A dynamic Bayesian network model for predicting organ failure associations without predefining outcomes

Critical care medicine has been a field for Bayesian networks (BNs) application for investigating relationships among failing organs. Criticisms have been raised on using mortality as the only outcome to determine the treatment efficacy. We aimed to develop a dynamic BN model for detecting interrelationships among failing organs and their progression, not predefining outcomes and omitting hierarchization of organ interactions. We collected data from 850 critically ill patients from the national database used in many intensive care units. We considered as nodes the organ failure assessed by a score as recorded daily. We tested several possible DBNs and used the best bootstrapping results for calculating the strength of arcs and directions. The network structure was learned using a hill climbing method. The parameters of the local distributions were fitted with a maximum of the likelihood algorithm. The network that best satisfied the accuracy requirements included 15 nodes, corresponding to 5 variables measured at three times: ICU admission, second and seventh day of ICU stay. From our findings some organ associations had probabilities higher than 50% to arise at ICU admittance or in the following days persisting over time. Our study provided a network model predicting organ failure associations and their evolution over time. This approach has the potential advantage of detecting and comparing the effects of treatments on organ function

Il cgml: una soluzione basata su xml per la rappresentazione di mappe vettoriali su dispositivi mobili

L’evoluzione tecnologica dei dispositivi mobili, in termini di potenza di calcolo, capacità di visualizzazione e memorizzazione, e il proliferare di sistemi di connessione a banda larga su rete locale wireless (WiFi) e cellulare (UMTS), permette la gestione di dati complessi quali le mappe vettoriali e l’accesso ai Location Based Service (LBS) per mezzo di un telefono cellulare o un palmare. L’uso di linguaggi XML nel settore dei LBS condiziona la struttura delle funzionalità e dei dati ma garantisce l’interoperabilità dei servizi. Un esempio è il linguaggio GML (Geographic Markup Language) standard de facto nello scambio dei dati tra sistemi GIS e nella rappresentazione dell’informazione geografica. Il GML non è orientato alla rappresentazione di mappe vettoriali, è quindi necessario trasformarlo in un altro linguaggio XML, ad esempio il linguaggio grafico SVG (Scalable Vector Graphics). Per evitare la separazione tra il dato geografico (GML) e la sua visualizzazione (Mobile SVG) ma usando comunque le mappe vettoriali su dispositivi mobili, abbiamo definito il cGML (compact Geographic Markup Language). La rappresentazione di un dato tramite cGML è una mappa vettoriale e come tale può essere utilizzata nella presentazione grafica, ma allo stesso momento è anche un contenitore di insiemi di dati geo-riferiti, omogenei per semantica, utilizzabili in elaborazioni locali sul dispositivo mobile.Enhanced mobile device performances, in terms of CPU power, memory capacity, display capabilities and adoption of wideband connectivity based on local wireless (WiFi) and cellular (UMTS) networks, bring interactive mapping and access to Location Based Services (LBS) to mobile phones and PDAs. The use of XML language in the LBS influences data structure, functionalities and performances; although it could be time and memory expensive, it guarantees service interoperability. The GML language (Geographic Markup Language) is "de facto" standard in data exchanging between Geographic Information Systems. The GML has not been designed to represent vector map: it has to be transformed into another XML language, for example the graphical-oriented XML language Mobile SVG. To avoid the separation between the geographic data (GML) and its visualization (Mobile SVG), keeping vector mapping on mobile devices, we have designed the cGML (compact Geographic Markup Language). The data encoded using cGML is a vector map, so that it can be used in the graphic representation, but at the same time it is a container of geographical related data set, homogenous for semantic and usable in local processing on the mobile device

Compact gml: merging mobile computing and mobile cartography

The use of portable devices is moving from "Wireless Applications", typically implemented as browsing-on-the-road, to "Mobile Computing", which aims to exploit increasing processing power of consumer devices. As users get connected with smartphones and PDAs, they look for geographic information and location-aware services. While browser-based approaches have been explored (using static images or graphics formats such as Mobile SVG), a data model tailored for local computation on mobile devices is still missing. This paper presents the Compact Geographic Markup Language (cGML) that enables design and development of specific purpose GIS applications for portable consumer devices where a cGML document can be used as a spatial query result as well

The cgml: a xml language for mobile cartography

Increasing processing power and storage capabilities encourage systematic adoption of high-end mobile devices, such as programmable cellular phones and wireless-enabled PDA to implement new exciting applications. The performances of modern mobile devices are bringing innovative scenarios, based on position awareness and ambient intelligence paradigms. The market is moving from old 'Wireless Applications' approach to Mobile Computing, which aims to exploit mobile host capabilities. This paper presents the compact Geographic Markup Language (cGML), an XML-based language defined to enable design and development of LBS applications specific for mobile devices, and an example of client-server architecture using it

