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Chinese Medical Journal 2024年第9期137卷 1130-1131页

作者： yuelin yu Lin Zhuo Ruogu Meng Wanqian Guo yuanyuan Chen yunjing Zhang Ying Chen Hongjing Shi Zhi Lin Siyan Zhan Shengfeng Wang Department of Epidemiology and Biostatistics School of Public HealthPeking UniversityBeijing 100191China Research Center of Clinical Epidemiology Peking University Third HospitalBeijing 100191China National Institute of Health Data Science Peking UniversityBeijing 100191China Health Science Center Peking UniversityBeijing 100191China

To the Editor:Assessment of data appropriateness is a process to answer whether electronic health records(EHRs)from routine healthcare practices couldt intended study purposes,for example,available to be proceeded,with enough individual records,with relevant information able to be extracted from records,etc.[1-3]This has been increasingly underscored as a prerequisite when using EHRs(one important type of real-world data[RWD])for scientic purposes.[4-6]Although controversies remain on the denitions,types and assessment methods of the dimensions of RWD appropriateness,the latest ofcial guidelines(i.e.,from the *** and Drug Administration[FDA][4]and China National Medical Products Administration[NMPA][6])suggest that the assessment start from a preliminary stage on variable existence,and subsequently deepen into the issue of data value(such as missing value,outliers,etc.),as the preliminary assessment is the foundation of the overall RWD appropriateness.[7]Little is known about the appropriateness of EHRs in developing regions,which feature high visit volumes and a great number of ***,this study aimed to preliminarily investigate RWD appropriateness from hospitals in developing regions from the perspective of core variables’comparison.

关键词： electronic dimensions records

PTH1R基因突变导致原发性牙齿萌出障碍的研究进展

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中华口腔正畸学杂志 2024年第1期31卷 35-38页

作者：查蕴宸余岳霖李舒舒孔卫东暨南大学口腔医学院广州510632 暨南大学附属第一医院口腔科广州510630

原发性牙齿萌出障碍是一类导致牙列开的罕见病,患者无明显局部和全身发病因素,疾病主要与牙齿的萌出机制异常有关。近年来国内外学者研究发现,原发性牙齿萌出障碍为常染色体显性遗传病,编码甲状旁腺激素Ⅰ型受体的基因异常是引起原发性... 详细信息

原发性牙齿萌出障碍是一类导致牙列开的罕见病,患者无明显局部和全身发病因素,疾病主要与牙齿的萌出机制异常有关。近年来国内外学者研究发现,原发性牙齿萌出障碍为常染色体显性遗传病,编码甲状旁腺激素Ⅰ型受体的基因异常是引起原发性牙齿萌出障碍发生的主要原因。本文就有关PTH1R基因突变导致原发性牙齿萌出障碍的研究进展进行简要概述。

关键词：原发性牙齿萌出障碍甲状旁腺激素Ⅰ型受体动物模型信号转导

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新抗原肿瘤疫苗临床试验的研究现状与展望

肿瘤综合治疗电子杂志 2024年第3期10卷 154-160页

作者：余玥霖刘芹刘宝瑞南京大学医学院附属鼓楼医院肿瘤中心江苏南京210008

近年来,新抗原肿瘤疫苗的蓬勃发展开启了肿瘤免疫治疗的新篇章。随着各种组学和生物信息学等技术的不断进步,新抗原肿瘤疫苗的研发和临床转化成为了最令人瞩目的研究方向。肿瘤疫苗在实体瘤的临床前研究及相关临床试验均显示出了抗肿瘤... 详细信息

近年来,新抗原肿瘤疫苗的蓬勃发展开启了肿瘤免疫治疗的新篇章。随着各种组学和生物信息学等技术的不断进步,新抗原肿瘤疫苗的研发和临床转化成为了最令人瞩目的研究方向。肿瘤疫苗在实体瘤的临床前研究及相关临床试验均显示出了抗肿瘤潜力,可分为预防性疫苗和治疗性疫苗。本文主要从新抗原肿瘤治疗性疫苗中的信使RNA疫苗、树突状细胞疫苗、合成肽疫苗和病毒载体疫苗等角度,论述2021—2024年国内外新抗原肿瘤疫苗相关的临床试验,并归纳研究现状、存在问题、应对措施和展望未来研究方向。

