Danish job advertisements: Increasing in complexity

Although job advertisements have developed to incorporate an important array of functions, they are not well understood and there has been little documentation of evolution in the genre (Rafaeli & Oliver; 1998, 342). The purpose of this article is to address this gap by analysing changes in the genre over time, in this way revealing the background for current practice. Examples of Danish job advertisements for communication positions from 1961, 1991 and 2011 are analysed using Critical Discourse Analysis, and a rich format for job advertisements is developed on the basis of the findings of the analysis and existing theory. The results are likely to be of interest to producers of job advertisements who want a broader knowledge of how this genre with its increasingly complex functionality has evolved and for whom genre features of contemporary job advertising practice is relevant.

Xylosylation Is an Endoplasmic Reticulum to Golgi Event

The subcellular site of xylosylation, the first carbohydrate modification of the core protein that initiates glycosaminoglycan chain synthesis, was characterized in situ. Methods were developed to combine electron microscopic (EM) autoradiography and the radiolabeling of semi-intact chondrocytes. In the accompanying paper, Kearns et al. (Kearns, A. E., Vertel, B. M., and Schwartz, N. B. (1993) J. Biol. Chem. 268, 11097-11104) presented biochemical and subcellular fractionation studies that utilized semi-intact chondrocytes and radiolabeled UDP sugars to overcome obstacles to the direct analysis of xylosylation. The results suggested that xylosylation begins in the endoplasmic reticulum (ER) and continues in the Golgi. The site of xylosylation was not specified further due to the limitations of subcellular fractionation techniques. The studies described in this report were undertaken to localize these modifications directly in situ. Semi-intact cell preparations were optimized for ultrastructural preservation by modifications of permeabilization methods utilizing nitrocellulose filter overlays. Biochemical analysis demonstrated the exclusive incorporation of UDP-xylose into the cartilage chondroitin sulfate proteoglycan (aggrecan) core protein and 3‘-phosphoadenosine 5‘-phosphosulfate (PAPS) into the highly modified proteoglycan monomer. Immunolocalization studies showed the equivalence of cytoplasmic subcompartments in normal and semi-intact chondrocytes at the levels of light and electron microscopy. Once the biochemical and morphological equivalence of intact and semi-intact cells was established, EM autoradiographic studies were pursued using UDP-[3H]xylose and [35S]PAPS. Based on both qualitative and quantitative data, silver grains resulting from incorporated sulfate were concentrated in the perinuclear Golgi, while those resulting from incorporated xylose were found at the cis or forming face of the Golgi and in vesicular regions of the peripheral cytoplasm associated with the late ER. These data support the view that xylose addition begins in a late ER compartment and continues in intermediate compartments, perhaps including the cis-Golgi

Risk Factors for Extubation Failure following Neonatal Cardiac Surgery

Objective: Extubation failure after neonatal cardiac surgery has been associated with considerable postoperative morbidity, although data identifying risk factors for its occurrence are sparse. We aimed to determine risk factors for extubation failure in our neonatal cardiac surgical population. Design: Retrospective chart review. Setting: Urban tertiary care free-standing children’s hospital. Patients: Neonates (0–30 d) who underwent cardiac surgery at our institution between January 2009 and December 2012 was performed. Interventions: Extubation failure was defined as reintubation within 72 hours after extubation from mechanical ventilation. Multivariate logistic regression analysis was performed to determine independent risk factors for extubation failure. Measurements and Main Results: We included 120 neonates, of whom 21 (17.5%) experienced extubation failure. On univariate analysis, patients who failed extubation were more likely to have genetic abnormalities (24% vs 6%; p = 0.023), hypoplastic left heart (43% vs 17%; p = 0.009), delayed sternal closure (38% vs 12%; p = 0.004), postoperative infection prior to extubation (38% vs 11%; p = 0.002), and longer duration of mechanical ventilation (median, 142 vs 58 hr; p = 0.009]. On multivariate analysis, genetic abnormalities, hypoplastic left heart, and postoperative infection remained independently associated with extubation failure. Furthermore, patients with infection who failed extubation tended to receive fewer days of antibiotics prior to their first extubation attempt when compared with patients with infection who did not fail extubation (4.9 ± 2.6 vs 7.3 ± 3; p = 0.073). Conclusions: Neonates with underlying genetic abnormalities, hypoplastic left heart, or postoperative infection were at increased risk for extubation failure. A more conservative approach in these patients, including longer pre-extubation duration of antibiotic therapy for postoperative infections, may be warranted

