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Analyze the Performance of Electroactive Anticorrosion Coating of Medical Magnesium Alloy Using Deep Learning

Computers, Materials & Continua 2024年第4期79卷 263-278页

作者： Yashan Feng yafang Tian Yongxin Yang Yufang Zhang Haiwei Guo Jing’an li Advanced Functional Materials Laboratory Zhengzhou Railway Vocational and Technical CollegeZhengzhou450000China School of Materials Science and Engineering Zhengzhou UniversityZhengzhou450000China

Electroactive anticorrosion coatings are specialized surface treatments that prevent or minimize corrosion. Thestudy employs strategic thermodynamic equilibriumcalculations to pioneer a novel factor in corrosion protection.A first-time proposal, the total acidity (TA) potential of the hydrogen (pH) concept significantly shapes medicalmagnesium alloys. These coatings are meticulously designed for robust corrosion resistance, blending theoreticalinsights and practical applications to enhance our grasp of corrosion prevention mechanisms and establisha systematic approach to coating design. The groundbreaking significance of this study lies in its innovativeintegration of the TA/pH concept,which encompasses the TA/pH ratio of the chemical environment. This approachsurpasses convention by acknowledging the intricate interplay between the acidity and pH levels within thecoating formulation, thereby optimizing metal-phosphate-based conversion coatings and transforming corrosionmitigation strategies. To authenticate the TA/pH concept, the study comprehensively compares its findings withexisting research, rigorously validating the theoretical framework and reinforcing the correlates among TA/pHvalues and observed corrosion resistance in the coatings. The influence of mutations that occur naturally inthe detergent solution on persistent phosphorus changes is shown by empirical confirmation, which improvescorrosion resistance. This realization advances the field ofmaterials and the field’s knowledge of coated generation,particularly anticorrosion converter layers.

关键词： Medical magnesium alloys hydrogen gas anticorrosion total acidity potential of the hydrogen(pH)

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Thin polymer electrolyte with MXene functional layer for uniform li^(+) deposition in all-solid-state lithium battery

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Green Energy & Environment 2024年第1期9卷 71-80页

作者： Weijie Kou yafang Zhang Wenjia Wu Zibiao Guo Quanxian Hua Jingtao Wang School of Chemical Engineering Zhengzhou UniversityZhengzhou450001China

Solid polymer electrolyte(SPE) shows great potential for all-solid-state batteries because of the inherent safety and flexibility;however, the unfavourable li+deposition and large thickness hamper its development and application. Herein, a laminar MXene functional layer-thin SPE layer-cathode integration(MXene-PEO-LFP) is designed and fabricated. The MXene functional layer formed by stacking rigid MXene nanosheets imparts higher compressive strength relative to PEO electrolyte layer. And the abundant negatively-charged groups on MXene functional layer effectively repel anions and attract cations to adjust the charge distribution behavior at electrolyte–anode interface. Furthermore,the functional layer with rich lithiophilic groups and outstanding electronic conductivity results in low li nucleation overpotential and nucleation energy barrier. In consequence, the cell assembled with MXene-PEO-LFP, where the PEO electrolyte layer is only 12 μm, much thinner than most solid electrolytes, exhibits uniform, dendrite-free li+deposition and excellent cycling stability. High capacity(142.8 mAh g-1), stable operation of 140 cycles(capacity decay per cycle, 0.065%), and low polarization potential(0.5 C) are obtained in this li|MXene-PEO-LFP cell,which is superior to most PEO-based electrolytes under identical condition. This integrated design may provide a strategy for the large-scale application of thin polymer electrolytes in all-solid-state battery.

关键词： MXene nanosheet Laminar functional layer Thin polymer electrolyte Dendrite-free liþdeposition All-solid-state lithium battery

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Formatted PVDF in lamellar composite solid electrolyte for solidstate lithium metal battery

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Nano Research 2024年第6期17卷 5159-5167页

作者： Xinji Zhang yafang Zhang Shiyue Zhou Jingchuan Dang Chenye Wang Wenjia Wu Jingtao Wang School of Chemical Engineering Zhengzhou UniversityZhengzhou 450001China

