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Osteogenic and anti-tumor Cu and Mn-doped borosilicate nanoparticles for syncretic bone repair and chemodynamic therapy in bone tumor treatment

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Bioactive Materials 2022年第6期7卷 1-15页

作者： libin pang Renliang Zhao Jing Chen Jingxin Ding Xiaochen Chen Wenwen Chai Xu Cui Xiaolin Li Deping Wang Haobo Pan School of Materials Science and Engineering Tongji UniversityShanghai201804China Department of Orthopedic Surgery and Shanghai Institute of Microsurgery on ExtremitiesShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghai200233China Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen518055China Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine Shanghai201203China

Critical bone defects caused by extensive excision of malignant bone tumor and the probability of tumor recurrence due to residual tumor cells make malignant bone tumor treatment a major clinical *** present therapeutic strategy concentrates on implanting bone substitutes for defect filling but suffers from failures in both enhancing bone regeneration and inhibiting the growth of tumor ***,Cu and Mn-doped borosilicate nanoparticles(BSNs)were developed for syncretic bone repairing and anti-tumor treatment,which can enhance bone regeneration through the osteogenic effects of Cu^(2+) and Mn^(3+) ions and meanwhile induce tumor cells apoptosis through the hydroxyl radicals produced by the Fenton-like reactions of Cu^(2+) and Mn^(3+) *** vitro study showed that both osteogenic differentiation of BMSCs and angiogenesis of endothelial cells were promoted by BSNs,and consistently the critical bone defects of rats were efficiently repaired by BSNs through in vivo ***,BSNs could generate hydroxyl radicals through Fenton-like reactions in the simulated tumor microenvironment,promote the generation of intracellular reactive oxygen species,and eventually induce tumor cell ***,subcutaneous tumors of mice were effectively inhibited by BSNs without causing toxic side effects to normal tissues and ***,Cu and Mn-doped BSNs developed in this work performed dual functions of enhancing osteogenesis and angiogenesis for bone regeneration,and inhibiting tumor growth for chemodynamic therapy,thus holding a great potential for syncretic bone repairing and anti-tumor therapy.

关键词： Borosilicate Bio-ceramics Bone regeneration Tumor therapy Chemodynamic therapy Bone tumor treatment

介孔硼硅酸盐玻璃微球药物载体的制备及其性能表征

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无机材料学报 2022年第7期37卷 780-786页

作者：庞力斌王德平同济大学材料科学与工程学院上海201804

介孔二氧化硅微粒具有化学稳定性好、比表面积大和表面易修饰等特点,作为药物载体具有良好的应用前景,但其缺乏生物活性且生物降解缓慢等在一定程度上限制了它的应用领域。为克服这些缺陷,寻找合适的药物载体已成为重要研究方向。与纯... 详细信息

介孔二氧化硅微粒具有化学稳定性好、比表面积大和表面易修饰等特点,作为药物载体具有良好的应用前景,但其缺乏生物活性且生物降解缓慢等在一定程度上限制了它的应用领域。为克服这些缺陷,寻找合适的药物载体已成为重要研究方向。与纯二氧化硅相比,硼硅酸盐玻璃具有良好的生物活性和更高的降解速率。基于此,本研究尝试合成介孔硼硅酸盐玻璃微球(MBGMs),并表征了其在负载和释放抗肿瘤药物盐酸阿霉素(DOX)过程中的载体特性和材料降解引发的各种功能性离子的释放行为。结果表明BMGMs具有约25 mg/g的DOX负载量,引入硼不仅可以调控MBGMs的化学活性和降解速率,而且较高硼含量的MBGMs可促进酸性条件下的药物释放,具有一定的酸性响应性。此外,MBGMs可在模拟体液中释放SiO_(4)^(4–)、BO_(3)^(3–)和Ca^(2+)等有益骨组织生长的功能性离子,并诱导生成羟基磷灰石,具备良好的离子缓释能力和体外矿化活性。因此,MBGMs作为一种新颖的药物载体材料,既可作为药物和功能离子的双重负载,又具有良好的生物活性和降解特性,在病理性骨缺损修复领域具有良好的应用前景。

