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| 1 | Accelerating DNN-based 3D point cloud processing for mobile computing显示文摘3D point cloud data,which are produced by various 3D sensors such as LIDAR and stereo cameras,have been widely deployed by industry leaders such as Google,Uber,Tesla,and Mobileye,for mobile robotic applications such as autonomous driving and humanoid robots.Point cloud data,which are composed of reliable depth information,can provide accurate location and shape characteristics for scene understanding,such as object recognition and semantic segmentation.However,deep neural networks(DNNs),which directly consume point cloud data,are particularly computation-intensive because they have to not only perform multiplication-and-accumulation(MAC)operations but also search neighbors from the irregular 3D point cloud data.Such a task goes beyond the capabilities of general-purpose processors in realtime to figure out the solution as the scales of both point cloud data and DNNs increase from application to application.We present the first accelerator architecture that dynamically configures the hardware onthe-fly to match the computation of both neighbor point search and MAC computation for point-based DNNs.To facilitate the process of neighbor point search and reduce the computation costs,a grid-based algorithm is introduced to search neighbor points from a local region of grids.Evaluation results based on the scene recognition and segmentation tasks show that the proposed design harvests 16.4x higher performance and saves 99.95%of energy than an NVIDIA Tesla K40 GPU baseline in point cloud scene understanding applications. | Bosheng LIU Xiaoming CHEN Yinhe HAN Jiajun LI Haobo XU Xiaowei LI | 2019 | Science China(Information Sciences)2019，62，11： | 4 |
| 2 | Fractal Design Boosts Extrusion-Based 3D Printing of Bone-Mimicking Radial-Gradient Scaffolds显示文摘Although extrusion-based three-dimensional(EB-3D)printing technique has been widely used in the complex fabrication of bone tissue-engineered scaffolds,a natural bone-like radial-gradient scaffold by this processing method is of huge challenge and still unmet.Inspired by a typical fractal structure of Koch snowflake,for the first time,a fractal-like porous scaffold with a controllable hierarchical gradient in the radial direction is presented via fractal design and then implemented by EB-3D printing.This radial-gradient structure successfully mimics the radially gradual decrease in porosity of natural bone from cancellous bone to cortical bone.First,we create a design-to-fabrication workflow with embedding the graded data on basis of fractal design into digital processing to instruct the extrusion process of fractal-like scaffolds.Further,by a combination of suitable extruded inks,a series of bone-mimicking scaffolds with a 3-iteration fractal-like structure are fabricated to demonstrate their superiority,including radial porosity,mechanical property,and permeability.This study showcases a robust strategy to overcome the limitations of conventional EB-3D printers for the design and fabrication of functionally graded scaffolds,showing great potential in bone tissue engineering. | Huawei Qu Zhenyu Han Zhigang Chen Lan Tang Chongjian Gao Kaizheng Liu Haobo Pan Hongya Fu Changshun Ruan | 2021 | Research2021，，1： | 2 |
| 3 | Shape controllable preparations of PbS nanocrystals using cysteine as the precursor of S^(2-)ions显示文摘Flowerlike, spherical and cubic PbS nanoparticles have been successfully synthesized by refluxing cysteine and lead nitrate in an alkaline solu- tion. The influences of the cysteine to Pb2+ molar ratio, the pH value of the reaction mixture as well as the refluxing time on the shape of PbS nanoparticles were investigated. Detailed experimental results demonstrated that a higher molar ratio of cysteine to Pb2+ (5.2:1) and shorter refluxing time favor the for- mation of flowerlike PbS nanoparticles at pH 9.0. While lower pH value (8.0) favors the formation of spherical PbS nanoparticles, and higher pH value (10.0), however, favors the formation of cubic PbS nanoparticles. The mechanism for the shape control of PbS nanoparticles is discussed. | BAO Haobo HAN Wei GAO Mingyuan | 2006 | Chinese Science Bulletin2006，51，21： | 1 |
| 4 | Key considerations on the development of biodegradable biomaterials for clinical translation of medical devices:With cartilage repair products as an example显示文摘With the interdisciplinary convergence of biology,medicine and materials science,both research and clinical translation of biomaterials are progressing at a rapid pace.However,there is still a huge gap between applied basic research on biomaterials and their translational products-medical devices,where two significantly different perspectives and mindsets often work independently and non-synergistically,which in turn significantly increases financial costs and research effort.Although this gap is well-known and often criticized in the biopharmaceutical industry,it is gradually widening.In this article,we critically examine the developmental pipeline of biodegradable biomaterials and biomaterial-based medical device products.Then based