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Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis

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World Journal of Gastroenterology 2024年第15期30卷 2128-2142页

作者： Gui-xiang qian Zi-Ling Xu Yong-Hai Li Jian-Lin Lu xiang-Yi Bu Ming-Tong Wei Wei-Dong Jia Department of Hepatic Surgery Anhui Provincial HospitalThe First Affiliated Hospital of USTCDivision of Life Science and MedicineUniversity of Science and Technology of ChinaHefei 230001Anhui ProvinceChina Department of Hepatic Surgery Anhui Provincial Hospital Affiliated to Anhui Medical UniversityAnhui Medical UniversityHefei 230001Anhui ProvinceChina Department of Anorectal Surgery the First People’s Hospital of HefeiHefei 230001Anhui ProvinceChina

BACKGROUND The prognosis for hepatocellular carcinoma(HCC)in the presence of cirrhosis is unfavourable,primarily attributable to the high incidence of recurrence.AIM To develop a machine learning model for predicting early recurrence(ER)of posthepatectomy HCC in patients with cirrhosis and to stratify patients’overall survival(OS)based on the predicted risk of recurrence.METHODS In this retrospective study,214 HCC patients with cirrhosis who underwent curative hepatectomy were examined.Radiomics feature selection was conducted using the least absolute shrinkage and selection operator and recursive feature elimination methods.Clinical-radiologic features were selected through univariate and multivariate logistic regression analyses.Five machine learning methods were used for model comparison,aiming to identify the optimal model.The model’s performance was evaluated using the receiver operating characteristic curve[area under the curve(AUC)],calibration,and decision curve analysis.Additionally,the Kaplan-Meier(K-M)curve was used to evaluate the stratification effect of the model on patient OS.RESULTS Within this study,the most effective predictive performance for ER of post-hepatectomy HCC in the background of cirrhosis was demonstrated by a model that integrated radiomics features and clinical-radiologic features.In the training cohort,this model attained an AUC of 0.844,while in the validation cohort,it achieved a value of 0.790.The K-M curves illustrated that the combined model not only facilitated risk stratification but also exhibited significant discriminatory ability concerning patients’OS.CONCLUSION The combined model,integrating both radiomics and clinical-radiologic characteristics,exhibited excellent performance in HCC with cirrhosis.The K-M curves assessing OS revealed statistically significant differences.

关键词： Machine learning Radiomics Hepatocellular carcinoma Cirrhosis Early recurrence Overall survival Computed tomography Prognosis Risk factor Delta-radiomics

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Net effect of air pollution controls on health risk in the Beijing-Tianjin-Hebei region during the 2022 winter Olympics and Paralympics

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Journal of Environmental Sciences 2024年第1期135卷 560-569页

作者： Changqing Lin Peter K.K.Louie Alexis K.H.Lau Jimmy C.H.Fung Zibing Yuan Minghui Tao Xuguo Zhang Md.Shakhaoat Hossain Chengcai Li xiang qian Lao Division of Environment and Sustainability The Hong Kong University of Science and TechnologyHong KongChina Environmental Protection Department Hong Kong Government SARHong KongChina Department of Civil and Environmental Engineering The Hong Kong University of Science and TechnologyHong KongChina Guangdong-Hongkong-Macao Joint Laboratory of Collaborative Innovation for Environmental Quality The Hong Kong University of Science and TechnologyHong KongChina Department of Mathematics The Hong Kong University of Science and TechnologyHong KongChina School of Environment and Energy South China University of TechnologyGuangzhou 510006China Hubei Key Laboratory of Critical Zone Evolution School of Geography and Information EngineeringChina University of GeosciencesWuhan 430074China Department of Public Health and Informatics Jahangirnagar UniversityDhaka 1342Bangladesh Department of Atmospheric and Oceanic Sciences School of PhysicsPeking UniversityBeijing 100871China Jockey Club School of Public Health and Primary Care The Chinese University of Hong KongHong KongChina

