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Food-Borne Poisoning Accident from Amanitin Toxin in Wild Mushrooms—Xingtai City,Hebei Province,China,2023

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China CDC weekly 2024年第3期6卷 56-59页

作者： Baopu Lv Liang Liu Hao Xiao Qingbing Meng Rui Zhang Yaqing An Yingli Jin Yu Ma Hengbo Gao Yongkai Li Qian He Yutao Zhang Changqing Liu Xiaoyan Luo xiaomin xu Fenshuang Zheng Yingping Tian Hongshun Zhang Dongqi Yao Emergency Department The Second Hospital of Hebei Medical UniversityShijiazhuang CityHebei ProvinceChina National Institute of Occupational Health and Poison Control Chinese Centre for Disease Control and PreventionBeijingChina Hebei Provincial Center for Disease Control and Prevention Shijiazhuang CityHebei ProvinceChina Zhejiang Provincial Center for Disease Control and Prevention Hangzhou CityZhejiang ProvinceChina Emergency Department The Affiliated Hospital of Yunnan UniversityKunming CityYunnan ProvinceChina

What is already known about this topic?Fatal poisonings caused by wild mushrooms containing amanita toxins pose a significant threat in the southern regions of China.These toxins primarily induce gastrointestinal symptoms initially,which are then followed by potentially life-threatening acute liver damage.What is added by this report?This report contributes to the existing knowledge on these cases of poisoning by documenting the second occurrences in Hebei Province and the first occurrences in Xingtai City.Five individuals reported consuming wild mushrooms from the same origin,and laboratory tests confirmed the presence ofα-amanitin in their blood samples.What are the implications for public health practice?This underscores the risk associated with the collection and consumption of amanita toxin-containing mushrooms in Hebei.It is important to note that the identification of toxic and non-toxic mushrooms should not solely rely on personal experience or appearance.

关键词： Hebei consuming initially

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分布式布里渊光纤传感信号降噪技术研究进展

激光与光电子学进展 2024年

作者：高浩然李拥政郭林峰 xiaomin xu 南京信息工程大学物理与光电工程学院江苏省大气海洋光电探测重点实验室中铁三局集团华东建设有限公司江苏省气象光子学与光电探测国际合作联合实验室剑桥大学工程系

分布式布里渊光纤传感技术在基础设施、轨道交通、海底光缆等领域的工程监测中逐步应用。布里渊解调系统光电信号的衰减与噪声影响导致长距离传感信噪比下降，限制了测量精度。研究者通过光脉冲编码、拉曼放大等方法提升信噪比，取得较... 详细信息

分布式布里渊光纤传感技术在基础设施、轨道交通、海底光缆等领域的工程监测中逐步应用。布里渊解调系统光电信号的衰减与噪声影响导致长距离传感信噪比下降，限制了测量精度。研究者通过光脉冲编码、拉曼放大等方法提升信噪比，取得较好的效果，也增加了系统复杂度和设备成本。通过后端信号处理的方式提升系统性能，可降低硬件成本且易于迭代升级。本文回顾了近十年国内外布里渊光纤传感系统使用信号处理方式提高信噪比的方法，包括一维信号降噪、图像视频降噪和深度学习降噪技术，对这些技术进行了讨论分析，并对每种技术对系统性能的提升效果进行了对比，最后对分布式布里渊光纤传感技术信噪比提升技术发展前景进行了展望。

关键词：分布式光纤传感技术布里渊散射信噪比信号处理图像处理机器学习

机器学习技术在分布式光纤传感性能提升中的应用进展

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激光与光电子学进展 2024年

作者：马丁忆刘鑫煜李拥政郭林峰 xiaomin xu 南京信息工程大学物理与光电工程学院江苏省大气海洋光电探测重点实验室中铁三局集团华东建设有限公司江苏省气象光子学与光电探测国际合作联合实验室剑桥大学工程系

分布式光纤传感技术通过解调光纤中散射光的改变来探测系统温度、应变、振动等参数，实现分布式测量。由于散射光信号较弱，会导致系统信噪比低，传感性能受限，近年来，通过机器学习的方法来提升分布式光纤传感系统的性能逐步成为研究... 详细信息

分布式光纤传感技术通过解调光纤中散射光的改变来探测系统温度、应变、振动等参数，实现分布式测量。由于散射光信号较弱，会导致系统信噪比低，传感性能受限，近年来，通过机器学习的方法来提升分布式光纤传感系统的性能逐步成为研究热点。本文从数据提取、噪声去除、分辨率增强等方面，详细介绍了近十年来机器学习技术在分布式光纤传感研发领域的研究进展，并进行了分析对比与技术展望。各类机器学习算法技术在处理速度方面表现出不同程度的提升。其中，去噪神经网络在提高信噪比方面较为显著，表现出优越的噪声抑制能力，信号质量得到进一步改善。此外，卷积神经网络在提升空间分辨率方面具有突出的优势，能够更精确地捕捉和解析复杂的空间特征。这些相关研究成果有望进一步推动后续机器学习技术在各类型分布式光纤传感技术上的深入应用。

