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Antagonism between ambient ozone increase and urbanization-oriented population migration on Chinese cardiopulmonary mortality

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The Innovation 2023年第6期4卷 48-58页

作者： Haitong Zhe Sun Junchao zhao Xiang Liu Minghao Qiu Huizhong Shen Serge Guillas Chiara Giorio Zosia Staniaszek Pei Yu Michelle W.L.Wan Man Mei Chim Kim Robin van Daalen Yilin Li Zhenze Liu Mingtao Xia shengxian Ke Haifan zhao Haikun Wang Kebin He Huan Liu Yuming Guo Alexander T.Archibald lYusuf Hamied Department of Chemistry University of CambridgeCambridge CB21EWUK Department of Earth Sciences University of CambridgeCambridge CB23EQUK Department of Environmental Health and Engineering Johns Hopkins Bloomberg School of Public HealthBaltimoreMD 21205USA State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution ComplexSchool of EnvironmentTsinghua UniversityBejing 100084China School of Atmospheric Sciences Nanjing UniversityNanjing 210023China Department of Earth System Science Stanford UniversityStanfordCA 94305USA School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhen 518p55China Department of Statistical Science University College LondonLondon WC1E 6BTUK The Alan Turing Institute London NW12DBUK School of Public Heath and Preventive Medicine Monash UniversityMelboumeVIC 3004Australia British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary CareUniversity of CambridgeCambridge CB18RNUK Heart and Lung Research Institute University of CambridgeCambridge CB20BDUK Baroelona Supercomputing Center Department of Earth Sciences08034 BarcelonaSpain School of Environmental Science and Engineering Nanjing University of Information Science and TechnologyNanjing 210044China Department of Mathematics University of CaliformiaLos AngelesLos AngelesCA 90095USA State Key Laboratory of New Ceramics and Fine Processing KeyLaboratory of Advanced Materials of Ministry of EducationSchool of Materials Science and EngineeringTsinghua UniversityBeijing 100084China Department of Engineering University of CambridgeCambridge CB21PZUK National Centre for Atmospheric Science Cambridge CB21EWUK

Everincreasing ambient ozone(O3)pollution in China has been exacerbating cardiopulmonary premature ***,the urban-rural exposure inequity has seldom been ***,we assess populationcale 03 exposure and mortality burdens between 1990 and 2019 based on integrated pollution tracking and epidemiological *** find Chinese population have been suffering from climbing 03 exposure by 4.3±2.8 ppb per decade as a result of rapid urbanization and growing prosperity of socioeconomic *** residents are broadly exposed to 9.8±4.1 ppb higher ambient O3 than the adjacent urban citizens,and thus urbaniza-tion-oriented migration compromises the exposure-associated mortality on total *** excess premature deaths attributable to longterm 03 exposure,373,500(95%uncertainty interval[U]:240,600-510,900)in 2019,is underestimated in previous studies due to ignorance of cardiovascular *** 03 pollution policy should focus more on rural population who are facing an aggravating threat of mortality risks to ameliorate environmental health injustice.

关键词： ambient urban urbanization

Solid Material Formula of Small Fragrant Chicken Soup Stock and Improvement of Boiling Process

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Asian Agricultural Research 2023年第10期15卷 12-16,19页

作者： Chaohang CHEN Dandan LU Maozhao WU Haiyan WANG Jie XIE Guanghui YANG Shoumei WAN Lingling XIAO shengxian PAN Jinyu zhao Guizhou Qianweiwei Food Co. Ltd.Qiandongnan 556020China Guizhou Leiage Ecological Agricultural Products Development Co. Ltd.Qiandongnan 556020China Guiyang Customs Logistics Management Center Guiyang 550002China Guizhou Light Industry Vocational and Technical College Guiyang 550025China

[Objectives]To study the solid material formula and boiling process of Small Fragrant Chicken Soup Stock.[Methods]Small fragrant chicken and edible fungi were used as the main raw materials to prepare instant chicken and Morchella esculenta soup stock,and the influencing factors such as solid material ratio,ratio of liquid to material,time and temperature were studied,and the optimal formula and process of the soup stock were screened out through sensory and instrument evaluation experiments.[Results]The optimal formula and process of Small Fragrant Chicken Soup Stock were as follows:small fragrant chicken 40%,*** 6%,Lyophyllum decastes 3%and Lentinus edodes 1.5%;the ratio of liquid to material was 2.5:1,the boiling time was 2 h,and the boiling temperature was 120℃.Under these conditions,the sensory score of Small Fragrant Chicken Soup Stock was the best.[Conclusions]This study provided a theoretical basis for the industrial production of edible mushroom prepared dishes.

