Search results for " Network"
showing 10 items of 6428 documents
Family networks and refugees’ health conditions. A picture from Italian informal settlements
2021
While the relationships between social networks and health are widely acknowledged in the literature, few of these studies have covered the population of refugees living in makeshift camps. In our analysis of a nationally representative Italian survey of individuals living in informal settlements, we find that many had weak family relations: only 10 per cent had one or more family members in their settlement. The paper analyses the effects of individual social network on two measures of health, and finds that the refugees’ health conditions were associated with both their personal characteristics and the characteristics of the settlement. The results show that more than 50 per cent of these…
Coauthorship networks and institutional collaboration patterns in reproductive biology.
2007
Objective Reproductive biology is a highly productive area. By analyzing papers published in the major journals in the period 2003–2005, the collaborative patterns were characterized. Design Original research papers published in 2004 in the journals included in the first quartile of the category "Reproductive Biology" of the Journal Citation Reports (2005) were selected. A bibliometric analysis was carried out with the information obtained, thus building up the networks of coauthorship and institutional collaboration. Result(s) A total of 4,702 papers were analyzed, 96.75% signed in collaboration by two or more authors, the authors per paper index being 5.24; 73.73% of the papers were colla…
Introduction to the 5th International Workshop on Intelligent Environments Supporting Healthcare and Well-Being (WISHWell13)
2013
This workshop is designed to bring together researchers from both industry and academia from the various disciplines to discuss how innovation in the use of technologies to support healthier lifestyles can be moved forward. There has been a growing interest around the world and especially in Europe, on investigating the potential consequences of introducing technology to deliver social and health care to citizens (see for example [1]). This implies an important shift on how social and health care are delivered and it has positive as well as negative consequences which must be investigated carefully. On the other hand there is an urgency provided by the changes in demographics which is putti…
Towards a Framework for Cross-Sector Collaboration: Implementing a Resilience Information Portal
2017
Municipalities play an integral part in the strive for resilient societies. A resilient municipality is not only prepared for short-term shocks such as natural disasters but also more successful in mastering long-term stresses such as profound in-creases or decreases of population. Backed by a large-scale research project we have developed a Resilience Information Portal (RIP). It serves as an artefact to support cross-sector collaboration within a municipality. The core challenges in implementing such a portal reside not in the technological work, though. Rather, it needs to be implemented in the communication and IT strategy of a municipality and be tailored to the processes. In this arti…
Opinion dynamics and stubbornness through mean-field games
2013
This paper provides a mean field game theoretic interpretation of opinion dynamics and stubbornness. The model describes a crowd-seeking homogeneous population of agents, under the influence of one stubborn agent. The game takes on the form of two partial differential equations, the Hamilton-Jacobi-Bellman equation and the Kolmogorov-Fokker-Planck equation for the individual optimal response and the population evolution, respectively. For the game of interest, we establish a mean field equilibrium where all agents reach epsilon-consensus in a neighborhood of the stubborn agent's opinion.
Smartphone data analysis for human activity recognition
2017
In recent years, the percentage of the population owning a smartphone has increased significantly. These devices provide the user with more and more functions, so that anyone is encouraged to carry one during the day, implicitly producing that can be analysed to infer knowledge of the userâs context. In this work we present a novel framework for Human Activity Recognition (HAR) using smartphone data captured by means of embedded triaxial accelerometer and gyroscope sensors. Some statistics over the captured sensor data are computed to model each activity, then real-time classification is performed by means of an efficient supervised learning technique. The system we propose also adopts a …
I suffer from a serious rare disease : a challenge to sing and choreograph on TikTok
2021
Este artículo se encuentra disponible en la siguiente URL: https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/86449 Este artículo pertenece al número "Interacción y visualización ". Las enfermedades raras son patologías muy severas y discapacitantes que afectan al 7% de la población mundial. Para intentar visibilizar y denunciar su situación, las personas que padecen estas enfermedades y sus familias hallaron en Facebook, Twitter y YouTube, entre otras redes sociales, un canal eficaz para compartir sus problemas, exigir una mayor inversión en investigación y poder conllevar sus dificultades diarias. Desde entonces, se han estimado como válidos elementos simbólicos y d…
Call admission control scheme using borrowable guard channels and prioritizing fresh calls retrials in small cell networks
2014
International audience; Recent trends in mobile cellular networks turn towards deployment of Small Cell Networks (SCNs), where, the cell size gets smaller, and thus the number of subscribers served in a cell will be relatively smaller, such that traffic models with a finite source of subscribers should be considered. Smaller cells cause the mobile subscribers to cross several cells during an ongoing conversation resulting in frequent handovers. Most of works dealing with Call Admission Control (CAC) problems based on guard channels scheme in cellular mobile networks consider models without retrials (reapeted calls phenomenon). However, almost all existing works which take into account retri…
Expert system for predicting unstable angina based on Bayesian networks
2013
The use of computer-based clinical decision support (CDS) tools is growing significantly in recent years. These tools help reduce waiting lists, minimise patient risks and, at the same time, optimise the cost health resources. In this paper, we present a CDS application that predicts the probability of having unstable angina based on clinical data. Due to the characteristics of the variables (mostly binary) a Bayesian network model was chosen to support the system. Bayesian-network model was constructed using a population of 1164 patients, and subsequently was validated with a population of 103 patients. The validation results, with a negative predictive value (NPV) of 91%, demonstrate its …
Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination
2015
This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive…