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Selenium (Se), being an essential nutrient and a toxin, enters the food chain mainly via plants. Selenium isotope signatures were proved to be an excellent redox tracer, making it a promising tool for the exploration of the Se cycle in plants. The analytical method is sensitive on organic samples and requires particular preparation methods, which were developed and validated in this study. Plant cultivation setups revealed the applicability of these methods to trace plant internal processes.

analytical method validation --- Selen in Pflanzen --- HG-MC-ICP-MS-Analytik --- HG-MC-ICP-MS analytics --- Präparation organischer Umweltproben --- selenium in plants --- organic sample preparation --- Stabile Isotope --- Validierung analytischer Methodenselenium stable isotopes

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Due to the significant increase in the availability of new data in recent years, as a result of the expansion of available seismic stations, laboratory experiments, and the availability of increasingly reliable synthetic catalogs, considerable progress has been made in understanding the spatiotemporal properties of earthquakes. The study of the preparatory phase of earthquakes and the analysis of past seismicity has led to the formulation of seismicity models for the forecasting of future earthquakes or to the development of seismic hazard maps. The results are tested and validated by increasingly accurate statistical methods. A relevant part of the development of many models is the correct identification of seismicity clusters and scaling laws of background seismicity. In this collection, we present eight innovative papers that address all the above topics. The occurrence of strong earthquakes (mainshocks) is analyzed from different perspectives in this Special Issue.

Technology: general issues --- Environmental science, engineering & technology --- system-analytical method --- earthquake-prone areas --- pattern recognition --- clustering --- machine learning --- earthquake catalogs --- high seismicity criteria --- tidal triggering of earthquakes --- seismic cycle --- coulomb failure stress --- preparatory phase --- seismic prediction --- earthquake forecasting --- precursors --- statistical seismology --- earthquake likelihood models --- seismicity patterns --- New Zealand --- California --- smoothed seismicity methods --- global seismicity --- foreshocks and aftershocks --- earthquake forecasting model --- statistical methods --- magnitude-frequency distribution --- corner magnitude --- tapered Pareto --- tapered Gutenberg-Richter --- epidemic type aftershock sequence model --- extreme value distribution --- Bayesian predictive distribution --- seismicity clustering --- DBSCAN algorithm --- markovian arrival processes --- numerical modeling --- earthquake simulator --- earthquake clustering --- northern and central Apennines --- n/a

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Due to the significant increase in the availability of new data in recent years, as a result of the expansion of available seismic stations, laboratory experiments, and the availability of increasingly reliable synthetic catalogs, considerable progress has been made in understanding the spatiotemporal properties of earthquakes. The study of the preparatory phase of earthquakes and the analysis of past seismicity has led to the formulation of seismicity models for the forecasting of future earthquakes or to the development of seismic hazard maps. The results are tested and validated by increasingly accurate statistical methods. A relevant part of the development of many models is the correct identification of seismicity clusters and scaling laws of background seismicity. In this collection, we present eight innovative papers that address all the above topics. The occurrence of strong earthquakes (mainshocks) is analyzed from different perspectives in this Special Issue.

Technology: general issues --- Environmental science, engineering & technology --- system-analytical method --- earthquake-prone areas --- pattern recognition --- clustering --- machine learning --- earthquake catalogs --- high seismicity criteria --- tidal triggering of earthquakes --- seismic cycle --- coulomb failure stress --- preparatory phase --- seismic prediction --- earthquake forecasting --- precursors --- statistical seismology --- earthquake likelihood models --- seismicity patterns --- New Zealand --- California --- smoothed seismicity methods --- global seismicity --- foreshocks and aftershocks --- earthquake forecasting model --- statistical methods --- magnitude-frequency distribution --- corner magnitude --- tapered Pareto --- tapered Gutenberg-Richter --- epidemic type aftershock sequence model --- extreme value distribution --- Bayesian predictive distribution --- seismicity clustering --- DBSCAN algorithm --- markovian arrival processes --- numerical modeling --- earthquake simulator --- earthquake clustering --- northern and central Apennines --- system-analytical method --- earthquake-prone areas --- pattern recognition --- clustering --- machine learning --- earthquake catalogs --- high seismicity criteria --- tidal triggering of earthquakes --- seismic cycle --- coulomb failure stress --- preparatory phase --- seismic prediction --- earthquake forecasting --- precursors --- statistical seismology --- earthquake likelihood models --- seismicity patterns --- New Zealand --- California --- smoothed seismicity methods --- global seismicity --- foreshocks and aftershocks --- earthquake forecasting model --- statistical methods --- magnitude-frequency distribution --- corner magnitude --- tapered Pareto --- tapered Gutenberg-Richter --- epidemic type aftershock sequence model --- extreme value distribution --- Bayesian predictive distribution --- seismicity clustering --- DBSCAN algorithm --- markovian arrival processes --- numerical modeling --- earthquake simulator --- earthquake clustering --- northern and central Apennines

