Breastfeeding: Short and Long-Term Benefits to Baby and Mother
| 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 online resource (308 p.) |
| Soggetto topico | Biology, life sciences |
| Soggetto non controllato |
AA
Aboriginal Africa ALSPAC antenatal care antibiotic use Australia birth cohort body composition breast feeding breast milk breast milk metabolome breastfeeding breastfeeding frequency caesarean section caries child nutrition childhood children circadian rhythm cortisol cortisone culturally and linguistically diverse (CALD) daily intake DHA DNA methylation early life nutrition ECOWAS educational status EPIC EWAS exclusive breastfeeding fatty acids fenugreek free amino acid galactagogues gestational age glycome growth growth trajectory hospitalizations human milk human milk carbohydrates infant infant crying infant mortality infants infections initiation of breastfeeding involution lactating mammary gland lactation lactoferrin lactose LC-PUFA lipidome litter size low milk supply maternal age maternal anxiety maternal behavior maternal protein restriction maternal stress milk bank milk composition milk flow milk intake mortality multiple pregnancy neonate NTR oligosaccharides omega-3 omega-6 parity perinatal plasma metabolic parameters practice pregnancy pregnancy outcomes premature birth preterm infant prognosis prolonged lactation retinoic acid risk factors self-efficacy sensitivity and specificity skin-to-skin temperament twins United Arab Emirates vitamin A vitamin A deficiency weaning |
| 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
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro
| Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro |
| Autore | Fang Hongliang |
| 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 |
9783039212408
3039212400 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367563203321 |
Fang Hongliang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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