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Odonata --- Odonata. --- Dragonfly Society of America --- Dragonfly Society of the Americas --- Dragonfly Society of America.

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This is a collection of scientific research articles focusing on the associations and/or interactions of various aquatic animals with their microorganisms, focusing mostly on fish and, in particular, gut bacterial communities.

Research & information: general --- Biology, life sciences --- Microbiology (non-medical) --- hybrid striped bass --- microbiome --- bacteria --- bioprocessed soybean meal --- tuna --- enteric bacteria --- fish --- barcoding --- gut --- eating disorders --- feeding behavior --- gut microbiota --- Siniperca chuatsi --- innate immunity --- appetite --- Lactobacillus plantarum --- Lactobacillus rhamnosus --- Clostridium butyricum --- coral-macroalgal shift --- coral reef fish --- enteric bacteriome --- microbial functions --- Lacticaseibacillus casei --- colonization --- crucian carp --- gastrointestinal tract --- 60Co irradiation sterilization --- transit marker --- Geobacillus stearothermophilus --- high-throughput sequencing --- intestinal microflora --- fish gut --- biosurfactants --- grey mullets --- natural antibiotics --- Atlantic cod --- microbiota --- innate immune system --- germ-free --- gnotobiotic --- functional ingredient --- immunity --- core microbiome --- macroalga and rabbitfish --- bacterial motility --- motility methods --- flagella --- bacterial–host interaction --- microscopy --- melon-headed whale --- microbial communities --- aquatic mammal --- invertebrate --- sample preservation --- crayfish --- dragonfly --- hybrid fishes --- gut microbiome --- community and function --- speciation --- invasion --- fish conservation and management --- steelhead trout --- hatcheries --- aquaculture --- chemotherapeutants --- environmental variation --- founder effects --- lake sturgeon

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This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

n/a --- Stackelberg game --- MILP --- optimal congestion threshold --- magnetic field mitigation --- simulation --- multi-objective particle swarm optimization --- virtual power plant --- internal defect --- day-ahead load forecasting --- neural network --- modular predictor --- multi-objective particle swarm optimization algorithm --- stochastic optimization --- dragonfly algorithm --- unit commitment --- metaheuristic --- multi-population method (MP) --- optimization --- tabu search --- considerable decomposition --- loss minimization --- active distribution system --- islanded microgrid --- dynamic solving framework --- feature selection --- electric energy costs --- power factor compensation --- dependability --- interactive load --- overhead --- energy internet --- evolutionary computation --- wind power --- developed grew wolf optimizer --- underground --- ETAP --- fuzzy algorithm --- electric vehicles --- Schwarz’s equation --- evolutionary algorithms --- electric power contracts --- congestion management --- optimizing-scenarios method --- building energy management system --- particle encoding method --- ringdown detection --- HOMER software --- DC optimal power flow --- prosumer --- constrained parameter estimation --- distributed generations (DGs) --- strong track filter (STF) --- transient stability --- calibration --- cost minimization --- radiance --- decentralized and collaborative optimization --- hybrid renewable energy system --- renewable energy sources --- rural electrification --- distribution network reconfiguration --- interval variables --- optimization methods --- particle swarm optimization --- hierarchical scheduling --- micro grid --- AC/DC hybrid active distribution --- consensus --- artificial bee colony --- CCHP system --- data center --- support vector machine --- affinity propagation clustering --- extended Kalman filter --- affine arithmetic --- linear discriminant analysis (LDA) --- current margins --- heterogeneous networks --- Cameroon --- hybrid method --- distributed heat-electricity energy management --- discrete wind driven optimization --- fitness function --- cross-entropy --- GenOpt --- wind energy --- demand uncertainty --- UC --- off-design performance --- genetic algorithm --- energy storage --- the biomimetic membrane computing --- power system optimization --- electric vehicle --- power architectures --- economic load dispatch problem (ELD) --- runner-root algorithm (RRA) --- Cable joint --- battery energy storage system --- load curtailment --- integration assessment --- power system unit commitment --- artificial lighting --- power flow --- hybrid membrane computing --- two-point estimation method --- low-voltage networks --- demand bidding --- non-sinusoidal circuits --- energy flow model --- power transfer distribution factors --- sustainability --- HVAC system --- voltage deviation --- street light points --- radial basis function --- energy storage system --- charging/discharging --- power systems --- intelligent scatter search --- MV/LV substation --- optimal power flow --- stochastic state estimation --- eight searching sub-regions --- chaos optimization algorithm (COA) --- mutual information theory --- inter-turn shorted-circuit fault (ISCF) --- C&I particle swarm optimization --- multiobjective optimization --- passive shielding --- sub-Saharan Africa --- micro-phasor measurement unit --- geometric algebra --- bio-inspired algorithms --- adaptive consensus algorithm --- energy management --- PCS efficiency --- multi-stakeholders --- generalized generation distribution factors --- the genetic algorithm based P system --- JAYA algorithm --- thermal probability density --- power optimization --- pumped-hydro energy storage --- smart grid --- two-stage feature selection --- piecewise linear techniques --- photovoltaic --- SOCP relaxations --- switched reluctance machine (SRM) --- optimal reactive power dispatch --- optimal operation --- controllable response --- off-grid --- active shielding --- transformer-fault diagnosis --- IEEE Std. 80-2000 --- principal component analysis --- demand response --- Schwarz's equation

