Sourness, Sweetness, Bitterness and Spiciness : Diaspora Narratives and Shifting Identites amongst Taiwanese People Living in the UK

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Dissecting complex phenotypes via multiple transcriptome-based GWAS

Genome-Wide Association Study (GWAS) have been widely used to detect the QTLs based on Linkage Disequilibrium (LD) relationships between SNPs and QTLs. However, in conventional GWAS false positive results cause serious concerns. In this research, we developed three different transcriptome-based GWAS approaches which are complementary to conventional SNP-based GWAS. The ability to identify trait-associated genes in these three different methods are supported by cross-validation, transposon knockout mutants, and the analysis of a gene regulatory networks. In summary, we provide novel methods of detecting trait associated loci to further understand the complex gene regulatory systems which will benefit plants, animals, and disease treatment development in the future

Optical transitions between Landau levels: AA-stacked bilayer graphene

The low-frequency optical excitations of AA-stacked bilayer graphene are investigated by the tight-binding model. Two groups of asymmetric LLs lead to two kinds of absorption peaks resulting from only intragroup excitations. Each absorption peak obeys a single selection rule similar to that of monolayer graphene. The excitation channel of each peak is changed as the field strength approaches a critical strength. This alteration of the excitation channel is strongly related to the setting of the Fermi level. The peculiar optical properties can be attributed to the characteristics of the LL wave functions of the two LL groups. A detailed comparison of optical properties between AA-stacked and AB-stacked bilayer graphenes is also offered. The compared results demonstrate that the optical properties are strongly dominated by the stacking symmetry. Furthermore, the presented results may be used to discriminate AABG from MG, which can be hardly done by STM

Does Repetition Affect Acceptance? A Social Robot Adoption Model for Technologically-Savvy Users in the Caribbean

There is little research on use and adoption factors for social robots in the Caribbean. In one pilot study, the Zenbo companion robot was used to evaluate potential social robot use in a Caribbean setting. An informal observation from that study was the existence of communication failure–participants frequently repeated commands to the robot. Based on this observation, we have undertaken this study to identify the factors that affect robot adoption among technologically-savvy Caribbean users (undergraduate Computer Science and Information Technology (IT) students) and create a technology adoption model for this type of user. Our model shows that communication failure, manifested as repetition, has no effect on technology acceptance. Additionally, social attitudes towards robots, like the perception of competence and warmth, also have no effect on adoption. This social robot adoption model is the first of its kind for the Caribbean and helps contextualize factors that can affect social robots’ adoption in the region

Toward Optimal Resource Allocation of Virtualized Network Functions for Hierarchical Datacenters

Telecommunications service providers (TSPs) previously provided network functions to end users with dedicated hardware, but they are resorting to virtualized infrastructure for reducing costs and increasing flexibility in resource allocation. A representative case is the Central Office Re-architected as Datacenter (CORD) project from AT&T, which aims to deploy virtualized network functions (VNFs) to over 4000 central offices (COs) across the U.S. However, there is a wide spectrum of options for deploying VNFs over the COs, varying from highly distributed to highly centralized manners. The former benefits end users with short response time but has its inherent limitation on utilizing geographically dispersed resources, while the latter allows resources to be better utilized at a cost of longer response time. In this work, we model the TSP's virtualized infrastructure as hierarchical datacenters, namely hierarchical CORD, and provide a resource allocation solution to strike the optimal balance between the two extreme options. Our evaluations reveal that in general, the 3-tier architecture incurs the least cost in case of deploying VNFs under moderate or loose delay constraints. Furthermore, the margin of improvement on the resource allocation cost increases inversely with the overall system utilization rate. Our results also suggest that as heavy request load overwhelms the network infrastructure, the relevant VNFs shall be migrated to lower-tier edge datacenters or to some nearby datacenters with superior network capacity. The evaluations also demonstrate that the proposed model allows highly adaptive VNF deployment in the hierarchical architecture under various conditions.This work was supported in part by H2020 Collaborative Europe/Taiwan Research Project 5G-CORAL under Grant 761586, and in part by the Ministry of Science and Technology, Taiwan, under Grant MOST-106-2218-E-009-018 and Grant MOST-106-2221-E-194-021-MY3