Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, ISSN 0960-0779, 10/2016, Volume 91, pp. 549 - 553

Dempster Shafer evidence theory has been widely used in many applications due to its advantages to handle uncertainty. However, how to measure uncertainty in...

Shannon entropy | Uncertainty measure | Deng entropy | Entropy | Dempster-Shafer evidence theory | SPECIFICITY | PHYSICS, MULTIDISCIPLINARY | DEMPSTER-SHAFER THEORY | PHYSICS, MATHEMATICAL | D NUMBERS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SETS | UNCERTAINTY

Shannon entropy | Uncertainty measure | Deng entropy | Entropy | Dempster-Shafer evidence theory | SPECIFICITY | PHYSICS, MULTIDISCIPLINARY | DEMPSTER-SHAFER THEORY | PHYSICS, MATHEMATICAL | D NUMBERS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SETS | UNCERTAINTY

Journal Article

2019, ISBN 9783038972228

Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial...

hydrological risk analysis | modeling | water level | Poyang Lake basin | trend | composite multiscale sample entropy | flood frequency analysis | canopy flow | precipitation | water resources | complex systems | frequency analysis | optimization | combined forecast | neural network forecast | entropy spectral analysis time series analysis | environmental engineering | hydrometric network | sea surface temperature | kernel density estimation | robustness | turbulent flow | entropy production | connection entropy | flux concentration relation | turbulence | tropical rainfall | generalized gamma (GG) distribution | multi-events | El Niño | joint entropy | entropy weighting method | Anhui Province | changing environment | complexity | multiplicative cascades | Tsallis entropy | Hexi corridor | coherent structures | water resources vulnerability | uncertainty | variability | flow entropy | Hei River basin | fuzzy analytic hierarchy process | substitute | crop yield | conditional entropy production | entropy | flow duration curve | mean annual runoff | temperature | hydrometeorological extremes | resilience | Loess Plateau | information entropy | scaling | water distribution networks | cross entropy | randomness | forewarning model | entropy applications | quaternary catchment | spatio-temporal variability | probability distribution function | ant colony fuzzy clustering | radar | continuous probability distribution functions | Shannon entropy | informational entropy | information | confidence intervals | marginal entropy | rainfall forecast | entropy of information | streamflow | power laws | bootstrap aggregating | maximum entropy-copula method | spatial and dynamics characteristic | projection pursuit | set pair analysis | entropy theory | water resource carrying capacity | entropy parameter | precipitation frequency analysis | principle of maximum entropy | information theory | stochastic processes | network design | complement | cross elasticity | climacogram | methods of moments | hydrology | bagging | principle of maximum entropy (POME) | rainfall network | entropy ensemble filter | ensemble model simulation criterion | Lagrangian function | Beta-Lognormal model | cross-entropy minimization | ANN | configurational entropy | variation of information | statistical scaling | EEF method | water monitoring | maximum likelihood estimation | GB2 distribution | NDVI | four-parameter exponential gamma distribution | hydraulics | spatial optimization | Kolmogorov complexity | bootstrap neural networks | mutual information | accelerating genetic algorithm | groundwater depth | rainfall | tropical Pacific | water engineering | monthly streamflow forecasting | ENSO | nonlinear relation | Bayesian technique | non-point source pollution | Burg entropy | data-scarce | scaling laws | soil water content | arid region | land suitability evaluation | information transfer

