Research on the evolutionary game of safety behavior of EPC consortium members based on prospect theory by Zeyou Chen, Liang Xia, Yangyang Su, Guangran Chen, Zheyuan Zhang

“…Therefore, this study incorporates prospect theory, constructs a safety behavior perception payoff matrix and an evolutionary game model involving design enterprise, construction enterprise, and supplier as the primary stakeholders, analyzes the interactive mechanisms of safety behavior among the three parties, and uses MATLAB simulation to explain the evolutionary path of behavioral strategies under varying parameters. …”
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Research on the Evolutionary Pathway of Science–Technology Topic Associations: Discovering Collaborative and Symmetrical Effects by Yin Feng, Zheng Li, Tao Zhang

“…Then, we selected 3040 pairs of collaborative topic pairs and categorized them into three distinct groups: weak, moderate, and strong correlation. …”
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Evolutionary Game Analysis of Citizen Data Collection Under Different Reward- Penalty Mechanisms by Zhe Tan, Tianzhe Liu, Fusheng Li, Huizhen Cao

“…To analyze the long-term impact of government reward-penalty mechanisms on citizen data collection, this paper constructed three evolutionary game models under scenarios of no reward-penalty, static reward-penalty, and dynamic reward-penalty mechanisms. …”
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Evolutionary Game Analysis of the Dissemination of False Information by Multiple Parties after Major Emergencies by Bowen Li, Hua Li, Qiubai Sun, Rongjian Lv, Jianbo Zhao

“…First, a game model is constructed, using relevant knowledge of evolutionary game theory, between three parties: regulatory institutions, opinion leaders, and ordinary Internet users. …”
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A Knee Point-Driven Many-Objective Evolutionary Algorithm with Adaptive Switching Mechanism by Maowei He, Xu Wang, Hanning Chen, Xuguang Li

“…To validate the performance of KPEA, it is compared with five state-of-the-art many-objective evolutionary algorithms. All algorithms are evaluated on 20 benchmark problems, i.e., WFG1-9, MaF1, and MaF4-13 with 3, 5, 8, and 10 objectives. …”
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Detecting Positive and Negative Changes From SAR Images by an Evolutionary Multi-Objective Approach by Shuang Liang, Hao Li, Yun Zhu, Maoguo Gong

“…Then the objective functions are simultaneously optimized by a multi-objective evolutionary algorithm. The experimental results on two simulated data sets and three real SAR data sets confirm the effectiveness of the proposed method.…”
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Large Language Model and Traditional Machine Learning Scoring of Evolutionary Explanations: Benefits and Drawbacks by Yunlong Pan, Ross H. Nehm

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Evolutionary game analysis of the longitudinal integration of electronic health record based on prospect theory by Xinqi Hu, Ruina Wang, Yuanyuan Wei, Hongwei Lin, Xiaomiao Gui

“…The findings indicate that: (1) increasing the initial willingness of all parties to participate is a key factor in encouraging active involvement in the EHR integration process; (2) the value of record awareness and the closeness of medical alliances significantly affect participation behavior, thus accelerating the integration process; (3) factors such as loss aversion, sensitivity to gains and losses, and efficacy loss sensitivity have complex effects on the system’s evolutionary path. …”
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Evolutionary Game Analysis of Credit Regulation for Practitioners in the Construction Industry Based on Prospect Theory by Song Xue, Jintian Mai, Tong Su, Na Li

“…The research findings include the following: (1) evolutionary trends are consistently influenced by the risk preferences of the subjects; (2) inspection intensity exerts a stronger short-term impact on low-credit groups, yet unilaterally increasing inspection intensity has limited policy effectiveness; (3) process restructuring and technological advancements significantly influence the behavior of high-credit groups but have a limited impact on low-credit groups. …”
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Exposing Selection and Genetic Linkage in the Evolutionary Enigmatic Balanced Lethal System in Triturus Newts by Willem R. M. Meilink, Milena Cvijanović, Manon C. deVisser, James France, Ana Ivanović, Anagnostis Theodoropoulos, Tijana Vučić, Ben Wielstra

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Conflict between genetic and phenotypic differentiation: the evolutionary history of a 'lost and rediscovered' shorebird. by Frank E Rheindt, Tamás Székely, Scott V Edwards, Patricia L M Lee, Terry Burke, Peter R Kennerley, David N Bakewell, Monif Alrashidi, András Kosztolányi, Michael A Weston, Wei-Ting Liu, Wei-Pan Lei, Yoshimitsu Shigeta, Sálim Javed, Sama Zefania, Clemens Küpper

