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| 1 | Long-tailed object detection of kitchen waste with class-instance balanced detector显示文摘Intelligent detection and classification of kitchen waste can promote ecological sustainability by replacing inefficient manual processes.However,the presence of non-degradable waste mixed in kitchen waste often follows a long-tailed distribution,making it challenging to train convolutional neural network-based object detectors,which results in the unsatisfactory detection of tailclass waste.To address this challenge,we propose a class-instance balanced detector(CIB-Det) for intelligent detection and classification of kitchen waste.CIB-Det implements two strategies for the loss function:the class-balanced strategy(CBS)and the instance-balanced strategy(IBS).The CBS focuses more on tail classes,and the IBS concentrates on hard-to-classify instances adaptively during training.Consequently,CIB-Det comprehensively and adaptively addresses the long-tailed issue.Our experiments on a real dataset of kitchen waste images support the effectiveness of CIB-Det for kitchen waste detection. | FANG LeYuan TANG Qi OUYANG LiHan YU JunWu LIN JiaXing DING ShuaiYu TANG Lin | 2023 | Science China(Technological Sciences)2023，66，8： | 1 |
| 2 | LOSARTAN PREVENTS SEPSIS-INDUCED ACUTE LUNG INJURY AND DECREASES ACTIVATION OF NUCLEAR FACTORκB AND MITOGEN-ACTIVATED PROTEIN KINASES显示文摘 | Lihan Shen Hongying Mo Lin Cai Tianhan Kong Weihao Zheng Jihui Ye Junhua Qi Zhenglun Xiao | 2009 | Shock2009，，5： | 1 |
| 3 | Kidney function change after transcatheter aortic valve replacement in patients with diabetes and/or hypertension显示文摘Aortic stenosis(AS)is a progressive heart valve disease occurring predominantly in older patients.According to a survey in a western country,the prevalence of AS is nearly 6.4%in patients over 75 years old(Carabello and Paulus,2009).Transcatheter aortic valve replacement(TAVR)is an alternative method for AS patients.Previous studies have described how up to 66%of TAVR patients have concomitant baseline kidney dysfunction(Ferro et al.,2015;Gargiulo et al.,2015).The majority of patients can benefit from the TAVR procedure with the recovery of kidney function. | Jiaqi FAN Changjie YU Kaida REN Wanbing LIN Stella NG Zexin CHEN Xinping LIN Lihan WANG Qifeng ZHU Yuxin HE Jubo JIANG Xianbao LIU Jian'an WANG | 2021 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2021，22，3： | 1 |
| 4 | Detection and Discrimination of Tea Plant Stresses Based on Hyperspectral Imaging Technique at a Canopy Level显示文摘Tea plant stresses threaten the quality of tea seriously.The technology corresponding to the fast detection and differentiation of stresses is of great significance for plant protection in tea plantation.In recent years,hyperspectral imaging technology has shown great potential in detecting and differentiating plant diseases,pests and some other stresses at the leaf level.However,the lack of studies at canopy level hampers the detection of tea plant stresses at a larger scale.In this study,based on the canopy-level hyperspectral imaging data,the methods for identifying and differentiating the three commonly occurred tea stresses(i.e.,the tea leafhopper,anthrax and sun burn)were studied.To account for the complexity of the canopy scenario,a stepwise detecting strategy was proposed that includes the process of background removal,identification of damaged areas and discrimination of stresses.Firstly,combining the successive projection algorithm(SPA)spectral analysis and K-means cluster analysis,the background and overexposed non-plant regions were removed from the image.Then,a rigorous sensitivity analysis and optimization were performed on various forms of spectral features,which yielded optimal features for detecting damaged areas(i.e.,YSV,Area,GI,CARI and NBNDVI)and optimal features for stresses discrimination(i.e.,MCARI,CI,LCI,RARS,TCI and VOG).Based on this information,the models for identifying damaged areas and those models for discriminating different stresses were established using K-nearest neighbor(KNN),Random Forest(RF)and Fisher discriminant analysis.The identification model achieved an accuracy over 95%,and the discrimination model achieved an accuracy over 93%for all stresses.The results suggested the feasibility of stress detection and differentiation using canopy-level hyperspectral imaging techniques,and indicated the potential for its extension over large areas. | Lihan Cui Lijie Yan Xiaohu Zhao Lin Yuan Jing Jin Jingcheng Zhang | 2021 | Phyton-International Journal of Experimental Botany2021，90，2： | 0 |
| 5 | The marriage of sealant agent between structure transformable silk fibroin and traditional Chinese medicine for faster skin repair显示文摘Fast skin repair is critical for less infection, less pain and high quality of life, which is still limited with undesirable rehabilitation speed and side effects. Currently, laser-activated silk sealant agent without suture and gauze has been demonstrated promising for fast skin repair taking advantage of its structural transformation after heating. Nevertheless, more efficient healing effects and less side effects of laseractivated silk sealant agent remains challenging due to absence of suitable photo-thermal materials and robust/biomimetic protein materials. In this work, the marriage between silk protein and Rehmanniae radix preparata(a kind of the traditional Chinese herb) has been demonstrated as a novel and effective way to achieve an excellent healing effect for skin repair. The non-toxicity, high photothermal conversion efficiency and healing mechanism are systematically studied and proved. This new methodology might shed a new light for combining dark traditional Chinese medicine and silk fibroin for advanced wound healing technology. | Rongjun Zhang Youbin Zheng Tianqing Liu Ning Tang Lianzhi Mao Lihan Lin Jiahui Ye Luoyijun Xie Wenwen Hu Weiwei Wu Wenzhen Liao Miaomiao Yuan | 2022 | Chinese Chemical Letters2022，33，3： | 0 |
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