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| 1 | Development and performance evaluation of the electric-hydraulic concave clearance control system based on maize feed rate mon显示文摘Complex field environments,diverse crop conditions,and varying feed rate fluctuations commonly result in a decline in the threshing performance and the clogging of the threshing cylinder for maize harvesters.In order to overcome these problems,an electric-hydraulic concave clearance automatic control system for the threshing unit was developed based on the maize feed rate monitoring,which can automatically realize the best match between the concave clearance and diverse feed rates during harvesting.The threshing performance of the electric-hydraulic control system was evaluated for varying and uneven maize feed rate fluctuations,such as the feed rate increased(6-8-10 kg/s),the feed rate decreased after an increase(6-10-8 kg/s,8-10-6 kg/s),the feed rate increased after a decrease(8-6-10 kg/s,10-6-8 kg/s),and the feed rate decreased(10-8-6 kg/s).In particular,the threshing rotor shaft peak torque,the range of threshing rotor shaft torque,the rate of broken grains(BGR),and the rate of unthreshed grains(UGR)with and without the electric-hydraulic control system were tested.Treatments with the electric-hydraulic control system were adjustable concave clearance with the value of 45 mm,50 mm,and 55 mm.Treatments without the electric-hydraulic control system were constant concave clearance(50 mm).Results demonstrate that the threshing unit with the electric-hydraulic control system outperformed the one without the electric-hydraulic control system,with threshing rotor peak torque,the range of threshing rotor axis torque,the BGR,and the UGR decreasing by 18.38%,38.27%,2.08%,and 0.10%,respectively.Moreover,the rate of broken grains was lower than 5.00%,better than the national standard.Thus,the feed rate fluctuations and timely adjustment of the concave clearance were able to avoid blocking the rotor and improve the threshing performance compared to the constant concave clearance. | Chenlong Fan Dongxing Zhang Li Yang Tao Cui Xiantao He Huihui Zhao | 2022 | International Journal of Agricultural and Biological Engineering2022，15，2： | 1 |
| 2 | Self-Healing Microcapsule-Thickened Oil Barrier Coatings显示文摘Low-viscosity oils could potentially act as self-healing barrier coatings because they can readily fow and reconnect to heal minor damage.For the same reason,however,they typically do not form stable coatings on metal surfaces.Increasing viscosity helps to stabilize the oil coating,but it also slows down the healing process.Here,we report a strategy for creating highly stable oil coatings on metal surfaces without sacrifcing their remarkable self-healing properties.Low-viscosity oil flms can be immobilized on metal surfaces using lightweight microcapsules as thickeners,which form a dynamic network to prevent the creep of the coating.When the coating is scratched,oil around the opening can rapidly fow to cover the exposed area,reconnecting the particle network.Use of these coatings as anticorrosion barriers is demonstrated.Te coatings can be easily applied on metal surfaces,including those with complex geometries,both in air or under water,and remain stable even in turbulent water.Tey can protect metal in corrosive environments for extended periods of time and can self-heal repeatedly when scratched at the same spot.Such a strategy may ofer efective mitigation of the dangerous localized corrosion aggravated by minor imperfections or damage in protective coatings,which are typically hard to prevent or detect,but can drastically degrade metal properties. | Alane Tarianna OLim Chenlong Cui Hee Dong Jang Jiaxing Huang | 2019 | Research2019，，1： | 1 |
| 3 | Continuous measurement method and mathematical model for soil compactness显示文摘With the continuous improvement of agricultural mechanization,soil compaction becomes more and more serious.Serious soil compaction has been considered as an important negative factor affecting crop growth and yield.The measurement of soil compactness is a common method to measure the soil compaction level.In order to solve the problems of discontinuous sampling,time-consuming and poor real-time soil compactness measurement,a real-time measurement method of soil compactness based on fertilizing shovel was proposed,and the mathematical model between fertilizing shovel arm deformation and soil compactness was established.Based on the interaction mechanism between fertilizing shovel and soil,through the force analysis of fertilizing shovel,it was found that the deformation of fertilizing shovel arm was positively correlated with the sum of soil compactness(SSC)within the range of tillage depth.In order to verify the theoretical analysis results and the detection accuracy of strain gauge,the static bench test was carried out.The test results showed that the strain gauge signal for measuring the deformation of the fertilizing shovel arm was significantly correlated with the applied force.The fitting curve of the linear correlation coefficient was 0.999,the maximum detection error was 0.68 kg,and the detecting accuracy was within the tolerance of 0.57%.Through field orthogonal experiments with four working depths and four compaction levels,a mathematical model of the strain gauge signal and the SSC within the range of tillage depth was established.The experiment showed that compared with the other three depths,the linear