The platform for open and practice-oriented research

Products 281

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The development of entrepreneurial intention amongst university students

The swift enhancement of technology has affected the business environment as higher education alone no longer plays a definitive role in the employment process. To meet the emerging requirements of employers, individuals, specifically students, need to gain more entrepreneurial tendencies. The aim of this study is to investigate the factors affecting the entrepreneurial intention (EI) of university students. In order to do so, five constructs (EI, individual entrepreneurial orientation (IEO), self-efficacy, environmental support, and knowledge sharing) and their items taken from existing literature were used within the proposed model, and the constructed hypotheses were evaluated using structural equation modelling (SEM). Based on the model, a survey was distributed to 332 students of various universities.Self-efficacy and IEO are expected to be the prime factors affecting EI, whereas environmental support and knowledge sharing are expected to have more of an indirect effect on EI. Overall, this study will help establish the influencers of EI among university students.

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The development of entrepreneurial intention amongst university students

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Two Models of Engineering Education. A first step on the way to Bologna?

The paper summarizes two models for engineering education, as discussed in earlier papers. The first model (Corporate Curriculum) aims to bring Industry into the school, while the second model (I3) intends to bring the school into Industry. The contribution of the presented models to the Bologna Declaration and to the Renaissance Engineer idea are discussed.

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Treatment results with severe psychiatric illness: which method is best suited to denote the outcome of mental health care?

Background: The present study investigates the suitability of various treatment outcome indicators to evaluate performance of mental health institutions that provide care to patients with severe mental illness. Several categorical approaches are compared to a reference indicator (continuous outcome) using pretest-posttest data of the Health of Nation Outcome Scales (HoNOS). Methods: Data from 10 institutions and 3189 patients were used, comprising outcomes of the first year of treatment by teams providing long-term care. Results: Findings revealed differences between continuous indicators (standardized pre-post difference score ES and ΔT) and categorical indicators (SEM, JTRCI, JTCS, JTRCI&CS, JTrevised) on their ranking of institutions, as well as substantial differences among categorical indicators; the outcome according to the traditional JT approach was most concordant with the continuous outcome indicators. Conclusions: For research comparing group averages, a continuous outcome indicator such as ES or ΔT is preferred, as this best preserves information from the original variable. Categorical outcomes can be used to illustrate what is accomplished in clinical terms. For categorical outcome, the classical Jacobson-Truax approach is preferred over the more complex method of Parabiaghi et al. with eight outcome categories. The latter may be valuable in clinical practice as it allows for a more detailed characterization of individual patients.

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Treatment results with severe psychiatric illness: which method is best suited to denote the outcome of mental health care?

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The efficacy of oral and subcutaneous antigen-specific immunotherapy in murine cow's milk- and peanut allergy models

From Pubmed: " BACKGROUND: Antigen-specific immunotherapy (AIT) is a promising therapeutic approach for both cow's milk allergy (CMA) and peanut allergy (PNA), but needs optimization in terms of efficacy and safety. AIM: Compare oral immunotherapy (OIT) and subcutaneous immunotherapy (SCIT) in murine models for CMA and PNA and determine the dose of allergen needed to effectively modify parameters of allergy. METHODS: Female C3H/HeOuJ mice were sensitized intragastrically (i.g.) to whey or peanut extract with cholera toxin. Mice were treated orally (5 times/week) or subcutaneously (3 times/week) for three consecutive weeks. Hereafter, the acute allergic skin response, anaphylactic shock symptoms and body temperature were measured upon intradermal (i.d.) and intraperitoneal (i.p.) challenge, and mast cell degranulation was measured upon i.g. challenge. Allergen-specific IgE, IgG1 and IgG2a were measured in serum at different time points. Single cell suspensions derived from lymph organs were stimulated with allergen to induce cytokine production and T cell phenotypes were assessed using flow cytometry. RESULTS: Both OIT and SCIT decreased clinically related signs upon challenge in the CMA and PNA model. Interestingly, a rise in allergen-specific IgE was observed during immunotherapy, hereafter, treated mice were protected against the increase in IgE caused by allergen challenge. Allergen-specific IgG1 and IgG2a increased due to both types of AIT. In the CMA model, SCIT and OIT reduced the percentage of activated Th2 cells and increased the percentage of activated Th1 cells in the spleen. OIT increased the percentage of regulatory T cells (Tregs) and activated Th2 cells in the MLN. Th2 cytokines IL-5, IL-13 and IL-10 were reduced after OIT, but not after SCIT. In the PNA model, no differences were observed in percentages of T cell subsets. SCIT induced Th2 cytokines IL-5 and IL-10, whereas OIT had no effect. CONCLUSION: We have shown clinical protection against allergic manifestations after OIT and SCIT in a CMA and PNA model. Although similar allergen-specific antibody patterns were observed, differences in T cell and cytokine responses were shown. Whether these findings are related to a different mechanism of AIT in CMA and PNA needs to be elucidated."

