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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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Changes in milk fat globule membrane proteins along lactation stage of Laoshan dairy goat

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Journal of Integrative Agriculture 2024年第5期23卷 1737-1748页

作者： Chuozi Liang Zhongna Yu Guangming Zhu Yixuan Li Xueheng Sun Hongning Jiang Qijing Du Rongbo Fan Jun Wang yongxin yang Rongwei Han College of Food Science and Engineering Qingdao Agricultural UniversityQingdao 266109China Bathurst Future Agri-Tech Institute Qingdao Agricultural UniversityQingdao 266109China Haidu Cllege Qingdao Agricultural UniversityQingdao 266109China

The milk fat globule membrane(MFGM)is a complex structure with numerous functions,and its composition is affected by many factors.There have been few systematic investigations on goat MFGM proteome profiling during lactation.Individual milk samples from 15 healthy dairy goats were obtained at six lactation time points for investigation of the MFGM proteome using both data-independent acquisition(DIA)and data-dependent acquisition(DDA)proteomics techniques combined with multivariate statistical analysis.Using the DIA method,890 variably abundant MFGM proteins were discovered throughout the lactation cycle.From 1 to 240 d,butyrophilin subfamily 1 member A1,lipoprotein lipase,perilipin-2,and adipose triglyceride lipase were upregulated,while APOE,complement C3,clusterin,and IgG were downregulated.Furthermore,from 1 to 90 d,annexin A1,annexin A2,and antithrombin-ll were downregulated,then upregulated by d 240.Albumin had a high degree of connectedness,indicating that it was a key protein,according to protein-protein interaction research.Overall,our findings gave new insights into the biological features of MFGM protein in goat milk throughout lactation,which may aid in the creation of specialized MFGM products and infant formula.

关键词： goat milk fat globule membrane protein data-independent acquisition(DIA) data-dependent acquisition(DDA) lactation proteomics

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Fluorogenic sensing of amorphous aggregates,amyloid fibers,and chaperone activity via a near-infrared aggregation-induced emission-active probe

Aggregate

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Aggregate 2024年第1期5卷 309-320页

作者： Wei He Yuanyuan yang Yuhui Qian Zhuoyi Chen yongxin Zheng Wenping Zhao Chenxu Yan Zhiqian Guo Shu Quan State Key Laboratory of Bioreactor Engineering Shanghai Collaborative Innovation Center for Biomanufacturing(SCICB)East China University of Science and TechnologyShanghaiChina Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Shanghai Key Laboratory of Functional Materials ChemistryFrontiers Science Center for Materiobiology and Dynamic ChemistryInstitute of Fine ChemicalsSchool of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghaiChina Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism East China University of Science and TechnologyShanghaiChina

The presence of protein aggregates in numerous human diseases underscores the significance of detecting these aggregates to comprehend disease mechanisms and develop novel therapeutic approaches for combating these disorders.Despite the development of various biosensors and fluorescent probes that selectively target amyloid fibers or amorphous aggregates,there is still a lack of tools capable of simultaneously detecting both types of aggregates.Herein,we demonstrate the quantitative discernment of amorphous aggregates by QM-FN-SO3,an aggregationinduced emission(AIE)probe initially designed for detecting amyloid fibers.This probe easily penetrates the membranes of the widely-used prokaryotic model organism Escherichia coli,enabling the visualization of both amorphous aggregates and amyloid fibers through near-infrared fluorescence.Notably,the probe exhibits sensitivity in distinguishing the varying aggregation propensities of proteins,regardless of whether they form amorphous aggregates or amyloid fibers in vivo.These properties contribute to the successful application of the QM-FN-SO3 probe in the subsequent investigation of the antiaggregation activities of two outer membrane protein(OMP)chaperones,both in vitro and in their physiological environment.Overall,our work introduces a near-infrared fluorescent chemical probe that can quantitatively detect amyloid fibers and amorphous aggregates with high sensitivity in vitro and in vivo.Furthermore,it demonstrates the applicability of the probe in chaperone biology and its potential as a high-throughput screening tool for protein aggregation inhibitors and folding factors.

关键词： aggregation-induced emission fluorescence molecular chaperone protein aggregation

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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 trenches.Although 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 absent.Here,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 biomass.By 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 revealed.The isolate of Pseudomonas also contained genes encoding the complete degradation pathway.Six transcribed genes(dmpKLMNOP_(sed))were functionally identified to encode a multicomponent hydroxylase catalyzing the hydroxylation of phenol and its methylated derivatives by heterogeneous expression.In 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 metagenomes.At 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 pressures.This 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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Double DQN Method For Botnet Traffic Detection System

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Computers, Materials & Continua 2024年第4期79卷 509-530页

作者： Yutao Hu Yuntao Zhao yongxin Feng Xiangyu Ma School of Information Science and Engineering Shenyang Ligong UniversityShenyang110159China Graduate School Shenyang Ligong UniversityShenyang110159China

