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| 1 | All-optical logic devices based on black arsenic-phosphorus with strong nonlinear optical response and high stability显示文摘The Kerr nonlinearity in two-dimensional(2D)nanomaterials is emerging as an appealing and intriguing research area due to their prominent light processing,modulation,and manipulation abilities.In this contribution,2D black arsenic-phosphorus(B-AsP)nanosheets(NSs)were applied in nonlinear photonic devices based on spatial self-phase modula-tion(SSPM)method.By applying the Kerr nonlinearity in 2D B-AsP,an all-optical phase-modulated system is proposed to realize the functions of“on”and“off”in all-optical switching.By using the same all-optical phase-modulated system,another optical logic gate is proposed,and the logical“or”function is obtained based on the 2D B-AsP NSs dispersions.Moreover,by using the SSPM method,a 2D B-AsP/SnS_(2) hybrid structure is fabricated,and the result illustrates that the hybrid structure possesses the ability of the unidirectional nonlinear excitation,which helps in obtaining the function of spatial asymmetric light propagation.This function is considered an important prerequisite for the realization of diode functionalization,which is believed to be a factor in important basis for the design of isolators as well.The initial investig-ations indicate that 2D B-AsP is applicable for designing optical logical devices,which can be considered as an import-ant development in all-optical information processing. | Leiming Wu Taojian Fan Songrui Wei Yijun Xu Ye Zhang Dingtao Ma Yiqing Shu Yuanjiang Xiang Jun Liu Jianqing Li Krassimir Panajotov Yuwen Qin Han Zhang | 2022 | Opto-Electronic Advances2022，5，1： | 3 |
| 2 | Detection of the support damage of spatial steel structures under earthquakes based on shaking table test显示文摘There are always some local damages in spatial steel structures induced by strong earthquakes, such as welding cracks of steel nodes,anchor loose of supports etc.If these local damages of spatial steel structures occur,there will be serious dangers to the structural safety.In order to detect the position of local damage under earthquake quickly and accurately,the method of support damage diagnosis of spatial steel structures under earthquakes is studied by using wavelet packet decomposition,data fusion a... | Shu Yao,~(a)) Jun Teng,~(b)) Yiqing Xiao,and Feng Xu Harbin Institute of Technology,Shenzhen Graduate School,Shenzhen 518055,China | 2011 | Theoretical & Applied Mechanics Letters2011，1，3： | 1 |
| 3 | Expert recommendations on collection and annotation of otoscopy images for intelligent medicine显示文摘Middle and outer ear diseases are common otological diseases worldwide.Otoscopy and otoendoscopy exami-nations are essential first steps in the evaluation of patients with otological diseases.Misdiagnosis often occurs when the doctor lacks experience in interpreting the results of otoscopy or otoendoscopy,leading to delays in treatment or complications.Using deep learning to process otoscopy images and developing otoscopic artificial-intelligence-based decision-making systems will become a significant trend in the future.However,the uneven quality of otoscopy images is among the major obstacles to development of such artificial intelligence systems,and no standardized process for data acquisition,and annotation of otoscopy images in intelligent medicine has yet been fully established.The standards for data storage and data management are unified with those of other specialties and are introduced in detail here.This expert recommendation criterion improved and standardized the collection and annotation procedures for otoscopy images and fills the current gap in otologic intelligent medicine;it would thus lay a solid foundation for the standardized collection,storage,and annotation of oto-scopy images and the application of training algorithms,and promote the development of automatic diagnosis and treatment for otological diseases.The full text introduced image collection(including patient preparation,equipment standards,and image storage),image annotation standards,and quality control. | Yuexin Cai Junbo Zeng Liping Lan Suijun Chen Yongkang Ou Linqi Zeng Qintai Yang Peng Li Yubin Chen Qi Li Hongzheng Zhang Fan Shu Guoping Chen Wenben Chen Yahan Yang Ruiyang Li Anqi Yan Haotian Lin Yiqing Zheng | 2022 | Intelligent Medicine2022，2，4： | 0 |
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