Loading...
[an error occurred while processing this directive]

Table of Content

    20 November 2025, Volume 61 Issue 6
    Screening, Whole Genome Analysis, and Enzyme Production Optimization of Alginate Lyase-Producing Strain Cobetia marina 29
    QIAN Xiangyu, LIU Zhixiang, TANG Wenzhu, LI Xianzhen
    2025, 61(6):  1025-1038.  DOI: 10.13209/j.0479-8023.2025.101
    Asbtract ( )   HTML   PDF (3416KB) ( )  
    Related Articles | Metrics
    This study successfully isolated and screened a microbial strain with efficient alginate-degrading capability from seaweed, utilizing alginate as the sole carbon source in a selective culture medium. The strain was systematically identified and subjected to bioinformatics analysis through physiological and biochemical characterization, 16S rDNA sequence analysis, and whole-genome sequencing to uncover potential alginate lyase-related genes. Additionally, the enzyme production conditions for the strain were optimized using single-factor experiments, Plackett-Burman design, and response surface methodology. Morphological observations, physiological and biochemical trait analysis, and 16S rDNA gene sequence identification confirmed the strain to be of the genus Cobetia. The full length of the strain’s genome is 4136490 base pairs, with a GC content of 62.48%. Genome prediction encoded 3454 protein-coding genes, 70 tRNA genes, and 12 rRNA genes. Nucleotide consistency analysis was subsequently performed and it was named Cobetia marina 29. Nucleotide consistency analysis was subsequently performed and it was named Cobetia marina 29. Functional annotation using the GO, KEGG, COG, and CAZy databases yielded 2487, 2271, 2910, and 145 annotated functional genes, respectively. Among these, three genes encoded alginate lyases and were classified into the PL17 and PL7 families. Finally, the cultivation parameters were refined, and under the optimal conditions for enzyme production, the enzyme activity was enhanced to 179.29 U/mL, which represented a 53.6% increase compared with the levels prior to optimization. The findings of this study provided a new microbial resource for the biodegradation of alginate and laid the foundation for subsequent industrial applications.
    Effect of Frequency on Interfacial Friction at Low-Frequency Vibration
    LU Jiandong, ZHAO Zhen
    2025, 61(6):  1039-1046.  DOI: 10.13209/j.0479-8023.2025.081
    Asbtract ( )   HTML   PDF (901KB) ( )  
    Related Articles | Metrics
    From the perspective of the influence of normal vibration on friction, considering both normal and tangential vibrations of the vibrating plate, an experimental setup was designed independently to measure the friction at different vibration frequencies. Based on Coulomb’s friction law, a macroscopic dynamic model was established to analyze the mechanism of friction reduction affected by vibration frequencies. The results indicate that the simulation results are generally consistent with the experimental results. When the normal amplitude and average sliding velocity are constant in the presence of both normal and tangential vibration, the greater the vibration frequency, the longer the total time of sticks or the changes of friction direction per unit time will be. Consequently, this leads to more significant friction reduction at the interface and shows that Coulomb's friction law can explain the reason for friction reduction under low-frequency vibration conditions.
    Research on Authorship Verification Methods Integrating Text Embedding and Machine Learning
    WANG Xinmin, ZHU Wenqing, HAN Zhuoxi, LIU Hao
    2025, 61(6):  1047-1056.  DOI: 10.13209/j.0479-8023.2025.066
    Asbtract ( )   HTML   PDF (758KB) ( )  
    Related Articles | Metrics
    Based on integrate deep learning and machine learning, an annotated dataset oriented towards authorship verification is constructed, employing BERT and dynamic similarity threshold strategy to enhance label quality. An authorship identification model integrating BERT text embedding and XGBoost-BO is proposed. This model combines the powerful feature extraction capabilities of BERT and the efficient classification performance of XGBoost. Additionally, Bayesian optimization is employed for hyperparameter search to achieve accurate authorship verification. Furthermore, the effectiveness of the dynamic similarity threshold strategy in enhancing author similarity determination accuracy is investigated, as well as the significant role of Bayesian optimization in automatically adjusting XGBoost hyperparameters to improve its overall performance. Experimental results demonstrate that the proposed method outperforms all baseline methods across various evaluation metrics, providing an effective solution for authorship verification. 
