Public scientific communication on Twitter:visual analytic approach

Purpose - The purpose of this paper is to assess high-dimensional visualisation, combined with pattern matching, as an approach to observing dynamic changes in the ways people tweet about science topics. Design/methodology/approach - The high-dimensional visualisation approach was applied to three scientific topics to test its effectiveness for longitudinal analysis of message framing on Twitter over two disjoint periods in time. The paper uses coding frames to drive categorisation and visual analytics of tweets discussing the science topics. Findings - The findings point to the potential of this mixed methods approach, as it allows sufficiently high sensitivity to recognise and support the analysis of non-trending as well as trending topics on Twitter. Research limitations/implications - Three topics are studied and these illustrate a range of frames, but results may not be representative of all scientific topics. Social implications - Funding bodies increasingly encourage scientists to participate in public engagement. As social media provides an avenue actively utilised for public communication, understanding the nature of the dialog on this medium is important for the scientific community and the public at large. Originality/value - This study differs from standard approaches to the analysis of microblog data, which tend to focus on machine driven analysis large-scale datasets. It provides evidence that this approach enables practical and effective analysis of the content of midsize to large collections of microposts.

The genius of Erasmus Darwin

The Genius of Erasmus Darwin provides insight into the full extent of Erasmus Darwin's exceptional intellect. He is shown to be a major creative thinker and innovator, one of the minds behind the late eighteenth-century industrial revolution, and one of the first, if not the first, to perceive the living world (including humans) as part of a unified evolutionary scenario. The contributions here provide contextual understandings of Erasmus Darwin's thought, as well as studies of particular works and accounts of the later reception of his writings. In this way it is possible to see why the young Samuel Taylor Coleridge was moved to describe Darwin as 'the first literary character in Europe, and the most original-minded man'. Erasmus Darwin, Charles Darwin's grandfather, was one of the leading intellectuals of eighteenth-century England. He was a man with an extraordinary range of interests and activities: he was a doctor, biologist, inventor, poet, linguist, and botanist. He was also a founding member of the Lunar Society, an intellectual community that included such eminent men as James Watt and Josiah Wedgwood. Contents: Introduction; Setting the scene, Jonathan Powers; Prologue 'Catching up with Erasmus Darwin in the New Century', Desmond King-Hele. Section 1: Medicine: Physicians and physic in 17th and 18th century Lichfield, Dennis Gibbs; Dr Erasmus Darwin MD FRS (1731–1802): England's greatest physician?, Gordon Cook; William Pale (1743–1805) and James Parkinson (1755–1824): two peri-Erasmatic thinkers (and several others), Christopher Gardner-Thorpe; The vertiginous philosophers: Erasmus Darwin and William Charles Wells on vertigo, Nicholas Wade. Section 2: Biology: The Antipodes and Erasmus Darwin: the place of Erasmus Darwin in the heritage of Australian literature and biology, John Pearn; Erasmus Darwin on human reproductive generation: placing heredity within historical and Zoonomian contexts, Philip Wilson; All from fibres: Erasmus Darwin's evolutionary psychobiology, C.U.M. Smith; Two special doctors: Erasmus Darwin and Luigi Galvani, Rafaella Simili. Section 3: Education: But what about the women? The lunar society's attitude to women and science and to the education of girls, Jenny Uglow; The Derbyshire 'Darwinians': the persistence of Erasmus Darwin's influence on a British provincial literary and scientific community, c.1780–1850, Paul Elliot. Section 4: Technology: Designing better steering for carriages (and cars); with a glance at other inventions, Desmond King-Hele; Mama and papa: the ancestors of modern-day speech science, Philip Jackson; Negative and positive images: Erasmus Darwin, Tom Wedgwood and the origins of photography, Alan Barnes; Section 5: Environment: Erasmus Darwin's contributions to the geological sciences, Hugh Torrens; The air man, Desmond King-Hele; Erasmus Darwin, work and health, Tim Carter; Section 6: Literature: The progress of society: Darwin's early drafts for the temple of nature, Martin Priestman; The poet as pathologist: myth and medicine in Erasmus Darwin's epic poetry, Stuart Harris; 'Another and the same': nature and human beings in Erasmus Darwin's doctrines of love and imagination, Maurizio Valsania. Epilogue: 'One great slaughter-house the warring world': living in revolutionary times, David Knight; Coda: Midlands memorabilia, Nick Redman; Appendix: The Creation of the Erasmus Darwin Foundation and Erasmus Darwin House, Tony Barnard; Index.

