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This book is written for scientists and engineers who use HHT (Hilbert-Huang Transform) to analyze data from nonlinear and non-stationary processes. It can be treated as a HHT user manual and a source of reference for HHT applications. The book contains the basic principle and method of HHT and various application examples, ranging from the correction of satellite orbit drifting to detection of failure of highway bridges. The thirteen chapters of the first edition are based on the presentations made at a mini-symposium at the Society for Industrial and Applied Mathematics in 2003. Some outstan

Hilbert-Huang transform. --- Decomposition (Mathematics) --- EMD-HSA method --- Empirical mode decomposition method --- HHT (Hilbert-Huang transform) --- Hilbert transform --- Time-series analysis --- Mathematics --- Probabilities --- Hilbert-Huang transform

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The role of nanotechnologies in personalized medicine is rising remarkably in the last decade because of the ability of these new sensing systems to diagnose diseases from early stages and the availability of continuous screenings to characterize the efficiency of drugs and therapies for each single patient. Recent technological advancements are allowing the development of biosensors in low-cost and user-friendly platforms, thereby overcoming the last obstacle for these systems, represented by limiting costs and low yield, until now. In this context, photonic biosensors represent one of the main emerging sensing modalities because of their ability to combine high sensitivity and selectivity together with real-time operation, integrability, and compatibility with microfluidics and electric circuitry for the readout, which is fundamental for the realization of lab-on-chip systems. This book, “Photonic Biosensors: Detection, Analysis and Medical Diagnostics”, has been published thanks to the contributions of the authors and collects research articles, the content of which is expected to assume an important role in the outbreak of biosensors in the biomedical field, considering the variety of the topics that it covers, from the improvement of sensors’ performance to new, emerging applications and strategies for on-chip integrability, aiming at providing a general overview for readers on the current advancements in the biosensing field.

integrated photonics --- microfluidics --- packaging --- photonic biosensors --- optical resonators --- multiplexed sensing --- 3D printing --- wearable laser Doppler flowmetry --- blood perfusion --- wavelet analysis --- smokers --- biosensors --- optical cavity-based biosensor --- biomarker detection --- noninvasive glucose sensing --- near-infrared spectroscopy --- skin tissue reflection spectroscopy --- calibration modeling --- science-based calibration (SBC) --- blood pressure --- photoplethysmography --- derivatives of PPG --- convolutional neural network --- ensemble empirical mode decomposition --- bacteria biofilm --- optoelectronic device --- antimicrobial resistance --- biosensing --- n/a

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Photoacoustic (or optoacoustic) imaging, including photoacoustic tomography (PAT) and photoacoustic microscopy (PAM), is an emerging imaging modality with great clinical potential. PAI’s deep tissue penetration and fine spatial resolution also hold great promise for visualizing physiology and pathology at the molecular level. PAI combines optical contrast with ultrasonic resolution, and is capable of imaging at depths of up to 7 cm with a real-time scalable spatial resolution of 10 to 500 µm. PAI has demonstrated applications in brain imaging and cancer imaging, such as breast cancer, prostate cancer, ovarian cancer etc. This Special Issue focuses on the novel technological developments and pre-clinical and clinical biomedical applications of PAI. Topics include but are not limited to: brain imaging; cancer imaging; image reconstruction; quantitative imaging; light source and delivery for PAI; photoacoustic detectors; nanoparticles designed for PAI; photoacoustic molecular imaging; photoacoustic spectroscopy.

photoacoustic imaging --- tomography --- thermoacoustic --- radio frequency --- image quality assessment --- image formation theory --- image reconstruction techniques --- sparsity --- signal processing --- deconvolution --- empirical mode decomposition --- signal deconvolution --- photoacoustics --- tissue characterization --- absorption --- Photoacoustic Computed Tomography (PACT) --- ring array --- fast imaging --- low cost --- photoacoustic tomography --- full-field detection --- wave equation --- final time inversion --- uniqueness --- stability --- iterative reconstruction --- 3D photoacoustic tomography --- full-view illumination and ultrasound detection --- photoacoustic coplanar --- quartz bowl --- correlation matrix filter --- time reversal operator --- photo-acoustic tomography --- reflection artifacts --- deep learning --- convolutional neural network --- time reversal --- Landweber algorithm --- U-net --- optoacoustic imaging --- respiratory gating --- motion artifacts --- full-ring illumination --- diffused-beam illumination --- point source illumination --- ultrasound tomography (UST) --- photoacoustic tomography (PAT) --- n/a

