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The present volume collects the contributions selected for publication in the Special Issue entitled "Microlocal and Time-Frequency Analysis" of the journal Mathematics, edited by Elena Cordero and S. Ivan Trapasso over 2020 and 2021.

pseudodifferential operators --- Gevrey regularity --- sharp Gårding inequality --- p-evolution equations --- ultradifferentiable functions --- ultradistributions --- extended Gevrey regularity --- boundary values of analytic functions --- wave front sets --- Rio Papaloapan Bridge --- vibration signals --- damage identification --- wavelet energy accumulation method --- admissibility condition --- the continuous wavelet transform --- inversion formula --- semi-discrete wavelet transform --- tight frames --- covriance matrix --- polar duality --- uncertainty principle --- reconstruction problem --- BBM equation --- ill-posedness --- Fourier amalgam spaces --- Wiener amalgam spaces --- Fourier–Lebesgue spaces --- modulation spaces --- bounded measures --- convolution --- homogeneous Banach spaces --- integrated group representation --- Segal algebra --- Wiener amalgam space --- bounded uniform partition of unity --- locally compact groups

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There is overwhelming evidence, from laboratory experiments, observations, and computational studies, that coherent structures can cause intermittent transport, dramatically enhancing transport. A proper description of this intermittent phenomenon, however, is extremely difficult, requiring a new non-perturbative theory, such as statistical description. Furthermore, multi-scale interactions are responsible for inevitably complex dynamics in strongly non-equilibrium systems, a proper understanding of which remains a main challenge in classical physics. As a remarkable consequence of multi-scale interaction, a quasi-equilibrium state (the so-called self-organisation) can however be maintained. This special issue aims to present different theories of statistical mechanics to understand this challenging multiscale problem in turbulence. The 14 contributions to this Special issue focus on the various aspects of intermittency, coherent structures, self-organisation, bifurcation and nonlocality. Given the ubiquity of turbulence, the contributions cover a broad range of systems covering laboratory fluids (channel flow, the Von Kármán flow), plasmas (magnetic fusion), laser cavity, wind turbine, air flow around a high-speed train, solar wind and industrial application.

non-locality --- hybrid (U)RANS-LES --- channel flow --- thermodynamics --- Lévy noise --- non-local theory --- low speed streaks --- drop breakage --- pipe flow boundary layer --- bifurcation --- Langevin equation --- attached and separated flows --- anomalous diffusion --- kinetic theory --- stochastic processes --- self-organisation --- spatiotemporal chaos --- chaos --- bifurcations --- turbulent flow --- Lyapunov theory --- Rushton turbine --- turbulence --- intermittency --- information length --- denoise --- microcavity laser --- free vortex wake --- IDDES methodology --- local intermittency --- control strategy --- population balance equation --- Tsallis entropy --- coherent structures --- Fokker-Planck equation --- energy cascade --- fluid dynamics --- high efficiency impeller --- fractals --- large eddy simulation --- shear flows --- heat transport --- multifractal --- drop coalescence --- continuous wavelet transform --- T-junction --- scaling properties --- floating wind turbine --- scaling --- fractional Fokker–Plank equation --- magnetic confinement fusion --- multi-scale problem --- coherent structure --- solar wind --- trailing-edge flap --- turbulent transition --- turbulent boundary layer --- complex dynamics --- statistical mechanics

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This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.

hyperspectral LiDAR --- Red Edge --- AOTF --- vegetation parameters --- leaf chlorophyll content --- DLARI --- MDATT --- adaxial --- abaxial --- spectral reflectance --- peanut --- field spectroscopy --- hyperspectral --- heavy metals --- grapevine --- PLS --- SVM --- MLR --- multi-angle observation --- hyperspectral remote sensing --- BRDF --- vegetation classification --- object-oriented segmentation --- spectroscopy --- artificial intelligence --- proximal sensing data --- precision agriculture --- spectra --- vegetation --- plant --- classification --- discrimination --- feature selection --- waveband selection --- support vector machine --- random forest --- Natura 2000 --- invasive species --- expansive species --- biodiversity --- proximal sensor --- macronutrient --- micronutrient --- remote sensing --- hyperspectral imaging --- platforms and sensors --- analytical methods --- crop properties --- soil characteristics --- classification of agricultural features --- canopy spectra --- chlorophyll content --- continuous wavelet transform (CWT) --- correlation coefficient --- partial least square regression (PLSR) --- reproducibility --- replicability --- partial least squares --- Ethiopia --- Eragrostis tef --- hyperspectral remote sensing for soil and crops in agriculture --- hyperspectral imaging for vegetation --- plant traits --- high-resolution spectroscopy for agricultural soils and vegetation --- hyperspectral databases for agricultural soils and vegetation --- hyperspectral data as input for modelling soil, crop, and vegetation --- product validation --- new hyperspectral technologies --- future hyperspectral missions

