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Metallurgical performance evaluation of space-weathered Chang’e-5 lunar soil

International Journal of Minerals,Metallurgy and Materials 2024年第6期31卷 1241-1248页

作者： Chen Li Wenhui Ma Yang Li Kuixian wei Center for lunar and Planetary Sciences Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China Faculty of Metallurgical and Energy Engineering Kunming University of Science and TechnologyKunming 650093China

Space metallurgy is an interdisciplinary field that combines planetary space science and metallurgical *** involves systematic and theoretical engineering technology for utilizing planetary resources in ***,space metallurgy on the Moon is challenging because the lunar surface has experienced space weathering due to the lack of atmosphere and magnetic field,making the mi-crostructure of lunar soil differ from that of minerals on the *** this study,scanning electron microscopy and transmission electron microscopy analyses were performed on Chang’e-5 powder lunar soil *** microstructural characteristics of the lunar soil may drastically change its metallurgical *** main special structure of lunar soil minerals include the nanophase iron formed by the impact of micrometeorites,the amorphous layer caused by solar wind injection,and radiation tracks modified by high-energy particle rays inside mineral *** nanophase iron presents a wide distribution,which may have a great impact on the electromagnetic prop-erties of lunar *** ions injected by solar wind may promote the hydrogen reduction *** widely distributed amorph-ous layer and impact glass can promote the melting and diffusion process of lunar ***,although high-energy events on the lun-ar surface transform the lunar soil,they also increase the chemical activity of the lunar *** is a property that earth samples and tradi-tional simulated lunar soil *** application of space metallurgy requires comprehensive consideration of the unique physical and chemical properties of lunar soil.

关键词： space metallurgy Chang’e-5 lunar soil space weathering metallurgical performance

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淋巴细胞胞质蛋白2在恶性肿瘤发生与发展过程中的免疫调节机制

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中国生物化学与分子生物学报 2024年第1期40卷 10-17页

作者：魏琳韩英伦刘欣辽宁师范大学生命科学学院七鳃鳗研究中心辽宁大连116029 大连工业大学海洋食品精深加工关键技术省部共建协同创新中心辽宁大连116034

淋巴细胞胞质蛋白2(lymphocyte cytosolic protein 2,LCP2)是一种衔接蛋白质,在T细胞受体信号通路中扮演重要角色,激活下游信号因子以完成机体的免疫应答过程。LCP2也在恶性肿瘤的发生发展与转移中发挥重要作用,其高表达会导致不良的预... 详细信息

淋巴细胞胞质蛋白2(lymphocyte cytosolic protein 2,LCP2)是一种衔接蛋白质,在T细胞受体信号通路中扮演重要角色,激活下游信号因子以完成机体的免疫应答过程。LCP2也在恶性肿瘤的发生发展与转移中发挥重要作用,其高表达会导致不良的预后效果,降低患者生存率,其具体作用机制涉及多条信号通路。本文不仅对LCP2的分子结构以及基本功能进行了介绍,而且重点综合评述了LCP2通过参与NF-κB、MAPK、JAK/STAT以及PD-1/PD-L1信号通路调控恶性肿瘤发生与发展的分子机制。总结了LCP2作为肿瘤治疗靶点的潜在作用,为将来用于相关疾病的诊断、治疗和标志物筛选等提供理论基础和参考依据。

关键词：淋巴细胞胞质蛋白2 衔接蛋白质信号通路恶性肿瘤

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MXene: From synthesis to environment remediation

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中国化学工程学报（英文版） 2023年第9期

作者： Ali Nikkhah Hasan Nikkhah Hadis langari Alireza Nouri Abdul Wahab Mohammad ang wei lun Ng law Yong Rosiah Rohani Ebrahim Mahmoudi

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Relationship between climatic factors and the flea index of two plague hosts in Xilingol League, Inner Mongolia Autonomous Region

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生物安全与健康(英文) 2024年第4期06卷 244-250页

作者： Zhang Lu Wang Zihao Chang Nan Shang Meng wei Xiaohui Li Ke Li Jinyu lun Xinchang Ji Haoqiang Liu Qiyong National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Institute for Communicable Disease Control and Prevention Chinese Centre for Disease Control and Prevention WHO Collaborating Centre for Vector Surveillance and Management Beijing China School of Public Health Nanjing Medical University Nanjing China School of Public Health Cheeloo College Medicine Shandong University Jinan China

