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Image format pipeline and instrument diagram recognition method based on deep learning

Biomimetic Intelligence & Robotics 2024年第1期4卷 36-44页

作者： Guanqun Su Shuai Zhao Tao li Shengyong liu yaqi li Guanglong Zhao Zhongtao li Shandong Qingniao IIoT Co. ltd.Jinan 250014China Jinan Housing and Urban-Rural Development Bureau Jinan 250012China State Grid Shandong Electric Extrahigh Voltage Company Jinan 250018China School of Information Science and Engineering University of JinanJinan 250022China

In this study,we proposed a recognition method based on deep artificial neural networks to identify various elements in pipelines and instrumentation diagrams(P&ID)in image formats,such as symbols,texts,and pipelines.Presently,the P&ID image format is recognized manually,and there is a problem with a high recognition error rate;therefore,automation of the above process is an important issue in the processing plant industry.The China National Offshore Petrochemical Engineering Co.provided the image set used in this study,which contains 51 P&ID drawings in the PDF.We converted the PDF P&ID drawings to PNG P&IDs with an image size of 8410×5940.In addition,we used labeling software to annotate the images,divided the dataset into training and test sets in a 3:1 ratio,and deployed a deep neural network for recognition.The method proposed in this study is divided into three steps.The first step segments the images and recognizes symbols using YOLOv5+SE.The second step determines text regions using character region awareness for text detection,and performs character recognition within the text region using the optical character recognition technique.The third step is pipeline recognition using YOLOv5+SE.The symbol recognition accuracy was 94.52%,and the recall rate was 93.27%.The recognition accuracy in the text positioning stage was 97.26%and the recall rate was 90.27%.The recognition accuracy in the character recognition stage was 90.03%and the recall rate was 91.87%.The pipeline identification accuracy was 92.9%,and the recall rate was 90.36%.

关键词： Deep learning Image processing Piping and instrumentation Object recognition Pipeline recognition

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A Transient-Pressure-Based Numerical Approach for Interlayer Identification in Sand Reservoirs

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Fluid Dynamics & Materials Processing 2024年第3期20卷 641-659页

作者： Hao Luo Haibo Deng Honglin Xiao Shaoyang Geng Fu Hou Gang Luo yaqi li Tight Oil and Gas Exploration and Development Project Department PetroChina Southwest Oil and Gas Field CompanyChengdu610051China Energy College Chengdu University of TechnologyChengdu610059China

Almost all sandstone reservoirs contain interlayers. The identification and characterization of these interlayers iscritical for minimizing the uncertainty associated with oilfield development and improving oil and gas recovery.Identifying interlayers outside wells using identification methods based on logging data and machine learning isdifficult and seismic-based identification techniques are expensive. Herein, a numerical model based on seepageand well-testing theories is introduced to identify interlayers using transient pressure data. The proposed modelrelies on the open-source MATLAB Reservoir Simulation Toolbox. The effects of the interlayer thickness, position,and width on the pressure response are thoroughly investigated. A procedure for inverting interlayer parametersin the reservoir using the bottom-hole pressure is also proposed. This method uses only transient pressuredata during well testing and can effectively identify the interlayer distribution near the wellbore at an extremelylow cost. The reliability of the model is verified using effective oilfield examples.

关键词： Sand reservoir interlayer identification transient pressure analysis numerical well test

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Synergistic application of molecular docking and machine learning for improved binding pose

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National Science Open 2024年第2期3卷 36-45页

作者： yaqi li Hongrui lin He Yang Yannan Yuan Rongfeng Zou Gengmo Zhou linfeng Zhang Hang Zheng College of life Sciences Hunan Normal UniversityChangsha 410006China DP Technology Beijing 100089China Gaoling School of Artificial Intelligence Remin University of ChinaBeijing 100872China AI for Science Institute Beijing 100080China

Accurate prediction of protein-ligand complex structures is a crucial step in structure-based drug design.Traditional molecular docking methods exhibit limitations in terms of accuracy and sampling space,while relying on machine-learning approaches may lead to invalid conformations.In this study,we propose a novel strategy that combines molecular docking and machine learning methods.Firstly,the protein-ligand binding poses are predicted using a deep learning model.Subsequently,position-restricted docking on predicted binding poses is performed using Uni-Dock,generating physically constrained and valid binding poses.Finally,the binding poses are re-scored and ranked using machine learning scoring functions.This strategy harnesses the predictive power of machine learning and the physical constraints advantage of molecular docking.Evaluation experiments on multiple datasets demonstrate that,compared to using molecular docking or machine learning methods alone,our proposed strategy can significantly improve the success rate and accuracy of protein-ligand complex structure predictions.