关键词：新抗原肿瘤疫苗肿瘤免疫治疗肿瘤免疫微环境生物信息学

An insider user authentication method based on improved temporal convolutional network

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High-Confidence Computing 2023年第4期3卷 87-95页

作者： Xiaoling Tao yuelin yu Lianyou Fu Jianxiang Liu yunhao Zhang Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic TechnologyGuilin 541004China Guangxi Cooperative Innovation Center of Cloud Computing and Big Data Guilin University of Electronic TechnologyGuilin 541004China

With the rapid development of information technology,information system security and insider threat detection have become important topics for organizational *** the current network environment,user behavioral bio-data presents the characteristics of nonlinearity and temporal *** of the existing research on authentication based on user behavioral biometrics adopts the method of manual feature *** do not adequately capture the nonlinear and time-sequential dependencies of behavioral bio-data,and also do not adequately reflect the personalized usage characteristics of users,leading to bottlenecks in the performance of the authentication *** order to solve the above problems,this paper proposes a Temporal Convolutional Network method based on an Efficient Channel Attention mechanism(ECA-TCN)to extract user mouse dynamics features and constructs an one-class Support Vector Machine(OCSVM)for each user for *** results show that compared with four existing deep learning algorithms,the method retains more adequate key information and improves the classification performance of the neural *** the final authentication,the Area Under the Curve(AUC)can reach 96%.

关键词： Insider users Mouse dynamics Feature extraction Temporal convolutional network Efficient channel attention mechanism Authentication

Estimation of reproduction numbers of COVID-19 in typical countries and epidemic trends under different prevention and control scenarios

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Frontiers of Medicine 2020年第5期14卷 613-622页

作者： Chen Xu Yinqiao Dong Xiaoyue yu Huwen Wang Lhakpa Tsamlag Shuxian Zhang Ruijie Chang Zezhou Wang yuelin yu Rusi Long Ying Wang Gang Xu Tian Shen Suping Wang Xinxin Zhang Hui Wang Yong Cai School of Public Health Shanghai Jiao Tong University School of MedicineShanghai 200025China Department of Environmental and Occupational Health School of Public HealthChina Medical UniversityShenyang 110122China Department of Cancer Prevention Shanghai Cancer CenterFudan UniversityDepartment of OncologyShanghai Medical CollegeFudan UniversityShanghai 200025China Research Laboratory of Clinical Virology National Research Center for Translational Medicine(Shanghai)Ruijin Hospital and Ruijin Hospital North Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200025China

The coronavirus disease 2019(COVID-19)has become a life-threatening *** epidemic trends in different countries vary considerably due to different policy-making and resources *** calculated basic reproduction number(R0)and the time-varying estimate of the effective reproductive number(Rt)of COVID-19 by using the maximum likelihood method and the sequential Bayesian method,*** and North American countries possessed higher (R0)and unsteady Rt fluctuations,whereas some heavily affected Asian countries showed relatively low (R0)and declining Rt *** numbers of patients in Africa and Latin America are still low,but the potential risk of huge outbreaks cannot be *** scenarios were then simulated,generating distinct outcomes by using SEIR(susceptible,exposed,infectious,and removed)***,evidence-based prompt responses yield lower transmission rate followed by decreasing ***,implementation of effective control policies at a relatively late stage,in spite of huge casualties at early phase,can still achieve containment and ***,wisely taking advantage of the time-window for developing countries in Africa and Latin America to adopt adequate measures can save more people’s *** mathematical modeling provides evidence for international communities to develop sound design of containment and mitigation policies for COVID-19.