Climatic factors are closely associated with the occurrence of vector-borne diseases, and they also influence the distribution of vectors. The occurrence of plague is closely related to the population dynamics of fleas and their host animals, as well as climatic conditions. This study focused on Xilingol League, utilizing climatic and flea index data from 2012 to 2021. Spearman correlation and "Boruta" importance analysis were conducted to screen for climatic variables. A generalized additive model (GAM) was employed to investigate the influence of climatic factors and rodent density on the flea index. GAM analysis revealed distinct trends in flea index among different rodent hosts. ForMeriones unguiculatus, the flea index declined with increased density and with higher humidity, yet rose with greater lagged sunshine duration. ForSpermophilus dauricus, an initial increase in flea index with density was observed, followed by a decrease, and a rise in the index was noted when ground temperatures were low. This study reveals the nonlinear interactions and lag effects among climatic factors, density, and flea index. Climatic factors and density variably influence the flea index of twoYersinia pestis hosts. This research advances the prediction and early warning efforts for plague control, providing a theoretical basis for rodent and flea eradication strategies.

关键词： Climate change Plague Flea Meriones unguiculatus Spermophilus dauricus

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基于新的改进Bouc-Wen模型的预制RC桥墩滞回模型研究

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工程力学 2024年第2期41卷 180-193页

作者：徐亚洲魏克伦丁艳琼西安建筑科技大学土木工程学院陕西西安710055

Bouc-Wen-Baber-Noori(BWBN)模型是改进的Bouc-Wen模型。BWBN模型可以较好地描述钢筋混凝土结构在强震作用下的捏缩效应,但由于BWBN模型中“捏缩效应”函数复杂且参数较多,其计算效率较低。针对该问题,该文基于近似狄拉克δ函数构建更... 详细信息

Bouc-Wen-Baber-Noori(BWBN)模型是改进的Bouc-Wen模型。BWBN模型可以较好地描述钢筋混凝土结构在强震作用下的捏缩效应,但由于BWBN模型中“捏缩效应”函数复杂且参数较多,其计算效率较低。针对该问题,该文基于近似狄拉克δ函数构建更简单、高效的“捏缩效应”函数,进而提出了新的改进Bouc-Wen(MBW)模型,它可以用更少的参数来实现捏缩效应。基于预制RC桥墩的拟静力试验数据来验证MBW模型的有效性,利用MATLAB遗传算法工具箱对BWBN模型和MBW模型进行参数识别,结果表明,该文提出的MBW模型具有更高的计算精度。

关键词：预制RC桥墩滞回模型狄拉克δ函数捏缩效应参数识别

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基于字形特征的中文医学命名实体识别方法

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电子学报 2024年第6期52卷 1945-1954页

作者：孟伟伦郭景峰邢珂萱魏宁王巧梭刘滨燕山大学信息科学与工程学院河北秦皇岛066004 河北省虚拟技术与系统集成重点实验室河北秦皇岛066004 河北建材职业技术学院河北秦皇岛066000 河北科技大学大数据与社会计算研究中心河北石家庄050018

作为医学信息抽取的第一个关键环节,医学命名实体识别任务旨在从如电子医疗病例、中文医药说明书等非结构化文本中抽取出医学相关的实体.目前大多数中文医学命名实体识别工作通过在预训练模型上进行微调来获得文本表示向量,然后利用特... 详细信息

作为医学信息抽取的第一个关键环节,医学命名实体识别任务旨在从如电子医疗病例、中文医药说明书等非结构化文本中抽取出医学相关的实体.目前大多数中文医学命名实体识别工作通过在预训练模型上进行微调来获得文本表示向量,然后利用特征工程来提升模型在医疗领域上的性能.这些模型大部分源自在通用数据集上表现较好的模型,没有考虑中文医学数据集的语言特性.通过在多个医学数据集上进行统计分析,发现部分类型的医学实体在字形上具有共性,如在汉字中大部分表示疾病含义的字符都包含“疒”,大部分表示身体器官的字符都包含“月”.针对这些问题,本文提出了一种基于字形特征的中文医学命名实体识别方法,该方法通过在文本表示向量上融合字形向量以及进一步利用数据集中负样本来提升模型的准确度和泛化能力.在多个公共的中文医学数据集上的实验结果表明,该方法获得了比其他模型更好的效果,并且通过消融实验证明了融合字形特征和从负样本中学习对于该任务是有效的.

