Distributed robust planning for new power system considering uncertainty and frequency security by Xinxin Zheng, Dahai Zhang, Zhaohong Bie, Xue Wu

“…The integration of renewable energy into the grid has increased the uncertainty of source load, posing challenges to the frequency safety of the power system. …”
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Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification. by M Amudha, K Brindha

“…This model proposes to address the drawbacks of conventional CNNs, which are resource-intensive and time-consuming, by using optimization methods that reduce processing complexity and enhance classification accuracy. …”
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Screening of a lignin decomposing bacterium and its application in bamboo biomechanical pulping. by Yan Li, Jia Zhang, Juan Li, Ling You, Tao Wang, Zhige Tian, Wenhao Chen

“…Therefore, this is a feasible preparation method. This study provides a new microbial source for lignin degradation.…”
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Size-dependent catalytic and antibacterial effects of phytogenically synthesized silver nanoparticles

“…(Malvaceae) (HH-AgNPs). The optimization process including the four main parameters of extract-to-silver volume ratio, silver ion concentrations, reaction time, and reaction temperature, was carried out using Taguchi method. …”
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Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network by Ji Qi, Pengrui Li, Yifan Dong, Zhicheng Fu, Zhanguo Wang, Yong Yi, Jie Tian

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Collaborative Scheduling Framework for Post-Disaster Restoration: Integrating Electric Vehicles and Traffic Dynamics in Waterlogging Scenarios by Hao Dai, Ziyu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Liang He, Longlong Shang, Dafu Liu, Jiaju Shi, Ziwen Xu, Chen Chen

“…This study proposes a collaborative scheduling framework for post-disaster restoration in waterlogging scenarios, addressing the impact of waterlogging on both transportation and distribution systems. The method integrates electric vehicles (EVs), mobile power sources (MPSs), and repair crews (RCs) into a unified optimization model, leveraging an improved semi-dynamic traffic assignment (SDTA) model that accounts for temporal variations in road accessibility due to water depth. …”
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Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning by Miki Arai Hojo, Taku Tsuzuki, Yosuke Ozawa, Toshiyuki Araki, Hidetoshi Sakurai

“…We selected Fast Fourier transform (FFT) as the feature extraction method and confirmed that it captures the characteristics of cells during differentiation. …”
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A Pocket Assay Grouting Technology for Rock Burst Control under Huge-Thick Conglomerate by Junwei Shi, Xiangrui Meng, Jifang Du, Yu Dong, Ying Wang

“…The grouting technology is proved to effectively limit the bending settlement of conglomerate, control stress concentration of conglomerate, and improve the structure of the source of rock burst, which is an effective method for the control of huge-thick conglomerate. …”
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Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin by Xue Luning, Tian Mingliang, Zhao Juncheng

“…The mechanical state of the physical pipeline is mapped in real time by the digital twin, the numerical simulation and multi-source monitoring data are integrated, and the parameters of the twin model are dynamically optimized by combining the optimization algorithms of Particle Swarm Optimization (PSO) and Support Vector Machine (SVM), so as to realize the real-time prediction of the pipeline stress state and the dynamic updating of the disaster scenario. …”
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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

“…By capturing both spatial relationships and temporal patterns, the proposed framework ensures comprehensive insights into system behavior, enabling proactive decision-making and operational optimization. Experimental results on real-world railway datasets demonstrate superior performance in accuracy, scalability, and interpretability compared to traditional methods, underscoring the potential of our approach for next-generation intelligent railway systems. …”
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Runoff Evolution Patterns and Attribution Analysis in Xiliu Songhua River Basin by YAN Yuliang, DING Hong, ZHANG Jiayue, GAO Yu

“…Combined with multi-source methods such as spatial interpolation of meteorological data, Pettitt mutation test, Mann-Kendall trend test, and land use transfer matrix, the synergistic effect of climate factors and underlying surface parameters was systematically evaluated. …”
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Plant-mediated nickel oxide nanoparticles show species-dependent antibacterial, antioxidant, anti-inflammatory and antidiabetic activities by Alaa Hassan Said, Fatma. Shaibah, M. Moustafa, Rokaia B. Elamary

“…Our results open the door for additional in vivo testing and process optimization while validating green synthesis as an environmentally responsible method of producing NiO nanoparticles with adjustable bioactivities.…”
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Runoff Evolution Patterns and Attribution Analysis in Xiliu Songhua River Basin by YAN Yuliang, DING Hong, ZHANG Jiayue, GAO Yu

“…Combined with multi-source methods such as spatial interpolation of meteorological data, Pettitt mutation test, Mann-Kendall trend test, and land use transfer matrix, the synergistic effect of climate factors and underlying surface parameters was systematically evaluated. …”
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Single-particle-thick microstructures fabricated through controlled withdrawal of particles from a dispersion meniscus by Y. Harkavyi, G. Tiwari, Z. Rozynek

“…The physical mechanisms governing structure formation are examined, and key sources of instability are identified to support process optimization. …”
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Hybrid RSA-ROA Scheduling Algorithm for Minimization of Power Loss and Improving the Renewable with Sustainable Energy Harvesting in Power System by Cuddapah Anitha, Virendra Swaroop Sangtani, Ajay Kumar Bansal, Mahaveerakannan R., R. Rajesh Sharma, Saravanan M. S.

“…To maximize the harvesting of renewable energy sources (RES) and minimize power scheme losses, this study provides an optimal generation scheduling strategy for a power scheme combined with distributed generation (DG) and sustainable energy storage systems (ESSs). …”
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Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

“…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
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The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China by Mingzheng Deng, Xiangyi Lu, Ruibin Tong, Yan Xue, Shuaihang Shi, Rui Guo

“…Despite growing interest in this area, the relationship between green finance and the optimization of end-use energy consumption remains underexplored, particularly in the context of regional disparities.MethodsThis study investigates the impact of green finance on end-use energy consumption structure across 30 provinces in China from 2014 to 2021. …”
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Boosting the efficiency of narrowband THz radiators via three-dimensional emission collection by Tinglian Zhang, Rasmus Ischebeck, Uwe Niedermayer, Thomas Schietinger, Pavle Juranić

“…The demand for high-power, narrowband, and tunable THz radiation sources is steadily increasing. Smith-Purcell radiation offers a compact method for resonantly generating narrowband THz sources with notable advantages over other approaches, though the power output still requires improvement. …”
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A Brief Review on the Development Progress of High-Efficiency Klystrons by Soumaya Mandal, Ayan Kumar Bandyopadhyay, Chaitali Koley, Debasish Pal, Taha Selim Ustun, Ahmet Onen

“…This paper presents a brief review on recently emerging bunching formation techniques and configurations, including the Core Oscillation Method (COM), Core Stabilization Method (CSM), Bunch Alignment Collection method (BAC), Kladistron principle, Multigap output structures, novel architecture of Two Stage Multibeam klystrons, and related optimization techniques. …”
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Artificial Bee Colony Algorithm Based on the Division Between Exploration and Exploitation and Its Application in Esophageal Cancer Prediction by WANG Yingcong, YAN Jun, SUN Junwei, WANG Yanfeng

“…Considering that the random initialization method of scout bees discarded the previous search experience, and the search equation of employed and onlooker bees was singular, a neighborhood search equation was designed for scout bees. …”
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