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DAO媒介:驱动未来社会算法化与自组织的元媒介

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新疆师范大学学报（哲学社会科学版） 2025年第1期46卷 132-141页

作者：喻国明苏健威北京师范大学新闻传播学院北京师范大学传播创新与未来媒体实验平台北京100875

DAO媒介是以区块链算法等技术为基础,支持数字社群协同自治的媒介,具有区块链、智能合约与投票等功能特性和要素确权、技术信任、规则构架以及场景聚合等价值禀赋。对于数字生态显露的各种问题,“算法化”是重构数字生态、降解社会系统... 详细信息

DAO媒介是以区块链算法等技术为基础,支持数字社群协同自治的媒介,具有区块链、智能合约与投票等功能特性和要素确权、技术信任、规则构架以及场景聚合等价值禀赋。对于数字生态显露的各种问题,“算法化”是重构数字生态、降解社会系统复杂性的关键机制,DAO媒介是支撑“自组织式”算法化的元媒介。DAO媒介与数字文明时代喷发的微粒个体、微资源、微价值、微需求、微场景等相匹配,能够深度匹配人的个性与自我,形成有效的趣缘连接,进而极大地释放数字文明的生产力。DAO媒介将深刻影响社会系统的构造,将微粒个体与相关社会要素“包裹”为闭环子系统,支持其准开放的系统边界、有效的异质性整合、可持续的规则重构、子系统与父级系统的持续分化和快速进化,等等。在数字文明时代,DAO媒介将使“重新部落化”的“地球村”变为现实,其驱动构筑的DAO社会将更加多元、更加富有创造力,不断拓展人类群体实践的自由度,使人类在高度异质性聚合基础上更加和谐有序地整合协同。

关键词： DAO 数字媒介算法自组织社会系统

Properties of ten-year-aged argon oxygen decarburization stainless steel slag

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Journal of Iron and Steel Research International 2021年第10期28卷 1233-1242页

作者： Ya-jun Wang Ya-nan Zeng Jun-guo Li Yu-zhu Zhang wei Wang College of Metallurgy and Energy North China University of Science and TechnologyTangshan063210HebeiChina School of Metallurgy Northeastern UniversityShenyang110819LiaoningChina

The characteristics of argon oxygen decarburization slag(AODS)for smelting stainless steel that has been aged for 10 years were *** types of AODSs distributed at three positions in a slag heap were sampled for comparison *** analysis,mineral phase identification,thermogravimetric analysis,and micromorphology analysis were used to study the element migration trends and carbonation behavior of AODS after long-term *** leaching tests were performed to study the chromium leachability of the aged *** results show that during the long-term aging process,the AODS heap had undergone oxidation and carbonation,accompanied by element migration and mineralogical *** surface slag had the highest degree of carbonation but the weakest chromium *** chemical composition of the middle slag was the closest to that of the original *** the bottom steel slag,in addition to magnesium,certain depositions of other elements were *** matrix phases in the aged slag were dicalcium silicate and merwinite,and the chromium was mainly wrapped in these matrix phases in the form of oxides,spinels,or *** the combined effects of carbonation and oxidation,the leaching characteristics of the chromium in the aged slag varied greatly depending on the *** bottom slag had the strongest chromium leachability,and the hexavalent chromium had long-term continuous leachability.

关键词： Argon oxygen decarburization slag Aging Chromium Leaching Mineral phase

A Wind Tunnel Experimental Study on the Wake Characteristics of a Horizontal Axis Wind Turbine

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Journal of Thermal Science 2025年第1期 145-158页

作者： guo Xingduo LI Yinran LI Rennian MA Yulong wei Kui College of Energy and Power Engineering Lanzhou University of Technology Key Laboratory of Fluid Machinery and Systems Gansu Provincial Technology Centre for Wind Turbines

The characteristics of wind turbine wakes are influenced by multiple factors,including the atmospheric boundary layer(ABL) wind and wind turbine operating conditions(e.g.,tip speed ratio and yaw angle).In this study,two types of ABL winds with different velocity gradients and turbulence intensities are generated in a wind tunnel through configurations of spires,baffles,and various numbers of roughness elements.A wind turbine with a rotor diameter of 0.8 m and a hub height of 0.6 m is tested under varying tip speed ratios,yaw angles,and ABL wind *** results indicate that the streamwise velocity deficit in the near-wake region becomes more pronounced with an increase in the tip speed ratio,while the far-wake velocity deficit remains largely unaffected by changes in the tip speed *** the yaw angle increases,the wake deflection becomes more prominent and the wake narrows;the offset of the wake center at various downstream positions grows linearly,reaching a maximum value of approximately half the rotor ***,the turbulence level and influence range in the wake region are reduced when the turbine is *** ABL wind conditions,high turbulence intensity in the incoming flow accelerates wake recovery,and the Reynolds stress at different lateral positions tends to become consistent with increasing longitudinal ***,turbulence has a significant impact on the meandering characteristics of the wind turbine wake,with greater fluctuations in the wake center observed under higher turbulence ***,this study provides insights that could inform the optimal operation of wind farms.

