58 research outputs found
Identification of hip fracture patients from radiographs using Fourier analysis of the trabecular structure: a cross-sectional study
Peer reviewedPublisher PD
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Shading Beats Binocular Disparity in Depth from Luminance Gradients: Evidence against a Maximum Likelihood Principle for Cue Combination
Perceived depth is conveyed by multiple cues, including binocular disparity and luminance shading. Depth perception from luminance shading information depends on the perceptual assumption for the incident light, which has been shown to default to a diffuse illumination assumption. We focus on the case of sinusoidally corrugated surfaces to ask how shading and disparity cues combine defined by the joint luminance gradients and intrinsic disparity modulation that would occur in viewing the physical corrugation of a uniform surface under diffuse illumination. Such surfaces were simulated with a sinusoidal luminance modulation (0.26 or 1.8 cy/deg, contrast 20%-80%) modulated either in-phase or in opposite phase with a sinusoidal disparity of the same corrugation frequency, with disparity amplitudes ranging from 0’-20’. The observers’ task was to adjust the binocular disparity of a comparison random-dot stereogram surface to match the perceived depth of the joint luminance/disparitymodulated corrugation target. Regardless of target spatial frequency, the perceived target depth increased with the luminance contrast and depended on luminance phase but was largely unaffected by the luminance disparity modulation. These results validate the idea that human observers can use the diffuse illumination assumption to perceive depth from luminance gradients alone without making an assumption of light direction. For depth judgments with combined cues, the observers gave much greater weighting to the luminance shading than to the disparity modulation of the targets. The results were not well-fit by a Bayesian cue-combination model weighted in proportion to the variance of the measurements for each cue in isolation. Instead, they suggest that the visual system uses disjunctive mechanisms to process these two types of information rather than combining them according to their likelihood ratios
A Preliminary Mixed-Method Investigation of Trust and Hidden Signals in Medical Consultations.
Background
Several factors influence patients' trust, and trust influences the doctor-patient relationship. Recent literature has investigated the quality of the personal relationship and its dynamics by considering the role of communication and the elements that influence trust giving in the frame of general practitioner (GP) consultations.
Objective
We analysed certain aspects of the interaction between patients and GPs to understand trust formation and maintenance by focusing on communication channels. The impact of socio-demographic variables in trust relationships was also evaluated.
Method
A cross-sectional design using concurrent mixed qualitative and quantitative research methods was employed. One hundred adults were involved in a semi-structured interview composed of both qualitative and quantitative items for descriptive and exploratory purposes. The study was conducted in six community-based departments adjacent to primary care clinics in Trento, Italy.
Results
The findings revealed that patients trusted their GP to a high extent by relying on simple signals that were based on the quality of the one-to-one communication and on behavioural and relational patterns. Patients inferred the ability of their GP by adopting simple heuristics based mainly on the so-called social \u201chonest signals\u201d rather than on content-dependent features. Furthermore, socio-demographic variables affected trust: less literate and elderly people tended to trust more.
Conclusions
This study is unique in attempting to explore the role of simple signals in trust relationships within medical consultation: people shape trust and give meaning to their relationships through a powerful channel of communication that orbits not around words but around social relations. The findings have implications for both clinicians and researchers. For doctors, these results suggest a way of thinking about encounters with patients. For researchers, the findings underline the importance of analysing some new key factors around trust for future investigations in medical practice and education
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Horizon scan of conservation issues for inland waters in Canada
Horizon scanning is a systematic approach increasingly used to explore emerging trends, issues, opportunities, and threats in conservation. We present the results from one such exercise aimed at identifying emerging issues that could have important scientific, social, technological, and managerial implications for the conservation of inland waters in Canada in the proximate future. We recognized six opportunities and nine challenges, for which we provide research implications and policy options, such that scientists, policy makers, and the Canadian society as a whole can prepare for a potential growth in each of the topic areas we identified. The issues spanned a broad range of topics, from recognizing the opportunities and challenges of community-enabled science and the need to consider the legal rights of nature, to the likely increase of pharmaceuticals in wastewater due to an aging population. These issues represent a first baseline that could help decision makers identify and prioritize efforts while simultaneously stimulate new research avenues. We hope our horizon scan will pave the way for similar exercises related to the conservation of biodiversity in Canada.This project was organized with the support of the Groupe de recherche Interuniversitaire en Limnologie, and the Liber Ero Chair at McGill University. IGE, RB, MC, SJC, AH acknowledge support from the Canada Research Chairs program, and KG, CB and NSG acknowledge funding from the NSERC-funded LakePulse Network. WJS is funded by Arcadia. The authors also thank Sara Pancheri for developing Figure 1a. Finally, we would like to thank Amanda K. Winegardner, who was an active participant in the workshop and provided substantial edits and comments of the manuscript
Interrogating Microfinance Performance beyond Products, Clients and the Environment. Insights from the work of BRAC in Tanzania
The performance of microfinance organisations can depend upon many factors. Current research emphasizes factors pertaining to clients, products, or broader environments. But researchers have paid less attention to the workings and internal systems of microfinance organisations. We explore how variation in performance within an organisation can alter the consequences of loans and their popularity among clients and potential clients. We illustrate with data from BRAC in Tanzania, where the arrival and rapid expansion of BRAC’s microfinance programme provides an apposite case study
Indigenous Principles of Wild Harvest and Management: An Ojibway Community as a Case Study
Deciphering the Code: Evidence for a Sociometric DNA in Design Thinking Meetings
Despite the increased popularity of virtual teams, in-person teamwork remains the dominant way of working. This paper investigates to what extent social signals can be used to infer the work domain of team meetings. It reveals insights into the complex nature of team dynamics, that are not often quantified in literature, during the design thinking process. This was done by using sociometric badges to measure the social interactions of four teams over a three week development cycle. From these interactions we were able to discriminate different modes in the design thinking process used by the teams, indicating that different design thinking modes have different dynamics. Through supervised learning we could predict the modes of Need Finding, Ideation, and Prototyping with F1 scores of 0.76, 0.71, and 0.60 respectively. These performance scores significantly outperformed random baseline models, corresponding to a doubling of F1 score of predicting the positive class, indicating that the models did indeed succeed in predicting design thinking mode. This indicates that wearable social sensors provide useful information in understanding and identifying design thinking modes. These initial findings will serve as a first step towards the development of automated coaches for design thinking teams
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