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| 1 | Optogenetics in neuroscience:what we gain from studies in mammals显示文摘Optogenetics is a newly-introduced technology in the life sciences and is gaining increasing attention.It refers to the combination of optical technologies and genetic methods to control the activity of specific cell groups in living tissue,during which high-resolution spatial and temporal manipulation of cells is achieved.Optogenetics has been applied to numerous regions,including cerebral cortex,hippocampus,ventral tegmental area,nucleus accumbens,striatum,spinal cord,and retina,and has revealed new directions of research in neuroscience and the treatment of related diseases.Since optogenetic tools are controllable at high spatial and temporal resolution,we discuss its applications in these regions in detail and the recent understanding of higher brain functions,such as reward-seeking,learning and memory,and sleep.Further,the possibilities of improved utility of this newly-emerging technology are discussed.We intend to provide a paradigm of the latest advances in neuroscience using optogenetics. | Quanhui Chen Ziling Zeng Zhian Hu | 2012 | Neuroscience Bulletin2012，28，4： | 2 |
| 2 | Optimal charging plan for electric bus considering time-of-day electricity tariff显示文摘Purpose–The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day(TOD)electricity tariff,to reduce electricity bill.Design/methodology/approach–Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed,to minimize the electricity costs of daily operation of an electric bus.The charging time is taken as the optimization variable.The TOD electricity tariff is considered,and the energy consumption model is developed based on real operation data.An optimal charging plan provides charging times at bus idle times in operation hours during the whole day(charging time is 0 if the bus is not get charged at idle time)which ensure the regular operation of every trip served by this bus.Findings–The electricity costs of the bus route can be reduced by applying the optimal charging plans.Originality/value–This paper produces a viable option for transit agencies to reduce their operation costs. | Yuhan Liu Linhong Wang Ziling Zeng Yiming Bie | 2022 | Journal of Intelligent and Connected Vehicles2022，5，2： | 1 |
| 3 | A bi-level optimization framework for charging station design problem considering heterogeneous charging modes显示文摘Purpose–The purpose of this paper is to optimize the design of charging station deployed at the terminal station for electric transit,with explicit consideration of heterogenous charging modes.Design/methodology/approach–The authors proposed a bi-level model to optimize the decision-making at both tactical and operational levels simultaneously.Specifically,at the operational level(i.e.lower level),the service schedule and recharging plan of electric buses are optimized under specific design of charging station.The objective of lower-level model is to minimize total daily operational cost.This model is solved by a tailored column generation-based heuristic algorithm.At the tactical level(i.e.upper level),the design of charging station is optimized based upon the results obtained at the lower level.A tabu search algorithm is proposed subsequently to solve the upper-level model.Findings–This study conducted numerical cases to validate the applicability of the proposed model.Some managerial insights stemmed from numerical case studies are revealed and discussed,which can help transit agencies design charging station scientifically.Originality/value–The joint consideration of heterogeneous charging modes in charging station would further lower the operational cost of electric transit and speed up the market penetration of battery electric buses. | Le Zhang Ziling Zeng Kun Gao | 2022 | Journal of Intelligent and Connected Vehicles2022，5，1： | 0 |
| 4 | Trip energy consumption estimation for electric buses显示文摘This study aims to develop a trip energy consumption(TEC)estimation model for the electric bus(EB)fleet planning,operation,and life-cycle assessment.Leveraging the vast variations of temperature in Jilin Province,China,real-world data of 31 EBs operating in 14 months were collected with temperatures fluctuating from27.0 to 35.0℃.TEC of an EB was divided into two parts,which are the energy required by the traction and battery thermal management system,and the energy required by the air conditioner(AC)system operation,respectively.The former was regressed by a logarithmic linear model with ambient temperature,curb weight,travel distance,and trip travel time as contributing factors.The optimum working temperature and regression parameters were obtained by combining Fibonacci and Weighted Least Square.The latter was estimated by the operation time of the AC system in cooling mode or heating mode.Model evaluation and sensitivity analysis were conducted.The results show that:(i)the mean absolute percentage error(MAPE)of the proposed model is 12.108%;(ii)the estimation accuracy of the model has a probability of 99.7814% meeting the requirements of EB fleet scheduling;(iii)the MAPE has a 1.746% reduction if considering passengers’boarding and alighting. | Jinhua Ji Yiming Bie Ziling Zeng Linhong Wang | 2022 | Communications in Transportation Research2022，2，1： | 0 |
| 5 | Replacing urban trucks via ground-air cooperation显示文摘The advent of drones is leading to a paradigm shift in courier services,while their large-scale deployment is confined by a limited range.Here,we design a low-cost product that allows drones to drop parcels onto and pick them up from the roofs of moving passenger vehicles.With this,we propose a ground-air cooperation(GAC)based business model for parcel delivery in an urban environment.As per our case study using real-world data in Beijing,the new business model will not only shorten the parcel delivery time by 86.5% with a comparable cost,but also reduce road traffic by 8.6%,leading to an annual social benefit of 6.67 billion USD for Beijing.The proposed model utilizes the currently“wasted or unused”rooftops of passenger vehicles and has the potential to replace most parcel trucks and trailers,thus fundamentally addressing the congestion,noise,pollution,and road wear and tear problems caused by trucks,and bringing in immense social benefit. | Xiaobo Qu Ziling Zeng Kai Wang Shuaian Wang | 2022 | Communications in Transportation Research2022，2，1： | 0 |
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