Ising Model of User Behavior Decision in Network Rumor Propagation by Chengcheng Li, Fengming Liu, Pu Li

“…The results show that, in the rumor propagation system, von Neumann entropy can quantify well the phase transition of the system and is consistent with the phase transition information obtained by measuring the spontaneous magnetization and magnetic susceptibility of the system. …”
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AIRank: Author Impact Ranking through Positions in Collaboration Networks by Jun Zhang, Yan Hu, Zhaolong Ning, Amr Tolba, Elsayed Elashkar, Feng Xia

“…Our method not only considers the impact of scholars through the mutual reinforcement process in heterogeneous academic networks, but also integrates the structural holes theory and information entropy theory to depict the benefit that scholars obtain via their positions in the network. …”
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Quantitative Identification of the Water Resistance Capacity of Composite Strata in Mining Coal Seam Floors by Xinyi Wang, Fang Li, Qi Wang, Bo Chen, Yu Zou, Bo Zhang

“…The comprehensive weight of each index factor was determined by using the entropy weight theory. The water resistance of the J16-17 coal seam floor composite rock in the study area was quantitatively evaluated using the fuzzy variable set mathematical model and was divided into five grades: extremely weak, weak, medium, strong, and very strong. …”
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Heat Capacity and Thermodynamic Property of Cesium Tetraborate Pentahydrate by Kangrui Sun, Kaiyu Zhao, Long Li, Yafei Guo, Tianlong Deng

“…The molar heat capacity of cesium tetraborate pentahydrate is fitted as Cp,m (J·mol−1·K−1) = 593.85705 + 48.0694[T − (Tmax + Tmin)/2]/(Tmax − Tmin)/2] + 24.86395[(T − (Tmax + Tmin)/2)/(Tmax − Tmin)/2]2 + 0.53077[(T − (Tmax + Tmin)/2)/(Tmax − Tmin)/2]3, and the relevant thermodynamic functions of enthalpy, entropy, and Gibbs free energy of cesium tetraborate pentahydrate are also obtained at intervals of 2 K from 303 to 349 K.…”
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Analysis of regional differences, spatial-temporal characteristics, and influencing factors of the coupling and coordination development of science and technology innovation betwee... by Xiao Liu, Qingjin Wang, Hao Gao, Qian Cui, Qian Cui

“…The study then applied the entropy TOPSIS method to calculate the STI scores and further analyzed them using a coupling coordination model. …”
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Population aging, technological innovation and industrial differentiation by Chunhua Li, Chunhua Li, Zhangqing Chen, Wangchun Wu, Bin Gao, Lingfeng Zou

“…Based on the panel data of 31 provinces in China from 2006 to 2022, this paper constructs the entropy index to measure the overall industrial differentiation and tertiary industrial differentiation in China, and subsequently investigates the relationship among the three using the two-way fixed effect model. …”
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Thermodynamics of Biosorption for Removal of Co(II) Ions by an Efficient and Ecofriendly Biosorbent (Saccharum bengalense): Kinetics and Isotherm Modeling by Muhammad Imran Din, Muhammad Latif Mirza, Sadia Ata, Makshoof Athar, Ijaz Ul Mohsin

“…Activation parameters evaluated from thermodynamics and kinetic parameters such as free energy change ,  kJ/mol), enthalpy change ,  kJ/mol), and entropy change ,  kJ/mol) revealed the spontaneous, endothermic, and feasible nature of adsorption process. …”
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Geological Structural Surface Evaluation Model Based on Unascertained Measure by Kang Zhao, Qing Wang, Yajing Yan, Junqiang Wang, Kui Zhao, Shuai Cao, Yongjun Zhang

“…Second, the information entropy is used to determine the weight of each indicator. …”
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Prediction of Individual Social-Demographic Role Based on Travel Behavior Variability Using Long-Term GPS Data by Lei Zhu, Jeffrey Gonder, Lei Lin

“…The travel behavior pattern is then delineated by home-based tour features, such as departure time, destination location entropy, travel time, and driving time ratio. The travel behavior variability describes the variances of travelers’ activity behavior features for an extended period. …”
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Identification of Main Driving Factors of Water Resources Carrying Capacity in Taiyuan City by DING Xiangyi, SHI Xiaolin, WANG Xiangqian, MEI Chao

“…Utilizing the existing evaluation results of the water resources carrying capacity of Taiyuan City,this paper qualitatively analyzed its driving factors of the city,which was based on the analysis of the critical overload/overloading causes of various dimensions including quantity,quality,domain and flow and the consideration of the current situation of water resources in Taiyuan City.The paper also quantitatively identified the driving factors influencing the water resources carrying capacity of Taiyuan City with a combination weighting method of principal component analysis,analytic hierarchy process and entropy weight method.Further,making full use of the respective advantages of qualitative analysis and quantitative identification of driving factors,the paper took the common influencing factors as the main driving factors of the water resources carrying capacity of Taiyuan City.The results indicated that the main driving factors influencing the various dimensions of water resources carrying capacity in the city included the followings:①water quantity dimension:precipitation,per capita water resources,ratio of imported water to consumed water,groundwater extraction coefficient,coefficient of effective utilization of farmland irrigation water,water consumption per 10 000 yuan of industrial added value and wastewater utilization rate;②water quality dimension:water quality compliance rate of water function zone,proportion of water quality inferior to Grade V;③water domain dimension:soil erosion control rate;④water flow dimension:proportion of river ecological water replenishment.The research results can provide references for the plan formulation of improving water resources carrying capacity in Taiyuan City.…”
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Does Artificial Intelligence (AI) enhance green economy efficiency? The role of green finance, trade openness, and R&D investment by Qiang Wang, Tingting Sun, Rongrong Li