关键词：药物载体硼硅酸盐玻璃酸性响应性生物活性材料

白光发光二极管用单基质全色荧光粉的研究进展

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硅酸盐学报 2010年第12期38卷 2366-2372页

作者：王志军庞立斌高少杰杨志平河北大学物理科学与技术学院外语教学部河北保定071002

综述了单基质全色荧光粉的研究进展,重点评述了近年来新出现的单基质两基色或三基色白光发射体系,如Ce3+/Eu2+共激活的硼酸盐、氯铝酸盐等两基色体系,Eu2+/Mn2+共激活的氯硅酸盐、硼磷酸盐等三基色体系;同时分析该类材料及其应用的研究... 详细信息

综述了单基质全色荧光粉的研究进展,重点评述了近年来新出现的单基质两基色或三基色白光发射体系,如Ce3+/Eu2+共激活的硼酸盐、氯铝酸盐等两基色体系,Eu2+/Mn2+共激活的氯硅酸盐、硼磷酸盐等三基色体系;同时分析该类材料及其应用的研究现状和发展方向。

关键词：白光发光二极管单基质白色发光荧光粉

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马鞍山市古树名木资源特征分析及保护建议

安徽林业科技 2019年第6期45卷 44-47页

作者：范云潘立斌花山区林业局安徽马鞍山243000 马鞍山市自然资源和规划局/林业局安徽马鞍山243000

本文在对马鞍山市古树名木普查材料统计整理的基础上,分析了全市古树名木的数量、种类、分布及生长状况特征。结果表明,马鞍山市共有古树名木171株,其中一级古树5株、二级古树19株、三级古树146株,名木1株;隶属于23科33属36种。古树名... 详细信息

本文在对马鞍山市古树名木普查材料统计整理的基础上,分析了全市古树名木的数量、种类、分布及生长状况特征。结果表明,马鞍山市共有古树名木171株,其中一级古树5株、二级古树19株、三级古树146株,名木1株;隶属于23科33属36种。古树名木植物区系过渡性特征明显,以亚热带、北温带分布为主,热带成分占一定的比例。根据调查结果有针对性地提出了保护建议,旨在为全市古树名木保护工作提供借鉴和参考。

关键词：古树名木特征保护建议马鞍山市

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畜牧业高科技项目的投资风险评价

贵州农业科学 2013年第7期41卷 146-149页

作者：王文青庞立斌乔立娟王秀芳河北农业大学经济贸易学院河北保定071001 河北省哲学社会科学研究基地河北保定071001 河北省软科学研究基地河北保定071001 河北大学外语教研部电教室河北保定071002

为了探明畜牧业高科技项目的投资风险,对其引进私人风险提供理论指导,在分析畜牧业高科技项目风险特点的基础上,建立风险评估指标体系,基于指标具有不确定性的特点,采用数据包络分析(DEA)和模糊综合评价相结合的方法进行风险评估研究,... 详细信息

为了探明畜牧业高科技项目的投资风险,对其引进私人风险提供理论指导,在分析畜牧业高科技项目风险特点的基础上,建立风险评估指标体系,基于指标具有不确定性的特点,采用数据包络分析(DEA)和模糊综合评价相结合的方法进行风险评估研究,并采用实例进行验证。结果表明:该组合模型简单易行,解决了DEA方法不能评价不确定性指标的不足,同时考虑到了评价项目之间的联系,避免了模糊综合评价方法中人为确定权重的影响。

关键词：畜牧业高科技项目投资风险数据包络分析模糊综合评价

Dynamics of 2×2 matrix non-Hermitian quantum systems on Bloch sphere

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Communications in Theoretical Physics 2024年第4期76卷 66-71页

作者： libin Fu Graduate School of China Academy of Engineering Physics Beijing 100193China

By casting evolution to the Bloch sphere, the dynamics of 2 × 2 matrix non-Hermitian systems are investigated in detail. This investigation reveals that there are four kinds of dynamical modes for such systems. The different modes are classified by different kinds of fixed points, namely,the elliptic point, spiral point, critical node, and degenerate point. The Hermitian systems and the unbroken PT non-Hermitian cases belong to the category with elliptic points. The degenerate point just corresponds to the systems with exceptional point(EP). The topological properties of the fixed point are also discussed. It is interesting that the topological charge for the degenerate point is two, while the others are one.

