A synthetical development approach for rehabilitation assistive smart product–service systems: A case study

Digital transformation (DT), the combination of information, computing, communication and connectivity technologies, which has triggered an effective upgrade of different aspects of market strategy, customer experience etc. Nowadays, rehabilitation assistive devices (RADs) are evolving to be more digital, intelligent and personalized. Digitalization and servitization have fostered to an emerging business model—the smart product–service system (Smart PSS). Therefore, DT of the RADs’ industry advocates not only the design of products and functions, the more important is the management of service processes and resource integration. With the increase in the elderly and disabled population, the requirement for RADs is becoming more urgent. However, research on Smart PSS for RAD is still limited. The rehabilitation assistive smart product–service systems (RASPSS) was introduced into the development of RADs based on the “Design and Management of DT” strategy through the service design of assistive devices and user requirements analysis. Further, an integrated design of RAD and Smart PSS has been created, a development method of RASPSS proposed, the theoretical model of the Smart PSS based on RADs built. To specify the service framework, this case study discusses the development of a home rehabilitation assistive system for femoral stem fracture patients. This paper evaluates the usability of the system, the results of which prove usability and effectiveness of the RASPSS development method. The RASPSS development model is designed to meet needs of stakeholders, improve the user rehabilitation experience, promote the service innovation of Smart PSS, bring certain market benefits of rehabilitation aids and create social value.     

认知任务驱动的fMRI脑功能网络构建方法

针对脑功能网络的构建受到特定大脑图谱对兴趣点描述准确度及覆盖度的限制,提出了基于认知任务信息和神经影像数据的脑功能网络构建方法。首先计算fMRI体素对于认知任务的敏感度,然后在此基础上选取兼顾分布均衡和去中心化的大脑兴趣点,从而构建任务驱动的脑功能网络。实验通过在人脸情绪识别认知任务相关的梭状回构造任务驱动的脑功能网络,其度中心性、聚类系数、全局效率、局部效率这四个复杂网络指标均优于典型大脑图谱梭状回中兴趣点构成的网络。结果表明,计算得到的大脑兴趣点具有更强的整合性,更适合用于表征特定认知任务下的脑功能网络。     

生物质功能整理剂的研究进展

传统的功能整理剂都是通过有机合成技术制备得到的,部分会对人体构成潜在的伤害,因此开发生态保健的生物质功能整理剂具有重要的的意义。生物质功能整理剂是从生物体中提取获得的,因此具有绿色安全、生态环保以及可生物降解等众多优势。对生物质功能整理剂在纺织染整行业中的应用进行了综述,并对将来的发展趋势进行了展望。     

Broadband terahertz spectroscopy of amino acids

Broadband spectra of 20 L-amino acids were obtained at room temperature by terahertz time-domain and infrared spectroscopy. The intensity of terahertz absorption peaks varied with the concentrations of amino acids, and the optimum proportion for each amino acid was obtained. An absorption spectral database of 20 L-amino acids was established from 0 to 6 THz. The associations between terahertz absorption peaks and molecular structures of amino acids were analyzed. The terahertz spectra for L-alanine were compared with the calculated results based on density functional theory using two basis sets that were reliably consistent.     

拉压变形对B(N)掺杂碳纳米管Al吸附性能的影响

为了研究(5,5)碳纳米管的B(N)环状掺杂效应,以及拉压变形对B(N)环状掺杂碳纳米管Al吸附性能的影响,采用基于密度泛函理论的平面波赝势和广义梯度近似方法,对B(N)环状掺杂碳纳米管Al吸附模型进行了几何优化,计算了B(N)环状掺杂碳纳米管的形成能,并确定了Al原子的最稳定吸附位置.结果表明,B(N)环状掺杂(5,5)碳纳米管的结构较为稳定.B(N)环状掺杂可以增加碳纳米管与Al之间的吸附能;一定范围内的拉伸和压缩变形则会降低碳纳米管与Al之间的大部分吸附能.     

海藻酸盐纤维的开发和应用

海藻是海洋中最大的植物群,其生物质资源为化纤行业提供了一个巨大的可再生资源宝库。从海藻中提取出的海藻酸经过湿法纺丝后制备的海藻酸盐纤维是一种具有优良生物活性的功能纤维材料,可以与多种金属离子结合后形成富含金属离子的纤维材料,使纤维具有优良的阻燃及屏蔽电磁波的性能。以海藻酸钙纤维为原料制备的针刺和水刺无纺布在与体液接触后通过离子交换形成柔软的凝胶,适用于制备功能性医用敷料、面膜基材、吸湿垫等医用卫生材料,具有很高的应用价值。     

基于弹性网络模型的蛋白质结构-功能关系

蛋白质结构-功能关系研究是结构生物学领域的热点问题之一,具有重要的理论和实际应用价值.弹性网络模型(elastic network model,ENM)是获取蛋白质结构本身固有动力学性质,进而揭示其生物学功能的有效方法,在蛋白质结构-功能关系研究中得到了广泛应用.简要介绍了ENM的基本原理及其在蛋白质结构-功能关系中的应用,主要包括蛋白质功能性运动分析和关键位点识别等.     

磷酸奥司他韦的拉曼光谱分析

为了提供磷酸奥司他韦药品拉曼检测参考需求,对磷酸奥司他韦的拉曼散射光谱进行了实验测量和理论分析。检测了磷酸奥司他韦标准化学对照品200~4000cm-1的自然拉曼光谱,通过构建磷酸奥司他韦分子空间结构,利用密度泛函（m06-2x/6-31++g**）方法优化结构计算获得的理论拉曼光谱。分析指认了200~3800cm-1区间特征频率的振动谱,为拉曼光谱技术在药品鉴定领域提供参考与应用。     

密度泛函理论的基本计算方法研究进展

密度泛函理论(DFT)作为处理多粒子体系的近似方法已经在凝聚态物理、材料科学和量子化学等领域取得了巨大成功并获得广泛应用。综述了密度泛函理论及其数值方法的发展历程和最新进展,重点对基本理论和各类交换关联泛函进行分析,并对DFT的发展趋势做出了展望。     

金属Al电子结构与热力学性质的第一性原理计算

针对金属Al的电子结构与热力学性质,采用基于密度泛函理论的第一性原理以及CASTEP软件进行了理论计算,得到了金属Al的平衡晶格常数、相关弹性系数、电子能带、态密度、声子谱、声子态密度以及相关热力学参数,并对计算结果进行了理论分析.结果表明,金属Al具有明显的导电特性与良好的塑性.金属Al具有3条声学支波色散曲线与一个声子态密度峰.随着温度的增加,熵、焓均增加,而自由能减少.热容量随着温度的增加而迅速增加,当温度达到500 K后,热容量几乎不变,所得结论与物理规律相符合.