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Analysis of Farmers' Needs for Forestry Information and Technology in Yunnan's Hot Zone: Based on Empirical Survey in Menglian County
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作者 hongfei shi Yanhui PEI +4 位作者 Fan ZHANG Wenzhong YANG Yongpeng LI Jianxin CAO Lei WANG 《Asian Agricultural Research》 2015年第2期53-55 61,61,共4页
Lack of public forestry information and techniques has restricted the development of forestry management and the income increase of rural farmers in hot region of Yunnan province. Therefore it is necessary to provide ... Lack of public forestry information and techniques has restricted the development of forestry management and the income increase of rural farmers in hot region of Yunnan province. Therefore it is necessary to provide forestry information and techniques to rural areas so as to compensate for the information gap between urban and rural areas. Based on the survey about farmer demand for information and technique in Menglian County,the paper analyzed the supply methods and demand characteristics of forestry information and techniques. The results showed that the farmers had very strong demands for forestry information and techniques with diversified trend. But the farmers got the information with backward method and single service supply approach,and it lacked effective expression mechanism for their demands. 展开更多
关键词 FORESTRY information and technology FOREST FARMERS
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TiO_(2) nanofiber-supported copper nanoparticle catalysts for highly efficient methane conversion to C1 oxygenates under mild conditions
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作者 Wencui Li Yu Ren +9 位作者 Zean Xie Yipeng Wang Hang Zhang Dianxiang Peng Hengfang Shen hongfei shi Jiaxin Cai Peng Wang Tongxin Zhang Zhen Zhao 《Nano Research》 SCIE EI CSCD 2024年第5期3844-3852,共9页
The selective oxidation of methane under mild conditions remains the“Holy Grail of Catalysis”.The key to activating methane and inhibiting over-oxidation of target oxygenates lies in designing active centers.Copper ... The selective oxidation of methane under mild conditions remains the“Holy Grail of Catalysis”.The key to activating methane and inhibiting over-oxidation of target oxygenates lies in designing active centers.Copper nanoparticles were loaded onto TiO_(2) nanofibers using the photo-deposition method.The resulting catalysts were found to effectively convert methane into C1 oxygenated products under mild conditions.Compared with previously reported catalysts,it delivers a superior performance of up to 2510.7 mmol·g_(Cu)^(-1)·h^(-1) productivity with a selectivity of around 100%at 80℃for 5 min.Microstructure characterizations and density functional theory(DFT)calculations indicate that TiO_(2) in the mixed phase of anatase and rutile significantly increases the Cu^(+)/CuO ratio of the supported Cu species,and this ratio is linearly related to the formation rate of oxygen-containing species.The CuI site promotes the generation of active O species from H_(2)O_(2) dissociation on Cu_(2)O(111).These active O species reduce the energy barrier for breaking the C-H bond of CH_(4),thus boosting the catalytic activity.The methane conversion mechanism was proposed as a methyl radical pathway to form CH_(3)OH and CH_(3)OOH,and then the generated CH_(3)OH is further oxidized to HOCH_(2)OOH. 展开更多
关键词 TiO_(2)nanofiber copper nanoparticles photo-deposition method methane oxidation C1 oxygenates
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基于机器学习鸟声识别算法研究进展 被引量:1
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作者 申小虎 朱翔宇 +1 位作者 史洪飞 王传之 《生物多样性》 CAS CSCD 北大核心 2023年第11期164-189,共26页
监测生态系统中鸟类多样性的状态和趋势是一项重大挑战,需要广泛适用的基于机器学习的鸟鸣识别算法。为准确把握基于机器学习的鸟声识别方法的研究现状与发展趋势,本文介绍了鸟鸣识别任务的基本概念,并从模型结构设计角度对基于机器学... 监测生态系统中鸟类多样性的状态和趋势是一项重大挑战,需要广泛适用的基于机器学习的鸟鸣识别算法。为准确把握基于机器学习的鸟声识别方法的研究现状与发展趋势,本文介绍了鸟鸣识别任务的基本概念,并从模型结构设计角度对基于机器学习的鸟鸣识别算法进行概述。鉴于基于机器学习的鸟鸣识别技术的跨学科性质,根据研究方向将算法分为:概率模型(probabilistic model)、模板匹配(template matching)、时序分析(time series analysis)、迁移学习(transfer learning)、数据融合(data fusion)、集成学习(ensemble learning)、度量学习(metric learning)和无监督聚类(unsupervised clustering)的鸟鸣识别算法。本文回顾了这些方法在完成鸟声识别任务时的技术脉络,以及这些算法的特点和局限性,并比较了它们在鸟鸣识别方面的有效性。本文还讨论了常用的标准化鸟声开源数据集和评估指标。最后,本文指出当前方法所面临的挑战和该领域潜在的未来研究方向。本综述旨在为从事鸟声识别研究的学者和开发人员提供一个全面的参考框架,以便更好地理解现有技术和潜在发展趋势。 展开更多
关键词 鸟声识别 机器学习 深度学习 鸟类多样性 鸟声数据集 评估指标
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Ni_(x)Co_(1-x)S as an effective noble metal-free cocatalyst for enhanced photocatalytic activity of g-C_(3)N_(4) 被引量:1
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作者 Yuting Gao Feng Chen +1 位作者 Zhe Chen hongfei shi 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2020年第21期227-235,共9页
Solar photocatalysis,as a method of green energy production and sustainable technology,has been regarded as one of the most effective strategies to resolve environmental issues and the current energy crisis.In this wo... Solar photocatalysis,as a method of green energy production and sustainable technology,has been regarded as one of the most effective strategies to resolve environmental issues and the current energy crisis.In this work,intimate contact hollow Ni_(x)Co_(1-x)S polyhedron/g-C3N4 nanosheet composites were prepared in-situ through a facile one-step hydrothermal method.The as-prepared Ni_(x)Co_(1-x)S/g-C_(3)N_(4) composites showed superior photocatalytic activity and high stability for H2 generation and methyl orange(MO)degradation under visible light irradiation.The optimized 4 wt.%Ni_(x)Co_(1-x)S/g-C_(3)N_(4) composite attained a maximum H2 evolution rate of 1420μmol g^–1 h^–1,which was about 157 times higher than that of pure g-C3N4.In addition,the Ni_(x)Co_(1-x)S/g-C_(3)N_(4) composite also exhibited greatly improved photocatalytic activity for dye degradation,which for MO was at 98.14%in 9 min.The outstanding photocatalytic performance was predominantly attributed to the unique architecture of hollow Ni_(x)Co_(1-x)S polyhedrons,which not only provided more active sites at the edges and surface as convenient charge transfer channels,but also promoted the separation and transport of electron-hole pairs.This work provides some novel ideas for the design and development of highly efficient noble metal-free cocatalyst/semiconductor systems for photocatalytic H2 generation and dye degradation. 展开更多
关键词 Non-noble metal cocatalyst Ni_(x)Co_(1-x)S g-C_(3)N_(4) Photocatalytic hydrogen production Dye degradation
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