Forget-Me-Not

The purpose of Forget-Me-Not is to provide another level of care and comfort to those suffering from mild dementia, as well as provide further assistance for a friend, family member, or caretaker who may look after them. Research shows that timely reminders and persistent information can greatly improve the quality of life for those afflicted with mild dementia (Mokhtari et al.). Forget-Me-Not’s persistent display and wearable smart-bracelet offer a customizable and well connected system to provide these reminders. For the caretaker, a mobile application is provided in order to maintain the display and notify them of emergencies or critical events from virtually anywhere. The system is composed of four primary elements: a high contrast and easily understood display that remains in the patient’s home, a mobile application wielded by the caretaker that can control aspects of the patient’s display, a web server that holds persistent information for the system, and a wearable smart-bracelet equipped with attention grabbing elements to warn the patient of an ongoing alarm. The system is designed to be modular and extensible, thus leaving massive margins for expansion and future integration with trending technologies such as smart houses and appliances

The Implications of A Net Zero Transformation of Society for Product Safety Within the Home

This report was prepared for the EnergySHINES (Energy Social sciences and Humanities Insights for Non-Energy Sectors) placement series for early career researchers which aims to transfer valuable insights from energy social sciences and humanities to the complex challenge of energy transitions in ‘non-energy’ organisations, particularly emphasising the insights and expertise of women who remain underrepresented in the sector. Current UK policy and legislation fails to adequately consider the impact that a net zero transformation of society may have on construction and consumer product safety within the home. As a result of this transformation, new products, or ways of manufacturing existing products may emerge and societal values and perceptions around sustainability and lifestyle may also evolve, along with changes in the ways that energy needs are met. This report explores the implications that a net zero transformation of society may have for product safety within the home and beyond and provides social science and humanities reflexions for policy makers to consider

Longitudinal Brain Atrophy Rates in Transient Ischemic Attack and Minor Ischemic Stroke Patients and Cognitive Profiles

Introduction: Patients with transient ischemic attack (TIA) and minor stroke demonstrate cognitive impairment, and a four-fold risk of late-life dementia.Aim: To study the extent to which the rates of brain volume loss in TIA patients differ from healthy controls and how they are correlated with cognitive impairment.Methods: TIA or minor stroke patients were tested with a neuropsychological battery and underwent T1 weighted volumetric magnetic resonance imaging scans at fixed intervals over a 3 years period. Linear mixed effects regression models were used to compare brain atrophy rates between groups, and to determine the relationship between atrophy rates and cognitive function in TIA and minor stroke patients.Results: Whole brain atrophy rates were calculated for the TIA and minor stroke patients; n = 38 between 24 h and 18 months, and n = 68 participants between 18 and 36 months, and were compared to healthy controls. TIA and minor stroke patients demonstrated a significantly higher whole brain atrophy rate than healthy controls over a 3 years interval (p = 0.043). Diabetes (p = 0.012) independently predicted higher atrophy rate across groups. There was a relationship between higher rates of brain atrophy and processing speed (composite P = 0.047 and digit symbol coding P = 0.02), but there was no relationship with brain atrophy rates and memory or executive composite scores or individual cognitive tests for language (Boston naming, memory recall, verbal fluency or Trails A or B score).Conclusion: TIA and minor stroke patients experience a significantly higher rate of whole brain atrophy. In this cohort of TIA and minor stroke patients changes in brain volume over time precede cognitive decline

COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

BACKGROUND: Updatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to define and validate ten COVID-19 phenotypes from nationwide linked electronic health records (EHR) using an extensible framework. METHODS: In this cohort study, we used eight linked National Health Service (NHS) datasets for people in England alive on Jan 23, 2020. Data on COVID-19 testing, vaccination, primary and secondary care records, and death registrations were collected until Nov 30, 2021. We defined ten COVID-19 phenotypes reflecting clinically relevant stages of disease severity and encompassing five categories: positive SARS-CoV-2 test, primary care diagnosis, hospital admission, ventilation modality (four phenotypes), and death (three phenotypes). We constructed patient trajectories illustrating transition frequency and duration between phenotypes. Analyses were stratified by pandemic waves and vaccination status. FINDINGS: Among 57 032 174 individuals included in the cohort, 13 990 423 COVID-19 events were identified in 7 244 925 individuals, equating to an infection rate of 12·7% during the study period. Of 7 244 925 individuals, 460 737 (6·4%) were admitted to hospital and 158 020 (2·2%) died. Of 460 737 individuals who were admitted to hospital, 48 847 (10·6%) were admitted to the intensive care unit (ICU), 69 090 (15·0%) received non-invasive ventilation, and 25 928 (5·6%) received invasive ventilation. Among 384 135 patients who were admitted to hospital but did not require ventilation, mortality was higher in wave 1 (23 485 [30·4%] of 77 202 patients) than wave 2 (44 220 [23·1%] of 191 528 patients), but remained unchanged for patients admitted to the ICU. Mortality was highest among patients who received ventilatory support outside of the ICU in wave 1 (2569 [50·7%] of 5063 patients). 15 486 (9·8%) of 158 020 COVID-19-related deaths occurred within 28 days of the first COVID-19 event without a COVID-19 diagnoses on the death certificate. 10 884 (6·9%) of 158 020 deaths were identified exclusively from mortality data with no previous COVID-19 phenotype recorded. We observed longer patient trajectories in wave 2 than wave 1. INTERPRETATION: Our analyses illustrate the wide spectrum of disease trajectories as shown by differences in incidence, survival, and clinical pathways. We have provided a modular analytical framework that can be used to monitor the impact of the pandemic and generate evidence of clinical and policy relevance using multiple EHR sources. FUNDING: British Heart Foundation Data Science Centre, led by Health Data Research UK

