Interview with Philip Glass

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Altered Forebrain and Hindbrain Development in Mice Mutant for theGsh-2Homeobox Gene

AbstractThe patterning of the mammalian brain is orchestrated by a large battery of regulatory genes. Here we examine the developmental function of theGsh-2nonclustered homeobox gene. Whole-mount and serial sectionin situhybridizations have been used to better defineGsh-2expression domains within the developing forebrain, midbrain, and hindbrain.Gsh-2transcripts are shown to be particularly abundant in the hindbrain and within the developing ganglionic eminences of the forebrain. In addition, mice carrying a targeted mutation ofGsh-2have been generated and characterized. Homozygous mutants uniformly failed to survive more than 1 day following birth. At the physiologic level the mutants experienced apnea and reduced levels of hemoglobin oxygenation. Histologically, the mutant brains had striking alterations of discrete components. In the forebrain the lateral ganglionic eminence was reduced in size. In the hindbrain, the area postrema, an important cardiorespiratory chemosensory center, was absent. The contiguous nucleus tractus solitarius, involved in integrating sensory input to maintain homeostasis, was also severely malformed in mutants. Immunohistochemistry was used to examine the mutant brains for alterations in the distribution of markers specific for serotonergic and cholinergic neurons. In addition,in situhybridizations were used to define expression patterns of the Dlx 2 and Nkx 2.1 homeobox genes in Gsh-2 mutant mice. The mutant lateral ganglionic eminences showed an abnormal absence of Dlx 2 expression. These results better define the genetic program of development of the mammalian brain, support neuromeric models of brain development, and further suggest similar patterning function for homeobox genes in phylogenetically diverse organisms

Introduction to FireGrid

Chapter 1 in the book: The Dalmarnock Fire Tests: Experiments and Modelling, Edited by G. Rein, C. Abecassis Empis and R. Carvel, Published by the School of Engineering and Electronics, University of Edinburgh, 2007. ISBN 978-0-9557497-0-4FireGrid is an ambitious and innovative project, seeking to develop the technology to support a new way of managing emergency response in the modern built environment. Specific novel aspects include the integration of diverse modelling tools for fire, structural response and egress, data assimilation strategies for leveraging these model predictions via real-time feeds of sensor data, exploitation of robust self-organising wireless sensor networks, high-speed processing using grid/HPC infrastructures with ‘on-demand’ access of remote resources, and application of intelligent C&C algorithms. The Dalmarnock fire tests have provided a useful basis for the demonstration and discussion of these concepts and technologies, driving initial integration work and highlighting the potential benefits of such a system

Technology Adoption of Computer-Aided Instruction in Healthcare: A Structured Review

Computer-Aided Instruction (CAI) is one of the interactive teaching methods that electronically presents instructional resources and enhances learner performance. In health settings, using CAI is one of the important ways to improve learners\u27 knowledge and usefulness in their healthcare specialization yet there is still a lack of research that offers a comprehensive synthesis of investigating into the adoption of CAI in healthcare. This research aims to provide a comprehensive review of related literatures on the enablers and barriers for technology adoption of CAI in healthcare. 31 journals were analyzed and revealed that several studies were utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT). The researchers then conducted qualitative coding for thematic analysis and categorized the qualitative data to find themes and patterns. Enablers as well as barriers to CAI adoption in healthcare were then discussed along with the common conclusions, limitations and recommendations for future studies. Results shows that key enablers were perceived ease of use, ease of usefulness, performance expectancy, social influence, user experience, and effort expectancy while identified key barriers were government support, funding constraints, and interactivity. The majority of the research articles highlighted the benefits of CAI in healthcare education as an innovative method for boosting the effectiveness of both teaching and learning

Technology Adoption of Computer-Aided Instruction in Healthcare: A Structured Review