关键词： binding pose molecular docking machine learning machine learning scoring function

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Investigation of multi-step fast charging protocol and aging mechanism for commercial NMC/graphite lithium-ion batteries

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Journal of Energy Chemistry 2023年第5期80卷 237-246,I0006页

作者： yaqi li Jia Guo Kjeld Pedersen Leonid Gurevich Daniel-Ioan Stroe Department of Materials and Production Aalborg UniversityAalborg 9220Denmark Department of Energy Aalborg UniversityAalborg 9220Denmark

Fast charging is considered a promising protocol for raising the charging efficiency of electric vehicles.However,high currents applied to lithium-ion(li-ion)batteries inevitably accelerate the degradation and shorten their lifetime.This work designs a multi-step fast-charging method to extend the lifetime of liNi0.5Co0.2Mn0.3O2(NMC)/graphite li-ion batteries based on the studies of half cells and investigates the aging mechanisms for different charging methods.The degradation has been studied from both full cell behaviour and materials perspectives through a combination of non-destructive diagnostic methods and post-mortem analysis.In the proposed multi-step charging protocol,the state-of-charge(SOC)profile is subdivided into five ranges,and the charging current is set differently for different SOC ranges.One of the designed multi-step fast charging protocols is shown to allow for a 200 full equivalent cycles longer lifetime as compared to the standard charging method,while the charging time is reduced by 20%.From the incremental capacity analysis and electrical impedance spectroscopy,the loss of active materials and lithium inventory on the electrodes,as well as an increase in internal resistance for the designed multistep constant-current-constant-voltage(MCCCV)protocol have been found to be significantly lower than for the standard charging method.Post-mortem analysis shows that cells aged by the designed MCCCV fast charging protocol exhibit less graphite exfoliation and crystallization damage,as well as a reduced solid electrolyte interphase(SEI)layer growth on the anode,leading to a lower Rseiresistance and extended lifetime.

关键词： Fast-charging lithium-ion battery Aging mechanism Electrode

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Understanding the mechanism of capacity increase during early cycling of commercial NMC/graphite lithium-ion batteries

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Journal of Energy Chemistry 2022年第11期31卷 34-44,I0003页

作者： Jia Guo yaqi li Jinhao Meng Kjeld Pedersen Leonid Gurevich Daniel-Ioan Stroe AAU Energy Aalborg UniversityAalborg9220Denmark Department of Materials and Production Aalborg UniversityAalborg 9220Denmark College of Electrical Engineering Sichuan UniversityChengdu 610065SichuanChina

A capacity increase is often observed in the early stage of li-ion battery cycling.This study explores the phenomena involved in the capacity increase from the full cell,electrodes,and materials perspective through a combination of non-destructive diagnostic methods in a full cell and post-mortem analysis in a coin cell.The results show an increase of 1%initial capacity for the battery aged at 100%depth of discharge(DOD)and 45℃.Furthermore,large DODs or high temperatures accelerate the capacity increase.From the incremental capacity and differential voltage(IC-DV)analysis,we concluded that the increased capacity in a full cell originates from the graphite anode.Furthermore,graphite/li coin cells show an increased capacity for larger DODs and a decreased capacity for lower DODs,thus in agreement with the full cell results.Post-mortem analysis results show that a larger DOD enlarges the graphite dspace and separates the graphite layer structure,facilitating the li+diffusion,hence increasing the battery capacity.

关键词： Capacity increasing lithium-ion battery Full cell Coin cell Graphite anode

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Ferroptosis molecular inducers:A future direction for malignant tumor chemotherapy

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BIOCELL 2022年第7期46卷 1599-1611页

作者： ZIQIAN WANG yaqi li DONGYANG WANG YINGQIANG SHEN State Key Laboratory of Oral Diseases Chengdu610041China West China School of Stomatology Sichuan UniversityChengdu610041China National Clinical Research Center for Oral Diseases Chengdu610041China Chinese Academy of Medical Sciences Research Unit of Oral Medicine of Carcinogenesis and Management Chengdu610041China West China Hospital of Stomatology Sichuan UniversityChengdu610041China

Iron-dependent ferroptosis is a form of cell death dependent on iron levels.Cells that undergo ferroptosis have glutathione(GSH)deficiency,reduced Glutathione peroxidase-4(GPX4)activity and intracellular lipid peroxidation,Mitochondria,lysosomes and many signal pathways are involved in the regulation of ferroptosis.More importantly,many tumor cells resistant to other cell death methods exhibit sensitivity to ferroptosis.Moreover,over recent years,a number of ferroptosis-induced drugs have been recommended for the treatment of malignant tumors.Therefore,the study of ferroptosis is of great significance for future cancer treatments.In this review,we discussed the metabolic process of ferroptosis,the role of different organelles,the typical signaling pathways involved in ferroptosis,as well as natural and synthetic compounds that can induce ferroptosis,aiming to point out new conceptual avenues for utilizing ferroptosis in future cancer treatments.

