A semantic model of selective dissemination of information for digital libraries

In this paper we present the theoretical and methodologicalfoundations for the development of a multi-agentSelective Dissemination of Information (SDI) servicemodel that applies Semantic Web technologies for specializeddigital libraries. These technologies make possibleachieving more efficient information management,improving agent–user communication processes, andfacilitating accurate access to relevant resources. Othertools used are fuzzy linguistic modelling techniques(which make possible easing the interaction betweenusers and system) and natural language processing(NLP) techniques for semiautomatic thesaurus generation.Also, RSS feeds are used as “current awareness bulletins”to generate personalized bibliographic alerts.

The migration towards Digital Terrestrial Television: challenges for public policy and public broadcasters

This paper initially identifies the main transformations of the television system that are caused by digitalization. Its development in several broadcasting platforms is analyzed as well as the particular obstacles and requirements that are detected for each of them. Due to its technical characteristics and its historical link to the public services, the terrestrial network requires migration strategies different from those strictly commercial, and public intervention might be needed. The paper focuses on such migration strategies towards DTT and identifies the main issues for public intervention in the areas of the digital scenario: technology, business and market transformation and the reception field. Moreover, it describes and classifies the challenges that public broadcasters should confront due to digitalization. This paper finally concludes that the leadership of the public broadcasters during the migration towards DTT is an interesting tool for public policy. The need for foster the digitalization of the terrestrial platform and to achieve certain social and public goal besides the market interest brings an opportunity for public institutions and public broadcasters to work together. That leading role could also be positive for the public service to face its necessary redefinition and reallocation within the digital context.

Simulation methods with extended stability for stiff biochemical kinetics

Background: With increasing computer power, simulating the dynamics of complex systems in chemistry and biology is becoming increasingly routine. The modelling of individual reactions in (bio)chemical systems involves a large number of random events that can be simulated by the stochastic simulation algorithm (SSA). The key quantity is the step size, or waiting time, τ, whose value inversely depends on the size of the propensities of the different channel reactions and which needs to be re-evaluated after every firing event. Such a discrete event simulation may be extremely expensive, in particular for stiff systems where τ can be very short due to the fast kinetics of some of the channel reactions. Several alternative methods have been put forward to increase the integration step size. The so-called τ-leap approach takes a larger step size by allowing all the reactions to fire, from a Poisson or Binomial distribution, within that step. Although the expected value for the different species in the reactive system is maintained with respect to more precise methods, the variance at steady state can suffer from large errors as τ grows. Results: In this paper we extend Poisson τ-leap methods to a general class of Runge-Kutta (RK) τ-leap methods. We show that with the proper selection of the coefficients, the variance of the extended τ-leap can be well-behaved, leading to significantly larger step sizes.Conclusions: The benefit of adapting the extended method to the use of RK frameworks is clear in terms of speed of calculation, as the number of evaluations of the Poisson distribution is still one set per time step, as in the original τ-leap method. The approach paves the way to explore new multiscale methods to simulate (bio)chemical systems.

Quantifying urban attractiveness from the distribution and density of digital footprints

In the past, sensors networks in cities have been limited to fixed sensors, embedded in particular locations, under centralised control. Today, new applications can leverage wireless devices and use them as sensors to create aggregated information. In this paper, we show that the emerging patterns unveiled through the analysis of large sets of aggregated digital footprints can provide novel insights into how people experience the city and into some of the drivers behind these emerging patterns. We particularly explore the capacity to quantify the evolution of the attractiveness of urban space with a case study of in the area of the New York City Waterfalls, a public art project of four man-made waterfalls rising from the New York Harbor. Methods to study the impact of an event of this nature are traditionally based on the collection of static information such as surveys and ticket-based people counts, which allow to generate estimates about visitors’ presence in specific areas over time. In contrast, our contribution makes use of the dynamic data that visitors generate, such as the density and distribution of aggregate phone calls and photos taken in different areas of interest and over time. Our analysis provides novel ways to quantify the impact of a public event on the distribution of visitors and on the evolution of the attractiveness of the points of interest in proximity. This information has potential uses for local authorities, researchers, as well as service providers such as mobile network operators.

