RESUMEN
Objectives: The study was aimed at measuring the impact of training on forensic case formulation in mental health and to provide more evidence on the reliability of the TEC-F. Method: Nine psychiatrists and six psychologists from various Latin American countries participated in a quasi-pedagogical experiment. The quality of formulations was independently and blindly measured pre- and post-intervention with the TEC-F and the assignment of two standard vignettes was also randomly manipulated. Quality mean differences and instrument reliability indicators were calculated. Results: The values of intraclass correlation coefficients were 0.92; 0.94; 0.83; 0.93 and 0.95 and the values of Cronbach's alpha coefficient were 0.83; 0.94; 0.63; 0.77 and 0.93, for the dimensions transparency, specificity, communication, reasoning and for the total TEC-F respectively. The results of the 19-day test-retest were excellent. The mean TEC-F total quality pre-course was 31.4 and the mean post-course, 38.4 (p = 0.003 and p = 0.001 for group test and paired test respectively). Conclusions: The pedagogical intervention produced a significant improvement in the quality of the expert's formulations. The study added evidence supporting the TEC-F reliability.
OBJETIVOS: El estudio se propuso medir el impacto de un entrenamiento sobre formulación pericial del caso forense en salud mental y extender evidencias relacionadas con la confiabilidad de la TEC-F. MÉTODO: Nueve psiquiatras y seis psicólogos de diversos países latinoamericanos participaron de un cuasi-experimento pedagógico. Se midió independientemente y a ciegas la calidad de las formulaciones con la TEC-F pre y post intervención y también se manipuló aleatoriamente la asignación de dos viñetas estándares. Se calcularon diferencias de medias e indicadores de confiabilidad del instrumento. RESULTADOS: Los valores de coeficientes de correlación intraclase fueron 0,92; 0,94; 0,83; 0,93 y 0,95 y los valores del coeficiente Alfa de Cronbach fueron 0,83; 0,94; 0,63; 0,77 y 0,93, para las dimensiones transparencia, especificidad, comunicación, fundamentación y para el total TEC-F respectivamente. Los resultados del test-retest a 19 días fueron excelentes. La media de calidad total TEC-F precurso fue 31,4 y la media post curso, 38,4 (p = 0,003 y p = 0,001 para prueba grupal y para prueba apareada respectivamente). CONCLUSIONES: La intervención pedagógica produjo una significativa mejoría en la calidad de las formulaciones periciales. El estudio adicionó evidencias sosteniendo la confiabilidad de la TEC-F.
Asunto(s)
Salud Mental , Violencia , Estudios RetrospectivosRESUMEN
This contribution is aimed at an analysis of the dynamics of free-electron density fluctuations in the ionospheric critical plasma frequency f0F2 by using some tools from the theory of nonlinear dynamical systems. The results suggest the existence of low-dimensional attractors that point to a characterization of the free electron density fluctuations in the f0F2 as a deterministic chaotic system. The study carried out focused on the response of the ionosphere to solar activity as a function of the ascending and descending phases of the solar cycle.
RESUMEN
We present a conditional random field approach to tracking-by-detection in which we model pairwise factors linking pairs of detections and their hidden labels, as well as higher order potentials defined in terms of label costs. To the contrary of previous papers, our method considers long-term connectivity between pairs of detections and models similarities as well as dissimilarities between them, based on position, color, and as novelty, visual motion cues. We introduce a set of feature-specific confidence scores, which aim at weighting feature contributions according to their reliability. Pairwise potential parameters are then learned in an unsupervised way from detections or from tracklets. Label costs are defined so as to penalize the complexity of the labeling, based on prior knowledge about the scene like the location of entry/exit zones. Experiments on PETS'09, TUD, CAVIAR, Parking Lot, and Town Center public data sets show the validity of our approach, and similar or better performance than recent state-of-the-art algorithms.