采用施工图预算控制工程造价的探讨

本文在介绍施工图预算概念及其主要内容的基础上，阐述了采用施工图预算控制工程造价的步骤和特点，并对改革趋势进行了分析。     

硼酸铝晶须预制块制备工艺的研究

高质量复合材料预制块是获得高性能复合材料的基本要求和关键要素之一．通过对没有任何粘接剂的硼酸铝晶须，从晶须的清洗、晶须的分散、预制块成型、预制块烘干及预制块烧结技术方面进行了研究，提出了获得用于制备镁基复合材料的硼酸铝晶须预制块的制备工艺．     

崇启大桥钢箱梁试验段制造工艺技术研究

本文基于崇启大桥主桥钢箱梁梁段制造工艺参数采集的需要,对试验段的制造工艺技术进行了探讨与研究。     

矮寨悬索桥整体节点杆件制造技术

本文通过对矮寨悬索桥整体节点杆件的结构特点及制造难度分析,介绍了整体节点杆件制造的工艺要点及杆件精度控制措施,有效保证了产品的质量、提高了生产制造效率。对同类型杆件的制造提供了参考。     

Fab Lab创新模式及其启示

信息技术融合与发展为科技创新模式嬗变提供了新机遇。本文讨论了Fab Lab创新模式的发展背景及典型案例,并重点分析了其对我国以用户创新为中心的应用创新实践的理论及现实意义,以期引发研究与实践领域围绕用户参与的创新2.0模式发展的深入思考。     

关于全过程造价管理的探讨

工程预算及造价估算技术是以成本效益管理为原则，务求成本资金运用恰当来控制工程造价，这种管理技术可确保项目减少不必要的开支，使项目在预计的成本价内完成而得到最高的成本效益．全过程造价管理，就是专业的造价管理人员对工程的前期概算、招投标、合同签订、工程施工和竣工结算等阶段实施全过程的造价监控，以期满足工程使用功能的前提下，尽可能降低工程造价．     

漪汾桥钢箱梁制造技术

本文主要介绍了漪汾桥钢箱梁制造及试装技术,同类工程具有借鉴意义。     

空心微球材料制备方法简介

近年来,有关单分散空心微球的研究已成为材料领域的研究热点。空心微球特有的许多优异性能使它在化学、生物技术、材料科学等领域具有极其广泛的应用前景。     

Recent progress in high-resolution tactile sensor array: From sensor fabrication to advanced applications

Tactile sensors can transform the environmental stimuli into electrical signals to perceive and quantify the environmental information, which show huge application prospects. The development of bionic robots and wearable devices towards intelligence has put high demands on the performance of tactile sensor arrays. Herein, the current state-of-the-art tactile sensor arrays over recent years have been summarized, from sensor array fabrication to advanced applications. The main preparation methods of patterned array including screen printing, 3D printing, laser microprocessing, and textile technology are discussed in detail. Strategies to optimize the signal crosstalk caused by flexible high-density sensor arrays are systematically introduced from the perspective of structure design and circuit design. Furthermore, advanced tactile sensors are not limited to a single pressure sensing function, and hence the development of multimodal detection for sensors has been discussed. In order to promote the adaptability in applications, stretchable and self-powered versatile integration scheme for advanced sensing are briefly described. Then, by means of machine learning and neural networks, it is possible to deeply explore the information embedded in the tactile acquisition signal with enriched application scenarios. Finally, the current challenges and the future perspectives for flexible tactile sensor arrays towards practical use are provided.