Het platform voor open praktijkgericht onderzoek

Producten 204

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Gebiedsvenster natuurinclusieve landbouw

Poster en begeleidende audio uit de guided tour van het Open Atelier van CoE Groen op 7 december 2023 over het project Gebiedsvenster Natuur Inclusieve Landbouw. Het gebiedsvenster is een visuele vertaling van een grondig proces van het verzamelen van praktijkervaring met Natuur Inclusieve Landbouw waarbij gebiedsgericht gewerkt wordt aan de transitie van het platteland in samenwerking met boerenbedrijven, waterschap, overheid, agrarisch collectief en natuurorganisaties. De poster is ook op papier beschikbaar.

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Gebiedsvenster natuurinclusieve landbouw

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AFECO - Report on good practices of age

The aim of this report is to give an overview of current state of the art in the occurrence and policies regarding affordable age-friendly and eco-friendly solutions in the partner countries. The report consists of the findings from the literature review, the comparative analysis and the reporting of good practices. It aims for the consortium as a whole to gain an understanding of the state of the art and on affordable age and eco-friendly solutions in partner countries and particularly the home and community fields, and to present that knowledge in the form of a written report. The literature review, the analysis of barriers and facilitators, and the survey on existing or even planning good practices in the project countries, will help the partners to build and update a strong knowledge base in these fields. To be closer to the practical issues that define the adaptability of eco and age-friendly solutions in community, the consortium decided to use mostly grey literature and websites for tools and advice, such as governmental pages. Common grey literature publication types include reports (annual, research, technical, project, etc.), working papers, government documents, white papers and evaluations, which will help all partners to reach conclusions around the common field between age and eco-friendly developments. Barriers and facilitators found in each project country will be used for stipulating the right consequence of actions needed, to propose a sound methodology that could – in combination with other actions and stakeholders – promote the implementation of age and eco-friendly principles into the public and private sphere of care for older people. Finally, the selection of good representative practices by each project country can be the basis for a report, and a publication, that depicts the level of maturity and progress of the notions of age-friendliness and eco-friendliness, as well as their impact on the care of older people.

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Projecten 29

project

A3+ - het ontwikkelen van een onlineversie A3+

Update 09 22: de generieke blackboardmodule is afgerond in juni 22 en wordt nu bij Bedrijfskunde (AD) en Technische Bedrijfskunde (Minor Slim Produceren) gebruikt en getest. Deze gebruikerservaringen worden meegenomen, mogelijke aanpassingen worden gedaan. Het project loopt volgens planning. Er blijkt geen factuur te zijn gestuurd in het vorig studiejaar (21 22), dit blijkt niet meer mogelijk. Voor dit project is subsidie uit het Strategisch Fonds toegekend door drie instituten: Instituut voor Bedrijfskunde, Academie voor Gezondheidsstudies en Engineering. Looptijd: september 2021 - juni 2023.Er wordt een generieke Blackboard module ontwikkeld voor het gebruik van de A3+ methode door studenten (gebruik) en docenten (begeleiding). Het is een onderzoeksmethode om procesproblemen te analyseren en op te lossen op een iteratieve en sequentiële wijze. De beoogde impact: Met behulp van de onlineversie van de A3+ methode wordt een nieuwe structuur gecreëerd voor de begeleiding van studenten bij de uitvoering van hun onderzoeksopdrachten. Kenmerk van deze nieuwe structuur is haar flexibele karakter met hoogfrequente online interactie en feedback

Afgerond

project

Bijdrage van ervaringskennis en deskundigheid aan herstelgerichte GGZ

Ervaringsdeskundigheid in de zorg is sterk in opmars: hulpverleners die hun eigen persoonlijke ervaringen professioneel inzetten bij het herstel van hun cliënten. Onder andere beroeps-en gedragscodes en negatieve beeldvorming staan de optimale inzet hiervan in de weg. Dit promotieonderzoek wil de professionele inzet van ervaringsdeskundigheid in de geestelijke gezondheidszorg (GGZ) onderzoeken en verstevigen.

Afgerond

Bijdrage van ervaringskennis en deskundigheid aan herstelgerichte GGZ

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CHIWAWA: Creatieve onderzoeksmethodes

Wat dragen creatieve onderzoeksmethodes bij aan vernieuwing binnen de zorg? We onderzoeken dit binnen tien projecten van het Create Health-programma van ZonMw. In deze projecten wordt kennis ontwikkeld over de toegevoegde waarde van creatieve manieren van werken bij e-health innovatie.

Afgerond

project

CureQ Predict, Delay & Cure polyglutamine(Q) caused neurodegeneration

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).