关键词： Edible fungi Instant heating type prepared dishes Processing technology

Model identification of photovoltaic power generation efficiency with hot spot

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Model identification of photovoltaic power generation effici...

第32届中国控制与决策会议

作者： shengxian Cao Ying Su Bo zhao Xianshuang Yao School of Automation Engineering Northeast Electric Power University

In this paper,a hot spot model identification method is proposed for detecting the influence of hot spots on power generation *** on the identification method,a guideline is given for the operation and maintenance of photovoltaic power *** the different strip hot spot areas,the experiment results show that that the strip hot spot area has an approximate exponential relationship with solar power generation efficiency.

关键词： Model identification Hot spot area Solar cells Power generation efficiency

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基于SWLSTM算法的超短期风向预测

中国电机工程学报 2019年第15期39卷 4459-4467页

作者：唐振浩赵赓楠曹生现赵波东北电力大学自动化工程学院

风向预测是提高风能转化率、保障偏航系统运行安全的基础。为了建立高精度风向预测算法,提出一种基于自校正小波长短时记忆网络(self-tuning wavelet long-short term memory neural network,SWLSTM)算法。首先,利用互信息法选取时间序... 详细信息

风向预测是提高风能转化率、保障偏航系统运行安全的基础。为了建立高精度风向预测算法,提出一种基于自校正小波长短时记忆网络(self-tuning wavelet long-short term memory neural network,SWLSTM)算法。首先,利用互信息法选取时间序列特征的长度;然后,经过小波分解进一步提取风向序列的时域信息和频域信息;在此基础上,选择长短时记忆递归神经网络(long-short term memory neural network,LSTM)进行建模;最后,设计误差自校正策略,进一步提升预测精度。为了验证该文算法的适应性与预测精度,选择风电场实际风向数据分别进行实验。实验结果表明,SWLSTM算法优于常见数据建模方法,风向预测误差小于1.73%,满足风电场的生产要求。

关键词：风向预测互信息法小波分解长短时记忆递归神经网络误差自校正

川东北地区晚埃迪卡拉纪灯影期海水氧化还原环境重建

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沉积学报 2023年第1期41卷 183-195页

作者：赵坤满玲贺然李松倬祝圣贤郎咸国成都理工大学沉积地质研究院成都610059 中国石油西南油气田公司勘探开发研究院成都610051

晚埃迪卡拉纪全球海洋发生了大面积的缺氧,海洋化学结构呈现明显的非均质性,直接影响了埃迪卡拉型生物的演化与分布。四川盆地发育完整的晚埃迪卡拉系地层,以灯影组巨厚层碳酸盐岩沉积为代表。但是对于该套巨厚层碳酸盐岩沉积时的古海... 详细信息

晚埃迪卡拉纪全球海洋发生了大面积的缺氧,海洋化学结构呈现明显的非均质性,直接影响了埃迪卡拉型生物的演化与分布。四川盆地发育完整的晚埃迪卡拉系地层,以灯影组巨厚层碳酸盐岩沉积为代表。但是对于该套巨厚层碳酸盐岩沉积时的古海水氧化还原性质备受争议。为了解决这一问题,对川东北地区鹿池剖面的灯影组地层开展了系统的沉积学和稀土元素地球化学分析。该地区灯影组的岩石类型主要为泥微晶白云岩、黏连白云岩、叠层/层纹白云岩,以及溶蚀白云岩,沉积环境为开阔碳酸盐岩台地相。地球化学数据结果显示灯影组碳酸盐岩普遍具有较低的稀土总量(∑REE+Y值为0.4~3.3μg/g)、较低的Mn/Sr值(0.2~2.8)和较高的Fe含量(55.9~1772.6μg/g)。灯影组的REE+Y配分曲线(经页岩标准化)可划分为四个阶段,且Ce异常指示该地区经历了弱氧化到弱还原再到缺氧状态,表明埃迪卡拉纪晚期海洋浅部水体也发生了缺氧现象。

