Non-face to face consultations and communications in primary care : the role and perspective of general practice managers in Scotland

Background Practice managers play an important role in the organisation and delivery of primary care, including uptake and implementation of technologies. Little is currently known about practice managers’ attitudes to the use of information and communication technologies, such as email or text messaging, to communicate or consult with patients.

Objectives To investigate practice managers’ attitudes to non-face-to-face consultation/communication technologies in the routine delivery of primary care and their role in the introduction and normalisation of these technologies.

Methods We carried out a mixed-methods study in Scotland, UK. We invited all practice managers in Scotland to take part in a postal questionnaire survey. A maximum variation sample of 20 survey respondents participated subsequently in in-depth qualitative interviews.

Results Practice managers supported the use of new technologies for routine tasks to manage workload and maximise convenience for patients, but a range of contextual factors such as practice list size, practice deprivation area and geographical location affected whether managers would pursue the introduction of these technologies in the immediate future. The most common objections were medico-legal concerns and lack of perceived patient demand.

Conclusion Practice managers are likely to play a central role in the introduction of new consultation/communication technologies within general practice. They hold varying views on the appropriateness of these technologies, influenced by a complex mix of contextual characteristics.Managers from areas in which the ethos of the practice prioritises personalised care in service delivery are less enthusiastic about the adoption of remote consultation/ communication technologies.

Unfolding a face : from singular to manifold

Face recognition from a single image remains an important task in many practical applications and a significant research challenge. Some of the challenges are inherent to the problem, for example due to changing lighting conditions. Others, no less significant, are of a practical nature – face recognition algorithms cannot be assumed to operate on perfect data, but rather often on data that has already been subject to pre-processing errors (e.g. localization and registration errors). This paper introduces a novel method for face recognition that is both trained and queried using only a single image per subject. The key concept, motivated by abundant prior work on face appearance manifolds, is that of face part manifolds – it is shown that the appearance seen through a sliding window overlaid over an image of a face, traces a trajectory over a 2D manifold embedded in the image space. We present a theoretical argument for the use of this representation and demonstrate how it can be effectively exploited in the single image based recognition. It is shown that while inheriting the advantages of local feature methods, it also implicitly captures the geometric relationship between discriminative facial features and is naturally robust to face localization errors. Our theoretical arguments are verified in an experimental evaluation on the Yale Face Database.

A manifold approach to face recognition from low quality video across illumination and pose using implicit super-resolution

We consider the problem of matching a face in a low resolution query video sequence against a set of higher quality gallery sequences. This problem is of interest in many applications, such as law enforcement. Our main contribution is an extension of the recently proposed Generic Shape-Illumination Manifold (gSIM) framework. Specifically, (i) we show how super-resolution across pose and scale can be achieved implicitly, by off-line learning of subsampling artefacts; (ii) we use this result to propose an extension to the statistical model of the gSIM by compounding it with a hierarchy of subsampling models at multiple scales; and (iii) we describe an extensive empirical evaluation of the method on over 1300 video sequences – we first measure the degradation in performance of the original gSIM algorithm as query sequence resolution is decreased and then show that the proposed extension produces an error reduction in the mean recognition rate of over 50%.

An information-theoretic approach to face recognition from face motion manifolds

In this work, we consider face recognition from face motion manifolds (FMMs). The use of the resistor-average distance (RAD) as a dissimilarity measure between densities confined to FMMs is motivated in the proposed information-theoretic approach to modelling face appearance. We introduce a kernel-based algorithm that makes use of the simplicity of the closed-form expression for RAD between two Gaussian densities, while allowing for modelling of complex and nonlinear, but intrinsically low-dimensional manifolds. Additionally, it is shown how geodesically local FMM structure can be modelled, naturally leading to a stochastic algorithm for generalizing to unseen modes of data variation. Recognition performance of our method is demonstrated experimentally and is shown to exceed that of state-of-the-art algorithms. Recognition rate of 98% was achieved on a database of 100 people under varying illumination

Do cyclic changes in women's face preferences target cues to long-term health?

A shift to prefer more masculine male faces when conception risk is high may be an adaptation for finding mates with good disease resistance. We investigated whether preferences for other facial cues to long-term health also increase when conception is likely. We examined preferences for the faces of men with good health histories and for facial averageness and symmetry, two putative indicators of health during development. Preferences were tested at two points in the menstrual cycle that differed maximally in conception risk. No cyclic changes in preferences were found. We consider implications for the sexual selection of variation in preferences across the menstrual cycle.

Patient deterioration education: Evaluation of face-to-face simulation and e-simulation approaches

Background: Simulation-based education is one strategy that may be used to teach nursing students to recognize and manage patient deterioration. Method: Final-year preregistration nursing students (n=97) completed three face-to-face laboratory-based team simulations with a simulated patient (actor) and 330 students individually completed a three-scenario Web-based simulation program: FIRST2ACTWeb™. Results: Both groups achieved moderate performance scores (means: face to face, 49%; e-simulation, 69%). Course evaluations were positive, skill gain showing a greater effect size in the face-to-face program than for e-simulation, and higher satisfaction and more positive appraisal. Conclusion: Face-to-face simulation and e-simulation are effective educational strategies with e-simulation offering greater feasibility. Either strategy is likely to add value to the learning experience.