    Practice and Performance of Large Language Models in Medical Data Desensitization
    ZHANG Zhili, YANG Hong, PANG Juan, HENG Fanxiu
    2025, 61(6):  1057-1063.  DOI: 10.13209/j.0479-8023.2025.092
    Asbtract ( )   HTML   PDF (548KB) ( )  
    Related Articles | Metrics
    To explore the performance of different mainstream big language models in desensitizing medical documents, a medical desensitization system based on large language models is designed. Mainstream open-source big language models Gemma2, Llama3, Qwen2, and Mistral are adopted as research objects, using the big language model management framework tool Olama for private deployment. By constructing a unified Prompt engineering template as input for the big language model, the ability of the big language model is called in the form of an interface to obtain target sensitive words in medical documents. Sensitive words are replaced to complete the desensitization of medical documents. On the virtual private server, the recognition of sensitive words in a single medical document can be completed within 52.420 to 123.380 seconds. In terms of performance in five types of medical document anonymizations, 12 types of sensitive word recognition, and the processing efficiency of large language models, Gemma2 demonstrates the best overall performance, followed by Llama3, Qwen2, and Mistral. The results show that even without GPU computing power, virtual dedicated servers can still complete sensitive word recognition and processing with high quality by deploying large language models, greatly improving the accuracy of medical document desensitization. 
    Computation of Toroidal Modes in a Spherical Non-Gravity Elastic Earth Model Using a Family of Secular Functions
    YANG Limeng, CHEN Xiaofei
    2025, 61(6):  1064-1070.  DOI: 10.13209/j.0479-8023.2025.084
    Asbtract ( )   HTML   PDF (816KB) ( )  
    Related Articles | Metrics
    When using the exact flattening transformation method to compute the oscillation modes, root-leakage issues can easily arise during the root-search phase. By introducing the exact flattening transformation within the framework of the generalized reflection-transmission coefficient method (GRTCM), this method can be extended to the spherical non-gravity elastic Earth model. Subsequently, using the duration function families, we calculate the toroidal modes in this model. The results of the proposed method align closely with the precise outcomes from MINEOS.
    Generalized Reflection-Transmission Coefficient Method for Synthesizing Theoretical Seismograms in a Spherical Earth Model
    YANG Limeng, CHEN Xiaofei
    2025, 61(6):  1071-1079.  DOI: 10.13209/j.0479-8023.2025.085
    Asbtract ( )   HTML   PDF (830KB) ( )  
    Related Articles | Metrics
    For a spherical layered Earth model, by assuming that the medium parameters in each layer follow specific variation laws and introducing earth flattening transformation, the ordinary differential equations (ODEs) with variable coefficients in the spherical model are transformed into ODEs with constant coefficients that can be solved using the generalized reflection-transmission coefficient method (GRTCM), and the theoretical seismograms are calculated. Numerical results show that the generalized reflection-transmission coefficient method is accurate and efficient for computing theoretical seismograms at epicentral distances within 100 degrees. The error of the method will be significantly reduced as the layer thickness of spherical model is reduced. 
