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Journal of Traditional Chinese Medicine 2021年第4期41卷 650-656页

作者： chen jiayang FENG Li Department of Traditional Chinese Medicine National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China

OBJECTIVE:To review mechanisms of the resistance to epidermal growth factor receptor tyrosine kinase inhibitors(EGFR-TKIs)in the treatment of non-small cell lung cancer and the reversal of this resistance by traditional Chinese herbal medicines(CHMs).METHODS:Searching China National Knowledge Infrastructure Database,Wanfang Database,China Science and Technology Journal Database,Pub Med and Embase for related ***:T790 M mutation,MET amplification,C797 S mutation,Inactivation of PTEN gene expression and Epithelial-mesenchymal transition(EMT)are the main mechanisms of the resistance to *** may reverse the resistance by inhibiting MET activation,inhibiting PI3K/AKT pathways,regulating apoptosis and P-glycoprotein(P-gp).CONCLUSION:Many resistance mechanisms of EGFR-TKIs in the treatment of non-small cell lung cancer still need to be *** have great research potential in reversing the resistance to EGFR-TKIs.

关键词： carcinoma non-small-cell lung ErbB receptors drug resistance herbal medicine

Optimization of heat source side technical scheme of combined heat and water system based on a coal-fired power plant

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Building Simulation 2022年第8期15卷 1455-1473页

作者： Xiaolin Yang Zhaoyang Liu jiayang chen Ying Kong Wen Zheng Jianjun Xia Building Energy Research Center School of ArchitectureTsinghua UniversityBeijing 100084China

Recovering the waste heat(WH)of a power plant can conserve energy and reduce *** have proposed utilizing the WH of power plants in a combined heat and water(CHW)system,which is considered an economical,energy-saving,and environment-friendly way to integrate water and heat supply into long-distance transportation in urban areas of northern ***,to date,a detailed design of the case on the heat source side of the CHW has not been ***,in this study,the heat source side of a CHW system was divided into two cases:a single-generator set and a double-generator set,and both cases were *** parameters of a multi-effect desalination(MED)process were examined;the optimal number of evaporation stages during the MED process was 12,and the optimal heat source temperature during the first stage was ***,by matching the extraction and exhaust steam flows,the WH of the exhaust steam in the heating season was finally ***,under each case optimal conditions,energy,exergy,and cost were *** results showed that the exergy efficiency in the heating season for each case was approximately 50%,whereas that in the non-heating season was approximately 3.5%.The economy and water quality of the single-generator case were better than those of the double-generator ***,the absorption heat pump required in the single-generator case is difficult to realize because it operates under two working conditions.

关键词： waste heat of power plant-combined heat and water seawater desalination optimal case thermal economic analysis

Heavy Metal Emission Characteristics of Urban Road Runoff

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Journal of Environmental & Earth Sciences 2020年第1期2卷 14-20页

作者： Xintuo chen chengyue Lai Yibin YuanJia She Yiyao Wang jiayang chen Zhaoli Wang Ke Zhong Institute of Water Environment Research Chengdu Research Academy of Environmental Protection ScienceChengduChina Environmental Monitoring and Analysis Laboratory Chengdu Research Academy of Environmental Protection ScienceChengduChina Institute of Model Research and Application Chengdu Research Academy of Environmental Protection ScienceChengduChina Institute of Watershed Research Chengdu Research Academy of Environmental Protection ScienceChengduChina chengdu Experimental Primary School ChengduChina

Pavement runoff sampling points were set up on the main roads of chengdu *** rainfall-runoff events from July to September in 2017 were sampled by synchronous observation of rainfall,runoff and *** concentration changes of copper,lead,zinc,chromium and cadmium in the runoff process were monitored,and the pollution emission regularity and initial scouring effect were *** results show that the emission regularity of pavement runoff pollution is closely related to rainfall characteristics and pollutant occurrence,and the concentration of dissolved heavy metals reaches its peak at the initial stage of *** peak time of particulate heavy metal concentration lagged slightly behind that of rainfall *** is a big difference between the strength of initial scouring degree and dissolved heavy metals the stronger the initial scouring degree of total heavy metals,the weaker the dissolved heavy *** pavement runoff in the early stage of rainfall is an effective means to control heavy metal pollution.

关键词： Heavy Metal Pavement runoff Emission characteristics Flush effect Pollutant

A STUDY ON FORMAL MODEL INTEGRATION

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Journal of Electronics(China) 2006年第5期23卷 758-762页

作者： Wang jiayang chen Songqiao Luo An College of Information Science and Engineering Centrai South University Changsha 410083 China

Model integration is an important section of the model management research area. The paper puts forward a formalization representation of model, and presents some concepts, such as the compound model re- lation, the composite model and so on. Additionally, the existence of model integration is also analyzed in de- tail and several sufficient conditions are proved.

