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Puerarin mediated miR-30b-5p targeting fibroblast activation protein against oral submucous fibrosis

BIOCELL 2024年第4期48卷 591-599页

作者： SAIFEI xie HUI xie JINCAI GUO JIN TAN YULIN YU MINYI ZHANG SHANG WEN Department of Periodontal Mucosa Hunan University of Chinese MedicineChangshaChina Department of Periodontal Mucosa Changsha Stomatology HospitalChangshaChina Department of Pharmacy Changsha Stomatology HospitalChangshaChina Department of Stomatology The First Hospital of Hunan University of Chinese MedicineChangshaChina

Background:Puerarin(Pue)has been reported to be a natural active ingredient with multiple antiﬁbrotic *** work aimed at exploring the function of Pue in oral submucousﬁbrosis(OSF)***:Human oral mucosaﬁbroblasts(hOMF)were induced with transforming growth factor beta1(TGF-β1)and intervened with *** ofﬁbrosis-related markers were analyzed by Western blot and IF *** viability was characterized by the CCK-8 *** of miR-30 family members were quantiﬁed by *** correlation betweenﬁbroblast activation protein(FAP)and miR-30 family expression was evaluated by the Pearson correlation coefﬁ*** prediction and dual-luciferase reporter assay were employed to verify the regulation between FAP and *** speciﬁc mechanism of Pue on OSF was explored through the promotion or inhibition of ***:After induction by TGF-β1,hOMF showed upregulated Collagen I,Collagen III,and FAP expressions,while miR-30 family expression was downregulated with miR-30b-5p being the most signiﬁ*** intervention inhibited the excessive proliferation of TGF-β1-induced hOMF,downregulated FAP,collagen type 3(COL3A1),collagen type 1(COL1A1),matrix metalloproteinase 1(MMP1),and matrix metalloproteinase 3(MMP3)expressions,and restored miR-30 family *** prediction and dual-luciferase reporter assay revealed that miR-30b-5p selectively inhibited FAP ***,miR-30b-5p mimic suppressed the excessive proliferation of TGF-β1-induced hOMF and declinedﬁbrosis *** intervention signiﬁcantly reversed the promotion of TGF-β1-induced OSF by miR-30b-5p ***:Pue mediated miR-30b-5p targeting FAP against OSF,which provided a theoretical basis for the pathogenesis research and Pue application in OSF.

关键词： Puerarin miR-30b-5p FAP Oral submucous fibrosis

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Learning Dual-Layer User Representation for Enhanced Item Recommendation

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Computers, Materials & Continua 2024年第7期80卷 949-971页

作者： Fuxi Zhu Jin xie Mohammed Alshahrani Applied Research Center of Artificial Intelligence Wuhan CollegeWuhan430212China College of Computer Science South-Central MINZU UniversityWuhan430074China Unmanned.Company Riyadh11564Saudi Arabia

User representation learning is crucial for capturing different user preferences,but it is also critical challenging because user intentions are latent and dispersed in complex and different patterns of user-generated data,and thus cannot be measured ***-based data models can learn user representations by mining latent semantics,which is beneficial to enhancing the semantic function of user ***,these technologies only extract common features in historical records and cannot represent changes in user ***,sequential feature can express the user’s interests and intentions that change time by *** the sequential recommendation results based on the user representation of the item lack the interpretability of preference *** address these issues,we propose in this paper a novel model with Dual-Layer User Representation,named DLUR,where the user’s intention is learned based on two different layer ***,the latent semantic layer adds an interactive layer based on Transformer to extract keywords and key sentences in the text and serve as a basis for *** sequence layer uses the Transformer model to encode the user’s preference intention to clarify changes in the user’s ***,this dual-layer user mode is more comprehensive than a single text mode or sequence mode and can effectually improve the performance of *** extensive experiments on five benchmark datasets demonstrate DLUR’s performance over state-of-the-art recommendation *** addition,DLUR’s ability to explain recommendation results is also demonstrated through some specific cases.

