Modelling socio-spatial dynamics from real-time data

This thesis introduces a framework for modelling the social dynamic of an urban landscape from multiple and disparate real-time datasets. It seeks to bridge the gap between artificial simulations of human behaviour and periodic real-world observations. The approach is data-intensive, adopting open-source programmatic and visual analytics. The result is a framework that can rapidly produce contextual insights from samples of real-world human activity – behavioural data traces. The framework can be adopted standalone or integrated with other models to produce a more comprehensive understanding of people-place experiences and how context affects behaviour. The research is interdisciplinary. It applies emerging techniques in cognitive and spatial data sciences to extract and analyse latent information from behavioural data traces located in space and time. Three sources are evaluated: mobile device connectivity to a public Wi-Fi network, readings emitted by an installed mobile app, and volunteered status updates. The outcome is a framework that can sample data about real-world activities at street-level and reveal contextual variations in people-place experiences, from cultural and seasonal conditions that create the ‘social heartbeat’ of a landscape to the arrhythmic impact of abnormal events. By continuously or frequently sampling reality, the framework can become self-calibrating, adapting to developments in land-use potential and cultural influences over time. It also enables ‘opportunistic’ geographic information science: the study of unexpected real-world phenomena as and when they occur. The novel contribution of this thesis is to demonstrate the need to improve understanding of and theories about human-environment interactions by incorporating context-specific learning into urban models of behaviour. The framework presents an alternative to abstract generalisations by revealing the variability of human behaviour in public open spaces, where conditions are uncertain and changeable. It offers the potential to create a closer representation of reality and anticipate or recommend behaviour change in response to conditions as they emerge

The amino acid sequence of Erythrina corallodendron lectin and its homology with other legume lectins

AbstractThe primary sequence of Erythrina corallodendron lectin was deduced from analysis of the peptides derived from the lectin by digestion with trypsin, chymotrypsin, Staphylococcus aureus V8 protease, elastase and lysylendopeptidase-C, and of fragments generated by cleavage of the lectin with dilute formic acid in 6 M guanidine hydrochloride. Purification of the individual peptides was achieved by gel nitration, followed by reverse phase HPLC. The glycosylation site (Asn17-Leu18-Thr19) was deduced from analysis of the glycopeptide isolated from a pronase digest of the lectin before and after deglycosylation of the glycopeptide with endoglycosidase F. Comparison of the sequence of 244 residues thus obtained with those of 9 other legume lectins revealed extensive homologies, including 39 invariant positions and 60 partial identities. These data provide further evidence for the conservation of the lectin gene in leguminous plants.Primary sequence; Sequence homology; Lectin, legume; Glycosylation sit

Indigenous Well-Being and Development: Connections to Large-Scale Mining and Tourism in the Pacific

This article examines examples of indigenous conceptions of well-being and locally meaningful forms of community development in the Pacific and considers how these coincide, or collide, with development driven by the private sector. The focus is on indigenous communities who live in the vicinity of large multinational corporations, using case studies from Papua New Guinea and Fiji. We investigate how communities’ perceptions of well-being intersect with the concept of development as it emanates from the private sector. In order to do this, we explore how communities perceive well-being, what materializes as being significant to its achievement, and what this means in the presence of international capital. Ultimately the purpose of investigating these concepts is to establish a point of reference for considering the effectiveness and value of corporate community development intervention from a community perspective

Prospectus, April 28, 1999

https://spark.parkland.edu/prospectus_1999/1014/thumbnail.jp

Parallel vs. Sequential Belief Propagation Decoding of LDPC Codes over GF(q) and Markov Sources

A sequential updating scheme (SUS) for belief propagation (BP) decoding of LDPC codes over Galois fields, $GF(q)$, and correlated Markov sources is proposed, and compared with the standard parallel updating scheme (PUS). A thorough experimental study of various transmission settings indicates that the convergence rate, in iterations, of the BP algorithm (and subsequently its complexity) for the SUS is about one half of that for the PUS, independent of the finite field size $q$. Moreover, this 1/2 factor appears regardless of the correlations of the source and the channel's noise model, while the error correction performance remains unchanged. These results may imply on the 'universality' of the one half convergence speed-up of SUS decoding

