Slim laden biedt – naar verwachting – de mogelijkheid om grote aantallen elektrische auto’s te laden op zoveel mogelijk duurzame energie uit zon en wind. Daarnaast biedt het de mogelijkheid om de energievraag te accommoderen binnen de kaders van het elektriciteitssysteem. In deze studie doen CE Delft en APPM in opdracht van Enpuls, en in samenwerking met Hogeschool van Amsterdam en ElaadNL, onderzoek naar de maatschappelijke kosten en baten van slim laden.
LINK
Rationale: The Patient-Generated Subjective Global Assessment (PG-SGA) is a validated instrument to assess malnutrition and its risk factors in clinical populations. Its patient component, PG-SGA Short Form (SF), can be used as screening instrument. In this cross-sectional study we aimed to assess agreement between the PG-SGA SF, Malnutrition Universal Screening Tool (MUST), and Short Nutritional Assessment Questionnaire (SNAQ) in patients at the University Medical Center Groningen, The Netherlands.Methods: Malnutrition risk was assessed by PG-SGA SF, MUST, and SNAQ in 81 patients from the Departments Ear Nose Throat (ENT), Oral and Maxillofacial Surgery (OMS) and Orthopedics. Point scores of PG-SGA SF=4-8, MUST=1, and SNAQ=2 were classified as ‘medium malnutrition risk’, and PG-SGA SF≥9, MUST ≥2, and SNAQ ≥3 as ‘high malnutrition risk’. Agreement in classification for malnutrition risk was assessed by weighted kappa (κ) and intra-class correlation coefficient (ICC). A p-value of <0.05 was considered statistically significant.Results: According to the PG-SGA SF, MUST and SNAQ, respectively 65%, 81%, and 80% of all patients were classified as ‘low malnutrition risk’; 24%, 8% and 6% as ‘medium malnutrition risk’; 11%, 10% and 14% as ‘high malnutrition risk’.Agreement between PG-SGA SF and MUST (κ=0.452, ICC=0.448; p<0.001), and between PG-SGA SF and SNAQ (κ=0.395, ICC=0.395; p<0.001) were both fair. In patients from the Departments ENT and OMS, PG-SGA SF classified more patients at medium/high malnutrition risk (n=26) as compared to the MUST (n=12) or SNAQ (n=14).Conclusion: We found only fair agreement between the PG-SGA SF and MUST and SNAQ, respectively. The PG-SGA SF classified three and four times more patients at medium malnutrition risk, compared to MUST and SNAQ respectively, due to its scoring on symptoms and activities/functioning. Hence, the PG-SGA SF may help facilitate proactive prevention of malnutrition.
DOCUMENT
Progetto Ustica is an experiment in "civically-engaged game design" and addresses the Ustica Massacre ("Strage di Ustica"), where 81 people lost their lives as an air-to-air missile hit a civilian aircraft in 1980. Progetto Ustica has been developed as part of an Action Research effort with the objective of preserving and transmitting the historical memory of the event. With this post-mortem essay, we reflect on the game design challenges that Progetto Ustica faced, we introduce different conceptualizations of "memory" emerging from our design practice, and we synthesize some lessons learned (implications for design) towards other "civically-engaged games" for socio-cultural heritage.
