Breastfeeding: Short and Long-Term Benefits to Baby and Mother |
Autore | Wheeler Ben |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (308 p.) |
Soggetto non controllato |
practice
milk bank galactagogues infant twins children perinatal circadian rhythm lactoferrin Aboriginal lipidome infant crying AA risk factors infants EPIC pregnancy Africa ECOWAS involution cortisol educational status low milk supply lactating mammary gland milk flow DHA EWAS breast feeding pregnancy outcomes NTR premature birth omega-3 DNA methylation LC-PUFA omega-6 culturally and linguistically diverse (CALD) vitamin A human milk carbohydrates childhood milk intake neonate fenugreek United Arab Emirates prognosis sensitivity and specificity weaning breastfeeding frequency birth cohort maternal behavior temperament multiple pregnancy mortality breastfeeding Australia hospitalizations cortisone maternal age oligosaccharides milk composition initiation of breastfeeding preterm infant antenatal care infant mortality body composition growth trajectory maternal protein restriction self-efficacy infections gestational age exclusive breastfeeding daily intake ALSPAC maternal stress retinoic acid breast milk metabolome lactation antibiotic use free amino acid maternal anxiety early life nutrition child nutrition parity human milk lactose litter size caesarean section skin-to-skin prolonged lactation vitamin A deficiency fatty acids plasma metabolic parameters breast milk growth glycome caries |
ISBN | 3-03928-922-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Breastfeeding |
Record Nr. | UNINA-9910404076803321 |
Wheeler Ben | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters |
Autore | Sanchez Juanma Lopez |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (334 p.) |
Soggetto non controllato |
artificial neural network
downscaling simulation 3D point cloud European beech consistency adaptive threshold evaluation photosynthesis geographic information system P-band PolInSAR validation density-based clustering structure from motion (SfM) EPIC Tanzania signal attenuation trunk canopy closure REDD+ unmanned aerial vehicle (UAV) forest recursive feature elimination Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) aboveground biomass random forest uncertainty household survey spectral information forests biomass root biomass biomass unmanned aerial vehicle Brazilian Amazon VIIRS global positioning system LAI photochemical reflectance index (PRI) allometric scaling and resource limitation R690/R630 modelling aboveground biomass leaf area index forest degradation spectral analyses terrestrial laser scanning BAAPA leaf area index (LAI) stem volume estimation tomographic profiles polarization coherence tomography (PCT) canopy gap fraction automated classification HemiView remote sensing multisource remote sensing Pléiades imagery photogrammetric point cloud farm types terrestrial LiDAR altitude RapidEye forest aboveground biomass recovery southern U.S. forests NDVI machine-learning conifer forest satellite chlorophyll fluorescence (ChlF) tree heights phenology point cloud local maxima clumping index MODIS digital aerial photograph Mediterranean hemispherical sky-oriented photo managed temperate coniferous forests fixed tree window size drought GLAS smartphone-based method forest above ground biomass (AGB) forest inventory over and understory cover sampling design |
ISBN | 3-03921-240-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Remote Sensing of Leaf Area Index |
Record Nr. | UNINA-9910367563203321 |
Sanchez Juanma Lopez | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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