130,485 research outputs found
Un metodo originale per la valutazione del danno di edifici di c.a. basato su dati sperimentali prodotti da monitoraggio sismico permanente
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Clock Synchronization in Wireless Sensor Network with Selective Convergence Rate for Event Driven Measurement Applications
No full textIn this paper, a novel wireless sensor network synchronization protocol for event-driven measurement applications is proposed. The objective is twofold: 1) to provide high accuracy in the area where an event is detected and 2) to ensure a long network lifetime. The complexity of the problem arises from the fact that these two properties are usually in conflict. To increase the synchronization accuracy, nodes are required to exchange synchronization packets at higher rate, thus impacting the network lifetime. Vice versa to ensure a long network life time, the number of packets to be exchanged should be minimized thus impacting the synchronization accuracy. A tradeoff can be achieved by observing that the packet rate should be increased only for the portion of the network surrounding the detected events as only these nodes require a higher accuracy to collect data. The proposed algorithm represents a formalization of this idea. Numerical and experimental results are provided to validate the effectiveness of the proposed algorithm. 0018-9456 © 2014 IEEE.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
Structural monitoring by the Italian Department of Civil Protection and the case of 2009 Abruzzo seismic sequence
No full textThis paper describes the accelerometric monitoring of buildings carried out by the Italian Department of Civil Protection (DPC) during the seismic aftershock sequence that hit Abruzzi (Italy) in 2009. This activity is illustrated in the framework of the whole DPC action in the field of seismic monitoring of civil structures. To this end a short description of the "Seismic Observatory of Structures", a permanent seismic monitoring network managed by DPC, is provided, and methods used for selecting, studying and modeling structures are presented. Particular attention is devoted to procedures and techniques used for data analysis and damage assessment. Finally, the case study of the town hall building of Pizzoli is shown to illustrate the results that can be obtained from measurement of the building response to aftershocks
The soluble guanylate cyclase inhibitor methylene blue evokes preterm delivery and intrauterine growth restriction in a mouse model
No full textVuoti a perdere? Realtà e prospettive di un mutamento istituzionale.
No full textViene analizzata l'esperienza di recupero psico-sociale , di un gruppo di pazienti lungodegenti di un manicomio , chiuso a seguito della legge 180
Studio italiano sul recovery - SIR. Fase 1: applicazione italiana della Recovery Assessment Scale
No full textScopo
Il Recovery è definito come un processo complesso di sviluppo di nuovi traguardi e obiettivi di vita per superare i catastrofici effetti della malattia mentale. Per questo sono necessarie misure psicometriche di valutazione del Recovery individuale, ancora poco diffuse nel nostro paese. Il presente studio preliminare è finalizzato a valutare la versione italiana della scala Recovery Assessment Scale ( RAS) con l’obiettivo di poter usufruire di uno strumento in grado di individuare quei soggetti che si trovano in fase di Recovery.
Metodi
Lo studio multicentrico ha coinvolto servizi di salute mentale di varie parti d’Italia. Ha comportato una prima fase di traduzione della scala RAS in lingua italiana e la sua somministrazione a 156 pazienti con diagnosi di psicosi, reclutati come “in recovery” e “non in recovery” seguendo i criteri operativi di recovery proposti da Liberman e collaboratori (2002).
Risultati
I risultati preliminari hanno evidenziato buone proprietà psicometriche della versione italiana della RAS, che si è dimostrata in grado di discriminare i soggetti identificati come “in recovery”.
Conclusioni
Poiché i risultati confermano le buone proprietà psicometriche della versione italiana della RAS, questo lavoro può contribuire ad aumentare la diffusione in Italia di strumenti utili a identificare soggetti in recovery dalla malattia mentale, la cui esperienza rappresenta un contributo fondamentale per la pianificazione di Servizi di salute mentale orientati a una prospettiva multidimensionale favorenti i percorisi di recovery
Dinamiche della soggettività e modificazioni dell'ambiente di lavoro in un asilo.
No full textA seguito della apertura di un ospedale manicomiale vengonbo analizzate le dinamiche di riadattamento a nuovi modelli di relazione nei pazienti e negli operatori
Towards a unified approach for Distributed Measurement System technologies
No full textMany applications Internet-of-things (loT) based exploit Distributed Measurement System (DMS) to acquire data from sensors equipping objects or measurement instruments constituting the DMS nodes. The heterogeneity of the smart objects used to develop IoT applications has become a challenge in the design of the DMS, and very strong is the need to move towards new paradigm for programming and managing such systems. In fact, a current major limitation in the DMS development is the requirement of a deep knowledge about the different programming language and communication protocols. Aim of this paper is to provide an overview on DMS, focusing on the issues and the different technologies used, highlighting the software and architectural limits to the large diffusion for home automation, with a proposal to overcome them
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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