In the face of the increasingly severe Botnet problem on the Internet,how to effectively detect Botnet traffic in realtime has become a critical problem.Although the existing deepQnetwork(DQN)algorithminDeep reinforcement learning can solve the problem of real-time updating,its prediction results are always higher than the actual results.In Botnet traffic detection,although it performs well in the training set,the accuracy rate of predicting traffic is as high as%;however,in the test set,its accuracy has declined,and it is impossible to adjust its prediction strategy on time based on new data samples.However,in the new dataset,its accuracy has declined significantly.Therefore,this paper proposes a Botnet traffic detection system based on double-layer DQN(DDQN).Two Q-values are designed to adjust the model in policy and action,respectively,to achieve real-time model updates and improve the universality and robustness of the model under different data sets.Experiments show that compared with the DQN model,when using DDQN,the Q-value is not too high,and the detectionmodel has improved the accuracy and precision of Botnet traffic.Moreover,when using Botnet data sets other than the test set,the accuracy and precision of theDDQNmodel are still higher than DQN.

关键词： DQN DDQN deep reinforcement learning botnet detection feature classification

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Hybrid vibration isolation optimization of a flexible manipulator based on neural network agent model

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Chinese Journal of Aeronautics 2024年第5期37卷 482-505页

作者： yongxin ZHANG Liang LI Dingguo ZHANG Wei-Hsin LIAO Xian GUO School of Science Nanjing University of Science and TechnologyNanjing 210094China Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong KongChina

Segmented Active Constrained Layer Damping(SACLD)is an intelligent vibration-damping structure,which could be applied to the sectors of aviation,aerospace,and transportation engineering to reduce the vibration of flexible structures.Moreover,machine learning technology is widely used in the engineering field because of its efficient multi-objective optimization.The dynamic simulation of a rotational segmental flexible manipulator system is presented,in which enhanced active constrained layer damping is carried out,and the neural network model of Genetic Algorithm-Back Propagation(GA-BP)algorithm is investigated.Vibration suppression and structural optimization of the SACLD manipulator model are studied based on vibration mode and damping prediction.The modal responses of the SACLD manipulator model at rest and rotation are obtained.In addition,the four model indices are optimized using the GA-BP neural network:axial incision size,axial incision position,circumferential incision size,and circumferential incision position.Finally,the best model for vibration suppression is obtained.

关键词： Machine learning Vibration suppression Flexible manipulator Segmented active constrained layer damping Structural optimization

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Systematic identification of wheat spike developmental regulators by integrated multiomics, transcriptional network, GWAS, and genetic analyses

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Molecular Plant 2024年第3期17卷 438-459页

作者： Xuelei Lin yongxin Xu Dongzhi Wang Yiman yang Xiaoyu Zhang Xiaomin Bie Lixuan Gui Zhongxu Chen Yiliang Ding Long Mao Xueyong Zhang Fei Lu Xiansheng Zhang Cristobal Uauyo Xiangdong Fu Jun Xiao Key Laboratory of Plant Cell and Chromosome Engineering Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Nanjing Agricultural University NanjingJiangsu 210095China Key Laboratory of Crop Biology College of Life SciencesShandong Agricultural UniversityTaianShandong 271018China Department of Life Science Tcuni Inc.ChengduSichuan 610000China John Innes Centre Norwich Research ParkNorwich NR47UHUK Institute of Crop Sciences Chinese Academy of Agricultural SciencesBeijing 100081China CAS-JIC Centre of Excellence for Plant and Microbial Science(CEPAMS) Institute of Genetics and Developmental BiologyCASBeijing 100101China

The spike architecture of wheat plays a crucial role in determining grain number,making it a key trait for optimization in wheat breeding programs.In this study,we used a multi-omic approach to analyze the transcriptome and epigenome profiles of the young spike at eight developmental stages,revealing co-ordinated changes in chromatin accessibility and H3K27me3 abundance during the flowering transition.We constructed a core transcriptional regulatory network(TRN)that drives wheat spike formation and experimentally validated a multi-layer regulatorymodule involving TaSPL15,TaAGLG1,and TaFUL2.By integrating the TRN with genome-wide association studies,we identified 227 transcription factors,including 42 with known functions and 185 with unknown functions.Further investigation of 61 novel transcription factors using multiple homozygous mutant lines revealed 36 transcription factors that regulate spike architecture or flowering time,such as TaMYC2-A1,TaMYB30-A1,and TaWRKY37-A1.Of particular interest,TaMYB30-A1,downstream of and repressed by WFzP,was found to regulate fertile spikelet number.Notably,the excellent haplotype of TaMYB30-A1,which contains a C allele at the WFzP binding site,was enriched during wheat breeding improvement in China,leading to improved agronomic traits.Finally,we constructed a free and open access Wheat Spike Multi-Omic Database(http://39.***.48.156:8800/#/).Our study identifies novel and high-confidence regulators and offers an effective strategy for dissecting the genetic basis of wheat spike development,with practical value forwheat breeding.

