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  1. 601

    Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

    Published 2025-06-01
    “…Combining convolutional neural networks (CNNs) and support vector machines (SVMs) for prediction, the fire-source location prediction model with temperature, smoke, and CO concentration as feature quantities was constructed, and the hyperparameters affecting the model accuracy and generalisation were optimised by the Crested Porcupine Optimizer (CPO) algorithm. …”
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  2. 602

    Development and validation of microwave-assisted extraction for phenolic compound profiling in diverse oyster mushrooms (Pleurotus spp.) sourced from various geographical regions by M Umar Harun, Miguel Palma, Widiastuti Setyaningsih

    Published 2025-04-01
    “…This study aimed to develop and validate a microwave-assisted extraction (MAE) method for profiling phenolic compounds in a diverse selection of oyster mushrooms (Pleurotus spp.) sourced from multiple geographical regions. …”
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  3. 603

    An innovative approach to monitoring non-point source pollution at a field scale: online monitoring system for continuous cropping with a serial pipeline by Peipei FENG, Gaofei YIN, Qingyi ZHU, Tongyang LI, Bin XI, Xiaoyuan XU, Huiqing JIAO, Hongda WEN, Lingling HUA, Wenchao LI

    Published 2025-09-01
    “…Although the established method, field experiment plots, was used effectively in the first and second national pollution source census in China. …”
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  4. 604
  5. 605

    Numerical Study of Integrating Thermal Insulation Local Bio-Sourced Materials into Walls and Roofs for Thermal Comfort Improvement in Buildings in a Tropical Climate by Kokou Dowou, Yawovi Nougbléga, Kokou Aménuvéla Toka, Komi Apélété Amou

    Published 2025-01-01
    “…Thermal insulation is a reliable strategy for achieving optimal thermal comfort in built environments and is among the most effective energy-saving measures. …”
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  6. 606

    Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network by Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN

    Published 2024-11-01
    “…Ensuring precise control over melt density is imperative for achieving desired product characteristics and maintaining process stability in polymer blending operations.Methods The research proposes a novel methodological framework that integrates multi-source data fusion with a convolutional long short-term memory (LSTM) neural network architecture to address this challenge. …”
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  7. 607

    Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

    Published 2025-04-01
    “…The proposed method is capable of dynamically integrating and leveraging multi-source sample datasets, effectively addressing the challenges of sample data scarcity, label inconsistencies, and data structure disparities. …”
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    Article
  8. 608

    Fast Physical Random Bit Generation Based on a Broadband Chaotic Entropy Source Originated From a Filtered Feedback WRC-FPLD by Xi Tang, Guang-Qiong Xia, Can Ran, Tao Deng, Xiao-Dong Lin, Li Fan, Zi-Ye Gao, Gong-Ru Lin, Zheng-Mao Wu

    Published 2019-01-01
    “…Taking the broadband chaotic output from a weak-resonant-cavity Fabry–Perot laser diode (WRC-FPLD) under filtered feedback as a chaotic entropy source, we propose and experimentally demonstrate a scheme for generating fast physical random bits (PRBs) at a rate up to 240 Gbits/s. …”
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  9. 609

    A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

    Published 2025-08-01
    “…Subsequently, a high-dimensional feature set was developed using multi-source data, employing classifiers like random forest (RF), support vector machine (SVM), and Extreme Gradient Boosting (XGBoost) to classify forests/non-forests and five forest types, with subsequent accuracy assessment. …”
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  10. 610

    Numerical Solution to the Problem of Thermal Conductivity in a Porous Plate with a Topology of Triply Periodic Minimal Surfaces by K. V. Gubareva, A. V. Eremin

    Published 2025-03-01
    “…The analysis was performed using two methods: calculations in MathCAD based on the finite difference method, and modeling in ANSYS using the finite element method. …”
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  11. 611
  12. 612

    Revitalizing Astronomical Azimuth Determination: Integrating Modern Computing with Traditional Techniques by Luigi Barazzetti

