Research Initiation Award: Studying the Dynamics of Network Systems by Using Ordinary Differential Equations and Boolean Frameworks

研究启动奖:利用常微分方程和布尔框架研究网络系统的动力学

基本信息

  • 批准号:
    1800406
  • 负责人:
  • 金额:
    $ 28.32万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-05-01 至 2024-04-30
  • 项目状态:
    已结题

项目摘要

Research Initiation Awards provide support for junior and mid-career faculty at Historically Black Colleges and Universities who are building new research programs or redirecting and rebuilding existing research programs. It is expected that the award helps to further the faculty member's research capability and effectiveness, improves research and teaching at the home institution, and involves undergraduate students in research experiences. The award to Texas Southern University has potential broader impacts in a number of areas. The goal of the project is to better understand the relationships between the structures of network systems and their dynamics. Undergraduate students will gain research experiences and the research will be integrated in a number of undergraduate courses.The research goal of this proposed study is to decipher the relationships between the architecture of network systems and their dynamics in the context of biological network systems, gene regulatory networks and neuronal networks in particular. Based on two popular modeling frameworks, Boolean networks and coupled ordinary differential equations (ODEs), this proposed study will use both numerical and analytical methods to address the following questions: What are the necessary conditions on the principle parameters in an ODE system so that a network will achieve certain target dynamics? In the context of gene regulatory networks, what are the general bifurcations with a given network architecture? What are the possible effects of missing interactions on the dynamics of networks? The potential results will facilitate the modeling and analysis of mathematical models in biology. The study will also address a problem rising from the binocular rivalry phenomenon: Can mechanisms accounting for the dynamics of bistable perceptual rivalry be extended to multi-stable perceptual rivalry? Potential results will add to knowledge on the functions of our brain.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
研究启动奖为历史上黑人学院和大学的初级和中级职业教师提供支持,他们正在建立新的研究项目或重新定向和重建现有的研究项目。预计该奖项将有助于进一步提高教师的研究能力和效率,改善家庭机构的研究和教学,并使本科生参与研究经验。授予德克萨斯南方大学的奖项在许多领域具有潜在的更广泛的影响。该项目的目标是更好地了解网络系统的结构和它们的动态之间的关系。本科生将获得研究经验和研究将被整合到一些本科courses.This拟议研究的研究目标是破译网络系统的架构和它们的动力学在生物网络系统,基因调控网络和神经网络的背景下,特别是之间的关系。基于两个流行的建模框架,布尔网络和耦合常微分方程(ODE),这项研究将使用数值和分析方法来解决以下问题:在一个ODE系统的主参数的必要条件是什么,使网络将实现一定的目标动态?在基因调控网络的背景下,给定的网络结构的一般分叉是什么?缺失的相互作用对网络的动力学有什么可能的影响?潜在的结果将有助于生物学数学模型的建模和分析。这项研究还将解决一个问题,从双目竞争现象:机制占动态的双稳态感知竞争扩展到多稳定的感知竞争? 潜在的结果将增加对我们大脑功能的了解。该奖项反映了NSF的法定使命,并且通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Discovering Nonlinear Dynamics Through Scientific Machine Learning
  • DOI:
    10.1007/978-3-030-82193-7_17
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lei Huang;D. Vrinceanu;Yunjiao Wang;N. Kulathunga;N. R. Ranasinghe
  • 通讯作者:
    Lei Huang;D. Vrinceanu;Yunjiao Wang;N. Kulathunga;N. R. Ranasinghe
The logic behind neural control of breathing pattern
  • DOI:
    10.1038/s41598-019-45011-7
  • 发表时间:
    2019-06-24
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Ben-Tal, Alona;Wang, Yunjiao;Leite, Maria C. A.
  • 通讯作者:
    Leite, Maria C. A.
From Boolean networks to linear dynamical systems: a simplified route
Symmetry of generalized rivalry network models determines patterns of interocular grouping in four-location binocular rivalry
  • DOI:
    10.1152/jn.00438.2019
  • 发表时间:
    2019-11-01
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Golubitsky, Martin;Zhao, Yukai;Lu, Zhong-Lin
  • 通讯作者:
    Lu, Zhong-Lin
Effects of Nonlinearity and Network Architecture on the Performance of Supervised Neural Networks
  • DOI:
    10.3390/a14020051
  • 发表时间:
    2021-02-01
  • 期刊:
  • 影响因子:
    2.3
  • 作者:
    Kulathunga, Nalinda;Ranasinghe, Nishath Rajiv;Wang, Yunjiao
  • 通讯作者:
    Wang, Yunjiao
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Yunjiao Wang其他文献

