Queue Intensity Adaptive Signal Control for Isolated Intersection Based on Vehicle Trajectory Data by Juyuan Yin, Peng Chen, Keshuang Tang, Jian Sun

“…QIA algorithm optimizes phase sequence and green time simultaneously. …”
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Continuous Train Positioning Using Visible Light Communication Assisted with Zero Velocity Update by Yanpeng ZHANG, Rongrong ZHANG, Nan MENG, Bingqing ZHANG, Xia XIAO

“…The proposed method can improve the accuracy of train positioning in tunnel environments and provide a reference for autonomous train positioning of CBTC systems toward vehicle-to-vehicle communication.Methods This study uses the LED light sources on the tunnel wall as the sending ends of VLC, while the binocular complementary metal-oxide-semiconductor (CMOS) camera fixed on the top carrier platform of the train head serves as the receiving end. …”
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Inverse design of 3D nanophotonic devices with structural integrity using auxiliary thermal solvers by Kuster Oliver, Augenstein Yannick, Hernández Roberto Narváez, Rockstuhl Carsten, Sturges Thomas Jebb

“…This work introduces a multi-objective optimization method to address these challenges in 3D nanophotonic designs. …”
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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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Effect of Solvent Pre-Treatment on the Leaching of Copper During Printed Circuit Board Recycling by Ahmed Tarek Ismail Mohamed, Giuliana Schimperna, Gianluca Cantoni, Francesca Demichelis, Debora Fino, Sara Perucchini, Francesca Rubertelli, Francesco Laviano

“…Printed circuit boards (PCBs) are fundamental components of electronic devices, acting as an important source of various valuable metals such as copper, gold, and silver. …”
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Research and Engineering Practice of Var-Voltage Control in Primary and Distribution Networks Considering the Reactive Power Regulation Capability of Distributed PV Systems by Haiyun Wang, Qian Chen, Linyu Zhang, Xiyu Yin, Zhijian Zhang, Huayue Wei, Xiaoyue Chen

“…Through the analysis of actual operation cases in a regional power grid, the results demonstrate a reduction in network loss by 171.14 kW through voltage adjustment, validating the effectiveness of the proposed strategy. This method fully leverages the reactive power regulation capability of distributed renewable energy sources, reduces the operational frequency of reactive power equipment in substations, and synergizes with the AVC system to achieve optimal power grid operation.…”
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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 employed a directed differentiation protocol for muscle stem cells (MuSCs), a promising cell source for the regenerative therapy of muscular dystrophy. …”
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Chemometrics to connect feedstock quality, process settings and calorific value of hydrochar through infrared spectra by Álvaro Amado-Fierro, Tim Offermans, Jeroen Jansen, Teresa A. Centeno, María A. Díez

“…The current urgent need for clean energy has sparked interest in hydrothermal carbonization (HTC) as a sustainable avenue to convert high moisture biomass wastes into an efficient bioenergy source. Without destructive methodologies and offering distinct advantages (e.g. real-time analysis) over traditional assessments, chemometric methods coupled to Fourier Transform Infrared Spectroscopy (FTIR) is presented as an innovative approach for a rapid assessment of the higher heating value (HHV) of hydrochars. …”
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Innovative Application Strategies of Light-Emitting Diodes in Protected Horticulture by Xinying Liu, Qiying Sun, Zheng Wang, Jie He, Xin Liu, Yaliang Xu, Qingming Li

“…However, the scientific explanation of the above lighting strategies remains to be clearly revealed, providing theoretical support for the further optimization of conducting parameters. This review summarizes the physiological effects of different lighting strategies on crop cultivation and illustrates their future application in facility agriculture, aiming to provide novel methods for elevating the energy utilization efficiency and lowering the cost in facility agriculture using artificial light.…”
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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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Comprehensive Insights into Artificial Intelligence for Dental Lesion Detection: A Systematic Review by Kubra Demir, Ozlem Sokmen, Isil Karabey Aksakalli, Kubra Torenek-Agirman

“…<b>Background/Objectives:</b> The growing demand for artificial intelligence (AI) in healthcare is driven by the need for more robust and automated diagnostic systems. These methods not only provide accurate diagnoses but also promise to enhance operational efficiency and optimize resource utilization in clinical workflows. …”
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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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Ecological network construction and community resilience analysis of nocturnal birds: a case study of Hangzhou City, Zhejiang Province, China by Yang Jin, Mingkan Zhang, Danying Yan, Kun Li, Chao Zhou, Xi Chen

“…The study identified 133 ecological sources, 378 ecological corridors, and 5 communities. …”
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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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End-to-end deep learning pipeline for real-time Bragg peak segmentation: from training to large-scale deployment by Cong Wang, Valerio Mariani, Frédéric Poitevin, Matthew Avaylon, Jana Thayer

“…Using this integrated approach, our pipeline achieves accuracy comparable to traditional methods tuned by human experts while eliminating the need for experiment-specific parameter tuning. …”
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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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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…With the continuous development of integrated energy systems and the flexible interaction between load side and source side resources，existing single load forecasting methods are difficult to grasp the coupling characteristics between multiple loads，resulting in insufficient accuracy in the prediction of multiple loads in integrated energy 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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From Reactive to Proactive: Advances Leading the Paradigm Shift in Cholecystitis Management by Tamer A. Addissouky

“…Ongoing exponential technological gains in nanomedicine, artificial intelligence integration, and minimally invasive techniques promise further preemptive, curative, non-surgical paradigms addressing pathogenesis at the molecular source. Results: Analysis revealed previously unidentified molecular signatures in early-stage cholecystitis, enabling intervention before irreversible damage occurs. …”
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