hydrological risk analysis | modeling | water level | Poyang Lake basin | trend | composite multiscale sample entropy | flood frequency analysis | canopy flow | precipitation | water resources | complex systems | frequency analysis | optimization | combined forecast | neural network forecast | entropy spectral analysis time series analysis | environmental engineering | hydrometric network | sea surface temperature | kernel density estimation | robustness | turbulent flow | entropy production | connection entropy | flux concentration relation | turbulence | tropical rainfall | generalized gamma (GG) distribution | multi-events | El Niño | joint entropy | entropy weighting method | Anhui Province | changing environment | complexity | multiplicative cascades | Tsallis entropy | Hexi corridor | coherent structures | water resources vulnerability | uncertainty | variability | flow entropy | Hei River basin | fuzzy analytic hierarchy process | substitute | crop yield | conditional entropy production | entropy | flow duration curve | mean annual runoff | temperature | hydrometeorological extremes | resilience | Loess Plateau | information entropy | scaling | water distribution networks | cross entropy | randomness | forewarning model | entropy applications | quaternary catchment | spatio-temporal variability | probability distribution function | ant colony fuzzy clustering | radar | continuous probability distribution functions | Shannon entropy | informational entropy | information | confidence intervals | marginal entropy | rainfall forecast | entropy of information | streamflow | power laws | bootstrap aggregating | maximum entropy-copula method | spatial and dynamics characteristic | projection pursuit | set pair analysis | entropy theory | water resource carrying capacity | entropy parameter | precipitation frequency analysis | principle of maximum entropy | information theory | stochastic processes | network design | complement | cross elasticity | climacogram | methods of moments | hydrology | bagging | principle of maximum entropy (POME) | rainfall network | entropy ensemble filter | ensemble model simulation criterion | Lagrangian function | Beta-Lognormal model | cross-entropy minimization | ANN | configurational entropy | variation of information | statistical scaling | EEF method | water monitoring | maximum likelihood estimation | GB2 distribution | NDVI | four-parameter exponential gamma distribution | hydraulics | spatial optimization | Kolmogorov complexity | bootstrap neural networks | mutual information | accelerating genetic algorithm | groundwater depth | rainfall | tropical Pacific | water engineering | monthly streamflow forecasting | ENSO | nonlinear relation | Bayesian technique | non-point source pollution | Burg entropy | data-scarce | scaling laws | soil water content | arid region | land suitability evaluation | information transfer

eBook

Oikos, ISSN 0030-1299, 5/2006, Volume 113, Issue 2, pp. 363 - 375

Entropies such as the Shannon-Wiener and Gini-Simpson indices are not themselves diversities. Conversion of these to effective number of species is the key to...

Species diversity | Opinion | Diversity indices | Communities | Shannon entropy | Entropy | Gini index | Mathematical functions | Biodiversity | Species | Butterflies | SPECIES-DIVERSITY | STATISTICS | EVENNESS | FRAMEWORK | MULTIPLE COMMUNITIES | ECOLOGY | SIMILARITY | Environmental aspects | Usage | Entropy (Physics) | Biological diversity | Indexes | Mathematical analysis | Measurement techniques

Species diversity | Opinion | Diversity indices | Communities | Shannon entropy | Entropy | Gini index | Mathematical functions | Biodiversity | Species | Butterflies | SPECIES-DIVERSITY | STATISTICS | EVENNESS | FRAMEWORK | MULTIPLE COMMUNITIES | ECOLOGY | SIMILARITY | Environmental aspects | Usage | Entropy (Physics) | Biological diversity | Indexes | Mathematical analysis | Measurement techniques

Journal Article

1990, ISBN 0387973710, xxiii, 332

Book

Entropy, ISSN 1099-4300, 03/2016, Volume 18, Issue 3, pp. 84 - 84

The entropies of Shannon, Renyi and Kolmogorov are analyzed and compared together with their main properties. The entropy of some particular antennas with a...

Iterated function system | Box-counting dimension | Fractal dimension | Rényi entropy | Generalized fractal dimension | Shannon entropy | Fractal antenna | Kolmogorov entropy | fractal antenna | iterated function system | PHYSICS, MULTIDISCIPLINARY | BEHAVIOR | COMPLEXITY | fractal dimension | generalized fractal dimension | box-counting dimension | Renyi entropy | SIERPINSKI | Fractals | Entropy | Entropy (Information) | Fractal analysis | Antennas | Matematisk analys | Computational Mathematics | Mathematics | Mathematical Analysis | Naturvetenskap | Natural Sciences | Beräkningsmatematik | Mathematics/Applied Mathematics | Matematik | matematik/tillämpad matematik