关键词： User representation latent semantic sequential feature interpretability

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Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines

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Energy and AI 2024年第2期16卷 289-305页

作者： Amirali Shateri Zhiyin Yang Jianfei xie School of Engineering University of DerbyDE223AWUK

This paper describes the utilization of artificial intelligence (AI) techniques to identify an optimal machine learning (ML) model for predicting dodecane fuel consumption in diesel combustion. The study incorporates sensitivity analysis to assess the impact levels of various parameters on fuel consumption, thereby highlighting the most influential factors. In addition, this study addresses the impact of noise and implements data cleaning techniques to ensure the reliability of the obtained results. To validate the accuracy of the predictions, the study performs several metrics and validation process, including comparisons with computational fluid dynamics (CFD) results and experimental data. Comprehensive comparisons are made among neural networks (NN), random forest regression (RFR), and Gaussian process regression (GPR) models, taking into account the complexity associated with fuel consumption predictions. The findings demonstrate that the GPR model outperforms the others in terms of accuracy, as evidenced by metrics such as mean absolute error (MAE), mean squared error (MSE), Pearson coefficient (PC), and R-squared (R2). The GPR model exhibits superior predictive ability, accurately detecting and predicting even individual data points that deviate from the overall trend. The significantly lower absolute error values also consistently indicate its higher accuracy compared with the NN and RFR models. Furthermore, the GPR model shows a remarkable speedup, approximately 1.7 times faster than traditional CFD solvers, and physically captures the momentum and thermal characteristics in a surface field prediction. Finally, the target optimization is assessed using the Euclidean distance as a fitness function, ensuring the reliability of predicted data.

关键词： AI evaluation Machine learning Diesel engine Fuel consumption Decarbonization

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Unlocking stability:Preserving activity of biomimetic catalysts with covalent organic framework cladding

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Chinese Chemical Letters 2024年第6期35卷 1-2页

作者： Ting Wang Xin Yu Yaqiang xie College of the Environment&Ecology Xiamen UniversityXiamen 361102China

Enzymes are extremely complicated biocatalysts in several industrial processes due to their numerous advantages over conventional catalysts,including lower physiological and environmental toxicity,exceptional selectivity,and milder reaction conditions[1].However,their widespread applications are constrained by the high production costs,low operational stability,and complexity involved in the recovery and reusability of enzymes[2].

关键词： stability catalysts exceptional

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Fault-Tolerant Dynamical Consensus of Double-Integrator Multi-Agent Systems in the Presence of Asynchronous Self-Sensing Function Failures

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Journal of Shanghai Jiaotong university(Science) 2024年第4期29卷 613-624页

作者： WU Zhihai xie Linbo Engineering Research Center of Internet of Things Technology Applications of the Ministry of Education School of Internet of Things EngineeringJiangnan UniversityWuxiJiangsu214122China

Double-integrator multi-agent systems(MASs)might not achieve dynamical consensus,even if only partial agents suffer from self-sensing function failures(SSFFs).SSFFs might be asynchronous in real engineering *** existing fault-tolerant dynamical consensus protocol suitable for synchronous SSFFs cannot be directly used to tackle fault-tolerant dynamical consensus of double-integrator MASs with partial agents subject to asynchronous *** by these facts,this paper explores a new fault-tolerant dynamical consensus protocol suitable for asynchronous ***,multi-hop communication together with the idea of treating asynchronous SSFFs as multiple piecewise synchronous SSFFs is used for recovering the connectivity of network topology among all normal ***,a fault-tolerant dynamical consensus protocol is designed for double-integrator MASs by utilizing the history information of an agent subject to SSFF for computing its own state information at the instants when its minimum-hop normal neighbor set ***,it is theoretically proved that if the strategy of network topology connectivity recovery and the fault-tolerant dynamical consensus protocol with proper time-varying gains are used simultaneously,double-integrator MASs with all normal agents and all agents subject to SSFFs can reach dynamical ***,comparison numerical simulations are given to illustrate the effectiveness of the theoretical results.

