A Multi-Scale DNN Algorithm for Nonlinear Elliptic Equations with Multiple Scales

Algorithms based on deep neural networks (DNNs) have attracted increasing attention from the scientific computing community. DNN based algorithms are easy to implement, natural for nonlinear problems, and have shown great potential to overcome the curse of dimensionality. In this work, we utilize the multi-scale DNN-based algorithm (MscaleDNN) proposed by Liu, Cai and Xu (2020) to solve multi-scale elliptic problems with possible nonlinearity, for example, the p-Laplacian problem. We improve the MscaleDNN algorithm by a smooth and localized activation function. Several numerical examples of multi-scale elliptic problems with separable or non-separable scales in low-dimensional and high-dimensional Euclidean spaces are used to demonstrate the effectiveness and accuracy of the MscaleDNN numerical scheme.     

Risk communication in a patient decision aid for radiotherapy in breast cancer: How to deal with uncertainty?

Background and aimPatient decision aids for oncological treatment options, provide information on the effect on recurrence rates and/or survival benefit, and on side-effects and/or burden of different treatment options. However, often uncertainty exists around the probability estimates for recurrence/survival and side-effects which is too relevant to be ignored. Evidence is lacking on the best way to communicate these uncertainties. The aim of this study is to develop a method to incorporate uncertainties in a patient decision aid for breast cancer patients to support their decision on radiotherapy.MethodsFirstly, qualitative interviews were held with patients and health care professionals. Secondly, in the development phase, thinking aloud sessions were organized with four patients and 12 health care professionals, individual and group-wise.ResultsConsensus was reached on a pictograph illustrating the whole range of uncertainty for local recurrence risks, in combination with textual explanation that a more exact personalized risk would be given by their own physician. The pictograph consisted of 100 female icons in a 10 x 10 array. Icons with a stepwise gradient color indicated the uncertainty margin. The prevalence and severity of possible side-effects were explained using verbal labels.ConclusionsWe developed a novel way of visualizing uncertainties in recurrence rates in a patient decision aid. The effect of this way of communicating risk uncertainty is currently being tested in the BRASA study (NCT03375801).     

The Evidence Base Supporting the Subtyping of Gamblers in Treatment

Introduction Recent reviews found problem gamblers are heterogeneous and recommended subtyping gamblers in treatment studies. Objective Review factors (stage of change, preferred gambling activity, co-occurring disorder, and temporal instability of symptoms) for subtyping by evaluating the evidence for their effects on gambling treatment. Methods Literature review, evidence grading. Results Evidence is limited that any of the reviewed factors affects gambling treatment. Substantial evidence from prospective studies and other evidence from cross-sectional studies and the strong placebo response among pathological gamblers support the temporal instability of gambling symptoms. Conclusions Multiple studies are needed to develop the evidence base needed to subtype gamblers in treatment. Changes in the diagnostic criteria of pathological gambling may be necessary, especially to specify the persistence of gambling-related symptoms.     

浅谈基因治疗的现状及其面临的困境

基因治疗将在未来的疾病治疗中扮演重要的角色，然而这一新颖的技术却面临着诸多问题，本文论述了基因治疗的发展现状及其所面临的技术难题。     

单亲大学生心理健康状况及心理问题的教育对策研究

目的针对单亲大学生心理健康问题提供有效的教育对策．方法针对大学新生开展16PF调查并发现单亲大学生的心理问题。结果本次测查共测量被试8302人，删除部分无效量表．实际有效数据为7742人，问卷有效率为93．27％．以一般情况问卷中“是否是单亲家庭子女”回答“是”的．作为单亲大学生的认定标准，检出单亲家庭子女555人，占总人数的7．17%，其中男生占40．0％．女生60．0％．17．5％的单亲出现各种心理问题．调查表明．单亲家庭子女与非单亲家庭子女相比，在乐群性和怀疑性两个因子有显着区别。事实上也表现为与正常大学生心理健康状况的显着差异。结论单亲大学生心理问题表现为：自卑心理、怀旧心理、逆反心理、猜疑心理等等。教育对策：加强社会教育系统、学校教育系统、家庭教育对单亲大学生心理的干预与影响，同时．单亲大学生遗要加强心理健康的自我教育．以多元系统帮助他们形成健全人格。     

谈多媒体教学在医学理论课教学中的问题及措施

多媒体技术在教育领域的应用，促进了教育教学理念和方式的变革。然而，通过调查，在医学理论课多媒体教学中出现了一些问题，寻找解决问题的出路，是促进多媒体教学不断成熟和完善，提高现代化教学手段质量的最佳途径。     

Clinical problem-solving using video simulation: an investigation

This paper examines the use of videotape simulation as a research method for the exploration of clinical problem-solving, the challenges posed and the strategies employed to overcome the difficulties encountered are discussed. The simulation forms part of a larger comparative study of outcomes of pre-registration nurse education programmes, commissioned by the English National Board for Nursing, Midwifery and Health Visiting.     

Social problem solving as a moderating variable between negative life stress and depressive symptoms

The present study sought to investigate the moderating function that social problem-solving effectiveness serves in relation to negative stressful life events and depressive symptomatology. It was also hypothesized that knowledge of problem solving would improve upon the prediction of level of depressive symptoms beyond the assessment of stressful events. Results involving 462 undergraduate students provide support for both predictions. Specifically, findings from a multiple regression analysis indicated that (1) differences in reported depressive mood between subjects under high and low stress levels were minimal for individuals characterized as effective problem-solvers, relative to those persons with problem-solving scores reflective of ineffective problem solving; and (2) assessment of problem-solving scores and their interaction with stress level provided for an additional three times the amount of explained variance in predicting depression scores beyond life stress scores. Additionally, a cross-validation of the regression analysis was conducted and found to result in a minimal amount of shrinkage that could be due to samplespecific characteristics.We would like to extend our appreciation to two anonymous reviewers for their helpful comments on an earlier draft of this article. The study was supported in part by a grant funded by Fairleigh Dickinson University to the first author.