Multi-scale support vector algorithms for hot spot detection and modelling

The algorithmic approach to data modelling has developed rapidly these last years, in particular methods based on data mining and machine learning have been used in a growing number of applications. These methods follow a data-driven methodology, aiming at providing the best possible generalization and predictive abilities instead of concentrating on the properties of the data model. One of the most successful groups of such methods is known as Support Vector algorithms. Following the fruitful developments in applying Support Vector algorithms to spatial data, this paper introduces a new extension of the traditional support vector regression (SVR) algorithm. This extension allows for the simultaneous modelling of environmental data at several spatial scales. The joint influence of environmental processes presenting different patterns at different scales is here learned automatically from data, providing the optimum mixture of short and large-scale models. The method is adaptive to the spatial scale of the data. With this advantage, it can provide efficient means to model local anomalies that may typically arise in situations at an early phase of an environmental emergency. However, the proposed approach still requires some prior knowledge on the possible existence of such short-scale patterns. This is a possible limitation of the method for its implementation in early warning systems. The purpose of this paper is to present the multi-scale SVR model and to illustrate its use with an application to the mapping of Cs137 activity given the measurements taken in the region of Briansk following the Chernobyl accident.

Spot inversion in the Heston model

We analyse the Heston stochastic volatility model under an inversion of spot. The result is that under the appropriate measure changes the resulting process is again a Heston type process whose parameters can be explicitly determined from those of the original process. This behaviour can be interpreted as some measure of sanity of the Heston model but does not seem to be a general feature of stochastic volatility processes.

How private is private information? The ability to spot deception in an economic game

We provide experimental evidence on the ability to detect deceit in a buyer-seller game with asymmetric information. Sellers have private information about the buyer's valuation of a good and sometimes have incentives to mislead buyers. We examine if buyers can spot deception in face-to-face encounters. We vary (1) whether or not the buyer can interrogate the seller, and (2) the contextual richness of the situation. We find that the buyers' prediction accuracy is above chance levels, and that interrogation and contextual richness are important factors determining the accuracy. These results show that there are circumstances in which part of the information asymmetry is eliminated by people's ability to spot deception.

Newborn blood spot screening for your baby

This leaflet explains the benefits of blood spot screening for the newborn

Newborn blood spot screening for your baby (English and nine translations)

This leaflet gives information on newborn blood spot screening for babies and the rare but serious conditions it looks for.

Spot the difference?

This poster informs about looking out for your friends when you're out, stating: 'Having a good time? All that can change in a minute. Be there for each other and help if things go wrong, whether it's drink, drugs...or just mascara'.

Clustering and hot spot detection in socio-economic spatio-temporal data

Distribution of socio-economic features in urban space is an important source of information for land and transportation planning. The metropolization phenomenon has changed the distribution of types of professions in space and has given birth to different spatial patterns that the urban planner must know in order to plan a sustainable city. Such distributions can be discovered by statistical and learning algorithms through different methods. In this paper, an unsupervised classification method and a cluster detection method are discussed and applied to analyze the socio-economic structure of Switzerland. The unsupervised classification method, based on Ward's classification and self-organized maps, is used to classify the municipalities of the country and allows to reduce a highly-dimensional input information to interpret the socio-economic landscape. The cluster detection method, the spatial scan statistics, is used in a more specific manner in order to detect hot spots of certain types of service activities. The method is applied to the distribution services in the agglomeration of Lausanne. Results show the emergence of new centralities and can be analyzed in both transportation and social terms.

Newborn blood spot screening (English and 10 translations)

The newborn blood spot pre-screening information leaflet for parents has been revised to include information about sickle cell disorders (SCD) and medium chain�acyl coA dehydrogenase deficiency (MCADD) family history. The revised pre-screening leaflet should be given to all pregnant women by 30 weeks gestation and reissued to parents following delivery, before day five.Further information about screening and the care of children with SCD is available at:

Diagnosis of latent tuberculosis in patients with systemic lupus erythematosus: T.SPOT.TB versus tuberculin skin test.

