BackgroundPatients undergoing total knee arthroplasty (TKA) often experience strength deficits both pre- and post-operatively. As these deficits may have a direct impact on functional recovery, strength assessment should be performed in this patient population. For these assessments, reliable measurements should be used. This study aimed to determine the inter- and intrarater reliability of hand-held dynamometry (HHD) in measuring isometric knee strength in patients awaiting TKA.MethodsTo determine interrater reliability, 32 patients (81.3% female) were assessed by two examiners. Patients were assessed consecutively by both examiners on the same individual test dates. To determine intrarater reliability, a subgroup (n = 13) was again assessed by the examiners within four weeks of the initial testing procedure. Maximal isometric knee flexor and extensor strength were tested using a modified Citec hand-held dynamometer. Both the affected and unaffected knee were tested. Reliability was assessed using the Intraclass Correlation Coefficient (ICC). In addition, the Standard Error of Measurement (SEM) and the Smallest Detectable Difference (SDD) were used to determine reliability.ResultsIn both the affected and unaffected knee, the inter- and intrarater reliability were good for knee flexors (ICC range 0.76-0.94) and excellent for knee extensors (ICC range 0.92-0.97). However, measurement error was high, displaying SDD ranges between 21.7% and 36.2% for interrater reliability and between 19.0% and 57.5% for intrarater reliability. Overall, measurement error was higher for the knee flexors than for the knee extensors.ConclusionsModified HHD appears to be a reliable strength measure, producing good to excellent ICC values for both inter- and intrarater reliability in a group of TKA patients. High SEM and SDD values, however, indicate high measurement error for individual measures. This study demonstrates that a modified HHD is appropriate to evaluate knee strength changes in TKA patient groups. However, it also demonstrates that modified HHD is not suitable to measure individual strength changes. The use of modified HHD is, therefore, not advised for use in a clinical setting.
MULTIFILE
The aim of this study is to investigate the factors affecting the entrepreneurial intention (EI) of university students. In order to do so, EI, individual entrepreneurial orientation, self-efficacy, perceived educational support, perceived relational support, perceived structural support, knowledge sharing, and gender were used within the proposed model, and the constructed hypotheses were evaluated using SEM. The findings of a survey of 268 students show that self-efficacy is the strongest influencer of students’ EI. The findings also show the mediating influence of self-efficacy on the environmental components. Additionally, male students are more likely than female students to have EI.
Although governments are investing heavily in big data analytics, reports show mixed results in terms of performance. Whilst big data analytics capability provided a valuable lens in business and seems useful for the public sector, there is little knowledge of its relationship with governmental performance. This study aims to explain how big data analytics capability led to governmental performance. Using a survey research methodology, an integrated conceptual model is proposed highlighting a comprehensive set of big data analytics resources influencing governmental performance. The conceptual model was developed based on prior literature. Using a PLS-SEM approach, the results strongly support the posited hypotheses. Big data analytics capability has a strong impact on governmental efficiency, effectiveness, and fairness. The findings of this paper confirmed the imperative role of big data analytics capability in governmental performance in the public sector, which earlier studies found in the private sector. This study also validated measures of governmental performance.
