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A Novel Self-Supervised Learning Network for Binocular Disparity Estimation

Computer Modeling in Engineering & Sciences 2025年第1期142卷 209-229页

作者： Jiawei tian Yu Zhou Xiaobing Chen Salman A.AlQahtani Hongrong Chen Bo Yang Siyu Lu Wenfeng Zheng Department of Computer Science and Engineering Major in Bio Artificial IntelligenceHanyang UniversityAnsan-si15577Republic of Korea School of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLA 70803USA Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11574Saudi Arabia School of Automation University of Electronic Science and Technology of ChinaChengdu610054China

Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical *** study proposes a novel end-to-end disparity estimation model to address these *** approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting *** study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and *** model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video *** results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing ***,the model exhibited faster convergence during training,contributing to overall performance *** study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments.

关键词： Parallax estimation parallax regression model self-supervised learning Pseudo-Siamese neural network pyramid dilated convolution binocular disparity estimation

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Sparse Tensor Prior for Hyperspectral,Multispectral,and Panchromatic Image Fusion

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 284-286页

作者： Xin tian Wei Zhang Dian Yu jiayi Ma the Electronic Information School Wuhan UniversityWuhan 430072China

Dear Editor, This letter is concerned with a new hyperspectral fusion paradigm by simultaneously fusing hyperspectral, multispectral, and panchromatic images. Seeking an efficient prior about the target hyperspectral image(HSI), is vital for constructing an accurate fusion model in this problem. To this end, this work suggests a novel sparse tensor prior using patch-based sparse tensor dictionary learning.

关键词： spectral patch concerned

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火焰原子吸收光谱法测定冬枣中的微量元素

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广东微量元素科学 2012年第1期19卷 38-41页

作者：肖忠峰赵西梅吴涛田家怡滨州学院化学与化工系山东滨州256603 滨州学院山东省黄河三角洲生态环境重点实验室山东滨州256603 滨州学院滨州市食品安全重点实验室山东滨州256603

用火焰原子吸收光谱法测定了冬枣中钾、钠、钙、镁、铁、锰、铜和锌的含量。结果表明,该法的加标回收率为96.7%～102.8%,RSD≤3.06%。该法操作简单,结果准确,为冬枣资源的进一步开发利用和栽培技术的改进提供了参考依据。

关键词：冬枣火焰原子吸收光谱法微量元素

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银丹解毒颗粒质量标准的建立及急性毒性试验

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中国药事 2022年第3期36卷 313-321页

作者：刘敏陈丽芳田佳懿刘洋张轩齐刘炜首都医科大学附属北京世纪坛医院药学部北京100038 临床合理用药评价北京市重点实验室北京100038 中国药科大学工学院南京210009 首都医科大学附属北京佑安医院药学部北京100069

目的:建立银丹解毒颗粒的质量标准并进行急性毒性试验。方法:采用高效液相色谱法(HPLC)测定银丹解毒颗粒中黄芩苷的含量,采用Agilent EClipse SB-C_(18)色谱柱(4.6 mm×250 mm,5μm),以甲醇-水-磷酸(47∶53∶0.2)为流动相,流速1.0 mL·m... 详细信息

目的:建立银丹解毒颗粒的质量标准并进行急性毒性试验。方法:采用高效液相色谱法(HPLC)测定银丹解毒颗粒中黄芩苷的含量,采用Agilent EClipse SB-C_(18)色谱柱(4.6 mm×250 mm,5μm),以甲醇-水-磷酸(47∶53∶0.2)为流动相,流速1.0 mL·min^(-1),检测波长280 nm,柱温30℃,进样量10μL。采用薄层色谱法(TLC)定性鉴别银丹解毒颗粒中的金银花、黄芩、麻黄、桑白皮。急毒试验设置阴性对照组和银丹解毒颗粒给药组,连续观察14天并记录相关指标。结果:黄芩苷进样量在0.8072~10.09μg范围呈良好线性关系(r=0.9998),平均回收率为98.72%,RSD=1.98%(n=9);精密度、稳定性、重复性试验的RSD均小于2%。金银花、黄芩、麻黄、桑白皮的TLC图特征性斑点清晰,分离度好,专属性强,阴性对照无干扰。大鼠银丹解毒颗粒单日灌胃给药169.80 g·kg^(-1),相当于临床剂量的57.52倍,未见明显毒性。结论:建立的方法操作简便、精确度高、结果可靠,可用于银丹解毒颗粒的质量控制;银丹解毒颗粒临床剂量安全可靠。

关键词：银丹解毒颗粒质量标准高效液相色谱法急毒试验

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Dip2a regulates stress susceptibility in the basolateral amygdala

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Neural Regeneration Research 2025年第6期20卷 1735-1748页

作者： Jing Li Zixuan He Weitai Chai Meng tian Huali Yu Xiaoxiao He Xiaojuan Zhu Key Laboratory of Molecular Epigenetics Ministry of Education Institute of Genetics and CytologyNortheast Normal UniversityChangchunJilin ProvinceChina

Dysregulation of neurotransmitter metabolism in the central nervous system contributes to mood disorders such as depression, anxiety, and post–traumatic stress disorder. Monoamines and amino acids are important types of neurotransmitters. Our previous results have shown that disco-interacting protein 2 homolog A(Dip2a) knockout mice exhibit brain development disorders and abnormal amino acid metabolism in serum. This suggests that DIP2A is involved in the metabolism of amino acid–associated neurotransmitters. Therefore, we performed targeted neurotransmitter metabolomics analysis and found that Dip2a deficiency caused abnormal metabolism of tryptophan and thyroxine in the basolateral amygdala and medial prefrontal cortex. In addition, acute restraint stress induced a decrease in 5-hydroxytryptamine in the basolateral amygdala. Additionally, Dip2a was abundantly expressed in excitatory neurons of the basolateral amygdala, and deletion of Dip2a in these neurons resulted in hopelessness-like behavior in the tail suspension test. Altogether, these findings demonstrate that DIP2A in the basolateral amygdala may be involved in the regulation of stress susceptibility. This provides critical evidence implicating a role of DIP2A in affective disorders.

关键词： 5-hydroxytryptamine acute restraint stress basolateral amygdala CaMKII neurons DIP2A metabolomics neurotransmitters principal component analysis stress susceptibility tryptophan

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Ultra‑High Sensitivity Anisotropic Piezoelectric Sensors for Structural Health Monitoring and Robotic Perception

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Nano-Micro Letters 2025年第2期17卷 432-446页

作者： Hao Yin Yanting Li Zhiying tian Qichao Li Chenhui Jiang Enfu Liang Yiping Guo State Key Laboratory of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China Beijing Vacuum Electronics Research Institute Beijing 100015People’s Republic of China Fundamental Science On Vibration Shock and Noise LaboratoryState Key Laboratory of Mechanical System and VibrationSchool of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China

Monitoring minuscule mechanical signals,both in magnitude and direction,is imperative in many application scenarios,e.g.,structural health monitoring and robotic sensing ***,the piezoelectric sensor struggles to satisfy the requirements for directional recognition due to the limited piezoelectric coefficient matrix,and achieving sensitivity for detecting micrometer-scale deformations is also ***,we develop a vector sensor composed of lead zirconate titanate-electronic grade glass fiber composite filaments with oriented arrangement,capable of detecting minute anisotropic *** as-prepared vector sensor can identify the deformation directions even when subjected to an unprecedented nominal strain of 0.06%,thereby enabling its utility in accurately discerning the 5μm-height wrinkles in thin films and in monitoring human pulse *** ultra-high sensitivity is attributed to the formation of porous ferroelectret and the efficient load transfer efficiency of continuous lead zirconate titanate ***,when integrated with machine learning techniques,the sensor’s capability to recognize multi-signals enables it to differentiate between 10 types of fine textures with 100%*** structural design in piezoelectric devices enables a more comprehensive perception of mechanical stimuli,offering a novel perspective for enhancing recognition accuracy.

关键词： Flexible piezoelectric filaments Anisotropic Ultra-high sensitivity Structural health detection Texture recognition

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More Than Lightening:A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 622-637页

作者： Han Xu jiayi Ma Yixuan Yuan Hao Zhang Xin tian Xiaojie Guo the Electronic Information School Wuhan UniversityWuhan 430072China IEEE the Department of Electronic Engineering Chinese University of Hong KongHong Kong 999077China the College of Intelligence and Computing Tianjin UniversityTianjin 300350China

Low-light images suffer from low quality due to poor lighting conditions,noise pollution,and improper settings of *** enhance low-light images,most existing methods rely on normal-light images for guidance but the collection of suitable normal-light images is *** contrast,a self-supervised method breaks free from the reliance on normal-light data,resulting in more convenience and better *** self-supervised methods primarily focus on illumination adjustment and design pixel-based adjustment methods,resulting in remnants of other degradations,uneven brightness and *** response,this paper proposes a self-supervised enhancement method,termed as *** can handle multiple degradations including illumination attenuation,noise pollution,and color shift,all in a self-supervised *** attenuation is estimated based on physical principles and local neighborhood *** removal and correction of noise and color shift removal are solely realized with noisy images and images with color ***,the comprehensive and fully self-supervised approach can achieve better adaptability and *** is applicable to various low light conditions,and can reproduce the original color of scenes in natural *** experiments conducted on four public datasets demonstrate the superiority of SLIE to thirteen state-of-the-art *** code is available at https://***/hanna-xu/SLIE.

关键词： Color correction low-light image enhancement self-supervised learning.

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Pulp health and calcific healing of a complicated crown–root fracture with additional root fracture in a maxillary incisor: A case report

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World Journal of Clinical Cases 2025年第3期13卷 42-49页

作者： Na Li Yue-Yue Ren Ying Tang Qi Yang tian-tian Meng Song Li Jing Zhang Stomatological Hospital and College Anhui Medical UniversityHefei 230032Anhui ProvinceChina Department of Endodontics The Affiliated Stomatological Hospital of Xuzhou Medical UniversityXuzhou 221000Jiangsu ProvinceChina

BACKGROUND Complicated crown–root fracture (CRF) involves severe injury to the crown, root,and pulp, and may be accompanied by multiple root fractures. The loss of a toothhas lifelong consequences for children and teenagers, but the maintenance of pulphealth and the calcific healing of multiple root fractures are rarely reported in *** SUMMARY This case reports healing of a permanent tooth with complicated crown–root andadditional root fractures, in which pulp health was maintained. A 10-year-old girlfell and fractured the root of her maxillary left central incisor at the cervical *** the coronal fragment was repositioned, the tooth was splinted until thetooth was no longer mobile, 2 years later. Eight years after treatment, the toothhas remained asymptomatic with vital pulp and localized gingival ***-beam computed tomography revealed not only calcified healing of the CRFbut also spontaneous healing in an additional undiagnosed root fracture. Thefracture line on the enamel could not be healed by hard tissue and formed agroove in the cervical crown. It was speculated that the groove was related to thelocalized gingival *** This case provides a clinical perspective of the treatment of a tooth with acomplicated CRF and an additional root fracture.

关键词： Complicated crown-root fracture Multiple root fracture Spontaneous healing Cone-beam computed tomography Long-term follow-up Case report

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新型冠状病毒疫情期间医院中药制剂的应急备案申请

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中国药事 2020年第9期34卷 1093-1098页

作者：刘敏刘礼斌田佳懿刘洋陈丽芳刘炜首都医科大学附属北京世纪坛医院临床合理用药生物特征谱学评价北京市重点实验室临床合理用药生物特征谱学评价国际合作联合实验室北京100038

目的:为疫情防控用医疗机构制剂的应急备案提供参考。方法:结合《北京市药品监督管理局关于对新型冠状病毒感染肺炎疫情防控用医疗机构制剂实施应急审批公告》《北京市医疗机构应用传统工艺配制中药制剂备案管理实施细则》以及我院新型... 详细信息

目的:为疫情防控用医疗机构制剂的应急备案提供参考。方法:结合《北京市药品监督管理局关于对新型冠状病毒感染肺炎疫情防控用医疗机构制剂实施应急审批公告》《北京市医疗机构应用传统工艺配制中药制剂备案管理实施细则》以及我院新型冠状病毒疫情期间中药制剂应急备案申请情况,讨论本次应急备案的申报背景、主要流程、相关材料以及应注意的问题。结果与结论:针对新型冠状病毒疫情期间中药制剂的应急备案审批,简化了申报材料,缩短了审批周期,及时补充了疫情防控用药品的不足。

关键词：新型冠状病毒医疗机构制剂应急备案

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RF-Net: Unsupervised Low-Light Image Enhancement Based on Retinex and Exposure Fusion

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Computers, Materials & Continua 2023年第10期77卷 1103-1122页

作者： tian Ma Chenhui Fu jiayi Yang Jiehui Zhang Chuyang Shang College of Computer Science and Technology Xi’an University of Science and TechnologyXi’an710054China

Low-light image enhancement methods have limitations in addressing issues such as color distortion,lack of vibrancy,and uneven light distribution and often require paired training *** address these issues,we propose a two-stage unsupervised low-light image enhancement algorithm called Retinex and Exposure Fusion Network(RFNet),which can overcome the problems of over-enhancement of the high dynamic range and under-enhancement of the low dynamic range in existing enhancement *** algorithm can better manage the challenges brought about by complex environments in real-world scenarios by training with unpaired low-light images and regular-light *** the first stage,we design a multi-scale feature extraction module based on Retinex theory,capable of extracting details and structural information at different scales to generate high-quality illumination and reflection *** the second stage,an exposure image generator is designed through the camera response mechanism function to acquire exposure images containing more dark features,and the generated images are fused with the original input images to complete the low-light image *** show the effectiveness and rationality of each module designed in this *** the method reconstructs the details of contrast and color distribution,outperforms the current state-of-the-art methods in both qualitative and quantitative metrics,and shows excellent performance in the real world.

关键词： Low-light image enhancement multiscale feature extraction module exposure generator exposure fusion

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