    Published 2025-03-01
    “…This work aims to simplify these calculations by providing open-source Python scripts that automate the process. These scripts also simulate the achievable precision, allowing users to plan optimal observations in advance. …”
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  13. 613

    The Dispersion Measure and Scattering of Fast Radio Bursts: Contributions from Multicomponents, and Clues for the Intrinsic Properties by Jian-feng Mo, Weishan Zhu, Long-Long Feng

    Published 2025-01-01
    “…Scattering predominantly arises from the circumburst medium or the ISM and CGM of hosts, which cause a DM of ∼10 pc cm ^−3 . Using our optimal model, we estimate FRB redshifts with two methods: DM-only and combined DM– τ . …”
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  14. 614

    Water-Soluble Vitamins: Hypo- and Hypervitaminosis in Pediatric Population by Roberto Paparella, Fabiola Panvino, Lucia Leonardi, Ida Pucarelli, Michela Menghi, Ginevra Micangeli, Francesca Tarani, Marcello Niceta, Debora Rasio, Rouzha Pancheva, Marco Fiore, Luigi Tarani

    Published 2025-01-01
    “…This review explores the clinical importance of water-soluble vitamins, focusing on hypo- and hypervitaminosis in children. Methods: A narrative review of the recent literature on the sources, recommended intakes, deficiency symptoms, and potential toxicities associated with each water-soluble vitamin was conducted. …”
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  15. 615

    Study on Heat Transfer Characteristics of CSNS Decoupled Posioned Hydrogen Moderator by ZHU Ling-bo, LU Yi-ping, TONG Jian-fei, LU You-lian, LIANG Tian-jiao

    Published 2022-06-01
    “…The flow field distribution and thermal properties of supercritical hydrogen are crucial factors affecting the quality of neutrons output from Chinese. Spallation Neutron Source (CSNS), which may contribute to the optimization design of Decoupled Poisoned Hydrogen Moderator (DPHM). …”
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  16. 616

    Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression by Siqi MA, Zhong WANG

    Published 2022-08-01
    “…When there is correlation between harmonic sources, the proposed method can still achieve reasonable harmonic source location and harmonic responsibility division.…”
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  17. 617

    An Integrated Electricity–Gas–Heat Energy System Based on the Synergy of Long- and Short-Term Energy Storage by Min Zhang, Jinhao Wang, Huiqiang Zhi, Jun Zhao, Xiao Chang, Shifeng Zhang, Xiangyu Guo, Tengxin Wang

    Published 2024-12-01
    “…To cope with this challenge, hybrid energy storage systems, as flexible regulation schemes, are capable of balancing the supply and demand of the power system according to different timescales and power demands, and enhancing the efficiency and utilization of new energy sources. Therefore, this paper proposes an integrated energy system planning and optimization method based on hybrid energy storage. …”
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  18. 618

    High spatio-temporal resolution dynamic water monitoring using multi-source Chinese Gaofen imagery: a case study in the Eastern Nile Basin by Xiaoyan Nie, Jia Xu, Ying Ge, Wenyi Zhou

    Published 2025-05-01
    “…A robust adaptive threshold method considering boundary optimization was proposed to accurately extract water body information from GF-1and GF-6 WFV imagery. …”
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  19. 619
  20. 620

    Monte Carlo Simulation and Experimental Validation for Radiation Protection with Multiple Complex Source Terms and Deep Penetration for a Radioactive Liquid Waste Cementation Facil... by Wenqian Li, Xuegang Liu, Sheng Fang, Xueliang Fu, Kaiqiang Guo

    Published 2020-01-01
    “…From both of the Monte Carlo simulation and the experimental measurement, it can be drawn that, in the horizontal direction, with the increase of the drum number, the dose rate increases very little, while in the vertical direction, the increase of the dose rate is very obvious with the increase of the drum number. The complicated source term sampling methods, the optimization algorithm and variance reduction techniques, and the experimental verification can provide valuable references for the similar scattering problem in radiation protection and shielding design.…”
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