Apeldoorn, Netherlands

AVANS University of Applied Sciences

www.studyatavans.com
Apeldoorn, Netherlands

Avans University of Applied science is a high-ranked Dutch vocational university. It is located in three cities: Breda, 's-Hertogenbosch, and Tilburg. The school has 25,000 students studying 40 courses in 18 institutes. There are 2,300 employees.Avans University of Applied science itself was founded on January 1, 2004 as a union of Hogeschool 's-Hertogenbosch and Hogeschool Brabant in Tilburg, Breda, and Etten-Leur. Hogeschool Brabant itself was a union from 1988 of Hogeschool West-Brabant and Hogeschool Midden-Brabant . The oldest branch of Avans University of Applied science is the Kunstacademie in 's-Hertogenbosch, which was founded on October 1, 1812. Wikipedia.


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Mohammadi T.,University Utrecht | Van Dam V.,University Utrecht | Sijbrandi R.,University Utrecht | Sijbrandi R.,AVANS University of Applied Sciences | And 7 more authors.
EMBO Journal | Year: 2011

Bacterial cell growth necessitates synthesis of peptidoglycan. Assembly of this major constituent of the bacterial cell wall is a multistep process starting in the cytoplasm and ending in the exterior cell surface. The intracellular part of the pathway results in the production of the membrane-anchored cell wall precursor, Lipid II. After synthesis this lipid intermediate is translocated across the cell membrane. The translocation (flipping) step of Lipid II was demonstrated to require a specific protein (flippase). Here, we show that the integral membrane protein FtsW, an essential protein of the bacterial division machinery, is a transporter of the lipid-linked peptidoglycan precursors across the cytoplasmic membrane. Using Escherichia coli membrane vesicles we found that transport of Lipid II requires the presence of FtsW, and purified FtsW induced the transbilayer movement of Lipid II in model membranes. This study provides the first biochemical evidence for the involvement of an essential protein in the transport of lipid-linked cell wall precursors across biogenic membranes. © 2011 European Molecular Biology Organization | All Rights Reserved.


Gobbens R.J.J.,AVANS University of Applied Sciences | Luijkx K.G.,University of Tilburg | Wijnen-Sponselee M.T.,AVANS University of Applied Sciences | Schols J.M.G.A.,Maastricht University
Journal of Nutrition, Health and Aging | Year: 2010

Objectives: Most conceptual and operational definitions of frailty place heavy emphasis on the physical problems encountered by older people. The accompanying models are based largely on a medical model. An integral approach is almost never adopted. This study aims to develop both an integral operational definition of frailty and an integral conceptual model of frailty. Design: In order to achieve these aims, a thorough literature search was performed on components of operational definitions and models of frailty. In addition, experts (N=17) were consulted during two expert meetings. Results: There was consensus among the experts on the inclusion of the following components in the operational definition of frailty: strength, balance, nutrition, endurance, mobility, physical activity and cognition. Some respondents indicated that they would wish to add components from the psychological or social domain. Supported by results from the literature search, a new integral operational definition of frailty was developed. This operational definition lies at the heart of an integral conceptual working model of frailty. This model expresses the relationships between three domains of frailty, adverse outcomes such as disability and the determinants. Conclusion: The model should be able to serve as a basis for further scientific research on frailty. The model also provides a framework for the development of a measurement instrument which can be used for the identification of frail elderly persons.


Kok M.G.M.,University Utrecht | Kok M.G.M.,AVANS University of Applied Sciences | Somsen G.W.,VU University Amsterdam | de Jong G.J.,University Utrecht | de Jong G.J.,AVANS University of Applied Sciences
TrAC - Trends in Analytical Chemistry | Year: 2014

Capillary electrophoresis-mass spectrometry (CE-MS) is increasingly used for the targeted and untargeted analysis of metabolites in biological samples. CE-MS is particularly useful for the profiling of highly polar metabolites without the need for derivatization and/or extensive sample preparation. This overview covers reported studies in which CE or CE-MS was used with direct MS, gas chromatography (GC)-MS, liquid chromatography (LC)-MS, and/or nuclear magnetic resonance (NMR) spectroscopy for the analysis of metabolites. We include an extensive overview of comparative metabolic profiling studies involving multiple analytical techniques, including CE. Tables set out the particular conditions and the characteristics of each study. Furthermore, we discuss and compare the results of these studies using selected examples. Based on the outcomes of the comparative studies, we conclude that CE is highly complementary to the other analytical technologies and can add essential information on the metabolic profile of biological samples. © 2014 Elsevier B.V.


Bierma-Zeinstra S.M.A.,Erasmus Medical Center | Verhagen A.P.,Erasmus Medical Center | Verhagen A.P.,AVANS University of Applied Sciences
Arthritis Research and Therapy | Year: 2010

Treatment guidelines for osteoarthritis have stressed the need for research on clinical predictors of response to different treatments. However, identifying such clinical predictors of response is less easy than it seems, and there is not a given classification of osteoarthritis subpopulations. This review article highlights the key methodical issues when analyzing and designing clinical studies to detect important subgroups with respect to treatment effect. In addition, we discuss the main osteoarthritis subpopulations and give examples of how specific treatment effects in these subpopulations have been assessed. © 2011 BioMed Central Ltd.


