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    Sparse array optimization method using a dynamic genetic algorithm
    YAO Fengwei
    Shandong Science    2026, 39 (4): 79-86.   DOI: 10.3976/j.issn.1002-4026.2025046
    Accepted: 09 December 2025
    Online available: 09 December 2025

    Abstract2728)   HTML10)    PDF(pc) (1732KB)(660)      

    To address the optimization challenges associated with two-dimensional sparse arrays, this study proposes an improved dynamic genetic algorithm.This algorithm focuses on reducing the number of array elements while enhancing peak sidelobe suppression. This proposed algorithm introduces an evolutionary completion index that integrates the number of iterations and population fitness to accurately characterize the evolutionary progress of the population. In addition, according to this index, dynamically adjustable crossover and mutation operators are designed, which enable the algorithm to flexibly adjust crossover and mutation probabilities to satisfy the needs of different optimization stages, thereby improving the overall optimization performance.The experimental results revealed that compared with traditional genetic algorithms, the proposed algorithmcan effectively suppress the peak sidelobe ratio by more than 3.9 dB in sparse array optimization, thereby exhibiting robust adaptability and stability across various sparsity levels.

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    Evaluation and location optimization of public charging stations using multisource spatiotemporal data
    HE Jia, HU Yanlei, WANG Tao
    Shandong Science    2026, 39 (3): 22-32.   DOI: 10.3976/j.issn.1002-4026.2025061
    Accepted: 07 January 2026
    Online available: 07 January 2026

    Abstract2459)   HTML5)    PDF(pc) (5131KB)(509)      

    With the increasing number of new energy vehicles globally, the density and spatial distribution of urban public charging infrastructure lag behind demand. Moreover, supply-demand imbalance has become an increasingly prominent issue, posing a key bottleneck in the development of green mobility. To address this challenge, this study considers Shunyi District, Beijing, as a case study to propose a comprehensive evaluation and location optimization method for public charging stations using multisource spatiotemporal data. By combining multisource spatiotemporal data such as vehicle trajectories and points of interest, we constructed a spatiotemporal distribution model of urban charging demand to accurately characterize the dynamic charging loads in different functional zones. Furthermore, through traffic accessibility analysis and charging behavior simulation, the effectiveness of the layout of the existing stations is quantitatively assessed and service blind spots are identified. The results reveal that the service capacity in some high-demand areas of Shunyi District is insufficient, with considerable coverage gaps. To overcome this issue, we used the K-means clustering algorithm to identify the cores of unmet demand and proposed a priority-based construction plan for new stations. This study provides a theoretical basis and a practical approach for mitigating regional supply-demand imbalances and enhancing the scientific layout and systemic adaptability of urban public charging facilities.

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    Road adaptability simulation of double-trailer trains based on vehicle dynamics
    QU Huaikun, YAN Xincai, QUAN Yukun, SONG Yunlong, LIU Qingjie, ZHAO Kan, QIU Zhaowen
    Shandong Science    2026, 39 (4): 87-96.   DOI: 10.3976/j.issn.1002-4026.2025070
    Accepted: 27 January 2026
    Online available: 27 January 2026

    Abstract2265)   HTML7)    PDF(pc) (3471KB)(574)      

    To investigate the adaptability of double-trailer trains on typical roads in China, two simulation models for double-trailer trains were developed based on vehicle dynamics. Typical road scenarios, such as freeway ramps, freeways, U-turns, interchanges, and intersections, were constructed on the Trucksim platform. The road adaptability of double-trailer trains was simulated and evaluated based on maximum swept road width and rearward amplification factor. Simulation results reveal that both models travel normally along the target trajectory and exhibit high adaptability to the constructed scenarios, except for scenarios with excessively small turning radii or low road adhesion coefficients. A comparative analysis reveals that the rear unit of the C-double model achieves a higher degree of trajectory coincidence between the rear unit and tractor unit, thereby demonstrating better pass ability, whereas the B-double model, with wheel connections between all units, is more stable during driving.

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    Quantitative analysis of seven major ginsenoside components of Panaxquinquefolius L. from different origins
    ZHU Heng, DING Hui, WANG Xiao, LI Lili
    Shandong Science    2025, 38 (5): 1-9.   DOI: 10.3976/j.issn.1002-4026.20240118
    Accepted: 23 September 2025
    Online available: 23 September 2025

    Abstract509)   HTML308)    PDF(pc) (2346KB)(386)      

    Panaxquinquefolius L. is a medicine-food homology used in traditional Chinese medicine,of which ginsenosides are an important active component.The ginsenoside content of Panaxquinquefolius L. is closely related to its quality. Due to the effects of the geographical environment,the ginsenoside content of Panaxquinquefolius L.from different origins varies. Based on liquid chromatography-mass spectrometry,this study established a quantitative analysis method for seven major ginsenoside components,through which the content of 27 batches of samples from domestic and foreign origin swasanalyzed. The results showed that the contents of ginsenosides Rb1,Re,Rg1,Rd,Ro,and the pseudoginsenoside F11 were highest in the Panaxquinquefolius L. produced in Canada. The contents of the ginsenosides Rb1,Rg1,Rd,and Ro in the Panaxquinquefolius L. produced in the United States were higher than those from the three domestic production origins (Jilin,Shandong,and Liaoning province). The contents of the ginsenoside Re and the pseudoginsenoside F11 in Panaxquinquefolius L.produced in Shandong were higher than those produced in the United States. The contents of the rare ginsenoside Rg3 in the Panaxquinquefolius L. produced in Jilin and Liaoning were higher than that of the United States and Canada. This study revealed the differences in the content of seven ginsenosides in Panaxquinquefolius L. with foreign and domestic production origins,thereby providing technical support forquality control and improving quality standards for Panaxquinquefolius L.

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    Analysis of differential metabolites in different parts of Lonicera japonica Thunb. based on non-targeted metabolomics technology
    ZHANG Xuxin, ZHANG Luzhe, LIN Shuqian, ZHAO Zengcheng, MENG Zhaoqing, DONG Xiaodi, CAO Guiyun, HE Jixiang, WANG Daijie
    Shandong Science    2025, 38 (6): 29-41.   DOI: 10.3976/j.issn.1002-4026.20240129
    Accepted: 09 July 2025
    Online available: 09 July 2025

    Abstract451)   HTML149)    PDF(pc) (4391KB)(101)      

    To investigate the metabolic differences among different parts of Lonicera japonica Thunb.,a nontargeted metabolomics study was conducted on its stems, leaves, and flowers using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS).Intotal,773 metabolites in positive-ion mode and 572 and 572 metabolites in negative-ion mode were identified in samples from different parts of L. japonica Thunb.; 553 differential metabolites were detected by comparing leaves and flowers; and 471 differential metabolites were detected by comparing stems and flowers, mainly phenolic acids, amino acids and their derivatives, flavonoids, and isoflavones. The pathways related to differential metabolites mainly include phenylpropanoid biosynthesis, flavonoid and flavonol biosynthesis, purine metabolism, and anthocyanin biosynthesis. This study analyzed the predominant compounds and important metabolic pathways involved in different parts of L. japonica Thunb.,i.e.,the stems,leaves, and flowers,comparing them with medically used flowers. The findings provides a scientific basis for the further development and utilization of L. japonica Thunb. resources.

