Showing papers by "Saxion University of Applied Sciences published in 2021"

From coarse wall measurements to turbulent velocity fields through deep learning

Abstract: This work evaluates the applicability of super-resolution generative adversarial networks (SRGANs) as a methodology for the reconstruction of turbulent-flow quantities from coarse wall measurements. The method is applied both for the resolution enhancement of wall fields and the estimation of wall-parallel velocity fields from coarse wall measurements of shear stress and pressure. The analysis has been carried out with a database of a turbulent open-channel flow with a friction Reynolds number R e τ = 180 generated through direct numerical simulation. Coarse wall measurements have been generated with three different downsampling factors f d = [ 4 , 8 , 16 ] from the high-resolution fields, and wall-parallel velocity fields have been reconstructed at four inner-scaled wall-normal distances y + = [ 15 , 30 , 50 , 100 ]. We first show that SRGAN can be used to enhance the resolution of coarse wall measurements. If compared with the direct reconstruction from the sole coarse wall measurements, SRGAN provides better instantaneous reconstructions, in terms of both mean-squared error and spectral-fractional error. Even though lower resolutions in the input wall data make it more challenging to achieve highly accurate predictions, the proposed SRGAN-based network yields very good reconstruction results. Furthermore, it is shown that even for the most challenging cases, the SRGAN is capable of capturing the large-scale structures that populate the flow. The proposed novel methodology has a great potential for closed-loop control applications relying on non-intrusive sensing.

From coarse wall measurements to turbulent velocity fields through deep learning

Abstract: This work evaluates the applicability of super-resolution generative adversarial networks (SRGANs) as a methodology for the reconstruction of turbulent-flow quantities from coarse wall measurements. The method is applied both for the resolution enhancement of wall fields and the estimation of wall-parallel velocity fields from coarse wall measurements of shear stress and pressure. The analysis has been carried out with a database of a turbulent open-channel flow with friction Reynolds number $Re_{\tau}=180$ generated through direct numerical simulation. Coarse wall measurements have been generated with three different downsampling factors $f_d=[4,8,16]$ from the high-resolution fields, and wall-parallel velocity fields have been reconstructed at four inner-scaled wall-normal distances $y^+=[15,30,50,100]$. We first show that SRGAN can be used to enhance the resolution of coarse wall measurements. If compared with direct reconstruction from the sole coarse wall measurements, SRGAN provides better instantaneous reconstructions, both in terms of mean-squared error and spectral-fractional error. Even though lower resolutions in the input wall data make it more challenging to achieve highly accurate predictions, the proposed SRGAN-based network yields very good reconstruction results. Furthermore, it is shown that even for the most challenging cases the SRGAN is capable of capturing the large-scale structures that populate the flow. The proposed novel methodology has great potential for closed-loop control applications relying on non-intrusive sensing.

Interpretable deep-learning models to help achieve the Sustainable Development Goals

Abstract: We discuss our insights into interpretable artificial-intelligence (AI) models, and how they are essential in the context of developing ethical AI systems, as well as data-driven solutions compliant with the Sustainable Development Goals (SDGs). We highlight the potential of extracting truly-interpretable models from deep-learning methods, for instance via symbolic models obtained through inductive biases, to ensure a sustainable development of AI.

Professional learning networks: From teacher learning to school improvement?

Abstract: Professional learning communities are promising for teacher learning and improving the quality of education. In the past decade, there has been a shift in focus from within-school to cross-school PLCs: Professional Learning Networks. Knowledge of the underlying working processes of teacher learning in PLNs is scarce. This is even more complicated for PLNs, because of organizational, geographic and professional boundaries. The purpose of this study is to explore how PLNs can function to meet their objectives and what challenges they face in their aim of achieving sustainable teacher learning and school improvement. We applied a qualitative case study design. Data were collected by means of interviews with PLN participants and external coaches, logs by external coaches, and yearly observations by the researchers. Results show how the PLN context influences the outcomes in terms of teacher learning, PLN products and application in their schools. Findings show how leadership, the perception of a shared goal, structured activities, collaboration, and facilitation and support especially appear to influence outcomes. PLNs face additional challenges in relation to within-school PLCs, in terms of knowledge transfer from the PLN back to participants’ own schools and the network as a whole. This should be acknowledged and acted upon before PLNs are even established.

