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Journal of Systems Science and Systems Engineering 2024年第2期33卷 207-231页

作者： Wenhao Zhou hailin li Zhiwei Zhang College of Business Administration Huaqiao UniversityQuanzhou 362021China College of Business Administration Capital University of Economics and BusinessBeijing 100070China

Accurate and reasonable prediction of industrial electricity consumption is of great significance for promoting regional green transformation and optimizing the energy ***,the regional power system is complicated and uncertain,affected by multiple factors including climate,population and *** paper incorporates structure expansion,parameter optimization and rolling mechanism into a system forecasting framework,and designs a novel rolling and fractional-ordered grey system model to forecast the industrial electricity consumption,improving the accuracy of the traditional grey *** optimal fractional order is obtained by using the particle swarm optimization algorithm,which enhances the model ***,the proposed model is employed to forecast and analyze the changing trend of industrial electricity consumption in Fujian *** results show that industrial electricity consumption in Fujian will maintain an upward growth and it is expected to 186.312 billion kWh in *** with other seven benchmark prediction models,the proposed grey system model performs best in terms of both simulation and prediction performance metrics,providing scientific reference for regional energy planning and electricity market operation.

关键词： Electricity consumption grey system theory prediction model fractional order

Lactobacillus from fermented bamboo shoots prevents inflammation in DSS-induced colitis mice via modulating gut microbiome and serum metabolites

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Food Science and Human Wellness 2024年第5期13卷 2833-2846页

作者： Xiangru liu Xiaoling Lu Hao Nie Jing Yan Zhiwen Ma hailin li Shixin Tang Qi Yin Jingfu Qiu School of Public Health Chongqing Medical UniversityChongqing 400016China

Fermented bamboo shoots(FBS)is a region-specific food widely consumed in Southwestern China,with Lactobacillus as the predominant fermenting ***,the probiotic potential of Lactobacillus derived from FBS reminds largely unexplored,especially for diseases with a low prevalence in areas consuming FBS,namely,inflammatory bowel *** this study,Lactiplantibacillus pentosus YQ001 and Lentilactobacillus senioris YQ005 were screening by in vitro probiotic tests to further investigate the probioticlike bioactivity in dextran sulfate sodium(DSS)-induced ulcerative colitis(UC)*** exhibited more positive probiotic effects than Lactobacillus rhamnosus GG in preventing intestinal inflammatory *** results revealed that both strains improved the abundance of deficient intestinal microbiota in UC mice,including Muribaculaceae and *** the serum metabolome,they modulated the DSS-disturbed levels of metabolites,with significant increment of cinnamic ***,they reduced the expression levels of interleukin-1β(IL-1β),interleukin-6(IL-6)inflammatory factors and increased zonula occludens-1(ZO-1),Occludin,and cathelicidin-related antimicrobial peptide(CRAMP)in the ***,these results demonstrated that Lactobacillus *** derived from FBS showed promising probiotic activity based on the gut microbiome homeostasis modulation,anti-inflammation and intestinal barrier protection in UC mice.

关键词： Fermented bamboo shoots Lactobacillus Probiotic activity Gut microbiome modulation Ulcerative colitis

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中国党政组织关系的具体形态和生成逻辑

政治学研究 2024年第2期 63-79,M0004,M0005页

作者：刘鹏李海林中国人民大学公共管理学院北京市100872

党政关系是党和国家机构改革和中国国家治理体系的核心,但落实到具体的党政组织结构上,现有研究呈现出宏观分合形态和具体组织形式的脱节,以及缺乏对不同组织形式内在逻辑的探讨。本文设定了衡量党政组织关系分合程度的具体标准,以“分... 详细信息

党政关系是党和国家机构改革和中国国家治理体系的核心,但落实到具体的党政组织结构上,现有研究呈现出宏观分合形态和具体组织形式的脱节,以及缺乏对不同组织形式内在逻辑的探讨。本文设定了衡量党政组织关系分合程度的具体标准,以“分设-合一”维度依次分析了党政组织关系的五种不同形态:党委领导下的党政分设、统领协调、归口领导、合署办公、合并设立,总结了其概念、特征、演进和分布;基于这一维度,分析了影响党政关系分合的四种影响因素,认为党的领导越趋向全面系统化、党政机构协调成本降低空间越大、政府机构业务综合性战略性越强、工作政治性越强而导致党政责任边际模糊,则党政组织越倾向合一,同时在不同自主性强度的改革中,这种分合关系会在政府纵向层级间呈现差异化特征;最后提出了对未来我国党政关系分合模式的优化建议。