IMPACT OF GLUCOSE MANAGEMENT TEAM ON OUTCOMES OF HOSPITALIZARON IN PATIENTS WITH TYPE 2 DIABETES ADMITTED TO THE MEDICAL SERVICE.
血糖管理团队对接受医疗服务的 2 型糖尿病患者住院结果的影响。
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    Yunjiao Wang;S. Seggelke;R. M. Hawkins;Joanna Gibbs;Mark C. Lindsay;Ingrid Hazlett;Cecilia C. Low Wang;Neda Rasouli;K. Young;B. Draznin
  • 通讯作者:
    B. Draznin
Glycemic control and outcomes of hospitalization in noncritically ill patients with type 2 diabetes admitted with cardiac problems or infections.
患有心脏问题或感染的 2 型糖尿病非重症患者的血糖控制和住院结果。
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    B. Draznin;Yunjiao Wang;S. Seggelke;R. M. Hawkins;Joanna Gibbs;Mark Bridenstine;Neda Rasouli;C. Wang
  • 通讯作者:
    C. Wang
Single-Molecule Study on Interactions between Cyclic Nonribosomal Peptides and Protein Nanopore
环状非核糖体肽与蛋白质纳米孔相互作用的单分子研究
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shuo Zhou;Han Wang;Xiaohan Chen;Yunjiao Wang;Daming Zhou;Liyuan Liang;Liang Wang;Deqiang Wang;Xiyun Guan
  • 通讯作者:
    Xiyun Guan
Slowing down DNA translocation velocity using a LiCl salt gradient and nanofiber mesh
使用 LiCl 盐梯度和纳米纤维网减慢 DNA 易位速度
  • DOI:
    10.1007/s00249-019-01350-x
  • 发表时间:
    2019-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Han Yan;Daming Zhou;Biao Shi;Ziyin Zhang;Haibin Tian;Leyong Yu;Yunjiao Wang;Xiyun Guan;Zuobin Wang;Deqiang Wang
  • 通讯作者:
    Deqiang Wang
Nanopore efficiently identifies hepatitis D virus antigens emin vitro/em assay
纳米孔有效地识别乙型肝炎病毒抗原EMIN EMIN/EM测定
  • DOI:
    10.1016/j.mtphys.2024.101479
  • 发表时间:
    2024-08-01
  • 期刊:
  • 影响因子:
    9.700
  • 作者:
    Lingyu Zhao;Yingying Deng;Yunjiao Wang;Shuo Zhou;Bohua Yin;Yunhao Chen;Yan Wang;Jing Li;Lebing Wang;Yong Lin;Liang Wang
  • 通讯作者:
    Liang Wang

Yunjiao Wang的其他文献

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{{ truncateString('Yunjiao Wang', 18)}}的其他基金

Excellence in Research: Collaborative Research: Strengthen the Foundation of Big Data Analytics via Interdisciplinary Research among HBCUs
卓越研究:合作研究:通过 HBCU 之间的跨学科研究加强大数据分析的基础
  • 批准号:
    1831980
  • 财政年份:
    2018
  • 资助金额:
    $ 28.32万
  • 项目类别:
    Standard Grant

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  • 批准号:
    2300319
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    2023
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    2247163
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Research Initiation Award: A GNN+BiMCLSTM Based Framework to Model, Predict, and Traceback Malware Strains
研究启动奖:基于 GNN BiMCLSTM 的框架,用于建模、预测和追溯恶意软件菌株
  • 批准号:
    2300405
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    2023
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Research Initiation Award: Uncovering and Extracting Biological Information from Nanopore Long-read Sequencing Data with Machine Learning and Mathematical Approaches
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Research Initiation Award: Implementing the Next-Generation IoT Ecosystem with AI Capabilities
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