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens.

Abstract: BACKGROUND eHealth applications have been recognized as a valuable tool to reduce COVID-19's effective reproduction number. The factors that determine acceptance of COVID-19 apps are unknown. The exception here is privacy. OBJECTIVE The aim of this article was to identify antecedents of acceptance of 1) a mobile application for COVID-19 symptom recognition and monitoring, and 2) a mobile application for contact tracing, both by means of an online survey among Dutch citizens. METHODS Next to the demographics, the online survey contained questions focusing on perceived health, fear of COVID-19 and intention to use. We used snowball sampling via posts on social media and personal connections. To identify antecedents of the model for acceptance of the two mobile applications we conducted multiple linear regression analyses. RESULTS In total, 238 Dutch adults completed the survey. Almost 60% of the responders were female and the average age was 45.6 years (SD±17.4). For the symptom app, the final model included the predictors age, attitude towards technology and fear of COVID-19. The model had an r2 of 0.141. The final model for the tracing app included the same predictors and had an r2 of 0.156. The main reason to use both mobile applications was to control the spread of the COVID-19 virus. Concerns about privacy was mentioned as the main reason not to use the mobile applications. CONCLUSIONS Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance. CLINICALTRIAL

Can Use of Digital Technologies by People with Dementia Improve Self-Management and Social Participation? A Systematic Review of Effect Studies.

Abstract: There is increasing interest in the use of technology to support social health in dementia The primary objective of this systematic review was to synthesize evidence of effectiveness of digital technologies used by people with dementia to improve self-management and social participation Records published from 1 January 2007 to 9 April 2020 were identified from Pubmed, PsycInfo, Web of Science, CINAHL, and the Cochrane Central Register of Controlled Trials Controlled interventional studies evaluating interventions based on any digital technology were included if: primary users of the technology had dementia or mild cognitive impairment (MCI); and the study reported outcomes relevant to self-management or social participation Studies were clustered by population, intervention, and outcomes, and narrative synthesis was undertaken Of 1394 records identified, nine met the inclusion criteria: two were deemed to be of poor methodological quality, six of fair quality, and one of good quality Three clusters of technologies were identified: virtual reality, wearables, and software applications We identified weak evidence that digital technologies may provide less benefit to people with dementia than people with MCI Future research should address the methodological limitations and narrow scope of existing work In the absence of strong evidence, clinicians and caregivers must use their judgement to appraise available technologies on a case-by-case basis

Serum biomarkers confirming stable remission in inflammatory bowel disease.

Abstract: Crohn's disease (CD) and ulcerative colitis (UC) have a chronic-remittent course. Optimal management of inflammatory bowel diseases (IBD) relies on early intervention, treat-to-target strategies and a tight disease control. However, it is challenging to assess the risk of relapses in individual patients. We investigated blood-based biomarkers for the confirmation of disease remission in patients with IBD. We retrospectively analyzed samples of 40 IBD patients (30 UC, 10 CD) enrolled in a tight-control follow-up study. Half of the patients had a flare during follow up. Serum was analyzed for S100A12 as well as S100A8/A9 and for 50 further biomarkers in a bead-based multiplex assay. The concentrations of 9 cytokines/chemokines and S100A8/A9 significantly differed in IBD patients with unstable remission (before flares) when compared to IBD patients with stable remission. Although the number of patients was small, ROC curve analyses revealed a number of biomarkers (IL-1β, IL-1RA, IL-8, IL13, IL-15, IL-21, IL-25, IFN-β, CXCL9, CXCL10, CXCL11, Galectin-1, G-CSF and S100A8/A9) that were elevated in patients with later occurring relapses. While earlier studies on peripheral biomarkers in IBD are limited to only few analytes, our study using a broad screening approach identified serum biomarkers with the potential to indicate unstable disease control in IBD, which may help to steer individual therapies to maintain remission.

