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Bio-Design and Manufacturing 2024年第2期7卷 153-166页

作者： Ding wang Qinyu li Chenyang Zhou Zhangjie li Kangyi Lu Yijun liu lian Xuan Xiaolin wang Department of Micro/Nano Electronics School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Ophthalmology LKS Faculty of MedicineThe University of Hong KongHong Kong 999077China Institute of Medical Robotics Shanghai Jiao Tong UniversityShanghai 200240China National Key Laboratory of Advanced Micro and Nano Manufacture technology Shanghai Jiao Tong UniversityShanghai 200240China National center for Translational Medicine(Shanghai)SHU Branch Shanghai UniversityShanghai 200444China

A combination of hydrogels and microfluidics allows the construction of biomimetic three-dimensional(3D)tissue models in vitro,which are also known as *** hydrogel patterningwith awell-controlled spatial distribution is typically achieved by embedding sophisticated microstructures to act as a ***,these physical barriers inevitably expose cells/tissues to a less physiologically relevant microenvironment than in vivo ***,we present a novel dissolvable temporary barrier(DTB)strategy that allows robust and flexible hydrogel patterning with great freedom of design and desirable flow stimuli for cellular *** key aspect of this approach is the patterning of a water-soluble rigid barrier as a guiding path for the hydrogel using stencil printing technology,followed by a barrier-free medium perfusion after the dissolution of the *** and multiple tissue compartments with different geometries can be established using either straight or curved DTB *** effectiveness of this strategy is further validated by generating a 3D vascular network through vasculogenesis and angiogenesis using a vascularized microtumor *** a new proof-of-concept in vasculature-on-a-chip,DTB enables seamless contact between the hydrogel and the culture medium in closed microdevices,which is an improved protocol for the fabrication ofmultiorgan ***,we expect it to serve as a promising paradigm for organ-on-a-chip devices for the development of tumor vascularization and drug evaluation in the future preclinical studies.

关键词： Dissolvable temporary barrier Hydrogel patterning Microfluidics Organ-on-a-chip Vascularization

Digital Transformation and Green technology Innovation in Manufacturing Enterprises: A Study Based on Big Data Text Mining

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Frontiers of Business research in China 2024年第3期18卷 298-317页

作者： YIN Ximing wang Zhaohui CHEN Jin li Jizhen School of management and Economics Bejing Institute of TechnologyBejing 100081China HKU Business School The University of Hong KongHong Kong 999077China School of Economics and management Tsinghua UniversityBejing 100084China

Digital transformation serves as a new driving force and engine for enterprise ***,the national strategy of carbon peaking and carbon neutrality has set new goals and requirements for the green development of the Chinese manufacturing *** the three-dimensional perspective of"strategy-resource-institution,"this paper explores the impact and mechanism of digital transformation on green technology innovation of Chinese manufacturing enterprises and the heterogeneous impact of the institutional logic of ownership *** a sample of 1,016 A-share listed manufacturing companies on the Shanghai and Shenzhen Stock Exchanges from 2011 to 2019 and based on big data text mining and a negative binomial regression model,this study finds that:(1)Digital strategy significantly enhances green technology innovation capability of enterprises;(2)digital resource investment partially mediates the effect of digital strategy on the enhancement of green technology innovation capability;and(3)the ownership structure of enterprises plays a moderating role in the mediating relationship mentioned ***,compared to state-owned enterprises(SOEs),non-state-owned enterprises(NsOEs)show no significant difference in the stages where digital strategy promotes green technology innovation and guides digital resource ***,they demonstrate higher efficiency in transforming digital resource investment into green technology *** robustness test indicates that the significant effect of digital strategy and resource investment on green technology innovation in enterprises remains valid in the medium term,with a continuous enabling *** is no significant difference between SOEs and NsOEs in the medium and long term in promoting green technology innovation through digital ***,introducing keyword text networks to explore the structural impact of digital strategy,this study finds that digital product and manufact

关键词： digital transformation carbon peaking and carbon neutrality green technology innovation strategy resource-based view(RBV)

Expert consensus on the diagnosis, treatment, and prevention of respiratory syncytial virus infections in children

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World Journal of Pediatrics 2024年第1期20卷 11-25页

