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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
    Abstract844)   HTML12)    PDF(pc) (3925KB)(1847)       Save

    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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    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
    Abstract734)   HTML23)    PDF(pc) (1884KB)(1471)       Save

    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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    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
    Abstract553)   HTML9)    PDF(pc) (3420KB)(299)       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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    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
    Abstract507)   HTML19)    PDF(pc) (3264KB)(680)       Save

    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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    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
    Abstract427)   HTML9)    PDF(pc) (2087KB)(437)       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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    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
    Abstract407)   HTML15)    PDF(pc) (5610KB)(208)       Save

    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
    Abstract374)   HTML3)    PDF(pc) (2203KB)(1238)       Save

    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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    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
    Abstract361)   HTML7)    PDF(pc) (4164KB)(276)       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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    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
    Abstract361)   HTML22)    PDF(pc) (4085KB)(666)       Save

    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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    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
    Abstract351)   HTML44)    PDF(pc) (3307KB)(1067)       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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    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
    Abstract337)   HTML6)    PDF(pc) (1588KB)(51)       Save

    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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    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
    Abstract303)   HTML16)    PDF(pc) (5638KB)(104)       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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    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
    Abstract298)   HTML3)    PDF(pc) (4079KB)(30)       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
    Abstract291)   HTML11)    PDF(pc) (3441KB)(715)       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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    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
    Abstract283)   HTML10)    PDF(pc) (2727KB)(6)       Save

    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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    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
    Abstract282)   HTML377)    PDF(pc) (6283KB)(329)       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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    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
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    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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    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
    Abstract266)   HTML8)    PDF(pc) (1933KB)(31)       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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    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
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    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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    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
    Abstract264)   HTML3)    PDF(pc) (3068KB)(474)       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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    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
    Abstract264)   HTML1)    PDF(pc) (4086KB)(50)       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
    Abstract252)   HTML5)    PDF(pc) (2422KB)(220)       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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    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
    Abstract223)   HTML4)    PDF(pc) (6387KB)(396)       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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    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
    Abstract220)   HTML7)    PDF(pc) (9391KB)(60)       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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    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
    Abstract212)   HTML10)    PDF(pc) (2247KB)(31)       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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    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
    Abstract211)   HTML11)    PDF(pc) (2883KB)(21)       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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    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
    Abstract210)   HTML2)    PDF(pc) (4801KB)(399)       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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    Study on local standards for pollution control and resource utilization of bulk industrial solid waste in Shandong Province
    YIN Chengyue, LI Jian, YANG Yanfeng, SHAO Yingying, ZHU Ying
    Shandong Science    2025, 38 (2): 53-61.   DOI: 10.3976/j.issn.1002-4026.2025001
    Abstract207)   HTML6)    PDF(pc) (2473KB)(311)       Save

    Key tasks in the construction of a “waste-free city” in Shandong Province are to formulate local regulations for solid-waste pollution prevention and control and to enhance the local standard system for solid-waste resource utilization. This study reviews the generation volume, comprehensive utilization rate, and industry-specific distribution of bulk industrial solid waste in Shandong Province in 2023. This study also investigates the current status of local standards for the resource utilization of bulk industrial solid waste across different provinces(autonomous regions) in China. Based on this comparative analysis, this study identifies existing issues in the local standard system for the resource utilization of bulk industrial solid waste in Shandong Province and proposes targeted countermeasures. These recommendations enhance pollution prevention and promote the establishment of a comprehensive local standard system for bulk industrial solid-waste resource utilization in Shandong Province.

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    Effects of carbon-to-nitrogen ratio on the proliferation of typical salt-tolerant microorganisms
    WANG Chen, LU Yaxin, LI Xiaoyong, ZHANG Jiayi, XU Letian, FENG Qing
    Shandong Science    2025, 38 (2): 73-79.   DOI: 10.3976/j.issn.1002-4026.20240128
    Abstract198)   HTML3)    PDF(pc) (1515KB)(19)       Save

