4 research outputs found
Mechanical behavior of masonry strengthened with coir fiber reinforced hydraulic cement mortar as surface plaster
Use of Quarry Dust in the Binding Mortar and Its Effect on Mechanical Characteristics of Brick Masonry
The strength characteristics of masonry is greatly affected by the brick strength, mortar strength and bond between brick-mortar interface. Especially, binding mortar significantly affects the shear and flexural strength of the masonry. In conventional masonry construction, river sand or natural sand is mixed with cement and used as binding mortar. However, due scarcity of good quality river sand, the extensive focus is on finding alternative materials for river sand for construction purposes. Quarry dust is one of the best alternatives for river sand, which can be used as fine aggregates in binding mortar. This study investigates the strength characteristic of the masonry made of quarry dust incorporated binding mortar instead of conventional cement-sand mortar. The binding mortar with four different river sand replacement levels of 0%, 33.3%, 66.7% and 100% quarry dust, was used for construction masonry. Compression test, direct shear test and cross-couplet test were conducted to evaluate the strength characteristic. The test results revealed that compressive, shear and bond strength of masonry was improved with increased quarry dust content in the binding mortar.</jats:p
Highly efficient SARS-CoV-2 infection of human cardiomyocytes: spike protein-mediated cell fusion and its inhibition
AbstractSevere cardiovascular complications can occur in coronavirus disease of 2019 (COVID-19) patients. Cardiac damage is attributed mostly to a bystander effect: the aberrant host response to acute respiratory infection. However, direct infection of cardiac tissue by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) also occurs. We examined here the cardiac tropism of SARS-CoV-2 in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) that beat spontaneously. These cardiomyocytes express the angiotensin I converting-enzyme 2 (ACE2) receptor and a subset of the proteases that mediate spike protein cleavage in the lungs, but not transmembrane protease serine 2 (TMPRSS2). Nevertheless, SARS-CoV-2 infection was productive: viral transcripts accounted for about 88% of total mRNA. In the cytoplasm of infected hiPSC-CM, smooth walled exocytic vesicles contained numerous 65-90 nm particles with typical ribonucleocapsid structures, and virus-like particles with knob-like spikes covered the cell surface. To better understand the mechanisms of SARS-CoV-2 spread in hiPSC-CM we engineered an expression vector coding for the spike protein with a monomeric emerald-green fluorescent protein fused to its cytoplasmic tail (S-mEm). Proteolytic processing of S-mEm and the parental spike were equivalent. Live cell imaging tracked spread of S-mEm signal from cell to cell and documented formation of syncytia. A cell-permeable, peptide-based molecule that blocks the catalytic site of furin abolished cell fusion. A spike mutant with the single amino acid change R682S that inactivates the furin cleavage site was fusion inactive. Thus, SARS-CoV-2 can replicate efficiently in hiPSC-CM and furin activation of its spike protein is required for fusion-based cytopathology. This hiPSC-CM platform provides an opportunity for target-based drug discovery in cardiac COVID-19.Author SummaryIt is unclear whether the cardiac complications frequently observed in COVID-19 patients are due exclusively to systemic inflammation and thrombosis. Viral replication has occasionally been confirmed in cardiac tissue, but rigorous analyses are restricted to rare autopsy materials. Moreover, there are few animal models to study cardiovascular complications of coronavirus infections. To overcome these limitations, we developed an in vitro model of SARS-CoV-2 spread in induced pluripotent stem cell-derived cardiomyocytes. In these cells, infection is highly productive: viral transcription levels exceed those documented in permissive transformed cell lines. To better understand the mechanisms of SARS-CoV-2 spread we expressed a fluorescent version of its spike protein that allowed to characterize a fusion-based cytopathic effect. A mutant of the spike protein with a single amino acid mutation in the furin cleavage site lost cytopathic function. The spike protein of the Middle East Respiratory Syndrome (MERS) coronavirus drove cardiomyocyte fusion with slow kinetics, whereas the spike proteins of SARS-CoV and the respiratory coronavirus 229E were inactive. These fusion activities correlated with the level of cardiovascular complications observed in infections with the respective viruses. These data indicate that SARS-CoV-2 has the potential to cause cardiac damage by fusing cardiomyocytes.</jats:sec
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
Abstract
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.</jats:p