作者： Xian-li Zhang Xi Zhang wang Hua Zheng-De Xie Han-Min liu Hai-lin Zhang Bi-Quan Chen Yuan Chen Xin Sun Yi Xu Sai-Nan Shu Shun-Ying Zhao Yun-Xiao Shang ling Cao Yan-Hui Jia Luo-Na lin Jiong li Chuang-li Hao Xiao-Yan Dong Dao-Jiong lin hong-Mei Xu De-Yu Zhao Mei Zeng Zhi-Min Chen li-Su Huang Department of Infectious Disease Children's HospitalZhejiang University School of Medicine3333 Binsheng RoadBinjiang DistrictHangzhou 310052China Clinical research Unit Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina Beijing Pediatric research Institute Beijing Children's HospitalCapital Medical UniversityBeijingChina Department of Pediatric Pulmonology West China Second University HospitalSichuan UniversityChengduChina Department of Pediatric Pulmonology the Second Affiliated Hospital&Yuying Children's HospitalWenzhou Medical UniversityWenzhouChina Department of Infectious Disease Anhui Provincial Children's HospitalHefeiChina Department of Pediatrics the Second Hospital of Hebei Medical UniversityShijiazhuangChina Department of Pediatrics Xijing Hospitalthe Fourth Military Medical UniversityXi'anChina Department of Infectious Disease Guangzhou Women and Children's Medicine CenterGuangzhou Medicine UniversityGuangzhouChina Department of Pediatrics Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina Department of Respiratory Disease Beijing Children's HospitalCapital Medical UniversityBeijingChina Department of Pediatric Respiratory Shengjing Hospital of China Medical UniversityShenyangChina Respiratory Department Children's Hospital Affiliated to Capital Institute of PediatricsBeijingChina Department of Clinical Epidemiology Aarhus UniversityAarhusDenmark Department of Respirology Children's Hospital of Soochow UniversitySuzhouChina Department of Respiratory Children's Hospital of ShanghaiChildren's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina Department of Infectious Disease Hainan Women and Children's Medical CenterHaikouChina Department of Infectious Disease Children's Hospital of Chongqing Medical UniversityChongqingChina Department of Respiratory Children's Hospital of Nanjing Medical UniversityNanjingChina Department of Infectious Di

Background Respiratory syncytial virus(RSV)is the leading global cause of respiratory infections and is responsible for about 3 million hospitalizations and more than 100,000 deaths annually in children younger than 5 years,representing a major global healthcare *** is a great unmet need for new agents and universal strategies to prevent RSV infections in early life.A multidisciplinary consensus development group comprising experts in epidemiology,infectious diseases,respiratory medicine,and methodology aims to develop the current consensus to address clinical issues of RSV infections in *** sources The evidence searches and reviews were conducted using electronic databases,including PubMed,Embase,Web of Science,and the Cochrane library,using variations in terms for"respiratory syncytial virus","RSV","lower respiratory tract infection","bronchiolitis","acute","viral pneumonia","neonatal","infant""children",and"pediatric".Results Evidence-based recommendations regarding diagnosis,treatment,and prevention were proposed with a high degree of *** supportive care remains the cornerstone for the management of RSV infections,new monoclonal antibodies,vaccines,drug therapies,and viral surveillance techniques are being rolled *** This consensus,based on international and national scientific evidence,reinforces the current recommendations and integrates the recent advances for optimal care and prevention of RSV *** improvements in the management of RSV infections will require generating the highest quality of evidence through rigorously designed studies that possess little bias and sufficient capacity to identify clinically meaningful end points.

关键词： Consensus prevention Respiratory syncytial virus Treatment

Spatiotemporal distribution,environmental risk and carbon emission reduction potential of livestock manure in Shaanxi Province,China

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Frontiers of Agricultural Science and engineering 2024年第3期11卷 381-396页

作者： Mengyuan QIAO jianchun ZHU Ronghua li Junting PAN Ran XIAO Hailong wang Kuok Ho Daniel TANG Zengqiang ZHANG College of Humanities&Social development Northwest A&F UniversityYangling 712100China College of Natural Resources and Environment Northwest A&F UniversityKey Laboratory of Low-carbon Green Agriculture in Northwestern ChinaMinistry of Agriculture and Rural AffairsYangling 712100China Key Laboratory of Non-point Source Pollution of Ministry of Agricultural and Rural Affairs Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081China Interdisciplinary research center for Agriculture Green development in Yangtze River Basin College of Resources and EnvironmentSouthwest UniversityChongqing 400715China Biochar engineering technology research center of Guangdong Province School of Environmental and Chemical EngineeringFoshan UniversityGuangdong 528000China Department of Environmental Science University of ArizonaTucsonAZ 85721USA

Shaanxi is a leading province in animal husbandry(AH)in ***,the lack of provincial information on the characteristics and utilization potential of livestock manure(LM)hinders crucial management ***,we investigated the spatiotemporal distribution,availability and biogas potential of LM in Shaanxi,and examine the carbon emission reduction potential of *** has been a 1.26-fold increase in LM quantities in Shaanxi over the past 35 years,reaching 4635.6×10^(4)t by *** was mainly concentrated in northern Shaanxi and the eastern part of *** and pig manure were the primary sources of LM,with the average LM land-load of 14.57 t·ha^(−1)in *** the overall AH in Shaanxi has not exceeded the environmental capacity,the actual scales of AH in Ankang and Hanzhong have already surpassed the respective environmental capacities,posing a higher risk of N and P *** 2021,the estimated biogas energy potential of LM was 1.2×10^(11)*** 2012 to 2021,the average carbon emission reduction potential in Shaanxi was 22%,with an average potential scale of 10%.The results of this research provide valuable data and policy recommendations for promoting the intensive use of LM and reducing carbon emissions in Shaanxi.