关键词： double-integrator multi-agent systems asynchronous self-sensing function failures fault-tolerant dynamical consensus network topology connectivity recovery

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The microscopic formation mechanism of O+H_(2) products from photodissociation of H_(2)O

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Chinese Journal of Structural Chemistry 2024年第5期43卷 11-13页

作者： Yubang Li Xixi Hu Daiqian xie Kuang Yaming Honors School Jiangsu Key Laboratory of Vehicle Emissions ControlNanjing UniversityNanjing210023China Institute of Theoretical and Computational Chemistry Key Laboratory of Mesoscopic ChemistrySchool of Chemistry and Chemical EngineeringNanjing UniversityNanjing210023China

Photodissociation dynamics of water involving its B electronic states yielding OH(A^(2)Σ+/X^(2)Π)+H(^(2)S)products has been intensively investi-gated by both experimental and theoretical studies[1].Theoretically,the Dobbyn-Knowles potential energy surfaces(DK PESs)[2]based on limited complete active space self-consistent field(CASSCF)points were used in dynamic studies for water photodissociation and O+H_(2)reaction about 20 years ago,but the accuracy is not enough to meet current re-quirements.

关键词： mechanism enough yielding

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Multi-Stage Multidisciplinary Design Optimization Method for Enhancing Complete Artillery Internal Ballistic Firing Performance

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 793-819页

作者： Jipeng xie Guolai Yang Liqun Wang Lei Li School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing210094China School of Intelligent Manufacturing Nanjing University of Science and Technology Zijin CollegeNanjing210023China

To enhance the comprehensive performance of artillery internal ballistics—encompassing power,accuracy,and service life—this study proposed a multi-stage multidisciplinary design optimization(MS-MDO)***,the comprehensive artillery internal ballistic dynamics(AIBD)model,based on propellant combustion,rotation band engraving,projectile axial motion,and rifling wear models,was established and *** model was systematically decomposed into subsystems from a system engineering *** study then detailed the MS-MDO methodology,which included Stage I(MDO stage)employing an improved collaborative optimization method for consistent design variables,and Stage II(Performance Optimization)focusing on the independent optimization of local design variables and performance *** methodology was applied to the AIBD *** demonstrated that the MS-MDO method in Stage I effectively reduced iteration and evaluation counts,thereby accelerating system-level ***,Stage II optimization markedly enhanced overall *** comprehensive evaluation results affirmed the effectiveness of the MS-MDO method.

关键词： Artillery internal ballistics dynamics multi-stage optimization multi-disciplinary design optimization collaborative optimization

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Hydrochemical characteristics and the ecological effect of algal carbonic anhydrase in carbon cycle in the Taiyuan section of Fenhe River

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Journal of Oceanology and Limnology 2024年第5期42卷 1507-1524页

作者： Jing YANG Xin LI Shulian xie Jia FENG Shanxi Key Laboratory of Yuncheng Salt Lake Ecological Protection and Resource Utilization College of Life SciencesYuncheng UniversityYuncheng 044000China School of Life Science Shanxi UniversityTaiyuan 030006China

Water scarcity and pollution pose a threat to the sustainable development of cities and ***,it is crucial to analyze the hydrochemical characteristics and carbon dynamics of waterdeficient *** the Taiyuan section of Fenhe River as the research object,we systematically explored the hydrochemical characteristics of surface water and its evolutionary processes,as well as the ecological effect of algal carbonic anhydrase in carbon cycle using the hydrochemical evolution method and correlation *** ternary diagram demonstrates that the main water chemical type in Fenhe River was SO^(2-)_(4)·Cl^(-)-Na^(+).The Gibbs and end-member diagrams of each ion display that the chemical composition of surface water was mainly controlled by silicate *** chemical ions originated mainly from dissolution of some minerals,such as plagioclase,halite,dolomite,calcite,and *** diatoms had a lower CO_(2)requirement because they exhibited a higher abundance at a lower partial pressure of CO_(2)(p CO_(2)).However,high CO_(2)concentration had a positive effect on cyanobacteria,which reduced the active transport of HCO_(3)^(-),saved the energy needed for this part of active transport,and indirectly improved the overall photosynthetic efficiency of *** anhydrase(CA)activity was significantly negatively correlated with p CO_(2)and positively correlated with HCO_(3)^(-)concentration,indicating that CA in water promoted the conversion of CO_(2)to HCO_(3)^(-).The HCO_(3)^(-)generated from this process continued to participate in the erosion of silicate rocks,sequestering CO_(2)in the form of Ca CO_(3),which has a non-negligible impact on the carbon sink in the Fenhe *** consequences may have important implications for the biogeochemical cycling occurring in urban water.