Iterated function system | Box-counting dimension | Fractal dimension | Rényi entropy | Generalized fractal dimension | Shannon entropy | Fractal antenna | Kolmogorov entropy | fractal antenna | iterated function system | PHYSICS, MULTIDISCIPLINARY | BEHAVIOR | COMPLEXITY | fractal dimension | generalized fractal dimension | box-counting dimension | Renyi entropy | SIERPINSKI | Fractals | Entropy | Entropy (Information) | Fractal analysis | Antennas | Matematisk analys | Computational Mathematics | Mathematics | Mathematical Analysis | Naturvetenskap | Natural Sciences | Beräkningsmatematik | Mathematics/Applied Mathematics | Matematik | matematik/tillämpad matematik

Journal Article

2011, New Mathematical Monographs, ISBN 0521888859, Volume 18, xii, 391

"This comprehensive text on entropy covers three major types of dynamics: measure preserving transformations; continuous maps on compact spaces; and operators...

Topological entropy | Topological dynamics | Textbooks

Topological entropy | Topological dynamics | Textbooks

Book

Applied Mathematics and Computation, ISSN 0096-3003, 09/2014, Volume 242, pp. 462 - 472

Many graph invariants have been used for the construction of entropy-based measures to characterize the structure of complex networks. When considering Shannon...

Extremal values | Dendrimers | Shannon’s entropy | Information theory | Graph entropy | Shannon's entropy | MATHEMATICS, APPLIED | INFORMATION-CONTENT | COMPLEX NETWORKS | FUNCTIONALS | GRAPH ENTROPIES

Extremal values | Dendrimers | Shannon’s entropy | Information theory | Graph entropy | Shannon's entropy | MATHEMATICS, APPLIED | INFORMATION-CONTENT | COMPLEX NETWORKS | FUNCTIONALS | GRAPH ENTROPIES

Journal Article

Journal of Chemical Information and Modeling, ISSN 1549-9596, 08/2015, Volume 55, Issue 8, pp. 1576 - 1584

The reasons for the formation of the highly symmetric C-60 molecule under nonequilibrium conditions are widely discussed as it dominates over numerous similar...

ORGANIC-MOLECULES | CHEMISTRY, MEDICINAL | CARBON CAGES | POLARIZABILITY | REACTIVITY | COMPUTER SCIENCE, INFORMATION SYSTEMS | SELF-ORGANIZATION | CHEMISTRY, MULTIDISCIPLINARY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SHANNON ENTROPY | MOLECULAR DESCRIPTORS | NANOTUBES | C-60 | LOCAL CURVATURE | Models, Molecular | Entropy | Algorithms | Fullerenes - chemistry | Isomerism | Molecular Conformation | Fullerenes | Chemistry | Symmetry | Index Medicus

ORGANIC-MOLECULES | CHEMISTRY, MEDICINAL | CARBON CAGES | POLARIZABILITY | REACTIVITY | COMPUTER SCIENCE, INFORMATION SYSTEMS | SELF-ORGANIZATION | CHEMISTRY, MULTIDISCIPLINARY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SHANNON ENTROPY | MOLECULAR DESCRIPTORS | NANOTUBES | C-60 | LOCAL CURVATURE | Models, Molecular | Entropy | Algorithms | Fullerenes - chemistry | Isomerism | Molecular Conformation | Fullerenes | Chemistry | Symmetry | Index Medicus

Journal Article

IEEE Transactions on Information Theory, ISSN 0018-9448, 11/2016, Volume 62, Issue 11, pp. 6007 - 6018

The entropy region is constructed from vectors of random variables by collecting Shannon entropies of all subvectors. Its shape is studied here by means of...

Ingleton score | Visualization | Shape | non-Shannon inequality | selfadhesivity | Ingleton inequality | Entropy | four-atom conjecture | Channel coding | Entropy region | entropy function | Convolution | information-theoretic inequality | Zhang-Yeung inequality | polymatroid | Network coding | Random variables | matroid | convolution | INFORMATION INEQUALITIES | COMPUTER SCIENCE, INFORMATION SYSTEMS | RANDOM-VARIABLES | ENGINEERING, ELECTRICAL & ELECTRONIC | Error-correcting codes | Matrices | Research | Entropy (Information theory) | Experiments | Approximations | Information theory | Symmetry | Approximation | Entropy (Information) | Decomposition | Closures