关键词： livestock manure emission estimation N and P loads biogas potential carbon emission reduction

基于像控网的实景三维快速更新方法研究与应用

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测绘通报 2024年第S2期 151-155页

作者：马红刘超祥王大涛重庆市测绘科学技术研究院重庆401121 自然资源部智能城市时空信息与装备工程技术创新中心重庆401121

面向实景三维快速制作与更新需求,本文提出一种基于像控网的更新制作方法。首先,利用已有基底实景三维和影像数据作为几何控制基础,通过影像匹配提取特征点和特征描述子;其次,引入历史空三加密过程数据,导出加密点和特征描述子;然后,将... 详细信息

面向实景三维快速制作与更新需求,本文提出一种基于像控网的更新制作方法。首先,利用已有基底实景三维和影像数据作为几何控制基础,通过影像匹配提取特征点和特征描述子;其次,引入历史空三加密过程数据,导出加密点和特征描述子;然后,将匹配的特征点和加密点纳入统一管理,构建像控网;最后,在处理新获取的倾斜影像过程中,利用特征匹配方式,从像控网中提取控制点,并完成控制点的自动转刺,实现实景三维模型的高精度快速更新制。通过试验与分析,本文方法在无地面控制点空三方面表现良好,更新制作的实景三维精度与基底实景三维相当。

关键词：实景三维倾斜摄影特征匹配像控网

All-optical nanoscale thermometry with silicon carbide color centers

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Photonics research 2024年第8期12卷 1696-1702页

作者： CHENGYING liU HAIBO HU ZHENGTONG liU SHUMIN XIAO JUNFENG wang YU ZHOU QINGHAI SONG Ministry of Industry and information technology Key Laboratory of Micro-Nano Optoelectronic information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic SystemsHarbin Institute of TechnologyShenzhen 518055China Pengcheng Laboratory Shenzhen 518055China Quantum Science center of Guangdong-hong Kong-Macao Greater Bay Area Shenzhen-Hong Kong International Science and Technology ParkShenzhen 518045China Collaborative Innovation center of Extreme Optics Shanxi UniversityTaiyuan 030006China College of Physics Sichuan UniversityChengdu 610065China

All-optical thermometry plays a crucial role in precision temperature measurement across diverse *** defects in solids are one of the most promising sensors due to their excellent sensitivity,stability,and ***,it faces limitations,such as the microwave heating effect and the complexity of spectral *** these challenges,we introduce a novel approach to nanoscale optical thermometry using quantum defects in silicon carbide(SiC),a material compatible with complementary metal-oxide-semiconductor(CMOS)*** method leverages the intensity ratio between anti-Stokes and Stokes emissions from SiC color centers,overcoming the drawbacks of traditional techniques such as optically detected magnetic resonance(ODMR)and zero-phonon line(ZPL)*** technique provides a real-time,highly sensitive(1.06%K^(-1)),and diffraction-limited temperature sensing protocol,which potentially helps enhance thermal management in the future miniaturization of electronic components.

关键词： carbide optical centers

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基于数据挖掘的前沿技术识别方法与实证研究

系统工程与电子技术 2024年第9期46卷 3082-3092页

作者：苗红连佳欣李伟伟耿国桐王浩桐张惠钊吴菲菲北京工业大学经济与管理学院北京100124 军事科学院国防科技创新研究院北京100071 军事科学院军事科学信息研究中心北京100011

依据前沿技术的前瞻性、先导性、探索性及颠覆性特征,构建基于数据挖掘的前沿技术识别方法,可为高效制定技术发展策略、合理调整技术规划布局提供支撑。首先,以工程索引(engineering index,EI)和德温特创新(Derwent innovation,DI)平台... 详细信息

依据前沿技术的前瞻性、先导性、探索性及颠覆性特征,构建基于数据挖掘的前沿技术识别方法,可为高效制定技术发展策略、合理调整技术规划布局提供支撑。首先,以工程索引(engineering index,EI)和德温特创新(Derwent innovation,DI)平台数据库为数据源,制定检索表达式采集数据,并对数据进行预处理。其次,建立表征前沿技术特征的指标体系,并对据此筛选出的技术文本数据进行挖掘,识别前沿技术主题。最后,以量子计算领域为例开展实证研究,识别出量子纠错技术、光量子芯片技术等前沿技术点,经技术专家等验证,表明识别结果科学有效。