    Bacillus velezensis, Bacillus thuringiensis and Brevibacterium frigoritolerans are three typical salt-tolerant plant growth-promoting rhizobacteria (ST-PGPR) known for their ability to alleviate salt stress in plants. To optimize the nutritional conditions for the growth and proliferation of these strains, experiment of single factor method was used to investigate the effects of different carbon-to-nitrogen ratios (nC/nN) on their development. The results showed that all three strains could grow and reproduce in a medium with a nC/nN of 3.25~6.00. However, the nC/nN had varying effects on their proliferation, i.e., the most significant impact was observed on the proliferation of velezensis, followed by thuringiensis and frigoritolerans. When the nC/nN was 4:1, velezensis exhibited the highest proliferation, with a viable bacterial count of 6.2 × 108 CFU/mL. Similarly, thuringiensis achieved its highest proliferation at a nC/nN of 4:1, with a viable bacterial count of 5.1 × 108 CFU/mL. Conversely, frigoritolerans achieved its highest proliferation at a nC/nN of 5:1, with a viable bacterial count of 3.5 × 108 CFU/mL. In conclusion, the optimal nC/nN for the proliferation of velezensis and thuringiensis is 4:1, whereas that for frigoritolerans is 5:1.

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    Optimization of structural parameters and oil removal effect of a self-induced vortex oil collector
    ZHANG Ruihan, JIANG Lewen, WANG Yue, HAO Zongrui
    Shandong Science    2024, 37 (6): 12-21.   DOI: 10.3976/j.issn.1002-4026.20240045
    Abstract197)   HTML12)    PDF(pc) (4081KB)(61)       Save

    To achieve the best separation effect and oil phase collection efficiency, a self-induced vortex oil collector was designed to collect residual oil from the turbulent sea. The inlet flow angle and suction pipe insertion depth of the device were adjusted and optimized via numerical simulation calculations. By comparing the volume of oil phase remaining inside the device in the same operation time, we concluded that at an inlet flow angle of 20° and a suction pipe insertion depth of h/3, the device could maintain a high oil phase separation efficiency, suppress oil-water mixing, and reduce oil-water interface diffusion and impurities. After determining the optimal structure, we analyzed the oil removal effect of the device in different water surface environments by changing its inlet flow velocity. The higher the inlet flow velocity, the higher the performance of the device for collecting the oil phase and better its oil removal effect. In addition, the entire oil collection process occurs inside the device without being affected by the external environment, suggesting that the device can collect oil from complex water surface environments. Moreover, the main body of the device has no moving parts, hence, it relies solely on the baffle to guide the swirl for collecting the oil phase.

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    Preparation and recognition property of molecularly imprinted covalent organic framework of chlorogenic acids
    WANG Youdan, JI Wenhua, WANG Xiao
    Shandong Science    2024, 37 (6): 22-30.   DOI: 10.3976/j.issn.1002-4026.20240002
    Abstract195)   HTML9)    PDF(pc) (3392KB)(1090)       Save

    In this study, an imine-linked molecularly imprinted covalent organic framework (MCOF) was successfully prepared using chlorogenic acids as the template. Adsorption isotherm, adsorption kinetics, and selective recognition capacity were utilized to assess the performance of the MCOF and its non-imprinted counterpart, the covalent organic framework (NCOF). MCOF exhibited good site accessibility, taking 15 min to attain 97.1% of the maximum adsorbing capacity. Compared with the selective adsorption capacity of the NCOF to the analogs of chlorogenic acids, the MCOF showed higher selectivity to a family of related molecules with a structure similar to that of chlorogenic acids. This study shows that the MCOF provides an innovative opportunity to develop a highly selective material for the extraction and separation of a family of molecules from a high polarity medium.

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    Construction of TiO2/coal gasification slag composites via the ball milling method and their photocatalytic properties
    SUN Jing, HAN Jintai, SHEN Tingting, WANG Chen, FENG Qing, LIU Ruobing
    Shandong Science    2025, 38 (2): 80-88.   DOI: 10.3976/j.issn.1002-4026.2025018
    Abstract190)   HTML3)    PDF(pc) (3511KB)(22)       Save

