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The role of nanotechnologies in personalized medicine is rising remarkably in the last decade because of the ability of these new sensing systems to diagnose diseases from early stages and the availability of continuous screenings to characterize the efficiency of drugs and therapies for each single patient. Recent technological advancements are allowing the development of biosensors in low-cost and user-friendly platforms, thereby overcoming the last obstacle for these systems, represented by limiting costs and low yield, until now. In this context, photonic biosensors represent one of the main emerging sensing modalities because of their ability to combine high sensitivity and selectivity together with real-time operation, integrability, and compatibility with microfluidics and electric circuitry for the readout, which is fundamental for the realization of lab-on-chip systems. This book, “Photonic Biosensors: Detection, Analysis and Medical Diagnostics”, has been published thanks to the contributions of the authors and collects research articles, the content of which is expected to assume an important role in the outbreak of biosensors in the biomedical field, considering the variety of the topics that it covers, from the improvement of sensors’ performance to new, emerging applications and strategies for on-chip integrability, aiming at providing a general overview for readers on the current advancements in the biosensing field.

Research & information: general --- integrated photonics --- microfluidics --- packaging --- photonic biosensors --- optical resonators --- multiplexed sensing --- 3D printing --- wearable laser Doppler flowmetry --- blood perfusion --- wavelet analysis --- smokers --- biosensors --- optical cavity-based biosensor --- biomarker detection --- noninvasive glucose sensing --- near-infrared spectroscopy --- skin tissue reflection spectroscopy --- calibration modeling --- science-based calibration (SBC) --- blood pressure --- photoplethysmography --- derivatives of PPG --- convolutional neural network --- ensemble empirical mode decomposition --- bacteria biofilm --- optoelectronic device --- antimicrobial resistance --- biosensing --- n/a

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The transition to 100% renewable energy in the future is one of the most important ways of achieving "carbon peaking and carbon neutrality" and of reducing the adverse effects of climate change. In this process, the safe, stable and economical operation of renewable energy generation systems, represented by hydro-, wind and solar power, is particularly important, and has naturally become a key concern for researchers and engineers. Therefore, this book focuses on the fundamental and applied research on the modeling, control, monitoring and diagnosis of renewable energy generation systems, especially hydropower energy systems, and aims to provide some theoretical reference for researchers, power generation departments or government agencies.

Research & information: general --- Physics --- doubly-fed variable-speed pumped storage --- Hopf bifurcation --- stability analysis --- parameter sensitivity --- pumped storage unit --- degradation trend prediction --- maximal information coefficient --- light gradient boosting machine --- variational mode decomposition --- gated recurrent unit --- high proportional renewable power system --- active power --- change point detection --- maximum information coefficient --- cosine similarity --- anomaly detection --- thermal-hydraulic characteristics --- hydraulic oil viscosity --- hydraulic PTO --- wave energy converter --- pumped storage units --- pressure pulsation --- noise reduction --- sparrow search algorithm --- hybrid system --- facility agriculture --- chaotic particle swarms method --- operation strategy --- stochastic dynamic programming (SDP) --- power yield --- seasonal price --- reliability --- cascaded reservoirs --- doubly-fed variable speed pumped storage power station --- nonlinear modeling --- nonlinear pump turbine characteristics --- pumped storage units (PSUs) --- successive start-up --- ‘S’ characteristics --- low water head conditions --- multi-objective optimization --- fractional order PID controller (FOPID) --- hydropower units --- comprehensive deterioration index --- long and short-term neural network --- ensemble empirical mode decomposition --- approximate entropy --- 1D–3D coupling model --- transition stability --- sensitivity analysis --- hydro power

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Energy systems worldwide are undergoing major transformation as a consequence of the transition towards the widespread use of clean and sustainable energy sources. Basically, this involves massive changes in technical and organizational levels together with tremendous technological upgrades in different sectors ranging from energy generation and transmission systems down to distribution systems. These actions generate huge science and engineering challenges and demands for expert knowledge in the field to create solutions for a sustainable energy system that is economically, environmentally, and socially viable while meeting high security requirements. This book covers these promising and dynamic areas of research and development, and presents contributions in sustainable energy systems planning, integration, and management. Moreover, the book elaborates on a variety of topics, ranging from design and planning of small- to large-scale energy systems to the operation and control of energy networks in different sectors, namely electricity, heat, ?and transport.

n/a --- Romanian coastal environment --- neural networks --- intermittent heating --- wind velocities --- time-space network --- optimal chiller loading (OCL) --- renewable energy --- pure electric buses --- mixed-integer non-linear programming problem (MINLP) --- control system --- FANP --- energy consumption --- load regulation --- energy --- smart box --- novel method --- smart logistics system --- multiple uncertainties --- non-intrusive load monitoring --- wind speed forecasting --- solid waste to energy plant --- uncertain cooling demand --- dual robust optimization --- Black Sea --- field test and numerical simulation --- electric power --- sustainable development --- multi-type bus operating organization --- cuckoo search algorithm --- vehicular emissions --- SWAN --- public transport --- product quality model --- MCDM --- TOPSIS --- heat transfer --- solar energy --- forecasting validity --- information gap decision theory (IGDT) --- photovoltaic systems --- configurations of internal wall --- ensemble empirical mode decomposition --- agricultural pruning --- hot summer and cold winter climate zone --- energy and environmental systems --- feature extraction --- information platform --- pruning biomass --- smart grid --- product usability testing --- meteorological variables --- fuzzy logic --- performance evaluation --- rural residential building --- threshold value of daily operation hours --- datacenter --- wave energy --- thermal comfort --- heat storage and release --- resampling --- risk aversion --- environment --- support vector machine --- internal coverings --- numerical models --- gradient descent --- renewable biomass energy --- demand response

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This book is a collection of papers for the Special Issue “Quantitative Methods for Economics and Finance” of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers 19 papers on topics such as volatility clusters and volatility dynamic, forecasting, stocks, indexes, cryptocurrencies and commodities, trade agreements, the relationship between volume and price, trading strategies, efficiency, regression, utility models, fraud prediction, or intertemporal choice.

