995 resultados para Banach, Espais de -- Propietat de Radon-Nikodym


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La seguretat en els espais públics és un element determinant per als nivells de seguretat de les nostres societats. Els incidents que afecten aquesta seguretat no són únicament actes delictius, sinó sovint les conductes incíviques o desordenades i els conflictes que tenen el seu lloc d’expressió en els espais públics. La seguretat subjectiva de les persones ve donada per un conjunt de factors personals i socials i que, sovint, tenen poc a veure amb la delinqüència i molt amb aquelles situacions que els fan més difícil, més feixuga la seva vida quotidiana, precisament en l’ús d’aquests espais. La policia té com a gran repte aconseguir que els espais públics ofereixin prou garanties als ciutadans perquè hi puguin dur a terme de manera raonablement segura les seves activitats derivades de les seves obligacions i de les seves necessitats o preferències personals. La intervenció policial necessitarà d’un ús excel•lent de la discrecionalitat policial (una aplicació rígida i massiva de la normativa de vegades pot agreujar els problemes), i d’una actuació efectiva davant de les activitats delictives, de les activitats incíviques i dels conflictes que afecten els espais públics. Però aquesta actuació haurà sempre d’anar acompanyada d’altres actuacions d’altres actors que incideixin en els elements que afavoreixen l’aparició de les conductes desviades o pertorbadores.

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BACKGROUND: In contrast with established evidence linking high doses of ionizing radiation with childhood cancer, research on low-dose ionizing radiation and childhood cancer has produced inconsistent results. OBJECTIVE: We investigated the association between domestic radon exposure and childhood cancers, particularly leukemia and central nervous system (CNS) tumors. METHODS: We conducted a nationwide census-based cohort study including all children < 16 years of age living in Switzerland on 5 December 2000, the date of the 2000 census. Follow-up lasted until the date of diagnosis, death, emigration, a child's 16th birthday, or 31 December 2008. Domestic radon levels were estimated for each individual home address using a model developed and validated based on approximately 45,000 measurements taken throughout Switzerland. Data were analyzed with Cox proportional hazard models adjusted for child age, child sex, birth order, parents' socioeconomic status, environmental gamma radiation, and period effects. RESULTS: In total, 997 childhood cancer cases were included in the study. Compared with children exposed to a radon concentration below the median (< 77.7 Bq/m3), adjusted hazard ratios for children with exposure ≥ the 90th percentile (≥ 139.9 Bq/m3) were 0.93 (95% CI: 0.74, 1.16) for all cancers, 0.95 (95% CI: 0.63, 1.43) for all leukemias, 0.90 (95% CI: 0.56, 1.43) for acute lymphoblastic leukemia, and 1.05 (95% CI: 0.68, 1.61) for CNS tumors. CONCLUSIONS: We did not find evidence that domestic radon exposure is associated with childhood cancer, despite relatively high radon levels in Switzerland.

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La casa és un conjunt de condicions físiques que en fan un habitatge, però també, és una xarxa de relacions que conformen la vida domèstica. Si bé el disseny disposa d’instruments molt efectius per garantir els estàndards d’habitabilitat, no es planteja, al mateix nivell, la qualitat de la domesticitat, la regulació de la qual, queda en el terreny dels usos dels habitants. L’estudi de cas de l’espai narratiu de les Peces de Cambra d’August Strindberg, analitzat a partir del conjunt d’àmbits comuns de la vida social, que proposa Peter Sloterdijk, permet establir quatre tipus ideals de cases sense llar i identifi car greus dèfi cits de domesticitat. Des d’aquests contraexemples s’obren perspectives que amplien l’horitzó del projecte d’espais domèstics.

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S'hi analitza el procés de transmissió dels drets de propietat intel·lectual dels resultats de la recerca universitària. Habitualment les universitats renuncien als seus possibles drets en benefici dels autors que, sovint, quan publiquen un article en una publicació periòdica, assignen els drets a l'editor de la revista. Finalment, aquest ven el producte, en forma de subscripció a les seves publicacions, a les universitats, on s'havia originat el procés. La crisi motivada per l¿augment dels preus de subscripció a les publicacions periòdiques, unida a les limitacions que el procés de transmissió dels drets de propietat intel·lectual imposa en l¿accés a la informació científica, bàsicper als científics, ja que la difusió dels seus treballs és a la base de la seva promoció, són l¿origen del moviment de lliure accés (open access). Aquesta iniciativa intenta retornar al món acadèmic el control dels processos de comunicació i distribució de la informació científica. Finalment, el creixement de la informació electrònica disponible ha provocat que les biblioteques deixin d¿adquirir exemplars impresos de les publicacions per a disposar d¿accés remot als continguts d¿aquestes publicacions en format electrònic. Aquest canvi implica que les biblioteques han de fer front a una sèrie de qüestions de caràcter legal a l'hora d¿adquirir les llicència d¿ús d¿aquests recursosdigitals.

