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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Path and Practice of Gap Management in National Parks: A Comparison Between China and the US and Inspirations Therefrom by Yun MA, Siyuan HE

“…In the US, the management of “gap” in federal lands is in alignment with the evolution of historical land policies, which gives birth to “inholding” — non-federal lands surrounded by federally owned territories. …”
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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’ 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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Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios by Susanta Dutta, Tushnik Sarkar, Chandan Paul, Sabbir Reza Tarafdar, Provas Kumar Roy, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…To make this comparison more lucid, statistical records are produced, box plots are presented, error bar plots are used and moreover one way ANOVA test has been performed over the results generated through the different optimization approaches.…”
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Study on the Dynamic Characteristics of DM-DFBL Self-Delayed Feedback with an Optoelectronic Oscillation Loop by Nian Xie, Guangfu Bai, Yuanfen Li, Gang Kuang, Shu Xu, Daokai Huang, Xiaonan Wei, Qingzhe Wu, Weichao Huang

“…A systematic investigation of feedback coupling mechanisms under long-delay conditions is of great significance for optimizing such systems. In this paper, the nonlinear dynamic state generated by directly modulated distributed feedback semiconductor laser (DM-DFBL) self-delayed feedback with an optoelectronic oscillation loop is studied. …”
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Investigating the Impact of Sensor Layout on Radiation Hardness in 25 µm Pitch Hybrid Pixel Detectors for 4th Generation Synchrotron Light Sources by Julian Heymes, Filippo Baruffaldi, Anna Bergamaschi, Martin Brückner, Maria Carulla, Roberto Dinapoli, Simon Ebner, Khalil Ferjaoui, Erik Fröjdh, Viveka Gautam, Dominic Greiffenberg, Shqipe Hasanaj, Viktoria Hinger, Thomas King, Pawel Kozłowski, Shuqi Li, Carlos Lopez-Cuenca, Alice Mazzoleni, Davide Mezza, Konstantinos Moustakas, Aldo Mozzanica, Martin Müller, Jonathan Mulvey, Jan Navrátil, Kirsty A. Paton, Christian Ruder, Bernd Schmitt, Patrick Sieberer, Dhanya Thattil, Xiangyu Xie, Jiaguo Zhang

“…With the evolution of synchrotron light sources to fourth generation (diffraction-limited storage rings), the brilliance is increased by several orders of magnitude compared to third generation facilities. …”
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Experimental and simulation investigation on flow structures and energy transfer of rectangular jets with different aspect-ratios in crossflow by Jue Wang (王珏), Shixuan Yu (余师漩), Gang Bai (白刚), Cheng Jiang (蒋诚), Jiayu Kang (康珈瑜)

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Optimizing radiation monitoring networks to improve emergency response strategies during nuclear power plant accidents by Allan Gellenoncourt, Ali Ayoub, Haruko M. Wainwright

“…GPCAM (Gaussian Process for Continuous-time Acquisition of Measurements) is then used to capture the heterogeneity of radiation levels by sparse monitoring points, and to optimize their locations. We consider three different scenarios: (a) a single static spatial distribution of the radiation levels, (b) the temporal evolution of the distribution within a single release scenario for mobile sensor deployment, and (c) ensemble optimization with variable metrological conditions for assessing risks and emergency responses at a particular site a priori. …”
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Optimal Economic Dispatch Strategy for Cascade Hydropower Stations Considering Electric Energy and Peak Regulation Markets by Fan Liu, Wentao Huang, Jingjing Ma, Jun He, Can Lv, Yukun Yang

“…Specifically, firstly, the strategy adopts multi-objective optimization. The objective function takes into account the generation capacity of the cascade hydropower stations, the benefits of the EEM, the influence of the spot market, the compensatory benefits of peaking, and the sharing expenses of peaking; secondly, the constraints at the level of the power grid, the level of the cascade hydropower stations, and the level of the market are taken into account comprehensively, and the Harris Hawk Algorithm is used to solve the model; lastly, by comparing different schemes, it is observed that under varying inflow conditions, the proposed dispatch strategy in this paper yields slightly lower revenue in the EEM than other schemes. …”
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Precision-engineered mRNA vaccines: antigen design, structural optimization, and programmable delivery for emerging pathogens by Yanyu Zhang, Junchi Li, Zihan Wang, Yu Kuang, Songli Li, Xiaojia Wang

“…This study provides a detailed explanation of antigen optimization strategies for different types of mRNA vaccines and explores the potential applications of broad-spectrum and combination mRNA vaccines in human and animal pathogens. …”
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Development and Optimization of a Novel Semi-Submersible Floater for Floating Wind Turbines in the South China Sea by Yiming Zhong, Wenze Liu, Wei Shi, Xin Li, Shuaishuai Wang, Constantine Michailides

“…Using a differential evolution algorithm, the optimization process adjusts column diameter and spacing while considering motion response and steel usage constraints. …”
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Machine learning enhanced metal 3D printing: high throughput optimization and material transfer extensibility by Yuanjie Zhang, Cheng Lin, Yuan Tian, Jianbao Gao, Bo Song, Hao Zhang, Min Wang, Kechen Song, Binghui Deng, Dezhen Xue, Yonggang Yao, Yusheng Shi, Kun Kelvin Fu

“…The high throughput methodologies are mostly on obtaining the printed samples and their structural and physical properties, while ML is used for data analysis by model building for prediction (optimization), and understanding. For 316L stainless steel, we concurrently printed 54 samples with different parameters and subjected them to parallel tests to generate an extensive dataset for ML analysis. …”
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