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Carbon-based nanomaterials cause toxicity by oxidative stress to the liver and brain in Sprague-Dawley rats

Nuclear Science and Techniques 2024年第6期35卷 54-64页

作者： Ying-Ying Xu Chan Jin Meng Wu Jian-Ye zhou Hui-ling Wei Department of Gastroenterology China-Japan Friendship HospitalBeijing 100029China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China Institute of Particle and Nuclear Physics College of PhysicsHenan Normal UniversityXinxiang 453007China

Carbon-based nanomaterials have important research significance in various disciplines,such as composite materials,nanoelectronic devices,biosensors,biological imaging,and drug ***,the human and ecological risks associated with carbon-based nanomaterials have received increasing ***,the biological safety of carbon based nanomaterials has not been systematically *** this study,we used different types of carbon materials,namely,graphene oxide(GO),single-walled carbon nanotubes(SWCNTs),and multiwalled carbon nanotubes(MWCNTs),as models to observe their distribution and oxidative damage in *** results of Histopathological and ultrastructural examinations indicated that the liver and lungs were the main accumulation targets of these ***-μ-XRF analysis revealed that SWCNTs and MWCNTs might be present in the *** shows that the three types of carbon-based nanomaterials could cross the gas-blood barrier and eventually reach the liver *** addition,SWCNTs and MWCNTs could cross the blood-brain barrier and accumulate in the cerebral *** increase in ROS and MDA levels and the decrease in GSH,SOD,and CAT levels indicated that the three types of nanomaterials might cause oxidative stress in the *** suggests that direct instillation of these carbon-based nanomaterials into rats could induce ROS *** addition,iron(Fe)contaminants in these nanomaterials were a definite source of free ***,these nanomaterials did not cause obvious damage to the rat brain *** deposition of selenoprotein in the rat brain was found to be related to oxidative stress and Fe *** information may support the development of secure and reasonable applications of the studied carbon-based nanomaterials.

关键词： Carbon-based nanomaterials Oxidative stress Trace element distribution TEM SR-μ-XRF

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Clustering for Bivariate Functional Data

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Acta Mathematicae Applicatae Sinica 2024年第3期40卷 613-629页

作者： Shi-yun CAO Yan-qiu zhou Yan-ling WAN Tao ZHANG School of Science Guangxi University of Science and TechnologyLiuzhou 545006China School of Marxism Guangxi University of Science and TechnologyLiuzhou 545006China Key Laboratory of Intelligent Information Processing and Graph Processing Guangxi University of Science and TechnologyLiuzhou 545006China

In this paper,we consider the clustering of bivariate functional data where each random surface consists of a set of curves recorded repeatedly for each *** k-centres surface clustering method based on marginal functional principal component analysis is proposed for the bivariate functional data,and a novel clustering criterion is presented where both the random surface and its partial derivative function in two directions are *** addition,we also consider two other clustering methods,k-centres surface clustering methods based on product functional principal component analysis or double functional principal component *** results indicate that the proposed methods have a nice performance in terms of both the correct classification rate and the adjusted rand *** approaches are further illustrated through empirical analysis of human mortality data.

关键词： bivariate functional data -centres surface clustering functional principal component analysis partial derivative function

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Manufacturing task data chain-driven production logistics trajectory analysis and optimization decision making method

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Advances in Manufacturing 2024年第1期12卷 185-206页

作者： Lin ling Zhe-Ming Song Xi Zhang Peng-zhou Cao Xiao-Qiao Wang Cong-Hu Liu Ming-zhou Liu School of Mechanical Engineering Hefei University of TechnologyHefei230009People’s Republic of China Guobo Electronics Co.Ltd. Nanjing211111People’s Republic of China School of Mechanical and Electronic Engineering Suzhou UniversitySuzhou234000AnhuiPeople’s Republic of China Sino-US Global Logistics Institute Shanghai Jiao Tong UniversityShanghai200030People’s Republic of China

Production logistics(PL)is considered as a critical factor that affects the efficiency and cost of production operations in discrete manufacturing *** effectively utilize manufacturing big data to improve PL efficiency and promote job shop floor economic benefits,this study proposes a PL trajectory analysis and optimization decision making method driven by a manufacturing task data chain(MTDC).First,the manufacturing task chain(MTC)is defined to characterize the discrete production process of a *** handle manufacturing big data,the MTC data paradigm is designed,and the MTDC is ***,the logistics trajectory model is presented,where the various types of logistics trajectories are extracted using the MTC as the search engine for the *** on this,a logistics efficiency evaluation indicator system is proposed to support the optimization decision making for the ***,a case study is applied to verify the proposed method,and the method determines the PL optimization decisions for PL efficiency without changing the layout and workshop equipment,which can assist managers in implementing the optimization decisions.

