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EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation

BIG DATA MINING AND ANALYTICS 2024年第3期7卷 668-681页

作者： Meng, Qiaozhen Lyu, Yinuo Peng, Xiaoqing xu, junhai Tang, Jijun Guo, Fei Tianjin Univ Coll Intelligence & Comp Sch Comp Sci & Technol Tianjin 300350 Peoples R China Aeronaut Informat Serv Ctr Civil Aviat Adm China A Beijing 100015 Peoples R China Cent South Univ Ctr Med Genet Changsha 410038 Peoples R China Cent South Univ Sch Life Sci Hunan Key Lab Med Genet Changsha 410038 Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518000 Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha 410083 Peoples R China

Prediction of enhancer-promoter interactions (EPIs) is key to regulating gene expression and diagnosing genetic diseases. Due to limited resolution, biological experiments perform not as well as expected while precisely identifying specific interactions, giving rise to computational biology approaches. Many EPI predictors have been developed, but their prediction accuracy still needs to be enhanced. Here, we design a new model named EPIMR to identify enhancer-promoter interactions. First, Hilbert Curve is utilized to represent sequences to images to preserve the position and spatial information. Second, a multi-scale residual neural network (ResNet) is used to learn the distinguishing features of different abstraction levels. Finally, matching heuristics are adopted to concatenate the learned features of enhancers and promoters, which pays attention to their potential interaction information. Experimental results on six cell lines indicate that EPIMR performs better than existing methods, with higher area under the precision-recall curve (AUPR) and area under the receiver operating characteristic (AUROC) results on benchmark and under-sampling datasets. Furthermore, our model is pre-trained on all cell lines, which improves not only the transferability of cross-cell line prediction, but also cell line-specific prediction ability. In conclusion, our method serves as a valuable technical tool for predicting enhancer-promoter interactions, contributing to the understanding of gene transcription mechanisms. Our code and results are available at https://***/guofei-tju/EPIMR.

关键词： enhancer-promoter interactions Hilbert Curve multi-scale residual neural network (ResNet) enhancer-promoter interactions Hilbert Curve multi-scale residual neural network (ResNet)

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Myocardial Oxygenation Response to Stress Performing a Single-set Compared to Volume-Matched Multiple-Set of Leg Press in Untrained Young Adults

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Journal of Science in Sport and Exercise 2023年第2期5卷 174-181页

作者： junhai xu Arnold G.Nelson James J.Tufano Juntao Wang School of Kinesiology Louisiana State UniversityBaton RougeLouisianaUSA Faculty of Physical Education and Sport Charles UniversityPragueCzech Republic School of Sport Economic and Management Central University of Finance&EconomicsBeijingP.R.China

Background Debates exist about the preference for single-or multiple-set resistance exercise(RE)on achieving similar training outcome,however,no study examined their effects on the heart,thus,this study was to examine the effect of volume-matched single-and multiple-set RE on the myocardial response through examining rate pressure product(RPP).Methods Fourteen healthy untrained college students performed two leg press exercises(4×10 and 1×40 at 150%body mass)on different days,and each was performed twice in a counterbalanced crossover ***-and post-exercise SBP and HR were measured by auscultatory method,RPP was calculated as SBP×HR×10^(-3),RPP difference(RPPdiff)was calcu-lated by post-exercise RPP subtracting pre-exercise *** Single-set post-exercise RPP(17.48±3.16 mmHg·beats/min),HR(123.86±20.25 beats/min)was significantly greater than multiple-set post-exercise RPP(13.66±3.04 mmHg·beats/min),HR(101.61±19.14 beats/min),*** was no significant difference of SBP(141.07±9.37 vs.134.29±15.16 mmHg)between exercise protocols(P=0.13).The RPPdiff of single-set(6.74±2.86 mmHg·beats/min)was significantly greater than that of multiple-set(3.62±2.90 mmHg·beats/min)(P<0.001).Conclusions Single-set RE exerts a greater myocardial oxygenation response as compared to multiple-set,HR contributed more than SBP to the increase of RPP in *** results indicate that single-set RE can be warranted when wanting to train the heart,while multiple-set RE would appear best for those who should avoid heart stress.

