Practice and carryover effects when using small interaction devices

The use of interaction devices in modern work often challenges the human motor system, especially when these devices introduce unfamiliar transformations to the user. In this paper we evaluated expert performance and skill differences between experts and novices when using small motion- and force-controlled interaction devices (touchpad and mini-joystick) in an applied text-editing task. Firstly, experts performed better with their familiar input device than with an unfamiliar one. Particularly touchpad experts operating the unfamiliar mini-joystick showed highly asymmetric carryover costs. Results showed that the efficient performance of experts depended on domain-specific skills, which were not transferable. Secondly, with considerable practice (more than observed for simple and short tasks) novices were brought up to higher levels of performance. The motion-transformation between hand and cursor action was easier in understanding and application than the force-transformation. Thus, the touchpad was used more efficiently than the mini-joystick. In conclusion, practice effects found so far are considerably underestimated when it comes to an applied task. The results give reason to develop and implement skill-sensitive training procedures, since the acquisition of domain-specific skills is critical for expert performance. As a consequence, training procedures might be essential for complex applications and/or unfamiliar device transformations.     

一种高精度圆柱形人工边界条件:水-柱体相互作用问题

针对水-柱体动力相互作用问题,提出一种用于模拟无限域水体的圆柱形高精度时域人工边界条件。首先,基于三维可压缩水体的波动方程和边界条件,采用分离变量法建立了时空全局的精确人工边界条件;然后,将其动力刚度表示为外域模型和波导模型人工边界条件动力刚度的嵌套形式;之后,应用时间局部化方法得到时间局部的高精度人工边界条件;最后,离散高精度人工边界条件,并将其与近场有限元方程耦合,形成一种能够采用显式时间积分方法求解的时间二阶常微分方程组。数值算例表明:提出的三维圆柱形高精度人工边界条件精确、高效、稳定。     

新一代载人飞船卫生区功能性空间优化设计研究

目的 开展中国新一代载人飞船卫生区的空间优化研究,探索功能性空间优化设计方法,提高载人飞船空间利用效率,同时提升航天员的舒适性体验。方法 以中国空间站卫生区的功能和结构为依据,探讨中国新一代载人飞船卫生区功能组件的构成;依据航天员在微重力状态下使用卫生区的动作与姿态,建立卫生区空间布置的初步概念;根据卫生区的舱壁布局、微重力下航天员视野区域及最佳操作空间分析,开展相关功能组件建模,基于卫生区的人机交互节点,利用JACK软件进行仿真分析与评估,结合评估结果改进设计方案,并通过追踪航天员活动轨迹产生的包络体完成卫生区的空间优化。结论 通过对比中国新一代载人飞船卫生区优化前后设计方案的舒适性、可操作性和空间尺寸,验证了功能性空间优化设计方法的有效性和可靠性,为载人航天器舒适性与集成化设计提供了参考。     

氮化铝一维纳米结构制备方法和物性研究的最新进展

全面总结了近年来氮化铝一维纳米结构的各种制备方法及物理性能等研究的最新进展,并提出了有待进一步深入研究的一些发展方向。     

稠油冷采用冻胶分散体调驱体系的相互作用机制

目的 旨在有效解决稠油化学冷采过程中降黏剂窜流现象严重、油藏动用效率低的问题,支撑稠油绿色高效开发。方法 基于稠油冷采降黏剂高效降黏洗油与冻胶分散体调剖剂储层调控的协同效应,采用复配方式构建了稠油冷采用冻胶分散体调驱体系,测试其基本性能,并使用界面扩张流变仪以及流变仪,考查了体系的界面流变特性和剪切应力特性。结果 体系由质量分数为0.06%～0.12%的冻胶分散体和质量分数为0.05%～0.15%的降黏剂组成,为粒径均一的低黏流体,能够降低界面张力并乳化稠油,降黏率达到95%以上。体系中降黏剂在油水界面的吸附行为决定了体系的乳化降黏能力,降黏剂通过吸附在冻胶分散体的表面提高了体系的聚结稳定性,并考查了组分含量及油藏条件对以上过程的影响。结论 构建了一种兼具储层调控和高效降黏能力稠油冷采用冻胶分散体调驱体系,探明了体系中各组分间的相互作用机制,为稠油化学冷采提供了技术支持。     

