Uric acid biorhythm, a feature of long-term variation in a clinical laboratory database

Background: The biorhythm of serum uric acid was evaluated in a large sample of a clinical laboratory database by spectral analysis and the influence of the gender and age on uric acid variability. Methods: Serum uric acid values were extracted from a large database of a clinical laboratory from May 2000 to August 2006. Outlier values were excluded from the analysis and the remaining data (n = 73,925) were grouped by gender and age ranges. Rhythm components were obtained by the Lomb Scargle method and Cosinor analysis. Results: Serum uric acid was higher in men than in women older than 13 years (p<0.05). Compared with 0-12 year group, uric acid increased in men but not in women older than 13 years (p<0.05). Circannual (12 months) and transyear (17 months) rhythm components were detected, but they were significant only in adult individuals (>26 years, p<0.05). Cosinor analysis showed that midline estimating statistic of rhythm (MESOR) values were higher in men (range: 353-368 mu mol/L) than in women (range: 240-278 mu mol/L; p<0.05), independent of the age and rhythm component. The extent of predictable change within a cycle, approximated by the double amplitude, represented up to 20% of the corresponding MESOR. Conclusions: Serum uric acid biorhythm is dependent on gender and age and it may have relevant influence on preanalytical variability of clinical laboratory results.

Xylella fastidiosa comparative genomic database is an information resource to explore the annotation, genomic features, and biology of different strains

The Xylella fastidiosa comparative genomic database is a scientific resource with the aim to provide a user-friendly interface for accessing high-quality manually curated genomic annotation and comparative sequence analysis, as well as for identifying and mapping prophage-like elements, a marked feature of Xylella genomes. Here we describe a database and tools for exploring the biology of this important plant pathogen. The hallmarks of this database are the high quality genomic annotation, the functional and comparative genomic analysis and the identification and mapping of prophage-like elements. It is available from web site http://www.xylella.lncc.br.

The Vedana Database

Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)

Database of diazotrophs in global ocean: abundances, biomass and nitrogen fixation rates

[EN] Marine N2 fixing microorganisms, termed diazotrophs, are a key functional group in marine pelagic ecosystems. The biological fixation of dinitrogen (N2) to bioavailable nitrogen provides an important new source of nitrogen for pelagic marine ecosystems 5 and influences primary productivity and organic matter export to the deep ocean. As one of a series of efforts to collect biomass and rates specific to different phytoplankton functional groups, we have constructed a database on diazotrophic organisms in the global pelagic upper ocean by compiling about 12 000 direct field measurements of cyanobacterial diazotroph abundances (based on microscopic cell counts or qPCR 10 assays targeting the nifH genes) and N2 fixation rates. Biomass conversion factors are estimated based on cell sizes to convert  abundance data to diazotrophic biomass. The database is limited spatially, lacking large regions of the ocean especially in the Indian Ocean. The data are approximately log-normal distributed, and large variances exist in most sub-databases with non-zero values differing 5 to 8 orders of magnitude. 15 Lower mean N2 fixation rate was found in the North Atlantic Ocean than the Pacific Ocean. Reporting the geometric mean and the range of one geometric standard error below and above the geometric mean, the pelagic N2 fixation rate in the global ocean is estimated to be 62 (53–73) TgNyr−1 and the pelagic diazotrophic biomass in the global ocean is estimated to be 4.7 (2.3–9.6) TgC from cell counts and to 89 (40–20 200) TgC from nifH-based abundances. Uncertainties related to biomass conversion factors can change the estimate of geometric mean pelagic diazotrophic biomass in the global ocean by about ±70 %. This evolving database can be used to study spatial and temporal distributions and variations of marine N2 fixation, to validate geochemical estimates and to parameterize and validate biogeochemical models. The database is 25 stored in PANGAEA (http://doi.pangaea.de/10.1594/PANGAEA.774851).

Sparql Interpreter : a component for Triskel architecture

[ES] SPARQL Interpreter es uno de los cinco componentes de la Arquitectura Triskel, una arquitectura de software para una base de datos NoSQL que intenta aportar una solución al problema de Big Data en la web semántica. Este componente da solución al problema de la comunicación entre el lenguaje y el motor, interpretando las consultas que se realicen contra el almacenamiento en lenguaje SPARQL y generando una estructura de datos que los componentes inferiores puedan leer y ejecutar.

A video database for facial behavior understanding

[EN]The use of new technologies in order to step up the inter- action between humans and machines is the main proof that faces are important in videos. Therefore we suggest a novel Face Video Database for development, testing and veri cation of algorithms related to face- based applications and to facial recognition applications. In addition of facial expression videos, the database includes body videos. The videos are taken by three di erent cameras, working in real time, without vary- ing illumination conditions.

Approccio combinato geo-location database e sensing per individuare i livelli di potenza trasmissibili da white space device

La Cognitive Radio è un dispositivo in grado di reagire ai cambiamenti dell’ambiente radio in cui opera, modificando autonomamente e dinamicamente i propri parametri funzionali tra cui la frequenza, la potenza di trasmissione e la modulazione. Il principio di base di questi dispositivi è l’accesso dinamico alle risorse radio potenzialmente non utilizzate, con cui utenti non in possesso di licenze possono sfruttare le frequenze che in un determinato spazio temporale non vengono usate, preoccupandosi di non interferire con gli utenti che hanno privilegi su quella parte di spettro. Devono quindi essere individuati i cosiddetti “spectrum holes” o “white spaces”, parti di spettro assegnate ma non utilizzate, dai quali prendono il nome i dispositivi.Uno dei modi per individuare gli “Spectrum holes” per una Cognitive Radio consiste nel cercare di captare il segnale destinato agli utenti primari; questa tecnica è nota con il nome di Spectrum Sensing e consente di ottenere essenzialmente una misura all’interno del canale considerato al fine di determinare la presenza o meno di un servizio protetto. La tecnica di sensing impiegata da un WSD che opera autonomamente non è però molto efficiente in quanto non garantisce una buona protezione ai ricevitori DTT che usano lo stesso canale sul quale il WSD intende trasmettere.A livello europeo la soluzione che è stata ritenuta più affidabile per evitare le interferenze sui ricevitori DTT è rappresentata dall’uso di un geo-location database che opera in collaborazione con il dispositivo cognitivo.Lo scopo di questa tesi è quello di presentare un algoritmo che permette di combinare i due approcci di geo-location database e Sensing per definire i livelli di potenza trasmissibile da un WSD.