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20 October 2024, Volume 37 Issue 5
  • Traditional Chinese Medicine and Natural Active Products
    To explore the pharmacodynamic substance basis of Cervi Cornus Colla based on cell membrane chromatography
    SUN Tiefeng, ZHAO Yu, WANG Ping, DING Xianglong, D...
    2024, 37(5):  1-9.  doi:10.3976/j.issn.1002-4026.20230175
    Abstract ( )   HTML( )   PDF (2815KB) ( )  

    Cell membrane chromatography/ultrahigh-phase liquid chromatography-mass spectrometry (CMC/UPLC-MS) was used to screen the active ingredients, i.e., peptides, in the traditional Chinese medicine tablet Cervi cornus Colla, and the obtained spectra were analyzed using Maxquant software, Perseus software, and Uniprot database. Structures of these peptides were identified using Protein Data Bank, and their molecular properties such as their biological activity, adverse reactions, relative molecular mass, isoelectric point, and stability index were predicted using a bioinformatics platform. With an activity probability of 0.09, the peptides were identified as nontoxic, nonhemolytic, sensitizing, and highly hydrophilic, with a relative molecular mass of 1 541.68, a peptide chain length of 14, an isoelectric point of 3.92, and an instability index of 34.39.This method provides a feasible research approach for rapidly screening and identifying active ingredients(e.g., peptides and proteins) that exhibit pharmacological effects.

    Characterization and identification of chemical constituents in Sedum sarmentosum Bung based on UHPLC-Q-Exactive Orbitrap-MS technology
    ZHU Xinyi, YANG Chunguo, TIAN Haitao, HOU Miao, HA...
    2024, 37(5):  10-16.  doi:10.3976/j.issn.1002-4026.20230173
    Abstract ( )   HTML( )   PDF (2810KB) ( )  

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

    Pharmacology and Toxicology
    Mechanism of action indole acetylated high-amylose maize starch in improving ulcerative colitis
    QU Xinyan, LI Qingjun, DING Xingchun, SONG Yingyin...
    2024, 37(5):  17-24.  doi:10.3976/j.issn.1002-4026.20230176
    Abstract ( )   HTML( )   PDF (2925KB) ( )  

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

    The molecular mechanisms by which Xinjia Cistanche Tusi Decoction promotes follicular development through mitophagy
    YAN Jin, LI Fei, WU Keming, YANG Haobo
    2024, 37(5):  25-34.  doi:10.3976/j.issn.1002-4026.20240015
    Abstract ( )   HTML( )   PDF (5480KB) ( )  

    Using light chromatography-mass spectrometry (LC-MS), network pharmacology, and animal experiments, we explored the molecular mechanism by which Xinjia Cistanche Tusi Decoction (XJCRTST) promotes follicular development through granulosa cell mitophagy. LC-MS and network pharmacology were used to screen for the main components of XJCRTST and its therapeutic targets and pathways related to hypoovarianism. Female Sprague-Dawley rats were divided into five groups: model group, western medicine group, and XJCRTST high dose, medium dose, and low dose groups. The morphological changes of the ovary were observed through hematoxylin and eosin staining, and the structure and morphology of mitochondria and mitophagosomes in ovarian granulosa cells were observed through transmission electron microscopy. Two hundred and fifty-two compounds were identified in XJCRTST, with 42 potential targets for treating hypoovarianism, and the Gene Ontology enrichment mainly involved biological process (1 168 items), cell composition(45 items), and molecular function(59 items). KEGG pathway enrichment showed that the pathways involved were AGE-RAGE, Prolactin and TNF signaling pathways. Three target genes Parkin/PINK1, HIF1A and MAPK8 were enriched in the Mitophagy-animal process.Animal experiments showed that the number of follicles increased and the atretic follicles decreased in the Chinese medicine treatment group. Electron microscopy found that mitochondrial swelling and mitophagy decreased in the Chinese medicine group. XJCRTST may play a therapeutic role in treating hypoovarianism by regulating mitochondrial function and mitophagy-related pathways in ovarian granulosa cells.

