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智慧医学(英文) 2023年第2期3卷 144-149页

作者： Yahan yang Ruiyang Li Yifan Xiang Duoru Lin anqi yan Wenben Chen Zhongwen Li Weiyi Lai Xiaohang Wu Cheng Wan Wei Bai Xiucheng Huang Qiang Li Wenrui Deng Xiyang Liu Yucong Lin Pisong yan Haotian Lin Chinese Association of Artificial Intelligence Medical Artificial Intelligence Branch of Guangdong Medical Association Zhongshan Ophthalmic Center Sun Yat-sen UniversityState Key Laboratory of OphthalmologyGuangzhouGuangdong 510623China Zhongshan School of Medicine Sun Yat-sen UniversityGuangzhouGuangdong 510080China Nanjing University of Aeronautics and Astronautics NanjingJiangsu 210016China Institute of Software Engineering School of Computer Science and TechnologyXidian UniversityXi’anShaanxi 710071China Cloud Intelligent Care Tech.Ltd. GuangzhouGuangdong 510115China Centre for Precision Medicine Sun Yat-sen UniversityGuangzhouGuangdong 510080China 不详

Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform criteria for medical data quality have yet to be established.Therefore,this review aimed to develop a standardized and detailed set of quality criteria for medical data collection,storage,annotation,and management related to medical AI.This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.

关键词： Artificial intelligence Big data Intelligent medicine Data collection Data storage Data annotation Data management

Recommendation on data collection and annotation of ocular appearance images in ptosis

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Intelligent Medicine 2023年第4期3卷 287-292页

作者： Jie Meng Binying Lin Dongmei Li Shiqi Hui Xuanwei Liang Xianchai Lin Zhen Mao Xingyi Li Zuohong Li Rongxin Chen Yahan yang Ruiyang Li anqi yan Haotian Lin Danping Huang Chinese Association of Artificial Intelligence,Medical Artificial IntelligenceBranch of Guangdong Medical Association Zhongshan Ophthalmic Center Sun Yat-sen UniversityState Key Laboratory of OphthalmologyGuangzhouGuangdong 510080China Beijing Tongren Eye Center Beijing Key Laboratory of Intraocular Tumor Diagnosis and TreatmentBeijing Ophthalmology&Visual Sciences Key LabMedicalArtificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information TechnologyBeijing Tongren HospitalCapital MedicalUniversityBeijing 100730China Zhongshan School of Medicine Sun Yat-sen UniversityGuangzhouGuangdong 510080China

Ptosis is a common ophthalmologic condition,and the diagnosis is primarily based on ocular appearance.Thediagnosis of such conditions can be improved using emerging technology such as artificial intelligence-basedmethods.However,unified data collection and labeling standards have not yet been established.This directlyimpacts the accuracy of ptosis diagnosis based on appearance alone.Therefore,in the present study,we aimedto establish a procedure to obtain and label images to devise a recommendation system for optimal recognitionof ptosis based on ocular appearances.This would help to standardize and facilitate data sharing and serve as aguideline for the development and improvisation of algorithms in artificial intelligence for ptosis.

关键词： Ptosis Ocular appearance image Annotation standard Artificial intelligence

Expert recommendations on collection and annotation of otoscopy images for intelligent medicine

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Intelligent Medicine 2022年第4期2卷 230-234页

作者： Yuexin Cai Junbo Zeng Liping Lan Suijun Chen Yongkang Ou Linqi Zeng Qintai yang Peng Li Yubin Chen Qi Li Hongzheng Zhang Fan Shu Guoping Chen Wenben Chen Yahan yang Ruiyang Li anqi yan Haotian Lin Yiqing Zheng Department of Otolaryngology Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhouGuangdong 510120China Shenshan Medical Center Sun Yat-sen Memorial HospitalSun Yat-sen UniversityShanweiGuangdong 516600Chin Zhongshan Ophthalmic Center Sun Yat-sen UniversityState Key Laboratory of OphthalmologyGuangzhouGuangdong 510623China Zhongshan School of Medicine Sun Yat-sen UniversityGuangzhouGuangdong 510080China Department of Otolaryngology Head and Neck Surgery The Third Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong 510630China Department of Otolaryngology-Head and Neck Surgery Nanfang HospitalSouth Medical UniversityGuangzhouGuangdong 510515China Department of Otolaryngology-Head&Neck Surgery Zhujiang HospitalSouth Medical UniversityGuangzhouGuangdong 510280China Department of Otolaryngology Zhongshan City People’s HospitalZhongshan Affiliated Hospital of Sun Yat-sen UniversityZhongshanGuangdong 528403China