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This book is a comprehensive set of articles reflecting the latest advances and developments in mathematical modeling and the design of electrical machines for different applications. The main models discussed are based on the: i) Maxwell–Fourier method (i.e., the formal resolution of Maxwell’s equations by using the separation of variables method and the Fourier’s series in 2-D or 3-D with a quasi-Cartesian or polar coordinate system); ii) electrical, thermal and magnetic equivalent circuit; iii) hybrid model. In these different papers, the numerical method and the experimental tests have been used as comparisons or validations.

surface-mounted PM machines --- torque pulsation --- magnet shape optimization --- analytical expression --- 2D --- electromagnetic performances --- finite iron relative permeability --- numerical --- sinusoidal current excitation --- subdomain technique --- switched reluctance machine --- scattering matrix --- Fourier analysis --- permanent magnet machines --- analytical modeling --- analytical model --- high-speed --- sleeve --- non-homogeneous permeability --- permanent-magnet --- partial differential equations --- separation of variable technique --- electrical machines --- surface inset permanent magnet --- electric machines --- permanent magnet motor --- rotating machines --- hybrid excitation --- magnetic equivalent circuits --- 3D finite element method --- eddy-current losses --- experiment --- hybrid model --- magnetic equivalent circuit --- Maxwell–Fourier method --- analytical method --- eddy-current --- finite-element analysis --- loss reduction --- permanent-magnet losses --- thermal analysis --- linear induction motors --- complex harmonic modeling --- hybrid analytical modeling --- 2D steady-state models --- multiphase induction machine --- reduced order --- rotor cage --- torque pulsations --- multi-phase --- segmentation --- synchronous machines --- thermal equivalence circuit --- Voronoï tessellation --- winding heads --- nodal method --- thermal resistances --- n/a --- Maxwell-Fourier method --- Voronoï tessellation

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Riverbank filtration (RBF) schemes for the production of drinking water are increasingly challenged by new constituents of concern, such as organic micropollutants and pathogens in the source water and hydrological flow variations due to weather extremes. RBF and new technology components are integrated and monitoring and operating regimes are adopted to further optimize water treatment in bank filtration schemes for these new requirements. This Special Issue presents results from the EU project AquaNES “Demonstrating synergies in combined natural and engineered processes for water treatment systems” (www.aquanes.eu). Additionally, papers from other research groups cover the efficiency of bank filtration and post-treatment, advantages and limitations of combining natural and engineered processes, parameter-specific assessment of removal rates during bank filtration, and the design and operation of RBF wells. The feasibility, design, and operation of RBF schemes under specific site conditions are highlighted for sites in the US, India, and South Korea

floods --- environmental monitoring --- river bank filtration --- heavy metals --- riverside water source --- entrance velocity --- ultrafiltration --- online monitoring --- drinking water treatment --- water treatment --- system costs --- optimization --- biofilm --- fluorescence excitation-emission matrix --- riverbed --- inorganic chemicals --- well structure remodeling --- riverbank filtration (RBF) --- sub-oxic conditions --- electro-chlorination --- energy generation --- pressure loss --- bank filtrate portion --- removal efficacy --- bank filtrate --- manganese --- out/in membrane comparison --- pharmaceutical residues --- analytical method --- hydrochemistry --- subsurface geology --- dissolved organic matter --- column experiments --- storage tank --- groundwater --- organic matter composition --- water supply --- rural water supply --- collector wells --- mirror-image method --- southern India --- gabapentin --- microorganisms --- site investigation --- small communities --- decentralized capillary nanofiltration --- PHREEQC --- renewable energy --- droughts --- hydrological trends --- bank filtration --- filter cake --- sulphate --- point-bar alluvial setting --- inline electrolysis --- energy efficiency --- Ganga --- climate change --- turbine --- Nakdong River --- organic matter degradation --- oxypurinol --- slow sand filtration --- suboxic --- PARAFAC-EEM --- Krishna River --- water quality --- smart villages --- micropollutants --- anoxic --- dissolved organic carbon (DOC) --- attenuation --- organic micropollutants --- disinfection --- surface water treatment --- nitrate --- drinking water hydropower --- pesticides --- disinfection by-products --- Damodar --- pathogen barrier --- organic carbon --- salinity --- sustainable water production --- clogging --- Yamuna --- LC-OCD --- redox sensitivity --- pharmaceuticals --- high temperature --- performance --- riverbank filtration --- trihalomethanes --- iron