Evolution of grain trade patterns among RCEP member countries and the potential impacts of agreement signing by Minhao Lu, Yingmei Wu, Chao Zhang, Yang Wang, Jiahui Yang, Yi Huang, Yi Wang

“…Analyzing grain flow characteristics and the agreement’s potential impacts are essential to fostering resilient economic and trade cooperation within the world’s largest free trade area.MethodsThis study constructed a trade network analysis framework incorporating complex network topology, competition intensity, interdependence intensity, and robustness. …”
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Evaluating the change and trend of construction land in Changsha City based GeoSOS-FLUS model and machine learning methods by Zuopeng Zhang, Zhe Li, Zhirong Li

“…This research provides a comprehensive understanding of the driving mechanisms and evolutionary patterns of construction land use change in Changsha. …”
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calibrar: An R package for fitting complex ecological models by Ricardo Oliveros‐Ramos, Yunne‐Jai Shin

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Load–Settlement Modeling of Micropiled Rafts in Cohesive Soils Using an Artificial Intelligence Technique by Ahmed Elsawwaf, Hany El Naggar

“…To advance the adoption of micropiles in geotechnical practice, this study employs a multi-objective genetic algorithm-based evolutionary polynomial regression (EPR-MOGA), a hybrid artificial intelligence method, to develop a robust and straightforward model for predicting the load–settlement response of micropiled rafts in cohesive soils under vertical loads. …”
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Study on the Dynamic Evolution of Transverse Collusive Bidding Behavior and Regulation Countermeasures Under the “Machine-Managed Bidding” System by Zongyuan Zhang, Jincan Liu, Zhitian Zhang, Bin Chen

“…Results indicate that: (1) The MMB model significantly mitigates vertical collusive bidding behavior but lacks measures for governing transverse collusive bidding; (2) The game model has five evolutionarily stable strategies, with the one where the collusion initiator adopting the “non-collude” strategy, the free bidder adopting the “bid” strategy, and the regulator adopting the “negative regulate” strategy being the optimal evolutionary stable strategy; (3) Decreasing the costs associated with preparing bid documents, enhancing supervision costs, increasing the technical complexity of collusive bidding, and expanding the total number of construction enterprises with high-credit and low-credit ratings can expedite the evolution of the three participants toward the optimal evolutionarily stable strategy. …”
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Cropland suitability assessment evolution and outlooks by Shuai Bai, Yujia Chen, Bowen Fu, Meiqi Wu, Tonghui Yu, Xufeng Cui

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Multi-objective Optimization of Dimensional Parameter for 4-PRP_aR Parallel Mechanism by Jian Yi, Bing He, Linxian Che, Jie Li

“…Taking a 4-PRPaR parallel mechanism with three translational and one rotational as the research object， the evolutionary multi-objective algorithm is applied to solve the dimensional synthesis problem of mechanism. …”
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Performance Analysis and Dimensional Multi-objective Optimization for an Asymmetry 2UPS-UP Parallel Mechanism by Jian Yi, Linxian Che, Bing He, Jie Li

“…Furthermore， a multi-objective evolutionary algorithm is employed to solve this problem， and multiple Pareto optimal solutions are obtained.…”
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Complete Mitochondrial Genome and Its Phylogenetic Analysis of Oides decempunctatus (Coleoptera: Chrysomelidae) by Honghua Zhang, Junhao Wu, Zhiqian Liu, Xinju Wei, Zhihang Zhuo

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Research on Value Co-Creation Evolution Mechanism of Cross-Border Cooperation in Intelligent Connected Vehicle Industry by Jinhuan Tang, Yiming Chen, Dan Zhao, Shoufeng Ji

“…Therefore, this paper constructs a value co-creation evolutionary game model of the innovation ecosystem of the ICV industry with the automotive enterprise, an intelligent automotive solution provider and the government as players, and applies prospect theory to optimize the tripartite evolutionary game. …”
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Ensuring a sustainable supply of aquatic products in the future: research on the promotion and application of deep-sea aquaculture by Ye Ma, Ying Zhang

“…Therefore, based on the assumptions of bounded rationality and stakeholder interdependence, this study constructed an evolutionary game model to analyze how to promote the application and implementation of deep-sea aquaculture. …”
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Simulating Solar Neighborhood Brown Dwarfs. I. The Luminosity Function above and below the Galactic Plane by Easton J. Honaker, John E. Gizis

“…To extract the comparatively rare brown dwarfs from these massive data sets, we must understand the parameter space they will occupy. In this work, we construct synthetic populations of brown dwarfs in the solar neighborhood to explore their evolutionary properties using Gaia-derived star formation histories alongside observational mass, metallicity, and age relationships. …”
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Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model by Ting Chen, Xuefeng Zhang, Qunfeng Yu, Qin Yang, Lingmin Yuan, Fei Tong

“…ObjectiveTo explore the construction and clinical visualization application of a mortality risk prediction model for sepsis patients based on an improved machine learning model.MethodsThis retrospective study analyzed 1,050 sepsis patients admitted to Longyou County People’s Hospital between January 2010 and August 2023. …”
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Future strategies of thermal power enterprises: What new chapter will be unveiled by the joint mechanism of energy rights and renewable energy certificates? by Yan Li, Tian-tian Feng, Xiao-qi Sun, Li-li Liu, Cheng Zhong

“…The escalating global energy transition imperative has intensified governmental focus on market-based mechanisms for energy governance. This study constructs a four-party evolutionary game model incorporating prospect theory and multi-objective optimization methods to systematically investigate the combined effects of policy synergy mechanisms and market incentive designs on the development of Energy-consuming Rights Trading (ERT). …”
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Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

“…Traditional single models show limitations in processing large-scale multimodal data.MethodsThis study constructed an interpretable ensemble learning model for maize seed variety identification through improved differential evolutionary algorithm and multimodal data fusion. …”
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GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model by Caiyang Yu, Xianggen Liu, Yifan Wang, Yun Liu, Wentao Feng, Xiong Deng, Chenwei Tang, Jiancheng Lv

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Evolution characteristics and obstacle factors of rural resilience in Chinese minority areas in the background of rural tourism and COVID-19 by Jilin Wu, Derong Guo, Jinyou Zuo, Jing Yang, Shuiliang Liu

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Probable developmental, neurological and evolutionary trend in complex morphological structures: foramen magnum outlines analytic comparisons in four orders; Chiroptera: (Eidolon h... by Oluwale Michael Samuel, Olumayowa Olawumi Igado

“…Malformation manifestation possibilities increased along both domestication and phylogenetic levels confirming evolutionary trend and pattern in FM construction among species understudied.…”
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Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

“…This study focuses on art education, aiming to address the lack of personalization in traditional teaching methods by proposing innovative solutions using multimodal deep learning technology. The research constructs a Multimodal Feature Fusion Network (MFFN) and an Evolutionary Path Generation Algorithm (EPG), utilizing Kinect sensors, digital tablets, and other devices to collect multi-modal data including visual, tactile, behavioral, and environmental information, establishing a large-scale art learning dataset. …”
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An adaptive dynamics framework for microbial ecology and evolution by Carl-Joar Karlsson, Philip Gerlee, Julie Rowlett

“…Abstract Adaptive dynamics describes a deterministic approximation of the evolution of scalar- and function-valued traits. We construct an evolutionary process for a game-theoretic model which may describe the evolution of microbes. …”
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