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Extensive prediction of drug response in mutation-subtype-specific LUAD with machine learning approach

Oncology Research 2024年第2期32卷 409-419页

作者： KEGANG JIA YAWEI WANG qi cao YOUYU WANG Department of Thoracic Surgery Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduChina School of Medicine University of Electronic Science and Technology of ChinaChengduChina Department of Assisted Reproductive Medicine Sichuan Provincial Academy of Medical Sciences&Sichuan Provincial People’s HospitalChengduChina

Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death *** failure in lung cancer(LUAD)is heavily influenced by drug *** challenge stems from the diverse cell populations within the tumor,each having unique genetic,epigenetic,and phenotypic *** variations lead to varied therapeutic responses,thereby contributing to tumor relapse and disease ***:The Genomics of Drug Sensitivity in Cancer(GDSC)database was used in this investigation to obtain the mRNA expression dataset,genomic mutation profile,and drug sensitivity information of *** Learning(ML)methods,including Random Forest(RF),Artificial Neurol Network(ANN),and Support Vector Machine(SVM),were used to predict the response status of each compound based on the mRNA and mutation characteristics determined using statistical *** most suitable method for each drug was proposed by comparing the prediction accuracy of different ML methods,and the selected mRNA and mutation characteristics were identified as molecular features for the drug-responsive cancer ***,the prognostic influence of molecular features on the mutational subtype of LUAD in publicly available ***:Our analyses yielded 1,564 gene features and 45 mutational features for 46 *** the ML approach to predict the drug response for each medication revealed an upstanding performance for SVM in predicting Afuresertib drug response(area under the curve[AUC]0.875)using CIT,GAS2L3,STAG3L3,ATP2B4-mut,and IL15RA-mut as molecular ***,the ANN algorithm using 9 mRNA characteristics demonstrated the highest prediction performance(AUC 0.780)in Gefitinib with ***:This work extensively investigated the mRNA and mutation signatures associated with drug response in LUAD using a machine-learning approach and proposed a priority algorithm to predict drug response for different drugs.

关键词： Lung adenocarcinoma Drug resistance Machine learning Molecular features Personalized treatment

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Unraveling role of double-exchange interaction in electrochemical water oxidation by external magnetic field

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Rare Metals 2024年第1期43卷 289-297页

作者： Jun Li Jun-Ming Li Hong Hong Dong-Xue Liu qing-qi cao Dun-Hui Wang National Laboratory of Solid State Microstructures and Jiangsu Provincial Key Laboratory for Nanotechnology Nanjing UniversityNanjing 210093China School of Electronics and Information Hangzhou Dianzi UniversityHangzhou 310018China

Double-exchange(DE) interaction plays an important role in electrocatalytic oxygen evolution reaction(OER).However,precise achievement of DE interaction often requires foreign dopants or vacancy engineering,leading to destabilization of the catalysts and deterioration of *** contrast,the utilization of environmentally friendly,contactless,and continuously adjustable magnetic fields to study the OER process is profitable to avoid aforementioned interference factors and further elucidate the direct relationship_(0.5)between DE interaction and OER ***,by using cobalt hydroxide carbonate(Co(OH)(CO_(3))·xH_(2)O,CoHC) nanostructures as a proof-of-concept study,external magnetic fields are carefully implemented to verify the role of DE interaction during water oxidation *** studies reveal that external magnetic fields effectively enhance the reaction rate of the catalyst,the overpotential decreases from 386 to 355 mV(100 mA·cm^(-2)),while Tafel slopes drastically decline from 93 to 67 mV·dec^(-1)(1.0 T).Moreover,magnetic field increment exhibits robust *** in situ Raman and impedance measurements under external field,it can be found that magnetic field promotes the electron migration between Co^(2+) and Co^(3+) in the CoHC catalysts with the assistance of DE interactions,thus boosting the OER efficiency.