DOCUMENT
Patiëntdata uit vragenlijsten, fysieke testen en ‘wearables’ hebben veel potentie om fysiotherapie-behandelingen te personaliseren (zogeheten ‘datagedragen’ zorg) en gedeelde besluitvorming tussen fysiotherapeut en patiënt te faciliteren. Hiermee kan fysiotherapie mogelijk doelmatiger en effectiever worden. Veel fysiotherapeuten en hun patiënten zien echter nauwelijks meerwaarde in het verzamelen van patiëntdata, maar vooral toegenomen administratieve last. In de bestaande landelijke databases krijgen fysiotherapeuten en hun patiënten de door hen zelf verzamelde patiëntdata via een online dashboard weliswaar teruggekoppeld, maar op een weinig betekenisvolle manier doordat het dashboard primair gericht is op wensen van externe partijen (zoals zorgverzekeraars). Door gebruik te maken van technologische innovaties zoals gepersonaliseerde datavisualisaties op basis van geavanceerde data science analyses kunnen patiëntdata betekenisvoller teruggekoppeld en ingezet worden. Wij zetten technologie dus in om ‘datagedragen’, gepersonaliseerde zorg, in dit geval binnen de fysiotherapie, een stap dichterbij te brengen. De kennis opgedaan in de project is tevens relevant voor andere zorgberoepen. In dit KIEM-project worden eerst wensen van eindgebruikers, bestaande succesvolle datavisualisaties en de hiervoor vereiste data science analyses geïnventariseerd (werkpakket 1: inventarisatie). Op basis hiervan worden meerdere prototypes van inzichtelijke datavisualisaties ontwikkeld (bijvoorbeeld visualisatie van patiëntscores in vergelijking met (beoogde) normscores, of van voorspelling van verwacht herstel op basis van data van vergelijkbare eerdere patiënten). Middels focusgroepinterviews met fysiotherapeuten en patiënten worden hieruit de meest kansrijke (maximaal 5) prototypes geselecteerd. Voor deze geselecteerde prototypes worden vervolgens de vereiste data-analyses ontwikkeld die de datavisualisaties op de dashboards van de landelijke databases mogelijk maken (werkpakket 2: prototypes en data-analyses). In kleine pilots worden deze datavisualisaties door eindgebruikers toegepast in de praktijk om te bepalen of ze daadwerkelijk aan hun wensen voldoen (werkpakket 3: pilots). Uit dit 1-jarige project kan een groot vervolgonderzoek ‘ontkiemen’ naar het effect van betekenisvolle datavisualisaties op de uitkomsten van zorg.
Many lithographically created optical components, such as photonic crystals, require the creation of periodically repeated structures [1]. The optical properties depend critically on the consistency of the shape and periodicity of the repeated structure. At the same time, the structure and its period may be similar to, or substantially below that of the optical diffraction limit, making inspection with optical microscopy difficult. Inspection tools must be able to scan an entire wafer (300 mm diameter), and identify wafers that fail to meet specifications rapidly. However, high resolution, and high throughput are often difficult to achieve simultaneously, and a compromise must be made. TeraNova is developing an optical inspection tool that can rapidly image features on wafers. Their product relies on (a) knowledge of what the features should be, and (b) a detailed and accurate model of light diffraction from the wafer surface. This combination allows deviations from features to be identified by modifying the model of the surface features until the calculated diffraction pattern matches the observed pattern. This form of microscopy—known as Fourier microscopy—has the potential to be very rapid and highly accurate. However, the solver, which calculates the wafer features from the diffraction pattern, must be very rapid and precise. To achieve this, a hardware solver will be implemented. The hardware solver must be combined with mechatronic tracking of the absolute wafer position, requiring the automatic identification of fiduciary markers. Finally, the problem of computer obsolescence in instrumentation (resulting in security weaknesses) will also be addressed by combining the digital hardware and software into a system-on-a-chip (SoC) to provide a powerful, yet secure operating environment for the microscope software.
By transitioning from a fossil-based economy to a circular and bio-based economy, the industry has an opportunity to reduce its overall CO2 emission. Necessary conditions for effective and significant reductions of CO2-emissions are that effective processing routes are developed that make the available carbon in the renewable sources accessible at an acceptable price and in process chains that produce valuable products that may replace fossil based products. To match the growing industrial carbon demand with sufficient carbon sources, all available circular, and renewable feedstock sources must be considered. A major challenge for greening chemistry is to find suitable sustainable carbon that is not fossil (petroleum, natural gas, coal), but also does not compete with the food or feed demand. Therefore, in this proposal, we omit the use of first generation substrates such as sugary crops (sugar beets), or starch-containing biomasses (maize, cereals).
Lectoraat, onderdeel van NHL Stenden Hogeschool