关键词： wheat spike development epigenome TRN TaMYB30-A1 breeding selection

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Modifying Lyapunov exponent of chaotic map by self-cascading

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Science China Technological Sciences 2024年第7期67卷 2203-2214页

作者： YI ChenLong LI ChunBiao LI yongxin XIA Ming HUA ZhongYun School of Electronic and Information Engineering Nanjing University of Information Science & Technology School of Artificial Intelligence Nanjing University of Information Science & Technology School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School

The self-cascade(SC) method is an effective technique for chaos enhancement and complexity increasing in chaos maps.Additionally, the controllable self-cascade(CSC) method allows for more accurate control of Lyapunov exponents of the discrete map. In this work, the SC and CSC systems of the original map are derived, which enhance the chaotic performance while preserving the fundamental dynamical characteristics of the original map. Higher Lyapunov exponent of chaotic sequences corresponding to higher frequency are obtained in SC and CSC systems. Meanwhile, the Lyapunov exponent could be linearly controlled with greater flexibility in the CSC system. The verification of the numerical simulation and theoretical analysis is carried out based on the platform of CH32.

关键词： self-cascade controllable self-cascade chaos enhancement chaos control

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COF-based single Li^(+)solid electrolyte accelerates the ion diffusionandrestrains dendritegrowthin quasi-solid-state organic batteries

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Carbon Energy 2023年第2期5卷 171-183页

作者： Genfu Zhao Zhiyuan Mei Lingyan Duan Qi An yongxin yang Conghui Zhang Xiaoping Tan Hong Guo School of Materials and Energy Yunnan UniversityKunmingYunnanChina College of Chemistry and Chemical Engineering Yangtze Normal UniversityFulingChongqingChina

A solid-state electrolyte(SSE),which is a solid ionic conductor and electroninsulating material,is known to play a crucial role in adapting a lithium metal anode to a high-capacity cathode in a solid-state battery.Among the various SSEs,the single Li-ion conductor has advantages in terms of enhancing the ion conductivity,eliminating interfacial side reactions,and broadening the electrochemical window.Covalent organic frameworks(COFs)are optimal platforms for achieving single Li-ion conduction behavior because of wellordered one-dimensional channels and precise chemical modification features.Herein,we study in depth three types of Li-carboxylate COFs(denoted LiOOC-COFn,n=1,2,and 3)as single Li-ion conducting SSEs.Benefiting from well-ordered directional ion channels,the single Li-ion conductor LiOOC-COF3 shows an exceptional ion conductivity of 1.36×10^(-5) S cm^(-1) at room temperature and a high transference number of 0.91.Moreover,it shows excellent electrochemical performance with long-term cycling,high-capacity output,and no dendrites in the quasi-solid-state organic battery,with the organic small molecule cyclohexanehexone(C_(6)O_(6))as the cathode and the Li metal as the anode,and enables effectively avoiding dissolution of the organic electrode by the liquid electrolyte.

关键词： covalent organic frameworks quasi-solid-state organic battery single Li-ion conductor solid-state electrolyte

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Interfacial engineering of perfluoroalkyl functionalized covalent organic framework achieved ultra-long cycled and dendrite-free lithium anodes

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Nano Research 2023年第7期16卷 9289-9298页

作者： yongxin yang Conghui Zhang Zhiyuan Mei Yongjiang Sun Qi An Qi Jing Genfu Zhao Hong Guo International Joint Research Center for Advanced Energy Materials of Yunnan Province Yunnan Key Laboratory of Carbon Neutrality and Green Low-carbon TechnologiesSchool of Materials and EnergyYunnan UniversityKunming 650091China

The finite lithium-ion utilization,short cycling life,and lower capacity retention caused by irreversible dendrite growth become the maximum dilemma in lithium metal batteries’(LMBs’)commercialization.Herein,a perfluoroalkyl-functionalized covalent organic framework(COF-F6)equipped with high stability and supernal proton conduction is introduced as an artificial solid electrolyte interface to stable the lithium metal anode.Benefiting from the strong electron-withdrawing effect of perfluoroalkyl,Li^(+)will be freed more by the competition of electronegative fluorine(F)and bis(trifluoromethanesulphonyl)imide anion(TFSI^(-)).The dissociation of LiTFSI and process of Li^(+)desolvation are easier to achieve.In addition,high electronegative fluorine can also regulate local electron-cloud density to induce the fast immigration of Li^(+).All the above roles contribute to improving the Li^(+)transfer number(0.7)and achieving the goal of inhibiting Li dendrite.As a result,the perfluoroalkyl COF-F6 modified LMB presents outstanding cycling stability.The symmetric batteries accomplish an overlong life-span of more than 5000 h with a lower hysteresis voltage(11 mV)at 5 mA·cm^(-2).Also,no dendrites are observed when using an in-situ optical microscope to learn the process of Li deposition.Therefore,this dendrite-free protection tactic holds broad prospects for the practical application of Li metal anodes.

关键词： perfluoroalkyl-functionalized covalent organic framework(COF-F6) artificial solid electrolyte interface strong electronwithdrawing effect dendrite-free lithium metal anode

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