71 research outputs found
On the need of opening up crowdsourced emergency management systems
Nowadays,socialmediaanalysissystemsarefeedingonusercontributed data, either for beneficial purposes, such as emergency management, or for user profiling and mass surveillance. Here, we carry out a discussion about the power and pitfalls of public accessibility to social media-based systems, with specific regards to the emergency management application EARS (Earthquake Alert and Report System). We investigate whether opening such systems to the population at large would further strengthen the link between communities of volunteer citizens, intelligent systems, and decision makers, thus going in the direction of developing more sustainable and resilient societies. Our analysis highlights fundamental chal- lenges and provides interesting insights into a number of research directions with the aim of developing human-centered social media-based systems
Packet Fan-Out Extension for the pcap Library
The large availability of multi-gigabit network cards for commodity PCs requires network applications to potentially cope with high volumes of traffic. However, computation intensive operations may not catch up with high traffic rates and need to be run in parallel over multiple processing cores. As of today, the vast majority of network applications - e.g., monitoring and IDS systems - are still based on the pcap library interface which, unfortunately, does not provide the native multi-core support, even though the current underlying capture technologies do. This paper introduces a novel version of the pcap library for the Linux operating system that enables transparent application level parallelism. The new library supports fan-out operations for both multi-threaded and multi-process applications, by means of extended API as well as by a declarative grammar for configuration files, suitable for legacy applications. In addition, the library can transparently run on top of the standard Linux socket as well as on other accelerated active engines. Performance evaluation has been carried out on a multi-core architecture in pure capture tests and in more realistic use cases involving monitoring applications such as Tstat and Bro, with standard Linux socket as well as PFRING and PFQ accelerated engines
ISOLATION AND SELECTION OF SACCHAROMYCES CEREVISIAE FROM MONTEPULCIANO D’ABRUZZO “COLLINE TERAMANE” ZONES WITH DIFFERENT MICROCLIMATIC CHARACTERISTICS
During 2006 a study on the cultivated area with Montepulciano d’Abruzzo “CollineTeramane DOCG” was started to develop a GIS technology. It was aimed at the production ofdigital and electronic version of already existing databases cartography, integrated with theclimatic map in order to circumscribe the landscape in homogeneous areas. Goodfermentation kinetics of musts from vineyards of the Area 2 were obtained. Yeasts wereisolated from all the musts at different fermentation times. Among the isolates, only eightyeight were identified as Saccharomyces cerevisiae and characterized on the basis of theirfermentative power (CO2 evolution at 48 h > 2g/100 ml). Thirty three strains were furtherselected for SO2 resistance, H2S, SO2 and aroma production, wine colour stabilisation. Elevenstrains were selected for their useful physiological and biotechnological characteristics, butonly the best three strains were chosen for winemaking. Following the processing of the mainclimatic datasets recorded within the surveyed area, thematic maps were produced and threehomogenous winegrowing areas were outlined.[...
Impromptu crisis mapping to prioritize emergency response
To visualize post-emergency damage, a crisis-mapping system uses readily available semantic annotators, a machine-learning classifier to analyze relevant tweets, and interactive maps to rank extracted situational information. The system was validated against data from two recent disasters in Italy
Pulling Information from Social Media in the Aftermath of Unpredictable Disasters
Social media have become a primary communication channel among people and are continuously overwhelmed by huge volumes of User Generated Content. This is especially true in the aftermath of unpredictable disasters, when users report facts, descriptions and photos of the unfolding event. This material contains actionable information that can greatly help rescuers to achieve a better response to crises, but its volume and variety render manual processing unfeasible. This paper reports the experience we gained from developing and using a web-enabled system for the online detection and monitoring of unpredictable events such as earthquakes and floods. The system captures selected message streams from Twitter and offers decision support functionalities for acquiring situational awareness from textual content and for quantifying the impact of disasters. The software architecture of the system is described and the approaches adopted for messages filtering, emergency detection and emergency monitoring are discussed. For each module, the results of real-world experiments are reported. The modular design makes the system easy configurable and allowed us to conduct experiments on different crises, including Emilia earthquake in 2012 and Genoa flood in 2014. Finally, some possible functionalities relying on the analysis of multimedia information are introduced
Non mean reverting affine processes for stochastic mortality.
