Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Currently, nano/microparticles are widely used in various fields. Silver particles are one of the most vital of the various particles, due to their unique optical–physical–chemical properties. The developed materials have been proposed for use in various fields such as in biosensors, diagnostics, imaging, catalysts, solar cells, and as antibacterials. Their unique, size-dependent plasmonic properties render the particles superior in biomedical applications. This importance of silver materials led to the first edition of Silver Nano/Microparticles: Modification and Applications, which was successfully published last year with ten outstanding papers. This second edition of the Special Issue also provides original contributions detailing the synthesis, modification, and applications of silver materials. Eleven outstanding papers which describe examples of the most recent advances in silver nano/microparticles are included.

antiviral property --- healthcare workers (HCWs) --- medical application --- microbicidal property --- silver nanoparticles (Ag NPs) --- cytotoxicity --- silver nanoparticles --- Candida albicans --- poly(methyl methacrylate) --- dental prostheses --- ultrasensitive detection --- thiram --- internal standard --- gold–silver-alloy-embedded silica nanoparticles --- bamboo --- Ag/TiO2 nanocomposites --- self-sacrificing reduction --- antifungal activity --- cyclophanes --- resorcin[4]arenes --- calix[n]arenes --- thiacalix[n]arenes --- pillar[n]arenes --- self-assembly --- silver nanostructures --- silver islands film --- silver deposition --- metal enhanced luminescence --- silver nanowires --- nanomaterials --- biocompatibility --- AgNP --- peptide array --- biomineralization --- green synthesis --- SIF --- photosynthetic complexes --- biohybrid structures --- MEF --- healthcare workers --- hydroxyl radical --- microbicidal activity --- silver nanoparticles (AgNPs) --- ultraviolet (UV) irradiation --- histamine --- fish --- gold-silver alloy-embedded silica nanoparticles --- surface-enhanced Raman scattering (SERS) --- reliable and sensitive detection --- n/a --- gold-silver-alloy-embedded silica nanoparticles

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book focuses on the fundamental and applied research of the non-destructive estimation and diagnosis of crop leaf and plant nitrogen status and in-season nitrogen management strategies based on leaf sensors, proximal canopy sensors, unmanned aerial vehicle remote sensing, manned aerial remote sensing and satellite remote sensing technologies. Statistical and machine learning methods are used to predict plant-nitrogen-related parameters with sensor data or sensor data together with soil, landscape, weather and/or management information. Different sensing technologies or different modelling approaches are compared and evaluated. Strategies are developed to use crop sensing data for in-season nitrogen recommendations to improve nitrogen use efficiency and protect the environment.

Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- UAS --- multiple sensors --- vegetation index --- leaf nitrogen accumulation --- plant nitrogen accumulation --- pasture quality --- airborne hyperspectral imaging --- random forest regression --- sun-induced chlorophyll fluorescence (SIF) --- SIF yield indices --- upward --- downward --- leaf nitrogen concentration (LNC) --- wheat (Triticum aestivum L.) --- laser-induced fluorescence --- leaf nitrogen concentration --- back-propagation neural network --- principal component analysis --- fluorescence characteristics --- canopy nitrogen density --- radiative transfer model --- hyperspectral --- winter wheat --- flooded rice --- pig slurry --- aerial remote sensing --- vegetation indices --- N recommendation approach --- Mediterranean conditions --- nitrogen --- vertical distribution --- plant geometry --- remote sensing --- maize --- UAV --- multispectral imagery --- LNC --- non-parametric regression --- red-edge --- NDRE --- dynamic change model --- sigmoid curve --- grain yield prediction --- leaf chlorophyll content --- red-edge reflectance --- spectral index --- precision N fertilization --- chlorophyll meter --- NDVI --- NNI --- canopy reflectance sensing --- N mineralization --- farmyard manures --- Triticum aestivum --- discrete wavelet transform --- partial least squares --- hyper-spectra --- rice --- nitrogen management --- reflectance index --- multiple variable linear regression --- Lasso model --- Multiplex®3 sensor --- nitrogen balance index --- nitrogen nutrition index --- nitrogen status diagnosis --- precision nitrogen management --- terrestrial laser scanning --- spectrometer --- plant height --- biomass --- nitrogen concentration --- precision agriculture --- unmanned aerial vehicle (UAV) --- digital camera --- leaf chlorophyll concentration --- portable chlorophyll meter --- crop --- PROSPECT-D --- sensitivity analysis --- UAV multispectral imagery --- spectral vegetation indices --- machine learning --- plant nutrition --- canopy spectrum --- non-destructive nitrogen status diagnosis --- drone --- multispectral camera --- SPAD --- smartphone photography --- fixed-wing UAV remote sensing --- random forest --- canopy reflectance --- crop N status --- Capsicum annuum --- proximal optical sensors --- Dualex sensor --- leaf position --- proximal sensing --- cross-validation --- feature selection --- hyperparameter tuning --- image processing --- image segmentation --- nitrogen fertilizer recommendation --- supervised regression --- RapidSCAN sensor --- nitrogen recommendation algorithm --- in-season nitrogen management --- nitrogen use efficiency --- yield potential --- yield responsiveness --- standard normal variate (SNV) --- continuous wavelet transform (CWT) --- wavelet features optimization --- competitive adaptive reweighted sampling (CARS) --- partial least square (PLS) --- grapevine --- hyperparameter optimization --- multispectral imaging --- precision viticulture --- RGB --- multispectral --- coverage adjusted spectral index --- vegetation coverage --- random frog algorithm --- active canopy sensing --- integrated sensing system --- discrete NIR spectral band data --- soil total nitrogen concentration --- moisture absorption correction index --- particle size correction index --- coupled elimination

