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Novel Biomarkers in Alzheimer's Disease
| Novel Biomarkers in Alzheimer's Disease |
| Autore | Villa Chiara |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (442 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
flotillin
Alzheimer's disease biomarker exosomes beta-amyloid Tau aging biomarkers cytokines cognitive decline metabolomics neuroinflammation multivariate analysis physical performance person-tailored PET/CT (18F)FDG neuropsychological assessment APP mutations APOE alleles PSEN1 PSEN2 germline mutations late onset AD early onset AD familial AD genetics of AD mitochondrial spare respiratory capacity mitochondrial membrane potential glycolytic reserve semantic memory phonemic fluency episodic memory neuropsychology neuroimaging mild cognitive impairment EEG TMS obesity diabetes inflammation Amyloid Beta mitochondrial dysfunction nutrition omega-3 fatty acids antioxidant carotenoids vitamin E cognition older adults ageing subjective cognitive decline clock genes Clock ApoE cardiovascular risk factors Alzheimer disease semantic priming amyloid beta cerebrospinal fluid amyloid beta peptide total tau phosphorylated tau diagnosis drug development clinical trials diagnostic research virus bacteria dementia blood behavioral and psychological symptoms of dementia (BPSD) Alzheimer's disease (AD) neuropsychiatry inventory scale (NPI) endophenotypes CART analysis MTHFR APOE COMT genetic variants early diagnosis biofluids amyloid cascade hypothesis glucose metabolism adipose tissue dysfunction energetic metabolism lysosomes dysfunction Type-3-Diabetes neurodegeneration amyloid tau soluble TREM2 NfL Multiplex SiMoA diagnostics messenger RNA microRNA neurotropic microbes precision medicine prognostics synaptic biomarkers neurofilament light chain |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557129403321 |
Villa Chiara
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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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Structural Prognostics and Health Management in Power & Energy Systems
| Structural Prognostics and Health Management in Power & Energy Systems |
| Autore | Wang Dong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto non controllato |
empirical mode decomposition
underground powerhouse sensitivity analysis DNN fault detection neural networks structural health monitoring analysis mode decomposition dynamic analysis of the structure residual useful life renewable energy remaining useful life retrofitting activities wind turbine blade optimized deep belief networks strain prediction offshore wind turbines low frequency tail fluctuation oil and gas platforms supporting vector machine (SVM) wave–structure interaction (WSI) sifting stop criterion probabilistic analyses of stochastic processes and frequency mode mixing non-probabilistic reliability index data-driven prognostics turbine blisk wind turbines supervisory control and data acquisition system fuzzy safety criterion analysis-empirical mode decomposition rotation of hydraulic generator life cycle cost health monitoring reliability wavelet decomposition weighted regression similarity-based approach vibration transmission mechanism wind and wave analysis full-scale static test deep learning multioperation condition extremum surface response method lithium-ion battery vibration test lateral-river vibration operational modal analysis dynamic analysis regeneration phenomenon machine learning prognostic and Health Management offshore structures NAR neural network techno-economic assessments stochastic subspace identification vertical axis wind turbine dynamic fuzzy reliability analysis |
| ISBN | 3-03921-767-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372782603321 |
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Wang Dong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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