Validation of third molar maturity index (I 3M ) for discrimination of juvenile/adult status in South Indian population

Deliberate falsification of age was considered to be one of the main reasons for forensic age estimation of the living individuals. This posed to be a challenging task during criminal and legal proceedings, and ultimate care must be taken not to classify juveniles as adults. Third molars are the only developing teeth during late adolescence and early adulthood. Our study was designed to analyze the usefulness of the third molar maturity index (I3M) specific cut-off value (I3M < 0.08) to discriminate adults (≥18 years) and juveniles (<18 years) in South Indian children. 216 panoramic radiographs (114 females and 102 males) of living subjects aged between 14 and 21 years were analyzed. Our results demonstrated high sensitivity (83.3% and 90.2%) and specificity (98.3% and 95.1%) for females and males respectively. The positive likelihood ratios of being adult were 50.00 and 18.35 while the negative likelihood ratios were 0.17 and 0.10 in females and males respectively. The estimated posttest probability was 98.0% in females and 94.8% in males. The obtained results showed that the specific cut-off value of I3M < 0.08 may be a useful additional tool in discrimination of individuals who are around 18 years of age

High-performance AES-128 algorithm implementation by FPGA-based SoC for 5G communications

In this research work, a fast and lightweight AES-128 cypher based on the Xilinx ZCU102 FPGA board is presented, suitable for 5G communications. In particular, both encryption and decryption algorithms have been developed using a pipelined approach, so enabling the simultaneous processing of the rounds on multiple data packets at each clock cycle. Both the encryption and decryption systems support an operative frequency up to 220 MHz, reaching 28.16 Gbit/s maximum data throughput; besides, the encryption and decryption phases last both only ten clock periods. To guarantee the interoperability of the developed encryption/decryption system with the other sections of the 5G communication apparatus, synchronization and control signals have been integrated. The encryption system uses only 1631 CLBs, whereas the decryption one only 3464 CLBs, ascribable, mainly, to the Inverse Mix Columns step. The developed cypher shows higher efficiency (8.63 Mbps/slice) than similar solutions present in literature

Action and non-action oriented body representations. insight from behavioural and grey matter modifications in individuals with lower limb amputation

Following current model of body representations, we aimed to systematically investigate the association between brain modifications, in terms of grey matter loss, and body representation deficits, in terms of alterations of the body schema (BS) and of non-action oriented body representations (NA), in individuals with lower limb amputation (LLA)

COVID-19 incidence and mortality in Lombardy, Italy: An ecological study on the role of air pollution, meteorological factors, demographic and socioeconomic variables

Lombardy, the most populated and industrialized Italian region, was the epicentre of the first wave (March and April 2020) of COVID-19 in Italy and it is among the most air polluted areas of Europe. We carried out an ecological study to assess the association between long-term exposure to particulate matter (PM) and nitrogen dioxide (NO2) on COVID-19 incidence and all-cause mortality after accounting for demographic, socioeconomic and meteorological variables. The study was based on publicly available data. Multivariable negative binomial mixed regression models were fitted, and results were reported in terms of incidence rate ratios (IRRs) and standardized mortality ratios (SMR). The effect of winter temperature and humidity was modelled through restricted cubic spline. Data from 1439 municipalities out of 1507 (95%) were included in the analyses, leading to a total of 61,377 COVID-19 cases and 40,401 deaths from all-causes collected from February 20th to April 16th and from March 1st to April 30th, 2020, respectively. Several demographic and socioeconomic variables resulted significantly associated with COVID-19 incidence and all-cause mortality in a multivariable fashion. An increase in average winter temperature was associated with a nonlinear decrease in COVID-19 incidence and all-cause mortality, while an opposite trend emerged for the absolute humidity. An increase of 10 μg/m3 in the mean annual concentrations of PM2.5 and PM10 over the previous years was associated with a 58% and 34% increase in COVID-19 incidence rate, respectively. Similarly, a 10 μg/m3 increase of annual mean PM2.5 concentration was associated with a 23% increase in all-cause mortality. An inverse association was found between NO2 levels and COVID-19 incidence and all-cause mortality. Our ecological study showed that exposure to PM was significantly associated with the COVID-19 incidence and excess mortality during the first wave of the outbreak in Lombardy, Italy