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。     

Capturing of transition by the RNG based algebraic turbulence model

This paper concerns the RNG based algebraic turbulence model. This model has characteristics to capture transitional process from laminar to turbulent flow. This is determined by the argument of the Heaviside function, which becomes a threshold for the occurrence of turbulence. It is supposed that proper modeling of this argument will lead to correctly capture transition location. In the present paper, this argument is modeled in such a way that the form of cubic equation for the turbulent kinematic viscosity be maintained. Moreover, the length scale which is required to calculate the turbulent kinematic viscosity is newly proposed, taking into account the freestream pressure gradient. The validation is performed by comparing the calculated results with the empirical expressions as well as the experimental data. This model can simulate the streamwise intermittency effect, by which a sudden increase of skin friction is prevented. Moreover, the transition location can be predicted within reasonable accuracy compared with the experimental data.     

大规模风电接入电网及市场消纳问题分析

目前风电外送与接入是电网企业与风电开发企业矛盾比较集中的焦点问题.我国风电场主要分布在距负荷中心较远的地区,电网结构相对薄弱,电网建设对风电开发存在一定的制约.在我国西北、华北以及东北(尤其是内蒙古东部地区)风电基地集中地区,风电发出的电力无法正常并网,已经成为未来风电发展所面临的最大问题.针对这一难题,以电网运行管理者的视角,从风电侧和电网侧两个方面,对风电并网问题进行了深入研究,找出其中的难点,并作进一步分析.在国外相关实际做法的基础上,对发电侧、负荷侧以及并网风电管理等方面,提出了提高发电机组调峰能力、适当建设快速调节机组、实施峰谷电价等旨在促进我国风电健康有序发展的实用化建议.     

Dynamic tensile and shear storage moduli of PEG/silica-polymorph composites

The effect of silica polymorphs on the thermomechanical properties of 0, 5, 10, and 20 wt % silica particles-reinforced-based poly(ethylene glycol) (PEG) composites have been studied as a function of temperature using dynamic mechanical analysis (DMA). The silica polymorphs exhibited quartz (Q), cristobalite (C), and amorphous (A) phases, which were obtained by processing natural silica sand. The DMA thermomechanical properties were determined in tensile (E) and shear (G) modes. The maximum storage moduli (E′ and G′) were achieved by samples with 20 wt % silica for all type of fillers. These values increased approximately 12 times for PEG/Q, 10 times for PEG/A, and 11 times for PEG/C composites compared to the pure PEG. Furthermore, the Poisson's ratio values of the composites were filler phase dependent, that is, 0.39–0.47 for PEG/Q, 0.15–0.18 for PEG/A, and somewhat anomalous for PEG/C composites. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47372.     

Visual privacy attacks and defenses in deep learning: a survey

The concerns on visual privacy have been increasingly raised along with the dramatic growth in image and video capture and sharing. Meanwhile, with the recent breakthrough in deep learning technologies, visual data can now be easily gathered and processed to infer sensitive information. Therefore, visual privacy in the context of deep learning is now an important and challenging topic. However, there has been no systematic study on this topic to date. In this survey, we discuss algorithms of visual privacy attacks and the corresponding defense mechanisms in deep learning. We analyze the privacy issues in both visual data and visual deep learning systems. We show that deep learning can be used as a powerful privacy attack tool as well as preservation techniques with great potential. We also point out the possible direction and suggestions for future work. By thoroughly investigating the relationship of visual privacy and deep learning, this article sheds insights on incorporating privacy requirements in the deep learning era.

     

Addressing Nanomaterial Immunosafety by Evaluating Innate Immunity across Living Species

The interaction of a living organism with external foreign agents is a central issue for its survival and adaptation to the environment. Nanosafety should be considered within this perspective, and it should be examined that how different organisms interact with engineered nanomaterials (NM) by either mounting a defensive response or by physiologically adapting to them. Herein, the interaction of NM with one of the major biological systems deputed to recognition of and response to foreign challenges, i.e., the immune system, is specifically addressed. The main focus is innate immunity, the only type of immunity in plants, invertebrates, and lower vertebrates, and that coexists with adaptive immunity in higher vertebrates. Because of their presence in the majority of eukaryotic living organisms, innate immune responses can be viewed in a comparative context. In the majority of cases, the interaction of NM with living organisms results in innate immune reactions that eliminate the possible danger with mechanisms that do not lead to damage. While in some cases such interaction may lead to pathological consequences, in some other cases beneficial effects can be identified.     

各向异性加权先验模型MAP投影域降噪

低剂量计算机断层扫描技术（Low-Dose Computed Tomography,LDCT）降低了X射线对人体的辐射,但射线剂量降低造成重建图像中存在严重的伪影和噪声,对临床医学诊断有很大干扰。针对此问题,提出一种改进的各向异性加权先验模型的最大后验（Maximum A Posteriori,MAP）投影域降噪算法。该算法考虑到直觉模糊熵能够有效区分平滑区域和边缘细节区域,将其与传统的各向异性扩散系数相结合,构造了一种新的扩散系数,并采用局部方差实现其自适应调节;最后将该扩散系数融合于基于Huber先验的MAP优化估计算法框架中,实现对投影数据不同区域进行不同强度的降噪处理。该算法分别采用数字骨盆模型、Shepp-Logan头模型和数字胸腔模型三种体模进行验证,并与滤波反投影重建算法（Filter Back Projection,FBP）、惩罚重加权最小二乘法（Penalized Reweighted Least-Squares,PRWLS）、各向异性加权先验正弦图平滑算法进行对比。实验结果表明,利用所提算法重建出的图像中伪影明显减少,同时较好地保持了图像的边缘和细节信息。三种体模的信噪比分别为20.502 0 dB、23.294 8 dB、21.018 4 dB,所需时间分别为49.50 s、49.60 s、8.59 s。     

杂志社门户网站的建立

《中国冶金》杂志社的门户网站采用先进的三层技术体系架构搭建,整个体系架构分为用户界面层、业务逻辑层、数据存储层,具有实用、灵活、安全可靠、可扩展和易用维护等特点。通过门户网站可以远程完成杂志社日常的全部工作;可以让员工通过网络进行高效的沟通、交流和信息共享;还可以实现全部期刊编辑管理工作的无纸化操作;进行网刊发布和期刊征订处理;同时为读者、编辑提供了一个网上交流的平台。     

黑色小扁豆中不同结合态酚类含量、花青素组成及其抗氧化活性研究

黑色小扁豆因含有丰富的营养素、微量营养素和植物化学物成分而受到研究者的关注。为深入了解小扁豆的营养价值,对小扁豆中不同结合形态的酚类化合物含量及其抗氧化活性(亚铁离子还原能力、DPPH自由基清除能力、ABTS自由基清除能力)进行测定。结果表明,黑色小扁豆中不同存在形式的酚类提取物含量差异显著。酯键合态酚类提取物中含有较高的酚酸含量(1.61 mg/g),碱水解结合态酚类提取物具有较高的黄酮含量(1.07 mg/g)及抗氧化活性【亚铁离子还原能力(43.80 mmol/g)、DPPH自由基清除能力(2.13 mg/g)、ABTS清除能力(3.92 mg/g)】。对黑色小扁豆中存在的花青素进行提取和分析鉴定,其含有的花青素主要为飞燕草-3-O-(2-O-β-D-吡喃葡萄糖基-α-L-吡喃阿拉伯糖苷)和矢车菊素衍生物。