In this paper we use doubly stochastic processes (or Cox processes) in order to model the random evolution of mortality of an individual. These processes have been widely used in the credit risk literature in modelling default arrival, and in this context have proved to be quite flexible, especially when the intensity process is of the affine class. We investigate the applicability of affine processes in describing the individual's intensity of mortality, and provide a calibration to the Italian and UK populations. Results from the calibration seem to suggest that, in spite of their popularity in the financial context, mean reverting processes are not suitable for describing the death intensity of individuals. On the contrary, affine processes whose deterministic part increases exponentially seem to be appropriate. As for the stochastic part, negative jumps seem to do a better job than diffusive components. Stress analysis and analytical results indicate that increasing the randomness of the intensity process results in improvements in survivorship.doubly stochastic processes (Cox processes); stochastic mortality; affine processes
Scultura a Genova 1160 - 1259: la ricezione del gotico. Inediti e spunti di ricerca
Dall'identificazione di un'inedita scultura (Angelo di San Matteo di Santa maria delle Vigna, ca 1150) alla Madonna di Santa Margherita, alle sculture della facciata della cattedrale, alla lapide Lercari l'enucleazione, l'illustrazione, i caratteri e i riferimenti culturali di un preciso filone che testimonia la presenza fisica a Genova tra la metà del XII e la metà del XIII secolo di scultori francesi di varia educazione gotica, a dimostrazione del ruolo di relais della città nei confronti dell'Europa, oltre che del Mediterrane
Isolation and selection of Saccaromyces cerevisiae from Montepulciano d’Abruzzo “Colline Teramane” zones with different microclimatic characteristics
Organoleptic characteristics and protein content of four Vigna spp species
Se evaluó el tiempo de cocción del grano seco, el porcentaje de proteína y la apariencia, color, olor y sabor de las vainicas, granos verdes y secos de frijol mungo (Vigna radiata cv C-55 y NGY), frijol adzuki (Vigna angularis cv. UCR-1), frijol rabiza (Vigna unguiculata cv.Centa 105) frijol arroz (Vigna umbbella cv. EEFB-1) producidos en la Finca Experimental de la Facultad de Agronomía de la Universidad de Costa Rica en Río Frío, comprendida en la zona del Bosque Tropical Húmedo (X annual 4.600 mm/año). En comparación con el frijol común (Phaseolus vulgaris cv. Talamanca) el cultivar UCR-1 fue el mejor para consumo como vainica, grano verde y grano seco. El contenido de proteina entre los cultivares evaluados varió de 17,8 a 20,9% para las vainas tiernas de 21,8 a 29,2% para el grano verde y de 20,1 a 26,5% para el grano seco. No hubo diferencia estadísticas entre cultivares para el tiempo de cocción.An evaluation was conducted of the cooking time required to soften the dry bean, the analysis of protein content and the appearance, odor and flavor of the pods of tender and dry beans of mung bean (Vigna radiata cv. C-55 and NGY), cow pea (Vigna unguiculata cv. Centa 105), adzuki bean (Vigna angularis cv. UCR-1) and rice bean (Vigna umbrella cv. EEFB-1) grow at the experimental farm of the Agronomy Department of the University of Costa Rica in Rio Frio, Cos ta Rica comprised in the humid tropical forest zone (average rainfall 4600 mm/year) In comparison with the common bean. (Phaseolus vulgaris cv. Talamanca), The best cultivar for consumption as pods, tender and dry bean was the UCR-1. The protein content varied form 17.8 to 20.9% for the green pod; from 21.8 to 29.2% for the tender bean and from 20.1 to 26.5% for the dry bean. No significant differences were found among cultivars on the cooking time.UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Agroalimentarias::Estación Experimental Agrícola Fabio Baudrit Moreno (EEAFBM
Sodium oxybate in maintaining alcohol abstinence in alcoholic patients according to Lesch typologies: A pilot study
Sodium oxybate (SO) is a γ-amino-butyric acid (GABA)-ergic drug currently used for the treatment of alcohol dependence (AD) in some European countries. The aim of this study was to describe the effect of SO administration in alcoholics classified according to Lesch alcoholism typology (LAT). Forty-eight patients were enrolled and classified into four groups according to LAT. All patients were treated with oral SO (50 mg/kg of body weight t.i.d.) for 12 weeks. All patients significantly reduced their alcohol intake (p<0.001). Alcohol abstinence during the 12 weeks of treatment did not differ between the four groups at the end of treatment. Craving for SO did not significantly differ amongst groups; cases of SO abuse were very limited and were observed in almost 10% of patients. In conclusion, our study showed an overall efficacy of SO in the treatment of AD irrespective of LAT categories. However, our results confirm that alcoholics with psychiatric co-morbidity, particularly with a borderline personality disorder of Axis II, are at a greater risk of developing craving for and abuse of the drug: until craving for alcohol and craving for SO are characterized in depth, SO should be used with caution in these patients. © The Author(s) 2013
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