Iliopsoas Abscess Due to Brenner Tumor Malignancy: A Case Report

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A comparison of the relationships between psychosocial factors,occupational strain,and work ability among 4 ethnic teacher groups in China

The present study compared the level of occupational strain and work ability among Han, Hui, Uygur, Hui, and Kazakh teachers, and explored ethnic differences based on the associations of psychosocial factors at work, occupational strain, and work ability. A cross-sectional survey was conducted among 2,941 teachers in primary and secondary schools in Xinjiang Province, China. Psychosocial factors, occupational strain, and work ability were measured using the Occupation Stress Inventory—Revised Edition (OSI-R) and Work Ability Index. Han and Hui teachers experienced reduced work ability compared with Uygur and Kazakh teachers, and this finding was caused, in part, by exposure to psychosocial factors at work. The vocational and psychological strains caused by these factors play an important role in reduced work ability among all ethnic teacher groups. The findings indicate the importance of taking action to reduce occupational strain for promoting teachers' work ability in multiethnic workplaces.     

指压天枢穴加腹部按摩联合番泻叶在静脉肾盂造影患者中的应用效果

目的探讨指压天枢穴加腹部按摩联合番泻叶在静脉肾盂造影患者中的应用效果。方法选取我院2018年12月至2019年8月期间行静脉肾盂造影的120例患者,随机分为两组各60例。对照组给予番泻叶,观察组给予天枢穴指压加腹部按摩联合番泻叶,比较两组的肠道清洁力度和不良反应情况。结果治疗后,观察组的肠道清洁力度明显高于对照组(P <0.05);观察组的不良反应发生率为6.67%,明显低于对照组的23.33%(P <0.05)。结论静脉肾盂造影患者采用指压天枢穴加腹部按摩联合番泻叶的效果较好,可提高肠道清洁力度,降低不良反应发生率。     

Exact confidence intervals for the average causal effect on a binary outcome

Based on the physical randomization of completely randomized experiments, in a recent article in Statistics in Medicine, Rigdon and Hudgens propose two approaches to obtaining exact confidence intervals for the average causal effect on a binary outcome. They construct the first confidence interval by combining, with the Bonferroni adjustment, the prediction sets for treatment effects among treatment and control groups, and the second one by inverting a series of randomization tests. With sample size n, their second approach requires performing O(n⁴)randomization tests. We demonstrate that the physical randomization also justifies other ways to constructing exact confidence intervals that are more computationally efficient. By exploiting recent advances in hypergeometric confidence intervals and the stochastic order information of randomization tests, we propose approaches that either do not need to invoke Monte Carlo or require performing at most O(n²)randomization tests. We provide technical details and R code in the Supporting Information . Copyright © 2016 John Wiley & Sons, Ltd.