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Advanced Biomaterials for Orthopaedic Application : The Challenge of New Composites and Alloys Used as Medical Devices
| 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 online resource (202 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
accuracy
additive manufacturing ball milling bibliometric indicators bioceramics biocompatibility biomaterials biomechanics bone tissue engineering calcium phosphate cements ceramic CFR-PEEK citations CoCr alloy computational model cross-linked PE digital image correlation Direct Metal Laser Sintering dry and wet friction dynamic loading finite element analysis friction FTIR analysis h-index hip hip simulator homogeneous strain hyaluronic acid implants macrophages biocompatibility mandible condylar fractures mechanical properties musculoskeletal multibody model n/a PLLA polarization polyethylene porosity powder metallurgy precision prosthesis quality of research radial clearance scaffolds Selective Laser Melting simulator small deformation level standard PE surgical treatment Ti-28Nb-35.4 alloy titanium titanium alloys total hip arthroplasty tribology UHMWPE ultimate tensile strength unicompartmental knee replacement varus and valgus alignments vitamin-E stabilized PE wear wear particles X-Ray Diffraction yield strength |
| 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
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| 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
| 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 online resource (218 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D-stacked memories
code annotation compiler optimizations composability concurrent workloads cyber security data centers design space exploration (DSE) directed acyclic task graphs embedded computer systems embedded systems energy consumption energy efficiency energy-efficient computing high performance computing Hybrid Application Mapping (HAM) machine learning many-core many-core systems mixed-criticality multi-core systems multi-objective optimization multi/many-core platforms near-memory processing Network-on-Chip (NoC) NoC non-volatile memories OFDMA online heuristics peak-power management predictability processing-in-memory profit real-time guarantees reconfigurable reinforcement learning reliability resource allocation resource management RF routing run-time management server consolidation simulator system trade-offs system-level design and design-space exploration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557520303321 |
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Singh Amit Kumar
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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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Intelligent Soft Sensors
| Intelligent Soft Sensors |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
affective computing
bioprocess monitoring BIS index computerized adaptive testing (CAT) D-S evidence theory depth of hypnosis early fire warning EDA electrical resistance executive functions extended Kalman filter extreme learning machine frequency analysis general anesthesia hybrid feature fusion image feature extraction improved mathematical model improved particle swarm algorithm intelligent building system joule heating effect keyframe extraction kinetic model least squares support vector machine modelling multi-source data fusion n/a neurodevelopmental disorders non-linear models nonlinear regression model nonlinear systems observability outliers physiological signals Pichia pastoris population-data-based model prognostic and health management propofol Raman residual model robust observer self-sensing actuation sensor selection shape memory coil simulator sintering quality prediction soft sensor soft sensors soft-sensor based diagnosis spectroscopy state estimation stress detection support vector machine regression model target-controlled infusion total intravenous anesthesia transfer learning variable selection variable stiffness actuation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743269003321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metabolomics Data Processing and Data Analysis-Current Best Practices
| 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 online resource (276 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
all ion fragmentation
biostatistics bootstrapped-VIP chemical classification combinatorial fragmentation compound identification computational metabolomics computational statistical constraint-based modeling data processing data repository data-dependent acquisition (DDA) data-independent acquisition disease risk enrichment analysis environmental factors experimental design flux balance forensics fragmentation (MS/MS) full-scan MS/MS processing genome-scale metabolic modeling global metabolomics gut microbiome host-microbiome in silico in silico workflows ion selection algorithms LC-MS lipidomics liquid chromatography liquid chromatography high-resolution mass spectrometry liquid chromatography mass spectrometry liquid chromatography-mass spectrometry (LC-MS) liquid chromatography-mass spectrometry (LC/MS) mass spectral libraries mass spectrometry mass spectrometry imaging meta-omics metabolic networks metabolic pathway and network analysis metabolic profiling metabolic reconstructions metabolism metabolite annotation metabolite identification metabolome mining metabolomics metabolomics data mapping metabolomics imaging metagenomics molecular families MS spectral prediction multivariate risk modeling networking nontarget analysis NPLS pathway analysis PLS R programming R-MetaboList 2 reanalysis rule-based fragmentation sample preparation simulator spectra processing structure-based chemical classification substructures supervised learning tandem mass spectral library targeted analysis time series triplot univariate and multivariate statistics unsupervised learning untargeted analysis untargeted metabolomics variable selection wastewater |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557354403321 |
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Hanhineva Kati
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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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