Solid polymer electrolytes(SPEs)hold great application potential for solid-state lithium metal battery because of the excellent interfacial contact and processibility,but being hampered by the poor room-temperature conductivity(~10^(−7)S·cm^(−1))and low lithium-ion transference number(tli+).Here,a lamellar composite solid electrolyte(Vr-NH_(2)@polyvinylidene fluoride(PVDF)LCSE)withβ-conformation PVDF is fabricated by confining PVDF in the interlayer channel of-NH_(2)modified vermiculite lamellar framework.We demonstrate that the conformation of PVDF can be manipulated by the nanoconfinement effect and the interaction from channel wall.The presence of-NH_(2)groups could induce the formation ofβ-conformation PVDF through electrostatic interaction,which serves as continuous and rapid lithium-ion transfer pathway.As a result,a high room-temperature ionic conductivity of 1.77×10^(−4)S·cm^(−1)is achieved,1-2 orders of magnitude higher than most SPEs.Furthermore,Vr-NH_(2)@PVDF LCSE shows a high tli+of 0.68 because of the high dielectric constant,~3 times of that of PVDF SPE,and surpassing most of reported SPEs.The liNi_(0.8)Co_(0.1)Mn_(0.1)O_(2)||li cell assembled by Vr-NH_(2)@PVDF LCSE obtains a discharge specific capacity of 137.1 mAh·g^(−1)after 150 cycles with a capacity retention rate of 93%at 1 C and 25℃.This study may pave a new avenue for high-performance SPEs.

关键词： solid-state lithium metal battery lamellar composite solid electrolyte β-conformation polyvinylidene fluoride(PVDF) room-temperature ionic conductivity lithium-ion transference number

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Natural products for infectious microbes and diseases:an overview of sources,compounds,and chemical diversities

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Science China(life Sciences) 2022年第6期65卷 1123-1145页

作者： Lu Luo Jun Yang Cheng Wang Jie Wu yafang li Xu Zhang Hui li Hui Zhang Yumei Zhou Aiping Lu Shilin Chen Institute of Chinese Materia Medica China Academy of Chinese Medical SciencesBeijing 100700China Institute of Basic Medical Sciences Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100006China Institute of Hematology&Blood Diseases Hospital Chinese Academy of Medical Sciences&Peking Union Medical CollegeTianjin 300020China weMED Health Houston 77054USA Institute of Botany Chinese Academy of SciencesBeijing 100093China Akupunktur Akademiet Aabyhoej 8230Denmark The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine Guangzhou 518033China School of Chinese Medicine Hong Kong Baptist UniversityHong Kong 999077China

As coronavirus disease 2019(COVID-19) threatens human health globally,infectious disorders have become one of the most challenging problem for the medical community.Natural products(NP) have been a prolific source of antimicrobial agents with widely divergent structures and a range of vast biological activities.A dataset comprising 618 articles,including 646 NP-based compounds from 672 species of natural sources with biological activities against 21 infectious pathogens from five categories,was assembled through manual selection of published articles.These data were used to identify 268 NP-based compounds classified into ten groups,which were used for network pharmacology analysis to capture the most promising lead-compounds such as agelasine D,dicumarol,dihydroartemisinin and pyridomycin.The distribution of maximum Tanimoto scores indicated that compounds which inhibited parasites exhibited low diversity,whereas the chemistries inhibiting bacteria,fungi,and viruses showed more structural diversity.A total of 331 species of medicinal plants with compounds exhibiting antimicrobial activities were selected to classify the family sources.The family Asteraceae possesses various compounds against C.neoformans,the family Anacardiaceae has compounds against Salmonella typhi,the family Cucurbitacea against the human immunodeficiency virus(HIV),and the family Ancistrocladaceae against Plasmodium.This review summarizes currently available data on NPbased antimicrobials against refractory infections to provide information for further discovery of drugs and synthetic strategies for anti-infectious agents.

