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Es falso que la agricultura superintensiva sea sinónimo de derroche en los insumos
ArtÃculo periodÃstico de una entrevista. 2 páginas.Entrevista aL investigador asegura que los trabajos cientÃficos avalan que un olivar superintensivo consume la mitad de agua que otro tradicionalN
[Trends in the risk of late fetal mortality, prematurity and low birth weight associated with advanced maternal age in Spain [1996-2005]].
OBJECTIVES: To describe trends in fertility, fetal death rate, prematurity and low birth weight, as well as their association with advanced maternal age, in Spain from 1996 to 2005. METHODS: We performed an ecological study. The association between low birth weight and prematurity with maternal age was analyzed through contingency tables. The pattern of fetal mortality rate was analyzed through direct standardization. To study the risk of late fetal mortality, adjusted by age and prematurity, a Poisson regression model was used. RESULTS: The rates of fertility and late fetal mortality increased in women aged more than 35 years, especially in women aged more than 45 years. The risk of late fetal mortality was 2.7 times higher in women aged 45 years and above (rate ratio, 2.7; 95%CI: 1.8-3), with an etiological fraction of exposure of 69% (95%CI: 55.2-78.6). The prevalence rate of prematurity and low birth weight was three times higher in this age group, with a prevalence rate of prematurity of 2.9 (95%CI: 2.7-3.1) and of low birth weight of 3.1 (95%CI: 2.9-3.3). CONCLUSIONS: The high risk found in women aged more than 45 years is explained by the increase in the proportion of pregnancies within this age group during the period analyzed. Further studies in perinatal epidemiology that analyze the impact of assisted reproduction techniques in pregnancies in older women are required, as well as a national registry of assisted reproduction techniques
La Comissió i el Jurat del Ram de Cintes de Manresa (1900-1911) i les Juntes de Reformes Socials
Open Source Virtual Worlds and Low Cost Sensors for Physical Rehab of Patients with Chronic Diseases
For patients with chronic diseases, exercise is a key part of rehab to
deal better with their illness. Some of them do rehabilitation at home with telemedicine
systems. However, keeping to their exercising program is challenging
and many abandon the rehabilitation. We postulate that information technologies
for socializing and serious games can encourage patients to keep doing
physical exercise and rehab. In this paper we present Virtual Valley, a low cost
telemedicine system for home exercising, based on open source virtual worlds
and utilizing popular low cost motion controllers (e.g. Wii Remote) and medical
sensors. Virtual Valley allows patient to socialize, learn, and play group based
serious games while exercising
Object-Based Greenhouse Classification from GeoEye-1 and WorldView-2 Stereo Imagery
Remote sensing technologies have been commonly used to perform greenhouse detection and mapping. In this research, stereo pairs acquired by very high-resolution optical satellites GeoEye-1 (GE1) and WorldView-2 (WV2) have been utilized to carry out the land cover classification of an agricultural area through an object-based image analysis approach, paying special attention to greenhouses extraction. The main novelty of this work lies in the joint use of single-source stereo-photogrammetrically derived heights and multispectral information from both panchromatic and pan-sharpened orthoimages. The main features tested in this research can be grouped into different categories, such as basic spectral information, elevation data (normalized digital surface model; nDSM), band indexes and ratios, texture and shape geometry. Furthermore, spectral information was based on both single orthoimages and multiangle orthoimages. The overall accuracy attained by applying nearest neighbor and support vector machine classifiers to the four multispectral bands of GE1 were very similar to those computed from WV2, for either four or eight multispectral bands. Height data, in the form of nDSM, were the most important feature for greenhouse classification. The best overall accuracy values were close to 90%, and they were not improved by using multiangle orthoimages
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