Synergistic evolution of dual-precipitation and reverted austenite on mechanical properties in 2.4 GPa ultrahigh strength steel by Aijun Li, Yangxin Wang, Xinyu Jin, Jiaxin Liu, Chundong Hu, Han Dong

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Stochastic evolutionary system with Markov-modulated Poisson perturbations in the averaging schema by S. A. Semenyuk, Ya. M. Chabanyuk

“…The stochastic evolutionary system perturbed by the compensated Poisson process with an additional jump size function is described. We build the generator for an evolution process and investigate its asymptotic properties. …”
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Evaluation and optimization of carbon emission for federal edge intelligence network by Peng ZHANG, Yong XIAO, Jiwei HU, Liang LIAO, Jianxin LYU, Zegang BAI

“…In recent years, the continuous evolution of communication technology has led to a significant increase in energy consumption.With the widespread application and deep deployment of artificial intelligence (AI) technology and algorithms in telecommunication networks, the network architecture and technological evolution of network intelligent will pose even more severe challenges to the energy efficiency and emission reduction of future 6G.Federated edge intelligence (FEI), based on edge computing and distributed federated machine learning, has been widely acknowledged as one of the key pathway for implementing network native intelligence.However, evaluating and optimizing the comprehensive carbon emissions of federated edge intelligence networks remains a significant challenge.To address this issue, a framework and a method for assessing the carbon emissions of federated edge intelligence networks were proposed.Subsequently, three carbon emission optimization schemes for FEI networks were presented, including dynamic energy trading (DET), dynamic task allocation (DTA), and dynamic energy trading and task allocation (DETA).Finally, by utilizing a simulation network built on real hardware and employing real-world carbon intensity datasets, FEI networks lifecycle carbon emission experiments were conducted.The experimental results demonstrate that all three optimization schemes significantly reduce the carbon emissions of FEI networks under different scenarios and constraints.This provides a basis for the sustainable development of next-generation intelligent communication networks and the realization of low-carbon 6G networks.…”
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The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges by Daniel Icaza Alvarez, Fernando González-Ladrón-de-Guevara, Jorge Rojas Espinoza, David Borge-Diez, Santiago Pulla Galindo, Carlos Flores-Vázquez

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From Generative Artificial Intelligence to Artificial General Intelligence: Enabling Innovation Models in Library Knowledge Services by Mo LI, Bin YANG

“…[Method/Process] Based on the classification of the development history of AI, this article examines the state of research in AI for library knowledge services from the dynamic perspective of the evolution from generative AI to artificial general intelligence. …”
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Per aspera ad astra: When harmful chromosomal translocations become a plus value in genetic evolution. Lessons from Saccharomyces cerevisiae by Valentina Tosato, Carlo V. Bruschi

“…Many wild type strains naturally develop chromosomal rearrangements while adapting to different environmental conditions. Translocations, in particular, are valuable not only because they naturally drive species evolution, but because they might allow the artificial generation of new strains that can be optimized for industrial purposes. …”
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Comparative Effects of Intermittent vs. Constant Ceftiofur Hydrochloride Exposure on <i>Staphylococcus aureus</i> In Vitro by Junli Wang, Chongyang Li, Fanxi Guo, Zugong Yu

“…This study aims to explore how different concentrations, durations, and dosing frequencies affect susceptibility and bactericidal efficacy of <i>Staphylococcus aureus</i> to optimize CEF dosage regimens. …”
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Analysis and Optimization of Dysprosium-Doped Yellow Fiber Lasers for Ophthalmology Applications by Foroogh Khozeymeh, Federica Poli, Wahida Chowdhury, Annamaria Cucinotta

“…The influence of overlap integrals, output mirror reflectivity, and active fiber length on laser performance is investigated. The optimization criteria based on the different robust configurations of laser cavities are found which predict the slope efficiencies higher than half of the Stokes limit.…”
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Gut Microbiome-Host Genetics Co-Evolution Shapes Adiposity by Modulating Energy and Lipid Metabolism in Selectively Bred Broiler Chickens by Guangqi Gao, Yangbo Jiao, Lai-Yu Kwok, Zhi Zhong