Middle and outer ear diseases are common otological diseases worldwide.Otoscopy and otoendoscopy exami-nations are essential first steps in the evaluation of patients with otological diseases.Misdiagnosis often occurs when the doctor lacks experience in interpreting the results of otoscopy or otoendoscopy,leading to delays in treatment or complications.Using deep learning to process otoscopy images and developing otoscopic artificial-intelligence-based decision-making systems will become a significant trend in the future.However,the uneven quality of otoscopy images is among the major obstacles to development of such artificial intelligence systems,and no standardized process for data acquisition,and annotation of otoscopy images in intelligent medicine has yet been fully established.The standards for data storage and data management are unified with those of other specialties and are introduced in detail here.This expert recommendation criterion improved and standardized the collection and annotation procedures for otoscopy images and fills the current gap in otologic intelligent medicine;it would thus lay a solid foundation for the standardized collection,storage,and annotation of oto-scopy images and the application of training algorithms,and promote the development of automatic diagnosis and treatment for otological diseases.The full text introduced image collection(including patient preparation,equipment standards,and image storage),image annotation standards,and quality control.

关键词： Otoscopy image Intelligent medicine Annotation Collection

Expert recommendations on data collection and annotation of two dimensional ultrasound images in azoospermic males for evaluation of testicular spermatogenic function in intelligent medicine

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Intelligent Medicine 2022年第2期2卷 97-102页

作者： Wanling Huang Yifan Xiang Yahan yang Qing Tang Guangjian Liu Hong yang Erjiao Xu Huitong Lin Zhixing Zhang Zhe Ma Zhendong Li Ruiyang Li anqi yan Haotian Lin Zhu Wang Chinese Association of Artificial Intelligence Medical Artificial Intelligence Branch of the Guangdong Medical Association Department of Medical Ultrasonics Institute of Diagnostic and Interventional UltrasoundFirst Affiliated Hospital of Sun Yat-Sen UniversityGuangzhouGuangdong 510080China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-Sen UniversityGuangzhouGuangdong 510080China Department of Medical Ultrasound First Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong 510120China Department of Medical Ultrasonics Sixth Affiliated HospitalSun Yat-Sen UniversityShenzhen 510665China Department of Medical Ultrasound First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxi Zhuang Autonomous Region530021China Department of Medical Ultrasonics Eighth Affiliated HospitalSun Yat-Sen UniversityShenzhen 518033China Department of Medical Ultrasonics Seventh Affiliated HospitalSun Yat-Sen UniversityShenzhen 518107China NHC Key Laboratory of Male Reproduction and Genetics Guangdong Provincial Reproductive Science InstituteGuangdong Provincial Fertility HospitalGuangzhouGuangdong 510600China Department of Medical Ultrasonics First Affiliated Hospital of Shandong First Medical UniversityShandong Provincial Qianfoshan HospitalJinanShandong 250014China Department of Medical Ultrasonics Lanzhou University Second HospitalLanzhouGansu 730030China Zhongshan School of Medicine Sun Yat-Sen UniversityGuangzhouGuangdong 510080China 不详

Testicular two-dimensional ultrasound is a testing modality that is often used to evaluate azoospermia and other related diseases.With the continuous development of deep learning in recent years,the combination of deep learning and testicular ultrasound appears unstoppable despite a lack of relevant standards.One of the major problems associated with the digitization of ultrasound images is the uneven quality of data however,and a standardized data source and acquisition process has not yet been developed.Such a standard could fill the current gap,and establish acquisition criteria for ultrasound images of testes during the male reproductive period,including grayscale ultrasound,shear wave elastography,and contrast-enhanced ultrasound.By following these guidelines the quality of testicular ultrasound images would be improved and standardized,which would lay a solid foundation for the standardization of testicular ultrasound images,and assist automated evaluation of testicular spermatogenic function of whole testis in azoospermic males.

