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三年级学生作文指导策略刍议

成才之路 2021年第21期 126-127页

作者：马景发甘肃省武威市凉州区金河镇王景寨小学甘肃武威733009

三年级作文教学是语文教学的一大难点。在实际教学中,教师应根据农村学生实际并结合三年级学生身心特点指导学生在生活中积累素材,通过口语交际为作文铺垫,指导学生反复修改,提高作文质量。教师要在整个作文教学中引导学生写真话、抒真... 详细信息

三年级作文教学是语文教学的一大难点。在实际教学中,教师应根据农村学生实际并结合三年级学生身心特点指导学生在生活中积累素材,通过口语交际为作文铺垫,指导学生反复修改,提高作文质量。教师要在整个作文教学中引导学生写真话、抒真情,培养学生正确的世界观、人生观、价值观。

关键词：三年级作文指导策略积累素材口语交际修改写真话抒真情

Database Commons:A Catalog of Worldwide Biological Databases

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Genomics, Proteomics & Bioinformatics 2023年第5期21卷 1054-1058页

作者： Lina ma Dong Zou Lin Liu Huma Shireen Amir AAbbasi Alex Bateman jingfa Xiao Wenming Zhao Yiming Bao Zhang Zhang National Genomics Data Center Beijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing 100101China CAS Key Laboratory of Genome Sciences and Information Beijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China National Center for Bioinformatics Programme of Comparative and Evolutionary GenomicsFaculty of Biological SciencesQuaid-i-Azam UniversityIslamabad 45320Pakistan European Molecular Biology Laboratory European Bioinformatics Institute(EMBL-EBI)HinxtonCambridge CB101SDUnited Kingdom

Biological databases serve as a global fundamental infrastructure for the worldwide scientific community,which dramatically aid the transformation of big data into knowledge discovery and drive significant innovations in a wide range of research *** the rapid data production,biological databases continue to increase in size and *** build a catalog of worldwide biological databases,we curate a total of 5825 biological databases from 8931 publications,which are geographically distributed in 72 countries/regions and developed by 1975 institutions(as of September 20,2022).We further devise a z-index,a novel index to characterize the scientific impact of a database,and rank all these biological databases as well as their hosting institutions and countries in terms of citation and ***,we present a series of statistics and trends of worldwide biological databases,yielding a global perspective to better understand their status and impact for life and health *** up-to-date catalog of worldwide biological databases,as well as their curated meta-information and derived statistics,is publicly available at Database Commons(https://***/databasecommons/).

关键词： Biological database Catalog Database Commons Citation z-index

Promoting the Na^(+)-storage of NiCo_(2)S_(4) hollow nanospheres by surfacing Ni-B nanoflakes

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Journal of materials Science & Technology 2021年第23期82卷 114-121页

作者： jingfa Li Jian Zhou Qihao Zhou Xin Wang Cong Guo Min Li School of Chemistry and materials Science Nanjing University of Information Science and TechnologyNanjing210044JiangsuChina Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean School of Physics and Optoelectronic EngineeringNanjing University of Information Science and TechnologyNanjing210044JiangsuChina

Sodium ion battery(SIB)is considered as the potential alternative for next generation energy system to succeed the lithium ion battery(LIB)due to the low price and vast abundance of Na *** metal sulfide is identified as an impo rtant redox conversion type of negative electrode for *** this study,amorphous nickel boride(Ni-B)nanoflakes are introduced into the hollow Ni-Co sulfide nanospheres by a facile in situ solution growth route to promote the electrochemical performance of Na^(+)-*** measurements demonstrate that the Ni-B component could effectively improve the redox kinetics of the conversion reaction and structural stability during long-term Na^(+)insertion/*** example,the NiCo_(2)S_(4)@Ni-B composites display a high reversible capacity of 251.9 ma h g^(-1)at the current density of 1.0 A g^(-1)after 200 cycles,much higher than that of bare NiCo_(2)S_(4)(37.4 ma h g^(-1)at 1.0 A g^(-1)after 200 cycles).As a consequence,these results demonstrate a new sight to explore heterostructures of mixed metal-sulfides electrode materials with superior Na^(+)-storage performances.

