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Full-Text Articles in Medicine and Health Sciences

Network Analysis Of Scientific Collaboration And Co-Authorship Of The Trifecta Of Malaria, Tuberculosis And Hiv/Aids In Benin., Gbedegnon Roseric Azondekon Aug 2018

Network Analysis Of Scientific Collaboration And Co-Authorship Of The Trifecta Of Malaria, Tuberculosis And Hiv/Aids In Benin., Gbedegnon Roseric Azondekon

Theses and Dissertations

Despite the international mobilization and increase in research funding, Malaria, Tuberculosis and HIV/AIDS are three infectious diseases that have claimed more lives in sub Saharan Africa than any other place in the World. Consortia, research network and research centers both in Africa and around the world team up in a multidisciplinary and transdisciplinary approach to boost efforts to curb these diseases. Despite the progress in research, very little is known about the dynamics of research collaboration in the fight of these Infectious Diseases in Africa resulting in a lack of information on the relationship between African research collaborators. This dissertation …


Quantitative Phenotype Analysis To Identify, Validate And Compare Rat Disease Models, Yiqing Zhao May 2018

Quantitative Phenotype Analysis To Identify, Validate And Compare Rat Disease Models, Yiqing Zhao

Theses and Dissertations

Introduction

The laboratory rat has been widely used as an animal model in biomedical research. There are many strains exhibiting a wide variety of phenotypes. Capturing these phenotypes in a centralized database provides researchers with an easy method for choosing the appropriate strains for their studies. Current resources such as NBRP and PhysGen provided some preliminary work in rat phenotype databases. However, there are drawbacks in both projects: (1) small number of animals (6 rats) used by NBRP; (2) NBRP project is a one-time effort for each strain; (3) PhysGen web interface only enables queries within a single study – …


Estimating The Respiratory Lung Motion Model Using Tensor Decomposition On Displacement Vector Field, Kingston Kang Jan 2018

Estimating The Respiratory Lung Motion Model Using Tensor Decomposition On Displacement Vector Field, Kingston Kang

Theses and Dissertations

Modern big data often emerge as tensors. Standard statistical methods are inadequate to deal with datasets of large volume, high dimensionality, and complex structure. Therefore, it is important to develop algorithms such as low-rank tensor decomposition for data compression, dimensionality reduction, and approximation.

With the advancement in technology, high-dimensional images are becoming ubiquitous in the medical field. In lung radiation therapy, the respiratory motion of the lung introduces variabilities during treatment as the tumor inside the lung is moving, which brings challenges to the precise delivery of radiation to the tumor. Several approaches to quantifying this uncertainty propose using a …