“…This study utilizes panel data from 11 coastal provinces and municipalities in China from 2009 to 2020, employing the entropy method and the super-efficiency EBM model to calculate the AI index and the green economic efficiency of marine fisheries. …”
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Approximate Solutions, Thermal Properties, and Superstatistics Solutions to Schrödinger Equation by Ituen Okon, Clement Onate, Ekwevugbe Omugbe, Uduakobong Okorie, Akaninyene Antia, Michael Onyeaju, Chen Wen-Li, Judith Araujo

“…The resulting energy eigenvalue is presented in a close form and extended to study thermal properties and superstatistics expressed in terms of partition function Z and other thermodynamic properties such as vibrational mean energy U, vibrational specific heat capacity C, vibrational entropy S, and vibrational free energy F. Using the resulting energy equation and with the help of Matlab software, the numerical bound state solutions were obtained for various values of the screening parameter (α) as well as different expectation values via Hellmann-Feynman Theorem (HFT). …”
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3D Face Modeling Algorithm for Film and Television Animation Based on Lightweight Convolutional Neural Network by Cheng Di, Jing Peng, Yihua Di, Siwei Wu

“…The algorithm uses the difference criterion instead of the entropy criterion to avoid the “small sample” problem, and the use of QR decomposition can extract more effective discriminative features for facial recognition, while also reducing the computational complexity of feature extraction. …”
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Heart rate dynamics for cognitive load estimation in a driving simulation task by Karina Rollandovna Arutyunova, Anastasiia Vladimirovna Bakhchina, Daniil Igorevich Konovalov, Mane Margaryan, Andrei Viktorovich Filimonov, Ivan Sergeevich Shishalov

“…The results have shown that increased CL was accompanied by higher HR, lower HRV, as measured by RMSSD, and higher HR complexity, as measured by permutation entropy. HR displayed the highest accuracy in discriminating between short windows (30 s) of different CL conditions, particularly highway versus urban driving and mental distraction during highway driving. …”
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Enhancing insights in sexually transmitted infection mapping: Syphilis in Forsyth County, North Carolina, a case study. by Lani Fox, William C Miller, Dionne Gesink, Irene Doherty, Marc Serre

“…Our methodology extends current models with: 1) donut geomasking to enhance resolution while protecting patient privacy; 2) a moving window uniform grid to control the modifiable areal unit problem, edge effect and remove kriging islands; and 3) mitigating the "small number problem" with Uniform Model Bayesian Maximum Entropy (UMBME). Data is 2008-2011 early syphilis cases reported to the NC Department of Health and Human Services for Forsyth County. …”
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A novel MADM model integrating hybrid information for evaluating the development prospects of urban new energy vehicles. by Yanlong Dong, Donghui Wang, Fanlong Zeng, Yongzheng Zhang

“…Subsequently, the improved entropy (IEntropy) weight method is employed to determine the objective weights of the evaluation indicators. …”
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Kinetics of oil palm empty fruit bunch fiber pyrolysis by Bashar Abdullahi Hadi, Abdullahi Muhammad Sokoto, Aminu Bayawa Muhammad, Yahaya Alhassan, Chika Muhammad

“…Out of all the model-free methods, FD showed the greatest apparent activation energy levels when compared to the iso-conversion methods KAS and FWO. The changes in entropy (−123 to 135), Gibbs free energy (150–156 kJ/mol), and activation enthalpy (63–71 kJ/mol) were computed using the best-fitting model. …”
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A Randomized Non‐overlapping Encryption Scheme for Enhanced Image Security in Internet of Things (IoT) Applications by Muhammad Aqeel, Arfan Jaffar, Muhammad Faheem, Muhammad Waqar Ashraf, Nadeem Iqbal, Shahid Yousaf, Hossam Diab

“…To validate the robustness of the proposed algorithm, standard benchmark images were utilized, and rigorous security metrics —including information entropy, correlation coefficient, histogram uniformity, and resistance to differential attacks —were analyzed. …”
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Distribution changes of Ormosia microphylla under different climatic scenarios by Pan Huang, Yaqin Xiao, Yurong Sun, Huihua Huang, Zhiwei Gong, Yingfang Zhu

“…Here distribution data of O. microphylla and environmental data with an optimized MaxEnt maximum entropy model were used to predict potentially suitable areas under current and future climate scenarios. …”
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Evaluating the Sustainable Growth of Small- and Medium-Sized Construction Enterprises Using the Multicriteria Decision-Making Method by Wenbao Wang, Wenhe Lin, Xinyi Dai, Yingzheng Yan, Aiping Xuan

“…Considering the development of small- and medium-sized construction enterprises, a growth evaluation index system that includes growth resources, growth ability, and growth innovation was established, and a growth evaluation model was constructed using the improved entropy-VIKOR algorithm. Evaluation and analysis of the sustainable growth of small- and medium-sized construction enterprises listed before the end of 2012 were conducted. …”
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