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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 *** 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 *** In this retrospective study,214 HCC patients with cirrhosis who underwent curative hepatectomy were *** feature selection was conducted using the least absolute shrinkage and selection operator and recursive feature elimination ***-radiologic features were selected through univariate and multivariate logistic regression *** machine learning methods were used for model comparison,aiming to identify the optimal *** model’s performance was evaluated using the receiver operating characteristic curve[area under the curve(AUC)],calibration,and decision curve ***,the Kaplan-Meier(K-M)curve was used to evaluate the stratification effect of the model on patient *** 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 *** the training cohort,this model attained an AUC of 0.844,while in the validation cohort,it achieved a value of *** K-M curves illustrated that the combined model not only facilitated risk stratification but also exhibited significant discriminatory ability concerning patients’*** The combined model,integrating both radiomics and clinical-radiologic characteristics,exhibited excellent performance in HCC with *** 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

Experiments and numerical study on heat transfer of moist silica aerogel composites at high temperatures

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Energy Storage and Saving 2024年第2期3卷 73-86页

作者： Dong Li Zhan-Wei Cao xiang-qian Xie Xin Chen Ya-Ling He Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education School of Energy and Power EngineeringXi’an Jiaotong UniversityXi’an710049China Science and Technology on Space Physics Laboratory China Academy of Launch Vehicle TechnologyBeijing100076China

Silica aerogel composites have promising applications in high-temperature heat storage ***,the impact of high temperatures and moisture on their insulation performance remains *** reveal the influences of high temperature and moisture absorption property on the heat transfer of silica aerogel composites,an experimental and numerical study was conducted to explore the micromorphology,thermophysical parameters,moisture absorption characteristics,and temperature *** service temperature limit of the silica aerogel composite has been *** have conducted for the thermal conductivity,specific heat capacity,thermal diffusivity,specific surface area,density,porosity,and pore size distribution of the heated silica aerogel composite(at temperatures of 600,800,1,000,1,100 and 1,200℃).The moisture absorption characteristic curve at 20℃ has been *** testing of silica aerogel composites under varying heating temperatures and moisture content has been ***,a numerical method has been developed to calculate the temperature curve of moist silica aerogel *** insulation performance of silica aerogel composite with varying moisture contents depends on the game between thermal conductivity and latent *** with the negative effect of the moisture content on insulation performance,the positive influence of moisture evaporation and heat absorption is dominant in situations involving temperatures higher than the phase transition temperature.

关键词： Heat storage insulation Silica aerogel composite Thermal protection Lattice Boltzmann model

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 ***: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 *** study used 1220 images of three types of anterior ocular segments of the pterygium provided by the Eye Hospital of Nanjing Medical *** classification models—VGG16,ResNet50,MobileNetV2,and EfficientNetB7—were trained on the same dataset for *** 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 ***: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 *** 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%,***: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

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) *** 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 *** 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 *** show that O_(3) concentrations greatly increased as nitrogen dioxide(NO_(2))concentrations decreased in the *** to the active photochemical formations,O_(3) became the dominant pollutant that affected human health during the *** 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 *** results underscore the great necessity of changing the assessment paradigm of pollution control from using concentration-based methods to using risk-based *** 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

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 *** 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 *** try to explain the intensity difference by using a recombination model based on the quantum-orbit theory and by analyzing the ionization ***,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

跨区域环境规制降低碳排放的政策效应分析——基于长三角协同发展政策的准自然实验

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长江流域资源与环境 2024年第8期33卷 1715-1727页

作者：张向前刘祺上海应用技术大学美丽中国与生态文明研究院上海201418 上海应用技术大学人文学院上海201418

分权制度下环境规制成为地区间流动性资源争夺的博弈手段,跨区域环境规制则因缺乏强制约束能力其效用与作用机制仍有待验证。选取区域协同发展政策这一跨区域环境规制,基于2007~2019年我国273个地级市面板数据,选用双向固定模型倾向得... 详细信息

分权制度下环境规制成为地区间流动性资源争夺的博弈手段,跨区域环境规制则因缺乏强制约束能力其效用与作用机制仍有待验证。选取区域协同发展政策这一跨区域环境规制,基于2007~2019年我国273个地级市面板数据,选用双向固定模型倾向得分匹配后进行双重差分分析,实证检验了区域协同发展政策对碳排放的影响效应及作用机制。结果表明,区域协同发展政策显著促进了城市降低碳排放,且经过一系列稳健性检验后结论依旧成立。机制检验结果表明,区域协同发展政策能够通过鼓励不同城市之间的合作与协调,促进资源的优化配置和产业的升级转型和加大科技要素投入,促进低碳技术的研发和应用,提高能源利用效率来降低碳排放。异质性分析得出政策效果会随试点城市规模、财政水平异质性而产生差异,其中城市人口规模更大的城市在低碳产业发展、绿色技术应用等方面具有更强的竞争优势,财政支出水平更高的城市通过培育和引进先进的低碳技术,提供资金支持和激励措施,促进低碳产业的发展,并投入更多的资金用于基础设施建设,使区域协同发展政策能发挥更为明显的降低碳排放的作用。

关键词：区域协同城市降碳双重差分法准自然实验碳排放

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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高性能箱型复合结构增韧模型与优化计算

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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基于自抗扰控制器的无人艇航向自适应控制

船舶工程 2024年第5期46卷 103-109,119页

作者：向前李志俊武昌首义学院信息科学与工程学院武汉430064 武汉理工大学自动化学院武汉430070 武汉南华工业设备工程股份有限公司武汉430200

为了提高水面无人艇在外界干扰和自身运动状态变化等非线性及不确定因素下的航向控制精度,针对常规自抗扰控制(ADRC)在船舶航向控制中存在的参数整定难这一问题,提出将粒子群优化算法(PSO)与径向基函数神经网络(RBF)相结合的ADRC参数自... 详细信息

为了提高水面无人艇在外界干扰和自身运动状态变化等非线性及不确定因素下的航向控制精度,针对常规自抗扰控制(ADRC)在船舶航向控制中存在的参数整定难这一问题,提出将粒子群优化算法(PSO)与径向基函数神经网络(RBF)相结合的ADRC参数自适应整定和无人艇航向精确控制策略。设计一个RBF网络用于准实时无人艇运动模型建模。在此基础上,运用粒子群算法对无人艇航向ADRC控制器参数整定进行优化。仿真试验结果表明:设计的RBF-PSO-ADRC控制器在无人艇的航向控制中相比常规ADRC控制器和比例-积分-微分控制器(PID)控制器表现出更好的动态响应特性和稳定性,对未知扰动也具有较强的鲁棒性和抗干扰能力。RBF-PSO-ADRC控制器实现了复杂环境下ADRC控制器参数的自适应优化整定,这对于高精度的无人艇航向控制和航线跟踪具有一定实际意义,可为水面无人艇操纵设计提供有益参考。

关键词：无人艇航向控制粒子群优化 RBF网络自适应控制