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One-year evaluation of people recovering from COVID-19 receiving allied primary healthcare

Background: A Dutch nationwide prospective cohort study was initiated to investigate recovery trajectories of people recovering from coronavirus disease 2019 (COVID-19) and costs of treatment by primary care allied health professionals. Objectives: The study described recovery trajectories over a period of 12 months and associated baseline characteristics of participants recovering from COVID-19 who visited a primary care allied health professional. It also aimed to provide insight into the associated healthcare and societal costs. Methods: Participants completed participant-reported standardized outcomes on participation, health-related quality of life, fatigue, physical functioning, and costs at baseline (ie, start of the treatment), 3, 6, 9 and 12 months. Results: A total of 1451 participants (64 % women, 76 % mild/moderate severity) with a mean (SD) age of 49 (12) years were included. Linear mixed models showed significant and clinically relevant improvements over time in all outcome measures between baseline and 12 months. Between 6 and 12 months, we found significant but not clinically relevant improvements in most outcome measures. Having a worse baseline score was the only baseline factor that was consistently associated with greater improvement over time on that outcome. Total allied healthcare costs (mean €1921; SEM €48) made up about 3% of total societal costs (mean €64,584; SEM €3149) for the average participant in the cohort. Conclusions: The health status of participants recovering from COVID-19 who visited an allied health professional improved significantly over a 12-month follow-up period, but nearly the improvement occurred between baseline and 6 months. Most participants still reported severe impairments in their daily lives, and generated substantial societal costs. These issues, combined with the fact that baseline characteristics explained little of the variance in recovery over time, underscore the importance of continued attention for the management of people recovering from COVID-19. Trial registration: clinicaltrials.gov

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One-year evaluation of people recovering from COVID-19 receiving allied primary healthcare

People 2

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Lobke Elbers

Lead Digital | Pact for Next Tourism Generation Skills

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Gerard Schepers

Professor

Projects 10

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ENTANGLED MACHINES Decolonial Modes of Encounter with Artificial Intelligence

Entangled Machines is a project by Mariana Fernández Mora that interrogates the colonial and extractive legacies underpinning artificial intelligence (AI). By introducing slowness and digital kinship as critical frameworks, the project reconceptualises AI as embedded within intricate social and ecological networks, thereby contesting dominant narratives of efficiency and optimisation. Through participatory, practice-based methodologies such as the Material Playground, the project integrates feminist and non-Western epistemologies to articulate alternative models for ethical, sustainable, and equitable AI practices. Over a four-year period, Entangled Machines develops theory, engages diverse communities, and produces artistic outputs to reimagine human-AI interactions. In collaboration with partners including ARIAS Amsterdam, Archival Consciousness, and the Sandberg Institute, the research seeks to foster decolonial and interdisciplinary approaches to AI. Its culmination will be an “Anarchive” – a curated assemblage of artistic, theoretical, and archival outputs – that serves as a resource for rethinking AI’s socio-political and ecological impacts.

