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Bimetallic composite carbon fiber with persulfate mediation for intercepting volatile organic compounds during solar interfacial evaporation
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作者 yuling ma Dongqing Liu +4 位作者 Tao Zhang Chengjie Song Dongmei Liu Peizhi Wang Wei Wang 《Chinese Chemical Letters》 2025年第3期151-155,共5页
Solar interfacial evaporation(SIE),is currently one of the most potential water supply technologies in the remote,insular,and disaster-stricken areas.However,the existence of volatile organic compounds(VOCs)in water d... Solar interfacial evaporation(SIE),is currently one of the most potential water supply technologies in the remote,insular,and disaster-stricken areas.However,the existence of volatile organic compounds(VOCs)in water deteriorates the distillate quality,threatening human health.Herein,we constructed a carbonbased bimetallic(C/FeCo)photothermal membrane by electrospinning technique.Results illustrated that the membrane can catalytically degrade VOCs during SIE with persulfate(PDS)mediation.PDS,as well as phenol,was mainly reacted on the interface of the photothermal membrane instead of in the bulk solution.The interception efficiency of phenol achieved nearly 100%using the C/FeCo membrane during SIE.Hydroxyl radical(•OH),sulfate radical(SO_(4)•−),superoxide radical(O_(2)•−),and singlet oxygen(^(1)O_(2))were identified as the main active substances to degrade VOCs.We also conducted SIE experiments using actual river water to evaluate the practical performance of the C/FeCo membrane.This work holds the promise of VOCs interception during SIE and enlarges the application of solar distillation in water/wastewater treatment. 展开更多
关键词 Solar distillation Interfacial evaporation Volatile organic compounds Bimetallic composite carbon fiber Persulfate mediation
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iTRAQ-based proteomics reveals the mechanism of action of Yinlai decoction in treating pneumonia in mice consuming a high-calorie diet
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作者 Qianqian Li Tiegang Liu +7 位作者 Chen Bai Xueyan ma Hui Liu Zi’an Zheng Yuxiang Wan He Yu yuling ma Xiaohong Gu 《Journal of Traditional Chinese Medical Sciences》 CAS 2024年第1期21-32,共12页
Objective:To uncover the underlying mechanisms of action of the Yinlai decoction on high-calorie dietinduced pneumonia through proteomics analysis.Methods:Based on the Gene Expression Omnibus(GEO)database,lung tissue ... Objective:To uncover the underlying mechanisms of action of the Yinlai decoction on high-calorie dietinduced pneumonia through proteomics analysis.Methods:Based on the Gene Expression Omnibus(GEO)database,lung tissue samples from normal and high-fat diet(HFD)fed mice in the GSE16377 dataset were selected as test cohorts to identify differentially expressed genes and conduct bioinformatics analyses.In the animal experiments,mice were randomly divided into the control(N),high-calorie diet pneumonia(M),and Yinlai decoction treatment(Y)groups.Mice in the M group received high-calorie feed and a 0.5 mg/mL lipopolysaccharide solution spray for 30 min for 3 d.The mice in the Y group were intragastrically administered 2 mL/10 g Yinlai decoction twice daily for 3 d.Pathological evaluation of the lung tissue was performed.Differentially expressed proteins(DEPs)in the lung tissue were identified using quantitative proteomics and bioinformatics analyses.The drug-target relationships between Yinlai decoction and core DEPs in the lung tissue were verified using AutoDock Vina and