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This book focuses on the analysis, design and implementation of future smart grid systems. This book contains eleven chapters, which were originally published after rigorous peer-review as a Special Issue in the International Journal of Energies (Basel). The chapters cover a range of work from authors across the globe and present both the state-of-the-art and emerging paradigms across a range of topics including sustainability planning, regulations and policy, estimation and situational awareness, energy forecasting, control and optimization and decentralisation. This book will be of interest to researchers, practitioners and scholars working in areas related to future smart grid systems.

Research & information: general --- Technology: general issues --- industry 4.0 --- digitalization --- demand response --- HVAC control --- dynamic programming --- nonlinear optimization --- energy storage --- regulatory barriers --- storage policy --- market regulations --- SWOT analysis --- deep neural networks --- short-term load forecasting --- renewable energy --- sustainability --- island communities --- demand flexibility --- energy management --- optimization --- hydrogen economy --- cost analysis --- life cycle costing --- methane reforming --- water electrolysis --- centralised hydrogen production --- smart grids (intelligent networks) --- phasor machine learning --- binary logistic regression --- wireless network --- Sensors --- decentralized --- community energy management --- lithium-ion battery --- capacity prediction --- state of health estimation --- time–frequency image analysis --- continuous wavelet transform (CWT) --- two-stage optimization --- risk-based hybrid demand response --- uncertainties --- conditional value at risk --- improved multi-layer artificial bee colony algorithm --- interconnected power system --- cybersecurity --- FPID controller --- automatic intrusion mitigation unit --- Virtual Oscillator Control --- parameter tuning --- voltage-mode inverter --- microgrid

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This book brings together the latest research findings on the state of air pollution control and its impact on economic growth in different countries. The book has substantial content and rich discussion. It is suitable for students and researchers at different levels to learn the status of air pollution, governance policies and their effects, and the relationship between pollution control and economic growth in countries around the world.

The arts --- haze pollution --- economic development quality --- environmental management --- PM2.5 concentration --- evolutionary game --- quadrilateral game --- air pollution --- pollution control policy --- PM2.5 --- spatiotemporal variation --- empirical orthogonal function --- continuous wavelet transform --- backward trajectory analysis --- joint governance region --- atrial fibrillation --- environmental factors --- binary logistic model --- sustainable development --- early warning --- design mobile laboratory campaign --- air pollution concentration --- population exposure to air pollutant --- air quality --- spatiotemporal characteristics --- urban land use --- coupled relationship --- Lanzhou City --- economic growth rate --- GDP per capita --- China --- digital economy --- industrial structure --- spatial spillover --- noise --- silence zone area --- GIS --- linear regression --- mechanical ventilation systems --- minimum ventilation level --- Korea housing --- CO2 concentration --- apartment ventilation --- construction industry --- sustainable development goals --- sustainable construction --- healthy living environment --- King Abdulaziz University --- GWR --- zero-carbon campus --- spatial heterogeneity --- O3 --- transmission pathways --- backward trajectory --- PSCF --- CWT --- global research trend --- SCI-Expanded database --- scientometrics --- halogenated gases --- climate change --- ozone depletion --- environmental regulations --- green technology innovation --- regional differences --- difference-in-differences --- urban form --- urbanization --- spatial autocorrelation --- sensitivity --- aerosols --- zero-out --- Iberian Peninsula --- carbon peak --- carbon neutrality --- export trade --- embodied carbon --- Logarithmic Mean Divisia Index --- random forests --- atmospheric circulation --- machine learning --- complex topography --- big-data intelligent system --- on-road vehicle emissions --- traffic monitoring --- hyperfine modelling --- real-time visualization --- decarbonization --- bituminous coal --- pollution source --- monitoring --- road traffic