关键词： natural product infectious pathogen drug discovery drug development in silico analysis

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Natural product chlorogenic acid achieves pharmacological activity and health protection via regulating gut microbiota

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Food Science and Human Wellness 2024年

作者： Ke Fu Shu Dai yafang Zhang Jia Gong Cheng Wang Chenhao Yao Shenglin Zhang Cheng Peng Yunxia li State Key Laboratory of Southwestern Chinese Medicine Resources Key Laboratory of Standardization for Chinese Herbal Medicine Ministry of Education School of Pharmacy Chengdu University of Traditional Chinese Medicine College of Enology Northwest A&F University

Chlorogenic acid (CA) is a natural plant-derived polyphenol compound that is widely present in beverages (coffee and tea)， fruits (blueberry， apple， and mulberry)， and medicinal plants (Lonicera japonica， Eucommia ulmoides， and Cichorium intybus). In recent years， CA has attracted extensive attention due to its various health benefits， such as anti-inflammatory， immunomodulatory， anti-obesity， anti-diabetes mellitus， and neuroprotection activities. Interestingly， the low bioavailability of CA corresponds to high bioactivity， which raises a key scientific question of how low bioavailability CA can achieve high biological activity. In this review， we highlight the gut microbiota as a key target for connecting the two by summarizing a large amount of evidence. Specifically， the composition and abundance of gut microbiota， its metabolites， intestinal immunity， barrier function and so on were all changed under different pathological conditions such as inflammatory bowel disease， liver disease， kidney disease， cardiovascular disease， diabetes mellitus， obesity， etc. Conversely， these changes could be reversed by CA. In a word， CA could achieve pharmacological activity as well as health-protective effects by modulating intestinal immune and barrier function， gut microbiota composition， gut microbiota metabolites， and signaling pathways. This review provides new targets for the prevention and treatment of diseases by CA. Meanwhile， regulating the composition of the gut microbiota through natural products may be a potential strategy to achieve health protection.

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激光功率对SLM增材制造316不锈钢组织与性能的影响

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金属热处理 2024年第1期49卷 154-159页

作者：宋涛李子瑶彭雅芳王志武湖北大学知行学院机械与自动化学院湖北武汉430011 武汉大学机械与自动化学院湖北武汉430072

利用不同激光功率的选择性激光熔化(SLM)增材制造技术制备了316不锈钢试样,利用光学显微镜、电子背散射衍射(EBSD)、维氏硬度计等分析了试样的晶体学特征和硬度。结果表明,随着激光功率的降低,试样析出相数量呈下降趋势,但输入能量低,... 详细信息

利用不同激光功率的选择性激光熔化(SLM)增材制造技术制备了316不锈钢试样,利用光学显微镜、电子背散射衍射(EBSD)、维氏硬度计等分析了试样的晶体学特征和硬度。结果表明,随着激光功率的降低,试样析出相数量呈下降趋势,但输入能量低,熔池冷却速率高,枝晶的临界形核半径小,凝固时的形核率及形核数量高,有利于晶粒细化和等轴晶的生成,表现出高硬度。高激光功率下试样表现出高取向度的纤维织构,而低功率下表现出低取向度的立方织构。激光功率为320 W时,试样的主要织构为{110}和{112};激光功率为290 W时,试样的主要织构为{112}和{112};激光功率为260 W时,试样的主要织构为{001}。

关键词：增材制造 316不锈钢激光功率 EBSD

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高频GPS监测的阿拉斯加地震同震形变与震级预估

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导航定位学报 2024年第1期12卷 143-150页

作者：李波高志钰曾致李亚芳李金香新疆维吾尔自治区地震局乌鲁木齐830011 中国地震局地质研究所地震动力学国家重点实验室北京100029 兰州交通大学测绘与地理信息学院兰州730070 西安市勘察测绘院西安710054

为了进一步研究2020年阿拉斯加矩震级(MW)7.8地震同震形变获取及震级预估,提出一种高频全球定位系统(GPS)监测的阿拉斯加地震同震形变与震级预估方法:利用双差动态定位方法处理震中周边9个高频GPS测站数据,并解算得到这些测站的三维位... 详细信息

为了进一步研究2020年阿拉斯加矩震级(MW)7.8地震同震形变获取及震级预估,提出一种高频全球定位系统(GPS)监测的阿拉斯加地震同震形变与震级预估方法:利用双差动态定位方法处理震中周边9个高频GPS测站数据,并解算得到这些测站的三维位移波形;最后获取此次地震引起的同震形变并对震级结果进行预估分析。结果表明,近场GPS测站位移波形变化幅度显著,波动幅度变化不仅受震中距的影响,也可能受破裂断层、地震波传播路径及场地效应等的影响;距震中最近的AC12测站水平地面峰值位移约为40 cm,永久水平位移约为24 cm,垂向抬升约30.6 cm,震中140 km范围内的GPS测站均能够监测到量值大于1 cm的永久水平形变,330 km范围内的GPS测站能够监测到毫米级以上的永久水平形变,除AC12测站与AC45测站外,此次地震造成其余测站明显的永久沉降。这些结果反映出此次地震的震源特征表现为逆冲性质,也可为后续的研究工作提供参考;利用这些高频GPS地面峰值位移(PGD)预估此次地震的震级为7.78,与实际震级基本一致,表明利用高频GPS数据进行强震震级快速预估的可靠性。