关键词：分布式光纤传感机器学习神经网络信噪比空间分辨率

Electrochemical Water Splitting:Bridging the Gaps Between Fundamental Research and Industrial Applications

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Energy & Environmental Materials 2023年第5期6卷 22-42页

作者： Hainan Sun xiaomin xu Hyunseung Kim WooChul Jung Wei Zhou Zongping Shao Department of Materials Science and Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Korea WA School of Mines:Minerals Energy and Chemical Engineering(WASM-MECE) Curtin UniversityPerthWestern Australia 6102Australia State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical EngineeringNanjing Tech UniversityNanjing 211816China

Electrochemical water splitting represents one of the most promising technologies to produce green hydrogen,which can help to realize the goal of achieving carbon neutrality.While substantial efforts on a laboratory scale have been made for understanding fundamental catalysis and developing high-performance electrocatalysts for the two half-reactions involved in water electrocatalysis,much less attention has been paid to doing relevant research on a larger scale.For example,few such researches have been done on an industrial scale.Herein,we review the very recent endeavors to bridge the gaps between fundamental research and industrial applications for water electrolysis.We begin by introducing the fundamentals of electrochemical water splitting and then present comparisons of testing protocol,figure of merit,catalyst of interest,and manufacturing cost for laboratory and industry-based water-electrolysis research.Special attention is paid to tracking the surface reconstruction process and identifying real catalytic species under different testing conditions,which highlight the significant distinctions of corresponding electrochemical reconstruction mechanisms.Advances in catalyst designs for industry-relevant water electrolysis are also summarized,which reveal the progress of moving the practical applications forward and accelerating synergies between material science and engineering.Perspectives and challenges of electrocatalyst design strategies are proposed finally to further bridge the gaps between lab-scale research and large-scale electrocatalysis applications.

关键词： electrocatalyst design electrochemical water splitting gaps and bridges laboratory scale and industrial scale

Clinical characteristics and risk factors of hepatitis B virus-related cirrhosis/hepatocellular carcinoma:A single-center retrospective study

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Liver Research 2023年第3期7卷 237-243页

作者： Feng Chen Qianhui Li xiaomin xu Fei Wang Division of Gastroenterology The Seventh Affiliated Hospital of Sun Yat-sen UniversityShenzhenGuangdongChina National Clinical Research Center for Infectious Diseases The Third People's Hospital of ShenzhenShenzhenGuangdongChina

Background and aims:Hepatitis B virus(HBV)infection is a major global health problem which progresses to liver cirrhosis(LC)and hepatocellular carcinoma(HCC).Early prediction of disease changes and intervention are essential to slow disease progression and protect liver function.This study aimed to analyze the clinical characteristics of patients with HBV-related LC and HCC at different serum alanine aminotransferase(ALT)levels and explore the risk factors of HBV infection progressing to LC/HCC.Methods:A total of 379 patients with HBV infection treated in The Third People's Hospital of Shenzhen between January 2014 and December 2016 without any antiviral drug therapy were enrolled.Patients were divided into the LC/HCC and non-LC/HCC groups based on clinical diagnosis,which was determined through imaging and expressions of pathological and laboratory test markers,and patients with LC/HCC were further divided into three groups according to the serum ALT levels.Differences in general information,clinical symptoms,and expression levels of serological indices of the above groups were compared and analyzed,logistic regression was used to analyze the risk factors for LC/HCC development,and the clinical diagnostic efficacy of indicators was judged by the receiver operator characteristic(ROC).Results:LC/HCC mainly occurred in the ALT normal and mildly elevated groups,with 70.83% of patients with HCC having an LC background.In the comparison of different ALT level groups,the moderately eseverely elevated group had the highest proportion of patients with skin jaundice,abdominal varices,rebound tenderness,higher white blood cell and neutrophil(NEUT)counts;and higher levels of aspartate aminotransferase,glutamyl transpeptidase,total bilirubin,and direct bilirubin.The LC/HCC group was older and had significantly higher proportions of male patients,alcohol consumption,and combined hypertension than the non-LC/HCC group(all P<0.05).Logistic regression analysis showed that age,combined hypertension,abdominal varicose veins,subcos

关键词： Alanine aminotransferase(ALT) Hepatitis B virus(HBV) Liver cirrhosis(LC) Hepatocellular carcinoma(HCC) Risk factors

Deep Learning Network for Energy Storage Scheduling in Power Market Environment Short-Term Load Forecasting Model

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Energy Engineering 2022年第5期119卷 1829-1841页

作者： Yunlei Zhang RuifengCao Danhuang Dong Sha Peng RuoyunDu xiaomin xu State Grid Zhejiang Electric Power Co. Ltd.Hangzhou310007China Strategy and Development Research Center Economic and Technical Research InstituteState Grid Zhejiang Electric Power Co.Hangzhou310000China Beijing Key Laboratory of New Energy Power and Low Carbon Development Research North China University of Electric PowerBeijing102206China

In the electricity market,fluctuations in real-time prices are unstable,and changes in short-term load are determined by many factors.By studying the timing of charging and discharging,as well as the economic benefits of energy storage in the process of participating in the power market,this paper takes energy storage scheduling as merely one factor affecting short-term power load,which affects short-term load time series along with time-of-use price,holidays,and temperature.A deep learning network is used to predict the short-term load,a convolutional neural network(CNN)is used to extract the features,and a long short-term memory(LSTM)network is used to learn the temporal characteristics of the load value,which can effectively improve prediction accuracy.Taking the load data of a certain region as an example,the CNN-LSTM prediction model is compared with the single LSTM prediction model.The experimental results show that the CNN-LSTM deep learning network with the participation of energy storage in dispatching can have high prediction accuracy for short-term power load forecasting.

