Calculation of Free Energy Consumption in Gene Transcription with Complex Promoter Structure by Lifang Huang, Peijiang Liu, Kunwen Wen, Jianshe Yu

“…We propose a biophysically intuitive approach to calculate energy consumption (quantified by the production rate of entropy) of a gene transcription process. Then, we show that the numbers of the ON and OFF states of a promoter can reduce energy consumption of the gene system and the Fano factor of mRNA, and in contrast to other regulatory ways, the cooperative binding of transcription factors to DNA sites always reduces energy consumption but amplifies the mRNA noise. …”
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Bibliometric Analysis of Optimal Scheme Selection for Water Conservancy Projects by ZHANG Boyang

“…The results show that the fuzzy multi-attribute decision making,projection pursuit,entropy weight method,fuzzy analysis,technique for order of preference by similarity to ideal solution (TOPSIS),and analytic hierarchy process (AHP) are widely used in the optimal scheme selection for water conservancy projects and are also research hotspots in this field.In comparison with other disciplines,the field witnesses little research progress in other countries.This paper focuses on the main methodological advances in the field and provides an outlook on its future trends in hope of promoting further development of the theory and application regarding optimal scheme selection for water conservancy projects.…”
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Compound Fault Feature Extraction of Gearbox based on Improve Variational Mode Decomposition by Chai Huili, Ye Meitao, Wang Zhijian

“…In the practical condition,the fault signal of gearbox often contain multiple fault information,but the weak fault signal belongs to weak signal compared with strong fault signal and noise,therefore,the extraction of weak fault signal in complex fault is always a difficult point in rotating machinery fault diagnosis.Based on the problems above,considering that MED（ Minimum Entropy Deconvolution） has strong reduction performance of noise,the intrinsic mode function decomposed by VMD（ Variational Mode Decomposition） is distorted in strong noise environment. …”
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Collapse risk assessment based on linear programming variable weight-cloud model. by Xiaoyi Zhou, Ke Hu, Tingqiang Zhou

“…Firstly, the weight interval of evaluation index is determined by improved analytic hierarchy process, entropy weight method and coefficient of variation method. …”
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Application in Feature Extraction of AE Signal for Rolling Bearing in EEMD and Cloud Similarity Measurement by Long Han, Chengwei Li, Liqun Shen

“…Finally, it sets the Multivariate Multiscale Entropy (MME) of sensitive IMF as the eigenvalue of original signal; then it is classified by the SVM to determine the fault types exactly. …”
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Kinetics and mechanism of the reaction of gold(III) chloride complexes with formic acid by Pacławski K., Sak T.

“…Also, the values of enthalpy and entropy of activation for the reaction have been determined.…”
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Investigating Seidel energies and thermodynamic properties of benzenoid hydrocarbons through regression models by Rashad Ismail, Hafiz Muhammad Bilal, Kiran Naz, Sarfraz Ahmad, Muhammad Kamran Siddiqui, Mustafa Ahmed Ali

“…Abstract In this article, we present the concept of extended Seidel energy by employing a generalized extended matrix to study various molecular properties, including the Kovats retention index, boiling point, enthalpy of formation, entropy, acentric factor, and octanol-water partition coefficient. …”
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Instance Transfer Learning with Multisource Dynamic TrAdaBoost by Qian Zhang, Haigang Li, Yong Zhang, Ming Li

“…The theoretical analysis suggests that the proposed algorithm improves the capability that weight entropy drifts from source to target instances by means of adding the dynamic factor, and the classification effectiveness is better than single source transfer. …”
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Solar radiation model and optimization of asymmetric large-span externally insulated plastic greenhouses. by Chuanqing Wang, Kai Liu, Hongyu Ma, Tianhua Li, Shaojie Wang, Dalong Zhang, Min Wei

“…The optimal structural parameters for the asymmetric large-span externally insulated plastic greenhouse were determined using the NSGA-II method and the entropy weight-TOPSIS method: the height of 6.97 m, and the projection length of north lighting roof is 7.44 m for a greenhouse with a span of 20.00 m. …”
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Detection of Lungs Status Using Morphological Complexities of Respiratory Sounds by Ashok Mondal, Parthasarathi Bhattacharya, Goutam Saha

“…The morphological embedded complexities used in these experiments have been calculated in terms of texture information (lacunarity), irregularity index (sample entropy), third order moment (skewness), and fourth order moment (Kurtosis). …”
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A New Fractional-Order Map with Infinite Number of Equilibria and Its Encryption Application by Ahlem Gasri, Amina-Aicha Khennaoui, Adel Ouannas, Giuseppe Grassi, Apostolos Iatropoulos, Lazaros Moysis, Christos Volos

“…The results indicate that the new one-dimensional fractional map displays various types of coexisting attractors. The approximate entropy is used to observe the changes in the sequence sequence complexity when the fractional order and system parameter. …”
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Risk Transmission of the Regions in the Yangtze River Economic Belt by Xianbo Wu, Xiaofeng Hui

