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国外兽医学（畜禽传染病） 1992年第3期12卷 4-6页

作者： bolin,sr 王新平

牛病毒性腹泻单价改良活毒疫苗接种健康牛所产生的中和...

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国外兽医学（畜禽传染病） 1991年第2期11卷 32-34页

作者： bolin,sr 吴德兴

Persistent alterations in gray matter in COVID-19 patients experiencing sleep disturbances:a 3-month longitudinal study

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Neural Regeneration Research 2025年第10期20卷 3013-3024页

作者： Kaixuan Zhou Gaoxiong Duan Ying Liu Bei Peng Xiaoyan Zhou Lixia Qin Lingyan Liang Yichen Wei Qingping Zhang Xiaocheng Li Haixia Qin Yinqi Lai Yian Lu Yan Zhang Jiazhu Huang Jinli Huang Yinfei Ouyang bolin Bin Mingming Zhao Jun Liu Jianrong Yang Demao Deng Guangxi Key Laboratory of Special Biomedicine School of MedicineGuangxi UniversityNanningGuangxi Zhuang Autonomous RegionChina Department of Radiology the People’s Hospital of Guangxi Zhuang Autonomous RegionGuangxi Academy of Medical SciencesNanningGuangxi Zhuang Autonomous RegionChina Department of Sleep Medicine the People’s Hospital of Guangxi Zhuang Autonomous RegionNanningGuangxi Zhuang Autonomous RegionChina Department of Radiology The Second Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina Guangxi Clinical Research Center for Sleep Medicine the People’s Hospital of Guangxi Zhuang Autonomous RegionNanningGuangxi Zhuang Autonomous RegionChina

Sleep disturbances are among the most prevalent neuropsychiatric symptoms in individuals who have recovered from severe acute respiratory syndrome coronavirus 2 *** studies have demonstrated abnormal brain structures in patients with sleep disturbances who have recovered from coronavirus disease 2019(COVID-19).However,neuroimaging studies on sleep disturbances caused by COVID-19 are scarce,and existing studies have primarily focused on the long-term effects of the virus,with minimal acute phase *** a result,little is known about the pathophysiology of sleep disturbances in the acute phase of *** address this issue,we designed a longitudinal study to investigate whether alterations in brain structure occur during the acute phase of infection,and verified the results using 3-month follow-up data.A total of 26 COVID-19 patients with sleep disturbances(aged 51.5±13.57 years,8 women and 18 men),27 COVID-19 patients without sleep disturbances(aged 47.33±15.98 years,9 women and 18 men),and 31 age-and gender-matched healthy controls(aged 49.19±17.51 years,9 women and 22 men)were included in this *** COVID-19 patients with sleep disturbances were included in a longitudinal *** found that COVID-19 patients with sleep disturbances exhibited brain structural changes in almost all brain *** cortical thicknesses of the left pars opercularis and left precuneus were significantly negatively correlated with Pittsburgh Sleep Quality Index ***,we observed changes in the volume of the hippocampus and its subfield regions in COVID-19 patients compared with the healthy *** 3-month follow-up data revealed indices of altered cerebral structure(cortical thickness,cortical grey matter volume,and cortical surface area)in the frontal-parietal cortex compared with the baseline in COVID-19 patients with sleep *** findings indicate that the sleep disturbances patients had altered morphology in the cortical an

关键词： brain structure cortical gray matter volume cortical surface area cortical thickness hippocampus magnetic resonance imaging Pittsburgh Sleep Quality Index severe acute respiratory syndrome coronavirus 2 infections sleep disturbances sub-cortical volume

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基于自动生成句法模板的方法类实体关系抽取——以CSDN人工智能主题博客为例

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科技情报研究 2025年第1期7卷 30-40页

作者：李奎良化柏林北京大学信息管理系北京100871

[目的/意义]方法类实体与应用场景、问题、组织机构等实体之间存在着较多的关联关系,抽取这些实体关系有助于捕捉技术发展趋势,助力创新能力提升。[方法/过程]文章探讨了一种基于自动生成句法模板的方法类实体关系抽取方法,通过设计一... 详细信息