Build position-based dimensional deviations of laser powder-bed fusion of stainless steel 316L

Abstract: © 2020 The Authors This study investigates the effect of position on build-plate on the dimensional deviations for stainless steel 316 L samples made by laser powder-bed fusion. To understand the effect of sample position on the build-plate (substrate) with respect to shrinkage and dimensional deviation, 36 samples in a 6 × 6 array were printed with three repetitions. The value of the diameter was measured at 10 points along the vertical axis in the perpendicular and parallel directions to the flow of the assisted gas. The results of the experiment show that there is shrinkage in both directions with respect to the gas flow. However, the extent of deviation in the perpendicular direction to the gas flow is greater compared to the parallel diameters for the samples. This can be related to the pressure of assisted gas and the difference in cooling rate corresponding to the position of the samples on the building substrate. The hypothesis is proved by conducting further experiments regulating the amount of gas flow by adjusting the individual nozzle for the gas flow to the build chamber. The reason for these deviations is speculated to be related to the rheology of the melt pool. This research could lay a solid foundation for the future development of a compensation strategy to nullify the effect of shrinkage and dimensional deviations on parts made using the laser powder-bed fusion technique. The results of shrinkage of the columns appear to suggest that there is an effect on the circularity from the assisting gas.

Poor understanding of allergen labelling by allergic and non-allergic consumers

Abstract: BACKGROUND Understanding consumers' interpretation of allergy information is crucial for effective food safety policies. We evaluated consumer understanding of allergy information on foods in controlled, experimental studies. METHOD Using 18 packaged foods, we evaluated consumer understanding of information about allergens in two experiments: First, a comparison of foods with no stated allergen versus allergen as a stated ingredient versus a precautionary allergen label (PAL); second, a comparison of three common variants of PAL. In each experiment, consumers with and without self-reported food allergy were asked to estimate the risk of allergic reaction and to rate the comprehensibility of the allergen information. In the second experiment, consumers were also asked which form of PAL they preferred. RESULTS Risk of reaction was assessed as high and low for foods with the allergen stated as ingredient, or without any mention of allergen. However, risk assessment for PAL varied and was judged as higher by non-allergic than allergic participants (82% vs. 58%, p < .001). Understanding of risk associated with PAL also varied by health literacy (p < .001). Both allergic and non-allergic consumers judged all forms of allergy information to be unclear, especially products with no allergy information for non-allergic consumers. Products with a 'Produced in a Factory' PAL were perceived as less risky than 'May contain' or 'Traces of' PALs (p < .001), less than 40% of participants judged PAL information to be comprehensible, and participants preferred 'May contain' over the other PALs. CONCLUSION Both allergic and non-allergic consumers find allergen information difficult to interpret on packaged foods and misunderstand PAL, incorrectly distinguishing different risk levels for different PAL wording. Clearer allergy information guidelines are called for, and the use of only one PAL wording is recommended.

Acceptance of technologies for aging in place:a conceptual model

Abstract: Background: Older adults want to preserve their health and autonomy and stay in their own home environment for as long as possible. This is also of interest to policy makers who try to cope with growing staff shortages and increasing health care expenses. Ambient assisted living (AAL) technologies can support the desire for independence and aging in place. However, the implementation of these technologies is much slower than expected. This has been attributed to the lack of focus on user acceptance and user needs. Objective: The aim of this study is to develop a theoretically grounded understanding of the acceptance of AAL technologies among older adults and to compare the relative importance of different acceptance factors. Methods: A conceptual model of AAL acceptance was developed using the theory of planned behavior as a theoretical starting point. A web-based survey of 1296 older adults was conducted in the Netherlands to validate the theoretical model. Structural equation modeling was used to analyze the hypothesized relationships. Results: Our conceptual model showed a good fit with the observed data (root mean square error of approximation 0.04; standardized root mean square residual 0.06; comparative fit index 0.93; Tucker-Lewis index 0.92) and explained 69% of the variance in intention to use. All but 2 of the hypothesized paths were significant at the P<.001 level. Overall, older adults were relatively open to the idea of using AAL technologies in the future (mean 3.34, SD 0.73). Conclusions: This study contributes to a more user-centered and theoretically grounded discourse in AAL research. Understanding the underlying behavioral, normative, and control beliefs that contribute to the decision to use or reject AAL technologies helps developers to make informed design decisions based on users’ needs and concerns. These insights on acceptance factors can be valuable for the broader field of eHealth development and implementation.

