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Empowering rural revitalization in China with GAI: the application value, challenges, and optimization paths

COGENT FOOD & AGRICULTURE 2025年第1期11卷

作者： liu, xuwen Guangxi Univ Sch Marxism Daxue Dong Rd Nanning 530004 Guangxi Peoples R China

In the context of China's path to modernization, rural revitalization is facing a new landscape of "technology empowerment." Generative artificial intelligence (GAI), with its powerful text generation capabilities, continuous human-machine interaction mode, and versatility across multiple scenarios, can not only drive the comprehensive digital transformation of cities but also make significant contributions to rural revitalization. Although the application of GAI in rural revitalization has not yet become widespread, it is foreseeable that it will play a crucial role in rural revitalization across five dimensions: organizational revitalization, industrial revitalization, cultural revitalization, ecological revitalization, and talent revitalization. However, it should also be anticipated that the smooth operation of technology is influenced by external environments. Currently, the large digital divide between urban and rural areas, the insufficient integration of GAI with rural governance, and potential risks constitute practical obstacles that hinder GAI's empowerment of rural revitalization. Therefore, it is necessary to make preparations for its role in empowering rural revitalization by advancing the construction of software and hardware infrastructure, transforming the governance approach of grassroots governments, creating a favorable application atmosphere, and strengthening institutional guarantees.

关键词： GAI rural revitalization technical empowerment China's path to modernization sustainable development Artificial Intelligence Human Computer Intelligence Robotics Rural Development Sustainable Development

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Mechanistic insights into the selective photocatalytic degradation of dyes over TiO_(2)/ZSM-11

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Frontiers of Environmental Science & Engineering 2023年第8期17卷 127-136页

作者： Zhou Zhang Kai Huo Tingxuan Yan xuwen liu Maocong Hu Zhenhua Yao Xuguang liu Tao Ye Department of Chemical Engineering Jianghan UniversityWuhan 430056China College of Materials Science and Engineering Qingdao University of Science and TechnologyQingdao 266042China Department of Civil and Environmental Engineering South Dakota School of Mines and TechnologyRapid CitySD 57701USA State Key Laboratory of Precision Blasting Jianghan UniversityWuhan 430056China

Photocatalytic degradation is a promising way to eliminate dye *** this work,a series of TiO2/ZSM-11(TZ)nanocomposites were prepared using a facile solid state dispersion *** orange(MO),methylene blue(MB),and rhodamine B(RhB)were intentionally chosen as target substrates in the photocatalytic degradation *** to pristine TiO2,negative effect was observed on MO degradation while promoted kinetics were collected on MB and RhB over TZ ***,a much higher photocatalytic rate was interestingly achieved on RhB than MB,which indicated that a new factor has to be included other than the widely accepted electrostatic interaction mechanism to fully understand the selective photodegradation *** characterizations showed that TiO2 and ZSM-11 physically mixed and maintained both the whole framework and local structure without chemical *** different trends observed in surface area and the photo-absorption ability of TZ composites with reaction performance further excluded both as the promotion ***,adsorption energies predicted by molecular dynamics simulations suggested that differences in the adsorption strength played a critical *** work provided a deep mechanistic understanding of the selective photocatalytic degradation of dyes reactions,which helps to rationally design highly efficient photocatalysts.

关键词： Selective dye degradation Photocatalysis TiO2 ZSM-11 Chemisorption

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Effect of High-Temperature Annealing on Microstructure and Mechanical Properties of Extremely Deformed Fe35Ni35Cr20Mn10 High-Entropy Alloy Wire

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JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE 2025年第1期34卷 885-895页

作者： Shi, Mengchuan Liao, Hengcheng Zhou, Jun Li, Guangjing Cui, Zhan Yan, Tianrui liu, xuwen Southeast Univ Sch Mat Sci & Engn Jiangsu Key Lab Adv Met Mat Nanjing 211189 Peoples R China Jiangsu Univ Sci & Technol Sch Mat Sci & Engn Zhenjiang 212100 Peoples R China

Fe35Ni35Cr20Mn10 high-entropy alloy wire with a diameter of 0.45 mm, prepared by continuous cold-drawing from a rod with a diameter of 6.34 mm, was subjected to high-temperature annealing at 600, 700, 800, 900, and 1000 degrees C for 1 h. The microstructure and mechanical properties in different states were investigated by microscopy observations and tensile testing. The wire in the as-drawn state exhibited the highest strength but the lowest elongation because of its fine multilayer structure and high dislocation density. Annealing, particularly at higher temperatures, considerably reduced the yield strength and caused significant recovery in both the elongation and strain-hardening exponent. Increasing the annealing temperature significantly decreased the dislocation density, notably coarsened the recrystallized grains, and significantly increased the fraction of twin boundaries and mean widths of annealing twins. The yield strength was found to be positively related to the dislocation density, and the elongation exhibited a negative relationship. In addition to the decrease in dislocation density, the formation of annealing twins played an important role in enhancing the elongation.

