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Reductive lipid nanoparticles loaded with vinorelbine inhibit chemotherapy-induced invasion of cancer cells by modulating ENPP2

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Nano Research 2024年第4期17卷 2886-2898页

作者： Xiaoqi Zhao Xuemeng Guo Mei Pang Weigen Qiu Zhenyu luo Qing Lin Yichao Lu Hang Yin Sijie Wang Huihui Liu Junlei Zhang lihua luo Jian You College of Pharmaceutical Sciences Zhejiang University866 Yuhangtang RoadHangzhou 310058China Hangzhou Institute of Innovative Medicine Zhejiang UniversityHangzhou 310058China

Cancer is a predominant culprit behind worldwide death and accounts for up to 10 million deaths every year.Chemotherapy is the primary therapeutic method employed for cancer in clinical settings and is essential in controlling tumor progression.Despite the advances in this field,tumor invasion and metastasis during treatment remain a significant cause of treatment failure.Nevertheless,the underlying mechanisms involving such a disappointing phenomenon are still not fully elucidated.Vinorelbine(VNB)extends the lifespan of many cancer patients in the clinic as an emerging chemotherapy drug approved by Food and Drug Administration(FDA).However,VNB-induced tumor metastasis is still an intractable problem,which may be closely related to the abnormal oxidative stress generated during VNB-mediated treatment.Hence,the study aims to construct a reductive nanosystem loaded with VNB,called VNB-VNP,to improve cancer cure rates and reduce tumor metastasis.With the reductive component vitamin E,VNB-VNP can effectively reduce oxidative stress and significantly outperform free VNB in preventing tumor progression.The transcriptome analysis shows that VNB-VNP can alleviate the over-expression of ectonucleotide pyrophosphatase/phosphodiesterase 2(ENPP2),which may be the main reason why VNB-VNP can inhibit tumor invasion and metastasis.Overall,the research designs a new platform for VNB treatment,which demonstrates promising efficacy in inhibiting neoplastic progression and identifies a new mechanism associated with VNB-induced tumor metastasis,which may offer several valuable references for enhancing chemotherapy efficacy in clinical anti-tumor therapy.

关键词： chemotherapy vinorelbine tumor Invasion lysophosphatidic acid ectonucleotide pyrophosphatase/phosphodiesterase 2(ENPP2)

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Predicting microbial extracellular electron transfer activity in paddy soils with soil physicochemical properties using machine learning

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Science China(Technological Sciences) 2024年第1期67卷 259-270页

作者： OU JiaJun luo XiaoShan LIU JunYang HUANG LinYan ZHOU lihua YUAN Yong School of Automation Guangdong University of TechnologyGuangzhou 510006China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Guangzhou Key Laboratory Environmental Catalysis and Pollution ControlSchool of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China School of Biomedical and Pharmaceutical Sciences Guangdong University of TechnologyGuangzhou 510006China

Soil extracellular electron transfer(EET)is a pivotal biological process within the realm of soil.Unfortunately,EET suffers from a lack of predictive models.Herein,an intricately crafted machine learning model has been developed for the purpose of predicting soil EET by using the physicochemical properties of soil as independent input variables and the EET capabilities in terms of current density(j_(max))and Coulombic charge(C_(out))as dependent output variables.An autoencoder ensemble stacking(AES)model was developed to address the aforementioned issue by integrating support vector machine,multilayer perceptron,extreme gradient boosting,and light gradient boosting machine algorithms as the stacking algorithms.With 10-fold crossvalidation,the AES model exhibited notable improvements in predicting j_(max)and C_(out),with average test R^(2)values of 0.83 and 0.84,respectively,surpassing those of single machine learning(ML)models and the basic ensemble model.By utilizing partial correlation plots(PDPs),Shapley Additive explanations(SHAP)values,and SHAP decision plots,we quantitatively explained the impact and contribution of the input molecules on the AES model’s predictions of j_(max)and C_(out).In the context of the SHAP method for the AES model,total carbon(TC)was identified as the most correlated descriptor for j_(max),while total organic carbon(TOC)stood out as the most relevant descriptor for C_(out).In the prediction tasks of j_(max)and C_(out)within the AES model,employing a multitask ML approach allowed the model to benefit from the shared information of input variables,thereby enhancing its overall generalizability.This study provides a feasible tool for the prediction of soil EET from soil physiochemical properties and an advanced understanding of the relationship between soil physiochemical properties and EET capability.