Ingleton score | Visualization | Shape | non-Shannon inequality | selfadhesivity | Ingleton inequality | Entropy | four-atom conjecture | Channel coding | Entropy region | entropy function | Convolution | information-theoretic inequality | Zhang-Yeung inequality | polymatroid | Network coding | Random variables | matroid | convolution | INFORMATION INEQUALITIES | COMPUTER SCIENCE, INFORMATION SYSTEMS | RANDOM-VARIABLES | ENGINEERING, ELECTRICAL & ELECTRONIC | Error-correcting codes | Matrices | Research | Entropy (Information theory) | Experiments | Approximations | Information theory | Symmetry | Approximation | Entropy (Information) | Decomposition | Closures

Journal Article

1992, ISBN 0123976707, xix, 408

Book

Information Sciences, ISSN 0020-0255, 2009, Volume 179, Issue 14, pp. 2426 - 2433

In this paper, we define the conditional Rényi entropy and show that the so-called chain rule holds for the Rényi entropy. Then, we introduce a relation for...

Shannon entropy | Shannon entropy rate | Stationary process | Rényi entropy rate | Rényi entropy | Quasi-linear mean | Renyi entropy rate | INFORMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | CONVERGENCE | SYSTEMS | DIVERGENCE | FUNCTIONALS | Renyi entropy | Markov processes | Analysis

Shannon entropy | Shannon entropy rate | Stationary process | Rényi entropy rate | Rényi entropy | Quasi-linear mean | Renyi entropy rate | INFORMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | CONVERGENCE | SYSTEMS | DIVERGENCE | FUNCTIONALS | Renyi entropy | Markov processes | Analysis

Journal Article

Entropy, ISSN 1099-4300, 03/2019, Volume 21, Issue 3

The goal of this comment note is to express our considerations about the recent paper by A. Ben Naim (Entropy 2017, 19, 48). We strongly support the...

Intensive value | Pattern | Thermodynamic entropy | Voronoi entropy | Shannon measure of information | pattern | thermodynamic entropy | intensive value | PHYSICS, MULTIDISCIPLINARY

Intensive value | Pattern | Thermodynamic entropy | Voronoi entropy | Shannon measure of information | pattern | thermodynamic entropy | intensive value | PHYSICS, MULTIDISCIPLINARY

Journal Article

Safety Science, ISSN 0925-7535, 02/2017, Volume 92, pp. 160 - 172

Process equipment failures (PEFs) are recognized as one of the leading causes of process accidents. Failure modes and effect analysis (FMEA) as a risk...

FMEA | Fuzzy set | Risk analysis | Shannon’s entropy | VIKOR | Z-number | Shannon's entropy | SAFETY EVALUATION | FUZZY AHP | PRIORITIZATION | REASONING APPROACH | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SELECTION | ENGINEERING, INDUSTRIAL | TOPSIS | Case studies | Electric power-plants | Risk assessment | Methods | Green technology | Power plants | Electric power plants | Uncertainty | Sensitivity analysis | Geothermal energy | Failure modes | Entropy | Risk factors | Fuzzy logic | Fuzzy sets | Electric power generation | Ranking | Geothermal power | Judgments | Entropy (Information theory) | Failure analysis | Failure | Geothermal power plants | Mathematical models

FMEA | Fuzzy set | Risk analysis | Shannon’s entropy | VIKOR | Z-number | Shannon's entropy | SAFETY EVALUATION | FUZZY AHP | PRIORITIZATION | REASONING APPROACH | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SELECTION | ENGINEERING, INDUSTRIAL | TOPSIS | Case studies | Electric power-plants | Risk assessment | Methods | Green technology | Power plants | Electric power plants | Uncertainty | Sensitivity analysis | Geothermal energy | Failure modes | Entropy | Risk factors | Fuzzy logic | Fuzzy sets | Electric power generation | Ranking | Geothermal power | Judgments | Entropy (Information theory) | Failure analysis | Failure | Geothermal power plants | Mathematical models

Journal Article

Wuli Huaxue Xuebao/ Acta Physico - Chimica Sinica, ISSN 1000-6818, 11/2015, Volume 31, Issue 11, pp. 2057 - 2063

Density functional theory dictates that the electron density determines everything in a molecular system's ground state, including its structure and reactivity...