关键词： cold drawing high-entropy alloy wire high-temperature annealing mechanical properties microstructure

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Pioneering Insights into the Reaction Kinetics of Metastable Intermolecular Composites Based on Metal Fluorides: Virtually non-existent condensed Phase Combustion Products and Ultra-Efficient Reactivity

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ADVANCED SCIENCE 2025年第14期12卷 e2415073页

作者： liu, xuwen Li, Jingwei Feng, Shenghua Jia, Yongsheng Hu, Maocong Yao, Yingkang Sun, Jinshan Xie, Quanmin Sang, Hongqian Jianghan Univ State Key Lab Precis Blasting Wuhan 430113 Peoples R China Jianghan Univ Hubei Key Lab Blasting Engn Wuhan 430056 Peoples R China Anhui Univ Sci & Technol Sch Chem & Blasting Engn Huainan 232001 Peoples R China Jianghan Univ Sch Optoelect Mat & Technol Wuhan 430056 Peoples R China

As a typical representative of Metastable intermolecular composites (MICs), the energy release of nano-thermites relying on aluminum-oxygen reaction is limited by the formation of high boiling point condensed phase products. Low pressure output performance constitutes another pivotal factor influencing their efficacy. In this work, metal fluorides BiF3 at different scales were incorporated into nano-thermites as oxidants, thereby facilitating the tunability of the released energy. The boiling points of all resultant reaction products fall below the combustion temperature, theoretically abolishing the agglomeration of condensed-phase products, thus preventing the entrapment of active metals. Additionally, it facilitates the smooth conduction of heat flux, thereby averting losses in biphasic flow dynamics. The n-Al/n-BiF3 system exhibits a significant amplification in reactive kinetic properties in stark contrast to the n-Al/n-Bi2O3 system. The reduction in ignition threshold is ascribed to a novel reaction kinetics mechanism within the n-Al/BiF3 system. The highly electronegative fluorine within BiF3 corrodes the Al2O3 shell, inducing a "pre-ignition" reaction. The application of Density Functional Theory (DFT) evaluations has further corroborated the n-Al/n-BiF3 system's preeminence in electron transfer capacity between the oxidizing agent and fuel, thereby furnishing an molecular-electronic basis for its potent reactive kinetic properties.

关键词： combustion mechanism metal fluorides metastable intermolecular composites nanostructured energetic materials pre-ignition reactions

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A Novel and High-Efficiency Approach to Improve the Sustainability of Agitation Leaching Technology to Refractory Copper Oxide Ore Using the Self-Pressurizing Technology

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JOURNAL OF SUSTAINABLE METALLURGY 2025年 1-17页

作者： Wang, Jian Zeng, Xin liu, xuwen Xu, Wenlong Pan, Yue Li, Jinhui Wang, Ruixiang Xiao, Yanfei Xu, Zhifeng Jiangxi Prov Key Lab Green & Low Carbon Met Strate Ganzhou 341000 Peoples R China Jiangxi Univ Sci & Technol Sch Met Engn 86 Hongqi Ave Ganzhou 341000 Peoples R China Ganzhou Engn Technol Res Ctr Green Met & Proc Inte Ganzhou 341000 Peoples R China Nanchang Univ Sch Phys & Mat Sci Nanchang 330031 Peoples R China Tibet Yulong Copper Co Ltd 22 West City Rd Chengdu 854000 Peoples R China Jiangxi Coll Appl Technol 9 Wenfeng Rd Ganzhou 341000 Peoples R China Minist Nat Resources Key Lab Ion Rare Earth Resources & Environm Ganzhou 341000 Peoples R China