关键词： Ultrasound Azoopsermia Testicular spermatogenic function

Self-templating synthesis of biomass-based porous carbon nanotubes for energy storage and catalytic degradation applications

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Green Energy & Environment 2024年第3期9卷 584-595页

作者： Manman Xu Shiqi Fu Yukai Wen Wei Li Qiongfang Zhuo Haida Zhu Zhikeng Zheng Yuwen Chen anqi Wang Kai yan Research Centre for Eco-Environmental Engineering School of Environment and Civil EngineeringDongguan University of TechnologyDongguan523808China School of Environmental Science and Engineering Sun Yat-sen UniversityGuangzhou510275China

Dwindling energy sources and a worsening environment are huge global problems,and biomass wastes are an under-exploited source of material for both energy and material generation.Herein,self-template decoction dregs of Ganoderma lucidum-derived porous carbon nanotubes(ST-DDLGCs)were synthesized via a facile and scalable strategy in response to these challenges.ST-DDLGCs exhibited a large surface area(1731.51 m^(2)g^(-1))and high pore volume(0.76 cm^(3)g^(-1)),due to the interlacing tubular structures of precursors and extra-hierarchical porous structures on tube walls.In the ST-DDLGC/PMS system,the degradation efficiency of capecitabine(CAP)reached~97.3%within 120 min.Moreover,ST-DDLGCs displayed high catalytic activity over a wide pH range of 3–9,and strong anti-interference to these typical and ubiquitous anions in wastewater and natural water bodies(i.e.,H_(2)PO_(4)^(-),NO_(3)^(-),Cl^(-) and HCO_(3)^(-)),in which a ^(1)O_(2)-dominated oxidation was identified and non-radical mechanisms were deduced.Additionally,ST-DDLGC-based coin-type symmetrical supercapacitors exhibited outstanding electrochemical performance,with specific capacitances of up to 328.1 F g^(-1)at 0.5 A g^(-1),and cycling stability of up to 98.6%after 10,000 cycles at a current density of 2 A g^(-1).The superior properties of ST-DDLGCs could be attributed to the unique porous tubular structure,which facilitated mass transfer and presented numerous active sites.The results highlight ST-DDLGCs as a potential candidate for constructing inexpensive and advanced environmentally functional materials and energy storage devices.

关键词： Ganoderma lucidum residue Porous carbon nanotubes Self-template method Wastewater treatment Supercapacitor electrode

Petrogenesis of early Paleozoic granitoids in the North Qinling Orogen,Central China:Implications for crustal evolution in an accretionary orogen

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Geoscience Frontiers 2024年第2期15卷 183-201页

作者： Leran Hao Debin yang anqi Wang Yikang Quan Xiangyu yan Shuo Wang College of Earth Sciences Jilin UniversityChangchun 130061China Key Laboratory of Mineral Resources Evaluation in Northeast Asia(Jilin University) Ministry of Natural ResourcesChangchun 130061China

Accretionary orogens are sites of extensive continental crustal growth and modification.The mechanism by which mafic crust is transformed into silicic melts(i.e.,maturation of continental crust)is important for understanding the formation of the continental crust.The North Qinling Orogen(NQO)is a composite orogenic belt and contains an early Paleozoic accretion-dominated orogenic system,which is ideal for investigating continental crustal maturation.We obtained zircon and monazite U–Pb age and O isotope data,zircon Lu–Hf isotope data,and whole-rock major-and trace-element and Sr–Nd isotope data for early Paleozoic granitoids of the NQO.The granitoids are divided into three groups.Group 1 includes the Taiping tonalite(445±3 Ma),the Manziying syenogranite(445±2 Ma),and the Huoshenmiao granodiorite(436±2 Ma).The Taiping and Huoshenmiao plutons have relatively high SiO_(2)contents(68.64–71.67 wt.%)and Na_(2)O/K_(2)O ratios(1.15–4.19),with enrichments in Rb,Ba,Th,and U and depletions in Nb,Ta,P,and Ti,and they are geochemically similar to sodic arc magmas.The Manziying syenogranite is a peraluminous potassic granite with high K_(2)O contents(4.59–5.27 wt.%).Grantioids from Group 1 have similarly depleted Sr–Nd–Hf–O isotopic features(eHf[t]=+5.9 to+8.8;δ^(18)O=3.98‰–5.41‰),indicative of derivation via partial melting of oceanic arc crust,which suggests that partial melting of oceanic arc crust in a subduction system contributes to the generation of continental crust and causes its maturation.Group 2 consists of the Wuduoshan monzogranite(418±2 Ma)and the Sikeshu granodiorite(423±3 Ma).These plutons have relatively high SiO_(2)(65.59–72.06 wt.%),K_(2)O(3.26–4.79 wt.%),and Al2O3(14.65–16.12 wt.%)contents and Sr/Y(33–87)and(La/Yb)N(23–48)ratios.The Wuduoshan monzogranite has positive zircon eHf(t)(+0.4 to+3.1)and uniformδ^(18)O(6.38‰–8.07‰)values,but the Sikeshu granodiorite has more variable isotopic compositions(eHf[t]=-1.9 to+5.0;δ^(18)O=6.37‰–10.60‰).The Wuduoshan monzogranite and Sikeshu granodiorite have similar who