Neven L.,AVANS University of Applied Sciences | Walker G.,Lancaster University | Brown S.,Lancaster University
Energy Policy | Year: 2015

The use of more sustainable thermal technologies is a policy imperative across the UK building stock. However, not all building uses provide the same opportunities for technology uptake as others. Care homes for older people have characteristics which in technical and economic terms suggest that they might be particularly appropriate for the implementation of more sustainable thermal technologies. They have comparatively high demands for space heating and hot water often sustained on a 24/7 basis. However there are many considerations, both generic and contextual, that will typically play into processes of technology uptake. Through qualitative research in six case study homes, focused on management and staff perspectives and experiences, we explore the degree to which there might be a productive alignment between care home operation and the use of sustainable thermal technologies. Two key themes emerge focused on business considerations and the importance of avoiding risk and damage to reputation; and the ways in which different thermal technologies are relevant to and can potentially impact on care practices. We conclude that despite potential benefits the sector could remain rather resistant to sustainability innovations. We suggest therefore areas in which productive action and further research could be undertaken. © 2014.


Huijben-Schoenmakers M.,AVANS University of Applied Sciences | Rademaker A.,AVANS University of Applied Sciences | Scherder E.,University of Amsterdam
Clinical Rehabilitation | Year: 2013

Objective: To increase autonomous practice time of patients on the stroke unit of a nursing home. Intervention: Nurses stimulated and coached patients with the help of four interventions (muscle strengthening, sitting balance and reach, getting up from a chair, walking) from the evidence-based Clinical Nursing Rehabilitation Stroke Guidelines. Design: An observational study. Practice time of elderly stroke patients in this study was compared with the time observed in our previous study in the same setting. Setting: Rehabilitation units of a nursing home in the Netherlands. Subjects: Seventeen frail stroke patients, including 8 men, 9 women, with a mean age of 75.8 (SD ± 9) and 17 subjects with the same characteristics who participated in a previous observational study. Main measures: Time spent on therapeutic activities was measured using the Behavioral Mapping method. Results: The time spent on therapeutic activities increased significantly from 103.5 minutes measured in our previous study to 156.5 minutes in this study (Z = 2.86; P < 0.005; d' = 1.09) The mean Barthel Index score was 8.8 (SD ± 4.1). The patients with more possibilities were more active, resulting in a significant positive Barthel Indextherapy time relationship (r = 0.73, P ≤ 0.001). Conclusions: The autonomous practice time of older fragile comorbid stroke patients increased during the weekdays. Patients, stimulated and challenged by nurses, exercise harder and more according to their possibilities. Since this guideline was developed especially for nurses, nurses can stimulate stroke patients to contribute more to autonomous practice and therefore help their recovery. © The Author(s) 2012.


Andries J.P.M.,AVANS University of Applied Sciences | Heyden Y.V.,Vrije Universiteit Brussel | Buydens L.M.C.,Radboud University Nijmegen
Analytica Chimica Acta | Year: 2013

The calibration performance of partial least squares regression for one response (PLS1) can be improved by eliminating uninformative variables. Many variable-reduction methods are based on so-called predictor-variable properties or predictive properties, which are functions of various PLS-model parameters, and which may change during the steps of the variable-reduction process. Recently, a new predictive-property-ranked variable reduction method with final complexity adapted models, denoted as PPRVR-FCAM or simply FCAM, was introduced. It is a backward variable elimination method applied on the predictive-property-ranked variables. The variable number is first reduced, with constant PLS1 model complexity A, until A variables remain, followed by a further decrease in PLS complexity, allowing the final selection of small numbers of variables. In this study for three data sets the utility and effectiveness of six individual and nine combined predictor-variable properties are investigated, when used in the FCAM method. The individual properties include the absolute value of the PLS1 regression coefficient (REG), the significance of the PLS1 regression coefficient (SIG), the norm of the loading weight (NLW) vector, the variable importance in the projection (VIP), the selectivity ratio (SR), and the squared correlation coefficient of a predictor variable with the response y (COR). The selective and predictive performances of the models resulting from the use of these properties are statistically compared using the one-tailed Wilcoxon signed rank test. The results indicate that the models, resulting from variable reduction with the FCAM method, using individual or combined properties, have similar or better predictive abilities than the full spectrum models. After mean-centring of the data, REG and SIG, provide low numbers of informative variables, with a meaning relevant to the response, and lower than the other individual properties, while the predictive abilities are similar or better. SIG has the best selective ability of all individual and combined properties, while the predictive ability is similar. REG is faster than SIG. This means that variable reduction with the FCAM method is preferably conducted with properties REG or SIG. The selective ability of REG can be improved by combining it with NLW or VIP. © 2012 Elsevier B.V.


