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eLight 2023年第1期3卷 156-168页

作者： Chenhao Wan Andy Chong Qiwen Zhan School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Optical and Electronic Information and Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074HubeiChina Department of Physics Pusan National UniversityGeumjeong-GuBusan 46241South Korea Zhangjiang Laboratory 100 Haike RoadShanghai 201204China Shanghai Key Lab of Modern Optical System University of Shanghai for Science and TechnologyShanghai 200093China

Spatiotemporal vortices of light,featuring transverse orbital angular momentum(OAM)and energy circulation in the spatiotemporal domain,have received increasing attention *** experimental realization of the controllable generation of spatiotemporal vortices triggers a series of research in this *** review article covers the latest developments of spatiotemporal vortices of light ranging from theoretical physics,experimental generation schemes,and characterization methods,to applications and future *** new degree of freedom in photonic OAM endowed by spatiotemporal vortices paves the way to the discovery of novel physical mechanisms and photonic applications in light science.

关键词： Spatiotemporal optical vortex Orbital angular momentum Spin-orbit interaction Linear momentum density Toroidal vortex Topological charge

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Subject-independent emotion recognition of EEG signals using graph attention-based spatial-temporal pattern learning 41

Subject-independent emotion recognition of EEG signals using...

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第41届中国控制会议

作者： Yiwen Zhu Yeshuang Guo Wenzhe Zhu Lare Di Zhong Yin School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Engineering Research Center of Optical Instrument and System Ministry of EducationShanghai Key Lab of Modern Optical SystemUniversity of Shanghai for Science and Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Electroencephalography(EEG) reveals human brain activities and becomes an essential solution for exploring human intrinsic emotional *** this study,we proposed a graph attention-based spatial-temporal pattern learning method called TAGAT to take full advantage of spatial structure of EEG channels and take the nonstationary of emotions into *** attention mechanism is applied to compute weight coefficients of different spatial and temporal *** alleviate differences between subjects,a domain discriminator is added to the model based on domain adaptation to tackle subject-independent EEG emotion recognition *** on the DEAP database,our method achieves the accuracy of 56.56% and 58.91% of arousal and valence dimensions for subject-independent emotion *** effectiveness of T-AGAT method has been demonstrated when compared to other existing common methods.

关键词： Emotion recognition electroencephalography deep learning transfer learning pattern learning

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Rapid Detection of Paclitaxel-Induced Changes in Cervical Cancer Cells Using an Ultrasensitive Biosensor 5th

Rapid Detection of Paclitaxel-Induced Changes in Cervical Ca...

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5th China and International Young Scientist Terahertz Conference, YTHZ 2024

作者： Zhang, Liwen Chen, Gan Hao, Yating Peng, Yan Department of Gynecology Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Shanghai University of Traditional Chinese Medicine Shanghai China Terahertz Technology Innovation Research Institute Terahertz Spectrum and Imaging Technology Cooperative Innovation Center Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai200093 China

ISBN: (纸本)9789819737857

In this paper, we used a surface plasmon resonance (SPR) biosensor combined with terahertz (THz) spectroscopy to investigate the effect of paclitaxel on cervical cancer cells (Hela cell) and successfully obtain the terahertz absorbance spectra. The results showed that as the concentration of paclitaxel increased, The spectra show a blue shift, increased, and the inhibition of the cells increased, The cell proliferation levels were assessed using the gold standard of drug assessment, and the results obtained were the same. This study shows that the combination of terahertz spectroscopy and SPR biosensor is a promising approach to achieve a simple, rapid, and low-cost method for approaches to Chemistry-Cell Relationships. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Terahertz spectroscopy

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Reflection performance of the Au/Cr asymmetrical grating under electric and magnetic fields

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Optik 2023年 293卷

作者： Jiao, Xinbing Zhang, Yueyang Xu, Xiang Shanghai Key Lab of Modern Optical System and Engineering Research Center of Optical Instrument and System Ministry of Education University of Shanghai for Science and Technology 516 Jungong Rd Shanghai200093 China

