Quercus pollen and meteorological data for several years from eight sites in Spain have been stat... more Quercus pollen and meteorological data for several years from eight sites in Spain have been statistically analysed to select the threshold temperature and calculate the mean heat accumulation for predicting the Quercus pollination start in different climatic areas. The growing degree days method, which assumes the daily temperature varies as a sine wave, was used for heat accumulation calculations. Threshold temperatures between 4 and 12 • C were chosen using linear regression equations forced through the origin and their root mean square error (RMSE) of predicted against the observed dates for each observation site. Above the threshold, the average growing degree days (up to 1999) for the studied years was taken as the predictor value. Results showed a relationship between the selected threshold and elevation and a stronger and statistically significant correlation between threshold and yearly mean temperature, for each site. Regression analysis indicated that the selected threshold and the calculated heat accumulation were optimum for most of the localities. The validity of the results was tested using the meteorological data for the year 2000 as independent variable and this confirmed that there were only a few days difference between the predicted and observed day of the first pollen release for most of the studied localities.
This paper describes a comprehensive combination of feature extraction methods for vision-based p... more This paper describes a comprehensive combination of feature extraction methods for vision-based pedestrian detection in the framework of intelligent transportation systems. The basic components of pedestrians are first located in the image and then combined with a SVM-based classifier. This poses the problem of pedestrian detection in real, cluttered road images. Candidate pedestrians are located using a subtractive clustering attention mechanism based on stereo vision. A by-components learning approach is proposed in order to better deal with pedestrians variability, illumination conditions, partial occlusions, and rotations. Extensive comparisons have been carried out using different feature extraction methods, as a key to image understanding in real traffic conditions. A database containing thousands of pedestrian samples extracted from real traffic images has been created for learning purposes, either at daytime and nighttime. The results achieved up to date show interesting conclusions that suggest a combination of feature extraction methods as an essential clue for enhanced detection performance
This article focuses on an attempt to integrate evidence-based engagement interventions into ''re... more This article focuses on an attempt to integrate evidence-based engagement interventions into ''real world'' outpatient child mental health settings in order to increase access to care for urban youth and their families. More specifically, empirical support for introducing engagement interventions into child clinical settings will be reviewed. Then, specific engagement interventions that are delivered during the initial telephone contact with a child's adult caregiver or during the first face-to-face contact with a child and family are described with attention paid to the training necessary to assist service providers in adopting this change in practice. Factors that serve to facilitate or impede adoption of evidence-based engagement interventions are also reviewed. Finally, preliminary evidence for the effectiveness of integrating such evidence-supported approaches is presented. [Brief Treatment and Crisis Intervention 4:177-186 (2004)] KEY WORDS: engagement, access, child mental health service use, evidence-based interventions.
Enkephalins are one of the opioids present in human semen and to date their function in this tiss... more Enkephalins are one of the opioids present in human semen and to date their function in this tissue remains unknown. The present work studies enkephalin-degrading enzyme activities, puromycin-sensitive alanyl aminopeptidase (AAP-S), puromycin-insensitive alanyl aminopeptidase N (Ap N) and neprilysin (NEP) in human seminal fractions. AAP-S activity was not detected in any fractions, whereas Ap N appeared in soluble and particulate sperm fractions in seminal fluid and in prostasome fraction. With regard to NEP activity, this was exclusively located in prostasome membranes. The high activity values observed in the prostasome fraction suggested that these peptidases and their substrates could be involved in seminal physiology.
Quercus pollen and meteorological data for several years from eight sites in Spain have been stat... more Quercus pollen and meteorological data for several years from eight sites in Spain have been statistically analysed to select the threshold temperature and calculate the mean heat accumulation for predicting the Quercus pollination start in different climatic areas. The growing degree days method, which assumes the daily temperature varies as a sine wave, was used for heat accumulation calculations. Threshold temperatures between 4 and 12 • C were chosen using linear regression equations forced through the origin and their root mean square error (RMSE) of predicted against the observed dates for each observation site. Above the threshold, the average growing degree days (up to 1999) for the studied years was taken as the predictor value. Results showed a relationship between the selected threshold and elevation and a stronger and statistically significant correlation between threshold and yearly mean temperature, for each site. Regression analysis indicated that the selected threshold and the calculated heat accumulation were optimum for most of the localities. The validity of the results was tested using the meteorological data for the year 2000 as independent variable and this confirmed that there were only a few days difference between the predicted and observed day of the first pollen release for most of the studied localities.
This paper describes a comprehensive combination of feature extraction methods for vision-based p... more This paper describes a comprehensive combination of feature extraction methods for vision-based pedestrian detection in the framework of intelligent transportation systems. The basic components of pedestrians are first located in the image and then combined with a SVM-based classifier. This poses the problem of pedestrian detection in real, cluttered road images. Candidate pedestrians are located using a subtractive clustering attention mechanism based on stereo vision. A by-components learning approach is proposed in order to better deal with pedestrians variability, illumination conditions, partial occlusions, and rotations. Extensive comparisons have been carried out using different feature extraction methods, as a key to image understanding in real traffic conditions. A database containing thousands of pedestrian samples extracted from real traffic images has been created for learning purposes, either at daytime and nighttime. The results achieved up to date show interesting conclusions that suggest a combination of feature extraction methods as an essential clue for enhanced detection performance
This article focuses on an attempt to integrate evidence-based engagement interventions into ''re... more This article focuses on an attempt to integrate evidence-based engagement interventions into ''real world'' outpatient child mental health settings in order to increase access to care for urban youth and their families. More specifically, empirical support for introducing engagement interventions into child clinical settings will be reviewed. Then, specific engagement interventions that are delivered during the initial telephone contact with a child's adult caregiver or during the first face-to-face contact with a child and family are described with attention paid to the training necessary to assist service providers in adopting this change in practice. Factors that serve to facilitate or impede adoption of evidence-based engagement interventions are also reviewed. Finally, preliminary evidence for the effectiveness of integrating such evidence-supported approaches is presented. [Brief Treatment and Crisis Intervention 4:177-186 (2004)] KEY WORDS: engagement, access, child mental health service use, evidence-based interventions.
Enkephalins are one of the opioids present in human semen and to date their function in this tiss... more Enkephalins are one of the opioids present in human semen and to date their function in this tissue remains unknown. The present work studies enkephalin-degrading enzyme activities, puromycin-sensitive alanyl aminopeptidase (AAP-S), puromycin-insensitive alanyl aminopeptidase N (Ap N) and neprilysin (NEP) in human seminal fractions. AAP-S activity was not detected in any fractions, whereas Ap N appeared in soluble and particulate sperm fractions in seminal fluid and in prostasome fraction. With regard to NEP activity, this was exclusively located in prostasome membranes. The high activity values observed in the prostasome fraction suggested that these peptidases and their substrates could be involved in seminal physiology.
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