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Food Science and Human Wellness 2024年第3期13卷 1311-1321页

作者： hui nie Zhongyang Gao Yanghe Luo Yajuan Wang Feiyang Wu Guangqing Mu Xiaomeng Wu School of Food Science and Technology Dalian Polytechnic UniversityDalian 116034China Dalian Probiotic Function Research Key Laboratory Dalian Polytechnic UniversityDalian 116034China Guangxi Key Laboratory of Health Care Food Science and Technology Hezhou UniversityHezhou 542899China

To investigate the effects of drinking the soaking of Malus domeri(Bois)Chev.leaves on gut microbiota and metabolites of long-living elderly individuals in Hezhou city,Guangxi,China.It has been reported that longevity is closely related to metabolism and the gut microbiota.The 16S rRNA sequencing and liquid chromatography-mass spectrometry(LC-MS)were used to analysis fecal samples and explore the factors affecting longevity in the region.Interestingly,we discovered,that elderly individuals who had been drinking the soaking of M.domeri(Bois)Chev.leaves for a long time exhibited higher diversity of the gut microbiota than without drinking the soaking,notably.The proportions of Ruminococcaceae and Prevotella were decreased in those who did not drink this soaking.In addition,a total of 106 metabolites were characterized,and the people of long-lived people(>90 years old)and elderly people(<90 years old)who drinking soaking of M.domeri(Bois)Chev.leaves significantly altered the gut microbiota and upregulated levels of haplopine,farnesol,genipic acid,momordicinin,2-hydroxyestrone,hydroxyphenyllactic acid,caffeic acid,sophoraflavanone B,and soyasaponin I.We preliminarily determined that M.domeri(Bois)Chev.leaves consumption may be an important factor affecting longevity in this area.

关键词： Longevity Malus domeri(Bois)Chev.leaves Gut microbiota Metabolomics

Improvement of Lactiplantibacillus plantarum MWFLp-182 on oxidative deficits induced by in 2，2'-azobis(2-methylpropionamidine) dihydrochloride and the relating key gene analysis

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Food Science and Human Wellness 2024年

作者： hui nie Xutong Ma Fanyu Kong Yanghe Luo Guangqing Mu Xiaomeng Wu Dalian Probiotic Function Research Key Laboratory Dalian Polytechnic University Guangxi Key Laboratory of Health Care Food Science and Technology Hezhou University School of Food Science and Technology Dalian Polytechnic University

Lactiplantibacillus plantarum MWFLp-182 was originally isolated from the feces of long-living elderly individuals in Hezhou city， Guangxi， China. L. plantarum MWFLp-182 showed favorable gastric and intestinal tolerance compared with Lactiplantibacillus rhamnosus GG (LGG). L. plantarum MWFLp-182 was further examined for its antioxidant and anti-inflammatory activity in ABAP-treated HT-29 cells. Importantly， it enhanced the expression of anti-inflammatory factor (interleukin-10 (IL-10))， antioxidant cytokines (superoxide dismutase (SOD)， glutathione peroxidase (GPx)， nuclear factor erythroid 2-related factor (Nrf2)， and hemeoxygenase 1(HO-1))， B-cell lymphoma-2 (Bcl-2)， and tight junction (Zonula occludens protein 1(ZO-1)， Claudin-1， and Occludin) proteins and genes， and reduced reactive oxygen species (ROS). The complete genome of L. plantarum MWFLp-182 contained a single circular chromosome that was 3 257 196 bp long， with a G + C content of 44.49%， and a single circular plasmid that was 53 560 bp long. The genes tpx， trxA， trxB， npr， nrdH， dps， recA， gpx， gshA and arsC in this strain were related to antioxidant function; the key genes involved in antioxidant function were further investigated. In this study， we identified a probiotic candidate with antioxidant properties.

