Choose an application

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

The purpose of this SI is to provide an overview of recent advances made in the methods used for tissue imaging and characterization, which benefit from using a large range of optical wavelengths. Guerouah et al. has contributed a profound study of the responses of the adult human brain to breath-holding challenges based on hyperspectral near-infrared spectroscopy (hNIRS). Lange et al. contributed a timely and comprehensive review of the features and biomedical and clinical applications of supercontinuum laser sources. Blaney et al. reported the development of a calibration-free hNIRS system that can measure the absolute and broadband absorption and scattering spectra of turbid media. Slooter et al. studied the utility of measuring multiple tissue parameters simultaneously using four optical techniques operating at different wavelengths of light—optical coherence tomography (1300 nm), sidestream darkfield microscopy (530 nm), laser speckle contrast imaging (785 nm), and fluorescence angiography (~800 nm)—in the gastric conduit during esophagectomy. Caredda et al. showed the feasibility of accurately quantifying the oxy- and deoxy-hemoglobin and cytochrome-c-oxidase responses to neuronal activation and obtaining spatial maps of these responses using a setup consisting of a white light source and a hyperspectral or standard RGB camera. It is interest for the developers and potential users of clinical brain and tissue optical monitors, and for researchers studying brain physiology and functional brain activity.

Public health & preventive medicine --- hemodynamic brain mapping --- metabolic brain mapping --- Monte Carlo simulations --- intraoperative imaging --- optical imaging --- hyperspectral imaging --- RGB imaging --- fluorescence imaging --- fluorescence angiography --- indocyanine green (ICG) --- optical coherence tomography (OCT) --- laser speckle contrast imaging (LSCI) --- esophagectomy --- gastric conduit --- Sidestream Darkfield Microscopy (SDF) --- multispectral --- broadband diffuse reflectance spectroscopy --- frequency-domain near-infrared spectroscopy --- dual-slope --- absorption spectra --- supercontinuum laser --- NIRS --- tissue optics --- diffuse optics --- near-infrared spectroscopy --- brain --- BOLD signal --- breath-holding --- cytochrome C oxidase --- n/a

Choose an application

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

The purpose of this SI is to provide an overview of recent advances made in the methods used for tissue imaging and characterization, which benefit from using a large range of optical wavelengths. Guerouah et al. has contributed a profound study of the responses of the adult human brain to breath-holding challenges based on hyperspectral near-infrared spectroscopy (hNIRS). Lange et al. contributed a timely and comprehensive review of the features and biomedical and clinical applications of supercontinuum laser sources. Blaney et al. reported the development of a calibration-free hNIRS system that can measure the absolute and broadband absorption and scattering spectra of turbid media. Slooter et al. studied the utility of measuring multiple tissue parameters simultaneously using four optical techniques operating at different wavelengths of light—optical coherence tomography (1300 nm), sidestream darkfield microscopy (530 nm), laser speckle contrast imaging (785 nm), and fluorescence angiography (~800 nm)—in the gastric conduit during esophagectomy. Caredda et al. showed the feasibility of accurately quantifying the oxy- and deoxy-hemoglobin and cytochrome-c-oxidase responses to neuronal activation and obtaining spatial maps of these responses using a setup consisting of a white light source and a hyperspectral or standard RGB camera. It is interest for the developers and potential users of clinical brain and tissue optical monitors, and for researchers studying brain physiology and functional brain activity.

Public health & preventive medicine --- hemodynamic brain mapping --- metabolic brain mapping --- Monte Carlo simulations --- intraoperative imaging --- optical imaging --- hyperspectral imaging --- RGB imaging --- fluorescence imaging --- fluorescence angiography --- indocyanine green (ICG) --- optical coherence tomography (OCT) --- laser speckle contrast imaging (LSCI) --- esophagectomy --- gastric conduit --- Sidestream Darkfield Microscopy (SDF) --- multispectral --- broadband diffuse reflectance spectroscopy --- frequency-domain near-infrared spectroscopy --- dual-slope --- absorption spectra --- supercontinuum laser --- NIRS --- tissue optics --- diffuse optics --- near-infrared spectroscopy --- brain --- BOLD signal --- breath-holding --- cytochrome C oxidase

Choose an application

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

Symmetry is one of the most important notions in natural science; it lies at the heart of fundamental laws of nature and serves as an important tool for understanding the properties of complex systems, both classical and quantum. Another trend, which has in recent years undergone intensive development, is mesoscopic physics. This branch of physics also combines classical and quantum ideas and methods. Two main directions can be distinguished in mesoscopic physics. One is the study of finite quantum systems of mesoscopic sizes. Such systems, which are between the atomic and macroscopic scales, exhibit a variety of novel phenomena and find numerous applications in creating modern electronic and spintronic devices. At the same time, the behavior of large systems can be influenced by mesoscopic effects, which provides another direction within the framework of mesoscopic physics. The aim of the present book is to emphasize the phenomena that lie at the crossroads between the concept of symmetry and mesoscopic physics.