Ongoing

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INTRALOG - A Next Step

Het RaakPRO project INTRALOG (1/9/2015-31/8/2019) heeft inzicht opgeleverd in de toepassing van autonoom rijden op distributiecentra (DCs). Het project heeft door de samenwerking van hogescholen en universiteiten met bedrijven, kenniscentra en branchevertegenwoordigers, op de thema’s businessmodellen en technologische innovatie in de ontwikkeling van autonoom rijden, een uniek resultaat bereikt. Een autonoom rijdende Yard Truck, gestuurd door Multi Agent System voor het beheer van de logistieke infrastructuur op een distributiecentrum. De aansturing en organisatie van de externe logistiek op een distributiecentrum (DC) door een Multi Agent Systeem (MAS), borgt een optimale inzet van autonoom rijdende Yard Trucks. In de ontwikkeling van het MAS is onderzoek uitgevoerd bij de logistieke partners van INTRALOG. Doel was inzicht in de logistieke eisen en randvoorwaarden vervoersbewegingen op DCs en deze te vertalen in kritische prestatie indicatoren (KPIs) voor de autonome Yard Trucks. De realisatie van een autonoom rijdende Yard Truck op modelschaal is gedaan door de ontwikkeling van een rij-robot (controller) die in staat is om los van de infrastructuur een Yard Truck autonoom over en binnen een bestaande infrastructuur te dirigeren. De randvoorwaarden voor het uitvoeren van de voertuigbewegingen van de Yard Truck, zijn voortgekomen uit de KPIs die bepaald zijn aan de hand van de onderzochte businessmodellen. Centraal in de Top-Up staan twee aspecten: 1) de ontwikkeling van een video waarin het autonoom dokken centraal staat dat gestuurd wordt door een MAS-applicatie en 2) een seminar gericht op de toepassing van het resultaat van INTRALOG op distributiecentrums. De doelstelling van de Top-up is primair het verspreiden van het gedachtegoed van INTRALOG, maar ook het: o Vergroten van het netwerk van het consortium van INTRALOG; en o Demonstreren om versneld tot een real life product te komen.

Finished

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Look Backward, to move Forward: Historical Technology as a driving Force for a more sustainable Fashion Future

This proposal aims to explore a radically different path towards a more sustainable fashion future through technology. Most research on fashion and technology focuses on high tech innovation and, as a result, overlooks knowledge that is already available and has been used, tested and improved for centuries. The proposed research project, however, looks backward to move forward. It aims to investigate ‘the blindingly obvious’ and asks the question how historical technologies could be used to solve contemporary environmental issues in fashion. It thus argues that technology from the past could inspire both designers and technologists to come up with new and exciting solutions to make the future of fashion more sustainable. The current fast fashion system has changed the relationship consumers have with their clothing. Clothing has become a throwaway object and this has severe environmental implications. This research project aims to find a solution by exploring historical technologies - such as folding, mending and reassembling-, because in the past a ‘sustainable’ attitude towards fashion was the norm simply because cloth and garments were expensive. It wants to examine what happens when consumers, fashion designers and technologists are confronted with these techniques. What would, for example, materialize when an aeronautical engineer takes the technique of folding as a starting point and aims to create clothes that can grow with babies and toddlers? The answer is the signature suit of the brand Petit Pli: a special folding technique allows their signature suit to grow with children from 3 months to 3 years. Much like the age-old folding techniques applied in traditional Dutch dress, which allowed the size women’s jackets to be altered, by simply adjusting the pleats. Similarly, this project aims to investigate how high tech solutions, can be initiated through historical techniques.

Finished

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Re/Presenting Europe: Popular Representations of Diversity and Belonging

The question we have chosen – and been invited – to answer is “What is Europe: Past, Present, and Future.” This sits within the resilient societies theme of the NWA call. The reason for our choice of the ‘resilience’ theme is based on the many disciplines working on the project, which stretch beyond the historic (living history theme) into the societal.It has a deeper conceptual basis, however. It springs from an assumption that a shared sense of belonging and inclusion is one foundation for and aspect of resilience – just as a rope braided together from many strands is stronger than one where the strands are fraying apart. Positive and inclusive expressions of belonging and affiliation are present in education, sports, and music – highly visible sites of representation that have profound reach and impact in society. Racialisation, othering, and selective or stereotypical representations, however, work against resilience. They are circulated widely and generate exclusion and hurt. In these linked work packages, then, we take up the question’s invitation to expand and disrupt, what the NWA’s call itself defines as a normative prior understanding of Europe. In the words of the question, this definition emphasizes Europe’s nature as white, Christian-secular, bounded by the geographic limits of Western Europe, shaped by Greco-Roman heritage and tradition, democratic, and home of the enlightenment. Our consortium seeks to analyze this representation, research and present more expansive and accurate ones in consultative reflective and co-creative processes. Through the process, the new knowledge, and our highly participatory research and dissemination models we will change societal understandings of the bounds of Dutch, and European identities. This will forge a greater sense of belonging across all of the communities, including academia, involved in our project.This project is vital for building resilience through tackling sources of fragmentation and alienation in past and present. It is much needed as we look forward to an increasingly diverse and mixed demographic future.

