Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

“…First, the time domain features were extracted by kernel principal component analysis, the frequency domain features were extracted by short-time Fourier extracted transform, and the nonlinear dynamic features were extracted by calculating sample entropy. On this basis, the features of these three modalities were interactively learned through the multi-head self-attention mechanism, and the attention weights were trained simultaneously. …”
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Risk Assessment of Distracted Driving Behavior Based on Visual Stability Coefficient by Haixiao Wang, Xu Ding, Chutong Wang

“…Firstly, four visual characteristics indicators that were highly sensitive to traffic conditions and driving states were selected in terms of visual field range, visual recognition, visual search, and visual load, which were the information entropy of fixation area (IEFA), saccade amplitude, peak-to-average ratio of saccade velocity (PARSV), and relative change intensity of pupil area (RCPA). …”
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Prioritizing implementation solutions for the urban family physician policy in Iran: a multi-criteria decision-making study by Lida Shams, Mohammadreza Mobinizadeh, Taha Nasiri, Fatemeh Mohammadi

“…In the second stage, the extracted executive solutions were ranked using multi-criteria decision-making (MADM) and a hybrid approach combining Shannon entropy with simple aggregation weighting (SAW). Results Main themes were identified, including financing, management, human resources, structure, culture building, payment mechanism information systems, monitoring & control, performance of insurance organisations, and implementation. …”
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Metabolic control and its associated factors in type 1 diabetic people: longitudinal trajectory modeling by Zahra Khosravi, Ali Taghipour, Monavar Afzalaghaee, Habibollah Esmaily, Ahmad Khosravi

“…Results The results showed four trajectories of safe controlled (46.2%), moderate stable risk (28.7%), moderate increasing risk (12.5%), and high decreasing risk trajectory (12.6%) (entropy = 0.70). The results of multinomial logistic regression showed dyslipidemia could increase the odds of being in the three risk trajectories. …”
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First Principles Study of Electronic, Vibrational, Elastic, and Thermodynamic Properties of Sc‐X (X = P, S, Se) Compounds by S. K. Yadav, S. Dahal, R. Khadka, B. Guragain, P. Pokharel, P. Oli, D. Adhikari

“…In thermodynamic properties, Helmholtz free energy, thermal energy, vibrational free energy, entropy, vibrational energy, thermal expansion, Grüneisen parameter, isochoric heat capacity (Cv), isobaric heat capacity (Cp), and Cp‐Cv, were also investigated in the temperature range.…”
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Measuring coordination between land ecological security and high-quality economic development: a case of the Beijing-Tianjin-Hebei region by Xiaoyong Zhong, Xiaoyong Zhong, Dongyan Guo, Yandong Tang, Yafei Chuai

“…In this study, we employ the entropy-weighted technique for order preference by similarity to ideal solution (EW-TOPSIS), coupling coordination degree (CCD), deviation coordination degree, and relative development degree methodologies to assess the developmental status of LES and HED, as well as the coupling coordination between these two systems, and introduce a novel approach for delineating functional regions. …”
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ASSESSMENT OF ROMANIAN ALPINE HABITATS SPATIAL SHIFTS BASED ON CLIMATE CHANGE PREDICTION SCENARIOS by ADRIAN CONSTANTINESCU, JENICĂ HANGANU, ANTHONY LEHMANN, NICOLAS RAY

“…This paper presents the use of modeling technique, Maxent (Maximum entropy modeling) and BIOCLIM (environmental envelope model), to estimate the impact of climate change on the Alpine bioregion of Continental Europe for improving the management policy in support of stopping biodiversity loss. …”
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A study of the impact of urban business credit environment on environmental pollution. by Jing Wu, Qing Guo

“…Is the urban business credit environment influencing urban environmental conditions? The study takes the entropy method for calculating the environmental pollution index of 276 prefecture-level cities across China from 2010 to 2021, the CE1 index to describe the urban business credit environment, and a spatial Durbin model to empirically analyze the mechanism and transmission path of the urban business credit environment on environmental pollution. …”
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Application of EMD Technology in Leakage Acoustic Characteristic Extraction of Gas-Liquid, Two-Phase Flow Pipelines by Jian Ji, Yuxing Li, Cuiwei Liu, Dongxu Wang, Huafei Jing

“…Upon increases in the leakage aperture sizes, the entropy of the EMD information of the acoustic signals gradually increases. …”
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Diagnosing and Predicting the Earth’s Health via Ecological Network Analysis by Zi-Ke Zhang, Ye Sun, Chu-Xu Zhang, Kuan Fang, Xiang Xu, Chuang Liu, Xueqi Wang, Kui Zhang

“…We firstly empirically analyze both the topological properties and time-dependent features of nodes and propose an Earth’s health index based on Shannon Entropy. Secondly, we identify the importance of each element by a machine learning approach. …”
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Deciphering methanolysis of Calophyllum inophyllum oil into biodiesel using KOH-doped Aegle marmelos biochar catalyst: Thermo-kinetics, optimization and cost analysis by Bisheswar Karmakar, Gopinath Halder

“…From kinetic and thermodynamic studies, it is seen that the base catalysed transesterification has an activation energy (Ea) = 98.895 kJ/mol and frequency factor (A) = 90.74 min-1, as the reaction is endothermic since enthalpy change (ΔH) was noted to be 809.64 J, along with an entropy change (ΔS) of -64.59 J/K-mol, showing it to be non-spontaneous as well as increasing order in the system.…”
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Removal of gentian violet in aqueous solution by activated carbon equilibrium, kinetics, and thermodynamic study by Moussa Abbas, Zahia Harrache, Mohamed Trari

