Implemental strategies on informatization-based scientific research performance assessment in hospitals

信息化是医院科研管理的发展趋势，本文分析了信息化背景下医院科研绩效考核的必要性以及信息化在科研绩效考核中的作用，并提出了具体的实施策略，充分发挥信息技术在科研绩效考核中的积极作用，为医院科研管理的健康发展提供思路。Informatization is the development trend of scientific research management in comprehensive hospitals. This paper analyzes the necessity and role of informatization in scientific research performance assessment under the background of informatization and provides specific implementation strategies on the scientific research performance assessment. Informatization may play a positive role in scientific research performance assessment and provide scientific ideas on healthy development of hospital scientific research management

Fe2O3 Nanoparticles Wrapped in Multi-walled Carbon Nanotubes With Enhanced Lithium Storage Capability

We have designed a novel hybrid nanostructure by coating Fe2O3 nanoparticles with multi-walled carbon nanotubes to enhance the lithium storage capability of Fe2O3. The strategy to prepare Fe2O3@MWCNTs involves the synthesis of Fe nanoparticles wrapped in MWCNTs, followed by the oxidation of Fe nanoparticles under carbon dioxide. When used as the anode in a Li-ion battery, this hybrid material (70.32 wt% carbon nanotubes, 29.68 wt% Fe2O3) showed a reversible discharge capacity of 515 mAhg−1 after 50 cycles at a density of 100 mAg−1 and the capacity based on Fe2O3 nanoparticles was calculated as 1147 mAhg−1, Three factors are responsibile for the superior performance: (1) The hollow interiors of MWCNTs provide enough spaces for the accommodation of large volume expansion of inner Fe2O3 nanoparticles, which can improving the stability of electrode; (2) The MWCNTs increase the overall conductivity of the anode; (3) A stable solid electrolyte interface film formed on the surface of MWCNTs may reduce capacity fading

Interaction-Driven Active 3D Reconstruction with Object Interiors

We introduce an active 3D reconstruction method which integrates visual perception, robot-object interaction, and 3D scanning to recover both the exterior and interior, i.e., unexposed, geometries of a target 3D object. Unlike other works in active vision which focus on optimizing camera viewpoints to better investigate the environment, the primary feature of our reconstruction is an analysis of the interactability of various parts of the target object and the ensuing part manipulation by a robot to enable scanning of occluded regions. As a result, an understanding of part articulations of the target object is obtained on top of complete geometry acquisition. Our method operates fully automatically by a Fetch robot with built-in RGBD sensors. It iterates between interaction analysis and interaction-driven reconstruction, scanning and reconstructing detected moveable parts one at a time, where both the articulated part detection and mesh reconstruction are carried out by neural networks. In the final step, all the remaining, non-articulated parts, including all the interior structures that had been exposed by prior part manipulations and subsequently scanned, are reconstructed to complete the acquisition. We demonstrate the performance of our method via qualitative and quantitative evaluation, ablation studies, comparisons to alternatives, as well as experiments in a real environment.Comment: Accepted to SIGGRAPH Asia 2023, project page at https://vcc.tech/research/2023/InterReco