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The PacBio HiFi sequencing technology combines less accurate, multi-read passes from the same molecule (subreads) to yield consensus sequencing reads that are both long (averaging 10-25 kb) and highly accurate. However, these reads can retain residual sequencing error, predominantly insertions or deletions at homopolymeric regions. Here, we train deep learning models to polish HiFi reads by recognizing and correcting sequencing errors. We show that our models are effective at reducing these errors by 25-40% in HiFi reads from human as well as E. coli genomes.

This paper presents experimental results of both fiber Bragg grating point-sensors and spatially-distributed fiber sensors fabricated by the ultrafast laser for high-temperature radiation environments for both fossil fuel and nuclear energy applications. Using point-by-point fabrication, the ultrafast laser was used to fabricate enhanced Rayleigh scattering profiles in radiation hardened fibers for distributed sensing. Using a phase mask approach, fiber Bragg grating sensors were produced for point temperature measurements. Both distributed fiber sensors and fiber Bragg grating sensors were used to perform real-time temperature profile measurements during operations of solid oxide fuel cells and during operation of a 6 MW nuclear research reactor. Test results presented in this paper demonstrated that both sensors can survive harsh environments of high temperatures to perform temperature profile measurements with high spatial resolutions., 11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019, February 9-14, 2019, Orlando, USA

Objective To conduct a systematic review and meta-analysis of published evidence on ethnic or racial disparities in the outpatient use versus non-use of antipsychotics and in the outpatient use of newer versus older antipsychotics. Method Electronic databases were searched for potentially relevant studies. Two independent reviewers conducted the review in three stages: title review, abstract review and full-text review. Included studies were those that: (a) report measures of disparity in the outpatient use of antipsychotic drugs in clearly defined racial or ethnic groups (b) have a primary focus on ethnic or racial disparities, and (c) have adjusted for factors known to influence medicine use. Odds ratios were pooled following the inverse-variance method of weighting effect sizes. I2 statistics were calculated to quantify the amount of variation that is likely due to heterogeneity between studies. Funnel plots were produced and Egger’s statistic was calculated to assess potential publication bias. Results No significant differences were found in the odds of using any antipsychotics among African Americans (OR = 1.01, CI = 0.99–1.02) compared with non-African Americans and among Latinos (OR = 0.98, CI = 0.86–1.13) compared with non-Latinos. Small to moderate but statistically non-significant disparities were also noted in other ethnic groups: Asians (OR = 1.10, CI = 0.88–1.36), Maoris (OR = 0.78, CI = 0.53–1.13) and Pacific Islanders (OR = 0.97, CI = 0.84–1.11). Among those who received antipsychotic medication, African Americans (OR = 0.62, CI = 0.50–0.78) and Latinos (OR = 0.77, CI = 0.73–0.81) appeared to have lower odds of receiving newer antipsychotics compared with non-African Americans and non-Latinos. Conclusion No significant ethnic disparities in the use versus non-use of any antipsychotics were observed, but, among those who received antipsychotic treatment, ethnic minorities were consistently less likely than non-ethnic minorities to be treated with newer antipsychotics.