    Original article
    Construction of fiber-type solar interfacial evaporator and the influence of water channels on heat loss
    YUAN Zhipeng, TIAN Shuo
    2024, 37(5):  35-41.  doi:10.3976/j.issn.1002-4026.20230160
    Abstract ( )   HTML( )   PDF (4438KB) ( )  

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

    Energy and Power
    Modeling, simulation and dynamic analysis of the energy stage of advanced adiabatic compressed air energy storage system
    LI Shuangjiang, XIAO Feng, CHEN Wei, ZHANG Bin, ZH...
    2024, 37(5):  42-54.  doi:10.3976/j.issn.1002-4026.20230171
    Abstract ( )   HTML( )   PDF (5388KB) ( )  

    Energy and environment problems are becoming increasingly prominent, renewable energy is developing rapidly, and its intermittency is one of the key problems restricting its development. Advanced adiabatic compressed air energy storage (AA-CAES) is an effective method to address the intermittency of renewable energy. In this study, a mathematical model for the energy storage stage of AA-CAES is established, and dynamic and sensitivity analysis of the conservation of energy, energy balance, and key parameters of each component are conducted. The results reveal that the proposed mathematical model follows the laws of conservation of energy and exergy balance; the exergy loss of the compressor is greater than that of the heat exchanger; energy and heat are mainly stored in heat transfer oil and high-pressure air, respectively; the deviation between compressor operating and design condition reduces the efficiency; the effect of the air flow rate and inlet temperature of the first-stage turbine on the operation time is greater than that of the storage temperature, adiabatic efficiency and stored air mass. This paper provides reference for adjusting parameters and optimizing energy storage system according to actual demand.

    Optical Fiber and Photonic Sensing Technology
    Method and application of concrete temperature monitoring for the Yellow River diversion sluice gates based on embedded distributed fiber optic sensing technology
    QU Jikai, QI Yueqiang, QU Shuai
    2024, 37(5):  54-61.  doi:10.3976/j.issn.1002-4026.20230163
    Abstract ( )   HTML( )   PDF (3936KB) ( )  

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

    Traffic and Transportation
    Queuing theory-based cross-camera passenger trajectory recognition method
    WEN Zening, ZENG Hongbo, NIU Ling, LU Kai, ZHAO Zh...
    2024, 37(5):  62-68.  doi:10.3976/j.issn.1002-4026.20230161
    Abstract ( )   HTML( )   PDF (3401KB) ( )  

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

    Optimization model and algorithm for multimodal railway-passenger transportation fares based on demand elasticity
    WANG Hongyin, YUAN Yuan, CUI Hongmeng, ZHENG Xuanc...
    2024, 37(5):  69-78.  doi:10.3976/j.issn.1002-4026.20230168
    Abstract ( )   HTML( )   PDF (1723KB) ( )  

    To improve the competitiveness of the railway-passenger transportation market and increase its operational revenue, this study investigates the multiobjective system optimization issue of multimodal railway-passenger transportation fares. A mathematical model was used to describe the equilibrium relationship among the demands of different railway-passenger transportation products. Sensitivity analysis was performed to provide a calculation method for the demand elasticity of multimodal railway-passenger transportation products, and a market demand function for multimodal railway-passenger transportation was formulated. Considering multiple optimization objectives such as market demand, passenger transportation revenue, and profit of railway-passenger transportation enterprises along with passenger transportation costs, we proposed a multiobjective bi-level planning model for describing the system optimization issue of multimodal railway-passenger transportation fares. Finally, we used real passenger transportation data of the railway line between Beijing and Tianjin to validate the proposed model. The results show that the proposed method can effectively balance multiple objectives such as passenger transportation demand, passenger transportation revenue, and profit, providing reference and support for railway-passenger transportation departments to develop scientifically reasonable fare systems in different market competition stages.

    Research on the invulnerability of urban public transport systems based on a double-layer network model
    MA Xuexiang, HAN Mengwei, ZHOU Guangxin, LI Shubin...
    2024, 37(5):  79-88.  doi:10.3976/j.issn.1002-4026.20240027
    Abstract ( )   HTML( )   PDF (4254KB) ( )  

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

    Environment and Ecology
    Six newly recorded plant species from Shandong Province
    LENG Zhenning, LIU Dan, BING Mengyao, HOU Yuanmian...
    2024, 37(5):  89-94.  doi:10.3976/j.issn.1002-4026.20240007
    Abstract ( )   HTML( )   PDF (2563KB) ( )  

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

    Distribution patterns and influencing factors of three types of soil extractable silicon in typical coastal wetlands
    JI Xiaohui, ZHAO Qingqing, ZHAN Haiyin, WANG Jiani...
    2024, 37(5):  95-102.  doi:10.3976/j.issn.1002-4026.20240048
    Abstract ( )   HTML( )   PDF (1826KB) ( )  