关键词： extracellular electron transfer paddy soil machine learning prediction autoencoder ensemble stacking model

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The interventional effect of Polygonatum cyrtonema Hua polysaccharide on atherosclerosis in mice of different sexes

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Food Science and Human Wellness 2024年第1期13卷 370-380页

作者： Anjun Guo Xueying Li lihua Pan Qiangming Li Jianping luo Xueqiang Zha Engineering Research Centre of Bioprocess of Ministry of Education Hefei University of TechnologyHefei 230009China School of Food and Biological Engineering Hefei University of TechnologyHefei 230009China Key Laboratory of Metabolism and Regulation for Major Disease of Anhui Higher Education Institutes Hefei University of TechnologyHefei 230009China

In the present study,we investigated the intervention effects of a purified Polygonatum cyrtonema polysaccharide(PCP)on high-fat diet(HFD)-induced atherosclerosis in male and female LDLr-/-mice.Results showed that HFD caused severe dyslipidemia,atherosclerotic lesions,oxidative damages and inflammation in male and female mice,and these effects seemed to be more pronounced in males than in females.However,the above variations could be dose-dependently reversed by PCP treatment,and the intervention effects on males were greater than those on females.Nuclear factor kappa-B(NF-κB),mitogen-activated protein kinase(MAPKs)and protein kinase B(Akt)are 3 pivotal signaling pathways mediating the development of atherosclerosis.Consistently,PCP was also found to significantly decrease the phosphorylation of p65,p38,extracellular-regulated kinase 1/2(ERK1/2)and Akt,and increase the protein expression of inhibitor of NF-κB(IκB)in the aortas of male and female mice induced by HFD.Taken together,these findings indicated that PCP could be effective for the prevention of atherosclerosis,and the intervention effect of PCP on male mice was more obvious than that of female mice.

关键词： Polygonatum cyrtonema polysaccharide Anti-atherosclerosis Sex

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Vinyltrimethylsilane as a novel electrolyte additive for improving interfacial stability of Li-rich cathode working in high voltage

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Chinese Chemical Letters 2024年第2期35卷 534-538页

作者： Bing Jiang Hao Li Bi luo Lehao Liu lihua Chu Qiaobao Zhang Meicheng Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of New EnergyNorth China Electric Power UniversityBeijing 102206China State Key Laboratory of Physical Chemistry of Solid Surfaces College of MaterialsXiamen UniversityXiamen 361005China

Boosting the interfacial stability between electrolyte and Li-rich cathode material at high operating voltage is vital important to enhance the cycling stability of Li-rich cathode materials for high-performance Li-ion batteries.In this work,vinyltrimethylsilane as a new type of organic silicon electrolyte additive is studied to address the interfacial instability of Li-rich cathode material at high operating voltage.The cells using vinyltrimethylsilane additive shows the high capacity retention of 73.9%after 300 cycles at 1 C,whereas the cells without this kind of additive only have the capacity retention of 58.9%.The improvement of stability is mainly attributed to the additive helping to form a more stable surface film for Li-rich cathode material,thus avoiding direct contact between the electrolyte and the cathode material,slowing down the dissolution of metal ions and the decomposition of the electrolyte under high operating voltage.Our findings in this work shed some light on the design of stable cycling performance of Li-rich cathode toward advanced Li-ion batteries.

关键词： Vinyltrimethylsilane Electrolyte additive Li-rich cathode Interfacial stability Capacity retention

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Exploring device physics of perovskite solar cell via machine learning with limited samples

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Journal of Energy Chemistry 2024年第7期94卷 441-448页

作者： Shanshan Zhao Jie Wang Zhongli Guo Hongqiang luo lihua Lu Yuanyuan Tian Zhuoying Jiang Jing Zhang Mengyu Chen Lin Li Cheng Li School of Electronic Science and Engineering Xiamen UniversityXiamen 361005FujianChina Future Display Institute of Xiamen Xiamen 361005FujianChina

Perovskite solar cells(PsCs)have developed tremendously over the past decade.However,the key factors influencing the power conversion efficiency(PCE)of PSCs remain incompletely understood,due to the complexity and coupling of these structural and compositional parameters.In this research,we demon-strate an effective approach to optimize PSCs performance via machine learning(ML).To address chal-lenges posed by limited samples,we propose a feature mask(FM)method,which augments training samples through feature transformation rather than synthetic data.Using this approach,squeeze-and-excitation residual network(SEResNet)model achieves an accuracy with a root-mean-square-error(RMSE)of 0.833%and a Pearson's correlation coefficient(r)of 0.980.Furthermore,we employ the permu-tation importance(PI)algorithm to investigate key features for PCE.Subsequently,we predict PCE through high-throughput screenings,in which we study the relationship between PCE and chemical com-positions.After that,we conduct experiments to validate the consistency between predicted results by ML and experimental results.In this work,ML demonstrates the capability to predict device performance,extract key parameters from complex systems,and accelerate the transition from laboratory findings to commercialapplications.

关键词： Perovskite solar cell Machine learning Device physics Performance prediction Limited samples

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Vehicle adaptive cruise control design with optimal switching between throttle and brake

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控制理论与应用（英文版） 2012年第4期10卷 426-434页

作者： lihua luo Ping LI Hui WANG College of Transport and Communication Shanghai Maritime University State Key Laboratory of Industrial Control Technology Zhejiang University

For vehicle adaptive cruise control （ACC） systems, the switching performance between throttle and brake determines the driving comfort, fuel consumption and service lives of vehicle mechanical components. In this paper, an ACC algorithm with the optimal switching control between throttle and brake is designed in model predictive control （MPC） framework. By introducing the binary integer variables, the dynamics of throttle and brake are integrated in one model expression for the controller design. Then the ACC algorithm is designed to satisfy not only safe car following, but also the optimal switching between throttle and brake, which leads to an online mixed integer quadratic programming solved by the nested two-loop method. The simulation results show that the proposed ACC algorithm meets the requirements of safe car following, outperforms the traditional algorithms by performing smoother responses, reducing the switching times between throttle and brake, and therefore improves driving comfort and fuel efficiency significantly.

关键词： Adaptive cruise control Model predictive control Optimal switching Throttle Brake

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微纳尺度气液传质强化油品催化加氢反应

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化工进展 2024年第1期43卷 19-33页

作者：王立华蔡苏杭江文涛罗倩罗勇陈建峰北京化工大学教育部超重力工程研究中心北京100029

相比于经典的滴流床加氢技术,液相加氢技术由于其一次性投资成本和运行能耗低,受到了企业界和学术界的广泛关注。但如何进一步强化氢油相界面的传质速率来提高液相加氢效率,仍是一个重要的难题。近年来快速发展的微纳尺度气泡或液滴的... 详细信息

相比于经典的滴流床加氢技术,液相加氢技术由于其一次性投资成本和运行能耗低,受到了企业界和学术界的广泛关注。但如何进一步强化氢油相界面的传质速率来提高液相加氢效率,仍是一个重要的难题。近年来快速发展的微纳尺度气泡或液滴的气液传质强化技术有助于油品催化加氢反应。本文以微纳气泡为例,首先总结了微纳气泡特点及产生方式,简述了微纳尺度气液传质强化液相加氢过程可行性判别,回顾了微纳尺度气液传质强化在油品液相加氢工艺中的相关研究及工业应用。最后分析了微纳尺度气液传质强化在油品液相加氢中面临的挑战以及发展方向,即微纳尺度传质与本征反应的匹配、工况条件微纳气泡在反应器中的流动以及含微纳气泡混合物的气液分离等。

关键词：微纳尺度气泡加氢传递过程过程强化

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红外预处理对低温压榨碧根果油品质及贮藏稳定性的影响

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食品科学 2024年第4期45卷 257-263页

作者：吉钦潘利华李贺兴罗水忠郑志合肥工业大学食品与生物工程学院农产品精深加工安徽省重点实验室安徽合肥230009

以碧根果仁为材料,利用红外(infrared,IR)预处理22、41、68、104、148 s使其中心温度分别达到70、90、110、130、150℃,通过出油率、脂肪酸组成、脂质伴随物含量和理化指标测定、微观结构观察以及抗氧化能力和贮藏稳定性分析,研究IR预... 详细信息