“…This study mainly uses the method of effective transfer entropy (ETE) to study the risk transmission in each year among the 11 provinces and municipalities in the Yangtze River Economic Belt during the last five years. …”
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A New Image Encryption Method Using an Optimized Smart Codebook by Rami Sihwail, Dyala Ibrahim

“…The evaluation of the proposed smart codebook depends on several factors, including entropy, unified averaged changed intensity (UACI), number of changing pixel rate (NPCR), and correlation coefficient analysis. …”
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Dynamic Investigation in Green Supply Chain considering Channel Service by Qiuxiang Li, Mengmeng Li, Yimin Huang

“…The conclusions are as follows: the stable scope of the green supply chain system enlarges with decision makers’ risk-aversion level increasing and decreases with service value increasing; excessive adjustment of price parameters will make the green supply chain system fall into chaos with a large entropy value; the attraction domain of initial prices shrinks with price adjustment speed increasing and enlarges with the channel service values raising. …”
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Novel Side Information Generation Algorithm of Multiview Distributed Video Coding for Multimedia Sensor Networks by Fu Xiao, Jinkai Liu, Jian Guo, Linfeng Liu

“…In the main perspective, gaining the intense motion regions of Wyner-Ziv frame according to the criteria of ROI, the algorithm extracts their DCT low-frequency coefficients for the entropy coding, in order to generate the best temporal side information. …”
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Trust evaluation model for distributed home photovoltaic collection scenarios in new power system by Li LI, Xiaolong WANG, Zhixin ZHANG, Rongliang SHI, Xu GUO

“…Aiming at the problem that the existing sensor network trust evaluation model could not be directly applied to the new power system distributed home photovoltaic collection scenario, which was difficult to meet the require-ments of strong computing power and high defense power of the new power system, a distributed dynamic trust evaluation model based on multi-index detection was proposed.Firstly, the communication trust evaluation based on Bayes was carried out according to the historical interaction of terminal acquisition nodes.Then, the currently col-lected data was evaluated by perceptual trust based on its historical data support degree and regional trust based on probability density.Finally, the entropy weight method was used to decentralize each trust module’s values dynamically.The node activeness and double reward and punishment mechanism were introduced to calculate the comprehensive trust value and realize the dynamic update.The experimental results show that the four levels of the trust evaluation model are suitable for the new power system environment and can be used to detect the distributed in 20 round period of household photovoltaic power generation collection given the signal in the scene, achieve dynamic and accurate trust evaluation of abnormal nodes in the case of physical environment factors, equipment quality factors, human misoperation and malicious intrusion.…”
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A High-Performance Lossless Compression Scheme for EEG Signals Using Wavelet Transform and Neural Network Predictors by N. Sriraam

“…The error residues are further encoded using a combinational entropy encoder, Lempel-Ziv-arithmetic encoder. Also a new context-based error modeling is also investigated to improve the compression efficiency. …”
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Accuracy-Improved Fault Diagnosis Method for Rolling Bearing Based on Enhanced ESGMD-CC and BA-ELM Model by Wei Yuan, Fuzheng Liu, Hongbin Gu, Fei Miao, Faye Zhang, Mingshun Jiang

“…The fault feature vectors are calculated by the power spectrum entropy-weighted singular values. Finally, the ELM model optimized by BA iteratively is performed as the final classifier for fault classification. …”
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Fusion of Focal Loss’s cyber threat intelligence entity extraction by Yuanbo GUO, Yongfei LI, Qingli CHEN, Chen FANG, Yangyang HU

“…Cyber threat intelligence contains a wealth of knowledge of threat behavior.Timely analysis and process of threat intelligence can promote the transformation of defense from passive to active.Nowadays, most threat intelligence that exists in the form of natural language texts contains a large amount of unstructured data, which needs to be converted into structured data for subsequent processing using entity extraction methods.However, since threat intelligence contains numerous terminology such as vulnerability names, malware and APT organizations, and the distribution of entities are extremely unbalanced, the performance of extraction methods in general field are severely limited when applied to threat intelligence.Therefore, an entity extraction model integrated with Focal Loss was proposed, which improved the cross-entropy loss function and balanced sample distribution by introducing balance factor and modulation coefficient.In addition, for the problem that threat intelligence had a complex structure and a wide range of sources, and contained a large number of professional words, token and character features were added to the model, which effectively improved OOV (out of vocabulary) problem in threat intelligence.Experiment results show that compared with existing mainstream model BiLSTM and BiLSTM-CRF, the F1 scores of the proposed model is increased by 7.07% and 4.79% respectively, which verifies the effectiveness of introducing Focal Loss and character features.…”
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High-Accuracy PVT Relationships for Compressed Fluids and Their Application to BET-like Modelling of CO and CH Adsorption by Janina Milewska-Duda, Jan Tadeusz Duda

“…The proposed fluid state equation (PVT relationship) combines a theoretical description of the fluid entropy (based on a hard-sphere model) with cohesion energy relationships obtained via high-accuracy approximations of universal compression factor data and vapour-liquid equilibria. …”
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