Cutting edge: Science hackathons for developing interdisciplinary research and collaborations

Science hackathons can help academics, particularly those in the early stage of their careers, to build collaborations and write research proposals.This work was funded by the UK Engineering and Physical Sciences Research Council under grant numbers EP/I017909/1 (www.2020science.net), and by the Department of Mathematics at Imperial College London under the EPSRC Mathematics Platform grant EP/I019111/1

Belbin Revisited: The Construct Validity of the Interplace II Team Role Instrument

In the present study the construct validity of the revised edition of the Belbin Team Roles measure, the so-called Interplace II program, is tested. Three parallel parts were used to determine someone’s team roles. The sample included 1434 persons who were asked to fill out the self-perception inventory and the self-perception assessment, whereas the observer assessment sheet was filled out by at least four observers. The inter-rater reliability appeared to be satisfactory across all team roles. As for the construct validity, which was studied in a multitrait-multimethod design using structural equation modeling, the results revealed that the discriminant and convergent validity for the instrument as a whole is good; only a small effect could be contributed to method variance.Belbin;multitrait-multimethod methodology;team roles;teams

Animal breeding in organic farming

After a general introduction into the available breeding techniques for animal breeding and an overview of the organic principles, points for discussion are identified and scenario's for organically accepted breeding methods are discussed

Genetic Improvement of Livestock for Organic Farming Systems

Organic farming which experienced a constant rise over the last two decades is a system based on sustainability and on a concept tending towards functional integrity. Legislation as well as the wish to produce separately from conventional farming raise the question whether organic farming should be conducted completely apart from conventional farming or not. This paper discusses the aspects that affect animal breeding under these circumstances, e.g., maintaining genetic diversity by using local breeds and possible G×E interactions which might occur when breeds adapted to conventional farming systems are used in organic farming. Ways of modelling G×E are presented, moreover examples of G×E in dairy cattle, swine, and poultry are given. Trends in selection index theory–designing multi-trait breeding goals including functional traits on one hand, and developing methods for using customised selection indices on the other hand–support breeding work for organic farming systems. It is concluded that before the technical issues can be addressed, all parties involved, farmers, consumers as well as legislators, have to agree on the socio-cultural conditions under which organic farming should be conducted

Optimizing the Post Sandvik Nanoflex material model using inverse optimization and the finite element method

This article describes an inverse optimization method for the Sandvik Nanoflex steel in cold forming\ud processes. The optimization revolves around measured samples and calculations using the Finite Element\ud Method. Sandvik Nanoflex is part of the group of meta-stable stainless steels. These materials are characterized\ud by a good corrosion resistance, high strength, good formability and crack resistance. In addition, Sandvik\ud Nanoflex has a strain-induced transformation and, depending on austenising conditions and chemical composition,\ud a stress-assisted transformation can occur. The martensite phase of this material shows a substantial aging\ud response. The inverse optimization is a sub-category of the optimization techniques. The inverse optimization\ud method uses a top down approach, as the name implies. The starting point is a prototype state where the current\ud state is to converge on. In our experiment the test specimen is used as prototype and a calculation result as\ud current state. The calculation is then adapted so that the result converges towards the test example. An iterative\ud numerical optimization algorithm controls the adaptation. For the inverse optimization method two parameters\ud are defined: shape of the product and martensite profile. These parameters are extracted from both calculation\ud and test specimen, using Fourier analysis and integrals. An optimization parameter is then formulated from\ud the extracted parameters. The method uses this optimization parameter to increase the accuracy of ”The Post”\ud material model for Sandvik Nanoflex. [1] The article will describe a method to optimize material models, using\ud a combination practical experiments, Finite Element Method and parameter extraction

Mechanism of Exfoliation and Prediction of Materials Properties of Clay-Polymer Nanocomposites from Multiscale Modeling

We describe the mechanism that leads to full exfoliation and dispersion of organophilic clays when mixed with molten hydrophilic polymers. This process is of fundamental importance for the production of clay-polymer nanocomposites with enhanced materials properties. The chemically specific nature of our multiscale approach allows us to probe how chemistry, in combination with processing conditions, produces such materials properties at the mesoscale and beyond. In general agreement with experimental observations, we find that a higher grafting density of charged quaternary ammonium surfactant ions promotes exfoliation, by a mechanism whereby the clay sheets slide transversally over one another. We can determine the elastic properties of these nanocomposites; exfoliated and partially exfoliated morphologies lead to substantial enhancement of the Young's modulus, as found experimentally

Survey of multiscale and multiphysics applications and communities

Multiscale and multiphysics applications are now commonplace, and many researchers focus on combining existing models to construct new multiscale models. This concise review of multiscale applications and their source communities in the EU and US outlines differences and commonalities among approaches and identifies areas in which collaboration between disciplines could be particularly beneficial. Because different communities adopt very different approaches to constructing multiscale simulations, and simulations on a length scale of a few meters and a time scale of a few hours can be found in many multiscale research domains, communities might receive additional benefit from sharing methods that are geared towards these scales. The Web extra is the full literature list mentioned in the article.This work has received funding from the MAPPER EC-FP7 project (grant no. RI-261507)