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Unsupervised content-preserving transformation for optical microscopy

Light(Science & Applications) 2021年第3期10卷 390-400页

作者： Xinyang Li Guoxun Zhang Hui Qiao Feng Bao Yue Deng Jiamin Wu Yangfan He jingping yun Xing Lin Hao Xie Haoqian Wang Qionghai Dai Department of Automation Tsinghua UniversityBeijing 100084China Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055China Institute for Brain and Cognitive Sciences Tsinghua UniversityBeijing 100084China School of Astronautics Beihang UniversityBeijing 100191China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang UniversityBeijing 100191China Department of Pathology Sun Yat-sen University Cancer CenterGuangzhou 510060China State Key Laboratory of Oncology in South China Guangzhou 510060China Collaborative Innovation Center for Cancer Medicine Guangzhou 510060China Beijing Innovation Center for Future Chips Tsinghua UniversityBeijing 100084China

The development of deep learning and open access to a substantial collection of imaging data together provide a potential solution for computational image transformation,which is gradually changing the landscape of optical imaging and biomedical ***,current implementations of deep learning usually operate in a supervised manner,and their reliance on laborious and error-prone data annotation procedures remains a barrier to more general ***,we propose an unsupervised image transformation to facilitate the utilization of deep learning for optical microscopy,even in some cases in which supervised models cannot be *** the introduction of a saliency constraint,the unsupervised model,named Unsupervised content-preserving Transformation for Optical Microscopy(UTOM);can learn the mapping between two image domains without requiring paired training data while avoiding distortions of the image *** shows promising performance in a wide range of biomedical image transformation tasks,including in silico histological staining,fluorescence image restoration,and virtual fluorescence *** evaluations reveal that UTOM achieves stable and high-fidelity image transformations across different imaging conditions and *** anticipate that our framework will encourage a paradigm shift in training neural networks and enable more applications of artificial intelligence in biomedical imaging.

关键词： transformation preserving image

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Facts about Endosalpingiosis

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Open Journal of Obstetrics and Gynecology 2015年第10期5卷 523-527页

作者： Min Hou Lipai Chen jingping yun Department of Pathology Cancer Center Guangzhou Medical University Guangzhou China Department of Gynecological Oncology Cancer Center Guangzhou Medical University Guangzhou China State Key Laboratory of Oncology in South China and Department of Pathology Sun Yat-sen University Cancer Center Guangzhou China

Endosalpingiosis was first described by Sampson in 1930. However, until recently more and more studies show the convincing evidence that it most probably originates from tubal cells. It has a close relationship with the development of serous tumors, especially low-grade serous carcinoma. The lesion does cause symptoms and signs, such as chronic abdominal pain or tumor-like mass, though it is often found accidently for other gynecologic problems. Occasionally atypical endosalpingiosis needs to be differentiated from a malignancy when it appears in an unusual site with worrying morphologic presentations or under some special circumstances. Owing to the facts that it may evolve quietly and continuously towards serous tumors, and that the lesions at different sites may evolve independently, the outcomes of its evolution can eventually kill the patient. Therefore, a proper recognition of the lesion will translate it into an adequate care for those patients. This review summarizes the most recent findings and makes thoughtful comments.

关键词： Endosalpingiosis Chronic Abdominal Pain Serous Tumors Tubal-Cell Origin Carcinogenesis

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2017年第四版世界卫生组织甲状腺肿瘤病理新分类解读

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中华耳鼻咽喉头颈外科杂志 2018年第9期53卷 718-720页

作者：张玉吴秋良云径平华南肿瘤学国家重点实验室肿瘤医学协同创新中心中山大学肿瘤防治中心病理科广州510060

近年我国甲状腺癌发病率逐渐增高，甲状腺病理诊断及分类一直遵循2004年第三版《内分泌器官肿瘤病理学和遗传学WHO分类》中甲状腺肿瘤分类，2017年7月，第四版《内分泌器官肿瘤WHO分类》出版。与旧版相比，新版甲状腺肿瘤WHO分类主要在... 详细信息

近年我国甲状腺癌发病率逐渐增高，甲状腺病理诊断及分类一直遵循2004年第三版《内分泌器官肿瘤病理学和遗传学WHO分类》中甲状腺肿瘤分类，2017年7月，第四版《内分泌器官肿瘤WHO分类》出版。与旧版相比，新版甲状腺肿瘤WHO分类主要在以下几个方面进行了修订：透明变梁状肿瘤ICD-O编码由0变为1；增加三类交界性甲状腺滤泡性肿瘤；甲状腺滤泡上皮细胞起源的高分化癌（乳头状癌和滤泡癌）亚型的更新；嗜酸细胞肿瘤从滤泡性肿瘤中独立出来；异位胸腺瘤ICD-O编码由1变为3等，并对部分概念及诊断标准细化及规范化，解决实际病理诊断中的问题。