    Dynamic Evaluation of Livelihood Capital and Optimization of Livelihood Strategies for Migrants Relocated for Poverty Alleviation: A Case Study of Guizhou Province
    JING Yating, ZHOU Zhongfa, TANG Fang, SUN Yaopeng
    2025, 61(6):  1080-1090.  DOI: 10.13209/j.0479-8023.2025.095
    Asbtract ( )   HTML   PDF (9250KB) ( )  
    Related Articles | Metrics
    Based on the household survey data of 734 relocated migrants in Guizhou Province, this study selects 17 indicators from five major livelihood capitals, namely, natural capital, physical capital, financial capital, human capital and social capital, to construct a livelihood capital evaluation index system for relocated migrants. Using the system, we evaluate the dynamic change of migrants’ livelihood capital in the relocation project for poverty alleviation, to analyze the mechanism of the impact of the livelihood capital on the selection of livelihood strategies. The results show that, 1) Different types of resettlement sites lead differences in the changes of livelihood capital of immigrant families in the process of poverty alleviation and relocation. Among them, the improvement effect of the livelihood capital of the immigrants in the county settlement is the most obvious. From 2019 to 2022, the number of immigrant families with better and above levels of livelihood capital increased by 55.04%; 2) Social capital is the largest contribution dimension affecting the comprehensive change of livelihood capital, with a minimum impact of 38.87%; natural capital and material capital are the biggest obstacle dimensions, with the highest impact of 12.78% and 6.71%, respectively, and are also the factors that migrants need to pay attention to and take into account when they choose their livelihood strategies. 3) According to the characteristics of livelihood strategy type transformation and the difference of per capita income of immigrant families, it is found that the livelihood strategies adopted by migrants in the market town lead to the fastest growth in their per capita income, which reaches 59.05%, while the overall improvement of migrants’ families in the county town is more stable. Accordingly, the paper puts forward some optimization countermeasures, such as increasing the protection of cultivated land in central villages, promoting the consumption of migrants in market towns, strengthening the management of livelihood capital of migrants in county towns. 
    Accessibility Analysis on Public Service Facilities in Beijing under the Supply and Demand of TOD Station Area
    GAO Wei, LI Yaqi, ZHAO Mei, GAO Yong, ZHENG Wenting, OUYANG Yuxin
    2025, 61(6):  1091-1104.  DOI: 10.13209/j.0479-8023.2025.010
    Asbtract ( )   HTML   PDF (1407KB) ( )  
    Related Articles | Metrics
    Taking rail transit station area in Beijing as the research unit and considering both passengers and public service facilities in rail-station area as representative factors for supply and demand respectively, the paper investigates the spatial distribution characteristics and accessibility of public service facilities with Gaussian two-step floating catchment area (Ga2SFCA) method, analyses the influence of built environment based on the Transit Oriented Development (TOD) model. The findings reveal that overall, the distribution of public service facilities along the rail transit stations in Beijing generally shows a favorable trend. However, there are significant variations in accessibility among different types of facilities. High accessibility of social welfare, education, commercial and entertainment facilities can foster similar developments in adjacent regions, whereas medical and health services as well as cultural and sports amenities tend to be more randomly distributed. By examining both supply-demand dynamics for public service facilities alongside their accessibility levels, it becomes possible to effectively evaluate how well a station area functions as a regional center serving surrounding areas while also providing insights for optimizing urban facility configurations. 
    Dynamic Evolution Characteristics of Fractional Vegetation Cover and Its Response to Climate Change in the Lower Reaches of the Heihe River
    PEI Xiaolong, MAO Lei, ZHANG Jinlong, XU Bo, ZHANG Panwang
    2025, 61(6):  1105-1114.  DOI: 10.13209/j.0479-8023.2025.096
    Asbtract ( )   HTML   PDF (796KB) ( )  
    Related Articles | Metrics
    This study focuses on the lower reaches of the Heihe river in Northwest China’s arid region, utilizing MOD13 Q1-NDVI data from 2000 to 2022, complemented by concurrent temperature (Tem) and precipitation (Pre) records, to investigate the spatiotemporal dynamics of fractional vegetation cover (FVC) and its response mechanisms in the context of climate change. The findings reveal that: 1) The FVC in the lower Heihe river region exhibits an overall trend of slow, fluctuating improvement, indicating a gradual recovery. However, the FVC remains relatively low, with the core oasis areas displaying weak ecological stability. These regions are highly susceptible to the impacts of climate change and human activities, thus exhibiting significant ecological fragility. 2) Climate change in the lower Heihe river region is influenced by global trends while it exhibits distinct local characteristics. The region has experienced a pronounced warming trend with notable fluctuations in Tem increases. Meanwhile, Pre has shown a slight decline, characterized by highly unstable interannual variability. The increasing aridity of the climate has further exacerbated the risk of vegetation degradation. 3) The relationship between FVC changes and Tem or Pre is weakly correlated. These climatic factors have influence on FVC, but they are not the primary drivers. FVC is also significantly affected and constrained by other factors such as surface water availability, groundwater levels, and soil salinity. 
