Listing 1 - 10 of 11 | << page >> |
Sort by
|
Choose an application
This ebook includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book.
Sestrin2 --- lung cancer --- knockdown --- cancer progression --- bioinformatics --- patient survival --- lung adenocarcinoma --- circulating miR-1246 --- glycosaminoglycan binding --- prognosis --- PI3K–Akt signaling pathways --- TargetScan --- UBE2C --- cancer systems biology --- experimental model systems --- next-generation sequencing --- single-cell sequencing --- patient-derived xenografts --- patient-derived organoids --- triple-negative breast cancer --- personalized medicine --- computational methods --- drug repurposing --- clinical trials --- cancer stem cells --- ETS --- Elk-1 --- stem cell --- microarray --- brain-tumor-initiating cell (BTIC) --- pancreatic cancer --- systems biology --- omics --- biomarker --- genomics --- transcriptomics --- proteomics --- metabolomics --- glycomics --- metagenomics --- Ets --- PEA3 --- Ets-1 --- glioma --- optical genome mapping --- solid tumors --- cancer genomics --- breast --- ovarian --- cancer --- TCGA --- non-small-cell lung cancer --- lung adenocarcinoma (LUAD) --- lung squamous cell carcinoma (LUSC) --- differential expression --- SNV --- CNV --- risk group --- signature --- survival --- renal cancers --- protein interactome --- diagnostic biomarker --- prognostic biomarker --- virtual screening --- docking --- acute myeloid leukemia --- Boolean model --- drug resistance --- network --- n/a --- PI3K-Akt signaling pathways
Choose an application
This ebook includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book.
Medicine --- Sestrin2 --- lung cancer --- knockdown --- cancer progression --- bioinformatics --- patient survival --- lung adenocarcinoma --- circulating miR-1246 --- glycosaminoglycan binding --- prognosis --- PI3K-Akt signaling pathways --- TargetScan --- UBE2C --- cancer systems biology --- experimental model systems --- next-generation sequencing --- single-cell sequencing --- patient-derived xenografts --- patient-derived organoids --- triple-negative breast cancer --- personalized medicine --- computational methods --- drug repurposing --- clinical trials --- cancer stem cells --- ETS --- Elk-1 --- stem cell --- microarray --- brain-tumor-initiating cell (BTIC) --- pancreatic cancer --- systems biology --- omics --- biomarker --- genomics --- transcriptomics --- proteomics --- metabolomics --- glycomics --- metagenomics --- Ets --- PEA3 --- Ets-1 --- glioma --- optical genome mapping --- solid tumors --- cancer genomics --- breast --- ovarian --- cancer --- TCGA --- non-small-cell lung cancer --- lung adenocarcinoma (LUAD) --- lung squamous cell carcinoma (LUSC) --- differential expression --- SNV --- CNV --- risk group --- signature --- survival --- renal cancers --- protein interactome --- diagnostic biomarker --- prognostic biomarker --- virtual screening --- docking --- acute myeloid leukemia --- Boolean model --- drug resistance --- network
Choose an application
Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.
Research & information: general --- Direct Normal Irradiance (DNI) --- IFS/ECMWF --- forecast --- evaluation --- DNI attenuation Index (DAI) --- bias correction --- nowcast --- meteorological radar data --- optical flow --- deep learning --- Bates-Granger weights --- uniform weights --- (REG) ARIMA --- ETS --- Hodrick-Prescott trend --- Google Trends indices --- Himalayan region --- streamflow forecast verification --- persistence --- snow-fed rivers --- intermittent rivers --- costumer relation management --- business to business sales prediction --- machine learning --- predictive modeling --- microsoft azure machine-learning service --- travel time forecasting --- time series --- bus service --- transit systems --- sustainable urban mobility plan --- bus travel time --- learning curve --- forecasting --- production cost --- cost estimating --- semi-empirical model --- logistic map --- COVID-19 --- SARS-CoV-2 --- PV output power estimation --- PV-load decoupling --- behind-the-meter PV --- baseline prediction
Choose an application
This Special Issue is entitled “Environmental Sustainability in Maritime Infrastructures”. Oceans and coastal areas are essential in our lives from several different points of view: social, economic, and health. Given the importance of these areas for human life, not only for the present but also for the future, it is necessary to plan future infrastructures, and maintain and adapt to the changes the existing ones. All of this taking into account the sustainability of our planet. A very significant percentage of the world's population lives permanently or enjoys their vacation periods in coastal zones, which makes them very sensitive areas, with a very high economic value and as a focus of adverse effects on public health and ecosystems. Therefore, it is considered very relevant and of great interest to launch this Special Issue to cover any aspects related to the vulnerability of coastal systems and their inhabitants (water pollution, coastal flooding, climate change, overpopulation, urban planning, waste water, plastics at sea, effects on ecosystems, etc.), as well as the use of ocean resources (fisheries, energy, tourism areas, etc.).