关键词：甲状腺肿瘤病理学

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Real-world data on ALK rearrangement test in Chinese advanced non-small cell lung cancer(RATICAL):a nationwide multicenter retrospective study

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Cancer Communications 2024年第9期44卷 992-1004页

作者： Lin Li Wencai Li ChunyanWu Yanfeng Xi Lei Guo Yuan Ji Lili Jiang Ji Li jingping yun Gang Chen Yuan Li Yueping Liu DianbinMu Yuchen Han Leina Sun Qingxin Xia Xiaodong Teng Nanying Che WeiWu Xueshan Qiu Chao Liu Xiaochu Yan Daiqiang Li Zhihong Zhang ZheWang Yujun Li ZhengWang Lingchuan Guo Xiu Nie Jingshu Geng Jianhua Zhou Jianming Ying Department of Pathology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking UnionMedical CollegeBeijingP.R.China Department of Pathology the First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanP.R.China Department of Pathology Shanghai Pulmonary HospitalSchool of MedicineTongji UniversityShanghaiP.R.China Department of Pathology Cancer Hospital Affiliated to Shanxi Medical UniversityShanxi Province Cancer HospitalShanxi Hospital Affiliated to Cancer HospitalChinese Academy of Medical SciencesTaiyuanShanxiP.R.China Department of Pathology Zhongshan HospitalFudan UniversityShanghaiP.R.China Department of Pathology West China Hospital of Sichuan UniversityChengduSichuanP.R.China Department of Pathology Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingP.R.China Department of Pathology Sun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhouGuangdongP.R.China Department of Pathology Fujian Cancer HospitalFujian Medical University Cancer HospitalFuzhouFujianP.R.China Department of Pathology Department of OncologyFudan University Cancer CenterShanghaiMedical College of Fudan UniversityShanghaiP.R.China Department of Pathology The Fourth Hospital of Hebei Medical UniversityShijiazhuangHebeiP.R.China Department of Pathology Shandong Cancer HospitalJinanShandongP.R.China Department of Pathology Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiP.R.China Department of Pathology Tianjin Medical University Cancer Institute and HospitalTianjinP.R.China Department of Pathology the Affiliated Cancer Hospital of Zhengzhou UniversityHenan Provincial Cancer HospitalZhengzhouHenanP.R.China Department of Pathology the First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhouZhejiangP.R.China Department of Pathology Bei

Background:Anaplastic lymphoma kinase(ALK)test in advanced non-small cell lung cancer(NSCLC)can help physicians provide target therapies for patients harboring ALK gene *** study aimed to investigate the real-world test patterns and positive rates of ALK gene rearrangements in advanced ***:In this real-world study(ChiCTR2000030266),patientswith advanced NSCLC who underwent an ALK rearrangement test in 30 medical centers in China between October 1,2018 and December 31,2019 were retrospectively *** training was conducted before the study was *** controls were performed at participating centers using immunohistochemistry(IHC)-*** positive ALK gene rearrangement rate and consistency rate were *** associated clinicopathological characteristics of ALK gene rearrangement were investigated as ***:The overall ALK gene rearrangement rate was 6.7%in 23,689 patients with advanced NSCLC and 8.2%in 17,436 patients with advanced lung *** quality control analysis of IHC-VENTANA-D5F3 revealed an intrahospital consistency rate of 98.2%(879/895)and an inter-hospital consistency rate of 99.2%(646/651).IHC-VENTANA-D5F3 was used in 53.6%,real-time polymerase chain reaction(RT-PCR)in 25.4%,next-generation sequencing(NGS)in 18.3%,and fluorescence in-situ hybridization(FISH)in 15.9%in the adenocarcinoma *** specimens tested with multiple methods,the consistency rates confirmed by IHC-VENTANA-D5F3 were 98.0%(822/839)for FISH,98.7%(1,222/1,238)forNGS,and 91.3%(146/160)for *** overall ALK gene rearrangement rateswere higher in females,patients of≤35 years old,never smokers,tumor cellularity of>50,and metastatic specimens used for testing in the total NSCLC population and adenocarcinoma subgroup(all P<0.05).Conclusions:This study highlights the real-world variability and challenges of ALK test in advanced NSCLC,demonstrating a predominant use of IHCVENTANA-D5F3 with high co