关键词： Zircon Hf-O isotopes Granite Continental crust Accretionary orogen

The Multiple Roles of Autophagy in Neural Function and Diseases

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Neuroscience Bulletin 2024年第3期40卷 363-382页

作者： yan-yan Li Zheng-Hong Qin Rui Sheng Department of Pharmacology and Laboratory of Aging and Nervous Diseases Jiangsu Key laboratory of Neuropsychiatric DiseasesCollege of Pharmaceutical Sciences of Soochow UniversitySuzhou 215123China

Autophagy involves the sequestration and delivery of cytoplasmic materials to lysosomes,where proteins,lipids,and organelles are degraded and recycled.According to the way the cytoplasmic components are engulfed,autophagy can be divided into macroautophagy,microautophagy,and chaperone-mediated autophagy.Recently,many studies have found that autophagy plays an important role in neurological diseases,including Alzheimer's disease,Parkinson's disease,Huntington's disease,neuronal excitotoxicity,and cerebral ischemia.Autophagy maintains cell homeostasis in the nervous system via degradation of misfolded proteins,elimination of damaged organelles,and regulation of apoptosis and inflammation.AMPK-mTOR,Beclin 1,TP53,endoplasmic reticulum stress,and other signal pathways are involved in the regulation of autophagy and can be used as potential therapeutic targets for neurological diseases.Here,we discuss the role,functions,and signal pathways of autophagy in neurological diseases,which will shed light on the pathogenic mechanisms of neurological diseases and suggest novel targets for therapies.

关键词： Autophagy Neurodegenerative diseases Cerebral ischemia AMPK mTOR Beclin 1 TP53 Endoplasmic reticulum stress

Advances of Electrochemical and Electrochemiluminescent Sensors Based on Covalent Organic Frameworks

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Nano-Micro Letters 2024年第2期16卷 395-422页

作者： Yue Cao Ru Wu yan‑yan Gao yang Zhou Jun‑Jie Zhu Key Laboratory for Organic Electronics and Information Displays(KLOEID)and Institute of Advanced Materials(IAM) Nanjing University of Posts and Telecommunications(NJUPT)Nanjing 210023People’s Republic of China State Key Laboratory of Analytical Chemistry for Life Science School of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210023People’s Republic of China

Covalent organic frameworks(COFs),a rapidly developing category of crystalline conjugated organic polymers,possess highly ordered structures,large specific surface areas,stable chemical properties,and tunable pore microenvironments.Since the first report of boroxine/boronate ester-linked COFs in 2005,COFs have rapidly gained popularity,showing important application prospects in various fields,such as sensing,catalysis,separation,and energy storage.Among them,COFs-based electrochemical(EC)sensors with upgraded analytical performance are arousing extensive interest.In this review,therefore,we summarize the basic properties and the general synthesis methods of COFs used in the field of electroanalytical chemistry,with special emphasis on their usages in the fabrication of chemical sensors,ions sensors,immunosensors,and aptasensors.Notably,the emerged COFs in the electrochemiluminescence(ECL)realm are thoroughly covered along with their preliminary applications.Additionally,final conclusions on state-of-the-art COFs are provided in terms of EC and ECL sensors,as well as challenges and prospects for extending and improving the research and applications of COFs in electroanalytical chemistry.