关键词：字形负样本两阶段医学信息命名实体识别深度学习

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Integrated data mining and network pharmacology to discover a novel traditional Chinese medicine prescription against diabetic retinopathy and reveal its mechanism

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TMR Modern Herbal Medicine 2024年第2期7卷 41-55页

作者： Kai-lun Zhang Xu Wang Xiang-wei Chang Jun-Fei Gu Bo-Yang Zhu Shi-Bing wei Bo Wu Can Peng Jiu-Sheng Nie De-Ling Wu College of Pharmacy Anhui University of Chinese MedicineHefei 230012China School of Traditional Chinese Medicine and School of Integrated Chinese and Western Medicine Nanjing University of Chinese MedicineNanjing 210023China MOE-Anhui Joint Collaborative Innovation Center for Quality Improvement of Anhui Genuine Chinese Medicinal Materials Anhui University of Chinese MedicineHefei 230012China Institute of Pharmaceutics Anhui Academy of Chinese MedicineHefei 230012China Anhui Province Key Laboratory of Pharmaceutical Preparation Technology and Application Anhui University of Chinese MedicineHefei 230012China Engineering Technology Research Center of Modernized Pharmaceutics Anhui Education Department(AUCM)Hefei 230012China The First Clinical Medical College Anhui University of Chinese MedicineHefei 230012China

Background:Diabetic retinopathy(DR)is currently the leading cause of blindness in elderly individuals with *** Chinese medicine(TCM)prescriptions have shown remarkable effectiveness for treating *** study aimed to screen a novel TCM prescription against DR from patents and elucidate its medication rule and molecular mechanism using data mining,network pharmacology,molecular docking and molecular dynamics(MD)***:TCM prescriptions for treating DR was collected from patents and a novel TCM prescription was identified using data ***,the mechanism of the novel TCM prescription against DR was explored by constructing a network of core TCMs-core active ingredients-core targets-core ***,molecular docking and MD simulation were employed to validate the findings from network ***:The TCMs of the collected prescriptions primarily possessed bitter and cold properties with heat-clearing and supplementing effects,attributed to the liver,lung and kidney ***,a novel TCM prescription for treating DR was identified,composed of Lycii Fructus,Chrysanthemi Flos,Astragali Radix and angelicae Sinensis *** core active ingredients and ten core targets of the novel TCM prescription for treating DR were ***,the novel TCM prescription played a crucial role for treating DR by inhibiting inflammatory response,oxidative stress,retinal pigment epithelium cell apoptosis and retinal neovascularization through various pathways,such as the AGE-RAGE signaling pathway in diabetic complications and the MAPK signaling ***,molecular docking and MD simulation demonstrated that almost all core active ingredients exhibited satisfactory binding energies to core ***:This study identified a novel TCM prescription and unveiled its multi-component,multi-target and multi-pathway characteristics for treating *** findings provide a scientific basis and novel insights into

关键词： TCM prescriptions diabetic retinopathy medication rule molecular mechanism data mining network pharmacology molecular docking

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铜催化草酸二甲酯加氢副产物1,2-丙二醇生成机理的DFT研究

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燃料化学学报（中英文） 2024年第4期52卷 553-564页

作者：伦国栋严伟琦周静红朱贻安李伟华东理工大学化学工程联合国家重点实验室上海200237 华东理工大学化工学院上海200237

利用密度泛函理论对Cu(111)及Cu_(2)O(111)表面上草酸二甲酯加氢副产物1,2-丙二醇(1,2-PDO)的生成机理进行了探究,计算了两种表面上1,2-PDO生成的不同反应路径基元步骤的热力学数据以及所涉及物种的吸附行为,进行了局域态密度以及差分... 详细信息

利用密度泛函理论对Cu(111)及Cu_(2)O(111)表面上草酸二甲酯加氢副产物1,2-丙二醇(1,2-PDO)的生成机理进行了探究,计算了两种表面上1,2-PDO生成的不同反应路径基元步骤的热力学数据以及所涉及物种的吸附行为,进行了局域态密度以及差分电荷密度分析,阐明了铜催化剂的主要活性位点及1,2-PDO生成的主要路径。结果表明,1,2-PDO主要由乙二醇和甲醇于Cu_(2)O(111)表面通过Guerbet醇缩合反应生成,具体包括醇脱氢、羟醛缩合以及不饱和醛加氢三个过程。Cu_(2)O(111)表面Cu_(us)^(+)及O_(suf)^(-)位点形成的Lewis酸碱对能够促进反应物、产物及反应中间体的吸附且对于1,2-PDO生成过程的整体催化活性更高。Cu_(2)O(111)表面的O_(suf)^(-)位点是醇类脱氢生成醛、羟醛缩合过程中生成烯醇物种以及不饱和醛类中间体加氢的主要活性中心,而C-C偶联反应则发生在Cu_(us)^(+)金属位点上。论文研究结果可为铜催化剂设计和改性以及草酸酯加氢工艺的优化提供理论指导。

关键词：草酸二甲酯加氢 Cu催化剂 1,2-丙二醇密度泛函理论反应机理

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A model of five genes of tumor microenvironment predicts prognosis in Cholangiocarcinoma

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Cancer Advances 2024年第2期7卷 1-12页