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale

The development of susceptibility maps for debris flows is of primary importance due to population pressure in hazardous zones. However, hazard assessment by processbased modelling at a regional scale is difficult due to the complex nature of the phenomenon, the variability of local controlling factors, and the uncertainty in modelling parameters. A regional assessment must consider a simplified approach that is not highly parameter dependant and that can provide zonation with minimum data requirements. A distributed empirical model has thus been developed for regional susceptibility assessments using essentially a digital elevation model (DEM). The model is called Flow-R for Flow path assessment of gravitational hazards at a Regional scale (available free of charge under www.flow-r.org) and has been successfully applied to different case studies in various countries with variable data quality. It provides a substantial basis for a preliminary susceptibility assessment at a regional scale. The model was also found relevant to assess other natural hazards such as rockfall, snow avalanches and floods. The model allows for automatic source area delineation, given user criteria, and for the assessment of the propagation extent based on various spreading algorithms and simple frictional laws.We developed a new spreading algorithm, an improved version of Holmgren's direction algorithm, that is less sensitive to small variations of the DEM and that is avoiding over-channelization, and so produces more realistic extents. The choices of the datasets and the algorithms are open to the user, which makes it compliant for various applications and dataset availability. Amongst the possible datasets, the DEM is the only one that is really needed for both the source area delineation and the propagation assessment; its quality is of major importance for the results accuracy. We consider a 10m DEM resolution as a good compromise between processing time and quality of results. However, valuable results have still been obtained on the basis of lower quality DEMs with 25m resolution.

Coupling digital and physical worlds in an AR magic show performance: lessons learned

“Magic for a Pixeloscope” is a one hour show conceived to berepresented in a theater scenario that merges mixed and augmented reality (MR/AR) and full-body interaction with classical magic to create new tricks. The show was conceived by an interdisciplinary team composed by a magician, twointeraction designers, a theater director and a stage designer. Themagician uses custom based hardware and software to createnew illusions which are a starting point to explore new languagefor magical expression. In this paper we introduce a conceptualframework used to inform the design of different tricks; weexplore the design and production of some tricks included in theshow and we describe the feedback received on the world premiere and some of the conclusions obtained.

Population PK-guided simulation study in children exposed to drugs in human milk

Risks of significant infant drug exposure through human milk arepoorly defined due to lack of large-scale PK data. We propose to useBayesian approach based on population PK (popPK)-guided modelingand simulation for risk prediction. As a proof-of-principle study, weexploited fluoxetine milk concentration data from 25 women. popPKparameters including milk-to-plasma ratio (MP ratio) were estimatedfrom the best model. The dose of fluoxetine the breastfed infant wouldreceive through mother's milk, and infant plasma concentrations wereestimated from 1000 simulated mother-infant pairs, using randomassignment of feeding times and milk volume. A conservative estimateof CYP2D6 activity of 20% of the allometrically-adjusted adult valuewas assumed. Derived model parameters, including MP ratio were consistentwith those reported in the literature. Visual predictive check andother model diagnostics showed no signs of model misspecifications.The model simulation predicted that infant exposure levels to fluoxetinevia mother's milk were below 10% of weight-adjusted maternal therapeuticdoses in >99% of simulated infants. Predicted median ratio ofinfant-mother serum levels at steady state was 0.093 (range 0.033-0.31),consistent with literature reported values (mean=0.07; range 0-0.59).Predicted incidence of relatively high infant-mother ratio (>0.2) ofsteady-state serum fluoxetine concentrations was <1.3%. Overall, ourpredictions are consistent with clinical observations. Our approach maybe valid for other drugs, allowing in silico prediction of infant drugexposure risks through human milk. We will discuss application of thisapproach to another drug used in lactating women.

O fotojornalismo depois da fotografia: Modelos de configuração da cadeia produtiva do fotojornalismo em tempos de convergência digital

This research report concerns about the post-doctoral activities, conducted betweenSeptember 2010 and March 2011 at the University Pompeu Fabra, Barcelona. It comes to identify the consequences of the convergence phenomenon on photojournalism.Thus, in a more general approach, the effort is to to recovery the structural elements of the convergence concept in journalism. It aims to map, as well, the current debates about the repositioning of photographic practices linked to the news produced in a widespread adoption of digital devices in contemporary workflow. It is also specified,the analysis of photographic collectives as a result of the convergence frameworkapplied to photojournalism; the debate on ways of funding; alternatives facing thealleged crisis of press photography and, finally, proposes to create qualifying stages ofdevelopment of photojournalism in the digital age as well as the proposition of hypotheses concerning the structure of the productive routines. In addition, we present three cases to be analyzed in order to explore and verify the occurrence ofcharacteristics that may identify the object of research in the state of practice. Finally,we work in a series of conclusions, revisiting the main hypotheses. With this strategy, ispossible to define an sequence of analysis capable of addressing the characteristics present in the studied cases and other ones in future, thus, be able to affirm this stage as a step, in the continuous historical course of photojournalism.