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Objectiu. Descriure el projecte Google books i analitzar-lo des de la perspectiva legal, tenint en compte els tres agents principals implicats: Google, els titulars de drets de propietat intel·lectual i les biblioteques. Metodologia. Anàlisi legal comparada (legislacions dels Estats Units, de França i d'Espanya) de les implicacions del projecte Google books sobre els drets de propietat intel·lectual i el dret de la competència. Estudi de les demandes plantejades contra Google als Estats Units i a Europa, aixícom les possibles conseqüències de l'acord de conciliació adoptat per Google i les associacionsd'autors i editors als Estats Units. Resultats. Google books ha suposat una infracció massiva de drets de propietat intel·lectual. Per determinar si els llibres d'una biblioteca han entrat en el domini públic o no, cal determinar prèviament quina llei nacional resulta aplicable a cada llibre. La posada a disposició a Google books d'obres descatalogades i tan sols fragments de llibres que es troben a la venda no pot dursea terme sense l'autorització dels titulars. En el cas de les obres òrfenes, l'explotació exigeixl'adopció de certes mesures prèvies per garantir els drets dels titulars, en cas que aquests arribina conèixer-se. L'acord de conciliació adoptat als Estats Units entre Google i les associacionsd'autors i editors pot implicar una posició de monopoli per part de Google en relació amb la venda dels llibres descatalogats i les obres òrfenes.

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The present research deals with an important public health threat, which is the pollution created by radon gas accumulation inside dwellings. The spatial modeling of indoor radon in Switzerland is particularly complex and challenging because of many influencing factors that should be taken into account. Indoor radon data analysis must be addressed from both a statistical and a spatial point of view. As a multivariate process, it was important at first to define the influence of each factor. In particular, it was important to define the influence of geology as being closely associated to indoor radon. This association was indeed observed for the Swiss data but not probed to be the sole determinant for the spatial modeling. The statistical analysis of data, both at univariate and multivariate level, was followed by an exploratory spatial analysis. Many tools proposed in the literature were tested and adapted, including fractality, declustering and moving windows methods. The use of Quan-tité Morisita Index (QMI) as a procedure to evaluate data clustering in function of the radon level was proposed. The existing methods of declustering were revised and applied in an attempt to approach the global histogram parameters. The exploratory phase comes along with the definition of multiple scales of interest for indoor radon mapping in Switzerland. The analysis was done with a top-to-down resolution approach, from regional to local lev¬els in order to find the appropriate scales for modeling. In this sense, data partition was optimized in order to cope with stationary conditions of geostatistical models. Common methods of spatial modeling such as Κ Nearest Neighbors (KNN), variography and General Regression Neural Networks (GRNN) were proposed as exploratory tools. In the following section, different spatial interpolation methods were applied for a par-ticular dataset. A bottom to top method complexity approach was adopted and the results were analyzed together in order to find common definitions of continuity and neighborhood parameters. Additionally, a data filter based on cross-validation was tested with the purpose of reducing noise at local scale (the CVMF). At the end of the chapter, a series of test for data consistency and methods robustness were performed. This lead to conclude about the importance of data splitting and the limitation of generalization methods for reproducing statistical distributions. The last section was dedicated to modeling methods with probabilistic interpretations. Data transformation and simulations thus allowed the use of multigaussian models and helped take the indoor radon pollution data uncertainty into consideration. The catego-rization transform was presented as a solution for extreme values modeling through clas-sification. Simulation scenarios were proposed, including an alternative proposal for the reproduction of the global histogram based on the sampling domain. The sequential Gaussian simulation (SGS) was presented as the method giving the most complete information, while classification performed in a more robust way. An error measure was defined in relation to the decision function for data classification hardening. Within the classification methods, probabilistic neural networks (PNN) show to be better adapted for modeling of high threshold categorization and for automation. Support vector machines (SVM) on the contrary performed well under balanced category conditions. In general, it was concluded that a particular prediction or estimation method is not better under all conditions of scale and neighborhood definitions. Simulations should be the basis, while other methods can provide complementary information to accomplish an efficient indoor radon decision making.