The role of the English language in the context of national development vision 2025 with specific reference to agriculture in Tanzania

After thirty years of vacillation, the Tanzanian government has made a firm decision to Swahilize its secondary education system. It has also embarked on an ambitious economic and social development programme (Vision 2025) to transform its peasant society into a modern agricultural community. However, there is a faction in Tanzania opposed to Kiswahili as the medium of education. Already many members of the middle and upper class their children to English medium primary schools to avoid the Kiswahili medium public schools and to prepare their children for the English medium secondary system presently in place. Within the education system, particularly at university level, there is a desire to maintain English as the medium of education. English is seen to provide access to the international scientific community, to cutting edge technology and to the global economy. My interest in this conflict of interests stems from several years' experience teaching English to students at Sokoine University of Agriculture. Students specialise in agriculture and are expected to work with the peasant population on graduation. The students experience difficulties studying in English and then find their Kiswahili skills insufficient to explain to farmers the new techniques and technologies that they have studied in English. They are hampered by a complex triglossic situation in which they use their mother tongue with family and friends, Kiswahili, the national language for early education and most public communication within Tanzania, and English for advanced studies. My aim in this thesis was - to study the language policy in Tanzania and see how it is understood and implemented; - to examine the attitudes towards the various languages and their various roles; - to investigate actual language behaviour in Tanzanian higher education. My conclusion is that the dysfunctionality of the present study has to be addressed. Diglossic public life in Tanzania has to be accommodated. The only solution appears to be a compromise, namely a bilingual education system which supports from all cases of society by using Kiswahili, together with an early introduction of English and its promotion as a privileged foreign language, so that Tanzania can continue to develop internally through Kiswahili and at the same time retain access to the globalising world through the medium of English.

Scientists, trade unions and labour movement policies for science and technology, 1947-1964

This thesis describes the history of the scientific Left beginning with the period of its most extensive influence in the mid-1940s as a movement for the planning of science and ending with the Labour Party's programme of 1964 claiming to harness science and socialism. Its central theme is the external and internal pressures involved in the project to align left-wing politics, trade unions and social responsibility in science. The problematic aspects of this project are examined in the evolution of the Association of Scientific Workers and the World Federation of Scientific Workers as organisations committed to trade union and science policy objectives. This is presented also in the broader context of the Association's attempts to influence the Trade Union Congress's policies for science and technology in a more radical direction. The thesis argues that the shift in the balance of political forces in the labour movement, in the scientific community and in the state brought about by the Cold War was crucial in frustrating these endeavours. This led to alternative, but largely unsuccessful attempts, in the form of the Engels Society and subsequently Science for Peace to create the new expressions of the left-wing politics of science. However, the period 1956-1964 was characterised by intensive interest within the Labour Party in science and technology which reopened informal channels of political influence for the scientific Left. This was not matched by any radical renewal within the Association or the Trade Union Congress and thus took place on a narrower basis and lacked the democratic aspects of the earlier generation of socialist science policy.

Research with in-built replications:comment and further suggestions for replication research

This brief commentary on the paper Designing Research with In-built Differentiated Replication expands on concerns about a lack of replication research by focusing on three key questions of continuous importance: Why should researchers conduct more replication research? Why do so few researchers conduct replication studies? What can researchers do to add more studies? This paper identifies barriers preventing replication related to the scientific system, the replication researcher, and the initial research. Suggestions include publishing all papers electronically along with reviews; authors taking steps to encourage replications of their work; and editors inviting replications of important papers. The scientific community should establish a replication index as a measure of output quality. © 2012 Elsevier Inc.

Quantifying short-term dynamics of Parkinson's disease using self-reported symptom data from an internet social network

Background: Parkinson’s disease (PD) is an incurable neurological disease with approximately 0.3% prevalence. The hallmark symptom is gradual movement deterioration. Current scientific consensus about disease progression holds that symptoms will worsen smoothly over time unless treated. Accurate information about symptom dynamics is of critical importance to patients, caregivers, and the scientific community for the design of new treatments, clinical decision making, and individual disease management. Long-term studies characterize the typical time course of the disease as an early linear progression gradually reaching a plateau in later stages. However, symptom dynamics over durations of days to weeks remains unquantified. Currently, there is a scarcity of objective clinical information about symptom dynamics at intervals shorter than 3 months stretching over several years, but Internet-based patient self-report platforms may change this. Objective: To assess the clinical value of online self-reported PD symptom data recorded by users of the health-focused Internet social research platform PatientsLikeMe (PLM), in which patients quantify their symptoms on a regular basis on a subset of the Unified Parkinson’s Disease Ratings Scale (UPDRS). By analyzing this data, we aim for a scientific window on the nature of symptom dynamics for assessment intervals shorter than 3 months over durations of several years. Methods: Online self-reported data was validated against the gold standard Parkinson’s Disease Data and Organizing Center (PD-DOC) database, containing clinical symptom data at intervals greater than 3 months. The data were compared visually using quantile-quantile plots, and numerically using the Kolmogorov-Smirnov test. By using a simple piecewise linear trend estimation algorithm, the PLM data was smoothed to separate random fluctuations from continuous symptom dynamics. Subtracting the trends from the original data revealed random fluctuations in symptom severity. The average magnitude of fluctuations versus time since diagnosis was modeled by using a gamma generalized linear model. Results: Distributions of ages at diagnosis and UPDRS in the PLM and PD-DOC databases were broadly consistent. The PLM patients were systematically younger than the PD-DOC patients and showed increased symptom severity in the PD off state. The average fluctuation in symptoms (UPDRS Parts I and II) was 2.6 points at the time of diagnosis, rising to 5.9 points 16 years after diagnosis. This fluctuation exceeds the estimated minimal and moderate clinically important differences, respectively. Not all patients conformed to the current clinical picture of gradual, smooth changes: many patients had regimes where symptom severity varied in an unpredictable manner, or underwent large rapid changes in an otherwise more stable progression. Conclusions: This information about short-term PD symptom dynamics contributes new scientific understanding about the disease progression, currently very costly to obtain without self-administered Internet-based reporting. This understanding should have implications for the optimization of clinical trials into new treatments and for the choice of treatment decision timescales.

Building up resilience of construction sector SMEs and their supply chains to extreme weather events

Wider scientific community now accept that the threat of climate change as real and thus acknowledge the importance of implementing adaptation measures in a global context. In the UK , the physical effects of climate change are likely to be directly felt in the form of extreme weather events, which are predicted to escalate in number and severity in future under the changing climatic conditions. Construction industry; which consists of supply chains running across various other industries, economies and regions, will also be affected due to these events. Thus, it is important that the construction organisations are well prepared to withstand the effects of extreme weather events not only directly affecting their organisations but also affecting their supply chains which in turn might affect the organisation concerned. Given the fact that more than 99% of construction sector businesses are SMEs, the area can benefit significantly from policy making to improve SME resilience and coping capacity. This paper presents the literature review and synthesis of a doctoral research study undertaken to address the issue of extreme weather resilience of construction sector SMEs and their supply chains. The main contribution of the paper to both academia and practitioners is a synthesis model that conceptualises the factors that enhances resilience of SMEs and their supply chains against extreme weather events. This synthesis model forms the basis of a decision making framework that will enable SMEs to both reduce their vulnerability and enhance their coping capacity against extreme weather. The value of this paper is further extended by the overall research design that is set forth as the way forward.

Spatial-spectral flexible optical networking:enabling switching solutions for a simplified and efficient SDM network platform

The traffic carried by core optical networks grows at a steady but remarkable pace of 30-40% year-over-year. Optical transmissions and networking advancements continue to satisfy the traffic requirements by delivering the content over the network infrastructure in a cost and energy efficient manner. Such core optical networks serve the information traffic demands in a dynamic way, in response to requirements for shifting of traffics demands, both temporally (day/night) and spatially (business district/residential). However as we are approaching fundamental spectral efficiency limits of singlemode fibers, the scientific community is pursuing recently the development of an innovative, all-optical network architecture introducing the spatial degree of freedom when designing/operating future transport networks. Spacedivision- multiplexing through the use of bundled single mode fibers, and/or multi-core fibers and/or few-mode fibers can offer up to 100-fold capacity increase in future optical networks. The EU INSPACE project is working on the development of a complete spatial-spectral flexible optical networking solution, offering the network ultra-high capacity, flexibility and energy efficiency required to meet the challenges of delivering exponentially growing traffic demands in the internet over the next twenty years. In this paper we will present the motivation and main research activities of the INSPACE consortium towards the realization of the overall project solution. © 2014 Copyright SPIE.