Ongoing

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Reducing Waste During the Production of Wafer-based Microsystem products (Short WiM: Waste in Microsystems)

One of the major challenges for microsystem-based (MEMS -based) devices producing companies in general, and Bronkhorst High-Tech in particular, is to determine as early as possible in the production process which devices perform within specifications and if so by how much. Being able to separate the devices that do not comply as early as possible in the assembly flow would prevent spending time, money and materials on unsellable products. Being able to further separate good devices in multiple “performance bins” would bring even more cost and waste reduction by enabling Bronkhorst to pre-select finished products for different customer requirements. In this project we specifically focus on a micromachined flow sensor which is considered for a scale-up in production volumes in the near future. The ability to separate out badly performing devices translates to the challenge of finding a suitable test method, yielding the following research question: what are the success factors that would allow our MEMS partners to correlate product performance with measurements (tests) performed early in the production cycle? An answer makes it possible to implement the planned production scale-up of this MEMS device but also to reduce costs and waste typically associated with production failures. The device selected in this project is taken as an example for a broad range of chip-based MEMS devices with similar challenges. Therefore, we plan to use an applied research approach, looking at theoretical models of both device and production process, performing correlation measurements and delivering our recommendations on how to best tackle these production issues. It is our intention to thus generate expertise (knowledge & data) as well as a network on which we build a consortium around a future PPS (public-private partnership) where these challenges form a common theme.

Finished

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Remediation of comPromised IoT Devices

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.

Ongoing

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Towards resilient leisure, tourism and hospitality ecosystems in Europe

The overarching aim of the project is to contribute to the development of a sustainable, inclusive and just EU leisure, tourism and hospitality ecosystems, and will be achieved through three interrelated objectives:Create a body of knowledge and theoretical foundations, related to the application of land, capital and financial resources, to develop resilient and future-proof tourism destinations and tourism and travel businesses;Develop conceptual models that contribute towards collective models of resilience in tourism destinations and tourism and travel businesses and are based on equitable use of labour, land and natural resources and financial capital;Propose, through approved EU funding, interventions and applications towards new models of tourism destination management and corporate governance, that use sustainable parameters of success (regeneration of biodiversity and nature, improved human welfare of residents at destinations, social and environmental returns).The Project will lead to a series of research proposals that allows the consortium partners to address urgent societal challenges in Europe. During the project timeline, partners will disseminate findings and search for engagement by public and private actors. Ongoing collaboration and knowledge exchange with key industry actors will improve the resilience capacity of destinations through education, skill development, and co-creation of knowledge. Building resilience through tourism is not just an opportunity but a necessity in the face of global environmental and social challenges. The project will establish theoretical foundations for transitioning towards more resilient and environmentally and socially just ecosystems in the leisure, tourism, and hospitality sectors, aiming to shift the industry’s priorities from short-term gains to long-term sustainability. The project supports international collaboration by facilitating university staff mobility and involving students with diverse cultural, industry, and academic backgrounds and experiences. The successful application and completion of the project will strengthen the consortium's capacities and facilitate the ongoing international dialogue through the Resilient Tourism Ecosystems Lab (RTEL), consequently leading to future collaborative EU grant applications.

Ongoing

Products 281

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The development of entrepreneurial intention amongst university students

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Two Models of Engineering Education. A first step on the way to Bologna?

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Treatment results with severe psychiatric illness: which method is best suited to denote the outcome of mental health care?

DOCUMENT

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The efficacy of oral and subcutaneous antigen-specific immunotherapy in murine cow's milk- and peanut allergy models

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One-year evaluation of people recovering from COVID-19 receiving allied primary healthcare

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