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Erosion-induced recovery CO_(2) sink offset the horizontal soil organic carbon removal at the basin scale

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Science China Earth Sciences 2024年第6期67卷 2019-2033页

作者： Lingxia WANG Xiaodong nie Jiaqi LI Yaojun LIU hui WANG Yazhe LI Zhongwu LI School of Geographic Science Hunan Normal UniversityChangsha 410081China Institute of Interdisciplinary Studies Hunan Normal University and Hunan Provincial Key Laboratory for Eco-environmental Changes and Carbon Sequestration of the Dongting Lake BasinChangsha 410081China College of Environmental Science and Engineering Hunan University and Key Laboratory of Environmental Biology and Pollution Control(Hunan University)Ministry of EducationChangsha 410082China

To improve soil carbon sequestration capacity,the full soil carbon cycle process needs to be understood and quantified.It is essential to evaluate whether water erosion acts as a net source or sink of atmospheric CO_(2)at the basin scale,which encompasses the entire hydrological process.This study introduced an approach that combined a spatially distributed sediment delivery model and biogeochemical model to estimate the lateral and vertical carbon fluxes by water erosion at the basin scale.Applying this coupling model to the Dongting Lake Basin,the results showed that the annual average amount of soil erosion during 1980-2020 was 1.33×10^(8)t,displaying a decreasing trend followed by a slight increase.Only 12% of the soil organic carbon displacement was ultimately lost in the riverine systems,and the rest was deposited downhill within the basin.The average lateral soil organic carbon loss induced by erosion was 8.86×10^(11)g C in 1980 and 1.50×10^(11)g C in 2020,with a decline rate of 83%.A net land sink for atmospheric CO_(2)of 5.54×1011g C a^(-1)occurred during erosion,primarily through sediment burial and dynamic replacement.However,ecological restoration projects and tillage practice policies are still significant in reducing erosion,which could improve the capacity of the carbon sink for recovery beyond the rate of horizontal carbon removal.Moreover,our model enables the spatial explicit simulation of erosion-induced carbon fluxes using costeffective and easily accessible input data across large spatial scales and long timeframes.Consequently,it offers a valuable tool for predicting the interactions between carbon dynamics,land use changes,and future climate.

关键词： Water erosion Sediment transfer Lateral soil carbon loss Land-atmosphere CO_(2) flux Dongting Lake Basin

Rapid and sensitive detection of Epstein-Barr virus antibodies in nasopharyngeal carcinoma by chemiluminescence strips based on iron-porphyrin single atom nanozyme

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Nano Research 2024年第3期17卷 1827-1836页

作者： Daji Wang Jie Wang Dan Liu Jiuyang He Meiying Wang Haibing Huang Guohui nie hui Ding Xiyun Yan Nanozyme Synthesis Center Shenzhen Institute of Synthetic BiologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Center for Drug Evaluation National Medical Products AdministrationBeijing 100022China Shenzhen Key Laboratory of nanozymes and Translational Cancer Research Department of Otolaryngologyand Shenzhen Institute of Translational MedicineShenzhen Second People’s Hospital/the First Affiliated Hospital of Shenzhen University Health Science CenterShenzhen 518035China CAS Engineering Laboratory for Nanozyme Key Laboratory of Protein and Peptide PharmaceuticalInstitute of BiophysicsChinese Academy of SciencesBeijing 100101China Department of Rheumatology and Immunology Shenzhen Second People’s HospitalThe First Affiliated Hospital of Shenzhen UniversityShenzhen 518055China

The correlation between Epstein-Barr virus(EBV)infection and nasopharyngeal carcinoma(NPC)risk has been extensively researched.The continual monitoring of EBV-IgAs provides a promising approach of NPC screening in its early stage.In this study,we successfully synthesized a single-atom nanozyme(SANzyme)through the application of iron-porphyrin based metal organic framework(MOF-FeP).The MOF-FeP possesses precisely-defined electronic and geometric structures that accurately mimic highly-evolved catalytic site of natural peroxidase.The peroxidase-like activity of MOF-FeP enables it to catalyze the chemiluminescence of luminol substrate.By integrating MOF-FeP into a traditional strip,we created a rapid and highly-sensitive evaluation tool for detecting EBV-IgAs.Importantly,the MOF-FeP strip enables the simultaneous detection of three EBV-IgAs,greatly improving the accuracy of EBV-associated NPC screening.The sensitivities of the MOF-FeP strip(75.56%–93.30%)surpass those of current enzyme-linked immunosorbent assay(ELISA)methods(64.44%–82.22%).This test takes only 16 min to perform as opposed to the customary 1–2 h required for standard ELISA.Additionally,the MOF-FeP strip is suitable for whole blood samples,thereby significantly simplifying the sample preparation and detection process.In conclusion,the MOF-FeP strip combines the simplicity of traditional strip with the high catalytic activity of SANzyme.Our innovative MOF-FeP strip offers a new point-of-care strategy for EBV-IgAs detection,which is expected to markedly facilitate early screening for EBV-associated diseases.

关键词： iron-porphyrin single-atom nanozyme(SANzyme) chemiluminescence strips Epstein-Barr virus(EBV) nasopharyngeal carcinoma(NPC) antibody detection

Machine learning for carbonate formation drilling: Mud loss prediction using seismic attributes and mud loss records

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Petroleum Science 2024年第2期21卷 1241-1256页

作者： hui-Wen Pang Han-Qing Wang Yi-Tian Xiao Yan Jin Yun-Hu Lu Yong-Dong Fan Zhen nie National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China College of Science China University of Petroleum-BeijingBeijing102249China Petroleum Exploration and Production Research Institute SINOPECBeijing102206China College of Petroleum Engineering China University of Petroleum-BeijingBeijing102249China Research Institute of Petroleum Exploration and Development CNPCBeijing100083China

Due to the complexity and variability of carbonate formation leakage zones, lost circulation prediction and control is one of the major challenges of carbonate drilling. It raises well-control risks and production expenses. This research utilizes the H oilfield as an example, employs seismic features to analyze mud loss prediction, and produces a complete set of pre-drilling mud loss prediction solutions. Firstly, 16seismic attributes are calculated based on the post-stack seismic data, and the mud loss rate per unit footage is specified. The sample set is constructed by extracting each attribute from the seismic trace surrounding 15 typical wells, with a ratio of 8:2 between the training set and the test set. With the calibration results for mud loss rate per unit footage, the nonlinear mapping relationship between seismic attributes and mud loss rate per unit size is established using the mixed density network model.Then, the influence of the number of sub-Gausses and the uncertainty coefficient on the model's prediction is evaluated. Finally, the model is used in conjunction with downhole drilling conditions to assess the risk of mud loss in various layers and along the wellbore trajectory. The study demonstrates that the mean relative errors of the model for training data and test data are 6.9% and 7.5%, respectively, and that R2is 90% and 88%, respectively, for training data and test data. The accuracy and efficacy of mud loss prediction may be greatly enhanced by combining 16 seismic attributes with the mud loss rate per unit footage and applying machine learning methods. The mud loss prediction model based on the MDN model can not only predict the mud loss rate but also objectively evaluate the prediction based on the quality of the data and the model.

关键词： Lost circulation Risk prediction Machine learning Seismic attributes Mud loss records

Information Protocol Equilibrium in n-insider Perfect Competition with a Random Deadline

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Acta Mathematicae Applicatae Sinica 2024年

作者： Qi-hong nie Ji-xiu QIU Ji-ze LI Yong-hui ZHOU School of Big Data and Computer Sciences Guizhou Normal University School of Mathematical Sciences Guizhou Normal University

This paper studies a model of n insiders with perfect information trading on a risky asset with value normally distributed and disclosed at a random deadline. We propose a concept of information protocol equilibrium under semi-strong efficient pricing, consisting of an n-profile of insider trading strategies with terminal residual information protocols, and find that if a common protocol on terminal residual information before trading is obeyed by all insiders, then, in the market with more than two insiders there exists a uique equilibrium only when it requires to release common partial information eventually, or it does not exist if it requires to release all or not any; but in the market with a single insider, the insider may release all private information eventually to make a maximal profit. Thereby, the existence and uniqueness of information protocol equilibrium among n insiders are deduced. Finally, numerical results illustrate some market characteristics of equilibria with different information protocols required before trading.