关键词： Magnetic field Double-exchange(DE)interaction Electrocatalysis Oxygen evolution reaction(OER) Cobalt hydroxide carbonate

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Enhanced hydrogen evolution reaction in FePt film with remanence due to decrease in domain walls

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Rare Metals 2024年第3期43卷 1108-1115页

作者： Hong Hong Dong-Xue Liu Jun Li Jun-Ming Li Li-qian Wu Bo Yang qing-qi cao Dun-Hui Wang National Laboratory of Solid State Microstructures Collaborative Innovation Center of Advanced MicrostructuresJiangsu Provincial Key Laboratory for NanotechnologySchool of PhysicsNanjing UniversityNanjing210093China Hangzhou Dianzi University Hangzhou310018China Key Laboratory for Anisotropy and Texture of Materials(Ministry of Education) School of Material Science and EngineeringNortheastern UniversityShenyang110819China

As an effective strategy to improve the properties of electrocatalysts,magnetic field-assisted electrocatalytic water splitting has attracted increasing attention ***,the corresponding enhancements mostly depend on the exertion of an external magnetic field during electrochemical reactions,which results in a high cost of industrial production,and makes the magnetic field manipulation of electrocatalysis become a challenging *** this work,instead of the external magnetic field,a bias magnetic field is self-supplied by the remanence state of a ferromagnetic electrocatalyst of *** to the assistance of this bias magnetic field,the FePt film in the remanence state shows the overpotential of 229 mV during hydrogen evolution reaction,which is much lower than that in its demagnetization state(283 mV).Our findings demonstrate that the remanence in ferromagnetic electrocatalysts can improve the catalytic performance,which is attributed to the decrease in domain walls.

关键词： Remanence Magnetic domains Electrocatalysis Hydrogen evolution reaction(HER)

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Identity-Preserving Adversarial Training for Robust Network Embedding

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Journal of Computer Science & Technology 2024年第1期39卷 177-191页

作者：岑科廷沈华伟曹婍徐冰冰程学旗 Data Intelligence System Research Center Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 101480China Beijing Academy of Artificial Intelligence Beijing 100000China Chinese Academy of Sciences Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China

Network embedding,as an approach to learning low-dimensional representations of nodes,has been proved extremely useful in many applications,e.g.,node classification and link ***,existing network embed-ding models are vulnerable to random or adversarial perturbations,which may degrade the performance of network em-bedding when being applied to downstream *** achieve robust network embedding,researchers introduce adversari-al training to regularize the embedding learning process by training on a mixture of adversarial examples and original ***,existing methods generate adversarial examples heuristically,failing to guarantee the imperceptibility of generated adversarial examples,and thus limit the power of adversarial *** this paper,we propose a novel method Identity-Preserving Adversarial Training(IPAT)for network embedding,which generates imperceptible adversarial exam-ples with explicit identity-preserving *** formalize such identity-preserving regularization as a multi-class classification problem where each node represents a class,and we encourage each adversarial example to be discriminated as the class of its original *** experimental results on real-world datasets demonstrate that our proposed IPAT method significantly improves the robustness of network embedding models and the generalization of the learned node representations on various downstream tasks.

关键词： network embedding identity-preserving adversarial training adversarial the example

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WNT5A Regulated by miR154-5p is Associated with Angiopoiesis and Invasion of Placental Site Trophoblastic Tumor (PSTT)

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Biomedical and Environmental Sciences 2024年第4期37卷 423-427页

作者： ZHANG Sai CHEN Zhi Xian ZHANG Mo DU Yan ZHOU Jia Yi WU Jing YU Yin Hua cao qi ZHAO Hong Bo Obstetrics and Gynecology Hospital Fudan UniversityShanghai 200011China Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases Shanghai 200011China

Placental site trophoblastic tumor(PSTT),a rare gestational trophoblastic neoplasm(GTN),exhibits slow growth,late-onset metastasis,and chemotherapy insensitivity[1,2].The invasive capacity of trophoblasts induces angiogenesis in PSTT,yet the specific mechanism remains unclear[3].PSTT is typically resistant to chemotherapy and hysterectomy stands as the primary therapeutic choice for patients with an overall cure rate of approximately 75%-80%[4,5].Therefore,investigating the precise emergence and progression of PSTT is crucial,aiming to identify novel targets for diagnosis and therapy.