Molecular Graphics Laboratory(MGL)Tools.DEPs were verified by western blot.Results:GEO data mining showed that an HFD altered oxidative phosphorylation in mouse lung tissue.The Yinlai decoction alleviated pathological damage to lung tissue and pneumonia in mice that were fed a high-calorie diet.A total of 47 DEPs were identified between the Y and M groups.Enrichment analysis revealed their association with energy metabolism pathways such as the tricarboxylic acid cycle(TCA)and oxidative phosphorylation.The protein-protein interaction network revealed that Atp5a1,Pdha1,and Sdha were the target proteins mediating the therapeutic effects of Yinlai decoction.Molecular docking results suggested that the mechanism of the therapeutic effect of Yinlai decoction involves the binding of brassinolide,praeruptorin B,chrysoeriol,and other components in Yinlai decoction to Atp5a1.Conclusion:The Yinlai decoction alleviated lung tissue damage and pneumonia in mice that were fed a high-calorie diet by regulating the TCA and oxidative phosphorylation.Our study highlights the importance of a healthy diet for patients with pneumonia and provides a scientific basis for the prevention and treatment of pneumonia through dietary adjustments. 展开更多
关键词 Yinlai decoction High-calorie diet PNEUMONIA iTRAQ proteomics Energy metabolism
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基于多尺度注意力融合的知识追踪方法 被引量:7
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作者 段建设 崔超然 +3 位作者 宋广乐 马乐乐 马玉玲 尹义龙 《南京大学学报(自然科学版)》 CAS CSCD 北大核心 2021年第4期591-598,共8页
互联网的普及使线上教育迅速发展,在缓解教育资源不均衡问题的同时,也为科研人员提供了大量的研究数据.教育数据挖掘是一个新兴学科,通过分析海量数据来理解学生的学习行为,为学生提供个性化学习建议.知识追踪是教育数据挖掘中的重要任... 互联网的普及使线上教育迅速发展,在缓解教育资源不均衡问题的同时,也为科研人员提供了大量的研究数据.教育数据挖掘是一个新兴学科,通过分析海量数据来理解学生的学习行为,为学生提供个性化学习建议.知识追踪是教育数据挖掘中的重要任务,其利用学生的历史答题序列预测学生下一次的答题表现.已有的知识追踪模型没有区分历史序列中的长期交互信息和短期交互信息,忽略了不同时间尺度的序列信息对未来预测的不同影响.针对该问题,提出一种基于多尺度注意力融合的知识追踪模型,使用时间卷积网络捕获历史交互序列的不同时间尺度信息,并基于注意力机制进行多尺度信息融合.针对不同学生及答题序列,该模型能自适应地确定不同时间尺度信息的重要性.实验结果表明,提出模型的性能优于已有的知识追踪模型. 展开更多
关键词 知识追踪 时间卷积神经网络 多尺度融合 注意力机制 深度学习
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新冠病毒肺炎临床试验核心指标集 被引量:12
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作者 金鑫瑶 庞博 +32 位作者 张俊华 刘清泉 杨忠奇 封继宏 刘学政 张磊 王保和 黄宇虹 Alice Josephine Fauci 马玉玲 Myeong Soo Lee 元唯安 谢雁鸣 唐健元 高蕊 杜亮 张硕 祁寒梅 孙宇 郑文科 杨丰文 蔡慧姿 王可仪 欧益 黄明 朱彦 喻佳洁 田金徽 赵敏 胡镜清 姚晨 李幼平 张伯礼 《Engineering》 SCIE EI 2020年第10期1294-1300,共7页
自2019年12月新型冠状病毒肺炎(Coronavirus Disease 2019, COVID-19)暴发以来,已有大量相关临床研究完成注册或已启动。然而,不同研究间临床结局指标存在显著的异质性,同时一些不关键的指标会造成研究资源的浪费。本研究旨在构建COVID... 自2019年12月新型冠状病毒肺炎(Coronavirus Disease 2019, COVID-19)暴发以来,已有大量相关临床研究完成注册或已启动。然而,不同研究间临床结局指标存在显著的异质性,同时一些不关键的指标会造成研究资源的浪费。本研究旨在构建COVID-19临床试验核心结局指标集(core outcome set, COS),为相关临床研究方案设计、开展和证据转化提供参考。本研究的实施参照《有效性试验核心结局指标(COMET)手册》(1.0版),研究组成员包括呼吸系统和危重医学、中医学、循证医学、临床药理学、统计学专家以及医学杂志编辑等。通过检索临床试验注册网站(chictr.org.cn和clinicaltrials.gov)中COVID-19相关临床研究方案,提取方案中的结局指标,形成指标池。78个COVID-19临床试验方案纳入研究,收集结局指标259个,合并规范后确定132个结局指标,涉及7个指标域。经遴选,形成了包括58个结局指标在内的初始指标清单。经过两轮德尔菲调查和一轮共识会议,最终确立针对COVID-19不同临床分型的核心指标集(COS-COVID)。COS-COVID包括1个轻型指标(病毒核酸检测转阴时间)、4个普通型指标(住院时间、复合事件发生率、临床症状积分和病毒核酸检测转阴时间)、5个重型指标(复合事件发生率、住院时间、PaO2/FiO2、机械通气时间和病毒核酸检测转阴时间)、1个危重型指标(全因死亡率)及1个康复期指标(肺功能)。COS-COVID作为目前临床评价COVID-19干预效果最具临床价值及操作性的指标集合,对证据评估和决策具有重要意义。随着对疾病认知的不断深入和COS-COVID应用的反馈,课题组将对本核心指标集进行进一步完善并更新。 展开更多
关键词 核心指标集 COVID-19 2019-nCoV 冠状病毒疾病 临床试验
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Effect of Yinlai Decoction on the metabolic pathways in the lung of high-calorie diet-induced pneumonia rats 被引量:1
