Most severe mental disorders have their onset between the age of 17 and 27, a time when many young adults begin participating in secondary or post-secondary education. The cognitive deficits typically associated with psychiatric disorders, especially psychotic disorders, increase the risk of leaving school early, which can lead to a reduction in employment opportunities later on in life and, in turn, a poorer long-term prognosis. Therefore, specific interventions aiming to improve these cognitive functions are needed. Cognitive remediation (CR) aims to improve cognitive functioning and may increase real-world functioning in educational performance. This study aims to examine the feasibility and applicability of a CR training named Mindset for students with psychotic disorders in the Netherlands.
Full text beschikbaar met HU-account. Since the 2010s, various companies have begun to manufacture wearable smartwatch devices, but the current sales of these products are not impressive. This study investigates how the limitations of the smartwatch are related to perceptual discomforts. Theoretically, this study evaluates the claim that the discomfort that users appear to have with the smartwatch stem from failed remediation. Users perceive the smartwatch more as a set of functional sensors rather than a watch or smartphone. Specifically, from the remediation perspective, the authors asked how users perceive the functions of the smartwatch. This study used dynamic topic modeling for topics on the smartwatch on Reddit. This study reports that the smartwatch has failed to provide a proper way to use the remediated content that it provides. Suggestions for future studies are addressed.
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Urgent publishing pertains both to timeliness and relevance. What strategies are available to publishers in the cultural and research domains to conceive, produce, and position their contents in an urgent way? Revolving around the key notions of relations, trust, and remediation, Here and Now? Explorations in Urgent Publishing presents methods and prototypes that counter the contemporary speedy information sphere in new and different ways. It develops a situated account of hybrid publishing, where authors, editors, publishers, designers, and readers operate together.
In this project, immersive media (XR, VR, AR) are created and tested as a remediation strategy to help improve the experience of existing TV content and reach and engage both new and existing target groups more effectively. In this project, students and alumni from AGM and Queensland University of Technology (QUT) work together under the supervision of the R&D department from the professorship Digital Media Concepts and QUT to develop innovative immersive media products based on existing TV productions from Banijay. Banijay is the largest independent production and distribution company in the world. Banijay will provide the challenges, content and feedback on the students’ progress and skills during the (VIS) project, and will offer the opportunity to work on existing international productions with real expectations and demands, and the opportunity to actually market the concepts the students develop. Several new concepts are now in production stage to be released and tested.
Ondanks het feit dat de luchtvervuiling in verloop van de jaren in Europa is teruggebracht, overschrijden de fijnstofconcentraties en stikstof gerelateerde verbindingen nog altijd de normen van de Wereldgezondheidsorganisatie. Op het moment is veel aandacht voor het reduceren van de uitstoot van fijnstof door het wegverkeer in Nederland en Duitsland. Nationale en Europese overheden hebben ingezet op twee routes om uitstoot van fijnstof en stikstofdioxide te verminderen. Ten eerste wil men luchtverontreiniging preventief reduceren bij de bron. Een voorbeeld is het verbieden van het rijden met vervuilende auto’s in steden, het verlagen van maximale snelheden op wegen en het terugbrengen van het vee op boerderijen. De tweede route is het reinigen van fijnstof uit de lucht met behulp van mechanische, chemische en natuurlijke technieken. Op dit moment bestaan er echter geen energiezuinige methoden die significant bijdragen aan het reinigen van schadelijke stoffen uit de lucht. Micro-organismen bieden interessante mogelijkheden voor een energiezuinige vermindering van schadelijke stoffen op basis van bioremediation principes. Het doel van dit onderzoek is om potentiële mogelijkheden te verkennen om luchtverontreinigende stoffen door middel van micro-organismen te verminderen.
Despite the benefits of the widespread deployment of diverse Internet-enabled devices such as IP cameras and smart home appliances - the so-called Internet of Things (IoT) has amplified the attack surface that is being leveraged by cyber criminals. While manufacturers and vendors keep deploying new products, infected devices can be counted in the millions and spreading at an alarming rate all over consumer and business networks. The objective of this project is twofold: (i) to explain the causes behind these infections and the inherent insecurity of the IoT paradigm by exploring innovative data analytics as applied to raw cyber security data; and (ii) to promote effective remediation mechanisms that mitigate the threat of the currently vulnerable and infected IoT devices. By performing large-scale passive and active measurements, this project will allow the characterization and attribution of compromise IoT devices. Understanding the type of devices that are getting compromised and the reasons behind the attacker’s intention is essential to design effective countermeasures. This project will build on the state of the art in information theoretic data mining (e.g., using the minimum description length and maximum entropy principles), statistical pattern mining, and interactive data exploration and analytics to create a casual model that allows explaining the attacker’s tactics and techniques. The project will research formal correlation methods rooted in stochastic data assemblies between IoT-relevant measurements and IoT malware binaries as captured by an IoT-specific honeypot to aid in the attribution and thus the remediation objective. Research outcomes of this project will benefit society in addressing important IoT security problems before manufacturers saturate the market with ostensibly useful and innovative gadgets that lack sufficient security features, thus being vulnerable to attacks and malware infestations, which can turn them into rogue agents. However, the insights gained will not be limited to the attacker behavior and attribution, but also to the remediation of the infected devices. Based on a casual model and output of the correlation analyses, this project will follow an innovative approach to understand the remediation impact of malware notifications by conducting a longitudinal quasi-experimental analysis. The quasi-experimental analyses will examine remediation rates of infected/vulnerable IoT devices in order to make better inferences about the impact of the characteristics of the notification and infected user’s reaction. The research will provide new perspectives, information, insights, and approaches to vulnerability and malware notifications that differ from the previous reliance on models calibrated with cross-sectional analysis. This project will enable more robust use of longitudinal estimates based on documented remediation change. Project results and methods will enhance the capacity of Internet intermediaries (e.g., ISPs and hosting providers) to better handle abuse/vulnerability reporting which in turn will serve as a preemptive countermeasure. The data and methods will allow to investigate the behavior of infected individuals and firms at a microscopic scale and reveal the causal relations among infections, human factor and remediation.