Fluência digital e uso de ambientes virtuais: caracterização de alunos de enfermagem

O objetivo do estudo foi caracterizar o perfil de licenciandos de enfermagem, identificar a fluência digital, o conhecimento, a habilidade e o interesse no uso de ambientes virtuais de aprendizagem. Trata-se de uma pesquisa quantitativa, exploratório-descritiva realizada com 51 licenciandos de enfermagem por meio de questionário. Dos participantes do estudo 51 (100%) afirmam ter conhecimento em informática, sendo que 26 (49%) indicam um nível intermediário; 47 (92%) fazem uso diário da Internet; 51 (100%) navegam em redes sociais e possuem e-mail; 51(100%) utilizam MSN e 32 (62,7%) Skype; 41 (82%) acessam Chats, 33 (64,7%) Fóruns de discussão e 22 (43%) Blogs; 33 (64,7%) utilizam frequentemente o Moodle e 26 (51%) o COL; e a grande maioria (45- 88,2%) relatou interesse no uso de ambientes virtuais de aprendizagem. Os alunos foram considerados fluentes digitais e apresentaram conhecimento, habilidade e expressivo interesse no uso de ambientes virtuais de aprendizagem em sua formação acadêmica.

Prediction of infant drug exposure through breastfeeding: population PK modeling and simulation of fluoxetine

BACKGROUND: Risks of significant infant drug exposurethrough breastmilk are poorly defined for many drugs, and largescalepopulation data are lacking. We used population pharmacokinetics(PK) modeling to predict fluoxetine exposure levels ofinfants via mother's milk in a simulated population of 1000 motherinfantpairs.METHODS: Using our original data on fluoxetine PK of 25breastfeeding women, a population PK model was developed withNONMEM and parameters, including milk concentrations, wereestimated. An exponential distribution model was used to account forindividual variation. Simulation random and distribution-constrainedassignment of doses, dosing time, feeding intervals and milk volumewas conducted to generate 1000 mother-infant pairs with characteristicssuch as the steady-state serum concentrations (Css) and infantdose relative to the maternal weight-adjusted dose (relative infantdose: RID). Full bioavailability and a conservative point estimate of1-month-old infant CYP2D6 activity to be 20% of the adult value(adjusted by weigth) according to a recent study, were assumed forinfant Css calculations.RESULTS: A linear 2-compartment model was selected as thebest model. Derived parameters, including milk-to-plasma ratios(mean: 0.66; SD: 0.34; range, 0 - 1.1) were consistent with the valuesreported in the literature. The estimated RID was below 10% in >95%of infants. The model predicted median infant-mother Css ratio was0.096 (range 0.035 - 0.25); literature reported mean was 0.07 (range0-0.59). Moreover, the predicted incidence of infant-mother Css ratioof >0.2 was less than 1%.CONCLUSION: Our in silico model prediction is consistent withclinical observations, suggesting that substantial systemic fluoxetineexposure in infants through human milk is rare, but further analysisshould include active metabolites. Our approach may be valid forother drugs. [supported by CIHR and Swiss National Science Foundation(SNSF)]

Digital storytelling: un’applicazione didattica per ripensare ai media attraverso i media

El presente trabajo de investigación propone un proyecto de investigación centrado en los pre-adolescentes para estudiar, a través deautobiografías digitales (digital storytelling, DST) producidas por ellos, laspracticas cultural-medial y las representaciones que ellos han construido sobre los medios, en relación con los contextos de uso significativos, como el hogar, la escuela o su grupo de par. Los medios forman parte de las actividades cotidianas de los niños quien los emplean en prácticas de socialización, aprendizaje, juego y de construcción de la identidad y del conocimiento. Los digital storytelling,insertados en el contexto escolar, serán empleados como metodología didácticapara la adquisición de competencias tecnológicas y como instrumento de lainvestigación. Los DST, como practica cultural de los chicos, constituirán nuestrocampo para la observación de las modalidades de uso de los medios por parte delos jóvenes y sus capacidad de recombinar lenguajes y construir contenidos. LosDST proporcionaran, además, la posibilidad de acceder al universo simbólicoinfantil para comprender el significado que las tecnologías tienen en sus cotidianidad

