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Accurate prediction of myopic progression and high myopia by machine learning

Precision Clinical Medicine 2024年第1期7卷 14-20页

作者： Jiahui li Simiao Zeng Zhihuan li Jie Xu Zhuo Sun Jing Zhao meiyan li Zixing Zou Taihua Guan Jin Zeng Zhuang liu Wenchao Xiao Ran Wei Hanpei Miao Ian Ziyar Junxiong Huang Yuanxu Gao Yangfa Zeng Xing-Tao Zhou Kang Zhang Guangzhou Women and Children's Medical Center Guangzhou Medical UniversityGuangzhou 510120China Guangzhou National Laboratory Guangzhou 510o0oChina Zhuhai International Eye Center of the First Affliated Hospital of Faculty of Medicine Macao University of Science and TechnologyZhuhai 519000China Beijing Institute of Ophthalmology Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical UniversityBeijing 100069China Key Laboratory of Myopia Ministry of HealthShanghai Key Laboratory of Visual Impairment and RestorationDepartment of OphthalmologyEye InstituteEye and EarNoseand Throat HospitalFudan UniversityShanghai 200031China DongguanPeople's Hospital The First School of Clinical MedicinelSouthern Medical UniversityDongguan 523059China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangzhou 510060China Wenzhou Eye Hospital and Institute for Advanced Study on Eye Health and Diseases Wenzhou Medical UniversityWenzhou 32500oChina

Background Myopia is a leading cause of visual impairment in Asia and worldwide.However,accurately predicting the progression of myopia and the high risk of myopia remains a challenge.This study aims to develop a predictive model for the development of myopia.Methods We first retrospectively gathered 612530 medical records from five independent cohorts,encompassing 227543 patients ranging from infants to young adults.Subsequently,we developed a multivariate linear regression algorithm model to predict the progression of myopia and the risk of high myopia.Result The model to predict the progression of myopia achieved an R^(2) value of 0.964 vs a mean absolute error(MAE)of 0.119D[95%confidence interval(CI):0.119,1.146]in the internal validation set.It demonstrated strong generalizability,maintaining consistent performance across external validation sets:R^(2)=0.950 vs MAE=0.119D(95%CI:0.119,1.136)in validation study 1,R^(2)=0.950 vs MAE=0.121D(95%CI:0.121,1.144)in validation study 2,and R^(2)=0.806 vs MAE=−0.066D(95%CI:−0.066,0.569)in the Shanghai Children Myopia Study.In the Beijing Children Eye Study,the model achieved an R^(2) of 0.749 vs a MAE of 0.178D(95%CI:0.178,1.557).The model to predict the risk of high myopia achieved an area under the curve(AUC)of 0.99 in the internal validation set and consistently high area under the curve values of 0.99,0.99,0.96 and 0.99 in the respective external validation sets.Conclusion Our study demonstrates accurate prediction of myopia progression and risk of high myopia providing valuable insights for tailoring strategies to personalize and optimize the clinical management of myopia in children.

关键词： myopia progression machine learning prevention precision medicine

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Research on Driver’s Fatigue Detection Based on Information Fusion

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Computers, Materials & Continua 2024年第4期79卷 1039-1061页

作者： meiyan Zhang Boqi Zhao Jipu li Qisong Wang Dan liu Jinwei Sun Jingxiao liao Harbin Institute of Technology School of Instrument Science and EngineeringHarbin150036China Department of Industrial and Systems Engineering The Hong Kong Polytechnic UniversityHong Kong100872China

Driving fatigue is a physiological phenomenon that often occurs during driving.After the driver enters a fatigued state,the attentionis lax,the response is slow,and the ability todeal with emergencies is significantly reduced,which can easily cause traffic accidents.Therefore,studying driver fatigue detectionmethods is significant in ensuring safe driving.However,the fatigue state of actual drivers is easily interfered with by the external environment(glasses and light),which leads to many problems,such as weak reliability of fatigue driving detection.Moreover,fatigue is a slow process,first manifested in physiological signals and then reflected in human face images.To improve the accuracy and stability of fatigue detection,this paper proposed a driver fatigue detection method based on image information and physiological information,designed a fatigue driving detection device,built a simulation driving experiment platform,and collected facial as well as physiological information of drivers during driving.Finally,the effectiveness of the fatigue detection method was evaluated.Eye movement feature parameters and physiological signal features of drivers’fatigue levels were extracted.The driver fatigue detection model was trained to classify fatigue and non-fatigue states based on the extracted features.Accuracy rates of the image,electroencephalogram(EEG),and blood oxygen signals were 86%,82%,and 71%,separately.Information fusion theory was presented to facilitate the fatigue detection effect;the fatigue features were fused using multiple kernel learning and typical correlation analysis methods to increase the detection accuracy to 94%.It can be seen that the fatigue driving detectionmethod based onmulti-source feature fusion effectively detected driver fatigue state,and the accuracy rate was higher than that of a single information source.In summary,fatigue drivingmonitoring has broad development prospects and can be used in traffic accident prevention and wearable driver fatigue recognition.

