Implementing video compression algorithms on reconfigurable devices

The increasing density offered by Field Programmable Gate Arrays(FPGA), coupled with their short design cycle, has made them a popular choice for implementing a wide range of algorithms and complete systems. In this thesis the implementation of video compression algorithms on FPGAs is studied. Two areas are specifically focused on; the integration of a video encoder into a complete system and the power consumption of FPGA based video encoders. Two FPGA based video compression systems are described, one which targets surveillance applications and one which targets video conferencing applications. The FPGA video surveillance system makes use of a novel memory format to improve the efficiency with which input video sequences can be loaded over the system bus. The power consumption of a FPGA video encoder is analyzed. The results indicating that the motion estimation encoder stage requires the most power consumption. An algorithm, which reuses the intra prediction results generated during the encoding process, is then proposed to reduce the power consumed on an FPGA video encoder’s external memory bus. Finally, the power reduction algorithm is implemented within an FPGA video encoder. Results are given showing that, in addition to reducing power on the external memory bus, the algorithm also reduces power in the motion estimation stage of a FPGA based video encoder

An investigation of polymorphisms in the 17q11.2-12 CC chemokine gene cluster for association with multiple sclerosis in Australians

BACKGROUND: Multiple sclerosis (MS) is a disorder of the central nervous system (CNS) characterised by inflammation and neuronal degeneration. It is believed to result from the complex interaction of a number of genes, each with modest effect. Chemokines are vital to the migration of cells to sites of inflammation, including the CNS, and many are implicated in MS pathogenesis. Most of the CC chemokine genes are encoded in a cluster on chromosome 17q11.2-12, which has been identified in a number of genome wide screens as being potentially associated with MS. METHODS: We conducted a two-stage analysis to investigate the chemokine gene cluster for association with MS. After sequencing the chemokine genes in several DNA pools to identify common polymorphisms, 12 candidate single-nucleotide polymorphisms (SNPs) were genotyped in a cohort of Australian MS trio families. RESULTS: Marginally significant (uncorrected) transmission distortion was identified for four of the SNPs after stratification for several factors. We also identified marginally significant (uncorrected) transmission distortion for haplotypes encompassing the CCL2 and CCL11 genes, using two independent cohorts, which was consistent with recent reports from another group. CONCLUSION: Our results implicate several chemokines as possibly being associated with MS susceptibility, and given that chemokines and their receptors are suitable targets for therapeutic agents, further investigation is warranted in this region

Implications of Hours Worked for Inequality and Poverty : Final Report

The amount of time that people spend in paid work has a major influence on both individual earnings and household incomes. As such, differences in hours worked across different groups of worker or types of household can have a major influence on income inequality and poverty. Changes in patterns of work over time have also been a major driver of trends in inequality within and between different groups of workers. But what determines the patterns of working hours that we see today? And why has the distribution of hours worked changed over time? Does it reflect changes in the requirements of employers, or changing preferences of workers? And what are the implications for wellbeing, job satisfaction, inequality and poverty? The objectives of this project are to analyse changing patterns of working hours, consider what drives changes, examine how they affect inequality, poverty and wellbeing, and explore how policy might respond

Use of drug therapy in the management of symptomatic ureteric stones in hospitalized adults (SUSPEND), a multicentre, placebo-controlled, randomized trial of a calcium-channel blocker (nifedipine) and an α-blocker (tamsulosin) : study protocol for a randomized controlled trial

