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Synergistic injection of the thermosensitive hydrogel and Bi-based alloy bone cement for orthopaedic repair

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Science China Technological Sciences 2024年第7期67卷 2153-2163页

作者： liu sicong LI Lei JIANG ChanYuan WANG QianYu DENG ZhongShan Key Laboratory of Cryogenic Science and Technology Technical Institute of Physics and Chemistry Chinese Academy of Sciences School of Future Technology University of Chinese Academy of Sciences Department of Cleft Lip and Palate Plastic Surgery Hospital Chinese Academy of Medical Sciences and Peking Union Medical College

Low-melting-point alloys have the advantages of good biocompatibility, plasticity, and near-bone mechanical strength, making them suitable as bone defect-filling materials for direct injection into defective bone sites. However, using low-melting-point alloys for orthopedic implants poses the challenge of causing thermal damage to the surrounding bone tissue during injection. In this study, a thermosensitive hydrogel is prepared and synergistically injected into the bone defect site with BiInSn. BiInSn solidifies and releases heat during injection, while the thermosensitive hydrogel absorbs heat and transforms into a gel state,encapsulating BiInSn. Therefore, the surrounding bone tissue is effectively protected from thermal damage. When BiInSn and the thermosensitive hydrogel were injected synergistically, in vitro thermal experiments revealed that the maximum temperature of the surrounding bone tissue reached 42°C. This temperature is below the 47°C threshold, which causes permanent damage to bone tissues. In vivo experiments demonstrated that rats in the BiInSn-thermosensitive hydrogel group exhibited better recovery at the bone defect sites. These results suggest that the synergistic injection of Bi-based alloy and thermosensitive hydrogel is beneficial in reducing thermal damage to bone tissue, guiding bone tissue growth, and effectively facilitating the repair of bone defects.

关键词： bone defects thermosensitive hydrogel thermal damage to tissue bismuth-based alloy bone cement

A method to interpret fracture aperture of rock slope using adaptive shape and unmanned aerial vehicle multi-angle nap-of-the-object photogrammetry

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 924-941页

作者： Mingyu Zhao Shengyuan Song Fengyan Wang Chun Zhu Dianze liu sicong Wang College of Construction Engineering Jilin UniversityChangchun130026China College of Geo-Exploration Science and Technology Jilin UniversityChangchun130026China Institute of Engineering Geology and Geohazards Hohai UniversityNanjing210098China

The aperture of natural rock fractures significantly affects the deformation and strength properties of rock masses,as well as the hydrodynamic properties of fractured rock masses.The conventional measurement methods are inadequate for collecting data on high-steep rock slopes in complex mountainous regions.This study establishes a high-resolution three-dimensional model of a rock slope using unmanned aerial vehicle(UAV)multi-angle nap-of-the-object photogrammetry to obtain edge feature points of fractures.Fracture opening morphology is characterized using coordinate projection and transformation.Fracture central axis is determined using vertical measuring lines,allowing for the interpretation of aperture of adaptive fracture shape.The feasibility and reliability of the new method are verified at a construction site of a railway in southeast Tibet,China.The study shows that the fracture aperture has a significant interval effect and size effect.The optimal sampling length for fractures is approximately 0.5e1 m,and the optimal aperture interpretation results can be achieved when the measuring line spacing is 1%of the sampling length.Tensile fractures in the study area generally have larger apertures than shear fractures,and their tendency to increase with slope height is also greater than that of shear fractures.The aperture of tensile fractures is generally positively correlated with their trace length,while the correlation between the aperture of shear fractures and their trace length appears to be weak.Fractures of different orientations exhibit certain differences in their distribution of aperture,but generally follow the forms of normal,log-normal,and gamma distributions.This study provides essential data support for rock and slope stability evaluation,which is of significant practical importance.

关键词： Unmanned aerial vehicle(UAV) photogrammetry High-steep rock slope Fracture aperture Interval effect Size effect Parameter interpretation

Hodgkin's lymphoma:2023 update on treatment

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Cancer Biology & Medicine 2024年第4期21卷 269-273页

作者： sicong Zhang Xianming liu Lanfang Li Lihua Qiu Zhengzi Qian Shiyong Zhou Xianhuo Wang Huilai Zhang Department of Lymphoma Tianjin Medical University Cancer Institute&HospitalNational Key Laboratory of Druggability Evaluation and Systematic Translational MedicineNational Clinical Research Center for CancerTianjin's Clinical Research Center for CancerKey Laboratory of Cancer Prevention and TherapyTianjinThe Sino-US Center for Lymphoma and Leukemia ResearchTianjin 300060China

Hodgkin's lymphoma(HL)is a common,malignant hematological tumor of the lymph nodes and lymphatic system,accounting for 10%of all lymphomas.HL comprises 2 main subtypes:classical HL(cHL)and nodular lymphocyte predomina... 详细信息

关键词： lymphoma treatment predominant

CrowdDesigner:information-rich and personalized product description generation

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Frontiers of Computer Science 2022年第6期16卷 183-185页

作者： Qiuyun ZHANG Bin GUO sicong liu Jiaqi liu Zhiwen YU School of Computer Science Northwestern Polytechnical UniversityXi'an 710072China

1 Introduction Withthe rapid development of the E-commerce,more consumers turn to shop online.When online shoppers search for products using keywords,the related products appear with their brief descriptions.We conduct a real-world survey and find that most shoppers are dissatisfied with the existing"onefit-all product descriptions"and they have to spend more time to scan detail pages.However,handcrafting the attractive product descriptions is always costly.

