Choose an application

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

Reinforced soils --- Soil stabilization --- Mechanically stabilized earth --- MSE (Mechanically stabilized earth) --- Reinforced earth --- Soils, Reinforced --- Soils

Choose an application

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

Due to increasing global food needs as a result of population growth, the use of new food sources has gained interest in the last decade. However, the inclusion of new foods in our diet, as well as the increased interest of the population in consuming foods with better nutritional properties, has increased the need for adequate food analytical methods. This monographic issue presents innovative methods of chemical analysis of foods, as well as the nutritional and chemical characterization of foods whose consumption is expected to increase worldwide in the coming years.

blanching --- n/a --- acrylamide --- thickness --- seaweeds --- N-carbamylglutamate --- Chlorophyceae --- EPA+DHA --- hydrolysates --- Phaeophyceae --- carbohydrates --- scanning electron microscopy --- antioxidant --- scorpion (Buthus martensii Karsch) protein --- Gracilaria --- animal products --- milk --- prebiotic --- extraction --- functional properties --- refined commercial salmon oil --- HPLC-MS/MS --- total FA yield --- avocado oil --- n-3 long-chain polyunsaturated fatty acids (n-3 LCPUFAs) concentration --- DHA --- alcalase --- antioxidants compounds --- flavourzyme --- phenolic compounds --- UPLC-MSE --- oil extraction --- frying time --- response surface methodology --- fatty acid profile --- response surface methodology (RSM) --- Amazonian fruits --- water holding capacity --- phenolic acids --- amaranth protein --- temperature --- feeds --- multiple response optimization --- polysaccharides --- fatty acids --- Artemisia argyi leaves --- seaweed --- Rhodophyceae --- process variable maximization --- bioactive peptides --- vitamins --- EPA --- desirability function --- ultrasonic extraction --- bioactive compounds --- crisps --- deep eutectic solvents

Choose an application

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

Multiple-input, multiple-output (MIMO), which transmits multiple data streams via multiple antenna elements, is one of the most attractive technologies in the wireless communication field. Its extension, called ‘massive MIMO’ or ‘large-scale MIMO’, in which base station has over one hundred of the antenna elements, is now seen as a promising candidate to realize 5G and beyond, as well as 6G mobile communications. It has been the first decade since its fundamental concept emerged. This Special Issue consists of 19 papers and each of them focuses on a popular topic related to massive MIMO systems, e.g. analog/digital hybrid signal processing, antenna fabrication, and machine learning incorporation. These achievements could boost its realization and deepen the academic and industrial knowledge of this field.

History of engineering & technology --- Energy industries & utilities --- distributed massive MIMO --- phase noise --- amplified thermal noise --- spectral efficiency --- 5G --- massive MIMO --- computational efficiency --- precoding algorithms --- channel estimation --- far-field --- antenna array --- diagnosis procedure --- noisy data --- BCS --- millimeter-wave --- energy efficiency --- pilot contamination --- quantization noise --- massive multi-input multi-output (MIMO) --- distributed antenna systems (DAS) --- sounding reference signal (SRS) --- Massive MIMO --- pilot decontamination --- MSE --- dynamic user scheduling --- dynamic pilot allocation --- beamforming --- line-of-sight --- Ricean fading --- frequency-selective --- power scaling --- hybrid beamforming --- HetNets --- mmWaves --- analog multi-beam --- hybrid beam-forming --- PHY layer --- MAC layer --- pilot assignment --- large-scale fading coefficients --- Bayesian inference --- overcomplete dictionary --- diamond-ring slot --- dual-polarized antenna --- mobile-phone antenna --- pattern diversity --- Metamaterials (MTM) --- leaky-wave antenna (LWA) --- antenna arrays --- substrate integrated waveguide (SIW) --- transverse slots --- beam-scanning --- mutual coupling isolation --- millimetre-wave --- composite right/left-handed transmission line (CRLH-TL) --- 5G wireless networks --- non-coherent detection --- QAM --- multi-user MIMO --- space division multiple access (SDMA) --- block diagonalization (BD) --- non-orthogonal multiple access (NOMA) --- broadcast channel --- discontinuous deception --- multiple beam communications --- artificial intelligence --- wireless communications --- non-orthogonal unicast and multicast transmission --- statistical channel state information --- beam domain --- massive MIMO systems --- MIDE algorithm --- low computational complexity --- BER --- resource allocation --- n/a

Choose an application

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

Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. Multivariate approaches have also been developed. The algorithms for an MSE approach are composed of two main steps: (i) a coarse-graining procedure to represent the system’s dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associated with the coarse-graining approach, each one having its advantages and drawbacks. In this Special Issue, we gathered 24 papers focusing on either the theory or applications of MSE approaches. These papers can be divided into two groups: papers that propose new developments in entropy-based measures or improve the understanding of existing ones (9 papers) and papers that propose new applications of existing entropy-based measures (14 papers). Moreover, one paper presents a review of cross-entropy methods and their multiscale approaches.