关键词： Myocardial oxygen consumption Rate pressure product Heart rate Systolic blood pressure Resistance exercise

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Brain network modeling analysis of the audio-visual information integration of the Chinese polyphonic character

Brain network modeling analysis of the audio-visual informat...

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第十三届全国人机语音通讯学术会议(NCMMSC2015)

作者： Shasha Fu Gaoyan Zhang junhai xu Jianwu Dang School of Computer Science and Technology Tianjin University Tianjin Key Laboratory of Cognitive Computing and Application

In the study of Chinese language, many previous studies investigated the cognitive mechanism of homophone, homograph and synonymy. However, the audio-visual information integration mechanism of the polyphone is still unclear. In this study, the electroencephalogram(EEG) signals were collected from 16 subjects when they read and listened to the polyphone simultaneously. Based on the theory of complex network, we built the EEG functional network, then calculated the network indexs and their correlation with the behaviors. Results showed that the human brain was a small-world network, and there was a negative correlation of the betweenness of T3 and Cz nodes with the reaction time. Based on the previous studies, we infer that T3 which occupys the temporal lobe may participate in the process of semantic information extraction, and Cz that occupys the central area may be associated with the integration and cognition of language.

关键词： Polyphone brain network modeling audio-visual information integration EEG

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构建现代人才发展治理体系的逻辑与路径--基于“主体-要素-过程”分析框架

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江海学刊 2020年第3期 91-96,254页

作者：徐军海江苏省社科联科研中心

我国人才发展治理改革经过多年实践已取得明显成效,但还存在治理边界模糊、治理资源松散、治理运行低效等突出问题。构建现代人才发展治理体系,不仅是新时代破解人才发展现实困境的内在要求,而且是实现国家治理体系和治理能力现代化的... 详细信息

我国人才发展治理改革经过多年实践已取得明显成效,但还存在治理边界模糊、治理资源松散、治理运行低效等突出问题。构建现代人才发展治理体系,不仅是新时代破解人才发展现实困境的内在要求,而且是实现国家治理体系和治理能力现代化的基石。借鉴公共治理理论构建的"主体-要素-过程"协同治理框架,有助于深刻理解构建现代人才发展治理体系的内在逻辑。构建现代人才发展治理体系须准确把握人才发展治理体系现代化的衡量标准,系统探讨相应的推进路径,包括强化党组织整合功能、健全横向协调治理机制、提升多元主体治理能力、完善技术变革治理基础等。

关键词：人才发展治理体系协同治理现代化

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Brain network modeling analysis of the cross-modal integration modulated by auditory attention

Brain network modeling analysis of the cross-modal integrati...

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第十三届全国人机语音通讯学术会议(NCMMSC2015)

作者： Yidan Sun junhai xu Hongyan Wang Gaoyan Zhang Jianwu Dang School of Computer Science and Technology Tianjin University

There are many brain network studies in auditory attention or visual attention, the mechanisms of cross-modal integration remain *** our study, we collected EEG data from 16 healthy subjects, using a combined auditory spatial attention and cross-modal priming paradigm. Then we constructed the functional brain networks in different conditions: Attention/no-attention, semantically-congruent/semantically-incongruent. The topological properties were calculated for each subject, and then the statistical analysis was conducted to explore the difference between distinct conditions. Our study found that the connectivity in no-attention condition was stronger, and the small-worldness for semantically-congruent condition was larger, which suggested that the capacity of information processing was more effective. Moreover, the correlation analysis discovered that there was a significant correlation between the local efficiency of functional brain networks and their behavioral performance.

