The Dutch version of the Brief Illness Perception Questionnaire is an appropriate instrument for measuring patients' perceptions in acute low back pain patients, showing acceptable internal consistency and reliability. Concurrent validity is adequate, however, the instrument may be unsuitable for detecting changes in low back pain perception over time.
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Since the arrival of cinema, film theorists have studied how spectators perceive the representations that the medium offers to our senses. Early film theorists have bent their heads over what cinema is, how cinema can be seen as art, but also over what cinema is capable of. One of the earliest film theorists, Hugo Münsterberg argued in 1916 that the uniqueness of cinema, or as he calls it photoplay, lies in the way it offers the possibility to represent our mental perception and organisation of the reality, or the world we live in: “the photoplay tells us the human story by overcoming the forms of the outer world, namely, space, time, and causality, and by adjusting the events to the forms of the inner world, namely, attention, memory, imagination, and emotion” (Münsterberg [1916] 2004, 402)
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Supervision meetings give teachers and students opportunities to interact with each other and to co-regulate students’ learning processes. Co-regulation refers to the transitional process of a student who is becoming a self-regulated learner by interacting with a more capable other such as a teacher. During a task, teachers are expected to pull back their support and give opportunities to students to take responsibility. This study aims to explore the shifting patterns of co-regulation, feedback perception, and motivation during a 5-month research project. Participants were 20 students conducting research in pairs and six teachers who supervised these students. Two videotaped supervision meetings at the beginning and end of the research process and questionnaires on feedback perception and motivation were analysed. Results on co-regulation showed a constant and comparable level of regulation at the start and at the end of students’ research projects. Feedback perception did not change, but motivation decreased significantly.
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Hoewel drones worden gebruikt in steeds toenemende civiele toepassingen voor een goede daad, zijn kwaadwillende drones ook steeds meer en steeds vaker worden ingezet om schade aan te richten. Huis, tuin en keukendrones zijn in staat om door te dringen tot zwaarbeveiligde gebieden en daar verwoestende schade aan te brengen. Ze zijn goedkoop, precies en kunnen steeds grotere afstanden afleggen. Kwaadwillende drones vormen een groot gevaar voor de nationale veiligheid. In dit KIEM-project onderzoeken wij de vraag in hoeverre is het mogelijk om drones te ontwikkelen die volledig autonoom een ongecontroleerde omgeving (luchtruim) veilig kunnen houden? Counter drones moeten kamikaze-drones kunnen signaleren en uitschakelen. Bestaande systemen zijn nog onvoldoende in staat om kwaadwillende drones op tijd uit te schakelen. Bij Defensie, de Nationale Politie en het gevangeniswezen is dringend behoefte aan systemen die kwaadwillende drones kunnen detecteren en uitschakelen. Er zijn thans enkele (Europese) systemen waarmee drones kunnen worden gedetecteerd, onder andere met radiofrequentiesignalen (voelen), optische- en radartechnologie (zien) en akoestische systemen (horen). Geen van deze systemen vormen de ‘silver bullet’ voor het bestrijden van kwaadwillende drones, vooral kleine en laagvliegende drones. Met een feasibility study wordt nagegaan wat de state-of-the-art is van de huidige counter dronetechnologieën en op welke technologiedomeinen het consortium waarde kan toevoegen aan de ontwikkeling van effectieve counter drones. Saxion en haar partners zet zich de komende jaren in op Sleuteltechnologieën als: Human Robotic Interaction, Perception, Navigation, Systems Development, Mechatronics en Cognition. Technologieën die terugkomen in counter drones, maar ook worden doorontwikkeld voor andere toepassingsgebieden. Het project bestaat uit 4 fasen: een onderzoek naar de huidige counter dronetechnologieën (IST), onderzoek naar gewenste/toekomstige counter dronetechnologieën (SOLL), een gap-analyse (TOR) én een omgevingsanalyse om na te gaan wat er elders in Europa al aan onderzoek plaatsvindt. Tevens wordt een netwerk ontwikkeld om counter droneontwikkeling mogelijk te maken.
Receiving the first “Rijbewijs” is always an exciting moment for any teenager, but, this also comes with considerable risks. In the Netherlands, the fatality rate of young novice drivers is five times higher than that of drivers between the ages of 30 and 59 years. These risks are mainly because of age-related factors and lack of experience which manifests in inadequate higher-order skills required for hazard perception and successful interventions to react to risks on the road. Although risk assessment and driving attitude is included in the drivers’ training and examination process, the accident statistics show that it only has limited influence on the development factors such as attitudes, motivations, lifestyles, self-assessment and risk acceptance that play a significant role in post-licensing driving. This negatively impacts traffic safety. “How could novice drivers receive critical feedback on their driving behaviour and traffic safety? ” is, therefore, an important question. Due to major advancements in domains such as ICT, sensors, big data, and Artificial Intelligence (AI), in-vehicle data is being extensively used for monitoring driver behaviour, driving style identification and driver modelling. However, use of such techniques in pre-license driver training and assessment has not been extensively explored. EIDETIC aims at developing a novel approach by fusing multiple data sources such as in-vehicle sensors/data (to trace the vehicle trajectory), eye-tracking glasses (to monitor viewing behaviour) and cameras (to monitor the surroundings) for providing quantifiable and understandable feedback to novice drivers. Furthermore, this new knowledge could also support driving instructors and examiners in ensuring safe drivers. This project will also generate necessary knowledge that would serve as a foundation for facilitating the transition to the training and assessment for drivers of automated vehicles.
The Healthy Workplace monitor is being developed to monitor the health and well-being of knowledge workers in relation to the office space and their home workplace. Since the corona period, a lot has changed in the way knowledge workers work. Both offices and employees require more flexibility to carry out work in an efficient but also healthy and enjoyable way. It is important to identify office workers needs with regard to workspaces at the office and at home from a holistic view, in which mental , physical and social aspects play a role. A vital, happy employee is a productive employee.