关键词： Energy storage scheduling short-term load forecasting deep learning network convolutional neural network CNN long and short term memory network LTSM

Glucose-responsive erythrocyte-bound nanoparticles for continuously modulated insulin release

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Nano Research 2022年第6期15卷 5205-5215页

作者： xiaomin xu Yani xu Yuai Li Min Li Leilei Wang Qiang Zhang Bingjie Zhou Qing Lin Tao Gong xun Sun Zhirong Zhang Ling Zhang Key laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry West China School of PharmacySichuan UniversityChengdu 610041China Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology College of Polymer Science and EngineeringSichuan UniversityChengdu 610065China

Glucose-responsive closed-loop insulin delivery systems represent a promising treatment strategy for diabetes,but current systems generally cannot achieve long-term effects.In this study,we designed an erythrocyte-biomimetic glucose-responsive system(EGRS)by coupling glucose-responsive nanoparticles(GRNs)to red blood cells;these nanoparticles exhibited the dual functions of glucose-responsiveness and persistent presence in circulation.GRNs are generated by encapsulating with insulin through ion crosslinking,followed by coloading with glucose oxidase(GOx)and catalase(CAT),a process that endows the nanoparticles with glucose-responsiveness.Simultaneously,the GRNs are coupled with red blood cells to camouflage them from the immune system,therefore,these erythrocyte-coupled GRNs can circulate in the blood for a long time.Under conditions of hyperglycemia,GOx acts on blood glucose to produce gluconic acid,which causes the rupture of GRNs and efficient release of insulin.Conversely,insulin is only released at the basic rate during hypoglycemia.Thus,EGRS can efficiently and continuously respond to hyperglycemia to maintain blood glucose levels within the normal range.

关键词： glucose-responsive erythrocyte-biomimetic insulin release blood glucose control diabetes

Research on Factors Affecting Boiler Feedwater Quality and Its Improvement

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Open Journal of Applied Sciences 2022年第6期12卷 901-911页

作者： Hongmei Pan xiaomin xu Business School Shanghai Dianji University Shanghai China

Nowadays, with the rapid progress and development of the Chinese society, people’s material level has been continuously improved, and the demand for electricity has also been increasing year by year. For thermal power plants, it is of great importance to strictly control the feedwater quality and to conduct real-time tracking and supervision, as well as to ensure the safety of the production process. In this paper, we take the boiler feedwater quality in the production process as the research object. First of all, the cause-and-effect diagram is used to find out the reasons for the deviation of feedwater quality;Secondly, each index of feedwater is analyzed by multiple linear regression method to find out the key variables affecting the change of its pH value, so as to develop and implement improvement measures;Finally, the pH value is compared and verified by control chart and process capability analysis, and relevant improvement suggestions and countermeasures are proposed.

关键词： Water Quality Multiple Linear Regression Control Chart Process Capability Analysis

黄河流域环境风险因素的时空演变及影响因素分析

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中国安全科学学报 2024年第3期34卷 206-215页

作者：徐孝民李伟黄胜忠中国矿业大学(北京)管理学院北京100083

为深入推进黄河流域环境风险防治,实现黄河流域高质量发展,利用大气污染、水污染、碳排放表征黄河流域环境风险因素,采用空间核密度方法构建核函数进行密度平滑处理,分析环境风险因素空间集聚态势及演化特征;采用考虑空间依赖性的空间... 详细信息

为深入推进黄河流域环境风险防治,实现黄河流域高质量发展,利用大气污染、水污染、碳排放表征黄河流域环境风险因素,采用空间核密度方法构建核函数进行密度平滑处理,分析环境风险因素空间集聚态势及演化特征;采用考虑空间依赖性的空间自回归模型剖析多维因素对环境风险因素的影响。结果表明:大气污染、水污染、碳排放主要集中在黄河流域中下游城市,环境风险防治区域明显;产业结构优化升级及企业绿色技术创新可降低环境风险因素,但节能环保支出不合理会导致环境风险因素升高;经济水平和人口密度与风险因素之间存在倒U型曲线关系。从长远发展战略看,应该以区域协同治理、减污降碳协同治理为战略主导,加强中下游城市协作,优化产业结构,加大行业技术创新投入,实现经济发展模式转型。

关键词：黄河流域环境风险因素时空演变影响因素大气污染水污染碳排放