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  • 1
    Online Resource
    Online Resource
    Systemic Delivery Technologies in Anti-Aging Medicine: Methods and Applications (2020)
    Cham :Springer International Publishing :
    Details
    Keywords: Pharmaceutical chemistry. ; Medicine Research. ; Biology Research. ; Medical sciences. ; Biomaterials. ; Biology Technique. ; Pharmaceutics. ; Biomedical Research. ; Health Sciences. ; Biomaterials. ; Biological Techniques.
    Description / Table of Contents: Preface -- Part I: Fundamentals of Systemic Delivery -- Anti-aging medicine: new concepts and intervention development,- Roles of systemic delivery in the development of anti-aging therapies -- Pharmacokinetics and pharmacodynamics in drug delivery -- Physiological, biochemical, and chemical barriers to systemic delivery -- Partt II: Development of Delivery Technologies for Systemic Delivery -- Use of prodrugs for systemic delivery in anti-aging medicine -- Use of physical methods for systemic delivery in anti-aging medicine -- Use of viral systems for systemic delivery in anti-aging medicine -- Use of non-viral biological systems for systemic delivery in anti-aging medicine -- Use of lipid-based systems for systemic delivery in anti-aging medicine -- Use of polymeric systems for systemic delivery in anti-aging medicine -- Use of inorganic nanoparticles for systemic delivery in anti-aging medicine -- Part III: Practical Considerations in Intervention Execution -- Strategies in carrier design to enhance systemic delivery -- Characterization techniques for studying the properties of the carriers -- In vivo assessment of the efficiency of systemic delivery in anti-aging medicine -- Selection of administration routes for systemic delivery in anti-aging medicine -- Intellectual property and regulatory issues in drug delivery research -- Index.
    Abstract: This book presents a multidisciplinary assessment of the state of science in the use of systemic delivery technologies to deliver anti-aging therapeutics now under development. There is a gap between basic aging research and the development of intervention technologies. This major obstacle must be overcome before biogerontological interventions can be put into clinical practice. As biogerontology comes to understand aging as a systemic degenerative process, it is clear that there is a pressing need for technologies that enable cells and tissues in a fully developed adult body to be manipulated systemically to combat aging. The authors review advances in the chemistry and engineering of systemic delivery methods and analyze the strengths and limitations of each. The book is organized into six sections. The first offers an overview of the need for systemic delivery technologies alongside the development of anti-aging therapies and describes approaches that will be required for studying the properties and efficiency of carriers for systemic delivery. Sections II, III and IV describe recent advances in a range of strategies that may enable systemic delivery to help combat aging conditions ranging from cell senescence to decline in immune function and hormonal secretion. Section V discusses practical strategies to engineer and optimize the performance of delivery technologies for applications in systemic delivery, along with their working principles. The final section discusses technical and biological barriers that must be overcome as systemic delivery technologies move from research laboratory to clinical applications aimed at tackling aging and age-associated diseases. Benefiting scholars, students and a broader audience of interested readers, the book includes helpful glossary sections in each chapter, as well as sidebars that highlight important notes, and questions for future research.
