Advanced Biomaterials for Orthopaedic Application : The Challenge of New Composites and Alloys Used as Medical Devices |
Autore | Affatato Saverio |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (202 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
vitamin-E stabilized PE
cross-linked PE standard PE hip simulator FTIR analysis Ti-28Nb-35.4 alloy powder metallurgy ball milling mechanical properties biocompatibility total hip arthroplasty musculoskeletal multibody model dynamic loading finite element analysis radial clearance dry and wet friction digital image correlation homogeneous strain small deformation level accuracy precision calcium phosphate cements polarization CoCr alloy wear particles hyaluronic acid macrophages biocompatibility UHMWPE tribology h-index bibliometric indicators biomaterials quality of research citations ceramic friction hip implants polyethylene prosthesis simulator wear mandible condylar fractures surgical treatment titanium PLLA Selective Laser Melting Direct Metal Laser Sintering porosity titanium alloys yield strength ultimate tensile strength X-Ray Diffraction computational model biomechanics unicompartmental knee replacement CFR-PEEK varus and valgus alignments bioceramics additive manufacturing scaffolds bone tissue engineering |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Advanced Biomaterials for Orthopaedic Application |
Record Nr. | UNINA-9910557408703321 |
Affatato Saverio | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Design Space Exploration and Resource Management of Multi/Many-Core Systems |
Autore | Singh Amit Kumar |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (218 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
embedded computer systems
cyber security system-level design and design-space exploration multi-objective optimization system trade-offs energy-efficient computing run-time management machine learning concurrent workloads multi-core systems processing-in-memory near-memory processing resource management code annotation compiler optimizations online heuristics energy efficiency 3D-stacked memories non-volatile memories peak-power management many-core directed acyclic task graphs high performance computing data centers resource allocation profit energy consumption reinforcement learning server consolidation RF NoC OFDMA simulator routing reconfigurable Hybrid Application Mapping (HAM) many-core systems embedded systems composability design space exploration (DSE) Network-on-Chip (NoC) real-time guarantees predictability multi/many-core platforms reliability mixed-criticality |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557520303321 |
Singh Amit Kumar | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Metabolomics Data Processing and Data Analysis—Current Best Practices |
Autore | Hanhineva Kati |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (276 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
metabolic networks
mass spectral libraries metabolite annotation metabolomics data mapping nontarget analysis liquid chromatography mass spectrometry compound identification tandem mass spectral library forensics wastewater gut microbiome meta-omics metagenomics metabolomics metabolic reconstructions genome-scale metabolic modeling constraint-based modeling flux balance host–microbiome metabolism global metabolomics LC-MS spectra processing pathway analysis enrichment analysis mass spectrometry liquid chromatography MS spectral prediction metabolite identification structure-based chemical classification rule-based fragmentation combinatorial fragmentation time series PLS NPLS variable selection bootstrapped-VIP data repository computational metabolomics reanalysis lipidomics data processing triplot multivariate risk modeling environmental factors disease risk chemical classification in silico workflows metabolome mining molecular families networking substructures mass spectrometry imaging metabolomics imaging biostatistics ion selection algorithms liquid chromatography high-resolution mass spectrometry data-independent acquisition all ion fragmentation targeted analysis untargeted analysis R programming full-scan MS/MS processing R-MetaboList 2 liquid chromatography–mass spectrometry (LC/MS) fragmentation (MS/MS) data-dependent acquisition (DDA) simulator in silico untargeted metabolomics liquid chromatography–mass spectrometry (LC-MS) experimental design sample preparation univariate and multivariate statistics metabolic pathway and network analysis LC–MS metabolic profiling computational statistical unsupervised learning supervised learning |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557354403321 |
Hanhineva Kati | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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