关键词： Covalent organic frameworks Electrochemistry Electrochemiluminescence Sensors

Exosome-encapsulated lncRNA HOTAIRM1 contributes to PM_(2.5)-aggravated COPD airway remodeling by enhancing myofibroblast differentiation

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Science China(Life Sciences) 2024年第5期67卷 970-985页

作者： Huaqi Guo Luo Fei Hengyi Yu yan Li yan Feng Shaowei Wu yan Wang The Ninth People’s Hospital of Shanghai Jiao Tong University School of Medicine Shanghai 200011China School of Public Health Shanghai Jiao Tong University School of MedicineShanghai 200020China Department of Occupational and Environmental Health Sciences School of Public HealthXi’an Jiao Tong University Health Science CenterXi’an 710049China

Emphysema,myofibroblast accumulation and airway remodeling can occur in the lungs due to exposure to atmospheric pollution,especially fine particulate matter(PM_(2.5)),leading to chronic obstructive pulmonary disease(COPD).Specifically,bronchial epithelium-fibroblast communication participates in airway remodeling,which results in COPD.An increasing number of studies are now being conducted on the role of exosome-mediated cell-cell communication in disease pathogenesis.Here,we investigated whether exosomes generated from bronchial epithelial cells could deliver information to normal stromal fibroblasts and provoke cellular responses,resulting in airway obstruction in COPD.We studied the mechanism of exosome-mediated intercellular communication between human bronchial epithelial(HBE) cells and primary lung fibroblasts(pLFs).We found that PM_(2.5)-induced HBE-derived exosomes promoted myofibroblast differentiation in pLFs.Then,the exosomal lncRNA expression profiles derived from PM_(2.5)-treated HBE cells and nontreated HBE cells were investigated using an Agilent Human LncRNA Array.Combining coculture assays and direct exosome treatment,we found that HBE cell-derived exosomal HOTAIRM1 facilitated the myofibroblast differentiation of pLFs.Surprisingly,we discovered that exosomal HOTAIRM1 enhanced p LF proliferation to secrete excessive collagen secretion,leading to airway obstruction by stimulating the TGF-β/SMAD3 signaling pathway.Significantly,PM_(2.5)reduced FEV1/FVC and FEV1 and increased the level of serum exosomal HOTAIRM1 in healthy people;moreover,serum exosomal HOTAIRM1 was associated with PM_(2.5)-related reductions in FEV1/FVC and FVC.These findings show that PM_(2.5)triggers alterations in exosome components and clarify that one of the paracrine mediators of myofibroblast differentiation is bronchial epithelial cell-derived HOTAIRM1,which has the potential to be an effective prevention and therapeutic target for PM_(2.5)-induced COPD.

关键词： PM2.5 exosomal lncRNAs HOTAIRM1 chronic obstructive pulmonary disease

Towards Data-Driving Multi-View Evaluation Framework for Scratch

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Tsinghua Science and Technology 2024年第2期29卷 517-528页

作者： Xiaolin Chai yan Sun yan Gao Department of Computer Science Beijing University of Posts and TelecommunicationBeijing 100876China Intellectual Property Institute Shandong Polytechnic CollegeJining 272067China

As one of the most popular visual programming languages,Scratch has a lot of evaluation around it.Reasonable evaluation can help programmers understand their projects better.At the same time,it can also provide a reference for them to browse other projects in the online community.Most of the existing evaluations on Scratch are carried from three perspectives:Computational Thinking(CT)ability,visual presentation aesthetics,and code quality.Among them,the assessment of CT and code quality is mainly carried out from the program script,while the evaluation of visual aesthetics is analyzed from the perspective of image sequences generated by project execution.The single-view evaluation focuses on the performance of a program in a certain aspect and is one-sided.In this paper,we propose a multi-view evaluation framework to integrate various evaluations using different policies.We quantitatively analyze the assessment of different views driven by data.Combined with overall evaluations that represent human opinions,we analyze their differences and connections.Through experiments,we determine the weights of different integration policies,the proposed multi-view evaluation method can generate evaluation results similar to human opinions.

关键词： Scratch Computational Thinking(CT) visual aesthetic static analysis integration policy machine learning