关键词： Ferroptosis Cancer Organelle Pathways Ferroptosis-induced drugs

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Elodexanthones A—J, Isoprenylated Xanthone Derivatives with Diverse Skeletons and Bioactivities from Hypericum elodeoides

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Chinese Journal of Chemistry 2022年第24期40卷 2939-2946页

作者： Yanbing Mu yaqi li Qiji li Wenjun Xu Yunpeng Sun Siyuan Wang Letian Cui lingyi Kong Jun Luo State Key Laboratory of Naturals Medicine and Jiangsu Key Laboratory of Bioactive Natural Product Research School of Traditional Chinese PharmacyChina Pharmaceutical University24 Tong Jia XiangNanjingJiangsu210009 China

Elodexanthones A—J (1—10), two pairs of rearranged isoprenylated xanthone enantiomers with an unprecedent 6/6/5/6 tetracyclic core (1—2) along with seven new isoprenylated xanthones (3—9) and a pair of phenylpropanoid xanthones (10), were purified and enantio-separated from the whole plant of Hypericum elodeoides. Their structures including absolute configurations were characterized by the comprehensive analysis of NMR, HRESIMS, NMR calculations, and ECD calculations. Through Bayer-Villiger oxidation, Claisen condensation and electrophilic addition, the rearranged skeletons of elodexanthones A—B (1—2) were generated from isoprenylated xanthone precursors. The bioactivities evaluation exhibited that compounds 3, 5, 8—10 showed anti-inflammatory activity with the IC_(50) values in the range of 9.53—34.39 μmol/L, and compounds 3—7, and 9 showed notable α-glucosidase inhibitory activity (IC_(50): 6.02—257.11 μmol/L).

关键词： Hypericum eldeoides Isoprenylated xanthones Structure elucidation Biological activity Inflammatory

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早发性结直肠癌的诊治进展

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中华胃肠外科杂志 2024年第5期27卷 441-446页

作者：李雅琪李心翔复旦大学附属肿瘤医院大肠外二科、复旦大学上海医学院肿瘤学系上海200032

近年来,早发性结直肠癌(EOCRC)的发病率持续上升,但其发病机制尚不清楚。EOCRC的临床特征和分子病理学特征不同于晚发性结直肠癌,但目前两者治疗并无差别,尚缺乏关于EOCRC针对性的筛查及诊治指南。本文总结了EOCRC患者的流行病学特点、... 详细信息

近年来,早发性结直肠癌(EOCRC)的发病率持续上升,但其发病机制尚不清楚。EOCRC的临床特征和分子病理学特征不同于晚发性结直肠癌,但目前两者治疗并无差别,尚缺乏关于EOCRC针对性的筛查及诊治指南。本文总结了EOCRC患者的流行病学特点、危险因素、临床特征、分子病理特征、发生发展机制及预防筛查策略的研究进展,以期为EOCRC的诊治提供理论依据。

关键词：结直肠肿瘤,早发性流行病学危险因素临床特征分子特征

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Mechanisms of Immune Tolerance and Inflammation via Gonadal Steroid Hormones in Preterm Birth

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Maternal-Fetal Medicine 2023年第4期5卷 229-237页

作者： Yongmei Shen yaqi li Jiasong Cao Wen li Qimei lin Jianxi Wang Zhuo Wei Ying Chang Tianjin Key Laboratory of Human Development and Reproductive Regulation Tianjin Central Hospital of Gynecology Obstetrics and NanKai University Maternity HospitalTianjin 300100China School of Clinical Medicine Tianjin Medical UniversityTianjin 300070China Biological Sample Resource Sharing Center Tianjin First Center HospitalTianjin 300192China

In 2019,preterm births(PTB)accounted for approximately 0.66 million deaths globally.PTB is also associated with a significantly higher risk of mortality and long-term complications for newborns.Long-term studies associated several factors,including disruption of immune tolerance and inflammation,with PTB.However,the pathogenesis of PTB remains unclear.Gonadal steroid hormones are critical for pregnancy maintenance and regulation of immune and inflammatory responses.However,it is not clear how unbalanced gonadal steroid hormones,such as imbalanced estrogen/androgen or estrogen/progesterone contribute to PTB.In this review,we discuss how gonadal steroid hormones mediate dysfunction in immune tolerance and inflammatory responses,which are known to promote the occurrence of PTB,and provide insight into PTB prediction.

关键词： Gonadal steroid hormones Immunity tolerance Inflammation Premature birth

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Modification and application of Fe_(3)O_(4) nanozymes in analytical chemistry:A review

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Chinese Chemical Letters 2023年第5期34卷 46-56页

作者： Jiahe Ju Yitong Chen Zhiqiang liu Cheng Huang yaqi li Dezhao Kong Wei Shen Sheng Tang School of Environmental and Chemical Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China School of Grain Science and Technology Jiangsu University of Science and TechnologyZhenjiang 212003China

In recent years,Fe_(3)O_(4)nanomaterials have received much attention in analytical chemistry due to their excellent magnetic and peroxidase-like activity.As the catalytic characteristics of Fe_(3)O_(4)nanomaterials is similar to those of horseradish peroxidase(HRP),Fe_(3)O_(4)nanomaterials are also used as peroxidase mimics and have achieved a certain development in many fields based on latest research results.To improve the stability and catalytic ability of simple Fe_(3)O_(4)nanomaterials,various modification strategies of Fe_(3)O_(4)nanomaterials have been developed.The recent advances of these strategies have been presented and discussed.In addition,this paper introduces the application of Fe_(3)O_(4)nanozymes in the detection of food and industrial pollutants,as well as in the field of biosafety.

关键词： Fe_(3)O_(4)nanomaterials Nanozyme Peroxidase-like activity Modification Application

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