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In the last few decades, near-infrared (NIR) spectroscopy has distinguished itself as one of the most rapidly advancing spectroscopic techniques. Mainly known as an analytical tool useful for sample characterization and content quantification, NIR spectroscopy is essential in various other fields, e.g. NIR imaging techniques in biophotonics, medical applications or used for characterization of food products. Its contribution in basic science and physical chemistry should be noted as well, e.g. in exploration of the nature of molecular vibrations or intermolecular interactions. One of the current development trends involves the miniaturization and simplification of instrumentation, creating prospects for the spread of NIR spectrometers at a consumer level in the form of smartphone attachments—a breakthrough not yet accomplished by any other analytical technique. A growing diversity in the related methods and applications has led to a dispersion of these contributions among disparate scientific communities. The aim of this Special Issue was to bring together the communities that may perceive NIR spectroscopy from different perspectives. It resulted in 30 contributions presenting the latest advances in the methodologies essential in near-infrared spectroscopy in a variety of applications.

n/a --- pocket-sized spectrometer --- standard germination tests --- total hydroxycinnamic derivatives --- hyperspectral image --- quantitative analysis modeling --- tissue --- chemotherapy --- FTIR spectroscopy --- cheese --- biomeasurements --- chemometrics --- affine invariance --- rapid identification --- biodiagnosis --- bioanalytical applications --- fat --- NIRS --- pixel-wise --- paraffin-embedded --- late preterm --- maize kernel --- photonics --- hyperspectral image processing --- image processing --- colorectal cancer --- test set validation --- deep convolutional neural network --- near-infrared fluorescence --- classification --- variety discrimination --- near-infrared hyperspectral imaging --- ensemble learning --- light --- origin traceability --- Paris polyphylla var. yunnanensis --- Fourier transform mid-infrared spectroscopy --- dry matter --- Fourier transform infrared spectroscopy --- hyperspectral imaging --- FT-NIR spectroscopy --- proximal sensing --- perfusion measurements --- near-infrared spectroscopy --- stained --- carotenoids --- cellular imaging --- perturbation --- direct model transferability --- clinical classifications --- counterfeit and substandard pharmaceuticals --- hyperspectral imaging technology --- spectral imaging --- SVM --- nutritional parameters --- extra virgin olive oil --- ethanol --- osteopathy --- living cells --- object-wise --- water-mirror approach --- Chrysanthemum --- bootstrapping soft shrinkage --- FTIR --- PLS-R --- multivariate data analysis --- combination bands --- binary dragonfly algorithm --- geographical origin --- Vitis vinifera L. --- glucose --- detection --- di-(2-picolyl)amine --- non-destructive sensor --- splanchnic --- adulteration --- animal origin --- melamine --- artemether --- MicroNIR™ --- brain --- fluorescent probes --- Folin–Ciocalteu --- SCiO --- support vector machine --- anharmonic quantum mechanical calculations --- PLSR --- Zn(II) --- RMSEP --- overtones --- blackberries --- pasta/sauce blends --- FT-IR --- partial least squares calibration --- partial least squares (PLS) --- auxiliary diagnosis --- handheld near-infrared spectroscopy --- precision viticulture --- partial least squares --- seeds vitality --- freeze-damaged --- near infrared --- discriminant analysis --- corn seed --- quantum chemical calculation --- anharmonic calculation --- Trichosanthis Fructus --- moisture --- analytical spectroscopy --- Raman spectroscopy --- NIR spectroscopy --- calibration transfer --- imaging --- water --- lumefantrine --- BRAF V600E mutation --- wavelength selection --- bone cancer --- imaging visualization --- near infrared spectroscopy --- raisins --- chemometric techniques --- data fusion --- prepared slices --- Ewing sarcoma --- biomonitoring --- Rubus fructicosus --- VIS/NIR hyperspectral imaging --- combinations bands --- quantitative analysis model --- partial least square regression --- DFT calculations --- TreeBagger --- antimalarial tablets --- accelerated aging --- agriculture --- crude drugs --- spectroscopy --- rice seeds --- PLS --- isotopic substitution --- multivariate calibration --- phytoextraction --- Fourier-transform near-infrared spectroscopy --- phenolics --- deparaffinized --- near-infrared (NIR) spectroscopy --- SIMCA --- counter propagation artificial neural network --- fructose --- PLS-DA --- ultra-high performance liquid chromatography --- aquaphotomics --- support vector machine-discriminant analysis --- hier-SVM --- DNA --- NIR --- support vector machine model --- API --- principal component analysis --- Folin-Ciocalteu