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体认中性符号学——基于体认符号学与中性符号学的交叉研究

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外国语文 2025年第1期41卷 12-21页

作者：王铭玉康喆文广东外语外贸大学外国语学院广东广州510410 西安外国语大学俄语学院陕西西安710128

中性符号学崇尚大符号概念,消解了语符号与象符号的二元对立,为研究符号学的普遍现象提供了新的范式。广义的符号与主体感知、意义及生活世界相互交织,使得符号与认知产生深层次的关联。借鉴后现代体验人本观中“体认”的概念,本文尝试... 详细信息

中性符号学崇尚大符号概念,消解了语符号与象符号的二元对立,为研究符号学的普遍现象提供了新的范式。广义的符号与主体感知、意义及生活世界相互交织,使得符号与认知产生深层次的关联。借鉴后现代体验人本观中“体认”的概念,本文尝试提出体认中性符号学这一新兴交叉方向,并从认知生态位、空间区域位、社会建构位、文化叙事位视角阐释中性符号学的体认性,旨在从深度上探索中性符号的本体特征,完善“语象合治”的中性符号学理论,并从广度上推动符号学与认知科学的交叉融合,拓展东西对话、社会科学与自然科学互鉴的符号学模式。

关键词：体认中性符号学语象合治交叉研究

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我国文化数字化创新评价体系及实证研究

图书情报工作 2025年第3期69卷 14-24页

作者：钱明辉许嘉元王驰王名钰中国人民大学信息资源管理学院北京100872 中国人民大学科学研究处北京100872 中国科学院文献情报中心北京100190 中国人民大学智能信息分析研究中心北京100872

[目的/意义]构建文化数字化创新指数评价指标,评估和监测我国各省份文化数字化创新水平,为促进我国文化数字化深入发展提供参考。[方法/过程]采用专家打分法与熵权法相结合的形式,构建文化数字化创新指标体系,并结合专利数据和产业数据... 详细信息

[目的/意义]构建文化数字化创新指数评价指标,评估和监测我国各省份文化数字化创新水平,为促进我国文化数字化深入发展提供参考。[方法/过程]采用专家打分法与熵权法相结合的形式,构建文化数字化创新指标体系,并结合专利数据和产业数据对我国31个省的文化数字化创新水平进行实证分析。[结果/结论]实证结果表明,我国各省份文化数字化水平呈现不一致性,经济发达省份文化数字化创新程度较高,个别省份创新特色鲜明;文化数字化创新呈现区域分化、产业集群分化等特点;文化数字化创新水平与科技人才、知识产权布局等要素高度协同。为此,建议聚集国家文化数字化建设核心,有效保障数据文化资源的开放和共享;加强对各省、地区文化数字化创新的动态监测,鼓励文化资源充分挖掘;加快和深化文化数字化创新活动,重视对相关行业的人才的吸纳。

关键词：文化数字化创新能力技术活力服务潜力产业效益

基于内容偏好和情绪倾向的微博用户兴趣画像构建方法

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河北大学学报(自然科学版) 2025年第1期45卷 91-103页

作者：徐建民王铭宇河北大学网络空间安全与计算机学院河北保定071000

微博数据的爆炸式增长,使信息筛选变得越来越困难.构建合理的微博用户兴趣画像,有助于实现精准化服务,提高推荐性能.首先,利用LDA(latent Dirichlet allocation)模型从用户历史内容中挖掘用户的内容偏好特征,并通过情绪分析模型计算用... 详细信息

微博数据的爆炸式增长,使信息筛选变得越来越困难.构建合理的微博用户兴趣画像,有助于实现精准化服务,提高推荐性能.首先,利用LDA(latent Dirichlet allocation)模型从用户历史内容中挖掘用户的内容偏好特征,并通过情绪分析模型计算用户不同内容偏好对应的情绪倾向,得到包含内容偏好及其对应情绪倾向2个维度的用户兴趣画像;在基于用户兴趣画像进行微博推荐评估时,利用用户内容偏好进行初步筛选,比较待评估博文内容与用户的内容偏好是否匹配,若匹配则进一步通过情绪倾向进行过滤,比较同一内容偏好下的情绪相似度,选取高于阈值的博文加入推荐集.真实微博数据集的实验结果表明,与基于标签的推荐模型、基于情感关联规则的推荐模型和基于主题的推荐模型相比,本文微博推荐方法具有更好的性能,在F1值上分别提升了10%、6%和2%.

