21 research outputs found

    Early psychological care of the French victims of the Costa Concordia shipwreck

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    Most of the French passengers who survived the shipwreck of the cruise ship Costa Concordia were repatriatedfrom Italy to Marseille, one of the stopovers of the cruise. The shipwreck happened during the nightof 13th–14th January 2012 and entailed the forced evacuation of 4195 passengers and crewmembers.Thirty-two persons died and 2 others are still reported missing. The massive and unexpected inflow of402 French citizens in the port of Marseille required the quick setting up of welcome facilities, not only tosolve logistical problems, but also to address psychological and sometimes even medical problems. ThePrehospital Psychological Emergency Service (CUMP) and the Prehospital Emergency Medical Service(SAMU) of Marseille examined 196 persons in total, and were able to avoid a great number of emergencyadmissions deemed necessary because of difficult psychological situations (death, missing or lost persons,acute stress). The objective of this report is to rapidly present the emergency committee as a whole andto describe in more detail the work that the CUMP accomplished during the 36 hours necessary to takecharge of the majority of the French passengers of the Costa Concordia.Most of the French passengers who survived the shipwreck of the cruise ship Costa Concordia were repatriatedfrom Italy to Marseille, one of the stopovers of the cruise. The shipwreck happened during the nightof 13th–14th January 2012 and entailed the forced evacuation of 4195 passengers and crewmembers.Thirty-two persons died and 2 others are still reported missing. The massive and unexpected inflow of402 French citizens in the port of Marseille required the quick setting up of welcome facilities, not only tosolve logistical problems, but also to address psychological and sometimes even medical problems. ThePrehospital Psychological Emergency Service (CUMP) and the Prehospital Emergency Medical Service(SAMU) of Marseille examined 196 persons in total, and were able to avoid a great number of emergencyadmissions deemed necessary because of difficult psychological situations (death, missing or lost persons,acute stress). The objective of this report is to rapidly present the emergency committee as a whole andto describe in more detail the work that the CUMP accomplished during the 36 hours necessary to takecharge of the majority of the French passengers of the Costa Concordia

    A non-syndromic case of maxillo-mandibular keratocysts

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    Introduction: Odontogenic keratocysts (OKCs) are frequent, aggressive lesions with a strong tendency to recur, particularly in their para-keratinized majority form. Although they are mainly non-syndromic, these lesions are found in a large majority of patients with Gorlin syndrome. Thus, multiple forms are almost always associated with this syndrome and require investigation to prevent the risk of various cancers. Non-syndromic multiple forms are exceptional. Observation: A 20-year-old patient presented with dual localization of maxillary and left mandibular OKC at consultation. Under general anesthesia, excision of the lesions and extraction of the impacted wisdom teeth 28 and 38 were performed. The patient showed no clinical sign of Gorlin syndrome. Discussion: The OKC or epidermoid cyst is derived from the dental lamina or its remnants and from the basal part of the oral epithelium and represents between 10 and 20% of all cystic lesions in the maxillae. Its peak of incidence is between the second and fourth decade (or earlier in case of association with basal cell necrosis). OKC occurs mainly in the mandible and preferentially at the Ramus, where its frequency can reach 70% depending on the series. Conclusion: The management of OKC by oral surgeons must be conducted in a multidisciplinary setting in close collaboration with dermatologists, geneticists, and anatomic pathologists. Due to the strong recidivating character of OKCs, patient monitoring is essential

    Time of flight photoelectron spectroscopy using synchrotron radiation study of resonances in O

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    Photoelectron time of flight spectroscopy using pulsed synchrotron radiation is shown to provide accurate binding energies and reliable intensity measurements. Advantage is taken of the high transmission as well as good resolution for low kinetic energy (0-1 eV) electrons, to measure the variation of vibrational branching ratios for [Math] and [Math] states of [Math] upon excitation of oxygen along selecte resonance profiles. Dramatic deviation from Franck-Condon factors are observed

    Nonparametric spectrum estimation for spatial data

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    Smoothed nonparametric kernel spectral density estimates are considered for stationary data observed on a d-dimensional lattice. The implications for edge effect bias of the choice of kernel and bandwidth are considered. Under some circumstances the bias can be dominated by the edge effect. We show that this problem can be mitigated by tapering. Some extensions and related issues are discussed

    Correlation testing in time series, spatial and cross-sectional data

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    We provide a general class of tests for correlation in time series, spatial, spatiotemporal and cross-sectional data. We motivate our focus by reviewing how computational and theoretical difficulties of point estimation mount as one moves from regularly-spaced time series data, through forms of irregular spacing, and to spatial data of various kinds. A broad class of computationally simple tests is justified. These specialize to Lagrange multiplier tests against parametric departures of various kinds. Their forms are illustrated in case of several models for describing correlation in various kinds of data. The initial focus assumes homoscedasticity, but we also robustify the tests to nonparametric heteroscedasticity

    Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS

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    International audienceFeature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-called "curse of dimensionality", which describes the fact that the complexity of the classifier parameters adjustment during training increases exponentially with the number of features. Thus, ML algorithms are known to suffer from important decrease of the prediction accuracy when faced with many features that are not necessary. In this paper, we introduce a novel embedded feature selection method, called ESFS, which is inspired from the wrapper method SFS since it relies on the simple principle to add incrementally most relevant features. Its originality concerns the use of mass functions from the evidence theory that allows to merge elegantly the information carried by features, in an embedded way, and so leading to a lower computational cost than original SFS. This approach has successfully been applied to the domain of image categorization and has shown its effectiveness through the comparison with other feature selection methods

    Feature Selection Based on Run Covering

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    This paper proposes a new feature selection algorithm. First, the data at every attribute are sorted. The continuously distributed data with the same class labels are grouped into runs. The runs whose length is greater than a given threshold are selected as “valid” runs, which enclose the instances separable from the other classes. Second, we count how many runs cover every instance and check how the covering number changes once eliminate a feature. Then, we delete the feature that has the least impact on the covering cases for all instances. We compare our method with ReliefF and a method based on mutual information. Evaluation was performed on 3 image databases. Experimental results show that the proposed method outperformed the other two
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