History of engineering & technology --- electrocardiogram --- heart rate variability --- multiscale distribution entropy --- RR interval --- short-term inter-beat interval --- Alzheimer disease --- functional near infra-red spectroscopy --- signal complexity --- clock drawing test --- digit span test --- corsi block tapping test --- structural health monitoring --- multi-scale --- composite cross-sample entropy --- PD --- fault diagnosis --- variational mode decomposition --- multi-scale dispersion entropy --- HMSVM --- multiscale entropy --- embodied media --- tele-communication --- humanoid --- prefrontal cortex --- human behavior --- complexity --- page view --- sample entropy --- Wikipedia --- missing values --- physiological data --- medical information --- postural stability index --- stability states --- ensemble empirical mode decomposition --- gait --- Multiscale Permutation Entropy --- ordinal patterns --- estimator variance --- Cramér–Rao Lower Bound --- finite-length signals --- nonlinear dynamics --- multiscale indices --- cardiac risk stratification --- Holter --- long term monitoring --- multifractal spectrum --- multiscale time irreversibility --- predictability --- multiscale analysis --- entropy rate --- memory effect --- financial time series --- entropy --- cardiac autonomic neuropathy --- diabetes --- mental workload --- motif --- multi-scale entropy --- permutation entropy --- HRV --- SVM --- multivariate multiscale dispersion entropy --- multivariate time series --- electroencephalogram --- magnetoencephalogram --- CPD --- EEG --- sleep staging --- tensor decomposition --- preterm neonate --- bearing fault diagnosis --- weak fault --- multi-component signal --- local robust principal component analysis --- multi-scale permutation entropy --- brain complexity --- dynamic functional connectivity --- edge complexity --- fluid intelligence --- node complexity --- resting-state functional magnetic resonance imaging --- aging --- consolidation --- default mode network --- episodic memory --- fMRI --- network complexity --- resting state --- copula density --- dependency structures --- Voronoi decomposition --- ambient temperature --- telemetry --- systolic blood pressure --- pulse interval --- thermoregulation --- vasopressin --- center of pressure --- falls --- postural control --- cross-entropy --- multiscale cross-entropy --- asynchrony --- coupling --- cross-sample entropy --- cross-approximate entropy --- cross-distribution entropy --- cross-fuzzy entropy --- cross-conditional entropy --- eye movement events detection --- nonlinear analysis time series analysis --- approximate entropy --- fuzzy entropy --- multilevel entropy map --- time-scale decomposition --- heart sound --- ICEEMDAN --- RCMDE --- Fisher ratio --- biometric characterization --- multi-scale entropy (MSE) --- vector autoregressive fractionally integrated (VARFI) models --- heart rate variability (HRV) --- systolic arterial pressure (SAP) --- multivariate data

Choose an application

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

Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. Multivariate approaches have also been developed. The algorithms for an MSE approach are composed of two main steps: (i) a coarse-graining procedure to represent the system’s dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associated with the coarse-graining approach, each one having its advantages and drawbacks. In this Special Issue, we gathered 24 papers focusing on either the theory or applications of MSE approaches. These papers can be divided into two groups: papers that propose new developments in entropy-based measures or improve the understanding of existing ones (9 papers) and papers that propose new applications of existing entropy-based measures (14 papers). Moreover, one paper presents a review of cross-entropy methods and their multiscale approaches.

electrocardiogram --- heart rate variability --- multiscale distribution entropy --- RR interval --- short-term inter-beat interval --- Alzheimer disease --- functional near infra-red spectroscopy --- signal complexity --- clock drawing test --- digit span test --- corsi block tapping test --- structural health monitoring --- multi-scale --- composite cross-sample entropy --- PD --- fault diagnosis --- variational mode decomposition --- multi-scale dispersion entropy --- HMSVM --- multiscale entropy --- embodied media --- tele-communication --- humanoid --- prefrontal cortex --- human behavior --- complexity --- page view --- sample entropy --- Wikipedia --- missing values --- physiological data --- medical information --- postural stability index --- stability states --- ensemble empirical mode decomposition --- gait --- Multiscale Permutation Entropy --- ordinal patterns --- estimator variance --- Cramér–Rao Lower Bound --- finite-length signals --- nonlinear dynamics --- multiscale indices --- cardiac risk stratification --- Holter --- long term monitoring --- multifractal spectrum --- multiscale time irreversibility --- predictability --- multiscale analysis --- entropy rate --- memory effect --- financial time series --- entropy --- cardiac autonomic neuropathy --- diabetes --- mental workload --- motif --- multi-scale entropy --- permutation entropy --- HRV --- SVM --- multivariate multiscale dispersion entropy --- multivariate time series --- electroencephalogram --- magnetoencephalogram --- CPD --- EEG --- sleep staging --- tensor decomposition --- preterm neonate --- bearing fault diagnosis --- weak fault --- multi-component signal --- local robust principal component analysis --- multi-scale permutation entropy --- brain complexity --- dynamic functional connectivity --- edge complexity --- fluid intelligence --- node complexity --- resting-state functional magnetic resonance imaging --- aging --- consolidation --- default mode network --- episodic memory --- fMRI --- network complexity --- resting state --- copula density --- dependency structures --- Voronoi decomposition --- ambient temperature --- telemetry --- systolic blood pressure --- pulse interval --- thermoregulation --- vasopressin --- center of pressure --- falls --- postural control --- cross-entropy --- multiscale cross-entropy --- asynchrony --- coupling --- cross-sample entropy --- cross-approximate entropy --- cross-distribution entropy --- cross-fuzzy entropy --- cross-conditional entropy --- eye movement events detection --- nonlinear analysis time series analysis --- approximate entropy --- fuzzy entropy --- multilevel entropy map --- time-scale decomposition --- heart sound --- ICEEMDAN --- RCMDE --- Fisher ratio --- biometric characterization --- multi-scale entropy (MSE) --- vector autoregressive fractionally integrated (VARFI) models --- heart rate variability (HRV) --- systolic arterial pressure (SAP) --- multivariate data