55 research outputs found
The Impact of Nutrition and Health Claims on Consumer Perceptions and Portion Size Selection: Results from a Nationally Representative Survey
Nutrition and health claims on foods can help consumers make healthier food choices. However, claims may have a âhaloâ effect, influencing consumer perceptions of foods and increasing consumption. Evidence for these effects are typically demonstrated in experiments with small samples, limiting generalisability. The current study aimed to overcome this limitation through the use of a nationally representative survey. In a cross-sectional survey of 1039 adults across the island of Ireland, respondents were presented with three different claims (nutrition claim = âLow in fatâ; health claim = âWith plant sterols. Proven to lower cholesterolâ; satiety claim = âFuller for longerâ) on four different foods (cereal, soup, lasagne, and yoghurt). Participants answered questions on perceived healthiness, tastiness, and fillingness of the products with different claims and also selected a portion size they would consume. Claims influenced fillingness perceptions of some of the foods. However, there was little influence of claims on tastiness or healthiness perceptions or the portion size selected. Psychological factors such as consumersâ familiarity with foods carrying claims and belief in the claims were the most consistent predictors of perceptions and portion size selection. Future research should identify additional consumer factors that may moderate the relationships between claims, perceptions, and consumption
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
Traversing terrain with good traction is crucial for achieving fast off-road
navigation. Instead of manually designing costs based on terrain features,
existing methods learn terrain properties directly from data via
self-supervision, but challenges remain to properly quantify and mitigate risks
due to uncertainties in learned models. This work efficiently quantifies both
aleatoric and epistemic uncertainties by learning discrete traction
distributions and probability densities of the traction predictor's latent
features. Leveraging evidential deep learning, we parameterize Dirichlet
distributions with the network outputs and propose a novel uncertainty-aware
squared Earth Mover's distance loss with a closed-form expression that improves
learning accuracy and navigation performance. The proposed risk-aware planner
simulates state trajectories with the worst-case expected traction to handle
aleatoric uncertainty, and penalizes trajectories moving through terrain with
high epistemic uncertainty. Our approach is extensively validated in simulation
and on wheeled and quadruped robots, showing improved navigation performance
compared to methods that assume no slip, assume the expected traction, or
optimize for the worst-case expected cost.Comment: Under review. Journal extension for arXiv:2210.00153. Project
website: https://xiaoyi-cai.github.io/evora
M. Singer, Man's Glassy Essence. Explorations in Semiotic Anthropology
Bucher Bernadette. M. Singer, Man's Glassy Essence. Explorations in Semiotic Anthropology. In: L'Homme, 1987, tome 27 n°103. pp. 133-134
7. MĂ©tamorphoses de la chasse Ă courre
Plus quâaucune tradition, la chasse Ă courre peut apparaĂźtre comme une survivance, voire un anachronisme au milieu des mutations technologiques, Ă©conomiques et sociales quâa connues la rĂ©gion depuis trente ans. Avec son cĂ©rĂ©monial et ses rĂšgles Ă©laborĂ©es sous des formes multiples (houraillement*, petite et grande vĂ©nerie) de lâĂ©poque gallo-romaine jusquâaux Valois, codifiĂ©e sous sa forme plus restreinte et raffinĂ©e en de savants traitĂ©s du xive au xviiie siĂšcle, la chasse Ă courre Ă©voque les ..
Ensembles infinis et histoire-mythe. Inconscient structural et inconscient psychanalytique
Bucher Bernadette. Ensembles infinis et histoire-mythe. Inconscient structural et inconscient psychanalytique. In: L'Homme, 1981, tome 21 n°3. pp. 5-26
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