عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شماره کتابشناسی ملی
شماره
TL51313
زبان اثر
زبان متن نوشتاري يا گفتاري و مانند آن
انگلیسی
عنوان و نام پديدآور
عنوان اصلي
Multiscale Spatio-Temporal Modeling of Cell Population in Tissue Architecture and Drug Delivery Nanoparticles
نام عام مواد
[Thesis]
نام نخستين پديدآور
Islam, Mohammad Aminul
نام ساير پديدآوران
Barua, Dipak
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
Missouri University of Science and Technology
تاریخ نشرو بخش و غیره
2019
يادداشت کلی
متن يادداشت
129 p.
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
Ph.D.
کسي که مدرک را اعطا کرده
Missouri University of Science and Technology
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Multiscale nature of a biological system span at many order of magnitudes in time and space. Molecular interaction at lower scale is connected with the higher scale behavior of tissue or organism. Integrating the dynamics and information at different time and space can give a fundamental physiological understanding of the higher level phenomena. But complex features, functions, interconnectivity between different scales and lack of information on the fundamental physiological property make the model difficult and computationally challenging. The multiscale modeling approach can bridge the gap between different scale by a systemic integration of the complex dynamic behavior. Here, the focus is on developing multiscale modeling approaches to study the dynamic behavior of tissue. First, a multiscale spatiotemporal model is designed to investigate the tissue scale dispersion and penetration of nanoparticles from lower scale particle-cell interaction. The results obtained suggest that the size of nanoparticles may play less significant roles in tissue scale penetration and dispersion. The effect of nanoparticle size is less prominent due to the presence of particle-cell interaction and advection. This scalable spatiotemporal model can simulate the dynamics of drug delivery particles in the extracellular domain of a tissue. Furthermore, a parallel framework is developed to study the collective behavior of the cell population in a tissue architecture from their intracellular and extracellular reaction kinetics. The framework can model population dynamics at the tissue scale from a single cell biochemical reaction network accurately and efficiently. Finally, the framework's capability is demonstrated by simulating a full-scale model of bacterial quorum sensing, where the dynamics of a population of bacterial cells is dictated by the intercellular communications in a time-evolving growth environment.
اصطلاحهای موضوعی کنترل نشده
اصطلاح موضوعی
Biology
اصطلاح موضوعی
Chemical engineering
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Islam, Mohammad Aminul
نام شخص - ( مسئولیت معنوی درجه دوم )
مستند نام اشخاص تاييد نشده
Barua, Dipak
شناسه افزوده (تنالگان)
مستند نام تنالگان تاييد نشده
Missouri University of Science and Technology
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب وضعیت انتشار
فرمت انتشار
p
اطلاعات رکورد کتابشناسی
نوع ماده
[Thesis]
کد کاربرگه
276903
اطلاعات دسترسی رکورد
سطح دسترسي
a
تكميل شده
Y
