Design and creation of a virtual world of Petra, Jordan

Includes bibliographical references.This thesis presents the design and creation of a 3D virtual world of Petra, Jordan, based on the digital spatial documentation of this UNESCO World Heritage Site by the Zamani project. Creating digital records of the spatial domain of heritage sites is a well-established practice that employs the technologies of laser scanning, GPS and traditional surveys, aerial and close range photogrammetry, and 360-degree panorama photography to capture spatial data of a site. Processing this data to produce textured 3D models, sections elevations, GISs, and panorama tours to has led to the establishment of the field of virtual heritage. Applications to view this spatial data are considered too specialised to be used by the general public with only trained heritage practitioners being able to use the data. Additionally, data viewing platforms have not been designed to allow for the viewing of combinations of 3D data in an intuitive and engaging manner as currently each spatial data type must be viewed by independent software. Therefore a fully integrated software platform is needed which would allow any interested person, without prior training, easy access to a combination of spatial data, from anywhere in the world. This study seeks to provide a solution to the above requirement by using a game engine to assimilate spatial data of heritage sites in a 3D virtual environment where a virtual visitor is able to interactively engage with combinations of spatial data. The study first begins with an analysis of what virtual heritage applications, in the form of virtual environments, have been created, and the elements that were used in their creation. These elements are then applied to the design and creation of the virtual world of Petra

A network analysis to identify mediators of germline-driven differences in breast cancer prognosis

cited By 0Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies similar to 7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.Peer reviewe

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements