669 research outputs found

    sj-jpg-1-epb-10.1177_23998083211041372 - Supplemental material for A game co-design method to elicit knowledge for the contextualization of spatial models

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    Supplemental material, sj-jpg-1-epb-10.1177_23998083211041372 for A game co-design method to elicit knowledge for the contextualization of spatial models by Carissa J Champlin, Johannes Flacke and Geert PMR Dewulf in EPB: Urban Analytics and City Science</p

    sj-pdf-2-epb-10.1177_23998083211041372 - Supplemental material for A game co-design method to elicit knowledge for the contextualization of spatial models

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    Supplemental material, sj-pdf-2-epb-10.1177_23998083211041372 for A game co-design method to elicit knowledge for the contextualization of spatial models by Carissa J Champlin, Johannes Flacke and Geert PMR Dewulf in EPB: Urban Analytics and City Science</p

    sj-pdf-3-epb-10.1177_23998083211041372 - Supplemental material for A game co-design method to elicit knowledge for the contextualization of spatial models

    No full text
    Supplemental material, sj-pdf-3-epb-10.1177_23998083211041372 for A game co-design method to elicit knowledge for the contextualization of spatial models by Carissa J Champlin, Johannes Flacke and Geert PMR Dewulf in EPB: Urban Analytics and City Science</p

    Potential dietary feed additives with antibacterial effects and their impact on performance of weaned piglets: A meta-analysis

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    This meta-analysis evaluated the use of potential dietary feed additives (pDFA) with antibacterial effects and their impact on the perfomance of weaned piglets. Twenty-three peer-reviewed in vivo studies, comprising 50 trials, were identified between January 2010 and January 2017. The pDFA in these studies could be grouped in 5 classes: antimicrobial peptides, chitosan, lysozyme, medium chain fatty acids/ triglycerides and plant extracts. Mixed-effect meta-analyses with type of pDFA as fixed effect were performed for the growth parameters ‘average daily gain’ (ADG) and ‘feed conversion ratio’ (FCR), which are the two most important and used economic performance parameters for farmers. For each class of pDFA, results of the meta-analysis showed significantly higher average daily gain in the group with pDFA compared to the negative control group, while no significant difference with the positive control group was observed. Furthermore, a positive effect on FCR was found, i.e. significantly less feed was needed to gain 1 kg of body weight in the group with pDFA compared to the negative control group. No significant differences with positive control groups were observed for each class of pDFA, except for plant extracts, where the FCR was also significantly reduced in the treatment group. These results suggest that pDFA could reduce the use of antimicrobials without significant negative effects on performance indicators

    Lessons from Innovations

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    Juriaan van Meel and Theo van der Voordt describe the interaction between workplace concepts and the functioning of organisations and individual employees. Although scientific evaluations are scarce, it may be concluded that innovative concepts fit better with new ways of working. Teleworking and the provision of different workspaces for different activities support the need for both communication and concentration. Non-territorial use of workspace may lead to a more efficient use of space. Most users of innovative environments like their trendy environment and don't want to return to a traditional office building. However, psychological needs such as privacy and territoriality must not be underestimated.Real Estate Managemen

    Towards a pragmatic approach for dealing with uncertainties in water management practice

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    Management of water resources is afflicted with uncertainties. Nowadays it is facing more and new uncertainties since pace and dimension of changes (e.g. climatic, demographic) are accelerating and are likely to increase even more in the future. Hence it is crucial to find pragmatic ways to deal with these uncertainties in water management. So far, decision-making under uncertainty in water management is based on either intuition, heuristics and experience of water managers or on expert assessments all of which are only of limited use for water managers in practice. We argue for an analytical yet pragmatic approach to enable practitioners to deal with uncertainties in a more explicit and systematic way and allow for better informed decisions. Our approach is based on the concept of framing, referring to the different ways in which people make sense of the world and of the uncertainties. We applied and tested recently developed parameters that aim to shed light on the framing of uncertainty in two sub-basins of the Rhine. We present and discuss the results of a series of stakeholder interactions in the two basins aimed at developing strategies for improving dealing with uncertainties. The strategies are synthesized in a cross-checking list based on the uncertainty framing parameters as a hands-on tool for systematically identifying improvement options when dealing with uncertainty in water management practice. We conclude with suggestions for testing the developed check-list as a tool for decision aid in water management practice. Key words: water management, future uncertainties, framing of uncertainties, hands-on decision aid, tools for practice, robust strategies, social learnin

    Kwantificatie en compensatie van door geometrie geïnduceerde fouten in cone-beam X-stralen computertomografie

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    Since the industrial revolution, dimensional metrology has been tasked with meeting the continuously increasing demand for higher accuracy, faster and more comprehensive measuring techniques. X-ray Computed Tomography (CT) is a widely accepted non-destructive three-dimensional characterization technology which employs penetrating electromagnetic radiation and dedicated mathematical algorithms to visualize and analyze the internal structure of an object. While CT has shown significant potential for non-destructive coordinate measurements of external and internal features, there is a need for metrological research to accelerate the acceptance of CT as a measuring instrument. There is uncertainty in the result of any measurement. Uncertainty is an indication of the quality of a given measurement result and translates into the confidence with which a decision on part conformance can be made. Metrological standards demand that each source of error be determined, if possible, compensated, and residuals after compensation propagated to uncertainty in the measurement result. The major problems complicating characterization and compensation of error sources in CT dimensional measurements are an analytically intractable measurement model i.e. measurement model cannot be written as closed-form analytic expression) and high computational cost associated with simulation of the CT measurement procedure (time, memory and other resources). These problems highlight the need for a framework where uncertainty due to geometrical influence factors is addressed and managed in a computationally efficient way. In this thesis, a framework to handle geometry-induced errors for CT dimensional measurements is developed. The framework consists of three main parts: 1. a method for reducing influence of the Feldkamp artifacts, 2. a method for software-based compensation of misalignments in CT geometry, and 3. a computationally inexpensive model for estimating dimensional measurement uncertainty due to residual misalignments in the CT instrument geometry. Appearance of Feldkamp artifacts depends on the object itself and its position and orientation during data acquisition. The first method uses a meshed surface, e.g. a Computer-Aided Design (CAD) model of an object and its orientation in the measurement volume to predict where the object's surface will not be reconstructed properly due to Feldkamp artifacts. The method is applied to estimate the object position and orientation that reduces the effects of Feldkamp artifacts. The second part of the work investigates the capabilities of software-based compensation of CT instrument misalignments as an effective alternative to mechanical adjustment of a CT instrument. Quantitative and qualitative results from computer simulations and experimental study show that a modified conventional reconstruction algorithm with embedded misalignment compensation is an efficient and robust alternative to mechanical adjustment of a CT instrument. The third part of the proposed framework is a model for estimating dimensional measurement uncertainty due to CT instrument misalignments. The model uses surface points extracted from a CAD-model to calculate discrepancies in the radiographic image coordinates assigned to the projected edges from an aligned system and from a system with misalignments. The proposed method is designed to provide computational benefits in the assessment of coordinate measurement uncertainty when compared to a full Monte Carlo simulation of a CT measurement chain. The efficacy of the proposed method was confirmed on simulated and experimental data in the presence of various geometrical uncertainty contributors.status: Publishe
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