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    Quality control study of Jingfang granules through combined fingerprinting and comprehensive assessment of activity
    MIAO Ran, GUAN Yongxia, GUO Huanying, ZHANG Guimin, WANG Xiao, ZHAO Hengqiang
    Shandong Science    2025, 38 (5): 22-30.   DOI: 10.3976/j.issn.1002-4026.20240104
    Accepted: 22 September 2025
    Online available: 22 September 2025

    Abstract388)   HTML72)    PDF(pc) (1955KB)(76)      

    Combined fingerprinting and comprehensive assessment of activity techniques were used in this study to determine the quality control of Jingfang granules. Separation was performed using an Agilent TC-C18 chromatographic column (4.6 mm×250 mm,5 μm),gradient elution performed using an acetonitrile-0.8% formic acid aqueous solution,and ESI-TOF/mass spectrometer was used for analysis. The chemical constituents of Jingfang granules were identified through the precise molecular weight information of the parent and daughter ions of compounds and by consulting references. Molecular docking was used to examine the bonding ability of the following five chemical componentsto neuraminidase (NA): prim-O-glucosylcimifugin (POG),ferulic acid,hesperidin,naringin,and sec-O-glucosylhamaudol (SOGH). The antioxidant activity of the five components was evaluated by an ABTS free radical scavenging in vitro experiment. Fingerprinting and quantitative assay were used to evaluate the quality of Jingfang granules. From the results,twenty-four chemical components were identified within the Jingfang granules. Molecular docking results revealed the high binding capacity of NA to POG,ferulic acid,naringin,and SOGH,with a minimum recorded binding energy of <-5 kcal/mol. Free radical scavenging in vitro experiments revealed that all the five components exhibited certain antioxidant activities. The compositional similarity of different batches of Jingfang granules was found to be relatively close,but there were some differences in the content of the five components,which may be attributed to differences in the sources of Chinese herbal medicines.This study provides methodological and conceptual support for overall quality evaluation studies of Jingfang granules.

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    Difference analysis of ginsenosides in different parts of Panax quinquefolius L. based on liquid chromatography-mass spectrometry
    LIU Yuemeng, DONG Hongjing, XIE Yao, WANG Xiao, LIU Jing, LI Lili
    Shandong Science    2026, 39 (3): 12-21.   DOI: 10.3976/j.issn.1002-4026.2025064
    Accepted: 12 December 2025
    Online available: 12 December 2025

    Abstract377)   HTML19)    PDF(pc) (5170KB)(324)      

    Ginsenosides are important chemical components of Panax quinquefolius L. and are closely related to its pharmacological activities. In this study, ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) was used for high-throughput analysis of ginsenosides in the roots, leaves, and seeds of Panax quinquefolius L., leading to the identification of 72 ginsenosides across these parts. Both univariate and multivariate analyses revealed significant differences in the content and types of ginsenosides among the different plant parts. Based on statistical significance (p<0.05) and biological significance (fold change>4), 23 differential saponins were identified in the roots vs. leaves comparison, 26 in the roots vs. seeds comparison, and 27 in the leaves vs. seeds comparison. Content analysis revealed that the total amounts of Rg1, Re, and Rb1 in the leaves and roots were roughly equivalent and higher than in the seeds, while most other ginsenosides were more abundant in the leaves and roots than in the seeds. The pseudo-ginsenoside F11, which is unique to Panax quinquefolius L., was most abundant in the leaves, whereas acetylated pseudo-ginsenoside F11 was most abundant in the roots. 20(S)-Ginsenoside Rh1, acetylated ginsenoside Rg1, and quinquenoside IV were all significantly different among the three parts and could serve as markers for differentiation. This study reveals distinct ginsenoside profiles in the roots, leaves, and seeds of Panax quinquefolius L., providing technical support for its efficient development and utilization.

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    Optimization of enzyme-water continuous extraction of ginsenosides from fibrous roots of American ginseng using response surface methodology
    WANG Haiyan, YU Ping, WANG Xin, YU Hongxia, ZHOU Jie, FANG Lei
    Shandong Science    2025, 38 (5): 10-21.   DOI: 10.3976/j.issn.1002-4026.20240113
    Accepted: 21 March 2025
    Online available: 23 September 2025

    Abstract366)   HTML46)    PDF(pc) (4658KB)(120)      

    To optimize the extraction process for ginsenosides from the fibrous roots of American ginseng,the enzyme-water method was used for continuous extraction of ginsenosides from American ginseng. The total ginsenosides extraction yield was used as the evaluation index,and the extraction process was optimized using the response surface methodology. The results showed that the optimal enzymatic extraction conditions were as follows: α-amylase with an enzyme concentration of 7.3%,a liquid/solid ratio of 30 mL/g,and an enzymatic hydrolysis time of 1.2 h. After enzymatic hydrolysis,a secondary water extraction was performed,and the optimal conditions were as follows: a liquid/solid ratio of 27 mL/g,an extraction temperature of 89 ℃,and an extraction time of 1.3 h. Under these conditions,the total ginsenosides extraction yield reached 16.61%. Since it is stable,simple,and efficient,this method has significantly improved the extraction yield and avoided the waste of resources. It partially fills a gap in the extraction process of total ginsenosides from the fibrous roots of American ginseng and provides a reference for further purification,refinement,and activity studies of total ginsenosides.

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    Research on an adaptive accident duration-prediction model based on freeway accident data
    JIANG Xiaoqing, WAN Qingsong, HAO Wenbang, LI Li, CHENG Weiping
    Shandong Science    2025, 38 (5): 104-114.   DOI: 10.3976/j.issn.1002-4026.20240094
    Abstract352)   HTML24)    PDF(pc) (3262KB)(48)      

    Freeway traffic accidents seriously affect road safety and accessibility. Accurately predicting the durations of accidents is key to improving emergency response efficiency,alleviating traffic congestion,and reducing the risk of secondary accidents. This paper proposes an adaptive parameter-optimization model based on a deep belief network (DBN) and genetic algorithm (GA) for predicting traffic accident durations. Traffic accident data from freeways in Shandong province were collected from 2020 to 2022,including 16 variables such as road,temporal attributes,and environmental attributes. The Spearman correlation coefficient and box plots were used to analyze the correlation between each variable and the accident duration,ensuring the validity and significance of the selected variables. Based on this analysis,we developed an adaptive parameter optimization-based prediction model,GADBN,using numerous traffic accident data. This model integrates the global search and optimization capabilities of the GA to notably improve the predictive accuracy of the DBN. To validate the model effectiveness,experimental comparisons were conducted with other algorithms such as support vector regression,radial basis functions,XGBoost,and DBNs,with mean absolute percentage error (δMAPE) and root-mean-square error (δRMSE) being used as evaluation metrics. The experimental results showed that the GADBN model achieved δMAPE and δRMSE values of 16.49% and 9.12,respectively,outperforming the other comparison models,thereby demonstrating its effectiveness and practicality.

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    Topological analysis reveals mechanism of Panax notoginseng saponin in the treatment of gouty arthritis based on network pharmacology and in vitro experiments
    GUO Yingjian, YU Jinqian, DONG Hongjing, WANG Chuangchuang, ZHONG Kai, WANG Xiao
    Shandong Science    2025, 38 (5): 40-48.   DOI: 10.3976/j.issn.1002-4026.20240121
    Accepted: 01 July 2025

    Abstract347)   HTML20)    PDF(pc) (3947KB)(2072)      

    In this study,we analyzed the active components and mechanism of Panax notoginseng saponin (PNS) in treatment of gouty arthritis (GA) through network pharmacology,molecular docking,and cellular experiments. An in vitro hyperuricemia cell model was established using adenosine and xanthine oxidase to induce HK-2 cells. Moreover,the uric acid-lowering activity of PNS at different doses was assessed. Network pharmacology was used to explore the potential mechanism of PNS in the treatment of GA,and key targets were validated using molecular docking. Results revealed that PNS could inhibit the release of uric acid from renal tubular epithelial cells that was induced by adenosine and xanthine oxidase. In addition,15 key targets related to GA intervention were identified from PNS. Results of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses suggested that PNS may exert therapeutic effects on GA by regulating multiple signaling pathways,such as JAK2-STAT3,AGE-RAGE,and calcium signaling. The molecular docking results showed that the binding energies of each active component with key targets such as STAT3,PTAFR,and IL2 were all lower than -5 kcal/mol,indicating good affinity,which can be used as potential therapeutic targets. This study provides a reference for the use of PNS in the treatment of GA.

