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Radiation Damage of Crystal Polyesters

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Chemical Research in Chinese Universities 1993年第1期9卷 70-73页

作者： ZHANG Yi-qu, JI Dan-liang, LI Zhi-zhong, CHEN Xin-fang and TANG Ao-qing (Institute of Material Science, Jilin University, Changchun, 130023)luo yun-xia, yang Hong and JIANG Bing-zheng (Changchun Institute of Applied Chemistry, Changchun, 130023)

The change of crystal structures in polyethylene terephthalate (PET) and polyhexa methylene terephthalate (PHT) irradiated by γ-ray were investigated by using the methods of WAXD and SAXS. It was found that irradiation caused the crystal parameters of PET and PHT to lengthen, and the cell to expand; and at the same time, the long period and the thickness of lamellae were unchanged. These results indicate that the radiation damage of crystal polyesters causes the increase of lacunaries within the crystal polyester.

关键词： Radiation effect,Polyester wide angle Small angle X-ray scattering

Targeting capabilities of engineered extracellular vesicles for the treatment of neurological diseases

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Neural Regeneration Research 2025年第11期20卷 3076-3094页

作者： Xinyu yang Xiangyu Gao Xiaofan Jiang Kangyi Yue Peng luo Department of Neurosurgery Xijing HospitalFourth Military Medical UniversityXi’anShaanxi ProvinceChina

Recent advances in research on extracellular vesicles have significantly enhanced their potential as therapeutic agents for neurological *** to their therapeutic properties and ability to cross the blood–brain barrier,extracellular vesicles are recognized as promising drug delivery vehicles for various neurological conditions,including ischemic stroke,traumatic brain injury,neurodegenerative diseases,glioma,and ***,the clinical application of natural extracellular vesicles is hindered by their limited targeting ability and short clearance from the *** address these limitations,multiple engineering strategies have been developed to enhance the targeting capabilities of extracellular vesicles,thereby enabling the delivery of therapeutic contents to specific tissues or ***,this review aims to highlight the latest advancements in natural and targeting-engineered extracellular vesicles,exploring their applications in treating traumatic brain injury,ischemic stroke,Parkinson's disease,Alzheimer's disease,amyotrophic lateral sclerosis,glioma,and ***,we summarized recent clinical trials involving extracellular vesicles and discussed the challenges and future prospects of using targeting-engineered extracellular vesicles for drug delivery in treating neurological *** review offers new insights for developing highly targeted therapies in this field.

关键词： Alzheimer's disease amyotrophic lateral sclerosis engineered extracellular vesicles glioma ischemic stroke neurological diseases Parkinson's disease psychosis targeted drug delivery traumatic brain injury

人参皂苷Re对球囊损伤大鼠血管内膜增殖及TGF-β1/Smads信号通路的影响

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中草药 2017年第1期48卷 143-148页

作者：高晨盈王俊逸罗云梅高杨遵义医学院基础药理省部共建教育部重点实验室贵州遵义563000

目的探讨人参皂苷Re(GS-Re)对球囊损伤后大鼠颈动脉内膜增殖及TGF-β1/Smads信号通路的影响。方法 50只清洁级SD大鼠随机分为5组:假手术组,模型组,GS-Re低、中、高剂量(12.5、25.0、50.0 mg/kg)组。除假手术组外,其余组大鼠均采用2F球... 详细信息

目的探讨人参皂苷Re(GS-Re)对球囊损伤后大鼠颈动脉内膜增殖及TGF-β1/Smads信号通路的影响。方法 50只清洁级SD大鼠随机分为5组:假手术组,模型组,GS-Re低、中、高剂量(12.5、25.0、50.0 mg/kg)组。除假手术组外,其余组大鼠均采用2F球囊导管建立颈动脉球囊损伤模型,造模后次日开始ig给药,连续给药14 d后取损伤段颈动脉,行HE染色,观察血管形态学改变,用Leica光学显微镜测定血管腔面积(LA)、内膜面积(IA)、中膜面积(MA),并计算IA/MA。利用Real time RT-PCR法、免疫组织化学法分别检测转化生长因子β1(TGF-β1)、Smad2、Smad3的mRNA表达及蛋白水平的变化。结果与假手术组比较,模型组血管腔变窄(P<0.01);与模型组比较,GS-Re中、高剂量组血管内膜增生减轻(P<0.05、0.01)。与假手术组比较,模型组血管壁TGF-β1、Smad2、Smad3 mRNA水平及其蛋白表达均增高(P<0.01);与模型组比较,GS-Re中、高剂量组血管壁TGF-β1、Smad2、Smad3 mRNA水平下调,蛋白表达量也降低(P<0.05)。此外,GS-Re低剂量组血管壁TGF-β1 mRNA水平及p-Smad2蛋白的表达也下调(P<0.01)。结论 GS-Re可通过抑制TGF-β1/Smads通路发挥抑制血管内膜增殖的作用。

