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Learning to see speckle in the weak laser field through multimode fiber

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Optoelectronics Letters 2025年

作者： JI Yunqi song Binbin LI Xueqing LI Yonghui The Engineering Research Center of Learning-Based Intelligent System (Ministry of Education)， the Key Laboratory of Computer Vision and Systems (Ministry of Education)， and the School of Computer Science and Engineering， Tianjin University of Technology

Multimode fibers (MMFs) have great potential for endoscopic imaging due to the high number of modes and a small core diameter. Deep learning based on neural networks has received increasing attention in the field of scattering image reconstruction. However， most studies focus on designing complex network architectures to improve reconstruction， but these network models struggle to reconstruct images in a weak laser field. In the paper， a lightweight generative adversarial network model combined with a histogram specification algorithm is designed to reconstruct speckles in the weak laser field through MMF. Experimental results show that the reconstruction results of our algorithm have better metrics. Moreover， the model demonstrates excellent cross-domain generalization ability with regards to the Fashion-MNIST dataset. It is worth mentioning that we found that the speckles after inactivation still retain the ability to be reconstructed， which enhances the robustness of the model

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EBD-YOLO：a lightweight auxiliary driving detection algorithm based on YOLOv5

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Optoelectronics Letters 2025年

作者： SUN Lianshuai SHI Tao DING Yao LI song Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems， School of Electrical Engineer-ing and Automation， Tianjin University of Technology College of Electrical Engineering， North China University of Science and Technology

A lightweight road-assistant detection algorithm， EBD-YOLO， based on YOLOv5s is proposed to address the problems of high model complexity， computation cost， and difficulty in deployment on resource-limited embedded terminals in existing assisted driving detection algorithms. First， lightweight Transformer model EfficientViT was used as the backbone feature extraction network of YOLOv5s model to reduce network parameters and calculation costs. Secondly， a Focal-GIoU Loss function is proposed for bounding box regression to accelerate model convergence and reduce loss. Thirdly， the feature pyramid structure is improved to a weighted bi-directional feature pyramid network (BiFPN) to enhance localization and semantic features. Then， a dynamic head framework is added to unify the attention mechanism with the object detection head to improve its performance. Finally， a Soft-CIoU＿NMS algorithm is proposed in the post-processing stage to enhance occluded targets' localization and detection ability and reduce the missed detection rate. We conducted experiments on the KITTI and BDD100K datasets for autonomous driving， and the results showed that the EBD-YOLO model reduced in size by 38.4% and 37.2%， respectively. In comparison， the computational cost was reduced by 48.1%. As measured by mAP@0.5， the detection accuracy improved by 0.5% and 5.8%， respectively， and mAP@0.5:0.95 improved by 2.8% and 7%， respectively. These improvements satisfied the requirements for deployment on embedded terminals in cars.

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Wetland and habitat dynamics in the evolving landscape of the Middle Yangtze River Basin

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Journal of Geographical Sciences 2025年第1期35卷 88-111页

作者： YANG Peng SUN Kaiya ZHU Yanchao XIA Jun HUANG Heqing song Jingxia SHI Xiaorui LU Xixi Hubei Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information Engineering China University of Geosciences Department of Geography National University of Singapore State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University

Wetlands play a critical role in the global environment. The Middle Yangtze River Basin(MYRB), known for its abundant wetland resources, has experienced notable changes resulting from the complex interplay of environmental factors. Therefore, we investigated the spatiotemporal characteristics of wetland ecological quality in the MYRB from 2001 to *** the random forest(RF) regression algorithm and patch-generated land-use simulation(PLUS) model, we forecasted variations in wetland habitat quality and their determinants under the Shared Socioeconomic Pathway-Representative Concentration Pathway(SSPRCP) framework from 2035 to 2095. The main findings are as follows:(1) The RF algorithm was optimal for land-use and land-cover(LULC) classification in the MYRB from 2001 to 2020,when notable changes were observed in water bodies and buildings. However, the forested area exhibited an increase and decrease of 3.9% and 1.2% under the SSP1-2.6 and SSP5-8.5 scenarios, respectively, whereas farmland exhibited a diminishing trend.(2) Wetlands were primarily concentrated in the central and eastern MYRB, with counties in the southwest exhibiting superior ecological-environmental quality from 2001 to 2020. Notably,wetland coverage revealed significantly high level, significant changes, frequent but relatively minor changes under the SSP1-2.6, SSP2-4.5, and SSP 5-8.5 scenarios, respectively.(3)Regions with lower habitat quality were primarily concentrated in urbanized areas characterized by frequent human activities, indicating a clear degradation in habitat quality across different scenarios. In conclusion, we established a foundational framework for future investigations into the eco-hydrological processes and ecosystem quality of watersheds.

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Optimizing hardware-software co-design based on non-ideality in memristor crossbars for in-memory computing

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Science China(Information Sciences) 2025年

作者： Pinfeng JIANG Danzhe song Menghua HUANG Fan YANG Letian WANG Pan LIU Xiangshui MIAO Xingsheng WANG School of Integrated Circuits Huazhong University of Science and Technology Hubei Yangtze Memory Labs

The memristor crossbar, with its exceptionally high storage density and parallelism, enables efficient vector matrix multiplication (VMM), significantly improving data throughput and computational efficiency. However, its analog computing is vulnerable to issues like IR-drop, device-to-device (D2D) variation, and stuck-at-fault (SAF), leading to a substantial decrease in the inference accuracy of neural networks deployed on crossbars. This work presents a hardware-software co-design approach tailored to deal with memristor crossbar non-ideality. We introduce an end-to-end functional array simulator (FAST) for precise and ultra fast end-to-end training, mapping, and evaluation of neural networks on the memristor crossbar. Utilizing the sparsity of the memristor crossbar coefficient matrix, it achieves simulation with low storage and computational resource requirements,dynamically selecting the optimal solution to complete the process. It can also precisely simulate the impact of non-ideal effects such as IR-drop, retention, variation, SAF, and AD/DA precision. Using FAST, we assess memristor crossbar matrix operations under non-ideal conditions, identifying the max throughput and the most energy-efficient crossbar configurations. Additionally,we propose a comparator-based activation function modulation (CAFM) scheme and its corresponding hardware architecture with programmable activation function circuits to address the IR-drop issue, enabling low power and area overheads, resulting in the recovery of neural network accuracy by 54%or more. This is validated within FAST, demonstrating the success of our hardware-software optimization co-design.

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Impacts of the annual cycle of background SST in the tropical Pacific on the phase and amplitude of ENSO

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 12-17页

作者： song Jiang Congwen Zhu Ning Jiang State Key Laboratory of Severe Weather(LASW) Chinese Academy of Meteorological SciencesBeijingChina College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijingChina

The dominant annual cycle of sea surface temperature(SST)in the tropical Pacific exhibits an antisymmetric mode,which explains 83.4%total variance,and serves as a background of El Niño-Southern Oscillation(ENSO).However,there is no consensus yet on its anomalous impacts on the phase and amplitude of *** on data during 1982-2022,results show that anomalies of the antisymmetric mode can affect the evolution of ENSO on the interannual scale via Bjerknes feedback,in which the positive(negative)phase of the antisymmetric mode can strengthen El Niño(La Niña)in boreal winter via an earlier(delayed)seasonal cycle transition and larger(smaller)annual *** magnitude of the SST anomalies in the equatorial eastern Pacific can reach more than±0.3◦C,regulated by the changes in the antisymmetric mode based on random sensitivity *** reveal the spatial pattern of the annual cycle associated with the seasonal phase-locking of ENSO evolution and provide new insight into the impact of the annual cycle of background SST on ENSO,which possibly carries important implications for forecasting ENSO.

关键词： Annual cycle SST anomaly Antisymmetric mode ENSO

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HOS15 represses flowering by promoting GIGANTEA degradation in response to low temperature in Arabidopsis

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Plant Communications 2023年第4期4卷 225-239页

作者： Gyeongik Ahn Hee Jin Park song Yi Jeong Gyeong-Im Shin myung geun Ji Joon-Yung Cha Jeongsik Kim Min Gab Kim Dae-Jin Yun Woe-Yeon Kim Research Institute of Life Science Institute of Agricultural and Life ScienceGyeongsang National UniversityJinju 52828Republic of Korea Division of Applied Life Science(BK21 Four) Plant Biological Rhythm Research CenterPlant Molecular Biology and Biotechnology Research CenterGraduate School of Gyeongsang National UniversityJinju 52828Republic of Korea Department of Biological Sciences College of Natural SciencesChonnam National UniversityGwangju 61186Republic of Korea Faculty of Science Education and Interdisciplinary Graduate Program in Advanced Convergence Technology and Science Jeju National UniversityJeju 63243Republic of Korea College of Pharmacy and Research Institute of Pharmaceutical Science PMBBRCGyeongsang National UniversityJinju 52828Republic of Korea Institute of Glocal Disease Control Konkuk UniversitySeoul 05029Republic of Korea Key Laboratory of Molecular Epigenetics of the Ministry of Education(MOE) Northeast Normal UniversityChangchun 130024China

Flowering is the primary stage of the plant developmental transition and is tightly regulated by environmental factors such as light and ***,the mechanisms by which temperature signals are integrated into the photoperiodic flowering pathway are still poorly ***,we demonstrate that HOS15,which is known as a GI transcriptional repressor in the photoperiodic flowering pathway,controls flowering time in response to low ambient *** 16℃,the hos15 mutant exhibits an early flowering phenotype,and HOS15 acts upstream of photoperiodic flowering genes(GI,CO,and FT).GI protein abundance is increased in the hos15 mutant and is insensitive to the proteasome inhibitor ***,the hos15 mutant has a defect in low ambient temperature-mediated GI degradation,and HOS15 interacts with COP1,an E3 ubiquitin ligase for GI *** analyses of the hos15 cop1 double mutant revealed that repression of flowering by HOS15 is dependent on COP1 at 16℃.However,the HOS15-COP1 interaction was attenuated at 16℃,and GI protein abundance was additively increased in the hos15 cop1 double mutant,indicating that HOS15 acts independently of COP1 in GI turnover at low ambient *** study proposes that HOS15 controls GI abundance through multiple modes as an E3 ubiquitin ligase and transcriptional repressor to coordinate appropriate flowering time in response to ambient environmental conditions such as temperature and day length.

关键词： Arabidopsis flowering response low ambient temperature HOS15 GIGANTEA

Strategies for achieving fast-charge and high-voltage polymer-based solid-state lithium metal batteries

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Science China Chemistry 2025年

作者： Zitian Lin Sucheng Liu Ce Cui Wuhua Liu Yufeng Su Huiyu song Li Du Jianqiang Hu Zhiming Cui Guangdong Provincial Key Laboratory of Fuel Cell Technology School of Chemistry and Chemical Engineering South China University of Technology

Solid-state polymer electrolytes hold the potential for market application due to the combination of advantageous properties,such as flexibility,ease of processing and low ***,the sluggish ion transport and poor high-voltage stability pose significant challenges for the practical application of polymer-based solid-state lithium metal batteries (SSLMBs).Therefore,the design and development of polymer-based SSLMBs toward fast-charge and high-voltage is of great significance in high-energydensity ***,this review deeply analyzes the mechanism of ion transport and anti-oxidation of polymer-based solidstate ***,we also systematically and comprehensively summarize the factors that affect ionic conductivity and the electrochemical ***,we outline the solution strategies for simultaneously enhancing both ionic conductivity and high-voltage ***,we discuss the main challenges and the future prospects of polymer-based SSLMBs for further *** is hoped that this review can provide both advances and fundamentals to the research community and pave the way for the development of SSLMBs

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Carbon dots self-assembly enables near-infrared emission

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Science China Chemistry 2025年

作者： Shurong Ding Shasha Liu Yuzhuo Yang Linlin Shi Yongqiang Zhang Jingkun Yu Haoqiang song Yingge Shi Siyu Lu College of Chemistry Pingyuan Laboratory Zhengzhou University Henan Institute of Advanced Technology Zhengzhou University

In the fields of biomedicine, detection, and anti-counterfeiting, there is a widespread demand for cost-effective, easily synthesized, and environmentally friendly near-infrared(NIR) materials. Carbon dots(CDs), a cheap and non-toxic zero-dimensional carbon nanomaterial exhibiting exceptional photoluminescence(PL) properties and facile structural modification, have emerged as a promising candidate for the development of novel NIR materials. This study presents the synthesis of CDs capable of emitting a wide range of wavelengths from blue to NIR(456–836 nm) as their concentrations increase. The incorporation of oxygen and nitrogen co-doped atoms facilitates the optimization of non-coplanar angles, thereby promoting favorable π-πstacking interactions. This leads to the formation of metal-free rigid clusters through interconnecting adjacent nanoparticles in a gear-like meshing pattern through self-assembly. Consequently, intramolecular motion is constrained, vibration coupling is mitigated, non-radiative transition losses are minimized, and efficient NIR emission from CD clusters in high concentrations is ensured. Furthermore, NIR light-emitting diode(NIR LED) based on the CD clusters was successfully fabricated and employed for various applications including information encryption, anti-counterfeiting, and penetration detection in the field of NIR imaging.

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Rational design of lipid-activatable NIR-II probes for precisely imaging atherosclerotic plaque

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Science China Chemistry 2025年

作者： Xinyu Xu Yuan Ma Hui Cao Li Xu Haoming Chen Sulai Liu Wei Sun Guosheng song Xiaobing Zhang State Key Laboratory for Chemo/Bio-Sensing and Chemometrics College of Chemistry and Chemical EngineeringHunan University Department of Hepatobiliary Surgery/Central Laboratory Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) Department of Cardiology the First Affiliated Hospital of Nanjing Medical University Key Laboratory of Targeted Intervention of Cardiovascular Disease Collaborative Innovation Center for Cardiovascular Disease Translational MedicineNanjing Medical University Shenzhen Research Institute of Hunan University

Atherosclerosis(AS) is a prevalent condition associated with cardiovascular and cerebrovascular diseases, featuring lipid-laden plaque; however, the insufficient resolution and low sensitivity of traditional medical imaging techniques limit their application in lipid imaging. Currently, the second near-infrared(NIR-II) fluorescence imaging offers promising sensitivity and convenience. However, existing probes have limitations in terms of signal-to-background ratio, penetration depth, and tissue scattering. Herein, we use a molecular regulatory strategy to design a lipid-activatable probe Rh-965 with high specificity and NIR-II emission for improved imaging potential in deep tissues. The potential of Rh-965 for imaging plaque lipids in mice with AS is demonstrated by localizing carotid artery plaques using NIR-II imaging. The development of more stable lipid-activated NIR-II probes can significantly enhance atherosclerosis diagnosis and facilitate in vivo imaging in deeper tissues.

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