[目的/意义]方法类实体与应用场景、问题、组织机构等实体之间存在着较多的关联关系,抽取这些实体关系有助于捕捉技术发展趋势,助力创新能力提升。[方法/过程]文章探讨了一种基于自动生成句法模板的方法类实体关系抽取方法,通过设计一种新的自适应模板,提高抽取的灵活性和适应性,降低对大规模标注数据的依赖。文章实证以CSDN人工智能主题博客为例,使用少量种子三元组迭代生成句法模板抽取方法类实体及其关系,并通过过滤器模型提高抽取质量。[结果/结论]经过5轮迭代抽取,模型抽取三元组的精确度达到55.2%,优于现有通用模型。研究结果表明,该方法能够高效利用有限的标注数据,实现特定领域方法类实体及其关系的高效抽取,为学术界和产业界的科技情报分析提供支持。

关键词：实体关系抽取方法类实体自动生成句法模板种子学习

Quantum Differential Collision Distinguishing Attacks on Feistel Schemes

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Chinese Journal of Electronics 2021年第6期30卷 1030-1037页

作者： ZHANG Zhongya WU Wenling WANG bolin Trusted Computing and Information Assurance Laboratory Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences Luoyang Normal University

Feistel schemes are important components of symmetric ciphers, which have been extensively studied in the classical setting. We examine the extension methods of differential distinguishers of Feistel key-function and Feistel function-key schemes. The schemes are subjected to quantum differential collision distinguishing attacks based on the methods. The results show that the complexity is lower than that of differential attacks using only Grover algorithm, and the complexity of differential collision attack based on the Brassard-H?yer-Tapp and Grover algorithms is lower than that of quantization when using only the Grover algorithm. The results also show that different algorithms and methods can be combined to produce a more effective cryptanalysis approach. This provides a research direction for postquantum cryptographic analysis and design.

关键词： cryptography Feistel function-key schemes Grover algorithm Feistel key-function differential attacks extension methods quantum cryptography quantum differential collision distinguishing attacks differential collision attack differential distinguishers computational complexity Feistel schemes

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大语言模型方法在情报实践中的应用

科技情报研究 2025年第1期7卷 53-64页

作者：化柏林王英泽北京大学信息管理系北京100871

[目的/意义]大语言模型凭借着对大规模数据集处理的较强能力和在各项自然语言处理任务中的超群表现,在各行业中皆有出色发挥,而情报领域以文本数据为主要信息源,所以大语言模型非常适用于情报工作,并为情报实践带来了新一轮变革浪潮。[... 详细信息

[目的/意义]大语言模型凭借着对大规模数据集处理的较强能力和在各项自然语言处理任务中的超群表现,在各行业中皆有出色发挥,而情报领域以文本数据为主要信息源,所以大语言模型非常适用于情报工作,并为情报实践带来了新一轮变革浪潮。[方法/过程]从文本的低维稠密向量表示、大规模预训练模型、微调与提示学习、高质量大规模训练数据、人类对齐技术5个维度讨论了大语言模型的优势。[结果/讨论]大语言模型在情报识别、情报跟踪、情报比评、情报预测等情报任务中皆有广泛应用,且带来了显而易见的优化提升或范式改变。

关键词：大语言模型情报学情报方法情报实践深度学习文本信息

Identifying essential proteins based on dynamic protein-protein interaction networks and RNA-Seq datasets

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Science China(Information Sciences) 2016年第7期59卷 61-71页

作者： Xuequn SHANG Yu WANG bolin CHEN School of Computer Science Northwestern Polytechnical University

The identification of essential proteins is not only important for understanding organism structure on the molecular level, but also beneficial to drug-target detection and genetic disease prevention. Traditional methods often employ various centrality indices of static protein-protein interaction(PPI) networks and/or gene expression profiles to predict essential proteins. However, the prediction accuracy of most methods still has room to be further improved. In this study, we propose a strategy to increase the prediction accuracy of essential protein identification in three ways. Firstly, RNA-Seq datasets are employed to construct integrated dynamic PPI networks. Using a RNA-Seq dataset is expected to give more accurate predictions than using microarray gene expression profiles. Secondly, a novel integrated dynamic PPI network is constructed by considering both the co-expression pattern and the co-expression level of the RNA-Seq data. Thirdly, a novel two-step strategy is proposed to identify essential proteins from two known centrality indices. Numerical experiments have shown that the proposed strategy can increase the prediction accuracy dramatically, which can be generalized to many existing methods and centrality indices.