关键词：灯影组白云岩海洋缺氧稀土元素四川盆地

基于网络药理学研究升陷汤合金水六君煎治疗矽肺的作用机制

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中华劳动卫生职业病杂志 2024年第7期42卷 487-497页

作者：汤旖雯张笑璇吴冰冰赵丽媛沈曦沈福海华北理工大学公共卫生学院河北省煤矿卫生与安全实验室河北省器官纤维化重点实验室唐山063210

目的运用网络药理学方法探讨升陷汤合金水六君煎的活性成分,对其治疗矽肺机制进行实验验证。方法于2023年5月,通过中药系统药理学数据库与分析平台(TCMSP)获取升陷汤合金水六君煎中药物有效成分和靶点,通过人类基因的综合数据库Genecard... 详细信息

目的运用网络药理学方法探讨升陷汤合金水六君煎的活性成分,对其治疗矽肺机制进行实验验证。方法于2023年5月,通过中药系统药理学数据库与分析平台(TCMSP)获取升陷汤合金水六君煎中药物有效成分和靶点,通过人类基因的综合数据库Genecards、疾病相关基因与突变位点数据库(DisGeNET)、比较毒物基因组学数据库(CTD)等筛选矽肺疾病靶点,将筛选的药物靶点和疾病靶点取交集,获取升陷汤合金水六君煎治疗矽肺的靶点集。通过STRING数据库对靶点集进行蛋白相互作用(PPI)网络分析,并筛选核心靶基因。基于Metascape数据库对交集基因进行GO富集分析和KEGG通路分析,并对升陷汤合金水六君煎关键作用成分与靶点进行分子对接验证。将24只SPF级成年雄性SD大鼠随机分为对照组、模型组、中药干预组,每组8只。采用1 ml二氧化硅混悬液(50 mg/ml)非气管暴露一次性制备染尘大鼠模型,中药干预组于第2天给予升陷汤合金水六君煎灌胃[6 g/(kg·d)]。观察染尘后28 d各组大鼠肺部CT情况,取大鼠肺组织制备石蜡切片并进行苏木素-伊红(HE)及马松(Masson)染色,蛋白免疫印迹(Western blot)法验证升陷汤合金水六君煎干预后28 d大鼠肺组织核心靶点相关蛋白表达,用单因素方差分析比较组间蛋白的表达差异。结果共筛选出升陷汤合金水六君煎中205个有效活性成分,活性化合物3345个,对应靶点281个,其中与矽肺相关靶点240个。丝氨酸/苏氨酸激酶1(AKT1)、肿瘤蛋白p53(TP53)、肿瘤坏死因子(TNF)、白细胞介素(IL)6可能是升陷汤合金水六君煎治疗矽肺的关键靶点。富集分析并根据P值筛选出30条GO条目和20个潜在信号通路,主要包括核因子κB(NF-κB)、丝裂原活化蛋白激酶(MAPK)和癌症等信号通路。分子对接得出升陷汤合金水六君煎活性化合物与核心靶点蛋白结合性较好,其中结合能最强的是β-谷甾醇和TNF-α(-10.45 kcal/mol)。在动物实验中,中药干预组大鼠肺组织炎性浸润及纤维化明显改善。与对照组比较,模型组大鼠肺组织TNF-α、IL-1β、IL-6、NF-κB水平均明显升高(P<0.05);与模型组比较,中药干预组大鼠肺组织损伤明显改善,TNF-α、IL-1β、IL-6、NF-κB表达均明显降低(P<0.05)。结论升陷汤合金水六君煎治疗矽肺可能通过抑制TNF-α、IL-1β等炎症因子介导的NF-κB信号转导通路发挥抗纤维化的作用,为进一步探讨其作用的物质基础及作用机制提供了参考。

关键词：矽肺升陷汤金水六君煎网络药理学分子对接大鼠肺纤维化

An Optimization Method Based on Adaptive Dynamic Programming for Cleaning Photovoltaic Panels

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An Optimization Method Based on Adaptive Dynamic Programming...

