Why is VO2 max after altitude acclimatization still reduced despite normalization of arterial O2 content?

[EN] Acute hypoxia (AH) reduces maximal O2 consumption (VO2 max), but after acclimatization, and despite increases in both hemoglobin concentration and arterial O2 saturation that can normalize arterial O2 concentration ([O2]), VO2 max remains low. To determine why, seven lowlanders were studied at VO2 max (cycle ergometry) at sea level (SL), after 9-10 wk at 5,260 m [chronic hypoxia (CH)], and 6 mo later at SL in AH (FiO2 = 0.105) equivalent to 5,260 m. Pulmonary and leg indexes of O2 transport were measured in each condition. Both cardiac output and leg blood flow were reduced by approximately 15% in both AH and CH (P < 0.05). At maximal exercise, arterial [O2] in AH was 31% lower than at SL (P < 0.05), whereas in CH it was the same as at SL due to both polycythemia and hyperventilation. O2 extraction by the legs, however, remained at SL values in both AH and CH. Although at both SL and in AH, 76% of the cardiac output perfused the legs, in CH the legs received only 67%. Pulmonary VO2 max (4.1 +/- 0.3 l/min at SL) fell to 2.2 +/- 0.1 l/min in AH (P < 0.05) and was only 2.4 +/- 0.2 l/min in CH (P < 0.05). These data suggest that the failure to recover VO2 max after acclimatization despite normalization of arterial [O2] is explained by two circulatory effects of altitude: 1) failure of cardiac output to normalize and 2) preferential redistribution of cardiac output to nonexercising tissues. Oxygen transport from blood to muscle mitochondria, on the other hand, appears unaffected by CH.

The ENCARA system for face detection and normalization

[EN]Facial image processing is becoming widespread in human-computer applications, despite its complexity. High-level processes such as face recognition or gender determination rely on low-level routines that must e ectively detect and normalize the faces that appear in the input image. In this paper, a face detection and normalization system is described. The approach taken is based on a cascade of fast, weak classi ers that together try to determine whether a frontal face is present in the image.

Romper el ciclo de la invisibilidad. El empleo como vía para favorecer la inclusión

"[ES] En España las posibilidades de empleo de las personas en riesgo de exclusión social no son satisfactorias. Se trata de un problema que centramos en las concepciones educativas de la enseñanza-aprendizaje inicial, que orientan minoritariamente a la formación para el empleo como a la oferta y demanda de trabajo de esos colectivos. En nuestro sistema educativo de la desatención y marginación del alumnado en riesgo de exclusión social se pasó a la educación especial; luego, a la normalización e integración, lo que condujo a la inclusión educativa. En ese momento final que nos encontramos aparecen visiones innovadoras como la escuela para todos, empleo con apoyo, y vida con apoyo que desarrollan el paradigma de la autonomía y vida independiente. [EN] Employment chances for people in risk of social exclusion are not satisfactory in Spain. This has been a problem at the core of educational conceptions concerning primary education, scarcely orientated towards the employment of such groups. In our system, from margination and neglect of our pupils in risk of social exclusion, we sent them to special education first, then to normalization and integration and finally to inclusive education. Nowadays, innovative visions such as school for all, employment and life with support are developing the model of autonomy and independent life. "

The topic normalized impact factor

[EN] The journal impact factor is not comparable among fields of science because of systematic differences in publication and citation behaviour across disciplines. In this work, a source normalization of the journal impact factor is proposed. We use the aggregate impact factor of the citing journals as a measure of the citation potential in the journal topic, and we employ this citation potential in the normalization of the journal impact factor. An empirical application in a set of 224 journals from four different fields shows that our normalization, using the citation potential in the journal topic, reduces the between-group variance with respect to the within-group variance in a higher proportion than the rest of indicators analysed.