    As the second most abundant element on earth, silicon plays an important role in soil biogeochemical processes. However, the geochemical characteristics of soil silicon in different forms in coastal wetlands still need further investigation. In this study, we selected four typical coastal wetlands (nonflooding Phragmites australis, tidal P. australis, freshwater P. australis, and tidal Suaeda salsa wetlands) as sampling sites and collected soils from 0 to 20 cm depth. Furthermore, we determined oxalate-extractable silicon, dithionite-citrate-extractable silicon, pyrophosphate-extractable silicon and analyzed their soil physical and chemical properties, distribution patterns, and influencing factors in typical coastal wetlands. Results showed that dithionite-citrate-extractable silicon and pyrophosphate-extractable silicon showed no significant differences among four wetlands (p>0.05), while oxalate-extractable silicon in nonflooding P. australis wetlands was significantly lower than tidal P. australis wetlands (p<0.05). As for the profile distribution, the three types of extractable silicon in soils from 0 to 10 cm were generally higher than in soils from 10 cm to 20 cm. Additionally, the correlation analysis revealed that soil organic matter, total nitrogen, bulk density, pH, silt and moisture were important factors influencing these three types of extractable silicon.

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

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

    Intelligence Analysis and Data Management
    Quantitative evaluation of digital economy policy texts in Shandong Province
    WANG Chen, ZHAO Yanqing, ZHANG Mingjun
    2024, 37(5):  111-121.  doi:10.3976/j.issn.1002-4026.20240042
    Abstract ( )   HTML( )   PDF (2229KB) ( )  

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

    Cost amortization-based single-server private information retrieval method
    CAI Xinyan, YU Xiao
    2024, 37(5):  122-130.  doi:10.3976/j.issn.1002-4026.20240092
    Abstract ( )   HTML( )   PDF (1141KB) ( )  

    Private information retrieval aims to protect users’ query content and privacy, serving as an important extension of privacy protection in the field of information retrieval. A highly configurable, stateful, single-server private information retrieval scheme was designed based on the concept of cost amortization. Experiments conducted on a database containing 1 million 1 kB elements showed that this method delivered superior performance, being able to respond to client queries in less than 1 s, with the server’s response data being increased by less than 3.6 times. It is noteworthy that the experimental analysis was based on a simple, unoptimized Rust implementation, suggesting that this method is particularly suitable for deployment environments involving a large number of clients. Experimental results indicate that this method holds significant potential in the field of private information retrieval and can provide an efficient and cost-effective solution for handling large-scale retrieval tasks.