“…The adsorption isotherms at different temperatures have been used for the determination of thermodynamic parameters, i.e. free energy (Δ G ° = − 2.30 to −5.34 kJ/mol), enthalpy (Δ H ° = 36.966 kJ/mol), entropy (Δ S ° = 0.131 kJ/mol K), and activation energy ( Ea ) 40.208 kJ/mol of gentian violet adsorption. …”
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Coupling coordination mechanism of higher education and industrial economy: evidence from higher education institutions in Chongqing, China by Pengfei Guo, Hang Chen, Xinyun Hu

“…Abstract Based on the sample data of 63 higher education institutions in Chongqing from 2013 to 2022, this paper adopts the entropy value method and the coupling coordination degree evaluation model to measure the coupling coordination degree and coupling mechanism between higher education and industrial economy in Chongqing. …”
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Investigation of kinetics, thermodynamics, and isotherms of the simultaneous removal of heavy metal ions by activated carbon from cypress fruit by Alaa M Al-Ma’abreh, Manal AlKhabbas, Samer Alawaideh, Samer Hasan Hussein-Al-Ali, Dareen A Hmedat, Gada Edris, Razan Ataallah Abuassaf, Mariam A Hamed

“…The positive enthalpy (ΔH°) confirms the endothermic adsorption of the three ions, and the positive entropy (ΔS°) predicts an unpredictable nature at the solid-solution interface. …”
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The influence of digital village construction on agricultural green development-based on the mediate role of industrial structure upgrading by Zhaoguang Li, Kai Hu, Qinying Shi

“…The role and mechanism of China's digital rural construction in promoting the green development of the whole process of agricultural production needs further analysis.MethodsBased on the panel data of prefecture-level cities in Henan Province from 2013 to 2022, we used the entropy topsis model, the fixed effect model, the Tobit regression model, the intermediate effect model, and the threshold effect model, aiming to explore the effects of digital village construction on agricultural green development and their regional differences, impacts paths and non-linear effects.ResultsThe study found the following: (1) The level of agricultural green development and the digital village construction have increased in Henan province, with the latter exhibiting a spatial clustering phenomena. (2) Digital village construction has a significant positive effect on green agricultural development, but this effect does not exist in mountainous areas. (3) The digital village construction can impact green agricultural development through the updating of agricultural structures. (4) The positive influence of digital village construction on green agricultural development is non-linear, with a single-threshold and increasing marginal effects.DiscussionThese findings provide references for other countries to use digital elements to promote green and sustainable development of agriculture. …”
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EEG-RegNet: Regressive Emotion Recognition in Continuous VAD Space Using EEG Signals by Hyo Jin Jon, Longbin Jin, Hyuntaek Jung, Hyunseo Kim, Eun Yi Kim

“…A key innovation is the hybrid loss function, which integrates mean squared error (MSE) and cross-entropy (CE) with a Bernoulli penalty to enhance probability estimation and address sparsity in the emotional space. …”
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Ecosystem Health Assessment and Driving Factor Analysis of Panjin Reach of Liaohe River Basin Based on PSR Model by YANG Heqing, HU Huiqin, ZHANG Qinxu, QIN Mengen, ZHANG Mingliang, HOU Jun

“…To evaluate the ecosystem health of Panjin reach in the Liaohe River Basin,based on the data collected from 2010 to 2020 in the study area,this paper adopts a pressure-state-response (PSR) evaluation model and selects 13 evaluation indicators.The entropy weight method is introduced to calculate the weight,and the fuzzy relation matrix method is adopted to calculate the membership degree.As a result,the comprehensive evaluation index (CEI) in the Panjin section of the Liaohe River is obtained,and then the ecosystem health of the study area is evaluated.The results show that the CEI indexes of this area from 2010 to 2020 are 0.343,0.341,0.279,0.425,0.418,and 0.464 respectively,and the overall ecosystem health changes from an “unhealthy” level to a “generally healthy” level.This study indicates that the total volume of water resources,policies and regulations,construction of protected areas,landscape diversity index,industrial wastewater discharge,and chemical oxygen demand in water have a great influence on the ecosystem health of the study area,with the weight values of 0.209 7,0.179 7,0.141 9,0.136 8,and 0.106 3 respectively.The overall weight of hydrologic and water environment factors involved in all the indicators is 0.620 7,with the effect degree more than half of all indicators.These hydrologic and water environment factors play a more direct role in this area.Therefore,the ecosystem health improvement in the study region requires management and remediation from the perspective of hydrology and the water environment.Thus,to improve the ecosystem health of the study area,it is necessary to carry out the management and regulation from the perspectives of hydrology and the water environment.…”
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Hybrid Simulated Annealing-Evaporation Rate-Based Water Cycle Algorithm Application for Medical Image Enhancement by Eyob Mersha Woldamanuel

“…The fitness function consists of three objective measurements, namely, entropy, number of edges, and sum of edge intensities. …”
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The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms by Xiaoyi Zhu

“…Additionally, it incorporates ensemble empirical mode decomposition, sample entropy clustering, and sea-horse optimizer as part of its methodology. …”
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Clinical Applications of Heart Rate Variability in the Triage and Assessment of Traumatically Injured Patients by Mark L. Ryan, Chad M. Thorson, Christian A. Otero, Thai Vu, Kenneth G. Proctor

“…The purpose of this paper is to describe the three analytical methods (time domain, frequency domain, and entropy) and specific clinical populations that have been evaluated in trauma patients and to identify key issues regarding HRV that must be explored if it is to be widely adopted for the assessment of trauma patients.…”
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