Technology: general issues --- floating offshore wind --- concrete wind platform --- economic feasibility --- IRR --- NPV --- LCOE --- feasibility study --- offshore wind --- levelized cost of energy (LCOE) --- wave energy --- software --- EU ETS --- Emission allowances --- Greenhouse gas emissions --- Transparency --- Accounting regulation --- tidal current energy --- life cycle assessment --- ISO --- greenhouse gases emissions --- port infrastructure --- carbon footprint --- offshore waste disposal facility --- hazard analysis --- risk matrix --- subsystem --- environmental impact --- ocean renewable energy --- OTEC --- environmental and social impacts --- energy production --- renewable energy --- zero emissions port --- wave energy converter --- young mangroves --- mangrove restoration --- portable reef design --- field observation --- Amami Oshima --- geographic information system --- back-propagation neural network --- rainfall --- historical flood --- prediction --- formal planning --- informal planning --- spatial planning process --- coastal area spatial planning --- planning levels --- community involvement --- territorial community --- coastal communities --- coastal fisheries --- dry fish --- livelihood --- vulnerability --- AHP --- urban regeneration --- littoral landscape --- Mediterranean architecture --- sustainable mobility --- transport infrastructure --- greenway
Choose an application
The analysis and modeling of time series is of the utmost importance in various fields of application. This Special Issue is a collection of articles on a wide range of topics, covering stochastic models for time series as well as methods for their analysis, univariate and multivariate time series, real-valued and discrete-valued time series, applications of time series methods to forecasting and statistical process control, and software implementations of methods and models for time series. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples.
Humanities --- time series --- anomaly detection --- unsupervised learning --- kernel density estimation --- missing data --- multivariate time series --- nonstationary --- spectral matrix --- local field potential --- electric power --- forecasting accuracy --- machine learning --- extended binomial distribution --- INAR --- thinning operator --- time series of counts --- unemployment rate --- SARIMA --- SETAR --- Holt–Winters --- ETS --- neural network autoregression --- Romania --- integer-valued time series --- bivariate Poisson INGARCH model --- outliers --- robust estimation --- minimum density power divergence estimator --- CUSUM control chart --- INAR-type time series --- statistical process monitoring --- random survival rate --- zero-inflation --- cointegration --- subspace algorithms --- VARMA models --- seasonality --- finance --- volatility fluctuation --- Student’s t-process --- entropy based particle filter --- relative entropy --- count data --- time series analysis --- Julia programming language --- ordinal patterns --- long-range dependence --- multivariate data analysis --- limit theorems --- integer-valued moving average model --- counting series --- dispersion test --- Bell distribution --- count time series --- estimation --- overdispersion --- multivariate count data --- INGACRCH --- state-space model --- bank failures --- transactions --- periodic autoregression --- integer-valued threshold models --- parameter estimation --- models
Choose an application
Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.
