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Objective. In this study it was investigated whether an artificial neural network can be used to determine the horizontal, fore-aft component of the ground reaction force from insole pressure patterns. Design. An artificial neural network was applied to map insole pressures and ground reaction forces. Method. To train an artificial neural network insole pressure patterns and ground reaction force data were simultaneously determined for a wide range of different speeds (0.9-2.3 m s−1) for five subjects. Both intrasubject and intersubject generalizability were evaluated. Results. At the intrasubject level generalizability was good when the speed for which the force was to be predicted was within the range of speeds from which data were used to train the network. Besides in some cases, generalizability to a condition outside the range of training conditions could be demonstrated. At the intersubject level the quality of generalization differed widely over subjects, from poor to good. Conclusions. It was found that an artificial neural network is able to map the relationship between insole pressure patterns and the fore-aft component of the ground reaction force. Relevance Good intrasubject generalization of 'knowledge' obtained by an artificial neural network will allow the assessment of the fore-aft component of ground reaction force in condition that cannot be evaluated with force plates, e.g. activities of daily living or real sport situations. Additionally, intersubject generalization will allow shear-force recordings in subjects that are not able to complete a great number of runs to acquire enough force-plate hits.
Our unilateral diet has resulted in a deficiency of specific elements/components needed for well-functioning of the human body. Especially the element magnesium is low in our processed food and results in neuronal and muscular malfunctioning, problems in bone heath/strength, and increased chances of diabetes, depression and cardiovascular diseases. Furthermore, it has also been recognized that magnesium plays an important role in cognitive functioning (impairment and enhancement), especially for people suffering from neurodegenerative diseases (Parkinson disease, Alzheimer, etc). Recently, it has been reported that magnesium addition positively effects sleep and calmness (anti-stress). In order to increase the bioavailability of magnesium cations, organic acids such as citrate, glycerophosphate and glycinate are often used as counterions. However, the magnesium supplements that are currently on the market still suffer from low bio-availability and often do not enter the brain significantly.The preparation of dual/multiple ligands of magnesium in which the organic acid not only functions as a carrier but also has synergistically/complementary biological effects is widely unexplored and needs further development. As a result, there is a strong need for dual/multiple magnesium supplements that are non-toxic, stable, prepared via an economically and ecologically attractive route, resulting in high bioavailability of magnesium in vivo, preferably positively influencing cognition/concentration
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.
De eiwittransitie slaat aan en zeewier, eendenkroos en reststromen van landbouwgewassen vormen een deel van de voedselbronnen van de toekomst. De kennis over de smaak van eiwitten en aminozuren is groeiende, maar de relatie tussen chemische structuur en smaak verdient aandacht en dat kan door te focussen op kleine peptiden en losse aminozuren. Het project “Aahminozuren!” maakt dat mogelijk. Met deze KIEM aanvraag willen de hogescholen Inholland (Delft, Amsterdam) en HZ University of Applied Sciences (Vlissingen) samen met het bedrijf Biorefinery Solutions (Raalte) verkennend onderzoek doen in een samenwerking met een helder lange termijnperspectief. Doelstelling is tot methoden te komen die het mogelijk maken om enkele kleine eiwitten - en de aminozuren waaruit die zijn opgebouwd – chemisch te karakteriseren en op een doelmatige wijze sensorisch te beoordelen. De deelnemende opleidingen zijn complementair qua expertise en hebben een gezamenlijke affiniteit voor de productie van nieuwe voedingscomponenten uit alternatieve plantaardige bronnen. Daarbij staat smaak voorop. Het langetermijnperspectief is om uit zeewier, eendenkroos en reststromen van landbouwgewassen waardevolle componenten te kunnen isoleren met een toegevoegde waarde op het gebied van smaak. De onderliggende kennis die de relaties tussen structuur en smaak verklaren zal zo kunnen worden gegenereerd, en academische kennis wordt rijp gemaakt voor toepassingen. Doel is ook om ons onderwijs met die kennis en onderzoeksmethoden te verrijken. Studenten hebben in dit project een grote rol. In juni 2021 hopen we met hen en met hun begeleiders een basis te hebben gelegd voor een verdergaande onderzoeksagenda.