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    Spatiotemporal evolution and prediction of carbon storage in the mountainous areas of the Qinghai-Xizang Plateau: A case study of the source region of the Yellow River
    LI Shan, SHEN Enting, MENG Yingpeng, CHEN Xu
    Shandong Science    2026, 39 (3): 54-67.   DOI: 10.3976/j.issn.1002-4026.2025031
    Accepted: 08 September 2025
    Online available: 08 September 2025

    Abstract335)   HTML16)    PDF(pc) (6829KB)(450)      

    Land-use change, as a key driving force of the terrestrial ecosystem carbon cycle, plays a critical role in assessing carbon balance and promoting sustainable development. Based on the land-use change patterns in the source region of the Yellow River in the mountainous areas of the Qinghai-Xizang Plateau from 2000 to 2020, this study developed an integrated CA-Markov-InVEST-OPGD model to reveal the spatiotemporal evolution of land cover and carbon storage, analyze the driving mechanism of carbon-storage changes, and predict the characteristics of carbon storage changes in a natural change scenario in the source region of the Yellow River in 2030. The results showed that from 2000 to 2020, grasslands in the source region of the Yellow River declined, while unused land and water areas expanded, leading to an overall reduction in carbon storage, with high-value areas shifting toward the northwest. NDVI, elevation, and temperature were the main factors affecting carbon storage in the region, with NDVI interacting most significantly with temperature, precipitation, and population density. In the natural change scenario in 2030, the grassland area will continue to shrink while the water area will increase significantly. Carbon storage in the east and south will decline significantly, while carbon storage in some areas in the west and north will increase significantly. The overall spatial concentration of carbon storage will tend to decrease, with notable local increases and decreases. Therefore, it is essential to undertake grassland ecological protection and restoration efforts to enhance carbon sink capacity and promote regional carbon balance.

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    Dynamic characteristics of a trough solar energy-coupled compressed air energy storage system
    QIN Haoxuan, CHEN Wei
    Shandong Science    2025, 38 (5): 64-78.   DOI: 10.3976/j.issn.1002-4026.20240133
    Abstract312)   HTML6)    PDF(pc) (5643KB)(32)      

    Under the national dual-carbon policy and energy transition,the need for coordinated development between compressed air energy storage (CAES) technology and renewable energy has grown significantly. A solar auxiliary reheating compressed air energy storage (SAR-CAES) system is proposed. The system integrates a parabolic trough solar collector with an advanced adiabatic CAES system for achieving energy release. A mathematical model of the trough solar collector and a three-stage expansion advanced adiabatic compressed air energy storage system were established. Using the discretization algorithm in Matlab,the models were coupled to analyze the impact of months and latitudes on key system parameters. Results show that the resultant dynamic model satisfies the first and second laws of thermodynamics. After auxiliary heating,the heat load of the auxiliary heat exchanger increased clearly. Medium regenerator and Low regenerator barely participated in heat exchange,but generated considerable exergic loss. The efficiency of compressed air energy storage clearly improved after auxiliary heating,reaching its peak during the summer solstice at the Tropic of Cancer. The effective utilization efficiency of the solar energy in this system is higher than that of a solar-driven ammonia-water regenerative Rankine cycle system,with a maximum efficiency during the winter solstice—67.86% higher than that of the ammonia-water power cycle.

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    Effects of direct-contact ultrasonic vacuum drying on the drying characteristics and quality of dandelion
    CAI Yuanyuan, DONG Hongjing, SHAO Rencai, LIU Feng
    Shandong Science    2026, 39 (1): 1-10.   DOI: 10.3976/j.issn.1002-4026.2025032
    Accepted: 18 November 2025
    Online available: 18 November 2025

    Abstract306)   HTML15)    PDF(pc) (1660KB)(47)      

    This study investigated the effects of direct-contact ultrasonic vacuum drying on the drying characteristics and quality of dandelion. Dandelion samples were dried under different ultrasonic power levels and compared with samples processed via vacuum freeze-drying, shade drying, and hot-air drying in terms of color, flavonoid content, and cichoric acid content. Results showed that the drying rate increased with increasing ultrasonic power and drying temperature. The Page and Two-term models provided the best fit for the drying kinetics. The color of samples dried via direct-contact ultrasonic vacuum drying at 192 W was closest to that of fresh samples among all considered methods. At 192 W, the flavonoid content in the solution after rehydration was significantly higher than that obtained using other drying methods(p<0.05). In addition, total flavonoid and cichoric acid contents at 192 W were 57.09 and 12.35 mg/g, respectively. Furthermore, comprehensive evaluation using the entropy weight-grey relational analysis method showed that the samples dried at 192 W exhibited the highest correlation degree and ranked first overall among all drying methods. This study confirms that direct-contact ultrasonic vacuum drying can effectively improve the drying characteristics and quality of dandelion, providing references for applications in food and traditional Chinese medicine.

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    Characteristic chromatograms and content determination of artificial musk in Liushen series preparations based on gas chromatography
    GUO Lumei, WANG Yingchao, ZHANG Zhenkai, LIU Xingpeng, CHEN Feng
    Shandong Science    2025, 38 (6): 42-51.   DOI: 10.3976/j.issn.1002-4026.2025021
    Accepted: 28 October 2025
    Online available: 28 October 2025

    Abstract300)   HTML8)    PDF(pc) (3729KB)(21)      

    A scientific, unified, and reliable characteristic chromatograms and determine the content of artificial musk in the Liushen series of preparations was established using gas chromatography (GC) to accurately reflect its quality, providing an experimental basis for subsequent revisions of quality standards. The similarity of characteristic chromatograms from 39 batches of Liushen series preparations was analyzed using Traditional Chinese Medicine Chromatographic Fingerprint Similarity Evaluation Software(2012 version), with similarities all above 0.995. Liushen pills exhibited 5 characteristic peaks, while Liushen capsules showed 4, one of which was identified as muscone. The content of artificial musk in three types of preparations was determined, with muscone showing a good linear relationship within the range of 0.006 4~0.638 8 mg/mL(R=0.999). The average recovery rates(relative standard deviation) for pills, capsules, and gel agents were 102.3% (1.0%), 97.3% (1.5%), and 103.1% (1.6%) respectively. The established GC characteristic chromatograms and content determination method can comprehensively reflect the quality of artificial musk in LiuShen series preparations and can be used for quality control of artificial musk in these preparations.

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    A high-throughput sequencing-based exploration of the effects of Qiteng Xiaozhuo granules on miRNA expression profiles in chronic glomerulonephritis
    YU Mingzhe, XU Zhen, QIN Xiujuan
    Shandong Science    2025, 38 (5): 31-39.   DOI: 10.3976/j.issn.1002-4026.20240117
    Accepted: 22 September 2025

    Abstract300)   HTML6)    PDF(pc) (4116KB)(15)      

    Using microRNA (miRNA) high-throughput sequencing technology,this study investigatedthe effects of Qiteng Xiaozhuo granules (QTXZG) on miRNA expression in the glomerular tissue of rats with chronic glomerulonephritis (CGN). Sprague Dawley (SD) rats were randomly divided into three groups: the control group,the model group,and the group receiving QTXZG(n=3). A CGN model was preparedvia intravenous injection of adriamycin into the tail,followed by 30 days of QTXZG administration via oral gavage.The histopathological effects on rat glomerular tissue were assessed using hematoxylin and eosin staining(HE),and miRNA sequencing was used to identify differentially expressed miRNAs. Subsequent Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to predict related mRNAs. HE staining showed that the model group had a thicker glomerular basement membrane and increased inflammatory cell infiltration compared with those in the control group,both of which were significantly improved after undergoing QTXZG treatment. miRNA sequencing revealed 28 differentially expressed miRNAs in the model group compared with the control group,whereas the QTXZG group had 28 differentially expressed miRNAs compared with the model group. A total of 12 differentially expressed miRNAs were identified across the three groups,and after predicting their mRNAs,eight core mRNAs were identified. GO analysis highlighted the negative regulation of dendritic spine maintenance and enrichment in glutamate-gated calcium ion channel activity,whereas KEGG analysis indicated the involvement of the Rap1,cAMP,and RAS signaling pathways. qRT-PCR results confirmed that miRNA expression levels in rat glomerular tissue across the three groups were consistent with the trends observed in the sequencing results. QTXZG regulates the expression of miRNAs,which may,in turn,affect the Rap1,cAMP,and RAS signaling pathways,thus playing a potential role in CGN prevention and treatment.

