Report. Robert Boyle for the twenty-first century

In recent years, major steps have been taken in terms of understanding and exploiting the vast archive of Robert Boyle (1627-91), which was presented to The Royal Society in 1769. The collection was first catalogued in the 1980s; since then, it has been extensively used in preparing the definitive editions of Boyle's Works (14 vols, 1999-2000) and Correspondence (6 vols, 2001), both published by Pickering & Chatto, and the edition of his 'workdiaries', which has been available online since 2001. Now, thanks to a generous grant from the Heritage Lottery Fund, various steps have been taken to enhance access to the archive--particularly by electronic means, and especially through the provision of high-quality digitized images of its key components--and thus to increase understanding of Boyle and his significance for the origins of modern science. The project, entitled 'Robert Boyle for the twenty-first century', is a joint initiative between Birkbeck (University of London), The Royal Society and Access to Archives. It has three main components: first, the revision of the catalogue of the Boyle archive and its presentation in online, searchable form; second, the creation of digitized images of the entire content of the core volumes of the Boyle Papers and the publication of these on the World Wide Web, some as illustrations to an updated edition of the workdiaries; and third, the provision of introductory material on Boyle aimed at schools on the Boyle website at Birkbeck

Robert Boyle and the early Royal Society: a reciprocal exchange in the making of Baconian science

This paper documents an important development in Robert Boyle's natural-philosophical method – his use from the 1660s onwards of ‘heads’ and ‘inquiries’ as a means of organizing his data, setting himself an agenda when studying a subject and soliciting information from others. Boyle acknowledged that he derived this approach from Francis Bacon, but he had not previously used it in his work, and the reason why it came to the fore when it did is not apparent from his printed and manuscript corpus. It is necessary to look beyond Boyle to his milieu for the cause, in this case to the influence on him of the Royal Society. Whereas the Royal Society in its early years is often seen as putting into practice a programme pioneered by Boyle, this crucial methodological change on his part seems rather to have been stimulated by the society's early concern for systematic data-collecting. In this connection, it is here shown that a key text, Boyle's influential ‘General Heads for a Natural History of a Country, Great or small’, published in Philosophical Transactions in 1666, represents more of a shared initiative between him and the society than has hitherto been appreciated

Using the Gene Ontology to Annotate Biomedical Journal Articles

We are creating a gold-standard corpus of manually annotated full-text biomedical journal articles toward natural-language-processing applications. Central to this is our use of entire ontologies of the Open Biomedical Ontologies initiative as well as other terminologies as term sources, in contrast to most other such annotation projects, which have used small, ad hoc schemas. In addition to the standard difficulties in such annotation projects, each of the terminologies we have used has idiosyncrasies and ambiguities that present further challenges to consistent, high-quality annotation of these articles. In this paper we present and discuss the most salient of these with regard to the Gene Ontology that we have encountered and addressed in our annotation guidelines and training. The utility of these guidelines can be seen in the high and still-increasing interannotator-agreement statistics that we continually monitor.
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Robert Boyle's 'Memoirs for the natural history of human blood' (1684): print, manuscript and the impact of Baconianism in seventeenth-century medical science

Robert Boyle's 'Memoirs for the natural history of human blood', which appeared in its first and only edition in 1684, is a well-known but much misunderstood book. In this paper, we will argue that a consideration of its history before and after its publication is not only significant in itself but also does much to enhance our understanding of Boyle's intellectual method, and especially the implications of his commitment to Baconianism and his attitude to print as a medium

A Concise Account of the Kingdom of Pegu by William Hunter, edited by Michael W. Charney

This account, written by the surgeon, William Hunter, relates his experiences in Pegu in 1782-1783. The observations were made on a voyage that had been ordered by the British East India Company. The account was originally printed at Calcutta in 1785 by John Hay under the title of A Concise Account of the Kingdom of Pegu; Its Climate, Produce, Trade, and Government; The Manners and Customs of its Inhabitants. Interspersed with remarks Moral and Political. The additional appendices, one on “An Enquiry into the cause of the variety observable in the fleeces of sheep, in different climates,” and “A Description of the Caves at Elephanta, Ambola, and Canara” are unrelated to Burma and are thus not included in the text

Estimating Fire Weather Indices via Semantic Reasoning over Wireless Sensor Network Data Streams

Wildfires are frequent, devastating events in Australia that regularly cause significant loss of life and widespread property damage. Fire weather indices are a widely-adopted method for measuring fire danger and they play a significant role in issuing bushfire warnings and in anticipating demand for bushfire management resources. Existing systems that calculate fire weather indices are limited due to low spatial and temporal resolution. Localized wireless sensor networks, on the other hand, gather continuous sensor data measuring variables such as air temperature, relative humidity, rainfall and wind speed at high resolutions. However, using wireless sensor networks to estimate fire weather indices is a challenge due to data quality issues, lack of standard data formats and lack of agreement on thresholds and methods for calculating fire weather indices. Within the scope of this paper, we propose a standardized approach to calculating Fire Weather Indices (a.k.a. fire danger ratings) and overcome a number of the challenges by applying Semantic Web Technologies to the processing of data streams from a wireless sensor network deployed in the Springbrook region of South East Queensland. This paper describes the underlying ontologies, the semantic reasoning and the Semantic Fire Weather Index (SFWI) system that we have developed to enable domain experts to specify and adapt rules for calculating Fire Weather Indices. We also describe the Web-based mapping interface that we have developed, that enables users to improve their understanding of how fire weather indices vary over time within a particular region.Finally, we discuss our evaluation results that indicate that the proposed system outperforms state-of-the-art techniques in terms of accuracy, precision and query performance.Comment: 20pages, 12 figure

Matching matched filtering with deep networks in gravitational-wave astronomy

We report on the construction of a deep convolutional neural network that can reproduce the sensitivity of a matched-filtering search for binary black hole gravitational-wave signals. The standard method for the detection of well modeled transient gravitational-wave signals is matched filtering. However, the computational cost of such searches in low latency will grow dramatically as the low frequency sensitivity of gravitational-wave detectors improves. Convolutional neural networks provide a highly computationally efficient method for signal identification in which the majority of calculations are performed prior to data taking during a training process. We use only whitened time series of measured gravitational-wave strain as an input, and we train and test on simulated binary black hole signals in synthetic Gaussian noise representative of Advanced LIGO sensitivity. We show that our network can classify signal from noise with a performance that emulates that of match filtering applied to the same datasets when considering the sensitivity defined by Reciever-Operator characteristics.Comment: 5 pages, 3 figures, submitted to PR