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing.

gross primary production (GPP) --- interference filter --- Visible Infrared Imaging Radiometer Suite (VIIRS) --- cost-efficient --- precipitation --- topographic effects --- land surface temperature --- Land surface emissivity --- scale effects --- spatial-temporal variations --- statistics methods --- inter-annual variation --- spatial representativeness --- FY-3C/MERSI --- sunphotometer --- PROSPECT --- passive microwave --- flux measurements --- urban scale --- vegetation dust-retention --- multiple ecological factors --- leaf age --- standard error of the mean --- LUT method --- spectra --- SURFRAD --- Land surface temperature --- aboveground biomass --- uncertainty --- land surface variables --- copper --- Northeast China --- forest disturbance --- end of growing season (EOS) --- random forest model --- probability density function --- downward shortwave radiation --- machine learning --- MODIS products --- composite slope --- daily average value --- canopy reflectance --- spatiotemporal representative --- light use efficiency --- hybrid method --- disturbance index --- quantitative remote sensing inversion --- SCOPE --- GPP --- South China’s --- anisotropic reflectance --- vertical structure --- snow cover --- land cover change --- start of growing season (SOS) --- MS–PT algorithm --- aerosol --- pixel unmixing --- HiWATER --- algorithmic assessment --- surface radiation budget --- latitudinal pattern --- ICESat GLAS --- vegetation phenology --- SIF --- metric comparison --- Antarctica --- spatial heterogeneity --- comprehensive field experiment --- reflectance model --- sinusoidal method --- NDVI --- BRDF --- cloud fraction --- NPP --- VPM --- China --- dense forest --- vegetation remote sensing --- Cunninghamia --- high resolution --- geometric-optical model --- phenology --- LiDAR --- ZY-3 MUX --- point cloud --- multi-scale validation --- Fraunhofer Line Discrimination (FLD) --- rice --- fractional vegetation cover (FVC) --- interpolation --- high-resolution freeze/thaw --- drought --- Synthetic Aperture Radar (SAR) --- controlling factors --- sampling design --- downscaling --- n/a --- Chinese fir --- MRT-based model --- RADARSAT-2 --- northern China --- leaf area density --- potential evapotranspiration --- black-sky albedo (BSA) --- decision tree --- CMA --- fluorescence quantum efficiency in dark-adapted conditions (FQE) --- surface solar irradiance --- validation --- geographical detector model --- vertical vegetation stratification --- spatiotemporal distribution and variation --- gap fraction --- phenological parameters --- spatio-temporal --- albedometer --- variability --- GLASS --- gross primary productivity (GPP) --- EVI2 --- machine learning algorithms --- latent heat --- GLASS LAI time series --- boreal forest --- leaf --- maize --- heterogeneity --- temperature profiles --- crop-growing regions --- satellite observations --- rugged terrain --- species richness --- voxel --- LAI --- TMI data --- GF-1 WFV --- spectral --- HJ-1 CCD --- leaf area index --- evapotranspiration --- land-surface temperature products (LSTs) --- SPI --- AVHRR --- Tibetan Plateau --- snow-free albedo --- PROSPECT-5B+SAILH (PROSAIL) model --- MCD43A3 C6 --- 3D reconstruction --- photoelectric detector --- multi-data set --- BEPS --- aerosol retrieval --- plant functional type --- multisource data fusion --- remote sensing --- leaf spectral properties --- solo slope --- land surface albedo --- longwave upwelling radiation (LWUP) --- terrestrial LiDAR --- AMSR2 --- geometric optical radiative transfer (GORT) model --- MuSyQ-GPP algorithm --- tree canopy --- FY-3C/MWRI --- meteorological factors --- solar-induced chlorophyll fluorescence --- metric integration --- observations --- polar orbiting satellite --- arid/semiarid --- homogeneous and pure pixel filter --- thermal radiation directionality --- biodiversity --- gradient boosting regression tree --- forest canopy height --- Landsat --- subpixel information --- MODIS --- humidity profiles --- NIR --- geostationary satellite --- South China's --- MS-PT algorithm

