1,427 research outputs found

    ECG Signal Super-resolution by Considering Reconstruction and Cardiac Arrhythmias Classification Loss

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    With recent advances in deep learning algorithms, computer-assisted healthcare services have rapidly grown, especially for those that combine with mobile devices. Such a combination enables wearable and portable services for continuous measurements and facilitates real-time disease alarm based on physiological signals, e.g., cardiac arrhythmias (CAs) from electrocardiography (ECG). However, long-term and continuous monitoring confronts challenges arising from limitations of batteries, and the transmission bandwidth of devices. Therefore, identifying an effective way to improve ECG data transmission and storage efficiency has become an emerging topic. In this study, we proposed a deep-learning-based ECG signal super-resolution framework (termed ESRNet) to recover compressed ECG signals by considering the joint effect of signal reconstruction and CA classification accuracies. In our experiments, we downsampled the ECG signals from the CPSC 2018 dataset and subsequently evaluated the super-resolution performance by both reconstruction errors and classification accuracies. Experimental results showed that the proposed ESRNet framework can well reconstruct ECG signals from the 10-times compressed ones. Moreover, approximately half of the CA recognition accuracies were maintained within the ECG signals recovered by the ESRNet. The promising results confirm that the proposed ESRNet framework can be suitably used as a front-end process to reconstruct compressed ECG signals in real-world CA recognition scenarios

    Relationship of teicoplanin MICs to treatment failure in teicoplanin-treated patients with methicillin-resistant Staphylococcus aureus pneumonia

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    Background/PurposeThe objective of this study was to determine the predictive value of teicoplanin minimal inhibitory concentrations (MICs) for treatment failure among patients with methicillin-resistant Staphylococcus aureus (MRSA) pneumonia.MethodsIn this study, all patients with ≥1 tracheal aspirates or sputum cultures positive for MRSA admitted to the hospital between April 2011 and September 2011 were reviewed. We enrolled patients who are ≥18 years of age, with a diagnosis of pneumonia, and with a receipt of teicoplanin therapy throughout the course. The relationship between teicoplanin Etest MICs and treatment outcomes of MRSA pneumonia was analyzed to identify the breakpoint of teicoplanin MICs influencing treatment outcomes.ResultsOf the 80 patients enrolled, 31 had a lower teicoplanin MIC level (<2.0 mg/L) and 49 had a higher MIC level (≥2.0 mg/L) for MRSA. The lower MIC group had a higher clinical resolution rate in 14 days [24 (77.4%) vs. 23 (46.9%), p = 0.007] and a lower treatment failure rate at the end of teicoplanin treatment [4 (12.9%) vs. 18 (36.7%), p = 0.020]. A comparison between the treatment success and failure groups showed that the former had a longer duration of teicoplanin use (18.76 ± 10.34vs.12.41 ± 5.65 days; p = 0.014). Results of a multivariate analysis showed that teicoplanin MICs ≥ 2.0 mg/Land shorter duration of teicoplanin therapy were independent risk factors for treatment failure.ConclusionA higher teicoplanin MIC value (≥2.0 mg/L) may predict the treatment failure among patients with teicoplanin-treated MRSA pneumonia

    Tabernacles of the Spirit

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    In the classic tradition of the exploratory essay, George Gammack examines the theme of community in this paper. He details varied aspects of the creation of community among those who are retired, taking as its focus the Men’s Sheds movement. The paper explores the relationship between persons and community in later years, looking in particular at how those with a lifetime’s worth of skills and knowledge can continue to contribute to the life of a community. Along the way we are introduced to the work of authors such as Charles Taylor, Richard Niebuhr, Primo Levi, Seamus Heaney and Richard Sennett on the subject of work and what comes after it.Publisher PD

    X-linked hyper-IgM syndrome with CD40LG mutation: Two case reports and literature review in Taiwanese patients

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    Hyper-IgM syndrome (HIGM) is a rare primary immunodeficiency disorder characterized by elevated or normal serum IgM and decreased IgG, IgA, and IgE due to defective immunoglobulin class switching. X-linked HIGM (XHIGM, HIGM1) is the most frequent type, is caused by mutations in the CD40 ligand gene, and is regarded as a combined T and B immunodeficiency. We report an 18-year-old male who was diagnosed initially with hypogammaglobulinemia in infancy, but developed repeated pneumonia, sepsis, cellulitis, perianal abscess, pericarditis, and bronchiectasis despite regular intravenous immunoglobulin replacement therapy. The patient died at age 18 years due to pneumonia and tension pneumothorax. Mutation analysis revealed CD40L gene mutation within Exon 5 at nucleotide position 476 (cDNA 476G > A). This nonsense mutation predicted a tryptophan codon (TGG) change to a stop codon (TGA) at position 140 (W140X), preventing CD40L protein expression. Sequence analysis in the family confirmed a de novo mutation. The second case of 6-month-old male infant presented as Pneumocystis jiroveci pneumonia and acute respiratory distress syndrome. Gene analysis of the CD40L gene revealed G to C substitution in Intron 4 (c.409 + 5G > C) and mother was a carrier. Hematopoietic stem cell transplantation, the only cure for XHIGM, was arranged in the second case

    Fucoidan Inhibits the Proliferation of Leiomyoma Cells and Decreases Extracellular Matrix-Associated Protein Expression

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    Background/Aims: Uterine leiomyomas (ULs) are benign uterine tumors, and the most notable pathophysiologic feature of ULs is excessive accumulation of extracellular matrix (ECM). Fucoidan is a polysaccharide extracted from brown seaweeds that has a wide range of pharmacological properties, including anti-fibrotic effects. We aimed to study the effect of fucoidan on the growth of ULs activated by transforming growth factor beta (TGFβ). Methods: We used ELT-3 (Eker rat leiomyoma tumor-derived cells) and HUtSMC (human uterine smooth muscle cells) as in vitro models. Cell viability was determined by the MTT assay. Cell colony formation was stained using crystal violet. The side population, cell cycle and apoptosis were analyzed using flow cytometry. Protein expression was assayed by western blot analysis. We also conducted in vivo experiments to confirm the inhibitory effects of fucoidan in nude mouse xenograft models. Tumor tissues were assayed by immunohistochemistry analysis. Results: In our study, fucoidan caused a 50% growth inhibition using a dose of 0.5 mg/ml and decreased the stem cell activity after 48 h. In addition, fucoidan induced sub-G1 cell cycle arrest and apoptosis. Fucoidan down-regulated fibronectin, vimentin, α-SMA and the COL1A1 protein levels in TGFβ3-induced ELT-3 cells. In the cellular mechanism, fucoidan abrogated TGFβ3-induced levels of p-Smad2 and p-ERK1/2, as well as β-catenin translocation into the nucleus. Furthermore, fucoidan suppressed xenograft tumor growth in vivo. Conclusion: Fucoidan displays anti-proliferation and anti-fibrotic effects and exerts protective effects against ULs development
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