Technical note: Preliminary estimation of rockfall runout zones

Rockfall propagation areas can be determined using a simple geometric rule known as shadow angle or energy line method based on a simple Coulomb frictional model implemented in the CONEFALL computer program. Runout zones are estimated from a digital terrain model (DTM) and a grid file containing the cells representing rockfall potential source areas. The cells of the DTM that are lowest in altitude and located within a cone centered on a rockfall source cell belong to the potential propagation area associated with that grid cell. In addition, the CONEFALL method allows estimation of mean and maximum velocities and energies of blocks in the rockfall propagation areas. Previous studies indicate that the slope angle cone ranges from 27° to 37° depending on the assumptions made, i.e. slope morphology, probability of reaching a point, maximum run-out, field observations. Different solutions based on previous work and an example of an actual rockfall event are presented here.

Especificitats de la narrativa audiovisual informativa a Internet: anàlisi de les rutines de producció i dels vídeos produïts per La Vanguardia Digital, VilaWeb i 3cat24.cat

El present projecte d’investigació és el treball de recerca del Doctorat en Comunicació Pública (bienni 2007-2009) i es proposa de desenvolupar-lo com a tesi doctoral. Vol estudiar les especificitats de la narrativa audiovisual informativa a Internet de tres mitjans digitals decomunicació catalans. Per a fer-ho es proposa una metodologia qualitativa dividida en dos blocs: el primer, a partir de l'observació, entrevistes en profunditat i enquestes, vol investigar les novesrutines de producció audiovisual en aquests tres mitjans, condicionades per un nou entorn digital; el segon, a partir de la narratologia, vol analitzar els efectes d'aquestes rutines i d'aquest nou entorn enel producte audiovisual resultant

Desarrollo de Surrogates para la representación dinámica de la información digital

El volumen de información a la que un usuario tiene acceso en Internet esenorme. La representación de la misma ha ido evolucionando a lo largo del tiempo a lavez que se han establecido reglas, recomendaciones y directrices que conforman toda una ingeniería de diseño de interfaces con el propósito de mejorar la representación e interacción entre el usuario y el ordenador. Aún así, hay que ir evolucionando en la manera de tratar esta representación de la información ya que Internet es un espacio donde afloran, día tras día, nuevas tecnologías y servicios.De hecho, en este proyecto trataremos de mejorar la representación de lainformación mediante unos objetos que llamaremos surrogates o sustitutos. Como sunombre indica, estos sustitutos serán la representación de los elementos a reemplazar y cuya función podríamos calificar como de “puerta de enlace”. Dichos objetos estaránformados por elementos propios de la información a la que representan con el objetivo de que el usuario identifique de una manera más rápida y sencilla esta información.En definitiva, desarrollaremos unos surrogates que puedan ser usados endiferentes interfaces independientemente de la tecnología que se haya empleado para sudesarrollo y dotándolos de una serie de características y métodos con el fin de mejorar la interacción entre el usuario y la información.

Determination of Transmembrane Water Fluxes in Neurons Elicited by Glutamate Ionotropic Receptors and by the Cotransporters KCC2 and NKCC1: A Digital Holographic Microscopy Study.

Digital holographic microscopy (DHM) is a noninvasive optical imaging technique that provides quantitative phase images of living cells. In a recent study, we showed that the quantitative monitoring of the phase signal by DHM was a simple label-free method to study the effects of glutamate on neuronal optical responses (Pavillon et al., 2010). Here, we refine these observations and show that glutamate produces the following three distinct optical responses in mouse primary cortical neurons in culture, predominantly mediated by NMDA receptors: biphasic, reversible decrease (RD) and irreversible decrease (ID) responses. The shape and amplitude of the optical signal were not associated with a particular cellular phenotype but reflected the physiopathological status of neurons linked to the degree of NMDA activity. Thus, the biphasic, RD, and ID responses indicated, respectively, a low-level, a high-level, and an "excitotoxic" level of NMDA activation. Moreover, furosemide and bumetanide, two inhibitors of sodium-coupled and/or potassium-coupled chloride movement strongly modified the phase shift, suggesting an involvement of two neuronal cotransporters, NKCC1 (Na-K-Cl) and KCC2 (K-Cl) in the genesis of the optical signal. This observation is of particular interest since it shows that DHM is the first imaging technique able to monitor dynamically and in situ the activity of these cotransporters during physiological and/or pathological neuronal conditions.