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The interaction between KIF21A and KANK1 regulates dendritic morphology and synapse plasticity in neurons

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Neural Regeneration Research 2025年第1期20卷 209-223页

作者： Shi-Yan Sun Lingyun nie Jing Zhang Xue Fang Hongmei Luo Chuanhai Fu Zhiyi Wei Ai-hui Tang Hefei National Research Center for Physical Sciences at the Microscale CAS Key Laboratory of Brain Function and DiseaseMinistry of Education Key Laboratory for Membrane-less Organelles and Cellular DynamicsDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui ProvinceChina Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefeiAnhui ProvinceChina CAS Center for Excellence in Molecular Cell Sciences Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui ProvinceChina Department of Neurobiology School of Life SciencesSouthern University of Science and TechnologyShenzhenGuangdong ProvinceChina Brain Research Center Southern University of Science and TechnologyShenzhenGuangdong ProvinceChina

Morphological alterations in dendritic spines have been linked to changes in functional communication between neurons that affect learning and memory.Kinesin-4 KIF21A helps organize the microtubule-actin network at the cell cortex by interacting with KANK1;however,whether KIF21A modulates dendritic structure and function in neurons remains unknown.In this study,we found that KIF21A was distributed in a subset of dendritic spines,and that these KIF21A-positive spines were larger and more structurally plastic than KIF21A-negative spines.Furthermore,the interaction between KIF21A and KANK1 was found to be critical for dendritic spine morphogenesis and synaptic plasticity.Knockdown of either KIF21A or KANK1 inhibited dendritic spine morphogenesis and dendritic branching,and these deficits were fully rescued by coexpressing full-length KIF21A or KANK1,but not by proteins with mutations disrupting direct binding between KIF21A and KANK1 or binding between KANK1 and talin1.Knocking down KIF21A in the hippocampus of rats inhibited the amplitudes of long-term potentiation induced by high-frequency stimulation and negatively impacted the animals’cognitive abilities.Taken together,our findings demonstrate the function of KIF21A in modulating spine morphology and provide insight into its role in synaptic function.

关键词： actin cytoskeleton dendrite KANK1 KIF21A microtubule spine morphology spine synaptic plasticity talin1

结合梯度提升树算法与可解释机器学习模型SHAP的抑郁症影响因素研究

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数据分析与知识发现 2024年第3期8卷 41-52页

作者：聂卉吴晓燕中山大学信息管理学院广州510275

【目的】本研究旨在探讨构建抑郁严重度预测模型及其解释性问题,通过分析互联网用户生成的内容,进一步发展抑郁症风险预测研究,从而提高抑郁症自动检测模型的可靠性和实用性。【方法】通过收集“好大夫在线”平台上的抑郁症医疗咨询文... 详细信息

【目的】本研究旨在探讨构建抑郁严重度预测模型及其解释性问题,通过分析互联网用户生成的内容,进一步发展抑郁症风险预测研究,从而提高抑郁症自动检测模型的可靠性和实用性。【方法】通过收集“好大夫在线”平台上的抑郁症医疗咨询文本记录,构建了一个语料库。利用心理学词典,从中提取了患者的心理特征,并采用梯度提升树算法预测患者的病情,同时引入可解释机器学习方法SHAP解读模型,借助SHAP独特的可视化图表剖析患者年龄、性别、认知、情感、感知、社会家庭及个人得失与抑郁症发生之间的复杂关系。【结果】抑郁症患者心理状态能反馈患者病况,利用从患者问诊记录中提取的心理特征能够有效检测重度抑郁,准确率达到86%。可解释机器学习模型SHAP解释了模型的预测结果,揭示出患者各层面心理特征对抑郁症发生产生的多重效应。【局限】受语料集所限,仅利用单次问诊记录对抑郁程度做预测;而模型特征基于心理学词典,更多与抑郁症发生风险有关的要素可纳入建模考虑中。【结论】影响抑郁症产生及发展的因素复杂。个体差异致使各项特征对于疾病预测产生不同效应。构建抑郁症的自动诊断模型,不仅要关注模型的精准度,更需增强对模型预测的理解。