MULTIFILE
Het RaakPRO project INTRALOG (1/9/2015-31/8/2019) heeft inzicht opgeleverd in de toepassing van autonoom rijden op distributiecentra (DCs). Het project heeft door de samenwerking van hogescholen en universiteiten met bedrijven, kenniscentra en branchevertegenwoordigers, op de thema’s businessmodellen en technologische innovatie in de ontwikkeling van autonoom rijden, een uniek resultaat bereikt. Een autonoom rijdende Yard Truck, gestuurd door Multi Agent System voor het beheer van de logistieke infrastructuur op een distributiecentrum. De aansturing en organisatie van de externe logistiek op een distributiecentrum (DC) door een Multi Agent Systeem (MAS), borgt een optimale inzet van autonoom rijdende Yard Trucks. In de ontwikkeling van het MAS is onderzoek uitgevoerd bij de logistieke partners van INTRALOG. Doel was inzicht in de logistieke eisen en randvoorwaarden vervoersbewegingen op DCs en deze te vertalen in kritische prestatie indicatoren (KPIs) voor de autonome Yard Trucks. De realisatie van een autonoom rijdende Yard Truck op modelschaal is gedaan door de ontwikkeling van een rij-robot (controller) die in staat is om los van de infrastructuur een Yard Truck autonoom over en binnen een bestaande infrastructuur te dirigeren. De randvoorwaarden voor het uitvoeren van de voertuigbewegingen van de Yard Truck, zijn voortgekomen uit de KPIs die bepaald zijn aan de hand van de onderzochte businessmodellen. Centraal in de Top-Up staan twee aspecten: 1) de ontwikkeling van een video waarin het autonoom dokken centraal staat dat gestuurd wordt door een MAS-applicatie en 2) een seminar gericht op de toepassing van het resultaat van INTRALOG op distributiecentrums. De doelstelling van de Top-up is primair het verspreiden van het gedachtegoed van INTRALOG, maar ook het: o Vergroten van het netwerk van het consortium van INTRALOG; en o Demonstreren om versneld tot een real life product te komen.
This proposal aims to explore a radically different path towards a more sustainable fashion future through technology. Most research on fashion and technology focuses on high tech innovation and, as a result, overlooks knowledge that is already available and has been used, tested and improved for centuries. The proposed research project, however, looks backward to move forward. It aims to investigate ‘the blindingly obvious’ and asks the question how historical technologies could be used to solve contemporary environmental issues in fashion. It thus argues that technology from the past could inspire both designers and technologists to come up with new and exciting solutions to make the future of fashion more sustainable. The current fast fashion system has changed the relationship consumers have with their clothing. Clothing has become a throwaway object and this has severe environmental implications. This research project aims to find a solution by exploring historical technologies - such as folding, mending and reassembling-, because in the past a ‘sustainable’ attitude towards fashion was the norm simply because cloth and garments were expensive. It wants to examine what happens when consumers, fashion designers and technologists are confronted with these techniques. What would, for example, materialize when an aeronautical engineer takes the technique of folding as a starting point and aims to create clothes that can grow with babies and toddlers? The answer is the signature suit of the brand Petit Pli: a special folding technique allows their signature suit to grow with children from 3 months to 3 years. Much like the age-old folding techniques applied in traditional Dutch dress, which allowed the size women’s jackets to be altered, by simply adjusting the pleats. Similarly, this project aims to investigate how high tech solutions, can be initiated through historical techniques.
One of the major challenges for microsystem-based (MEMS -based) devices producing companies in general, and Bronkhorst High-Tech in particular, is to determine as early as possible in the production process which devices perform within specifications and if so by how much. Being able to separate the devices that do not comply as early as possible in the assembly flow would prevent spending time, money and materials on unsellable products. Being able to further separate good devices in multiple “performance bins” would bring even more cost and waste reduction by enabling Bronkhorst to pre-select finished products for different customer requirements. In this project we specifically focus on a micromachined flow sensor which is considered for a scale-up in production volumes in the near future. The ability to separate out badly performing devices translates to the challenge of finding a suitable test method, yielding the following research question: what are the success factors that would allow our MEMS partners to correlate product performance with measurements (tests) performed early in the production cycle? An answer makes it possible to implement the planned production scale-up of this MEMS device but also to reduce costs and waste typically associated with production failures. The device selected in this project is taken as an example for a broad range of chip-based MEMS devices with similar challenges. Therefore, we plan to use an applied research approach, looking at theoretical models of both device and production process, performing correlation measurements and delivering our recommendations on how to best tackle these production issues. It is our intention to thus generate expertise (knowledge & data) as well as a network on which we build a consortium around a future PPS (public-private partnership) where these challenges form a common theme.