“…We compared the gut microbiome composition and host whole-genome profiles between fat-line and lean-line broiler chickens that had been selectively bred for divergent abdominal fat levels over 15 generations. Despite identical dietary and environmental conditions, the two chicken lines exhibited significant differences in their gut microbiota. …”
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Opportunities, Challenges, and Future Directions for Generative Artificial Intelligence in Library Information Literacy Education: A Scoping Review by Fan YUAN, Jia LI

“…By systematically examining the opportunities, challenges, and development trajectories of generative AI, this study provides valuable insights for libraries and educational institutions seeking to optimize their IL programs in the AI era. …”
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Experimental Verification of Optimized Multiscroll Chaotic Oscillators Based on Irregular Saturated Functions by J. M. Muñoz-Pacheco, D. K. Guevara-Flores, O. G. Félix-Beltrán, E. Tlelo-Cuautle, J. E. Barradas-Guevara, C. K. Volos

“…Multiscroll chaotic attractors generated by irregular saturated nonlinear functions with optimized positive Lyapunov exponent are designed and implemented. …”
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Response of soil erosion to rainfall during different dry periods following drip irrigation by Jinxin Zhang, Jinxin Zhang, Dongdong Zhang, Bin Zhang, Shuyuan Zeng, Zhen Han

“…The temporal evolution of soil surface characteristics following drip irrigation appears to influence hydrological responses during subsequent precipitation events, providing new insights for optimizing irrigation strategies in erosion-prone situations.…”
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Optimal Tracking for a Divergent-Type Parabolic PDE System in Current Profile Control by S. Li, H. Jiang, Z. Ren, C. Xu

“…With the feedforward trajectories generated by numerical optimization, we derive a linear system to describe the error evolution. …”
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Sequence characterization and evolutionary analysis of S-RNase gene among five genera Pomoideae by LIANG Wenjie, XIE Zhiliang, Wuyun Tana

“…It was found that in addition to the recognized HV region with pollen recognition features, other regions also showed similar features; The phylogenetic tree generated by gene coding sequence and codon preference showed no genus or species-specific clustering, indicating that the S-RNase gene differentiation in 5 genera of Pyridae was earlier than that among different genera. …”
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Optoelectronic optimization of graded-bandgap CdTeSe thin-film solar cells by Faiz Ahmad, Akhlesh Lakhtakia, Peter B Monk

“…Optimization using the differential evolution algorithm indicates that linearly and nonlinearly graded CdTeSe photon-absorbing layers of 3000 nm thickness can deliver an efficiency of 21.79% and 21.22%, respectively, when the selenium-to-tellurium ratio is not allowed to exceed 2/3. …”
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Elucidation of the Electrocatalytic Function of Composite Metal Carbides Co3W3C and Co3Mo3C with Oxygen Reduction and Oxygen Evolution Reactions by Ikki YANAGIMOTO, Masashi WADA, Satoko TAKASE, Toshiyuki TAKIZAWA, Youichi SHIMIZU

“…Metal-air secondary batteries have attracted attention as a next-generation energy storage system due to their high energy density and environmentally friendly characteristics. …”
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The Influence of Different Foaming Agents on the Properties and Foaming Mechanisms of Foam Ceramics from Quartz Tailings by Huiyang Gao, Jie Zhang

“…This study used quartz sand tailings and waste glass powder as raw materials to fabricate foam ceramic materials. The effects of different foaming agents (SiC, CaCO₃, and MnO₂) on the phase evolution, microstructure, pore size distribution, and physical properties of the foam ceramics were investigated, and the foaming mechanisms were elucidated. …”
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Mathematical modeling and optimization of the active suspension system of a 6x6 electric vehicle by Berk Aydoğan, Ahmet Yildiz

“…In the mathematical model, simulations of models with passive and active suspension systems were carried out and system accuracy was confirmed. Three different methods were used for optimization: Genetic Algorithm (GA), Particle Swarm Optimization (PSE) and Differential Evolution (DE) Optimization. …”
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Policy-aware Optimization-based Modeling of Autonomous Vehicles&#x2019; Longitudinal Driving Behavior by Hashmatullah Sadid, Constantinos Antoniou

“…The methodological framework consists of an optimization module and a simulation environment. The differential evolution (DE) method is employed within the optimization module to identify the optimized values of the CF parameters. …”
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Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches by Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi

“…The second strategy introduces three variants, each incorporating a Q-learning-based operator in the selection mechanism and a different evolution control mechanism, where the Kriging model is employed to approximate the fitness of generated offspring. …”
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