCs has increased tremendously over the last few years and in the near future PBSCs will probably become the most relevant source of stem cells. Studies conducted so far have definitely concluded that G-CSF is safe and well tolerated. Results observed in transplants utilizing marrow stem cells compared with results obtained in transplants utilizing PBSCs have shown that patients undergoing this latter procedure recover earlier, require a lower number of transfusions and spend fewer days in hospital with a consequent decrease in costs. We concluded that a second transplant by G-CSF-stimulated apheresis from an unrelated donor is definitely acceptable and we designed a prospective study to better define all controversial aspects. Donors will be given 10 microg/kg/day of G-CSF subcutaneously for 5 days. One or two PBSC collection procedures will be performed: the first on day 5 and the second, if necessary, on day 6. Donors will be surveyed and blood counts monitored in a standardized manner during the process

    Le garanzie reali

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    Il contributo offre una rassegna critica delle garanzie reali nell'elaborazione dell'arbitro bancario finanziari

    Diritti reali

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    Nell'ambito del Manuale di diritto internazionale privato, redatto in collaborazione con G. Conetti e F. Vismara, per affrontare la trattazione complessiva del vigente sistema di diritto internazionale privato e processuale, il capitolo si rivolge allo studio della disciplina applicabile ai diritti reali

    Artificial Intelligence to Reshape the Healthcare Ecosystem

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    This paper intends to provide the reader with an overview of the main processes that are introducing artificial intelligence (AI) into healthcare services. The first part is organized according to an evolutionary perspective. We first describe the role that digital technologies have had in shaping the current healthcare methodologies and the relevant foundations for new evolutionary scenarios. Subsequently, the various evolutionary paths are illustrated with reference to AI techniques and their research activities, specifying their degree of readiness for actual clinical use. The organization of this paper is based on the interplay three pillars, namely, algorithms, enabling technologies and regulations, and healthcare methodologies. Through this organization we introduce the reader to the main evolutionary aspects of the healthcare ecosystem, to associate clinical needs with appropriate methodologies. We also explore the different aspects related to the Internet of the future that are not typically presented in papers that focus on AI, but that are equally crucial to determine the success of current research and development activities in healthcare

    Application of Proximal Policy Optimization for Resource Orchestration in Serverless Edge Computing

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    Serverless computing is a new cloud computing model suitable for providing services in both large cloud and edge clusters. In edge clusters, the autoscaling functions play a key role on serverless platforms as the dynamic scaling of function instances can lead to reduced latency and efficient resource usage, both typical requirements of edge-hosted services. However, a badly configured scaling function can introduce unexpected latency due to so-called “cold start” events or service request losses. In this work, we focus on the optimization of resource-based autoscaling on OpenFaaS, the most-adopted open-source Kubernetes-based serverless platform, leveraging real-world serverless traffic traces. We resort to the reinforcement learning algorithm named Proximal Policy Optimization to dynamically configure the value of the Kubernetes Horizontal Pod Autoscaler, trained on real traffic. This was accomplished via a state space model able to take into account resource consumption, performance values, and time of day. In addition, the reward function definition promotes Service-Level Agreement (SLA) compliance. We evaluate the proposed agent, comparing its performance in terms of average latency, CPU usage, memory usage, and loss percentage with respect to the baseline system. The experimental results show the benefits provided by the proposed agent, obtaining a service time within the SLA while limiting resource consumption and service loss

    Gossip-based monitoring of virtualized resources in 5G networks

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    The network function virtualization (NFV) paradigm decouples service functions (SFs) from the physical equipment where they are executed, thus increasing the efficiency of resource utilization, and makes networks and services more scalable and flexible. However, in order to efficiently manage and chain SFs to build network service slices in 5G networks, it is necessary to localize (virtualized) SFs together with their current status, which includes their load, attached virtual links status, configuration parameters, etc. To this aim, we propose a monitoring architecture able to track the network location and the current status of distributed and virtualized SFs, by using agents responsible to monitor the status of co-located SFs, both physical and virtual ones. The monitoring agents exchange their information by means of a gossip protocol to increase the reliability of the process and to build a distributed service monitoring architecture. In this way, it is possible to keep service decisions as local as possible, limiting the interactions with a centralized orchestrator, and thus increasing network scalability. We show that the network overhead of the distributed monitoring process is negligible
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