以碧根果仁为材料,利用红外(infrared,IR)预处理22、41、68、104、148 s使其中心温度分别达到70、90、110、130、150℃,通过出油率、脂肪酸组成、脂质伴随物含量和理化指标测定、微观结构观察以及抗氧化能力和贮藏稳定性分析,研究IR预处理对低温压榨碧根果油品质以及贮藏稳定性的影响。结果表明:IR预处理能显著提高碧根果仁的出油率,与对照组相比提高了11.10%~58.42%;但对低温压榨碧根果油的脂肪酸组成无明显影响;经IR预处理后碧根果油脂肪酶和多酚氧化酶活力显著降低(P<0.05);非酶促褐变指数、类胡萝卜素的释放以及总酚含量与IR预处理时间呈正相关,低温压榨碧根果油的颜色随着果仁预处理时间的延长而加深;IR预处理148 s低温压榨碧根果油的γ-生育酚含量略有降低但并不显著,1,1-二苯基-2-三硝基苯肼自由基清除能力和铁离子还原能力较对照组分别提高了23.52%和13.16%,贮藏稳定性显著增强。综上,IR预处理148 s是获得低温压榨碧根果油的最优预处理方式。该研究结果可为IR在低温压榨碧根果油制备中应用提供一定的理论依据。

关键词：低温压榨碧根果油红外预处理出油率品质贮藏稳定性

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有限元方法在脑震荡领域的热点:脑损伤模型、测试方法与防护装备的改进

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中国组织工程研究 2024年第34期28卷 5487-5493页

作者：罗卫东邹丽华黄达江西科技学院体育学院江西省南昌市330098

背景:由身体接触性运动或交通事故造成的脑震荡远比人们想象的更为严重与常见,近年来引起了媒体、医学界及体育界的广泛关注与高度重视。目的:采用文献计量学方法对有限元方法在脑震荡领域的研究热点与趋势进行可视化分析,从而为中国在... 详细信息

背景:由身体接触性运动或交通事故造成的脑震荡远比人们想象的更为严重与常见,近年来引起了媒体、医学界及体育界的广泛关注与高度重视。目的:采用文献计量学方法对有限元方法在脑震荡领域的研究热点与趋势进行可视化分析,从而为中国在该领域的研究提供一定的参考。方法:基于Web of Science核心集数据库进行文献检索,检索主题词策略为(TS=(Concussion)) AND TS=(Finite element),利用CiteSpace 6.2.R4可视化工具对纳入文献的作者、国家、机构、关键词及被引文献等进行可视化分析。结果与结论:(1)共计纳入215篇文献,发文量与被引量总体上呈上升趋势;学科分布涉及生物医学工程、生物物理学、运动科学、临床神经学及神经科学等学科,呈现多学科交叉融合的趋势;发文量最多的作者是来自爱尔兰都柏林大学的Gilchrist M,发文量最多的机构是渥太华大学,发文量最多的国家是美国。(2)通过关键词分析发现研究的热点聚焦于脑损伤模型的建立用来模拟和预测脑震荡的损伤;脑震荡损伤机制的解析;防护设备和装置的优化设计。(3)通过文献共被引分析发现脑损伤的预测与评估是该领域的知识基础亦是研究热点。(4)有限元方法运用在脑震荡领域的研究热点主要围绕头部损伤预测为主题展开,结合探索大脑损伤机制以及防护装备的设计与改进。(5)随着人工智能与材料学的进步,未来有限元方法在脑震荡损伤领域的研究热点将集中于脑损伤模型、测试方法与防护装备的改进。

关键词：有限元模型头部撞击运动员橄榄球文献计量学脑震荡创伤性脑损伤有限元分析可视化分析有限元建模

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市政工程设计阶段中的工程造价编制问题及解决措施研究

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工程技术研究 2024年第8期9卷 158-160页

作者：罗莉华中国市政工程西南设计研究总院有限公司四川成都610299

为研究市政工程设计阶段工程造价编制的影响因素及改善策略,文章通过分析和总结市政工程设计阶段造价编制存在的问题,针对准备工作不充分、资源短缺、费用和岗位分配不合理及缺乏管理法规的问题提出了针对性的解决措施,为市政工程造价... 详细信息

为研究市政工程设计阶段工程造价编制的影响因素及改善策略,文章通过分析和总结市政工程设计阶段造价编制存在的问题,针对准备工作不充分、资源短缺、费用和岗位分配不合理及缺乏管理法规的问题提出了针对性的解决措施,为市政工程造价编制提供了参考。

关键词：市政工程设计阶段工程造价编制

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