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Experimental studies on removal of carbon dioxide by aqueous ammonia fine spray

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Science China(Technological Sciences) 2010年第1期53卷 117-122页

作者： NIU ZhenQi,GUO YinCheng & lin wenyi Department of Engineering Mechanics,School of Aerospace,Tsinghua University,Beijing 100084,China Department of Engineering Mechanics School of Aerospace Tsinghua University Beijing China

Experimental studies on carbon dioxide capture in a spray scrubber were carried *** spray of aqueous ammonia was used as CO2 *** of different operating and design parameters on CO2 removal efficiency including concentration of aqueous ammonia,liquid flow rate,total gas flow rate,initial temperature and concentration of carbon dioxide were investigated.

关键词： carbon dioxide aqueous ammonia absorption removal efficiency fine spray

The Intelligent Safety Assessment Method of Dynamic System Based on Knowledge Graph and Deep Learning

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The Intelligent Safety Assessment Method of Dynamic System B...

第31届中国过程控制会议（CPCC2020）

作者： Huang Pengfei Chai Yi wenyi lin School of automation Chongqing University

With the increasing demands for higher system safety and reliability, safety assessment has become an extremely important research issue. For the systems related to major projects, human safety and industrial production, their abnormal state could yield to the failure of the whole project, and cause enormous property losses and casualties. It is necessary to assess the safety in advance, therefore, there is a desperate need to investigate safety estimation problem of a dynamic *** massive components, complex coupling relations, and the dynamic characteristic of a system bring huge difficulty to the safety assessment. The traditional safety assessment methods have three main limitations. Firstly, they could only observe and process very limited data, the dimensions of observe and analysis provided by the data is severely limited. Secondly, it is hard for them to dig up the potential relations between different components, and themselves to the system safety. Lastly, there are a large number of alert signals raised by a wide variety of components continuously, the truly vital alert which influence the safety of the system may be flooded, traditional method cannot identify the critical alert information among the big data, it cannot prioritize the threat by degree, it may even lead to wrong safety *** paper proposed a safety assessment method of dynamic system based on knowledge graph, graph embedding, and deep learning. The knowledge graph was used to process, integrate, and transform the multi-source and heterogeneous security domain information into a structured intelligent security knowledge base, and can establish semantic relation between the plain data and safety knowledge as it has a set of interconnected typed entities and their attributes. Based on the created knowledge graph, an accordingly graph embedding method based on deep learning was used to map the graph data(high-dimensional dense matrix)to low-dimensional dense vector, which conta

关键词： Knowledge graph Embedding Safety Assessment

Amphiphilic peptide dendrimer-based nanovehicles for safe and effective siRNA delivery

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Biophysics Reports 2020年第6期6卷 278-289页

作者： Chi Ma Dandan Zhu Yu Chen Yiwen Dong wenyi lin Ning Li Wenjie Zhang Xiaoxuan Liu State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases Center of Advanced Pharmaceuticals and BiomaterialsChina Pharmaceutical University

Small interfering RNA(siRNA)-based RNA interference has emerged as a promising therapeutic strategy for the treatment of a wide range of incurable diseases. However, the safe and effective delivery of siRNA therapeutics into the interior of target cells remains challenging. Here, we disclosed novel amphiphilic peptide dendrimers(AmPDs) that composed of hydrophobic two lipid-like alkyl chains and hydrophilic poly(lysine) dendrons with different generations(2 C18-KK2 and 2 C18-KK2 K4) as nanovehicles for siRNA delivery. These AmPDs are able to self-assemble into supramolecular nanoassemblies that are capable of entrapping siRNA molecules into nanoparticles to protect siRNA from enzymatic degradation and promote efficient intracellular uptake without evident toxicity. Interestingly, by virtue of the optimal balance of hydrophobic lipid-like entity and hydrophilic poly(lysine) dendron generations, AmPD 2 C18-KK2 K4 bearing bigger hydrophilic dendron can package siRNA to form stable, but more ready to disassemble complexes, thereby resulting in more efficient siRNA releasing and better gene silencing effect in comparison with AmPD 2 C18-KK2 bearing smaller dendron. Additional studies confirmed that 2 C18-KK2 K4 can capitalize on the advantages of lipid and peptide dendrimer vectors for effective siRNA delivery. Collectively, our AmPD-based nanocarriers indeed represent a safe and effective siRNA delivery system. Our findings also provide a new perspective on the modulation of selfassembly amphiphilic peptide dendrimers for the functional and adaptive delivery of siRNA therapeutics.