    Type of Medium: Online Resource
    Pages: XVI, 511 p. 128 illus., 100 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030544904
    Series Statement: Healthy Ageing and Longevity, 13
    URL: https://doi.org/10.1007/978-3-030-54490-4
    DOI: 10.1007/978-3-030-54490-4
    DDC: 615.19
    Language: English
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  • 2
    Monograph available for loan
    Monograph available for loan
    Machine learning techniques for space weather (2018)
    Amsterdam : Elsevier
    Details Availability
    Call number: M 18.91612
    Description / Table of Contents: Front Cover -- Machine Learning Techniques for Space Weather -- Copyright -- Contents -- Contributors -- Introduction -- Machine Learning and Space Weather -- Scope and Structure of the Book -- Acknowledgments -- References -- Part I: Space Weather -- Chapter 1: Societal and Economic Importance of Space Weather -- 1 What is Space Weather? -- 2 Why Now? -- 3 Impacts -- 3.1 Geomagnetically Induced Currents -- 3.2 Global Navigation Satellite Systems -- 3.3 Single-Event Effects -- 3.4 Other Radio Systems -- 3.5 Satellite Drag -- 4 Looking to the Future -- 5 Summary and Conclusions -- Acknowledgments -- References -- Chapter 2: Data Availability and Forecast Products for Space Weather -- 1 Introduction -- 2 Data and Models Based on Machine Learning Approaches -- 3 Space Weather Agencies -- 3.1 Government Agencies -- 3.1.1 NOAA's Data and Products -- 3.1.2 NASA -- 3.1.3 European Space Agency -- 3.1.4 The US Air Force Weather Wing -- 3.2 Academic Institutions -- 3.2.1 Kyoto University, Japan -- 3.2.2 Rice University, USA -- 3.2.3 Laboratory for Atmospheric and Space Physics, USA -- 3.3 Commercial Providers -- 3.4 Other Nonprofit, Corporate Research Agencies -- 3.4.1 USGS -- 3.4.2 JHU Applied Physics Lab -- 3.4.3 US Naval Research Lab -- 3.4.4 Other International Service Providers -- 4 Summary -- References -- Part II: Machine Learning -- Chapter 3: An Information-Theoretical Approach to Space Weather -- 1 Introduction -- 2 Complex Systems Framework -- 3 State Variables -- 4 Dependency, Correlations, and Information -- 4.1 Mutual Information as a Measure of Nonlinear Dependence -- 4.2 Cumulant-Based Cost as a Measure of Nonlinear Dependence -- 4.3 Causal Dependence -- 4.4 Transfer Entropy and Redundancy as Measures of Causal Relations -- 4.5 Conditional Redundancy -- 4.6 Significance of Discriminating Statistics
    Description / Table of Contents: 4.7 Mutual Information and Information Flow -- 5 Examples From Magnetospheric Dynamics -- 6 Significance as an Indicator of Changes in Underlying Dynamics -- 6.1 Detecting Dynamics in a Noisy System -- 6.2 Cumulant-Based Information Flow -- 7 Discussion -- 8 Summary -- Acknowledgments -- References -- Chapter 4: Regression -- 1 What is Regression? -- 2 Learning From Noisy Data -- 2.1 Prediction Errors -- 2.2 A Probabilistic Set-Up -- 2.3 The Least Squares Method for Linear Regression -- 2.3.1 The Least Squares Method and the Best Linear Predictor -- 2.3.2 The Least Squares Method and the Maximum Likelihood Principle -- 2.3.3 A More General Approach and Higher-Order Predictors -- 2.4 Overfitting -- 2.4.1 The Order Selection Problem -- Error Decomposition: The Bias Versus Variance Trade-Off -- Some Popular Order Selection Criteria -- 2.4.2 Regularization -- 2.5 From Point Predictors to Interval Predictors -- 2.5.1 Distribution-Free Interval Predictors -- 2.6 Probability Density Estimation -- 3 Predictions Without Probabilities -- 3.1 Approximation Theory -- Dense Sets -- Best Approximator -- 3.1.1 Neural Networks -- The Backpropagation Algorithm: High-Level Idea -- Multiple Layers Networks (Deep Networks) -- 4 Probabilities Everywhere: Bayesian Regression -- 4.1 Gaussian Process Regression -- 5 Learning in the Presence of Time: Identification of Dynamical Systems -- 5.1 Linear Time-Invariant Systems -- 5.2 Nonlinear Systems -- References -- Chapter 5: Supervised Classification: Quite a Brief Overview -- 1 Introduction -- 1.1 Learning, Not Modeling -- 1.2 An Outline -- 2 Classifiers -- 2.1 Preliminaries -- 2.2 The Bayes Classifier -- 2.3 Generative Probabilistic Classifiers -- 2.4 Discriminative Probabilistic Classifiers -- 2.5 Losses and Hypothesis Spaces -- 2.5.1 0-1 Loss -- 2.5.2 Convex Surrogate Losses
