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Entity relation extraction is one of the fundamental tasks in biomedical text mining, which is usually solved by the models from natural language processing (NLP). Compared with traditional pipeline methods, joint methods can avoid the error propagation from entity to relation, giving better performances. However, the existing joint models are built upon sequential scheme, and fail to detect overlapping entity and relation, which are ubiquitous in biomedical texts. The main reason is that sequential models have relatively weaker power in capturing long-range dependencies, which results in lower performance in encoding longer sentences. In this paper, we propose a novel span-graph neural model for jointly extracting overlapping entity relation in biomedical texts. Our model treats the task as relation triplets prediction, and builds the entity-graph by enumerating possible candidate entity spans. The proposed model captures the relationship between the correlated entities via a span scorer and a relation scoapturing the long-range dependencies for relation extraction compared with the sequential models.

It is unclear whether night-time noise events, including from aeroplanes, could trigger a cardiovascular death. In this study, we investigate the potential acute effects of aircraft noise on mortality and the specific role of different night-time exposure windows by means of a case-crossover study design.

We selected 24886 cases of death from cardiovascular disease (CVD) from the Swiss National Cohort around Zürich Airport between 2000 and 2015. For night-time deaths, exposure levels 2 h preceding death were significantly associated with mortality for all causes of CVD [OR = 1.44 (1.03-2.04) for the highest exposure group (LAeq > 50 dB vs. <20 dB)]. Most consistent associations were observed for ischaemic heart diseases, myocardial infarction, heart failure, and arrhythmia. Association were more pronounced for females (P = 0.02) and for people living in areas with low road and railway background noise (P = 0.01) and in buildings constructed before 1970 (P = 0.36). We calculated a population attributable fraction of 3% in our study population.

Our findings suggest that night-time aircraft noise can trigger acute cardiovascular mortality. The association was similar to that previously observed for long-term aircraft noise exposure.

Our findings suggest that night-time aircraft noise can trigger acute cardiovascular mortality. The association was similar to that previously observed for long-term aircraft noise exposure.Coronavirus Disease-19 (COVID-19) outbreak has significantly burdened healthcare systems worldwide, leading to reorganization of healthcare services and reallocation of resources. The Italian Society for Study of Esophageal Diseases (SISME) conducted a national survey to evaluate changes in esophageal cancer management in a region severely struck by COVID-19 pandemic. A web-based questionnaire (26 items) was sent to 12 SISME units. Short-term outcomes of esophageal resections performed during the lockdown were compared with those achieved in the same period of 2019. Six (50%) centers had significant restrictions in their activity. However, overall number of resections did not decrease compared to 2019, while a higher rate of open esophageal resections was observed (40 vs. 21.7%; P = 0.034). Surgery was delayed in 24 (36.9%) patients in 6 (50%) centers, mostly due to shortage of anesthesiologists, and occupation of intensive care unit beds from intubated COVID-19 patients. Indications for neoadjuvant chemo (radio) therapy were extended in 14% of patients. Separate COVID-19 hospital pathways were active in 11 (91.7%) units. COVID-19 screening protocols included nasopharyngeal swab in 91.7%, chest computed tomography scan in 8.3% and selective use of lung ultrasound in 75% of units. learn more Postoperative interstitial pneumonia occurred in 1 (1.5%) patient. Recovery from COVID-19 pandemic was characterized by screening of patients in all units, and follow-up outpatient visits in only 33% of units. This survey shows that clinical strategies differed considerably among the 12 SISME centers. Evidence-based guidelines are needed to support the surgical esophageal community and to standardize clinical practice in case of further pandemics.Helicobacter pylori is the strongest risk factor for gastric adenocarcinoma. The H. pylori cancer-associated cag pathogenicity island (cag-PAI) encodes a type IV secretion system (T4SS) which translocates microbial DNA and activates TLR9; however, most cag-PAI + infected persons do not develop cancer and cag-PAI-independent regulators of pathogenesis, including strain-specific adhesins, remain understudied. We defined the relationships between H. pylori HopQ adhesin allelic type, gastric injury, and TLR9 activation. Type I hopQ alleles were significantly associated with magnitude of injury, cag-T4SS function, and TLR9 activation. Genetic deletion of hopQ significantly decreased H. pylori-induced TLR9 activation, implicating this adhesin in H. pylori-mediated disease.Chemotherapy resistance is still a key hurdle in current hepatocellular carcinoma (HCC) treatment. Therefore, clarifying the molecular mechanisms contributing to this acquired resistance is urgent for the effective treatment of liver cancer. In this research, we observed that lncRNA FAM225A expression is dramatically upregulated not only in hepatocellular carcinoma tissues and cell lines but also in sorafenib-resistant HepG2/SOR cells. Moreover, FAM225A knockdown significantly weakened HepG2/SOR cells resistance to sorafenib treatment by MTT (3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay. Similar results were obtained from the tumor xenograft model in mice. Further mechanistic researches revealed that the direct interaction between FAM225A and miR-130a-5p, while miR-130a-5p negatively modulated CCNG1 expression by targeting 3’UTR of CCNG1. MiR-130a-5p inhibition or CCNG1 overexpression could partially offset FAM225A knockdown-induced increased viability of HepG2/SOR cells in response to sorafenib challenge.