关键词：党政组织关系统领协调归口领导合署办公合并设立

从“两个结合”深刻把握铸牢中华民族共同体意识重大理论创新

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民族学刊 2024年第5期15卷 1-9+119页

作者：李海林王刚西南民族大学马克思主义学院西南民族大学哲学学院

铸牢中华民族共同体意识作为新时代党的民族工作的主线、作为民族地区各项工作的主线，造就了一个有机统一的文化共同体、民族共同体，赋能中华民族伟大复兴，是对21世纪历史唯物主义理论发展的原创性贡献，是“两个结合”的典范。一方... 详细信息

铸牢中华民族共同体意识作为新时代党的民族工作的主线、作为民族地区各项工作的主线，造就了一个有机统一的文化共同体、民族共同体，赋能中华民族伟大复兴，是对21世纪历史唯物主义理论发展的原创性贡献，是“两个结合”的典范。一方面，从辩证唯物主义和历史唯物主义，特别是从习近平新时代中国特色社会主义思想的世界观和方法论科学分析中华民族五千多年的交往交流交融史这个“中国具体实际”,阐明了铸牢中华民族共同体意识的科学性和价值性，从根源上讲明了中华民族共同体的物质性和客观实在性。既有重大的理论创新，也避免陷入三重“困境”,即共同体理论唯心史观窠臼困境、“只讲民族之分，不讲民族之融；只讲差异性，不讲共同性”困境和“为少数人服务”困境。另一方面，深刻汲取中华优秀传统文化精髓，充分体现了中华文明的突出特性，拓展了马克思主义民族理论中国化时代化更加宏阔深远的历史纵深，赋予了中华优秀传统文化时代的活力和魅力。

关键词： “两个结合” 铸牢中华民族共同体意识马克思主义共同体理论

从信号到知识——基于人工智能的医学影像裸数据诊断价值初探

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Engineering 2024年第3期34卷 60-69页

作者： Bingxi He Yu Guo Yongbei Zhu lixia Tong Boyu Kong Kun Wang Caixia Sun hailin li Feng Huang liwei Wu Meng Wang Fanyang Meng Le Dou Kai Sun Tong Tong Zhenyu liu Ziqi Wei Wei Mu Shuo Wang Zhenchao Tang Shuaitong Zhang Jingwei Wei lizhi Shao Mengjie Fang Juntao li Shouping Zhu lili Zhou Shuo Wang Di Dong Huimao Zhang Jie Tian Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Engineering MedicineBeihang UniversityBeijing 100191China Key Laboratory of Big Data-Based Precision Medicine Beihang UniversityMinistry of Industry and Information TechnologyBeijing 100191China CAS Key Laboratory of Molecular Imaging Institute of AutomationChinese Academy of SciencesBeijing 100190China Department of Radiology The First Hospital of Jilin UniversityChangchun 130021China Neusoft Medical Systems Co.Ltd. Shenyang 110167China Neusoft Research of Intelligent Healthcare Technology Co.Ltd. Shenyang 110167China School of life Science and Technology Xidian UniversityXi’an 710126China Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi’an 710126China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China

Encouraging and astonishing developments have recently been achieved in image-based diagnostic *** medical care and imaging technology are becoming increasingly ***,the current diagnosis pattern of signal to image to knowledge inevitably leads to information distortion and noise introduction in the procedure of image reconstruction(from signal to image).Artificial intelligence(AI)technologies that can mine knowledge from vast amounts of data offer opportunities to disrupt established *** this prospective study,for the first time,we develop an AI-based signal-toknowledge diagnostic scheme for lung nodule classification directly from the computed tomography(CT)raw data(the signal).We find that the raw data achieves almost comparable performance with CT,indicating that it is possible to diagnose diseases without reconstructing ***,the incorporation of raw data through three common convolutional network structures greatly improves the performance of the CT models in all cohorts(with a gain ranging from 0.01 to 0.12),demonstrating that raw data contains diagnostic information that CT does not *** results break new ground and demonstrate the potential for direct signal-to-knowledge domain analysis.