关键词：抑郁症预测在线用户生成内容可解释机器学习梯度提升树算法

Introducing electrolytic electrochemical polymerization for constructing protective layers on Ni-rich cathodes of Li-ion batteries

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Rare Metals 2024年第6期43卷 2536-2545页

作者： Lin-Tao Dou Bei Li Hao-Long nie Dong-Dong Xiao Chao-Qun Shang Xiao-Min Wang Zhan-hui Zhang Katerina E.Aifantis Pu Hu School of Materials Science and Engineering Wuhan Institute of Technology Huairou Division Institute of PhysicsChinese Academy of Sciences Department of Mechanical and Aerospace Engineering University of Florida

LiNi0.8Co0.1Mn0.1O2（NCM811） is the most promising cathode for high-energy Li-ion batteries,despite its poor cycling stability that originates from the reactions that occur with the electrolyte.Herein,to solve this interfacial issue,a facile electrolytic electrochemical polymerization process was introduced in this paper,and a uniform conductive electrolyte interface（polyaniline） was successfully constructed on the surface of the NCM811 porous electrode（PANI-NCM）,which facilitated the charge transfer during charge/discharge.The side reactions at the interface between the cathode and the electrolyte are suppressed,and thereby,the cycling performance and rate capability are considerably improved.PANI-NCM delivers an initial capacity of 157.2 mAh·g-1as well as excellent cyclability（capacity retention of 88% after 500 cycles at 2C）,whereas the capacity of the bare NCM811 has dropped to 31.3 mAh·g-1.In addition,polypyrrole and polythiophene also can be formed through electrolytic electrochemical polymerization process,which provides a practicable tactic to modify the interfacial stability of cathodes for high-energy Li-ion batteries.

关键词： Lithium-ion battery Ni-rich cathode In-situ polymerization Conductive polymer Electrochemical performance

Erosion-induced recovery COsink offset the horizontal soil organic carbon removal at the basin scale

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Science China Earth Sciences 2024年

作者： Lingxia WANG Xiaodong nie Jiaqi LI Yaojun LIU hui WANG Yazhe LI Zhongwu LI College of Environmental Science and Engineering Hunan University and Key Laboratory of Environmental Biology and Pollution Control (Hunan University) Ministry of Education School of Geographic Science Hunan Normal University Institute of Interdisciplinary Studies Hunan Normal University and Hunan Provincial Key Laboratory for Eco-environmental Changes and Carbon Sequestration of the Dongting Lake Basin

To improve soil carbon sequestration capacity, the full soil carbon cycle process needs to be understood and quantified. It is essential to evaluate whether water erosion acts as a net source or sink of atmospheric CO2at the basin scale,which encompasses the entire hydrological process. This study introduced an approach that combined a spatially distributed sediment delivery model and biogeochemical model to estimate the lateral and vertical carbon fluxes by water erosion at the basin scale. Applying this coupling model to the Dongting Lake Basin, the results showed that the annual average amount of soil erosion during 1980–2020 was 1.33×108t, displaying a decreasing trend followed by a slight increase. Only 12% of the soil organic carbon displacement was ultimately lost in the riverine systems, and the rest was deposited downhill within the basin.The average lateral soil organic carbon loss induced by erosion was 8.86×1011g C in 1980 and 1.50×1011g C in 2020, with a decline rate of 83%. A net land sink for atmospheric CO2of 5.54×1011g C a-1occurred during erosion, primarily through sediment burial and dynamic replacement. However, ecological restoration projects and tillage practice policies are still significant in reducing erosion, which could improve the capacity of the carbon sink for recovery beyond the rate of horizontal carbon removal. Moreover, our model enables the spatial explicit simulation of erosion-induced carbon fluxes using costeffective and easily accessible input data across large spatial scales and long timeframes. Consequently, it offers a valuable tool for predicting the interactions between carbon dynamics, land use changes, and future climate.

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