Thesis (M.Sc.)--York University, 2004. Graduate Programme in Computer Science. / Typescript. Includes bibliographical references (leaves 98-100). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL:http://gateway.proquest.com/openurl?url%5Fver=Z39.88-2004&res%5Fdat=xri:pqdiss&rft%5Fval%5Ffmt=info:ofi/fmt:kev:mtx:dissertation&rft%5Fdat=xri:pqdiss:MQ99401

In this thesis, a novel transmission structure is proposed for the Direct Sequence Ultra Wide-Band (DS-UWB) systems. The main purpose of the proposed structure is to eliminate the inter-symbol interference caused by the multi-path environment. In DS-UWB systems, shortening the guard interval is one of the possible ways to achieve higher data rates. However, interference will increase inversely with the length of the guard interval because the signal delay spread caused by the multi-path effect will induce inter-symbol interference. In this thesis, a novel transmission structure that utilizes the autocorrelation properties of the perfect sequence is proposed for interference cancellation in DS-UWB systems. Both computer simulation and mathematical analysis are provided for performance evaluation.

No description available.

The Late Cretaceous upper Sego Member of the Mancos Shale exposed in the Book Cliffs of east-central Utah is a 30 m thick sandstone wedge that overlies the Anchor Mine Tongue of the Mancos Shale and underlies coastal plain deposits of the Neslen Formation. Although this sandstone has been interpreted to be comprised of transgressive valley fills, recent detailed facies architecture studies of the underlying lower Sego Sandstone suggest these deposits may instead be regressive deposits of tideinfluenced deltas. This study maps facies associations, the geometry of lithic bodies, and key stratigraphic surfaces in order to define the architecture of a 12 km long cross section of the upper Sego Sandstone. This broadly depositional dip-oriented cross section exposes a vertical stack of three sandy intervals, truncated by a high-relief erosion surface, and capped by a shell rich lag. Sandy intervals are interpreted be an assemblage of forward stepping successions of tide-influenced delta lobes. Interval 1, dominantly highly marine bioturbated sandstones which thin landward over kilometers, is cut locally by an erosion surface overlain by tidal bed sets. It is capped by a localized transgressive shell lag and then a thin continuous marine shale. Intervals 2 and 3 are composed of stacked tidal bar deposits that successively coarsen upward and thicken basinward. Interval 2 is overlain by thin marine shales, whereas interval 3 is capped by a pronounced oyster shell lag ravinement surface. A high-relief erosion surface that extends from the top of the upper Sego sandstone down into the Anchor Mine Tongue Shale, is overlain by coarser-grained amalgamated fluvial channel deposits and is interpreted to be a incised valley fill. Erosion surfaces at the base of sandy intervals, thicken and decrease in marine bioturbation within successive intervals, and the valley cut into this succession reflects episodic forced regression of a deltaic shoreline.

The present experiment evaluated Willingham & Goedert-Eschmann’s proposal (1999) that physical practice is required to support the parallel activation of explicit and implicit systems during practice of an SRT task. Individuals either physically executed or observed an individual producing a repeating 12-element sequence. Models and observers were provided with explicit information regarding the sequence or were uninformed. Congruent with previous findings, providing explicit instructions resulted in a significant decrease in response times to sequenced stimuli during acquisition. Individuals who physically performed the sequences during practice exhibited performance during direct and indirect tests consistent with parallel activation of both the explicit and implicit systems. Unexpectedly, performance on the indirect test for the observers that revealed explicit learning was similar to that reported for the model, indicating parallel activation also occurred during observation. This finding addresses some of the predictions made by Willingham’s COBALT (1998). Furthermore, a subset of observers revealed no explicit knowledge of the 12-element sequence but performed well on the indirect test. Learning via the implicit system during observation is congruent with recent behavioral data of Bird and colleagues (2005).

Thesis (Ph. D.)--University of Washington, 2001. / Vita. Includes bibliographical references (leaves 130-144).

Thesis (Ph. D.)--University of Texas at Austin, 2003. / Vita. Includes bibliographical references. Available also from UMI Company.

Thesis (M. Med. Sc.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 38-43).

Thesis (M. Med. Sc.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 16-19).

Identification of pathogens is one of the important duties of clinical microbiology laboratory. Traditionally, phenotypic tests are used to identify the bacteria. However, due to some limitations of the phenotypic tests, the bacteria may not be identified sometimes and cannot be identified promptly. 16S rRNA gene sequencing is a rapid and accurate method to achieve this target. It is especially useful for identify rare or slow growing bacteria. However, the interpretation of the 16S rRNA gene sequencing result is one of the challenging duties to laboratory technicians and microbiologists. Apart from the well known 16S rRNA gene databases such as Genbank, The Ribosomal Database Project (RDP-II), MicroSeq databases, Ribosomal Differentiation of medical Microorganism database (RIDOM), SmartGene IDNS, 16SpathDB is an automated and comprehensive database for interpret the 16S rRNA gene result. The 16SpathDB first version was established in 2011. In this study, 16SpathDB was updated based on the all clinical important bacteria present in the 10th edition of the Manual of Clinical Microbiology (MCM)(Versalovic. et al., 2011) into this new version of database, 16SpathDB 2.0. The database was evaluated by using 689 16S rRNA gene sequences from 689 complete genomes of medically important bacteria. Among the 689 16S rRNA gene sequences, none was wrongly identified by 16SpathDB 2.0, with 247 (35.8%) 16S rRNA gene sequences reported in only one single bacterial species with more than 98% nucleotide identity with the query sequence (category 1), 440 (63.9%) reported as more than one bacterial species having more than 98% nucleotide identity with the query sequence (category 2), 2 (0.3%) reported to the genus level (category 3), and none reported as “no species in 16SpathDB 2.0 found to be sharing high nucleotide identity to your query sequence” (category 4). 16SpathDB 2.0 is an updated, automated, user-friendly, efficient and accurate database for 16S rRNA gene sequence interpretation in clinical microbiology laboratories. / published_or_final_version / Microbiology / Master / Master of Medical Sciences