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Deep learning to estimate ocean subsurface salinity structure in the Indian Ocean using satellite observations

Journal of Oceanology and Limnology 2024年第2期42卷 377-389页

作者： Jifeng QI Guimin SUN bowen xie Delei LI Baoshu YIN CAS Key Laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China School of Mathematics and Physics Qingdao University of Science and TechnologyQingdao 266061China CAS Engineering Laboratory for Marine Ranching Institute of OceanologyChinese Academy of SciencesQingdao 266071China

Accurately estimating the ocean subsurface salinity structure(OSSS)is crucial for understanding ocean dynamics and predicting climate *** present a convolutional neural network(CNN)model to estimate the OSSS in the Indian Ocean using satellite data and Argo *** evaluated the performance of the CNN model in terms of its vertical and spatial distribution,as well as seasonal variation of OSSS *** demonstrate that the CNN model accurately estimates the most significant salinity features in the Indian Ocean using sea surface data with no significant differences from Argo-derived ***,the estimation accuracy of the CNN model varies with depth,with the most challenging depth being approximately 70 m,corresponding to the halocline *** of the CNN model’s accuracy in estimating OSSS in the Indian Ocean are also conducted by comparing Argo observations and CNN model estimations along two selected sections and four selected *** results show that the CNN model effectively captures the seasonal variability of salinity,demonstrating its high performance in salinity estimation using sea surface *** analysis reveals that sea surface salinity has the strongest correlation with OSSS in shallow layers,while sea surface height anomaly plays a more significant role in deeper *** preliminary results provide valuable insights into the feasibility of estimating OSSS using satellite observations and have implications for studying upper ocean dynamics using machine learning techniques.

关键词： machine learning convolutional neural network(CNN) ocean subsurface salinity structure(OSSS) Indian Ocean satellite observations

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民国时期临床中药学构建的影响因素及学术意义

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中医杂志 2024年第3期65卷 229-233页

作者：李楠万芳侯酉娟解博文葛政中国中医科学院研究生院北京市100700 中国中医科学院中国医史文献研究所中国中医科学院中医药信息研究所

民国时期(1912—1949)是传统本草学向中药学过渡的重要阶段,中药的临床应用为此时期相关领域关注的重点。民国时期明确了临床中药学的研究目的、研究方法与研究内容,并通过功效分类与条目分述的方式建立了临床中药学的基本架构。结合当... 详细信息

民国时期(1912—1949)是传统本草学向中药学过渡的重要阶段,中药的临床应用为此时期相关领域关注的重点。民国时期明确了临床中药学的研究目的、研究方法与研究内容,并通过功效分类与条目分述的方式建立了临床中药学的基本架构。结合当时的时代背景分析,逆境求存是推动临床中药学建立的重要内因,院校教育兴起为临床中药学的建立奠定了基础,中医药期刊的普及则进一步促进了临床中药学的构建。民国时期临床中药学逐渐形成了与传统本草学具有明显区别的理论架构和核心内容,其与中药科学研究互为融通,并与其他分支学科共同促进中药学的不断发展,呈现出鲜明的时代特色并具有重要学术意义。

关键词：临床中药学民国时期学术史本草学

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江山市2018—2022年肺结核流行特征及空间聚集性分析

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海峡预防医学杂志 2024年第2期30卷 26-29页

作者：李冰王萍谢波文江山市疾病预防控制中心浙江江山324100

目的分析江山市肺结核流行特征及空间聚集情况,为疫情防控提供依据。方法采用描述性流行病学方法对江山市2018—2022年肺结核流行特征进行分析,并用全局空间自相关和局部空间自相关统计进行空间聚集性分析。结果江山市2018—2022年报告... 详细信息

目的分析江山市肺结核流行特征及空间聚集情况,为疫情防控提供依据。方法采用描述性流行病学方法对江山市2018—2022年肺结核流行特征进行分析,并用全局空间自相关和局部空间自相关统计进行空间聚集性分析。结果江山市2018—2022年报告肺结核1681例,死亡5例,年均发病率54.86/10万、死亡率0.21/10万,发病率呈波动上升趋势(趋势χ^(2)=15.42,P<0.01),病原学阳性率为46.3%;发病高峰为5~7月(31.1%,522例);男性发病率(74.55/10万)高于女性(33.69/10万,χ^(2)=261.54,P<0.01),≥60岁年龄组占比较高(58.2%,979例),发病职业以农民为主(72.0%,1211例);发病率位前3位是大桥镇(111.86/10万)、大陈乡(89.45/10万)和坛石镇(86.30/10万),空间相关分析显示发病存在空间聚集性,5年间肺结核H-H高发病率聚集区为坛石镇和大桥镇。结论江山市肺结核发病有明显地域聚集性,应针对发病高风险区采取更积极的防控措施。

关键词：肺结核流行特征疫情防控空间自相关分析江山市

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肺积阳虚证古籍文献整理与研究

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中国中医药图书情报杂志 2024年第5期48卷 5-9页

