Human activity affects white-tailed deer (Odocoileus virginianus) movement and habitat selection during all times of the year, but knowledge is limited regarding how human risk affects white-tailed deer during the summer and winter. During spring and summer, variation in patch selection varied. Natural vegetation was selected for early in the year, with anthropogenic forages being important for deer use during the summer. During the winter, deer responded to different levels of risk. As hunter risk increased on the landscape, deer altered selection of the landscape. Deer avoided areas that were heavily used by hunters, using areas containing less hunter risk. Use of land cover classifications varied temporally, with cover selected for during the day and forage selected for at night. I have demonstrated that deer respond to human activity on the landscape, by selecting for anthropogenic foraging sources during the spring and summer and avoiding patches that contain risk.

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<p>Adaptation of nucleic acid <em>in vitro</em> selection for whole cell targets has been demonstrated to be an effective means of isolating useful sequences with applications in biomarker detection and therapeutics. The problem of efficient delivery of materials across cell membranes is common to a variety of research and medical fields. Existing aptamers isolated in surfacing binding selections have been successfully adapted for cell targeted therapies through complex modifications. However, better aptamers may be derived from a selection optimized to isolate internalized sequences directly. A cell selection experiment with the goal of identifying circular random-sequence DNA aptamers with the ability to facilitate their own internalization into MCF7 cells was conducted. Several classes of sequences isolated from this selection were shown to target cell nuclei at a rate significantly greater than control sequences as determined by qPCR relative recovery assays supported by <em>in situ</em> RCA fluorescence microscopy data. The localization of functional DNA sequences at the subcellular and intercellular levels suggests a receptor mediated mechanism. Techniques for the selection, purification and fluorescent detection of small circular DNAs were also developed for this study. Further work to characterize and identify targets should be pursued to better understand the mechanism of internalization and judge the suitability of G18d sequences as a delivery platform.</p> / Master of Science (MSc)

Post-silicon validation is an important step during the implementation flow of digital integrated circuits and systems. Most of the validation strategies are based on ad-hoc solutions, such as guidelines from best practices, decided on a case-by-case basis for a specific design and/or application domain. Developing systematic approaches for post-silicon validation can mitigate the productivity bottlenecks that have emerged due to both design diversification and shrinking implementation cycles. Ever since integrating on-chip memory blocks became affordable, embedded logic analysis has been used extensively for post-silicon validation. Deciding at design time which signals to be traceable at the post-silicon phase, has been posed as an algorithmic problem a decade ago. Most of the proposed solutions focus on how to restore as much data as possible within a software simulator in order to facilitate the analysis of functional bugs, assuming that there are no electrically-induced design errors, e.g., bit- flips. In this thesis, first it is shown that analyzing the logic inconsistencies from the post-silicon traces can aid with the detection of bit-flips and their root-cause analysis. Furthermore, when a bit-flip is detected, a list of suspect nets can be automatically generated. Since the rate of bit-flip detection as well the size of the list of suspects depends on the debug data that was acquired, it is necessary to select the trace signals consciously. Subsequently, new methods are presented to improve the bit-flip detectability through an algorithmic approach to selecting the on-chip trace signals. Hardware assertion checkers can also be integrated on-chip in order to detect events of interest, as defined by the user. For example, they can detect a violation of a design property that captures a relationship between internal signals that is supposed to hold indefinitely, so long as no bit-flips occur in the physical prototype. Consequently, information collected from hardware assertion checkers can also provide useful debug information during post-silicon validation. Based on this observation, the last contribution from this thesis presents a novel method to concurrently select a set of trace signals and a set of assertions to be integrated on-chip. / Thesis / Doctor of Philosophy (PhD)

Despite soybean's widespread recognition as a versatile and valuable crop due to many end-use purposes, breeders seek to develop varieties with improved nutritional and functional components that capture added-value for producers. Additionally, producers seek to maximize profits by utilizing field practices to augment crop value. Therefore, this dissertation had two main objectives of maximizing soybean value: 1) to evaluate accelerated selection methods by soybean breeders for methionine content and test weight, and 2) to identify sulfur fertilization impact on soybean seed composition including amino and fatty acid profiles. First, a genome-wide association study (GWAS) analyzed genomic influence on proteinogenic methionine in soybean seeds which identified 23 single nucleotide polymorphisms (SNPs). Utilizing a SNPs subset identified by GWAS, genomic selection (GS) exhibited average prediction accuracies ranging from 0.41-0.62. Secondly, a novel phenomic selection (PS) method using near-infrared reflectance spectroscopy (NIRS) was evaluated for predictive ability of soybean test weight. PS cross-validations exhibited average predictive accuracies of 0.75, 0.59, and 0.16 when incorporating all environments, between locations, and between years, respectively. Finally, sulfur fertilizer rates and sources were assessed across two years and six locations in relation to seed composition. Notably, ammonium sulfate (AMS) was found to have a significant impact (P < 0.05) on methionine content in soybean seed. These outcomes will have positive impacts on plant breeding and soybean production for seed composition and quality traits using contemporary breeding and fertilization. / Doctor of Philosophy / Despite soybean's widespread recognition as a versatile and valuable crop due to a myriad of end-use purposes, breeders seek to develop varieties with improved nutritional and functional components that captured value for producers. Additionally, producers seek to maximize their profits by utilizing field practices that increase crop value. Therefore, this dissertation had two main objectives of maximizing soybean value: 1) to evaluate accelerated selection methods by soybean breeders for methionine content and test weight, and 2) to identify sulfur fertilization impact on soybean seed protein and oil composition. The overall objective was to create a comprehensive toolset for soybean breeders to develop Mid-Atlantic soybean varieties with improved seed composition traits and to determine fertilization impacts for use by producers. Genetic controls for protein-bound methionine in soybean seed were identified and could be used for variety development. Additionally, a new prediction method that uses light reflectance to represent genetic information and environmental effects was shown to have high accuracy for soybean test weight. It was also found that sulfur fertilizer with high availability in the soil positively impacted methionine content. These outcomes will have positive impacts on plant breeding and soybean production for seed composition and quality traits using contemporary breeding and fertilization.

No / Occupational discrimination and segregation along gendered lines continue to be seen as problematic throughout the UK and the USA. Women continue to be attracted to occupations that are considered to be women's work, such as clerical, secretarial and personal service work, and inequalities persist even when women enter traditional male domains such as management Work psychology's chief, though indirect, contribution to this field has been through personnel selection research, where methods aimed at helping organizations to make more fair and unbiased selection decisions have been carefully examined. Our aim in this paper is to argue that, on their own, such methods can make very little difference to the position of women (and other minorities) in work organizations. The processes that are fundamental to organizational attraction and adjustment cannot, we contend, be understood adequately through reductionist approaches that treat organizational and individual characteristics as context independent realities. Drawing on critical management research and using the specific example of police work, we argue that work roles and work identities can be more fruitfully understood as social constructions that, when deconstructed, illuminate more powerfully how processes that lead to the relative subordination of women (and other groups) are both reproduced and challenged.