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2024, Vol. 37 No.4 No.3 No.2 No.1
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2011, Vol. 24 No.6 No.5 No.4 No.3 No.2 No.1
2010, Vol. 23 No.6 No.5 No.4 No.3 No.2 No.1
Survey of underwater biological object detection methods based on deep learning
YU Yu, GUO Baoqi, CHU Shibo, LI Heng, YANG Pengru
Shandong Science. 2023 Vol. 36 (6): 1-7
doi: 10.3976/j.issn.1002-4026.2023.06.001
Abstract( 361 )   HTML PDF (1695KB) (542
Exploringtrait genes and predicting the targeted Chinese medicine for ulcerative colitis based on bioinformatics and machine learning
LIANG Jiahao, ZHANG Xinhui, WANG Hai
Shandong Science. 2023 Vol. 36 (6): 56-67
doi: 10.3976/j.issn.1002-4026.2023.06.008
Abstract( 227 )   HTML PDF (2803KB) (142
Research progress in high-salinity wastewater treatment by the freeze concentration method
WANG Xiaokai, ZHAO Changsheng, LI Luzhen, ZHANG Bowei, LIU Xuzhen, TAN Yu
Shandong Science. 2023 Vol. 36 (6): 121-130
doi: 10.3976/j.issn.1002-4026.2023.06.015
Abstract( 199 )   HTML PDF (1815KB) (261
Streamline optimization analysis of side-scan sonar on small autonomous underwater vehicle
LIU Jin, TAN Hua, SU Liang, QIU Guoji, LIU Rui, LUO Chongxin, WANG Yu, LIU Hao
Shandong Science. 2023 Vol. 36 (6): 8-14
doi: 10.3976/j.issn.1002-4026.2023.06.002
Abstract( 197 )   HTML PDF (3216KB) (115
Progress and development trends in the use of zebrafish as a model organism for evaluating cosmetic efficacy
XIA Qing, ZANG Xiaohan, WANG Yongcheng, ZHANG Yun, LI Peihai, ZHANG Xuanming, LIU Kechun
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doi: 10.3976/j.issn.1002-4026.20240016
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A Cyber-Physical System
LIU Xiang-Zhi, LIU Xiao-Jian, WANG Zhi-Xue, CHENG Wei, LI Jian-Xin
J4. 2010 Vol. 23 (3): 56-61
Abstract2471)      PDF (792KB)(7422)   
Research Advances of the Application of  Underwater Acoustic Sensor Networks in Ocean Monitoring
LIU Min, HUI Li, YANG Li, YANG Shu-Kai
J4. 2010 Vol. 23 (2): 22-27
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On Simplification of TypePreserving
SHU Peng-Hua
J4. 2010 Vol. 23 (6): 20-25
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A robot tool frame calibration method
LIU Cheng-Ye, LI Wen-Guang, MA Shi-Guo, ZHI Jian-Bin, LIU Guang-Liang, WU Hao
J4. 2012 Vol. 25 (1): 69-74 doi: 10.3976/j.issn.1002-4026.2012.01.015
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Comprehensive Development and Applications of Microalgae
LI Yan, ZHOU Wen-Guang, ZHANG Xiao-Dong, SUN Li
J4. 2010 Vol. 23 (4): 84-87
Abstract2015)      PDF (784KB)(3689)   
CHENG Yan, SHANG Yong-Zuo, LIU Yan
J4. 2010 Vol. 23 (2): 83-85
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Design of a high precision temperature measurement circuit
LIU Meng-De, HE Hai-Jing, DU Li-Bing
J4. 2012 Vol. 25 (2): 72-75 doi: 10.3976/j.issn.1002-4026.2012.02.015
Abstract1354)      PDF (984KB)(3531)   
ZHANG Rong-Jun, LV Wei-Bei, MENG Xian-Duo
J4. 2010 Vol. 23 (6): 96-98
Abstract1226)      PDF (750KB)(3527)   
Research Advances of Chemical Constituents and Analysis Method of Forsythia suspense
DUAN Wen-Juan, GENG Yan-Ling, CHU He, LIN Yun-Liang, WANG Xiao, LIU Jian-Hua
J4. 2010 Vol. 23 (2): 33-37
Abstract1609)      PDF (835KB)(3518)   
SUN Neng-Yong, WANG Dong-Xue, MA Jian-Hui, CHENG Wei
J4. 2010 Vol. 23 (3): 74-77
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Mechanism design and kinematics analysis of a four axis stacking robot
SUN Jie, LI Qian, LIU Guang-Liang, GE Zhao-Bin, LI Xiang-Dong
J4. 2011 Vol. 24 (1): 97-101
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Optimal design of urban rail transit feeder bus routes
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Abstract770)      PDF (1063KB)(3434)   
Status quo and development directions of high-power LED encapsulation materials
MU Qiu-Hong, LI Jin-Hui
J4. 2011 Vol. 24 (5): 30-34
Abstract1681)      PDF (991KB)(3421)   
A Mesoscopic Traffic Simulation Model and Its Case Applications
XU Zhao-Xia, LIN Yong, LI Shu-Bin, WANG Lei
J4. 2010 Vol. 23 (3): 62-66
Abstract1453)      PDF (1110KB)(3393)   
Complex network based reliability analysis of urban road networks
YAN Wen-Cai, ZHANG Yu-Lin, ZHAO Mao-Xian, SONG Wei
J4. 2011 Vol. 24 (2): 65-70
Abstract1556)      PDF (1316KB)(3378)   
A Survey of Automotive Electronics Technology
WANG Zhi-Xue, LIU Xiao-Jian, ZHUANG Ru-Ke
J4. 2010 Vol. 23 (3): 1-6
Abstract1334)      PDF (730KB)(3361)   
XU Liang-Jie, QIAO Xi, ZHANG Xu-Feng, DENG Nan
J4. 2010 Vol. 23 (3): 87-91
Abstract1145)      PDF (704KB)(3349)   
Power law behaviors in natural and social phenomena and the double Pareto lognormal distribution
FANG Zheng, WANG Jie
J4. 2011 Vol. 24 (3): 1-12
Abstract1621)      PDF (1235KB)(3344)   
Fast determination of maize starch content in cornflour
YU Lu-Hao, YANG Jun-Hui, MENG Qing-Jun, YANG Yan, MA Yao-Hong
J4. 2012 Vol. 25 (1): 19-23 doi: 10.3976/j.issn.1002-4026.2012.01.005
Abstract2085)      PDF (1053KB)(3342)   
A Survey of the Driving Motor and Control System of an Electric Vehicle
WANG Zhi-Xue, LIU Yuan, ZHANG Yun, ZHANG Wei
J4. 2010 Vol. 23 (3): 67-70
Abstract1211)      PDF (638KB)(3329)   
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    Review of marine environment monitoring methods based on GNSS technology
    Real-time, accurate and reliable monitoring of marine environmental information plays a crucial role in marine disaster warning and prediction, disaster prevention and reduction, marine resource development, and ensuring marine safety. In recent years, with the continuous development and upgrading of global navigation satellite systems (GNSS), the detection . . .
    Shandong Science, 2024 Vol. 37 (2): 1-11    DOI: 10.3976/j.issn.1002-4026.20240023
     
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