Review on key technologies for coordinated operation of microgrid cluster by LOU Guannan, WANG Lei, LIN Da, DU Yuhua

“…With the large-scale integration of distributed renewable energy （DRE）， the operational complexity and control difficulty of microgrid cluster significantly increase. A reasonable multi-source coordinated control strategy is critical to ensuring the stable， reliable， and efficient operation of the system and is also the foundation for achieving optimal configuration and intelligent scheduling. …”
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Sensor-Generated In Situ Data Management for Smart Grids: Dynamic Optimization Driven by Double Deep Q-Network with Prioritized Experience Replay by Peiying Zhang, Siyi Li, Dandan Li, Qingyang Ding, Lei Shi

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Optimization of sizing and energy management in hybrid energy storage systems for transient suppression in ship power systems under adverse sea conditions by Yu Ding, Shengping Ma, Guozheng Liu, Congbiao Sui, La Xiang

“…Considering that the power distribution and capacity sizing of HESS are highly related to each other, a multi-objective joint optimization method based on Multi-objective pelican optimization algorithm is proposed to obtain the optimal number of Li-ion battery and supercapacitor and the optimal power distribution strategy among the three-source powertrain for adverse sea conditions. …”
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Screening of microfungi for lipolytic activity and optimization of process parameters in lipase production by solid substrate fermentation using selected microfungi (Penicillium au... by Meltem Çakmak, Halide Aydoğdu

“…In addition, SSF culture media conditions for fungal lipase production were optimized. Optimum fermentation conditions were found as; 6 days of incubation time, 25oC incubation temperature, moisturizing liquid pH: 5.5 (distilled water), initial moisture level 75% (w/v), initial inoculum concentration 1 mL (1x106 spores/mL) and 1% sesame oil as carbon source. …”
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Motor Fault Diagnosis Under Strong Background Noise Based on Parameter-Optimized Feature Mode Decomposition and Spatial–Temporal Features Fusion by Jingcan Wang, Yiping Yuan, Fangqi Shen, Caifeng Chen

“…According to the experimental results, the average accuracies of the proposed method were 97.7% and 93.38% for the noise-added CWRU bearing fault dataset and the actual operation dataset of the mine motor, respectively, which are significantly better than those of similar methods, showing that the approach in this study is superior in fault feature extraction and identification.…”
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Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer by Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu

“…We propose an ensemble machine learning-based pre-trained annotation framework that integrates gradient boosting and genetic optimization for robust feature selection. The proposed method uses ensemble learning to enhance annotation accuracy under data scarcity, addressing limitations in existing supervised methods by leveraging a combination of multiple annotated datasets and feature alignment strategies. …”
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Simulation study of the influence of water equivalent ratio energy dependence of absorber materials on measurement of multilayer ionization chamber by GU Shuaizhe, CHEN Zhiling, LIN Ye, LIU Qi, BAI Haobo, ZOU Yuhang, LI Xiufang, LI Deming

“…BackgroundThe Multilayer Ionization Chamber (MLIC) is an instrument in rapidly measuring the proton depth dose distribution, which is crucial for enhancing the efficiency of beam commissioning and daily quality assurance in treatment rooms.PurposeThis study aims to investigate the impact of the Water Equivalent Ratio (WER) energy dependence of various absorber materials on MLIC measurements, thereby improving the accuracy of depth dose distribution measurements.MethodsBased on the fixed beam source parameters in the beam therapy room of Shanghai Advanced Proton Facility (SAPT), a physical model of MLIC was constructed using Monte-Carlo method. …”
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Geological disaster risk assessment based on remote sensing, GIS, and a multi-strategy improved GWO-optimized Elman neural network by Kuayue Chen, Fuhong Bai, Ting Wang, Yingmei Su, Baoyun Wang

“…To improve the accuracy and intelligence of geological disaster risk assessment, this study proposes a novel method based on a Multi-strategy Improved Grey Wolf Optimization algorithm combined with the Elman Neural Network (MIGWO-Elman). …”
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Optimization Strategies for Student Scientific Publications in Islamic Higher Education Institutions to Enhance Academic Competence Based on Outcome-Based Education (OBE) by Abil Fida Muhammad Qois Al Hadi, Fadhilla Nangroe Anggraini Anggraini, Linda Asmara, Latifah Insani Muslimah Murni, Muhammad Fathi Salim

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A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…Finally, an attention mechanism is employed to identify important information from the outputs of the BiGRU model, and the Grid Search (GS) method is used to optimize the BiGRU-Attention model, yielding optimal predictions. …”
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Optimizing 3D seismic survey geometries using ray tracing and illumination modeling: A case study from Penobscot field by Kumar Pradeep, Narayan Satya, Ai Hanbing, Abdelrahman Kamal, Pratap Birendra, Fnais Mohammed S.