Considering economics and environmental protection, the agitation leaching technology using sulfuric acid is considered a preferred alternative to recover copper oxide ores in the copper industry. However, this process is still extremely difficult to extract copper from some complex polymetallic and refractory oxide ores, such as copper oxide ores with high alkalinity gangues (HAG) and high binding rates (HBR), respectively. In this paper, a novel and high-efficiency extraction process involving agitation leaching with self-pressurizing technology at low temperatures is proposed to improve copper extraction of the refractory HAG and HBR copper oxide ores from Tibet. Under the self-pressurizing agitation leaching process, the effects of leaching parameters are investigated on copper extraction and other elements dissolution including aluminum, arsenic, and iron, respectively. The results show that the self-pressurizing leaching technology of complex copper oxide ores has some advantages, including relatively simple to apply, environmentally friendly, energy-saving, and high efficiency, especially the higher copper extraction (more than 98.0%) over the conventional agitation leaching process in the sulfuric acid media. Under optimum experimental conditions of mass ratio of copper oxide ores of 5:5, agitation speed of 400 rpm, initial sulfuric acid concentration of 4.0 mol/L, and leaching time of 60 min at 80 degrees C, the copper extraction reached 98.9%, while the maximum average pressure reached 1.31 MPa in the closed reaction vessel. The self-pressurizing leaching technology can significantly improve the adaptability of the conventional agitation leaching technology to the refractory copper oxide ore without adding the other reagent.

关键词： Self-driven pressurization Agitation leaching Copper oxide ores Low temperature

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Short-term photovoltaic power prediction based on VMD-SSA-LSTM

Short-term photovoltaic power prediction based on VMD-SSA-LS...

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2024 International Conference on Optoelectronic Information and Functional Materials, OIFM 2024

作者： Zhang, Tingyi Li, Shaowu Chen, Jinbiao liu, xuwen Guo, Weihao College of Intelligent Systems Science and Engineering Hubei Minzu University Enshi445000 China

ISBN: (纸本)9781510680517

Photovoltaic power prediction is crucial for maintaining the safe, stable operation, and economic benefits of the power grid. However, the long short-term memory (LSTM) neural network faces limitations in parameter selection, affecting its effectiveness in photovoltaic power prediction. Additionally, photovoltaic power data exhibits volatility and non-stationarity, leading to inaccurate predictions. To address these issues, this paper proposes a coupled model named VMD-SSA-LSTM, which combines variational mode decomposition (VMD), sparrow search algorithm (SSA), and LSTM. The model initially employs VMD to decompose photovoltaic power data, reducing the impact of volatility and non-stationarity on prediction results. Subsequently, SSA is used to optimize LSTM parameters. Finally, the predicted values from each sequence are summed to obtain the photovoltaic power prediction. Simulation experiments demonstrate the model's high adaptability in short-term photovoltaic power prediction. Compared to the LSTM model, the VMD-SSA-LSTM model exhibits superior performance in prediction accuracy, stability, and robustness. Therefore, this model provides an effective solution to enhance the accuracy of photovoltaic power prediction, contributing to the safety, stability, and economic efficiency of power grid operation. © 2024 SPIE.

关键词： Variational mode decomposition

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Photovoltaic MPPT control based on IJAYA algorithm

Photovoltaic MPPT control based on IJAYA algorithm

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2024 International Conference on Optoelectronic Information and Functional Materials, OIFM 2024

作者： Guo, Weihao Li, Shaowu Zhang, Tingyi Chen, Jinbiao liu, xuwen College Of Intelligent Systems Science and Engineering Hubei Minzu University Hubei Enshi445000 China

ISBN: (纸本)9781510680517

This paper introduces an MPPT control methodology utilizing the IJAVA algorithm. This approach merges the traditional JAVA algorithm with a Levy flight strategy, enabling the algorithm to evade local optima and conduct a comprehensive global search for the optimal solution., so that the algorithm can ensure the convergence speed and give attention to the convergence accuracy, further accelerate the tracking speed by optimizing the initialization position of the population, and reduce the voltage and power oscillation in the tracking process by adding out-of-bounds processing mechanism. Based on the modeling and simulation outcomes, the MPPT control utilizing the IJAVA algorithm demonstrates the capability to effectively and precisely trace the optimum power point in the presence of partial shading, as evidenced by the results. © 2024 SPIE.

