Utilization of m-Phenylenediamine-Furfural Resin for Removal of Cu(II) from Aqueous Solution-A Thermodynamic Study by Tariq S. Najim, Israa G. Zainal, Dina A. Ali

“…On the other hand, the values of activation energy (Ea) were inconsistent with the values of ∆H° both are positive and lie in the range of physisorption. The entropy ∆S° of the process was positive indicative of the randomness of the Cu(II) ions at the solid / liquid interface. …”
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Two-dimensional pseudo-random coupled map lattices system based on partitioned elementary cellular automata and its dynamic properties by Youheng DONG, Geng ZHAO, Yingjie MA

“…To solve the weak chaos in the spatiotemporal chaotic system based on coupled map lattices under some control parameters and the un-uniformity of sequences generated by the coupled map lattices, a two-dimensional pseudo-random coupled map lattices (2D-PRCML) system was proposed.Firstly, the two-dimensional partitioned elementary cellular automata (2D-PECA) was designed to establish pseudo-random coupling.Secondly, iterative results of 2D-PECA were utilized to perturb the 2D-PRCML system.The chaotic behaviors of the proposed system, such as the bifurcation diagram, Kolmogorov-Sinai entropy, were investigated.Moreover, the uniformity of sequences generated by the 2D-PRCML system was discussed, and the correlation coefficients between any two sequences generated by different lattices were acquired.The analyses and tests indicate that the 2D-PRCML system exhibits stronger chaotic behavior.Furthermore, the sequence generated by the proposed system possesses better uniformity, randomness, and unpredictability.The outstanding properties of the 2D-PRCML system prove that it is more suitable for applying in cryptography and chaotic secure communication.…”
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Measuring and utilizing temporal network dissimilarity by Xiu-Xiu Zhan, Chuang Liu, Zhipeng Wang, Huijuan Wang, Petter Holme, Zi-Ke Zhang

“…This work proposes a temporal dissimilarity measure for temporal network comparison based on the first arrival distance distribution and spectral entropy based Jensen-Shannon divergence. Experimental results on both synthetic and empirical temporal networks show that the proposed measure could discriminate diverse temporal networks with different structures by capturing various topological and temporal properties. …”
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Rolling Bearing Fault Diagnosis Method Based on MCMF and SAIMFE by Dejun Meng, Changyun. Miao, Xianguo Li, Jia Shi, Yi Liu, Jie Li

“…In order to improve diagnosis accuracy of bearing fault, a rolling bearing fault diagnosis method based on multiscale combined morphological filter (MCMF) and self-adaption improved multiscale fuzzy entropy (SAIMFE) is proposed in this paper. First, the MCMF is designed to eliminate noise and preserve fault information more effectively. …”
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The diversity of local political agendas during COVID-19: A comparison of Mexican states by Enrique García-Tejeda, Juan Guillermo Vieira-Silva

“…A quantitative methodology based on the estimation of Shannon’s entropy index and non-parametric tests is used. Contrary to expectations, we find that the scope and diversity of the responses are not significantly related to the factors proposed in the literature. …”
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First Principle Study of Structural, Electronic, Optical, and Thermodynamic Properties of Scandium-Doped Zirconia Zr1−xScxO2,x=0.125 by Lemessa Asefa Eressa, Zeleke Deressa Gerbi

“…The result of thermodynamic properties calculations show that doping scandium in zirconia enhances its entropy and specific heat capacity thereby allowing it to be thermodynamically stable for a wide range of electronic applications.…”
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Phosphate Adsorption onto Chitosan-Based Hydrogel Microspheres by Jean-Francois Leduc, Roland Leduc, Hubert Cabana

“…The values of ΔG and ΔH demonstrated the spontaneous and exothermic nature of the reaction and the negative value of ΔS indicates a decrease in entropy.…”
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A novel lossless encoding algorithm for data compression–genomics data as an exemplar by Anas Al-okaily, Abdelghani Tbakhi

“…This approach is different than the currently known approaches: entropy, dictionary, predictive, or transform-based methods. …”
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An Enhanced -Means Clustering Algorithm for Pattern Discovery in Healthcare Data by Ramzi A. Haraty, Mohamad Dimishkieh, Mehedi Masud

“…Our experimental results, which were used in an increasing manner on the same dataset, show that G -means outperforms k -means in terms of entropy and F -scores. The experiments also yield better results for G -means in terms of the coefficient of variance and the execution time.…”
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Feature Frequency Extraction Algorithm based on PCA and MK-MOMEDA and Its Application by Jiawei Zheng, Qihong Liu, Weiguang Li, Xuezhi Zhao, Guochen Li

“…Aiming at the problem of extracting characteristic frequency of flexible thin-walled bearings，a feature frequency extraction algorithm combining principal component analysis （PCA） and multi-point optimally adjusted minimum entropy deconvolution （MOMEDA） is proposed. In the algorithm，PCA is used to perform noise reduction processing on the original signal to obtain a reconstructed signal. …”
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River health assessment based on set pair analysis model in typical Northern Chinese City by Jiuhe Bu, Tao Wang, Tian Xu

