摘要：Cryobioprinting has tremendous potential to solve problems to do with lack of shelf availability in traditional bioprinting by combining extrusion bioprinting and *** order to ensure the viability of cells in the frozen state and avoid the possible toxicity of dimethyl sulfoxide(DMSO),DMSO-free bioink design is critical for achieving successful cryobioprinting.A nontoxic gelatin methacryloyl-based bioink used in cryobioprinting is composed of cryoprotective agents(CPAs)and a buffer *** selection and ratio of CPAs in the bioink directly affect the survival of cells in the frozen ***,the development of universal and efficient cryoprotective bioinks requires extensive *** first compared two commonly used CPA formulations via experiments in this *** show that the effect of using ethylene glycol as the permeable CPA was 6.07%better than that of *** datasets were obtained and four machinelearning models were established to predict experimental *** predictive powers of multiple linear regression(MLR),decision tree(DT),random forest(RF),and artificial neural network(ANN)approaches were compared,suggesting an order of ANN>RF>DT>*** final selected ANN model was then applied to another *** reveal that this machine-learning method can accurately predict the effects of cryoprotective bioinks composed of different *** also suggest that the formulations presented here have *** findings are likely to greatly accelerate research and development on the use of bioinks for cryobioprinting.

摘要：近年来,柔性传感器因其在可穿戴电子设备和智能系统中的广阔应用前景而备受关注.柔性可穿戴传感器具有高灵敏度、良好的机械柔性、优异的稳定性、人体友好性等特点,在人体运动与生理信号监测、环境因素检测等方面具有极大的应用潜力.一般而言,柔性传感器的性能主要取决于敏感材料的选择与器件的结构设计.得益于其优异的性能和灵活多样的组装结构与形貌,碳材料是目前应用最广泛的敏感材料之一.根据需求,纳米碳材料可组装为各类宏观结构,比如一维的纤维,二维的薄膜和三维的块体结构,从而可用于制备各种柔性传感器以适应不同的需求.此外,通过规模化、低成本的高温碳化工艺可以将天然生物质材料转化为柔性、导电碳材料,并用于高性能柔性传感器制备.本文针对碳材料在柔性器件中的应用,综述了各类碳材料的制备方法与结构特点,并重点介绍了其柔性可穿戴传感器的制备与性能.第一部分简要介绍了柔性传感器与碳材料;第二部分概述了四类典型柔性传感器的工作原理与性能特点;第三部分详细综述了一维、二维和三维碳材料的制备方法与其在柔性传感器的组装、性能与应用方面的最新研究进展;最后,总结了碳基柔性传感器领域的发展现状,讨论了该领域所面临的挑战及其未来前景.

摘要：为健全信号获得和识别的一个便携、高精确的传感器从编织的特殊设计的 graphene 的薄电影被制作织物(GWF ) 。在被拉长之上，随机的裂缝的高密度出现在网络，它减少当前的小径，从而增加电阻。因此，这部电影能对人的喉咙作为一个紧张传感器起作用以便测量通过肌肉运动，一个声音是否被生产的讲话。超离频敏感允许由提取声波的签名特征的快速、低频率的讲话采样的实现。在这研究， 26 封英语信，典型汉字和音调的代表性的信号，甚至短语和句子被测试，揭示在电阻的明显、典型的变化。而且， graphene 传感器的电阻变化与预告录下的声音完美地反应了。由把人工智能与数字信号处理相结合，我们期望以后，这个 graphene 传感器将能成功地达成复杂声学的系统和听觉的数据的大数量。