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Hydroxyl-and-carboxyl ligand concatenating multi-lanthanide substituted tellurotungstates and electrochemical detection of noradrenaline 被引量:1
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作者 Mengling liu Yan Zhang +4 位作者 Jun Jiang Dan Wang yanzhou li Junwei Zhao lijuan Chen 《Journal of Rare Earths》 SCIE EI CAS CSCD 2022年第11期1785-1793,I0005,共10页
Developing and exploring organic-inorganic hybrid multi-lanthanide(Ln)implanted heteropolyoxometalates(HPOMs)has bloomed into an emerging research fieId.In this article,two neoteric Dgluconic acids(H_(6)GA)concatenati... Developing and exploring organic-inorganic hybrid multi-lanthanide(Ln)implanted heteropolyoxometalates(HPOMs)has bloomed into an emerging research fieId.In this article,two neoteric Dgluconic acids(H_(6)GA)concatenating multi-Ln^(Ⅲ) implanted heteropoly tungstates K_(14)H_(10)[Ln_(4)(H_(2)O)_(4)W_(6)(H_(2)-GA)_(4) O_(12)(B-α-TeW_(9)O_(33))_(4)]·60 H_(2)O(Ln=La^(3+)(1),Pr^(3+)(2))were obtained in acidic aqueous system.Attractively,in the polyanion structure of 1 and 2,six WⅥand four LnⅢcenters are connected by four flexible H_(2)GA^(4-) ligands via carboxyl and hydroxyl groups,resulting in the heterometallic[Ln_(4)(H_(2)O)_(4)W_(6)H_(2)GA)_(4)O_(12)]^(8+)cluster and then the heterometallic cluster is surrounded by four[B-α-TeW_(9)O_(33)]^(8-)segments.Electrochemical measurements for the 1@CFMCN/GCE sensor(CFMCN=carboxylfunctionalized multiwalled carbon nanotube;GCE=glass carbon electrode)demonstrate that 1@CFMCN/GCE shows benign recognition response to detecting noradrenaline(NDA).This research expands the structural diversity of Ln-implanted HPOMs and presents an electrochemical platform of recognizing NDA in the field of biosensors. 展开更多
关键词 POLYOXOMETALATE Tellurotungstate LANTHANIDE Gluconic acid Electrochemical sensing Rare earths
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Audible noise evaluation for six-phase overhead lines transformed from existing three-phase double circuit infrastructures with uprated voltages 被引量:1
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作者 Qi li yanzhou li +3 位作者 Simon Rowland Jianlin Hu Ian Cotton Xingliang Jiang 《High Voltage》 SCIE EI 2022年第5期866-876,共11页
The drive to reduce carbon emissions and meet climate change targets set by governments worldwide has led to the growth of renewable energy sources and electric vehicles in recent years.Resulting intermittent generati... The drive to reduce carbon emissions and meet climate change targets set by governments worldwide has led to the growth of renewable energy sources and electric vehicles in recent years.Resulting intermittent generation and centralised demand require increased transmission capacities when operating associated power systems.Existing transmission lines are not capable of meeting planned needs.In many countries,obtaining a new right of way to build an overhead line(OHL)is increasingly difficult.There is therefore an urgent need to study techniques for transmission line uprating.Simply increasing voltages is not feasible because elevated surface potential gradient at conductor surfaces increases audible noise(AN)levels unacceptably.The feasibility of high phase order,especially six-phase,transmission techniques has been previously demonstrated,and it has been proved to be an effective way to uprate existing three-phase double circuit OHLs with increased voltages.This study analyses two typical overhead line structures,whose conductor surface potential gradient and AN level are calculated.The average and maximum surface potential gradient of the six-phase OHL are 18.5%and 18.6%lower than that of the three-phase ones.The AN of the six-phase single circuit OHL is predicted to be 6.33 and 6.45 dBA lower than that of the three-phase double circuit OHL after the voltage is increased by 45%and 50%for the lines considered.It is shown that six-phase OHLs can increase capacity by allowing elevating phase voltages without increasing acoustic noise levels. 展开更多
关键词 PHASE DOUBLE transformed
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Computer vision technology in agricultural automation--A review 被引量:23
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作者 Hongkun Tian Tianhai Wang +2 位作者 Yadong liu Xi Qiao yanzhou li 《Information Processing in Agriculture》 EI 2020年第1期1-19,共19页
Computer vision is a field that involves making a machine “see”.This technology uses a camera and computer instead of the human eye to identify,track and measure targets for further image processing.With the develop... Computer vision is a field that involves making a machine “see”.This technology uses a camera and computer instead of the human eye to identify,track and measure targets for further image processing.With the development of computer vision,such technology has been widely used in the field of agricultural automation and plays a key role in its development.This review systematically summarizes and analyzes the technologies and challenges over the past three years and explores future opportunities and prospects to form the latest reference for researchers.Through the analyses,it is found that the existing technology can help the development of agricultural automation for small field farming to achieve the advantages of low cost,high efficiency and high precision.However,there are still major challenges.First,the technology will continue to expand into new application areas in the future,and there will be more technological issues that need to be overcome.It is essential to build large-scale data sets.Second,with the rapid development of agricultural automation,the demand for professionals will continue to grow.Finally,the robust performance of related technologies in various complex environments will also face challenges.Through analysis and discussion,we believe that in the future,computer vision technology will be combined with intelligent technology such as deep learning technology,be applied to every aspect of agricultural production management based on large-scale datasets,be more widely used to solve the current agricultural problems,and better improve the economic,general and robust performance of agricultural automation systems,thus promoting the development of agricultural automation equipment and systems in a more intelligent direction. 展开更多
关键词 Computer vision Image processing Agricultural automation Intelligent detection
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具有高性能可见光探测功能的超稳定二维咪唑铜(Ⅰ)富勒烯配位聚合物材料
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作者 詹顺泽 李经鸿 +4 位作者 李艳周 徐刚 骆登峰 党丽 李丹 《Science China Materials》 SCIE EI CAS CSCD 2021年第6期1563-1569,共7页
本工作通过溶剂热法制备了一种超稳定二维层状铜(Ⅰ)富勒烯配位聚合物材料.Cu-(η^(2)-C_(60))配位作用和层间凹凸π…π相互作用支撑C_(60)分子排列形成倾斜六方面堆积((i-hfp))特点,显著地改善了材料的化学稳定性.该材料表现出高性能... 本工作通过溶剂热法制备了一种超稳定二维层状铜(Ⅰ)富勒烯配位聚合物材料.Cu-(η^(2)-C_(60))配位作用和层间凹凸π…π相互作用支撑C_(60)分子排列形成倾斜六方面堆积((i-hfp))特点,显著地改善了材料的化学稳定性.该材料表现出高性能可见光探测功能.密度泛函计算表明,与六方紧密堆积和立方堆积的C_(60)纳米材料类似,其优异的光探测功能主要来源于C_(60)分子本身,但是铜(I)的配位显著增强了其对可见光的吸收效率,改善了材料的可见光探测功能.该工作对于拓展富勒烯光电功能材料的种类具有重要意义. 展开更多
关键词 超稳定 富勒烯 密度泛函计算 光电功能材料 吸收效率 紧密堆积 可见光探测 配位聚合物
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