环境媒介与具身交互:艺术疗愈空间的热点与趋势

在人们情绪压力不断增大的当今社会,艺术疗愈以其创造性特征和非语言媒介帮助疗愈对象改善心理或身体状态,旨在讨论艺术疗愈空间中的环境媒介与疗愈过程中的具身交互关系、设计实践与价值。借助CiteSpace可视化软件分析近十年来的重要文献,揭示艺术疗愈的研究现状;运用文献计量学方法,探索环境媒介在艺术疗愈空间的应用,定义环境媒介的具身性、主体间性、沉浸性特征及三者间的关联;以具身交互理论为线索,结合设计案例分析疗愈空间中环境媒体的具身性实践与作用方式,以期进一步探索结合新兴技术的环境媒介未来在我国的应用发展。艺术疗愈空间的环境媒介能具身地影响疗愈对象的交互行为与认知,提高疗愈的效率和质量。环境媒介与具身交互能增进疗愈过程中的不同主体间的体验共享,并辅助疗愈对象沉浸地参与或融入艺术疗愈;数字技术的发展不断地丰富环境媒介的形式,提高艺术疗愈的效果。     

人机互助的交互式口语翻译方法

基于短语的统计翻译模型是目前机器翻译领域广泛使用的模型之一。但是,由于在解码时采用短语精确匹配的策略,造成了严重的数据稀疏问题,短语表中的大量短语无法得到充分利用。为此,该文提出了人机互助的交互式翻译方法。对于翻译短语表中找不到的短语,首先通过模糊匹配的方法,在短语表中寻找与其相似的短语。然后利用组合分类器,判断哪些相似短语可能提高句子的翻译质量。最后,通过人机交互的方法,选择可能提高翻译质量且保持原句语义的短语。在口语语料上的实验结果证明,这种方法可以有效地提高翻译系统的译文质量。     

CSatDTA: Prediction of Drug–Target Binding Affinity Using Convolution Model with Self-Attention

Drug discovery, which aids to identify potential novel treatments, entails a broad range of fields of science, including chemistry, pharmacology, and biology. In the early stages of drug development, predicting drug–target affinity is crucial. The proposed model, the prediction of drug–target affinity using a convolution model with self-attention (CSatDTA), applies convolution-based self-attention mechanisms to the molecular drug and target sequences to predict drug–target affinity (DTA) effectively, unlike previous convolution methods, which exhibit significant limitations related to this aspect. The convolutional neural network (CNN) only works on a particular region of information, excluding comprehensive details. Self-attention, on the other hand, is a relatively recent technique for capturing long-range interactions that has been used primarily in sequence modeling tasks. The results of comparative experiments show that CSatDTA surpasses previous sequence-based or other approaches and has outstanding retention abilities.     

Unraveling Membrane Perturbations Caused by the Bacterial Riboregulator Hfq

Hfq is a pleiotropic regulator that mediates several aspects of bacterial RNA metabolism. The protein notably regulates translation efficiency and RNA decay in Gram-negative bacteria, usually via its interaction with small regulatory RNAs. Previously, we showed that the Hfq C-terminal region forms an amyloid-like structure and that these fibrils interact with membranes. The immediate consequence of this interaction is a disruption of the membrane, but the effect on Hfq structure was unknown. To investigate details of the mechanism of interaction, the present work uses different in vitro biophysical approaches. We show that the Hfq C-terminal region influences membrane integrity and, conversely, that the membrane specifically affects the amyloid assembly. The reported effect of this bacterial master regulator on membrane integrity is discussed in light of the possible consequence on small regulatory RNA-based regulation.