关键词： Production logistics(PL) Logistics trajectory analysis Logistics optimization Data driven Manufacturing task data chain(MTDC)

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Effect of fermented Rosa roxburghii Tratt fruit juice on gut microbiota in a dextran sulfate sodium-induced colitis mouse model

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Food Science and Human Wellness 2024年第4期13卷 2234-2243页

作者： Yunyang zuo Haoxiang Xu Dandan Feng Yuanyuan Shi Jiuchang Li Maoyang Wei ling Wang Yulong Zhang Ping Hu School of Liquor and Food Engineering Guizhou UniversityGuiyang 550025China

This study mainly investigated the regulatory effect of Rosa roxburghii Tratt fruit juice fermented by Lacticaseibacillus paracasei SR10-1(LAB-RRTJ)on modulating gut microbiota in dextran sulfate sodium(DSS)-induced ulcerative colitis in *** to control group,DSS induction decreased body weight of mice,indexes of Shannon,Simpson,Chao1 and Faith_pd,and increased disease activity index(DAI)and levels of interleukin 1β(IL-1β),IL-6,tumor necrosis factorα(TNF-α)and interferon-γ(IFN-γ);And this induction also led to an increase in Proteobacteria,Verrucomicrobia and Actinobacteria at phylum level,harmful bacterial species richness at genus level,and relative richness of ***,Desulfovibrio C21_c20,*** and Akkermansia muciniphila at species level,and a decrease in Firmicutes at phylum level and relative richness of *** in ***-RRTJ increased body weight of mice with DSS induced ulcerative colitis(UC)and indexes of Shannon,Simpson,Chao1 and Faith_pd,reduced DAI and the content of four infl ammatory factors and improved gut microbiota imbalance in DSS induced UC ***,the number of operational taxonomic units(OTUs)increased,α-diversity andβ-diversity were restored and similar to those in mice in the control group after LAB-RRTJ *** with the positive drug treatment group,LAB-RRTJ has a better effect on regulating gut microbiota diversity in colitis *** analysis showed that infl ammatory factors were positively correlated with harmful bacteria and negatively correlated with beneficial bacteria which commonly found in some colitis *** together,our study demonstrated that LAB-RRTJ could alleviate DSS-induced colitis in mice through the modulation of infl ammatory cytokines and gut microbiota composition.

关键词： Rosa roxburghii Tratt Lacticaseibacillus paracasei Ulcerative colitis Fermentation characteristics

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Electron delocalization-enhanced sulfur reduction kinetics on an MXene-derived heterostructured electrocatalyst

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Nano Research 2024年第8期17卷 7153-7162页

作者： Yunmeng Li Yinze zuo Xiang Li Yongzheng Zhang Cheng Ma Xiaomin Cheng Jian Wang Jitong Wang Hongzhen Lin Licheng ling State Key Laboratory of Chemical Engineering Key Laboratory of Specially Functional Polymeric Materials and Related Technology(Ministry of Education)East China University of Science and TechnologyShanghai 200237China Institute of New Energy Materials and Engineering College of Materials Science and EngineeringFuzhou UniversityFuzhou 350108China Key Laboratory of Specially Functional Polymeric Materials and Related Technology(Ministry of Education) School of Materials Science and EngineeringEast China University of Science and TechnologyShanghai 200237China i-Lab&CAS Key Laboratory of Nanophotonic Materials and Device Suzhou Institute of Nano-Tech and Nano-Bionics Chinese Academy of SciencesSuzhou 215123China Helmholtz Institute Ulm(HIU) D89081 UlmGermany

Lithium-sulfur(Li-S)batteries mainly rely on the reversible electrochemical reaction of between lithium ions(Li^(+))and sulfur species to achieve energy storage and conversion,therefore,increasing the number of free Li^(+)and improving the Li^(+)diffusion kinetics will effectively enhance the cell ***,Mo-based MXene heterostructure(MoS_(2)@Mo_(2)C)was developed by partial vulcanization of Mo_(2)C MXene,in which the introduction of similar valence S into Mo-based MXene(Mo_(2)C)can create an electron delocalization *** theoretical simulations and electrochemical characterisation,it is demonstrated that the MoS_(2)@Mo_(2)C heterojunction can effectively promote ion desolvation,increase the amount of free Li^(+),and accelerate Li^(+)transport for more efficient polysulfide *** addition,the MoS_(2)@Mo_(2)C material is also capable of accelerating the oxidation and reduction of polysulfides through its sufficient defects and vacancies to further enhance the catalytic ***,the Li-S battery with the designed MoS_(2)@Mo_(2)C electrocatalyst performed for 500 cycles at 1 C and still maintained the ideal capacity(664.7 mAh·g^(−1)),and excellent rate performance(567.6 mAh·g^(−1)at 5 C).Under the extreme conditions of high loading,the cell maintained an excellent capacity of 775.6 mAh·g^(−1)after 100 *** also retained 838.4 mAh·g^(−1)for 70 cycles at a low temperature of 0℃,and demonstrated a low decay rate(0.063%).These results indicate that the delocalized electrons effectively accelerate the catalytic conversion of lithium polysulfide,which is more practical for enhancing the behaviour of Li-S batteries.

