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Identification of microRNA-like RNAs in Ophiocordyceps sinensis

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Science China(life Sciences) 2019年第3期62卷 349-356页

作者： Wen Zhang xiaona li lina Ma Uzair Urrehman Xilinqiqige Bao Yujing Zhang Chen-Yu Zhang Dongxia Hou Zhen Zhou State Key Laboratory of Pharmaceutical Biotechnology Jiangsu Engineering Research Center for microRNA Biology and Biotechnology NJU Advanced Institute for Life Sciences (NAILS) School of Life Sciences Nanjing University The Drug Laboratory of Mongolian Medicine and Pharmacy Institute Inner Mongolia International Mongolian Hospital

Ophiocordyceps sinensis is well known as a traditional Chinese medicine and has widely been used for over 2,000 years to stimulate immune system, decrease blood pressure and to inhibit tumor growth. While miRNAs are increasingly recognized for their roles in post-transcriptional regulation of gene expression in animals and plants, miRNAs in fungi were less studied until the discovery of microRNA-like RNA(milRNA). High-throughput sequencing and bioinformatics approaches were used to identify conserved and novel milRNAs in O. sinensis. 40 conserved milRNAs were identified, while 23 pre-miRNA candidates encoding 31 novel milRNAs were predicted. Furthermore, the potential target genes of milRNAs in human were predicted and gene ontology analysis was applied to these genes. Enrichment analysis of GO-represented biological process showed that target genes of both conserved and novel milRNAs are involved in development, metabolic and immune processes, indicating the potential roles of milRNAs of O. sinensis in pharmacological effects as health food and traditional Chinese medicine. This study is the first report on genome-wide analysis of milRNAs in O. sinensis and it provides a useful resource to further study the potential roles of milRNAs as active components of O. sinensis in health food or traditional Chinese medicine.

关键词： Ophiocordyceps sinensis O.sinensis miRNA milRNA high-throughput sequencing

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电增强活性炭滤芯吸附去除水中微污染物

环境工程学报 2024年第2期18卷 387-397页

作者：蔡正军李晓娜张海光陈硕全燮大连理工大学环境学院大连116024

选取了10种市售活性炭滤芯并测试其相关理化性质,筛选出比表面积高、导电性好的滤芯用于电增强吸附二氯乙酸(DCAA)、左氧氟沙星(LVFX)和环丙沙星(CIP)3种典型饮用水中的微污染物。3种污染物的电增强吸附符合二级动力学模型,电增强活性... 详细信息

选取了10种市售活性炭滤芯并测试其相关理化性质,筛选出比表面积高、导电性好的滤芯用于电增强吸附二氯乙酸(DCAA)、左氧氟沙星(LVFX)和环丙沙星(CIP)3种典型饮用水中的微污染物。3种污染物的电增强吸附符合二级动力学模型,电增强活性炭滤芯吸附DCAA、LVFX和CIP的最佳初始吸附速率v0分别达到12.4 mg·(g·h)^(-1)(2 V)、45.3 mg·(g·h)^(-1)(-2 V)和93.1 mg·(g·h)^(-1)(-2 V),相比不加电情况下提高了1.2~1.7倍;3种污染物的电增强吸附等温线符合Langmuir模型,电辅助下DCAA、LVFX和CIP的最大吸附容量qm可达到26.3 mg·g^(-1)(2 V)、207.9 mg·g^(-1)(-2 V)和106.1 mg·g^(-1)(-2 V),相比于不加电时提升了1.2~3.2倍。在流动态吸附实验中,活性炭滤芯在电增强吸附下的出水的DCAA质量浓度比不加电时更低,出水水质更佳。电增强吸附下的处理水量达到1300床体积,比不加电条件下提升了2.2倍。以上研究结果表明活性炭滤芯的电增强吸附在饮用水深度处理中有着较好的应用前景。

关键词：活性炭滤芯电辅助吸附微污染物

财务柔性、研发投入对创新绩效的影响研究——基于新能源汽车产业链的实证

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吉林金融研究 2024年第4期 21-27页

作者：李昊童小娜青海民族大学经济与管理学院青海西宁810000

新能源汽车财政补贴自2016年开始逐步“退坡”,由此可能给企业带来的财务风险引发了企业管理层对财务柔性管理的愈发重视。企业的财务柔性主要体现在其现金持有量和剩余负债能力两个方面,通过储备财务柔性,使得企业可以灵活解决研发创... 详细信息