    Description / Table of Contents: 2.5.3 Particular Surrogate Losses -- 2.6 Neural Networks -- 2.7 Neighbors, Trees, Ensembles, and All that -- 2.7.1 k Nearest Neighbors -- 2.7.2 Decision Trees -- 2.7.3 Multiple Classifier Systems -- 3 Representations and Classifier Complexity -- 3.1 Feature Transformations -- 3.1.1 The Kernel Trick -- 3.2 Dissimilarity Representation -- 3.3 Feature Curves and the Curse of Dimensionality -- 3.4 Feature Extraction and Selection -- 4 Evaluation -- 4.1 Apparent Error and Holdout Set -- 4.2 Resampling Techniques -- 4.2.1 Leave-One-Out and k-Fold Cross-Validation -- 4.2.2 Bootstrap Estimators -- 4.2.3 Tests of Significance -- 4.3 Learning Curves and the Single Best Classifier -- 4.4 Some Words About More Realistic Scenarios -- 5 Regularization -- 6 Variations on Standard Classification -- 6.1 Multiple Instance Learning -- 6.2 One-Class Classification, Outliers, and Reject Options -- 6.3 Contextual Classification -- 6.4 Missing Data and Semisupervised Learning -- 6.5 Transfer Learning and Domain Adaptation -- 6.6 Active Learning -- Acknowledgments -- References -- Part III: Applications -- Chapter 6: Untangling the Solar Wind Drivers of the Radiation Belt: An Information Theoretical Approach -- 1 Introduction -- 2 Data Set -- 3 Mutual Information, Conditional Mutual Information, and Transfer Entropy -- 4 Applying Information Theory to Radiation Belt MeV Electron Data -- 4.1 Radiation Belt MeV Electron Flux Versus Vsw -- 4.2 Radiation Belt MeV Electron Flux Versus nsw -- 4.3 Anticorrelation of Vsw and nsw and Its Effect on Radiation Belt -- 4.4 Ranking of Solar Wind Parameters Based on Information Transfer to Radiation Belt Electrons -- 4.5 Detecting Changes in the System Dynamics -- 5 Discussion -- 5.1 Geo-Effectiveness of Solar Wind Velocity -- 5.2 nsw and Vsw Anticorrelation
    Description / Table of Contents: 5.3 Geo-Effectiveness of Solar Wind Density -- 5.4 Revisiting the Triangle Distribution -- 5.5 Improving Models With Information Theory -- 5.5.1 Selecting Input Parameters -- 5.5.2 Detecting Nonstationarity in System Dynamics -- 5.5.3 Prediction Horizon -- 6 Summary -- Acknowledgments -- References -- Chapter 7: Emergence of Dynamical Complexity in the Earth's Magnetosphere -- 1 Introduction -- 2 On Complexity and Dynamical Complexity -- 3 Coherence and Intermittent Features in Time Series Geomagnetic Indices -- 4 Scale-Invariance and Self-Similarity in Geomagnetic Indices -- 5 Near-Criticality Dynamics -- 6 Multifractional Features and Dynamical Phase Transitions -- 7 Summary -- Acknowledgments -- References -- Chapter 8: Applications of NARMAX in Space Weather -- 1 Introduction -- 2 NARMAX Methodology -- 2.1 Forward Regression Orthogonal Least Square -- 2.2 The Noise Model -- 2.3 Model Validation -- 2.4 Summary -- 3 NARMAX and Space Weather Forecasting -- 3.1 Geomagnetic Indices -- 3.1.1 SISO Dst Index -- 3.1.2 Continuous Time Dst model -- 3.1.3 MISO Dst -- 3.1.4 Kp Index -- 3.2 Radiation Belt Electron Fluxes -- 3.2.1 GOES High Energy -- 3.2.2 SNB3GEO Comparison With NOAA REFM -- 3.2.3 GOES Low Energy -- 3.3 Summary of NARMAX Models -- 4 NARMAX and Insight Into the Physics -- 4.1 NARMAX Deduced Solar Wind-Magnetosphere Coupling Function -- 4.2 Identification of Radiation Belt Control Parameters -- 4.2.1 Solar Wind Density Relationship With Relativistic Electrons at GEO -- 4.2.2 Geostationary Local Quasilinear Diffusion vs. Radial Diffusion -- 4.3 Frequency Domain Analysis of the Dst Index -- 5 Discussions and Conclusion -- References -- Chapter 9: Probabilistic Forecasting of Geomagnetic Indices Using Gaussian Process Models -- 1 Geomagnetic Time Series and Forecasting -- 2 Dst Forecasting