Peer reviewedPublisher PD

CIPD Good Work Index 2021 : UK Working Lives Survey

The CIPD Good Work Index is an annual benchmark of good work or job quality in the UK. It measures a wide range of aspects of job quality, including employment essentials, such as pay and contracts, the day-to-day realities of work as experienced by workers themselves, and the impacts on people’s health and wellbeing. This survey report is based on the fourth annual UK Working Lives survey, which draws on a representative sample of UK workers. The CIPD Good Work Index measures a wide range of aspects of job quality, including employment essentials, such as pay and contracts, the day-to-day realities of work as experienced by workers themselves, and the impacts on people’s health and wellbeing. This year’s survey was conducted nearly 12 months on from the start of the COVID-19 pandemic and gives a snapshot of the experiences of workers during this time. Since the last full annual survey, the global economy has experienced its greatest shock in over a generation. Alongside a major contraction in economic activity, the COVID-19 crisis has ushered in an unprecedented policy response. Cumulatively, the UK Government’s furlough scheme – the Coronavirus Job Retention Scheme (CJRS) – has supported over 11 million jobs since its launch in March 2020. This survey offers important insights into workers’ experiences during this crisis – including those on furlough and those working from home. The report also examines the extent to which the experiences of those deemed to be key workers during this crisis has differed from that of the general workforce

Spectrum monitoring and analysis with the AMD RFSoC

The Radio Frequency (RF) spectrum is a finite resource that requires strict regulation to prevent illegitimate use and unauthorised transmissions. Spectrum monitoring (measurement and analysis) is key to supporting regulation by determining usage and occupancy in real-time as well as establishing temporal trends. Spectrum monitoring technology can also enable Dynamic Spectrum Access (DSA) solutions, which improve the efficiency of the radio spectrum by autonomously adjusting wireless communication networks in real-time. DSA techniques require knowledge of real-time spectrum occupancy and a historical database of past usage. Engineers from the University of Strathclyde and Advanced Micro Devices (AMD) have developed an innovative spectrum monitoring solution that aims to improve spectrum regulation and enable real-time DSA techniques. This solution features an open-source software stack and hardware design to measure the power of ambient radio signals and record the frequency spectrum over time. The system is also able to combine spectrum measurements alongside a local database of frequency band allocations published by Ofcom (UK regulator). Thus, the spectrum monitoring solution can identify in-use frequency bands and the organisation(s) that can legitimately use them. The solution is implemented entirely on AMD’s Radio Frequency System on Chip (RFSoC) device, which features high-speed data converters for accurately performing wide-bandwidth measurements of the frequency spectrum. Autonomous vehicles, media and broadcast technologies, and smart manufacturing environments increasingly require DSA to overcome wireless communication congestion. DSA techniques are essential to improve the efficient allocation of the RF spectrum. This spectrum monitoring solution addresses the challenge of implementing DSA techniques by providing a cost-effective, real-time solution for efficiently measuring and recording the ambient radio spectrum. For example, the spectrum monitor can be deployed alongside a 4G/5G mobile base station and can probe the local radio spectrum to inform the base station as to the most suitable frequency bands for wireless communication

Open urethroplasty versus endoscopic urethrotomy - clarifying the management of men with recurrent urethral stricture (the OPEN trial) : study protocol for a randomised controlled trial

Peer reviewedPublisher PD

Novel Approaches to Detect Serum Biomarkers for Clinical Response to Interferon-β Treatment in Multiple Sclerosis

Interferon beta (IFNβ) is the most common immunomodulatory treatment for relapsing-remitting multiple sclerosis (RRMS). However, some patients fail to respond to treatment. In this study, we identified putative clinical response markers in the serum and plasma of people with multiple sclerosis (MS) treated with IFNβ. In a discovery-driven approach, we use 2D-difference gel electrophoresis (DIGE) to identify putative clinical response markers and apply power calculations to identify the sample size required to further validate those markers. In the process we have optimized a DIGE protocol for plasma to obtain cost effective and high resolution gels for effective spot comparison. APOA1, A2M, and FIBB were identified as putative clinical response markers. Power calculations showed that the current DIGE experiment requires a minimum of 10 samples from each group to be confident of 1.5 fold difference at the p<0.05 significance level. In a complementary targeted approach, Cytometric Beadarray (CBA) analysis showed no significant difference in the serum concentration of IL-6, IL-8, MIG, Eotaxin, IP-10, MCP-1, and MIP-1α, between clinical responders and non-responders, despite the association of these proteins with IFNβ treatment in MS

