954 resultados para POSITION PAPER
Resumo:
La intenció d'aquest article és detallar l'abast del capital social als esdeveniments culturals celebrats a Catalunya i analitzar la influència sobre l'atracció turística dels mateixos. Es pretén determinar també quin és l'impacte que tres elements de capital social que intervenen en l'organització d'esdeveniments (elements de motivació, creació de xarxes internes i lideratge) tenen sobre el sector turístic local. L'estudi parteix d'una mostra de 263 esdeveniments als quals s'ha adreçat una enquesta per determinar la presència i pes dels factors de capital social. Aquesta informació s'ha creuat amb dades sobre impactes i atracció turística obtingudes també a partir de la mateixa enquesta i, a partir de l'aplicació del test del chi quadrat, s'ha contrastat si les diferències existents entre els diferents factors del capital social són estadísticament significatives. Les conclusions principals obtingudes indiquen que els esdeveniments que tenen elements de capital social que els reforça la seva cohesió social entenen i justifiquen la celebració com a fet socialitzador, independentment del seu abast turístic. A més es detecta que la creació de xarxes de relació enforteix la cohesió interna, la representativitat i el sentit d'identitat de la comunitat. Finalment es constata que la presència d'elements de lideratge que donen visibilitat i vinculen l'esdeveniment amb xarxes externes explica la diferència existent en la capacitat d'atracció i impactes turístics dels esdeveniments. La principal aportació del treball és posar de manifest el paper del capital social com a factor que incideix en la repercussió social i turística dels esdeveniments catalans. La diagnosi efectuada permet recomanar la incorporació del capital social com un actiu estratègic per a la gestió i per a la creació de nous productes i polítiques turístiques centrades en els esdeveniments culturals.
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Peer-reviewed
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The literature related to skew–normal distributions has grown rapidly in recent yearsbut at the moment few applications concern the description of natural phenomena withthis type of probability models, as well as the interpretation of their parameters. Theskew–normal distributions family represents an extension of the normal family to whicha parameter (λ) has been added to regulate the skewness. The development of this theoreticalfield has followed the general tendency in Statistics towards more flexible methodsto represent features of the data, as adequately as possible, and to reduce unrealisticassumptions as the normality that underlies most methods of univariate and multivariateanalysis. In this paper an investigation on the shape of the frequency distribution of thelogratio ln(Cl−/Na+) whose components are related to waters composition for 26 wells,has been performed. Samples have been collected around the active center of Vulcanoisland (Aeolian archipelago, southern Italy) from 1977 up to now at time intervals ofabout six months. Data of the logratio have been tentatively modeled by evaluating theperformance of the skew–normal model for each well. Values of the λ parameter havebeen compared by considering temperature and spatial position of the sampling points.Preliminary results indicate that changes in λ values can be related to the nature ofenvironmental processes affecting the data
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This paper presents a vision-based localization approach for an underwater robot in a structured environment. The system is based on a coded pattern placed on the bottom of a water tank and an onboard down looking camera. Main features are, absolute and map-based localization, landmark detection and tracking, and real-time computation (12.5 Hz). The proposed system provides three-dimensional position and orientation of the vehicle along with its velocity. Accuracy of the drift-free estimates is very high, allowing them to be used as feedback measures of a velocity-based low-level controller. The paper details the localization algorithm, by showing some graphical results, and the accuracy of the system
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This paper presents an automatic vision-based system for UUV station keeping. The vehicle is equipped with a down-looking camera, which provides images of the sea-floor. The station keeping system is based on a feature-based motion detection algorithm, which exploits standard correlation and explicit textural analysis to solve the correspondence problem. A visual map of the area surveyed by the vehicle is constructed to increase the flexibility of the system, allowing the vehicle to position itself when it has lost the reference image. The testing platform is the URIS underwater vehicle. Experimental results demonstrating the behavior of the system on a real environment are presented
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When unmanned underwater vehicles (UUVs) perform missions near the ocean floor, optical sensors can be used to improve local navigation. Video mosaics allow to efficiently process the images acquired by the vehicle, and also to obtain position estimates. We discuss in this paper the role of lens distortions in this context, proving that degenerate mosaics have their origin not only in the selected motion model or in registration errors, but also in the cumulative effect of radial distortion residuals. Additionally, we present results on the accuracy of different feature-based approaches for self-correction of lens distortions that may guide the choice of appropriate techniques for correcting distortions
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This paper deals with the problem of navigation for an unmanned underwater vehicle (UUV) through image mosaicking. It represents a first step towards a real-time vision-based navigation system for a small-class low-cost UUV. We propose a navigation system composed by: (i) an image mosaicking module which provides velocity estimates; and (ii) an extended Kalman filter based on the hydrodynamic equation of motion, previously identified for this particular UUV. The obtained system is able to estimate the position and velocity of the robot. Moreover, it is able to deal with visual occlusions that usually appear when the sea bottom does not have enough visual features to solve the correspondence problem in a certain area of the trajectory
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In the context of the investigation of the use of automated fingerprint identification systems (AFIS) for the evaluation of fingerprint evidence, the current study presents investigations into the variability of scores from an AFIS system when fingermarks from a known donor are compared to fingerprints that are not from the same source. The ultimate goal is to propose a model, based on likelihood ratios, which allows the evaluation of mark-to-print comparisons. In particular, this model, through its use of AFIS technology, benefits from the possibility of using a large amount of data, as well as from an already built-in proximity measure, the AFIS score. More precisely, the numerator of the LR is obtained from scores issued from comparisons between impressions from the same source and showing the same minutia configuration. The denominator of the LR is obtained by extracting scores from comparisons of the questioned mark with a database of non-matching sources. This paper focuses solely on the assignment of the denominator of the LR. We refer to it by the generic term of between-finger variability. The issues addressed in this paper in relation to between-finger variability are the required sample size, the influence of the finger number and general pattern, as well as that of the number of minutiae included and their configuration on a given finger. Results show that reliable estimation of between-finger variability is feasible with 10,000 scores. These scores should come from the appropriate finger number/general pattern combination as defined by the mark. Furthermore, strategies of obtaining between-finger variability when these elements cannot be conclusively seen on the mark (and its position with respect to other marks for finger number) have been presented. These results immediately allow case-by-case estimation of the between-finger variability in an operational setting.