Written submission from the School of Law, Politics and Sociology, University of Sussex (OEU0007)to the Women and equalities Committee inquiry: ensuring strong equalities legislation after EU exit

Undoubtedly, the UK’s equalities legislation has become stronger in recent years providing important protection for people who experience discrimination. Nevertheless, this has happened in the context of widening economic inequality, cuts in public services and restrictions on access to justice – all of which make it harder for victims of discrimination to realise the rights that exist on paper. If the UK leaves the EU, the next few years will be a period of great political, economic and social instability when it will be vital to ensure that protection against discrimination is strengthened not weakened and that a culture of support for equality and human rights is promoted throughout the UK. The rights that must be protected benefit everyone in the UK, not only supporting marginalised people and victims of discrimination but also making workplaces fairer for all and underpinning the legitimacy of our democratic institutions

Topological Deep Learning: Going Beyond Graph Data

Topological deep learning is a rapidly growing field that pertains to the development of deep learning models for data supported on topological domains such as simplicial complexes, cell complexes, and hypergraphs, which generalize many domains encountered in scientific computations. In this paper, we present a unifying deep learning framework built upon a richer data structure that includes widely adopted topological domains. Specifically, we first introduce combinatorial complexes, a novel type of topological domain. Combinatorial complexes can be seen as generalizations of graphs that maintain certain desirable properties. Similar to hypergraphs, combinatorial complexes impose no constraints on the set of relations. In addition, combinatorial complexes permit the construction of hierarchical higher-order relations, analogous to those found in simplicial and cell complexes. Thus, combinatorial complexes generalize and combine useful traits of both hypergraphs and cell complexes, which have emerged as two promising abstractions that facilitate the generalization of graph neural networks to topological spaces. Second, building upon combinatorial complexes and their rich combinatorial and algebraic structure, we develop a general class of message-passing combinatorial complex neural networks (CCNNs), focusing primarily on attention-based CCNNs. We characterize permutation and orientation equivariances of CCNNs, and discuss pooling and unpooling operations within CCNNs in detail. Third, we evaluate the performance of CCNNs on tasks related to mesh shape analysis and graph learning. Our experiments demonstrate that CCNNs have competitive performance as compared to state-of-the-art deep learning models specifically tailored to the same tasks. Our findings demonstrate the advantages of incorporating higher-order relations into deep learning models in different applications

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

Determinants of social media adoption by B2B organizations

This study contributes to the current dearth of knowledge on the potential of social media as a marketing tool in industrial settings, by focusing on factors that determine social media adoption by B2B organizations. A conceptual model, which draws on the technology acceptance model and resource-based theory, is developed and tested using quantitative data from B2B organizations in the UK. Findings suggest that perceived usefulness of social media within B2B organizational contexts is determined by image, perceived ease of use and perceived barriers. Additionally, the results show that adoption of social media is significantly affected by organizational innovativeness and perceived usefulness. The moderating role of organizational innovativeness is also tested but no support is found. The findings of the study are further validated via nine qualitative interviews with B2B senior managers, yielding additional interesting and in-depth insights into the drivers of social media adoption by B2B organizations

Global patterns of nitrate isotope composition in rivers and adjacent aquifers reveal reactive nitrogen cascading

Remediation of nitrate pollution of Earth’s rivers and aquifers is hampered by cumulative biogeochemical processes and nitrogen sources. Isotopes (δ15N, δ18O) help unravel spatiotemporal nitrogen(N)-cycling of aquatic nitrate (NO3−). We synthesized nitrate isotope data (n = ~5200) for global rivers and shallow aquifers for common patterns and processes. Rivers had lower median NO3− (0.3 ± 0.2 mg L−1, n = 2902) compared to aquifers (5.5 ± 5.1 mg L−1, n = 2291) and slightly lower δ15N values (+7.1 ± 3.8‰, n = 2902 vs +7.7 ± 4.5‰, n = 2291), but were indistinguishable in δ18O (+2.3 ± 6.2‰, n = 2790 vs +2.3 ± 5.4‰, n = 2235). The isotope composition of NO3− was correlated with water temperature revealing enhanced N-cascading in warmer climates. Seasonal analyses revealed higher δ15N and δ18O values in wintertime, suggesting waste-related N-source signals are better preserved in the cold seasons. Isotopic assays of nitrate biogeochemical transformations are key to understanding nitrate pollution and to inform beneficial agricultural and land management strategies

Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification