圣·约翰草提取物片治疗抑郁障碍专家共识

结合循证医学证据,本文归纳圣·约翰草提取物片治疗抑郁障碍的专家共识

基于少量图像的三维重建综述

基于少量图像的三维重建被认为是第三代人工智能的经典应用之一。在计算机图形学和计算机视觉领域，基于少量图像的三维重建任务因具有广泛的应用场景和很高的研究价值，长期以来吸引着众多学者的目光。引入深度学习方法后，该领域于近年来得到了长足发展。对此类基于少量图像的三维重建任务进行了全面阐述，并介绍了本研究组在该方面的系列工作，对其中涉及的数据类型进行分析，阐明其适用性和一般处理方法。此外，对常见的数据集进行分析、整理，针对不同重建方法，归纳出其基本框架、思路。最后，展示了一些常见三维重建的代表性实验结果，并提出了未来可能的研究方向

Total morphosynthesis of biomimetic prismatic-type CaCO3 thin films

我校材料学院姜源副教授，与浙江大学唐睿康教授课题组、德国Konstanz大学Helmut Cölfen教授课题组合作，首次利用全合成手段获得了仿贝类棱柱层结构的碳酸钙薄膜，并实现了仿生薄膜微结构的精准调控，由此获得了优异的力学性能。本研究团队基于生物矿物的空间结构异质性，并参考了传统晶态薄膜材料合成中的液相外延方法，首次设计出了多步仿生矿化路线，在常温液相条件下成功地构筑了利用聚电解质稳定的矿物种子层，并在此基础上利用外延矿化方法构筑了碳酸钙的棱柱层结构。本研究制备的棱柱层薄膜不但与相对应的生物矿物在微结构上具有高度的相似性，同时还具有类似的硬度和杨氏模量。文中提出的基于种子层外延生长的多步矿化路线是获得棱柱层仿生结构的普适方法，也加深了人们对于生物矿化机制的认识。【Abstract】Biomimetic mineralization can lead to advanced crystalline composites with common chemicals under ambient conditions. An exceptional example is biomimetic nacre with its superior fracture toughness. The synthesis of the prismatic layer with stiffness and wear resistance nonetheless remains an elusive goal. Herein, we apply a biomimetic mineralization method to grow prismatic-type CaCO3 thin films, mimicking their biogenic counterparts found in mollusk shells with a three-step pathway: coating a polymer substrate, deposition of a granular transition layer, and mineralization of a prismatic overlayer. The synthetic prismatic overlayers exhibit structural similarity and comparable hardness and Young’s modulus to their biogenic counterparts. Furthermore, employment of a biomacromolecular soluble additive, silk fibroin, in fabrication of the prismatic thin films leads to micro-/nano-textures with enhanced toughness and emerging under-water superoleophobicity. This study highlights the crucial role of the granular transition layer in promoting competition growth of the prismatic layer.Y.J. acknowledges financial support from the National Natural Science Foundation of China (NSFC; 21303144) and Science Foundation of the Fujian Province, China (2014J01207). R.T. acknowledges financial support from NSFC (21625105). X.Y.L. thanks NSFC (U1405226), the “111” Project (B16029), Fujian Provincial Bureau of Science & Technology (2014H6022), and the 1000 Talents Program from Xiamen University