关键词：人参皂苷Re 球囊损伤内膜增殖转化生长因子-β1 Smad2/3

The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 86-96页

作者： Qianyun yun Wen-Biao Han Yi-yang Guo He Wang Minghui Du Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Shanghai Jiao Tong University School of Astronomy and Space Science University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou) University of Chinese Academy of Sciences Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu Province Key Laboratory of Quantum Theory and Applications of MoE Lanzhou University Institute of Theoretical Physics & Research Center of Gravitation Lanzhou University International Centre for Theoretical Physics Asia-Pacific (ICTP-AP) University of Chinese Academy of Sciences (UCAS) Center for Gravitational Wave Experiment National Microgravity Laboratory Institute of Mechanics Chinese Academy of Sciences

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EMRIs). This task is particularly challenging because EMRI signals are complex, lengthy, and faint. In this work, we introduce a2-layer convolutional neural network(CNN) approach to detect EMRI signals for space-borne detectors, achieving a true positive rate(TPR) of 96.9% at a 1% false positive rate(FPR) for signal-to-noise ratio(SNR) from 50 to 100. Especially, the key intrinsic parameters of EMRIs such as the mass, spin of the supermassive black hole(SMBH) and the initial eccentricity of the orbit can also be inferred directly by employing a neural network. The mass and spin of the SMBH can be determined at 99% and 92% respectively. This will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform model. This study underscores the potential of deep learning methods in EMRI data analysis, enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

青海与甘肃小秦艽7种指标成分含量的比较研究

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中国医院药学杂志 2017年第8期37卷 717-721页

作者：罗林云杨燕梅晋玲酒泉市中医院甘肃酒泉735000 甘肃中医药大学药学院甘肃兰州730000 中(藏)药资源研究所甘肃兰州730000

目的:比较青海与甘肃小秦艽中马钱苷酸、獐牙菜苦苷、6'-O-β-D-葡萄糖基龙胆苦苷、龙胆苦苷、獐芽菜苷、异荭草苷和异牡荆苷7种指标成分的含量,为小秦艽的合理使用提供依据。方法:采用UPLC法,色谱柱ACQUITY UPLC?BEH C18柱(2.1 mm×50 ... 详细信息

目的:比较青海与甘肃小秦艽中马钱苷酸、獐牙菜苦苷、6'-O-β-D-葡萄糖基龙胆苦苷、龙胆苦苷、獐芽菜苷、异荭草苷和异牡荆苷7种指标成分的含量,为小秦艽的合理使用提供依据。方法:采用UPLC法,色谱柱ACQUITY UPLC?BEH C18柱(2.1 mm×50 mm,1.7μm);流动相甲醇-0.04%磷酸水(A∶B)溶液梯度洗脱,流速0.3 mL·min-1;检测波长242 nm;柱温30℃。结果:马钱苷酸、獐牙菜苦苷、6'-O-β-D-葡萄糖基龙胆苦苷、龙胆苦苷、獐芽菜苷、异荭草苷和异牡荆苷分别在2.1~537.1,1.05~270,0.92~236,11.1~2 830,0.75~192,0.167~102,0.216~52.80μg范围内进样量与峰面积积分值线性关系良好(r≥0.999 5)。平均回收率97.72%~99.84%,RSD≤3.39%。青海产小秦艽和甘肃产小秦艽7种指标成分无显著性差异。结论:小秦艽指标成分含量较低,存在不合格风险较大,使用过程中要严格把握其质量。