关键词： Computed tomography Diagnosis Deep learning Lung cancer Raw data

跨界团队网络特征对其颠覆性创新绩效的影响研究

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情报学报 2024年第4期43卷 391-404页

作者：林春培朱晓艳余传鹏廖杨月李海林华侨大学工商管理学院泉州362021 华侨大学商务管理研究中心泉州362021 福建省习近平新时代中国特色社会主义思想研究中心华侨大学研究基地泉州362021 华南理工大学旅游管理系广州510006 华侨大学现代应用统计与大数据研究中心厦门361021

跨界团队在企业等创新主体开展颠覆性创新活动中发挥重要作用,而运用机器学习方法识别其网络特征与颠覆性创新绩效之间殊途同归的组态路径是一个亟待解决的重要问题。本文基于Incopat专利检索平台无人机领域139999条专利数据,采用社区... 详细信息

跨界团队在企业等创新主体开展颠覆性创新活动中发挥重要作用,而运用机器学习方法识别其网络特征与颠覆性创新绩效之间殊途同归的组态路径是一个亟待解决的重要问题。本文基于Incopat专利检索平台无人机领域139999条专利数据,采用社区发现算法在专利发明人合作关系数据中识别185个跨界团队,依据社会网络理论遴选跨界团队网络特征变量,利用k-means聚类算法对跨界团队进行类型划分,并运用决策树CART(classification and regression trees)算法挖掘不同类型跨界团队网络特征对其颠覆性创新绩效的影响。研究结果表明,①跨界团队共有二元合作、类完全合作和复杂合作3种合作类型,不同跨界团队类型对颠覆性创新绩效影响具有差异性,即类完全合作团队高颠覆性创新绩效占比最高,二元合作团队高颠覆性创新绩效占比最低;②合作强度具有普适性,它是影响不同跨界团队形成不同水平颠覆性创新绩效的核心因素;③合作强度正向影响二元合作团队颠覆性创新绩效,类完全合作团队的颠覆性创新绩效受聚集系数、合作强度与团队规模的共同影响,而对于合作强度较高的复杂合作团队而言,保持较低的网络密度有利于其提升颠覆性创新绩效。

关键词：颠覆性创新绩效跨界团队网络特征决策规则聚类分析

Novel sensor selection strategy for LPI based on an improved IMMPF tracking method

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Journal of Systems Engineering and Electronics 2014年第6期25卷 1004-1010页

作者： Zhenkai Zhang Jiehao Zhu Yubo Tian hailin li College of Electronic Information Jiangsu University of Science and Technology Science and Technology on Electronic Information Control Laboratory Key Laboratory of Radar Imaging and Microwave Photonics Nanjing University of Aeronautics and Astronautics

Sensor platforms with active sensing equipment such as radar may betray their existence, by emitting energy that will be intercepted by enemy surveillance sensors. The radar with less emission has more excellent performance of the low probability of intercept（LPI）. In order to reduce the emission times of the radar, a novel sensor selection strategy based on an improved interacting multiple model particle filter（IMMPF） tracking method is presented. Firstly the IMMPF tracking method is improved by increasing the weight of the particle which is close to the system state and updating the model probability of every particle. Then a sensor selection approach for LPI takes use of both the target＇s maneuverability and the state＇s uncertainty to decide the radar＇s radiation time. The radar will work only when the target＇s maneuverability and the state＇s uncertainty exceed the control capability of the passive sensors. Tracking accuracy and LPI performance are demonstrated in the Monte Carlo simulations.