关键词： non-Hermitian quantum system two-level system dynamics on the Bloch sphere PT-symmetry fixed points

A Novel Vibration-Based Self-Adapting Method to Acquire Real-Time Following Distance for Virtually Coupled Trains

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 27-39页

作者： Qinglai Zhang Jianmin Gao Qing Wu Qinglie He libin Tie Wanming Zhai Shengyang Zhu State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong University IEEE Centre for Railway Engineering Central Queensland University National Energy Railway Equipment Co. LTDNational Energy Group

Virtual coupling(VC) is an emerging technology for addressing the shortage of rail transportation capacity. As a crucial enabling technology, the VC-specific acquisition of train information, especially train following distance(TFD), is *** this paper, a novel method is proposed to acquire real-time TFD by analyzing the vibration response of the front and following trains, during which only onboard accelerometers and speedometers are required. In contrast to the traditional arts of train positioning, this method targets a relative position between two adjacent trains in VC operation, rather than the global positions of the trains. For this purpose, an adaptive system containing three strategies is designed to cope with possible adverse factors in train operation. A vehicle dynamics simulation of a heavy-haul railway is implemented for the evaluation of feasibility and performance. Furthermore, a validation is conducted using a set of data measured from in-service Chinese high-speed trains. The results indicate the method achieves satisfactory estimation accuracy using both simulated and actual data. It has favorable adaptability to various uncertainties possibly encountered in train operation. Additionally, the method is preliminarily proven to adapt to different locomotive types and even different rail transportation modes. In general, such a method with good performance, low-cost, and easy implementation is promising to apply.

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System of developing scale modeling and simulation for URAV

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Journal of Systems Engineering and Electronics 2008年第6期19卷 1295-1300页

作者： Jin Guodong Lu libin The Second Artillery Engineering Inst. Xi' an 710025 P. R. China

The unmanned reconnaissance aerial vehicle （URAV） plays an important role in battlefield monitoring and information acquiring because of its advantage of zero casualties, and has thus attracted considerable attention of the world. The URAV was developed rapidly in our country, however, no scientific assessment methods have yet been provided owing to different fight requirements of armed forces. Considering the demand of the missile artillery on the martial information, the model of information requirement of combat force, the reconnaissance ability of URAV, the survivability of URAV, and the task reliability of URAV were constructed, respectively. By synthesizing the mathematic models above, the model of developing demand was constructed on the URAV equipment. It simulated and calculated some URAV equipment developing scales, and explored a way of settling the problem of URAV equipment developing demand.

关键词： unmanned reconnaissance aerial vehicle demand survivability reliability

Comparison of machine learning methods for ground settlement prediction with different tunneling datasets

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第6期13卷 1274-1289页

作者： libin Tang SeonHong Na Department of Civil Engineering McMaster UniversityHamiltonONL8S 4L7Canada

This study integrates different machine learning(ML) methods and 5-fold cross-validation(CV) method to estimate the ground maximal surface settlement(MSS) induced by *** further investigate the applicability of artificial intelligent(AI) based prediction through a comparative study of two tunnelling datasets with different sizes and *** different ML approaches,including support vector machine(SVM),random forest(RF),back-propagation neural network(BPNN),and deep neural network(DNN),are *** techniques,*** swarm optimization(PSO) and grid search(GS)methods,are adopted for hyperparameter *** assess the reliability and efficiency of the predictions,three performance evaluation indicators,including the mean absolute error(MAE),root mean square error(RMSE),and Pearson correlation coefficient(R),are *** results indicate that proposed models can accurately and efficiently predict the settlement,while the RF model outperforms the other three methods on both *** difference in model performance on two datasets(Datasets A and B) reveals the importance of data quality and *** analysis indicates that Dataset A is more significantly affected by geological conditions,while geometric characteristics play a more dominant role on Dataset B.

关键词： Surface settlement Tunnel construction Machine learning(ML) Hyperparameter optimization Cross-validation(CV)