关键词： Driving fatigue information fusion EEG blood oxygen

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Dual-targeting AAV9P1-mediated neuronal reprogramming in a mouse model of traumatic brain injury

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Neural Regeneration Research 2024年第3期19卷 629-635页

作者： Jingzhou liu Xin Xin Jiejie Sun Yueyue Fan Xun Zhou Wei Gong meiyan Yang Zhiping li Yuli Wang Yang Yang Chunsheng Gao State Key Laboratory of Toxicology and Medical Countermeasures Beijing Institute of Pharmacology and ToxicologyBeijingChina Academy of Medical Engineering and Translational Medicine Medical CollegeTianjin UniversityTianjinChina

Traumatic brain injury results in neuronal loss and glial scar formation.Replenishing neurons and eliminating the consequences of glial scar formation are essential for treating traumatic brain injury.Neuronal reprogramming is a promising strategy to convert glial scars to neural tissue.However,previous studies have reported inconsistent results.In this study,an AAV9P1 vector incorporating an astrocyte-targeting P1 peptide and glial fibrillary acidic protein promoter was used to achieve dual-targeting of astrocytes and the glial scar while minimizing off-target effects.The results demonstrate that AAV9P1 provides high selectivity of astrocytes and reactive astrocytes.Moreover,neuronal reprogramming was induced by downregulating the polypyrimidine tract-binding protein 1 gene via systemic administration of AAV9P1 in a mouse model of traumatic brain injury.In summary,this approach provides an improved gene delivery vehicle to study neuronal programming and evidence of its applications for traumatic brain injury.

关键词： AAV9P1 astrocytes astrocyte-to-neuron conversion GFAP promoter glial scar induced neurons neuronal reprogramming P1 peptide PTBP1 traumatic brain injury

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A“T.E.S.T.”hydrogel bioadhesive assisted by corneal cross-linking for in situ sutureless corneal repair

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Bioactive Materials 2023年第7期25卷 333-346页

作者： meiyan li Ruoyan Wei Chang liu Haowei Fang Weiming Yang Yunzhe Wang Yiyong Xian Kunxi Zhang Yong He Xingtao Zhou Department of Ophthalmology EYE&ENT Hospital of Fudan University ShanghaiChina NHC Key Laboratory of Myopia(Fudan University) ShanghaiChina State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhouChina Shanghai Research Center of Ophthalmology and Optometry ShanghaiChina Department of Ophthalmology Children’s Hospital of Fudan UniversityNational Children’s Medical CenterShanghaiChina Department of Polymer Materials School of Materials Science and EngineeringShanghai UniversityShanghaiChina

Corneal transplantation is an effective clinical treatment for corneal diseases,which,however,is limited by donor corneas.It is of great clinical value to develop bioadhesive corneal patches with functions of“Transparency”and“Epithelium&Stroma generation”,as well as“Suturelessness”and“Toughness”.To simultaneously meet the“T.E.S.T.”requirements,a light-curable hydrogel is designed based on methacryloylated gelatin(GelMA),Pluronic F127 diacrylate(F127DA)&Aldehyded Pluronic F127(AF127)co-assembled bi-functional micelles and collagen type I(COL I),combined with clinically applied corneal cross-linking(CXL)technology for repairing damaged cornea.The patch formed after 5 min of ultraviolet irradiation possesses transparent,highly tough,and strongly bio-adhesive performance.Multiple cross-linking makes the patch withstand deformation near 600%and exhibit a burst pressure larger than 400 mmHg,significantly higher than normal intraocular pressure(10-21 mmHg).Besides,the slower degradation than GelMA-F127DA&AF127 hydrogel without COL I makes hydrogel patch stable on stromal beds in vivo,supporting the regrowth of corneal epithelium and stroma.The hydrogel patch can replace deep corneal stromal defects and well bio-integrate into the corneal tissue in rabbit models within 4 weeks,showing great potential in surgeries for keratoconus and other corneal diseases by combining with CXL.