“…Understanding and resolving conflicts between phenotypic and genetic differentiation is central to evolutionary research. While phenotypically monomorphic species may exhibit deep genetic divergences, some morphologically distinct taxa lack notable genetic differentiation. …”
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Research on the Supervision Mechanism of Voluntary Food Safety Information Disclosure: An Evolutionary Game Analysis by Wentai Bi, Suyun Chen, Panpan Zhu, Zongze Li, Qingzi Cao

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Recent Evolutionary Process and Influencing Factors in Wuhu-Yuxi Reach of Lower Yangtze River by QU Geng, SUN Tian-yin, HE Zi-can, LUAN Hua-long, HAO Jie-yu

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Analysis of gene expansion and defense-related genes in Anacardiaceae family from an evolutionary aspect by Bing-Liang Fan, Lin-Hua Chen, Ling-Ling Chen

“…However, comparative genomic analysis and evolutionary insights into defense-related mechanisms within this family remain underexplored.Methods and resultsThis study employed a comprehensive phylogenomic, synteny, and gene family analysis across six Rhus species and three additional Anacardiaceae plants (Mangifera indica, Pistacia vera, and Anacardium occidentale). …”
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An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation by Liang Xiang, Xiajie Zhao, Jianfeng Wang, Bin Wang

“…In order to improve the image-segmentation performance, this study proposes an enhanced Human Evolutionary Optimization Algorithm (HEOA), known as CLNBHEOA, which incorporates Otsu’s method as an objective function to significantly improve the image-segmentation performance. …”
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Long-distance gene flow and recombination shape the evolutionary history of a maize pathogen by Flávia Rogério, Cock Van Oosterhout, Stéphane De Mita, Francisco Borja Cuevas-Fernández, Pablo García-Rodríguez, Sioly Becerra, Silvia Gutiérrez-Sánchez, Andrés G. Jacquat, Wagner Bettiol, Guilherme Kenichi Hosaka, Sofia B. Ulla, Jürg Hiltbrunner, Rogelio Santiago, Pedro Revilla, José S. Dambolena, José L. Vicente-Villardón, Ivica Buhiniček, Serenella A. Sukno, Michael R. Thon

“…The evolutionary history of crop pathogens is shaped by a complex interaction of natural and anthropogenic factors. …”
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The Bayesian reconstruction and the evolutionary history of Salivirus type 1 and type 2: the worldwide spreading by Silvia Angeletti, Domenico Benvenuto, Marta Fogolari, Cecilia De Flora, Giancarlo Ceccarelli, Ivana Maida, Riccardo Bazzardi, Silvia Spoto, Stefano Pascarella, Boban Mugosa, Massimo Ciccozzi

“…Methodology: a database of 81 sequences of SalV structural VP1 fragment were downloaded from GenBank, aligned and manually edited by Bioedit Software. ModelTest v. 3.7 software was used to estimate the simplest evolutionary model fitting the sequence dataset. …”
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Research on Reactor Radiation Shielding Optimization Method Based on Multi-objective Evolutionary Algorithm by LIU Chengwei1, 2, CHEN Zhenping1, 2, , YANG Chao1, 2, ZHANG Huajian1, 2, SUN Aikou1, 2, LEI Jichong1, 2, YU Tao1, 2

“…This paper introduced two multi-objective evolutionary algorithms, utilizing a non-dominated sorting genetic algorithm (NSGA-Ⅲ) based on reference point selection and a multi-objective artificial bee colony (MOABC) algorithm based on crowding distance selection. …”

Evolutionary dynamics of mitochondrial genomes and intracellular transfers among diploid and allopolyploid cotton species by Jiali Kong, Jie Wang, Liyun Nie, Luke R. Tembrock, Changsong Zou, Shenglong Kan, Xiongfeng Ma, Jonathan F. Wendel, Zhiqiang Wu

“…Conclusions A comprehensive analysis of organellar genome variation demonstrates complex structural variation and low mutation rates across the entire mitogenome and reveals the history of organellar genome transfer among the three genomes throughout the cotton genus. The findings enhance our general understanding of mitogenome evolution, comparative organellar and nuclear evolutionary rates, and the history of inter-compartment genomic integration.…”
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Dynamic evolutionary pattern of fractures in tectonically deformed coal-bearing assemblages during loading by Pengxiang ZHAO, Yingying LIU, Shugang LI, Yanqun LIU, Yunchuan LIU, Laolao WANG, Weidong LU

“…Moreover, this study reconstructed the mesoscopic geometric structures of the specimens using the Avizo software, obtaining three-dimensional visualization models of fractures inside the specimens. …”
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