Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Implementation of Digital Technologies on Beverage Fermentation
| Implementation of Digital Technologies on Beverage Fermentation |
| Autore | Viejo Claudia Gonzalez |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
| Soggetto non controllato |
sensor networks
automation beer acceptability beer fermentation RoboBEER machine learning ultrasonic measurements long short-term memory industrial digital technologies yeast morphology automated image analysis heat stress vacuoles cell size computer vision foam stability image analysis lager beer foam retention polyphenols LC-ESI-QTOF-MS/MS HPLC medicinal plants ginger lemon mint herbal tea infusion antioxidants black pepper focus group hops Kawakawa off aromas gas sensors robotic pourer aroma thresholds climate change artificial neural networks volatile phenols glycoconjugates bushfires sparkling wine fermentation biogenic amines wine quality liquid chromatography principal component analysis augmented reality non-dairy yogurt contexts consumer acceptability emotional responses Fermentation Olea europaea respiration rate storage conditions transport TeeBot high throughput liquid handling robot metabolite analysis stochastic dynamic optimisation uncertainty |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566460503321 |
Viejo Claudia Gonzalez
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning in Image Analysis and Pattern Recognition
| Machine Learning in Image Analysis and Pattern Recognition |
| Autore | Kumar Munish |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (112 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
machine learning
deep learning image processing classification tea fermentation automated image coding data collection methods interdisciplinary learning theory research methods systematic literature review visitor use management image classification multi-instance learning divergence dissimilarity bag-to-class Kullback–Leibler segment-based temporal modeling two-stream network action recognition internet of things detection dataset plant disease recognition image segmentation aphid Aphoidea lemon breast cancer mammogram dataset ultrasound breast cancer scans BI-RADS clinical data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557522603321 |
|
Kumar Munish
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Plant Natural Products for Human Health
| Plant Natural Products for Human Health |
| Autore | Zhang Hongjie |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (514 p.) |
| Soggetto non controllato |
PhGs
bitter orange immunomodulator A549 cells bergapten triptolide BMP/Smad phytochemicals antioxidant enzymes kumquat MTT assay HepaRG cells human health nanoparticles dendritic cells drug discovery biofilm catechin antitubercular activity Panax notoginseng saponins animals mouse-hair growth A? curcumin WNT/?-catenin copaiba AD Plasmodium parasites traditional medicine procyanidin A2 PET inhibition rheumatoid arthritis cannabinoid type 1 receptor iridoids inflammatory bowel disease acute liver injury human-hair-follicle dermal papilla cells Neuroprotective dihydromyricetin AMPK thromboembolism ginseng drug design and development endoplasmic reticulum stress mitogen-activated protein kinase Nrf2 prenylated flavonoids inflammation preclinical studies plants dietary supplements Glycyrrhiza uralensis aspirin Tripterygium wilfordii P. eryngii reperfusion ethnopharmacology glucans innovation hpatoprotection hinokitiol phytocannabinoid antistaphylococcal activity Shh/Gli green tea sesquiterpenoids adjuvant-induced arthritis yuzu hepatotoxicity p53/Bax Keap1 nuclear factor-kappaB oxidative stress pharmacokinetic study cinnamamides toxicity APAP Astragali Radix computational softwares plant natural product onion anti-malaria activity lipogenesis bleeding time diterpenoids Penthorum chinense Pursh myocardial hypertrophy automation adjuvant grapefruit melanoma cell essential oil sweet orange Amadori rearrangement compounds heme oxygenase global health calorie restriction bergamot liposomes EGCG celastrol herb–drug interactions cannabigerol anti-inflammation OH· free radical molecular targets gluconeogenesis microbiome SIRT1 fucoidan heart PC12 cells acetaminophen omics time-kill assay arthritis lychee seed bioinformatics structure–activity relationship precision medicine orange petitgrain immune modulation antiproliferation flavonoids scoulerine oleoresin triterpenic acids Cannabis sativa NAFLD biological activity differentiation oxygen consumption rate mitochondrial bioenergetics neroli apoptosis targeted delivery platelet activation protein kinase heat-process hepatic steatosis hyperglycemia natural products lemon genistein neuroinflammation astragaloside IV cytoxicity flavonoid paracetamol medicinal plants insulin resistance resveratrol mandarin garlic TGF-? morin hydrate sirtuin 3 MMPs gomisin N lime Ziziphus jujuba antifungal activity ischemia migration caspases small molecules |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688103321 |
|
Zhang Hongjie
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||