    Description / Table of Contents: 2.1 Models and Algorithms -- 2.2 Probabilistic Forecasting -- 3 Gaussian Processes -- 3.1 Gaussian Process Regression: Formulation -- 3.2 Gaussian Process Regression: Inference -- 4 One-Hour Ahead Dst Prediction -- 4.1 Data Source: OMNI -- 4.2 Gaussian Process Dst Model -- 4.3 Gaussian Process Auto-Regressive (GP-AR) -- 4.4 GP-AR With eXogenous Inputs (GP-ARX) -- 5 One-Hour Ahead Dst Prediction: Model Design -- 5.1 Choice of Mean Function -- 5.2 Choice of Kernel -- 5.3 Model Selection: Hyperparameters -- 5.3.1 Grid Search -- 5.3.2 Coupled Simulated Annealing -- 5.3.3 Maximum Likelihood -- 5.4 Model Selection: Auto-Regressive Order -- 6 GP-AR and GP-ARX: Workflow Summary -- 7 Practical Issues: Software -- 8 Experiments and Results -- 8.1 Model Selection and Validation Performance -- 8.2 Comparison of Hyperparameter Selection Algorithms -- 8.3 Final Evaluation -- 8.4 Sample Predictions With Error Bars -- 9 Conclusion -- References -- Chapter 10: Prediction of MeV Electron Fluxes and Forecast Verification -- 1 Relativistic Electrons in Earth's Outer Radiation Belt -- 1.1 Source, Loss, Transport, and Acceleration, Variation -- 2 Numerical Techniques in Radiation Belt Forecasting -- 3 Relativistic Electron Forecasting and Verification -- 3.1 Forecast Verification -- 3.2 Relativistic Electron Forecasting -- 4 Summary -- References -- Chapter 11: Artificial Neural Networks for Determining Magnetospheric Conditions -- 1 Introduction -- 2 A Brief Review of ANNs -- 3 Methodology and Application -- 3.1 The DEN2D Model -- 4 Advanced Applications -- 4.1 The DEN3D Model -- 4.2 The Chorus and Hiss Wave Models -- 4.3 Radiation Belt Flux Modeling -- 5 Summary and Discussion -- Acknowledgments -- References -- Chapter 12: Reconstruction of Plasma Electron Density From Satellite Measurements Via Artificial Neural Networks
    Description / Table of Contents: 1 Overview
    Type of Medium: Monograph available for loan
    Pages: xviii, 433 Seiten , Illustrationen
    ISBN: 978-0-12-811788-0
    Classification:
    Geophysics
    Language: English
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 3
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    Multiple Angle Observations Would Benefit Visible Band Remote Sensing Using Night Lights (2022)
    Details
    Publication Date: 2022-10-05
    Description: The spatial and angular emission patterns of artificial and natural light emitted, scattered, and reflected from the Earth at night are far more complex than those for scattered and reflected solar radiation during daytime. In this commentary, we use examples to show that there is additional information contained in the angular distribution of emitted light. We argue that this information could be used to improve existing remote sensing retrievals based on night lights, and in some cases could make entirely new remote sensing analyses possible. This work will be challenging, so we hope this article will encourage researchers and funding agencies to pursue further study of how multi‐angle views can be analyzed or acquired.
    Description: Plain Language Summary: When satellites take images of Earth, they usually do so from directly above (or as close to it as is reasonably possible). In this comment, we show that for studies that use imagery of Earth at night, it may be beneficial to take several images of the same area at different angles within a short period of time. For example, different types of lights shine in different directions (street lights usually shine down, while video advertisements shine sideways), and tall buildings can block the view of a street from some viewing angles. Additionally, since views from different directions pass through different amounts of air, imagery at multiple angles could be used to obtain information about Earth's atmosphere, and measure artificial and natural night sky brightness. The main point of the paper is to encourage researchers, funding agencies, and space agencies to think about what new possibilities could be achieved in the future with views of night lights at different angles.
    Description: Key Points: Remote sensing using the visible band at night is more complex than during the daytime, especially due to the variety of artificial lights. Views of night lights intentionally taken from multiple angles provide several advantages over near‐nadir or circumstantial view geometries. Night lights remote sensing would benefit from greater consideration of the role viewing geometry plays in the observed radiance.