    Digital Humanities-Based Analysis of the Yellow River National Cultural Park Tourism Image: A Case Study of the Complete Collection of Tang Poetry
    CONG Li, YANG Jun
    2025, 61(6):  1115-1126.  DOI: 10.13209/j.0479-8023.2025.048
    Asbtract ( )   HTML   PDF (3186KB) ( )  
    Related Articles | Metrics
    Based on the literary geography framework of the “Three Origins” (original territory restoration, original scene reconstruction, original spiritual exploration), this study employs digital humanities tools (Markus, ArcGIS, Gephi, GooSeeker) to analyze Yellow River-related poetry in the Complete Collection of Tang Poetry, exploring the Yellow River’s touristic imagery to provide insights for the development of the Yellow River National Cultural Park. The findings are as follows: 1) The core perceptual elements of the park’s touristic imagery cover geography, social interactions, diet, accommodation, transportation, scenic spots, shopping, and entertainment. 2) Applying the cognitive-emotion model of tourist destination imagery, the Yellow River Basin in Tang poetry presents rich cognitive and emotional imagery — a dynamic interactive system with temporary stability, where thematic elements evolve across historical periods. 3) Digital humanities techniques show strong applicability in researching ancient literature, local chronicles and historical materials, and the analysis of Tang poetry provides a new perspective for tourist destination imagery studies.
    Influence of COVID-19 Prevention and Control Measures on PM2.5 Chemical Composition and Source in Zibo, China
    BAI Wenyu, XU Bo, ZHAO Xueyan, LIU Yanhui, YIN Baohui, GENG Chunmei, YANG Wen
    2025, 61(6):  1127-1136.  DOI: 10.13209/j.0479-8023.2025.103
    Asbtract ( )   HTML   PDF (1041KB) ( )  
    Related Articles | Metrics
    Based on online observation data in Zibo from January 1st to February 15th, 2020, this study explores the changes of PM2.5 concentration, chemical composition, secondary inorganic aerosol generation mechanism, and sources during the COVID-19 control period compared with pre-control time in Zibo. The results showed that during the control period, the PM2.5 mass concentration in Zibo decreased by 41%. OC and secondary inorganic ions (SO42−, NO3, and NH4+) were the main components of PM2.5, and only the proportion of NO3 declined during this period. Furthermore, a comparison of PM2.5 pollution episodes showed that during the control period, the production rates of sulfate and secondary organic aerosols increased, and the heterogeneous reaction played a key role in the increase of SO42− concentration. The PMF source apportionment results indicated that secondary inorganic aerosols, secondary organic aerosols, coal-combustion sources, vehicle emissions, road dust sources, and mixed sources of biomass combustion and fireworks were the main sources of PM2.5 in Zibo. During the control period, the contribution of coal-combustion sources and secondary organic aerosols increased. In the future, Zibo needs to emphasize control over coal-combustion sources and vehicle emissions.
    Spatial Assimilation Characteristics and Impact Factors of the Floating Population: The Case of Shenzhen
    XIE Senkai, GONG Yue, ZHANG Wenjia, SUN Shan, YIN Jie
    2025, 61(6):  1137-1146.  DOI: 10.13209/j.0479-8023.2025.104
    Asbtract ( )   HTML   PDF (866KB) ( )  
    Related Articles | Metrics
    This paper analyzes the characteristics and impact factors of spatial assimilation of the floating population from the neighborhood scale, using the 2015 population data in the Shenzhen managed population database. The results show that the floating population is the main group of residents in Shenzhen and clearly differentiated, and consists of a large proportion of rural migrants. Rental housing, marriage, education, and the proportion of residents with agricultural hukou have significant positive effects on spatial assimilation, but the duration of residence has no significant influence. Compared with public housing, commercial housing and restricted property housing are easier for the floating population to realize spatial assimilation. It is necessary for the government to improve the management of the rental housing market and increase the proportion of urban housing owned by the floating population in order to promote their socio-spatial integration. 