Early studies in patients with systemic lupus erythematosus (SLE) reported increased incidence of tuberculosis. The tuberculin skin test (TST) is the technique of choice to detect latent tuberculosis infection (LTBI) but has several limitations. OBJECTIVES We compared TST and the newer T.SPOT.TB test to diagnose LTBI in SLE patients. METHODS In this observational cohort study conducted between August 2009 and February 2012, we recruited 92 patients from those attending the SLE clinic of our university hospital. Data recorded were epidemiological and sociodemographic characteristics. Laboratory analyses included TST and T.SPOT.TB tests. RESULTS Of the patients studied, 92% were women with an average age of 42.7 years. Overall, the degree of correlation between the two tests was low (Kappa index = 0.324) but was better in patients not receiving corticosteroids (CTC)/immunosuppressive (IS) therapy (Kappa = 0.436) and in those receiving hydroxychloroquine (Kappa = 0.473). While TST results were adversely affected by those receiving CTC and/or IS drugs (P = 0.021), the T.SPOT.TB results were not. CONCLUSION Although the TST test remains a useful tool for diagnosing LTBI in SLE patients, the T.SPOT.TB test is perhaps better employed when the patient is receiving CTC and/or IS drugs.

A new spot-thoraxed species of Drosophila from the Atlantic Forest of southeastern Brazil (Diptera, Drosophilidae)

Drosophila boraceia sp. nov. is described from a single male specimen collected at the Estação Biológica de Boracéia, Salesópolis, state of São Paulo, Brazil. At first inspection it looks like a species of Drosophila belonging to the fasciola subgroup of the repleta group, mainly because of the fasciola-like pattern of fused spots on the thorax. However, mostly due to the quite distinct structures of the male terminalia, it seems to be more similar to one ungrouped and also spot-thoraxed South American species, Drosophila atalaia Vilela & Sene, 1982. Illustrations of the terminalia are also provided.

A new Neotropical species of spot-thoraxed Drosophila (Diptera, Drosophilidae)

Drosophila pauliceia sp. nov., a spot-thoraxed species closely related to Drosophila boraceia Vilela & Val, 2004, is described from flies collected in an urban remnant of the montane Atlantic Forest located at the Cidade Universitária "Armando de Salles Oliveira", São Paulo city, state of São Paulo, Brazil. The two forest-dwelling species can be externally distinguished mainly by having a different pattern of thoracic spots. A new group of spotted flies (peruensis group) is proposed to include them, in addition to Drosophila peruensis Wheeler, 1959, from Urubamba River, Peru, and Drosophila atalaia Vilela & Sene, 1982, from Brazil and Argentina. To facilitate comparisons, illustrations of the male and female terminalia of the new species and of some unpublished views of those of D. atalaia are included. Additionally, a new group of unspotted species (named caponei group) is proposed to include Drosophila caponei Pavan & Cunha, 1947 and D. neochracea Wheeler, 1959, both previously considered to be related to D. atalaia.

Anàlisi d'un spot televisiu segons el model proposat per Frederic Chaume : Estudi d'un cas: Beauty is nothing without brains

L’estudi de les situacions comunicatives sempre m’ha atret de manera significativa. El món de la publicitat, també. L’assignatura de Semiòtica audiovisual ha estat el vincle que ha inspirat el tema d’aquest treball. L’idea inicial era la d’analitzar des d’una perspectiva semiòtica un document audiovisual, concretament, Beauty is nothing without brains, un espot televisiu de Mercedes-Benz emès als Estats Units l’any 2007. Es pretenia identificar i analitzar cadascun dels elements que configuren la comunicació audiovisual i presentar possibles versions traductològiques del mateix. La dificultat de crear un esquema d’anàlisi que em permetés estructurar-ne l’estudi va conduir-me a Frederic Chaume. És llavors quan aconsegueixo concretar el tema del treball: es pretén analitzar aquest document audiovisual seguint el model proposat per Chaume, responent a un hipotètic encàrrec de traducció el qual demana la seva adaptació al mercat català.

Evaluation of the spot urine sampling technique to assess urinary pseudouridine excretion in lactating dairy cows

Selostus: Mahdollisuus lyhytaikaisen virtsankeruun käyttöön lypsylehmien virtsan pseudouridiinin erityksen määrittämisessä