    Description: EC H2020 H2020 Societal Challenges http://dx.doi.org/10.13039/100010676
    Description: Helmholtz Association http://dx.doi.org/10.13039/501100009318
    Description: Slovak Research and Development Agency
    Description: Xunta de Galicia (Regional Government of Galicia) http://dx.doi.org/10.13039/501100010801
    Description: National Aeronautics and Space Administration http://dx.doi.org/10.13039/100000104
    Description: University of Hong Kong http://dx.doi.org/10.13039/501100003803
    Description: Fonds de recherche du Québec
    Description: EC Emprego, Assuntos Sociais e Inclusão European Social Fund http://dx.doi.org/10.13039/501100004895
    Description: Natural Environment Research Council http://dx.doi.org/10.13039/501100000270
    Description: City of Cologne, Germany
    Keywords: ddc:551.5
    Language: English
    Type: doc-type:article
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    CITATION GEO-LEO
  • 4
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    Meridional Heat Transport in the DeepMIP Eocene Ensemble: Non‐CO2 and CO2 Effects (2023)
    Details
    Publication Date: 2024-02-06
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The total meridional heat transport (MHT) is relatively stable across different climates. Nevertheless, the strength of individual processes contributing to the total transport are not stable. Here we investigate the MHT and its main components especially in the atmosphere, in five coupled climate model simulations from the Deep‐Time Model Intercomparison Project (DeepMIP). These simulations target the early Eocene climatic optimum, a geological time period with high CO〈sub〉2〈/sub〉 concentrations, analog to the upper range of end‐of‐century CO〈sub〉2〈/sub〉 projections. Preindustrial and early Eocene simulations, at a range of CO〈sub〉2〈/sub〉 levels are used to quantify the MHT changes in response to both CO〈sub〉2〈/sub〉 and non‐CO〈sub〉2〈/sub〉 related forcings. We found that atmospheric poleward heat transport increases with CO〈sub〉2〈/sub〉, while oceanic poleward heat transport decreases. The non‐CO〈sub〉2〈/sub〉 boundary conditions cause more MHT toward the South Pole, mainly through an increase in the southward oceanic heat transport. The changes in paleogeography increase the heat transport via transient eddies at the northern mid‐latitudes in the Eocene. The Eocene Hadley cells do not transport more heat poleward, but due to the warmer atmosphere, especially the northern cell, circulate more heat in the tropics, than today. The monsoon systems' poleward latent heat transport increases with rising CO〈sub〉2〈/sub〉 concentrations, but this change is counterweighted by the globally smaller Eocene monsoon area. Our results show that the changes in the monsoon systems' latent heat transport is a robust feature of CO〈sub〉2〈/sub〉 warming, which is in line with the currently observed precipitation increase of present day monsoon systems.〈/p〉
    Description: Plain Language Summary: In the Earth's climate system both the atmosphere and the ocean are transporting heat through different processes from the tropics toward the poles. We investigate the transport of the atmosphere in several climate model set ups, which aim to simulate the very warm climate of the early Eocene (∼56–48 Myr ago). This period is relevant, because the atmospheric CO〈sub〉2〈/sub〉 concentration was close to our pessimistic projection of CO〈sub〉2〈/sub〉 concentration for the end of the century. In our study we separate the results into transport changes due to the different set up of the Eocene, and transport changes due to larger CO〈sub〉2〈/sub〉 concentration values. We found that with rising CO〈sub〉2〈/sub〉 values the atmosphere transports more heat from the tropics to the poles. The different location of the continents and seas is influencing the heat transport of the midlatitude cyclones. The Eocene tropical meridional overturning circulation's poleward heat transport does not increase, but it circulates more heat than today. The monsoon systems seem to be affecting a globally smaller area in the Eocene, but they are also more effective in transporting heat. This conclusion is in line with the observation, that current day monsoon systems' precipitation increases, as our CO〈sub〉2〈/sub〉 concentration rises.〈/p〉
    Description: Key Points: 〈list list-type="bullet"〉 〈list-item〉 〈p xml:lang="en"〉The latent heat transport of the monsoon increases through the Eocene higher CO〈sub〉2〈/sub〉 concentration, but it is reduced by the Eocene topography〈/p〉〈/list-item〉 〈list-item〉 〈p xml:lang="en"〉The poleward heat transport of midlatitude cyclones is higher in the Northern Hemisphere in the Eocene, due to the different topography〈/p〉〈/list-item〉 〈list-item〉 〈p xml:lang="en"〉The Eocene northern Hadley cell circulates more heat, than in the present, while its net poleward heat transport is even less than today〈/p〉〈/list-item〉 〈/list〉 〈/p〉
    Description: Hessisches Ministerium für Wissenschaft und Kunst http://dx.doi.org/10.13039/501100003495
    Description: National Science Fundation
    Description: Swedish Research Council
    Description: NERC SWEET
    Description: Kakenhi
    Description: National Center for Atmospheric Research
    Description: Australian Research Council
    Description: https://www.deepmip.org/data-eocene/
    Description: https://doi.org/10.24381/cds.6860a573
    Description: https://doi.org/10.24381/cds.f17050d7
    Description: https://doi.org/10.5281/zenodo.7958397
    Description: 551.6
    Keywords: meridional heat transport ; early Eocene climatic optimum ; paleoclimate ; monsoon ; CO2 effect ; DeepMIP
    Language: English
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  • 5
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    Risk Measures with Applications in Finance and Economics (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-01-31
    Description: Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities, bonds, currencies, and derivative securities.〈false,〉A Special Issue of “Risk Measures with Applications in Finance and Economics” will be devoted to advancements in the mathematical and statistical development of risk measures with applications in finance and economics. This Special Issue will bring together the theory, practice and real-world applications of risk measures. This book is a collection of papers published in the Special Issue of “Risk Measures with Applications in Finance and Economics” for Sustainability in 2018.