Lopend

project

FORensic WAtermarking with Robust Dynamic Tracing

The project aim is to improve collusion resistance of real-world content delivery systems. The research will address the following topics: • Dynamic tracing. Improve the Laarhoven et al. dynamic tracing constructions [1,2] [A11,A19]. Modify the tally based decoder [A1,A3] to make use of dynamic side information. • Defense against multi-channel attacks. Colluders can easily spread the usage of their content access keys over multiple channels, thus making tracing more difficult. These attack scenarios have hardly been studied. Our aim is to reach the same level of understanding as in the single-channel case, i.e. to know the location of the saddlepoint and to derive good accusation scores. Preferably we want to tackle multi-channel dynamic tracing. • Watermarking layer. The watermarking layer (how to embed secret information into content) and the coding layer (what symbols to embed) are mostly treated independently. By using soft decoding techniques and exploiting the “nuts and bolts” of the embedding technique as an extra engineering degree of freedom, one should be able to improve collusion resistance. • Machine Learning. Finding a score function against unknown attacks is difficult. For non-binary decisions there exists no optimal procedure like Neyman-Pearson scoring. We want to investigate if machine learning can yield a reliable way to classify users as attacker or innocent. • Attacker cost/benefit analysis. For the various use cases (static versus dynamic, single-channel versus multi-channel) we will devise economic models and use these to determine the range of operational parameters where the attackers have a financial benefit. For the first three topics we have a fairly accurate idea how they can be achieved, based on work done in the CREST project, which was headed by the main applicant. Neural Networks (NNs) have enjoyed great success in recognizing patterns, particularly Convolutional NNs in image recognition. Recurrent NNs ("LSTM networks") are successfully applied in translation tasks. We plan to combine these two approaches, inspired by traditional score functions, to study whether they can lead to improved tracing. An often-overlooked reality is that large-scale piracy runs as a for-profit business. Thus countermeasures need not be perfect, as long as they increase the attack cost enough to make piracy unattractive. In the field of collusion resistance, this cost analysis has never been performed yet; even a simple model will be valuable to understand which countermeasures are effective.

Lopend

Partijen 1

partij

HZ University of Applied Sciences

Hogeschool

Redactie-artikelen 1

redactie

Opvoeden in verbondenheid met samenlevingspedagogiek

Producten 204

product

Gebiedsvenster natuurinclusieve landbouw

MULTIFILE

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Gebiedsvenster natuurinclusieve landbouw

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AFECO - Report on good practices of age

PDF

Projecten 29

project

A3+ - het ontwikkelen van een onlineversie A3+

Afgerond

project

Bijdrage van ervaringskennis en deskundigheid aan herstelgerichte GGZ

Afgerond

project

CHIWAWA: Creatieve onderzoeksmethodes

Afgerond

project

CureQ Predict, Delay & Cure polyglutamine(Q) caused neurodegeneration

Lopend

project

FORensic WAtermarking with Robust Dynamic Tracing

Lopend

Partijen 1

partij

HZ University of Applied Sciences

Hogeschool

Redactie-artikelen 1

redactie

Zoekresultaten

Producten 204

Gebiedsvenster natuurinclusieve landbouw

Gebiedsvenster natuurinclusieve landbouw

AFECO - Report on good practices of age

Samenwerken met informeel netwerk

NutriLive

Om toch

Spel Zicht op Studentontwikkeling

Using A3 Architecture Overviews as an educational tool [presentation]

Using A3 Architecture Overviews as an educational tool

Projecten 29

A3+ - het ontwikkelen van een onlineversie A3+

Bijdrage van ervaringskennis en deskundigheid aan herstelgerichte GGZ

CHIWAWA: Creatieve onderzoeksmethodes

CureQ Predict, Delay & Cure polyglutamine(Q) caused neurodegeneration

DLO Digitale Inclusie

FORensic WAtermarking with Robust Dynamic Tracing

Gedragslenzen toolbox: ontwerpen voor gedragsverandering

Goed Gereageerd

Grensoverstijgende leeromgevingen in het beroepsonderwijs

Partijen 1

HZ University of Applied Sciences

Redactie-artikelen 1

Opvoeden in verbondenheid met samenlevingspedagogiek

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Producten 204

Gebiedsvenster natuurinclusieve landbouw

Gebiedsvenster natuurinclusieve landbouw

AFECO - Report on good practices of age

Samenwerken met informeel netwerk

NutriLive

Om toch

Spel Zicht op Studentontwikkeling

Using A3 Architecture Overviews as an educational tool [presentation]

Using A3 Architecture Overviews as an educational tool

Projecten 29

A3+ - het ontwikkelen van een onlineversie A3+

Bijdrage van ervaringskennis en deskundigheid aan herstelgerichte GGZ

CHIWAWA: Creatieve onderzoeksmethodes

CureQ Predict, Delay & Cure polyglutamine(Q) caused neurodegeneration

DLO Digitale Inclusie

FORensic WAtermarking with Robust Dynamic Tracing

Gedragslenzen toolbox: ontwerpen voor gedragsverandering

Goed Gereageerd

Grensoverstijgende leeromgevingen in het beroepsonderwijs

Partijen 1

HZ University of Applied Sciences

Redactie-artikelen 1

Opvoeden in verbondenheid met samenlevingspedagogiek