4,449 research outputs found

    Comparative systems of assessment of illness or disability for the purposes of adult social welfare payments, First Report (Final) (Incapacity for Work)

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    This is the first report of the study of comparative systems of assessment of illness or disability for the purposes of adult ‘incapacity’ social welfare payments. The purpose of the research is to examine systems for medical/disability assessment and review used in other comparable jurisdictions for assessing entitlement to social welfare illness and disability payments, and to draw key learning for the Irish system

    Discriminative learning for structured outputs and environments

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    Machine learning methods have had considerable success across a wide range of applications. Much of this success is due to the flexibility of learning algorithms and their ability to tailor themselves to the requirements of the particular problem. In this thesis we examine methods that seek to exploit the underlying structure of a problem and make the best possible use of the available data. We explore the structural nature of two different problems, binary classification under the uncertainty of input relationships, and multi-label output learning of Markov networks with unknown graph structures. From the input perspective, we focus on binary classification and the problems associated with learning from limited amounts of data. In particular we pay attention to moment based methods and investigate how to deal with the uncertainty surrounding the estimate of moments using either small or noisy training samples. We present a worst-case analysis and show how the high probability bounds on the deviation of the true moments from their empirical counterparts can be used to generate a regularisation scheme that takes into consideration the relative amount of information that is available for each class. This results in a binary classification algorithm that directly minimises the worst case future misclassification rate, whilst taking into consideration the possible errors in the moment estimates. This algorithm was shown to outperform a number of traditional approaches across a range of benchmark datasets, doing particularly well when training was limited to small amounts of data. This supports the idea that we can leverage the class specific regularisation scheme and take advantage of the uncertainty of the datasets when creating a predictor. Further encouragement for this approach was provided during the high-noise experiments, predicting the directional movement of popular currency pairs, where moment based methods outperformed those using the peripheral point of the class-conditional distributions. From the output perspective, we focus on the problem of multi-label output learning over Markov networks and present a novel large margin learning method that leverages the correlation between output labels. Our approach is agnostic to the output graph structure and it simultaneously learns the intrinsic structure of the outputs, whilst finding a large margin separator. Based upon the observation that the score function over the complete output graph is given by the expectation of the score function over all spanning trees, we formulate the problem as an L1-norm multiple kernel learning problem where each spanning tree over the complete output graph gives rise to a particular instance of a kernel. We show that this approach is comparable to state-of-the-art approaches on a number of benchmark multi-label learning problems. Furthermore, we show how this method can be applied to the problem of predicting the joint movement of a group of stocks, where we not only infer the directional movement of individual stocks but also uncover insights on the input-dependent relationships between them

    Comparative systems of assessment of illness or disability for the purposes of adult social welfare payments. Second report (Carers)

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    Purpose of the report: This is the second report of the study of comparative systems of assessment of illness or disability for the purposes of adult social welfare payments. This report considers assessment systems for carer payments in relation to disability status of an adult cared-for person. The purpose of the research, as set out in the RFT,is to examine systems for medical/disability assessment and review used in other comparable jurisdictions and to draw key learning for the Irish system.Methodology: The research looks at assessment systems for adult carers payments in a number of OECD countries, using 1) a review of relevant literature (including review of various online academic databases and legal databases) 2) access to online information from social security authorities and others 3) review of detailed evaluations of assessment systems (where these are available) 4)contacts with key informants in the chosen countries. The researchers first carried out a rapid review of assessment systems in a range of OECD countries (see Initial Review). On the basis of this study it was agreed to focus the research on Australia, Netherlands, New Zealand, Nova Scotia (Canada) and the United Kingdom (UK).Structure of the report: In chapter 2, we provide a short overview of issues concerning support for carers drawing on the available literature. Chapter 3 provides an overview of the assessment systems in the five jurisdictions. Finally chapter 4 discusses the relevance of the findings to the Irish system.The detailed country reports are set out in the Annexes

    Comparative systems of assessment of illness or disability for the purposes of adult social welfare payments, First Report (Final) (Incapacity for Work)

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    This is the first report of the study of comparative systems of assessment of illness or disability for the purposes of adult ‘incapacity’ social welfare payments. The purpose of the research is to examine systems for medical/disability assessment and review used in other comparable jurisdictions for assessing entitlement to social welfare illness and disability payments, and to draw key learning for the Irish system

