34 research outputs found

    Documenting & imputing missing values in a longitudinal survey of students’ personal attributes

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    The University of Glasgow is currently engaged in a programme of action designed to reduce the proportion of students who withdraw from the university during their first year. Student retention is a cause for concern for higher education institutions in terms of reputation and funding. Previously, researchers have suggested that early withdrawal from university is linked to personal attributes. A questionnaire to explore this was designed consisting of 5 standard psychometric scales measuring respectively mindset, self efficacy, self esteem, resilience and hope. All new entrants to the University of Glasgow in September/October 2009 were invited to take part in a study of these personal attributes. 1,098 (20%) new undergraduates and 407 (10%) new postgraduates agreed, and filled in the questionnaire while pre-registering on the university’s computerized registration system (WebSURF). At random, half of the students who took part at baseline were invited to complete the same survey again at the end of teaching in Semester 1 and the other half at the end of teaching in Semester 2. The results obtained on the psychometric scales were linked to routinely-collected data about the same students’ background and their continuation and progression at the end of first year. The aim was to investigate the influence of personal attributes, either on their own or in conjunction with demographic variables, on the continuation and progression of students. A common problem encountered in this study is that data were missing. It is important that the reasons why data are missing are taken into account and that missing data is dealt with, as far as possible, in a way that does not lead to biased results and invalid inferences. For this reason, it was decided not to rely on the results of a complete case analysis, but to use multiple imputation to fill in the missing values and then repeat the analysis using the completed datasets as well. Chapter 2 provides a review of the psychometric scales used in this study. The characteristics of missing data and methods to handle missing data are described. Also in Chapter 2, the theory of various statistical methods used in this analysis is illustrated in detail. In Chapter 3 the completeness of the questionnaire dataset is documented by examining the rates of non-response. The completeness of the questionnaire is also examined to establish if any of the demographic variables such as Sex, Age, Domicile, Faculty and Socio-Economic Class are associated with it. A higher proportion of older than younger undergraduate students completed the questionnaire fully, and more students in a professional faculty than students in a non-professional faculty completed it. The complete case analysis to explore the effect of demographic variables and personal attributes on the outcome of first year for undergraduate students is detailed in Chapter 4. For whether or not first year students continued at the University of Glasgow after first year neither the baseline personal attribute scores nor the difference in personal attribute scores were found to be statistically significant. The change in self esteem score in the course of first was seen to be a significant predictor of whether or not first year students progressed at the University of Glasgow after first year. Chapter 5 focuses on various ways in which that imputation was applied to fill in missing values of the baseline personal attribute scores and the difference in personal attribute scores. However, even after imputing the personal attribute data, neither the baseline personal attribute scores nor the difference in personal attribute scores were found to be statistically significant predictors of Continuation or Progression. Chapter 6 includes a summary of the results of this thesis and discusses the limitations and further work that could be implemented

    Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

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    SummaryBackground Azithromycin has been proposed as a treatment for COVID-19 on the basis of its immunomodulatoryactions. We aimed to evaluate the safety and efficacy of azithromycin in patients admitted to hospital with COVID-19.Methods In this randomised, controlled, open-label, adaptive platform trial (Randomised Evaluation of COVID-19Therapy [RECOVERY]), several possible treatments were compared with usual care in patients admitted to hospitalwith COVID-19 in the UK. The trial is underway at 176 hospitals in the UK. Eligible and consenting patients wererandomly allocated to either usual standard of care alone or usual standard of care plus azithromycin 500 mg once perday by mouth or intravenously for 10 days or until discharge (or allocation to one of the other RECOVERY treatmentgroups). Patients were assigned via web-based simple (unstratified) randomisation with allocation concealment andwere twice as likely to be randomly assigned to usual care than to any of the active treatment groups. Participants andlocal study staff were not masked to the allocated treatment, but all others involved in the trial were masked to theoutcome data during the trial. The primary outcome was 28-day all-cause mortality, assessed in the intention-to-treatpopulation. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936.Findings Between April 7 and Nov 27, 2020, of 16 442 patients enrolled in the RECOVERY trial, 9433 (57%) wereeligible and 7763 were included in the assessment of azithromycin. The mean age of these study participants was65·3 years (SD 15·7) and approximately a third were women (2944 [38%] of 7763). 2582 patients were randomlyallocated to receive azithromycin and 5181 patients were randomly allocated to usual care alone. Overall,561 (22%) patients allocated to azithromycin and 1162 (22%) patients allocated to usual care died within 28 days(rate ratio 0·97, 95% CI 0·87–1·07; p=0·50). No significant difference was seen in duration of hospital stay (median10 days [IQR 5 to >28] vs 11 days [5 to >28]) or the proportion of patients discharged from hospital alive within 28 days(rate ratio 1·04, 95% CI 0·98–1·10; p=0·19). Among those not on invasive mechanical ventilation at baseline, nosignificant difference was seen in the proportion meeting the composite endpoint of invasive mechanical ventilationor death (risk ratio 0·95, 95% CI 0·87–1·03; p=0·24).Interpretation In patients admitted to hospital with COVID-19, azithromycin did not improve survival or otherprespecified clinical outcomes. Azithromycin use in patients admitted to hospital with COVID-19 should be restrictedto patients in whom there is a clear antimicrobial indication