关键词：用户兴趣画像内容偏好情绪倾向微博推荐

300 MW机组混烧锅炉空气预热器密封改造

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冶金动力 2025年第1期 43-46页

作者：汪明宇孙玮首钢京唐钢铁联合有限责任公司河北唐山063200

某公司300 MW机组设计为煤-煤气混烧机组,锅炉因燃料配比变化造成排烟温度波动较大,导致空气预热器转子不同程度变形,密封间隙难以控制。为解决空气预热器长期漏风率超标而导致的锅炉效率降低和经济性不良等问题,提出了一种密封间隙自... 详细信息

某公司300 MW机组设计为煤-煤气混烧机组,锅炉因燃料配比变化造成排烟温度波动较大,导致空气预热器转子不同程度变形,密封间隙难以控制。为解决空气预热器长期漏风率超标而导致的锅炉效率降低和经济性不良等问题,提出了一种密封间隙自动控制系统。密封改造后,2台机组的空气预热器漏风率由14%降低至7%以下,满足设计要求,与现有密封改造技术相比,在密封效果、自动调节控制、安全可靠性等方面具有明显优势。

关键词： 300 MW煤-煤气混烧机组回转式空气预热器漏风率漏风自动控制系统

Assimilation of ASAR Data with a Hydrologic and Semi-empirical Backscattering Coupled Model to Estimate Soil Moisture

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Chinese Geographical Science 2010年第3期20卷 218-225页

作者： LIU Qian wang mingyu ZHAO Yingshi College of Resource and Environment Graduate University of the Chinese Academy of Sciences Beijing 100049 China

The most promising approach for studying soil moisture is the assimilation of observation data and computational modeling. However, there is much uncertainty in the assimilation process, which affects the assimilation results. This research developed a one-dimensional soil moisture assimilation scheme based on the Ensemble Kalman Filter (EnKF) and Genetic Algorithm (GA). A two-dimensional hydrologic model-Distributed Hydrology-Soil-Vegetation Model (DHSVM) was coupled with a semi-empirical backscattering model (Oh). The Advanced Synthetic Aperture Radar (ASAR) data were assimilated with this coupled model and the field observation data were used to validate this scheme in the soil moisture assimilation experiment. In order to improve the assimilation results, a cost function was set up based on the distance between the simulated backscattering coefficient from the coupled model and the observed backscattering coefficient from ASAR. The EnKF and GA were used to re-initialize and re-parameterize the simulation process, respectively. The assimilation results were compared with the free-run simulations from hydrologic model and the field observation data. The results obtained indicate that this assimilation scheme is practical and it can improve the accuracy of soil moisture estimation significantly.

关键词： Advanced Synthetic Aperture Radar (ASAR) Distributed Hydrology-Soil-Vegetation Model (DHSVM) Oh Model couple soil moisture data assimilation

Leaching of vanadium from stone coal with sulfuric acid

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Rare Metals 2009年第1期28卷 1-4页

作者： wang mingyu XIAO Liansheng LI Qinggang wang Xuewen XIANG Xiaoyan School of Metallurgical Science and Engineering Central South University Changsha 410083 China

The effects of roasting, mass ratio of H2SO4 to stone coal, leaching temperature, liquid-to-solid ratio, grinding fineness of stone coal, and two-stage counter-current leaching on the vanadium leaching ratio were studied. The results show that the vanadium leaching ratio of roasted stone coal through two-stage counter-current leaching can reach 65.1% at the mass ratio of H2SO4 to stone coal of 20%, leaching temperature of 95℃, leaching time of 30 h, liquid-to-solid ratio of 1.1 mL·g^-1, and grinding fineness of 0.1 mm, which can serve as an experimental basis for the production of vanadium from stone coal.

关键词： stone coal vanadium sulfuric acid leaching

Effect of vanadium occurrence state on the choice of extracting vanadium technology from stone coal

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Rare Metals 2008年第2期27卷 112-115页

作者： wang mingyu XIANG Xiaoyan ZHANG Liping XIAO Liansheng School of Metallurgical Science and Engineering Central South University Changsha 410083 China

The extraction technology of vanadium from stone coal by means of no-salt-roasting and dilute acid solution leaching treatment has the advantages of low pollution, low investment, as well as high vanadium leaching efficiency, which makes it the best technology for extending application. In the present study, the effects of vanadium occurrence state in stone coal, roasting temperature and additive agent on the leaching efficiency of vanadium were studied. The results indicate that the effect of vanadium occurrence state on the extracting vanadium technology is obvious. If the vanadium component in stone coal existed in amorphous phase form, this type of stone coal can be treated by no-slat-roasting and dilute acid solution leaching technology; while the vanadium-bearing crystalline phase existed in stone coal, the roasting additive must be added to destroy this crystalline form so as to acquire high vanadium leaching rate.

关键词： vanadium extraction roasting acid leaching stone coal

Solvent extraction of vanadium from sulfuric acid solution

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Rare Metals 2009年第3期28卷 209-211页

作者： wang mingyu ZHANG Guiqing wang Xuewen ZHANG Jialiang School of Metallurgical Science and Engineering Central South University Changsha 410083 China

The behaviour of vanadium（V） extracted from sulfuric acid solution was investigated using Cyanex 923 as an extractant. The effects of the concentration of Cyanex 923 and the pH of the solution were studied. The extraction of vanadium（V） increases with the increase of Cyanex 923 concentration and shaking time. Cyanex 923 can extract vanadium（V） from sulfuric acid solution at low pH conditions, and the best pH conditions for extraction of vanadium（V） are at pH 1.0-2.0. The species extracted into the organic phase is VO2HSO4 with one molecule of Cyanex 923. Equilibrium studies were used to assess the extraction efficiency of vanadium（V） recovery from the sulfuric acid solution.

关键词： solvent extraction vanadium(V) Cyanex 923 sulfuric acid solution

The impact of climate change on fire risk in Daxing'anling,China

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Journal of Forestry Research 2017年第5期28卷 997-1006页

作者： Xiaorui Tian Lifu Shu mingyu wang Fengjun Zhao The Research Institute of Forest Ecology Environment and ProtectionChinese Academy of ForestryState Forestry Administration's Key Open Laboratory of Forest Protection

Daxing’anling is a key region for forest fire prevention in China. Assessing changes in fire risk in the future under multiple climatic scenarios will contribute to our understanding of the influences of climate change for the region and provide a reference for applying adaptive measures for fire management. This study analyzed the changes in fire weather indices and the fire season under four climate scenarios (RCP2.6, RCP4.5, RCP6.0, RCP8.5) for 2021-2050 using data from five global climate models together with observation data. The results showed that the analog data could project the average state of the climate for a given period but were not effective for simulating extreme weather conditions. Compared with the baseline period (1971-2000), the period 2021-2050 was predicted to have an increase in average temperature of 2.02-2.65 °C and in annual precipitation 25.4-40.3 mm, while the fire weather index (FWI) was predicted to increase by 6.2-11.2% and seasonal severity rating (SSR) by 5.5-17.2%. The DMC (Duff moisture code), ISI (initial spread index), BUI (build-up index), FWI and SSR were predicted to increase significantly under scenarios RCP4.5, RCP6.0, and RCP8.5. Furthermore, days with high or higher fire danger rating were predicted to be prolonged by 3-6 days, with the change in the southern region being greater under scenarios RCP4.5, RCP6.0, and RCP8.5.

关键词： Climate change Fire danger Forest fire Fire season Fire weather indexes