Computer-Aided Instruction (CAI) is one of the interactive teaching methods that electronically presents instructional resources and enhances learner performance. In health settings, using CAI is one of the important ways to improve learners’ knowledge and usefulness in their healthcare specialization yet there is still a lack of research that offers a comprehensive synthesis of investigating into the adoption of CAI in healthcare. This research aims to provide a comprehensive review of related literatures on the enablers and barriers for technology adoption of CAI in healthcare. 31 journals were analyzed and revealed that several studies were utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT). The researchers then conducted qualitative coding for thematic analysis and categorized the qualitative data to find themes and patterns. Enablers as well as barriers to CAI adoption in healthcare were then discussed along with the common conclusions, limitations and recommendations for future studies. Results shows that key enablers were perceived ease of use, ease of usefulness, performance expectancy, social influence, user experience, and effort expectancy while identified key barriers were government support, funding constraints, and interactivity. The majority of the research articles highlighted the benefits of CAI in healthcare education as an innovative method for boosting the effectiveness of both teaching and learning

The NeST (neoadjuvant systemic therapy in breast cancer) study - Protocol for a prospective multi-centre cohort study to assess the current utilization and short-term outcomes of neoadjuvant systemic therapies in breast cancer.

INTRODUCTION: Neoadjuvant systemic therapy (NST) has several potential advantages in the treatment of breast cancer. However, there is currently considerable variation in NST use across the UK. The NeST study is a national, prospective, multicentre cohort study that will investigate current patterns of care with respect to NST in the UK. METHODS AND ANALYSIS: Phase 1 - a national practice questionnaire (NPQ) to survey current practice.Phase 2 - a multi-centre prospective cohort study of breast cancer patients, undergoing NST.Women undergoing NST as their MDT recommended primary breast cancer treatment between December 2017 and May 2018 will be included. The breast surgery and oncological professional associations and the trainee research collaborative networks will encourage participation by all breast cancer centres.Patient demographics, radiological, oncological, surgical and pathological data will be collected, including complications and the need for further intervention/treatment. Data will be collated to establish current practice in the UK, regarding NST usage and variability of access and provision of these therapies. Prospective data on 600 patients from ~50 centres are anticipated.Trial registration: ISRCTN11160072. ETHICS AND DISSEMINATION: Research ethics approval is not required for this study, as per the online Health Research Authority decision tool. The information obtained will provide valuable insights to help patients make informed decisions about their treatment. These data should establish current practice in the UK concerning NST, inform future service delivery as well as identifying further research questions.This protocol will be disseminated through the Mammary Fold Academic Research Collaborative (MFAC), the Reconstructive Surgery Trials Network and the Association of Breast Surgery. Participating units will have access to their own data and collective results will be presented at relevant conferences and published in appropriate peer-reviewed journals, as well as being made accessible to relevant patient groups

The B-MaP-C study: Breast cancer management pathways during the COVID-19 pandemic. Study protocol.

Introduction: Approximately 55,000 women in the United Kingdom are diagnosed with new breast cancer annually. Since emerging in December 2019, SARS-CoV-2 (coronavirus disease 2019, COVID-19) has become a global pandemic, affecting healthcare delivery worldwide. In response to the pandemic, multiple guidelines were issued to assist with rationalising breast cancer care. The primary aim of the B-MaP-C study is to audit and describe breast cancer management of patients newly diagnosed with breast cancer during the COVID-19 pandemic against pre-COVID-19 management practice in the UK. The implications of changes to management will be determined and the impact of a COVID-19 diagnosis on the patient's breast cancer management will be determined. Methods and analysis: This is a multi-centre collaborative audit of consecutive breast cancer patients undergoing treatment decisions during the acute and recovery phases of the COVID-19 pandemic. All patients with newly diagnosed primary breast cancer, whose treatment was decided in a multidisciplinary meeting from the 16th March 2020, are eligible for inclusion. Ethics and dissemination: As this is an audit ethical approval is not required. Each participating centre is required to register the study locally and obtain local governance approvals prior to commencement of data collection. Local audit data will be available to individual participating units for governance purposes. The results of the data analysis will be submitted for publication, as well as disseminated via the ABS newsletter and a webinar. All data will be presented at national and international conferences, circumstances permitting. Registration details: Each participating centre received local governance audit registration