Density functional reactivity theory | Shannon entropy | Rényi entropy | Tsallis entropy | Onicescu information energy | QUANTITIES | ELECTROPHILICITY | CHEMISTRY, PHYSICAL | HIRSHFELD CHARGE | AROMATIC-SUBSTITUTION REACTIONS | MOLECULES | FRAGMENTS | THERMODYNAMICS | ATOMS | NUCLEOPHILICITY | SYSTEMS | Renyi entropy

Density functional reactivity theory | Shannon entropy | Rényi entropy | Tsallis entropy | Onicescu information energy | QUANTITIES | ELECTROPHILICITY | CHEMISTRY, PHYSICAL | HIRSHFELD CHARGE | AROMATIC-SUBSTITUTION REACTIONS | MOLECULES | FRAGMENTS | THERMODYNAMICS | ATOMS | NUCLEOPHILICITY | SYSTEMS | Renyi entropy

Journal Article

Computers and Mathematics with Applications, ISSN 0898-1221, 08/2013, Volume 66, Issue 2, pp. 135 - 146

The is an important measure which describes the degree of chaoticity of systems. It gives the average rate of information loss about a position of the phase...

Fractal geometry | Fractal dimension | Rényi entropy | Shannon entropy | Thermodynamic entropy | Fractal physics | Fractal measure | Kolmogorov entropy | MATHEMATICS, APPLIED | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | DIMENSION | Renyi entropy | Chaos theory

Fractal geometry | Fractal dimension | Rényi entropy | Shannon entropy | Thermodynamic entropy | Fractal physics | Fractal measure | Kolmogorov entropy | MATHEMATICS, APPLIED | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | DIMENSION | Renyi entropy | Chaos theory

Journal Article

Entropy, ISSN 1099-4300, 03/2019, Volume 21, Issue 3, p. 251

The goal of this comment note is to express our considerations about the recent paper by A. Ben Naim (Entropy 2017, 19, 48). We strongly support the...

pattern | thermodynamic entropy | intensive value | Voronoi entropy | Shannon measure of information

pattern | thermodynamic entropy | intensive value | Voronoi entropy | Shannon measure of information

Journal Article

The Annals of Statistics, ISSN 0090-5364, 10/2008, Volume 36, Issue 5, pp. 2153 - 2182

A class of estimators of the Rényi and Tsallis entropies of an unknown distribution f in ${\Bbb R}^{m}$ is presented. These estimators are based on the kth...

Density estimation | Gaussian distributions | Shannon entropy | Entropy | Sampling distributions | Statistics | Estimators | Consistent estimators | Estimation methods | Estimation of divergence | Rényi entropy | Tsallis entropy | Entropy estimation | Estimation of statistical distance | Havrda-Charvát entropy | Nearest-neighbor distances | nearest-neighbor distances | estimation of divergence | STATISTICS | STATISTICS & PROBABILITY | NEAREST NEIGHBOR DISTANCES | GRAPHS | DISTRIBUTIONS | estimation of statistical distance | CONSISTENCY | LIMIT-THEOREMS | ENTROPY ESTIMATORS | ASYMPTOTICS | SAMPLE ENTROPY | Havrda-Charvat entropy | FUNCTIONALS | Renyi entropy | Studies | Statistical analysis | Normal distribution | Estimates | Statistics Theory | Mathematics | 94A15 | Havrda–Charvát entropy | 62G20

Density estimation | Gaussian distributions | Shannon entropy | Entropy | Sampling distributions | Statistics | Estimators | Consistent estimators | Estimation methods | Estimation of divergence | Rényi entropy | Tsallis entropy | Entropy estimation | Estimation of statistical distance | Havrda-Charvát entropy | Nearest-neighbor distances | nearest-neighbor distances | estimation of divergence | STATISTICS | STATISTICS & PROBABILITY | NEAREST NEIGHBOR DISTANCES | GRAPHS | DISTRIBUTIONS | estimation of statistical distance | CONSISTENCY | LIMIT-THEOREMS | ENTROPY ESTIMATORS | ASYMPTOTICS | SAMPLE ENTROPY | Havrda-Charvat entropy | FUNCTIONALS | Renyi entropy | Studies | Statistical analysis | Normal distribution | Estimates | Statistics Theory | Mathematics | 94A15 | Havrda–Charvát entropy | 62G20

