Low-cost autonomous 3-D monitoring systems for hydraulic engineering environments and applications with limited accuracy requirements

The details of developing autonomous 3-D motion monitoring systems based on commercial off-the-shelf (COTS) motion sensors for hydraulic environments are discussed. Possible areas of application, are river bed sediment transport monitoring and monitoring the agitation and other physical parameters inside milk vats with a mechanized agitator. Simplified calculations of inertial navigation systems (INSs) such as Euler angle method, MATLAB programs for further processing, power management systems for autonomous operation including the possibility of inductive power transfer (IPT) and use of microelectromechanical systems (MEMS) technology are discussed. Experimental results for proof of concept systems are highlighted

Matlab application for fitting progress curves to the Equilibrium Model

The general procedures for carrying out the necessary rate determinations required for accurate determination of the Equilibrium Model parameters, and fitting this data to the mathematical model to generate the parameters, are described in "Peterson, M.E., Daniel, R.M., Danson, M.J. & Eisenthal, R. (2007) The dependence of enzyme activity on temperature: determination and validation of parameters. Biochemical Journal, 402, 331-337". It should be borne in mind that the Equilibrium Model equation contains exponentials of exponentials – quite small deviations from ideal behaviour, or a failure to obtain true Vmax values, may lead to difficulty in obtaining reliable Equilibrium Model parameters

The Future of Marketing – An Investigation into Disruption and Innovation

The future of marketing, looking out as far as 2050, is envisioned in this thesis. According to a world-renowned futurist, one theory is the end of marketing as we know it. Another describes the discipline as entirely controlled by artificial intelligence, without the need for direct human interaction, while others foresee a healthy balance between humans and machines. The future of employment will therefore have a significant impact on marketing practice, as automation and machine learning may sharply reduce the need for ‘human marketers’. Despite existing research into the future, the future of marketing is largely overlooked by researchers. Exponential technological advancements are on the horizon, giving rise to the concept of the Singularity. The future is complex, perhaps chaotic, and futures studies are increasingly used in academia, business, and government as a means of coping with uncertainty. Marketing is the practice of identifying the needs of consumers, creating and communicating value, engaging with the right audience, and ultimately, increasing sales and profitability. While these goals are likely to endure, the means at which these are achieved are constantly evolving. This is of interest to those in business, especially due to the marketing potential of current innovations, for example Big Data, machine learning, augmented reality, blockchain, Internet of Things (IoT), robotics, and more. This thesis asks, to what extent will these concepts impact the future of marketing? Further, how will the discipline evolve over the next thirty years, and what are the implications for marketing professionals today? This discovery-oriented thesis utilises qualitative research methods, including personal interviews and comparative analysis, in a grounded theory approach. These proved applicable as new in-depth information was gained beyond what is known to the researcher, and the discussions were broad – but bounded – using moderately scheduled interviews. Twelve business leaders and senior practitioners from different industries were interviewed, and three future scenarios were developed. The results were then compared with recent papers and articles produced by research organisations, think tanks, and well-known online publications. Three future scenarios are presented in this thesis: Possible, Probable, and Preferable. The Possible scenario embraces exponential innovation and the concept of the Singularity, i.e. a state at which artificial intelligence drives innovation. Our lives will be comprehensively tracked, and sophisticated prediction engines will map out our experiences to come. Employment in this scenario is a particularly contentious issue – while new job types will naturally arise in the coming years, they are unlikely to balance job losses. Shifting to a post-work society may be a factor, driven by the need to develop solutions that avoid an economic catastrophe. In the Probable scenario, current issues were given more weight, in the sense that inefficiencies and bureaucracy hinder the trajectory of innovation, thus delaying progress. In the Preferable scenario, the need for long-term planning was emphasised, especially with regards to larger societal and environmental issues. In this case, automation has less of an impact; it is carefully managed and supplements human work. The future of marketing can be described as intensely personal. Marketing systems will have access to consumers’ demographic information, behaviour, affinities, and physical location at any given time. Machine learning will optimise targeting and delivery, and smart devices link our physical selves to our digital entities, providing marketers with invaluable data. This study will argue that marketing is therefore one of the most valuable applications of artificial intelligence, and that the pace of change largely depends on the factors discussed in each of the scenarios and in the discussion chapters

Experiences of Voluntourism in Guangzhou, Mainland China

Volunteer tourism is a relatively new field that usually involves a young person volunteering in a foreign country to improve the social conditions of a local community. In the past decade, there has been an academic focus on this topic that suggests there are potential benefits for the participants involved. However, critical analyses from a post-development perspective have recently highlighted the number of risks involved with these projects. The findings from these studies also emphasis the underlying goals of voluntourism, which can include creating a connection and understanding between the people involved in these projects, in addition to the projects being viewed as significant by the participants. This thesis will test if the experiences of voluntourists in a selected voluntourism project in Guangzhou, Mainland China relate to this goal. The results revealed that the project was considered significant by the participants involved as a result of recognising the importance of place to all participants, the identity of the foreign volunteer and how they relate to place and the members of that place. The recommendations from the academic literature can also lead to a long term connection and greater understanding between the people involved, by making comparisons with the process of integration. Through these findings, it can argued the experiences from the voluntourism project in Mainland China relates to the underlying goals of voluntourism, and a new body of knowledge is emerging in this field, which emphasises ways to improve the implementation of these projects

Incresing the system peak capacity of LC-MS/MS work flows for qualitative and quantitative protein profiling by incorporating ion mobility separations

Comunicaciones a congreso

Spectrally tunable magnetic nanoparticles designed for distribution/recollection applications

