Stiffness Regulation of Cable-Driven Redundant Manipulators Through Combined Optimization of Configuration and Cable Tension by Zhuo Liang, Pengkun Quan, Shichun Di

“…An improved differential evolution algorithm is employed to generate adjustable configuration solutions based on motion-level factors, while a modified gradient projection method is adopted to derive adjustable cable tension solutions based on tension-level factors. …”
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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

“…Then, the positive Lyapunov exponent is optimized using the differential evolution algorithm to obtain chaotic attractors with 2 to 5 scrolls. …”
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The performance evolution of Xue and Yamada-Ota models for local thermal non equilibrium effects on 3D radiative casson trihybrid nanofluid by Ahmed M. Galal, Ali Akgül, Sahar Ahmed Idris, Shoira Formanova, Talib K. Ibrahim, Murad Khan Hassani, Abdullah A. Faqihi, Munawar Abbas, Ibrahim Mahariq

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A Comprehensive Review of Most Competitive Maximum Power Point Tracking Techniques for Enhanced Solar Photovoltaic Power Generation by Hassan Al Garni, Arunachalam Sundaram, Anjali Awasthi, Rahul Chandel, Salwan Tajjour, Shyam Singh Chandel

“…The results show that maximum power point tracking controllers mostly use conventional algorithms; however, metaheuristic algorithms and their hybrid variants are found to be superior to conventional techniques under varying environmental conditions. The Grey Wolf Optimization, in combination with Perturb & Observe, and Jaya-Differential Evolution, is found to be the most competitive technique. …”
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The superiority of feasible solutions-moth flame optimizer using valve point loading by Mohammad Khurshed Alam, Herwan Sulaiman, Asma Ferdowsi, Md Shaoran Sayem, Md Mahfuzer Akter Ringku, Md. Foysal

“…The MFO, Grey Wolf Optimizer (GWO), Success-history-based Parameter Adaptation Technique of Differential Evolution - Superiority of Feasible Solutions (SHADE-SF), and Superiority of Feasible Solutions-Moth Flame Optimizer (SF-MFO) algorithms are applied to address the OPF problem with two objective functions: (1) reducing energy production costs and (2) minimizing power losses. …”
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Enhanced Transmission Expansion Planning With a High Confidence Strategy Considering Fluctuations in Solar PV Generation and Electricity Demand by Siripat Somchit, Niphon Kaewdornhan, Rongrit Chatthaworn

“…To address this issue, this work proposes an enhanced TEP-based 24-hour situation optimized by an improved Binary Differential Evolution (BDE) algorithm assisted by the logistic map for adjusting the mutation factor and crossover rate. …”
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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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Development of compact mechanism for lithium-ion battery venting gas fires using Cantera ordinary differential equation neural network algorithm by Mengjie Li, Hao Hu, Li Lu, Huangwei Zhang

“…To address these issues, this work develops the Cantera Ordinary Differential Equation Neural Network (CODENN) algorithm, which combines the computational power of neural ordinary differential equations with Cantera's advanced chemical kinetics modeling. …”
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A New Approach for Automatic Search for Families of Optimal Undirected Double-Loop Networks by Emilia A. Monakhova, Oleg G. Monakhov, Edward R. Rzaev, Aleksandr A. Amerikanov, Mikhail Y. Romashikhin, Aleksandr Y. Romanov

“…We automated the process of searching for analytical (described by polynomials in diameter) descriptions of the families of optimal double-loop networks. After applying the integration of differential evolution methods, exhaustive local search, and a new search algorithm (based on the division of graph description polynomials) to the analysis of the generated dataset, we found a large amount of new (distinct from all previously known) families of optimal double-loop networks with generators of linear or quadratic types. …”
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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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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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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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