    Observation of gravitational waves from the coalescence of a 2.5−4.5 M⊙ compact object and a neutron star

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    Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

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    Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

    Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo

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    Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that were already identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total mass M>70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz orbital frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place an upper limit for the merger rate density of high-mass binaries with eccentricities 0<e≤0.3 at 0.33 Gpc−3 yr−1 at 90\% confidence level

    Ultralight vector dark matter search using data from the KAGRA O3GK run

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    Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

    Caractérisation des populations lymphocytaires Tab lors de maladies infectieuses (mise au point de nouvelles méthodes d'analyse des répertoires immunitaires)

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    PARIS-BIUSJ-Thèses (751052125) / SudocPARIS-BIUSJ-Physique recherche (751052113) / SudocSudocFranceF

    Eculizumab for the Treatment of Severe Antibody-Mediated Rejection: A Case Report and Review of the Literature

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    In renal transplantation, treatment options for antibody-mediated rejection are limited. Here, we report a case of severe AMR treated with eculizumab. A 50-year-old woman known for end stage kidney disease secondary to IgA nephropathy received a kidney transplant from a 50-year-old deceased donor. At 5 months after transplantation, she presented with acute graft dysfunction and biopsy showed a severe antibody-mediated rejection associated with thrombotic microangiopathy. Despite an aggressive conventional immunosuppressive regimen, signs of rejection persisted and the patient was treated with 3 doses of eculizumab. Following the therapy, markers of TMA improved and graft function stabilized. However, ongoing signs of rejection remained in the repeated biopsy. In kidney transplantation, eculizumab is an expensive treatment and its role in the treatment of antibody-mediated rejection remains to be determined

    Mechanisms of the natural reactivity of lymphocytes from noninfected individuals to membrane-associated Leishmania infantum antigens.

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    International audienceMembrane-associated Leishmania Ags (MLA) or soluble Leishmania Ags were used in vitro to stimulate cord blood or PBMC from healthy donors noninfected by Leishmania parasites. MLA, but not soluble Leishmania Ags, constantly induce strong proliferation of cord blood mononuclear cells and PBMC from noninfected individuals. Responding cells are CD3+, CD4+, TCRalphabeta+, CD45RO+, and CD45RA+ and secrete IFN-gamma and IL-10, but not IL-4. MLA do not activate NK cells nor NKT cells. Membrane Ags also induce purified macrophages from noninfected individuals to secrete IL-10 and TNF-alpha, but have no effect on IL-1alpha or IL-12 secretion. The effects of MLA are proteinase K-sensitive and resistant to lipid extraction. The lymphoproliferative responses are inhibited by anti-HLA-DR Abs and require Ag processing by APCs, excluding that the biological effect of MLA could be attributed to a superantigen. Finally, TCR repertoire analysis shows that the T cell expansion induced by MLA uses TCR with various variable beta segment rearrangements and CDR3 lengths, features much more characteristic to those observed with a polyclonal activator than with a conventional Ag. These results suggest a particular mechanism developed during the host's natural response to Leishmania parasites that allows direct activation of naive CD4 lymphocytes by parasite membrane-associated Ags

    Comparative Study of Brain CD8(+) T Cells Induced by Sporozoites and Those Induced by Blood-Stage Plasmodium berghei ANKA Involved in the Development of Cerebral Malaria

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    To obtain insight into the mechanisms that contribute to the pathogenesis of Plasmodium infections, we developed an improved rodent model that mimics human malaria closely by inducing cerebral malaria (CM) through sporozoite infection. We used this model to carry out a detailed study on isolated T cells recruited from the brains of mice during the development of CM. We compared several aspects of the immune response related to the experimental model of Plasmodium berghei ANKA infection induced by sporozoites in C57BL/6 mice and those related to a blood-stage infection. Our data show that in both models, oligoclonal TCRVβ4(+), TCRVβ6(+), TCRVβ8.1(+), and TCRVβ11(+) major histocompatibility complex class I-restricted CD8 T cells were present in the brains of CM(+) mice. These CD8(+) T cells display an activated phenotype, do not undergo apoptosis, secrete gamma interferon or tumor necrosis factor alpha, and are associated with the development of the neurological syndrome
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