5 resultados para statistical significance

em Universidad de Alicante


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Antecedentes: la obesidad es un problema de salud pública en España. Los medios de comunicación son una herramienta útil para la salud pública. Objetivo: explorar el tratamiento periodístico de la obesidad en la prensa escrita española durante 2000-2005, frecuencia de aparición, fuentes de información y enfoques, en relación con el contexto social. Materiales y métodos: análisis de contenido cuantitativo de 690 noticias publicadas en El País, El Mundo y ABC. Cálculo de frecuencias y odds ratio (OR) con intervalos de confianza (IC) del 95% y significación estadística. Resultados: incrementaron las noticias de 2000 (n=25) a 2005 (n=185). Se centraron en denuncias (36,4%) y magnitud del problema (15,7%), en detrimento de aquellas sobre iniciativas-estrategias políticas (3,8%). Destacan los hombres como fuentes informativas principales (75,5%) y las mujeres como primeras firmantes de las noticias (56,1%). Los hombres del ámbito médico-sanitario (OR=1,98;IC95%,1,11-3,57) y las mujeres del ámbito político (OR=2,54;IC95%1,46-4,42) tienen mayor probabilidad de ser la fuente informativa principal. Conclusiones: la cobertura periodística de la obesidad durante 2000-2005 aumentó, coincidiendo con el desarrollo de respuestas políticas en torno al tema. Principalmente, se denuncia el problema. Destaca la escasa cobertura periodística de iniciativas-estrategias políticas, sugiriendo incipiente interacción entre la agenda política y mediática.

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This paper proposes a new feature representation method based on the construction of a Confidence Matrix (CM). This representation consists of posterior probability values provided by several weak classifiers, each one trained and used in different sets of features from the original sample. The CM allows the final classifier to abstract itself from discovering underlying groups of features. In this work the CM is applied to isolated character image recognition, for which several set of features can be extracted from each sample. Experimentation has shown that the use of CM permits a significant improvement in accuracy in most cases, while the others remain the same. The results were obtained after experimenting with four well-known corpora, using evolved meta-classifiers with the k-Nearest Neighbor rule as a weak classifier and by applying statistical significance tests.

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This study examined the reliability and validity evidence drawn from the scores of the French version of the Questionnaire about Interpersonal Difficulties for Adolescents (QIDA) in a sample of 957 adolescents (48.5% boys) ranging in age from 11 to 18 years (M = 14.48, SD = 1.85). A principal axis factoring (PAF) and confirmatory factor analyses (CFA) were performed to determine the fit of the factor structure of scores on the QIDA. PAF and CFA replicated the previously identified correlated five-factor structure of the QIDA: Assertiveness, Heterosexual Relationships, Public Speaking, Family Relationships, and Close Friendships. The QIDA yielded acceptable reliability scores for French adolescents. Validity evidence of QIDA was also established through correlations with scores on the School Anxiety Inventory and the Social Anxiety Scale for Adolescents. Most of the correlations were positive and exceeded the established criteria of statistical significance, but the magnitude of these varied according to the scales of the QIDA. Results supported the reliability and validity evidence drawn from the scores of the French version of the QIDA.

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The growing economic and environmental importance of managing water resources at a global level also entails greater efforts and interest in improving the functioning and efficiency of the increasingly more numerous wastewater treatment plants (WWTPs). In this context, this study analyzes the efficiency of a uniform sample of plants of this type located in the region of Valencia (Spain). The type of efficiency measure used for this (conditional order-m efficiency) allows continuous and discrete contextual variables to be directly involved in the analysis and enables the assessment of their statistical significance and effect (positive or negative). The main findings of the study showed that the quality of the influent water and also the size and age of the plants had a significant influence on their efficiency levels. In particular, as regards the effect of such variables, the findings pointed to the existence of an inverse relationship between the quality of the influent water and the efficiency of the WWTPs. Also, a lower annual volume of treated water and more modern installations showed a positive influence. Additionally, the average efficiency levels observed turned out to be higher than those reported in previous studies.

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Although hydrothermal carbonization of biomass components is known to be mainly governed by reaction temperature, consistent reports on the effect and statistical significance of process conditions on hydrochar properties are still lacking. The objective of this research was to determine the importance and significance of reaction temperature, retention time and solid load on the properties of hydrochar produced from an industrial lignocellulosic sludge residue. According to the results, reaction temperature and retention time had a statistically significant effect on hydrochar ash content, solid yield, carbon content, O/C-ratio, energy densification and energy yield as reactor solid load was statistically insignificant for all acquired models within the design range. Although statistically significant, the effect of retention time was 3–7 times lower than that of reaction temperature. Predicted dry ash-free solid yields of attained hydrochar decreased to approximately 40% due to the dissolution of biomass components at higher reaction temperatures, as respective oxygen contents were comparable to subbituminous coal. Significant increases in the carbon contents of hydrochar led to predicted energy densification ratios of 1–1.5 with respective energy yields of 60–100%. Estimated theoretical energy requirements of carbonization were dependent on the literature method used and mainly controlled by reaction temperature and reactor solid load. The attained results enable future prediction of hydrochar properties from this feedstock and help to understand the effect of process conditions on hydrothermal treatment of lignocellulosic biomass.