Direct Normal Irradiance (DNI) --- IFS/ECMWF --- forecast --- evaluation --- DNI attenuation Index (DAI) --- bias correction --- nowcast --- meteorological radar data --- optical flow --- deep learning --- Bates–Granger weights --- uniform weights --- (REG) ARIMA --- ETS --- Hodrick–Prescott trend --- Google Trends indices --- Himalayan region --- streamflow forecast verification --- persistence --- snow-fed rivers --- intermittent rivers --- costumer relation management --- business to business sales prediction --- machine learning --- predictive modeling --- microsoft azure machine-learning service --- travel time forecasting --- time series --- bus service --- transit systems --- sustainable urban mobility plan --- bus travel time --- learning curve --- forecasting --- production cost --- cost estimating --- semi-empirical model --- logistic map --- COVID-19 --- SARS-CoV-2 --- PV output power estimation --- PV-load decoupling --- behind-the-meter PV --- baseline prediction --- n/a --- Bates-Granger weights --- Hodrick-Prescott trend
Choose an application
This Special Issue is entitled “Environmental Sustainability in Maritime Infrastructures”. Oceans and coastal areas are essential in our lives from several different points of view: social, economic, and health. Given the importance of these areas for human life, not only for the present but also for the future, it is necessary to plan future infrastructures, and maintain and adapt to the changes the existing ones. All of this taking into account the sustainability of our planet. A very significant percentage of the world's population lives permanently or enjoys their vacation periods in coastal zones, which makes them very sensitive areas, with a very high economic value and as a focus of adverse effects on public health and ecosystems. Therefore, it is considered very relevant and of great interest to launch this Special Issue to cover any aspects related to the vulnerability of coastal systems and their inhabitants (water pollution, coastal flooding, climate change, overpopulation, urban planning, waste water, plastics at sea, effects on ecosystems, etc.), as well as the use of ocean resources (fisheries, energy, tourism areas, etc.).
floating offshore wind --- concrete wind platform --- economic feasibility --- IRR --- NPV --- LCOE --- feasibility study --- offshore wind --- levelized cost of energy (LCOE) --- wave energy --- software --- EU ETS --- Emission allowances --- Greenhouse gas emissions --- Transparency --- Accounting regulation --- tidal current energy --- life cycle assessment --- ISO --- greenhouse gases emissions --- port infrastructure --- carbon footprint --- offshore waste disposal facility --- hazard analysis --- risk matrix --- subsystem --- environmental impact --- ocean renewable energy --- OTEC --- environmental and social impacts --- energy production --- renewable energy --- zero emissions port --- wave energy converter --- young mangroves --- mangrove restoration --- portable reef design --- field observation --- Amami Oshima --- geographic information system --- back-propagation neural network --- rainfall --- historical flood --- prediction --- formal planning --- informal planning --- spatial planning process --- coastal area spatial planning --- planning levels --- community involvement --- territorial community --- coastal communities --- coastal fisheries --- dry fish --- livelihood --- vulnerability --- AHP --- urban regeneration --- littoral landscape --- Mediterranean architecture --- sustainable mobility --- transport infrastructure --- greenway
Choose an application
The analysis and modeling of time series is of the utmost importance in various fields of application. This Special Issue is a collection of articles on a wide range of topics, covering stochastic models for time series as well as methods for their analysis, univariate and multivariate time series, real-valued and discrete-valued time series, applications of time series methods to forecasting and statistical process control, and software implementations of methods and models for time series. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples.