    Effects of Phenanthrene on Sediment Microbial Community: Microcosm Simulation Study
    LI Yangyang, SHEN Wei, ORIF Amirzoda, XIE Shuguang
    2025, 61(6):  1147-1163.  DOI: 10.13209/j.0479-8023.2025.047
    Asbtract ( )   HTML   PDF (3927KB) ( )  
    Related Articles | Metrics
    Using water-sediment microcosms and 16S rRNA and 18S rRNA sequencing analyses, phenanthrene (PHE) was selected as a representative compound of PAHs to explore its effects on water quality, as well as on the diversity, structure, and function of sediment microbial communities. The results indicated that PHE pollution affected both the magnitude and stability of water quality parameters. PHE was predominantly adsorbed onto the sediment, with a degradation efficiency of 99% observed on day 56 in the PHE treatment group. Significant differences were found in bacterial communities (RANOSIM = 0.293, P = 0.002) and fungal communities (RANOSIM = 0.147, P = 0.031) among different treatment groups. The relative abundance of many bacteria, archaea, and fungi associated with PHE degradation was higher in the PHE treatment groups than that in the control group. Compared with the control and low-dosage (PHE(L)) groups, microbial networks in the medium-dosage (PHE(M)) and high-dosage (PHE(H)) groups exhibited higher average clustering coefficients and positive correlations. Functional processes such as carbon fixation, nitrogen metabolism, and sulfur metabolism had lower relative abundance in the later incubation stages in the PHE(M) and PHE(H) groups, while methane metabolism had higher relative abundance. pH was identified as the key factor influencing the structures and functions of bacterial, archaeal, and fungal communities, followed by NH4+-N. 
    Study on the Structural Characteristics of River Networks in the Junggar Basin
    LEI Jingwen, CUI Yaojin, WANG Yichu
    2025, 61(6):  1164-1174.  DOI: 10.13209/j.0479-8023.2025.074
    Asbtract ( )   HTML   PDF (964KB) ( )  
    Related Articles | Metrics
    Based on 30 m horizontal resolution digital elevation models and remote sensing images, this study extracted 7th stream-order river network of 32 endorheic rivers in the Junggar Basin and analyzed the hierarchical river network structure of endorheic sub-basins under different underlying surface conditions (glacier-dominated and desert-dominated types) in arid climate. The results indicate that although the sub-basins in the Junggar Basin generally conform to the self-similarity law of river network structure across stream orders 1 to 4, the glacier-dominated sub-basins exhibit higher bifurcation ratios and drainage densities than the desert-dominated sub-basins, due to their greater precipitation and higher vegetation coverage. Further analysis reveals that the structural parameters of river networks in glacier-dominated basins are primarily controlled by temperature, potential evapo-transpiration, and soil water content, whereas in desert-dominated basins, these parameters correlate more closely with oasis area and vegetation characteristics.