关键词： Amphiphilic peptide dendrimer Supramolecular nanoassemblies RNA interference siRNA delivery

Safety Analysis of Cryogenic Loading System Based on Knowledge Graph

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Safety Analysis of Cryogenic Loading System Based on Knowled...

第40届中国控制会议

作者： Yunling Liu Yi Chai wenyi lin Xinyi Li Key Laboratory of complex system safety and control Ministry of Education College of AutomationChongqing University

Aiming at the problem that it is difficult to realize the traditional way of establishing mechanism model and then analyzing the safety of cryogenic loading system,this paper proposes to build a "system-subsystem-equipment" functional hierarchy model to simplify the difficulty of safety *** order to solve the problems of scattered research results of system safety analysis and difficult knowledge sharing,this paper uses knowledge graph to integrate knowledge related to filling accidents,establishes ontology model of cryogenic loading system based on OWL,realizes the association among accident,evaluation index,monitoring data and other ontologies,and uses SWRL to establish the corresponding relationship among class,instance and *** safety knowledge ontology and SWRL rules are put into the rule engine for reasoning and mining the hidden ***,an example of the actuator subsystem in cryogenic loading system is *** results show that the method can solve the problems of knowledge representation difficulty,lack of automatic semantic reasoning,poor reusability and sharing in cryogenic loading system.

关键词： knowledge graph SWRL rules safety analysis filling accidents

多文本阅读理解中的认识论信念:实证进展及理论争议

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心理科学 2020年第4期43卷 821-827页

作者：林文毅江苏师范大学教育科学学院徐州221116

多文本阅读理解,是将不同来源和内容的多文本信息整合为统一心理表征的认知过程。研究者对于多维度认识论信念与多文本阅读理解之间的关联进行梳理。除知识来源外,其余认识论信念维度促进多文本信息的整合。基于文档模型的理论框架,认... 详细信息

多文本阅读理解,是将不同来源和内容的多文本信息整合为统一心理表征的认知过程。研究者对于多维度认识论信念与多文本阅读理解之间的关联进行梳理。除知识来源外,其余认识论信念维度促进多文本信息的整合。基于文档模型的理论框架,认识论信念各维度对于整合心智模型与跨文本模型的影响,中介效应与调节效应并存。未来的研究可以采用眼动追踪技术和出声思维法等实时的研究方法,对于相关理论模型进行确证和完善。

关键词：认识论信念多文本阅读理解文档模型

Disturbance Rejection Control of Fixed-Wing UAV Pitch Angle Based on Deep Reinforcement Learning and PID

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Disturbance Rejection Control of Fixed-Wing UAV Pitch Angle ...

第35届中国过程控制会议

作者： Fei Xie Xiaolong Chen Yi Chai wenyi lin Ke Zhang College of Automation Chongqing University

Fixed-wing unmanned aerial vehicles(UAVs), known for their high flight speed, long endurance, and maneuverability, have widespread applications in both defense and civilian sectors. To ensure excellent attitude control and disturbance rejection capabilities, the mathematical model of the UAV is decoupled into lateral and longitudinal components. The longitudinal channel mathematical model is obtained to design the pitch angle control. This paper proposes a hybrid intelligent control method, where the PID controller serves as the primary controller, providing stable baseline control. The Proximal Policy Optimization(PPO) algorithm from reinforcement learning is introduced as an auxiliary controller, continually learning, and adjusting to enable the UAV to better cope with complex dynamic environments and external disturbances. This hybrid intelligent control method aims to leverage the robustness of PID control and the adaptability of reinforcement learning to enhance the attitude control performance of fixed-wing UAVs. Simulation results show that the proposed hybrid intelligent control method outperforms the PID controller in both longitudinal attitude control and disturbance rejection capabilities.

