This research investigates to what extent lecturers at universities of applied sciences do regard differentiated rewards(intended to develop and/or display professionalism)to be fair, and to what extent, and in which form, do these stimulate their willingness to (further) professionalise and/or display professionalism. This was a case study research design, and a factorial survey measurement technique was used to collect data. We argue that lecturers believe it is fair that forms of differentiated rewards are used and applied in order to have them develop and/or display more professionalism. Especially the viewpoints/practices that relate to coordination, consultation, and consideration for personal circumstances have an influence on the justice perceived. This paper contributes to the HRM literature confirming that lecturers appreciate financial stimuli enhancing their professionalism; however, elements such as consultation, respect, coordination, and communication are appreciated even more. It appeals to HRM to design new practices which have more stimulating effect on personal and professional growth in subject-specific knowledge.
This paper describes a study into consumers' reasons for buying socially responsible (SR) products, such as Fair Trade products and organic meat. As opposed to other studies, we use a qualitative approach based on 25 in-depth interviews and include several different products in the research. This leads to several new results, such as: (1) buying SR products is perceived as an imperfect moral duty; (2) low quality of SR products is a dissatisfier, but high quality not a satisfier; (3) the attitude towards SR products is related to the reputation of charitable funds; (4) the demand for SR products is negatively related to the frequency of purchasing SR products; (5) reflection on SR products raises the demand for SR products; (6) consumers that have witnessed the social problems that SR products aim to alleviate purchase more SR products. Finally, we find that the demand for different SR products is correlated: if a consumer buys one SR product, it is more likely that (s)he purchases other SR products as well.
Objectives: Goal setting and motivational interviewing (MI) may increase well-being by promoting healthy behavior. Since we failed to show improved well-being in a proactive assessment service for community-dwelling older adults applying these techniques, we studied whether implementation processes could explain this. Methods: Goals set during the comprehensive geriatric assessment were evaluated on their potential for behavior change. MI and goal setting adherence wasassessed by reviewing audiotaped interactions and interviewing care professionals. Results: Among the 280 goals set with 230 frail older adults (mean age 77 ± 6.9 years, 59% women), more than 90% had a low potential for behavior change. Quality thresholds for MI were reached in only one of the 11 interactions. Application was hindered by the context and the limited proficiency of care professionals. Discussion: Implementation was suboptimal for goal setting and MI. This decreased the potential for improved well-being in the participating older adults.
MULTIFILE
Huntington’s disease (HD) and various spinocerebellar ataxias (SCA) are autosomal dominantly inherited neurodegenerative disorders caused by a CAG repeat expansion in the disease-related gene1. The impact of HD and SCA on families and individuals is enormous and far reaching, as patients typically display first symptoms during midlife. HD is characterized by unwanted choreatic movements, behavioral and psychiatric disturbances and dementia. SCAs are mainly characterized by ataxia but also other symptoms including cognitive deficits, similarly affecting quality of life and leading to disability. These problems worsen as the disease progresses and affected individuals are no longer able to work, drive, or care for themselves. It places an enormous burden on their family and caregivers, and patients will require intensive nursing home care when disease progresses, and lifespan is reduced. Although the clinical and pathological phenotypes are distinct for each CAG repeat expansion disorder, it is thought that similar molecular mechanisms underlie the effect of expanded CAG repeats in different genes. The predicted Age of Onset (AO) for both HD, SCA1 and SCA3 (and 5 other CAG-repeat diseases) is based on the polyQ expansion, but the CAG/polyQ determines the AO only for 50% (see figure below). A large variety on AO is observed, especially for the most common range between 40 and 50 repeats11,12. Large differences in onset, especially in the range 40-50 CAGs not only imply that current individual predictions for AO are imprecise (affecting important life decisions that patients need to make and also hampering assessment of potential onset-delaying intervention) but also do offer optimism that (patient-related) factors exist that can delay the onset of disease.To address both items, we need to generate a better model, based on patient-derived cells that generates parameters that not only mirror the CAG-repeat length dependency of these diseases, but that also better predicts inter-patient variations in disease susceptibility and effectiveness of interventions. Hereto, we will use a staggered project design as explained in 5.1, in which we first will determine which cellular and molecular determinants (referred to as landscapes) in isogenic iPSC models are associated with increased CAG repeat lengths using deep-learning algorithms (DLA) (WP1). Hereto, we will use a well characterized control cell line in which we modify the CAG repeat length in the endogenous ataxin-1, Ataxin-3 and Huntingtin gene from wildtype Q repeats to intermediate to adult onset and juvenile polyQ repeats. We will next expand the model with cells from the 3 (SCA1, SCA3, and HD) existing and new cohorts of early-onset, adult-onset and late-onset/intermediate repeat patients for which, besides accurate AO information, also clinical parameters (MRI scans, liquor markers etc) will be (made) available. This will be used for validation and to fine-tune the molecular landscapes (again using DLA) towards the best prediction of individual patient related clinical markers and AO (WP3). The same models and (most relevant) landscapes will also be used for evaluations of novel mutant protein lowering strategies as will emerge from WP4.This overall development process of landscape prediction is an iterative process that involves (a) data processing (WP5) (b) unsupervised data exploration and dimensionality reduction to find patterns in data and create “labels” for similarity and (c) development of data supervised Deep Learning (DL) models for landscape prediction based on the labels from previous step. Each iteration starts with data that is generated and deployed according to FAIR principles, and the developed deep learning system will be instrumental to connect these WPs. Insights in algorithm sensitivity from the predictive models will form the basis for discussion with field experts on the distinction and phenotypic consequences. While full development of accurate diagnostics might go beyond the timespan of the 5 year project, ideally our final landscapes can be used for new genetic counselling: when somebody is positive for the gene, can we use his/her cells, feed it into the generated cell-based model and better predict the AO and severity? While this will answer questions from clinicians and patient communities, it will also generate new ones, which is why we will study the ethical implications of such improved diagnostics in advance (WP6).