on clinical needs,market analysis,and relevant regulations,some ideas are proposed to integrate the two different mindsets to guide applied basic research and translation of biomaterial-based products,from the material and technical perspectives.Cartilage repair substitutes are discussed here as an example.Hopefully,this will lay a strong foundation for biomaterial research and clinical translation,while reducing the amount of extra research effort and funding required due to the dissonance between innovative basic research and commercialization pipeline. | Li Wang Xiaolei Guo Jiaqing Chen Zhen Zhen Bin Cao Wenqian Wan Yuandong Dou Haobo Pan Feng Xu Zepu Zhang Jianmei Wang Daisong Li Quanyi Guo Qing Jiang Yanan Du Jiakuo Yu Boon Chin Heng Qianqian Han Zigang Ge | 2022 | Bioactive Materials2022，7，3： | 0 |
| 5 | Fractal Design Boosts Extrusion-Based 3D Printing of Bone-Mimicking Radial-Gradient Scaffolds显示文摘Although extrusion-based three-dimensional(EB-3D)printing technique has been widely used in the complex fabrication of bone tissue-engineered scaffolds,a natural bone-like radial-gradient scaffold by this processing method is of huge challenge and still unmet.Inspired by a typical fractal structure of Koch snowflake,for the first time,a fractal-like porous scaffold with a controllable hierarchical gradient in the radial direction is presented via fractal design and then implemented by EB-3D printing.This radial-gradient structure successfully mimics the radially gradual decrease in porosity of natural bone from cancellous bone to cortical bone.First,we create a design-to-fabrication workflow with embedding the graded data on basis of fractal design into digital processing to instruct the extrusion process of fractal-like scaffolds.Further,by a combination of suitable extruded inks,a series of bone-mimicking scaffolds with a 3-iteration fractal-like structure are fabricated to demonstrate their superiority,including radial porosity,mechanical property,and permeability.This study showcases a robust strategy to overcome the limitations of conventional EB-3D printers for the design and fabrication of functionally graded scaffolds,showing great potential in bone tissue engineering. | Huawei Qu Zhenyu Han Zhigang Chen Lan Tang Chongjian Gao Kaizheng Liu Haobo Pan Hongya Fu Changshun Ruan | 2022 | Research2022，，1： | 0 |
| 6 | Study the lipidoid nanoparticle mediated genome editing protein delivery using 3D intestinal tissue model显示文摘Lipid nanoparticles are promising carriers for oral drug delivery.For bioactive cargos with intracellular targets,e.g.gene-editing proteins,it is essential for the cargo and carrier to remain complexed after crossing the epithelial layer of intestine in order for the delivery system to transport the cargos inside targeted cells.However,limited studies have been conducted to verify the integrity of cargo/carrier nanocomplexes and their capability in facilitating cargo delivery intracellularly after the nanocomplex crossing the epithelial barrier.Herein,we used a traditional 2D transwell system and a recently developed 3D tissue engineered intestine model and demonstrated the synthetic lipid nanoparticle(carrier)and protein(cargo)nanocomplexes are able to cross the epithelial layer and deliver the protein cargo inside the underneath cells.We found that the EC16-63 LNP efficiently encapsulated the GFP-Cre recombinase,penetrated the intestinal monolayer cells in both the 2D cell culture and 3D tissue models through temporarily interrupting the tight junctions between epithelial layer.After transporting across the intestinal epithelia,the EC16-63 and GFP-Cre recombinase nanocomplexes can enter the underneath cells to induce gene recombination.These results suggest that the in vitro 3D intestinal tissue model is useful for identifying effective lipid nanoparticles for potential oral drug delivery. | Tao Yang Haobo Han Ying Chen Liu Yang Rachael Parker Yamin Li David L.Kaplan Qiaobing Xu | 2021 | Bioactive Materials2021，6，11： | 0 |
| 7 | A Hybrid Parallel Strategy for Isogeometric Topology Optimization via CPU/GPU Heterogeneous Computing显示文摘This paper aims to solve large-scale and complex isogeometric topology optimization problems that consumesignificant computational resources. A novel isogeometric topology optimization method with a hybrid parallelstrategy of CPU/GPU is proposed, while the hybrid parallel strategies for stiffness matrix assembly, equationsolving, sensitivity analysis, and design variable update are discussed in detail. To ensure the high efficiency ofCPU/GPU computing, a workload balancing strategy is presented for optimally distributing the workload betweenCPU and GPU. To illustrate the advantages of the proposedmethod, three benchmark examples are tested to verifythe hybrid parallel strategy in this paper. The results show that the efficiency of the hybrid method is faster thanserial CPU and parallel GPU, while the speedups can be up to two orders of magnitude. | Zhaohui Xia Baichuan Gao Chen Yu Haotian Han Haobo Zhang Shuting Wang | 2024 | Computer Modeling in Engineering & Sciences2024，138，2： | 0 |
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