An evaluation on the effectiveness of Web 2.0 Startpages (Netvibes & Pageflakes) within NHS libraries.

Carol McCormick was Learning Resources Advisor in the library at James Cook University Hospital, South Teesside when she completed her BSc (Hons) Librarianship (Work Based Learning) degree at Northumbria University. She gained a 1st Class Honours and is now Learning Resources Librarian. Carol’s dissertation formed part of a wider action research project into the provision of current awareness services at James Cook University Hospital. This article reports on the evaluation which was conducted after a Web 2.0 Startpage, or portal, had been introduced to improve access to current awareness information for all staff within the Trust. It is the second article in the Dissertations into practice series to examine the use of web-based tools to improve access to information for NHS staff

Distance Learning—Predictions and Possibilities

Education systems, educational institutions and educational professions, including those of distance learning, can often be inward-looking, backward-looking and self-referential, meaning that they are often fixated on their own concerns, values and processes. In many respects, this is necessary and valuable but the topic of challenges and future trends in distance learning is an opportunity to explore the place of distance learning in a wider world where cultures and ideologies clash, where education and employment are no longer stable and secure, where universities and colleges are under unprecedented pressures, where the technologies and trends of educational technology represent a crowded and chaotic space and where a critical examination of distance learning is necessary to underpin its methods and its mission. This paper addresses in essence three questions, firstly, is the distance learning community clear about the definition and purpose of its work, secondly, what are global political, economic and technological pressures on the institutions of higher education delivering distance learning, and thirdly, what do typical innovations and trends in educational technology signify for distance learning? These are linked questions and the answers constitute challenging predictions and possibilities. The nature of these questions means there are no simple answers only a more complete understanding of a fluid, partial and complex environment within which education, including distance learning, cannot operate in ignorance or isolation

Effects of an isoenergetic low Glycaemic Index (GI) diet on liver fat accumulation and gut microbiota composition in patients with non-alcoholic fatty liver disease (NAFLD): A study protocol of an efficacy mechanism evaluation

Introduction A Low Glycaemic Index (LGI) diet is a proposed lifestyle intervention in non-alcoholic fatty liver diseases (NAFLD) which is designed to reduce circulating blood glucose levels, hepatic glucose influx, insulin resistance and de novo lipogenesis. A significant reduction in liver fat content through following a 1-week LGI diet has been reported in healthy volunteers. Changes in dietary fat and carbohydrates have also been shown to alter gut microbiota composition and lead to hepatic steatosis through the gut-liver axis. There are no available trials examining the effects of an LGI diet on liver fat accumulation in patients with NAFLD; nor has the impact of consuming an LGI diet on gut microbiota composition been studied in this population. The aim of this trial is to investigate the effects of LGI diet consumption on liver fat content and its effects on gut microbiota composition in participants with NAFLD compared with a High Glycaemic Index (HGI) control diet. Methods and analysis A 2×2 cross-over randomised mechanistic dietary trial will allocate 16 participants with NAFLD to a 2-week either HGI or LGI diet followed by a 4-week wash-out period and then the LGI or HGI diet, alternative to that followed in the first 2 weeks. Baseline and postintervention (four visits) outcome measures will be collected to assess liver fat content (using MRI/S and controlled attenuation parameter-FibroScan), gut microbiota composition (using 16S RNA analysis) and blood biomarkers including glycaemic, insulinaemic, liver, lipid and haematological profiles, gut hormones levels and short-chain fatty acids. Ethics and dissemination Study protocol has been approved by the ethics committees of The University of Nottingham and East Midlands Nottingham-2 Research Ethics Committee (REC reference 19/EM/0291). Data from this trial will be used as part of a Philosophy Doctorate thesis. Publications will be in peer-reviewed journals. Trial registration number NCT04415632

"Potentialities or Possibilities": Towards Quantum Information Science?

The use of quantum concepts and formalisms in the information sciences is assessed through an analysis of published literature. Five categories are identified: use of loose analogies and metaphors between concepts in quantum physics and library/information science; use of quantum concepts and formalisms in information retrieval; use of quantum concepts and formalisms in studying meaning and concepts; quantum social science, in areas adjacent to information science; and the qualitative application of quantum concepts in the information disciplines. Quantum issues have led to demonstrable progress in information retrieval and semantic modelling, with less clear-cut progress elsewhere. Whether there may be a future “quantum turn” in the information sciences is debated, the implications of such a turn are considered, and a research agenda outlined

The Information Seeking Behaviour of Distance Learners: A Case Study of the University of London International Programmes

