International Innovation is the leading global dissemination resource for the wider scientific, technology and research communities, dedicated to disseminating the latest science, research and technological innovations on a global level. More information and a complimentary subscription offer to the publication can be found at: www.researchmedia.eu
DOCUMENT
Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for creating new dwellings at NZEB standard. This paper compares the different machine learning algorithms and the methods used to correctly implement the models. These methods include the data pre-processing, model validation and evaluation. Smart meter data was provided by Groene Mient, which was used to train several machine learning algorithms. The models that were generated by the algorithms were compared on their performance. The results showed that Recurrent Neural Network (RNN) 2performed the best with 96% of accuracy. Cross Validation was used to validate the models, where 80% of the data was used for training purposes and 20% was used for testing purposes. Evaluation metrices were used to produce classification reports, which can indicate which of the models work the best for this specific problem. The models were programmed in Python.
DOCUMENT
Machine learning models have proven to be reliable methods in classification tasks. However, little research has been conducted on the classification of dwelling characteristics based on smart meter and weather data before. Gaining insights into dwelling characteristics, which comprise of the type of heating system used, the number of inhabitants, and the number of solar panels installed, can be helpful in creating or improving the policies to create new dwellings at nearly zero-energy standard. This paper compares different supervised machine learning algorithms, namely Logistic Regression, Support Vector Machine, K-Nearest Neighbor, and Long-short term memory, and methods used to correctly implement these algorithms. These methods include data pre-processing, model validation, and evaluation. Smart meter data, which was used to train several machine learning algorithms, was provided by Groene Mient. The models that were generated by the algorithms were compared on their performance. The results showed that the Long-short term memory performed the best with 96% accuracy. Cross Validation was used to validate the models, where 80% of the data was used for training purposes and 20% was used for testing purposes. Evaluation metrics were used to produce classification reports, which indicates that the Long-short term memory outperforms the compared models on the evaluation metrics for this specific problem.
DOCUMENT
The authors investigate the potential of Mixed Reality (MR) games for team building and assessment. The AMELIO game was designed for a highly immersive MR lab. The game is a multi-player team challenge based on the concept of an escape room, staged in a space colony emergency situation. An explorative empirical pre-post measurement study was carried out to establish whether playing AMELIO influences team cohesiveness. Ten teams of three played AMELIO and filled out pre- and post-game questionnaires with validated measurements of team cohesiveness and mediating factors related to team composition, game experience and team dynamics. The findings show a positive and significant increase in team cohesiveness, with stronger effects for teams with lower pre-game familiarity. In terms of game experience and team dynamics, audio aesthetics and empathy proved to be significant mediating factors. This AIDS game validation and improvement, and understanding and guiding the team building process.
LINK
Inleiding Het doel van dit onderzoek was inzicht te krijgen in het gebruik van vitamine D-suppletie onder thuiswonende 70-plussers en dit te vergelijken met de vitamine D-suppletie uit de Voedselconsumptiepeiling 2010-2012 onder 70-plussers (VCP 70+). Als secundaire vraagstelling werd onderzocht of er een samenhang bestaat tussen kwetsbaarheid en het opvolgen van het vitamine D-suppletieadvies. Methode Dit onderzoek werd uitgevoerd als een substudie van een gerandomiseerde interventiestudie, het Consu-MEER-onderzoek. Voor deze substudie werden de nulmetingen van 94 thuiswonende 70-plussers gebruikt. Het gebruik van supplementen die vitamine D bevatten werd nagevraagd en gecategoriseerd als ‘voldoende’ (≥20 μg/dag), ‘onvoldoende’ (<20 μg/dag) of ‘niet’. Kwetsbaarheid werd beoordeeld op basis van de Fried frailty criteria. Een deelnemer werd gecategoriseerd als ‘kwetsbaar’ wanneer 3 van de criteria van toepassing waren, en als ‘pre-kwetsbaar’ wanneer 1 of 2 van de criteria van toepassing waren. Eventuele verschillen met de gerapporteerde vitamine D-suppletie uit de VCP 70+ werden getoetst met binomiale toetsen. De Fisher’s exact test werd gebruikt om de samenhang tussen vitamine D-suppletie en kwetsbaarheid te toetsen. Resultaten Het percentage thuiswonende ouderen (gemiddelde leeftijd 80,8 jaar, 61,7% vrouw) dat zich hield aan het vitamine D-suppletieadvies was 51% (mannen 44,4%, vrouwen 55,2%). Dit was significant hoger dan de suppletie onder de VCP-populatie (23%, p<0,001). Zeven deelnemers werden gecategoriseerd als ‘kwetsbaar’, 42 als ‘pre-kwetsbaar’. Er was geen verschil in suppletie conform advies tussen de drie kwetsbaarheidscategorieën (p=0,387). Conclusie Dit onderzoek laat zien dat het vitamine D-suppletieadvies voor ouderen van 70 jaar en ouder van de Gezondheidsraad nog steeds onvoldoende wordt opgevolgd, ook door meer kwetsbare thuiswonende ouderen. Blijvende aandacht voor adequate suppletie blijft noodzakelijk. Tevens wordt aanbevolen om ook de meer kwetsbare groep mee te nemen in de komende VCP.
