Erratum to: Distal pain and carpal tunnel syndrome diagnosis among cashiers: a longitudinal study

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Photographic representation of the smile on the Chaco´s ethnographic images of Guido Boggiani and Grete Stern

El propósito de este trabajo fue explorar la relación entre las imágenes etnográficas y las expresiones de risa de los sujetos retratados en ellas. El corpus de análisis lo conformaron los retratos de indígenas del Chaco paraguayo obtenidos por Guido Boggiani (1896-1901) y del Chaco argentino registrados por Grete Stern (1958-1964). Examinando argumentos provenientes de la Historia Cultural y la Estética de la fotografía, el trabajo advirtió que la sonrisa obedece a una situación de interrelación y proximidad. Situación que se asimila a la establecida entre fotógrafos y fotografiados y que atempera la violencia transferida por la mayoría de los registros etnográficos. Tras indagar en la producción, circulación y recepción de los retratos de indígenas sonriendo logrados por Boggiani y Stern, es posible concluir que la sonrisa constituye un matiz visual dentro de la representación fotográfica de la alteridad chaqueña. Matiz que traiciona las expectativas de un discurso académico atento al agravio moral y el impacto emocional.The intention of this work was to explore the relation between the ethnographical images and the expressions of laughter of the subjects portrayed in them. Corpus of analysis conformed the pictures of natives of the Paraguayan Chaco obtained by Guido Boggiani (1896-1901) and of the Argentine Chaco registered by Grete Stern (1958-1964). Examining arguments of the Cultural History and Aesthetic of the photography, it noticed that the smile obeys to a situation of interrelation and proximity. Situation that is assimilated to the established one between photographed photographers and that adjusts the violence transferred by most of the ethnographic registries. After investigating in the production, circulation and reception of the pictures of natives smiling obtained by Boggiani and Stern, conclude that the smile constitutes a visual shade within the photographic representation of the natives of Chaco. Shade that betrays the expectations of a kind academic speech to the moral offense and the emotional impact.Fil: Giordano, Mariana Lilian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Nordeste. Instituto de Investigaciones Geohistóricas (i); ArgentinaFil: Reyero, Alejandra Paola Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Nordeste. Instituto de Investigaciones Geohistóricas (i); Argentin

Primary Psychosis: Risk and Protective Factors and Early Detection of the Onset

Primary psychosis, which includes schizophrenia and other psychoses not caused by other psychic or physical conditions, has a strong impact worldwide in terms of disability, suffering and costs. Consequently, improvement of strategies to reduce the incidence and to improve the prognosis of this disorder is a current need. The purpose of this work is to review the current scientific literature on the main risk and protective factors of primary psychosis and to examine the main models of prevention, especially those related to the early detection of the onset. The conditions more strongly associated with primary psychosis are socio-demographic and economic factors such as male gender, birth in winter, ethnic minority, immigrant status, and difficult socio-economic conditions while the best-established preventive factors are elevated socio-economic status and an economic well-being. Risk and protective factors may be the targets for primordial, primary, and secondary preventive strategies. Acting on modifiable factors may reduce the incidence of the disorder or postpone its onset, while an early detection of the new cases enables a prompt treatment and a consequential better prognosis. According to this evidence, the study of the determinants of primary psychosis has a pivotal role in designing and promoting preventive policies aimed at reducing the burden of disability and suffering of the disorder

Building large-scale spatially explicit models to predict the distribution of suitable habitat patches for the Greater rhea (Rhea americana), a near-threatened species

We developed large-scale spatially explicit models to predict the distribution of suitable habitat patches for the Greater rhea (Rhea americana), a near-threatened species, in two areas of central Argentina with different land use: a grassland area (ca. 4943 km2) mainly devoted to cattle grazing and an agro-ecosystem area (ca. 4006 km2) mostly used for crop production. The models were developed using logistic regression and were based on current records of Greater rhea occurrence coupled with remote sensing data, including land cover and human presence variables. The habitat suitability maps generated were used to predict the suitable habitat patch structure for wild rhea populations in each area. Fifty-one percent of the total grassland area was suitable for the species, being represented by a single large patch that included 62% of the individual locations. In the agro-ecosystem, only 28% of the total area was suitable, which was distributed among four patches. Seventy percent of rhea observations were in suitable habitat, with all rheas grouped in the largest patch. Conservation efforts for preserving wild rhea populations should be focused on maintaining habitats similar to grasslands, which are less profitable for landowners at present. Consequently, the protection of the pampas grasslands, a key habitat for this species as well as for others with similar habitat requirements, will demand strong conservation actions through the reconciliation of interests between producers and conservationists, since the proportion of croplands is increasing.Fil: Giordano, Paola Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaFil: Navarro, Joaquin Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaFil: Martella, Monica Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentin