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    Review of the sources, distribution, and health risks of bisphenol compounds in environmental media in China
    WANG Yongfeng, YU Jingyuan, ZHANG Hao
    Shandong Science    2025, 38 (2): 13-27.   DOI: 10.3976/j.issn.1002-4026.20240103
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    Bisphenol A (BPA) is an endocrine-disrupting chemical that is widely used in the production of epoxy resins and polycarbonate plastics. Due to its potential harm to human health, its use has been restricted in many materials that come into contact with the human body. Other bisphenol compounds have emerged as alternatives, but they have similar structures and characteristics, with varying degrees of estrogenic activity and toxicity. With the rapid economic development in China, the demand for bisphenol compounds has been increasing, and so has the production capacity. The sources and distribution of bisphenol pollutants are emerging pollutants in various environmental media and human exposure to them in China deserve in-depth research. In this study, we reviewed the literature published in the past ten years (2014—2024), systematically summarized the sources and distribution patterns, human exposure levels, and health risks of bisphenol pollutants in various environmental media (surface water, sediments, and soil), and proposed various control measures and policy recommendations for bisphenol pollutants in China, aiming to provide a reference for the environmental risk control and environmental governance of bisphenol pollutants in China.

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    Research and application progress of phthalonitrile resin
    ZHU Guanglai, YU Yitao, LIU Qiang, LIU Haiming, HOU Yantao, XU Chao, ZHANG Wei, JIANG Chuanxing, LI Yuanyue, PAN Xinjing, LI Bing, WANG Zhenhua
    Shandong Science    2024, 37 (6): 83-93.   DOI: 10.3976/j.issn.1002-4026.20240029
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    Phthalonitrile resin is new type of high-temperature resistant thermosetting resin system that has attracted wide attention owing to its excellent thermal and oxidative stability, flame retardancy, and mechanical properties as well as low expansion coefficient, dielectric constant, and dielectric loss. To improve its manufacturability and meet stringent environmental performance requirements, extensive research has been conducted worldwide on the modification of the phthalonitrile system. This paper reviews the research progress of the phthalonitrile system from the aspects of molecular structure design and curing methods and mechanisms along with its applications in electrical components, adhesives, etc. Moreover, the paper discusses the opportunities and challenges faced by phthalonitrile as a new type of special functional resin material, aiming to provide insights for research in relevant fields.

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    Thermodynamic analysis of the regenerative cycle in an ammonia gas turbine
    SHEN Zhixuan, LIANG Shiqiang
    Shandong Science    2025, 38 (1): 64-73.   DOI: 10.3976/j.issn.1002-4026.20240041
    Abstract509)   HTML9)    PDF(pc) (3420KB)(214)       Save

    In the pursuit of bridging the energy demand gap and striving for a pristine environment, ammonia fuel has emerged as one of the most promising fuels of the future. Zero carbon emissions, high energy density, and low production and transportation costs make it a promising candidate. However, challenges persist regarding the overall efficiency of pure ammonia combustion. This paper proposes a regenerative cycle in an ammonia gas turbine that matches the reheat Rankine cycle, considering the maximum temperature of the exhaust gas from the turbine and phase transition temperature of liquid ammonia in the turbine cycle. We conducted a thermodynamic analysis and evaluated the system performance based on the first and second laws of thermodynamics and analyzed the influence of the inlet temperature and pressure of the ammonia gas turbine on the overall cycle performance. The results indicate that the combined cycle has improved the efficiency of the ammonia gas turbine by up to 33.38% and the maximum efficiency achieved by the combined thermodynamic cycle is 60.13%,when the inlet temperature of an ammonia gas turbine does not exceed 1 400 ℃ and the inlet pressure remains below 0.5 MPa. Furthermore, the combined cycle exhibits outstanding thermodynamic properties and energy recovery rates. Additionally, the efficiency of the regenerative cycle increases with increasing the inlet temperature and pressure of the ammonia gas turbine, provided that the inlet pressure does not exceed 5 MPa. New perspectives have been proposed to enhance the operational efficiency of ammonia-powered gas turbines and promote the efficient utilization of ammonia as a fuel. This study proposes novel perspectives towards enhancing the efficient utilization of ammonia fuel and the actual efficiency of ammonia gas turbine cycles, providing a forward-looking exploration for the energy utilization of ammonia gas turbine systems.

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    Object detection model YOLO-T for complex traffic scenarios
    LIU Yu, GAO Shangbing, ZHANG Qintao, ZHANG Yingying
    Shandong Science    2024, 37 (6): 104-115.   DOI: 10.3976/j.issn.1002-4026.20240047
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    To address the challenges posed by complex traffic scenarios, particularly congested roads where traffic objects are densely packed and often occlude each other and small-scale objects are detected inaccurately, a new object detection model called YOLO-T (You Only Look Once-Transformer) is proposed. First, the CTNet backbone network is introduced, which has a deeper network structure and multiscale feature extraction module compared with CSPDarknet53. Not only can it better learn the multilevel features of dense objects but can also improve the model’s ability to handle complex traffic scenarios. Moreover, it directs the model’s focus toward the feature information of small objects, thereby improving the detection performance for small-scale objects. Second, Vit-Block is incorporated, which integrates more features by parallelly combining convolution and Transformer. This approach balances the relevance of local and contextual information, thereby enhancing detection accuracy. Finally, the Reasonable module is added after the Neck network, introducing attention mechanisms to further improve the robustness of the object detection algorithm against complex scenarios and occluded objects. Experimental results indicate that compared with baseline algorithms, YOLO-T achieves a 1.92% and 12.78% increase in detection accuracy on the KITTI and BDD100K datasets, respectively. This enhancement effectively boosts detection performance in complex traffic scenarios and can assist drivers to better predict the behaviors of other vehicles, thus reducing the occurrence of traffic accidents.

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    Low-energy task-offloading method based on edge computing in internet of vehicles
    LI Lijuan, LI Yanqiang, TONG Xing, WANG Yong, ZHONG Zhibang
    Shandong Science    2025, 38 (1): 96-104.   DOI: 10.3976/j.issn.1002-4026.20240064
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    With the extensive development of intelligent transportation and eco-friendly travel, a low-energy task-offloading method based on edge computing in the internet of vehicles (IoV) is proposed to address the dual challenges of low-latency service demands and energy conservation in the IoV. In the context of multivehicle single-cell scenarios on public roads, this study explores the task-offloading requirements of vehicles in motion and systematically investigates the allocation of computational resources. To fully utilize computing resources, this study not only considers the computing power of vehicles but also introduces a new approach for offloading tasks to vehicle servers traveling in the same direction or parked along the roadside as well as to edge servers in roadside units. This enables the effective integration and efficient sharing of computing resources, thereby remarkably enhancing the processing capabilities of the IoV. Furthermore, this study employs an improved particle swarm optimization algorithm to optimize offloading power and task allocation ratios. Extensive simulation tests revealed that the proposed method significantly reduced the energy consumption of vehicle tasks and improved the service quality and energy efficiency of the IoV.It helps to promote green transportation and sustainable development, and lays a solid foundation for energy optimization and efficiency improvement of future intelligent transportation systems.

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    Six newly recorded plant species from Shandong Province
    LENG Zhenning, LIU Dan, BING Mengyao, HOU Yuanmian, HOU Yuantong
    Shandong Science    2024, 37 (5): 89-94.   DOI: 10.3976/j.issn.1002-4026.20240007
    Abstract341)   HTML6)    PDF(pc) (2563KB)(275)       Save

    To ascertain the current status of plant resources and biodiversity in the Yellow River, Yishu River, Nansi Lake Basin and Weifang in Shandong Province, a comprehensive and detailed investigation was conducted by combining field investigation, specimen collection, indoor classification, and anatomical identification. The results identified 1 194 species of vascular plants belonging to 587 genera and 155 families. Among these, 6 species, namely Teucrium japonicum, Euphorbia heyneana, Echinochloa colona, Commelina diffusa, Braya humilis, and Bidens maximowicziana, were newly recorded in Shandong Province. The key identification characteristics of these species are described in this study, and the distribution status and application value are also discussed. The discovery of these plants not only enriches the background data of plant resources and plant diversity in Shandong, but also is significancant to the study of the systematic classification, floristic plant geography, and distribution patterns of related families and genera.

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    Study on the process research and quality analysis of Osmanthus craft beer
    HAO Qian, MENG Dewen, LÜ Yuan, ZHAN Hangshan, WANG Chenghao, CHEN Siyou, LI Jie
    Shandong Science    2024, 37 (6): 59-66.   DOI: 10.3976/j.issn.1002-4026.20240018
    Abstract339)   HTML9)    PDF(pc) (2087KB)(414)       Save

    Craft beer has become a focus of attention for beer companies in recent years due to its unique flavor and mouthfeel, characterized by high malt concentration, alcohol content, and strong hop bitterness. Osmanthus, known for its pleasant and rich aroma, contains a large amount of active and healthy ingredients. Therefore, this paper aims to explore the difference in the quality of different Osmanthus content in craft beer. The process formulation of Osmanthus-infused craft beer is determined through the detection of physicochemical indicators, analysis of volatile components, and sensory evaluation. The experimental results show that the amount of Osmanthus added is positively correlated with the physicochemical indicators of craft beer, such as alcohol content, concentration, and acidity, while it is inversely proportional to fermentation. The volatile components of Osmanthus-infused craft beer are mainly alcohols and esters, contributing to a rich and intense aroma. Craft beer infused with 0.6% Osmanthus exhibits abundant and delicate foam, a refreshing and pure taste, a harmonious body, and no off-flavors or odors, presenting the typical aroma of Osmanthus.

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    A study based on network pharmacology and experimental verification exploring the mechanism of quercetin against colorectal cancer through the p53 signaling pathway
    HAN Huijie, LIU Hui, ZHAO Yongbo, WANG Songpo
    Shandong Science    2025, 38 (1): 32-43.   DOI: 10.3976/j.issn.1002-4026.20240052
    Abstract334)   HTML7)    PDF(pc) (4164KB)(273)       Save

    Based on network pharmacology, molecular docking, and in vitro experiments, this study explores the molecular mechanism of quercetin against colorectal cancer through the p53 signaling pathway. The drug targets quercetin, and the disease targets colorectal cancer, which was obtained via the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and Gene Cards database, respectively. The common drug and disease targets were mapped using a Venn diagram, and the protein-protein interaction network map was constructed with the help of the String database and Cytoscape_v3.7.2 software. At the same time, GO and KEGG enrichment analysis, molecular docking, core target expression, and survival analysis were also performed. Finally, cell proliferation activity, level of apoptosis, cell cycle arrest, and changes in the expression of core targets and key proteins of the p53 pathway were detected through cellular experiments. Network pharmacology suggests that AKT1 and TP53 are the core targets of quercetin against colorectal cancer, GO and KEGG analysis demonstrate that quercetin is mainly involved in the PI3K/Akt and p53 signaling pathways, molecular docking demonstrates that quercetin exhibits strong binding activity with the core targets AKT1 and TP53, and TP53 is found to be both highly expressed in colorectal cancerand also affect the survival and prognosis of patients with colorectal cancer. The results of cellular experiments show that quercetin can inhibit the proliferation of HCT-116 cells, induce G0/G1 cell-cycle arrest in HCT-116 cells, and promote apoptosis. This mechanism may regulate core targets such as TP53 and AKT1, activate the p53 signaling pathway, participate in the proliferation and apoptosis of HCT-116 cells, and thus function to resist colorectal cancer.

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    Evolution of the wetland ecological pattern and systematic ecological restoration in the Yellow River Delta
    CUI Baoshan, XIE Tian, WANG Qing, CHEN Cong
    Shandong Science    2025, 38 (2): 1-12.   DOI: 10.3976/j.issn.1002-4026.2025016
    Abstract320)   HTML44)    PDF(pc) (3307KB)(1001)       Save

    The Yellow River Delta is a dynamic-equilibrium wetland system formed via the complex interactions between the Yellow River and the ocean across multiple spatial and temporal scales. Owing to the frequent shifts in the Yellow River’s course, the deltaic wetlands have undergone a cyclical evolution involving rapid formation, development, erosion or succession, and disappearance or remnant persistence. Under the combined stresses of intensive human activities and climate change, the Yellow River Delta is facing a series of challenges, including water and sediment variability, vegetation degradation, species invasion, habitat fragmentation, and functional decline. Many existing ecological problems have emerged throughout the evolutionary process of the delta’s wetlands, characterized by overlapping impacts across multiple spatial and temporal dimensions. Consequently, conservation and restoration strategies based on isolated timeframes, specific sites, or individual elements are increasingly showing limitations in mitigating habitat fragmentation, biodiversity loss, and ecosystem degradation in the delta. This paper reviews extensive literature on ecological conservation and restoration in the Yellow River Delta, elucidating the influence mechanisms of biotic and abiotic disturbance factors on key ecological components, structures, and processes affecting the ecological functions of coastal wetlands. Moreover, it identifies the stability patterns of multifunctional wetland systems under multiple stressors, proposes an integrated optimization framework combining conservation, restoration, and regulation, and develops multiscale correlated and multiprocess coordinated conservation and restoration measures, thereby providing new insights for addressing ecosystem degradation in this region.

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    Prediction of anti-aging mechanism of Panax quinquefolius L. by network pharmacology and molecular docking
    FAN Wei, SHEN Chuanlin, ZHANG Xuanming, DU Xingshuo, ZHAN Wen, SUN Chen, JIN Meng, LI Xiaobin, ZHANG Sichen, SUN Botong, HE Qiuxia
    Shandong Science    2024, 37 (6): 42-50.   DOI: 10.3976/j.issn.1002-4026.20240005
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    The aim of this study was to explore the potential effective ingredients and mechanism of action of Panax quinquefolius L. in anti-aging based on network pharmacology and molecular docking. The anti-aging activity of P. quinquefolius L. was evaluated in a zebrafish aging model. The active ingredients of P. quinquefolius L. and their potential targets related to anti-aging were screened using databases, and protein-protein interaction networks (PPI) were mapped to screen core targets. Enrichment analysis and molecular docking verification of the core targets were performed. SA-β-Gal staining results showed that P. quinquefolius L. exerted significant anti-aging activity.Database screening identified 11 active ingredients and 53 potential core targets of P. quinquefolius L. in anti-aging, such as AKT1, STAT3, and JUN. The results of GO and KEGG analysis showed that the anti-aging effects of P. quinquefolius L. may involve factors including xenobiotic stimulus response, negative regulation of apoptotic processes, PI3K-AKT signaling pathway, ErbB signaling pathway. Molecular docking results showed that polyacetylene PQ-2 and PQ-2 were tightly bound with their core targets, and tight binding was also seen with AKT1 and HRAS with various active ingredients. P. quinquefolius L. may act on multiple targets such as AKT1, HRAS, and MAPK1 through polyacetylene PQ-2, PQ-2, and other ingredients, and then regulate multiple pathways such as endocrine resistance, ErbB signaling pathway, and other mechanisms to exert an anti-aging effect.Collectively, these dataprovide a theoretical basis for the application of P. quinquefolius L. in anti-aging.

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    Characterization and identification of chemical constituents in Sedum sarmentosum Bung based on UHPLC-Q-Exactive Orbitrap-MS technology
    ZHU Xinyi, YANG Chunguo, TIAN Haitao, HOU Miao, HAN Liwen, DENG Zhipeng
    Shandong Science    2024, 37 (5): 10-16.   DOI: 10.3976/j.issn.1002-4026.20230173
    Abstract318)   HTML10)    PDF(pc) (2810KB)(215)       Save

    To develop an ultra-performance liquid chromatograpy-quadrupole electrostatic field orbitrap high-resolution mass spectrometry(UHPLC-Q-Exactive Orbitrap-MS)method for characterization and identification of chemical constituents in Sedum sarmentosum Bung.The separation was performed using a Phenomenex Kinetex C18 column(2.1 mm×100 mm, 2.6 μm) with a mobile phase comprising acetonitrile and water containing 0.1% formic acid via gradient elution at a flow rate of 0.3 mL/min;the injection volume was 3.0 μL.Mass spectrometry was performed in positive and negative ionization modes with electrospray ionization. The chemical constituents were characterized and identified based on retention time, precise molecular weight, fragment ions,and comparison with the reference substances.The results of this study showed that 53 compounds were characterized and identified in Sedum sarmentosum Bung, including 25 flavonoids, 12 megastigmanes,11 organic acids,3 alkaloids and 2 other compounds.Five of these compounds were identified via comparison with reference compounds, and three compounds may have not been reported from Sedum sarmentosum Bung.The UHPLC-Q-Exactive Orbitrap-MS method proposed in this study can rapidly and comprehensively characterize the chemical constituents in Sedum sarmentosum Bung and provide a reference basis for the research on quality control and atherapeutic material basis of Sedum sarmentosum Bung.

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    To explore the pharmacodynamic substance basis of Cervi Cornus Colla based on cell membrane chromatography
    SUN Tiefeng, ZHAO Yu, WANG Ping, DING Xianglong, DING Lijun, WANG Jinguo
    Shandong Science    2024, 37 (5): 1-9.   DOI: 10.3976/j.issn.1002-4026.20230175
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    Cell membrane chromatography/ultrahigh-phase liquid chromatography-mass spectrometry (CMC/UPLC-MS) was used to screen the active ingredients, i.e., peptides, in the traditional Chinese medicine tablet Cervi cornus Colla, and the obtained spectra were analyzed using Maxquant software, Perseus software, and Uniprot database. Structures of these peptides were identified using Protein Data Bank, and their molecular properties such as their biological activity, adverse reactions, relative molecular mass, isoelectric point, and stability index were predicted using a bioinformatics platform. With an activity probability of 0.09, the peptides were identified as nontoxic, nonhemolytic, sensitizing, and highly hydrophilic, with a relative molecular mass of 1 541.68, a peptide chain length of 14, an isoelectric point of 3.92, and an instability index of 34.39.This method provides a feasible research approach for rapidly screening and identifying active ingredients(e.g., peptides and proteins) that exhibit pharmacological effects.

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    Optimization model and algorithm for multimodal railway-passenger transportation fares based on demand elasticity
    WANG Hongyin, YUAN Yuan, CUI Hongmeng, ZHENG Xuanchuan, SI Bingfeng
    Shandong Science    2024, 37 (5): 69-78.   DOI: 10.3976/j.issn.1002-4026.20230168
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    To improve the competitiveness of the railway-passenger transportation market and increase its operational revenue, this study investigates the multiobjective system optimization issue of multimodal railway-passenger transportation fares. A mathematical model was used to describe the equilibrium relationship among the demands of different railway-passenger transportation products. Sensitivity analysis was performed to provide a calculation method for the demand elasticity of multimodal railway-passenger transportation products, and a market demand function for multimodal railway-passenger transportation was formulated. Considering multiple optimization objectives such as market demand, passenger transportation revenue, and profit of railway-passenger transportation enterprises along with passenger transportation costs, we proposed a multiobjective bi-level planning model for describing the system optimization issue of multimodal railway-passenger transportation fares. Finally, we used real passenger transportation data of the railway line between Beijing and Tianjin to validate the proposed model. The results show that the proposed method can effectively balance multiple objectives such as passenger transportation demand, passenger transportation revenue, and profit, providing reference and support for railway-passenger transportation departments to develop scientifically reasonable fare systems in different market competition stages.

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    Biotechnologies used for the remediation of oil-field soils
    ZHOU Chang, LIANG Heng, HUANG Lilong, ZHANG Xiaofei, WANG Jianing, SONG Fanyong, FU Xiaowen
    Shandong Science    2025, 38 (2): 41-52.   DOI: 10.3976/j.issn.1002-4026.20240142
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    Petroleum contamination in oil-field soils poses significant risks to both regional environmental safty and human health. The use of biotechnologies for the remediation of contaminated oil-field soils offers advantages such as ecological sustainability, economic feasibility, and high efficiency. This paper reviews the research progress on various biotechnologies used for the remediation of contaminated oil-field soils. By descrribing the mechanisms and methods of various bioremediation technogies, the study analyzes and evaluates microbial remediation, phytoremediation, and their combined applications with surfactants, chemical oxidation, and electrokinetic remediation. It also highlights the importance of assessing the effectiveness of bioremediation strategies. This study provides valuable guidance for the promotion and application of bioremediation technologies aimed at improving the quality of oil-field soils and restoring the ecological environment.

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    Modeling, simulation and dynamic analysis of the energy stage of advanced adiabatic compressed air energy storage system
    LI Shuangjiang, XIAO Feng, CHEN Wei, ZHANG Bin, ZHU Qing, WANG Zijie, WU yang
    Shandong Science    2024, 37 (5): 42-54.   DOI: 10.3976/j.issn.1002-4026.20230171
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    Energy and environment problems are becoming increasingly prominent, renewable energy is developing rapidly, and its intermittency is one of the key problems restricting its development. Advanced adiabatic compressed air energy storage (AA-CAES) is an effective method to address the intermittency of renewable energy. In this study, a mathematical model for the energy storage stage of AA-CAES is established, and dynamic and sensitivity analysis of the conservation of energy, energy balance, and key parameters of each component are conducted. The results reveal that the proposed mathematical model follows the laws of conservation of energy and exergy balance; the exergy loss of the compressor is greater than that of the heat exchanger; energy and heat are mainly stored in heat transfer oil and high-pressure air, respectively; the deviation between compressor operating and design condition reduces the efficiency; the effect of the air flow rate and inlet temperature of the first-stage turbine on the operation time is greater than that of the storage temperature, adiabatic efficiency and stored air mass. This paper provides reference for adjusting parameters and optimizing energy storage system according to actual demand.

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    Exploring the medication rule of Chrysanthemum morifolium Ramat. and investigating the synergistic pharmacological activity of core combination herbs
    SUN Jingtian, LIU Feng, ZHANG Zhe, ZHANG Yufu, MA Xinhui, LI Qingjun, WANG Xiao, DONG Hongjing
    Shandong Science    2025, 38 (1): 1-8.   DOI: 10.3976/j.issn.1002-4026.20240051
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    To explore the medication rule and pharmacological activity of the core combination of chrysanthemi flos,the drug frequency, complex network and association rules of Chrysanthemum prescriptions were analyzed. The network pharmacology research method was used to construct the "herbs-key target-disease" of core combination drugs. Combined with the forecast results, an in vitro cell model was used to evaluate the pharmacological effects of chrysanthemi flos drug combinations. A total of 92 prescriptions containing chrysanthemi flos were obtained, involving 212 herbs, and 32 herbs with frequency greater than or equal to 10.The association rules showed that the sustain and confidence degree of chrysanthemi flos-Glycyrrhizae radix et rhizoma were the highest, and chrysanthemi flos-glycyrrhizae radix et rhizoma-schizonepetae herba, chrysanthemi flos-glycyrrhizae radix et rhizoma-schizonepetae herba-chuanxiong rhizoma, chrysanthemi flos-glycyrrhizae radix et rhizome-schizonepetae herba-chuanxiong rhizome-saposhnikoviae radix were next to each other, respectively. Network pharmacology analysis showed that the core drug combination of chrysanthemi flos-glycyrrhizae radix et rhizoma could treat tumors, digestive system diseases, nervous system diseases and other diseases. In vitro cell activity study showed that the combination of chrysanthemi flos and glycyrrhizae radix et rhizoma had a better inhibition rate on NO levels than the single drug. Compared with the single use of chrysanthemi flos, the combination of drugs showed more significantactivity, reflecting the scientificity of compatibility of TCM in clinic.

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    The spatiotemporal variation characteristics and climate impact analysis of vegetation NPP in Shandong Province
    LIU Jianjun, SUN Kaizheng, GONG Hualin, ZHU Yuling
    Shandong Science    2024, 37 (5): 103-110.   DOI: 10.3976/j.issn.1002-4026.20240008
    Abstract278)   HTML6)    PDF(pc) (5199KB)(454)       Save

    Based on MOD17A3 product data for Shandong Province from 2010 to 2022, this study uses univariate regression trend analysis, the coefficient of variation method, partial correlation analysis, and the Hurst index method to investigate the spatiotemporal distribution of vegetation net primary productivity (NPP) for the ecosystem of Shandong Province and analyze the impact of climate factors. Results demonstrate the fluctuating upward trend of vegetation NPP for Shandong Province in recent years, with an annual average of (398.03±150.20) g/(m2·a), higher than the national average and comparable with that of the Beijing-Tianjin-Hebei region. Vegetation NPP varies considerably across different areas. The vegetation NPP in the eastern coastal hilly area is higher than that in the inland plain area. With respect to interannual variation, the overall vegetation NPP in Shandong Province is relatively stable. With regard to the variation trend of vegetation NPP, the areas of positive and negative trends are equivalent. The trend analysis shows that 27.86% of the areas show an increasing trend, whereas 33.49% show a decreasing trend. However, the areas that have shifted from the increasing trend to the decreasing trend are mostly in woodland areas with high vegetation NPP levels, and further research is needed. In general, a positive correlation exists between vegetation NPP and climate factors. Temperature has a wider and more considerable impact on vegetation NPP than precipitation; moreover, the correlation between vegetation NPP and climate factors is poor in plain agricultural areas.

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    Distribution patterns and influencing factors of three types of soil extractable silicon in typical coastal wetlands
    JI Xiaohui, ZHAO Qingqing, ZHAN Haiyin, WANG Jianing, ZHANG Wen, HUANG Yujie, SONG Fanyong, WEI Xiaobing
    Shandong Science    2024, 37 (5): 95-102.   DOI: 10.3976/j.issn.1002-4026.20240048
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    As the second most abundant element on earth, silicon plays an important role in soil biogeochemical processes. However, the geochemical characteristics of soil silicon in different forms in coastal wetlands still need further investigation. In this study, we selected four typical coastal wetlands (nonflooding Phragmites australis, tidal P. australis, freshwater P. australis, and tidal Suaeda salsa wetlands) as sampling sites and collected soils from 0 to 20 cm depth. Furthermore, we determined oxalate-extractable silicon, dithionite-citrate-extractable silicon, pyrophosphate-extractable silicon and analyzed their soil physical and chemical properties, distribution patterns, and influencing factors in typical coastal wetlands. Results showed that dithionite-citrate-extractable silicon and pyrophosphate-extractable silicon showed no significant differences among four wetlands (p>0.05), while oxalate-extractable silicon in nonflooding P. australis wetlands was significantly lower than tidal P. australis wetlands (p<0.05). As for the profile distribution, the three types of extractable silicon in soils from 0 to 10 cm were generally higher than in soils from 10 cm to 20 cm. Additionally, the correlation analysis revealed that soil organic matter, total nitrogen, bulk density, pH, silt and moisture were important factors influencing these three types of extractable silicon.

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    Effects of Dioscorea opposita Thunb. polysacchariades on exercise-related fatigue in mice through the PI3K/AKT/Gsk-3β pathway
    ZENG Ting, YANG Ran, LI Qingjun, GONG Yanan, WANG Shuzhen, LIU Qian
    Shandong Science    2024, 37 (6): 51-58.   DOI: 10.3976/j.issn.1002-4026.20240034
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    This study aimed to investigate the antifatigue effects and mechanisms of Dioscorea opposita Thunb. polysaccharides (DTPs) on exercise-related fatigue in mice. In a mouse model of exercise fatigue where mice were subjected to exhaustive swimming and fatigue rotarod, changes in exhaustive swimming duration, body weight, fatigue metabolite accumulation, activity levels of related enzymes, liver tissue structure, and muscle glycogen (MuG) and liver glycogen (LG) contents were assessed. The results demonstrated that DTPs significantly prolonged the exhaustive swimming duration and reduced body weight loss, hepatic damage, and serum lactic acid (LD), blood urea nitrogen (BUN), and lactate dehydrogenase (LDH) levels in the mice. DTPs also significantly enhanced superoxide dismutase (SOD) activity and MuG and LG contents and significantly reduced aspartate aminotransferase (AST) levels. Additionally, in mice administered DTPs, the mRNA expression of phosphoinositide 3-kinase (PI3K) was significantly upregulated, whereas that of protein kinase B (AKT) and glycogen synthase kinase-3 (Gsk-3β) was significantly downregulated in skeletal muscle. Taken together, DTPs can reduce metabolite accumulation and ameliorate exercise fatigue by regulating the PI3K/AKT/Gsk-3β pathway to promote glycogen synthesis.

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    Lane segmentation algorithm based on attention mechanism and dynamic snake convolution
    SONG Bailing, LI Xingyu, LIU Wei, DENG Junxi, MU Junqi
    Shandong Science    2025, 38 (1): 129-140.   DOI: 10.3976/j.issn.1002-4026.20240066
    Abstract255)   HTML16)    PDF(pc) (5638KB)(92)       Save

    Lane detection is a remarkable practical application of computer vision technology in the field of transportation. However, existing semantic segmentation network models still face certain challenges such as insufficient accuracy and blurred edges in road semantic segmentation tasks. To address these issues, an improved lane segmentation network architecture based on the UNet model is proposed. First, a dual attention module (DAM) is introduced in the skip connections of the UNet model, which prioritizes the importance of lane lines and effectively reduces noise interference. Additionally, dynamic snake convolution (DSConv) is employed to replace traditional convolution methods, enhancing the network’s lane detection ability. To enhance the comprehensiveness and accuracy of lane detection in underexposed or dark backgrounds, an improved adaptive Gamma correction method is introduced in the image preprocessing stage. Furthermore, atrous spatial pyramid pooling (ASPP) technology is introduced at the end of the encoder to enhance network performance. Experimental results show that this model achieves an accuracy of 98.93% on the TuSimple dataset while meeting real-time requirements. Compared to five other semantic segmentation-based lane detection algorithms, the proposed algorithm demonstrates superior recognition performance, thus validating its effectiveness.

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    Construction of fiber-type solar interfacial evaporator and the influence of water channels on heat loss
    YUAN Zhipeng, TIAN Shuo
    Shandong Science    2024, 37 (5): 35-41.   DOI: 10.3976/j.issn.1002-4026.20230160
    Abstract255)   HTML4)    PDF(pc) (4438KB)(26)       Save

    The shortage of freshwater resources is a major global challenge. Solar-powered seawater desalination technology utilizes the naturally abundant resources of solar power and seawater as power and treatment sources, respectively. It is a sustainable solution to the problem of freshwater shortage and can minimize the consumption of fossil fuels and reduce carbon footprint. However, efficient and low-cost solar interfacial evaporators are still in short supply. In this study, we obtained photothermal fibers with optimal photothermal effects and efficient water transfer abilities through the hydrophilic modification of polyacrylonitrile fibers and the deposition of polypyrrole. Taking advantage of its flexible processing properties, an economical and efficient interfacial evaporator was prepared by wrapping fibers onto low-cost insulation material-expandable polystyrene.The heat and mass transfer law of interfacial evaporators with different numbers of water transfer channels was studied. This study provides a theoretical basis and new insights into the development of solar interfacial evaporators.

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    Queuing theory-based cross-camera passenger trajectory recognition method
    WEN Zening, ZENG Hongbo, NIU Ling, LU Kai, ZHAO Zhonghao
    Shandong Science    2024, 37 (5): 62-68.   DOI: 10.3976/j.issn.1002-4026.20230161
    Abstract250)   HTML3)    PDF(pc) (3401KB)(43)       Save

    Currently, in surveillance video groups, traditional methods for searching camera videos involve traversing and searching through all cameras or performing repetitive searches in a network topology. These approaches result in low efficiency and poor accuracy in tracking individuals. To address this issue, we propose an efficient method for selecting surveillance camera videos based on the principles of the queuing and vertex-weighted directed graph theories. In this method, we treat cameras as vertices and construct a weighted directed graph. By calculating weights, we can determine the optimal monitoring paths considering the connections and weights between cameras. The key advantage of this method is its efficient selection of surveillance camera videos. Additionally, by combining the optimal movement paths of target passengers in urban rail transit nodes with individual tracking, we use the concept of vertex-weighted directed graphs to enhance the accuracy and efficiency of person recognition. The research results show the great significance of this method in improving the performance of surveillance systems and individual tracking capabilities. By applying the queuing and vertex-weighted directed graph theories for individual tracking, we offer an innovative approach to address practical problems and enhance system performance. This method holds great importance in enhancing surveillance system performance and individual tracking capabilities.

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    Ship heave motion prediction method based on wavelet transform and improved time series model
    LIU Zhizhen, HUANG Lumeng, SUN Yapeng, ZHANG Ying, LIU Zhendong
    Shandong Science    2024, 37 (6): 1-11.   DOI: 10.3976/j.issn.1002-4026.20240019
    Abstract248)   HTML377)    PDF(pc) (6283KB)(317)       Save

    Lag in detecting ship heave motion signals severely affects the performance of ocean heave compensation systems. Therefore, accurate heave motion prediction can effectively improve the stability and real-time performance of these systems. To improve the engineering practicability of a heave motion prediction model, we designed an autoregressive time-series model featuring high calculation efficiency, simple programing, and a small accumulation error. Moreover, to further address the poor adaptability of the model to nonlinear and nonstationary complex sea conditions and long-term predictions, we developed a combined prediction model based on wavelet transform and improved autoregression using the wavelet multiscale analysis method and achieved online multistep prediction of heave motions by decomposing and transforming historical data, reconstructing sub-sequence prediction, and forecasting data synthesis. Finally, theoretical testing and experiments were conducted on stationary random waveforms and nonstationary waveforms measured on ships. The analysis results show that the combined model exhibits good prediction performance and can effectively reduce the control error of the ocean heave compensation system caused by the lag in the heave motion signal detection.

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    Effect of thermal insulation performance deterioration on the economy of steam pipelines
    CAO Kai, BAO Wenlong, ZHAO Kun, JIANG Haoyong, YIN Xinglei
    Shandong Science    2025, 38 (1): 74-82.   DOI: 10.3976/j.issn.1002-4026.20240063
    Abstract248)   HTML3)    PDF(pc) (4079KB)(25)       Save

    Currently, the steam pipelines in cigarette factories are characterized by numerous points, extensive lengths, and broad coverage. The thermal conversion factor of these pipelines is high, and their steam energy consumption accounts for a large proportion of the total energy consumption. Therefore, investigating the performance of the insulation layer of steam pipes is of considerable importance for improving steam utilization efficiency and reducing heat loss in the steam pipe network. In this study, the thermal conductivities of insulation layers made of four insulation materials were measured using the steady-state method at different temperatures to elucidate the relationship between the thermal conductivity of an insulation material and the steam temperature, thereby identifying the efficient insulation materials suitable for application scenarios. The appropriate insulation layer thickness was determined using the maximum allowable heat loss method and economic thickness method. Moreover, the thermal conductivities of insulation layers with different service lives were measured. Results indicate that the thermal conductivity increased linearly with the increasing service life. Factors causing the deterioration of insulation layer performance were incorporated into the model to study the relationship between the operating cost of an insulation layer and its outer diameter and service life. For insulation layers with different designed service lives, their optimal outer diameters and operating costs were calculated using the economic thickness method. Results show that considering material aging factors in the design of insulation layer thickness can reduce cumulative costs by 10.7% within the designed service life. However, when the service life expires, the operating cost of a design that considered the aging issue is higher than that of a design that did not consider the aging issue owing to increased heat loss as a result of aging of the insulation layer. The insulation layer can be designed to reduce steam heat loss and improve steam utilization efficiency as well as provide theoretical guidance for the green, low-carbon, and high-quality development of cigarette factories.

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    Prediction of effluent total nitrogen in wastewater treatment using LSTM neural network
    YU Mingquan, SHI Haoming
    Shandong Science    2024, 37 (6): 116-124.   DOI: 10.3976/j.issn.1002-4026.20240010
    Abstract242)   HTML11)    PDF(pc) (3441KB)(656)       Save

    The effluent total nitrogen (TN) is one of the key indicators for assessing the biological denitrification performance of wastewater treatment plants(WWTPs). To mitigate the prevalent issue of excessive TN discharges from WTTPs, we proposed a real-time prediction model based on long short-term memory (LSTM) networks. We performed Pearson correlation analysis to determine model inputs and used grid search algorithm to optimize model hyperparameters. Then, we used the proposed model to predict the actual effluent TN in a WWTP in Chongqing and compared its predictive performance with that of traditional time-series models. Results indicate that the proposed model can effectively predict effluent TN with an average absolute error of 0.911 mg/L, an average root mean square error of 1.074 mg/L, and an average absolute percentage error of 11.28%. All of these performance indicators surpass those of the recurrent neural network and ARIMA models. The proposed model can serve as the foundation for effective monitoring of effluent TN.

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    Quantitative evaluation of digital economy policy texts in Shandong Province
    WANG Chen, ZHAO Yanqing, ZHANG Mingjun
    Shandong Science    2024, 37 (5): 111-121.   DOI: 10.3976/j.issn.1002-4026.20240042
    Abstract242)   HTML6)    PDF(pc) (2229KB)(83)       Save

    Digital economy policies are critical for guiding the promotion and regulation of activities within a digital economy. Analyzing these policies quantitatively can significantly support the formulation and enhancement of related strategies. This paper used text mining techniques and the Policy Modeling Consistency index model to construct an evaluation framework comprising 9 primary variables and 35 secondary variables as indicators for quantitatively assessing digital economy policies within Shandong Province. Of the ten selected samples of digital economy policies, researchers rated three as excellent, three as good, three as satisfactory, and one as inadequate. Research findings indicated that digital economy policies in Shandong Province were generally effective, showing a certain degree of scientific rigor. In the future, policy optimization should focus on policy timeliness, scope, and perspectives.