新能源汽车财政补贴自2016年开始逐步“退坡”,由此可能给企业带来的财务风险引发了企业管理层对财务柔性管理的愈发重视。企业的财务柔性主要体现在其现金持有量和剩余负债能力两个方面,通过储备财务柔性,使得企业可以灵活解决研发创新所需要的资金来源。文章选取2016—2022年间沪深A股103家新能源汽车产业链的上市公司为研究样本,构建财务柔性、研发投入和创新绩效三者的多元回归关系模型。探究新能源汽车企业是否可以通过财务柔性管理来促进研发创新。研究结果表明,企业运用财务柔性管理可以促进企业创新绩效,且研发投入在二者关系间起中介作用。本文将在理论上完善财务柔性在新能源汽车企业创新绩效方面的研究,并为企业合理利用财务柔性提升其研发创新能力提供理论补充。

关键词：财务柔性研发投入创新绩效

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环境污染物致非酒精性脂肪肝研究进展

生态毒理学报 2024年第3期19卷 158-168页

作者：杨阳李峻孔翠丽汝少国张晓娜中国海洋大学海洋生命学院青岛266003 山东省建设项目环境评审服务中心济南250012 青岛市生态环境局胶州分局青岛266300

非酒精性脂肪肝(non-alcoholic fatty liver disease,NAFLD)已成为目前全球患病人数最多的慢性肝病,除了遗传和高热量饮食等因素外,环境污染也是致NAFLD的重要因素。本文综述了NAFLD的发生机制,并从通过核受体通路影响肝脏脂质代谢、促... 详细信息

非酒精性脂肪肝(non-alcoholic fatty liver disease,NAFLD)已成为目前全球患病人数最多的慢性肝病,除了遗传和高热量饮食等因素外,环境污染也是致NAFLD的重要因素。本文综述了NAFLD的发生机制,并从通过核受体通路影响肝脏脂质代谢、促进线粒体功能障碍、诱导肝脏炎症等方面总结了环境污染物致NAFLD发生发展的作用机制,探讨了早期发育阶段环境污染暴露对增加机体患NAFLD风险的可能性,并展望了未来相关领域的研究方向,以期为环境污染致慢性肝病的分子机制和健康风险研究提供理论支撑与参考。

关键词：环境污染物非酒精性脂肪肝脂质代谢非酒精性脂肪性肝炎作用机制

Electrochemically enhanced adsorption of PFOA and PFOS on multiwalled carbon nanotubes in continuous flow mode

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Chinese Science Bulletin 2014年第23期59卷 2890-2897页

作者： Shuangyu Wang xiaona li Yaobin Zhang Xie Quan Shuo Chen Hongtao Yu Huimin Zhao Key Laboratory of Industrial Ecology and Environmental Engineering (MOE) School of Environmental Science and TechnologyDalian University of Technology

It is important to develop efficient technologies on removal of perfluorooctanoic acid(PFOA)and perfluorooctane sulfonate(PFOS)from water due to their wide distribution and potential threat to human health.In this work,a durable and convenient electrosorption device was designed in continuous flow mode to investigate the adsorption of PFOX(X=A and S)on multiwalled carbon nanotubes(MWNTs)from water under electrochemical assistance.The electrosorption experiments were conducted under different influent and electrolyte concentrations,hydraulic retention time(HRT)and electrode distance to optimize the operation.The results showed that the highest removal efficiencies toward both PFOA and PFOS could come up to 90%at 1 V.Compared with open circuit(OC)adsorption under the same conditions,the removal efficiencies were improved by 4.9 times(PFOA)and 4.2 times(PFOS)respectively.In addition,the MWNTs electrode was found to be reusable.These findings provide an efficient method to remove PFOX from water by electrosorption in continuous flow mode.

关键词：多壁碳纳米管电化学吸附 PFOS PFOA 水力停留时间流模式碳纳米管电极电解质浓度

基于土地利用/覆被的滇池流域生境质量时空演变

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生态学杂志 2024年第3期43卷 842-850页

作者：杨菡李晓娜邓忠坚张卓亚潘慧萍西南林业大学地理与生态旅游学院昆明650224 西南林业大学云南生物多样性研究院昆明650224

滇池是我国西南地区最大的高原淡水湖泊,也是云南省面积最大的淡水湖。研究滇池流域土地利用/覆被类型与生境质量的时空演变特征,对流域生态环境保护具有重要意义。本文基于1988—2018年土地利用/覆被数据,将InVEST模型与GIS空间分析工... 详细信息

