Three-dimensional face recognition: An Eigensurface approach

We evaluate a new approach to face recognition using a variety of surface representations of three-dimensional facial structure. Applying principal component analysis (PCA), we show that high levels of recognition accuracy can be achieved on a large database of 3D face models, captured under conditions that present typical difficulties to more conventional two-dimensional approaches. Applying a ran-c of image processing, techniques we identify the most effective surface representation for use in such application areas as security surveillance, data compression and archive searching

Personalised service? Changing the role of the government librarian

Investigates the feasibility of personalised information service in a government department. A qualitative methodology explored stakeholder opinions on the remit, marketing, resourcing and measurement of the service. A questionnaire and interviews gathered experiences of personalised provision across the government sector. Potential users were similarly surveyed to discuss how the service could meet their needs. Data were analysed using coding techniques to identify emerging theory. Lessons learned from government librarians centred on clarifying requirements, balancing workloads and selective marketing. The user survey showed low usage and awareness of existing specialist services, but high levels of need and interest in services repackaged as a tailored offering. Fieldwork confirmed findings from the literature on the scope for adding value through information management advice, information skills training and substantive research assistance and the need to understand business processes and develop effective partnerships. Concluding recommendations focus on service definition, strategic marketing, resource utilisation and performance measurement

Time-dependent probability density functions and information geometry in stochastic logistic and Gompertz models

A probabilistic description is essential for understanding growth processes in non-stationary states. In this paper, we compute time-dependent probability density functions (PDFs) in order to investigate stochastic logistic and Gompertz models, which are two of the most popular growth models. We consider different types of short-correlated multiplicative and additive noise sources and compare the time-dependent PDFs in the two models, elucidating the effects of the additive and multiplicative noises on the form of PDFs. We demonstrate an interesting transition from a unimodal to a bimodal PDF as the multiplicative noise increases for a fixed value of the additive noise. A much weaker (leaky) attractor in the Gompertz model leads to a significant (singular) growth of the population of a very small size. We point out the limitation of using stationary PDFs, mean value and variance in understanding statistical properties of the growth in non-stationary states, highlighting the importance of time-dependent PDFs. We further compare these two models from the perspective of information change that occurs during the growth process. Specifically, we define an infinitesimal distance at any time by comparing two PDFs at times infinitesimally apart and sum these distances in time. The total distance along the trajectory quantifies the total number of different states that the system undergoes in time, and is called the information length. We show that the time-evolution of the two models become more similar when measured in units of the information length and point out the merit of using the information length in unifying and understanding the dynamic evolution of different growth processes

A prospective study of consecutive emergency medical admissions to compare a novel automated computer-aided mortality risk score and clinical judgement of patient mortality risk

YesObjectives: To compare the performance of a validated automatic computer-aided risk of mortality (CARM) score versus medical judgement in predicting the risk of in-hospital mortality for patients following emergency medical admission. Design: A prospective study. Setting: Consecutive emergency medical admissions in York hospital. Participants: Elderly medical admissions in one ward were assigned a risk of death at the first post-take ward round by consultant staff over a 2-week period. The consultant medical staff used the same variables to assign a risk of death to the patient as the CARM (age, sex, National Early Warning Score and blood test results) but also had access to the clinical history, examination findings and any immediately available investigations such as ECGs. The performance of the CARM versus consultant medical judgement was compared using the c-statistic and the positive predictive value (PPV). Results: The in-hospital mortality was 31.8% (130/409). For patients with complete blood test results, the c-statistic for CARM was 0.75 (95% CI: 0.69 to 0.81) versus 0.72 (95% CI: 0.66 to 0.78) for medical judgements (p=0.28). For patients with at least one missing blood test result, the c-statistics were similar (medical judgements 0.70 (95% CI: 0.60 to 0.81) vs CARM 0.70 (95% CI: 0.59 to 0.80)). At a 10% mortality risk, the PPV for CARM was higher than medical judgements in patients with complete blood test results, 62.0% (95% CI: 51.2 to 71.9) versus 49.2% (95% CI: 39.8 to 58.5) but not when blood test results were missing, 50.0% (95% CI: 24.7 to 75.3) versus 53.3% (95% CI: 34.3 to 71.7). Conclusions: CARM is comparable with medical judgements in discriminating in-hospital mortality following emergency admission to an elderly care ward. CARM may have a promising role in supporting medical judgements in determining the patient's risk of death in hospital. Further evaluation of CARM in routine practice is required.Supported by the Health Foundation, National Institute for Health Research (NIHR) Yorkshire and Humberside Patient Safety Translational Research Centre (NIHR YHPSTRC)

Local industrial strategy and skills policy in England: Assessing the linkages and limitations – a case study of the Sheffield City Deal

This paper examines changes in local economic development policy which occurred between 2010 and 2015, with a focus on the relationship between industrial strategy and skills policy. Under the Coalition Government, Local Enterprise Partnerships were established and tasked with facilitating local growth, and to do so many identified a set of (potential) growth sectors for industrial strategy to support. These sectors tended to be drawn from a relatively narrow range of industries which therefore often excluded a large proportion of the local economy. An important focus of the support for growth sectors for many has been through an ambition to influence the local skills system. Skills policy more broadly has been an important dimension of devolution, and a number of City Deals have included elements of skills policy. Echoing previous national policy however, the focus of local concerns with skills under devolution has been framed largely with reference to skills gaps and shortages. While specific skills gaps and shortages can be identified, this paper questions whether this default position is reflected widely, and as such, if a narrow focus on skills supply is a sufficient approach. It is argued that to support local growth across a broad base, greater attention needs to be paid to stimulating employer demand for skills through better integrating industrial and innovation policy with skills policymaking across a wider section of the local economy. To support these arguments we present a case study of the Sheffield City Deal

Territory, power and statecraft: understanding English devolution

In recent decades, the devolution of power to subnational regional authorities has formed a key element of what has been termed the ‘unravelling’ or ‘unbundling’ of the state in many parts of the world. Even in the United Kingdom, with its distinctive global reputation as a power-hoarding majoritarian democracy, the devolution of powers to Scotland, Wales and Northern Ireland since 1998 can be located within this broader devolutionary dynamic. In recent years, this process has focused on ‘the English question’ and a reform agenda that claimed to offer a ‘devolution revolution’. This paper offers the first research-led analysis of the scope, scale and implications of these post-2015 reforms to English governance. It utilizes Jim Bulpitt’s statecraft approach to explore the changing nature of centre–periphery relationships within England. The main conclusion has been that a ‘rhetoric–reality gap’ currently exists and a ‘devolution revolution’ has not occurred