Mycelium biocomposites (MBCs) are a fairly new group of materials. MBCs are non-toxic and carbon-neutral cutting-edge circular materials obtained from agricultural residues and fungal mycelium, the vegetative part of fungi. Growing within days without complex processes, they offer versatile and effective solutions for diverse applications thanks to their customizable textures and characteristics achieved through controlled environmental conditions. This project involves a collaboration between MNEXT and First Circular Insulation (FC-I) to tackle challenges in MBC manufacturing, particularly the extended time and energy-intensive nature of the fungal incubation and drying phases. FC-I proposes an innovative deactivation method involving electrical discharges to expedite these processes, currently awaiting patent approval. However, a critical gap in scientific validation prompts the partnership with MNEXT, leveraging their expertise in mycelium research and MBCs. The research project centers on evaluating the efficacy of the innovative mycelium growth deactivation strategy proposed by FC-I. This one-year endeavor permits a thorough investigation, implementation, and validation of potential solutions, specifically targeting issues related to fungal regrowth and the preservation of sustained material properties. The collaboration synergizes academic and industrial expertise, with the dual purpose of achieving immediate project objectives and establishing a foundation for future advancements in mycelium materials.
Doel van het vak Lichamelijke Opvoeding (LO) is dat leerlingen niet alleen beter leren bewegen, maar dat er ook aandacht is voor omgangs- en regelbekwaamheden (bijvoorbeeld fair play, het zelfstandig kunnen spelen van een spel, het organiseren van een activiteit, etc.). Ook het verwerven van (zelf)kennis en inzicht is een doel en daarmee het ontwikkelen van een eigen beweegidentiteit. De huidige praktijk van leerlingevaluatie sluit hier onvoldoende op aan en is soms zelfs demotiverend voor leerlingen. De focus van evalueren ligt daarbij vooral op de (eind)prestatie. Om leerlingen te motiveren en te ondersteunen, zou het leerproces van leerlingen richting de te bereiken doelen meer centraal moeten staan. Leraren LO vinden het echter een uitdaging om leerprocessen te monitoren en formatief te evalueren. Het ontbreekt binnen de LO aan een gebruiksvriendelijk en effectief instrument om dit te doen, passend bij de uiteenlopende doelen van het vak. Onderzoeksliteratuur en beperkte praktijkervaringen stellen een digitaal portfolio voor als mogelijk geschikt instrument. De Sportfolio App is een voorbeeld van zo’n digitaal portfolio, recent ontwikkeld voor LO. Deze app biedt nu nog onvoldoende aansluiting bij de gevarieerde doelen van het vak en is niet gericht op formatieve evaluatie. In het voorgestelde project, vormgegeven volgens de principes van Participatory Design Research, worden ontwerpprincipes en gebruiksrichtlijnen opgeleverd van een digitaal portfolio, waarmee effectief en gebruiksvriendelijk leervorderingen van leerlingen bij het vak LO inzichtelijk gemaakt kunnen worden. Deze principes en richtlijnen zullen toepasbaar zijn op verschillende vormen van (digitale) portfolio’s, waardoor scholen deze kunnen aanpassen aan de eigen mogelijkheden en wensen. Om dit te bereiken wordt er samengewerkt in een netwerk van hbo-onderzoekers, lerarenopleiders, leraren LO uit het voortgezet onderwijs, en ontwikkelaars van de Sportfolio App. De projectopbrengsten worden breed gedissemineerd binnen het werkveld van de LO.
