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| 1 | “第8届国际混凝土路面砖会议”论文精选 论透水铺路材料对污染物的滞留和生物降解功能显示文摘事实证明透水型路面砖及铺设系统(在本文中,所指透水路面砖可相互替换)能够有效地“捕集”和降解雨水中所含的城市污染物,例如:碳氢化合物和金属元素。英国的Formpave公司和Coventry大学经过5年试验证明:加在试验所用溶液的中矿物油,98.7%能被滞留在路面铺设材料的结构中;被滞留的油污经多样性的生物降解作用,六个月的降解量约为滞留量的45%。这种路面铺设系统成功的关键是:铺设于基层下面的土工织物薄膜。这种土工织物的物理和化学性能可降低水的流动速度,使污染物停止流动,为降解油污的微生物生长提供了适宜的环境。透水型路面砖已在世界各地广泛应用,在英国,它正在为从源头控制污染物和推动建立可持续发展的生态环保城市道路排水体系,做出重大贡献。 | A.P.Newman S.J. Coupe K.Robinson 崔玉忠(译) 刘黎(校) 杜建东(校) | 2007 | 建筑砌块与砌块建筑2007，，4： | 2 |
| 2 | The structure of mixed-species bird flocks,and their response to anthropogenic disturbance,with special reference to East Asia显示文摘Mixed-species flocks of birds are distributed world-wide and can be especially dominant in temperate forests during the non-breeding season and in tropical rainforests year-round.We review from a community ecology perspective what is known about the structure and organization of flocks,emphasizing that flocking species tend to be those particularly vulnerable to predation,and flocks tend to be led by species that are able to act as sources of information about predators for other species.Studies on how flocks respond to fragmentation and land-use intensification continue to accumulate,but the question of whether the flock phenomenon makes species more vulnerable to anthropogenic change remains unclear.We review the literature on flocks in East Asia and demonstrate there is a good foundation of knowledge on which to build.We then outline potentially fruitful future directions,focusing on studies that can investigate how dependent species are on each other in flocks,and how such interdependencies might affect avian habitat selection in the different types of human-modified environments of this region. | Eben Goodale Ping Ding Xiaohu Liu Ari Martínez Xingfeng Si Mitch Walters Scott K.Robinson | 2015 | Chinese Birds2015，，3： | 2 |
| 3 | Environmental sampling of volatile organic compounds during the 2018 Camp Fire in Northern California显示文摘Trace analysis of volatile organic compounds(VOCs) during wildfires is imperative for environmental and health risk assessment. The use of gas sampling devices mounted on unmanned aerial vehicles(UAVs) to chemically sample air during wildfires is of great interest because these devices move freely about their environment, allowing for more representative air samples and the ability to sample areas dangerous or unreachable by humans. This work presents chemical data from air samples obtained in Davis, CA during the most destructive wildfire in California's history-the 2018 Camp Fire – as well as the deployment of our sampling device during a controlled experimental fire while fixed to a UAV. The sampling mechanism was an in-house manufactured micro-gas preconcentrator(μPC) embedded onto a compact battery-operated sampler that was returned to the laboratory for chemical analysis. Compounds commonly observed in wildfires were detected during the Camp Fire using gas chromatography mass spectrometry(GC–MS), including BTEX(benzene, toluene, ethylbenzene, m + p-xylene, and o-xylene), benzaldehyde, 1,4-dichlorobenzene, naphthalene, 1,2,3-trimethylbenzene and 1-ethyl-3-methylbenzene. Concentrations of BTEX were calculated and we observed that benzene and toluene were highest with average concentrations of 4.7 and 15.1 μg/m^(3), respectively. Numerous fire-related compounds including BTEX and aldehydes such as octanal and nonanal were detected upon experimental fire ignition, even at a much smaller sampling time compared to samples taken during the Camp Fire. Analysis of the air samples taken both stationary during the Camp Fire and mobile during an experimental fire show the successful operation of our sampler in a fire environment. | Leslie A.Simms Eva Borras Bradley S.Chew Bruno Matsui Mitchell M.McCartney Stephen K.Robinson Nicholas Kenyon Cristina E.Davis | 2021 | Journal of Environmental Sciences2021，33，5： | 1 |
| 4 | Degradation and mineralization of 2-chloro-, 3-chloro- and 4-chlorobiphenyl by a newly characterized natural bacterial strain isolated from an electrical transformer fluid-contaminated soil显示文摘A bacterium classified as Achromobacter xylosoxidans strain IR08 by phenotypic typing coupled with 16S rRNA gene analysis was isolated from a soil contaminated with electrical transformer ?uid for over sixty years using Aroclor 1221 as an enrichment substrate. The substrate utilization profiles revealed that IR08 could grow on all three monochlorobiphenyls (CBs), 2,4'- and 4,4'-dichlorobiphenyl as well as 2-chlorobenzoate (2-CBA), 3-CBA, 4-CBA, and 2,3-dichlorobenzoate. Unusually, growth was poorly sustaine... | Matthew O.Ilori Gary K.Robinson Sunday A.Adebusoye | 2008 | Journal of Environmental Sciences2008，20，10： | 1 |