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    Preparation and process optimization of pitaya pigment lipstick
    SONG Yingxuan, YIN Xinyi, LIANG Shulei, ZHANG Xinyu, ZHENG Zhenjia
    Shandong Science    2025, 38 (6): 52-59.   DOI: 10.3976/j.issn.1002-4026.2025025
    Accepted: 23 October 2025
    Online available: 23 October 2025

    Abstract295)   HTML5)    PDF(pc) (1611KB)(15)      

    A natural pigment lipstick was developed using pitaya pigment as the primary ingredient. Four factors—the amounts of beeswax, coconut oil, cocoa butter, and pitaya pigment—were selected. Single-factor and response surface tests were conducted, with comprehensive sensory evaluation as the assessment criterion, to determine the optimal formulation for the pitaya pigment lipstick and to conduct texture analysis. The results showed that the optimal formulation for the pitaya pigment lipstick comprised 22.14% beeswax, 67.02% coconut oil, 5.56% cocoa butter, and 5.28% pitaya pigment. Under these conditions, the validation test yielded a sensory evaluation score of 95.07±1.08, which closely matched the predicted value. The resulting lipstick had a smooth texture, moderate hardness, stable color, and caused no sensitive irritation to the skin. This study provides a reference for the development of pitaya byproducts and meets consumer demand for natural and safe products.

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    Exploring the mechanisms underlying the differences in the “warming the middle to dispel cold” effects of dried and baked ginger based on UPLC-Q-TOF-MS/MS combined with network pharmacology
    LI Junxian, LIU Shuang, MI Yuzhang, LU Tengfei, WANG Xiao, DONG Hongjing, LIU Ziyao
    Shandong Science    2026, 39 (1): 21-30.   DOI: 10.3976/j.issn.1002-4026.2025015
    Accepted: 19 November 2025
    Online available: 19 November 2025

    Abstract286)   HTML11)    PDF(pc) (4015KB)(33)      

    Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) was used to analyze the differences in chemical composition of dried and baked ginger.Then, network pharmacology was applied to investigate the mechanisms underlying their differences in efficacy. The chemical components of dried and baked ginger were analyzed using UPLC-Q-TOF-MS/MS, and the differential compounds were screened using partial least squares-discriminant analysisand random forest methods. SuperPRED and GeneCards databases were employed to retrieve drug and disease targets, respectively.Common targets were identified using Venn diagram mapping. Protein-protein interaction networks were constructed using the STRING database, and key targets were subjected to GO and KEGG enrichment analyses using the DAVID database.The UPLC-Q-TOF-MS/MS identified 61 chemical components, screening out 13 differential compounds (e.g., 7-gingerol, 12-gingerol, and gingerenone A). The network pharmacology results revealed that dried ginger mainly acts on targets such as MAPK1, PTGS1, and OPRD1, mediating the expression of signaling pathways such as interleukin-17, toll-like receptor, and TNF to alleviate inflammatory responses, exerting a “warming the middle to relieve pain” effect. Baked ginger mainly targets APEX1, SLC6A5, and NFKB1, mediating the HIF-1 signaling pathway, neurotrophin signaling pathways, and apoptosis to block pain signal transmission, exerting a “warming the middle to dispelling cold” effect. By integrating chemical composition analysis and network pharmacology, this study elucidated the mechanisms underlying the distinct therapeutic effects of dried and baked ginger, providing a scientific basis for their clinical applications.

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    Development of a dual-wavelength instrument for measuring the volume scattering function of aquatic particles
    TAO Bangyi, HAN Chang, LI Yunzhou, PAN Yaorui, LI Changpeng, MAO Zhihua
    Shandong Science    2025, 38 (6): 1-9.   DOI: 10.3976/j.issn.1002-4026.2025054
    Accepted: 18 November 2025
    Online available: 18 November 2025

    Abstract286)   HTML22)    PDF(pc) (3777KB)(46)      

    The volume scattering function (VSF) of aquatic particles is one of the most important inherent optical properties of water. However, a VSF measurement instrument in China that can cover multiple wavelengths and a wide angular range remains to be investigated. Herein, we developed a dual-wavelength (488 nm and 532 nm) aquatic particle VSF measurement system that integrates dual-periscope optical configuration with a rotating detector. This system enables VSF measurements across a scattering angle range of 1.5°~178.5° for both wavelengths. According to the optical configuration and radiative transfer principles of the system, baseline correction, angular calibration, and amplitude calibration experiments were conducted on the system. The measurement results for 3 μm polystyrene standard particles agreed well with the Mie scattering theoretical values, demonstrating the VSF measurement accuracy of the system. The system was used to perform dual-wavelength VSF measurements of natural seawater particles from the East China Sea and South China Sea and to analyze the differences in VSF characteristics between the two wavelengths. The measured VSFs can provide a basis for VSF parameterization in the radiative transfer models. In addition, asymmetry factors were calculated from the measured data to analyze the differences in scattering characteristics between the two wavelengths from the volume scattering perspective.

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    Screening,identification and functional evaluation of trichoderma strains antagonistic to strawberry anthracnose
    LIU Jianhua, JIANG Yanqing, LI Hongmei, YANG Jianwen, WEI Yanli, LIU Baojun, LI Jishun, HU Jindong
    Shandong Science    2025, 38 (6): 60-68.   DOI: 10.3976/j.issn.1002-4026.2025027
    Accepted: 11 September 2025
    Online available: 11 September 2025

    Abstract284)   HTML6)    PDF(pc) (3760KB)(36)      

    In response to the severe incidence and management challenges of strawberry anthracnose, this study targeted Colletotrichum siamense, the pathogen responsible for the disease.We used dual culture and sealed-plate assays to screen for the effective biocontrol Trichoderma strain HB 23422, which exhibited strong antagonistic activity against strawberry anthracnose,and was identified based on morphological characteristics and molecular biology as Trichoderma asperellum. On PDA plates, HB 23422 exhibited a strong inhibitory effect on Colletotrichum siamense CM9, with an inhibition rate of more than 74.55%. Vitro leaf experiments and pot experiments showed that the spore suspension of this strain could effectively reduce the incidence of strawberry anthracnose. The strain HB 23422 grows rapidly, produces abundant spores, and has excellent disease control efficacy, indicating its potential for development as microbial pesticide for environment friendly control of strawberry anthracnose.

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    Distribution and variability of annual maximum short-duration precipitation in Shandong Province
    HUAN Haijun, LIU Yan, GE Ruiting, QIU Can
    Shandong Science    2026, 39 (3): 87-99.   DOI: 10.3976/j.issn.1002-4026.2025029
    Accepted: 05 February 2026
    Online available: 05 February 2026

    Abstract279)   HTML5)    PDF(pc) (12489KB)(451)      

    In recent years, extreme precipitation events have become increasingly frequent in Shandong Province. To improve the monitoring, forecasting, and early warning of these short-duration events, this study analyzes minute-level precipitation data from 99 national meteorological stations in Shandong Province, covering the period from 1991 to 2020. Using the climate tendency rate, wavelet analysis, and empirical orthogonal function decomposition, we examine the spatiotemporal distribution and variability of annual maximum precipitation across different short durations. The results indicate that both the average and maximum values of annual maximum precipitation for all short durations increase progressively from central and eastern Shandong outward, peaking in southern Shandong. In most parts of southern Shandong, these annual maxima show a decreasing trend over time, whereas most other areas exhibit an increasing trend. For 5 min durations, the spatial variability trends are generally consistent, with intensity centers located in northwestern Shandong. For the 30 min and 60 min durations, eastern and southern Shandong, as well as the eastern Shandong Peninsula, show trends opposite to those in other regions, with negative intensity centers in central-western, northwestern, and southwestern Shandong. For the 90 min, 120 min, and 180 min durations, the eastern central region and the eastern Shandong Peninsula display opposite trends, with positive intensity centers in southwestern Shandong. Each duration shows significant 2 to 3 year periodicities. An abrupt change was detected in 2004 for the 5 min duration, leading to a marked decrease thereafter, whereas no abrupt changes were observed for other durations. Overall, most annual maximum short-duration precipitation events in Shandong exhibit an increasing trend. These findings underscore the importance of enhancing monitoring efforts and revising storm intensity formulas, particularly in southern and northwestern Shandong.