correlation coefficient at the tillage depth of 5 cm(TD5)was the lowest,and the slope of the fitting curve was obviously different from the other three depths,so the 5 cm data were excluded when modeling.The model between mean signal value and mean SSC within the range of tillage depth was established based on the data of sampling points with tillage depths of 7.5 cm(TD7.5),10 cm(TD10),and 12.5 cm(TD12.5).The linear correlation coefficient(R^(2))of the model between mean signal value and mean SSC which eliminated 5 cm data was 0.980 and the root mean square error(RMSE)was 143.57 kPa.Compared with the linear model before averaging,the R^(2) was improved by 8.65%,and the RMSE was reduced by 52.39%.This system can realize the real-time and continuous measurement of soil compactness and provide data support for follow-up intelligent agricultural operations. | Huihui Zhao Tao Cui Li Yang Qingyan Hou Weijun Yan Xiantao He Chenlong Fan Jiaqi Dong Dongxing Zhang | 2022 | International Journal of Agricultural and Biological Engineering2022，15，5： | 0 |
| 4 | Continuous measurement method and mathematical model of soil 1 compactness based on the deformation of fertilizing shovel arm显示文摘Biographies:Huihui Zhao,PhD candidate,research interest:intelligent control for comn precision planters,Email:zhaohh0220@163.com.Dongxing Zhang,PhD,Professor,research interest:full mechanization of cor production,Email:zhangdx@cau.edu.cn.Li Yang.PhD,Professor,research interest:precision agriculture,Email:yangli@cau.edu.cn. | Huilhui Zhao Dongxing Zhang Li Yang Tao Cui Xiantao He Chenlong Fan Wentong Liu | 2022 | International Journal of Agricultural and Biological Engineering2022，15，4： | 0 |
| 5 | RSPSSL:A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization显示文摘Raman spectroscopy has tremendous potential for material analysis with its molecular fingerprinting capability in many branches of science and technology.It is also an emerging omics technique for metabolic profiling to shape precision medicine.However,precisely attributing vibration peaks coupled with specific environmental,instrumental,and specimen noise is problematic.Intelligent Raman spectral preprocessing to remove statistical bias noise and sample-related errors should provide a powerful tool for valuable information extraction.Here,we propose a novel Raman spectral preprocessing scheme based on self-supervised learning(RSPSSL)with high capacity and spectral fidelity.It can preprocess arbitrary Raman spectra without further training at a speed of~1900 spectra per second without human interference.The experimental data preprocessing trial demonstrated its excellent capacity and signal fidelity with an 88%reduction in root mean square error and a 60%reduction in infinite norm({L}_{{\infty}})compared to established techniques.With this advantage,it remarkably enhanced various biomedical applications with a 400%accuracy elevation(ΔAUC)in cancer diagnosis,an average 38%(few-shot)and 242%accuracy improvement in paraquat concentration prediction,and unsealed the chemical resolution of biomedical hyperspectral images,especially in the spectral fingerprint region.It precisely preprocessed various Raman spectra from different spectroscopy devices,laboratories,and diverse applications.This scheme will enable biomedical mechanism screening with the label-free volumetric molecular imaging tool on organism and disease metabolomics profiling with a scenario of high throughput,cross-device,various analyte complexity,and diverse applications. | Jiaqi Hu Gina Jinna Chen Chenlong Xue Pei Liang Yanqun Xiang Chuanlun Zhang Xiaokeng Chi Guoying Liu Yanfang Ye Dongyu Cui De Zhang Xiaojun yu Hong Dang Wen Zhang Junfan Chen Quan Tang Penglai Guo Ho-Pui Ho Yuchao Li Longqing Cong Perry Ping Shum | 2024 | Light(Science & Applications)2024，13，2： | 0 |
| 6 | Biomaterial-assisted photoimmunotherapy for synergistic suppression of cancer progression显示文摘Photoimmunotherapy is an emerging treatment modality that uses photothermal,photodynamic and photochemical processes to fight against cancer by eliciting a robust host immune response.Recently,various nanoformulations of biomaterials have been rationally designed as highly effective photosensitive agents,immunoadjuvants or carriers to enhance phototherapeutic efficacy,boost immune stimulation,amplify nano-permeability and monitor cancer progression in situ.Nevertheless,relying solely on a single-modality therapy may not completely ablate primary tumors,and the metastasis and recurrence of tumors remain a serious challenge.To solve this issue,the strategy of combining photoimmunotherapy with other immunotherapies,such as immune checkpoint blockade,chimeric antigen receptor-T cell or cytokine therapy,can greatly enhance the effectiveness of oncology treatment and reduce the traditional adverse effects.Thus,it is very valuable to summarize the research progress in biomaterial-assisted combination photoimmunotherapy for clinical translation.In this review,the recent advances in constructing multifunctional nano-biomaterials for combinatorial photoimmunotherapy of cancer are summarized.Furthermore,the opportunities,challenges,future trends and prospects in this field are also analyzed to pave the way for advancing the next generation of clinical cancer management strategies. | Yanan Li Jing Cui Chenlong Li Caiting Deng Guowei Deng Hui Zhang Feifei An | 2023 | Chinese Chemical Letters2023，34，9： | 0 |
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