关键词： Tough hydrogel Bioadhesives Corneal patch CXL Sutureless repair

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Occurrence,distribution,and potential influencing factors of sewage sludge components derived from nine full-scale wastewater treatment plants of Beijing,China

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Journal of Environmental Sciences 2016年第7期28卷 233-239页

作者： Xu Wang meiyan li Junxin liu Jiuhui Qu Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Zhongheronghua Environmental Technology(Beijing)Co.Ltd. Beijing 100085China

Millions of tons of waste activated sludge（WAS） produced from biological wastewater treatment processes cause severe adverse environmental consequences. A better understanding of WAS composition is thus very critical for sustainable sludge management. In this work, the occurrence and distribution of several fundamental sludge constituents were explored in WAS samples from nine full-scale wastewater treatment plants（WWTPs） of Beijing, China. Among all the components investigated, active heterotrophic biomass was dominant in the samples（up to 9478 mg/L）, followed by endogenous residues（6736 mg/L）,extracellular polymeric substances（2088 mg/L）, and intracellular storage products（464 mg/L）among others. Moreover, significant differences（p 〈 0.05） were observed in composition profiles of sludge samples among the studied WWTPs. To identify the potential parameters affecting the variable fractions of sludge components, wastewater source as well as design and operational parameters of WWTPs were studied using statistical methods. The findings indicated that the component fraction of sewage sludge depends more on wastewater treatment alternatives than on wastewater characteristics among other parameters. A principal component analysis was conducted, which further indicated that there was a greater proportion of residual inert biomass in the sludge produced by the combined system of the conventional anaerobic/anoxic/oxic process and a membrane bioreactor. Additionally, a much longer solids retention time was also found to influence the sludge composition and induce an increase in both endogenous inert residues and extracellular polymeric substances in the sludge.

关键词： Wastewater treatment plant Waste activated sludge Sludge component Solids retention time Extracellular polymeric substances Principal component analysis

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Recent advances in small incision lenticule extraction(SMILE)-derived refractive lenticule preservation and clinical reuse

再生工程(英文)

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再生工程(英文) 2023年第2期4卷 103-121页

作者： Xiaojun Hu Ruoyan Wei Chang liu Yunzhe Wang Danjuan Yang ling Sun Fei Xia Shengtao liu meiyan li Xingtao Zhou Eye Institute and Department of Ophthalmology Eye&ENT HospitalFudan UniversityShanghai 200031China Key Laboratory of Myopia NHC Key Laboratory of Myopia(Fudan University)Chinese Academy of Medical SciencesShanghai 200031China Shanghai Research Center of Ophthalmology and Optometry China Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care China

Small incision lenticule extraction(SMILE)has become one of the mainstream refractive surgeries in recent years,with satisfactory efficacy,safety,and predictability.SMILE-derived refractive lenticule,the byproduct of the surgery,holds great potential in clinical practice given its easy access and good biocompatibility.Numerous studies have been published to describe its applications in refractive correction,corneal ectasia diseases,and corneal defects.The feasibility and safety were validated in both animal models and clinical studies.Moreover,the preservation method is also crucial for its further promotion and application.Novel techniques are also evaluated and applied in lenticule preservation.We covered the recent advances in the preservation of corneal stromal lenticules and their clinical reuse in this review.

关键词： Small incision lenticule extraction Refractive lenticule Preservation Clinical reuse

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Research Overview of Zhuang Medicine Fumigation Lotions

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Medicinal Plant 2024年第1期15卷 35-37页

作者： Bing QING Jiangcun WEI Fangmei li Xianyi SHI li LONG Xian PENG meiyan QIU Wen ZHONG Zujie QIN Guangxi International Zhuang Medical Hospital Nanning 530201China

At present,there is little research on the application of Zhuang medicine fumigation lotions in skin diseases,and there is no research on related preparation processes and quality standards.In this paper,the characteristics of its formulation and the research progress in skin diseases are reviewed,in order to deepen the understanding of Zhuang medicine fumigation lotions and provide a more detailed theoretical basis for its clinical research,development and application.