关键词： chemotherapy diagnosis metastasis

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非光滑半无限多目标优化的高阶KKT最优性充分条件

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应用数学和力学 2024年第4期45卷 502-508页

作者：曹琪冯敏重庆交通大学数学与统计学院重庆400074

考虑了一类非光滑半无限多目标优化问题.利用高阶Studniarski下导数,得到了问题的严格局部有效解的高阶弱KKT最优性充分条件.进一步地,若假设该最优性条件中目标函数相关的乘子均大于零,则得到严格局部Borwein真有效解的高阶强KKT充分条... 详细信息

考虑了一类非光滑半无限多目标优化问题.利用高阶Studniarski下导数,得到了问题的严格局部有效解的高阶弱KKT最优性充分条件.进一步地,若假设该最优性条件中目标函数相关的乘子均大于零,则得到严格局部Borwein真有效解的高阶强KKT充分条件.这些充分条件适用于处理无任何凸性假设下的问题.

关键词：半无限多目标优化高阶Studniarski下导数高阶KKT充分条件

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A combined nanotherapeutic approach targeting farnesoid X receptor,ferroptosis,and fibrosis for nonalcoholic steatohepatitis treatment

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Acta Pharmaceutica Sinica B 2024年第5期14卷 2228-2246页

作者： Jiangtao Fu Pingping Zhang Zhiguo Sun Guodong Lu qi cao Yiting Chen Wenbin Wu Jiabao Zhang Chunlin Zhuang Chunquan Sheng Jiajun Xu Ying Lu Pei Wang The Center for Basic Research and Innovation of Medicine and Pharmacy(MOE) School of PharmacyNaval Medical UniversityShanghai 200433China National Demonstration Center for Experimental Pharmaceutical Education Naval Medical University/Second Military Medical UniversityShanghai 200433China Department of Diving and Hyperbaric Medicine Naval Special Medical CenterNaval Medical UniversityShanghai 200433China

Obeticholic acid(OCA),a farnesoid X receptor(FXR)agonist with favorable effects on fatty and glucose metabolism,has been considered the leading candidate drug for nonalcoholic steatohepatitis(NASH)***,its limited effectiveness in resolving liver fibrosis and lipotoxicity-induced cell death remains a major ***,a newly recognized form of cell death characterized by uncontrolled lipid peroxidation,is involved in the progression of *** oxide(NO)is a versatile biological molecule that can degrade extracellular *** this study,we developed a PEGylated thiolated hollow mesoporous silica nanoparticles(MSN)loaded with OCA,as well as a ferroptosis inhibitor liproxsatin-1 and a NO donor S-nitrosothiol(ONL@MSN).Biochemical analyses,histology,multiplexed flow cytometry,bulk-tissue RNA sequencing,and fecal 16S ribosomal RNA sequencing were utilized to evaluate the effects of the combined nanoparticle(ONL@MSN)in a mouse NASH *** with the OCA-loaded nanoparticles(O@MSN),ONL@MSN not only protected against hepatic steatosis but also greatly ameliorated fibrosis and ***@MSN also displayed enhanced therapeutic actions on the maintenance of intrahepatic macrophages/monocytes homeostasis,inhibition of immune response/lipid peroxidation,and correction of microbiota *** findings present a promising synergistic nanotherapeutic strategy for the treatment of NASH by simultaneously targeting FXR,ferroptosis,and fibrosis.