关键词：青海甘肃小秦艽 UPLC 指标成分

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辉绿岩纤维/PVC复合材料的加工性能

武汉理工大学学报 2005年第4期27卷 13-15页

作者：鲁圣军熊传溪董丽杰罗杨云武汉理工大学材料科学与工程学院武汉430070

将辉绿岩纤维与PVC用XSS 30 0流变仪混炼,测得了转矩与时间的关系曲线。研究了PVC的塑化时间tm、扭时矩TTQ及平衡转矩TQS 与辉绿岩用量的关系和PVC的塑化时间与偶联剂用量的关系,以及预设加工温度及转速对混炼工艺的影响。研究结果表明... 详细信息

将辉绿岩纤维与PVC用XSS 30 0流变仪混炼,测得了转矩与时间的关系曲线。研究了PVC的塑化时间tm、扭时矩TTQ及平衡转矩TQS 与辉绿岩用量的关系和PVC的塑化时间与偶联剂用量的关系,以及预设加工温度及转速对混炼工艺的影响。研究结果表明,辉绿岩含量不超过30 % ,偶联剂用量不超过2 %时,加工能够顺利进行。最佳加工温度为178℃,最佳转速为4 0～5 0r/min。

关键词：聚氯乙烯辉绿岩加工性能

Exploring practical methods for detecting k-nonseparability in multipartite quantum states

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 255-256页

作者： Shunlong luo Academy of Mathematics and Systems Science Chinese Academy of Sciences

Quantum entanglement, referred to as “spooky action at a distance” by Einstein, is not only an intriguing and fascinating feature of quantum theory challenging our classical intuitions about locality and correlations, but also has practical and profound implications for quantum technologies. Initially described by Einstein, Podolsky and Rosen, as well as by Schro¨dinger, entanglement now has become a basic and crucial ingredient for both foundational and experimental investigations of the quantum world.

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基于数据挖掘技术的事故隐患预警方法研究

中国安全生产科学技术 2017年第7期13卷 11-17页

作者：马明焕王新浩许晓辉罗云杨凌国网吉林省电力有限公司吉林长春130000 中国地质大学(北京)工程技术学院北京100083 国网吉林省电力有限公司延边供电公司吉林延吉133000

为改良企业既有隐患排查治理方法,提高辨识效率,提升整改效果,应用并优化数据流滑动窗口模型、等价类变化算法、变化挖掘算法等数据挖掘技术,构建1种关联隐患预警方法,该方法以企业历史隐患数据为基础,通过挖掘实时隐患数据的关联规则,... 详细信息

为改良企业既有隐患排查治理方法,提高辨识效率,提升整改效果,应用并优化数据流滑动窗口模型、等价类变化算法、变化挖掘算法等数据挖掘技术,构建1种关联隐患预警方法,该方法以企业历史隐患数据为基础,通过挖掘实时隐患数据的关联规则,发布关联隐患的类型、存在可能性和变化模式等预警信息,指导企业进行针对性排查和整改。最后,以72家安全管理性质相似企业的28 957项隐患数据为例,验证该方法可行性。研究结果表明:该方法不但能挖掘关联隐患类型及其变化模式,而且预警准确率随置信度水平提升而不断提高。

关键词：事故隐患隐患辨识隐患整改数据挖掘等价类变换算法变化挖掘算法

Tilting homeostatic and dyshomeostatic microglial balance in health and disease:transforming growth factor-beta1 as a critical protagonist

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Neural Regeneration Research 2025年第10期20卷 2895-2897页

作者： Nicolas Hugues Yu luo Department of Molecular and Cellular Biosciences University of CincinnatiCincinnatiOHUSA Neuroscience Graduate Program University of CincinnatiCincinnatiOHUSA Division of Immunobiology Cincinnati Children’s Hospital Medical CenterUniversity of Cincinnati College of MedicineCincinnatiOHUSA

Adult microglia,by continuously sensing changes in their environment and communicating with nearly all brain cell types,are considered to be the immune sentinels of the *** the healthy central nervous system(CNS),microglia display a unique molecular homeostatic signature(i.e.,Tmem119,P2ry12,Sall1,Siglech,Gpr34,and Hexb)(Figure 1A).

关键词： Figure signature critical