time series --- anomaly detection --- unsupervised learning --- kernel density estimation --- missing data --- multivariate time series --- nonstationary --- spectral matrix --- local field potential --- electric power --- forecasting accuracy --- machine learning --- extended binomial distribution --- INAR --- thinning operator --- time series of counts --- unemployment rate --- SARIMA --- SETAR --- Holt–Winters --- ETS --- neural network autoregression --- Romania --- integer-valued time series --- bivariate Poisson INGARCH model --- outliers --- robust estimation --- minimum density power divergence estimator --- CUSUM control chart --- INAR-type time series --- statistical process monitoring --- random survival rate --- zero-inflation --- cointegration --- subspace algorithms --- VARMA models --- seasonality --- finance --- volatility fluctuation --- Student’s t-process --- entropy based particle filter --- relative entropy --- count data --- time series analysis --- Julia programming language --- ordinal patterns --- long-range dependence --- multivariate data analysis --- limit theorems --- integer-valued moving average model --- counting series --- dispersion test --- Bell distribution --- count time series --- estimation --- overdispersion --- multivariate count data --- INGACRCH --- state-space model --- bank failures --- transactions --- periodic autoregression --- integer-valued threshold models --- parameter estimation --- models
Choose an application
This Special Issue is entitled “Environmental Sustainability in Maritime Infrastructures”. Oceans and coastal areas are essential in our lives from several different points of view: social, economic, and health. Given the importance of these areas for human life, not only for the present but also for the future, it is necessary to plan future infrastructures, and maintain and adapt to the changes the existing ones. All of this taking into account the sustainability of our planet. A very significant percentage of the world's population lives permanently or enjoys their vacation periods in coastal zones, which makes them very sensitive areas, with a very high economic value and as a focus of adverse effects on public health and ecosystems. Therefore, it is considered very relevant and of great interest to launch this Special Issue to cover any aspects related to the vulnerability of coastal systems and their inhabitants (water pollution, coastal flooding, climate change, overpopulation, urban planning, waste water, plastics at sea, effects on ecosystems, etc.), as well as the use of ocean resources (fisheries, energy, tourism areas, etc.).
Technology: general issues --- floating offshore wind --- concrete wind platform --- economic feasibility --- IRR --- NPV --- LCOE --- feasibility study --- offshore wind --- levelized cost of energy (LCOE) --- wave energy --- software --- EU ETS --- Emission allowances --- Greenhouse gas emissions --- Transparency --- Accounting regulation --- tidal current energy --- life cycle assessment --- ISO --- greenhouse gases emissions --- port infrastructure --- carbon footprint --- offshore waste disposal facility --- hazard analysis --- risk matrix --- subsystem --- environmental impact --- ocean renewable energy --- OTEC --- environmental and social impacts --- energy production --- renewable energy --- zero emissions port --- wave energy converter --- young mangroves --- mangrove restoration --- portable reef design --- field observation --- Amami Oshima --- geographic information system --- back-propagation neural network --- rainfall --- historical flood --- prediction --- formal planning --- informal planning --- spatial planning process --- coastal area spatial planning --- planning levels --- community involvement --- territorial community --- coastal communities --- coastal fisheries --- dry fish --- livelihood --- vulnerability --- AHP --- urban regeneration --- littoral landscape --- Mediterranean architecture --- sustainable mobility --- transport infrastructure --- greenway
Choose an application
The analysis and modeling of time series is of the utmost importance in various fields of application. This Special Issue is a collection of articles on a wide range of topics, covering stochastic models for time series as well as methods for their analysis, univariate and multivariate time series, real-valued and discrete-valued time series, applications of time series methods to forecasting and statistical process control, and software implementations of methods and models for time series. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples.
Humanities --- time series --- anomaly detection --- unsupervised learning --- kernel density estimation --- missing data --- multivariate time series --- nonstationary --- spectral matrix --- local field potential --- electric power --- forecasting accuracy --- machine learning --- extended binomial distribution --- INAR --- thinning operator --- time series of counts --- unemployment rate --- SARIMA --- SETAR --- Holt–Winters --- ETS --- neural network autoregression --- Romania --- integer-valued time series --- bivariate Poisson INGARCH model --- outliers --- robust estimation --- minimum density power divergence estimator --- CUSUM control chart --- INAR-type time series --- statistical process monitoring --- random survival rate --- zero-inflation --- cointegration --- subspace algorithms --- VARMA models --- seasonality --- finance --- volatility fluctuation --- Student’s t-process --- entropy based particle filter --- relative entropy --- count data --- time series analysis --- Julia programming language --- ordinal patterns --- long-range dependence --- multivariate data analysis --- limit theorems --- integer-valued moving average model --- counting series --- dispersion test --- Bell distribution --- count time series --- estimation --- overdispersion --- multivariate count data --- INGACRCH --- state-space model --- bank failures --- transactions --- periodic autoregression --- integer-valued threshold models --- parameter estimation --- models
Listing 1 - 10 of 11 | << page >> |
Sort by
|