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    Public awareness and preference for traditional Chinese medicine acupuncture based on the best-worst scaling
    LI Dongye, CUI Jingru, ZONG Ruiyu, LI Xin, WANG Siyu, JIA Hongling, SONG Haiyan
    Shandong Science    2025, 38 (5): 131-139.   DOI: 10.3976/j.issn.1002-4026.20240134
    Accepted: 11 February 2025
    Online available: 23 September 2025

    Abstract277)   HTML5)    PDF(pc) (1110KB)(30)      

    The purpose of this study is to use the BWS survey method to investigate the acceptance of acupuncture and moxibustion by the general public and what factors affect their choice of acupuncture and moxibustion therapy,and to investigate the existing problems of acupuncture and moxibustion therapy. A total of 219 respondents participated in this survey,the number of valid questionnaires is 201,the number of invalid questionnaires is 18. The study identified the most important and least important factors influencing acupuncture preferences,the most important being "whether acupuncture is effective" and the least important being "personal traditional beliefs",BW scores from high to low (influence from high to low) were: Whether the efficacy of acupuncture is significant,whether the overall health can be adjusted,the level of development of acupuncture technology,whether personalized treatment can be performed,the degree of side effects,the extent of acupuncture treatment,other alternative therapies,the identification and trust of acupuncture culture,fear of acupuncture,economic factors,personal traditional ideas.In the future,the development of acupuncture and moxibustion should pay more attention to the curative effect,strengthen the publicity of the scientific nature of acupuncture and moxibustion,and contribute to promoting the development of acupuncture and moxibustion,improving the policies related to acupuncture and moxibustion and strengthening the public's trust in acupuncture and moxibustion.

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    Research on optimization of deep fermentation conditions for Morchella and its antioxidant activity
    LIAN Hanyu, ZHENG Zhiqi, YU Qing, WANG Jiahui, SHA Yujie, QU Jie
    Shandong Science    2025, 38 (6): 69-76.   DOI: 10.3976/j.issn.1002-4026.20240157
    Accepted: 17 July 2025
    Online available: 17 July 2025

    Abstract277)   HTML7)    PDF(pc) (6630KB)(42)      

    To improve the total antioxidant activity of fermented Morchella, single-factor experiments and response surface methodology were used to optimize the composition and culture conditions of the fermentation medium. In the single-factor experiments, the concentrations of sucrose, yeast powder,(NH4)2SO4, KH2PO4, and MgSO4·7H2O, as well as pH value in the fermentation medium were changed, to screen for optimal conditions based on the total antioxidant value of the fermentation broth. Then, based on the results of the single-factor experiments, three main influencing factors were selected for the Box-Behnken response surface design, and variance analysis and regression analysis were carried out using Design-Expert software. The results showed that the optimal composition of the medium was: yeast extract 4.3 g/L, sucrose 32 g/L, MgSO4·7H2O 1.5 g/L, KH2PO4 1.4 g/L, (NH4)2SO4 2.5 g/L, and a pH of 6. These conditions significantly enhanced the antioxidant activity of the fermentation broth and were cost-effective. The findings of this study provide theoretical and practical guidance for the Morchella fermentation industry, help to improve the quality and antioxidant performance of Morchella fermentation products, and further promote the applications of Morchella in health supplements, cosmetics, and other fields.

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    Research on preparation and properties of rapidly vulcanized nitrile rubber
    LI Yutong, CHEN Dongping, LI Tiezhu, WANG Fushan, LI Lin, WANG Hui
    Shandong Science    2025, 38 (6): 86-93.   DOI: 10.3976/j.issn.1002-4026.20240135
    Accepted: 02 September 2025
    Online available: 02 September 2025

    Abstract276)   HTML4)    PDF(pc) (3475KB)(16)      

    Herein, a wet-mixing process was used to improve the dispersion of fillers in nitrile latex by incorporating three types of accelerators: trialkyl chlorides (TACs), tetramethylthiuram disulfide (TMTD), and zinc dibenzyldithiocarbamate (ZTC). These accelerators were added to cost-effective and readily available nitrile latex, followed by mixing, coagulation, washing, and drying to obtain nitrile rubber nitrile butadiene rubber (NBR). A novel rapidly-vulcanized NBR was developed using the properties of NBR3445F and NBR3345 as reference standards, and the effects of different types and dosages of accelerators on the vulcanization characteristics, mechanical properties, and microstructure of the developed NBR were studied. Results showed that compared with conventional rapidly vulcanized NBR, the developed NBR with 2 parts of accelerator TAC (TAC-2) exhibited 4.7 s higher vulcanization speed, a 138% higher tensile strength, and 59% higher tear strength. This NBR also exhibited substantially higher overall performance than NBRs with the other two accelerators, ZTC and TMTD. These findings were well aligned with the microstructural characteristics observed in scanning electron microscopy image. Based on the premise of ensuring rapid vulcanization speed and safe processing performance, TAC, an accelerator with better performance, can be selected to manufacture a rapidly vulcanized NBR, providing a technical path and an experimental basis for the development of related materials.

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    Fracture analysis of copper nuts in the three-position mechanism of ultra-high voltage circuit breakers
    ZHANG Shumin, WANG Xiaoping, TIAN Jing, XU Huixia, LIU Long, DING Ning
    Shandong Science    2025, 38 (5): 56-63.   DOI: 10.3976/j.issn.1002-4026.20240124
    Abstract272)   HTML3)    PDF(pc) (6622KB)(49)      

    The three-position mechanism represents a critical mechanical component in ultra-high voltage switch circuit breakers,with the copper nut serving as a pivotal element. Premature failure of this component can significantly compromise the operational stability and longevity of the circuit breaker. This comprehensive investigation employs advanced analytical techniques to elucidate the underlying fracture mechanisms of the copper nut. Utilizing a multifaceted analytical approach,the study systematically examined the fracture morphology and material characteristics. Optical microscopy,scanning electron microscopy,and metallographic microscopy were employed to scrutinize the fracture surface and microstructural features. Complementary analyses using X-ray fluorescence spectrometry and electronic universal testing machine characterized the material’s compositional and mechanical properties. The investigation revealed critical insights into the failure mechanism. Multiple crack initiation sites were identified within the fracture zone,characterized by coarse grain structures and an extensive network of precipitate particles localized at grain boundaries. The failure mode was definitively classified as cumulative fatigue damage. The primary crack source originated at the diameter transition of the shaft pin root’a structural stress concentration zone that represents the most vulnerable point in the copper nut’s mechanical design. The findings underscore the importance of structural geometry and material microstructure in predicting and mitigating mechanical failure in critical electromechanical components.