Bubble break-off in Hele-Shaw flows : Singularities and integrable structures

Bubbles of inviscid fluid surrounded by a viscous fluid in a Hele-Shaw cell can merge and break-off. During the process of break-off, a thinning neck pinches off to a universal self-similar singularity. We describe this process and reveal its integrable structure: it is a solution of the dispersionless limit of the AKNS hierarchy. The singular break-off patterns are universal, not sensitive to details of the process and can be seen experimentally. We briefly discuss the dispersive regularization of the Hele-Shaw problem and the emergence of the Painlev\'e II equation at the break-off.Comment: 27 pages, 9 figures; typo correcte

Raising awareness of the occupational health of older construction workers

Background Due to demographic, political and economic pressures, there are now real benefits to be gained from retaining older workers within the construction industry. However the health of such workers, and its consequences for continued working, needs to be more widely appreciated. Aims The aim of the research project being undertaken by the Innovative Manufacturing and Construction Research Centre (IMCRC) at Loughborough University, UK, is to identify the key health issues affecting older construction workers and, from there, develop wearable devices which will simulate these health effects and their consequential impacts on both working and home life. When worn, such devices will enable other industry members (managers, architects, equipment designers, etc) to better appreciate the challenges faced by older workers and, through this improved awareness, contribute to an attitude-shift within the industry. This paper discusses the need to raise awareness of older construction worker health; the rationale for an approach using simulation and the research undertaken to date as well as presenting analogous case studies. Methods A triangulated approach combining: a review of current knowledge in this area, worker interviews and health professional consultations is proposed. From the resultant data a specification will be developed which will detail which health conditions, and what aspects of them, are to be developed into simulation devices. The devices will developed to meet the specification as closely as is possible within technological, ethical, cost and other constraints. The intention is to then pilot the devices with key groups within the industry to confirm proof-of-concept. Results/conclusions Whilst there are no results to date, a case study demonstrating the benefits to be obtained from changing attitudes through increased awareness, which is brought about by enabling third parties to directly experience a heath condition for themselves, will be presented

Suicidal students' use of and attitudes to primary care prevention services

Aim The aims of this study were to improve responses to students in distress and who are feeling suicidal, to help practitioners to increase their responsiveness to those at high risk of suicide and to develop effective responses to those affected by their deaths. The study sought to build a detailed picture of students’ patterns of service use. Background National suicide prevention strategies emphasise that suicide prevention requires the collaboration of a wide range of organisations. Among these, primary care services play a key role in relation to suicide prevention for young people in crisis. Methods This study, undertaken between 2004 and 2007, focused on 20 case studies of student suicide that took place in the United Kingdom between May 2000 and June 2005. It adopted a psychological autopsy approach to learn from a wide range of informants, including parents, friends, university staff and the records of coroners or procurator fiscals. Twenty families gave permission for their son’s or daughter’s death to be included in the study and agreed to participate in the study. Informants were interviewed in person and the data were analysed thematically. Analysis of the case study data suggested that in a number of cases students had failed to engage with services sufficiently early or in sufficient depth. Primary care practitioners need to be proactive in communicating concerns about vulnerable students to student support services. At local levels, collaboration between student support and National Health Service practitioners varied considerably and channels of communication need to be developed

The use of volumetric projections in Digital Human Modelling software for the identification of large goods vehicle blind spots

The aim of the study is to understand the nature of blind spots in the vision of drivers of Large Goods Vehicles caused by vehicle design variables such as the driver eye height, and mirror designs. The study was informed by the processing of UK national accident data using cluster analysis to establish if vehicle blind spots contribute to accidents. In order to establish the cause and nature of blind spots six top selling trucks in the UK, with a range of sizes were digitized and imported into the SAMMIE Digital Human Modelling (DHM) system. A novel CAD based vision projection technique, which has been validated in a laboratory study, allowed multiple mirror and window aperture projections to be created, resulting in the identification and quantification of a key blind spot. The identified blind spot was demonstrated to have the potential to be associated with the scenarios that were identified in the accident data. The project led to the revision of UNECE Regulation 46 that defines mirror coverage in the European Union, with new vehicle registrations in Europe being required to meet the amended standard after June of 2015