Wireless sensor networks are becoming popular in the field of ambient assisted living. In this paper we report our study on the relationship between a functional health metric and features derived from the sensor data. Sensor systems are installed in the houses of nine people who are also quarterly visited by an occupational therapist for functional health assessments. Different features are extracted and these are correlated with a metric of functional health (the AMPS). Though the sample is small, the results indicate that some features are better in describing the functional health in the population, but individual differences should also be taken into account when developing a sensor system for functional health assessment.
Ambient activity monitoring systems produce large amounts of data, which can be used for health monitoring. The problem is that patterns in this data reflecting health status are not identified yet. In this paper the possibility is explored of predicting the functional health status (the motor score of AMPS = Assessment of Motor and Process Skills) of a person from data of binary ambient sensors. Data is collected of five independently living elderly people. Based on expert knowledge, features are extracted from the sensor data and several subsets are selected. We use standard linear regression and Gaussian processes for mapping the features to the functional status and predict the status of a test person using a leave-oneperson-out cross validation. The results show that Gaussian processes perform better than the linear regression model, and that both models perform better with the basic feature set than with location or transition based features. Some suggestions are provided for better feature extraction and selection for the purpose of health monitoring. These results indicate that automated functional health assessment is possible, but some challenges lie ahead. The most important challenge is eliciting expert knowledge and translating that into quantifiable features.
BACKGROUND: There are no validated assessment tools for evaluating quality of schoolwork task performance of children living in German-speaking Europe (GSE).OBJECTIVE: To determine whether the international age-normative means of the School Version of the Assessment of Motor and Process Skills (School AMPS) are valid for use in GSE.METHODS: The participants were 159 typically-developing children, 3-12 years, from GSE. We examined the proportions of School AMPS measures falling within ±2 standard deviation (SD) of the international age-normative means, and evaluated for significant group differences (p < 0.05) in mean School AMPS measures between the GSE sample and the international age-normative sample using one-sample Z tests. When significant mean differences were found, we evaluated if the differences were clinically meaningful.RESULTS: At least 95% of the GSE School AMPS measures fell within ±2 SD of the international age-normative means for the School AMPS. The only significant mean differences were for 6- (p < 0.01) and 8-year-olds (p = 0.02), and only the 6-year-old school process mean difference was clinically meaningful.CONCLUSIONS: Because the only identified clinically meaningful difference was associated with likely scoring error of one rater, the international age-normative means of the School AMPS appear to be valid for use with children in GSE.
Pre-eclampsia (PE) is a common and severe pregnancy complication and is associated with substantial perinatal morbidity and mortality in mothers and infants. The disease is often characterized by a non-specific presentation which makes it challenging for physician to diagnose PE during regular pregnancy check-ups. To date, there are no diagnostic tests on the market for detection of PE early in pregnancy (first trimester). In this project, we will develop a platform to sensitively analyse calcium-binding proteins (CBPs) which will unlock the full potential of CBPs as predictive PE markers. The technology will also be applicable for other diseases (e.g., dementia and cancer) where CBPs are also known to play a key role in disease pathophysiology. We will develop with phage display antibodies that can recognize calcium binding to specific motifs in proteins. To this end we will synthesize peptide motifs with and without calcium to select antibodies that are specific for calcium bound proteins. These antibodies will be validated for their clinical use. For this goal we will use serum samples from the Improved studie (EU subsidised study) to determine if we can recognize pre-eclampsia in a very early stage. This knowledge can lead to a better treatment of pregnant women suffering from this disease and also will probably increase the well-being for the baby born and the development further in life.
Dit project omvat een verkennend onderzoek dat beoogt de technische route, de scope en de randvoorwaarden van de energietransitie op vakantieparken en campings in beeld te brengen. De sector voor vakantieparken en campings zal, net als alle andere sectoren, binnen dertig jaar nul-emissies van broeikasgassen moeten bereiken. De gemeente Goeree-Overflakkee en de Provincie Zuid-Holland zijn voornemens om een project op te zetten om de voor Goeree-Overflakkee belangrijke sector te helpen de energietransitie te maken. De gemeente en provincie willen graag antwoord op de vraag welke kennis en welke partijen nodig zijn om de duurzaamheidsdoelstelling zodanig in een beleidsproces te gieten dat de belangen van de vele stakeholders in deze sector samenkomen op een wijze dat de doelstelling gehaald wordt.This project entails an exploratory study that aims to map the technical route, scope and preconditions of the energy transition at holiday parks and campsites. The holiday park and camping sector, like all other sectors, will have to achieve zero greenhouse gas emissions within thirty years. The municipality of Goeree-Overflakkee and the Province of South Holland intend to set up a project to help this important sector on Goeree-Overflakkee to make the energy transition. The municipality and province would like an answer to the question of what knowledge and which parties are needed to put the sustainability objective into a policy process in such a way that the interests of the many stakeholders in this sector come together in a way that the objective is achieved.
Gender barriers are a complex problem, as they are created and maintained by multiple dimensions of our societal system; governments, the corporate world, and by society itself. Within the hospitality industry, one of the most people-oriented sectors there is, gender barriers are especially a problem. Although there is equality amongst the entire Dutch hospitality sector in general (48.2% women, (CBS, 2022)), only 17% of top-management positions within the 5 largest hotel-chains in the country are occupied by women (Hampshire Hotel Group, 2022; Accor Group, 2022; van der Valk International, 2022; NH Hotels, 2022; NIBC, 2022). With the hospitality industry revolving around people and experiences, it is of utmost importance that it represents the actual world-population and society. In order to address the current challenges the industry is facing, it is time to face the elephant in the room; why don’t women get included in top and senior management within the hospitality industry as much as men do? This trajectory aims to identify where gender barriers occur within the Dutch hospitality industry and accordingly develop, and test interventions (enablers) together with two of the largest hotel-chains in the Netherlands, in order to improve women career advancement. The first phases of the trajectory will focus on the entire Dutch hotel sector, while the intervention phase will only be executed in collaboration with NH Hotels and IHG. The final phase of the trajectory will explore the implications of the findings from the industry to hospitality management education. By enabling more women to advance their hospitality careers, this will have a large impact on the industry’s sustainability and resilience, and again positively impact wider society.