Due to the non-linearity in ozone(O_(3))formation,reducing the emission of nitrogen oxides(NO_(x))may increase O_(3) concentration.Given the counteractive O_(3) response to NO_(x) reduction,overall impact of air pollution controls can be ambiguous when the assessments focus on the changes in pollutant concentrations.In this study,a risk-based method was used to gauge the net effect of air pollution controls on mortality risk in the Beijing–Tianjin–Hebei(BTH)region during the 2022 Winter Olympics and Paralympics(WOP).This mega-event presents a unique opportunity to investigate the efficacy of deep cuts in pollutant emissions.Results show that O_(3) concentrations greatly increased as nitrogen dioxide(NO_(2))concentrations decreased in the BTH.Due to the active photochemical formations,O_(3) became the dominant pollutant that affected human health during the WOP.Despite the substantial O_(3) increases,the health benefits of NO_(2) reductions overwhelmed the adverse health effects of O_(3) increases in most regions of the BTH(at 81 out of 112 stations).After considering the impacts of particulate matter,the integrated health risk of air pollution mixtures declined almost everywhere in the BTH.Our results underscore the great necessity of changing the assessment paradigm of pollution control from using concentration-based methods to using risk-based methods.Together with the carbon neutrality policy,stringent control of NO_(x)emission from combustion sources is a promising way to achieve synergistic control solutions for air pollution and climate change.

关键词： Ozone Nitrogen dioxide Health risk Carbon neutrality Mega-events

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Gamma/Hadron Separation Method for the HADAR Experiment

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Research in Astronomy and Astrophysics 2024年第3期24卷 70-74页

作者： Yang-Zhao Ren Tian-Lu Chen You-Liang Feng Dan-Zeng Luo-Bu Yi-Qing Guo Cheng Liu Qi Gao Mao-Yuan Liu xiang-Li qian Ya-Ping Wang Zi-Hao Zhang Xin-Long Li Qing-Yuan Hou Heng-Jiao Liu Qing-qian Zhou Shan-Jie Shu The Key Laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of Sciences University of Chinese Academy of Sciences School of Intelligent Engineering Shandong Management University

Ground-based arrays of imaging atmospheric Cherenkov telescopes(IACTs)are the most sensitiveγ-ray detectors for energies of approximately 100 Ge V and above.One such IACT is the High Altitude Detection of Astronomical Radiation(HADAR)experiment,which uses a large aperture refractive water lens system to capture atmospheric Cherenkov photons(i.e.,the imaging atmospheric Cherenkov technique).The telescope array has a low threshold energy and large field of view,and can continuously scan the area of the sky being observed,which is conducive to monitoring and promptly responding to transient phenomena.The process ofγ-hadron separation is essential in very-high-energy(>30 Ge V)γ-ray astronomy and is a key factor for the successful utilization of IACTs.In this study,Monte Carlo simulations were carried out to model the response of cosmic rays within the HADAR detectors.By analyzing the Hillas parameters and the distance between the event core and the telescope,the distinction between air showers initiated byγ-rays and those initiated by cosmic rays was determined.Additionally,a Quality Factor was introduced to assess the telescope’s ability to suppress the background and to provide a more effective characterization of its performance.

关键词： astroparticle physics-telescopes-methods data analysis

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Generating attosecond pulses with controllable polarization from cyclic H_(3)^(2+) molecules by bichromatic circular fields

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Chinese Physics B 2024年第2期33卷 305-310页

作者：张思琪张冰闫博姜向前孙秀冬 School of Physics Harbin Institute of TechnologyHarbin 150001China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuan 030006China

We investigate the polarization properties of harmonics from the cyclic H_(3)^(2+) molecular ions in tailored bichromatic counter-rotating circularly polarized(BCCP)fields by solving the time-dependent Schrödinger equation.The allowed harmonics and their helicities are associated with the symmetry compatibility of the field-target systems,and large intensity difference between adjacent harmonics with opposite helicities appears in a wide spectral range when the BCCP field is at certain rotation angles.We try to explain the intensity difference by using a recombination model based on the quantum-orbit theory and by analyzing the ionization pathways.Moreover,to synthesize attosecond pulse trains with tunable polarization,the intensity difference is manipulated by introducing a seed XUV field,and by changing the relative amplitude ratio as well as the helicity of BCCP fields.

关键词： high-order harmonic generation attosecond pulse multi-center interference

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马克思生态休闲思想及其对中国式现代化的启示

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中国地质大学学报（社会科学版） 2024年第2期24卷 1-9页

作者：于萍马湘芊天津大学马克思主义学院天津300350 渤海大学马克思主义学院辽宁锦州121013

休闲是人的一种基本生活方式,同时也是人的自由全面发展的重要维度。马克思对共产主义休闲思想的论述富含了深刻的生态意蕴,构建了一个人与自然和谐共生的生态休闲样态。其中,生产力高度发展下自由时间的积极利用是共产主义社会实现生... 详细信息