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The Hilbert-Huang Transform ((HHT) is a recently developed technique which is used to analyze nonstationary data. Hydrologic and environmental series are, in the main, analyzed by using techniques which were developed for stationary data. This has led to problems of interpretation of the results. Environmental and hydrologic series are quite often nonstationary. The basic objective of the material discussed in this book is to analyze these data by using methods based on the Hilbert-Huang transform. These results are compared to the results from the traditional methods such as those based on Fourier transform and other classical statistical tests. Audience This book will be of value to researchers interested in climate change and advanced graduate students in civil engineering, atmospheric sciences and statistics.

Hydrology --- Hilbert-Huang transform. --- Statistical methods. --- Data processing. --- EMD-HSA method --- Empirical mode decomposition method --- HHT (Hilbert-Huang transform) --- Hilbert transform --- Time-series analysis --- Hydraulic engineering. --- Climatic changes. --- Environmental sciences. --- Geography. --- Engineering mathematics. --- Geoengineering, Foundations, Hydraulics. --- Hydrogeology. --- Climate Change. --- Math. Appl. in Environmental Science. --- Earth Sciences, general. --- Mathematical and Computational Engineering. --- Engineering --- Engineering analysis --- Mathematical analysis --- Changes, Climatic --- Changes in climate --- Climate change --- Climate change science --- Climate changes --- Climate variations --- Climatic change --- Climatic changes --- Climatic fluctuations --- Climatic variations --- Global climate changes --- Global climatic changes --- Climatology --- Climate change mitigation --- Teleconnections (Climatology) --- Engineering, Hydraulic --- Fluid mechanics --- Hydraulics --- Shore protection --- Cosmography --- Earth sciences --- World history --- Environmental science --- Science --- Mathematics --- Environmental aspects --- Engineering geology. --- Engineering—Geology. --- Foundations. --- Hydraulics. --- Climate change. --- Earth sciences. --- Applied mathematics. --- Geosciences --- Environmental sciences --- Physical sciences --- Geohydrology --- Geology --- Groundwater --- Flow of water --- Water --- Hydraulic engineering --- Jets --- Architecture --- Building --- Structural engineering --- Underground construction --- Caissons --- Earthwork --- Masonry --- Soil consolidation --- Soil mechanics --- Walls --- Civil engineering --- Geology, Economic --- Flow --- Distribution --- Details --- Global environmental change

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The transition to 100% renewable energy in the future is one of the most important ways of achieving "carbon peaking and carbon neutrality" and of reducing the adverse effects of climate change. In this process, the safe, stable and economical operation of renewable energy generation systems, represented by hydro-, wind and solar power, is particularly important, and has naturally become a key concern for researchers and engineers. Therefore, this book focuses on the fundamental and applied research on the modeling, control, monitoring and diagnosis of renewable energy generation systems, especially hydropower energy systems, and aims to provide some theoretical reference for researchers, power generation departments or government agencies.

Research & information: general --- Physics --- doubly-fed variable-speed pumped storage --- Hopf bifurcation --- stability analysis --- parameter sensitivity --- pumped storage unit --- degradation trend prediction --- maximal information coefficient --- light gradient boosting machine --- variational mode decomposition --- gated recurrent unit --- high proportional renewable power system --- active power --- change point detection --- maximum information coefficient --- cosine similarity --- anomaly detection --- thermal-hydraulic characteristics --- hydraulic oil viscosity --- hydraulic PTO --- wave energy converter --- pumped storage units --- pressure pulsation --- noise reduction --- sparrow search algorithm --- hybrid system --- facility agriculture --- chaotic particle swarms method --- operation strategy --- stochastic dynamic programming (SDP) --- power yield --- seasonal price --- reliability --- cascaded reservoirs --- doubly-fed variable speed pumped storage power station --- nonlinear modeling --- nonlinear pump turbine characteristics --- pumped storage units (PSUs) --- successive start-up --- ‘S’ characteristics --- low water head conditions --- multi-objective optimization --- fractional order PID controller (FOPID) --- hydropower units --- comprehensive deterioration index --- long and short-term neural network --- ensemble empirical mode decomposition --- approximate entropy --- 1D–3D coupling model --- transition stability --- sensitivity analysis --- hydro power