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| 1 | Structural design and parameter determination for fluted-roller fertilizer applicator显示文摘The instability of the motion layer of fertilizer particle influences the precision and the accuracy of the amount of fertilizer application in the working process of fluted-roller fertilizer applicator.The characteristics of the motion layer were investigated,and a systematic scheme was proposed for designing the structures of fertilizer-filling cavity,fertilizer-filling surface and fertilizer-delivery cavity.The key parameters of the structure were studied by discrete element method.It was figured out that to ensure the smooth operation of fertilizer applicator,the fertilizer-filling angle was 105°,fertilizer-contact angle should be large than 100°,and the fertilizer-resistance angle should be smaller than 35°.Moreover,the stability of fertilizer motion morphology was investigated to verify the design.The results showed that when the roll rotational speed was larger than 120 deg/s,compared with the conventional design the CV of the amount of fertilizer application was reduced from 1.5%-3.5%to 0.5%-1.0%,and the accuracy of the fertilizer discharge was improved with the square of the correlation coefficient between the amount of fertilizer application and the roll rotational speed was larger than 0.999.It was deduced from the results that the precision and accuracy of the amount of fertilizer application are improved via eliminating the driving layer and enhancing the stable filling and conveying of the forced layer. | Shan Zeng Yipeng Tan Yu Wang Xiwen Luo Lamei Yao Dengpan Huang Zewen Mo | 2020 | International Journal of Agricultural and Biological Engineering2020，13，2： | 4 |
| 2 | Switchable Kirigami Structures as Window Envelopes for Energy-Efficient Buildings显示文摘Efficient regulation of thermal radiation is an effective way to conserve energy consumption of buildings.Because windows are the least energy-efficient part of buildings,their thermal radiation regulation is highly demanded,especially in the changing environment,but is still a challenge.Here,by employing a kirigami structure,we design a variable-angle thermal reflector as a transparent envelope of windows for their thermal radiation modulation.The envelope can be easily switched between heating and cooling modes by loading different pre-stresses,which endow the envelope windows with the ability of temperature regulation,and the interior temperature of a building model can be reduced by~3.3°C under cooling mode and increased by~3.9°C under heating mode in the outdoor test.The improved thermal management of windows by the adaptive envelope provides an extra heating,ventilation,and air-conditioning energy savings percentage of 13%to 29%per year for buildings located in different climate zones around the world,making the kirigami envelope windows a promising way for energy-saving utilization. | Hanzhi Yin Xishu Zhou Zhengui Zhou Rong Liu Xiwei Mo Zewen Chen Erqi Yang Zhen Huang Hao Li Hao Wu Jun Zhou Yi Long Bin Hu | 2023 | Research2023，，4： | 0 |
| 3 | RepDDNet:a fast and accurate deforestation detection model with high-resolution remote sensing image显示文摘Forest is the largest carbon reservoir and carbon absorber on earth.Thus,mapping forest cover change accurately is of great significance to achieving the global carbon neutrality goal.Accurate forest change information could be acquired by deep learning methods using high-resolution remote sensing images.However,deforestation detection based on deep learning on a large-scale region with high-resolution images required huge computational resources.Therefore,there was an urgent need for a fast and accurate deforestation detection model.In this study,we proposed an interesting but effective re-parameterization deforestation detection model,named RepDDNet.Unlike other existing models designed for deforestation detection,the main feature of RepDDNet was its decoupling feature,which means that it allowed the multi-branch structure in the training stages to be converted into a plain structure in the inference stage,thus the computation efficiency can be significantly improved in the inference stage while maintaining the accuracy unchanged.A large-scale experiment was carried out in Ankang city with 2-meter high-resolution remote sensing images(the total area of it was over 20,000 square kilometers),and the result indicated that the model computation efficiency could be improved by nearly 30%compared with the model without re-parameterization.Additionally,compared with other lightweight models,RepDDNet also displayed a trade-off between accuracy and computation efficiency. | Zhipan Wang Zhongwu Wang Dongmei Yan Zewen Mo Hua Zhang Qingling Zhang | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 4 | Photothermal‑Triggered Structural Change of Nanofiber Scaffold Integrating with Graded Mineralization to Promote Tendon–Bone Healing显示文摘Scaffolds functionalized with graded changes in both fiber alignment and mineral content are more appealing for tendon-bone healing.This study reports the healing of rotator cuff injury using a heterogeneous nanofiber scaffold,which is associated with a structural gradating from aligned to random and an increasing gradient of mineral content in the same orientation.The photothermal-triggered structural change of a nanofiber scaffold followed by graded mineralization is key to constructing such scaffolds.This type of scaffold was found to be biocompatible and provide beneficial contact guidance in the manipulation of tendon-derived stem cell morphologies in vitro.Specifically,tenogenic and osteogenic differentiation of tendon-derived stem cells were simultaneously achieved using the fabricated scaffold.In vivo investigation also showed the improved healing of rabbit rotator cuff injuries based on immunohistochemical analysis and biomechanical investigation that indicates the promising potential of a dual-gradient nanofiber scaffold in clinical tendon-bone healing. | Chenghao Yu Tianrui Wang Hongcui Diao Na Liu Yi Zhang Hongyuan Jiang Peng Zhao Zhengyi Shan Zewen Sun Tong Wu Xiumei Mo Tengbo Yu | 2022 | Advanced Fiber Materials2022，4，4： | 0 |
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