An examination of the information behaviour of distance learning students is described, based on a case study of the International Programmes of the University of London. A comprehensive literature analysis, and comparison of relevant information behaviour models were carried out, supported by a survey of student behaviour. Following a pilot study, the main survey gained responses from 649 students, in 81 countries and following diverse study programmes. A variety of inter-related factors were found to influence information behaviour, level and subject of study being most significant. Ease and speed of access, and familiarity of sources were predominant factors. An extension of Wilson's information behaviour model is proposed to cater for the specific features of the distance learning context

The Vulnverability Cube: A Multi-Dimensional Framework for Assessing Relative Vulnerability

The diversity and abundance of information available for vulnerability assessments can present a challenge to decision-makers. Here we propose a framework to aggregate and present socioeconomic and environmental data in a visual vulnerability assessment that will help prioritize management options for communities vulnerable to environmental change. Socioeconomic and environmental data are aggregated into distinct categorical indices across three dimensions and arranged in a cube, so that individual communities can be plotted in a three-dimensional space to assess the type and relative magnitude of the communities’ vulnerabilities based on their position in the cube. We present an example assessment using a subset of the USEPA National Estuary Program (NEP) estuaries: coastal communities vulnerable to the effects of environmental change on ecosystem health and water quality. Using three categorical indices created from a pool of publicly available data (socioeconomic index, land use index, estuary condition index), the estuaries were ranked based on their normalized averaged scores and then plotted along the three axes to form a vulnerability cube. The position of each community within the three-dimensional space communicates both the types of vulnerability endemic to each estuary and allows for the clustering of estuaries with like-vulnerabilities to be classified into typologies. The typologies highlight specific vulnerability descriptions that may be helpful in creating specific management strategies. The data used to create the categorical indices are flexible depending on the goals of the decision makers, as different data should be chosen based on availability or importance to the system. Therefore, the analysis can be tailored to specific types of communities, allowing a data rich process to inform decision-making

The Impact of Context on Affective Norms: A Case of Study With Suspense

The emotional response to a stimulus is typically measured in three variables called valence, arousal and dominance. Based on such dimensions, Bradley and Lang (1999) published the Affective Norms for English Words (ANEW), a corpus of affective ratings for 1,034 non-contextualized words. Expanded and adapted to many languages, ANEW provides a corpus to evaluate and to predict human responses to different stimuli, and it has been used in a number of studies involving analysis of emotions. However, ANEW seems not to appropriately predict affective responses to concepts when these are contextualized in certain situational backgrounds, in which words can have different connotations from those in non-contextualized scenarios. These contextualized affective norms have not been sufficiently contrasted yet because the literature does not provide a corpus of the ANEW list in specific contexts. On this basis, this paper reports on the creation of a new corpus of affective norms for the original 1,034 ANEW words in a particular context (a fictional scene of suspense). An extensive quantitative data analysis comparing both corpora was carried out, confirming that the affective ratings are highly influenced by the context

The Acid Test of Fluoride: How pH Modulates Toxicity

Background: It is not known why the ameloblasts responsible for dental enamel formation are uniquely sensitive to fluoride ($F^−$). Herein, we present a novel theory with supporting data to show that the low pH environment of maturating stage ameloblasts enhances their sensitivity to a given dose of $F^−$. Enamel formation is initiated in a neutral pH environment (secretory stage); however, the pH can fall to below 6.0 as most of the mineral precipitates (maturation stage). Low pH can facilitate entry of $F^−$ into cells. Here, we asked if $F^−$ was more toxic at low pH, as measured by increased cell stress and decreased cell function. Methodology/Principal Findings: Treatment of ameloblast-derived LS8 cells with $F^−$ at low pH reduced the threshold dose of $F^−$ required to phosphorylate stress-related proteins, PERK, eIF2α, JNK and c-jun. To assess protein secretion, LS8 cells were stably transduced with a secreted reporter, Gaussia luciferase, and secretion was quantified as a function of $F^−$ dose and pH. Luciferase secretion significantly decreased within 2 hr of $F^−$ treatment at low pH versus neutral pH, indicating increased functional toxicity. Rats given 100 ppm $F^−$ in their drinking water exhibited increased stress-mediated phosphorylation of eIF2α in maturation stage ameloblasts (pH<6.0) as compared to secretory stage ameloblasts (pH∼7.2). Intriguingly, $F^−$-treated rats demonstrated a striking decrease in transcripts expressed during the maturation stage of enamel development (Klk4 and Amtn). In contrast, the expression of secretory stage genes, AmelX, Ambn, Enam and Mmp20, was unaffected. Conclusions: The low pH environment of maturation stage ameloblasts facilitates the uptake of $F^−$, causing increased cell stress that compromises ameloblast function, resulting in dental fluorosis

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License