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Application of Bioinformatics in Cancers
| Application of Bioinformatics in Cancers |
| Autore | Brenner J. Chad |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (418 p.) |
| Soggetto topico | Biotechnology |
| Soggetto non controllato |
activation induced deaminase
AID/APOBEC alternative splicing anti-cancer artificial intelligence bioinformatics Bioinformatics tool biomarker discovery biomarker signature biomarkers biostatistics brain brain metastases breast cancer breast cancer detection breast cancer prognosis Bufadienolide-like chemicals cancer cancer biomarker cancer biomarkers cancer CRISPR cancer modeling cancer prognosis cancer treatment cancer-related pathways cell-free DNA chemotherapy circulating tumor DNA (ctDNA) classification clinical/environmental factors colorectal cancer comorbidity score Computational Immunology concatenated deep feature copy number aberration copy number variation curation curative surgery datasets decision support systems deep learning denoising autoencoders differential gene expression analysis diseases genes DNA DNA sequence profile drug resistance epigenetics erlotinib estrogen extreme learning false discovery rate feature extraction and interpretation feature selection firehose functional analysis gefitinib gene expression analysis gene inactivation biomarkers gene loss biomarkers gene signature extraction genomic instability GEO DataSets head and neck cancer health strengthening herb hierarchical clustering analysis high-throughput analysis histopathological imaging histopathological imaging features HNSCC hormone sensitive cancers HP hTERT imaging independent prognostic power interaction intratumor heterogeneity knockoffs KRAS mutation locoregionally advanced machine learning meta-analysis methylation microarray miRNA miRNAs mitochondrial metabolism mixture of normal distributions molecular mechanism molecular subtypes Monte Carlo mortality multiple-biomarkers mutable motif mutation Neoantigen Prediction network analysis Network Analysis network pharmacology network target neurological disorders next generation sequencing observed survival interval omics omics profiles oral cancer ovarian cancer overall survival pancreatic cancer pathophysiology PD-L1 precision medicine predictive model protein R package RNA self-organizing map single-biomarkers single-cell sequencing skin cutaneous melanoma somatic mutation StAR steroidogenic enzymes survival analysis TCGA TCGA mining telomerase telomeres The Cancer Genome Atlas traditional Chinese medicine transcriptional signatures treatment de-escalation tumor tumor infiltrating lymphocytes tumor microenvironment variable selection |
| ISBN | 3-03921-789-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367743403321 |
Brenner J. Chad
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Cognitive Sciences
| Applied Cognitive Sciences |
| Autore | Kovari Attila |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (292 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
computer adaptive testing
code tracing basic programming skills internet of thing (IoT) eye tracking heart rate (HR) measurements data analysis Internet addiction dysfunctional emotions coping strategies emotional problems human-AI interaction interaction design Kansei engineering user satisfaction voice-based intelligent system dynamic gesture recognition gesture spotting self-organizing map computational psychology computational cognitive modeling machine learning concept blending conceptual combinations recall computational creativity cognition instance selection clustering information processing cognitive aspects remote virtual simulation incident commander user experiences problem solving decision making assessment learning privacy-preserving computations homomorphic encryption EEG signals school children functional vision vision screening vision training eye-tracking stakeholders human-robot interaction social gaze eye-to-eye contact emotional interfaces eye-brain-computer interfaces attention reflection usability brain hemispheric lateralization online educational material instructional design methodology model virtual reality virtual environment stress spaceflight training EEG emotion neural networks M3GP BED Emotiv multiclass deep learning traffic accident spatially prolonged risk Gestalt proximity open data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595068903321 |
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Kovari Attila
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Coastal Waters Monitoring Using Remote Sensing Technology
| Coastal Waters Monitoring Using Remote Sensing Technology |
| Autore | Vignudelli Stefano |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (498 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
ACOLITE
ADG/CDOM colored dissolved organic matter aerial drone along-track interferometric synthetic aperture radar (ATI-SAR) Arctic Ocean Ariake Sea atmospheric correction azimuth ambiguity backscattering band registration baseline-to-platform speed ratio estimation bathymetry inversion black pixel assumption Black Sea C2RCC Chattonella spp chlorophyll-a variability climate change impact coastal flooding coastal geomorphology coastal ocean coastal processes coastal upwelling coastal urban centers coastal waters Copernicus programme current line-of-sight (LOS) velocity diffuse attenuation coefficient empirical orthogonal function frontal zones GNSS GOCI harmful algal blooms HF marine radars high frequency radar hurricanes image augmentation in situ measurements Inner Sea of Chiloé internal waves land subsidence Landsat-8 OLI lidar management marine storms Mediterranean sea Mekong Delta Micasense Rededge-M model data MODIS MODIS-Aqua morphological registration multi-scale monitoring multi-temporal approach multi-temporal SAR interferometry multispectral camera MUR SST Mzymta River natural hazards natural protected areas neural networks northern Patagonia ocean color ocean color data ocean surface circulation ocean tidal backwater ocean tide model Pearl River estuary physics-based inversion method phytoplankton remote sensing Puerto Rico radon transform red tides relative sea level change remote sensing river discharge river plume S-EOF satellite satellite altimetry satellite altimetry data satellite remote sensing satellite-derived bathymetry sea waves sea-surface height sediment transport self-organizing map Sentinel 3 Sentinel-2 Sentinel-2 MSI Skeletonema spp small river plume southwestern Puerto Rico spatial-temporal distribution spring-neap tides SST fronts stage-discharge relation steric-effect storm surge suspended particulate matter suspended sediment synoptic characteristics time-series total suspended sediment turbid waters turbidity Typhoon Soudelor VIIRS water quality wave energy wave radar wind forcing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566467303321 |
