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Personalized Short-Term Blood Glucose Prediction in T1DM
Insulin therapy for tight glycemia regulation in T1DM strongly depends on patients ́ daily decisions about insulin delivery adaptations in relation to: health status, current BG, target BG, insulin sensitivity, diet and foreseen activities. A personalized predictor providing near future BG predictions would support the users in the decision-making tasks while letting them maintaining control over
Kreativt och kritiskt tänkande i utbildning på forskarnivå
On Scheduling in a Semi-Ordered Flow Shop without Intermediate Queues
Goda skäl att anonymisera ansökningar
Bostadsanpassningsprocessen – de boendes upplevelser och erfarenheter.
”Kom så går vi” – En utvärdering av åtgärder i utemiljön med avseende på tillgänglighet, säkerhet och rörlighet för äldre.
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Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times
Data centers currently waste a lot of energy, due to lack of energy proportionality and low resource utilization, the latter currently being necessary to ensure application responsiveness. To address the second concern we propose a novel application-level technique that we call event-driven Brownout. For each request, i.e., in an event-driven manner, the application can execute some optional code
Gränsöverskridande lärande i tvärvetenskapliga forskarskolor : Gränslöst eller begränsande?
TrueTime 1.13 - Reference Manual
60 GHz Wavelet Generator for Impulse Radio Applications
Hur kommer folkhögskolorna att påverkas av den digitala utvecklingen med global undervisning
Mapping of University Patenting Patterns at Lund University. Paper
Les Houches Guidebook to Monte Carlo Generators for Hadron Collider Physics
Use of FE-analysis for predicting and verifying the design of an automotive component forming process with special regard to macro geometric defects
This thesis includes four appended papers. The thesis describes the challenges and advantages of the use of FE-analysis in the design of a component forming process in the automotive industry. Today, shortened lead-times in the automotive industry have dramatically increased the need for more efficient development methods in each stage of the process development chain. In order to decrease the lon