休闲是人的一种基本生活方式,同时也是人的自由全面发展的重要维度。马克思对共产主义休闲思想的论述富含了深刻的生态意蕴,构建了一个人与自然和谐共生的生态休闲样态。其中,生产力高度发展下自由时间的积极利用是共产主义社会实现生态休闲的首要条件,“人类同自身和解”以及“人类与自然和解”相统一基础上的劳动和休闲的统一是共产主义社会实现生态休闲的必要条件,而共产主义社会实现生态休闲最终旨归于人的自由全面发展。马克思共产主义生态休闲思想为构建人与自然和谐共生的中国式现代化提供了有益的生态启示。

关键词：马克思生态休闲共产主义中国式现代化

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Intelligent diagnostic model for pterygium by combining attention mechanism and MobileNetV2

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International Journal of Ophthalmology(English edition) 2024年第7期17卷 1184-1192页

作者： Mao-Nian Wu Kai He Yi-Bei Yu Bo Zheng Shao-Jun Zhu xiang-qian Hong Wen-Qun Xi Zhe Zhang School of Information Engineering Huzhou UniversityHuzhou 313000Zhejiang ProvinceChina Zhejiang Province Key Laboratory of Smart Management and Application of Modern Agricultural Resources Huzhou UniversityHuzhou 313000Zhejiang ProvinceChina School of Mathematical Information Shaoxing UniversityShaoxing 312000Zhejiang ProvinceChina Shenzhen Eye Institute Shenzhen Eye HospitalJinan UniversityShenzhen 518040Guangdong ProvinceChina

AIM:To evaluate the application of an intelligent diagnostic model for pterygium.METHODS:For intelligent diagnosis of pterygium,the attention mechanisms—SENet,ECANet,CBAM,and Self-Attention—were fused with the lightweight MobileNetV2 model structure to construct a tri-classification model.The study used 1220 images of three types of anterior ocular segments of the pterygium provided by the Eye Hospital of Nanjing Medical University.Conventional classification models—VGG16,ResNet50,MobileNetV2,and EfficientNetB7—were trained on the same dataset for comparison.To evaluate model performance in terms of accuracy,Kappa value,test time,sensitivity,specificity,the area under curve(AUC),and visual heat map,470 test images of the anterior segment of the pterygium were used.RESULTS:The accuracy of the MobileNetV2+Self-Attention model with 281 MB in model size was 92.77%,and the Kappa value of the model was 88.92%.The testing time using the model was 9ms/image in the server and 138ms/image in the local computer.The sensitivity,specificity,and AUC for the diagnosis of pterygium using normal anterior segment images were 99.47%,100%,and 100%,respectively;using anterior segment images in the observation period were 88.30%,95.32%,and 96.70%,respectively;and using the anterior segment images in the surgery period were 88.18%,94.44%,and 97.30%,respectively.CONCLUSION:The developed model is lightweight and can be used not only for detection but also for assessing the severity of pterygium.

关键词： deep learning attention mechanism pterygium intelligent diagnosis

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高性能箱型复合结构增韧模型与优化计算

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工程力学 2024年第S1期41卷 38-49页

作者：喻江胡少伟范向前陆俊水科学与水工程国际联合研究中心江苏南京210029 南京水利科学研究院江苏南京210024 郑州大学水利与土木工程学院河南郑州450001

为了深入揭示高性能箱型复合结构受力机理并有效提升结构整体性能,通过定义四种混凝土翼板模式开展高性能箱型复合结构增韧模型理论研究。通过建立剪力滞翘曲位移模型和界面滑移模式,推导出考虑剪力滞行为与界面滑移相互影响的控制微分... 详细信息

为了深入揭示高性能箱型复合结构受力机理并有效提升结构整体性能,通过定义四种混凝土翼板模式开展高性能箱型复合结构增韧模型理论研究。通过建立剪力滞翘曲位移模型和界面滑移模式,推导出考虑剪力滞行为与界面滑移相互影响的控制微分方程,求得在均布荷载作用下的增韧模型理论解析解,进一步以界面滑移量、剪力滞系数、混凝土材料为韧性指标,对提出的增韧模型进行优化计算分析表明:II型增韧模型受剪力滞影响程度仅为0.04%~0.05%,混凝土材料用量节约35.00%,为四种模型中基于剪力滞与滑移耦合行为的最优高性能箱型复合结构增韧模型,便于为水利、土木工程韧性指标设计提供技术支撑。

关键词：高性能复合结构增韧模型韧性指标优化计算

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Application of deep learning methods combined with physical background in wide field of view imaging atmospheric Cherenkov telescopes

