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您的检索式：作者名="Shenle PAN"
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| 1 | Spatial and temporal variations of two cyanobacteria in the mesotrophic Miyun reservoir, China显示文摘Spatial variations in phytoplankton community within a large mesotrophic reservoir(Miyun reservoir, North China) were investigated in relation to variations in physico-chemical properties, nutrient concentrations, temperature and light conditions over a 5 month period in 2009. The dynamics of phytoplankton community was represented by the dominance of cyanobacteria through summer and fall, following with a short term dominance of chlorophyta in late fall, and a relatively high abundance of diatom in October; on the other hand, maximum phytoplankton biomass was recorded in the north shallow region of Miyun reservoir with a higher nutrients level. Particular attention was paid to the impacts of environmental conditions on the growth of two cyanobacteria genera, the toxin-producing Microcystis and the taste & odor-producing Oscillatoria. Microcystis biomass was in general greatly affected by water temperature and mixing depth/local water depth ratio in this reservoir, while the Oscillatoria biomass in the surface and middle layers was greatly affected by total dissolved phosphorus, and that in the bottom layer was related with the Secchi depth/local water depth ratio. Abundant Oscillatoria biomass was observed only in late September when Microcystis biomass decreased and allowed sufficient light go through. | Ming Su Jianwei Yu Shenling Pan Wei An Min Yang | 2014 | Journal of Environmental Sciences2014，26，2： | 9 |
| 2 | The reduction of greenhouse gas emissions from freight transport by pooling supply chains显示文摘 | Shenle Pan EricBallot Frederic Fontane | 2010 | Production Economics2010，10，： | 1 |
| 3 | Cloning and Expression of the Serine Carboxypeptidase Gene in Zea mays and Its Antifungal Activity against Rhizoctonia solani显示文摘 | Li Liu Xiujing He Zhiming Zhang Maojun Zhao Jing Wang Haijian Lin Ya'ou Shenl Guangtang Pan | 2013 | Journal of Life Sciences2013，7，2： | 0 |
| 4 | Citywide package deliveries via crowdshipping:minimizing the efforts from crowdsourcers显示文摘Most current crowdsourced logistics aim to minimize systems cost and maximize delivery capacity,but the efforts of crowdsourcers such as drivers are almost ignored.In the delivery process,drivers usually need to take long-distance detours in hitchhiking rides based package deliveries.In this paper,we propose an approach that integrates offline trajectory data mining and online route-and-schedule optimization in the hitchhiking ride scenario to find optimal delivery routes for packages and drivers.Specifically,we propose a two-phase framework for the delivery route planning and scheduling.In the first phase,the historical trajectory data are mined offline to build the package transport network.In the second phase,we model the delivery route planning and package-taxi matching as an integer linear programming problem and solve it with the Gurobi optimizer.After that,taxis are scheduled to deliver packages with optimal delivery paths via a newly designed scheduling strategy.We evaluate our approach with the realworld datasets;the results show that our proposed approach can complete citywide package deliveries with a high success rate and low extra efforts of taxi drivers. | Sijing CHENG Chao CHEN Shenle PAN Hongyu HUANG Wei ZHANG Yuming FENG | 2022 | Frontiers of Computer Science2022，16，5： | 0 |
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