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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
141

Development of Accurate Computational Models for Patient-Specific Deep Brain Stimulation

Chaturvedi, Ashutosh 30 January 2012 (has links)
No description available.
142

Sources of interference in item and associative recognition memory: Insights from a hierarchical Bayesian analysis of a global matching model

Osth, Adam Frederick 24 June 2014 (has links)
No description available.
143

Modeling Radiation Transport in Biomimetic Configuration of Solar Cells for Enhanced Sunlight Capture Using the Monte Carlo Method

Verma, Navni 15 September 2014 (has links)
No description available.
144

On Computational Modeling of Dynamic Drop-Surface Interactions During Post-Impact Spreading of Water and Aqueous Surfactant Solution

Bokil, Shrikant A. 21 October 2013 (has links)
No description available.
145

Investigating the Slow Axonal Transport of Neurofilaments: A Precursor for Optimal Neuronal Signaling

Johnson, Christopher M. 15 July 2016 (has links)
No description available.
146

COMPUTATIONAL MODELING OF CHEMICAL VAPOR DEPOSITION

Barua, Himel, Barua January 2016 (has links)
No description available.
147

Create or differentiate? Testing the boundary conditions of differentiation

Osth, Adam F. 15 December 2011 (has links)
No description available.
148

Development of an Effective Therapeutic for Nerve Agent Inhibited and Aged Acetylcholinesterase

Brown, Jason David 20 June 2012 (has links)
No description available.
149

List length and word frequency effects in the Sternberg paradigm

Chapman, Allison M. 22 June 2012 (has links)
No description available.
150

Investigating the evolution of menopause through computational simulation

Lam, Christine 11 1900 (has links)
Menopause is characterized by prolonged lifespan beyond the point of reproductive cessation. Defined so that at least 25% of adulthood is nonreproductive, humans and some toothed whale species are the only groups that have been found to exhibit menopause. Menopause is a puzzling trait that seems to contradict classical evolutionary theory that equates selection operating on reproduction to selection operating on survival. I created two computational models to gain better understanding of the evolution of menopause. The first model explored why menopause is not observed in elephants despite their being characterized by key features in common with menopausal species, specifically offspring care from older females and longevity. Simulations allowed testing the effects of varying age at reproductive cessation and levels of offspring care, modeled by decreases in interbirth intervals. I found that hypothetical populations with greatest post-reproductive lifespans, characterized by longer interbirth intervals and earlier reproductive cessation, were most likely to be out-competed by contemporary elephants. Conversely, hypothetical populations that were most reproductively competitive, those with shorter interbirth intervals and older ages of reproductive cessation, returned post-reproductive lifespans that failed to meet the 25% post-reproductive lifespan criterion for menopause. I identified a small region in the parameter space where populations that were both menopausal and reproductively competitive evolved, but the majority of that region corresponds to biologically unrealistic scenarios. The scenario that is most feasible involves an interbirth interval of 4 years and an age at reproductive cessation of 40 years. The second model studied how menopause might have evolved in humans through a behavioural strategy of ending reproduction early to avoid risk of aneuploidy later in life and diverting resources toward extant kin. I found that populations that ceased reproduction earlier and exhibited greater post-reproductive lifespan returned lower reproductive success. The model also demonstrated that the aneuploidy avoidance behaviour is most successful when reproduction ends at approximately age 50. These concepts have never been explored computationally before, so these experiments contribute a novel simulation-based perspective to the growing body of knowledge surrounding the origin and evolution of menopause. / Thesis / Master of Science (MSc) / Menopause can be defined generally for a group as a life history characterized by prolonged post-reproductive lifespan. Defined specifically so that at least 25% of adulthood is nonreproductive, menopause has been recorded in only humans and some species of toothed whales. This trait presents an evolutionary puzzle, as it appears to contradict classical evolutionary theory, which suggests that reproduction should continue until the end of life. In this thesis, I use computational modeling to explore why elephants have not evolved menopause despite sharing key features with menopausal species and how aneuploidy might have contributed to the evolution of menopause in humans.

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