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  1. 1201

    Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

    Published 2021-01-01
    “…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
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  2. 1202

    An approach to the conservation of the endangered yew (Taxus baccata L.) by optimizing callus culture for taxol production by Marziyeh Sarmadi, Naser Karimi, Mohammad Hossein Mirjalili

    Published 2018-12-01
    “…It is one of the most important sources of taxol, an anti-cancer compound. This plant is an endangered species due to its low growth and regeneration and also over-harvesting. …”
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  3. 1203

    Research on Multi-Machine Pre-Synchronization Control and Optimization Based on Parallel Recovery Black Start by Zhongping Ruan, Shuye Ding, Yizhi Chen

    Published 2025-03-01
    “…Simulation results show that the proposed method suppresses frequency overshoot and system disturbances during a multi-source black start, significantly enhancing microgrid restoration capability and operational stability.…”
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  4. 1204
  5. 1205

    Problems of optimization and the experience of making medical decisions at the admission of patients with thromboembolism of the branches of the pulmonary artery by M. A. Mel'nikov, S. E. Katorkin, M. Yu. Kushnarchuk, O. E. Kushnarchuk

    Published 2025-04-01
    “…Analysis of existing practices of making medical decisions upon admission of patients with PE to a multidisciplinary hospital, as well as development of recommendations for their optimization. Materials and methods. An analysis of modern Russian and foreign clinical guidelines, literary scientific sources, statistical reports, and data on medical care standards for multidisciplinary medical organizations concerning the organization of diagnostics and treatment of PE was conducted. …”
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  6. 1206

    Benchmark dataset and deep learning method for global tropical cyclone forecasting by Cheng Huang, Pan Mu, Jinglin Zhang, Sixian Chan, Shiqi Zhang, Hanting Yan, Shengyong Chen, Cong Bai

    Published 2025-07-01
    “…Comprehensive evaluations demonstrate that TCN M outperforms both existing deep learning methods and official meteorological forecasts across multiple metrics. …”
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  7. 1207

    Role conflict, satisfaction, and performance in administrative staff at public universities: The role of optimism and sex differences. by Pedro Antonio Díaz-Fúnez, Francisco Gabriel Martín-Martín, Ana Martínez-Díaz, Carmen Salvador-Ferrer, Chiara Consiglio, Miguel Ángel Mañas-Rodríguez

    Published 2025-01-01
    “…<h4>Background</h4>This study addresses a critical gap in the literature by examining how optimism can moderate the effects of role conflict specifically among administrative staff at public universities. …”
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  8. 1208

    A critical review on purification methods and applications of marine algal haloperoxidases by Abdellatif Rahim, Rania Benjamaa, Abdel Khalid Essamadi, Abdelbasset Chafik

    Published 2025-03-01
    “…Marine algae are a rich and underexplored source of haloperoxidases, enzymes with wide ranging applications in biocatalysis, pharmaceuticals, and environmental bioremediation due to their ability to catalyze the halogenation of organic compounds. …”
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  9. 1209

    Practical Evaluation Framework for Real-Time Multi-Object Tracking: Achieving Optimal and Realistic Performance by Jumabek Alikhanov, Dilshod Obidov, Mirsaid Abdurasulov, Hakil Kim

    Published 2025-01-01
    “…In contrast, those who are unaware of these optimizations may only achieve a HOTA score of 10%. This finding underscores the critical advantage offered by our evaluation method. …”
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  10. 1210
  11. 1211

    Synthesis and Electrochemical Performance of LiMnPO4 by Hydrothermal Method by Daichi Fujimoto, Yu Lei, Zheng-Hong Huang, Feiyu Kang, Junichi Kawamura

    Published 2014-01-01
    “…LiMnPO4 with olivinestructure which is the promising candidate for high voltage cathode material was synthesized by hydrothermal method. In order to synthesize high purity and well-defined LiMnPO4, several precursors for Li, Mn, and P sources and hydrothermal reaction parameters including temperature and [H2O]/[Mn] value are optimized. …”
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  12. 1212

    Heat Storage Decoupling Method Based on Coordinated Load Scheduling Model by Yi LEI, Mingzhen LIU, Kaimin LIN