Zoeteman B.C.J.,University of Tilburg | Krikke H.R.,University of Tilburg | Venselaar J.,AVANS University of Applied Sciences
International Journal of Advanced Manufacturing Technology | Year: 2010

This paper explores the present and future magnitude of global waste of electrical and electronic equipment flows, and investigates desirable changes in these flows from a sustainable development point of view. Quantitative estimates of present and future e-waste flows between global regions, generating, and processing waste are presented and their driving forces are analyzed. Global e-waste production by households exceeded an annual amount of 20 million tons in 2005. Domestic e-waste generation in China has already climbed dramatically, now equalling the amount generated in Japan. China is second in the world after the USA in landfilling and incineration of ewaste residues. Absolute volumes of recycled e-waste are largest in the EU, followed by Japan. After a period characterized by national disposal practices, a period of global low-level recovery practices has emerged. The paper analyzes exogenous factors, including legislating promoting extended producer responsibility, which are favoring as a next step regionalizing of (reverse) supply chains. Examples on a business level are discussed and critical success factors for applying regional high-level recovery are identified. The analysis shows that in the coming decades, two options will compete on a global scale: (1) a further expansion of the present low-level recovery system of ewaste recycling, and (2) a regional approach with higher level recovery applications. The authors argue that putting businesses, more specifically, the original equipment manufacturers, instead of legislators in the driver seat, will strengthen the opportunities for high-level recovery. © The Author(s) 2009.


Andries J.P.M.,AVANS University of Applied Sciences | Vander Heyden Y.,Vrije Universiteit Brussel | Buydens L.M.C.,Radboud University Nijmegen
Analytica Chimica Acta | Year: 2011

The calibration performance of partial least squares for one response variable (PLS1) can be improved by elimination of uninformative variables. Many methods are based on so-called predictive variable properties, which are functions of various PLS-model parameters, and which may change during the variable reduction process. In these methods variable reduction is made on the variables ranked in descending order for a given variable property. The methods start with full spectrum modelling. Iteratively, until a specified number of remaining variables is reached, the variable with the smallest property value is eliminated; a new PLS model is calculated, followed by a renewed ranking of the variables. The Stepwise Variable Reduction methods using Predictive-Property-Ranked Variables are denoted as SVR-PPRV. In the existing SVR-PPRV methods the PLS model complexity is kept constant during the variable reduction process. In this study, three new SVR-PPRV methods are proposed, in which a possibility for decreasing the PLS model complexity during the variable reduction process is build in.Therefore we denote our methods as PPRVR-CAM methods (Predictive-Property-Ranked Variable Reduction with Complexity Adapted Models). The selective and predictive abilities of the new methods are investigated and tested, using the absolute PLS regression coefficients as predictive property. They were compared with two modifications of existing SVR-PPRV methods (with constant PLS model complexity) and with two reference methods: uninformative variable elimination followed by either a genetic algorithm for PLS (UVE-GA-PLS) or an interval PLS (UVE-iPLS). The performance of the methods is investigated in conjunction with two data sets from near-infrared sources (NIR) and one simulated set. The selective and predictive performances of the variable reduction methods are compared statistically using the Wilcoxon signed rank test.The three newly developed PPRVR-CAM methods were able to retain significantly smaller numbers of informative variables than the existing SVR-PPRV, UVE-GA-PLS and UVE-iPLS methods without loss of prediction ability. Contrary to UVE-GA-PLS and UVE-iPLS, there is no variability in the number of retained variables in each PPRV(R) method. Renewed variable ranking, after deletion of a variable, followed by remodelling, combined with the possibility to decrease the PLS model complexity, is beneficial. A preferred PPRVR-CAM method is proposed. © 2011 Elsevier B.V.


Van Dael M.,Hasselt University | Van Passel S.,Hasselt University | Pelkmans L.,Flemish Institute for Technological Research | Guisson R.,Flemish Institute for Technological Research | And 4 more authors.
Applied Energy | Year: 2013

Biomass as a renewable energy source has many advantages and is therefore recognized as one of the main renewable energy sources to be deployed in order to attain the target of 20% renewable energy use of final energy consumption by 2020 in Europe. In this paper the concept of a biomass Energy Conversion Park (ECP) is introduced. A biomass ECP can be defined as a synergetic, multi-dimensional biomass conversion site with a highly integrated set of conversion technologies in which a multitude of regionally available biomass (residue) sources are converted into energy and materials. A techno-economic assessment is performed on a case study in the Netherlands to illustrate the concept and to comparatively assess the highly integrated system with two mono-dimensional models. The three evaluated models consist of (1) digestion of the organic fraction of municipal solid waste, (2) co-digestion of manure and co-substrates, and (3) integration. From a socio-economic point of view it can be concluded that it is economically and energetically more interesting to invest in the integrated model than in two separate models. The integration is economically feasible and environmental benefits can be realized. For example, the integrated model allows the implementation of a co-digester. Unmanaged manure would otherwise represent a constant pollution risk. However, from an investor's standpoint one should firstly invest in the municipal solid waste digester since the net present value (NPV) of this mono-dimensional model is higher than that of the multi-dimensional model. A sensitivity analysis is performed to identify the most influencing parameters. Our results are of interest for companies involved in the conversion of biomass. The conclusions are useful for policy makers when deciding on policy instruments concerning manure processing or biogas production. © 2012 Elsevier Ltd.

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