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    Effects of different coagulants on the anaerobic biodegradation of microcystin-LR in water treatment
    MA Guangxiang, JU Tiantian, XIA Yanzhao, CHEN Linlin, SONG Wenyang, LIU Yue
    Shandong Science    2025, 38 (5): 123-130.   DOI: 10.3976/j.issn.1002-4026.20240126
    Abstract272)   HTML4)    PDF(pc) (4325KB)(41)      

    This study investigated the effects of different coagulants—namely chitosan,polyaluminum chloride (PAC),and ferric chloride (FeCl3)—on cyanobacterial cell breakage and microcystin-LR (MC-LR) anaerobic biodegradation in raw water containing algae during conventional drinking-water treatment. Analyses were conducted using three-dimensional excitation emission matrix (3D-EEM) fluorescence spectroscopy,scanning electron microscopy,and enzyme-linked immunosorbent assays. Results showed that coagulated flocs generated by the action of FeCl3 had no significant effect on cyanobacterial cell breakage or total MC-LR degradation. Chitosan initially protected cyanobacterial cells and adsorbed extracellular MC-LR; however,its effectiveness declined over time. Meanwhile,PAC significantly exacerbated cyanobacterial cell breakage,leading to the massive release of intracellular toxins,which ultimately accelerated the degradation rate of total MC-LR. In addition,3D-EEM fluorescence spectroscopy revealed increasing concentrations of five substance types,such as the ammoniacal/tryptophan protein zone and tyrosine/tryptophan zone,indicating that the different coagulants had a significant effect on the production of extracellular polymers in the sludge. Further,the related substances increased in amount the fastest when PAC was used. This study is the first to systematically investigate the mechanisms by which coagulants affect cyanobacterial cells and MC-LR anaerobic degradation,providing an important reference for the efficient removal of cyanobacteria and their toxins from waterworks sludge.

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    Experiment on a fine-scale marine drifting buoy observation network
    LI Bin, ZHANG Wen, LI Yunzhou, ZHAO Qiang, XU Dengke
    Shandong Science    2025, 38 (6): 22-28.   DOI: 10.3976/j.issn.1002-4026.2025050
    Accepted: 14 October 2025
    Online available: 14 October 2025

    Abstract265)   HTML6)    PDF(pc) (5062KB)(26)      

    An innovative marine fine-scale drifting buoy and its networked observation system were designed. The buoy hardware featured a self-developed detachable wave-resistant structure and low-power core component integration technology. With the help of its dual-antenna communication architecture, the buoy was subjected to laboratory and field lake tests to quantitatively evaluate its measurement accuracy, environmental adaptability, and data stability. Based on LoRa-enabled distributed IoT communication technology, an innovative topological networking architecture was used to construct a four-node, 10 km-scale 3D observation network with a packet loss rate of less than 0.1%. FFT spectral analysis was conducted to analyze data features, and a noise reduction method was proposed. Test results showed that the network could synchronously capture quasi-steady-state ocean environmental data, providing a scalable solution for high-density, multi-dimensional, fine-scale ocean monitoring. The research results were applied in teaching practice. In addition, expansion to a 10-node network has been planned to advance the engineering application of fine-scale ocean observation technology.

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    Study of thermodynamic properties of transcritical carbon dioxide energy storage system
    JIANG Jiahui, ZHANG Xuelin, LI Shuangjiang, XUE Xiaodai, CHEN Wei, ZHANG Bin
    Shandong Science    2025, 38 (5): 79-92.   DOI: 10.3976/j.issn.1002-4026.20240105
    Abstract264)   HTML6)    PDF(pc) (7430KB)(148)      

    Carbon dioxide energy storage (CCES),which has evolved from compressed air energy storage,offers advantages such as zero carbon emissions,high energy storage density,safety and reliability. To further utilize the advantages of easy liquefaction and the high energy density of carbon dioxide,a transcritical carbon dioxide energy storage system (TC-CCES) with gas-liquid two-phase changes was proposed. The low-pressure storage tank in the system contains a gas-liquid mixture that remains in transcritical state throughout the operation. Energy and exergy analyses were conducted on TC-CCES,and simulations were performed to obtain the dynamic properties of the system during its operation. In addition,the impact of the initial temperature of the high-pressure gas storage tank on the system was analyzed. The study revealed that lowering the initial temperature of the high-pressure tank enhanced the system efficiency. When the system ran in a stable state,it achieved an efficiency of 56.93% and an energy storage density is 3 510 kJ/m3.

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    A PELT-GM-SARIMA combined forecasting model for highway freight turnover with integrated change-point correction
    LI Xiaowei, HOU Shuzhan, NIU Wendi, CUI Na
    Shandong Science    2025, 38 (5): 93-103.   DOI: 10.3976/j.issn.1002-4026.20240147
    Abstract261)   HTML7)    PDF(pc) (3085KB)(44)      

    To address the limited accuracy of single-model forecasting and challenges faced by combined models in handling abnormal data fluctuations,this study proposes a novel forecasting method integrating mutation point correction into a pruned exact linear time (PELT)-grey prediction model(GM)-seasonal autoregressive integrated moving average (SARIMA) combined model. This method initially employs the PELT algorithm to detect fluctuations in freight turnover data and identify change points. The Grey GM(1,1) model is then used to correct anomalies at these change points,enabling the dataset to better meet the stationarity and randomness requirements for the SARIMA model. Finally,based on the optimized dataset,the SARIMA model is used to perform predictions on the refined data. Using freight turnover data from Beijing as a case study,comparative analysis of different hybrid models reveals that the proposed model exhibits superior performance than other combined models,with significant reductions in mean squared error and mean absolute error and a coefficient of determination close to 1. The PELT-GM-SARIMA model is structurally simple and can better adapt to time-series data with missing values or frequent anomalies,resulting in more accurate predictions. This study presents a more effective approach for traffic predictions in highway transportation planning and investment decision making.

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    Optimization of rice-fired Ganoderma lucidum processing by AHP-EWM and response surface methodology and comparative study on antioxidant activity before and after processing
    LI Zhiyong, LIU Jiangting, ZHANG Guoying, YANG Xueqi, ZHANG Mengxia, ZHAO Pan, ZHANG Xiuyun
    Shandong Science    2026, 39 (3): 1-11.   DOI: 10.3976/j.issn.1002-4026.2025002
    Accepted: 24 March 2026
    Online available: 24 March 2026

    Abstract256)   HTML11)    PDF(pc) (1872KB)(153)      

    This study aimed to optimize the rice-fried processing technology of Ganoderma lucidum, determine the optimal processing parameters, and evaluate the impact of fried Ganoderma lucidum rice on its antioxidant activity.The processing temperature, processing time, and ratio of medicinal material to auxiliary material were used as the influencing factors, and the contents of Ganoderma lucidum polysaccharides, triterpenoids, and extracts, as well as the appearance score of the processed product were used as evaluation indexes. The optimal rice-fried processing parameters were determined using the analytic hierarchy process (AHP)-entropy weight method combined with Box-Behnken design and response surface method.The antioxidant activity before and after processing was compared using ABTS+, DPPH, and hydroxyl radical scavenging assays. The optimized process conditions were as follows:processing temperature of 158.91 ℃, frying time of 10.18 minutes, and a material-to-auxiliary ratio of 1∶0.20. The average comprehensive score obtained from process validation was 91.24 with a relative standard deviation of 0.81%. In vitro antioxidant activity assay results showed that the radical scavenging ability of Ganoderma lucidum significantly increased after processing(P<0.01). The optimized rice-fried process is reliable, stable, and feasible. The rice-fried Ganoderma lucidum prepared using this process exhibited enhanced antioxidant activity, providing a reference for the processing technology and clinical application of Ganoderma lucidum.