关键词：高频全球定位系统(GPS) 位移波形同震形变震级估计矩震级(Mw) 阿拉斯加Mw7.8地震

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初级保健领域基于机器学习预测模型研究的设计特征与方法学质量:范围综述

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中国全科医学 2024年第10期27卷 1271-1276页

作者：钟锦佳李文涛黄亚芳吴浩首都医科大学全科医学与继续教育学院北京市100069

背景近年来初级保健领域基于机器学习预测模型研究发展迅速,但关于其设计特征与方法学质量的研究报道较少。目的系统总结、分析初级保健领域基于机器学习预测模型研究的设计特征与方法学质量。方法采用计算机检索PubMed、Embase、中国... 详细信息

背景近年来初级保健领域基于机器学习预测模型研究发展迅速,但关于其设计特征与方法学质量的研究报道较少。目的系统总结、分析初级保健领域基于机器学习预测模型研究的设计特征与方法学质量。方法采用计算机检索PubMed、Embase、中国知网、万方数据知识服务平台建库至2023-02-21发布的初级保健领域基于机器学习预测模型研究,采用叙述性总结和描述方法分析纳入文献的基本特征、预测模型类型、样本量、缺失值处理方法、机器学习算法类型、模型性能评价指标及预测效能、模型验证方法等。结果最终纳入30篇文献,涉及106个预测模型,其中发表时间为2021~2023年17篇;研究主题涉及呼吸系统疾病6篇,肿瘤4篇,门诊预约3篇;26篇文献样本量>1000(占86.67%,95%CI=68.36%~95.64%);使用机器学习方法处理缺失值者7篇;65个预测模型使用基于树的机器学习算法,其中随机森林使用频率最高(占32.08%,95%CI=23.53%~41.95%);61个预测模型使用受试者工作特征(ROC)曲线下面积(AUC)或一致性(C统计量)作为区分度评价指标(占57.55%,95%CI=47.57%~66.97%),但仅14个预测模型报告了校准度指标(占13.21%,95%CI=7.67%~21.50%);106个预测模型多数区分度良好,但92个预测模型偏倚风险评估结果为高风险(占86.79%,95%CI=78.50%~92.33%);仅7篇文献所涉预测模型进行了外部验证。结论近3年来初级保健领域基于机器学习预测模型研究逐渐增多,研究主题主要涉及呼吸系统疾病、肿瘤、门诊预约等;预测模型在样本量、缺失值处理方法等方面存在较大差异,多数预测模型区分度良好,但大部分预测模型未进行外部验证,总体偏倚风险较高。

关键词：初级保健机器学习研究设计预测模型方法学评价范围综述

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Immune‑Ageing Evaluation of Peripheral T and NK Lymphocyte Subsets in Chinese Healthy Adults

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Phenomics 2023年第4期3卷 360-374页

作者： Zhenghu Jia Zhiyao Ren Dongmei Ye Jiawei li Yan Xu Hui liu Ziyu Meng Chengmao Yang Xiaqi Chen Xinru Mao Xueli Luo Zhe Yang lina Ma Anyi Deng yafang li Bingyu Han Junping Wei Chongcheng Huang Zheng Xiang Guobing Chen Peiling li Juan Ouyang Peisong Chen Oscar Junhong Luo Yifang Gao Zhinan Yin Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan UniversityJinan UniversityZhuhai 519000GuangdongChina The Biomedical Translational Research Institute Health Science Center(School of Medicine)Jinan UniversityGuangzhou 510632GuangdongChina Guangzhou Purui Biotechnology Co. Ltd.Guangzhou 510660GuangdongChina Department of Systems Biomedical Sciences School of MedicineJinan UniversityGuangzhou 510632GuangdongChina Guangzhou Geriatric Hospital Guangzhou 510550GuangdongChina Organ Transplantation Center The First Affiliated HospitalSun Yat-sen UniversityGuangzhou 510080GuangdongChina Emergency Department The First Affiliated Hospital of Jinan UniversityJinan UniversityGuangzhou 510632GuangdongChina NHC Key Laboratory of Hormones and Development Tianjin Key Laboratory of Metabolic DiseasesChu Hsien-I Memorial HospitalTianjin Medical UniversityTianjin 300134China Tianjin Institute of Endocrinology Tianjin Medical UniversityTianjin 300134China Zhongke Regenerative Medicine Technology Co. LtdDongguan 523808GuangdongChina Wuhan Purui Medical Laboratory Co. LtdWuhan 430223HubeiChina Department of Clinical Laboratory Department of Laboratory MedicineThe First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510080GuangdongChina