    Coal gasification slag is a solid waste generated during coal chemical production and accounts for a notable proportion of solid wastes. Leveraging the natural properties (e.g., high specific surface area and pore volume) and compositional characteristics (rich in carbon) of coal gasification slag, this study used the mechanical ball milling method to composite coal gasification slag using a conventional photocatalyst titanium dioxide (TiO2) for broadening the photocatalytic response range of TiO2. Dye wastewater was used as the treatment object to evaluate the photocatalytic performance of the resulting composite material. Characterization techniques such as X-ray diffraction, Fourier Transform infrared spectroscopy, and scanning electron microscopy were used to investigate the optimal process conditions for the catalytic degradation of a methylene blue (MB) solution by the TiO2/coal gasification slag composite material. Results show that under visible-light conditions, the degradation efficiency of the developed composite material (TiO2∶slag ratio of 90∶10) is higher than those of anatase TiO2, P25, and the coal gasification slag/P25 composite material. Infrared characterization and free-radical quenching experiments indicated that coal gasification slag and TiO2 effectively bonded through Ti—O—Si bonds, expanding the photocatalytic response range of TiO2 and increasing the photocatalytic reaction contact area. In addition, hydroxyl radicals were identified as the primary active substances responsible for degrading MB. Compared with anatase TiO2, the catalytic efficiency of the composite material increased by 4.96 times. Furthermore, its catalytic degradation efficiency remained above 90% after three cycles, indicating that the TiO2/coal gasification slag composite material has excellent degradation efficiency and stability.

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    Validation of satellite scatterometer-derived sea-surface wind fields based on ocean buoy data
    LI Yunzhou, ZHOU Maosheng, ZHU Lin, YU Dingfeng, HAO Zengzhou, LI Min, WANG Juncheng, PAN Delu
    Shandong Science    2025, 38 (3): 1-13.   DOI: 10.3976/j.issn.1002-4026.20240149
    Abstract190)   HTML22)    PDF(pc) (5790KB)(287)       Save

    Sea-surface wind fields are critical parameters in marine environments, influencing ocean circulation, meteorology, and climate dynamics. To assess the accuracy of satellite-derived ocean wind products and characterize their error distribution, this study validates sea-surface wind field retrievals using a combination of satellite remote sensing and ocean buoy measurements. Wind field estimates from the Advanced Scatterometer (ASCAT) aboard the European Organisation for the Exploitation of Meteorological Satellites’ MetOp series were compared against buoy observations from four buoy database including the U.S. National Data Buoy Center, et al. over the 2013—2022 period. Following data preprocessing and spatiotemporal collocation, statistical metrics—including mean bias, root-mean-square error, and correlation coefficients—were employed to evaluate ASCAT wind field accuracy. Results indicate strong agreement between ASCAT-derived and buoy-measured wind fields, with correlation coefficients of 0.928 for wind speed and 0.867 for wind direction. The standard deviation of wind speed is 0.889 m/s, while that of wind direction is 22.168°. Among buoy networks, NDBC sites exhibited the most stable wind speed and direction deviations. This validation study enhances the reliability of satellite-derived wind fields, contributing to improved weather forecasting, climate research, ocean engineering, and disaster warning systems. Additionally, the findings support the continuous refinement of satellite payloads and retrieval algorithms.

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    Prediction and analysis of fabric drape coefficient based on genetic-algorithm optimized BP neural network
    XING Hao, ZHANG Ruiyun, XU Tengfei, JI Feng
    Shandong Science    2025, 38 (1): 53-63.   DOI: 10.3976/j.issn.1002-4026.20240039
    Abstract188)   HTML2)    PDF(pc) (2982KB)(18)       Save

    Although regression analysis can predict some drape indicators, they have problems such as low prediction accuracy and the inability to calculate some indicators. To overcome these issues, this study proposes a new method using genetic algorithm to optimize BP neural network (GA-BP neural network) to improve the prediction accuracy of real fabric drape. In this study, we designed a GA-BP neural network model, selected 100 pure cotton woven fabric samples from the fabric database, including 80 training samples, 10 test samples, and 10 validation samples, used the genetic algorithm to optimize the parameters of the neural network, and used correlation analysis to optimize sample input parameters to improve the prediction performance of the model. The results of the drape coefficient prediction for the 10 test samples show that compared with the traditional BP neural network, the average absolute percentage error of the BP neural network optimized by the genetic algorithm decreased from 12.74% to 7.03%. Furthermore, we used an empirical equation to identify error cycles and concluded that the optimal number of hidden layer nodes is 9. This study indicates that the GA-BP neural network can effectively improve the accuracy of fabric drape prediction and has important application value for the virtualization of fabric drape performance.

