Factors Associated With Infant Death After Apparent Life-threatening Event (alte)

Objective: To detect factors associated with greater risk of death in infants after an apparent life-threatening event (ALTE). Methods: This cross-sectional, retrospective, descriptive and analytic study evaluated infants younger than 12 months who had a sudden event of cyanosis, pallor, hypotonia or apnea and were seen in the emergency department of a tertiary university hospital. Forward stepwise logistic regression (Wald) was used to calculate and adjust odds ratios to evaluate associations. Results: Mean age of the 145 patients included in the study was 105 days (median = 65 days). Eleven (7.6%) died, and their mean age was 189 days (median = 218 days). Mean age of survivors was 98 days (median = 62 days) (p = 0.003). Activity before the event, prematurity and number of events were not associated with death. A significant association was found with pallor. Of the 11 infants, 3 had spontaneous resolution of ALTE, whereas 8 patients [27.6%; p < 0.001; OR = 14.3 (95%CI 3.51-58.3)] did not. The associations with respiratory or cardiovascular disease were also significant. In multivariate analysis, immediate spontaneous resolution [p = 0.015; OR = 6.06 (95%CI 1.02-35.94)] and diagnosis of cardiovascular disease [p = 0.047; OR = 164.27 (95%CI 7.34-3.673.78)] remained statistically significant. Conclusion: Infants who experienced an ALTE had a higher risk of subsequent death when their age was greater than 6 months and the event had a long duration, particularly when ALTE was associated with cardiovascular disease. 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Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function

Motivation: Protein function prediction is a difficult bioinformatics problem. Many recent methods use deep neural networks to learn complex sequence representations and predict function from these. Deep supervised models require a lot of labeled training data which are not available for this task. However, a very large amount of protein sequences without functional labels is available.Results: We applied an existing deep sequence model that had been pretrained in an unsupervised setting on the supervised task of protein molecular function prediction. We found that this complex feature representation is effective for this task, outperforming hand-crafted features such as one-hot encoding of amino acids, k-mer counts, secondary structure and backbone angles. Also, it partly negates the need for complex prediction models, as a two-layer perceptron was enough to achieve competitive performance in the third Critical Assessment of Functional Annotation benchmark. We also show that combining this sequence representation with protein 3D structure information does not lead to performance improvement, hinting that 3D structure is also potentially learned during the unsupervised pretraining

Spatial Solitons and Anderson Localization

Stochastic (Anderson) localization is the spatial localization of the wave-function of quantum particles in random media. We show, that a corresponding phenomenon can stabilize spatial solitons in optical resonators: spatial solitons in resonators with randomly distorted mirrors are more stable than in perfect mirror resonators. We demonstrate the phenomenon numerically, by investigating solitons in lasers with saturable absorber, and analytically by deriving and analyzing coupled equations of spatially coherent and incoherent field components.Comment: submitted to Phys.Rev.

Burden and risk factors for Pseudomonas aeruginosa community-acquired pneumonia:a Multinational Point Prevalence Study of Hospitalised Patients

Pseudornonas aeruginosa is a challenging bacterium to treat due to its intrinsic resistance to the antibiotics used most frequently in patients with community-acquired pneumonia (CAP). Data about the global burden and risk factors associated with P. aeruginosa-CAP are limited. We assessed the multinational burden and specific risk factors associated with P. aeruginosa-CAP. We enrolled 3193 patients in 54 countries with confirmed diagnosis of CAP who underwent microbiological testing at admission. Prevalence was calculated according to the identification of P. aeruginosa. Logistic regression analysis was used to identify risk factors for antibiotic-susceptible and antibiotic-resistant P. aeruginosa-CAP. The prevalence of P. aeruginosa and antibiotic-resistant P. aeruginosa-CAP was 4.2% and 2.0%, respectively. The rate of P. aeruginosa CAP in patients with prior infection/colonisation due to P. aeruginosa and at least one of the three independently associated chronic lung diseases (i.e. tracheostomy, bronchiectasis and/or very severe chronic obstructive pulmonary disease) was 67%. In contrast, the rate of P. aeruginosa-CAP was 2% in patients without prior P. aeruginosa infection/colonisation and none of the selected chronic lung diseases. The multinational prevalence of P. aeruginosa-CAP is low. The risk factors identified in this study may guide healthcare professionals in deciding empirical antibiotic coverage for CAP patients

