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Palladium (Pd)-based membranes have received a great deal of attention from both academia and industry thanks to their ability to selectively separate hydrogen from gas streams. The integration of such membranes with appropriate catalysts in membrane reactors allows for hydrogen production with CO2 capture that can be applied in smaller bioenergy or combined heat and power (CHP) plants, as well as in large-scale power plants. Pd-based membranes are therefore regarded as a Key Enabling Technology (KET) to facilitate the transition towards a knowledge-based, low-carbon, and resource-efficient economy. This Special Issue of the journal Membranes on “Pd-based Membranes: Overview and Perspectives” contains nine peer-reviewed articles. Topics include manufacturing techniques, understanding of material phenomena, module and reactor design, novel applications, and demonstration efforts and industrial exploitation.

hydrides --- membrane --- Pd-Ag membranes --- electroless plating --- defect distribution --- hydrogen --- hydrogen production --- suspension plasma spraying --- chemical potential --- review --- grain boundary --- manufacturing --- palladium --- LOHC --- palladium alloy --- open architecture --- PdAg-membrane --- hydrogen permeation --- modelling --- membranes --- pore mouth size distribution --- MLLDP --- solubility --- closed architecture --- demonstration --- Pd-based membrane --- methanol steam reforming --- activity --- micro reactor --- microstructured --- hydrogen separation --- membrane reactors --- Pd alloy --- hydrogen purification --- palladium-based membrane --- gas to liquid --- dense Pd membrane --- propylene --- heat treatment --- surface characterization --- porous membrane --- multi-stage --- membrane reactor --- dehydrogenation

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Palladium (Pd)-based membranes have received a great deal of attention from both academia and industry thanks to their ability to selectively separate hydrogen from gas streams. The integration of such membranes with appropriate catalysts in membrane reactors allows for hydrogen production with CO2 capture that can be applied in smaller bioenergy or combined heat and power (CHP) plants, as well as in large-scale power plants. Pd-based membranes are therefore regarded as a Key Enabling Technology (KET) to facilitate the transition towards a knowledge-based, low-carbon, and resource-efficient economy. This Special Issue of the journal Membranes on “Pd-based Membranes: Overview and Perspectives” contains nine peer-reviewed articles. Topics include manufacturing techniques, understanding of material phenomena, module and reactor design, novel applications, and demonstration efforts and industrial exploitation.

hydrides --- membrane --- Pd-Ag membranes --- electroless plating --- defect distribution --- hydrogen --- hydrogen production --- suspension plasma spraying --- chemical potential --- review --- grain boundary --- manufacturing --- palladium --- LOHC --- palladium alloy --- open architecture --- PdAg-membrane --- hydrogen permeation --- modelling --- membranes --- pore mouth size distribution --- MLLDP --- solubility --- closed architecture --- demonstration --- Pd-based membrane --- methanol steam reforming --- activity --- micro reactor --- microstructured --- hydrogen separation --- membrane reactors --- Pd alloy --- hydrogen purification --- palladium-based membrane --- gas to liquid --- dense Pd membrane --- propylene --- heat treatment --- surface characterization --- porous membrane --- multi-stage --- membrane reactor --- dehydrogenation

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The Special Issue entitled “Remote Sensing in Vessel Detection and Navigation” comprises 15 articles on many topics related to remote sensing with navigational sensors. The sequence of articles included in this Special Issue is in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used. It can be said that navigation and vessel detection remain important and hot topics, and a lot of work will continue to be done worldwide. New techniques and methods for analyzing and extracting information from navigational sensors and data have been proposed and verified. Some of these will spark further research, and some are already mature and can be considered for industrial implementation and development.

Research & information: general --- autonomous navigation --- automatic radar plotting aid --- safe objects control --- game theory --- computer simulation --- Sentinel-2 --- multispectral --- temporal offsets --- ship --- aircraft --- velocity --- altitude --- parallax --- jet stream --- Unmanned Surface Vessel (USV) --- multi-Global Navigation Satellite System (GNSS) receiver --- bathymetric measurements --- cross track error (XTE) --- SSL --- six-degrees-of-freedom motion --- motion attitude model --- edge detection --- straight-line fitting --- visual saliency --- vessel detection --- video monitoring --- inland waterway --- real-time detection --- neural network --- target recognition --- HRRP --- residual structure --- loss function --- trajectory tracking --- unmanned surface vehicle --- navigation --- bathymetry --- hydrographic survey --- real-time communication --- maritime situational awareness --- ship detection --- Iridium --- on-board --- image processing --- flight campaign --- position estimation --- ranging mode --- single shore station --- AIS --- bag-of-words mechanism --- machine learning --- image analysis --- ship classification --- marine system --- river monitoring system --- feature extraction --- synthetic aperture radar (SAR) ship detection --- multi-stage rotational region based network (MSR2N) --- rotated anchor generation --- multi-stage rotational detection network (MSRDN) --- convolutional neural network (CNN) --- synthetic aperture radar (SAR) --- multiscale and small ship detection --- complex background --- false alarm --- farbon dioxide peaks --- midwave infrared --- FTIR --- adaptive stochastic resonance (ASR) --- matched intrawell response --- nonlinear filter --- line enhancer --- autonomous underwater vehicles (AUVs) --- target tracking --- group targets --- GLMB --- structure --- formation --- remote sensing