Smart city technologies and figures of technical mediation

Abstract: With ICTs increasingly influencing the built environment, it becomes ever more important to analyse the impact of smart city technologies on citizens’ behaviour. To explore this impact, the...

Learning within sustainable educational innovation: An analysis of teachers’ perceptions and leadership practice

Abstract: Innovative initiatives in education often have problems with their sustainability. The present study focuses on three educational innovations that have proved to be sustainable over time. We used a qualitative research approach to study and identify essential features of sustainable educational innovation. Two theoretical frameworks were used to guide the study: the integrated model for sustainable innovation (IMSI) and self-determination theory (SDT). Both frameworks take a different perspective upon learning; IMSI presents learning at the individual level, the team level and the organizational level to be the heart of sustainable innovation, and SDT presents how learning can be improved. The research question focused upon how the SDT concepts of autonomy, competence and relatedness were perceived within sustainable innovation, expressed by the IMSI framework, by teachers and school leaders. Based on our findings we demonstrate that the framework of IMSI and SDT can effectively be applied as a frame of analysis to identify essential features of sustainability in educational innovations and we discuss how concepts of SDT deepen the knowledge of sustainable educational innovation.

The Chronological Development of Coaching and Mentoring: Side by Side Disciplines

Abstract: Interest in coaching and mentoring has increased over the past decades However, confusion about what is meant in practice and in the literature and the lack of sound definitions makes it hard to research the antecedents and outcomes of both concepts We show that coaching and mentoring share a lot, but they are often treated as separate fields By developing models that combine the concepts of coaching and mentoring, we aim to provide a base for more rigorous research Such a base hopefully encourages researches and practitioners of coaching and mentoring to work together instead of struggling against each other

Effects of formative assessment programmes on teachers’ knowledge about supporting students’ reflection

Abstract: Objective: In the past decade, several authors have advocated that formative assessment programmes have an impact on teachers’ knowledge. Consequently, various requirements have been proposed in th...

Towards Evaluating the Research Impact made by Universities of Applied Sciences

Abstract: Given the mandate of Universities of Applied Sciences (UASs) to create an impact on society, the evaluation of their research impact is of great importance. And yet, the methodology for evaluating this impact appear less explicitly in research literature then other forms of research. The purpose of this article is to present a literature-based analysis to discover from the complex world of existing theories and frameworks what criteria, assumptions and requirements are relevant for evaluating the impact of applied research. This article will also discuss the relevancy of frameworks currently used for research impact evaluation and the potential they have for operationalising, enriching and supporting the current national evaluation framework used by Dutch UASs. Finally, this article will conclude that the recommendations necessitate the creation of a new framework where the context and process of practice-based research and their stakeholders are included.

Long-term effectiveness of web-based cognitive behavioral therapy for patients with eating disorders.

Abstract: To evaluate the long-term effectiveness of a web-based therapist-delivered cognitive behavioral therapy (CBT) for patients with eating disorders (ED). We used follow-up data from a randomized controlled trial that evaluated a web-based CBT on ED psychopathology and related health, compared to a waiting list control (WL) condition. As participants of the WL condition started the intervention after their waiting period, follow-up data included participants from both groups. The primary outcome was change from baseline, at 3, 6, and 12-month intervals in ED psychopathology, analyzed using mixed models for repeated measures. Secondary outcomes included body dissatisfaction, BMI, physical health, mental health, self-esteem, quality of life, and social functioning. The population comprised 212 participants in total, in three subgroups: bulimia nervosa (BN; n = 44), binge eating disorder (BED; n = 83), and ED not otherwise specified (EDNOS; n = 85). Treatment effects were sustained during follow-up, with generally large effect sizes for the reduction of ED psychopathology and body dissatisfaction, and small to moderate effect sizes for physical and mental health, self-esteem, social functioning, and quality of life. Most effects were found for all three subgroups, except for long-term improvements in self-esteem and quality of life among participants with BN and EDNOS. This study showed long-term sustainability of treatment effects up to 1-year post-treatment of a web-based therapist-delivered CBT for patients with various ED. Level IV, evidence obtained from multiple time series analysis, with intervention. NTR2415—Dutch Trial Registry ( http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2415 ).

