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Digital Access to Scholarship at Harvard
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  • Genetic Variation in the BRCA2 Gene and Prostate Cancer Risk in the Health Professionals Follow-Up Study (HPFS) and Physicians' Health Study (PHS)

    Legge, Sarah A. (2016)
    There is an urgent need to identify biomarkers that may be linked to aggressive and early-onset forms of prostate cancer. Previous studies have identified a link between mutations in the BRCA2 tumor suppressor gene and prostate cancer. The primary goal of this study was to assess the role of genetic variation in the BRCA2 gene on the risk of prostate cancer, both overall risk and risk of more advanced or aggressive disease. This study utilized genotype data from nested case-control studies...

    A Mechanistic Approach Towards Highly Efficient Anion-Binding Catalysts

    Rötheli, Andreas René (2016)
    Over the past decade, organocatalysis has emerged as a thriving area of research in the field of small-molecule asymmetric catalysis. In this context, the development of highly efficient catalysts—i.e. TON ≥ 1000, TOF ≥ 1000 h-1—that enable scalable syntheses of valuable chiral building blocks remains a challenge. The dissertation presented herein discusses the prospects of using chiral dual hydrogen bond donors with anion-binding abilities to address this problem. This strategy is particu...

    Directional Differences in the Biaxial Material Properties of Fascia Lata and the Implications for Fascia Function

    Eng, Carolyn M.; Pancheri, Francesco Q.; Lieberman, Daniel E.; Biewener, Andrew Austin; Dorfmann, Luis (2014)
    Fascia is a highly organized collagenous tissue that is ubiquitous in the body, but whose function is not well understood. Because fascia has a sheet-like structure attaching to muscles and bones at multiple sites, it is exposed to different states of multi- or biaxial strain. In order to measure how biaxial strain affects fascia material behavior, planar biaxial tests with strain control were performed on longitudinal and transversely oriented samples of goat fascia lata (FL). Cruciform samp...

    Nonparametric Guidance of Autoencoder Representations using Label Information

    Snoek, Jasper; Adams, Ryan Prescott; Larochelle, Hugo (2012)
    While unsupervised learning has long been useful for density modeling, exploratory data analysis and visualization, it has become increasingly important for discovering features that will later be used for discriminative tasks. Discriminative algorithms often work best with highly-informative features; remarkably, such features can often be learned without the labels. One particularly effective way to perform such unsupervised learning has been to use autoencoder neural networks, which find l...

    Ceteris Paribus Laws: Generics & Natural Kinds

    Nickel, Bernhard (2010)
    Ceteris Paribus (cp-)laws may be said to hold only “other things equal,” signaling that their truth is compatible with a range of exceptions. This paper provides a new semantic account for some of the sentences used to state cp-laws. Its core approach is to relate these laws to natural language on the one hand — by arguing that cp-laws are most naturally expressed with generics — and to natural kinds on the other — by arguing that the semantics of generics in the context of the special scienc...
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