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    Bioinformatics-based verification of the mechanism of Haitongpi-Tougucao in inhibiting ferroptosis in inflammatory chondrocytes
    XU Mengyu, WU Tianju, HUANG Lu, LIU Xin, ZHAO Jiarong, YOU Yuanyuan
    Shandong Science    2025, 38 (1): 23-31.   DOI: 10.3976/j.issn.1002-4026.20240049
    Abstract231)   HTML8)    PDF(pc) (2788KB)(333)       Save

    Based on bioinformatics, this study validates the mechanism of action of Haitongpi-Tougucao (compound Haitongpi) in inhibiting lipopolysaccharide (LPS)-induced ferroptosis in rat inflammatory chondrocytes. Bioinformatics tools were used to predict the mechanism of action of ferroptosis in osteoarthritis and identify pathways for validation. The key techniques used were as follows: the detection of ferrous ion content and reduced glutathione (GSH) content using relevant kits; the detection of cell viability and the levels of related cytokines IL-1β, IL-6, and TNF-α using the enzyme-linked immunosorbent assay (ELISA) after dosing; and the use of protein immunoblotting (western blot, WB) to detect the protein expression levels of NLRP3, Caspase-1, ASC, and GPX4, a gene that inhibits ferroptosis, related to the NLRP3 inflammasome pathway in each group. The results revealed that the ferrous ion content was significantly decreased,while the GSH content was significantly increased; the ELISA experiment showed that the levels of inflammatory factors IL-1β, IL-6, and TNF-α were decreased in each group administered with the drug compared with those in the model group; the WB results showed that the expression levels of NLRP3, Caspase-1, and ASC proteins were significantly decreased and GPX4 protein expression levels were significantly increased in each group administered with a specific dosage of the drug compared with those in the model group. Therefore, the compound Haitongpi can intervene in the ferroptosis of inflammatory chondrocytes by mediating the NLRP3 inflammasome pathway, thereby achieving the purpose of osteoarthritis treatment.

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    Development and experimental validation of an underwater photon-counting three-dimensional imaging LiDAR system
    WANG Zhangjun, YU Yang, YE Dingmu, LI Hui, CHEN Chao, YU Changxin
    Shandong Science    2025, 38 (3): 64-71.   DOI: 10.3976/j.issn.1002-4026.2025052
    Abstract227)   HTML1)    PDF(pc) (4086KB)(18)       Save

    Underwater three-dimensional (3D) imaging light detection and ranging (LiDAR) systems have the potential for accurately detecting underwater targets and mapping the seabed terrain, thus facilitating the development and utilization of marine resources. However, most existing underwater 3D imaging LiDAR systems suffer from large size and high power consumption, making them unsuitable for the operational requirements of underwater tasks. To overcome these issues, this study proposes a compact solution based on photon-counting technology that integrates single-point ranging with two-dimensional scanning to achieve 3D imaging. A compact underwater photon-counting 3D imaging LiDAR system was developed by optimizing optical and mechanical design, resulting in a device with a diameter of 165 mm and a length of 340 mm, considerably improving portability and underwater adaptability. A dual-axis synchronous scanning control method was implemented based on FPGA to achieve a scanning accuracy at the nanosecond level, ensuring precise alignment between the emitted pulse and measured target point. Laboratory water tank experiments revealed that the system has a detection capability exceeding 3.1 attenuation lengths. Furthermore, this system was used for underwater 3D imaging of a thruster model that validates its centimeter-level ranging accuracy. Owing to its strong compatibility, this system can be integrated into various underwater mobile platforms and holds strong potential for applications such as seabed topographic mapping, underwater cultural heritage detection, and underwater target identification.

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    Quantum computing-based optimization method for train short-turn routing with flexible composition
    YUAN Ye, XU Hao, LU Xueyong, LI Wenxin, XU Huizhang, YANG Xin
    Shandong Science    2024, 37 (6): 94-103.   DOI: 10.3976/j.issn.1002-4026.20240003
    Abstract225)   HTML5)    PDF(pc) (2422KB)(216)       Save

    The joint optimization of train timetable and short-turn routing under the flexible composition mode are restricted by various factors such as train timetables, passenger dynamic equations, and train composition adaptability. The coupling of constraints increases the complexity of the problem, making it difficult to solve using traditional optimization methods.This paper introduces the quantum computing method to address the problem. We built a mixed-integer nonlinear programming model to minimize the number of gathered passengers across all stations along the transit line. Furthermore, we used the real coherent Ising machine(CIM) to solve this problem. The numerical results show that the real coherent Ising machine has obvious advantages in computing efficiency and optimization performance compared with other classical algorithms.

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    Mechanism of action indole acetylated high-amylose maize starch in improving ulcerative colitis
    QU Xinyan, LI Qingjun, DING Xingchun, SONG Yingying
    Shandong Science    2024, 37 (5): 17-24.   DOI: 10.3976/j.issn.1002-4026.20230176
    Abstract225)   HTML7)    PDF(pc) (2925KB)(104)       Save

    The aim of this study is to investigate the mechanism action of indole acetylated high-amylose maize starch in improving ulcerative colitis. Dextran sulfate sodium salt was used to induce acute ulcerative colitis in mice. Indole acetylated high-amylose maize starch was then used to target the colon with the delivery of indole-3-acetic acid. This was combined with the administration of an aryl hydrocarbon receptor inhibitor to analyze the mice in terms of colon length; disease activity index; and levels of interleukin-6, interleukin-10, transforming growth factor β1, myeloperoxidase, and interleukin-22 in the colon, which were detected by enzyme-linked immunosorbent assay. Quantitative polymerase chain reaction was used to analyze the relative expression levels of the colonic tight junction proteins occludin, ZO-1, and CYP1A1. Flow cytometry was used to test the ratio of regulatory T cells and T helper 17 cells in the mesenteric lymph nodes. The results showed that administration of indole acetylated high-amylose maize starch significantly alleviated the shortening of the colon length; significantly reduced the disease activity index and the levels of interleukin-6 and myeloperoxidase; significantly promoted the expression of interleukin-10, transforming growth factor β1, interleukin-22, CYP1A1, occludin, and ZO-1; significantly increased the proportion of regulatory T cells; and significantly reduced the proportion of T helper 17 cells. Administration of the aryl hydrocarbon receptor inhibitor weakened the effect of indole acetylated high-amylose maize starch. These results together suggest that acetylated high-amylose maize starch can improve ulcerative colitis by activating aryl hydrocarbon receptors.