关键词： delocalized electron lithium sulfur batteries MXene-based heterostructures catalytic desolvation multi-catalytic sites

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Widespread and active piezotolerant microorganisms mediate phenolic compound degradation under high hydrostatic pressure in hadal trenches

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Marine Life Science & Technology 2024年第2期6卷 331-348页

作者： Hao ling Yongxin Lv Yu Zhang Ning‑Yi zhou Ying Xu State Key Laboratory of Microbial Metabolism Joint International Research Laboratory of Metabolic and Developmental Sciences and School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghai 200240China School of Oceanography Shanghai Jiao Tong UniversityShanghai 200240China State Key of Laboratory of Ocean Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Phenolic compounds,as well as other aromatic compounds,have been reported to be abundant in hadal *** high-throughput sequencing studies have hinted at the potential of hadal microbes to degrade these compounds,direct microbiological,genetic and biochemical evidence under in situ pressures remain ***,a microbial consortium and a pure culture of Pseudomonas,newly isolated from Mariana Trench sediments,efficiently degraded phenol under pressures up to 70 and 60 MPa,respectively,with concomitant increase in *** analyzing a high-pressure(70 MPa)culture metatranscriptome,not only was the entire range of metabolic processes under high pressure generated,but also genes encod-ing complete phenol degradation via ortho-and meta-cleavage pathways were *** isolate of Pseudomonas also contained genes encoding the complete degradation *** transcribed genes(dmpKLMNOP_(sed))were functionally identified to encode a multicomponent hydroxylase catalyzing the hydroxylation of phenol and its methylated derivatives by heterogeneous *** addition,key catabolic genes identified in the metatranscriptome of the high-pressure cultures and genomes of bacterial isolates were found to be all widely distributed in 22 published hadal microbial *** microbiological,genetic,bioinformatics,and biochemical levels,this study found that microorganisms widely found in hadal trenches were able to effectively drive phenolic compound degradation under high hydrostatic *** information will bridge a knowledge gap concerning the microbial aromatics degradation within hadal trenches.

关键词： Hadal trench High hydrostatic pressure Phenolic compounds degradation Piezotolerant microorganisms Widespread distribution

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Wild Gibbon Optimization Algorithm

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Computers, Materials & Continua 2024年第7期80卷 1203-1233页

作者： Jia Guo JinWang Ke Yan Qiankun zuo Ruiheng Li zhou He Dong Wang Yuji Sato Hubei Key Laboratory of Digital Finance Innovation Hubei University of EconomicsWuhan430205China School of Information Engineering Hubei University of EconomicsWuhan430205China China Construction Third Engineering Bureau Installation Engineering Co. Ltd.Wuhan430074China Hubei Internet Finance Information Engineering Technology Research Center Hubei University of EconomicsWuhan430205China College of Informatics Huazhong Agricultural UniversityWuhan430070China Faculty of Computer and Information Sciences Hosei UniversityTokyo184-8584Japan

Complex optimization problems hold broad significance across numerous fields and ***,as the dimensionality of such problems increases,issues like the curse of dimensionality and local optima trapping also *** address these challenges,this paper proposes a novel Wild Gibbon Optimization Algorithm(WGOA)based on an analysis of wild gibbon population *** two strategies:community search and community *** community search strategy facilitates information exchange between two gibbon families,generating multiple candidate solutions to enhance algorithm ***,the community competition strategy reselects leaders for the population after each iteration,thus enhancing algorithm *** assess the algorithm’s performance,CEC2017 and CEC2022 are chosen as test *** the CEC2017 test suite,WGOA secures first place in 10 *** the CEC2022 benchmark functions,WGOA obtained the first rank in 5 *** ultimate experimental findings demonstrate that theWildGibbonOptimization Algorithm outperforms others in tested *** underscores the strong robustness and stability of the gibbonalgorithm in tackling complex single-objective optimization problems.