    Chemical composition of AY Ceti: A flaring, spotted star with a white dwarf companion

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    The detailed chemical composition of the atmosphere AY Cet (HD 7672) is determined from a high-resolution spectrum in the optical region. The main atmospheric parameters and the abundances of 22 chemical elements, including key species such as 12C, 13C, N, and O, are determined. A differential line analysis gives T_eff=5080 K, log g=3.0, [Fe/H]=-0.33, [C/Fe]=-0.17, [N/Fe]=0.17, [O/Fe]=0.05, C/N=1.58, and 12C/13C=21. Despite the high chromospheric activity, the optical spectrum of AY Cet provides a chemical composition typical for first ascent giants after the first dredge-up.Comment: 11 figure

    An astrophysical interpretation of the remarkable g-mode frequency groups of the rapidly rotating γ Dor star, KIC 5608334

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    The Fourier spectrum of the γ-Dor variable KIC 5608334 shows remarkable frequency groups at ∼3, ∼6, ∼9, and 11–12 d−1. We explain the four frequency groups as prograde sectoral g modes in a rapidly rotating star. Frequencies of intermediate-to-high radial order prograde sectoral g modes in a rapidly rotating star are proportional to |m| (i.e. ν∝|m|) in the corotating frame as well as in the inertial frame. This property is consistent with the frequency groups of KIC 5608334 as well as the period versus period-spacing relation present within each frequency group, if we assume a rotation frequency of 2.2 d−1, and that each frequency group consists of prograde sectoral g modes of |m| = 1, 2, 3, and 4, respectively. In addition, these modes naturally satisfy near-resonance conditions νi ≈ νj + νk with mi = mj + mk. We even find exact resonance frequency conditions (within the precise measurement uncertainties) in many cases, which correspond to combination frequencies

    Long-term outcomes of patients with Takayasu arteritis and renal artery involvement: a cohort study.

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    OBJECTIVE: To describe the long-term outcomes of patients with Takayasu arteritis (TAK) and renal artery involvement (RAI). METHODS: A retrospective review of 122 patients with TAK at three tertiary centres in Canada, Sweden and the UK. Data on demographics, laboratory and clinical parameters, medications and angiography findings were collected. Non-renal and renal parameters were compared at baseline and follow-up. RESULTS: A total of 37 patients (30%) with RAI were identified: 18 (49%) with unilateral and 19 (51%) with bilateral RAI. Patients were predominantly female (89%). The median age at diagnosis was 27 years [interquartile range (IQR) 16-38]. The median follow-up time was 7 years (IQR 2-12). Hypertension was seen in 27 patients (73%) at presentation and 25 (68%) at follow-up. The median estimated glomerular filtration (eGFR) at presentation was 94 and 98 ml/min/1.73 m2 in those with unilateral and bilateral RAI, respectively. The corresponding median eGFR at follow-up was 101.5 and 104 ml/min/1.73 m2, respectively. Three patients at presentation and two at follow-up had an eGFR of <60 ml/min/1.73 m2. Five underwent endovascular intervention and three required surgical interventions. Among the 33 patients with radiologic follow-up, 23 (69%) had persistent RAI and 10 (30%) had resolution of RAI. One (6%) patient with unilateral RAI developed bilateral RAI and three (19%) with bilateral RAI regressed to unilateral RAI. Over time, 23 (62%) patients had stable renal function, 7 (19%) had improvement and 4 had a decline in renal function; no patient developed end-stage renal disease (ESRD). CONCLUSION: In this series of TAK patients with RAI, long-term non-renal and renal outcomes were favourable. No patient experienced ESRD or died

    Cued memory reactivation during SWS abolishes the beneficial effect of sleep on abstraction

