A Study of the Development of the Ability of the Archives Department of the Hudson's Bay Company to Carry Out Document Repairs

The objective of this thesis was to determine whether the establishment and operation of an archives services by the Hudson's Bay Company had an effect on the company's ability to carry out document repairs. Data collection methods included reviews of published material, archival records of the Hudson's Bay Company, and semi-structured interviews. The study found that the Hudson's Bay Company's commitment to operating a modern archives service in accordance with accepted archive administration practices had a substantial effect on its ability to carry out document repairs. The principled approach to repair, as practiced by the Public Record Office, was a major influence. A review of secondary sources placed this development squarely within the context of archival developments in 20th century England. Overall, the thesis findings add to the growing conversation about conservation history in England, in particular, archive conservation history as it occurred outside of the Public Record Office in the 20th century, by discussing how some methods of repair that were devised, adopted and extended by the Public Record Office in the 19th and 20th centuries were adopted and applied in the 20th century by a well-established business corporation.

Estimating the Heading of a Husky Mobile Robot with a LiDAR Compass based on Direction Maps

Without an absolute position sensor (e.g., GPS), an accurate heading estimate is necessary for proper localization of an autonomous unmanned vehicle or robot. This paper introduces direction maps (DMs), which represent the directions of only dominant surfaces of the vehicle’s environment and can be created with negligible effort. Given an environment with reoccurring surface directions (e.g., walls, buildings, parked cars), lines extracted from laser scans can be matched with a DM to provide an extremely lightweight heading estimate that is shown, through experimentation, to drastically reduce the growth of heading errors. The algorithm was tested using a Husky A200 mobile robot in a warehouse environment over traverses hundreds of metres in length. When a simple a priori DM was provided, the resulting heading estimation showed virtually no error growth.

Annotated Chromosome Maps for Renal Disease

A combination of linkage analyses and association studies are currently employed to promote the identification of genetic factors contributing to inherited renal disease. We have standardized and merged complex genetic data from disparate sources, creating unique chromosomal maps to enhance genetic epidemiological investigations. This database and novel renal maps effectively summarize genomic regions of suggested linkage, association, or chromosomal abnormalities implicated in renal disease. Chromosomal regions associated with potential intermediate clinical phenotypes have been integrated, adding support for particular genomic intervals. More than 500 reports from medical databases, published scientific literature, and the World Wide Web were interrogated for relevant renal-related information. Chromosomal regions highlighted for prioritized investigation of renal complications include 3q13-26, 6q22-27, 10p11-15, 16p11-13, and 18q22. Combined genetic and physical maps are effective tools to organize genetic data for complex diseases. These renal chromosome maps provide insights into renal phenotype-genotype relationships and act as a template for future genetic investigations into complex renal diseases. New data from individual researchers and/or future publications can be readily incorporated to this resource via a user-friendly web-form accessed from the website: www.qub.ac.uk/neph-res/CORGI/index.php.

Positive dilations of piecewise monotonic Markov maps

We provide an explicit formula which gives natural extensions of piecewise monotonic Markov maps defined on an interval of the real line. These maps are exact endomorphisms and define chaotic discrete dynamical systems.