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The Special Issue entitled “Remote Sensing in Vessel Detection and Navigation” comprises 15 articles on many topics related to remote sensing with navigational sensors. The sequence of articles included in this Special Issue is in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used. It can be said that navigation and vessel detection remain important and hot topics, and a lot of work will continue to be done worldwide. New techniques and methods for analyzing and extracting information from navigational sensors and data have been proposed and verified. Some of these will spark further research, and some are already mature and can be considered for industrial implementation and development.

Research & information: general --- autonomous navigation --- automatic radar plotting aid --- safe objects control --- game theory --- computer simulation --- Sentinel-2 --- multispectral --- temporal offsets --- ship --- aircraft --- velocity --- altitude --- parallax --- jet stream --- Unmanned Surface Vessel (USV) --- multi-Global Navigation Satellite System (GNSS) receiver --- bathymetric measurements --- cross track error (XTE) --- SSL --- six-degrees-of-freedom motion --- motion attitude model --- edge detection --- straight-line fitting --- visual saliency --- vessel detection --- video monitoring --- inland waterway --- real-time detection --- neural network --- target recognition --- HRRP --- residual structure --- loss function --- trajectory tracking --- unmanned surface vehicle --- navigation --- bathymetry --- hydrographic survey --- real-time communication --- maritime situational awareness --- ship detection --- Iridium --- on-board --- image processing --- flight campaign --- position estimation --- ranging mode --- single shore station --- AIS --- bag-of-words mechanism --- machine learning --- image analysis --- ship classification --- marine system --- river monitoring system --- feature extraction --- synthetic aperture radar (SAR) ship detection --- multi-stage rotational region based network (MSR2N) --- rotated anchor generation --- multi-stage rotational detection network (MSRDN) --- convolutional neural network (CNN) --- synthetic aperture radar (SAR) --- multiscale and small ship detection --- complex background --- false alarm --- farbon dioxide peaks --- midwave infrared --- FTIR --- adaptive stochastic resonance (ASR) --- matched intrawell response --- nonlinear filter --- line enhancer --- autonomous underwater vehicles (AUVs) --- target tracking --- group targets --- GLMB --- structure --- formation --- remote sensing

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During the last decade, software developments in Scanning Electron Microscopy (SEM) provoked a notable increase of applications to the study of solid matter. The mineral liberation analysis (MLA) of processed metal ores was an important drive for innovations that led to QEMSCAN, MLA and other software platforms. These combine the assessment of the backscattered electron (BSE) image to the directed steering of the electron beam for energy dispersive spectroscopy (EDS) to automated mineralogy. However, despite a wide distribution of SEM instruments in material research and industry, the potential of SEM automated mineralogy is still under-utilised. The characterisation of primary ores, and the optimisation of comminution, flotation, mineral concentration and metallurgical processes in the mining industry by generating quantified data, is still the major application field of SEM automated mineralogy. However, there is interesting potential beyond these classical fields of geometallurgy and metal ore fingerprinting. Slags, pottery and artefacts can be studied in an archeological context for the recognition of provenance and trade pathways; soil, and solid particles of all kinds, are objects in forensic science. SEM automated mineralogy allows new insight in the fields of process chemistry and recycling technology.

Research & information: general --- Zr-REE-Nb deposits --- alkaline rocks --- automated mineralogy --- Khalzan Buregtei --- automated scanning electron microscopy --- QEMSCAN® --- trace minerals --- gold --- REE minerals --- REE carbonatite ore --- comminution --- multi-stage flotation --- EDX spectra --- MLA --- mineral processing --- iron ore --- Kiruna --- Raman spectroscopy --- magnetite --- hematite --- scanning electron microscopy (SEM) --- automated quantitative analysis (AQM) --- spectrum quantification --- signal deconvolution --- fault gouge --- 200-nm resolution --- grain size distribution --- Ikkattup nunaa --- mineral maps --- submicrometer --- automated quantitative mineralogy (AQM) --- scanning electron microscopy --- ZEISS Mineralogic --- Fiskenæsset complex --- Feret angle --- element concentration map --- visualization --- mineral association --- bulk composition --- grain size --- waste of electrical and electronic equipment --- X-ray computed tomography --- mineral liberation analysis --- indicator minerals --- heavy mineral concentrates --- till sampling --- VMS --- Izok Lake --- sewage sludge ashes (SSA) --- phosphate --- recycling --- recovery --- SEM-automated mineralogy --- mineral liberation analysis (MLA) --- scanning electron microscope --- raw materials --- resource technology --- granular material --- petrology --- n/a