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It is estimated that around 230 people die each year due to radon (222Rn) exposure in Switzerland. 222Rn occurs mainly in closed environments like buildings and originates primarily from the subjacent ground. Therefore it depends strongly on geology and shows substantial regional variations. Correct identification of these regional variations would lead to substantial reduction of 222Rn exposure of the population based on appropriate construction of new and mitigation of already existing buildings. Prediction of indoor 222Rn concentrations (IRC) and identification of 222Rn prone areas is however difficult since IRC depend on a variety of different variables like building characteristics, meteorology, geology and anthropogenic factors. The present work aims at the development of predictive models and the understanding of IRC in Switzerland, taking into account a maximum of information in order to minimize the prediction uncertainty. The predictive maps will be used as a decision-support tool for 222Rn risk management. The construction of these models is based on different data-driven statistical methods, in combination with geographical information systems (GIS). In a first phase we performed univariate analysis of IRC for different variables, namely the detector type, building category, foundation, year of construction, the average outdoor temperature during measurement, altitude and lithology. All variables showed significant associations to IRC. Buildings constructed after 1900 showed significantly lower IRC compared to earlier constructions. We observed a further drop of IRC after 1970. In addition to that, we found an association of IRC with altitude. With regard to lithology, we observed the lowest IRC in sedimentary rocks (excluding carbonates) and sediments and the highest IRC in the Jura carbonates and igneous rock. The IRC data was systematically analyzed for potential bias due to spatially unbalanced sampling of measurements. In order to facilitate the modeling and the interpretation of the influence of geology on IRC, we developed an algorithm based on k-medoids clustering which permits to define coherent geological classes in terms of IRC. We performed a soil gas 222Rn concentration (SRC) measurement campaign in order to determine the predictive power of SRC with respect to IRC. We found that the use of SRC is limited for IRC prediction. The second part of the project was dedicated to predictive mapping of IRC using models which take into account the multidimensionality of the process of 222Rn entry into buildings. We used kernel regression and ensemble regression tree for this purpose. We could explain up to 33% of the variance of the log transformed IRC all over Switzerland. This is a good performance compared to former attempts of IRC modeling in Switzerland. As predictor variables we considered geographical coordinates, altitude, outdoor temperature, building type, foundation, year of construction and detector type. Ensemble regression trees like random forests allow to determine the role of each IRC predictor in a multidimensional setting. We found spatial information like geology, altitude and coordinates to have stronger influences on IRC than building related variables like foundation type, building type and year of construction. Based on kernel estimation we developed an approach to determine the local probability of IRC to exceed 300 Bq/m3. In addition to that we developed a confidence index in order to provide an estimate of uncertainty of the map. All methods allow an easy creation of tailor-made maps for different building characteristics. Our work is an essential step towards a 222Rn risk assessment which accounts at the same time for different architectural situations as well as geological and geographical conditions. For the communication of 222Rn hazard to the population we recommend to make use of the probability map based on kernel estimation. The communication of 222Rn hazard could for example be implemented via a web interface where the users specify the characteristics and coordinates of their home in order to obtain the probability to be above a given IRC with a corresponding index of confidence. Taking into account the health effects of 222Rn, our results have the potential to substantially improve the estimation of the effective dose from 222Rn delivered to the Swiss population.

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És el moment de donar a conèixer tot el que s’ha après durant el Grau en Mestre d’Educació Infantil. Es tracta d’una part molt important del nostre camí com a aprenents ja que demostra els interessos que tenim i els objectius que volem aconseguir. A continuació es podrà observar un treball pensat en dissenyar espais ideals que haurien de tenir les llars d’infants. Sempre es pot millorar, però aquest projecte en fa una idea general i detallada de com seria, des del meu punt de vista, una llar d’infants ideal.

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PURPOSE: The aim of this study was to develop models based on kernel regression and probability estimation in order to predict and map IRC in Switzerland by taking into account all of the following: architectural factors, spatial relationships between the measurements, as well as geological information. METHODS: We looked at about 240,000 IRC measurements carried out in about 150,000 houses. As predictor variables we included: building type, foundation type, year of construction, detector type, geographical coordinates, altitude, temperature and lithology into the kernel estimation models. We developed predictive maps as well as a map of the local probability to exceed 300 Bq/m(3). Additionally, we developed a map of a confidence index in order to estimate the reliability of the probability map. RESULTS: Our models were able to explain 28% of the variations of IRC data. All variables added information to the model. The model estimation revealed a bandwidth for each variable, making it possible to characterize the influence of each variable on the IRC estimation. Furthermore, we assessed the mapping characteristics of kernel estimation overall as well as by municipality. Overall, our model reproduces spatial IRC patterns which were already obtained earlier. On the municipal level, we could show that our model accounts well for IRC trends within municipal boundaries. Finally, we found that different building characteristics result in different IRC maps. Maps corresponding to detached houses with concrete foundations indicate systematically smaller IRC than maps corresponding to farms with earth foundation. CONCLUSIONS: IRC mapping based on kernel estimation is a powerful tool to predict and analyze IRC on a large-scale as well as on a local level. This approach enables to develop tailor-made maps for different architectural elements and measurement conditions and to account at the same time for geological information and spatial relations between IRC measurements.

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Aquest article analitza el fenomen de l’activitat fisicoesportiva urbana. L’esport urbà comprèn un univers complex de pràctiques que –molt o poc– utilitzen i s’apropien dels espais públics de la ciutat. En les reflexions que hi ha a continuació, pretenem mostrar una aproximació a les lògiques que dirigeixen la colonització de l’espai públic urbà per mitjà d’aquestes pràctiques que se’ns presenten com un fet social total, complex i heterogeni com la mateixa societat que les acull. Alhora, aquest estudi ens permet dibuixar les característiques d’alguns itineraris esportius urbans, i també analitzar els diferents perfils de practicants amb l’observació de les xarxes de sociabilitat que s’estableixen en aquest context.

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Ressenya dels projectes europeus del CERN (Consortium of European Research Libraries) dedicats a l'estudi de les marques de propietat dels impresos antics