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Helium identification with LHCb

The identification of helium nuclei at LHCb is achieved using a method based on measurements of ionisation losses in the silicon sensors and timing measurements in the Outer Tracker drift tubes. The background from photon conversions is reduced using the RICH detectors and an isolation requirement. The method is developed using pp collision data at √(s) = 13 TeV recorded by the LHCb experiment in the years 2016 to 2018, corresponding to an integrated luminosity of 5.5 fb-1. A total of around 105 helium and antihelium candidates are identified with negligible background contamination. The helium identification efficiency is estimated to be approximately 50% with a corresponding background rejection rate of up to O(10^12). These results demonstrate the feasibility of a rich programme of measurements of QCD and astrophysics interest involving light nuclei

Momentum scale calibration of the LHCb spectrometer

For accurate determination of particle masses accurate knowledge of the momentum scale of the detectors is crucial. The procedure used to calibrate the momentum scale of the LHCb spectrometer is described and illustrated using the performance obtained with an integrated luminosity of 1.6 fb-1 collected during 2016 in pp running. The procedure uses large samples of J/ψ → μ + μ - and B+ → J/ψ K + decays and leads to a relative accuracy of 3 × 10-4 on the momentum scale

Curvature-bias corrections using a pseudomass method

Momentum measurements for very high momentum charged particles, such as muons from electroweak vector boson decays, are particularly susceptible to charge-dependent curvature biases that arise from misalignments of tracking detectors. Low momentum charged particles used in alignment procedures have limited sensitivity to coherent displacements of such detectors, and therefore are unable to fully constrain these misalignments to the precision necessary for studies of electroweak physics. Additional approaches are therefore required to understand and correct for these effects. In this paper the curvature biases present at the LHCb detector are studied using the pseudomass method in proton-proton collision data recorded at centre of mass energy √(s)=13 TeV during 2016, 2017 and 2018. The biases are determined using Z→μ + μ - decays in intervals defined by the data-taking period, magnet polarity and muon direction. Correcting for these biases, which are typically at the 10-4 GeV-1 level, improves the Z→μ + μ - mass resolution by roughly 18% and eliminates several pathological trends in the kinematic-dependence of the mean dimuon invariant mass

Secular Trends Of Growth Of Schoolchildren From Paulínia, São Paulo-brazil (1979/80 - 1993/94) [tendência Secular De Crescimento Em Escolares De Paulínia, São Paulo-brasil (1979/80 - 1993/94).]

BACKGROUND: The purpose of this study was to evaluate the secular trends in height, weight and weight/height of schoolchildren from the city of Paulínia, São Paulo, Brazil between 1979/80 and 1993/94. METHODS: Anthropometric measurements (height, weight and weight/height) of 1,903 children (6.5-12.5 y); 51.5% M: 48.5% F, from Paulínia public schools were compared with data from a previous study carried out in the same city 15 years earlier. Decade increments were calculated and data was smoothed by the technique of means and medians (3H3H3). RESULTS: Height and weight mean values were always greater than those of the previous study, with positive increments. Height increments ranged from 1.13 to 5.0 cm in boys and from 1.2 to 4.33 cm in girls. Weight increments ranged from 0.53 to 4.13 kg in males and from 0.87 to 3.0 kg in females. In the two studies, weight/height means were very similar for both genders. CONCLUSIONS: Increments in height and weight during this period are an indicator of development on the economical and health levels. A positive secular trend was also observed in developed countries after the 2nd World War and in the Brazilian people.50438639