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应用数学与计算数学学报最新文献

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The release mechanism of BDNF: Synthesis, processing, sorting and release BDNF的释放机制:合成、加工、分类和释放
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/5.0112467
Qingyi Lin
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引用次数: 0
Forecasting domestic ship passengers in the Makassar Port using feed-forward neural network and SARIMAX 基于前馈神经网络和SARIMAX的望加锡港国内客运量预测
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/5.0115296
N. Fitriyati, M. Wijaya, M. I. F. Pagri, Nur Inayah
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引用次数: 0
COMT, DRD1, DRD2, DRD4: Genetic evidence for the dopamine hypothesis in schizophrenia COMT, DRD1, DRD2, DRD4:精神分裂症多巴胺假说的遗传证据
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/5.0112965
Daiyun Dong
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引用次数: 0
Calendar variation model for ticket sales forecasting at Kayangan Port, East Lombok 东龙目岛卡扬干港门票销售预测的日历变化模型
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/5.0115066
Aris Aswadi, M. Hadijati, I. W. Wardhana
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引用次数: 1
The complement bi-metric dimension of graphs 图的补双度量维数
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/5.0131825
Jafna Kamalia Sundusia, Rinurwati
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引用次数: 0
Correlation analysis between expression levels of BRCA1 and SQLE in cross-subtype diversity of breast cancer and prognosis BRCA1与SQLE表达水平与乳腺癌跨亚型多样性及预后的相关性分析
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/5.0111833
Sumeng Qi
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引用次数: 0
Applications and challenges for CRISPR/Cas9-mediated gene editing CRISPR/ cas9介导的基因编辑的应用和挑战
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/5.0115407
Gan Zhiyang
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引用次数: 0
The complement edge metric dimension of graphs 图的补边度量维数
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/5.0131823
N. M. Rosyidah, Rinurwati
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引用次数: 0
Preface: International Conference on Biological Engineering and Medical Science (ICBioMed) 前言:国际生物工程与医学会议(ICBioMed)
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/12.0012966
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引用次数: 0
The time between the onset of COVID-19 and the death COVID-19发病和死亡之间的时间
应用数学与计算数学学报
Pub Date : 2022-01-01 DOI: 10.1063/5.0115087
Minhao Liang, Feiyan Song, Jiaqi Li, Hongyi Xu
The main pandemic this year around the world can be regarded as COVID-19, an extremely serious virus that negatively affect many people. In order to better deal with the virus to save more lives, it is necessary to discover the relationship between the cases and deaths of COVID-19 to promote the plan to prevent and treat people in a desirable time. In this work, the research mainly focusses on the length of the apparent lag between cases and deaths to help governments and organizations in prevention and treatment. As the state with most cases and deaths, the study of the United States is deemed to be typical for the observation whole world. This work focuses on 4 representative states in the America (Michigan, Arizona, Hawaii, Connecticut) to conclude that the time between the onsite of COVID-19 to death is about one to two months through multiple data analysis techniques including linear regression model, time lag analysis to assist the formulation of the plan in prevention and treatment. © 2022 Author(s).
今年世界范围内的主要流行病可以视为COVID-19，这是一种对许多人产生负面影响的极其严重的病毒。为了更好地应对病毒，挽救更多的生命，有必要发现COVID-19病例和死亡之间的关系，以促进在理想的时间预防和治疗人们的计划。在这项工作中，研究主要集中在病例和死亡之间的明显滞后长度，以帮助政府和组织进行预防和治疗。作为病例和死亡人数最多的国家，美国的研究被认为是观察全世界的典型。本研究以美国4个具有代表性的州(密歇根州、亚利桑那州、夏威夷州、康涅狄格州)为研究对象，通过线性回归模型、时滞分析等多种数据分析技术，得出从现场到死亡的时间约为1 - 2个月，以辅助制定防治方案。©2022作者。
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引用次数: 0
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