关键词： reproduction number SEIR model COVID-19 estimate

Data Component:An Innovative Framework for Information Value Metrics in the Digital Economy

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China Communications 2024年第5期21卷 17-35页

作者： Tao Xiaoming Wang yu Peng Jieyang Zhao yuelin Wang yue Wang Youzheng Hu Chengsheng Lu Zhipeng Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Beijing 100084China China Electronics Corporation Beijing 100084China

The increasing dependence on data highlights the need for a detailed understanding of its behavior,encompassing the challenges involved in processing and evaluating ***,current research lacks a comprehensive structure for measuring the worth of data elements,hindering effective navigation of the changing digital *** paper aims to fill this research gap by introducing the innovative concept of“data components.”It proposes a graphtheoretic representation model that presents a clear mathematical definition and demonstrates the superiority of data components over traditional processing ***,the paper introduces an information measurement model that provides a way to calculate the information entropy of data components and establish their increased informational *** paper also assesses the value of information,suggesting a pricing mechanism based on its *** conclusion,this paper establishes a robust framework for understanding and quantifying the value of implicit information in data,laying the groundwork for future research and practical applications.

关键词： data component data element data governance data science information theory

Phase-and epidemic region-adjusted estimation of the number of coronavirus disease 2019 cases in China

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Frontiers of Medicine 2020年第2期14卷 199-209页

作者： Ruijie Chang Huwen Wang Shuxian Zhang Zezhou Wang Yinqiao Dong Lhakpa Tsamlag Xiaoyue yu Chen Xu yuelin yu Rusi Long Ning-Ning Liu Qiao Chu Ying Wang Gang Xu Tian Shen Suping Wang Xiaobei Deng Jinyan Huang Xinxin Zhang Hui Wang Yong Cai School of Public Health Shanghai Jiao Tong University School of MedicineShanghai 200025China Department of Cancer Prevention Shanghai Cancer CenterFudan UniversityDepartment of OncologyShanghai Medical CollegeFudan UniversityShanghai 200025China Department of Environmental and Occupational Health School of Public HealthChina Medical UniversityShenyang 110122China State Key Laboratory of Medical Genomics Shanghai Institute of HematologyNational Research Center for Translational Medicine(Shanghai)Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200025China Research Laboratory of Clinical Virology National Research Center for Translational Medicine(Shanghai)Ruijin Hospital and Ruijin Hospital North Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200025China

The outbreak of the coronavirus disease 2019 in China was first reported in Wuhan in December 2019 and gradually spread to other areas in *** implementation of prevention and control measures,the estimation of the epidemic trend is needed.A phase-and region-adjusted SEIR model was applied for modeling and predicting the number of cases in Wuhan,Hubei Province and regions outside Hubei Province in *** estimated number of infections could reach its peak in late February 2020 in Wuhan and Hubei Province,which is 55303–84520 and 83944–129312,respectively,while the epidemic peaks in regions outside Hubei Province in China could appear on February 13,2020 with the estimated 13035–19108 *** to the estimation,the outbreak would abate in March and April all over *** estimation provided evidence for planned work resumption under stringent prevention and control in China to further support the fight against the ***,there is still possibility of the second outbreak brought by the work resumption and population migration,especially from Hubei Province and high intensity cities outside Hubei *** prevention and control measures still need to be considered in the regions with high intensity of epidemic and densely-populated cities.