关键词： Fixed-wing UAV Reinforcement Learning PID Aircraft Control and Simulation

Degradation Modeling and Parameter Estimation of Components Satisfying Nonlinear Wiener Process

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Degradation Modeling and Parameter Estimation of Components ...

第32届中国过程控制会议(CPCC2021)

作者： Tian Yingming Qi Fei Chai Yi lin wenyi Li Shuo Key Laboratory of complex system safety and control Ministry of Education College of Automation Chongqing University

Degradation modeling and parameter estimation of products based on performance degradation data is the basis of prediction and health management(PHM) technology,which has attracted much attention from scholars at home and *** at the nonlinear degradation process with observed noise that usually exists in products and equipment in practical engineering applications,the nonlinear Wiener process is analyzed and a nonlinear degradation model is ***,based on this model,the parameter estimation of the degradation model is realized by combining Kalman smoothing and EM algorithm to accomplish both denoising and parameter ***,the accuracy of the parameter estimation in this paper is verified by simulation data and the rotating bearing dataset provided by FEMTO-ST institution for simulation validation and example validation,respectively.

关键词： nonlinear degradation modeling Wiener process parameter estimation Kalman smoothing EM algorithm

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反刍思维的脑功能网络机制

心理科学进展 2022年第6期30卷 1262-1269页

作者：林雯仪何昊关青深圳大学心理学院深圳518060 深圳市神经科学研究院深圳518107 深港脑科学创新研究院深圳518055

反刍思维是指个体在经历了消极生活事件后不由自主地反复思考该事件的产生原因、经过和结果,表现出负性自我参照加工、消极情绪性以及持续性的特点。采用脑功能网络分析方法,研究者发现反刍思维的上述三个特点分别与默认网络内部的异常... 详细信息

反刍思维是指个体在经历了消极生活事件后不由自主地反复思考该事件的产生原因、经过和结果,表现出负性自我参照加工、消极情绪性以及持续性的特点。采用脑功能网络分析方法,研究者发现反刍思维的上述三个特点分别与默认网络内部的异常活动模式、突显网络功能连接的改变以及注意相关网络之间的异常耦合有关。未来研究应进一步明确反刍思维与相关脑网络活动之间的因果关系,探究反刍思维脑功能网络的结构基础,同时也应关注反刍思维及其脑网络的老龄化特征,并致力于探索有效干预反刍思维的神经调控技术。

关键词：反刍思维脑网络默认网络功能连接

老年人社区参与影响因素研究——基于2011年中国健康与养老追踪调查(CHARLS)数据的分析

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老龄科学研究 2016年第9期4卷 16-26页

作者：林文亿暨南大学公共管理学院广东广州510632

采用二项Logistic回归分析法,通过分析2011年中国健康与养老追踪调查数据,探究城乡老年人社区参与的影响因素。研究发现,人口学和社会经济地位变量(如教育程度、婚姻状况、户口是否在居住地社区、自评经济状况、健康状况)、社区设施数... 详细信息

采用二项Logistic回归分析法,通过分析2011年中国健康与养老追踪调查数据,探究城乡老年人社区参与的影响因素。研究发现,人口学和社会经济地位变量(如教育程度、婚姻状况、户口是否在居住地社区、自评经济状况、健康状况)、社区设施数量、预期社会支持、是否需要照料家人及是否参与了养老保险项目等,都对老年人的社区参与有显著影响。另外,研究结果显示,城市和农村地区老年人在文娱活动参与方面存在差异性,但在志愿活动参与方面则不存在显著差异,而且,城市和农村老年人社区参与的影响因素各不相同。

关键词：老年人社区参与城乡差异影响因素