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    Adsorption of SF6 decomposed gases and its electronic properties on a novel pristine two-dimensional GeO2
    YANG Le, SUN Wanwan, DING Lishun, ZENG Wentian
    Shandong Science    2024, 37 (6): 75-82.   DOI: 10.3976/j.issn.1002-4026.20240038
    Abstract183)   HTML7)    PDF(pc) (3530KB)(271)       Save

    SF6 is widely used in high-voltage insulated equipment due to its excellent insulating properties. High-voltage insulated equipment faces the problem of insulation aging during its long-term operation, which can reduce the stability and safety of energy power equipment. When partial discharge occurs, SF6 decomposes under high-voltage and temperature into various species, such as SO2, SO2F2, HF, and H2S. Based on the first principle, a novel two-dimensional semiconductor pristine GeO2 monomolecular layer, which has a strong adsorption capacity for SF6 decomposed gases, is proposed in this study. Results show that this pristine GeO2 monomolecular layer provides an ideal amount of charge transfer and work function during the adsorption process. The detection of the SF6 decomposed gases by the novel two-dimensional GeO2, which is a gas-sensitive semiconductor material, allows us to identify the operational status and degree of insulation of high-voltage insulated equipment, which is crucial for maintaining the reliability and stability of power systems.

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    Research on the composition design and performance of Al-Ni-Re micro-alloyed hot-dip galvanized coating
    GUO Lei, LIU Changchun, ZHANG Jing, YIN Ziqiang, LI Bo
    Shandong Science    2025, 38 (1): 44-52.   DOI: 10.3976/j.issn.1002-4026.20240069
    Abstract182)   HTML4)    PDF(pc) (4543KB)(39)       Save

    To improve the corrosion resistance of traditional pure Zn coatings, we used 30 mm diameter Q195 welded pipes as the substrate and prepared a series of hot-dip galvanized alloy coatings by adding trace amounts of alloy elements such as Al, Ni, and Re to the Zn bath. First, the main factors affecting corrosion resistance were identified through a four-factor and three-level orthogonal experiment. Then, the experiment was further improved for the primary factors, and single-factor experiments were conducted to obtain the optimal parameter combination. Finally, the microstructure characteristics and corrosion resistance of the coating were studied and analyzed using methods such as high and low temperature humidity test, neutral salt spray test, metallographic analysis, and scanning electron microscopy. Results indicate that the introduction of alloying elements suppresses the growth of ζ layer, which makes the coating structure compact, and improves the corrosion resistance of the coating. The coating prepared in this study could remain rustless throughout a 72 h salt spray test and a 120 h humidity test. The process for preparing the alloy coating is same as the existing production process for traditional Zn coatings.

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    Analysis of issues in identification of plant damage caused by environmental pollution
    ZHAO Miaomiao, SUN Ting, WANG Lisha, QU Zhengjun, LENG Yuning, HUANG Lihui, GAO Zhenhui
    Shandong Science    2025, 38 (2): 126-133.   DOI: 10.3976/j.issn.1002-4026.20240153
    Abstract180)   HTML5)    PDF(pc) (1783KB)(142)       Save

    With the rapid economic and social development, environmental pollution and ecological damage have become increasingly severe. Under the guidance of Xi Jinping Thought on Ecological Civilization, China has initiated the establishment of an ecological and environmental damage compensation system and made significant progress. Biodiversity is fundamental to human survival and development, and environmental pollution is a major cause of the loss of plant diversity. This study examines the impact of environmental pollution on plant damage assessment and identification, highlighting key challenges in the assessment process, including causality judgment, quantification of physical damage, and valuation of damage. It also discusses the critical aspects of plant damage assessment and proposed recommendations, such as strengthening fundamental research, innovating damage assessment techniques, and improving the assessment system. The study aims to enhance the scientific rigor and accuracy of plant damage assessment, thus contributing to the development of an ecological and environmental damage assessment standard system, safeguarding public environmental rights, and promoting ecological civilization.

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    Discussion on ecological effect evaluation in the identification of ecological and environmental damage
    LENG Yuning, SUN Ting, WANG Lisha, ZHAO Miaomiao, QU Zhengjun, HUANG Lihui, GAO Zhenhui
    Shandong Science    2025, 38 (2): 117-125.   DOI: 10.3976/j.issn.1002-4026.20240151
    Abstract172)   HTML2)    PDF(pc) (2067KB)(13)       Save

    Ecological effect evaluation is a critical component in ecological and environmental damage assessment, providing an essential foundation for ecological damage compensation and restoration efforts. We systematically analyze ecological effect evaluation indictors, assessment methodologies, and damage identification pathways through a comprehensive literature review. Case studies validate the effectiveness of the established model in scientifically assessing the impact of pollutants on ecosystem service value, offering both methodological references and practical insights for similar research in other regions, with significant theoretical and applied implications. To address existing challenges, we propose improvements in optimizing ecological evaluation methodologies, refining technical frameworks, establishing cross-sectoral coordination mechanisms, and developing professional expertise. The principles and strategies proposed in this paper aim to enhance the scientific rigor and accuracy of ecological assessments, advance the standardization of ecological and environmental damage assessment systems, and provide valuable references for future research in related fields.

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    Synthesis of Ru/Ce-Al catalyst and evaluation of its ammonia-decomposition-induced hydrogen production performance and fuel cell application
    WANG Jianmei, SI Hongyu, DR. KOSCHANY Arthur Ernest, WANG Juncheng, LI Yunzhou, XU Aihua
    Shandong Science    2025, 38 (3): 90-98.   DOI: 10.3976/j.issn.1002-4026.2025041
    Abstract164)   HTML3)    PDF(pc) (3089KB)(11)       Save

    To meet the rapid response requirements of distributed energy supply systems for dynamic hydrogen production rates, a Ru/Ce-Al catalyst was prepared using a precipitation-hydrothermal method. This method addresses the challenge of maintaining dynamic stability in ammonia-decomposition-induced hydrogen production units under variable load conditions. Characterization techniques, such as XRD, NH3-TPD, and H2-TPR, were used to reveal the systematic regulation mechanism by which Al3+ doping in CeO2 and the Ce/Al stoichiometric ratio influence the evolution of oxygen vacancies in the support; in addition, their ammonia-decomposition-induced hydrogen production performance were investigated. The results show that Al3+ doping induces the formation of a Ce-Al-O solid solution, which optimizes the distribution of oxygen vacancies on the support surface through strong metal-support interactions (SMSIs), thereby enhancing the dispersion of active metal Ru. At a space velocity of 15 000 h-1 and reaction temperature of 525 ℃, the Ru/3Ce-Al catalyst achieved an ammonia-conversion efficiency of 93%. Its balanced performance over a wide temperature range (500 ℃ -550 ℃) effectively excessive minimized reaction rates at high temperatures that could lead to catalyst sintering. After 100 h of operation, the catalyst maintained an ammonia-conversion efficiency of 91.8%. An ammonia-hydrogen fuel-cell-based energy supply system, constructed using this catalyst, exhibited power, voltage, and current fluctuations of only 2.3%, 1.1%, and 0.6%, respectively, under a 2 kW load. Furthermore, in step-load tests (0.22 kW→0.45 kW→0.22 kW), the system demonstrated rapid power and current responses with pressure fluctuations below 5‰. This result verified its dynamic response capability and operational stability in complex environments.

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    Spatiotemporal evolution and trend analysis of suspended sediment mass concentration in the Yellow River Estuary and adjacent sea areas using Google Earth Engine
    FAN Qianyi, LIU Fangyuan, JI Zelu, BIAN Xiaodong, YU Dingfeng, ZHAO Xinqi
    Shandong Science    2025, 38 (3): 51-63.   DOI: 10.3976/j.issn.1002-4026.2025024
    Abstract163)   HTML10)    PDF(pc) (11832KB)(25)       Save

    Suspended sediment mass concentration (ρSSC) is a key indicator of estuarine water quality, influencing water transparency, turbidity, nearshore ecosystems, and shoreline stability. In this study, ρSSC dynamics in the Yellow River Estuary and adjacent sea areas were analyzed from 1984 to 2024 using satellite remote sensing data processed on the Google Earth Engine platform. We examined the spatiotemporal distribution patterns, long-term trends, and primary drivers of ρSSC changes. Over the 41-year period, ρSSC exhibited a general declining trend, with low-ρSSC waters increasingly dominant. High Suspended sediment mass concentration regions became more localized near the coast, primarily in southern Bohai Bay and the southwestern coast of Laizhou Bay, forming a banded distribution. Theil-Sen Median slope estimation and Mann-Kendall trend analysis revealed significant ρSSC increases in the Qingba waterway and artificial distributary channels, whereas significant decreases were observed in the Qingshui Ditch area. Bohai Bay and Laizhou Bay showed a slight upward trend overall. Human interventions, particularly river course diversions, significantly influenced ρSSC patterns: historical high Suspended sediment mass concentration estuarine zones contracted, whereas new high Suspended sediment mass concentration zones expanded seaward following each diversion.

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