Symmetric grating is difficult to meet the requirements of optical communication, optical sensing, and solar cells, as the strictly integrating performance of the transmission or reflection efficiency, polarization, incident angle, and bandwidth. The asymmetrical grating is introduced to improve the performance of the optical devices. Here, the polarization properties, and spatial displacement of the P- and S- laser beams reflected from the Au/Cr asymmetrical grating under electric and magnetic fields are studied. The Goos-Hänchen (GH) shifts of the P-laser beam show dumbbell distribution. The GH shifts of the S-laser beam can be affected by the external direct current and magnetic field. The maximum GH and Imbert-Fedorov (IF) shifts of the P-laser beam are 15.75 µm and 35.10 µm, respectively. The maximum GH and IF shifts of the S-laser beam are 88.40 µm and 121.00 µm, respectively. The Au/Cr asymmetrical grating can be applied in polarization optics, magnetic sensors, electric sensors, and light manipulation. © 2023 Elsevier GmbH

关键词： Laser beams

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A Machine Learning Approach for laboratory Safety Monitoring under Extreme Conditions 22

A Machine Learning Approach for Laboratory Safety Monitoring...

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22nd International Conference on optical Communications and Networks, ICOCN 2024

作者： Meiyong, X. Han, Zhenni Wan, Anlu Meng, Shitong Zhang, Qian Chen, Song Wan, Jian Wang, Kaimin Beijing University of Posts and Telecommunications Beijing China Jiangxi Technology Business Institute Nanchang China Ministry of Education Shanghai Key Lab of Modern Optical System Shanghai Environmental Biosafety Instruments and Equipment Engineering Technology Research Center University of Shanghai for Science and Technology Shanghai China Shanghai Pudong New Area People's Hospital China

Safety monitoring in laboratories is significant, especially under extreme conditions. In this regard, we proposed a safety monitoring scheme based on machine learning methods. This scheme involves image reconstructio... 详细信息

ISBN: (纸本)9798350367652

关键词： Adversarial machine learning

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Research on OAM Multiplexing system Based on Atmospheric Turbulence Channels 22

Research on OAM Multiplexing System Based on Atmospheric Tur...

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22nd International Conference on optical Communications and Networks, ICOCN 2024

作者： Li, Shengyan Ma, Rong Wu, Dongfang Lu, Xinning Zhang, Yijiong Song, Wei Wan, Jian Wang, Kaimin Jiangxi Technology Business Institute Nanchang China Jinhua Research Institute of Zhejiang University Jinhua China Shanghai Environmental Biosafety Instruments and Equipment Engineering Technology Research Center University of Shanghai for Science and Technology Ministry of Education Shanghai Key Lab of Modern Optical System Shanghai China Shanghai Pudong New Area People's Hospital Shanghai China

Orbital angular momentum is widely applied to multiplexing communication systems. However, there are few reports on those systems based on the non-Kolmogorov turbulence. We conducted research on this topic and optimiz... 详细信息

ISBN: (纸本)9798350367652

关键词： Multiplexing

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Multifocal Rigid Gas Permeable Contact Lenses with Multi-Tangential Positioning and Corrected Spherical Aberration for Myopia Control

SSRN

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SSRN 2024年

作者： Li, Zhengwang Hong, Ruijin Zhang, Dawei Engineering Research Center of Optical Instrument and System Ministry of Education Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology No.516 Jungong Road Shanghai200093 China

Slowing the progression of myopia has become an extensive concern for parents of children with myopia. According to research findings in animals, eye growth is primarily influenced by the peripheral retina. Treatment options such as orthokeratology, daytime bifocal or multifocal soft contact lens usage are available because they can induce relative myopia in the periphery. In this work, a new multifocal rigid gas permeable (MFRGP) contact lens for myopia prevention and control in adolescents was designed specifically for preventing and controlling myopia in adolescents. This lens features a multi-tangentalignment curve, smaller spherical aberration, and transition defocus. FocalPoints and UPC 100 Vision were used for lens design and lathing, respectively. The lens structure and power profile were measured using IS830 and CONTEST 2, respectively. The elimination of lens aberrations was achieved through design optimization using ZEMAX with ray tracing. Lens fitting was evaluated using slit-lamp microscopy and corneal topography. © 2024, The Authors. All rights reserved.

