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Subretinal Angiostrongyliasis: In a situation Record.
To describe user-centered voting systems that would support the safe conduct of voting in a pandemic environment.

The COVID-19 pandemic has complicated our democratic processes. Voters and poll workers feel threatened by the potential dangers of voting in business-as-usual polling stations. Indeed, significant problems were encountered in the recent 2020 primary elections in Wisconsin, where the National Guard had to be mobilized because so few poll workers reported to work, and more than 90% of polling places had to remain closed.

We describe a number of possible user-centered solutions that would help protect voters and poll workers in times of pandemic, and also report the results of a survey that asked voters and poll workers about what kinds of systems might make them willing to vote.

Political as well as safety considerations will need to be considered as these safer voting solutions are designed since, surprisingly, the kinds of solutions preferred depend on the political affiliation of the voters.

Human factors professionals have a large role to play in realizing the safe, successful implementation of these user-centered systems. Good human factors analysis can help minimize the risk to voters and poll workers. Moreover, human factors methods can help safeguard democracy by creating safe and well-engineered environments that are conducive to voting in the age of pandemics.

Creating safe and effective voting solutions that protect voters and poll workers during pandemic outbreaks is crucial to the preservation of democracy.
Creating safe and effective voting solutions that protect voters and poll workers during pandemic outbreaks is crucial to the preservation of democracy.Cystic fibrosis (CF) is an autosomal recessive disease caused by variations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. Although CF affects multiple organs, the primary cause of mortality is respiratory failure resulting from poor clearance of hyperviscous secretions and subsequent airway infection. Recently developed CFTR modulators provide significant therapeutic benefit to the majority of CF individuals. However, treatments directed at the underlying cause are needed for the ∼7% of CF patients who are not expected to be responsive to these modulators. Genome editing can restore the native CFTR genetic sequence and function to mutant cells, representing an approach to establish durable physiologic CFTR correction. Although editing the CFTR gene in various airway cell types may transiently restore CFTR activity, effort is focused on editing airway basal stem/progenitor cells, since their correction would allow appropriate and durable expression of CFTR in stem cell-derived epithelial cell types. Substantial progress has been made to directly correct airway basal cells in vitro, theoretically enabling transplantation of autologous corrected cells to regenerate an airway with CFTR functional cells. Another approach to create autologous, gene-edited airway basal cells is derivation of CF donor-specific induced pluripotent stem cells, correction of the CFTR gene, and subsequent directed differentiation to airway basal cells. Further work is needed to translate these advances by developing effective transplantation methods. Alternatively, gene editing in vivo may enable CFTR correction. However, this approach will require robust delivery methods ensuring that basal cells are efficiently targeted and corrected. Recent advances in gene editing-based therapies provide hope that the genetic underpinning of CF can be durably corrected in airway epithelial stem cells, thereby preventing or treating lung disease in all people with CF.
In the past few years, an increasing number of studies have proposed the idea of extending the therapeutic range of metformin from traditional hypoglycaemic to autoimmune diseases, and confirmed in a variety of autoimmune diseases. However, whether metformin can be used to treat Hashimoto's thyroiditis (HT), which is characterised by thyroid peroxidase antibody (TPOAb) and thyroglobulin antibody (TgAb), is unknown. Therefore, we conducted a systematic review and meta-analysis to evaluate whether metformin can reduce the levels of TPOAb and TgAb in patients with HT or subclinical hypothyroidism (SH), so as to provide a theoretical basis for metformin treatment of these diseases.

PubMed, Web Of Science and Embase were searched for observational studies investigating the changes of TPOAb and TgAb in patients with HT after metformin treatment. Two authors extracted data from eligible studies and classified them as HT and subclinical hypothyroidism subgroups. The calculation was then performed by weighted meanl application of metformin in the treatment of HT.This study evaluated the validity of self-reported periodontitis measures among 2404 Japanese adults aged 40 to 75 years. A self-administered questionnaire survey and a clinical periodontal examination were conducted from 2013 through 2016. The self-reported periodontitis questions included 3 sociodemographic, 3 health, and 5 periodontal health-related items. Based on the clinical case definition of periodontitis, 26.5% of participants were found to be periodontally healthy, 2.7% had mild periodontitis, 55.2% moderate periodontitis, and 15.6% severe periodontitis. Selleckchem Chlorin e6 No single self-reported question demonstrated satisfactory validity in predicting the presence or absence of periodontitis. The predictive ability in mild and/or moderate periodontitis was poor even after combining multiple sociodemographic, health, and periodontal health-related questions. In severe periodontitis, the model including age, sex, education level, smoking status, diabetes history, body mass index, informed by a dentist, gingival bleeding, calculus deposit, and tooth mobility, presented moderate predictive performance (C-statistic 0.676, sensitivity 65.2%, and specificity 61.1%). An age-stratified analysis on severe periodontitis showed that sensitivity was higher, and specificity was lower in older age group (60-75 years) than younger age group (40-59 years). Further refinement of questions in the self-report is required to increase the accuracy of the prediction of clinical periodontitis.
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