Instrumental falling weight impact testing of polymethacrylate and high density polyethylene.

PhDA study has been made of the Instrumented Falling Weight Impact Test, investigating and analysing the effect of test parameters and specimen geometry on the characteristic results of the test. Two materials, poly(methylmethacrylate) and high density polyethylene are chosen, which exhibit typical extremes of brittle or ductile behaviour. High speed photography is used to monitor the development of deformation and progress of failure during the impact test. The major features of typical force-time curves obtained from the tests on PMMJL and HDPE are thus characterised in terms of failure development and quantified. Analyses are adopted which enable materials property data, such as modulus, E , fracture or yield stress, [Sigma][Subscript] f , [Sigma] [Subscript] y and a fracture parameter, G [Subscript] c to be obtained from the tests conducted on flat plates. A framework is proposed which would enable extraction of similar materials data from a wide range of plastics during routine testing with the falling weight test method

Data Systems Fault Coping for Real-time Big Data Analytics Required Architectural Crucibles

This paper analyzes the properties and characteristics of unknown and unexpected faults introduced into information systems while processing Big Data in real-time. The authors hypothesize that there are new faults, and requirements for fault handling and propose an analytic model and architectural framework to assess and manage the faults and mitigate the risks of correlating or integrating otherwise uncorrelated Big Data, and to ensure the source pedigree, quality, set integrity, freshness, and validity of data being consumed. We argue that new architectures, methods, and tools for handling and analyzing Big Data systems functioning in real-time must design systems that address and mitigate concerns for faults resulting from real-time streaming processes while ensuring that variables such as synchronization, redundancy, and latency are addressed. This paper concludes that with improved designs, real-time Big Data systems may continuously deliver the value and benefits of streaming Big Data

Applying Forensic Analysis Factors to Construct a Systems Dynamics Model for Failed Software Projects

Forensic analysis of failed software projects can aid in managerial understanding of the issues and challenges of delivering a successful project. The factors and their interrelationships causing software project failure are not well understood or researched with a strong forensic-analytic approach. Previous papers have not adequately explored how dynamic interaction of multiple factors can lead to critical events that ultimately portend eventual failure. This paper proposes the development of a System Dynamics (SD) model that will represent the key factors, their dynamic interactions, and the influence of exogenous events in causing software project failure. Forensic data will be used as inputs to the SD model to assist managers in understanding the factor interactions, the importance of individual factor metrics, as well as the sequence of interactions in causing possible software project failure. Outcomes from the model will include a likelihood of software project failure, possible factor sequences leading to failure, and suggestions of remediation activities that might mitigate eventual failure

Big Data and Analytics: Issues and Challenges for the Past and Next Ten Years

In this paper we continue the minitrack series of papers recognizing issues and challenges identified in the field of Big Data and Analytics, from the past and going forward. As this field has evolved, it has begun to encompass other analytical regimes, notably AI/ML systems. In this paper we focus on two areas: continuing main issues for which some progress has been made and new and emerging issues which we believe form the basis for near-term and future research in Big Data and Analytics. The Bottom Line: Big Data and Analytics is healthy, is growing in scope and evolving in capability, and is finding applicability in more problem domains than ever before

Big Data Redux: New Issues and Challenges Moving Forward

As of the time of this writing, our HICSS-46 proceedings article has enjoyed over 520 Google Scholar citations. We have published several HICSS proceedings, articles and a book on this subject, but none of them have generated this level of interest. In an effort to update our findings six years later, and to understand what is driving this interest, we have downloaded the first 500 citations to our article and the corresponding citing article, when available. We conducted an in-depth literature review of the articles published in top journals and leading conference proceedings, along with articles with a high volume of citations. This paper provides a brief summary of the key concepts in our original paper and reports on the key aspects of interest we found in our review, and also updates our original paper with new directions for future practice and research in big data and analytics

Urinary bisphenol A concentration and risk of future coronary artery disease in apparently healthy men and women

addresses: Epidemiology and Public Health Group, Peninsula College of Medicine and Dentistry, Barrack Road, Exeter, United Kingdom. [email protected]: Comparative Study; Journal Article; Research Support, Non-U.S. Gov'tThe endocrine-disrupting chemical bisphenol A (BPA) is widely used in food and beverage packaging. Higher urinary BPA concentrations were cross-sectionally associated with heart disease in National Health and Nutrition Examination Survey (NHANES) 2003-2004 and NHANES 2005-2006, independent of traditional risk factors.Medical Research Council UKCancer Research UKBritish Heart FoundationPeninsula Medical School, University of ExeterEuropean Regional Development FundEuropean Social Fund Convergence Programme for Cornwall and the Isles of ScillyNational Institute for Health Research Collaborations for Leadership in Applied Health Research and Car