关键词： Spheres

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Design and Fabrication of Polish-Free Orthokeratology Lens with Multi-Linear for Smooth Haptic Bearing

SSRN

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SSRN 2024年

Myopia, an increasingly grave public health concern, necessitates the implementation of various techniques for its management. These techniques predominantly comprise the employment of spectacles correction, orthokeratology (ortho-k), soft bifocal and multifocal lenses. In the present study, a pioneering polish-free ortho-k lens was devised, featuring two reverse lines and three alignment lines, which respectively expedite the shaping process and enhance centration. The structural blueprint of the ortho-k lens, along with the simulation of fluorescence staining, was executed employing the FocalPoints software (Advance Medical, Italy). © 2024, The Authors. All rights reserved.

关键词： Computer software

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To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning 29

To What Extent Do Natural Language Understanding Datasets Co...

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29th International Conference on Computational Linguistics, COLING 2022

作者： Li, Yitian Tian, Jidong Chen, Wenqing Fan, Caoyun He, Hao Jin, Yaohui MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University China State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University China

Reasoning and knowledge-related skills are considered as two fundamental skills for natural language understanding (NLU) tasks such as machine reading comprehension (MRC) and natural language inference (NLI). However, it is not clear to what extent an NLU task defined on a dataset correlates to a specific NLU skill. On the one hand, evaluating the correlation requires an understanding of the significance of the NLU skill in a dataset. Significance judges whether a dataset includes sufficient material to help the model master this skill. On the other hand, it is also necessary to evaluate the dependence of the task on the NLU skill. Dependence is a measure of how much the task defined on a dataset depends on the skill. In this paper, we propose a systematic method to diagnose the correlations between an NLU dataset and a specific skill, and then take a fundamental reasoning skill, logical reasoning, as an example for analysis. The method adopts a qualitative indicator to indicate the significance while adopting a quantitative indicator to measure the dependence. We perform diagnosis on 8 MRC datasets (including two types) and 3 NLI datasets and acquire intuitively reasonable results. We then perform the analysis to further understand the results and the proposed indicators. Based on the analysis, although the diagnostic method has some limitations, it is still an effective method to perform a basic diagnosis of the correlation between the dataset and logical reasoning skill, which also can be generalized to other NLU skills. © 2022 Proceedings - International Conference on Computational Linguistics, COLING. All rights reserved.

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LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation 23

LDSeq: Latent Diffusion Models for Sequence to Sequence Text...

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Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence

作者： Yizhou Ding Jidong Tian Shanxing Mei Yifan Zhou Yuwu Dong Hao He Weisheng Hu State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University China

ISBN: (纸本)9798400708688

Diffusion models have demonstrated remarkable success in generating continuous data, such as images and audios. Previous studies on text generation employing continuous diffusion models have revealed the potential of the diffusion framework. However, challenges like embedding collapse persist, limiting the overall generation performance. In this paper we introduce LDSeq, a latent diffusion framework employing a two-stage training procedure for sequence-to-sequence text generation. In the proposed framework, we first train a Variational Auto-Encoder (VAE) on downstream datasets to compress the target text of samples into a continuous latent space, and then we train a conditional latent diffusion model in the fixed continuous latent space, where the latent vectors are iteratively sampled conditioned on the input source text. The disjoint training stages prevent the collapse of diffusion space. Experimental results on paraphrase generation and text summarization datasets show that LDSeq achieves comparable or superior performance in comparison to AR and NAR baselines while requiring lower training cost. Furthermore, We discuss some potential future directions for enhancing diffusion models in the text generation domain.

关键词： Diffusion probabilistic models Latent variable models Sequence-to-sequence text generation

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