The Duty to Defend Clause in a Liability Insurance Policy: Should the Exclusive Pleading Test Be Replaced?

The author analyzes the insurer\u27s duty to defend and the judicial dilemma in choosing between the exclusive pleading test and the factual test in the determination whether the duty exists in each of six possible fact paradigms. The author critically examines :he rationale underlying the selection of either test within each paradigm, and suggests a foundation upon which courts should base their resolution of the conflict

The Duty to Defend Clause in a Liability Insurance Policy: Should the Exclusive Pleading Test Be Replaced?

The author analyzes the insurer\u27s duty to defend and the judicial dilemma in choosing between the exclusive pleading test and the factual test in the determination whether the duty exists in each of six possible fact paradigms. The author critically examines :he rationale underlying the selection of either test within each paradigm, and suggests a foundation upon which courts should base their resolution of the conflict

Innovative system for delivery of low temperature district heating

An innovative low temperature district heating (LTDH) local network is developed in Nottingham, supported by the REMOURBAN project, part of the H2020 Smart City and Community Lighthouse scheme. It was proposed that a branch emanating from the return pipe of the existing district heating system in Nottingham would be created to use low temperature heating for the first time on such scale in the UK. The development is aimed to extract unused heat from existing district heating system and to make it more efficient and profitable. The 94 low-raised flats in four maisonette blocks in Nottingham demo site have been selected to be connected to this new LTDH system. The scheme will provide a primary supply of space heating and hot water at approximately 50°C to 60°C. Innovated solutions have been put forward to overcome certain barriers, such as legionella related risks and peak loads during extreme heating seasons and occasional maintenance

Maternal Immune Activation Alters Fetal Brain Development through Interleukin-6

Schizophrenia and autism are thought to result from the interaction between a susceptibility genotype and environmental risk factors. The offspring of women who experience infection while pregnant have an increased risk for these disorders. Maternal immune activation (MIA) in pregnant rodents produces offspring with abnormalities in behavior, histology, and gene expression that are reminiscent of schizophrenia and autism, making MIA a useful model of the disorders. However, the mechanism by which MIA causes long-term behavioral deficits in the offspring is unknown. Here we show that the cytokine interleukin-6 (IL-6) is critical for mediating the behavioral and transcriptional changes in the offspring. A single maternal injection of IL-6 on day 12.5 of mouse pregnancy causes prepulse inhibition (PPI) and latent inhibition (LI) deficits in the adult offspring. Moreover, coadministration of an anti-IL-6 antibody in the poly(I:C) model of MIA prevents the PPI, LI, and exploratory and social deficits caused by poly(I:C) and normalizes the associated changes in gene expression in the brains of adult offspring. Finally, MIA in IL-6 knock-out mice does not result in several of the behavioral changes seen in the offspring of wild-type mice after MIA. The identification of IL-6 as a key intermediary should aid in the molecular dissection of the pathways whereby MIA alters fetal brain development, which can shed new light on the pathophysiological mechanisms that predispose to schizophrenia and autism

Metabolic stress-induced microRNA and mRNA expression profiles of human fibroblasts

Metabolic and oxidative stresses induce physiological adaptation processes, disrupting a finely tuned, coordinated network of gene expression. To better understand the interplay between the mRNA and miRNA transcriptomes, we examined how two distinct metabolic stressors alter the expression profile of human dermal fibroblasts.Primary fibroblast cultures were obtained from skin biopsies of 17 healthy subjects. Metabolic stress was evoked by growing subcultured cells in glucose deprived, galactose enriched (GAL) or lipid reduced, cholesterol deficient (RL) media, and compared to parallel-cultured fibroblasts grown in standard (STD) medium. This was followed by mRNA expression profiling and assessment of >1000 miRNAs levels across all three conditions. The miRNA expression levels were subsequently correlated to the mRNA expression profile.Metabolic stress by RL and GAL both produced significant, strongly correlated mRNA/miRNA changes. At the single gene level four miRNAs (miR-129-3p, miR-146b-5p, miR-543 and miR-550a) showed significant and comparable expression changes in both experimental conditions. These miRNAs appeared to have a significant physiological effect on the transcriptome, as nearly 10% of the predicted targets reported changes at mRNA level. The two distinct metabolic stressors induced comparable changes in the miRNome profile, suggesting a common defensive response of the fibroblasts to altered homeostasis. The differentially expressed miR-129-3p, miR-146b-5p, miR-543 and miR-550a regulated multiple genes (e.g. NGEF, NOVA1, PDE5A) with region- and age-specific transcription in the human brain, suggesting that deregulation of these miRNAs might have significant consequences on CNS function. The overall findings suggest that analysis of stress-induced responses of peripheral fibroblasts, obtained from patients with psychiatric disorders is a promising avenue for future research endeavors. © 2013 Elsevier Inc

