Entropy is a concept that emerged in the 19th century. It used to be associated with heat harnessed by a thermal machine to perform work during the Industrial Revolution. However, there was an unprecedented scientific revolution in the 20th century due to one of its most essential innovations, i.e., the information theory, which also encompasses the concept of entropy. Therefore, the following question is naturally raised: "what is the difference, if any, between concepts of entropy in each field of knowledge?" There are misconceptions, as there have been multiple attempts to conciliate the entropy of thermodynamics with that of information theory. Entropy is most commonly defined as "disorder", although it is not a good analogy since "order" is a subjective human concept, and "disorder" cannot always be obtained from entropy. Therefore, this paper presents a historical background on the evolution of the term "entropy", and provides mathematical evidence and logical arguments regarding its interconnection in various scientific areas, with the objective of providing a theoretical review and reference material for a broad audience.
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http://dx.doi.org/10.3390/e23101340 | DOI Listing |
J Membr Biol
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Crystallography and Molecular Biology Division, Saha Institute of Nuclear Physics, Kolkata, India.
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January 2025
Physics Department, Whitman College, Walla Walla, WA, 99362, USA.
In a complex dynamical system, noise, feedback, and external forces shape behavior that can range from regularity to high-dimensional chaos. Multiple feedback sources can significantly alter its dynamics, potentially even suppressing the system's output. This study investigates the impact of competing feedback sources on a stochastic complex dynamical system using a photonic neuron-a diode laser with external optical feedback.
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January 2025
College of Geography and Planning, Chengdu University of Technology, Chengdu, 610059, China.
The natural suitability of human settlements is greatly influenced by the distinct ecological environment and natural conditions of the plateau area, which are of great eco-environmental significance. 32 counties in China's Western Sichuan Plateau were chosen as the study's research subjects. The evaluation index system and weight of the natural suitability of human settlements were established, along with the obstacle degree model, using the analytical hierarchy process, the entropy method, and the integrated weight method.
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January 2025
Civil and Transportation College, Beihua University, Jilin, China.
An improved concrete structure health monitoring method based on G-S-G is proposed, which fully combines an optimized Gray-Level Co-occurrence Matrix (GLCM) with an improved Self-Organizing Map (SOM) neural network to achieve accurate and real-time concrete structure health monitoring. First of all, in order to obtain a dynamic image of the crack damage region of interest (ROI) with clear contrast and obvious target, the image acquisition system and image optimization method are used to process the damaged image. Moreover, in order to realize the accurate location of crack damage, crack damage identification research based on GLCM-SOM effectively eliminates the interference of honeycomb and pothole damage on crack damage.
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