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Vignudelli Stefano
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (376 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference system (ANFIS)
ANFIS ANN ANN-based models artificial intelligence artificial neural network artificial neural networks backtracking search optimization algorithm (BSA) bat algorithm bees algorithm big data classification and regression trees (CART) convolutional neural networks cultural algorithm data assimilation data forward prediction data scarce basins data science database decision tree deep learning disasters Dongting Lake early flood warning systems empirical wavelet transform ensemble empirical mode decomposition (EEMD) ensemble machine learning ensemble technique extreme event management extreme learning machine (ELM) flash-flood flood events flood forecast flood forecasting flood inundation map flood prediction flood routing flood susceptibility modeling forecasting Google Maps Haraz watershed high-resolution remote-sensing images hybrid & hybrid neural network hydrograph predictions hydroinformatics hydrologic model hydrologic models hydrometeorology improved bat algorithm invasive weed optimization Karahan flood lag analysis Lower Yellow River LSTM LSTM network machine learning machine learning methods method of tracking energy differences (MTED) micro-model monthly streamflow forecasting Muskingum model natural hazards & nonlinear Muskingum model optimization parameters particle filter algorithm particle swarm optimization phase space reconstruction postprocessing precipitation-runoff rainfall-runoff random forest rating curve method real-time recurrent nonlinear autoregressive with exogenous inputs (RNARX) runoff series self-organizing map self-organizing map (SOM) sensitivity soft computing St. Venant equations stopping criteria streamflow predictions superpixel support vector machine survey the Three Gorges Dam the upper Yangtze River time series prediction uncertainty urban water bodies water level forecast Wilson flood wolf pack algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Use of Water Stable Isotopes in Hydrological Process
| Use of Water Stable Isotopes in Hydrological Process |
| Autore | Vreča Polona |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (296 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
2H/1H and 18O/16O
3H- and 14C-dating alluvial aquifer alluvial fan altitude effect amount-weighted mean atmospheric sulfate bacterial sulfate reduction Chandra Basin China confidence continental effect Croatia d-excess deuterium and oxygen-18 deuterium excess elevation effect fine root system groundwater groundwater recharge Hungary hydrogen hydrogeological conceptual model hydrograph separation HYSPLIT model inverse modeling isotope hydrology isotopic composition of water isotopic techniques karstic springs linear regression local meteoric water line major ions measurement traceability mineralization of organic matter moisture source MWL validation Naqu River basin networks and data bases oxygen oxygen isotopes paddy rice field peatland precipitation precipitation (rain and snow) precipitation amount effect prediction and generalized intervals Qinghai-Tibet Plateau radon Red River's delta regionalization saltwater intrusion self-organizing map sensitivity analysis Slovenia soil hydraulic parameters estimation soil water spatial variations specific ablation stable isotope ratios stable isotopes stable isotopes D and 18O stable nitrate isotopes stable water isotope stable water isotopes statistical evaluation sulfide oxidation sulfur isotopes surface water Sutri Dhaka temperature effect tritium unconfined aquifer vadose zone Varaždin area Vietnam water cycle water isotopic signature water management Western Himalaya Zagreb δ18O-temperature relation δ2H |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557290503321 |
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Vreča Polona
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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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Volcanic Processes Monitoring and Hazard Assessment Using Integration of Remote Sensing and Ground-Based Techniques
| Volcanic Processes Monitoring and Hazard Assessment Using Integration of Remote Sensing and Ground-Based Techniques |
| Autore | Calvari Sonia |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (322 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
1877 eruption
ash plume ash plume height automated detection cinder cone instability classification of mild Strombolian events CO2 flux Cotopaxi volcano deformation and gravity joint inversion digital elevation models drone-imagery early warning applications effusive activity eruption precursors Etna volcano extensive parameters FEM geochemical crisis geodetic dataset geological mapping ground and remote sensing monitoring ground deformation ground-based thermal imagery ground-based visible and thermal imagery heat flux heterogenous crust integrated DInSAR and GNSS time series intrusion density lahar hazard assessment Landsat 8 satellite images lava delta lava fountain lava fountains LiDAR Long Valley Caldera major explosive events mass discharge rate time-series mass eruption rate morphological monitoring n/a natural hazards neural networks numerical modeling paroxysmal explosions paroxysmal explosive and effusive episodes paroxysmal explosive eruptions PLÉIADES plume height primary lahars pyroclastic density currents remote sensing repeated bathymetric surveys satellite thermal imagery seismo-acoustic signals self-organizing map slope failure SO2 flux source parameters Stromboli volcano tephra topography correction total erupted mass total grain-size distribution volcanic deformation volcanic hazard volcano deformation volcano monitoring Vulcano Island |
| ISBN | 3-0365-5120-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619461303321 |
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Calvari Sonia
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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