Rubric-Q:adding quality-related elements to the GEOSS clearinghouse datasets

Geospatial data have become a crucial input for the scientific community for understanding the environment and developing environmental management policies. The Global Earth Observation System of Systems (GEOSS) Clearinghouse is a catalogue and search engine that provides access to the Earth Observation metadata. However, metadata are often not easily understood by users, especially when presented in ISO XML encoding. Data quality included in the metadata is basic for users to select datasets suitable for them. This work aims to help users to understand the quality information held in metadata records and to provide the results to geospatial users in an understandable and comparable way. Thus, we have developed an enhanced tool (Rubric-Q) for visually assessing the metadata quality information and quantifying the degree of metadata population. Rubric-Q is an extension of a previous NOAA Rubric tool used as a metadata training and improvement instrument. The paper also presents a thorough assessment of the quality information by applying the Rubric-Q to all dataset metadata records available in the GEOSS Clearinghouse. The results reveal that just 8.7% of the datasets have some quality element described in the metadata, 63.4% have some lineage element documented, and merely 1.2% has some usage element described. © 2013 IEEE.

Post-registration learning trends of community pharmacists

Background: Some Australian pharmacists use continuing education to maintain knowledge and acquire new information. There has been a progression from continuing education to continuing professional development (CPD) - a mandatory requirement for pharmacists in all jurisdictions of Australia. Aim: To identify post-registration learning trends of community pharmacists in Western Australia. Method: A questionnaire was developed and administered by face-to-face interviews with community pharmacists in metropolitan Perth. Pharmacists registered for less than 12 months and pharmacists working in hospitals were excluded. Results: 103 pharmacists were approached with a response rate of 95%. Journals (41%), reference books (23%) and the Internet (18%) were the most commonly used educational resources cited by pharmacists. Keeping scientific information up-to-date (39%) and gathering practical knowledge (22%) were the leading motivators for pharmacists to participate in continuing education. Factors that hindered participation in continuing education included lack of time (34%), family commitments (21%) and business commitments (21%). 79% of pharmacists agreed with the concept of mandatory CPD. 47% of pharmacists suggested that the primary sanction for not complying with mandatory CPD should be counselling to determine reasons for non-compliance. Conclusion: Community pharmacists preferred educational resources that were easily accessible at convenient times. Most pharmacists were able to fulfil the requirements of CPD, however, further educational support and promotion would ensure the successful uptake of CPD by community pharmacists in Western Australia.

Candidate knowledge? Exploring epistemic claims in scientific writing:a corpus-driven approach

In this article I argue that the study of the linguistic aspects of epistemology has become unhelpfully focused on the corpus-based study of hedging and that a corpus-driven approach can help to improve upon this. Through focusing on a corpus of texts from one discourse community (that of genetics) and identifying frequent tri-lexical clusters containing highly frequent lexical items identified as keywords, I undertake an inductive analysis identifying patterns of epistemic significance. Several of these patterns are shown to be hedging devices and the whole corpus frequencies of the most salient of these, candidate and putative, are then compared to the whole corpus frequencies for comparable wordforms and clusters of epistemic significance. Finally I interviewed a ‘friendly geneticist’ in order to check my interpretation of some of the terms used and to get an expert interpretation of the overall findings. In summary I argue that the highly unexpected patterns of hedging found in genetics demonstrate the value of adopting a corpus-driven approach and constitute an advance in our current understanding of how to approach the relationship between language and epistemology.

Ontology forecasting in scientific literature:semantic concepts prediction based on innovation-adoption priors

The ontology engineering research community has focused for many years on supporting the creation, development and evolution of ontologies. Ontology forecasting, which aims at predicting semantic changes in an ontology, represents instead a new challenge. In this paper, we want to give a contribution to this novel endeavour by focusing on the task of forecasting semantic concepts in the research domain. Indeed, ontologies representing scientific disciplines contain only research topics that are already popular enough to be selected by human experts or automatic algorithms. They are thus unfit to support tasks which require the ability of describing and exploring the forefront of research, such as trend detection and horizon scanning. We address this issue by introducing the Semantic Innovation Forecast (SIF) model, which predicts new concepts of an ontology at time t + 1, using only data available at time t. Our approach relies on lexical innovation and adoption information extracted from historical data. We evaluated the SIF model on a very large dataset consisting of over one million scientific papers belonging to the Computer Science domain: the outcomes show that the proposed approach offers a competitive boost in mean average precision-at-ten compared to the baselines when forecasting over 5 years.