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    Method and application of concrete temperature monitoring for the Yellow River diversion sluice gates based on embedded distributed fiber optic sensing technology
    QU Jikai, QI Yueqiang, QU Shuai
    Shandong Science    2024, 37 (5): 54-61.   DOI: 10.3976/j.issn.1002-4026.20230163
    Abstract224)   HTML1)    PDF(pc) (3936KB)(1044)       Save

    Accurate measurement of temperature variations during the pouring and curing of concrete is of great importance for investigating concrete cracking during the construction of the Yellow River Diversion Project in the Yellow River Basin. Notably, the current construction projects involved in the Yellow River Diversion Project in the Yellow River Basin primarily use thermal imaging methods for surface temperature measurement, making it difficult to obtain real-time overall temperature characteristics of concrete. Therefore, to improve the ecological system of the Yellow River Basin and ensure high-quality development in the region, this research proposes a concrete-temperature monitoring method for the Yellow River Diversion Project based on implantable distributed fiber optic sensing;this method has been successfully used in the Yellow River Diversion Project in Shandong Province. Before concrete is poured, the sensing fiber opthic cable is prelaid on both sides of the involved structural-steel bars, enabling real-time and effective monitoring of the internal temperatures during the pouring and curing of concrete. This method is of great value for ensuring real-time analysis of the temperature of concrete throughout its lifecycle. Experimental results show that the use of implantable distributed fiber optic sensing allows real-time monitoring of temperature changes at various points in concrete and temperature anomalies during curing. Moreover, this method can be used to effectively analyze the overall temperature variation during curing. Using implantable distributed fiber optic sensing to monitor the concrete temperature for the Yellow River Diversion Project is of considerable reference value for similar engineering projects in the Yellow River Basin.

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    Quality evaluation of Ganoderma lucidum as a medicinal material based on polysaccharides and entropy-weighted TOPSIS
    YANG Zhicheng, SUN Caihong, YE Guan
    Shandong Science    2024, 37 (6): 31-41.   DOI: 10.3976/j.issn.1002-4026.20240044
    Abstract223)   HTML8)    PDF(pc) (1933KB)(29)       Save

    A comprehensive quantitative model that evaluates Ganoderma lucidum as a medicinal material was established based on polysaccharides and entropy-weighted technique for order preference by similarity to ideal solution(TOPSIS) to provide a reference for the quality evaluation of G. lucidum as a medicinal material and selecting the best batches. Initially, the yield, sugar composition, total sugar content, protein content, and uronic acid content of crude polysaccharides were determined formultiple batches of G. lucidum medicinal materials from the same origin. Subsequently, the data were nondimensionalized. Finally, entropy-weighted TOPSIS was used to comprehensively evaluate the quality of G.lucidum polysaccharides from different batches to establish the optimal standard. The yield, component content detection, and cluster heat map analysis of the polysaccharides showed that the polysaccharide yield and the total sugar and uronic acid content of G. lucidum medicinal materials from different batches varied significantly, whereas differences in the sugar composition and protein content were relatively minor. Polysaccharide yield and intrinsic indicators of the G. lucidum medicinal materials were not related to their origin. Entropy weight analysis showed that the polysaccharide yield weight coefficient was the largest at 23.68%, followed by total sugar at 21.35% and uronic acid content at 13.24%. The TOPSIS ranking and grouping results showed that cultivated G. lucidum fruiting bodies and red G. lucidum polysaccharides had better comprehensive scores. The quality of G. lucidum medicinal materials differ widely among different batches from the same origin. Entropy-weighted TOPSIS based on multi-index comprehensive evaluation achieved rapid, efficient, and accurate optimization of the source for G. lucidum polysaccharide extractasa medicinal material and has broad application prospects in production and comprehensive quality evaluation. This study provides a reference for the quality evaluation of other Chinese medicinal and decoction materials.

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    Time-effect and dose-effect relationship study on the effect of Banxiaxiexin Decoction-containing serum on the proliferation of gastric cancer cells
    ZU Guoxiu, LIU Xijian, ZU Xiuli, TANG Jiqin, HUANG Hailiang, HAN Tao
    Shandong Science    2025, 38 (1): 9-22.   DOI: 10.3976/j.issn.1002-4026.20240035
    Abstract221)   HTML8)    PDF(pc) (6203KB)(29)       Save

    The pharmacological method of traditional Chinese medicine serum was used to explore the effect of Banxiaxiexin Decoction (BXD) on the proliferation of different gastric cancer cells in vitro. Additionally,the preparation conditions of BXD drug-containing serums were examined toobserve the pharmacodynamics of gastric cancer cells. Blood was collected at intervals of 30, 60, 90, 120, and 150 minutes after high, medium, and low intragastric gavage of BXD to prepare drug-containing serums. Based on the selected gavage doses and blood collection times, MGC803, MKN45, AGS, and HGC27 cells were exposed to 5%~50% concentrations of drug-containing serum, and CCK8 assay was employed to detect the inhibitory effects of different gavage doses, blood collection times, and volume fractions of BXD drug-containing serum on the proliferation of gastric cancer cells. The test results showed that compared with other time points, all BXD drug-containing serums had the strongest inhibitory effect on gastric cancer cells at the blood collection time of 120 minutes. Compared with the low-dose BXD group, the medium-dose BXD group had a strong inhibitory effect on gastric cancer cells, and there was no significant difference between the medium-dose and high-dose BXD groups. Based on the analysis of the inhibitory effects of 10 concentrations ranging from 5% to 50% on different gastric cancer cells, the IC50 values of all drug-containing serums collected 120 minutes after gavage in the medium-dose BXD group were 20%. Analysis of the inhibitory effects of different gavage doses, blood collection times, and volume fractions on different gastric cancer cells revealed that a medium dose of BXD, blood collection time of 120 minutes,and a volume fraction of 20% had the strongest inhibitory effect on gastric cancer cells. Therefore, the medicated serum with a blood collection time of 120 minutes and a volume fraction of 20% in the medium-dose BXD group had the best pharmacodynamic effect on gastric cancer cells.

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    A precise highway toll prediction model based on iTransformer
    WANG Hengkun, GU Jin, SONG Zhifan, WANG Jiangfeng
    Shandong Science    2025, 38 (1): 120-128.   DOI: 10.3976/j.issn.1002-4026.20240055
    Abstract216)   HTML3)    PDF(pc) (3068KB)(457)       Save

    The prediction of highway tolls is affected by complex factors such as holidays and unexpected events. Traditional prediction methods often fail to fully account for intricate interactions between these multiple factors, resulting in less-than-ideal prediction accuracy. By leveraging the self-attention mechanism, large language models can better fit complex spatiotemporal data and have enhanced feature learning capabilities, making them highly effective for precise highway toll prediction. Therefore, this study proposes a highway toll prediction model based on iTransformer. This model embeds temporal information as an independent dimension into the input sequence and reverses the roles of the self-attention mechanism and feed-forward network, thereby allowing the model to more accurately capture the dynamic features of time series and correlations between multiple variables. Case studies show that the proposed model improves the average prediction accuracy by 23.47% and 17.84% compared with the SARIMA and LSTM models, respectively, in regular scenarios. In irregular scenarios, the model demonstrates even better predictive performance, improving the accuracy by 70.92% and 45.64%, respectively. A sensitivity analysis of the proposed model indicates that it is highly sensitive to the number of feed-forward network layers and stacked encoder layers but is less sensitive to changes in the number of attention heads. Thus, this study provides a new methodological approach for addressing the challenges associated with toll prediction in complex traffic environments and has significant implications in terms of improving the accuracy of highway toll predictions.

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    Analysis of spatiotemporal characteristics of global precipitation at middle and low latitudes
    WANG Qiuyan, SONG Xiuyu, YANG Fan, LI Yaoru
    Shandong Science    2024, 37 (6): 125-134.   DOI: 10.3976/j.issn.1002-4026.20240013
    Abstract199)   HTML7)    PDF(pc) (9391KB)(24)       Save

    Based on the monthly average global precipitation data from January 1982 to April 2022, this study discusses the spatial distribution and time series of mode one and mode two using the cyclostationary empirical orthogonal function (CSEOF) method; analyzes the spatial distribution, seasonal variation characteristics, and interannual variation characteristics of global marine precipitation at low and middle latitudes; and discusses the possible causes of these variations. Results show that the interannual variation of precipitation exhibits periodic characteristics, with the main areas experiencing variations being distributed in the tropical Pacific region; additionally, the spatial field of mode one demonstrates an east-west inverse phase distribution, which is stronger in winter than in summer. The seasonal variation of the spatial field of mode two is more complex than that of mode one, with the high-value positive and negative variability regions demonstrating an east-west inverse phase distribution in winter and negative variability regions dominating in summer with weaker intensity. ENSO has an important impact on the interannual variations of precipitation. The spatiotemporal variation characteristics of mode one are primarily affected by the ENSO phenomenon, while those of mode two are mainly affected by the El Niño Modoki phenomenon. The main precipitation variation characteristics are affected by the superposition of these two phenomena.