关键词： Surface growth Ternary metal sulfides Redox kinetics Sodium ion battery

Genome Warehouse: A Public Repository Housing Genome-scale Data

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Genomics, Proteomics & Bioinformatics 2021年第4期19卷 584-589页

作者： Meili Chen Yingke ma Song Wu Xinchang Zheng Hongen Kang Jian Sang Xingjian Xu Lili Hao Zhaohua Li Zheng Gong jingfa Xiao Zhang Zhang Wenming Zhao Yiming Bao National Genomics Data Center Beijing Institute of GenomicsChinese Academy of Sciences/China National Center for BioinformationBeijing 100101China CAS Key Laboratory of Genome Sciences and Information Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Division of Cancer Epidemiology and Genetics National Cancer InstituteNational Institutes of Health.Bethesda.MD 20X92.USA College of Computer Science Technology Inner Mongolia Normal UniversityHohhot 010010China

The Genome Warehouse(GWH)is a public repository housing genome assembly data for a wide range of species and delivering a series of web services for genome data submission,storage,release,and *** one of the core resources in the National Genomics Data Center(NGDC),part of the China National Center for Bioinformation(CNCB;https://***),GWH accepts both full and partial(chloroplast,mitochondrion,and plasmid)genome sequences with different assembly levels,as well as an update of existing genome *** each assembly,GWH collects detailed genome-related metadata of biological project,biological sample,and genome assembly,in addition to genome sequence and *** archive high-quality genome sequences and annotations,GWH is equipped with a uniform and standardized procedure for quality *** basic browse and search functionalities,all released genome sequences and annotations can be visualized with *** may 21,2021,GWH has received 19,124 direct submissions covering a diversity of 1108 species and has released 8772 of ***,GWH serves as an important resource for genomescale data management and provides free and publicly accessible data to support research activities throughout the *** is publicly accessible at https://***/gwh.

关键词： Genome submission Genome sequence Genome annotation Genome Warehouse Quality control

Plant genomic resources at National Genomics Data Center:assisting in data-driven breeding applications

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aBIOTECH 2024年第1期5卷 94-106页

作者： Dongmei Tian Tianyi Xu Hailong Kang Hong Luo Yanqing Wang Meili Chen Rujiao Li Lina ma Zhonghuang Wang Lili Hao Bixia Tang Dong Zou jingfa Xiao Wenming Zhao Yiming Bao Zhang Zhang Shuhui Song National Genomics Data Center Beijing Institute of GenomicsChinese Academy of Sciences&China National Center for BioinformationBeijing 100101China CAS Key Laboratory of Genome Sciences and Information Beijing Institute of GenomicsChinese Academy of Sciences&China National Center for BioinformationBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Genomic data serve as an invaluable resource for unraveling the intricacies of the higher plant systems,including the constituent elements within and among *** various efforts in genomic data archiving,integrative analysis and value-added curation,the National Genomics Data Center(NGDC),which is a part of the China National Center for Bioinformation(CNCB),has successfully established and currently maintains a vast amount of database *** dedicated initiative of the NGDC facilitates a data-rich ecosystem that greatly strengthens and supports genomic research ***,we present a comprehensive overview of central repositories dedicated to archiving,presenting,and sharing plant omics data,introduce knowledgebases focused on variants or gene-based functional insights,highlight species-specific multiple omics database resources,and briefly review the online application *** intend that this review can be used as a guide map for plant researchers wishing to select effective data resources from the NGDC for their specific areas of study.

关键词： Plant-omics data Data repositories Data integration Knowledgebase Plant genomics

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支持高效更新的移动对象索引研究

南京航空航天大学学报 2009年第6期41卷 748-752页

作者：潘锦基马廷淮刘景发南京信息工程大学计算机与软件学院南京210044 南京航空航天大学信息科学与技术学院南京210016

基于TPR-树(Time parameterized R-tree,TPR-树)提出的LUTPR-树采用基于主存的更新方法,更新对象的删除操作在内存中完成,故避免了TPR-树中对象更新所导致的耗时的查找操作。同时,LUTPR-树能有效利用主存资源。实验结果表明,与TPR-树相... 详细信息

基于TPR-树(Time parameterized R-tree,TPR-树)提出的LUTPR-树采用基于主存的更新方法,更新对象的删除操作在内存中完成,故避免了TPR-树中对象更新所导致的耗时的查找操作。同时,LUTPR-树能有效利用主存资源。实验结果表明,与TPR-树相比,LUTPR-树以牺牲很小部分查询性能为代价,大大提高了更新效率,更加适用于更新密集型应用。

关键词：频繁更新延迟删除 TPR-树自底向上更新方法

The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR

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Genomics, Proteomics & Bioinformatics 2020年第6期18卷 749-759页

作者： Shuhui Song Lina ma Dong Zou Dongmei Tian Cuiping Li Junwei Zhu Meili Chen Anke Wang Yingke ma Mengwei Li Xufei Teng Ying Cui Guangya Duan Mochen Zhang Tong Jin Chengmin Shi Zhenglin Du Yadong Zhang Chuandong Liu Rujiao Li Jingyao Zeng Lili Hao Shuai Jiang Hua Chen Dali Han jingfa Xiao Zhang Zhang Wenming Zhao Yongbiao Xue Yiming Bao China National Center for Bioinformation Beijing 100101China National Genomics Data Center Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China CAS Key Laboratory of Genome Sciences and Information Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China Center for Excellence in Animal Evolution and Genetics Chinese Academy of SciencesKunming 650223China

On January 22,2020,China National Center for Bioinformation(CNCB)released the 2019 Novel Coronavirus Resource(2019nCoVR),an open-access information resource for the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).2019nCoVR features a comprehensive integration of sequence and clinical information for all publicly available SARS-CoV-2 isolates,which are manually curated with value-added annotations and quality evaluated by an automated in-house *** particular note,2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global *** provides all identified variants and their detailed statistics for each virus isolate,and congregates the quality score,functional annotation,and population frequency for each *** change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes ***,2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019(COVID-19),including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe ***,by linking with relevant databases in CNCB,2019nCoVR offers data submission services for raw sequence reads and assembled genomes,and data sharing with ***,SARS-CoV-2 is updated daily to collect the latest information on genome sequences,variants,haplotypes,and literature for a timely reflection,making 2019nCoVR a valuable resource for the global research community.2019nCoVR is accessible at https://***/ncov/.

关键词： 2019nCoVR SARS-CoV-2 Database Genomic variation Haplotype

2016年日本熊本MW7.0地震强震动记录特征分析

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地震研究 2020年第1期43卷 125-133,I0004页

作者：解全才马强张景发中国地震局工程力学研究所中国地震局地震工程与工程振动重点实验室黑龙江哈尔滨150080 中国地震局地壳应力研究所中国地震局地壳动力学重点实验室北京100085

对2016年日本熊本MW7.0地震K-net和Kik-net强震动台网获取的强震动记录进行校正处理,分析了峰值加速度与峰值速度幅值特征,将观测结果与日本常用的3组衰减关系进行了对比,最后分析了强震动记录的持时特征和频谱特征。结果表明:①本次地... 详细信息

对2016年日本熊本MW7.0地震K-net和Kik-net强震动台网获取的强震动记录进行校正处理,分析了峰值加速度与峰值速度幅值特征,将观测结果与日本常用的3组衰减关系进行了对比,最后分析了强震动记录的持时特征和频谱特征。结果表明:①本次地震EW,NS及UD向最大峰值加速度分别为1156.95 gal,-786.60 gal,874.40 gal,与日本地区峰值加速度和峰值速度衰减公式预测值比较吻合;②5%-75%和5%-95%的2种能量持时整体上符合随距离增大而增大的规律;③KMMH16台站3个方向的加速度反应谱在0.5~1.2 s都超过1995年阪神地震中JR Takaroti台站的反应谱,本次地震对木结构房屋和低矮及中层钢筋混凝土房屋破坏严重。

关键词：熊本地震仪器地震烈度峰值加速度持时频谱

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改进YOLOv7算法的龋齿图像检测

现代电子技术 2024年第17期47卷 79-87页

作者：范晓聪姚竟发滕桂法马永平河北农业大学信息科学与技术学院河北保定071000 河北软件职业技术学院软件工程系河北保定071000 河北省保定市第二医院口腔科河北保定071000

针对口腔医疗资源紧缺和龋齿治疗效率不足的问题,提出一种改进YOLOv7的龋齿图像检测算法,旨在协助医生进行更有效的医疗诊断,同时增强患者对预防龋齿的意识。首先,在YOLOv7算法的主干网络引入ECA-MobileOne网络模块代替原有的ELAN模块,... 详细信息

针对口腔医疗资源紧缺和龋齿治疗效率不足的问题,提出一种改进YOLOv7的龋齿图像检测算法,旨在协助医生进行更有效的医疗诊断,同时增强患者对预防龋齿的意识。首先,在YOLOv7算法的主干网络引入ECA-MobileOne网络模块代替原有的ELAN模块,降低模型参数量,提高对小目标龋齿特征的有效提取;其次,在特征图输出层采用自适应特征融合(ASFF),自适应地学习各尺度特征图在融合时的空间权重,充分获取口腔图像中不同尺度下的关键特征,提高检测的全局性和准确性;另外,采用soft-NMS算法替换原有的非极大值抑制算法(NMS),在牙齿异位或重叠等情况下能更有效地提升检测效果。使用在保定市第二医院口腔科采集的口腔照片数据集进行实验,结果显示,改进后的算法maP达到93.4%,相较于原始YOLOv7算法提高了5.5%,并且与当前主流算法相比,具有一定的先进性,为促进口腔健康的整体改善提供了新的技术支持。

关键词：龋齿检测 MobileOne 自适应特征融合 YOLOv7 soft-NMS 图像检测