关键词： Formal model Multi-repositories Model integration

物质性视阈下的“技术媒介”:论基特勒的后人文主义电影理论

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北京电影学院学报 2023年第9期 35-44页

作者：陈家洋河海大学公共管理学院新闻传播学系

作为媒介物质性研究的代表性理论家,基特勒将电影视作“技术媒介”,以技术—身体或电影—感知作为其电影论述的主脉络。在此脉络下,“人”作为先验的主体,被经验的身体所取代。从文学—电影演替的角度,基特勒认为,作为记录和存储媒介的... 详细信息

作为媒介物质性研究的代表性理论家,基特勒将电影视作“技术媒介”,以技术—身体或电影—感知作为其电影论述的主脉络。在此脉络下,“人”作为先验的主体,被经验的身体所取代。从文学—电影演替的角度,基特勒认为,作为记录和存储媒介的电影将文学中的自我意象还原至物质层面,作为幻觉媒介的电影则以特效技术将文学中的奇幻场景物质化。所有这些,都意味着人的主体性的消解,体现出鲜明的后人文主义色彩。

关键词：基特勒电影理论媒介物质性后人文主义

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推荐算法与流媒体影视的算法文化

电影艺术 2021年第3期 153-160页

作者：陈家洋河海大学公共管理学院

流媒体影视平台上的推荐算法使传统影视类型被分解、重组,"微类型"得以形成。影视内容所包含的公共话语需要通过数据和算法才能折射出来,这体现为"热播""排行"等算法。推荐算法重新界定了"受众",大众传媒时代基于解释范式的受众认识论... 详细信息

流媒体影视平台上的推荐算法使传统影视类型被分解、重组,"微类型"得以形成。影视内容所包含的公共话语需要通过数据和算法才能折射出来,这体现为"热播""排行"等算法。推荐算法重新界定了"受众",大众传媒时代基于解释范式的受众认识论被算法时代基于行为范式的受众认识论所取代,基于人口学对受众的分类,其社会学理论基础,已被完全摒弃。所有这一切,都体现出数学原则对美学原则、数理逻辑对影视文化的接管与改造,这正是算法文化的鲜明体现。

关键词：推荐算法流媒体影视算法文化受众

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“游民”形象与新历史小说中的革命叙事

江苏社会科学 2011年第3期 177-181页

作者：陈家洋河海大学公共管理学院讲师 210098

在具体的革命实践中,"游民"问题颇受关注;但在文学作品中,"游民"形象却长期缺席。在这样的背景下,"游民"形象在新历史小说中的大量出现,就具有一定的思想史意义。新历史小说中的革命叙事凸显出"游民"的暴力行为及其在革命中的破坏性,这... 详细信息

在具体的革命实践中,"游民"问题颇受关注;但在文学作品中,"游民"形象却长期缺席。在这样的背景下,"游民"形象在新历史小说中的大量出现,就具有一定的思想史意义。新历史小说中的革命叙事凸显出"游民"的暴力行为及其在革命中的破坏性,这意味着作家重新回到了文化批判的立场上。

关键词：游民新历史小说文化批判

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高精度激波捕捉格式的性能分析

北京航空航天大学学报 2014年第8期40卷 1085-1089页

作者：屈峰阎超于剑陈嘉阳北京航空航天大学国家计算流体实验室北京100191

在数值模拟激波-湍流干扰问题时,为了精确模拟湍流脉动的小尺度结构,数值格式应尽量减小自身的数值耗散.但是为了稳定、无震荡地捕捉激波,数值格式又必须具有一定程度的数值耗散.基于上述这2种相互矛盾的要求,采用无黏泰勒格林涡、可压... 详细信息

在数值模拟激波-湍流干扰问题时,为了精确模拟湍流脉动的小尺度结构,数值格式应尽量减小自身的数值耗散.但是为了稳定、无震荡地捕捉激波,数值格式又必须具有一定程度的数值耗散.基于上述这2种相互矛盾的要求,采用无黏泰勒格林涡、可压缩湍流等经典算例对目前广受好评的几种高精度格式进行了系统地对比.一系列的计算分析表明,当前工程中广泛应用的高精度格式虽然都能一定程度地满足上述2种要求,但与理想目标仍有较大的差距.

关键词：高阶格式数值耗散激波捕捉鲁棒性可压缩湍流

国外纪录片对“一带一路”建设的媒介再现研究

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江西师范大学学报（哲学社会科学版） 2021年第3期54卷 73-80页

作者：陈家洋杨紫涵河海大学公共管理学院江苏南京211100

国外纪录片对“一带一路”建设的媒介再现主要采取了“经济扩张框架”与“合作发展框架”。这两种框架的建构逻辑可以基于历史语境、创作者的身份以及纪录片的创作规律予以观照。今后应增强“对话”意识,加强中华传统文化中“和”的思... 详细信息

国外纪录片对“一带一路”建设的媒介再现主要采取了“经济扩张框架”与“合作发展框架”。这两种框架的建构逻辑可以基于历史语境、创作者的身份以及纪录片的创作规律予以观照。今后应增强“对话”意识,加强中华传统文化中“和”的思想的传播,利用纪录片的媒介特性增强“一带一路”沿线民众对共同体的认同等,从而更有效地推动“一带一路”对外传播。

关键词：纪录片一带一路阐释模式再现框架

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang jiayang Hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity