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上海交通大学学报（英文版）
上海交通大学学报（英文版）

郑杭

双月刊

1007-1172

xuebao2006@sjtu.edu.cn

021-62933373

200030

上海市华山路1954号上海交通大学

上海交通大学学报（英文版）/Journal Journal of Shanghai Jiaotong University(Science)EI
查看更多>>本刊是由上海交通大学主办的自然科学综合性学术期刊。它以马列主义、毛泽东思想和邓小平理论为指导。以促进科学技术发展、培育科技人才、为社会主义现代化建设服务为宗旨。本刊主要刊载船舶与海洋工程、动力、机械、能源、材料、电气、电子、计算机、化工、生物工程、管理科学，以及数学、物理、工程力学等方面的最新研究成果。本刊为中国自然科学核心期刊和中国科技论文统计用刊源之一。
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    Prediction of Pediatric Sepsis Using a Deep Encoding Network with Cross Features

    陈潇张瑞汤心溢钱娟...
    131-140页
    查看更多>>摘要：Sepsis poses a serious threat to health of children in pediatric intensive care unit.The mortality from pediatric sepsis can be effectively reduced through in-time diagnosis and therapeutic intervention.The bacilliculture detection method is too time-consuming to receive timely treatment.In this research,we propose a new framework:a deep encoding network with cross features(CF-DEN)that enables accurate early detection of sepsis.Cross features are automatically constructed via the gradient boosting decision tree and distilled into the deep encoding network(DEN)we designed.The DEN is aimed at learning sufficiently effective representation from clinical test data.Each layer of the DEN filtrates the features involved in computation at current layer via attention mechanism and outputs the current prediction which is additive layer by layer to obtain the embedding feature at last layer.The framework takes the advantage of tree-based method and neural network method to extract effective representation from small clinical dataset and obtain accurate prediction in order to prompt patient to get timely treatment.We evaluate the performance of the framework on the dataset collected from Shanghai Children's Medical Center.Compared with common machine learning methods,our method achieves the increase on F1-score by 16.06％on the test set.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Psychological Impact of the 2022 Round COVID-19 Pandemic on China's College Students

    洪冬羊王金霞张虹洋曹紫阳...
    141-149页
    查看更多>>摘要：In response to the new round of COVID-19 outbreaks since March 2022,universities with high outbreak rates around the country have taken quarantine measures to contain the epidemic.Evidence from previous coronavirus outbreaks has shown that people under quarantine are at risk for mental health disorders.To better understand the impacts of this round of COVID-19 quarantine on domestic college students and their responses,we conducted a systematic survey to assess the stress and anxiety,and to evaluate effective measurements in this population.We searched relevant documents and literature,and designed a questionnaire from six aspects,including psychological status,epidemic situation,study,daily life,sports,and interpersonal communication,with 51 items in total.We sent the questionnaire on the Wenjuanxing Web platform,from April 2 to 8,2022.We evaluated the mental status according to parts of the Generalized Anxiety Disorder-7(GAD-7)and Depression Anxiety Stress Scales-21(DASS-21),and investigated the influencing risk factors and countermeasures.Statistical analysis was performed by using the Chi-square test and multi-variable logistic regression.In total,508 college respondents were recruited in our survey,and the pooled prevalence of mild anxiety(GAD score≥5,or DASS-21 anxiety score ≥ 8)or stress(DASS-21 pressure score ≥ 14)caused by the new round of COVID-19 pandemic quarantine was 19.69％(100/508).The prevalence of the anxiety or stress in college students with COVID-19 quarantine between different genders,regions,and majors was not significantly different.Independent risk factors for the mild anxiety or stress of undergraduates by COVID-19 quarantine included learning efficiency or duration[OR=1.36,95％CI(1.14-1.62),P=0.001],based on the combined analysis of Chi-square test analysis with multi-variable logistic regression analysis.Interestingly,the mental well-beings before COVID-19 epidemic quarantine[OR=0.22,95％CI(0.13-0.36),P＜0.000 1],more low-intensity exercise[OR=0.36,95％CI(0.15-0.87),P=0.02,high-intensity exercise as reference],and good sleep quality[OR=0.14,95％CI(0.07-0.30),P＜0.0001:OR=0.42,95％CI(0.30-0.59),P＜0.0001]are protective factors for alleviating the quarantine-caused anxiety or stress in Chinese college students for this round of COVID-19 epidemic quarantine.During the round of COVID-19 epidemic quarantine in 2022,a small number of college students have mild anxiety,affected by decreased learning efficiency or duration,which could be mitigated with low-intensity exercise and good sleep quality.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Social Network Analysis of COVID-19 Research and the Changing International Collaboration Structure

    秦野陈蓉蓉
    150-160页
    查看更多>>摘要：Research in Information Science and interdisciplinary areas suggested the formation of a growing network of international research collaboration.The massive transmission of COVID-19 worldwide especially after the identification of the Omicron variant could fundamentally alter the factors shaping the network's development.This study employs network analysis methods to analyze the structure of the COVID-19 research collaboration from 2020 to 2022,using two major academic publication databases and the VOSviewer software.A novel temporal view is added by examining the dynamic changes of the network,and a fractional counting method is adopted as methodological improvements to previous research.Analysis reveals that the COVID-19 research network structure has undergone substantial changes over time,as collaborating countries and regions form and re-form new clusters.Transformations in the network can be partly explained by key developments in the pandemic and other social-political events.China as one of the largest pivots in the network formed a relatively distinct cluster,with potential to develop a larger Asia-Pacific collaboration cluster based on its research impact.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普