Analyzing subjectivity in therapeutic discourse: Rogers, Perls, Ellis, and Gloria revisited.

Analyzed the film Three Approaches to Psychotherapy (E. L. Shostrom, 1966), which depicts C. Rogers (client-centered therapy), A. Ellis (rational-emotive therapy), and F. S. Perls (Gestalt therapy) interviewing the same client, Gloria. Verbal exchanges between participants were analyzed, using T. S. Essig and R. L. Russell's (1988) categories for analyzing psychological relations between subjects and events in discourse. Predictable patterns in how therapists of different theoretical orientations represent subjectivity in discourse can be screened with these categories. Classification categories are appended. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

当今笔记本电脑外观设计趋势分析

伴随着设计不断的进步和发展,笔记本电脑在尺寸和重量、外形颜色、外形和布局等方面尽情演绎和彰显着科技与艺术相结合的魅力。现代社会,人与产品的关系变得越来越近,人们对产品的要求也不仅仅在实现基本的功能,人们更希望能够通过产品的造型、色彩、材质和使用方式等各种设计语言与产品进行交流,从而获得全新的情趣体验和心理满足,这也正是工业设计所追求的目标,即在日趋同质化的竞争中,构筑差异化的优势。     

基于问题导向的在线教学研究

本文以“电力电子技术基础”的在线教学为例,开展以学生为中心的基于问题导向的教学方法优化实践。教学过程中,结合学校教师教学发展中心组织的EMI教师培训,对教学计划、教学重点进行了大力度的改进;同时,结合过程中与学生的交互、期末学生的反馈以及同行专家的建议,对本次的优化改进进行了教学分析、分析、反思和总结,以期不断提升本课程的教学质量,并为其它工科类课程的教学优化提供借鉴。     

BubbleNet: A Cyber Security Dashboard for Visualizing Patterns

The field of cyber security is faced with ever‐expanding amounts of data and a constant barrage of cyber attacks. Within this space, we have designed BubbleNet as a cyber security dashboard to help network analysts identify and summarize patterns within the data. This design study faced a range of interesting constraints from limited time with various expert users and working with users beyond the network analyst, such as network managers. To overcome these constraints, the design study employed a user‐centered design process and a variety of methods to incorporate user feedback throughout the design of BubbleNet. This approach resulted in a successfully evaluated dashboard with users and further deployments of these ideas in both research and operational environments. By explaining these methods and the process, it can benefit future visualization designers to help overcome similar challenges in cyber security or alternative domains.     

空压机系统的RCM策略实践

阐述了以可靠性为中心的检修模式(RCM)理论观点，并介绍了电厂实施RCM的工作流程，以及如何根据故障模态、故障效应、故障后果分析来确定设备检修方式、制定检修计划的方法。     

单晶体心立方金属铌裂纹尖端位错增殖行为的 原位研究

位错的增殖对体心立方金属材料的塑性性能有着非常重要的意义,目前对于体心立方位错增殖机制的动态研究主要依赖于计算模拟,实验研究很少见到报道,其位错增殖机制尚存在不确定性.本文利用透射电镜原位拉伸技术,实现了单晶体心立方金属铌(Nb)裂纹尖端位错增殖的原位动态实验观察,并提出了两个位错模型来解释位错增殖以及运动的机制.从实验上不仅证实了之前模拟的预测,而且对现有的模型进行了很好的补充,为体心立方金属材料的塑性变形机制提供了基础实验数据.     

Hierarchical Correlation Clustering in Multiple 2D Scalar Fields

Sets of multiple scalar fields can be used to model many types of variation in data, such as uncertainty in measurements and simulations or time‐dependent behavior of scalar quantities. Many structural properties of such fields can be explained by dependencies between different points in the scalar field. Although these dependencies can be of arbitrary complexity, correlation, i.e., the linear dependency, already provides significant structural information. Existing methods for correlation analysis are usually limited to positive correlation, handle only local dependencies, or use combinatorial approximations to this continuous problem. We present a new approach for computing and visualizing correlated regions in sets of 2‐dimensional scalar fields. This paper describes the following three main contributions: (i) An algorithm for hierarchical correlation clustering resulting in a dendrogram, (ii) a generalization of topological landscapes for dendrogram visualization, and (iii) a new method for incorporating negative correlation values in the clustering and visualization. All steps are designed to preserve the special properties of correlation coefficients. The results are visualized in two linked views, one showing the cluster hierarchy as 2D landscape and the other providing a spatial context in the scalar field's domain. Different coloring and texturing schemes coupled with interactive selection support an exploratory data analysis.     

Towards patient‐centered packaging design: An industry perspective on processes,functions, and constraints

Medication packaging is essential to provide patients with guidance and correct use of their medicines for effective treatment. This research aims to increase knowledge about the medication packaging innovation process and its uptake towards patient‐centered packaging design. The study applied a qualitative research approach based on data from 25 in‐depth interviews with stakeholders involved in medication packaging design. The empirical data analysis revealed four themes that can improve and advance user‐centered packaging design: medication packaging innovation process, medication packaging functions and features, medication packaging design constraints, and patient‐centered medication packaging design. The findings suggest that medication packaging design is strongly affected by an emphasis on protective and safety packaging functions rather than on patients' needs. Packaging innovation usually is constrained by rigid incremental development processes, where compliance with regulations, extensive documentation, avoidance of manufacturing complexity, and considerations on cost prevail. These findings are discussed in relation to the three most evident trade‐offs for patient‐centered design: protection versus openability, utility versus cost, and complexity of manufacturability versus complexity of use. This research contributes with valuable input and additional evidence about the necessary shift to a user‐centered approach in a field that has not been design driven. This input complements previous research and provides an opportunity for industry decision makers and policy makers to lead patient‐centered packaging design that can benefit patients and relieve overloaded health care systems.     

Visualizing for the Non‐Visual: Enabling the Visually Impaired to Use Visualization

The majority of visualizations on the web are still stored as raster images, making them inaccessible to visually impaired users. We propose a deep‐neural‐network‐based approach that automatically recognizes key elements in a visualization, including a visualization type, graphical elements, labels, legends, and most importantly, the original data conveyed in the visualization. We leverage such extracted information to provide visually impaired people with the reading of the extracted information. Based on interviews with visually impaired users, we built a Google Chrome extension designed to work with screen reader software to automatically decode charts on a webpage using our pipeline. We compared the performance of the back‐end algorithm with existing methods and evaluated the utility using qualitative feedback from visually impaired users.     

ChronoCorrelator: Enriching Events with Time Series

Event sequences and time series are widely recorded in many application domains; examples are stock market prices, electronic health records, server operation and performance logs. Common goals for recording are monitoring, root cause analysis and predictive analytics. Current analysis methods generally focus on the exploration of either event sequences or time series. However, deeper insights are gained by combining both. We present a visual analytics approach where users can explore both time series and event data simultaneously, combining visualization, automated methods and human interaction. We enable users to iteratively refine the visualization. Correlations between event sequences and time series can be found by means of an interactive algorithm, which also computes the presence of monotonic effects. We illustrate the effectiveness of our method by applying it to real world and synthetic data sets.