滇池是我国西南地区最大的高原淡水湖泊,也是云南省面积最大的淡水湖。研究滇池流域土地利用/覆被类型与生境质量的时空演变特征,对流域生态环境保护具有重要意义。本文基于1988—2018年土地利用/覆被数据,将InVEST模型与GIS空间分析工具相结合,分析滇池流域生境时空变化,并利用莫兰指数和热点分析量化生境质量的空间集聚及演化特征。结果表明:(1)1988—2018年滇池流域土地利用/覆被类型变化剧烈,由1988年的农田占优势转变为2018年城镇用地占优势;(2)流域生境质量总体呈下降趋势,环滇池的城市区域生境质量较低,流域周边山地与丘陵质量较高但分布分散;(3)生境“冷热点”呈集聚分布,“热点”地区主要位于周边林地,随时间变化其范围逐渐缩小,而“冷点”地区位于环滇池城市区域,随时间变化而大幅增加。本研究表明,城市化过程中土地利用/覆被的剧烈变化是引起城市生境发生变化的主要原因,研究结果可为滇池流域土地利用类型优化以及提升或维持生物多样性提供参考依据。

关键词：生境质量土地利用/覆被变化 InVEST模型滇池流域

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基于无人机影像的农业景观非农生境信息提取

生态学杂志 2024年第2期43卷 587-599页

作者：张微微王超丁喜莲李晓娜邹俊亮北京市农林科学院草业花卉与景观生态研究所北京100097 山东省地质科学研究院济南250013

农业景观非农生境的精准识别对于打造高异质性农业景观,促进农作物增产与维持农田生物多样性具有重要意义。本研究基于无人机可见光影像构建了改进型绿蓝植被指数(MGBVI),并运用MGBVI和常见的7种可见光植被指数开展农业景观非农生境信... 详细信息

农业景观非农生境的精准识别对于打造高异质性农业景观,促进农作物增产与维持农田生物多样性具有重要意义。本研究基于无人机可见光影像构建了改进型绿蓝植被指数(MGBVI),并运用MGBVI和常见的7种可见光植被指数开展农业景观非农生境信息提取试验,对精度较高的前3种植被指数在非农生境组成有差异的2处农业景观区进行适用性验证。结果表明,MGBVI、归一化绿蓝差异指数(NGBDI)和绿蓝比指数(GBRI)提取非农生境的效果优于其他5种指数,其总体精度分别为95.08%、94.50%和94.46%,在区分非农生境和萌芽出苗期农田方面更有优势,尤其MGBVI能够精准识别非农生境中植被覆盖相对稀疏的田块边界。这3种指数在验证区的分类总体精度均高于94%,其提取结果受非农生境组成差异影响的波动较小,验证了MGBVI等绿蓝通道指数在无人机影像提取农业景观非农生境中具有较好的可用性和稳定性。本研究可为复杂小地理区域农业景观非农生境的遥感识别与动态监测提供技术参考。

关键词：非农生境农业景观植被指数可见光影像无人机

Classification of human movements with and without spinal orthosis based on surface electromyogram signals

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Medicine in Novel Technology and Devices 2022年第4期16卷 141-149页

作者： Chenyan Wang xiaona li Yuan Guo Ruixuan Zhang Weiyi Chen College of Biomedical Engineering Taiyuan University of TechnologyTaiyuanChina

Spinal orthoses were designed to correct poor posture;however,they may restrict trunk movements at all times,making daily activities difficult.Detecting trunk movements can provide instructions for adjusting the stiffness of the spinal orthosis.This study evaluated the feasibility of identifying movements based on surface electromyography(sEMG)signals.Ten participants were tested for different movements with two different modalities:motion without the spinal orthosis(Normal)and with the spinal orthosis(Spinal orthosis).The sEMG signals were collected from eight muscles using surface electrodes during four movements[flexion-extension,lateral bending,axial rotation,and stand to sit to stand].Four time domain features were extracted,with a total of 32 feature vectors.The principal component analysis(PCA)method was adopted to feature selection,and it was found that eight feature dimensions can make cumulative explained variance exceed 95%.The results showed that machine learning algorithms could not only identify Normal and Spinal orthosis movement modalities,but also distinguish four daily movements.Moreover,the classification performance of Random Forest(RF),k-Nearest Neighbor(kNN),and Support Vector Machine(SVM)algorithms were also compared.The results showed that all three machine algorithms have high classification accuracy.The machine learning methods can accurately identify movement patterns by considering sEMG signals,which may provide instructions for adjusting the stiffness of the spinal orthosis.In the future,the spinal orthosis with adjustable stiffness controlled by sEMG signals could help correct poor posture,and permit the wearer to achieve free movement when needed.

关键词： Surface electromyogram Machine learning Spinal orthosis Trunk movements Classification

Analysis of the interest rate marketization risk of local banks in Henan Province --Taking four joint stock commercial banks as an example

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International Journal of Technology Management 2017年第5期 66-68页

作者： xiaona li Xinyang University Xinyang Henan 464000