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During major epidemic outbreaks, demand for health care workers grows even as the extreme pressures they face cause declining availability. We draw on Taiwan’s SARS experience to argue that a modified form of Traffic Control Bundling protects health care worker safety and by extension strengthens overall COVID-19 epidemic control. © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail [email protected] developed a remote continuous air monitoring (RCAM) system. The RCAM system consisted of a personal air monitor and a robot. The personal air monitor (poCAMon, SARAD, Germany) had a 400-mm2 ion-injected silicon detector and a membrane air filter with 25 mmφ. The personal air monitor provides the alpha energy spectra for any measurement time interval. Demonstration measurements were taken underground at the Mizunami Underground Research Laboratory and at a poorly ventilated concrete building. The RCAM system was remotely operated and successfully measured the 222Rn progeny even though the relative humidity was almost 100%. In the measured alpha spectra, the peaks of 218Po (6.0-MeV alpha) and 214Po (7.7-MeV alpha) were clearly identified. Our developed monitor is promising for alpha dust monitoring in a high gamma-ray environment or contaminated areas where a worker cannot safely physically enter. © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email [email protected] bodies are colonized by many microorganisms which can provide indispensable services to their hosts. Although nematode gut microbiota has been extensively studied in recent years, the driving factors of gut microbiome of soil nematodes from a long-term fertilization field are unclear. Here, using 16S rRNA gene amplicon sequencing, we explored the nematode gut microbiota under different fertilization patterns (control, inorganic fertilizers and mixed fertilizers) and fertilization durations (5 y, 8 y and 10 y). MC3 Our results revealed that nematode gut microbiota was dominated by core bacterial taxa AF502208 (anaerobic bacteria), Enterobacter (plant litter decomposition) and Ancylobacter (organic matter decomposition and nitrogen cycling), significantly distinct from soil microbiome, and the assembly of that was a non-random process, which suggested host conditions contributed to maintaining the gut microbiota. Moreover, fertilization pattern had a greater influence on nematode gut microbiome than fertilization duration. Inorganic fertilization (5.19) significantly reduced the diversity of the nematode gut microbiota (6.68) shown by Shannon index (P less then  0.05). Canonical correspondence analysis demonstrates that soil properties such as pH, organic matter, total phosphorus, available phosphorus, ammonium nitrogen, moisture content, nitrate nitrogen and total nitrogen have significant effects on the nematode microbiome. Structured equation models further revealed that fertilization could obviously affect the nematode gut microbiota, and the effects were maintained even when accounting simultaneously for the drivers of soil bacteria and soil properties. This study provides a solid evidence that the shifting of nematode gut microbiota under long-term fertilization was resulted from environmental factors and host conditions, and advance the insights into host-microbiome in the agricultural ecosystems. © FEMS 2020.BACKGROUND Emerging data suggest that a subset of patients with diffuse IDH-mutant low-grade glioma (LGG) who receive adjuvant temozolomide (TMZ) recur with hypermutation in association with malignant progression to higher-grade tumors. It is currently unclear why some TMZ-treated LGG patients recur with hypermutation while others do not. MGMT encodes O6-methylguanine-DNA methyltransferase, a DNA repair protein that removes cytotoxic and potentially mutagenic lesions induced by TMZ. Here, we hypothesize that epigenetic silencing of MGMT by promoter methylation facilitates TMZ-induced mutagenesis in LGG patients and contributes to development of hypermutation at recurrence. METHODS We utilize a quantitative deep sequencing assay to characterize MGMT promoter methylation in 109 surgical tissue specimens from initial tumors and post-treatment recurrences of 37 TMZ-treated LGG patients. We utilize methylation arrays to validate our sequencing assay, RNA sequencing to assess the relationship between methylation and gene expression, and exome sequencing to determine hypermutation status. RESULTS Methylation level at the MGMT promoter is significantly higher in initial tumors of patients that develop hypermutation at recurrence relative to initial tumors of patients that do not (45.7% v. 34.8%, p = 0.027). Methylation level in initial tumors can predict hypermutation at recurrence in univariate models and multivariate models that incorporate patient age and molecular subtype. CONCLUSIONS These findings reveal a mechanistic basis for observed differences in patient susceptibility to TMZ-driven hypermutation. Furthermore, they establish MGMT promoter methylation level as a potential biomarker to inform clinical management of LGG patients, including monitoring and treatment decisions, by predicting risk of hypermutation at recurrence. © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail [email protected] To identify predictors of readmission to outpatient treatment for alcohol use disorder (AUD) with a view to identifying underlying mechanisms for preventing relapse. METHODS A consecutive clinical cohort of 2130 AUD outpatients treated between 1 January 2006 and 1 June 2016 was studied. Data were collected by means of the Addiction Severity Index upon treatment entry and at discharge. Outcome measures were readmission to outpatient treatment and time to readmission. Potential predictors were tested for significance using Cox Proportional Hazards multivariate analysis. RESULTS A total of 22% were readmitted during the follow-up time. Patients readmitted within 1 year of treatment conclusion differed significantly from those not readmitted on age, cohabitation status and completion status of index treatment. Significant predictors of readmission during follow-up time were younger age (hazard ratio (HR) = 0.99, 95% confidence interval (CI), 0.98-1.00), history of psychiatric illness (HR = 1.24, 95% CI, 1.02-1.