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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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Deep learning-based end-to-end depth estimation from a single-frame fringe pattern with the FDSUNet++ network

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Optoelectronics Letters 2025年

作者： ZHU Xinjun ZHANG Jialei song Limei WANG Hongyi TIAN Ruiqin School of Artificial Intelligence， Tiangong University School of Control Science and Engineering， Tiangong University

Recently the depth estimation methods based on deep learning (DL) retains challenging to estimate high-precision in fringe projection structured light three-dimensional (3D) measurement with limited information from a single-frame fringe pattern. In this letter， we proposed a FDSUNet++ convolutional neural network， which consists of a UNet++ base model， an improved squeeze-and-excitation (ISE) block， a Fourier transform (FT) data preprocessing block， and a discrete wavelet transform (DWT) block. The proposed ISE block can improve the ability of feature extraction and the designed FT data preprocessing block preserves the key features of the fringe pattern by Fourier transform. The introduced DWT block reduces the complexity and training cost of the model. By integrating these three blocks into the UNet++ network， it can better achieve depth estimation. Experimental results from two structured light datasets demonstrate that the proposed FDSUNet++ outperforms the state-of-art networks such as UNet， SUNet， R2U-Net， PCTNet and MSUNet++， achieving the best performance in both qualitative and quantitative evaluation.

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Composite-mask GAN based on refined optical flow and disparity map for SLAM visual odometry

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Optoelectronics Letters 2025年

作者： JI Yuehui JIANG Jingwei LIU Junjie song Yu GAO Qiang School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory of Control Theory and Application for Complex Systems

Although deep learning methods have been widely applied in slam visual odometry over the past decade with impressive improvements， the accuracy remains limited in complex dynamic environments. In this paper， a composite mask-based generative adversarial network is introduced to predict camera motion and binocular depth maps. Specifically， a perceptual generator is constructed to obtain the corresponding parallax map and optical flow from between two neighboring frames. Then， an iterative pose improvement strategy is proposed to improve the accuracy of pose estimation. Finally， a composite mask is embedded in the discriminator to sense structural deformation in the synthesized virtual image， thereby increasing the overall structural constraints of the network model， improving the accuracy of camera pose estimation， and reducing drift issues in the Visual Odometer. Detailed quantitative and qualitative evaluations on the KITTI dataset show that the proposed framework outperforms existing conventional， supervised learning and unsupervised depth VO methods， providing better results in both pose estimation and depth estimation.

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A novel flexible nerve guidance conduit promotes nerve regeneration while providing excellent mechanical properties

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Neural Regeneration Research 2025年第7期20卷 2084-2094页

作者： Tong Li Quhan Cheng Jingai Zhang Boxin Liu Yu Shi Haoxue Wang Lijie Huang Su Zhang Ruixin Zhang song Wang Guangxu Lu Peifu Tang Zhongyang Liu Kai Wang Department of Orthopedics the Fourth Medical Center of Chinese PLA General HospitalBeijingChina Department of Training and Sports Medicine Characteristic Medical Center of Chinese People’s Armed Police ForceTianjinChina Medical School of Chinese PLA BeijingChina Key Laboratory of Bioactive Materials for the Ministry of Education College of Life SciencesNankai UniversityTianjinChina Department of Orthopedics Tianjin HospitalTianjinChina Department of Rehabilitation Medicine Er Quan Hospital of PAPWuxiJiangsu ProvinceChina

Autografting is the gold standard for surgical repair of nerve defects>5 mm in length;however,autografting is associated with potential complications at the nerve donor *** an alternative,nerve guidance conduits may be *** ideal conduit should be flexible,resistant to kinks and lumen collapse,and provide physical cues to guide nerve *** designed a novel flexible conduit using electrospinning technology to create fibers on the innermost surface of the nerve guidance conduit and employed melt spinning to align ***,we prepared disordered electrospun fibers outside the aligned fibers and helical melt-spun fibers on the outer wall of the electrospun fiber *** presence of aligned fibers on the inner surface can promote the extension of nerve cells along the *** helical melt-spun fibers on the outer surface can enhance resistance to kinking and compression and provide *** novel conduit promoted nerve regeneration and functional recovery in a rat sciatic nerve defect model,suggesting that it has potential for clinical use in human nerve injuries.