The comprehensive goal of this research is the synthesis and characterization of nanomaterials that are spectrally tunable in terms of their electromagnetic signal, are robust, magnetic (allowing their piloted movement), and have the potential to be functionalized for the detection of CBRNE threats. Various chemical methods were utilized for synthesis of magnetic (iron) and luminescent rare earth (RE) components, and their mixtures. Effects of integrating an iron core into RE luminescent lattices (excited by UV, emit in the VIS) were investigated. The determination of the optimum balances between magnetic and luminescent components such that the magnetism was maximized while maintaining acceptable fluorescence integrity will be discussed. The emphasis of this work is focused on developing a distributed sensor suitable for use in the terrestrial environment. The robust properties of using a RE luminescent shell would allow the particles to be resistant to photobleaching. Additionally the chemical stability of the RE shell would allow operation in a variety of pH conditions. The magnetic core will ultimately allow the distributed particles to be recollected

Climate change decouples marine and freshwater habitats of a threatened migratory fish

Aim To assess how climate change may decouple the ecosystems used by a migratory fish, and how decoupling influences priorities for stream restoration. Location Australia. Methods We modelled changes in habitat suitability under climate change in both riverine and marine habitats for a threatened diadromous species, the Australian Grayling Prototroctes maraena, using niche models. The loss of riverine habitats for Grayling was compared with or without considering the impact of climate change on adjacent marine habitats. We also asked whether considering marine climate change changed the locations where removing dams had the greatest benefit for Grayling conservation. Results Climate change is expected to cause local extinction in both marine and river habitats regardless of whether dams are retained or removed at the trailing edge of the Grayling's range (north‐eastern). Decoupling of habitats was most apparent in the eastern and south‐eastern portion of the Grayling's range, where ocean warming may cause a decline in the suitability of marine habitats for larvae, while many freshwater habitats retained suitable habitat for adults. Removing dams to restore connectivity between ocean and freshwater habitats was predicted to have the greatest benefit for Grayling in southern portions of their range. Under climate change, the priorities for barrier removal gradually shift towards dams at higher elevation because of increasing suitability of freshwater habitats at higher elevations. Main conclusions Our study highlights the importance of assessing climate range shifts in multiple ecosystems for migratory species and can help inform priorities for stream restoration under a changing climate

Bioinformatics Training Network (BTN): a community resource for bioinformatics trainers

Funding bodies are increasingly recognizing the need to provide graduates and researchers with access to short intensive courses in a variety of disciplines, in order both to improve the general skills base and to provide solid foundations on which researchers may build their careers. In response to the development of ‘high-throughput biology’, the need for training in the field of bioinformatics, in particular, is seeing a resurgence: it has been defined as a key priority by many Institutions and research programmes and is now an important component of many grant proposals. Nevertheless, when it comes to planning and preparing to meet such training needs, tension arises between the reward structures that predominate in the scientific community which compel individuals to publish or perish, and the time that must be devoted to the design, delivery and maintenance of high-quality training materials. Conversely, there is much relevant teaching material and training expertise available worldwide that, were it properly organized, could be exploited by anyone who needs to provide training or needs to set up a new course. To do this, however, the materials would have to be centralized in a database and clearly tagged in relation to target audiences, learning objectives, etc. Ideally, they would also be peer reviewed, and easily and efficiently accessible for downloading. Here, we present the Bioinformatics Training Network (BTN), a new enterprise that has been initiated to address these needs and review it, respectively, to similar initiatives and collections

Potential surprise theory as a theoretical foundation for scenario planning

Despite some recent progress, scenario planning’s development as an academic discipline remains constrained by the perception it is solely a practical tool for thinking about the future, with limited theoretical foundations. The paper addresses this issue by showing that G. L. S. Shackle’s ‘Potential Surprise Theory’ (PST) contains much that can lend theoretical support to scenario planning - especially its use of plausibility rather than probability, and its focus on potential extreme outcomes. Moreover, PST and scenario planning share the same ontology, viewing the future as constructed by the imagination of individuals. Yet, under PST, while the future is imagined and, therefore, subjective, individuals nevertheless seek to identify the ‘best’ option through a deductive process of elimination. PST therefore assists in overcoming the divide between the constructivist and deductivist perspectives in scenario planning as it employs both. Finally, the paper shows that theoretically underpinning scenario planning with PST would place it at the heart of contemporary debates on decision making under uncertainty taking place in economics and other fields, enhancing its status and profile as a discipline

The Great American Crime Decline : Possible Explanations

This chapter examines the most important features of the crime decline in the United States during the 1990s-2010s but also takes a broader look at the violence declines of the last three centuries. The author argues that violent and property crime trends might have diverged in the 1990s, with property crimes increasingly happening in the online sphere and thus traditional property crime statistics not being reflective of the full picture. An important distinction is made between ‘contact crimes’ and crimes that do not require a victim and offender to be present in the same physical space. Contrary to the uncertainties engendered by property crime, the declines in violent (‘contact’) crime are rather general, and have been happening not only across all demographic and geographic categories within the United States but also throughout the developed world. An analysis of research literature on crime trends has identified twenty-four different explanations for the crime drop. Each one of them is briefly outlined and examined in terms of conceptual clarity and empirical support. Nine crime decline explanations are highlighted as the most promising ones. The majority of these promising explanations, being relative newcomers in the crime trends literature, have not been subjected to sufficient empirical scrutiny yet, and thus require further research. One potentially fruitful avenue for future studies is to examine the association of the most promising crime decline explanations with improvements in self-control