关键词： Nonalcoholic steatohepatitis Nanotherapy Farnesoid X receptor Ferroptosis Fibrosis Obeticholic acid S-Nitrosothiol Liproxstatin-1

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温度如何影响消费者行为:研究述评与展望

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外国经济与管理 2024年第5期46卷 136-152页

作者：曹琪王晓玉上海财经大学商学院上海200433

温度是企业开展营销活动的重要依据,它对消费者有着重要的影响。在营销领域,尽管温度相关研究日益增加,但目前还缺乏对温度研究的系统性文献梳理和述评。本文首先介绍了物理温度与社会情感的隐喻联系;紧接着从不同的温度范围出发,回顾... 详细信息

温度是企业开展营销活动的重要依据,它对消费者有着重要的影响。在营销领域,尽管温度相关研究日益增加,但目前还缺乏对温度研究的系统性文献梳理和述评。本文首先介绍了物理温度与社会情感的隐喻联系;紧接着从不同的温度范围出发,回顾了物理温暖、物理高温、物理低温和人际温度对消费者行为的影响,并介绍了温度的通感研究;随后从同化和补偿效应两个方面解释了温度的影响机制,并阐述了实验法中温度的操控方式;最后就温度对消费者行为影响的研究现状进行了评价,并从前置因素、影响后果及机制、边界条件、研究方法等方面提出了未来研究建议。

关键词：温度综述操纵消费者反应

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基于改进特征融合的口罩检测算法

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计算机工程与设计 2024年第2期45卷 524-529页

作者：曹琦武友新南昌大学数学与计算机学院江西南昌330036

针对口罩检测模型缺少不规范佩戴分类的检测,精度高与速度快难以兼容的问题,提出一种单阶段口罩规范佩戴实时检测算法,引入轻量提取网络DM-CSP,添加多尺度注意力MCA增强提取能力;针对融合阶段深浅层特征信息不对齐问题,设计特征对齐及... 详细信息

针对口罩检测模型缺少不规范佩戴分类的检测,精度高与速度快难以兼容的问题,提出一种单阶段口罩规范佩戴实时检测算法,引入轻量提取网络DM-CSP,添加多尺度注意力MCA增强提取能力;针对融合阶段深浅层特征信息不对齐问题,设计特征对齐及选择模块FAS,提出特征增强模块CTM关联特征图谱上下文信息,构建解耦通道进行图像识别,提高算法的识别精度和收敛速度。实验结果表明,改进算法检测精度达到93.2%,较主流算法YOLOv4-Tiny提高4.8%,检测速度和模型容量具有更优性能表现。

关键词：口罩检测图像识别注意力特征对齐特征增强实时检测多尺度

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高势能政策执行偏差的困局及其秩序破解——基于医改政策执行的观察

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公共管理学报 2024年第2期21卷 141-152,175,176页

作者：曹琦严则金中国人民大学公共管理学院北京100872 北京市医院管理中心北京100053

医药卫生体制改革是我国推进健康中国建设的核心任务与体制基石。诸多医改政策具有较高的政治势能,但在实际执行中却产生偏差,政策执行结果与初衷偏离甚至相悖。现有研究对这一问题的理论机制解释力不足。本文从高势能政策的本质入手,... 详细信息

医药卫生体制改革是我国推进健康中国建设的核心任务与体制基石。诸多医改政策具有较高的政治势能,但在实际执行中却产生偏差,政策执行结果与初衷偏离甚至相悖。现有研究对这一问题的理论机制解释力不足。本文从高势能政策的本质入手,提出秩序维度的思考,认为高势能政策普遍旨在重构秩序,而政策执行偏差就来自于“自发秩序”向“自觉秩序”转化过程中的秩序困境。本文首先从类型学意义上,界定政策执行偏差包括“逆执行”、“形式执行”和“弱执行”三种主要类型,相应选择公立医院规模控制、家庭医生签约服务、城市医疗集团建设三项代表性政策进行分析,并与“有效执行”的三项政策案例进行比较,提炼高势能政策执行偏差秩序视角的理论解释。认为高势能政策有效执行需要共享价值、结构功能与激励契约三项秩序要素的适配和共生,否则自觉秩序就不会生长,政策执行就会产生偏差。高势能政策不能只满足于制定环节的价值理性,还要关注执行环节中关键秩序要素能否统合支撑秩序范式转化。

关键词：高势能政策政策执行偏差医改政策自觉秩序自发秩序

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