Journal Article

Thermal Science, ISSN 0354-9836, 2018, Volume 22, Issue 2, pp. 1163 - 1178

The entropy concept was introduced in the mid-nineteenth century by Clausius and has been continually enriched, developed, and interpreted by researchers in...

Total entropy | Non-equilibrium thermodynamics | Residual entropy | Shannon entropy | Thermal entropy | Life sciences | Negentropy | Equilibrium thermodynamics | Statistical mechanics | MISUSE | ENERGY | non-equilibrium thermodynamics | thermal entropy | INFORMATION | negentropy | HEAT | EVOLUTION | THERMODYNAMICS | total entropy | CRYSTALS | equilibrium thermodynamics | life sciences | OPEN THERMODYNAMIC SYSTEMS | residual entropy | 3RD LAW | statistical mechanics | LIFE

Total entropy | Non-equilibrium thermodynamics | Residual entropy | Shannon entropy | Thermal entropy | Life sciences | Negentropy | Equilibrium thermodynamics | Statistical mechanics | MISUSE | ENERGY | non-equilibrium thermodynamics | thermal entropy | INFORMATION | negentropy | HEAT | EVOLUTION | THERMODYNAMICS | total entropy | CRYSTALS | equilibrium thermodynamics | life sciences | OPEN THERMODYNAMIC SYSTEMS | residual entropy | 3RD LAW | statistical mechanics | LIFE

Journal Article

ENTROPY, ISSN 1099-4300, 05/2019, Volume 21, Issue 5, p. 502

Image analysis is playing a very essential role in numerous research areas in the fields of science and technology, ranging from medical imaging to the...

image processing | image entropy | security | generalized entropies | PHYSICS, MULTIDISCIPLINARY | image segmentation | Shannon entropy | remote sensing | medical imaging

image processing | image entropy | security | generalized entropies | PHYSICS, MULTIDISCIPLINARY | image segmentation | Shannon entropy | remote sensing | medical imaging

Journal Article

Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 10/2017, Volume 114, Issue 42, pp. 11097 - 11102

Stochastic thermodynamics extends classical thermodynamics to small systems in contact with one or more heat baths. It can account for the effects of thermal...

Shannon entropy | Feedback trap | Second law | Stochastic thermodynamics | Information theory | INFORMATION | MULTIDISCIPLINARY SCIENCES | ENERGETICS | PRINCIPLE | stochastic thermodynamics | THERMODYNAMICS | FREE-ENERGY DIFFERENCES | HEAT-GENERATION | FLUCTUATION THEOREM | second law | feedback trap | information theory | BOLTZMANN ENTROPY | ERASURE | VERIFICATION | Entropy (Information theory) | Entropy (Physics) | Research | Thermodynamics | Heat | Entropy | Effects | Stochasticity | Equilibrium | Thermodynamic equilibrium | Baths | Probability | Condensed Matter | Mathematics | Statistical Mechanics | Mathematical Physics | Physics | Physical Sciences

Shannon entropy | Feedback trap | Second law | Stochastic thermodynamics | Information theory | INFORMATION | MULTIDISCIPLINARY SCIENCES | ENERGETICS | PRINCIPLE | stochastic thermodynamics | THERMODYNAMICS | FREE-ENERGY DIFFERENCES | HEAT-GENERATION | FLUCTUATION THEOREM | second law | feedback trap | information theory | BOLTZMANN ENTROPY | ERASURE | VERIFICATION | Entropy (Information theory) | Entropy (Physics) | Research | Thermodynamics | Heat | Entropy | Effects | Stochasticity | Equilibrium | Thermodynamic equilibrium | Baths | Probability | Condensed Matter | Mathematics | Statistical Mechanics | Mathematical Physics | Physics | Physical Sciences

Journal Article