关键词： aligned fibers anti-kinking helical fibers nerve guidance conduit nerve regeneration peripheral nerve injury topological guidance

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歧口A构造下侏罗统碎屑岩优质储层特征及控制因素

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长江大学学报（自然科学版） 2022年第4期19卷 21-27页

作者：贺银军臧春艳杨纪磊宋修章郝鹏王岩岩赵伟秦冠男蔡涛郑薇中海油能源发展股份有限公司工程技术分公司中海油实验中心天津300452

为了明确歧口A构造下侏罗统碎屑岩优质储层特征及控制因素,通过钻井、测井、岩心、铸体薄片、扫描电镜、阴极发光、常规物性、激光碳氧同位素等分析测试资料,对研究区碎屑岩优质储层特征及其成因进行了研究。结果表明,研究区岩石类型包... 详细信息

为了明确歧口A构造下侏罗统碎屑岩优质储层特征及控制因素,通过钻井、测井、岩心、铸体薄片、扫描电镜、阴极发光、常规物性、激光碳氧同位素等分析测试资料,对研究区碎屑岩优质储层特征及其成因进行了研究。结果表明,研究区岩石类型包括砂岩和砂砾岩,主要储集空间类型为原生粒间孔、粒间溶孔、粒内溶孔和少量裂缝;储层物性主要为中孔低渗。影响研究区碎屑岩储层发育的主要因素如下:沉积作用,有利储层主要分布在辫状三角洲平原分流河道砂坝和辫状三角洲前缘河口砂坝;成岩作用,储层中发育微晶石英衬垫和早期粒间碳酸盐胶结物等成岩作用,有效抵御了碎屑颗粒进一步压实,保存了大部分原生孔隙,形成了以原生孔隙为主的有利储层;溶蚀作用,多类型、多期次的溶蚀作用影响了储层的发育,形成了以次生孔隙为主的有利储层。

关键词：歧口A构造碎屑岩沉积相溶蚀作用微晶石英衬垫

Extramedullary plasmacytoma with the uvula as first affected site:A case report

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World Journal of Clinical Oncology 2025年第1期16卷 53-58页

作者： Jing Yang Hui Peng Sheng-Ke Tu Min Li Kui song Department of Hematology The First Affiliated Hospital of Jishou UniversityJishou 416000Hunan ProvinceChina Department of Pharmacy The First Affiliated Hospital of Jishou UniversityJishou 416000Hunan ProvinceChina

BACKGROUND Extramedullary plasmacytoma(EMP)represents one of the rarer forms of plasma cell malignancies,capable of impacting a variety of tissues and organs throughout the *** majority of EMP cases are predominantly found in the head and neck region,especially within the laryngopharynx,as well as in the gastrointestinal *** there have been documented instances of oropharyngeal involvement in EMP cases in the academic literature,it is important to note that EMP specifically affecting the uvula is exceedingly ***,it is noteworthy that over 60% of epithelial carcinomas in the upper respiratory tract and oropharynx tend to metastasize to the cervical lymph nodes,indicating a propensity for regional spread in these types of *** this context,we present a rare case of extramedullary plasmacytoma where the uvula served as the initially affected *** case emphasizes the need for heightened awareness among clinicians regarding such unusual comorbidities,as early recognition and diagnosis can significantly influence patient management and treatment *** addition,a review of the relevant literature is included to further educate and inform healthcare professionals about this rare presentation,ultimately aiming to enhance clinical understanding and improve patient care in similar *** SUMMARY A 51-year-old man was admitted to our hospital because of a slowly enlarging neck mass.A physical examination revealed a palpable left lymph node,and magnetic resonance imaging(MRI)of the oropharynx and the neck showed a soft tissue mass in the oropharynx and enlargement of multiple lymph nodes in the *** soft tissue mass was diagnosed as plasmacytoma by immunohistochemical *** immunoglobulins and bone marrow biopsy showed normal ***,we diagnosed that as EMP of the *** four cycles of adjuvant chemotherapy dominated by bortezomib,MRI reexamination showed a significant reduction of the mass

关键词： Extramedullary plasmacytoma Plasmacytoma Uvula Multiple myeloma Case report

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高压泡沫涨裂破岩特性试验研究

岩土工程学报 2025年第1期47卷 125-134页

作者：刘送永崔松顾聪聪中国矿业大学机电工程学院江苏徐州221116 中国矿业大学智能采矿装备技术全国重点实验室江苏徐州221116 安徽理工大学机电工程学院安徽淮南232001

针对钻爆法和机械法在岩石破碎工程中的弊端,基于泡沫的高黏性和可压缩性,提出了高压泡沫涨裂破岩技术。首先设计高压泡沫涨裂破岩装置,理论分析高压泡沫瞬间释放冲击岩石涨裂孔过程,搭建高压泡沫涨裂力测试装置并开展涨裂力影响试验,... 详细信息