关键词： SEIR model COVID-19 estimate China

甲状旁腺激素受体1基因相关与原发性牙齿萌出障碍的研究进展

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国际口腔医学杂志 2023年第5期50卷 573-580页

作者：余岳霖孔卫东暨南大学口腔医学院广州510630 暨南大学第一附属医院口腔正畸科广州510630

原发性牙齿萌出障碍(PFE)是一种罕见的常染色体显性遗传性疾病,主要表现为单侧或双侧后牙区开,无明显局部阻碍因素和全身因素,主要与患者牙齿萌出机制异常有关。目前研究认为其病因与甲状旁腺激素受体1(PTH1R)基因突变有密切联系,但... 详细信息

原发性牙齿萌出障碍(PFE)是一种罕见的常染色体显性遗传性疾病,主要表现为单侧或双侧后牙区开,无明显局部阻碍因素和全身因素,主要与患者牙齿萌出机制异常有关。目前研究认为其病因与甲状旁腺激素受体1(PTH1R)基因突变有密切联系,但其背后的致病机制还有待阐明。本文就与PFE发病相关的热点基因PTH1R信号缺陷与破骨细胞功能、牙囊发育、牙槽骨形成、牙周膜形成、牙根形成的研究现状进行综述,意为PFE的病因遗传学及分子机制的研究提供参考。

关键词：原发性牙齿萌出障碍甲状旁腺激素受体1 破骨细胞牙囊牙槽骨牙周膜

中国茧丝绸行业2016年运行分析及2017年展望

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丝绸 2017年第6期54卷 1-7页

作者：刘文全余月琳柳恩见中国丝绸协会北京100034 浙江理工大学材料与纺织学院丝绸学院杭州310018

从蚕茧产量、工业运行、丝绸产品外贸出口、茧丝交易价格四方面着手,对2016年中国茧丝绸行业的基本运行情况进行分析,指出2016年丝绸行业在原料价格上升、出口额度下降等困境中仍能保持行业经济平稳运行的原因。在此基础上,预测2017年... 详细信息

从蚕茧产量、工业运行、丝绸产品外贸出口、茧丝交易价格四方面着手,对2016年中国茧丝绸行业的基本运行情况进行分析,指出2016年丝绸行业在原料价格上升、出口额度下降等困境中仍能保持行业经济平稳运行的原因。在此基础上,预测2017年行业将会步入外贸形势谨慎乐观,内需市场稳步增长,行业结构性矛盾仍存的状态。并建议茧丝绸全行业要认真贯彻落实商务部发布的《茧丝绸行业"十三五"发展纲要》精神,推进行业供给侧结构性改革、增强科技创新和应用能力、强化茧丝绸自主品牌建设、促进产业和文化融合发展、加大对外合作贸易渠道的开拓力度。

关键词：茧丝绸行业运行分析发展趋势对策建议中国

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融入小生境和混合变异策略的鲸鱼优化算法

计算机工程与应用 2024年第10期60卷 88-104页

作者：于涛高岳林北方民族大学计算机科学与工程学院银川750021 宁夏智能信息与大数据处理重点实验室(北方民族大学) 银川750021

鲸鱼优化算法作为一种结构简单的先进优化算法,被用于解决各类学科问题。通过对鲸鱼优化算法进行深入研究,发现该算法存在收敛速度慢、无法跳出局部最优、收敛精度低以及无法平衡全局勘探与局部开发能力等问题。为解决上述问题,提出一... 详细信息

鲸鱼优化算法作为一种结构简单的先进优化算法,被用于解决各类学科问题。通过对鲸鱼优化算法进行深入研究,发现该算法存在收敛速度慢、无法跳出局部最优、收敛精度低以及无法平衡全局勘探与局部开发能力等问题。为解决上述问题,提出一种融入小生境和混合变异策略的鲸鱼优化算法(whale optimization algorithm integrating niche and hybrid mutation strategy,NHWOA)。该算法通过引入自适应权重,平衡算法全局勘探与局部开发能力,并加快收敛速度;将种群按照相同规模划分成三个小生境并独立寻优,提高种群多样性;采用混合变异策略对种群进行随机扰动,帮助算法跳出局部最优。通过在CEC2017测试套件上对NHWOA进行仿真实验,并将其应用于特征选择问题,验证了NHWOA的先进性和有效性。NHWOA的收敛速度更快,收敛精度更高,并且鲁棒性更好。

关键词：鲸鱼优化算法小生境混合变异自适应权重特征选择