    Published 2019-07-01
    “…The controllable heat storage electric boilers are used in this paper as peak regulation and dispatch resources, in order to reduce the forced output of CHP and get a lower load peak and a higher load valley when it's hard to regulate the peak load, and to increase the wind power accommodation capacity of power grid in winter, and to form a load-dispatching model featuring source-load coordination. The power-heat coupling characteristics of CHP units are firstly studied; and then a heat-power decoupling scheme is formulated for wind power-heat storage compensation, and a multi-objective load-dispatching model is built with the objective of minimizing both the operation cost and pollutant emission of the power system; finally, the corrected multi-objective particle swarm optimization algorithm is used to solve the model, and the diversity of the Pareto set is maintained by using niche method. …”
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  13. 1213
  14. 1214

    An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis by Yujie Zhang, Jian Feng, Shanyuan Wang

    Published 2025-01-01
    “…Fault diagnosis of transformers based on a clustering algorithm primarily utilizes the proportional data of dissolved gases as features, which have not considered abundant gas ratio features, and those clustering methods are prone to invalid clustering. In order to solve those problems, this paper uses more features as information sources of power transformer diagnosis based on clustering method. …”
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  15. 1215

    Extraction and Analytical Methods for the Characterization of Polyphenols in Marine Microalgae: A Review by Gabriela Bermudez, Cristina Terenzi, Francesca Medri, Vincenza Andrisano, Serena Montanari

    Published 2024-11-01
    “…This review provides a comprehensive comparison of traditional and cutting-edge extraction and analytical procedures applied for polyphenolic characterization in marine microalgae over the past 26 years, with a unique perspective on optimizing their recovery and identification. It addresses (I) cell disruption techniques, including bead milling, high-speed homogenization, pulsed electric field, ultrasonication, microwave, freeze-thawing, and enzymatic/chemical hydrolysis; (II) extraction techniques, such as solid–liquid extraction, ultrasound and microwave-assisted extraction, pressurized-liquid extraction, and supercritical CO<sub>2</sub>; (III) analytical methods, including total phenolic and flavonoid content assays and advanced chromatographic techniques like GC-MS, HPLC-DAD, and HPLC-MS. …”
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  16. 1216

    Preparation and photoelectric properties of Si:B nanowires with thermal evaporation method. by Yang Feng, Ping Liang, Ziwen Xia, Weiye Yang, Hongyan Peng, Shihua Zhao

    Published 2025-01-01
    “…We have successfully prepared a significant number of nanowires from non-toxic silicon sources. Compared to the SiO silicon source used in most other articles, our preparation method is much safer. …”
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  17. 1217

    The justification of the optimal composition and research of a local hemostatic agent based on naturally occurring polysaccharides by V. V. Hladyshev, S. І. Sоkolovskyi, I. V. Sobko, Ugіs Kletnieks, Audrius Butkevichius

    Published 2023-07-01
    “…This composition is based on natural saccharides and incorporates a complex of antiseptic and wound-healing substances derived from natural and synthetic sources. The formulation of Plantor demonstrates optimal consistency, biopharmaceutical properties, and pharmacotechnological characteristics. …”
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  18. 1218

    Research on influencing factors and application of phosphorus recovery by induced crystallization method by QI Zhen, LIU Rupeng, XU Linxu, FANG Jinfeng, ZHU Weichen, FAN Haoyu, QIAO Yimu

    Published 2024-09-01
    “…Finally, the development prospects and optimization of process application conditions for the recovery and utilization of phosphorus resources by induced crystallization method were discussed.…”
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  19. 1219

    A Rail Profile Measurement Method Based on Polarization Fusion Imaging by Qiang Han, Xinxin Zhao, Jing Shi, Shengchun Wang, Peng Dai, Ning Wang, Le Wang

    Published 2025-05-01
    “…A polarization image data fusion algorithm based on Segmented Random Sample Consensus (S-RANSAC) is designed using these images as data sources, and the optimal rail profile fitting curve is obtained. …”
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  20. 1220

    The Optical Approaches to Monitor Biomass Ethanol Productions with Optical Microscopic Methods by Huipeng Gao, Xiaoxiao Li, Xianting Zhang, Rui Li, Hsiang-Chen Chui, Quan Zhang

    Published 2024-12-01
    “…These methods provide insights into the factors driving high production costs, enabling targeted improvements. …”
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