Pre-training strategies and datasets for facial representation learning

What is the best way to learn a universal face representation? Recent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of interest (e.g. face recognition, facial landmark localization etc.) but has overlooked the overarching question of how to find a facial representation that can be readily adapted to several facial analysis tasks and datasets. To this end, we make the following 4 contributions: (a) we introduce, for the first time, a comprehensive evaluation benchmark for facial representation learning consisting of 5 important face analysis tasks. (b) We systematically investigate two ways of large-scale representation learning applied to faces: supervised and unsupervised pre-training. Importantly, we focus our evaluations on the case of few-shot facial learning. (c) We investigate important properties of the training datasets including their size and quality (labelled, unlabelled or even uncurated). (d) To draw our conclusions, we conducted a very large number of experiments. Our main two findings are: (1) Unsupervised pre-training on completely in-the-wild, uncurated data provides consistent and, in some cases, significant accuracy improvements for all facial tasks considered. (2) Many existing facial video datasets seem to have a large amount of redundancy. We will release code, and pre-trained models to facilitate future research.Comment: Accepted at ECCV 202

Vulnerability of DHCR7+/- mutation carriers to aripiprazole and trazodone exposure

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A prospective study to assess the value of MMP-9 in improving the appropriateness of urgent referrals for colorectal cancer

Background Bowel cancer is common and is a major cause of death. Most people with bowel symptoms who meet the criteria for urgent referral to secondary care will not be found to have bowel cancer, and some people who are found to have cancer will have been referred routinely rather than urgently. If general practitioners could better identify people who were likely to have bowel cancer or conditions that may lead to bowel cancer, the pressure on hospital clinics may be reduced, enabling these patients to be seen more quickly. Increased levels of an enzyme called matrix metalloproteinase 9 (MMP-9) have been found to be associated with such conditions, and this can be measured from a blood sample. This study aims to find out whether measuring MMP-9 levels could improve the appropriateness of urgent referrals for patients with bowel symptoms. Methods People aged 18 years or older referred to a colorectal clinic will be asked to complete a questionnaire about symptoms, recent injuries or chronic illnesses (these can increase the level of matrix metalloproteinases) and family history of bowel cancer. A blood sample will be taken from people who consent to take part to assess MMP-9 levels, and the results of examination at the clinic and/or investigations arising from the clinic visit will be collected from hospital records. The accuracy of MMP-9 will be assessed by comparing the MMP-9 level with the resulting diagnosis. The combination of factors (e.g. symptoms and MMP-9 level) that best predict a diagnosis of malignancy (invasive disease or polyps) will be determined. Discussion Although guidelines are in place to facilitate referrals to colorectal clinics, symptoms alone do not adequately distinguish people with malignancy from people with benign conditions. This study will establish whether MMP-9 could assist this process. If this were the case, measurement of MMP-9 levels could be used by general practitioners to assist in the identification of people who were most likely to have bowel cancer or conditions that may lead to bowel cancer, and who should, therefore, be referred most urgently to secondary car

Improving public services through open data: public toilets

Bichard’s work for the TACT3 project (Bichard REF Output 3) found that UK toilet provision is not centrally collated and no national map or database of toilets exists. In contrast, the UK government’s white paper Open Public Services (2011) emphasised its commitment to incorporating the use of Open Data in public services provision that could be tailored to community preferences, and therefore be more sustainable. Incorporating Open Data on public toilet provision, Bichard and Knight (RCA) developed The Great British Public Toilet Map (GBPTM). Whilst a number of other websites and applications map toilets by ‘crowd surfing’, GBPTM is entirely populated by Open Data, and not only uses the data as information for users, but informs members of the public that such information is available and accessible for their use. This paper presents the development of the GBPTM, including inclusive design research and studies that compare accuracy of information directly provided by users with Open Data collected by local authorities. It suggests that, to meet the health and well-being of an ageing population, a sustainable and cost-effective solution must be found for ‘publicly accessible’ toilet provision, including opening up provision beyond that ‘for customers only’ and providing accurate information on current public provision. The paper highlights the barriers encountered in the production of Open Data by local authorities. A review of the paper in the journal Civil Engineering (May 2013) described the design of the GBPTM as a ‘simple and elegant solution’. The development of a digital output and an understanding of digitally based research led to Bichard’s successful submission to an EPSRC Digital Economy sandpit, in which she developed an interdisciplinary project with the Universities of Newcastle, Bournemouth and the West of England. The project, Family Rituals 2.0, secured £750,000 in research funding with Bichard as co-investigator (2013–15)