    Keywords: HG1-9999 ; risk assessment ; VIX ; business groups ; SHARE ; asymptotic approximation ; European stock markets ; whole life insurance ; dynamic hedging ; risk-neutral distribution ; cooperative banks ; Data Envelopment Analysis (DEA) ; group-affiliated ; early warning system ; factor models ; smoothing process ; GMC ; falsified products ; S&P 500 index options ; credit derivatives ; corporate sustainability ; term life insurance ; risk management ; crude oil ; financial stability ; social efficiency ; dynamic conditional correlation ; emerging market ; out-of-sample forecast ; financial crisis ; binomial tree ; news release ; green energy ; perceived usefulness ; Bayesian approach ; two-level optimization ; probability of default ; bank risk ; SYMBOL ; information asymmetry ; CoVaR ; probabilistic cash flow ; japonica rice production ; bank profitability ; Monte Carlo Simulations ; gain-loss ratio ; coherent risk measures ; Mezzanine Financing ; national health system ; option value ; conscientiousness ; online purchase intention ; Slovak enterprises ; spot and futures prices ; liquidity premium ; institutional voids ; utility ; random forests ; bankruptcy ; optimizing financial model ; sustainable food security system ; dynamic panel ; co-dependence modelling ; financial performance ; time-varying correlations ; Project Financing ; future health risk ; generalized autoregressive score functions ; volatility spillovers ; financial risks ; simulations ; life insurance ; emotion ; finance risk ; markov regime switching ; diversification ; production frontier function ; Granger causality ; health risk ; risks mitigation ; returns and volatility ; sadness ; low-income country ; the sudden stop of capital inflow ; bank failure ; China’s food policy ; objective health status ; IPO underpricing ; polarity ; climate change ; stock return volatility ; sentiment analysis ; empirical process ; full BEKK ; stochastic frontier model ; perceived ease of use ; volatility transmission ; openness to experience ; sustainability ; low carbon targets ; quasi likelihood ratio (QLR) test ; banking regulation ; sustainable development ; specification testing ; fossil fuels ; time-varying copula function ; tree structures ; monthly CPI data ; coal ; cartel ; regular vine copulas ; sustainability of economic recovery ; ANN ; EGARCH-m ; financial security ; leniency program ; financial hazard map ; uncertainty termination ; causal path ; stakeholder theory ; technological progress ; banking ; investment horizon ; regression model ; two-level CES function ; joy ; the optimal scale of foreign exchange reserve ; carbon emissions ; stochastic volatility ; B-splines ; self-perceived health ; sovereign credit default swap (SCDS) ; RV5MIN ; utility maximization ; credit risk ; policy simulation ; socially responsible investment ; portfolio selection ; scientific verification ; European banking system ; risk-free rate ; wild bootstrap ; medication ; investment profitability ; Amihud’s illiquidity ratio ; multivariate regime-switching ; inflation forecast ; risk aversion ; market timing ; need hierarchy theory ; variance ; diagonal BEKK ; conjugate prior ; risk ; moving averages ; financial risk ; risk measures
    Language: English
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    Asia Pacific Education (2021)
    Monash University Publishing
    Details
    Publication Date: 2024-03-24
    Description: Education in Asia Pacific countries is being transformed by globalisation and the market economy. Most economies within the region have flourished due to increased regional capital flow, trade and other forms of economic and political interaction. The Asia Pacific also has rich and unique traditions, which create cultural diversity as well as common challenges, including obstacles of language and geographical separation. Additionally, there is a growing reaction to the predominance of Western social theories that is fuelling recognition of and movement towards theories that reference the wide range of contextual and cultural perspectives available in the East. Contributors offer Eastern-oriented perspectives on teacher education, parent participation, government withdrawal, textbook content, uses of modern technology, the challenges of migrating families and tertiary students who travel from overseas for study. Their commentaries highlight issues of equity, identity and social justice.