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作者 Fuyang Xian Tiegang Liu +11 位作者 Chen Bai Guannan Yang Xueyan ma Bochuan Wang Ling Huang Shaoyang Liu Jianhua Zhen Jianzhen He He Yu yuling ma Taiyi Wang Xiaohong Gu 《Journal of Traditional Chinese Medical Sciences》 2021年第1期4-16,共13页
Objective:To search for specific metabolites in the lungs of pneumonia rats fed with a high-calorie diet,as well as explore the changes in the lung metabolites of young rats treated with Yinlai Decoction(YD)and its ef... Objective:To search for specific metabolites in the lungs of pneumonia rats fed with a high-calorie diet,as well as explore the changes in the lung metabolites of young rats treated with Yinlai Decoction(YD)and its effects on inflammation-related metabolic pathways.Methods:Lipopolysaccharides(LPS)and a special high-calorie diet were used to induce Sprague Dawley(SD)rats to simulate the intestinal state of infant pneumonia.Liquid chromatography-mass spectrometry technology(LC-MS/MS)was used to detect metabolites in each group.Supervised orthogonal partial least squares discriminant analysis(OPLS-DA)model values were used for the detection results to find the differential metabolites.The metabolic pathways that are involved with the differential metabolites were clarified through enrichment analysis and topological analysis.Finally,the T cell receptor signaling pathway(TCR)signal conversion was analyzed by the network pharmacology method.Results:In the high-calorie diet combined with pneumonia group(M3),a total of 55 metabolites were determined to be different from the normal group(N).A total of 36 metabolites were determined to be different from those in the lung metabolites of the YD treatment group(T1).YD had a regulatory effect on glutathione metabolism,arginine and proline metabolism,ascorbic acid and aldehyde metabolism and phenylalanine metabolism.And the small molecule metabolites could act on the FYN and lymphocytespecific protein tyrosine kinase(LCK)target proteins in the TCR signaling pathway,thereby affecting the immune function of the lungs.Conclusion:A high-calorie diet can cause abnormal sphingolipid metabolism in the lungs of young rats,thereby creating chronic lung inflammation in young rats.YD has a beneficial effect when used to treat young rats with LPS-induced pneumonia fed on high-calorie diets.Its mechanisms of action may affect the body’s immune pathways by regulating the oxidative stress pathway affected by glutathione metabolism. 展开更多
关键词 High-calorie diet PNEUMONIA Yinlai decoction Metabolomics Network pharmacology
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Multi-task MIML learning for pre-course student performance prediction 被引量:1
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作者 yuling ma Chaoran Cui +3 位作者 Jun Yu Jie Guo Gongping Yang Yilong Yin 《Frontiers of Computer Science》 SCIE EI CSCD 2020年第5期113-121,共9页
In higher education,the initial studying period of each course plays a crucial role for students,and seriously influences the subsequent learning activities.However,given the large size of a course’s students at univ... In higher education,the initial studying period of each course plays a crucial role for students,and seriously influences the subsequent learning activities.However,given the large size of a course’s students at universities,it has become impossible for teachers to keep track of the performance of individual students.In this circumstance,an academic early warning system is desirable,which automatically detects students with difficulties in learning(i.e.,at-risk students)prior to a course starting.However,previous studies are not well suited to this purpose for two reasons:1)they have mainly