Coins, banknotes, medals, seals (numismatics) --- academic cheating --- tax evasion --- informality --- pairs trading --- hurst exponent --- financial markets --- long memory --- co-movement --- cointegration --- risk --- delay --- decision-making process --- probability --- discount --- detection --- mean square error --- multicollinearity --- raise regression --- variance inflation factor --- derivation --- intertemporal choice --- decreasing impatience --- elasticity --- GARCH --- EGARCH --- VaR --- historical simulation approach --- peaks-over-threshold --- EVT --- student t-copula --- generalized Pareto distribution --- centered model --- noncentered model --- intercept --- essential multicollinearity --- nonessential multicollinearity --- commodity prices --- futures prices --- number of factors --- eigenvalues --- volatility cluster --- Hurst exponent --- FD4 approach --- volatility series --- probability of volatility cluster --- S&amp --- P500 --- Bitcoin --- Ethereum --- Ripple --- bitcoin --- deep learning --- deep recurrent convolutional neural networks --- forecasting --- asset pricing --- financial distress prediction --- unconstrained distributed lag model --- multiple periods --- Chinese listed companies --- cash flow management --- corporate prudential risk --- the financial accelerator --- financial distress --- induced risk aversion --- liquidity constraints --- liquidity risk --- macroeconomic propagation --- multiperiod financial management --- non-linear macroeconomic modelling --- Tobin’s q --- precautionary savings --- pharmaceutical industry --- scale economies --- profitability --- biotechnological firms --- non-parametric efficiency --- productivity --- DEA --- dispersion trading --- option arbitrage --- volatility trading --- correlation risk premium --- econometrics --- computational finance --- ensemble empirical mode decomposition (EEMD) --- autoregressive integrated moving average (ARIMA) --- support vector regression (SVR) --- genetic algorithm (GA) --- energy consumption --- cryptocurrency --- gold --- P 500 --- DCC --- copula --- copulas --- Markov Chain Monte Carlo simulation --- local optima vs. local minima --- SRA approach --- foreign direct investment --- bilateral investment treaties --- regional trade agreements --- structural gravity model --- policy uncertainty --- stock prices --- dynamically simulated autoregressive distributed lag (DYS-ARDL) --- threshold regression --- United States

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This book is a collection of papers for the Special Issue “Quantitative Methods for Economics and Finance” of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers 19 papers on topics such as volatility clusters and volatility dynamic, forecasting, stocks, indexes, cryptocurrencies and commodities, trade agreements, the relationship between volume and price, trading strategies, efficiency, regression, utility models, fraud prediction, or intertemporal choice.

Coins, banknotes, medals, seals (numismatics) --- academic cheating --- tax evasion --- informality --- pairs trading --- hurst exponent --- financial markets --- long memory --- co-movement --- cointegration --- risk --- delay --- decision-making process --- probability --- discount --- detection --- mean square error --- multicollinearity --- raise regression --- variance inflation factor --- derivation --- intertemporal choice --- decreasing impatience --- elasticity --- GARCH --- EGARCH --- VaR --- historical simulation approach --- peaks-over-threshold --- EVT --- student t-copula --- generalized Pareto distribution --- centered model --- noncentered model --- intercept --- essential multicollinearity --- nonessential multicollinearity --- commodity prices --- futures prices --- number of factors --- eigenvalues --- volatility cluster --- Hurst exponent --- FD4 approach --- volatility series --- probability of volatility cluster --- S&amp --- P500 --- Bitcoin --- Ethereum --- Ripple --- bitcoin --- deep learning --- deep recurrent convolutional neural networks --- forecasting --- asset pricing --- financial distress prediction --- unconstrained distributed lag model --- multiple periods --- Chinese listed companies --- cash flow management --- corporate prudential risk --- the financial accelerator --- financial distress --- induced risk aversion --- liquidity constraints --- liquidity risk --- macroeconomic propagation --- multiperiod financial management --- non-linear macroeconomic modelling --- Tobin’s q --- precautionary savings --- pharmaceutical industry --- scale economies --- profitability --- biotechnological firms --- non-parametric efficiency --- productivity --- DEA --- dispersion trading --- option arbitrage --- volatility trading --- correlation risk premium --- econometrics --- computational finance --- ensemble empirical mode decomposition (EEMD) --- autoregressive integrated moving average (ARIMA) --- support vector regression (SVR) --- genetic algorithm (GA) --- energy consumption --- cryptocurrency --- gold --- P 500 --- DCC --- copula --- copulas --- Markov Chain Monte Carlo simulation --- local optima vs. local minima --- SRA approach --- foreign direct investment --- bilateral investment treaties --- regional trade agreements --- structural gravity model --- policy uncertainty --- stock prices --- dynamically simulated autoregressive distributed lag (DYS-ARDL) --- threshold regression --- United States