Spatially-averaged momentum fluxes and stresses in flows over mobile granular beds : a DNS-based study

Acknowledgements The authors gratefully acknowledge the Centre for Information Services and High Performance Computing (ZIH), Dresden, and the Jülich Supercomputing Centre (JSC) for providing computing time. The authors thank Markus Uhlmann and Clemens Chan-Braun for stimulating discussions on bed-load transport. Funding The present work was funded by the German Research Foundation (DFG) via the project [FR 1593/5-2] and was partly supported by the Engineering and Physical Sciences Research Council (EPSRC) UK, Grant [EP/G056404/1].Peer reviewedPublisher PD

A précis of philosophy of computing and information technology

The authors recently finished a comprehensive chapter on “Philosophy of Computing and Information Technology” for the forthcoming (fall 2009) Philosophy of Technology and Engineering Sciences (Ed.: A. Meijers), Volume IX in the Elsevier series Handbook of the Philosophy of Science (Eds.: D. Gabbay, P. Thagard and J. Woods). The purpose of the chapter is to review and discuss the main developments, concepts, topics, and contributors in the intersection between philosophy and computing, as well as provide some suggestions on how to structure the many subcategories within what is loosely referred to as philosophy of computing. In this short synopsis, we will give an outline of the kinds of issues raised in this chapter

Metasynthetic computing for solving open complex problems

Complex systems, in particular, open complex giant systems have become one of major challenges to many current disciplines such as system sciences, cognitive sciences, intelligence sciences, computer sciences, and information sciences. An appropriate methodology for dealing with them is the theory of qualitative-to-quantitative metasynthesis. From the perspective of engineering, we propose the concept of metasynthetic computing. This paper discusses the theoretical frame-work, problem-solving process and intelligence emergence of metasynthetic computing from both engineering and cognition perspectives. These efforts can help one understand complex systems and design effective problem-solving systems. © 2008 IEEE

Cyclic peptide production using a macrocyclase with enhanced substrate promiscuity and relaxed recognition determinants

This project was supported by grants from the ERC (no. 339367, MJ), BBSRC IBCatalyst (no. BB/M028526/1, MJ, WEH), BBSRC FoF (no. BB/M013669/1, MJ, WEH), IBioIC Exemplar (no. 2014-2-4, MJ, WEH), an AstraZeneca studentship (MJ, WEH, LT, KR), the Academy of Finland (no. 259505, DPF) and the SULSA leaders award (WEH). The authors like to thank the Aberdeen Proteomics Facility and the Aberdeen School of Natural and Computing Sciences MS Facility for LCMS analysis. Electronic supplementary information (ESI) available: Experimental section, Fig. S1–S60 and Tables S1–S3. See DOI: 10.1039/c7cc05913bPeer reviewedPublisher PD

Unconventional machine learning of genome-wide human cancer data

Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex aberrant molecular underpinnings of human disease from a genome-wide perspective. While the deluge of genomic information is expected to increase, a bottleneck in conventional high-performance computing is rapidly approaching. Inspired in part by recent advances in physical quantum processors, we evaluated several unconventional machine learning (ML) strategies on actual human tumor data. Here we show for the first time the efficacy of multiple annealing-based ML algorithms for classification of high-dimensional, multi-omics human cancer data from the Cancer Genome Atlas. To assess algorithm performance, we compared these classifiers to a variety of standard ML methods. Our results indicate the feasibility of using annealing-based ML to provide competitive classification of human cancer types and associated molecular subtypes and superior performance with smaller training datasets, thus providing compelling empirical evidence for the potential future application of unconventional computing architectures in the biomedical sciences

NISS WebSwap: A Web Service for Data Swapping

Data swapping is a statistical disclosure limitation practice that alters records in the data to be released by switching values of attributes across pairs of records in a fraction of the original data. Web Services are an exciting new form of distributed computing that allow users to invoke remote applications nearly transparently. National Institute of Statistical Sciences (NISS) has recently started hosting NISS Web Services as a service and example to the statistical sciences community. In this paper we describe and provide usage information for NISS WebSwap the initial NISS Web Service, which swaps one or more attributes (fields) between user-specified records in a microdata file, uploading the original data file from the user's computer and downloading the file containing the swapped records.

AC+erm Project. Transforming Information & Records Management through Research & Development? Proceedings of the 3rd Northumbria International Witness Seminar Conference

These proceedings capture the content of the third Witness Seminar hosted by Northumbria University’s School of Computing, Engineering and Information Sciences. It built on the success of our two previous witness seminars, in terms of its format and style, but was also different in some important ways. Firstly, it represented the final event of a 3-year Arts & Humanities Research Council (AHRC) funded research project – Accelerating positive change in e-records management (AC+erm); secondly, the seminars took a series of questions, rather than articles, as their starting point; and thirdly, it was much shorter, lasting only half a day. Although it was the final AC+erm project event, and therefore show cased some of the project’s outputs, the sessions and discussions were deliberately designed to revolve around the broader context of research and development in records and information management