知识点模块网格化模型在肾内科实习生带教中的应用

目的 运用知识点模块网格化构建带教模型，观察其在肾内科实习生中的应用效果。方法 根据《内科学》（第八版）肾内科教学大纲要求，结合肾内科病房常见病、多发病的临床特点，精心挑选相关知识点，以理论为支撑点，以服务于实习带教工作为靶目标，各个知识点之间有临床的关联性，最终形成网格化的诊治分 析模型。将血尿、蛋白尿、高血压、水肿、肾小球滤过率为切入点，设定肾病综合征、系统性红斑狼疮、糖尿病肾病和急、慢性肾功能衰竭为临床知识必须掌握点，从病史、症状、体征和实验室检查几方面来培养实习生的诊疗思维，并通过知识点来关联疾病的诊治，从而帮助他们在有限的肾内科实习期间尽可能掌握肾内科临床知识。结果 本研究开展一年以来，对于来肾内科轮转的51 名实习生进行了模块网格化模型训练，实习生普遍反映该模型有很好的学习效果，让他们了解了肾内科临床重点，并能和理论学习的知识点有机融合在一起，开阔了实习生的诊疗视野，也便于对其他科知识点的学习。结论 基于知识点模块网格化，构建模型在肾内科实习生中有很好的带教作用，学生接受肾内科知识点的记忆增强，并能进一步推广到内科其他内容的实习带教中。     

Botulinum toxin blocks mast cells and prevents rosacea like inflammation

Background

Rosacea is a chronic inflammatory skin condition whose etiology has been linked to mast cells and the antimicrobial peptide cathelicidin LL-37. Individuals with refractory disease have demonstrated clinical benefit with periodic injections of onabotulinum toxin, but the mechanism of action is unknown.

A Well-Balanced Positivity-Preserving Quasi-Lagrange Moving Mesh DG Method for the Shallow Water Equations

A high-order, well-balanced, positivity-preserving quasi-Lagrange moving mesh DG method is presented for the shallow water equations with non-flat bottom topography. The well-balance property is crucial to the ability of a scheme to simulate perturbation waves over the lake-at-rest steady state such as waves on a lake or tsunami waves in the deep ocean. The method combines a quasi-Lagrange moving mesh DG method, a hydrostatic reconstruction technique, and a change of unknown variables. The strategies in the use of slope limiting, positivity-preservation limiting, and change of variables to ensure the well-balance and positivity-preserving properties are discussed. Compared to rezoning-type methods, the current method treats mesh movement continuously in time and has the advantages that it does not need to interpolate flow variables from the old mesh to the new one and places no constraint for the choice of a update scheme for the bottom topography on the new mesh. A selection of one- and two-dimensional examples are presented to demonstrate the well-balance property, positivity preservation, and high-order accuracy of the method and its ability to adapt the mesh according to features in the flow and bottom topography.