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    Research on the invulnerability of urban public transport systems based on a double-layer network model
    MA Xuexiang, HAN Mengwei, ZHOU Guangxin, LI Shubin, SHEN Jiajia, KONG Xiangke
    Shandong Science    2024, 37 (5): 79-88.   DOI: 10.3976/j.issn.1002-4026.20240027
    Abstract193)   HTML1)    PDF(pc) (4254KB)(192)       Save

    To study the invulnerability of urban public transport systems, the complex network theory is used to map and analyze the metro and bus systems. First, an improved double-layer complex network construction method is proposed based on the Space-L model. This method constructs connecting edges based on actual transfer distances and uses the peak-hour passenger capacity of lines as edge weights to develop a metro-bus double-layer network. Second, the characteristics of this network and its sub-network are analyzed using indicators such as degree, intensity, and betweenness. Finally, the random attack and intentional attack models are utilized to analyze the invulnerability of the metro-bus double-layer network and its sub-networks, respectively. The results show that the developed network exhibits a scale-free property and is vulnerabe to intentioanl attacks, exhibiting different sensitivities to various intentioanl attack indicators. Thus, the results of this study provide valuable guidelines to public transport systems for responding to emergencies and improving their robustness.

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    Optimizing vertical track alignment considering metro train control
    FAN Cong
    Shandong Science    2025, 38 (1): 105-119.   DOI: 10.3976/j.issn.1002-4026.20240062
    Abstract187)   HTML2)    PDF(pc) (4801KB)(371)       Save

    Energy-saving metro train control is closely related to the vertical track alignment (VTA) design, and both have a significant impact on operating costs. To further reduce operating costs based on optimized train control, this study proposed a collaborative optimization model for the VTA design phase. This model optimizes the bidirectional train control strategy and VTA of a metro section with the goal of minimizing energy consumption and maintenance costs simultaneously, while adhering to the constraints of scheduled train control and the requirements of the "Metro Design Code." Given the numerous factors affecting the maintenance costs of wheels and rails, a train-track dynamic simulation model was developed to calculate these costs. Based on this, an algorithm combining the pseudospectral method and brute force search was designed to solve the collaborative optimization model. The effectiveness of this optimization method was validated using three sections of the Guangzhou metro line. The results indicate that, compared to the method of optimizing scheduled train control alone on the actual VTA, the collaborative optimization model is more effective in saving operating costs, reducing the average operating costs by 21% across the studied sections. This study can provide novel approaches and theoretical support to further reduce metro operating costs, which contributes to promoting sustainable development of metro.

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    Comparative study on the common bipolar plate welding processes and their joint microstructures and performance
    HOU Dongxu, YIN Ziqiang, REN Yuan, MA Xinqiang, CHENG Wei
    Shandong Science    2024, 37 (6): 67-74.   DOI: 10.3976/j.issn.1002-4026.20240021
    Abstract181)   HTML10)    PDF(pc) (2883KB)(20)       Save

    In order to study the welding methods suitable for metal bipolar plates, 0.1 mm 316L stainless steel was welded by four common bipolar plate welding methods : laser welding, vacuum diffusion welding, brazing and ultrasonic welding.The potentiodynamic polarization curves of four kinds of welded joints were measured by using CHI-604E electrochemical workstation. The electrochemical corrosion properties of four kinds of welded joints were compared, and the electrochemical corrosion behavior was analyzed by combining microstructure and chemical composition.It is found that the corrosion resistance of vacuum diffusion welded joints and laser welded joints is strong, and the corrosion resistance of ultrasonic welded joints and brazed joints is weak.The post-weld deformation of four kinds of welded specimens was measured by laser spectral confocal microscope. Under the action of fixture, the deformation of laser welded specimens was smaller than that of other specimens.The welding time and welding process used in the welding process of the four welding methods were compared.After comprehensive comparison, laser welding is finally determined as the best choice for these four common metal bipolar plate welding methods.

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    Current status of contamination of environmental and food samples with pharmaceutical and personal care products and sample pretreatment analytical techniques
    MA Jinyan, ZHAO Rusong
    Shandong Science    2025, 38 (2): 28-40.   DOI: 10.3976/j.issn.1002-4026.20240114
    Abstract181)   HTML10)    PDF(pc) (2247KB)(27)       Save

    Residues of pharmaceuticals and personal care products (PPCPs) are an emerging class of organic contaminants known for their endocrine-disrupting properties, pseudo-persistence, and ecotoxicity. Because of their wide application in the medical, animal husbandry, and cosmetic industries, PPCPs have been frequently detected in surface water, groundwater, industrial sludge, and even food such as milk in recent years, raising significant concerns about their safety. However, because PPCPs are present at very low concentrations in real samples and are affected by complex matrix effects, direct quantitative analysis is challenging. Therefore, before instrumental analysis, effective sample pretreatment methods are required for the enrichment analysis of PPCPs. In recent years, many novel materials have been developed for the extraction of trace contaminants. First, this paper provides a systematic introduction to the hazards and contamination status of PPCPs, followed by a detailed discussion of the contamination of two typical PPCPs: bisphenols and nonsteroidal anti-inflammatory drugs. Second, it lists several sample pretreatment techniques, highlighting the application of novel adsorbent materials in PPCP analysis and detection, while also exploring the development trends of these new adsorbent materials. Finally, the paper summarizes the obstacles and challenges that may be encountered in the analysis and detection of PPCPs.

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    Numerical study on heat transfer characteristics of supercritical CO2 in vertical tubes at far-critical points
    ZHAO Chongxin, CUI Jianbo, JIN Yanchao, HAN Yazhou, WU Gongpeng, HE Yan, WEI Zhenwen
    Shandong Science    2025, 38 (1): 83-95.   DOI: 10.3976/j.issn.1002-4026.20240036
    Abstract179)   HTML4)    PDF(pc) (6387KB)(280)       Save

    Supercritical CO2 plays an important role in many applications such as nuclear power generation, solar power generation, cryogenic refrigeration, and aerospace. Currently, the majority of studies on supercritical CO2 convective heat transfer in tubes focus on the temperature range near the critical point, while the heat transfer patterns at high temperature and pressure far from the critical point remain unclear and need to be further studied. In this study, numerical simulations were performed to analyze the effects of mass flow, inlet temperature, system pressure, heat flux density, and tube diameter on the convective heat transfer coefficient at high temperature and pressure, as well as the effects of buoyancy and flow acceleration caused by operating conditions on the heat transfer characteristics. The results show that the convective heat transfer coefficient increases with increasing mass flow, inlet temperature, system pressure, and heat flux density. The difference in convective heat transfer coefficient gradually grows along the flow direction under different heat flux densities. Convective heat transfer coefficient decreases with increasing tube diameter. Compared with the heat transfer patterns near the critical point, heat flux density and tube diameter exert different effects on the convective heat transfer coefficient. In general, the effects of pressure on the convective heat transfer coefficient are small. This study provides significant values to understand the law of supercritical fluid heat transfer and guide the design of efficient and safe heat exchanger.

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