|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Combined amendment reduces soil Cd availability and rice Cd accumulation in three consecutive rice planting seasons显示文摘The scientific application of stabilized materials has been considered an effective method for the in situ remediation of Cd-contaminated soil.This study aimed to investigate the persistence of the effect of a combined amendment of limestone and sepiolite(LS)on soil Cd availability and accumulation in rice grown in a mildly Cd-contaminated paddy field(0.45 mg/kg of Cd)over three consecutive rice seasons.1125–4500 kg/ha of LS was applied to the soil before the first rice planting season and 562.5–2250 kg/ha of LS was supplemented before the third rice planting season.The application of LS(1125–4500 kg/ha)increased the soil p H by 0.44–1.09,0.18–0.53,and 0.42–0.68 in the first,second,and third season,respectively,and decreased the soil acid-extractable Cd content by 18.2–36.4%,17.7–33.5%,and9.6–17.6%.LS application significantly decreased the Cd contents in the rice tissues.The application of 4500 kg/ha of LS decreased the Cd content in brown rice to below the National Food Limit Standard of 0.2 mg/kg(GB 2762-2017)in the three consecutive rice seasons.However,the effect of LS on the soil-rice system was significantly weakened in the third season.The supplementary application of 562.5–2250 kg/ha of LS further decreased the Cd content in brown rice by 26.1–56.5%and decreased the health risk index by 23.7–43.8%.Therefore,it was recommended to apply 4500 kg/ha of LS in the first season and to supplement2250 kg/ha of LS in the third season to effectively guarantee the clean production of rice in three consecutive rice seasons. | Wenjun Yang Shilong Wang Hang Zhou Min Zeng Jingyi Zhang Fang Huang Shiping Shan Zhaohui Guo Hongwei Yi Zhiguang Sun Jiaofeng Gu Bohan Liao | 2022 | Journal of Environmental Sciences2022，34，1： | 4 |
| 2 | Deep imitation reinforcement learning for self-driving by vision显示文摘Deep reinforcement learning has achieved some remarkable results in self-driving.There is quite a lot of work to do in the area of autonomous driving with high real-time requirements because of the inefficiency of reinforcement learning in exploring large continuous motion spaces.A deep imitation reinforcement learning(DIRL)framework is presented to leam control policies of self-driving vehicles,which is based on a deep deterministic policy gradient algorithm(DDPG)by vision.The DIRL framework comprises two components,the perception module and the conttol module,using imitation learning(IL)and DDPG,respectively;The perception module employs the IL network as an encoder which processes an image into a low-dimensional feature vector.This vector is then delivered to the control module which outputs control commands.Meanwhile,the actor network of the DDPG is initialized with the trained IL network to improve exploration efficiency.In addition,a reward function for reinforcement learning is defined to improve the stability of self-driving vehicles,especially on curves.DIRL is verified by the open racing car simulator(TORCS),and the results show that the correct control strategy is learned successfully and has less training time. | Qijie Zou Kang Xiong Qiang Fang Bohan Jiang | 2021 | CAAI Transactions on Intelligence Technology2021，6，4： | 1 |
| 3 | Regulated deficit irrigation:an effective way to solve the shortage of agricultural water for horticulture显示文摘The deficient agricultural water caused by water shortage is a crucial limiting factor of horticultural production.Among many agricultural water-saving technologies,regulated deficit irrigation(RDI)has been proven to be one of the effective technologies to improve water use efficiency and reduce water waste on the premise of maintaining the quality of agricultural products.RDI was first reported more than 40years ago,although it has been applied in some areas,little is known about understanding of the implementation method,scope of application and detailed mechanism of RDI,resulting in the failure to achieve the effect that RDI should have.This review refers to the research on RDI in different crops published in recent years,summarizes the definition,equipment condition,function,theory illumination,plant response and application in different crops of RDI,and looks forward to its prospect.We expect that this review will provide valuable guidance for researchers and producers concerned,and support the promotion of RDI in more horticultural crops. | Bohan Yang Peining Fu Jiang Lu Fengwang Ma Xiangyu Sun Yulin Fang | 2022 | Stress Biology2022，2，1： | 0 |
| 4 | The Coherent-Constructible Correspondence and Fourier-Mukai Transforms显示文摘在 birational 木头几何学作为为他的证据推测, Kawamata 构造了在环形圆纹曲面的 orbifolds 之间的导出的等价的一个家庭。在一份以前的报纸,作者证明环形圆纹曲面的 orbifold 的导出的范畴自然地上与 polyhedrally-constructible 绳轮的一个范畴被识别吗?n。在这份报纸,我们调查并且责骂一些从这个观点的 Kawamatas 结果。 | Bohan FANG Chiu-Chu Melissa LIU David TREUMANN Eric ZASLOW | 2011 | Acta Mathematica Sinica,English Series2011，27，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员