Overcoming barriers to the implementation of early warning systems to reduce the maternal mortality rate in the United States of America

The United States has the highest Maternal Mortality Rate in the developed world, and it has been increasing since 1987. To combat this problem, researchers have developed Early Warning Systems (EWS) to identify when a woman is developing signs of a life-threatening problem during the maternal period. The goal of this research is to identify if these early warning systems are being used in U.S. hospitals, and, if not, what the best way is to implement them. Several interviews were performed with hospitals across the U.S. and the transcripts were run through the analyzing software NVivo. Each transcript will be analyzed for common responses and frequently used words to determine the usage of EWS and the barriers to implementation

Adoption and everyday use of artificial intelligence by NHS knowledge and library professionals in England : Part I: context and support

Knowledge and library professionals in the UK are exploring the use of generative artificial intelligence (AIand contributing to discussions concerning data and knowledge, in the context of a country keen to drivethe adoption of data driven services and digital technologies. In this article we introduce the driversadoption of AI within NHS Knowledge and Library Services (KLS) in England, and the methodologies employedto upskill staff in new technologies. This is set against the backdrop of the ethics and risks associated withwhich provide opportunities for KLS to improve services and support the safe and effective adoption of AIfollow up article we provide practical use case studies, to help inspire experimentation and adoption

Adoption and everyday use of artificial intelligence by NHS knowledge and library professionals in England: Part II: practical application

In part I of this article, published in this same issue of the Journal of EAHIL, we set the background for the NHS in England context looking at the drivers, strategy, and actions taken to develop the Knowledge and Library Services (KLS) workforce. In this piece we provide a snapshot of how services are testing and beginning to adopt artificial intelligence (AI) in their practice. It also reflects on the role of KLS in educating the workforce and provides the challenge to adopt AI and skilfully weave into all we do until it becomes business as usual

New Synthetic Approaches to Chromium Dioxide and Synthesis of Group 4 Organometallics Supported by β-Diketonate Ligands

CrO2 is a half-metallic ferromagnet, with calculations suggesting that all spin up electrons are conductive while all spin down electrons have a band gap of 1.6 eV. Current state of the art synthetic routes cannot create pure CrO2&nbsp;materials, and the impurities impede the 100% spin polarization that makes CrO2&nbsp;unique. Here, we attempted a sol-gel synthesis of CrO2&nbsp;from CrIV precursors and H2O, similar to the approaches used to synthesize TiO2. CrO2&nbsp;was formed without high temperatures, oxygen pressures nor the use of CrVI precursors, but pure materials were not achieved. Additionally, using a sterically encumbered &beta;-diketonate, we report the synthesis of Ti(ArAcac)2Bn(THF) and M(ArAcac)2Bn2 (M = Zr, Hf). The reaction of H(ᴬʳAcac) (HArAcac = 1-tBu-3-(2,4,6-Me3C6H2)C6H3))(1,3-pentanedione) with MCl4 (M = Zr, Hf) gives M(ArAcac)2Cl2 in 84% and 78% yield, respectively. When treated with 2 equivalents of BnMgCl, the corresponding dibenzyl complexes M(ArAcac)2Bn2 are formed.</p

Deconstructing the Seductive Allure of Neuroscience Explanations

Previous work showed that people find explanations more satisfying when they contain irrelevant neuroscience information. The current studies investigate why this effect happens. In Study 1 (N=322), subjects judged psychology explanations that did or did not contain irrelevant neuroscience information. Longer explanations were judged more satisfying, as were explanations containing neuroscience information, but these two factors made independent contributions. In Study 2 (N=255), subjects directly compared good and bad explanations. Subjects were generally successful at selecting the good explanation except when the bad explanation contained neuroscience and the good one did not. Study 3 (N=159) tested whether neuroscience jargon was necessary for the effect, or whether it would obtain with any reference to the brain. Responses to these two conditions did not differ. These results confirm that neuroscience information exerts a seductive effect on people’s judgments, which may explain the appeal of neuroscience information within the public sphere

The COVID - Curated and Open aNalysis aNd rEsearCh plaTform (CO-CONNECT)

Objectives CO-CONNECT is making UK COVID-19 data Findable, Accessible, Interoperable and Reusable (FAIR) through a federated platform, which supports secure, anonymised research at scale and pace. This interdisciplinary project, spanning 22 organisations, is connecting data from >50 large research cohorts and data collected through routine healthcare provision across the UK. Approach Across the UK, data has been collected that can help us answer key questions about COVID-19. As the data are in many places with many different processes it is difficult and complex for public health groups, researchers, policymakers, and government to find and access lots of high-quality data quickly and efficiently to make decisions. In collaboration with Health Data Research UK, CO-CONNECT is streamlining processes of accessing data for research. Results 1) Discovering data and meta-analysis: CO-CONNECT enables researchers to determine how many people meet their research criteria within the various datasets across the UK through the Health Data Research Innovation Gateway Cohort Discovery tool e.g. “How many people in each dataset have had a PCR test which was positive and were under the age of 40?” Only summary level, anonymous data are provided so researchers can answer such questions rapidly without requiring multiple data governance permissions and directly contacting each data source. The tool also supports aggregate level meta-analysis of the data. 2) Detailed analysis: With data governance approvals, researchers can analyse detailed level, standardised, linked, pseudonymised data in a Trusted Research Environment. The common format reduces the effort on each research project, supporting rapid research. Conclusion Providing data in this de-identifiable, safe way enables rapid, robust research e.g., COVID-19 results from a test centre can be linked to hospital records along with prescriptions from pharmacies enabling researchers to understand whether people with different existing health conditions are more or less susceptible to COVID-19. If you want to know more visit https://co-connect.ac.uk

Recent Developments: The Uniform Arbitration Act

This Article is an overview of recent court decisions that interpret state versions of the Uniform Arbitration Act ( U.A.A. ).\u27 Arbitration statutes patterned after the U.A.A. have been adopted by thirty-four states and the District of Columbia. The goal of this project is to promote uniformity in the interpretation of the U.A.A. by articulating the underlying policies and rationales of recent court decisions interpreting the U.A.A

Recent Developments: The Uniform Arbitration Act

This Article is an overview of recent court decisions that interpret state versions of the Uniform Arbitration Act ( U.A.A. ).\u27 Arbitration statutes patterned after the U.A.A. have been adopted by thirty-four states and the District of Columbia. The goal of this project is to promote uniformity in the interpretation of the U.A.A. by articulating the underlying policies and rationales of recent court decisions interpreting the U.A.A