| 5 | Three-dimensional coherent X-ray diffraction imaging via deep convolutional neural networks显示文摘As a critical component of coherent X-ray diffraction imaging(CDI),phase retrieval has been extensively applied in X-ray structural science to recover the 3D morphological information inside measured particles.Despite meeting all the oversampling requirements of Sayre and Shannon,current phase retrieval approaches still have trouble achieving a unique inversion of experimental data in the presence of noise.Here,we propose to overcome this limitation by incorporating a 3D Machine Learning(ML)model combining(optional)supervised learning with transfer learning.The trained ML model can rapidly provide an immediate result with high accuracy which could benefit real-time experiments,and the predicted result can be further refined with transfer learning.More significantly,the proposed ML model can be used without any prior training to learn the missing phases of an image based on minimization of an appropriate‘loss function’alone.We demonstrate significantly improved performance with experimental Bragg CDI data over traditional iterative phase retrieval algorithms. | Longlong Wu Shinjae Yoo Ana F.Suzana Tadesse A.Assefa Jiecheng Diao Ross J.Harder Wonsuk Cha Ian K.Robinson | 2021 | npj Computational Materials2021，，1： | 1 |
| 6 | Hyporheic Zone Flow Disruption from Channel Linings: Implications for the Hydrology and Geochemistry of an Urban Stream, St. Louis, Missouri, USA显示文摘Cement channel linings in an urban stream in St. Louis, Missouri increase event water contributions during flooding, shorten transport times, and magnify geochemical variability on both short and seasonal timescales due to disruption of hyporheic flowpaths. Detailed analyses of water isotopes, major and trace elements, and in situ water quality data for an individual flood event reveal that baseflow contributions rise by 8% only 320 m downstream of the point where this particular channel changes from cement-lined to unlined. However, additional hydrograph separations indicate baseflow contributions are variable and can be much higher(average baseflow increase is 16%). Stream electrical conductivity(EC) and solute concentrations in the lined reach were up to 25% lower during peak flow than in the unlined channel, indicating a greater event flow fraction. In contrast, during low flow, stream EC and solute concentrations in the lined reach were up to 30% higher due to the restricted inflow of more dilute groundwater. Over longer timescales, EC, solute concentrations, turbidity, and bacterial loads decrease downstream signifying increasing contributions of dilute baseflow. The decreased connectivity of surface waters and groundwaters along the hyporheic zone in lined channels increases the hydrologic and geochemical variability of urban streams. | elizabeth a.hasenmueller heather k.robinson | 2016 | Journal of Earth Science2016，27，1： | 0 |
| 7 | Resolution-enhanced X-ray fluorescence microscopy via deep residual networks显示文摘Multimodal hard X-ray scanning probe microscopy has been extensively used to study functional materials providing multiple contrast mechanisms.For instance,combining ptychography with X-ray fluorescence(XRF)microscopy reveals structural and chemical properties simultaneously.While ptychography can achieve diffraction-limited spatial resolution,the resolution of XRF is limited by the X-ray probe size.Here,we develop a machine learning(ML)model to overcome this problem by decoupling the impact of the X-ray probe from the XRF signal.The enhanced spatial resolution was observed for both simulated and experimental XRF data,showing superior performance over the state-of-the-art scanning XRF method with different nano-sized X-ray probes.Enhanced spatial resolutions were also observed for the accompanying XRF tomography reconstructions.Using this probe profile deconvolution with the proposed ML solution to enhance the spatial resolution of XRF microscopy will be broadly applicable across both functional materials and biological imaging with XRF and other related application areas. | Longlong Wu Seongmin Bak Youngho Shin Yong S.Chu Shinjae Yoo Ian K.Robinson Xiaojing Huang | 2023 | npj Computational Materials2023，，1： | 0 |
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