关键词： attractive Designer spend

Confined Mn^(2+) enables effective aerobic oxidation catalysis

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Science China Chemistry 2024年第5期67卷 1545-1553页

作者： Desheng Yuan sicong Ma Xiao Kong Chi Zhang Lin Chen Chengsheng Yang Lihua Wang Zhen liu Lin Ye Yongmei liu Rui Ma Zhi-Pan liu Yifeng Zhu Yong Cao Xinhe Bao Department of Chemical Physics University of Science and Technology of ChinaHefei 230026China Department of Chemistry Shanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsCollaborative Innovation Center of Chemistry for Energy MaterialsFudan UniversityShanghai 200438China Key Laboratory of Synthetic and Self-Assembly Chemistry for Organic Functional Molecules Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China School of Materials and Chemistry University of Shanghai for Science and TechnologyShanghai 200093China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China Institute of Advanced Fluorine-Containing Materials Zhejiang Normal UniversityJinhua 321004China State Key Laboratory of Catalysis National Laboratory for Clean EnergyCollaborative Innovation Center of Chemistry for Energy MaterialsDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China

Effective and mild activation of O_(2) is essential but challenging for aerobic oxidation. In heterogeneous catalysis, high-valence manganese oxide(e.g., +4) is known to be active for the oxidation, whereas divalent MnO is ineffective due to its limited capacity to supply surface oxygen and its thermodynamically unstable structure when binding O_(2) in reaction conditions. Inspired by natural enzymes that rely on divalent Mn^(2+), we discovered that confining Mn^(2+) onto the Mn_(2)O_(3) surface through a dedicated calcination process creates highly active catalysts for the aerobic oxidation of 5-hydroxymethylfurfural, benzyl alcohol, and CO.The Mn_(2)O_(3)-confined Mn^(2+) is undercoordinated and efficiently mediates O_(2) activation, resulting in 2–3 orders of magnitude higher activity than Mn_(2)O_(3) alone. Through low-temperature infrared spectroscopy, we distinguished low-content Mn^(2+) sites at Mn_(2)O_(3) surface, which are difficult to be differentiated by X-ray photoelectron spectroscopy. The combination of in-situ energydispersive X-ray absorption spectroscopy and X-ray diffraction further provides insights into the formation of the newly identified active Mn^(2+) sites. By optimizing the calcination step, we were able to increase the catalytic activity threefold further.The finding offers promising frontiers for exploring active oxidation catalysts by utilizing the confinement of Mn^(2+)and oftenignored calcination skills.

关键词： confinement catalysis manganese oxide aerobic oxidation divalent Mn^(2+) operando spectroscopies

Denoising enabled channel estimation for underwater acoustic communications:A sparsity-aware model-driven learning approach

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Intelligent and Converged Networks 2023年第1期4卷 1-14页

作者： sicong liu Younan Mou Xianyao Wang Danping Su Ling Cheng School of Informatics Xiamen UniversityXiamen 361005China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China the Information Engineering University of the WitwatersrandJohannesburg 2050South Africa

It has always been difficult to achieve accurate information of the channel for underwater acoustic communications because of the severe underwater propagation conditions,including frequency-selective property,high relative mobility,long propagation latency,and intensive ambient noise,etc.To this end,a deep unfolding neural network based approach is proposed,in which multiple layers of the network mimic the iterations of the classical iterative sparse approximation algorithm to extract the inherent sparse features of the channel by exploiting deep learning,and a scheme based on the Sparsity-Aware DNN(SA-DNN)for UAC estimation is proposed to improve the estimation accuracy.Moreover,we propose a Denoising Sparsity-Aware DNN(DeSA-DNN)based enhanced method that integrates a denoising CNN module in the sparsity-aware deep network,so that the degradation brought by intensive ambient noise could be eliminated and the estimation accuracy can be further improved.Simulation results demonstrate that the performance of the proposed schemes is superior to the state-of-the-art compressed sensing based and iterative sparse recovery schems in the aspects of channel recovery precision,pilot overhead,and robustness,particularly under unideal circumstances of intensive ambient noise or inadequate measurement pilots.

关键词： Orthogonal Frequency Division Multiplexing(OFDM) Underwater Acoustic Communications(UAC) sparse recovery deep learning sparse learning denoising approximate message passing

Confined Mnenables effective aerobic oxidation catalysis

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Science China Chemistry 2024年

作者： Desheng Yuan sicong Ma Xiao Kong Chi Zhang Lin Chen Chengsheng Yang Lihua Wang Zhen liu Lin Ye Yongmei liu Rui Ma Zhipan liu Yifeng Zhu Yong Cao Xinhe Bao Institute of Advanced Fluorine-Containing Materials Zhejiang Normal University Department of Chemical Physics University of Science and Technology of China School of Materials and Chemistry University of Shanghai for Science and Technology Department of Chemistry Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials Collaborative Innovation Center of Chemistry for Energy Materials Fudan University Key Laboratory of Synthetic and Self-Assembly Chemistry for Organic Functional Molecules Shanghai Institute of Organic ChemistryChinese Academy of Sciences Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute Chinese Academy of Sciences State Key Laboratory of Catalysis National Laboratory for Clean Energy Collaborative Innovation Center of Chemistry for Energy Materials Dalian Institute of Chemical Physics Chinese Academy of Sciences

Effective and mild activation of O2is essential but challenging for aerobic oxidation. In heterogeneous catalysis, high-valence manganese oxide(e.g., +4) is known to be active for the oxidation, whereas divalent MnO is ineffective due to its limited capacity to supply surface oxygen and its thermodynamically unstable structure when binding O2in reaction conditions. Inspired by natural enzymes that rely on divalent Mn2+, we discovered that confining Mn2+onto the Mn2O3surface through a dedicated calcination process creates highly active catalysts for the aerobic oxidation of 5-hydroxymethylfurfural, benzyl alcohol, and CO.The Mn2O3-confined Mn2+is undercoordinated and efficiently mediates O2activation, resulting in 2–3 orders of magnitude higher activity than Mn2O3alone. Through low-temperature infrared spectroscopy, we distinguished low-content Mn2+sites at Mn2O3surface, which are difficult to be differentiated by X-ray photoelectron spectroscopy. The combination of in-situ energydispersive X-ray absorption spectroscopy and X-ray diffraction further provides insights into the formation of the newly identified active Mn2+sites. By optimizing the calcination step, we were able to increase the catalytic activity threefold further.The finding offers promising frontiers for exploring active oxidation catalysts by utilizing the confinement of Mn2+and oftenignored calcination skills.

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Sparsity-Aware Channel Estimation for mmWave Massive MIMO: A Deep CNN-Based Approach

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China Communications 2021年第6期18卷 162-171页

作者： sicong liu Xiao Huang Department of Information&Communication Engineering School of InformaticsXiamen UniversityXiamen 361005China

The deep convolutional neural network(CNN)is exploited in this work to conduct the challenging channel estimation for mmWave massive multiple input multiple output(MIMO)systems.The inherent sparse features of the mmWave massive MIMO channels can be extracted and the sparse channel supports can be learnt by the multi-layer CNN-based network through training.Then accurate channel inference can be efficiently implemented using the trained network.The estimation accuracy and spectrum efficiency can be further improved by fully utilizing the spatial correlation among the sparse channel supports of different antennas.It is verified by simulation results that the proposed deep CNN-based scheme significantly outperforms the state-of-the-art benchmarks in both accuracy and spectrum efficiency.

关键词： deep convolutional neural networks deep learning sparse channel estimation mmWave massive MIMO

生物可降解聚酯/生物陶瓷3D打印骨组织工程支架研究进展

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复合材料学报 2024年第4期41卷 1672-1693页

作者：刘嗣聪刘宏治殷亚然浙江理工大学材料科学与工程学院杭州310018 浙大宁波理工学院材料科学与工程学院宁波315100

移植骨植入物是目前治疗骨缺损的公认有效手段之一。生物可降解聚酯/生物陶瓷复合材料结合了生物可降解聚酯的良好力学性能、可降解性能和生物陶瓷的成骨活性,为骨植入物材料提供了新的选择。骨组织工程通过模拟骨骼微环境,加速骨缺损... 详细信息

移植骨植入物是目前治疗骨缺损的公认有效手段之一。生物可降解聚酯/生物陶瓷复合材料结合了生物可降解聚酯的良好力学性能、可降解性能和生物陶瓷的成骨活性,为骨植入物材料提供了新的选择。骨组织工程通过模拟骨骼微环境,加速骨缺损修复。将生物可降解聚酯/生物陶瓷复合材料制备成骨组织工程支架,能进一步加快骨修复进程。3D打印技术的引入能使生物可降解聚酯/生物陶瓷骨组织工程支架的制备过程精确、可重复且具备高自由度,展现出了良好的发展前景。本文阐述了骨组织工程支架应具备的各项性能,总结了近年来国内外学者对生物可降解聚酯/生物陶瓷骨组织工程支架上述性能的改善策略,并展望未来该研究领域的发展方向。

关键词：生物可降解聚酯生物陶瓷 3D打印骨组织工程支架骨修复