关键词： Solar energy

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Preparation and properties of ceramic coated nitrogen-doped carbon coated SiOx anode materials for lithium-ion batteries

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APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING 2025年第5期131卷 1-7页

作者： Zhou, Zhengyang Wen, Lijun Jin, Chenxin Hong, Junjie liu, xuwen Xu, Guojun Sun, Fugen Li, Yong Zhou, Lang Yue, Zhihao Nanchang Univ Inst Photovolta Nanchang 330031 Peoples R China Jiangxi Prov Key Lab Solar Photovolta Nanchang 330031 Peoples R China NCU GQC Inst PV HE ES Technol Gongqing 332020 Peoples R China Nanchang Univ Sch Phys & Mat Sci Nanchang 330031 Peoples R China

Nitrogen doping and carbon coating were identified to be two effective ways to alleviate the problems of silicon raw materials in our previous work. Building upon the foundation of this, a ceramic coating technique is introduced to further enhance the physical and electrochemical characteristics of nitrogen-doped carbon-coated silicon monoxide (N-doped SiOx@C) materials. This study explores the application of alumina (Al2O3) and boehmite (AlOOH) powders as coating on the surface of N-doped SiOx@C materials to assess their effects. The outcomes demonstrate that AlOOH coating surpasses Al2O3 coating in terms of wettability and liquid absorption capacity, leading to a reduction in the contact angle from 28 degrees to 20 degrees. Following 100 cycles at a current density of 1.05 Ag-1, the capacity retention rate of AlOOH coated N-doped SiOx@C materials reaches 98.4%, whereas uncoated materials maintain a capacity retention rate of 91.4%. Notably, AlOOH coating significantly enhances the electrochemical performance of N-doped SiOx@C materials.

关键词： Ceramic coating Surface modification Silicon oxide materials Lithium ion batteries

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共同富裕目标下中国特色第三次分配:生成逻辑、作用机理及显著优势

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财经科学 2023年第2期 65-73页

作者：刘旭雯广西大学马克思主义学院

共同富裕作为社会主义的本质要求,是中国共产党百年来的不懈追求。中国特色第三次分配是实现共同富裕的重要路径。从生成逻辑上看,共同富裕目标下的中国特色第三次分配是对马克思主义财富观的继承、是对“先富后富”理论的有效衔接,并... 详细信息

共同富裕作为社会主义的本质要求,是中国共产党百年来的不懈追求。中国特色第三次分配是实现共同富裕的重要路径。从生成逻辑上看,共同富裕目标下的中国特色第三次分配是对马克思主义财富观的继承、是对“先富后富”理论的有效衔接,并成为推动共同富裕实现的重要力量。从作用机理上看,两者之间的内在耦合性表现在中国特色第三次在弥补分配不足中推动全民共富,在涵养向善文化中促进全面共富,在吸纳社会成员参与中助力共建共富,在不断促进社会公平中实现全程共富。从显著优势上看,共同富裕目标下的中国特色第三次分配的主导力量是中国共产党,根本宗旨是以人民为中心,最终目标是实现人的全面发展。

关键词：共同富裕中国特色第三次分配自愿行为分配制度显著优势

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Deep Reinforcement Learning Home Energy Management Based Local Energy Trading in a Blockchain Platform 9

Deep Reinforcement Learning Home Energy Management Based Loc...

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9th Asia Conference on Power and Electrical Engineering, ACPEE 2024

作者： Jiang, Yu Feng, Yingchun Fan, Jie Gao, Bo Wang, Yang liu, xuwen Jiangsu Electric Power Trading Center State Grid Jiangsu Electric Power Co. LTD Nanjing China

ISBN: (纸本)9798350309638

Decentralized peer-to-peer Local Energy Markets (LEMs) are gaining popularity as local power production from Renewable Energy Sources (RESs) increases. The study investigates a blockchain-driven LEM in which prosumers and consumers buy and sell energy independently of the involvement of a third party. The suggested scheme involves Home Energy Management (HEM) and demurrage mechanisms that enable both consumers and prosumers to reduce their power prices and improve their power usage. The end-user can likewise move the load to off-peak periods and benefit from lower energy costs from the LEM through the approach. In this solution, HEM and demurrage mechanisms are used to optimize power usage as well as energy costs. As well as providing adequate power for the LEM, it is economically beneficial for end users and the community. The proposed system in the study utilizes the Deep Deterministic Policy Gradient (DDPG) algorithm and demurrage mechanisms to optimize electricity usage and energy costs. Meanwhile, smart contract on the Ethereum blockchain regulate and safeguard the electricity trading process. © 2024 IEEE.

关键词： Blockchain

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