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Theoretical Interpretation of Conformation Variations of Polydimethylsiloxane Induced by nanoparticles

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Chinese Journal of Polymer Science 2018年第4期36卷 505-513页

作者： Zhao-Yang wei nan-Ying Ning Ming Tian Li-Qun Zhang Jian-guo Mi State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical Technology Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology

There has been controversy as to whether the addition of nanoparticles to a polymer melt causes perturbed chain structure of polymers. In this work, the chain conformations of polydimethylsiloxane（PDMS） with addition of polyhedral oligomeric silsesquioxane（POSS） nanoparticles have been studied using a classical density functional approach. Under the strong interactions of POSS-PDMS, the radius of gyration of PDMS in the nanocomposites can either increase or decline depending on particle loading. After adding nanoparticles with larger size or weaker interactions, both the increasing and the declining amplitudes can be largely suppressed. The results provide a deep understanding of chain conformation in polymer nanocomposites.

关键词： Chain conformation Radius of gyration Polymer nanocomposites Density functional theory

Signal classification method based on data mining formulti-mode radar

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Journal of Systems Engineering and Electronics 2016年第5期27卷 1010-1017页

作者： qiang guo pulong nan jian wan College of Information and Communication Engineering Harbin Engineering University Harbin 150001 China

For the multi-mode radar working in the modern electronicbattlefield, different working states of one single radar areprone to being classified as multiple emitters when adoptingtraditional classification methods to process intercepted signals,which has a negative effect on signal classification. A classificationmethod based on spatial data mining is presented to address theabove challenge. Inspired by the idea of spatial data mining, theclassification method applies nuclear field to depicting the distributioninformation of pulse samples in feature space, and digs out thehidden cluster information by analyzing distribution *** addition, a membership-degree criterion to quantify the correlationamong all classes is established, which ensures classificationaccuracy of signal samples. Numerical experiments show that thepresented method can effectively prevent different working statesof multi-mode emitter from being classified as several emitters,and achieve higher classification accuracy.

关键词： multi-mode radar signal classification data mining,nuclear field cloud model membership.

Adaptive sliding mode control of petrochemical flare combustion process based on radial basis function network

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CHINESE JOURNAL OF CHEMICAL ENGINEERING 2024年第12期76卷 318-326页

作者： Liu, Jiahui guo, nan Peng, Yixin Li, Wenlu Qiao, Junfei Gao, Xiaolong Xiong, wei Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Beijing Lab Smart Environm Protect Beijing 100124 Peoples R China Minist Educ Engn Res Ctr Intelligent Percept & Autonomous Cont Beijing 100124 Peoples R China Baotou Reclaimed Water Resources & Sewage Treatmen Baotou 014000 Inner Mongolia Peoples R China Baotou Water Grp Baotou 014000 Inner Mongolia Peoples R China

Steam-assisted combustion elevated flares are currently the most widely used type of petrochemical flares. Due to the complex and variable composition of the waste gas they handle, the combustion environment is severely affected by meteorological conditions. Key process parameters such as intake composition, flow rate, and real-time data of post-combustion residues are difficult to measure or exhibit lag in data availability. As a result, the control methods for these flares are limited, leading to poor control effectiveness. To address this issue, this paper proposes an adaptive sliding mode control method based on the radial basis function (RBF) network. Firstly, the operational characteristics of the petrochemical flare combustion process are analyzed, and a control model for the combustion process is established based on carbon dioxide detection. Secondly, an RBF neural network-based unknown function approximator is designed to identify the nonlinear part of the actual operating system. Finally, by combining the control model of the petrochemical flare combustion and designing the RBF sliding mode controller with its adaptive control law, fast and stable control of the flare combustion state is achieved. Simulation results demonstrate that the designed control strategy can achieve tracking control of the petrochemical flare combustion state, and the adaptive law also accomplishes system identification. (c) 2024 The Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

关键词： Petrochemical torch combustion process Sliding mode control RBF neural network System identification Fast response

Advances in Graphene‑Based Electrode for Triboelectric nanogenerator

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nano-Micro Letters 2025年第1期17卷 378-403页