关键词： Auditory attention Cross-modal semantics Brain network modeling EEG

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Brain network modeling analysis of the cross-modal integration modulated by auditory attention

Brain network modeling analysis of the cross-modal integrati...

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第十三届全国人机语音通讯学术会议(NCMMSC2015)

作者： junhai xu Yidan Sun Hongyan Wang Gaoyan Zhang Baolin Liu Jianwu Dang School of Computer Science and Technology Tianjin University Tianjin Key Laboratory of Cognitive Computing and Application

Researchers have put more attention on the functional brain networks. Under the influence of the human genome, scientists in brain science have developed the human brain connectome, which greatly promoted the study of human brain function network. Although, there are many brain network studies in auditory attention or visual attention, the mechanisms of cross-modal integration remain unclear. Our study is based on inter-modal semantic integration. To explore the neuronal patterns in specific cognitive conditions, we designed the EEG experiment based on our previous study. We applied the brain network modeling to the EEG data in order to explore the cross-modal integration modulated by spatial attention. In our study, we collected EEG data from 16 healthy subjects, using a combined auditory spatial attention and cross-modal priming paradigm. Subjects are constructed to see the picture on the screen, and concentrate on the one side(left ear or right ear), and then hear two voices, divided into left and right, then they judged whether the sound and picture in the attention side are consistent or not, and pressed the button to make the appropriate judgments. Then we constructed the functional brain networks in different conditions: Attention/no-attention, semantically-congruent/semantically-incongruent. The topological properties were calculated for each subject, and then the statistical analysis was conducted to explore the difference between distinct conditions. Our study found that the connectivity in no-attention condition was stronger, and the small-worldness for semantically-congruent condition was larger, which suggested that the capacity of information processing was more effective. Moreover, the correlation analysis discovered that there was a significant correlation between the local efficiency of functional brain networks and their behavioral performance. In conclusion, the brain network modeling analysis in the cross-modal integration modulated by auditory a

关键词： Auditory attention Cross-modal semantics Brain network modeling EEG

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基于三螺旋理论的全日制工程硕士生培养模式探析

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学位与研究生教育 2010年第9期 23-27页

作者：徐军海江莹河海大学研究生院招生办公室南京大学研究生院招生办公室

通过对全日制工程硕士教育的背景与目标辨识,在讨论传统培养环境局限性的基础上,提出了基于三螺旋理论的全日制工程硕士生培养模式,分析了政府、大学和企业在培养模式中的角色定位和运作方式,并提出进一步发展全日制工程硕士生培养模式... 详细信息

通过对全日制工程硕士教育的背景与目标辨识,在讨论传统培养环境局限性的基础上,提出了基于三螺旋理论的全日制工程硕士生培养模式,分析了政府、大学和企业在培养模式中的角色定位和运作方式,并提出进一步发展全日制工程硕士生培养模式的几点思考。

关键词：三螺旋理论全日制工程硕士培养环境培养模式研究生教育

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基于扎根理论的创业类人才项目绩效评价结构模型及指标体系研究——以江苏省“双创计划”创业类人才项目为例

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河海大学学报（哲学社会科学版） 2019年第4期21卷 59-65,107页

作者：徐军海施学哲王品亮江苏省哲学社会科学界联合会江苏南京210004 河海大学科技处江苏南京210098 江苏省生产力促进中心江苏南京210042

人才是经济社会发展的第一资源。近年来,各级政府围绕创新驱动发展战略目标和产业转型升级现实需要,有针对性地推出了一系列人才计划。如何检验和评估人才计划实施成效,进一步推动人才计划提质增效、激发人才创新创造活力是一个具有重... 详细信息