Ageing is often accompanied with a decline in immune system function,resulting in immune ageing.Numerous studies have focussed on the changes in different lymphocyte subsets in diseases and immunosenescence.The change in immune phenotype is a key indication of the diseased or healthy status.However,the changes in lymphocyte number and phenotype brought about by ageing have not been comprehensively analysed.Here,we analysed T and natural killer(NK)cell subsets,the phenotype and cell differentiation states in 43,096 healthy individuals,aged 20–88 years,without known diseases.Thirty-six immune parameters were analysed and the reference ranges of these subsets were established in different age groups divided into 5-year intervals.The data were subjected to random forest machine learning for immune-ageing modelling and confirmed using the neural network analysis.Our initial analysis and machine modelling prediction showed that na.ve T cells decreased with ageing,whereas central memory T cells(Tcm)and effector memory T cells(Tem)increased cluster of differentiation(CD)28-associated T cells.This is the largest study to investigate the correlation between age and immune cell function in a Chinese population,and provides insightful differences,suggesting that healthy adults might be considerably influenced by age and sex.The age of a person's immune system might be different from their chronological age.Our immune-ageing modelling study is one of the largest studies to provide insights into‘immune-age’rather than‘biological-age’.Through machine learning,we identified immune factors influencing the most through ageing and built a model for immune-ageing prediction.Our research not only reveals the impact of age on immune parameter differences within the Chinese population,but also provides new insights for monitoring and preventing some diseases in clinical practice.

关键词： Immunosenescence Phenotype T cell subset Natural killer cell subsets Immune-ageing modelling

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完全隐含能源与碳强度研究进展综述

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北京理工大学学报（社会科学版） 2024年第1期26卷 47-57页

作者：孙亚方 SU Bin 李莹珠於世为中国地质大学(武汉)能源环境管理与决策研究中心湖北武汉430074 新加坡国立大学能源研究所新加坡119620 浙江大学公共管理学院浙江杭州310058

节能减排是应对全球气候变暖的重要举措。由于不同国家和地区的经济发展水平存在明显差异,近年来能源与碳强度成为度量节能减排绩效的重要指标,受到了社会各界的广泛关注。在生产端强度控制的基础上,如何从根源上在消费端降低完全隐含... 详细信息

节能减排是应对全球气候变暖的重要举措。由于不同国家和地区的经济发展水平存在明显差异,近年来能源与碳强度成为度量节能减排绩效的重要指标,受到了社会各界的广泛关注。在生产端强度控制的基础上,如何从根源上在消费端降低完全隐含能源与碳强度的研究越来越受到重视。针对消费端完全隐含能源与碳强度的研究特征与发展趋势展开综述,结果发现:(1)主要呈现出国家层面研究为主、全球层面研究显著增加、省市层面研究开始出现的特征,且国家或省市层面主要聚焦于中国;(2)相比完全隐含能源强度,现有文献更为关注完全隐含碳强度;(3)研究由不区分终端消费向细分各终端消费发展,隐含在出口中的完全隐含碳强度受到了重点讨论;(4)部分研究侧重于局部,比如深度参与到全球生产网络的部分经济部门或能源消费与碳排放在生产网络中传输的关键层级;(5)进行完全隐含碳强度变动的驱动因素的研究主要基于乘性结构分解分析模型,从时间轴和空间轴展开剖析。现有研究框架未来可以扩展到能源环境相关领域的其他指标。

关键词：完全隐含能源强度完全隐含碳强度投入产出分析结构分解分析

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