关键词：数据挖掘技术识别前沿技术

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Rethinking development and major research plans of Industrial Internet in China

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Fundamental research 2024年第1期4卷 3-7页

作者： Chunxiao jiang Yang Cong Jiming Chen Chenghong wang Guozheng Wu Ruizhen Zhao Zhiheng wang Bin Xiao Ting Chen Beijing National research center for information Science and technology Tsinghua UniversityBeijing 100084China Tsinghua Space center Tsinghua UniversityBeijing 100084China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China College of Control Science and engineering Zhejiang UniversityHangzhou 310027China Division III Department of Information SciencesNational Natural Science Foundation of ChinaBeijing 100085China Division II Department of Information SciencesNational Natural Science Foundation of ChinaBeijing 100085China chongqing Key Laboratory of Image Cognition School of Computer Science and TechnologyChongqing University of Posts and TelecommunicationsChongqing 400065China University of Electronic Science and technology of China Chengdu 611731China

This paper gives a definition of the Industrial Internet and expounds on the academic connotation of the future Industrial *** this foundation,we outline the development and current status of the Industrial Internet in China and ***,we detail the avant-garde paradigms encompassed within the National Natural Science Foundation of China(NSFC)’s“Future Industrial Internet Fundamental Theory and Key Technologies”research plan and its corresponding management *** research initiative endeavors to enhance interdisciplinary collaborations,aiming for a synergistic alignment of industry,academia,research,and practical *** primary focus of the research plan is on the pivotal scientific challenges inherent to the future industrial *** is poised to traverse the“first mile”,encompassing foundational research and pioneering innovations specific to the industrial internet,and seamlessly bridges to the“last mile”,ensuring the effective commercialization of scientific and technological breakthroughs into tangible industrial market *** anticipated contributions from this initiative are projected to solidify both the theoretical and practical scaffolding essential for the cultivation of a globally competitive industrial internet infrastructure in China.

关键词： Industrial Internet Academic connotation Major research plan Scientific problem Policy advice

Comparative Analysis of ARIMA and LSTM Model-Based Anomaly Detection for Unannotated Structural Health Monitoring Data in an Immersed Tunnel

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Computer Modeling in engineering & Sciences 2024年第5期139卷 1797-1827页

作者： Qing Ai Hao Tian Hui wang Qing Lang Xingchun Huang Xinghong jiang Qiang Jing School of Naval Architecture Ocean and Civil EngineeringShanghai Jiao Tong UniversityShanghai200240China Key Laboratory of Road and Bridge Detection and Maintenance technology of Zhejiang Province Hangzhou311305China Zhejiang Scientific research Institute of Transport Hangzhou310023China State Key Laboratory of Coal Mine Dynamics and Control Chongqing UniversityChongqing400044China hong Kong-Zhuhai-Macao Bridge Authority Zhuhai519060China

Structural Health Monitoring(SHM)systems have become a crucial tool for the operational management of long *** immersed tunnels exposed to both traffic loads and the effects of the marine environment,efficiently identifying abnormal conditions from the extensive unannotated SHM data presents a significant *** study proposed amodel-based approach for anomaly detection and conducted validation and comparative analysis of two distinct temporal predictive models using SHM data from a real immersed ***,a dynamic predictive model-based anomaly detectionmethod is proposed,which utilizes a rolling time window for modeling to achieve dynamic *** the assumption of temporal data similarity,an interval prediction value deviation was employed to determine the abnormality of the ***,dynamic predictive models were constructed based on the Autoregressive Integrated Moving Average(ARIMA)and Long Short-Term Memory(LSTM)*** hyperparameters of these models were optimized and selected using monitoring data from the immersed tunnel,yielding viable static and dynamic predictive ***,the models were applied within the same segment of SHM data,to validate the effectiveness of the anomaly detection approach based on dynamic predictive modeling.A detailed comparative analysis discusses the discrepancies in temporal anomaly detection between the ARIMA-and LSTM-based *** results demonstrated that the dynamic predictive modelbased anomaly detection approach was effective for dealing with unannotated SHM *** a comparison between ARIMA and LSTM,it was found that ARIMA demonstrated higher modeling efficiency,rendering it suitable for short-term *** contrast,the LSTM model exhibited greater capacity to capture long-term performance trends and enhanced early warning capabilities,thereby resulting in superior overall performance.

关键词： Anomaly detection dynamic predictive model structural health monitoring immersed tunnel LSTM ARIMA