This report aims at sharing knowledge relevant for sustainabili- ty-oriented studies and actions in the Dutch apparel sector, with a focus on clothing volumes. The apparel industry is said to be one of the most polluting at a global level; however, we nd that dis- cussions of its environmental challenges or the actions needed to tackle them are often based on super cial or unreliable information. This information is frequently disseminated by word of mouth and non-scienti c texts and nally accepted as valid. Moreover, some actors working on practice-based solutions for the environmen- tal challenges of the apparel industry build solutions and projects based on these ‘facts’. As a result, these actors risk focussing on topics that are not as critical or relevant as was originally thought. Clear, reliable data is needed to pinpoint the true challenges and bottlenecks within the fashion system.
OBJECTIVE: The objective was to assess swallowing, mouth opening and speech function during the first year after radiation-based treatment (RT(+)) after introduction of a dedicated preventive rehabilitation program for stage III-IV oropharyngeal carcinoma (OPC).METHODS: Swallowing, mouth opening and speech function were collected before and at six- and twelve-month follow-up after RT(+) for OPC as part of ongoing prospective assessments by speech-language pathologists .RESULTS: Objective and patient-perceived function deteriorated until 6 months and improved until 12 months after treatment, but did not return to baseline levels with 25%, 20% and 58% of the patients with objective dysphagia, trismus and speech problems, respectively. Feeding tube dependency and pneumonia prevalence was low.CONCLUSION: Despite successful implementation, a substantial proportion of patients still experience functional limitations after RT(+) for OPC, suggesting room for improvement of the current rehabilitation program. Pretreatment sarcopenia seems associated with worse functional outcomes and might be a relevant new target for rehabilitation strategies.
from the article: "In the Netherlands, housing corporations are increasingly adopting self-service technologies (SSTs) to support affairs their tenants need to arrange. The purpose of the study is to examine the customers’ motivations of using SSTs in the context of the Dutch public housing sector. An empirical investigation is presented based on a sample of 1,209 tenants. Using partial least squares (PLS), the acceptance model of Blut, Wang, and Schoefer is adopted and tested. The results show that especially the need for interaction negatively influence the adoption of SSTs by tenants. Positively, subjective norm and self-efficacy influence the adoption. Furthermore, playfulness negatively influences this adoption. Developers of SSTs should focus on its ulitalitarian function, rather then invest in its playfulness. Moreover, adoption is propelled by the encouragement of others. This can be enhanced by positive word-of mouth and should therefore stimulated."
We propose to do an experimental study in which we will use 360 video and still photo simulations that portray varying levels of crowding. Simulations will be presented to 25 student participants and 25 older adult participants (65+; a lucrative tourist segment) in an experimental setting while signals of their emotional responses are recorded from their brain (EEG) and body (skin conductivity and heart rate) at our Experience Measurement Lab. A questionnaire will measure their intent to recommend and their willingness to pay for the ‘experiences’ (simulations) they have viewed. Analyses will determine optimal levels of crowding for the quality of the tourist experience, but also for income at the destination, accounting for the fact that a more crowded destination features more potential sources of income (visitors), but each a (possibly) different level of willingness to pay, including potential implications for local tourist taxes. Models will also account for possibly different processes in the two different age groups. Furthermore, modelling word-of-mouth/mouse marketing based on intent to recommend will also make it possible to predict how crowding affects demand long-term. Partner: KU Leuven.