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The mechanics of fracture and fatigue have produced a huge body of research work in relation to applications to metal materials and structures. However, a variety of non-metallic materials (e.g., concrete and cementitious composites, rocks, glass, ceramics, bituminous mixtures, composites, polymers, rubber and soft matter, bones and biological materials, and advanced and multifunctional materials) have received relatively less attention, despite their attractiveness for a large spectrum of applications related to the components and structures of diverse engineering branches, applied sciences and architecture, and to the load-carrying systems of biological organisms. This book covers the broad topic of structural integrity of non-metallic materials, considering the modelling, assessment, and reliability of structural elements of any scale. Original contributions from engineers, mechanical materials scientists, computer scientists, physicists, chemists, and mathematicians are presented, applying both experimental and theoretical approaches.

Ethylene-propylene diene monomer rubber EPDM --- grommet --- physical properties --- optimization of shape design --- reliability of rocks --- fatigue load --- strain energy --- red sandstone --- distribution of strain energy --- indices --- multi-scale simulation --- fatigue loading --- road bridge decks --- stagnant water --- fracture toughness --- blast furnace slag --- particle size --- compressive strength --- concrete --- concrete cracking --- crack patterns --- carbon fiber-reinforced polymers—CFRP --- RC strengthening (in bending and shear) --- RC beams --- soft materials --- polymers --- strain rate --- defect tolerance --- digital image correlation --- stress concentrators --- notch blunting --- lightning strike --- composite reinforced panel --- blow-off impulse --- electric-thermal coupling --- boundary effect --- size effect --- tensile strength --- physical modelling test --- rock structure --- fracture --- deformation --- mining --- neutral axis --- self-healing --- successive strain gauge --- flexural test --- bridge decks --- pseudo-cracking method --- data assimilation --- triaxial compression test --- sandstone --- rock mechanics --- rock fracture --- energy evolution --- rock-like material --- crack propagation --- discrete element --- strain rate tensor --- velocity field --- jointed rock --- uniaxial tension loading --- numerical analysis --- discrete element method --- strata structural behavior --- numerical simulation --- tension weakening --- fractures --- goaf consolidation --- fatigue life --- modified asphalt mixture --- four-point bending beam fatigue test --- two-point trapezoidal beam fatigue test --- overlay tester --- embedment --- shale rock --- proppant pack --- fracture width --- fly ash --- fineness --- fracture energy --- critical stress intensity factor --- assessment --- bridge evaluation --- compressive membrane action --- concrete bridges --- fatigue --- fatigue assessment --- live loads --- prestressed concrete --- punching shear --- scale model --- CFRP --- Low Velocity Impacts --- Cohesive Zone Model (CZM) --- Finite Element Analysis (FEA) --- VUMAT --- inter-laminar damage --- intra-laminar damage --- chemical grouting --- flowing water --- water plugging rate --- joint roughness coefficient --- damage model --- mode-II microcracks --- thermodynamics --- reinforced concrete beam --- impact and quasi-static loading --- retrofitting --- mineral grain shape --- particle flow code --- uniaxial compression simulation --- rock mechanical property --- mesostructure --- finite element analysis --- cohesive zone model --- high performance concrete --- fibre-reinforced high performance concrete --- compressive stress --- compressive modulus of elasticity --- maximum compressive strain --- tension --- pressure-tension apparatus --- nondestructive testing --- ultrasonic pulse velocity --- ABAQUS FEA --- high-temperature wedge splitting test --- fracture parameters --- reducing condition --- carbon-containing refractories --- strain-softening --- failure probability --- diamond composite --- material failure characteristics --- reliability --- rock cutting picks --- civil engineering --- fiber-reinforced composite laminate --- multi-directional laminate --- delamination --- elastic interface --- energy release rate --- mixed-mode fracture --- enhanced PG-NEM --- functionally graded material (FGM) --- stress intensity factor (SIF) --- modified interaction integral --- metallic glasses --- shear bands --- mechanical properties --- fracture mechanism --- small wind turbine --- stall regulation --- pitch regulation --- aeroelastic simulation --- n/a --- Fatigue --- Fracture mechanics --- Structural integrity --- Polymers --- Composites --- Ceramics --- Concrete --- Rock --- Soft matter --- Advanced materials. --- carbon fiber-reinforced polymers-CFRP