关键词： sensor selection low probability of intercept(LPI) interacting multiple model(IMM) particle filter target tracking

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基于真空压铸技术的机壳压铸模设计

模具制造 2024年第2期24卷 48-52页

作者：李海林蓝嘉盛广州城建职业学院广东广州510900

通过对机壳压铸件的结构工艺分析,介绍了真空压铸技术下模具的浇注系统、成型零件、侧向分型与抽芯机构、推出机构、溢流与排气系统、温度控制系统等机构的设计要点,相比普通压铸的模具,能有效减低压铸原材料的损耗,提升压铸件质量,为... 详细信息

通过对机壳压铸件的结构工艺分析,介绍了真空压铸技术下模具的浇注系统、成型零件、侧向分型与抽芯机构、推出机构、溢流与排气系统、温度控制系统等机构的设计要点,相比普通压铸的模具,能有效减低压铸原材料的损耗,提升压铸件质量,为类似模具的设计提供一定的参考借鉴。

关键词：结构工艺真空压铸模具设计

血清谷丙转氨酶/谷草转氨酶联合癌胚抗原预测肝细胞癌术后患者预后的价值

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医学临床研究 2024年第6期41卷 900-902,906页

作者：李海林刘东唐金玉上海杨思医院检验科上海200126 上海杨思医院肝外科上海200126

【目的】探讨血清谷丙转氨酶/谷草转氨酶(ALT/AST)联合癌胚抗原(CEA)预测肝细胞癌术后患者预后的价值。【方法】本院经手术治疗的91例肝细胞癌患者,术后随访3年,统计存活情况,比较死亡和存活患者的临床相关资料,分析影响死亡的因素及血... 详细信息

【目的】探讨血清谷丙转氨酶/谷草转氨酶(ALT/AST)联合癌胚抗原(CEA)预测肝细胞癌术后患者预后的价值。【方法】本院经手术治疗的91例肝细胞癌患者,术后随访3年,统计存活情况,比较死亡和存活患者的临床相关资料,分析影响死亡的因素及血清ALT/AST联合CEA预测预后的价值。【结果】91例患者失访9例,其余82例中,共28例死亡,54例存活。死亡组患者低分化、Child-Pugh分级B级、远处转移构成比及血清CEA水平均高于存活组(P<0.05),死亡组患者ALT/AST低于存活组(P<0.05)。远处转移、ALT/AST、CEA是影响患者死亡的独立危险因素(OR=4.158、4.039、4.067,P<0.05);血清ALT/AST联合CEA预测肝细胞癌患者术后死亡的特异度和曲线下面积(AUC)分别为96.30%和0.946,其预测价值高于ALT/AST、CEA单独检测。【结论】临床检测血清ALT/AST和CEA可作为预测肝细胞癌患者术后死亡的敏感指标,二者联合检测的预测价值更高。

关键词：癌,肝细胞/外科学丙氨酸转氨酶/血液天冬氨酸氨基转移酶类/血液癌胚抗原

CT radiomics can help screen the coronavirus disease2019(COVID-19): a preliminary study

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Science China(Information Sciences) 2020年第7期63卷 222-229页

作者： Mengjie FANG Bingxi HE li li Di DONG Xin YANG Cong li lingwei MENG lianzhen ZHONG hailin li Hongjun li Jie TIAN School of Artificial Intelligence University of Chinese Academy of Sciences CAS Key Laboratory of Molecular Imaging Institute of Automation Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Department of Radiology Beijing Youan Hospital Capital Medical University Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of MedicineBeihang University

The coronavirus disease 2019(COVID-19) is raging across the world. The radiomics, which explores huge amounts of features from medical image for disease diagnosis, may help the screen of the COVID-19. In this study, we aim to develop a radiomic signature to screen COVID-19 from CT *** retrospectively collect 75 pneumonia patients from Beijing Youan Hospital, including 46 patients with COVID-19 and 29 other types of pneumonias. These patients are divided into training set(n = 50) and test set(n = 25) at random. We segment the lung lesions from the CT images, and extract 77 radiomic features from the lesions. Then unsupervised consensus clustering and multiple cross-validation are utilized to select the key features that are associated with the COVID-19. In the experiments, while twenty-three radiomic features are found to be highly associated with COVID-19, four key features are screened and used as the inputs of support vector machine to build the radiomic signature. We use area under the receiver operating characteristic curve(AUC) and calibration curve to assess the performance of our model. It yields AUCs of 0.862 and 0.826 in the training set and the test set respectively. We also perform the stratified analysis and find that its predictive ability is not affected by gender, age, chronic disease and degree of *** conclusion, we investigate the value of radiomics in screening COVID-19, and the experimental results suggest the radiomic signature could be a potential tool for diagnosis of COVID-19.

关键词： coronavirus disease 2019 radiomics pneumonia diagnosis