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    Network pharmacology study and experimental validation of the Radix Aconiti-Cortex Phellodendri combination for the treatment of recurrent aphthous ulcers based on weighted gene co-expression network analysis and molecular docking
    CAO Mingchen, JING Fanbo, WANG Wenxiao, ZHANG Zenan, LI Wenjing, CHENG Shaoyuan, SHAO Yanlin, YU Hongxia, MENG Fangang
    Shandong Science    2026, 39 (1): 31-42.   DOI: 10.3976/j.issn.1002-4026.2025006
    Accepted: 09 December 2025
    Online available: 09 December 2025

    Abstract256)   HTML6)    PDF(pc) (6891KB)(23)      

    We investigated the molecular mechanisms underlying the treatment of recurrent aphthous ulcers (RAU) using the Radix Aconiti-Cortex Phellodendri combination, based on weighted gene co-expression network analysis (WGCNA) and network pharmacology. A total of 301 active compounds were identified from the Radix Aconiti-Cortex Phellodendri combination, associated with 3 273 potential targets.WGCNA was used to analyze RAU-related genes. The Venn diagram package in R software was employed to identify intersections between drug-related targets and WGCNA modules. Pathway and process enrichment analyses, along with hierarchical clustering, were conducted using KEGG Pathway, GO Biological Processes, and Reactome Gene Sets. These analyses highlighted involvement in apoptosis regulation and signaling, glutathione metabolism, PI3K signaling abnormalities, resistance to epidermal growth factor receptor tyrosine kinase inhibitors, cytokine signaling in the immune system, the PPAR-α pathway, and other processes related to immune regulation, metabolism, and tissue repair.Using the MCODE plugin in Cytoscape v3.7.2, key hub genes within functional modules were identified, including ERBB2, CD44, NFKB1, and MMP2. Molecular docking showed that ERBB2 interacted with most active compounds; diterpenoid alkaloids from Aconitum and flavonoids from Phellodendron primarily targeted CD44; alkaloids from Phellodendron targeted MMP2; and both monoester and diester Aconitum alkaloids mainly targeted NFKB1. These findings suggest a complementary and synergistic effect between the two herbs in preventing RAU recurrence.Experimental validation showed that benzoylmesaconine, a core compound, significantly reduced LPS-induced ROS levels in macrophages, indicating thatRadix Aconiti, as the principal herb (Jun Yao), exerts its therapeutic effects primarily through metabolic regulation.

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    Cross-regional demand-responsive bus dynamic scheduling optimization based on modular vehicles
    ZHANG Ailin, JIA Shunping
    Shandong Science    2026, 39 (1): 77-87.   DOI: 10.3976/j.issn.1002-4026.2025044
    Accepted: 22 December 2025
    Online available: 22 December 2025

    Abstract253)   HTML5)    PDF(pc) (2585KB)(26)      

    To address the issue of low load factors associaated with conventional demand-responsive buses with fixed capacity, this study introduces a modular vehicle system and proposes a cross-regional demand-responsive bus dynamic scheduling optimization method based on modular vehicles. An objective function is established to minimize travel and operational costs for passengers and enterprises, respectively. The concept of coupling stations is introduced, and a dynamic fleet formation model considering coupling stations is designed, which allows for fleet reorganization and passenger transfer across two routes. Using the Big-M method, the model is linearized into a mixed-integer linear programming (MILP) problem for solutions, and the model is validated through a case study of two commuting routes from Jiukeshu to Wangfujing in Beijing. The experimental results show that compared to the introduction of conventional demand-responsive buses with fixed capacity, the introduction of modular buses effectively increases vehicle load factors, reduces operational costs for enterprises, and slightly reduces passenger travel costs. This indicates that the introduction of modular bus systems in urban commuting scenarios can provide a more flexible and efficient operational model for passenger travel and enterprise operations.

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    Carbon sequestration effect of aggregate spray-seeding technology in ecological restoration of damaged slopes
    XU Jianping, ZHANG Shilei, CHEN Chen, ZHU Jianjun, GUO Yupu
    Shandong Science    2025, 38 (5): 115-122.   DOI: 10.3976/j.issn.1002-4026.20240112
    Abstract250)   HTML5)    PDF(pc) (1210KB)(35)      

    Spray-seeding technology can effectively restore the ecological environment of damaged mountain slopes. However,variations in the physicochemical properties of slope soil and vegetation growth conditions—resulting from technical measures and human factors—limit our understanding of carbon sequestration on slopes. This study analyzed the characteristics and influencing factors of carbon storage in damaged slopes in Zhangzhou restored using aggregate spray-seeding technology. The results showed that carbon storage decreased sequentially from the tree layer to soil,root system,and litter layer,with the dominant tree species Leucaena leucocephala in the tree layer contributing significantly to carbon storage. Although the soil layer of the slope is thin,its organic matter content reached 37.98 g/kg,demonstrating the potential of aggregate spray-seeding technology to improve soil quality and carbon storage. The physicochemical properties of the soil,particularly moisture,total phosphorus,and total potassium,significantly affected carbon storage in the ecological restoration area. This study highlights the key role of soil moisture in ecological restoration and carbon sequestration enhancement,providing valuable insights for optimizing slope management measures and improving ecological restoration effectiveness.

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    Research on the layout and route optimization of airport shuttle bus stations based on passenger travel demand data
    HE Jia, ZHAO Xiaoqi
    Shandong Science    2025, 38 (6): 115-124.   DOI: 10.3976/j.issn.1002-4026.20240131
    Accepted: 01 September 2025
    Online available: 01 September 2025

    Abstract250)   HTML6)    PDF(pc) (4130KB)(31)      

    This study analyzed actual passenger travel demand based on city bus and subway card swipe data to provide data support for airport bus station selection and route optimization. First, travel demand centers were identified by analyzing card swipe data, and the K-medoids clustering algorithm was used to cluster city-wide travel demands. The resulting travel demand centers, along with major transportation hubs such as railway stations, were selected as shuttle bus stations to provide passengers with convenient transfer services. Second, optimal routes between stations were generated using network analysis and route optimization algorithms to improve the service coverage and operational efficiency of the airport shuttle. Finally, recommended routes were refined through manual adjustments of the optimal routes. A comparative analysis of route evaluation results revealed that the optimal airport shuttle routes significantly reduced the total walking distance of passengers. This study optimized airport bus station layout and route planning based on actual travel demand, providing scientific support for improving airport transfer services.

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    Screening quality-difference markers of Qingxiao Wuwei Decoction using an integrated “fingerprint-pattern recognition-serum migration components” strategy
    SHI Kaitao, LI Jun, ZHANG Qian, MA Yuheng
    Shandong Science    2026, 39 (1): 11-20.   DOI: 10.3976/j.issn.1002-4026.2025048
    Accepted: 09 December 2025
    Online available: 09 December 2025

    Abstract248)   HTML9)    PDF(pc) (3829KB)(31)      

    By establishing high-performance liquid chromatography (HPLC) fingerprints of Qingxiao Wuwei Decoction (QXWWD) and integrating chemical pattern recognition with in vivo and in vitro component identification methods, this study aimed to screen differential compounds and provide reference data for consistency evaluation and the development of compound preparations. The fingerprints of 18 batches of QXWWD were established evaluated for similarity. Bioinformatics methods were used to analyze potential quality markers. HPLC-Q-Exactive-MS was used to identify in vitro chemical components and serummigration components of QXWWD.Based on the integrated “fingerprint-pattern recognition-serum-migrant components” strategy, quality-difference markers were screened. A total of 28 peaks were identified in the fingerprints of QXWWD, among which 8 quality-difference markers, such as chrysophanol, were selected. In total,85 in vitro chemical components and 55 serummigration components of QXWWD were identified. By finding the intersection of the fingerprint-identified components and those identified in vivo and in vitro using a Venn diagram, we identified chrysophanol as the core quality-difference marker. This study established a simple and reproducible analytical method that can effectively evaluate the quality stability and batch consistency of QXWWD. This method provides reliable data to support process optimization, quality-standard development,and the subsequent development of this prescription.

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    Index selection for a water ecological quality evaluation system in the Jinan section of Xiaoqing River
    ZHENG Linlin, WANG Guangyong, WU Hui, WANG Hui, LIU Jianjun, ZHANG Shuiyan, TIAN Yong
    Shandong Science    2026, 39 (3): 75-86.   DOI: 10.3976/j.issn.1002-4026.2025017
    Accepted: 30 April 2026
    Online available: 30 April 2026

    Abstract247)   HTML4)    PDF(pc) (1300KB)(63)      

    The Xiaoqing River serves as a multifunctional waterway in Shandong Province, supporting flood control, irrigation, and navigation activities. Accurate evaluation of its water ecological quality is crucial for informing ecological restoration and guiding the resumption of navigation. This study conducted field monitoring to assess correlations between water quality parameters and biodiversity indices, aiming to identify appropriate biological indicators at the species, population, and community levels for the Jinan section. A hierarchical evaluation framework was developed by integrating indicators across three levels: physicochemical characteristics, habitat quality, and ecological structure. This system was applied for the first time to assess the water ecological quality of the Jinan section. The results aligned with the observed spatial trend of water quality, characterized by a “high-low-high” pattern from upstream to downstream. The study provides a scientific foundation for ecological restoration and navigation planning in the Xiaoqing River basin and offers a methodological reference for evaluating urban river ecosystems in China.