Lecturing and other face-to-face teaching – too much or too little? An assessment based on student feedback and fail rates

Institutes of higher learning are tending to reduce the amount of face-to-face teaching that they offer, and particularly through the traditional pedagogical method of lecturing. There is ongoing debate about the educational value of lectures as a teaching approach, in terms of both whether they facilitate understanding of subject material and whether they augment the student educational experience. In this study, student evaluation of teaching scores plus academic outcome (percentage of students who fail) was assessed for 236 course units offered by a science faculty at an Australian university over the course of one year. These measures were related to the degree to which lectures and other face-to-face teaching were used in these units, controlling for factors such as class size, school and year level. An information-theoretic model selection approach was employed to identify the best models and predictors of student assessments and fail rates. All the top models of student feedback included a measure reflecting amount of face-to-face teaching, with the evaluation of quality of teaching being higher in units with higher proportions of lectures. However, these models explained only 12–20% of the variation in student evaluation scores, suggesting that many other factors come into play. By contrast, units with fewer lectures have lower failure rates. These results suggest that moving away from lectures and face-to-face teaching may not harm, and indeed may improve the number of students who pass the subject, but that this may be incurred at the expense of greater dissatisfaction in students' learning experience.

Impact and significance of the 2016 ‘Campaign to change the male face of Parliament’ in Iran

Iranian women have never represented more than 5.9% of sittingparliamentarians in the Islamic Republic of Iran. This compares poorlywith relevant regional and global averages. In the lead up to the 2016parliamentary elections, the women’s movement took action to address thelow representation of women in the legislature by launching the ‘Campaignto Change the Male Face of Parliament’. The Campaign did not reach its goalof achieving 50 seats for women in the 2016–2020 Parliament. It was alsosubject to some criticism for effectively (or apparently) legitimising whatmany women view as a broken form of government unable to promote andprotect women’s rights in any meaningful sense. However, the Campaignwas an important exercise in democracy and had significant higher-orderimpacts on voter behaviour and women’s capacities. Through personalcommunication with three Campaign activists, this profile provides anauthoritative account of the Campaign experience and its impact andsignificance for the future of women’s empowerment in Iran.

Assessing the case for mandatory folate fortification : policy-making in the face of scientific uncertainties

This paper presents the view that policymakers face scientific uncertainties in assessing the case for mandatory folate fortification as a policy response to epidemiological evidence of the relationship between folate and neural tube defects. Moreover, the resolution of these uncertainties is confounded by the under-resourced state of nutrition information systems in Australia and New Zealand. The uncertainties relate to potential risks and benefits associated with the intervention for the target group and the population in general. These risks and benefits reflect the mismatch between evidence and policy that arises when addressing a presumed genetic abnormality in at-risk individuals with an intervention that is population-wide in its scope. There is an urgent need to conduct ongoing national nutrition surveys and monitor and evaluate policy interventions to strengthen the capacity of nutrition information systems to inform decision-making for this current, and future, public health nutrition policy.

Distance-driven fusion of gait and face for human identification in video

Gait and face are two important biometrics for human identification. Complementary properties of these two biometrics suggest fusion of them. The relationship between gait and face in the fusion is affected by the subject-to-camera distance. On the one hand, gait is a suitable biometric trait for human recognition at a distance. On the other hand, face recognition is more reliable when the subject is close to the camera. This paper proposes an adaptive fusion method called distance-driven fusion to combine gait and face for human identification in video. Rather than predefined fixed fusion rules, distance-driven fusion dynamically adjusts its rule according to the subject-to-camera distance in real time. Experimental results show that distance-driven fusion performs better than not only single biometric, but also the conventional
static fusion rules including MEAN, PRODUCT, MIN, and MAX.

Individual discriminative subspace for face recognition under uncontrolled conditions

Most face recognition (FR) algorithms require the face images to satisfy certain restrictions in various aspects like view angle, illumination, occlusion, etc. But what is needed in general is the techniques that can recognize any face images recognizable by human beings. This paper provides one potential solution to this problem. A method named Individual Discriminative Subspace (IDS) is proposed for robust face recognition under uncontrolled conditions. IDS is the subspace where only the images from one particular person converge around the origin while those from others scatter. Each IDS can be used to distinguish one individual from others. There is no restriction on the face images fed into the algorithm, which makes it practical for real-life applications. In the experiments, IDS is tested on two large face databases with extensive variations and performs significantly better than 12 existing FR techniques.

Designing the temporal aspects of the user interface: Views from the coal face

We aim to support user interface designers in capturing, representing and reasoning about temporal information. We have developed a method to support user interface designers in considering how the temporal aspects of software impact the user. Importantly the method is based on a detailed analysis of data from a set of situated interviews that capture the views of practicing user interface designers. This paper discusses the background research and the motivation for the method.

Screening Michael Jackson's face : reading Martin Bashir's living with Michael Jackson

The screening of Martin Bashir's Living with Michael Jackson on Australian television elicited a phenomenal amount of interest in the news media, at water coolers and on the Internet. Much of the response in the Australian print media was critical of Bashir's representation of Jackson, as well as denouncing Jackson as sad victim, warped predator and allround freakshow. This article considers these interpretations to argue that the production and consumption of 'wacko Jacko' is underpinned by the increasing instability of the natural in an age of information technologies, as well as the collapse of boundaries between documentary and fictional entertainment forms.