关键词： anaplastic lymphoma kinase diagnosis gene fusion non-small cell lung cancer

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Sex-dependent alterations in extracellular vesicles linking chronic spinal cord injury to brain neuroinflammation and neurodegeneration

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Neural Regeneration Research 2025年第2期20卷 483-484页

作者： yun Li Junfang Wu Department of Anesthesiology&Shock Trauma and Anesthesiology Research(STAR)CenterUniversity of Maryland School of MedicineBaltimoreMDUSA

Traumatic spinal cord injury(SCI)is a devastating exogenous injury with long-lasting consequences and a leading cause of death and disability *** in assistive technology,rehabilitative interventions,and the ability to identify and intervene in secondary conditions have significantly increased the long-term survival rate of SCI patients,with some people even living well into their seventh or eighth *** survival changes have led neurotrauma researchers to examine how SCI interacts with brain *** health and epidemiological data showed that patients with long-term SCI can have a lower life expectancy and quality of life,along with a higher risk of comorbidities and complications.

关键词： alterations inflammation injury

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IoT Empowered Early Warning of Transmission Line Galloping Based on Integrated Optical Fiber Sensing and Weather Forecast Time Series Data

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Computers, Materials & Continua 2025年第1期82卷 1171-1192页

作者： Zhe Li yun Liang Jinyu Wang Yang Gao State Grid Henan Electric Power Company Electric Power Scientific Research Institute State Grid Henan Electric Power CompanyZhengzhou450052China

Iced transmission line galloping poses a significant threat to the safety and reliability of power systems,leading directly to line tripping,disconnections,and power *** early warning methods of iced transmission line galloping suffer from issues such as reliance on a single data source,neglect of irregular time series,and lack of attention-based closed-loop feedback,resulting in high rates of missed and false *** address these challenges,we propose an Internet of Things(IoT)empowered early warning method of transmission line galloping that integrates time series data from optical fiber sensing and weather ***,the method applies a primary adaptive weighted fusion to the IoT empowered optical fiber real-time sensing data and weather forecast data,followed by a secondary fusion based on a Back Propagation(BP)neural network,and uses the K-medoids algorithm for clustering the fused ***,an adaptive irregular time series perception adjustment module is introduced into the traditional Gated Recurrent Unit(GRU)network,and closed-loop feedback based on attentionmechanism is employed to update network parameters through gradient feedback of the loss function,enabling closed-loop training and time series data prediction of the GRU network ***,considering various types of prediction data and the duration of icing,an iced transmission line galloping risk coefficient is established,and warnings are categorized based on this ***,using an IoT-driven realistic dataset of iced transmission line galloping,the effectiveness of the proposed method is validated through multi-dimensional simulation scenarios.

关键词： Optical fiber sensing multi-source data fusion early warning of galloping time series data IoT adaptive weighted learning irregular time series perception closed-loop attention mechanism

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Coordinated Control Strategy of New Energy Power Generation System with Hybrid Energy Storage Unit

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Energy Engineering 2025年第1期122卷 167-184页

作者： yun Zhang ZifenHan Biao Tian Ning Chen Yi Fan School of Mechano-Electronic Engineering Xidian UniversityXi’an710071China Electric Power Control Center State Grid Gansu Electric Power CompanyLanzhou730030China Electric Power Control Center State Grid Gansu Electric Power Company Zhangye Power Supply BranchZhangye734000China

The new energy power generation is becoming increasingly important in the power *** as photovoltaic power generation has become a research hotspot,however,due to the characteristics of light radiation changes,photovoltaic power generation is unstable and random,resulting in a low utilization rate and directly affecting the stability of the power *** solve this problem,this paper proposes a coordinated control strategy for a newenergy power generation system with a hybrid energy storage unit based on the lithium iron phosphate-supercapacitor hybrid energy storage ***,the variational mode decomposition algorithm is used to separate the high and low frequencies of the power signal,which is conducive to the rapid and accurate suppression of the power fluctuation of the energy storage ***,the fuzzy control algorithm is introduced to balance the power between energy *** this paper,the actual data is used for simulation,and the simulation results show that the strategy realizes the effective suppression of the bus voltage fluctuation and the accurate control of the internal state of the energy storage unit,effectively avoiding problems such as overshoot and over-discharge,and can significantly improve the stability of the photovoltaic power generation systemand the stability of the Direct Current *** is of great significance to promote the development of collaborative control technology for photovoltaic hybrid energy storage units.