针对钻爆法和机械法在岩石破碎工程中的弊端,基于泡沫的高黏性和可压缩性,提出了高压泡沫涨裂破岩技术。首先设计高压泡沫涨裂破岩装置,理论分析高压泡沫瞬间释放冲击岩石涨裂孔过程,搭建高压泡沫涨裂力测试装置并开展涨裂力影响试验,建立高压泡沫涨裂破岩试验系统,探讨不同空气体积分数时的泡沫涨裂特性,揭示高压泡沫涨裂破岩机理。研究表明:高压泡沫释放时,能够在涨裂孔内产生比泡沫初始压力更高的涨裂力,但涨裂力随泡沫空气体积分数增加而先增大后减小,高压泡沫涨裂破岩经历了裂纹初生、裂纹扩展、涨裂抛掷、涨裂结束4个阶段,破岩重量随泡沫空气体积分数的增加而先增大后减小,当空气体积分数为60%时,由高压泡沫冲击涨裂孔产生的压应力波在岩石上表面反射形成的拉应力造成岩石破坏形式为涨裂坑,空气体积分数为70%~90%时,泡沫涨裂形式为大块岩石分离,这主要是由孔底直角处应力集中效应造成。

关键词：高压泡沫涨裂破岩裂纹扩展涨裂力

Polarization-encoded neural networks with simplified grating patch

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Science China Technological Sciences 2025年

作者： Chengyan ZHONG Xiang WANG Lingfei LI Yuanchi CUI Lei XIAO Dawei song Junxiong GUO Wen HUANG Yufeng GUO Yu LIU College of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology College of Integrated Circuits Hangzhou Global Scientific and Technological Innovation Centre Zhejiang University Nanjing Mumusili Technology Co. LTD School of Integrated Circuits Tsinghua University Institute of Advanced Study School of Electronic Information and Electrical Engineering Chengdu University State Key Laboratory of Electronic Thin Films and Integrated Devices School of Integrated Circuit Science and EngineeringUniversity of Electronic Science and Technology of China

Optical neural networks (ONNs) offer a promising solution for high-performance, energy-efficient artificial intelligence hardware by leveraging the parallelism and speed of light. However, the large-scale implementation of ONNs remains challenging due to the bulky footprint and complex control of optical synapses. In this work, we propose and simulate a plasmonic polarized synaptic architecture that overcomes the diffraction limit and enables ultra-compact ONNs. By tuning the polarization state of incident light, the optical transmittance through each plasmonic unit can be dynamically adjusted to represent a synaptic weight. Our plasmonic structures, with features as small as 40 nm, operate well below this limit in the visible spectrum (400–750 nm). Compared with diffraction and interference-based circuit designs, our proposed method achieves a substantial reduction in synaptic density by factors of 150000-fold and 1500-fold, respectively. Furthermore, we successfully demonstrate a proof-of-concept plasmonic ONN applied to the Canadian Institute for Advanced Research—10classes (CIFAR-10) dataset using a Visual Geometry Group network with 16 layers (VGG16) model. After training for 80epochs, the network achieves an accuracy of 93%. The polarization-tunable plasmonics paves the way towards scalable ONNs for next-generation artificial intelligence (AI) accelerators and smart sensors.

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Imidazolium-based ionic polymers for fast and efficient anion-exchange driven capture of Cr2O72-

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Science China Chemistry 2025年

作者： Yishou Wang Xiaonan Yuan Xingxing Gou Xiatian song Xiaogang Wang Ling Guo Yanfeng Liu Chengfang Qiao Chunsheng Zhou Yingfeng Han Shaanxi Key Laboratory of Comprehensive Utilization of Tailings Resources Shaanxi Engineering Research Center for Mineral Resources Clean & Efficient Conversion and New Materials College of Chemical Engineering and Modern Materials Shangluo University Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of the Ministry of Education Xi'an Key Laboratory of Functional Supramolecular Structure and Materials College of Chemistry and Materials Science Northwest University

The pervasive issue of chromium（VI） contamination,particularly in dichromate (Cr2O2-7),resulting from unchecked industrial growth and inadequate waste management,remains a pressing concern that demands immediate and dedicated ***,we present two novel imidazolium-based ionic polymers （ImIPs）.The ImIPs boast a highly cationic structure rich in bromide（Br-） ions and exhibit remarkable porosity,facilitating the easy exchange of these ions for chromate (Cr2O2-7) through anion *** unique combination leads to exceptional performance,including a high adsorption capacity （423 mg/g）,rapid adsorption rate (75 mg g-1min-1),and a broad operational pH range （2–12）.Moreover,our material demonstrates remarkable reusability,maintaining its efficacy even after 10 cycles without significant loss of *** mechanistic studies underscore the role of ion-exchange chemistry in effectively removing dichromate by the presented ImIPs,providing strong evidence for their suitability as a robust solution to address the ongoing challenges in water *** findings represent a crucial step in developing advanced materials for tackling chromium（VI） pollution.

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