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Nuclear Science and Techniques 2024年第4期35卷 208-220页

作者： Ao-Yan Cheng Hao Cai Shi Chen Tian-Lu Chen xiang Dong You-Liang Feng Qi Gao Quan-Bu Gou Yi-Qing Guo Hong-Bo Hu Ming-Ming Kang Hai-Jin Li Chen Liu Mao-Yuan Liu Wei Liu Fang-Sheng Min Chu-Cheng Pan Bing-qiang Qiao xiang-Li qian Hui-Ying Sun Yu-Chang Sun Ao-Bo Wang Xu Wang Zhen Wang Guang-Guang Xin Yu-Hua Yao qiang Yuan Yi Zhang School of Physics and Technology Wuhan UniversityWuhan 430072China School of Physics and Astronomy Yunnan UniversityKunming 650091China Ministry of Education The Key Laboratory of Cosmic Rays(Tibet University)Lhasa 850000China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences 19 A Yuquan RoadShijingshan DistrictBeijing 100049China College of Physics Sichuan UniversityChengdu 610064China School of Intelligent Engineering Shandong Management UniversityJinan 250357China Tsung‑Dao Lee Institute Shanghai Jiao Tong UniversityShanghai 200240China Suzhou Aerospace Information Research Institute Suzhou 215123China College of Physics Chongqing UniversityNo.55 Daxuecheng South RoadHigh‑tech DistrictChongqing 401331China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210008China

The High Altitude Detection of Astronomical Radiation(HADAR)experiment,which was constructed in Tibet,China,combines the wide-angle advantages of traditional EAS array detectors with the high-sensitivity advantages of focused Cherenkov detectors.Its objective is to observe transient sources such as gamma-ray bursts and the counterparts of gravitational waves.This study aims to utilize the latest AI technology to enhance the sensitivity of HADAR experiments.Training datasets and models with distinctive creativity were constructed by incorporating the relevant physical theories for various applications.These models can determine the type,energy,and direction of the incident particles after careful design.We obtained a background identification accuracy of 98.6%,a relative energy reconstruction error of 10.0%,and an angular resolution of 0.22°in a test dataset at 10 TeV.These findings demonstrate the significant potential for enhancing the precision and dependability of detector data analysis in astrophysical research.By using deep learning techniques,the HADAR experiment’s observational sensitivity to the Crab Nebula has surpassed that of MAGIC and H.E.S.S.at energies below 0.5 TeV and remains competitive with conventional narrow-field Cherenkov telescopes at higher energies.In addition,our experiment offers a new approach for dealing with strongly connected,scattered data.

关键词： VHE gamma-ray astronomy HADAR Deep learning Convolutional neural networks

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从“腐草为萤”谈到上古汉语中的耕元通转

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四川职业技术学院学报 2024年第1期34卷 134-138页

作者：向倩西南大学汉语言文献研究所重庆北碚400715

《黄帝内经·素问》王冰注文中有“腐草化为萤”一句,在其他文献中记载为“腐草为蠲、腐草为蚈”等,本文从此句在各文献中所记载的异文入手,梳理耕元两部的语音通转关系,并结合传世文献和出土文献材料试作补证。

关键词：腐草为萤耕元通转语音关系

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前蛋白转化酶枯草溶菌素kexin9型在血栓形成中的作用

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中华心血管病杂志 2024年第2期52卷 215-219页

作者：种姗母光妍向倩崔一民北京大学第一医院药学部北京100034

前蛋白转化酶枯草溶菌素kexin9型(PCSK9)抑制剂类药物的疗效主要来自其降低低密度脂蛋白胆固醇的作用,但也有越来越多的研究表明PCSK9还可通过改变凝血瀑布和血小板功能影响血栓形成过程。PCSK9通过直接和间接形式激活氧化型低密度脂蛋... 详细信息

前蛋白转化酶枯草溶菌素kexin9型(PCSK9)抑制剂类药物的疗效主要来自其降低低密度脂蛋白胆固醇的作用,但也有越来越多的研究表明PCSK9还可通过改变凝血瀑布和血小板功能影响血栓形成过程。PCSK9通过直接和间接形式激活氧化型低密度脂蛋白受体(LOX-1)、CD36和NAD氧化酶等通路提高血小板反应性,同时还参与血管内皮损伤、炎症负荷和凝血因子调节过程促进血栓发生。该文总结了PCSK9参与血栓形成的证据,为PCSK9抑制剂的进一步临床应用提供启发。

关键词：前蛋白转化酶血小板血栓

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