关键词： Zhuang medicine fumigation lotions Ilicis Rotundae Cortex Eiliae Herba Polygoni Perfoliati Herba Rhei Radix Et Rhizoma

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A SMOOTHING TRUST REGION METHOD FOR NCPS BASED ON THE SMOOTHING GENERAliZED FISCHER-BURMEISTER FUNCTION

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Journal of Computational Mathematics 2011年第3期29卷 261-286页

作者： Xuebin Wang Changfeng Ma meiyan li School of Mathematics and Computer Science Fujian Normal University Fuzhou 350007 China School of Mathematics and Computing Science Guilin University of Electronic Technology Guilin 5~100~ China

Based on a reformulation of the complementarity problem as a system of nonsmooth equations by using the generMized Fischer-Burmeister function, a smoothing trust re- gion Mgorithm with line search is proposed for solving general （not necessarily monotone） nonlinear complementarity problems. Global convergence and, under a nonsingularity assumption, local Q-superlinear/Q-quadratic convergence of the algorithm are established. In particular, it is proved that a unit step size is always accepted after a finite number of iterations. Numerical results also confirm the good theoretical properties of our approach.

关键词： Nonlinear complementarity problem Smoothing method Trust region method Global convergence Local superlinear convergence.

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Thin Layer Identification of Jiedu Shengxue Granules and Determination of Notoginsenoside R1 Content

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Medicinal Plant 2024年第1期15卷 71-74页

作者： Zhenying FU Bing QING Yinghong HUANG Xianyi SHI meiyan QIU Xian PENG Jiangcun WEI Fengzhen li Wen ZHONG Guangxi International Zhuang Medical Hospital Nanning 530201China

[Objectives]To establish the quality standard of hospital preparation Jiedu Shengxue granules.[Methods]Scleromitrion diffusum and Prunella vulgaris in Jiedu Shengxue granules were qualitatively identified by thin layer chromatography(TLC).A high performance liquid chromatography(HPLC)was established to determine the content of notoginsenoside R1 in the granule.[Results]The traditional Chinese medicinal materials in Jiedu Shengxue granules could be identified by TLC,and the characteristic spots were stable and clear.Notoginsenoside R1 had a good linear relationship in the range of 10.45-104.5μg/mL,with an average recovery of 98.52%and RSD=2.36%.[Conclusions]TLC and HPLC,as the quality control methods of Jiedu Shengxue granules,have high accuracy and good repeatability,which lays a foundation for the quality control of this mixture.

关键词： Jiedu Shengxue granules Thin layer identification Notoginsenoside R1 Quality standard

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胃底腺黏膜谱系肿瘤的研究现状及展望

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中华消化内镜杂志 2024年第2期41卷 160-164页

作者：刘美艳谢娇江传燊李达周福建医科大学福总临床医学院福州350025 解放军联勤保障部队第九○○医院消化内科福州350025

胃底腺黏膜谱系肿瘤是一类在组织病理学层面对胃底腺黏膜分化的上皮性肿瘤的疾病统称,可以分为泌酸腺腺瘤、胃底腺型胃癌、胃底腺黏膜型胃腺癌3型。目前关于胃底腺黏膜谱系肿瘤的针对性研究较少,在分类、诊断及治疗方面尚无明确规范。... 详细信息

胃底腺黏膜谱系肿瘤是一类在组织病理学层面对胃底腺黏膜分化的上皮性肿瘤的疾病统称,可以分为泌酸腺腺瘤、胃底腺型胃癌、胃底腺黏膜型胃腺癌3型。目前关于胃底腺黏膜谱系肿瘤的针对性研究较少,在分类、诊断及治疗方面尚无明确规范。就胃底腺黏膜谱系肿瘤的概念演化及分类、临床特点、内镜下表现、病理学特征、发病机制及治疗进行综述,以期提高胃底腺黏膜谱系肿瘤的诊疗水平。

关键词：胃肿瘤胃腺癌胃底腺型胃癌泌酸腺腺瘤胃底腺黏膜型胃腺癌胃底腺黏膜谱系肿瘤

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