作者：周勇杰解博文上海市嘉定区安亭镇黄渡社区卫生服务中心中国中医科学院中国医史文献研究所

肺积乃“五积”之一，病名最早见于《难经》。肺积的发生多与阴气内积、外感寒邪、正气虚弱有关，情志、起居、饮食等因素也会影响其预后和发展。阳虚证是肺积的重要证型，肺积阳虚证的发展特点可总结为起于寒，伴随于寒，又不止于寒。... 详细信息

肺积乃“五积”之一，病名最早见于《难经》。肺积的发生多与阴气内积、外感寒邪、正气虚弱有关，情志、起居、饮食等因素也会影响其预后和发展。阳虚证是肺积的重要证型，肺积阳虚证的发展特点可总结为起于寒，伴随于寒，又不止于寒。本研究以古籍文献为基础，通过对肺积阳虚证病名内涵、病因病机和治疗特点进行归纳、分析、总结，探究古人对肺积阳虚证的认识，以期为临床治疗肺积阳虚证提供参考。

关键词：肺积肺阳虚温阳祛邪温阳扶正

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民国时期东北第一大药材集散地营口调查研究

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辽宁中医杂志 2024年第7期51卷 7-12页

作者：侯酉娟郎朗李莎莎解博文万芳中国中医科学院中医药信息研究所北京100700 中国中医科学院中国医史文献研究所北京100700

全面收集清末、民国时期史志文献,民国出版图书、期刊、日报及日伪编纂汇编类文献,参考建国后出版文史资料中的口述文献,去伪存真,去粗取精,对民国时期东北地区起源最早、规模最大的中药材集散地营口发源、兴盛、凋敝、衰落之全过程加... 详细信息

全面收集清末、民国时期史志文献,民国出版图书、期刊、日报及日伪编纂汇编类文献,参考建国后出版文史资料中的口述文献,去伪存真,去粗取精,对民国时期东北地区起源最早、规模最大的中药材集散地营口发源、兴盛、凋敝、衰落之全过程加以调查研究;探究其成为东北第一大药材集散地的历史地理、交通、药材资源优势,重点讨论当地药材集散的种类、规模、变化规律和经营模式,了解其在民国独特社会进程和近代中医药学科发展影响下的时代特色,为尽可能全面客观认识民国中药产业史及民国药业探源溯流提供重要依据。

关键词：营口中药材集散民国调查研究

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《本草图经》药物考证研究进展

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亚太传统医药 2024年第4期20卷 208-213页

作者：葛政万芳解博文中国中医科学院中医药信息研究所北京100700 中国中医科学院中国医史文献研究所北京100700

《本草图经》是我国现存最早的版刻本草图谱,载药八百余种,所绘药图九百余幅,学术价值很高。借助网络数据库收集公开发表的关于《本草图经》药物考证研究的72篇论文,并对其进行梳理,发现《本草图经》的药物考证研究大致呈现出“面-点-... 详细信息

《本草图经》是我国现存最早的版刻本草图谱,载药八百余种,所绘药图九百余幅,学术价值很高。借助网络数据库收集公开发表的关于《本草图经》药物考证研究的72篇论文,并对其进行梳理,发现《本草图经》的药物考证研究大致呈现出“面-点-面”发展趋势,由最初多按药物自然属性进行分类研究,至单味药物的本草考证,再到更细致的药物分类研究和以产地为划分的药物研究,可见对《本草图经》的药物考证研究在逐步深入,趋向多元化与精细化。就药物考证而言,单味药物的微观化研究、药物的产地与品种研究等方面仍值得深入探讨。

关键词：本草图经本草图谱苏颂中药考证

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Does burning fat make tumor immune hot? Discovery of cD47 overexpression by radiation induced fatty acid oxidation

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Genes & Diseases 2023年第1期10卷 7-9页

作者： Nian Jiang bowen xie Ming Fan Jian Jian Li Department of Radiation Oncology University of California Davis School of MedicineSacramentoCA 95817USA Department of Neurosurgery National Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangshaHunan 410008China Institute for Immunology and School of Medicine Tsinghua UniversityBeijing 100084China NCl-Designated Comprehensive Cancer Center University of California DavisSacramentoCA 95817USA

Although extensively studied,it is unknown what is the major cellular energy driving tumor metastasis after anti-cancer *** reprogramming is one of the fundamental hallmarks in carcinogenesis and tumor progression featured with the increased glycolysis in solid ***,accumulating evidence indicates that in addition to the rudimentary glycolytic pathway,tumor cells are capable of reactivating mitochondrial OxPHOS under genotoxic stress condition to meet the increasing cellular fuel demand for repairing and surviving anti-cancer *** dynamic metabolic rewiring may play a key role in cancer therapy resistance and ***,data from our group and others have demonstrated that cancer cells can re-activate mitochondrial oxidative respiration to boost an annexing energy to meet the increasing cellular fuel demand for tumor cells surviving genotoxic anti-cancer therapy with metastatic potential.