人才是经济社会发展的第一资源。近年来,各级政府围绕创新驱动发展战略目标和产业转型升级现实需要,有针对性地推出了一系列人才计划。如何检验和评估人才计划实施成效,进一步推动人才计划提质增效、激发人才创新创造活力是一个具有重要现实意义的课题。针对人才计划中的创业类人才项目,以江苏省“双创计划”创业类人才项目为例,运用扎根理论对“双创计划”政策文本资料和25个创业类人才项目访谈数据进行开放式、主轴式和选择式编码,借助“过程+结果”双绩效观,提炼创业类人才项目绩效评价的EVG结构维度模型,以此为基础构建创业类人才项目绩效评价指标体系。这一研究对于科学标准地量化评价创业类人才项目的发展质量,进而采取更具针对性的人才集聚措施具有重要参考意义。

关键词：扎根理论创业类人才项目 EVG结构维度模型绩效评价指标体系 “双创计划”

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科技人才集聚能够促进区域绿色发展吗

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现代经济探讨 2021年第12期 116-125页

作者：徐军海黄永春江苏省社科联南京210004 河海大学商学院南京211100

绿色发展作为经济高质量发展的新引擎,是生态文明建设的必然要求,也是缓解现阶段中国社会主要矛盾的重要举措之一,而科技人才支撑绿色技术创新及应用则是实现绿色发展的稳定驱动力。通过分析科技人才集聚、创新能力提升与区域绿色发展... 详细信息

绿色发展作为经济高质量发展的新引擎,是生态文明建设的必然要求,也是缓解现阶段中国社会主要矛盾的重要举措之一,而科技人才支撑绿色技术创新及应用则是实现绿色发展的稳定驱动力。通过分析科技人才集聚、创新能力提升与区域绿色发展三者之间的理论机制,并运用2010-2017年中国30个省、市、自治区的面板数据,对三者之间的关系进行了实证分析。研究发现:科技人才集聚对区域绿色发展有显著的正向影响,而创新能力提升在科技人才集聚和区域绿色发展中具有显著的中介效应,且创新产出能力的中介效应比创新投入能力的更强;创新能力对区域绿色发展的正向作用受到科技人才集聚双重门槛效应的影响,且影响效应大致呈现“U”型变化趋势;东部地区科技人才集聚对绿色发展有显著促进作用,而中、西部地区科技人才集聚对绿色发展的影响不显著。

关键词：绿色发展科技人才创新能力中介效应

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为什么中国缺少学术型企业家?——基于“认知目的”论

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科研管理 2021年第6期42卷 139-149页

作者：黄永春徐军海徐高彦河海大学商学院江苏南京211100 江苏省“世界水谷”与水生态文明协同创新中心江苏南京211100 江苏省社科联社科研究中心江苏南京210013

我国匮乏既擅长技术研发又懂经营管理的学术型企业家,不仅制约了我国科技成果转化,而且制约了我国新兴产业的发展。本研究基于"认知-目的"论,揭示了我国科研人员学术创业的驱动机制;进而探究了我国科研人员学术创业行为的类型与特征,包... 详细信息

我国匮乏既擅长技术研发又懂经营管理的学术型企业家,不仅制约了我国科技成果转化,而且制约了我国新兴产业的发展。本研究基于"认知-目的"论,揭示了我国科研人员学术创业的驱动机制;进而探究了我国科研人员学术创业行为的类型与特征,包括内摄传统型、认同转换型和整合创业型。在此基础上,构建了基于人力资本积累的两阶段职业生涯选择的数理模型;进而结合实证分析,解析了我国缺少学术型企业家的制约因素。研究结果表明:(1)尽管学术创业具有较高的预期效益,但是学术创业的风险和转换成本较高;因此需要营造有利于学术创业的氛围,降低学术创业的成本和风险,改善学术创业的社会环境。(2)当科研人员学术创业的社会效益较高,并且学术创业的转换成本较低时,科研人员可能会转型为学术企业家。(3)当科研人员的非科研技能获取成本较高时,并且社会的创业环境不够完善时,科研人员会选择风险规避策略,即放弃学术创业,转而从事学术研究。

关键词：认知目的论内摄传统型认同转换型整合创业型

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