“…The key environmental factors influencing these communities included pH, dissolved oxygen, ammonium nitrogen, total phosphorus, and altitude. Using an entropy-weighted set pair analysis model, spatial variations in river ecosystem health were evaluated. …”
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An Analysis of Transverse Momentum Spectra of Various Jets Produced in High Energy Collisions by Yang-Ming Tai, Pei-Pin Yang, Fu-Hu Liu

“…The related parameters such as the entropy index-related, effective temperature, and revised index are then obtained. …”
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Analysis and Control of Fractional Order Generalized Lorenz Chaotic System by Using Finite Time Synchronization by Yan Cui, Hongjun He, Guan Sun, Chenhui Lu

“…The complexity of fractional order chaotic system is given by spectral entropy algorithm and C0 algorithm. We concluded that the fractional order chaotic system has a higher complexity. …”
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Forecasting long-time dynamics in quantum many-body systems by dynamic mode decomposition by Ryui Kaneko, Masatoshi Imada, Yoshiyuki Kabashima, Tomi Ohtsuki

“…Despite the simplicity of the method, the effectiveness and applicability of the DMD in quantum many-body systems such as the Ising model in the transverse field at the critical point are demonstrated, even when the time evolution at long time exhibits complicated features such as a volume-law entanglement entropy and consequential power-law decays of correlations characteristic of systems with long-ranged quantum entanglements unlike fluid dynamics. …”
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Shuffled differential privacy protection method for K-Modes clustering data collection and publication by Weijin JIANG, Yilin CHEN, Yuqing HAN, Yuting WU, Wei ZHOU, Haijuan WANG

“…Aiming at the current problem of insufficient security in clustering data collection and publication, in order to protect user privacy and improve data quality in clustering data, a privacy protection method for K-Modes clustering data collection and publication was proposed without trusted third parties based on the shuffled differential privacy model.K-Modes clustering data collection algorithm was used to sample the user data and add noise, and then the initial order of the sampled data was disturbed by filling in the value domain random arrangement publishing algorithm.The malicious attacker couldn’t identify the target user according to the relationship between the user and the data, and then to reduce the interference of noise as much as possible a new centroid was calculated by cyclic iteration to complete the clustering.Finally, the privacy, feasibility and complexity of the above three methods were analyzed from the theoretical level, and the accuracy and entropy of the three real data sets were compared with the authoritative similar algorithms KM, DPLM and LDPKM in recent years to verify the effectiveness of the proposed model.The experimental results show that the privacy protection and data quality of the proposed method are superior to the current similar algorithms.…”
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Optimization of Process Parameters in Electrochemical Micromachining of AMCs by Using Different Techniques of Weight Evaluation by S. Maniraj, R. Thanigaivelan, K. Gunasekaran, K. G. Saravanan

“…., multi-criteria optimization and compromise solution) technique is used for finding the best alternatives based on the distinct weight assessing methods such as equal weights method (EWM), analytic hierarchy process (AHP), and entropy-based weights method (EBWM). Furthermore, a confirmation test is also conducted to find the best optimal parameters and their levels among the EWM-VIKOR, AHP-VIKOR, and EBWM-VIKOR. …”
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Hawking Radiation-Quasinormal Modes Correspondence for Large AdS Black Holes by Dao-Quan Sun, Zi-Liang Wang, Miao He, Xian-Ru Hu, Jian-Bo Deng

“…Then we get the formulas of the Bekenstein-Hawking entropy and the horizon’s area quantization with functions of the quantum “overtone” number n.…”
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Online Intelligent Identification of Modal Parameters for Large Cable-Stayed Bridges by Peng Wen, Inamullah Khan, He Jie, Chen Qiaofeng, Yang Shiyu

“…At the same time, the first derivative of the singular entropy increment is used to automatically determine the order of the system, and then the spectral clustering algorithm is combined with the stochastic subspace algorithm to ultimately reach the goal of automatic identification of modal parameters.…”
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Presenting a Model for Robot evaluation and Ranking by Grey MuLTIMOORA by Ahmadreza Ghasemi, Meysam Shahbazi, Hamidreza Aghashahi

“…Next criteria weights were calculated by Grey Entropy method. Sellers training, quality of services, are the main important criteria’s and v.s precision and degree of freedom are least important criteria. …”
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Application of Mill Chatter Component Extraction and Root Cause Diagnosis in the Industrial Cold Rolling Mill by Xing Lu, Jie Sun, Qiyou Cheng, Dianhua Zhang

“…To meet the early warning of the third-octave mode chatter in the production line, a new adaptive cuckoo search algorithm variational mode decomposition (CSA-VMD) and transfer entropy–based root cause diagnosis models are proposed. …”
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