A Review of Numerical Simulation as a Precedence Method for Prediction and Evaluation of Building Ventilation Performance

Abstract: Natural ventilation has been used widely in buildings to deliver a healthy and comfortable indoor environment for occupants. It also reduces the consumption of energy in the built environment and dilutes the concentration of carbon dioxide. Various methods and techniques have been used to evaluate and predict indoor airspeed and patterns in buildings. However, few studies have been implemented to investigate the relevant methods and tools for the evaluation of ventilation performance in indoor and outdoor spaces. The current study aims to review available methods, identifying reliable ones to apply in future research. This study investigates scientific databases and compares the advantages and drawbacks of methods including analytical models, empirical models, zonal models, and CFD models. The findings indicated the computational fluid dynamics (CFD) model is the most relevant method because of cost-effectiveness, informative technique, and proficiency to predict air velocity patterns and ratios in buildings. Finally, widely used CFD codes and tools are compared considering previous studies. It is concluded the application of codes for research is subject to the complexity and characteristics of a studied model, the area and field of study, the desired turbulence model, and the user interface.

Twelve tips to teach culturally sensitive palliative care.

Abstract: With an increasingly ageing population there will be a rising demand for palliative care, including from older migrants and ethnic minorities. While many (future) physicians are unfamiliar with specific needs of older migrants and ethnic minorities regarding care and communication in palliative care, this may be challenging for them to deal with. Moreover, even many medical teachers also feel unprepared to teach palliative care and culturally sensitive communication to students. In order to support medical teachers, we suggest twelve tips to teach culturally sensitive palliative care to guide the development and implementation of teaching this topic to medical students. Drawn from literature and our own experiences as teachers, these twelve tips provide practical guidance to both teachers and curriculum designers when designing and implementing education about culturally sensitive palliative care.

Predicting food allergy: The value of patient history reinforced.

Abstract: BACKGROUND: EAACI guidelines emphasize the importance of patient history in diagnosing food allergy (FA) and the need for studies investigating its value using standardized allergy-focused questionnaires. OBJECTIVE: To determine the contribution of reaction characteristics, allergic comorbidities and demographics to prediction of FA in individuals experiencing food-related adverse reactions. METHODS: Adult and school-age participants in the standardized EuroPrevall population surveys, with self-reported FA, were included. Penalized multivariable regression was used to assess the association of patient history determinants with "probable" FA, defined as a food-specific case history supported by relevant IgE sensitization. RESULTS: In adults (N = 844), reproducibility of reaction (OR 1.35 [95% CI 1.29-1.41]), oral allergy symptoms (OAS) (4.46 [4.19-4.75]), allergic rhinitis (AR) comorbidity (2.82 [2.68-2.95]), asthma comorbidity (1.38 [1.30-1.46]) and male sex (1.50 [1.41-1.59]) were positively associated with probable FA. Gastrointestinal symptoms (0.88 [0.85-0.91]) made probable FA less likely. The AUC of a model combining all selected predictors was 0.85 after cross-validation. In children (N = 670), OAS (2.26 [2.09-2.44]) and AR comorbidity (1.47 [CI 1.39-1.55]) contributed most to prediction of probable FA, with a combined cross-validation-based AUC of 0.73. When focusing on plant foods, the dominant source of FA in adults, the pediatric model also included gastrointestinal symptoms (inverse association), and the AUC increased to 0.81. CONCLUSIONS: In both adults and school-age children from the general population, reporting of OAS and of AR comorbidity appear to be the strongest predictors of probable FA. Patient history particularly allows for good discrimination between presence and absence of probable plant FA.

The Effects of Politician’s Moral Violations on Voters' Moral Emotions

Abstract: Existing empirical research on voters’ responses to individual politicians’ moral transgressions pays limited attention to moral emotions, although moral emotions are an integral part of voters’ moral judgment. This study looks at U.S. voters’ discrete moral emotional responses to politician’s moral violations and examines how these discrete moral emotional responses are dependent on voters’ own moral principles and the extent to which they identify with a political party. We report on a 5 × 3 between-subjects experiment where 2026 U.S. respondents reacted to politicians’ violations of one of five moral foundations defined by Moral Foundations Theory. We randomly vary which moral foundation is violated and the partisanship of the politician. While voters’ own moral principles somewhat condition moral emotional responses, we find that voters’ moral emotional responses mostly depend on partisan identification. When voters share party identity with a politician committing a moral violation, they respond with less anger, contempt, disgust and shame than when they do not share party identity. The effect is greater among strong partisans. However, we find limited evidence that specific moral emotions are activated by violations of particular moral foundations, thereby challenging Moral Foundations Theory.

