Scientific standards for human intervention trials evaluating health benefits of foods, and their application to infants, children and adolescents

Associations between the consumption of particular foods and health outcomes may be indicated by observational studies. However, intervention trials that evaluate the health benefits of foods provide the strongest evidence to support dietary recommendations for health. Thus, it is important that these trials are carried out safely, and to high scientific standards. Accepted standards for the reporting of the health benefits of pharmaceutical and other medical interventions have been provided by the Consolidated Standards of Reporting Trials (CONSORT) statement. However, there are no generally accepted standards for trials to evaluate the health benefits of foods. Trials with foods differ from medical trials in issues related to safety, ethics, research governance and practical implementation. Furthermore, these important issues can deter the conduct of both medical and nutrition trials in infants, children and adolescents. This paper provides standards for the planning, design, conduct, statistical analysis and interpretation of human intervention trials to evaluate the health benefits of foods that are based on the CONSORT guidelines, and outlines the key issues that need to be addressed in trials in participants in the paediatric age range.

Should scientific realists be platonists?

Enhanced Indispensability Arguments (EIA) claim that Scientific Realists are committed to the existence of mathematical entities due to their reliance on Inference to the Best Explana- tion (IBE). Our central question concerns this purported parity of reasoning: do people who defend the EIA make an appropriate use of the resources of Scientific Realism (in particular, IBE) to achieve platonism? (§2) We argue that just because a variety of different inferential strategies can be employed by Scientific Realists does not mean that ontological conclusions concerning which things we should be Scientific Realists about are arrived at by any inferen- tial route which eschews causes (§3), and nor is there any direct pressure for Scientific Real- ists to change their inferential methods (§4). We suggest that in order to maintain inferential parity with Scientific Realism, proponents of EIA need to give details about how and in what way the presence of mathematical entities directly contribute to explanations (§5).

The Science of a Lost Medieval Graveyard: The Ballyhanna Research Project

he Science of Lost Medieval Gaelic Graveyard tells the story of the discovery in 2003 of a graveyard and the foundations of a small forgotten stone church at Ballyhanna, in Ballyshannon, Co. Donegal, as part of the N15 Bundoran–Ballyshannon Bypass archaeological works. This led to the excavation of one of the largest collections of medieval burials ever undertaken on this island. Over 1,200 individuals were excavated from the site at Ballyhanna during the winter of 2003–4, representing 1,000 years of burial through the entire Irish medieval period. The discovery led to the establishment of a cross-border research collaboration—the Ballyhanna Research Project—between Queen’s University Belfast and the Institute of Technology, Sligo, which has brought to life this lost Gaelic graveyard.

This book shows how cutting-edge scientific research may aid our understanding and interpretation of archaeology and reveal new insights into past societies. For example, the use of ancient DNA analysis represented the first biomolecular archaeological evaluation of a medieval population to date and provided evidence that cystic fibrosis was much less prevalent in the medieval period than today. The Science of Lost Medieval Gaelic Graveyard is about a community who lived in Gaelic Ireland, about their lifestyles, health and diet. It tells us of their deaths and of their burial traditions, and through examining all of these aspects, it reveals the ebb and flow of their lives.

The book is accompanied by a CD-ROM which includes supplementary information from the Ballyhanna Research Project and the original excavation and survey reports for all of the archaeological sites on the N15 Bundoran–Ballyshannon Bypass.

An Evaluation of 1D Loss Model Collections for the Off-Design Performance Prediction of an Automotive Turbocharger Compressor

Abstract. Single-zone modelling is used to assess different collections of impeller 1D loss models. Three collections of loss models have been identified in literature, and the background to each of these collections is discussed. Each collection is evaluated using three modern automotive turbocharger style centrifugal compressors; comparisons of performance for each of the collections are made. An empirical data set taken from standard hot gas stand tests for each turbocharger is used as a baseline for comparison. Compressor range is predicted in this study; impeller diffusion ratio is shown to be a useful method of predicting compressor surge in 1D, and choke is predicted using basic compressible flow theory. The compressor designer can use this as a guide to identify the most compatible collection of losses for turbocharger compressor design applications. The analysis indicates the most appropriate collection for the design of automotive turbocharger centrifugal compressors.

Mining Money: the generative capacities of scientific and legal knowledge practices in the making of resource economies

In 1997 a scandal associated with Bre-X, a junior mining firm, and its prospecting activities in Indonesia, exposed to public scrutiny the ways in which mineral exploration firms acquire, assess and report on scientific claims about the natural environment. At stake here was not just how investors understood the provisional nature of scientific knowledge, but also evidence of fraud. Contemporaneous mining scandals not only included the salting of cores, but also unreliable proprietary sample preparation and assay methods, mis-representations of visual field estimates as drilling results and ‘overly optimistic’ geological reports. This paper reports on initiatives taken in the wake of these scandals and prompted by the Mining Standards Task Force (TSE/OSC 1999). For regulators, mandated to increase investor confidence in Canada’s leading role within the global mining industry, efforts focused first and foremost upon identifying and removing sources of error and wilfulness within the production and circulation of scientific knowledge claims. A common goal cross-cutting these initiatives was ‘a faithful representation of nature’ (Daston and Galison 2010), however, as the paper argues, this was manifest in an assemblage of practices governed by distinct and rival regulative visions of science and the making of markets in claims about ‘nature’. These ‘practices of fidelity’, it is argued, can be consequential in shaping the spatial and temporal dynamics of the marketization of nature.

Mining biomedical information from scientific literature

The rapid evolution and proliferation of a world-wide computerized network, the Internet, resulted in an overwhelming and constantly growing amount of publicly available data and information, a fact that was also verified in biomedicine. However, the lack of structure of textual data inhibits its direct processing by computational solutions. Information extraction is the task of text mining that intends to automatically collect information from unstructured text data sources. The goal of the work described in this thesis was to build innovative solutions for biomedical information extraction from scientific literature, through the development of simple software artifacts for developers and biocurators, delivering more accurate, usable and faster results. We started by tackling named entity recognition - a crucial initial task - with the development of Gimli, a machine-learning-based solution that follows an incremental approach to optimize extracted linguistic characteristics for each concept type. Afterwards, Totum was built to harmonize concept names provided by heterogeneous systems, delivering a robust solution with improved performance results. Such approach takes advantage of heterogenous corpora to deliver cross-corpus harmonization that is not constrained to specific characteristics. Since previous solutions do not provide links to knowledge bases, Neji was built to streamline the development of complex and custom solutions for biomedical concept name recognition and normalization. This was achieved through a modular and flexible framework focused on speed and performance, integrating a large amount of processing modules optimized for the biomedical domain. To offer on-demand heterogenous biomedical concept identification, we developed BeCAS, a web application, service and widget. We also tackled relation mining by developing TrigNER, a machine-learning-based solution for biomedical event trigger recognition, which applies an automatic algorithm to obtain the best linguistic features and model parameters for each event type. Finally, in order to assist biocurators, Egas was developed to support rapid, interactive and real-time collaborative curation of biomedical documents, through manual and automatic in-line annotation of concepts and relations. Overall, the research work presented in this thesis contributed to a more accurate update of current biomedical knowledge bases, towards improved hypothesis generation and knowledge discovery.