concentrated on e-learning platforms,e.g.,massive open online courses(MOOCs),and relied on the data about students’online activities,which is hardly accessed in traditional teaching scenarios;and 2)they have only made performance prediction when a course is in progress or even close to the end.In this paper,for traditional classroom-teaching scenarios,we investigate the task of pre-course student performance prediction,which refers to detecting at-risk students for each course before its commencement.To better represent a student sample and utilize the correlations among courses,we cast the problem as a multi-instance multi-label(MIML)problem.Besides,given the problem of data scarcity,we propose a novel multi-task learning method,i.e.,MIML-Circle,to predict the performance of students from different specialties in a unified framework.Extensive experiments are conducted on five real-world datasets,and the results demonstrate the superiority of our approach over the state-of-the-art methods. 展开更多
关键词 educational data mining academic early warning system student performance prediction multi-instance multi-label learning multi-task learning
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面向标签噪声的联合训练框架 被引量:1
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作者 魏琦 孙皓亮 +1 位作者 马玉玲 尹义龙 《中国科学:信息科学》 CSCD 北大核心 2024年第1期144-158,共15页
当前面向标签噪声的鲁棒性学习通常依赖样本选择和标签修正两种策略,但是这两类方法均存在缺陷.基于样本选择的方法忽略了被过滤掉的样本中的有效信息,进而降低了模型的性能.基于标签修正的方法常使用自标签技术而引起模型的错误积累问... 当前面向标签噪声的鲁棒性学习通常依赖样本选择和标签修正两种策略,但是这两类方法均存在缺陷.基于样本选择的方法忽略了被过滤掉的样本中的有效信息,进而降低了模型的性能.基于标签修正的方法常使用自标签技术而引起模型的错误积累问题.对此,本文提出了一个集成样本选择、标签修正的联合训练框架.针对样本选择模块,本文设计了一种新的选择标准,通过在线选择的方法对所挑选的样本集合进行更新.相较于现有选择标准,本文提出的标准可保留更多边界样本,提升了模型对决策边界的学习性能,增强了模型的泛化性能.针对标签修正模块,本文提出了一种联合标签修正策略.相比于传统的自标签修正技术,该模块通过联合特征空间视角,对噪声样本进行多视角的标签修正,解决了传统自标签技术的错误累积问题.此外,本文引入对比学习正则化项,提升了标签修正效果和模型表征学习能力.本文方法在4个测试基准上取得了当前最好分类效果,验证了所提训练框架的有效性. 展开更多
关键词 标签噪声学习 样本选择 标签修正 对比学习
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Traditional Chinese medicine in COVID-19 被引量:34
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作者 Ming Lyu Guanwei Fan +12 位作者 Guangxu Xiao Taiyi Wang Dong Xu Jie Gao Shaoqin Ge Qingling Li yuling ma Han Zhang Jigang Wang Yuanlu Cui Junhua Zhang Yan Zhu Boli Zhang 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2021年第11期3337-3363,共27页
COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2(SARSCo V-2)has spread across the globe,posing an enormous threat to public health and safety.Traditional Chinese medicine(TCM),in combination... COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2(SARSCo V-2)has spread across the globe,posing an enormous threat to public health and safety.Traditional Chinese medicine(TCM),in combination with Western medicine(WM),has made important and lasting contributions in the battle against COVID-19.In this review,updated clinical effects and potential mechanisms of TCM,presented in newly recognized three distinct phases of the disease,are summarized and discussed.By integrating the available clinical and preclinical evidence,the efficacies and underlying mechanisms of TCM on COVID-19,including the highly recommended three Chinese patent medicines and three Chinese medicine formulas,are described in a panorama.We hope that this comprehensive review not only provides a reference for health care professionals and the public to recognize the significant contributions of TCM for COVID-19,but also serves as an evidence-based in-depth summary and analysis to facilitate understanding the true scientific value of TCM. 展开更多
关键词 COVID-19 SARS-CoV-2 Traditional Chinese medicine Clinical evidence Potential mechanism Viral infection Cytokine storm Multiple organ dysfunction
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Facile Synthesis of Mo2C Nanocrystals Embedded in Nanopo- rous Carbon Network for Efficient Hydrogen Evolution 被引量:6
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作者 Yuyun Chen Yun Zhang +4 位作者 yuling ma Tang Tang Zhihui Dai Jinsong Hu Lijun Wan 《Chinese Journal of Chemistry》 SCIE CAS CSCD 2017年第6期911-917,共7页
Exploring facile and easily-scalable methods for synthesizing earth-abundant, cost-effective and efficient hy- drogen evolution reaction (HER) electrocatalysts is essential for the mass production of hydrogen as a c... Exploring facile and easily-scalable methods for synthesizing earth-abundant, cost-effective and efficient hy- drogen evolution reaction (HER) electrocatalysts is essential for the mass production of hydrogen as a clean and sustainable energy carrier. We report here a simple strategy to produce Mo2C nanocrystals embedded in carbon network (Mo2C@C) by the direct pyrolysis of ammonium molybdate and polyvinylpyrrolidone (PVP). It is found that PVP can be effectively used as a single source to form carbides and carbon network. The long polymer chain and coordinating capability with transition metal of PVP make it possible to form connected porous carbon network and well-dispersed MozC nanocrystals in several nanometers. The carbonization of PVP not only effectively in-situ prevents the aggregation of Mo2C nanocrystals during their formation, but also provides conductive porous matrix. As a result, the Mo2C@C composite exhibits the superior electrocatalytic performance for HER, which can be as- cribed to the large number of active sites from plenty of small MORC nanocrystals and the efficient mass and elec- tron transport network from carbon matrix. This strategy may inspire the exploration of cost-effective functional polymer as single source for both carbon precursor and nanostructure-directed reagent to mass-produce well-defined metal carbides nanostructures embedded in porous carbon network for energy applications. 展开更多
关键词 molybdenum carbides ELECTROCATALYSIS ELECTROLYSIS PVP HER
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VAV2 is required for DNA repair and implicated in cancer radiotherapy resistance 被引量:3
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作者 Weiling Liu Chuanwang Miao +17 位作者 Shaosen Zhang Yachen Liu Xiangjie Niu Yiyi Xi Wenjia Guo Jiahui Chu Ai Lin Hongjin Liu Xinyu Yang Xinjie Chen Ce Zhong yuling ma Yuqian Wang Shihao Zhu Shuning Liu Wen Tan Dongxin Lin Chen Wu 《Signal Transduction and Targeted Therapy》 SCIE CSCD 2021年第9期2906-2919,共14页
Radiotherapy remains the mainstay for treatment of various types of human cancer;however,the clinical efficacy is often limited by radioresistance,in which the underlying mechanism is largely unknown.Here,using esopha... Radiotherapy remains the mainstay for treatment of various types of human cancer;however,the clinical efficacy is often limited by radioresistance,in which the underlying mechanism is largely unknown.Here,using esophageal squamous cell carcinoma(ESCC)as a model,we demonstrate that guanine nucleotide exchange factor 2(VAV2),which is overexpressed in most human cancers,plays an important role in primary and secondary radioresistance.We have discovered for the first time that VAV2 is required for the Ku70/Ku80 complex formation and participates in non-homologous end joining repair of DNA damages caused by ionizing radiation. 展开更多
关键词 CANCER CLINICAL RESISTANCE
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