关键词： essential protein dynamic protein network RNA-Seq data gene co-expression pattern M2 measure

基于BERTopic的新兴技术主题识别研究

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科技情报研究 2025年第1期7卷 131-140页

作者：汪大锟化柏林北京大学信息管理系北京100871

[目的/意义]识别并预见新兴技术,为企业和政府带来技术先发优势,及时把握技术发展趋势。[方法/过程]本研究采用BERTopic的主题建模方法获取领域主题分布,依据主题向量的余弦相似度合并论文和专利主题,实现新兴主题的识别。[结果/结论]运... 详细信息

[目的/意义]识别并预见新兴技术,为企业和政府带来技术先发优势,及时把握技术发展趋势。[方法/过程]本研究采用BERTopic的主题建模方法获取领域主题分布,依据主题向量的余弦相似度合并论文和专利主题,实现新兴主题的识别。[结果/结论]运用BERTopic主题建模方法结合指标评价,能够实现新兴主题与新兴术语的有效识别。以新能源汽车领域为例开展实证研究,使用划分验证期和资料验证法2种方式进行验证,在识别出的16项主题中有12项通过验证,证实了本研究方法的有效性。

关键词：新兴技术主题识别 BERTopic 新能源汽车

A Multi-mode Electronic Load Sensing Control Scheme with Power Limitation and Pressure Cut-off for Mobile Machinery

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Chinese Journal of Mechanical Engineering 2023年第1期36卷 157-170页

作者： Min Cheng bolin Sun Ruqi Ding Bing Xu State Key Laboratory of Mechanical Transmissions Chongqing UniversityChongqing400044China Key Laboratory of Conveyance and Equipment Ministry of EducationEast China Jiaotong UniversityNanchang330052China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou310027China

In mobile machinery,hydro-mechanical pumps are increasingly replaced by electronically controlled pumps to improve the automation level,but diversified control functions(e.g.,power limitation and pressure cut-off)are integrated into the electronic controller only from the pump level,leading to the potential instability of the overall *** solve this problem,a multi-mode electrohydraulic load sensing(MELS)control scheme is proposed especially considering the switching stability from the system level,which includes four working modes of flow control,load sensing,power limitation,and pressure *** on the actual working requirements,the switching rules for the different modes and the switching direction(i.e.,the modes can be switched bilaterally or unilaterally)are *** priority of different modes is also defined,from high to low:pressure control,power limitation,load sensing,and flow *** multiple switching rules are satisfied at the same time,the system switches to the control mode with the highest *** addition,the switching stability between flow control and pressure control modes is analyzed,and the controller parameters that guarantee the switching stability are obtained.A comparative study is carried out based on a test rig with a 2-ton hydraulic *** results show that the MELS controller can achieve the control functions of proper flow supplement,power limitation,and pressure cut-off,which has good stability performance when switching between different control *** research proposes the MELS control method that realizes the stability of multi-mode switching of the hydraulic system of mobile machinery under different working conditions.

关键词： Hydraulic control Load sensing Multi-Mode Power limitation Mobile machinery

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Uncovering Topics of Public Cultural Activities: Evidence from China

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Data Intelligence 2022年第3期4卷 509-528页

作者： Zixin Zeng bolin Hua Department of Information Management Peking UniversityBeijing 100871China

In this study, we uncover the topics of Chinese public cultural activities in 2020 with a two-step short text clustering(self-taught neural networks and graph-based clustering) and topic modeling approach. The dataset we use for this research is collected from 108 websites of libraries and cultural centers, containing over 17,000 articles. With the novel framework we propose, we derive 3 clusters and 8 topics from 21 provinciallevel regions in China. By plotting the topic distribution of each cluster, we are able to shows unique tendencies of local cultural institutes, that is, free lessons and lectures on art and culture, entertainment and service for socially vulnerable groups, and the preservation of intangible cultural heritage respectively. The findings of our study provide decision-making support for cultural institutes, thus promoting public cultural service from a data-driven perspective.

关键词： Public culture Short text clustering Topic modeling LDA Big data analysis

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