Modelling monetary transmission in UK manufacturing industry

This paper studies the transmission of monetary policy to industrial output in the UK. In order to capture asymmetries, a system of threshold equations is considered. However, unlike previous research, endogenous threshold parameters are allowed to be different for each equation. This approach is consistent with economic intuition and is shown to be of tangible importance after suitable econometric evaluation. Results show evidence of cross-sectional differences across industries and asymmetries in some sectors. These findings contribute to the debate about the importance of alternative economic theories to explain these asymmetries and support the use of a sectorally disaggregated approach to the analysis of monetary transmission

Ageing Simulation in Health and Social Care Education: A mixed methods systematic review

Abstract Aim: To identify, evaluate and summarise evidence from qualitative, quantitative and mixed method studies conducted utilising age-suits or other age simulation equipment, with health and social care students. Design: Convergent segregated mixed method review design as outlined by the Johanna Briggs Institute Data Sources: CINAHL (+ with Full Text), MEDLINE, PsycINFO, PubMed, SocINDEX, Web of Science, Cochrane Library, Emerald Insight, Proquest nursing, Science Direct, Wiley Online and BioMed Central (January 2000 – January 2020) Review methods: Convergent segregated synthesis was used to synthesise evidence from the studies, and the MERSQI checklist used to appraise quality. Results: A total of 23 studies were reviewed: one randomised control, two post-test only randomised control, three quasi-experimental, 15 one-group pre / post studies and two qualitative studies. Of the seventeen studies carrying out inferential statistics on attitude scores post intervention, 11 reported an improvement, three indicated no significant change and three reported worsening scores. Key themes included use of appropriate scales, type of equipment utilised, location and length of interactions, debriefing, and contextualisation of interventions in broader teaching. Conclusion: The impact of ageing simulation interventions on health and social care student’s attitudes to older people was predominantly positive. However, further high-quality research is warranted to understand the optimal use of such interventions within the context of healthcare for a growing ageing population. Impact: It is important health and social care staff have appropriate knowledge and training to enable them to provide high quality care to older people, and challenge potential ageism in the system. This review adds to the body of work around the use of simulation and experiential learning to educate health and social care students regarding ageing and ageism. It also offers recommendations for using ageing simulations effectively to inform attitudes of prospective professionals who will influence future health and social care. Keywords: Simulation, Ageing, Age-suit, Nursing, Health and social care, Education, Attitudes, Empathy, Experiential learning, Systematic revie

Alliance of Genome Resources Portal: unified model organism research platform

The Alliance of Genome Resources (Alliance) is a consortium of the major model organism databases and the Gene Ontology that is guided by the vision of facilitating exploration of related genes in human and well-studied model organisms by providing a highly integrated and comprehensive platform that enables researchers to leverage the extensive body of genetic and genomic studies in these organisms. Initiated in 2016, the Alliance is building a central portal (www.alliancegenome.org) for access to data for the primary model organisms along with gene ontology data and human data. All data types represented in the Alliance portal (e.g. genomic data and phenotype descriptions) have common data models and workflows for curation. All data are open and freely available via a variety of mechanisms. Long-term plans for the Alliance project include a focus on coverage of additional model organisms including those without dedicated curation communities, and the inclusion of new data types with a particular focus on providing data and tools for the non-model-organism researcher that support enhanced discovery about human health and disease. Here we review current progress and present immediate plans for this new bioinformatics resource

Alliance of Genome Resources Portal: unified model organism research platform

The Alliance of Genome Resources (Alliance) is a consortium of the major model organism databases and the Gene Ontology that is guided by the vision of facilitating exploration of related genes in human and well-studied model organisms by providing a highly integrated and comprehensive platform that enables researchers to leverage the extensive body of genetic and genomic studies in these organisms. Initiated in 2016, the Alliance is building a central portal (www.alliancegenome.org) for access to data for the primary model organisms along with gene ontology data and human data. All data types represented in the Alliance portal (e.g. genomic data and phenotype descriptions) have common data models and workflows for curation. All data are open and freely available via a variety of mechanisms. Long-term plans for the Alliance project include a focus on coverage of additional model organisms including those without dedicated curation communities, and the inclusion of new data types with a particular focus on providing data and tools for the non-model-organism researcher that support enhanced discovery about human health and disease. Here we review current progress and present immediate plans for this new bioinformatics resource

A review and synthesis of the use of social media in Initial Teacher Education

Several previous studies have reviewed the literature surrounding the use of technology in teacher education. This literature review takes a specific focus as it addresses the use of social media in initial teacher education. It seeks to explore what constitutes effective use of social media in supporting the development of new teachers in all sectors of initial teacher education (ITE), including Primary, Secondary, English Language Teaching (ELT) and Lifelong Learning. We seek to develop and share a deeper understanding of the relationship between social media and the participation and collaboration of pre-service teachers in initial teacher education. The findings of the review include issues surrounding community, pedagogy and design, and this synthesis provides a significant exploratory contribution to the development of effective teacher education and training across the UK curriculum

The Gene Ontology knowledgebase in 2023

The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms. Here, we provide an updated overview of the GO knowledgebase, as well as the efforts of the broad, international consortium of scientists that develops, maintains, and updates the GO knowledgebase. The GO knowledgebase consists of three components: (1) the GO-a computational knowledge structure describing the functional characteristics of genes; (2) GO annotations-evidence-supported statements asserting that a specific gene product has a particular functional characteristic; and (3) GO Causal Activity Models (GO-CAMs)-mechanistic models of molecular "pathways" (GO biological processes) created by linking multiple GO annotations using defined relations. Each of these components is continually expanded, revised, and updated in response to newly published discoveries and receives extensive QA checks, reviews, and user feedback. For each of these components, we provide a description of the current contents, recent developments to keep the knowledgebase up to date with new discoveries, and guidance on how users can best make use of the data that we provide. We conclude with future directions for the project