Surgical Treatment for Recurrent Bulbar Urethral Stricture: A Randomised Open-label Superiority Trial of Open Urethroplasty Versus Endoscopic Urethrotomy (the OPEN Trial)

BackgroundUrethral stricture affects 0.9% of men. Initial treatment is urethrotomy. Approximately, half of the strictures recur within 4 yr. Options for further treatment are repeat urethrotomy or open urethroplasty.ObjectiveTo compare the effectiveness and cost-effectiveness of urethrotomy with open urethroplasty in adult men with recurrent bulbar urethral stricture.Design, setting, and participantsThis was an open label, two-arm, patient-randomised controlled trial. UK National Health Service hospitals were recruited and 222 men were randomised to receive urethroplasty or urethrotomy.InterventionUrethrotomy is a minimally invasive technique whereby the narrowed area is progressively widened by cutting the scar tissue with a steel blade mounted on a urethroscope. Urethroplasty is a more invasive surgery to reconstruct the narrowed area.Outcome measurements and statistical analysisThe primary outcome was the profile over 24 mo of a patient-reported outcome measure, the voiding symptom score. The main clinical outcome was time until reintervention.Results and limitationsThe primary analysis included 69 (63%) and 90 (81%) of those allocated to urethroplasty and urethrotomy, respectively. The mean difference between the urethroplasty and urethrotomy groups was –0.36 (95% confidence interval [CI] –1.74 to 1.02). Fifteen men allocated to urethroplasty needed a reintervention compared with 29 allocated to urethrotomy (hazard ratio [95% CI] 0.52 [0.31–0.89]).ConclusionsIn men with recurrent bulbar urethral stricture, both urethroplasty and urethrotomy improved voiding symptoms. The benefit lasted longer for urethroplasty.Patient summaryThere was uncertainty about the best treatment for men with recurrent bulbar urethral stricture. We randomised men to receive one of the following two treatment options: urethrotomy and urethroplasty. At the end of the study, both treatments resulted in similar and better symptom scores. However, the urethroplasty group had fewer reinterventions

A Transcription Factor Map as Revealed by a Genome-Wide Gene Expression Analysis of Whole-Blood mRNA Transcriptome in Multiple Sclerosis

Background: Several lines of evidence suggest that transcription factors are involved in the pathogenesis of Multiple Sclerosis (MS) but complete mapping of the whole network has been elusive. One of the reasons is that there are several clinical subtypes of MS and transcription factors that may be involved in one subtype may not be in others. We investigate the possibility that this network could be mapped using microarray technologies and contemporary bioinformatics methods on a dataset derived from whole blood in 99 untreated MS patients (36 Relapse Remitting MS, 43 Primary Progressive MS, and 20 Secondary Progressive MS) and 45 age-matched healthy controls. Methodology/Principal Findings: We have used two different analytical methodologies: a non-standard differential expression analysis and a differential co-expression analysis, which have converged on a significant number of regulatory motifs that are statistically overrepresented in genes that are either differentially expressed (or differentially co-expressed) in cases and controls (e.g., V$KROX_Q6, p-value ,3.31E-6; V$CREBP1_Q2, p-value ,9.93E-6, V$YY1_02, p-value ,1.65E-5). Conclusions/Significance: Our analysis uncovered a network of transcription factors that potentially dysregulate several genes in MS or one or more of its disease subtypes. The most significant transcription factor motifs were for the Early Growth Response EGR/KROX family, ATF2, YY1 (Yin and Yang 1), E2F-1/DP-1 and E2F-4/DP-2 heterodimers, SOX5, and CREB and ATF families. These transcription factors are involved in early T-lymphocyte specification and commitment as well as in oligodendrocyte dedifferentiation and development, both pathways that have significant biological plausibility in MS causation