关键词： CD47 Immunecheckpoint Immunotherapy Metabolic rewiring Radiation therapy Tumor acquired resistance

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Method for Detecting Industrial Defects in Intelligent Manufacturing Using Deep Learning

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Computers, Materials & Continua 2024年第1期78卷 1329-1343页

作者： bowen Yu Chunli xie College of Mechanical and Electrical Engineering Northeast Forestry UniversityHarbin150040China

With the advent of Industry 4.0,marked by a surge in intelligent manufacturing,advanced sensors embedded in smart factories now enable extensive data collection on equipment *** analysis of such data is pivotal for ensuring production safety,a critical factor in monitoring the health status of manufacturing *** defect detection techniques,typically limited to specific scenarios,often require manual feature extraction,leading to inefficiencies and limited versatility in the overall *** research presents an intelligent defect detection methodology that leverages deep learning techniques to automate feature extraction and defect localization *** proposed approach encompasses a suite of components:the high-level feature learning block(HLFLB),the multi-scale feature learning block(MSFLB),and a dynamic adaptive fusion block(DAFB),working in tandem to extract meticulously and synergistically aggregate defect-related characteristics across various scales and hierarchical *** have conducted validation of the proposed method using datasets derived from gearbox and bearing *** empirical outcomes underscore the superior defect detection capability of our *** demonstrates consistently high performance across diverse datasets and possesses the accuracy required to categorize defects,taking into account their specific locations and the extent of damage,proving the method’s effectiveness and reliability in identifying defects in industrial components.

关键词： Industrial defect detection deep learning intelligent manufacturing

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An Algorithm for Short-Circuit Current Interval in Distribution Networks with Inverter Type Distributed Generation Based on Affine Arithmetic

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Energy Engineering 2024年第7期121卷 1903-1920页

作者： Yan Zhang bowen Du Benren Pan GuannanWang Guoqiang xie Tong Jiang Electric Power Research Institute State Grid Jiangxi Electric Power Co.Ltd.Nanchang330096China School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing102206China

During faults in a distribution network,the output power of a distributed generation(DG)may be ***,the output currents of distributed power sources are also affected by the output power,resulting in uncertainties in the calculation of the short-circuit current at the time of a ***,the impacts of such uncertainties around short-circuit currents will increase with the increase of distributed power ***,it is very important to develop a method for calculating the short-circuit current while considering the uncertainties in a distribution *** this study,an affine arithmetic algorithm for calculating short-circuit current intervals in distribution networks with distributed power sources while considering power fluctuations is *** proposed algorithm includes two *** the first stage,normal operations are considered to establish a conservative interval affine optimization model of injection currents in distributed power *** by the fluctuation range of distributed generation power at the moment of fault occurrence,the model can then be used to solve for the fluctuation range of injected current amplitudes in distributed power *** second stage is implemented after a malfunction *** this stage,an affine optimization model is first *** model is developed to characterizes the short-circuit current interval of a transmission line,and is constrained by the fluctuation range of the injected current amplitude of DG during normal ***,the range of the short-circuit current amplitudes of distribution network lines after a short-circuit fault occurs is *** algorithm proposed in this article obtains an interval range containing accurate results through interval *** with traditional point value calculation methods,interval calculation methods can provide more reliable analysis and calculation *** range of short-circuit current amplitude ob

关键词： Short circuit calculation inverter type distributed power supplies affine arithmetic distribution network

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Unravelling the nature of the active species as well as the Mn doping effect over gamma-Al_(2)O_(3) catalyst for eliminating AsH_(3) and PH_(3)

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Journal of Environmental Sciences 2024年第2期136卷 213-225页

作者： bowen Xu Jiaxin Qu Xueqian Wang Langlang Wang Yu Pu Ping Ning Yibing xie Yixing Ma Qiang Ma Faculty of Environmental Science and Engineering Kunming University of Science and TechnologyKunming 650500China School of Architecture and Civil Engineering Chengdu UniversityChengdu 610106China

To investigate the enhancing effect of Mn on the performance of simultaneous catalytic oxidation of AsH_(3)and PH_(3)by CuO-Al_(2)O_(3)in a reducing atmosphere under micro-oxygen conditions,Cu-Mn modifiedγ-Al_(2)O_(3)catalysts were *** characteristics of the catalysts showed that Mn reduced the crystallinity of the active CuO component,increased the number of oxygen vacancies and acidic sites on the catalyst surface,enhanced the mobility of surface oxygen,and the interaction between copper and manganese promoted the redox cycling ability of the catalysts and improved their oxidation performance,which increased the conversion frequency(TOF)by 2.54×10^(-2)to 3.07×10^(-2)sec^(-1).On the other hand,the introduction of Mn reduced the production of phosphate and As_(2)O_(3)on the catalyst surface by30.96%and 44.9%,which reduced the coverage and inerting of the active sites by phosphate and As_(2)O_(3),resulting in an 8 hr(6 hr)improvement in the stability of PH_(3)(AsH_(3))removal.

关键词： AsH_(3)-PH_(3)removal Oxygen activation Mn doping Stability enhancement

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