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    Study Objectives: Extracting regularities from stimuli in our environment and generalizing these to new situations are fundamental processes in human cognition. Sleep has been shown to enhance these processes, possibly by facilitating reactivation-triggered memory reorganization. Here, we assessed whether cued reactivation during slow wave sleep (SWS) promotes the beneficial effect of sleep on abstraction of statistical regularities. Methods: We used an auditory statistical learning task, in which the benefit of sleep has been established. Participants were exposed to a probabilistically determined sequence of tones and subsequently tested for recognition of novel short sequences adhering to this same statistical pattern in both immediate and delayed recall sessions. In different groups, the exposure stream was replayed during SWS in the night between the recall sessions (SWS-replay group), in wake just before sleep (presleep replay group), or not at all (control group). Results: Surprisingly, participants who received replay in sleep performed worse in the delayed recall session than the control and the presleep replay group. They also failed to show the association between SWS and task performance that has been observed in previous studies and was present in the controls. Importantly, sleep structure and sleep quality did not differ between groups, suggesting that replay during SWS did not impair sleep but rather disrupted or interfered with sleep-dependent mechanisms that underlie the extraction of the statistical pattern. Conclusions: These findings raise important questions about the scope of cued memory reactivation and the mechanisms that underlie sleep-related generalization

    MtLAX2, a functional homologue of the Arabidopsis auxin influx transporter AUX1, is required for nodule organogenesis

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    Most legume plants can form nodules, specialized lateral organs that form on roots, and house nitrogen-fixing bacteria collectively called rhizobia. The uptake of the phytohormone auxin into cells is known to be crucial for development of lateral roots. To test the role of auxin influx in nodulation we used the auxin influx inhibitors 1-naphthoxyacetic acid (1-NOA) and 2-NOA, which we found reduced nodulation of Medicago truncatula. This suggested the possible involvement of the AUX/LAX family of auxin influx transporters in nodulation. Gene expression studies identified MtLAX2, a paralogue of Arabidopsis (Arabidopsis thaliana) AUX1, as being induced at early stages of nodule development. MtLAX2 is expressed in nodule primordia, the vasculature of developing nodules, and at the apex of mature nodules. The MtLAX2 promoter contains several auxin response elements, and treatment with indole-acetic acid strongly induces MtLAX2 expression in roots. mtlax2 mutants displayed root phenotypes similar to Arabidopsis aux1 mutants, including altered root gravitropism, fewer lateral roots, shorter root hairs, and auxin resistance. In addition, the activity of the synthetic DR5-GUS auxin reporter was strongly reduced in mtlax2 roots. Following inoculation with rhizobia, mtlax2 roots developed fewer nodules, had decreased DR5-GUS activity associated with infection sites, and had decreased expression of the early auxin responsive gene ARF16a. Our data indicate that MtLAX2 is a functional analog of Arabidopsis AUX1 and is required for the accumulation of auxin during nodule formation in tissues underlying sites of rhizobial infection

    Increased respiratory viral detection and symptom burden among patients with primary antibody deficiency: results from the BIPAD study

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    Background Patients with primary antibody deficiency (PAD) are at increased risk of respiratory tract infections, but our understanding of their nature and consequences remains limited. Objective To define the symptomatic and microbial burden of upper airway infection in adults with PAD relative to age-matched controls. Methods Prospective 12-month observational study consisting of a daily upper and lower airway symptom score alongside fortnightly nasal swab with molecular detection of 19 pathogen targets. Results A total of 44 patients and 42 controls (including 34 household pairs) were recruited, providing more than 22,500 days of symptom scores and 1,496 nasal swabs. Swab and questionnaire compliance exceeded 70%. At enrollment, 64% of patients received prophylactic antibiotics, with a 34% prevalence of bronchiectasis. On average, patients with PAD experienced symptomatic respiratory exacerbations every 6 days compared with 6 weeks for controls, associated with significant impairment of respiratory-specific quality-of-life scores. Viral detections were associated with worsening of symptom scores from a participant's baseline. Patients with PAD had increased odds ratio (OR) for pathogen detection, particularly viral (OR, 2.73; 95% CI, 2.09-3.57), specifically human rhinovirus (OR, 3.60; 95% CI, 2.53-5.13) and parainfluenza (OR, 3.06; 95% CI, 1.25-7.50). Haemophilus influenzae and Streptococcus pneumoniae were also more frequent in PAD. Young child exposure, IgM deficiency, and presence of bronchiectasis were independent risk factors for viral detection. Prophylactic antibiotic use was associated with a lower risk of bacterial detection by PCR. Conclusions Patients with PAD have a significant respiratory symptom burden associated with increased viral infection frequency despite immunoglobulin replacement and prophylactic antibiotic use. This highlights a clear need for future therapeutic trials in the population with PAD, and informs future study design
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