    Potential and Actions for Campus Carbon Reduction: A Case Study of Peking University
    XU Weidi, LI Fuye, ADU Eryi, ZHAI Bo, WANG Shuang, HAN Ling, TONG Xin
    2025, 61(6):  1175-1187.  DOI: 10.13209/j.0479-8023.2025.106
    Asbtract ( )   HTML   PDF (876KB) ( )  
    Related Articles | Metrics
    In order to actively promote the construction of low-carbon universities, taking the Yanyuan Campus of Peking University as a case study, we utilized the carbon emission factor method to calculate the total campus carbon emissions for 2023. The results are as follows. Firstly, total carbon emissions of Peking University main campus for 2023 exceeded 250000 tons, with Scope 1 (direct emissions) accounting for 17.20%, Scope 2 (indirect emissions from purchased energy) for 55.31%, and Scope 3 (other indirect emissions) for 27.49%. Secondly, compared with the carbon emissions in 2009, Scope 1 and Scope 2 carbon emissions increased by 16.76%, while per capita carbon emissions decreased by 19.10%. Based on the calculated carbon emission scenarios, we propose carbon reduction recommendations targeting the three major sources of carbon emissions at Peking University main campus — energy consumption, transportation, and food consumption. It is estimated that the potential to reduce carbon emissions in energy consumption is more than 30%, more than 5% in transportation, and more than 3% in food consumption. The total carbon reduction potential in these three areas is close to 40%, equivalent to over 120000 tons of carbon emissions annually. 
    Differences, Seasonal Variations and Influencing Factors of Soil CO2 Concentration in Suburban Wasteland-Forestland-Grassland Ecosystems
    SU Xiaoman, GUO Shuwen, LI Hongbo, LU Qiaogai, Lü Jiabao, LI Fang
    2025, 61(6):  1188-1200.  DOI: 10.13209/j.0479-8023.2025.107
    Asbtract ( )   HTML   PDF (1206KB) ( )  
    Related Articles | Metrics
    In order to study the differences, seasonal variations and influencing factors of soil CO₂ concentration in different ecosystems, we conducted annual fixed-point monitoring of soil CO2 concentration, oxygen (O2) levels, enzyme activities, and labile carbon/nitrogen indicators across suburban wasteland, forestland, and grassland ecosystems from March 2023 to February 2024. The results revealed that the grassland had the highest average annual CO2 concentration, followed by the forest, with the wasteland having the lowest. The subsurface soil CO2 concentration of each ecosystem was higher than that of surface layer. The soil CO2 concentration of the three ecosystems was high in summer and low in winter, and was in the middle in spring and autumn. There were disparities in soil physical and chemical properties, carbon and nitrogen contents, and hydrolase activities among different ecosystems. In all ecosystems, the soil CO2 concentration increased exponentially with rises in air temperature, soil temperature and water content, yet displayed an exponential negative correlation with oxygen concentration.
    Application of Bayesian Method in Geology and Geochemistry
    QIAN Hang, ZHANG Nan, TIAN Meng
    2025, 61(6):  1201-1217.  DOI: 10.13209/j.0479-8023.2025.021
    Asbtract ( )   HTML   PDF (902KB) ( )  
    Related Articles | Metrics
    The introduction to Bayesian methods is presented from the perspective of inversion modeling, outlining the fundamental principles, computational techniques, development history, and current research status. Various methods and their applications across different fields of geology and geochemistry are analysed in detail. Finally, the future development directions and challenges are discussed.
    Towards Carbon Neutrality: The Current Status, Challenges, and Prospects of Blue Carbon Trading in China
    CHEN Jingfu, MENG Yi, WANG Keyi, LIN Guanghui, WU Xiaofeng, HUANG Yuefei, LI Bing
    2025, 61(6):  1218-1226.  DOI: 10.13209/j.0479-8023.2025.105
    Asbtract ( )   HTML   PDF (735KB) ( )  
    Related Articles | Metrics
    This article sorts out China’s blue carbon trading-related policies, trading cases and their distribution, industry standards and methodologies, analyzes the characteristics of the current blue carbon market, and explores the challenges faced and future solutions. Currently, China’s blue carbon market is characterized by regional specialization, diversified types, and scientific accounting, but it also faces issues such as market irregularities, unclear trading entities, and inadequate maintenance of blue carbon’s resilience. We suggest promoting the healthy development of the blue carbon market by establishing a comprehensive blue carbon trading system, diversifying trading entities and methods of value realization, and enhancing risk assessment research on coastal carbon sink ecosystems, so as to provide support for China’s achievement of carbon neutrality goals.