作者： Bin Xie Yuanhui guo Yun Chen Hao Zhang Jiawei Xiao Maoxiang Hou Huilong Liu Li Ma Xin Chen Chingping Wong State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangdong University of TechnologyGuangzhou 510006People’s Republic of China School of Electromechanical Engineering Guangdong University of TechnologyGuangzhou 510006People’s Republic of China School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332USA

With the continuous development of wearable electronics,wireless sensor networks and other micro-electronic devices,there is an increasingly urgent need for miniature,flexible and efficient nanopower generation *** nanogenerator(TENG)technology can convert small mechanical energy into electricity,which is expected to address this *** the core component of TENG,the choice of electrode materials significantly affects its *** metal electrode materials often suffer from problems such as durability,which limits the further application of ***,as a novel electrode material,shows excellent prospects for application in TENG owing to its unique structure and excellent electrical *** review systematically summarizes the recent research progress and application prospects of TENGs based on graphene *** precision processing methods of graphene electrodes are introduced,and the applications of graphene electrode-based TENGs in various scenarios as well as the enhancement of graphene electrodes for TENG performance are *** addition,the future development of graphene electrode-based TENGs is also prospectively discussed,aiming to promote the continuous advancement of graphene electrode-based TENGs.

关键词： Triboelectric nanogenerator Precision processing Graphene electrode Self-powered sensor

Buried interface bridging for inverted cesium-formamidinium triiodide perovskite solar cells with long operational stability

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Science China Chemistry 2025年第01期 163-173页

作者： Chenhui Zhang Chunjun Liang Fulin Sun Ting Zhu Xinghai Huang Yuzhu guo Xinyu guo Kunyang Ge Dan Li Fangtian You Zhiqun He Key Laboratory of Luminescence and Optical Information Ministry of Education Institute of Optoelectronic TechnologyBeijing Jiaotong University Department of Physics School of Physical Science and Engineering Beijing Jiaotong University

In the field of perovskite solar cells(PSCs), the research on defects in the buried interface has been relatively limited due to its non-exposure; however, this interface significantly impacts the performance enhancement of inverted PSCs. This study employs phenylethylammonium chloride(PEACl) molecules as a buffer layer to modify the buried interface of p-i-n structured PSCs,aiming to enhance the uniformity of self-assembled monolayers(SAMs) and facilitate the uniform nucleation and growth of perovskite films on the substrate. Furthermore, the introduction of the PEACl buffer layer effectively passivates defects at the bottom of the perovskite layer and notably enhances the crystal quality of the perovskite film by mitigating residual stress,thereby reducing nonradiative recombination loss. Following these optimizations, the MA-free PSCs treated with PEACl achieve a power conversion efficiency(PCE) of 24.11%, with significant improvements in storage, thermal stability, and operational stability. Particularly noteworthy is the device's performance in an unencapsulated state, whereas after 1,500 hours of continuous light operation stability testing, it retains 97% of its original efficiency. This study not only enriches the systematic understanding of the characteristics of the buried interface in PSCs but also contributes significantly to advancing the commercial production of perovskite photovoltaic technology.

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Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method

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International Journal of Minerals,Metallurgy and Materials 2017年第3期24卷 257-263页

作者： Min-nan Feng Yu-cong Wang Hao Wang guo-quan Liu wei-hua Xue School of Materials Science and Engineering University of Science and Technology Beijing Beijing 100083 China School of Information and Electronics Beijing Institute of Technology Beijing 100081 China Collaborative Innovation Center of Steel Technology University of Science and Technology Beijing Beijing 100083 China School of Materials Science and Engineering Liaoning Technical University Fuxin 123099 China

Using a total of 297 segmented sections, we reconstructed the three-dimensional (3D) structure of pure iron and obtained the largest dataset of 16254 3D complete grains reported to date. The mean values of equivalent sphere radius and face number of pure iron were observed to be consistent with those of Monte Carlo simulated grains, phase-field simulated grains, Ti-alloy grains, and Ni-based super alloy grains. In this work, by finding a balance between automatic methods and manual refinement, we developed an interactive segmentation method to segment serial sections accurately in the reconstruction of the 3D microstructure; this approach can save time as well as substantially eliminate errors. The segmentation process comprises four operations: image preprocessing, breakpoint detection based on mathematical morphology analysis, optimized automatic connection of the breakpoints, and manual refinement by artificial evaluation. © 2017, University of Science and Technology Beijing and Springer-Verlag Berlin Heidelberg.

关键词： Grain boundaries Image segmentation Iron Mathematical morphology Titanium alloys