DOCUMENT
Het doel van de studie Consumenten Bewuster Eiwitrijk was om Nederlandse ouderen bewuster te maken van het belang van voldoende eiwit bij gezond en vitaal ouder worden. Verder wilden we meer inzicht krijgen in hoe we hen kunnen ondersteunen, zodat ze zelf in staat zijn om goede keuzes te maken.
DOCUMENT
Background and aim: The Patient-Generated Subjective Global Assessment (PG-SGA©) is a globally used malnutrition screening, assessment, triage and monitoring tool. The aim of this study was to perform a linguistic and content validation of the translated and culturally adapted version of the PG-SGA for the Danish setting. Method: The study was conducted according to the International Society of Pharmaeconomics and Outcomes Research (ISPOR) Principles of Good Practice for the Translational and Cultural Adaptation Process for Patient-Reported Outcomes Measures. Cancer patients (n = 121) and healthcare professionals (HCPs, n = 80) participated in the cognitive debriefing. A questionnaire was used in the cognitive debriefing in which comprehensibility, difficulty, and content validity (relevance) were quantified by a 4-point scale. Item and scale indices were calculated using the average item ratings divided by the number of respondents for content validity (Item-CVI, Scale-CVI), comprehensibility (Item-CI, Scale-CI) and difficulty (Item-DI, Scale-DI). As pre-defined, item indices
DOCUMENT
Background Physical activity after bariatric surgery is associated with sustained weight loss and improved quality of life. Some bariatric patients engage insufficiently in physical activity. The aim of this study was to examine whether and to what extent both physical activity and exercise cognitions have changed at one and two years post-surgery, and whether exercise cognitions predict physical activity. Methods Forty-two bariatric patients (38 women, 4 men; mean age 38 ± 8 years, mean body mass index prior to surgery 47 ± 6 kg/m²), filled out self-report instruments to examine physical activity and exercise cognitions pre- and post surgery. Results Moderate to large healthy changes in physical activity and exercise cognitions were observed after surgery. Perceiving less exercise benefits and having less confidence in exercising before surgery predicted less physical activity two years after surgery. High fear of injury one year after surgery predicted less physical activity two years after surgery. Conclusion After bariatric surgery, favorable changes in physical activity and exercise cognitions are observed. Our results suggest that targeting exercise cognitions before and after surgery might be relevant to improve physical activity.
MULTIFILE
A case study and method development research of online simulation gaming to enhance youth care knowlegde exchange. Youth care professionals affirm that the application used has enough relevance as an additional tool for knowledge construction about complex cases. They state that the usability of the application is suitable, however some remarks are given to adapt the virtual environment to the special needs of youth care knowledge exchange. The method of online simulation gaming appears to be useful to improve network competences and to explore the hidden professional capacities of the participant as to the construction of situational cognition, discourse participation and the accountability of intervention choices.
DOCUMENT
Cad Cam in de orthopedie techniek. Een technisch hoofdstuk over het gebruik en de toepassing van Cad Cam technologie in de orthopedie. Dit hoofstuk is onderdeel van het boek " Amputatie en prothesiologie van de onderste extremiteit", onder redactie van prof. dr. J.H.B. Geertzen en dr. J.S. Rietman. Dit boek wordt onder andere gebruitk in de opleiding Revalidatie Geneeskunde en de Hogere Beroepsopleiding Orthopedische Technologie
DOCUMENT