Development and Cleaning Cycle Optimization of Photovoltaic Module Cleaning Robot

第三十九届中国控制会议

作者： Siyuan Fan Xianshuang Yao shengxian Cao Bo zhao School of Automation Engineering Northeast Electric Power University

Photovoltaic（PV） power generation has become one of the major energy in all the world. If the dust accumulation of PV power station is not cleaned in time, the production cost will be increased in power station. This paper seeks to develop a optimization model of cleaning to inform economic operation decision for PV power station. By setting the goal of the maximum output power and the minimum economic loss, a optimization method based on Adaptive Dynamic Programming（ADP） is proposed. A new cleaning strategy is proposed in this paper, and the simulation results show the effectiveness of this method. Taking a 12 WM PV power station in western Jilin Province in China as an example, the total maintenance cost of cleaning every 17 days is the lowest.

关键词： Adaptive Dynamic Programming optimization method PV panels cleaning strategy

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Development and Cleaning Cycle Optimization of Photovoltaic ...

第40届中国控制会议

作者： Lilei Jiang Bo zhao shengxian Cao Siyuan Fan Tianyi Sun School of Automation Engineering Northeast Electric Power University

In order to achieve a highly automated and low-cost solution to replace regular manual cleaning and improve the economic benefits of distributed photovoltaic(PV) system,an intelligent operation and maintenance cleaning robot and cleaning cycle optimization method was developed in this *** three-dimensional model of the moving vehicle,cleaning roller and control system of the cleaning robot are *** then the cleaning cycle optimization model of dust on PV modules was built based on the developed cleaning *** test and optimization results showed that using the robot to clean PV modules with dust accumulation of4 g/m,6 g/m and 8 g/m,and the cleaning efficiency reached 92.14%,91.04%,and 90.09%,*** with manual cleaning,the optimal cleaning cycle was reduced from 48.3 days to 26.5 days,and the cleaning cost was reduced from 223200 yuan to 30600 yuan for 2 MW distributed PV *** cleaning cost is greatly reduced,while the cleaning frequency is increased,and the power generation is improved.

关键词： Photovoltaic modules dust accumulation cleaning robot cleaning cycle optimization cost cleaning efficiency

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融合多尺度特征的光场图像超分辨率方法

光电工程 2020年第12期47卷 54-64页

作者：赵圆圆施圣贤上海交通大学机械与动力工程学院上海200240

光场相机作为新一代的成像设备,能够同时捕获光线的空间位置和入射角度,然而其记录的光场存在空间分辨率和角度分辨率之间的制约关系,尤其子孔径图像有限的空间分辨率在一定程度上限制了光场相机的应用场景。因此本文提出了一种融合多... 详细信息

光场相机作为新一代的成像设备,能够同时捕获光线的空间位置和入射角度,然而其记录的光场存在空间分辨率和角度分辨率之间的制约关系,尤其子孔径图像有限的空间分辨率在一定程度上限制了光场相机的应用场景。因此本文提出了一种融合多尺度特征的光场图像超分辨网络,以获取更高空间分辨率的光场子孔径图像。该基于深度学习的网络框架分为三大模块:多尺度特征提取模块、全局特征融合模块和上采样模块。网络首先通过多尺度特征提取模块学习4D光场中固有的结构特征,然后采用融合模块对多尺度特征进行融合与增强,最后使用上采样模块实现对光场的超分辨率。在合成光场数据集和真实光场数据集上的实验结果表明,该方法在视觉评估和评价指标上均优于现有算法。另外本文将超分辨后的光场图像用于深度估计,实验结果展示出光场图像空间超分辨率能够增强深度估计结果的准确性。

关键词：超分辨光场深度学习多尺度特征提取特征融合