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QUESTION UNDER STUDY: To assess how important the possibility to choose specialist physicians is for Swiss residents and to determine which variables are associated with this opinion. METHODS: This cross-sectional study used data from the 2007 Swiss population-based health survey and included 13,642 non-institutionalised adults who responded to the telephone and paper questionnaires. The dependent variable included answers to the question "How important is it for you to be able to choose the specialist you would like to visit?" Independent variables included socio-demographics, health and past year healthcare use measures. Crude and adjusted logistic regressions for the importance of being able to choose specialist physicians were performed, accounting for the survey design. RESULTS: 45% of participants found it very important to be able to choose the specialist physician they wanted to visit. The answers "rather important", "rather not important" and "not important" were reported by 28%, 20% and 7% of respondents. Women, individuals in middle/high executive position, those with an ordinary insurance scheme, those reporting ≥2 chronic conditions or poorer subjective health, or those who had had ≥2 outpatient visits in the preceding year were more likely to find this choice very important. CONCLUSIONS: In 2007, almost half of all Swiss residents found it very important to be able to choose his/her specialist physician. The further development of physician networks or other chronic disease management initiatives in Switzerland, towards integrated care, need to pay attention to the freedom of choice of specialist physicians that Swiss residents value. Future surveys should provide information on access and consultations with specialist physicians.
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This paper presents a complete solution for creating accurate 3D textured models from monocular video sequences. The methods are developed within the framework of sequential structure from motion, where a 3D model of the environment is maintained and updated as new visual information becomes available. The camera position is recovered by directly associating the 3D scene model with local image observations. Compared to standard structure from motion techniques, this approach decreases the error accumulation while increasing the robustness to scene occlusions and feature association failures. The obtained 3D information is used to generate high quality, composite visual maps of the scene (mosaics). The visual maps are used to create texture-mapped, realistic views of the scene
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Codeine is commonly used in North America in the postpartum period for pain associated with episotomyand caesarean section. Analgesic properties of codeine are mainly due to its metabolisation intomorphine (5-10%) via CYP2D6. This enzyme is subject to genetic variability, which can alter theamount of active narcotic excreted into breastmilk. A recent case report highlighted this issue, reportingfatal consequences in a newborn whose mother was taking codeine for episiotomy-related pain (1-2). New-born's blood (post-mortem) and mother's milk showed high morphine concentrations. Genotypeanalysis classified the mother as a CYP2D6 ultrarapid metabolizer, a genotype associated withenhanced formation of morphine from codeine. The authors concluded "clinical and laboratory picturewas consistent with opioid toxicity leading to neonatal death". Subsequent comments expressed reasonnabledoubts on this conclusion, though (3-4). Since, anxiety increased about the safety of codeineduring breastfeeding and genetic screening was proposed as a prevention strategy.STIS position:? Codeine with paracetamol is not a usual pain prescription in the postpartum period in Switzerland.This markedly reduces codeine use during lactation in our country, and may partly explain why webarely collected 3 codeine exposures through breastmilk in 15 years at the STIS (all reported afterabove case's publication and without side effects).? Other centrally acting analgesics are not considered safer (5) than codeine during lactation andrequire close observation for somnolence in both the mother and the infant in case of repeated maternaldosage. A lack of monitoring was salient in the case reported above (1).? If the incidence of CYP2D6 polymorphism (1-10% of individuals in Western Europe) (6) can beconsidered of clinical significance, it is not the exclusive predisposing factor to toxic effects. Healthynewborns can be particularly sensitive to even usual doses of narcotic analgesics because of immaturedrug disposition (7). Conditions leading to impaired clearance or increased susceptibility inthe infant (e.g. preterm birth, metabolic diseases) represent further risk factors for opioid toxicity,regardless of the molecule.In conclusion, when prescribed on a large scale, codein can be rarely associated with adverse drugreactions in breastfed infants (8-9). However, other central acting analgesics cannot be considered asinvariably safer. Therefore, paracetamol and well documented NSAID should be used in 1st choiceduring lactation. In case of severe pain, codeine (with paracetamol) remains an acceptable choice butrequires close monitoring, and breastfeeding mothers should be educated regarding risks related toaccumulation in the newborn. Finally, it is doubtful whether CYP2D6 genetic screening would preventall toxic effects, as other risk factors exist for opioids toxicity
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This paper discusses predictive motion control of a MiRoSoT robot. The dynamic model of the robot is deduced by taking into account the whole process - robot, vision, control and transmission systems. Based on the obtained dynamic model, an integrated predictive control algorithm is proposed to position precisely with either stationary or moving obstacle avoidance. This objective is achieved automatically by introducing distant constraints into the open-loop optimization of control inputs. Simulation results demonstrate the feasibility of such control strategy for the deduced dynamic model