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

Genetic mechanisms of critical illness in COVID-19.

Host-mediated lung inflammation is present1, and drives mortality2, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with critical illness may identify mechanistic targets for therapeutic development3. Here we report the results of the GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2,244 critically ill patients with COVID-19 from 208 UK intensive care units. We have identified and replicated the following new genome-wide significant associations: on chromosome 12q24.13 (rs10735079, P = 1.65 × 10-8) in a gene cluster that encodes antiviral restriction enzyme activators (OAS1, OAS2 and OAS3); on chromosome 19p13.2 (rs74956615, P = 2.3 × 10-8) near the gene that encodes tyrosine kinase 2 (TYK2); on chromosome 19p13.3 (rs2109069, P = 3.98 ×  10-12) within the gene that encodes dipeptidyl peptidase 9 (DPP9); and on chromosome 21q22.1 (rs2236757, P = 4.99 × 10-8) in the interferon receptor gene IFNAR2. We identified potential targets for repurposing of licensed medications: using Mendelian randomization, we found evidence that low expression of IFNAR2, or high expression of TYK2, are associated with life-threatening disease; and transcriptome-wide association in lung tissue revealed that high expression of the monocyte-macrophage chemotactic receptor CCR2 is associated with severe COVID-19. Our results identify robust genetic signals relating to key host antiviral defence mechanisms and mediators of inflammatory organ damage in COVID-19. Both mechanisms may be amenable to targeted treatment with existing drugs. However, large-scale randomized clinical trials will be essential before any change to clinical practice

Social Science Approaches to Understanding the Implications of a Net Zero Transformation of Society

The transition to a net-zero society requires novel regulatory and policy approaches acknowledging the socio-cultural shifts accompanying climate change adaptations. Whether it’s building a new home or the evolving relationships and interactions between people and products, effective policymaking needs to systematically and intrinsically account for such transitions and ensure that they are aligned with net-zero targets. This policy brief delves into the employment of social science theories such as Reflexive Governance, Actor Network Theory, and Ecologies of Participation to understand these transitions. Emerging from a placement at the Office for Product Safety and Standards, UK, the study underscores the importance of reflexive, flexible, inclusive and interactive policymaking that integrates public engagement and considers the intricate relationships between social, technological, and natural actors. It underscores the need for an adaptive governance framework that is receptive to the dynamic interplay of societal needs, technological advancements, and environmental imperatives, together with the significant role of public participation in facilitating a cohesive approach to achieving net zero goals

Species interactions constrain adaptation and preserve ecological stability in an experimental microbial community.

Species loss within a microbial community can increase resource availability and spur adaptive evolution. Environmental shifts that cause species loss or fluctuations in community composition are expected to become more common, so it is important to understand the evolutionary forces that shape the stability and function of the emergent community. Here we study experimental cultures of a simple, ecologically stable community of Saccharomyces cerevisiae and Lactobacillus plantarum, in order to understand how the presence or absence of a species impacts coexistence over evolutionary timescales. We found that evolution in coculture led to drastically altered evolutionary outcomes for L. plantarum, but not S. cerevisiae. Both monoculture- and co-culture-evolved L. plantarum evolved dozens of mutations over 925 generations of evolution, but only L. plantarum that had evolved in isolation from S. cerevisiae lost the capacity to coexist with S. cerevisiae. We find that the evolutionary loss of ecological stability corresponds with fitness differences between monoculture-evolved L. plantarum and S. cerevisiae and genetic changes that repeatedly evolve across the replicate populations of L. plantarum. This work shows how coevolution within a community can prevent destabilising evolution in individual species, thereby preserving ecological diversity and stability, despite rapid adaptation

MASC 2023: remembering the past, celebrating the present and looking to the future

Supramolecular chemistry encompasses critical aspects found throughout the chemical sciences. Despite its ubiquity, the concept of supramolecular chemistry as a defined field of research is relatively young, although its roots run deep. Moving from strength to strength, the Royal Society of Chemistry’s MASC meeting has grown from a local, UK-based conference to a truly international event. The 2023 edition of MASC was held at the University of Birmingham, where nearly 250 participants from across four continents were brought together by their mutual interest in scientific discovery. There are many challenges still facing our community, both scientific and societal. By building on the successes of the past, recognising fantastic achievements in the present, and always looking to what we might accomplish in the future, the global MASC community will continue to flourish for years to come