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Extracellular Vesicles: Biology and Potentials in Cancer Therapeutics
| Extracellular Vesicles: Biology and Potentials in Cancer Therapeutics |
| Autore | Cho William |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (394 p.) |
| Soggetto topico | Medicine and Nursing |
| Soggetto non controllato |
adipose tissue origin mesenchymal stem cells
biomarker biomarker reservoirs biomarkers cancer cancer biomarker cancer diagnostics cancer therapeutic CD44 cell-to-cell communication diagnostic diagnostic biomarker differential ultracentrifugation disease monitoring drug carrier drug delivery drug delivery vehicle ectosomes ES-2 exosome exosomes extracellular vesicle extracellular vesicles flow cytometry glioblastoma head and neck squamous cell carcinoma (HNSCC) HIV-1 Nef human milk imaging flow cytometry immunophenotyping immunoprecipitation ionising radiation isolation large EVs liquid biopsy lymph node lysosome macrophage polarization mannose receptor melanoma cell-derived exosomes (MTEX) microbiota microRNA microRNAs microvesicle microvesicles n/a nanocarriers nanocommunicator neoplasia non-targeted effects nutrient OAW-42 ovarian cancer cells personalized cancer immunotherapy precision oncology prostate cancer proteomics purification signalling size exclusion chromatography size-exclusion chromatography small extracellular vesicles small extracellular vesicles (sEV) solid tissue spleen sucrose density cushion swarm detection therapeutic agents therapy tumor microenvironment tumor-associated macrophages tumor-derived exosomes (TEX) ultracentrifugation ultrasound |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Extracellular Vesicles |
| Record Nr. | UNINA-9910557555303321 |
Cho William
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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UAVs for Vegetation Monitoring
| UAVs for Vegetation Monitoring |
| Autore | de Castro Megías Ana |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (452 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Acacia
agro-environmental measures artificial intelligence artificial neural network banana broad-sense heritability canopy cover canopy height century-old biochar chlorophyll content CIELab classification close remote sensing CNN container-grown contextual spatial domain/resolution convolution neural network cotton root rot crop canopy crop disease crop mapping crop monitoring curve fitting data aggregation deep learning detection performance disease detection disease diagnosis disease monitoring drone drought tolerance eddy covariance (EC) evapotranspiration (ET) Faster RCNN flight altitude forage grass forest Fusarium wilt Glycine max GRAPEX growth model high throughput field phenotyping HSV hyperspectral image analysis image segmentation Inception v2 individual plant segmentation Indonesia inference time land cover least squares support vector machine machine learning maize tassel method comparison MobileNet v2 multiple linear regression multiscale textures multispectral multispectral image multispectral imagery multispectral remote sensing NDVI neural network nitrogen stress nutrient deficiency oil palm olive groves operating parameters ornamental patch-based CNN phenotyping gap plant detection plant nitrogen estimation plant segmentation plant trails plant-by-plant plant-level precision agriculture purple rapeseed leaves random forest red-edge spectra remote sensing remote sensing technique RGB RGB camera RGB imagery semantic segmentation single-plant solar zenith angle southern Spain spatial resolution SSD sUAS support vector machine tassel branch number texture thermal thermal camera time of day transfer learning transpiration tropics Two Source Energy Balance model (TSEB) U-Net UAS UAV UAV digital images UAV hyperspectral UAV remote sensing unmanned aerial vehicle variable importance vegetation cover vegetation ground cover vegetation index vegetation indices VGG16 visual recognition water stress weed detection wheat yellow rust winter wheat biomass |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557661103321 |
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de Castro Megías Ana
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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