Assessing parental preferences regarding a plant-based game for educating children about more sustainable and healthier diets

Environmental damage or health concerns related to diet are some alarming consequences of our behaviour in the near future. Consumers can make a difference depending on their eating behaviour and conscientiousness about minimizing environmental damage. One way to make children more aware of the environment and induce them to eat healthier food in the future might be educational games where they could learn the importance of the environment and the effect of the food they eat on their health status. In this study, we investigated parental behaviour when feeding their children and their willingness to pay for a game product with educational and eating functions. The sample consisted of 300 parents of children aged from 4 to 12. A hypothetical choice experiment has been used and a latent class model estimated the parents’ preferences for a plant-based product game carrying two attributes, namely, the price and narrative context of the game The results indicated that parents were willing to pay more for a product with a storybook related to healthy eating habits or recycling than one with no storybook. Moreover, two dominant feeding styles in households were found: indulgent parents and uninvolved parents. This alternative approach is oriented toward educating people from the early stages of their lives, creating a favourable environment for the development of preferences for healthier food. © 2021 by the authors. Licensee MDPI, Basel, Switzerland

Process and system for automatically managing procedures, activities and workflows in the construction industry

A process and a system are disclosed for automatically managing activities and workflows in the construction industry. The process substantially comprises the steps of: connecting (F1) users (1) to a managing and processing unit (2); accessing (F2) to a reserved area (3) stored on the unit (2); displaying and possibly modifying (F3) the data within the area (3), in which such data are accessible to the user (1) in an exclusive and ordered way according to a hierarchical pipeline with a "parent - son" and a "predecessor - successor" attribute for every data; managing (F4) procedures related to constructions based on such data; and possibly programming and customising (F5) the data structure stored in the unit (2) by a user (1) having a system administrator profile

Evaluation of project management practices in the automotive original equipment manufacturers

This paper aims at understanding the current perceptions related to the Project Management (PM) practices in the automotive sector. To this end, a questionnaire is administrated to professionals and data are analyzed via the Kruskal-Wallis test. Results show that the ICT function is poorly oriented to PM, especially for professionals with longer experience. On the contrary, the logistics function might exploit the benefits of PM tools. PM is also considered a lever for increasing the firm's reputation. This work demonstrates that PM is a challenge for future developments of organizations and it shows its importance in the automotive industry that involves increasingly complex projects

A Neural network based observation operator for coupled ocean acoustic variational data assimilation

Variational data assimilation requires implementing the tangent-linear and adjoint (TA/AD) version of any operator. This intrinsically hampers the use of complicated observations.Here, we assess a new data-driven approach to assimilate acoustic underwater propagation measurements [transmission loss (TL)] into a regional ocean forecasting system. TL measurements depend on the underlying sound speed fields, mostly temperature, and their inversion would require heavy coding of the TA/AD of an acoustic underwater propagation model. In this study, the nonlinear version of the acoustic model is applied to an ensemble of perturbed oceanic conditions. TL outputs are used to formulate both a statistical linear operator based on canonical correlation analysis (CCA), and a neural network based (NN) operator. For the latter, two linearization strategies are compared, the best-performing one relying on reverse-mode automatic differentiation. The new observation operator is applied in data assimilation experiments over the Ligurian Sea (Mediterranean Sea), using the observing system simulation experiments (OSSE) methodology to assess the impact of TL observations onto oceanic fields. TL observations are extracted from a nature run with perturbed surface boundary conditions and stochastic ocean physics. Sensitivity analyses indicate that theNNreconstruction of TL is significantly better than CCA. BothCCAandNNare able to improve the upper-ocean skill scores in forecast experiments, with NN outperforming CCA on the average. The use of the NN observation operator is computationally affordable, and its general formulation appears promising for the adjoint-free assimilation of any remote sensing observing network. SIGNIFICANCE STATEMENT: Deep learning algorithms are now widely spread in a diverse range of fields to help with solving automatic classification and regression problems. Here, we present and assess a strategy aimed at introducing an observation operator based on neural networks in data assimilation. Linearization of such an operator, required by variational schemes, is also discussed and implemented. The methodology is applied to the coupled oceanic acoustic data assimilation problem, and provides promising results. Our approach may be extended in the future to assimilate any remotely sensed type of observations

Bias in protein and potassium intake collected with 24-h recalls (EPIC-Soft) is rather comparable across European populations

Purpose: We investigated whether group-level bias of a 24-h recall estimate of protein and potassium intake, as compared to biomarkers, varied across European centers and whether this was influenced by characteristics of individuals or centers. Methods: The combined data from EFCOVAL and EPIC studies included 14 centers from 9 countries (n = 1,841). Dietary data were collected using a computerized 24-h recall (EPIC-Soft). Nitrogen and potassium in 24-h urine collections were used as reference method. Multilevel linear regression analysis was performed, including individual-level (e.g., BMI) and center-level (e.g., food pattern index) variables. Results: For protein intake, no between-center variation in bias was observed in men while it was 5.7% in women. For potassium intake, the between-center variation in bias was 8.9% in men and null in women. BMI was an important factor influencing the biases across centers (p <0.01 in all analyses). In addition, mode of administration (p = 0.06 in women) and day of the week (p = 0.03 in men and p = 0.06 in women) may have influenced the bias in protein intake across centers. After inclusion of these individual variables, between-center variation in bias in protein intake disappeared for women, whereas for potassium, it increased slightly in men (to 9.5%). Center-level variables did not influence the results. Conclusion: The results suggest that group-level bias in protein and potassium (for women) collected with 24-h recalls does not vary across centers and to a certain extent varies for potassium in men. BMI and study design aspects, rather than center-level characteristics, affected the biases across center

Topical Review on "Beta-beams"

Neutrino physics is traversing an exciting period, after the important discovery that neutrinos are massive particles, that has implications from high-energy physics to cosmology. A new method for the production of intense and pure neutrino beams has been proposed recently: the ``beta-beam''. It exploits boosted radioactive ions decaying through beta-decay. This novel concept has been the starting point for a new possible future facility. Its main goal is to address the crucial issue of the existence of CP violation in the lepton sector. Here we review the status and the recent developments with beta-beams. We discuss the original, the medium and high-energy scenarios as well as mono-chromatic neutrino beams produced through ion electron-capture. The issue of the degeneracies is mentioned. An overview of low energy beta-beams is also presented. These beams can be used to perform experiments of interest for nuclear structure, for the study of fundamental interactions and for nuclear astrophysics.Comment: Topical Review for Journal of Physics G: Nuclear and Particle Physics, published version, minor corrections, references adde