    Keywords: Languages ; education in Asia Pacific ; education ; English as a Second Language ; ESL ; Teaching science in Bangladesh ; politics and education ; social equity and education ; social justice and education ; parental influence on education ; culture in education ; cultural influences on education ; cultural influences on learning ; Asia-Pacific ; Australia ; China ; Pedagogy ; thema EDItEUR::C Language and Linguistics
    Language: English
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    China's Dilemma: Economic Growth, the Environment and Climate Change (2021)
    ANU Press
    Details
    Publication Date: 2022-04-28
    Description: China’s Dilemma—Economic Growth, the Environment and Climate Change examines the challenges China will have to confront in order to maintain rapid growth while coping with the global financial turbulence, some rising socially destabilising tensions such as income inequality, an over-exploited environment and the long-term pressures of global warming. China’s Dilemma discusses key questions that will have an impact on China’s growth path and offers some in-depth analyses as to how China could confront these challenges. The authors address the effect of the global credit crunch and financial shocks on China’s economic growth; China’s contribution to greenhouse gas emissions and emissions reduction schemes; the environmental consequences of foreign direct investment in China; the relationship between air pollution and mortality; the effect of climate change on agricultural output; the coal industry’s compliance with tougher regulations; and the constraints water shortages may impose on China’s economy. It also emphasises the importance of managing the rising demand for energy to moderate oil price increases and placating domestic and international concerns about global warming. In the thirty years since China started on the path of reform, it has emerged as one of the largest and most dynamic economies in the world. This carries with it the responsibility to balance the requirements of key industries that are driving its development with the need to ensure that its growth is both equitable and sustainable. China’s Dilemma highlights key lessons learned from the past thirty years of reform in order to pave the way for balanced and sustained growth in the future.
    Keywords: economic conditions ; economic development ; climate changes ; environmental conditions ; china ; Coal ; Foreign direct investment ; Greenhouse gas ; Gross domestic product ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics
    Language: English
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    Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-12-20
    Description: Each year, extreme floods, which appear to be occurring more frequently in recent years (owing to climate change), lead to enormous economic damage and human suffering around the world. It is therefore imperative to be able to accurately predict both the occurrence time and magnitude of peak discharge in advance of an impending flood event. The use of meta-heuristic techniques in rainfall-runoff modeling is a growing field of endeavor in water resources management. These techniques can be used to calibrate data-driven rainfall-runoff models to improve forecasting accuracies. This book, being also a Special Issue of the journal Water, is designed to fill the analytical void by including fourteen articles concerning advances in the contemporary use of meta-heuristic techniques in rainfall-runoff modeling. The information and analyses are intended to contribute to the development and implementation of effective hydrological predictions, and thus, of appropriate precautionary measures.
    Keywords: GE1-350 ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
    Language: English
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    The Jalayirids (2021)
    Edinburgh University Press
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    Publication Date: 2024-04-02
    Description: This book traces the origins, history, and memory of the Jalayirid dynasty, a family that succeeded the Mongol Ilkhans in Iran and Iraq in the 14th and early 15th centuries. The story of how the Jalayirids came to power is illustrative of the political dynamics that shaped much of the Mongol and post-Mongol period in the Middle East. The Jalayirid sultans sought to preserve the social and political order of the Ilkhanate, while claiming that they were the rightful heirs to the rulership of that order. Central to the Jalayirids' claims to the legacy of the Ilkhanate was their attempt to control the Ilkhanid heartland of Azarbayjan and its major city, Tabriz. Control of Azarbayjan meant control of a network of long-distance trade between China and the Latin West, which continued to be a source of economic prosperity through the 8th/14th century.
    Keywords: History ; Azerbaijan (Iran) ; Baghdad ; Emir ; Genghis Khan ; Ilkhanate ; Jalairid Sultanate ; Jalairs ; Sultan ; Tabriz ; thema EDItEUR::N History and Archaeology::NH History::NHG Middle Eastern history
    Language: English
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    The ELFIN Mission (2020)
    In:  Space Science Reviews
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    Publication Date: 2020-12-10
    Language: English
    Type: info:eu-repo/semantics/article
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