Research & information: general --- Bose systems --- asymptotic symmetry breaking --- Bose–Einstein condensation --- particle fluctuations --- stability of Bose systems --- fractals --- small-angle scattering --- form factor --- structural properties --- dimension spectra --- pair distance distribution function --- stochastic dynamics --- symmetry breaking --- field-theoretic renormalization group --- Bose–Einstein condensates --- density --- position variance --- momentum variance --- angular-momentum variance --- harmonic-interaction model --- MCTDHB --- particle-hole symmetry --- metal–insulator transition --- random gap model --- Monte Carlo simulations --- structure factor --- quantum droplet --- binary Bose–Einstein condensate --- modulational instability --- graphene --- ripple --- transport --- symmetry --- quantum dot --- Kramers degeneracy --- spin-orbit interaction --- tight-binding approach --- Bose-Einstein condensates --- Josephson oscillations --- spontaneous symmetry breaking --- Thomas-Fermi approximation --- dynamical chaos --- ground states --- perturbation theory

Choose an application

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

The deployment of distributed renewable energy resources (DRERs) has accelerated globally due to environmental concerns and an increasing demand for electricity. DRERs are considered to be solutions to some of the current challenges related to power grids, such as reliability, resilience, efficiency, and flexibility. However, there are still several technical and non-technical challenges regarding the deployment of distributed renewable energy resources. Technical concerns associated with the integration and control of DRERs include, but are not limited, to optimal sizing and placement, optimal operation in grid-connected and islanded modes, as well as the impact of these resources on power quality, power system security, stability, and protection systems. On the other hand, non-technical challenges can be classified into three categories—regulatory issues, social issues, and economic issues. This Special Issue will address all aspects related to the integration and control of distributed renewable energy resources. It aims to understand the existing challenges and explore new solutions and practices for use in overcoming technical challenges.

distribution system --- microgrids --- power quality --- power system management --- power system reliability --- smart grids --- distribution networks --- Monte Carlo simulations --- PV hosting capacity --- photovoltaics --- green communities --- energy independence --- HOMER --- wind turbines --- power losses --- power system optimization --- PV curves --- DG --- TSA/SCA --- solar-powered electric vehicle parking lots --- different PV technologies --- PLO’s profit --- uncertainties --- smart grid paradigm --- distributed generation --- model-based predictive control --- robustness --- worst-case scenario --- min–max optimisation --- intraday forecasting --- Gaussian process regression --- machine learning --- off-grid system --- composite control strategy --- solar photovoltaic panel --- wind turbine --- diesel generator --- energy storage system (ESS) --- synchronous machine (SM) --- permanent magnet brushless DC machine (PMBLDCM) --- power quality improvement --- n/a --- PLO's profit --- min-max optimisation

Choose an application

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

This Special Issue of Entropy, titled “Recent Advances in Single-Particle Tracking: Experiment and Analysis”, contains a collection of 13 papers concerning different aspects of single-particle tracking, a popular experimental technique that has deeply penetrated molecular biology and statistical and chemical physics. Presenting original research, yet written in an accessible style, this collection will be useful for both newcomers to the field and more experienced researchers looking for some reference. Several papers are written by authorities in the field, and the topics cover aspects of experimental setups, analytical methods of tracking data analysis, a machine learning approach to data and, finally, some more general issues related to diffusion.

diauxic growth --- replicator equation --- mesoscopic model --- integro-differential equations --- anomalous diffusion --- statistical analysis --- single-particle tracking --- trajectory classification --- fractional Brownian motion --- estimation --- autocovariance function --- neural network --- Monte Carlo simulations --- multifractional Brownian motion --- power of the statistical test --- machine learning classification --- feature engineering --- confinement --- information theory --- Brownian particle --- stochastic thermodynamics --- CTRW --- diffusing-diffusivity --- occupation time statistics --- wound healing dynamics --- single pseudo-particle tracking --- phase contrast image segmentation --- 3D single-particle tracking --- Fisher information --- non-uniform illumination --- SPT --- deep learning --- residual neural networks --- random walk --- heterogeneous --- endosomes --- single particle trajectory --- stochastic processes --- trapping