关键词： Complex optimization wild gibbon optimization algorithm community search community competition

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Learning to Branch in Combinatorial Optimization With Graph Pointer Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 157-169页

作者： Rui Wang Zhiming zhou Kaiwen Li Tao Zhang ling Wang Xin Xu Xiangke Liao IEEE the Xiangjiang Laboratory and the College of Systems Engineering National University of Defense TechnologyChangsha 410073China the Institute of Automation Chinese Academy of SciencesBeijing 100190China the College of Systems Engineering National University of Defense TechnologyChangsha 410073 the Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology Changsha 410073China the Department of Automation Tsinghua UniversityBeijing 100084China the College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410073China the College of Computer Science and Technology National University of Defense TechnologyChangsha 410073China

Traditional expert-designed branching rules in branch-and-bound(B&B) are static, often failing to adapt to diverse and evolving problem instances. Crafting these rules is labor-intensive, and may not scale well with complex *** the frequent need to solve varied combinatorial optimization problems, leveraging statistical learning to auto-tune B&B algorithms for specific problem classes becomes attractive. This paper proposes a graph pointer network model to learn the branch rules. Graph features, global features and historical features are designated to represent the solver state. The graph neural network processes graph features, while the pointer mechanism assimilates the global and historical features to finally determine the variable on which to branch. The model is trained to imitate the expert strong branching rule by a tailored top-k Kullback-Leibler divergence loss function. Experiments on a series of benchmark problems demonstrate that the proposed approach significantly outperforms the widely used expert-designed branching rules. It also outperforms state-of-the-art machine-learning-based branch-and-bound methods in terms of solving speed and search tree size on all the test instances. In addition, the model can generalize to unseen instances and scale to larger instances.

关键词： Branch-and-bound(B&B) combinatorial optimization deep learning graph neural network imitation learning

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Prevalence and Risk Factors of Stroke in Inpatients with Type 2 Diabetes Mellitus in China

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当代医学科学（英文） 2024年第4期44卷 698-706页

作者： zuo-ling XIE Chen-chen WANG Xi HUANG Zheng WANG Hai-yan SHANGGUAN Shao-hua WANG Department of Endocrinology the Affiliated ZhongDa Hospital of Southeast UniversityNanjing 210009China School of Medicine Southeast UniversityNanjing 210009China Department of Endocrinology the Affiliated ZhongDa Hospital of Southeast UniversityNanjing 210009China School of Medicine Southeast UniversityNanjing 210009China

Objective:The prevalence and the cluster characteristics of risk factors of stroke were assessed in a Chinese diabetic ***:Clinical data of 30 693 inpatients who were diagnosed with type 2 diabetes mellitus(T2DM)and admitted between 2013 and 2018 were retrospectively *** age-standardized prevalence of stroke was estimated using the 2010 Chinese population census data,and risk factors were analyzed by multiple imputation and ***:The crude and standardized prevalence rates of stroke in patients with T2DM were 34.4％and 21.5％,respectively,and 85.2％of the stroke patients had ischemic *** half of the patients who experienced stroke had clusters of more than 4 risk *** with no-risk-factor clustering,the risk of stroke significantly increased 3-4 times in the presence of more than 4 risk-factor clusters(P＜0.001).Hypertension was the most common major risk factor for ischemic stroke[odds ratio(OR),2.34;95％confidence interval(CI),2.18-2.50]and hemorrhagic stroke(OR,3.68;95％CI 2.95-4.59;P＜0.001).Moreover,a 1-standard-deviation increase in fasting blood glucose(FBG)was significantly negatively correlated with ischemic stroke risk,and the same change in FBG was significantly associated with an 8％increased risk of hemorrhagic ***:The prevalence of stroke in patients with T2DM is rather high,and the clustering of risk factors is associated with the development of stroke in T2DM *** factors differ in different stroke *** risk factors for a specific high-risk group is necessary.

关键词： cluster prevalence risk factor stroke type 2 diabetes mellitus

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混沌与拓扑传递属性

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中山大学学报（自然科学版） 2006年第5期45卷 5-8页

作者：尹建东周作领中山大学数学与计算科学学院广东广州510275 中山大学岭南学院广东广州510275

得到一个动力系统如果存在非几乎周期的(拟)弱几乎周期点,则存在子系统在修改的狄万内意义下是混沌的。还证明了正规极小点稠密的完全拓扑传递系统是双重拓扑遍历的,从而对有限型子转移而言,拓扑强混合与完全拓扑传递等价。

关键词： (拟)弱几乎周期点修改狄万内意义下混沌有限型子转移完全拓扑传递

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