作者： Jin-Shan Yang Chuan-Xin Wu Kai Li Ling-Xiang Xu Xing-Lang Wu Qin-Bo Wang lun-wei Chen Na Wang Hang Sun Department of Hepatobiliary Surgery The Second Affiliated Hospital of Chongqing Medical UniversityChongqing 400010China Department of Hepatobiliary Surgery The Third People’s Hospital of Sichuan ProvinceChengdu 610100China Key Laboratory of Molecular Biology for Infectious Diseases(Ministry of Education) Institute for Viral HepatitisDepartment of Infectious DiseasesThe Second Affiliated HospitalChongqing Medical UniversityChongqing 400010China

Background:Cholangiocarcinoma(CCA)is highly malignant and has a poor prognosis has a high malignant degree and poor *** purpose of this study is to develop a new prognostic model based on genes related to the tumor microenvironment(TME).Methods:Derived from the discerned differentially expressed genes within The Cancer Genome Atlas(TCGA)dataset,this investigation employed the methodology of weighted gene co-expression network analysis(WGCNA)to ascertain gene co-expressed modules intricately linked to the Tumor Microenvironment(TME)among Cholangiocarcinoma(CCA)*** genes associated with prognosis,as identified through Cox regression analysis,were employed in the formulation of a predictive *** model underwent validation,leading to the development of a risk score formula and ***,we validated the model’s reliability using data from CCA patients in the Gene Expression Omnibus(GEO)database(accession:GSE107943).Results:6139 DEGs were divided into 10 co-expressed gene modules using *** these,two modules(blue module with 832 genes and brown module with 1379 genes)showed high correlation with the *** prognostic genes(BNIP3,COL4A3,SPRED3,CEBPB,PLOD2)were identified through Cox regression analysis,and a prognostic model and risk score formula were developed based on these *** score formula:Risk score=BNIP3×1.70520-COL4A3×2.39815+SPRED3×1.17936+CEBPB×0.40456+PLOD2×***-Meier survival analysis revealed that the survival probabilities of the low-risk group were significantly higher than those of the high-risk ***,the related evaluation indexes suggested that the model exhibited strong predictive ***:The prognostic model,based on five TME-related genes(BNIP3,COL4A3,SPRED3,CEBPB,PLOD2),could accurately assess the prognosis of CCA patients to aid in guiding clinical decisions.

关键词： Cholangiocarcinoma tumor microenvironment prognostic prediction model nomogram

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基于FAERS数据库的真实世界研究评估新型四环素的药物不良反应

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中国临床药理学杂志 2024年第16期40卷 2401-2404页

作者：王菲张杰庄玮梁华伦广州中医药大学第二附属医院二沙岛医院药剂科广东广州510515 广州中医药大学第二附属医院药学部临床药学科广东广州510120 厦门大学附属妇女儿童医院(厦门市妇幼保健院)药学部厦门福建361003

目的挖掘新型四环素类药物不良反应信号,为临床安全合理使用提供参考。方法提取美国食品药品监督管理局不良事件报告系统数据库中3种新型四环素所有不良事件(ADE)数据,获取奥马环素、替加环素和依拉环素列为“首要怀疑”报告,用报告比... 详细信息

目的挖掘新型四环素类药物不良反应信号,为临床安全合理使用提供参考。方法提取美国食品药品监督管理局不良事件报告系统数据库中3种新型四环素所有不良事件(ADE)数据,获取奥马环素、替加环素和依拉环素列为“首要怀疑”报告,用报告比值比法(ROR)进行数据分析。结果本研究共识别5896份与新型四环素相关的ADE报告,其中替加环素ADE阳性信号99个,奥马环素为37个,依拉环素为8个。3种新型四环素ADE信号存在较大差异。凝血酶时间延长、淀粉酶异常等与替加环素相关性最强;而未执行规定药物剂量和牙齿变色等与奥马环素相关性较强;血纤维蛋白原降低和静脉炎等与依拉环素相关性最高。替加环素主要累及肝胆系统(ROR=7.15)和血液及淋巴系统(ROR=4.95);奥马环素则涉及胃肠系统(ROR=3.32);而依拉环素与各类检查(ROR=2.79)和循环系统(ROR=2.72)相关性强。本研究还发现多个四环素新ADE,如入睡障碍、胡言乱语、高铁血红蛋白血症、血纤维蛋白原降低等。结论新型四环素ADE信号和累积器官系统特点各不相同。临床在使用新型四环素类药物时,应结合药物ADE特点进行个体化用药和ADE监测。

关键词：新型四环素不良事件美国食品药品监督管理局不良事件报告系统数据库信号挖掘药物警戒

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