Lightweight Acquisition and Ranging of Flows in the Data Plane

As networks get more complex, the ability to track almost all the flows is becoming of paramount importance. This is because we can then detect transient events impacting only a subset of the traffic. Solutions for flow monitoring exist, but it is getting very difficult to produce accurate estimations for every tuple given the memory constraints of commodity programmable switches. Indeed, as networks grow in size, more flows have to be tracked, increasing the number of tuples to be recorded. At the same time, end-host virtualization requires more specific flowIDs, enlarging the memory cost for every single entry. Finally, the available memory resources have to be shared with other important functions as well (e.g., load balancing, forwarding, ACL). To address those issues, we present FlowLiDAR (Flow Lightweight Detection and Ranging), a new solution that is capable of tracking almost all the flows in the network while requiring only a modest amount of data plane memory which is not dependent on the size of flowIDs. We implemented the scheme in P4, tested it using real traffic from ISPs and compared it against four state-of-the-art solutions: FlowRadar, NZE, PR-sketch, and Elastic Sketch. While those can only reconstruct up to 60% of the tuples, FlowLiDAR can track 98.7% of them with the same amount of memory

F-DICE: A multiple node upset tolerant flip-flop for highly radioactive environments

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Psycho-educational group therapy in acute psychiatric units: creating a psychosocial culture. An update of spread and effectiveness of a psychosocial intervention in Italian psychiatric wards

The implementation of a Cognitive-Behavioural Group Intervention (CBGI) in Italian general hospital psychiatric units started in the years 2000-2001 in two Italian regions. Over the years it has became more and more popular also in other psychiatric units located in the rest of the country. Based on the "stress-vulnerability-coping" theory, the CBGI is a replicable and innovative psychosocial intervention that promotes the active involvement of inpatients in decisions concerning their individual objectives and care. In the present article, the authors briefly describe this intervention and the main findings regarding its implementation in several psychiatric units in different Regions of Italy. The authors emphasize that such a psychosocial approach to inpatient care is needed because it can produce improved clinical outcomes, reduction in untoward events and increased staff and inpatient satisfaction. However, its introduction and use still represent a major cultural and managerial challenge in our country

MDR/XDR-TB management of patients and contacts: Challenges facing the new decade. The 2020 clinical update by the Global Tuberculosis Network.

The continuous flow of new research articles on MDR-TB diagnosis, treatment, prevention and rehabilitation requires frequent update of existing guidelines. This review is aimed at providing clinicians and public health staff with an updated and easy-to-consult document arising from consensus of Global Tuberculosis Network (GTN) experts. The core published documents and guidelines have been reviewed, including the recently published MDR-TB WHO rapid advice and ATS/CDC/ERS/IDSA guidelines. After a rapid review of epidemiology and risk factors, the clinical priorities on MDR-TB diagnosis (including whole genome sequencing and drug-susceptibility testing interpretations) and treatment (treatment design and management, TB in children) are discussed. Furthermore, the review comprehensively describes the latest information on contact tracing and LTBI management in MDR-TB contacts, while providing guidance on post-treatment functional evaluation and rehabilitation of TB sequelae, infection control and other public health priorities

On the use of Karatsuba formula to detect errors in GF((2(n))(2)) multipliers

Galois fields are widely used in cryptographic applications. The detection of an error caused by a fault in a cryptographic circuit is important to avoid undesirable behaviours of the system that could be used to reveal secret information. One of the methods used to avoid these behaviours is the concurrent error detection. Multiplication in finite field is one of the most important operations and is widely used in different cryptographic systems. The authors propose in this study an error-detection method for composite finite-field multipliers based on the use of Karatsuba formula. The Karatsuba formula can be used in GF((2(n))(2)) field to decrease the hardware complexity of the finite-field multiplier. The authors propose a novel finite-field multiplier with concurrent error-detection capabilities based on the Karatsuba formula. How the error-detection capabilities of this multiplier are able to face a wide range of fault-based attacks is also shown