关键词： Photovoltaic power suppression hybrid energy storage unit variationalmodal decomposition fuzzy control power distribution control

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Mitophagy in acute central nervous system injuries:regulatory mechanisms and therapeutic potentials

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Neural Regeneration Research 2025年第9期20卷 2437-2453页

作者： Siyi Xu Junqiu Jia Rui Mao Xiang Cao yun Xu Department of Neurology Nanjing Drum Tower HospitalClinical College of Jiangsu UniversityNanjingJiangsu ProvinceChina Department of Neurology Nanjing Drum Tower HospitalChinese Academy of Medical Science&Peking Union Medical CollegeNanjingJiangsu ProvinceChina Department of Neurology Nanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing UniversityNanjingJiangsu ProvinceChina State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases Nanjing UniversityNanjingJiangsu ProvinceChina Jiangsu Key Laboratory for Molecular Medicine Medical School of Nanjing UniversityNanjingJiangsu ProvinceChina Nanjing Neurology Medical Center NanjingJiangsu ProvinceChina

Acute central nervous system injuries,including ischemic stro ke,intracerebral hemorrhage,subarachnoid hemorrhage,traumatic brain injury,and spinal co rd injury,are a major global health *** optimal therapies and improving the long-term neurological functions of patients with acute central nervous system injuries are urgent *** are susceptible to damage after acute central nervous system injury,and this leads to the release of toxic levels of reactive oxygen species,which induce cell ***,a selective form of autophagy,is crucial in eliminating redundant or damaged mitochondria during these *** evidence has highlighted the significant role of mitophagy in acute central nervous system *** this review,we provide a comprehensive overview of the process,classification,and related mechanisms of *** also highlight the recent developments in research into the role of mitophagy in various acute central nervous system injuries and drug therapies that regulate *** the final section of this review,we emphasize the potential for treating these disorders by focusing on mitophagy and suggest future research paths in this area.

关键词： autophagy intracerebral hemorrhage ischemic stroke mitochondria mitochondrial biogenesis mitochondrial quality control mitophagy spinal cord injury subarachnoid hemorrhage traumatic brain injury

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The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 86-96页

作者： Qianyun yun Wen-Biao Han Yi-Yang Guo He Wang Minghui Du Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Shanghai Jiao Tong University School of Astronomy and Space Science University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou) University of Chinese Academy of Sciences Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu Province Key Laboratory of Quantum Theory and Applications of MoE Lanzhou University Institute of Theoretical Physics & Research Center of Gravitation Lanzhou University International Centre for Theoretical Physics Asia-Pacific (ICTP-AP) University of Chinese Academy of Sciences (UCAS) Center for Gravitational Wave Experiment National Microgravity Laboratory Institute of Mechanics Chinese Academy of Sciences

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EMRIs). This task is particularly challenging because EMRI signals are complex, lengthy, and faint. In this work, we introduce a2-layer convolutional neural network(CNN) approach to detect EMRI signals for space-borne detectors, achieving a true positive rate(TPR) of 96.9% at a 1% false positive rate(FPR) for signal-to-noise ratio(SNR) from 50 to 100. Especially, the key intrinsic parameters of EMRIs such as the mass, spin of the supermassive black hole(SMBH) and the initial eccentricity of the orbit can also be inferred directly by employing a neural network. The mass and spin of the SMBH can be determined at 99% and 92% respectively. This will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform model. This study underscores the potential of deep learning methods in EMRI data analysis, enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

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Enantioselective reductive conjugate alkenylation of α,β-enones with keto alkenyl acetates by nickel catalysis

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Science China Chemistry 2025年第1期68卷 157-162页

作者： Rong-De He yun-Lei Luo Qiu-Quan Pan Qi-Wei Yao Xing-Zhong Shu State Key Laboratory of Applied Organic Chemistry College of Chemistry and Chemical Engineering Lanzhou University

Reactions involving alkenyl acetates offer cost-effective and environmentally friendly routes for alkene synthesis, yet their asymmetric variant remains elusive. Concurrently, asymmetric conjugate alkenylation predominantly centered on nucleophilic addition using alkenyl–M. This manuscript presents an asymmetric reductive conjugate alkenylation reaction involving alkenyl acetates. The method facilitates the enantioselective addition of keto alkenyl groups to α,β-enones, resulting in the formation of unsaturated diketones—a class of useful structural motifs that are challenging to access otherwise. The use of electron-rich Pyroxy ligand is essential for achieving both high reaction efficiency and enantioselectivity.

关键词： nickel alkenylation asymmetric cross-coupling alkenes

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