Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy

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The National Home-Based Primary Care Learning Network: A Practice-Based Quality Improvement and Research Network

Home-based primary care (HBPC) provides interdisciplinary, comprehensive care at home for homebound older adults and has been largely excluded from the national conversation on care quality and quality improvement. In this Pragmatic Innovations article, we describe the work of the National HBPC Learning Network (LN), which focuses on fostering a continuous learning culture among HBPC practices to improve practice quality, elevate the field of HBPC, and create a community of continuous growth and quality of care accountability. The LN recruits HBPC practices in waves of 9 to 10 practices. It currently comprises 38 HBPC practices that care for 58,000 patients across 25 states (approximately 26% of all patients receiving HBPC in the United States). In a Kickoff meeting, the HBPC practices in each wave are instructed in the basics of quality improvement, develop project aim statements and their first plan-do-study-act cycle, receive an introduction to the LN quality improvement software platform, and review plans for LN engagement. Each month, practices submit updates and receive real-time feedback on their quality improvement work. Monthly virtual workshops are held with all practices that include sharing results of a “1-minute survey” (a monthly 1-to 3-question survey sent to all LN participants on a topic relevant to HBPC practices), a didactic and discussion related to the 1-minute survey topic, and interactive progress updates from LN participants regarding their quality improvement work. Each wave ends with “Moving-up Day,” where practices report on their overall project and reflect on how their practice has changed as a result of the LN. LN practices have addressed and improved performance in multiple HBPC-related quality areas including assessment of functional status and cognitive impairment, falls prevention, advanced care planning, COVID-19 vaccination, and others. We present case studies of 3 LN practices and how LN participation strengthened their practices.     

Assessment of the Benefits of Targeted Interventions for Pandemic Control in China Based on Machine Learning Method and Web Service for COVID-19 Policy Simulation

Taking the Chinese city of Xiamen as an example, simulation and quantitative analysis were performed on the transmissions of the Coronavirus Disease 2019(COVID-19) and the influence of intervention combinations to assist policymakers in the preparation of targeted response measures. A machine learning model was built to estimate the effectiveness of interventions and simulate transmission in different scenarios. The comparison was conducted between simulated and real cases in Xiamen. A web inter...     

435例原发性高血压患者脉图参数与心血管危险分层的相关性分析

目的 本研究旨在探讨原发性高血压患者脉图参数与心血管危险分层的相关性，为原发性高血压患者心血管风险事件预警提供中医特色的依据。方法 采集435例原发性高血压患者的症状体征、脉象信息、生化指标等，分为低中危组、高危组、很高危组，采用单因素方差分析、秩和检验、有序logistic回归分析等方法，探讨原发性高血压患者脉图参数与心血管危险分层的相关性。结果 ①高血压低中危组→高危组→很高危组患者病程逐渐延长，两两组间比较有统计学差异；②高血压低中危组→高危组→很高危组患者的脉图参数H3/H1、H4/H1逐渐上升；高血压患者很高危组H5/H1、T1/T低于低中危组；③有序logistic回归分析结果显示，脉图参数T1、T4、T5、T为影响因素。结论 病程、血脂、肾功能是高血压患者心血管危险分层的影响因素之一。心血管危险分层等级的升高与脉图参数H3/H1、H4/H1、T5、T的升高及H5/H1、T4、T1的降低相关，说明脉图能一定程度上反映原发性高血压患者血管壁增厚、血管内壁受损、血管硬化及左心室收缩功能的减退程度。     

小肠异位胰腺 1例报告及文献复习

目的探讨异位胰腺的诊治，提高对该疾病的认识以减少误诊。方法回顾性分析 1例小肠异位胰腺病人的临床表现、诊断及治疗经过，结合文献分析其组织病理分型、临床表现和治疗经验。结果病人因“突发腹痛 1d”入院。入院后在全麻下急诊行开腹探查术，于术中见“小肠表面可及一肿物，肿物穿孔可见小肠内容物溢出”。术后病理证实肿物为异位胰腺。术后恢复满意，术后第 90天随访无并发症及影像学检查异常。结论异位胰腺属于一种先天性异常，缺乏特异性诊断方法，早期多无症状，因此可保守治疗；如有症状或术中意外发现为异位胰腺组织时，可手术切除。