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    Cable fault location method based on APO-MVMD-Transformer
    SUN Jie, SUN Yuwei, HU Guodong, YIN Haihai, JIANG Xuyong, MA Hongzhong
    Shandong Science    2025, 38 (6): 94-106.   DOI: 10.3976/j.issn.1002-4026.20240144
    Accepted: 18 September 2025
    Online available: 18 September 2025

    Abstract245)   HTML3)    PDF(pc) (5336KB)(23)      

    To address the low accuracy and reliability of existing power cable fault-location methods, a new cable fault-location method based on APO-MVMD-Transformer is proposed in this study. The collected cable fault signal is decoupled through phase-mode transformation to obtain the fault traveling wave signal. The Arctic puffin optimization (APO) optimized multivariate variational mode decomposition (MVMD) parameters are then used to decompose this traveling wave signal. The Teager energy operator is applied to extract instantaneous energy variations in the high-frequency modal components, allowing the identification of the wavefront arrival times. The sampling points corresponding to these times are then used as feature values to construct a feature dataset, which is further employed to optimize the APO-Transformed-based model. Finally, feature dataset are input into the APO-Transformer-based location model to locate cable faults. Results showed that the proposed model exhibited a coefficient of determination as high as 0.999 91, a relative fault-location error within 1%, and a distance error within 100 m, thereby demonstrating high fault location accuracy.

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    Distribution of micron inclusions in steel and their impact on its mechanical properties
    WANG Zhengci, LIU Long, TIAN Linan, LIU Zhe, SUN Wei, LIU Yongchao, WEN Peijian, ZHANG Qing
    Shandong Science    2025, 38 (6): 77-85.   DOI: 10.3976/j.issn.1002-4026.2025007
    Accepted: 24 October 2025
    Online available: 24 October 2025

    Abstract244)   HTML7)    PDF(pc) (3045KB)(21)      

    Under the current technological conditions, inclusions have become inevitable in steel. To investigate the impact of micron inclusions on the mechanical properties of metals, vacuum arc melting was used to control the mass fractions (contents) of micron Al2O3 powder at 0%, 0.2%, 0.6%, 1%, and 2%, thereby preparing samples with different contents of micron inclusions. Statistical analysis of inclusion sizes via computed tomography imaging and scanning electron microscopy (SEM) revealed that most inclusions had a size of <5 μm. Moreover, the quantity of inclusions proportionally increased with increasing Al2O3 content. Mechanical properties were tested using the indentation method; the test results indicated that the addition of a certain amount of micron inclusions can enhance the mechanical performance of a metal. However, when the Al2O3 content exceeded 1%, the tensile strength increase slowed down and the yield strength decreased. SEM observations revealed that at high Al2O3 content, inclusions tended to agglomerate into large inclusions or clusters, which caused local stress concentration. This phenomenon in turn negatively affected the strengthening effect of the micron inclusions on the mechanical properties of the investigated metal.

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    Research on differential cross-multiplying and arctangent demodulation algorithms in DAS systems
    ZHANG Feng, JIANG Yu, SUI Xiang, QIAO Xiaohan, SHANG Ying, ZHAO Wen'an, LÜ Jingsheng, WANG Chen
    Shandong Science    2025, 38 (6): 107-114.   DOI: 10.3976/j.issn.1002-4026.20240137
    Accepted: 12 August 2025
    Online available: 12 August 2025

    Abstract243)   HTML3)    PDF(pc) (4636KB)(8)      

    Distributed acoustic sensing (DAS) systems based on coherent optical time-domain reflectometry (COTDR) can obtain vibration information along the fiber length by demodulating the phase information from the backscattered Rayleigh signal in optical fibers. The phase demodulation algorithm is a key technology for phase extraction in DAS systems, and different algorithms exert varying effects on the demodulation results.This study investigates the impacts of two in-phase quadrature (IQ) demodulation algorithms, i.e.,differential cross-multiplying (DCM) and arctangent (Arctan), on the demodulation results. First, a theoretical analysis and numerical simulations based on DCM and Arctan are conducted. Subsequently, a COTDR-based DAS system is constructed to collect data, which are processed and analyzed using both algorithms. Experimental results indicate that the peak values of the demodulated signals obtained using the two algorithms differ by 0.04 rad, with an observed phase shift of 0.01 rad. In addition, based on the different characteristics of the two algorithms, recommendations for their application scenarios are provided.

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    Apassive jamming control method for synthetic aperture radar based on importance distribution maps
    CHU Weiqin, YU Huijuan, GU Jie, LI Zheng, XIE Xin, ZHANG Jialin
    Shandong Science    2025, 38 (6): 10-21.   DOI: 10.3976/j.issn.1002-4026.20240145
    Accepted: 23 October 2025
    Online available: 23 October 2025

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    Synthetic aperture radar (SAR) is widely employed in geospatial mapping, national defense, and microwave remote sensing due to its capability for high-resolution imaging under all-weather, all-day conditions. Consequently, developing effective jamming techniques to degrade SAR-based target reconnaissance and identification has become a critical challenge in radar countermeasure research. This study proposes a method to generate importance distribution maps through spatial coordinate transformation, capturing the spatial relationships and relative importance of targets within a scene. Based on this map, a SAR passive jamming control method is developed. A U-Net-based architecture is constructed to design a decision-making algorithm for radar jamming strategies, aiming to prioritize the protection of critical targets with minimal resource expenditure. Simulation results demonstrate that this method visualizes the interference problem by constructing an importance distribution map and uses advanced artificial intelligence algorithms for the control and decision-making of passive motion interference devices, achieving collaborative decision-making among multiple interference devices and significantly enhancing the intelligence level of SAR passive interference. Across different scenarios, the algorithm-generated jamming strategies effectively disrupt the target areas, with jamming strips fully covering the regions of interest in each case.

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    Applications of π-conjugated organic small molecules in surface-enhanced Raman spectroscopy
    LIU Mei
    Shandong Science    2026, 39 (2): 8-19.   DOI: 10.3976/j.issn.1002-4026.2025118
    Accepted: 11 December 2025
    Online available: 11 December 2025

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    Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful analytical technique for trace analysis owing to its exceptional sensitivity and unique molecular “fingerprint” recognition capability. However, the widespread application of traditional SERS substrates remains limited by factors such as high cost, poor biocompatibility, and unsatisfactory signal reproducibility. π-conjugated organic small molecules (π-COSMs), with their tunable electronic structures, high crystallinity, and superior charge-transfer properties, provide a promising strategy for developing novel SERS substrates. This review systematically summarizes recent advances in applying π-COSMs to SERS technology. Molecular engineering strategies, including precise modulation of energy levels and substituents within the conjugated system, have been shown to significantly enhance the chemical enhancement (CE) mechanism. Furthermore, constructing organic/two-dimensional material heterostructures enables a synergistic effect between electromagnetic enhancement and CE, substantially improving signal stability and detection sensitivity. These π-COSM-based substrates have shown significant potential in environmental monitoring, offering highly sensitive, selective, and fluorescence-free detection of microplastics and nanoplastics, antibiotics, and their interactions with bacteria. In summary, π-conjugated molecules open a new avenue for developing low-cost and biocompatible SERS platforms. Future research focusing on an in-depth understanding of structure-activity relationships and optimized design is expected to further promote the practical application of SERS technology in single-molecule science and real-time monitoring within complex environments.

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