“…The WF construction approach assimilates elastic wave propagation through a heterogeneous and geologically complex Earth medium. This method involves constructing an elastic Earth model with inhomogeneous properties and the propagation of elastic wavefields through the model by strategically positioning sources and receivers in accordance with the designed survey geometry. …”
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Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

“…Review methods Systematic review and meta-analysis for diagnostic accuracy. …”
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Fast Frequency Control Strategy Based on Worst-Case Network Attack Perception by Wentao Xu, Zhenghang Song, Peiyuan Guan

“…A fast frequency control (FFC) strategy using the proximal policy optimization based on worst-case network attack perception (worst-case PPO) algorithm is proposed to address the complexity of fast frequency control in power systems and the risks posed by network attacks. …”
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Research on the Variable Factors Influencing the Vitality of Commercial Districts Based on the SOR Theory Model by Qinghua Zhou, Yubo Wang

“…Based on the SOR (stimulus–organism–response) theoretical model, this study integrates methods including space syntax analysis, POI diversity measurement, streetscape semantic segmentation, and kernel density estimation. …”
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Multi-objective synergistic optimization of closed Brayton cycle superstructure for thermal protection system of high-Mach-number air-breathing vehicles by Chendi Yang, Hang Pu, Lin Mu, Lin Zhou, Junjiang Bao, Yining Zhang, Ming Dong

“…A new design challenge arises from the trade-off between the cooling capability and thermodynamic performance of the Brayton cycle system under a finite cold source constraint. In this study, a multi-objective synergistic optimization of Brayton cycle configurations, working fluids, and design parameters was investigated using the superstructure method. …”
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Embracing open innovation in hospitality management: Leveraging AI-driven dynamic scheduling systems for complex resource optimization and enhanced guest satisfaction by Rapeepan Pitakaso, Paulina Golinska-Dawson, Peerawat Luesak, Thanatkij Srichok, Surajet Khonjun

“…We conducted a pilot implementation at a hotel in Ubon Ratchathani Province, Thailand, using a mixed-method approach that combined quantitative metrics with qualitative feedback. …”
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A Hybrid Approach for Reachability Analysis of Complex Software Systems Using Fuzzy Adaptive Particle Swarm Optimization Algorithm and Rule Composition by Nahid Salimi, Seyfollah Soleimani, Vahid Rafe, Davood Khodadad

“…Furthermore, it explored 32.7% fewer states on average than the hybrid method based on Particle Swarm Optimization and Gravitational Search Algorithms, and 57.4% fewer states compared to Genetic Algorithms, indicating improved search efficiency. …”
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Optimizing Xenograft Models for Breast Cancer: A Comparative Analysis of Cell-Derived and Patient-Derived Implantation Techniques in Pre-Clinical Research by Khairani AF, Harmonia S, Chou Y, Alfarafisa NM, Ramadhanti J

“…The inclusion criteria ensured relevant English sources were available in full text, while the exclusion criteria eliminated certain types of articles and inadequately comprehensive studies.Results: Subcutaneous and orthotopic implantation are critical methods for xenograft models in cancer research. …”
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Response surface optimization for cellulase production from Enterococcus faecium and Stutzerimonas stutzeri isolated from Gossypium arboretum and Solanum melongena soil by Mohammedfaizan Shaikh, Naureenbanu Makarani, Krishan Kumar

“…Abstract The rapid utilization of fossil fuel-based energy sources increased demand for alternate sustainable energy sources. …”
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The PM_2.5-Bound Polycyclic Aromatic Hydrocarbon Behavior in Indoor and Outdoor Environments, Part III: Role of Environmental Settings in Elevating Indoor Concentrations... by Gordana Jovanović, Mirjana Perišić, Timea Bezdan, Svetlana Stanišić, Kristina Radusin, Aleksandar Popović, Andreja Stojić

“…Unlike traditional source apportionment methods that assume linear source mixing, our approach integrates nonlinear interactions and contextual variables, such as meteorological conditions and outdoor pollutants, to better capture indoor air quality dynamics. …”
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