关键词： hydrochemistry inorganic carbon phytoplankton community carbonic anhydrase Fenhe River

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Facile synthesis of a novel P-doped carbon coated nickel phosphides nanorods as sodium storage anode materials

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Journal of Materiomics 2024年第2期10卷 408-415页

作者： Qiuchen He Yong Li Dianlong Wang Jingying xie School of Chemistry and Chemical Engineering Harbin Institute of TechnologyHarbin150001China State Key Laboratory of Space Power Sources Shanghai Institute of Space Power-SourcesShanghai200245China

Nickel-based phosphides as anode materials of sodium ion batteries have high capacity,but poor cycle stability and low electrical *** structural design for nickel-based phosphides with carbon provides a new way to address the above *** paper presents a simple method to synthesize a novel carbon coated Ni_(x)P(x=2.4-3.0,denoted as Ni_(x)P@PC)nanorods using phosphoric acid resin as phosphorus and carbon *** Ni_(x)P nanocrystals are in-situ generated in the P-doped carbon without further *** carbon layer can confine the volume changes during charging/discharging ***,the enriched P doping in the carbon layer greatly increases the electrical conductivity of the Ni_(x)P-based composite and provides more active sites for sodium *** as-obtained Ni_(x)P@PC nanorods reveal excellent reversible sodium storage performance(271.6 mA·h/g based on the mass of Ni_(x)P@PC at 0.1 A/g after 300 cycles)and outstanding cycling stability(0.005%capacity decay per cycle after 5000 cycles at 2 A/g).Meanwhile,the formation mechanism of Ni_(x)P@PC is evidenced by monitoring the evolution of morphology and structure during the preparing *** paper may provide a feasible way for constructing high-performance transitional metal compounds for sodium-ion batteries.

关键词： Nickel phosphide Ni_(x)P nanorods Sodium ion battery Cycling stability

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Artificial Immune Detection for Network Intrusion Data Based on Quantitative Matching Method

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Computers, Materials & Continua 2024年第2期78卷 2361-2389页

作者： CaiMing Liu Yan Zhang Zhihui Hu Chunming xie School of Electronic Information and Artificial Intelligence Leshan Normal UniversityLeshan614000China Intelligent Network Security Detection and Evaluation Laboratory Leshan Normal UniversityLeshan614000China Internet Natural Language Intelligent Processing Key Laboratory of Education Department of Sichuan Province Leshan Normal UniversityLeshan614000China

Artificial immune detection can be used to detect network intrusions in an adaptive approach and proper matching methods can improve the accuracy of immune detection *** paper proposes an artificial immune detection model for network intrusion data based on a quantitative matching *** proposed model defines the detection process by using network data and decimal values to express features and artificial immune mechanisms are simulated to define immune ***,to improve the accuracy of similarity calculation,a quantitative matching method is *** model uses mathematical methods to train and evolve immune elements,increasing the diversity of immune recognition and allowing for the successful detection of unknown *** proposed model’s objective is to accurately identify known intrusions and expand the identification of unknown intrusions through signature detection and immune detection,overcoming the disadvantages of traditional *** experiment results show that the proposed model can detect intrusions *** has a detection rate of more than 99.6%on average and a false alarm rate of 0.0264%.It outperforms existing immune intrusion detection methods in terms of comprehensive detection performance.

关键词： Immune detection network intrusion network data signature detection quantitative matching method

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