Professional youth work as a preventive service: towards an integrated conceptual framework

Abstract: Knowledge of how professional youth work might prevent individual and social problems in socially vulnerable youngsters is poorly developed. This article presents a conceptual framework that clarif...

Are people with mild dementia able to (re)learn how to use technology? A literature review

Abstract: Objective There is growing evidence that people with mild dementia can benefit from using tablets and apps. Due to their cognitive decline, people with dementia need support in learning how to use these devices. The objective of this review was to identify which training interventions work best to help people with mild dementia (re)learn how to use technologies, including handheld touchscreen devices. Because the uptake of these devices in people with dementia is quite new, training interventions for the use of other technologies were also included, such as technologies assisting people in Instrumental Activities of Daily Living (IADL). Design An electronic search was conducted in the following databases: PubMed, APA PsycInfo (EBSCO), and CINAHL (EBSCO). Themes discussed include the learning effects; training method (e.g. errorful (EF) and errorless (EL) learning); training intensity and setting; technology task type; dementia type and severity; and study design and outcome measures. Results In total, 16 studies were included. All studies reported positive learning effects and improved task performance in people with dementia, regardless of dementia severity, training intensity, setting, and the method used. Although the EL training method was successful more often than the EF training method, it would be inappropriate to conclude that the EL method is more effective, because the majority of studies only investigated EL training interventions with (multiple) single-case study designs. Conclusion Future research should consider using more robust study designs, such as RCTs, to evaluate the effectiveness of training interventions for (re)learning technology-orientated tasks, including operating handheld touchscreen devices.

Evaluation of FindMyApps: protocol for a randomized controlled trial of the effectiveness and cost-effectiveness of a tablet-based intervention to improve self-management and social participation of community-dwelling people with mild dementia, compared to usual tablet use.

Abstract: For the rising number of people living with dementia, cost-effective community-based interventions to support psychosocial care are needed. The FindMyApps intervention has been developed with and for people with dementia and their caregivers, to help them use tablets to facilitate self-management and engagement in meaningful social activities. A feasibility study and exploratory pilot trial evaluating FindMyApps have been carried out. This definitive trial further evaluates the effectiveness of the intervention and, for the first time, the cost-effectiveness. A randomized controlled non-blinded single-center two-arm superiority trial will be conducted. Community-dwelling people with Mild Cognitive Impairment (MCI), or dementia with a Mini Mental-State Examination (MMSE) of > 17 and < 26, or Global Deterioration Scale 3 or 4, with an informal caregiver and access to a wireless internet connection will be included. In total, 150 patient-caregiver dyads will be randomly allocated to receive either usual care (control arm – tablet computer; n = 75 dyads) or usual care and the FindMyApps intervention (experimental arm – tablet computer and FindMyApps; n = 75 dyads). The primary outcomes are: for people with dementia, self-management and social participation; for caregivers, sense of competence. In addition to a main effect analysis, a cost-effectiveness analysis will be performed. In line with MRC guidance for evaluation of complex interventions a process evaluation will also be undertaken. Results of the trial are expected to be available in 2023 and will be submitted for publication in international peer-reviewed scientific journals, in addition to conference presentations and reporting via the EU Marie Sklodowska-Curie DISTINCT ITN network. By providing evidence for or against the effectiveness and cost-effectiveness of the FindMyApps intervention, the results of the trial will influence national implementation of FindMyApps. We hope that the results of the trial will further stimulate research and development at the intersection of technology and psycho-social care in dementia. We hope to further demonstrate that the randomized controlled trial is a valuable and feasible means of evaluating new digital technologies, to stimulate further high-quality research in this growing field. Netherlands Trial Register: NL8157 ; registered 15th November 2019.