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Engineering strontium aluminate sacrificial layers for fabricating monocrystalline complex oxide freestanding membranes

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The Innovation 2024年第4期5卷 23-24页

作者： di lu School of Microelectronics University of Science and Technology of ChinaHefei 230026China

There was a long history of releasing various monocrystalline semiconductor structures from their hosting substrates to form“freestanding”structures,in order to change the substrates and for other special *** release was achieved by breaking the bonds between the film and the substrate,through methods such as forming interfacial gas bubbles(“smart-cut”technology for fabricating semiconductor-on-insulator wafers)or chemical etching(selectively etching epitaxial AlAs underlayer for fabricating GaAs-on-silicon photonic devices).The exfoliation of layered van der Waals materials in recent decades also produced another class of freestanding monocrystalline materials—twodimensional(2D)*** addition to changeable substrates,being freestanding also allowed unique methods to manipulate the 2D materials;for example,transferring them on flexible substrates and directly stretching them controls the strain in their lattice,as well as their strain-dependent physical properties.

关键词： free stretching fabricating

CToMP: a cycle-task-oriented memory protection scheme for unmanned systems

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Science China(Information Sciences) 2024年第6期67卷 399-417页

作者： Chengyan MA Ning XI di lu Yebo FENG Jianfeng MA School of Cyber Engineering Xidian University School of Computer Science and Technology Xidian University Department of Computer and Information Science University of Oregon

Memory corruption attacks(MCAs) refer to malicious behaviors of system intruders that modify the contents of a memory location to disrupt the normal operation of computing systems, causing leakage of sensitive data or perturbations to ongoing processes. Unlike general-purpose systems, unmanned systems cannot deploy complete security protection schemes, due to their limitations in size, cost and *** in unmanned systems are particularly difficult to defend against. Furthermore, MCAs have diverse and unpredictable attack interfaces in unmanned systems, severely impacting digital and physical sectors. In this paper, we first generalize, model and taxonomize MCAs found in unmanned systems currently, laying the foundation for designing a portable and general defense approach. According to different attack mechanisms,we found that MCAs are mainly categorized into two types — return2libc and return2shellcode. To tackle return2libc attacks, we model the erratic operation of unmanned systems with cycles and then propose a cycle-task-oriented memory protection(CToMP) approach to protect control flows from tampering. To defend against return2shellcode attacks, we introduce a secure process stack with a randomized memory address by leveraging the memory pool to prevent Shellcode from being executed. Moreover, we discuss the mechanism by which CTo MP resists the return-oriented programming(ROP) attack, a novel variant of return2libc attacks. Finally, we implement CTo MP on CUAV V5+ with Ardupilot and Crazyflie. The evaluation and security analysis results demonstrate that the proposed approach CTo MP is resilient to various MCAs in unmanned systems with low footprints and system overhead.

关键词： unmanned system memory corruption attack memory protection system security randomized memory address

Generalized autoencoder-based fault detection method for traction systems with performance degradation

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High-Speed Railway 2024年第3期2卷 180-186页

作者： Chao Cheng Wenyu Liu lu di Shenquan Wang Changchun University of Technology Changchun 130012China Jilin Institute of Electronics Information Products Inspection Changchun 130012China

Fault diagnosis of traction systems is important for the safety operation of high-speed ***-term operation of the trains will degrade the performance of systems,which decreases the fault detection *** solve this problem,this paper proposes a fault detection method developed by a Generalized Autoencoder(GAE)for systems with performance *** advantage of this method is that it can accurately detect faults when the traction system of high-speed trains is affected by performance *** of the probability distribution,it can handle any data,and the GAE has extremely high sensitivity in anomaly ***,the effectiveness of this method is verified through the Traction Drive Control System(TDCS)*** different performance degradation levels,our method’s experimental results are superior to traditional methods.

关键词： Performance degradation Generalized autoencoder Fault detection Traction control systems High-speed trains

Automated federated learning‐based adversarial attack and defence in industrial control systems

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IET Cyber-Systems and Robotics 2024年第2期6卷 109-127页

作者： Guo-Qiang Zeng Jun-Min Shao Kang-di lu Guang-Gang Geng Jian Weng College of Cyber Security Jinan UniversityGuangzhouChina National Joint Engineering Research Center of Network Security Detection and Protection Technology Jinan UniversityGuangzhouChina College of Information Science and Technology Donghua UniversityShanghaiChina

With the development of deep learning and federated learning(FL),federated intrusion detection systems(IDSs)based on deep learning have played a significant role in securing industrial control systems(ICSs).However,adversarial attacks on ICSs may compromise the ability of deep learning-based IDSs to accurately detect cyberattacks,leading to serious ***,in the process of generating adversarial samples,the selection of replacement models lacks an effective method,which may not fully expose the vulnerabilities of the *** authors first propose an automated FL-based method to generate adversarial samples in ICSs,called AFL-GAS,which uses the prin-ciple of transfer attack and fully considers the importance of replacement models during the process of adversarial sample *** the proposed AFL-GAS method,a lightweight neural architecture search method is developed to find the optimised replacement model composed of a combination of four lightweight basic ***,to enhance the adversarial robustness,the authors propose a multi-objective neural archi-tecture search-based IDS method against adversarial attacks in ICSs,called MoNAS-IDSAA,by considering both classification performance on regular samples and adver-sarial robustness *** experimental results on three widely used intrusion detection datasets in ICSs,such as secure water treatment(SWaT),Water distribution,and Power System Attack,demonstrate that the proposed AFL-GAS method has obvious advantages in evasion rate and lightweight compared with other four ***,the proposed MoNAS-IDSAA method not only has a better classification performance,but also has obvious advantages in model adversarial robustness compared with one manually designed federated adversarial learning-based IDS method.

关键词： adversarial attacks adversarial robustness automated federated learning Industrial control system intrusion

Prognostic factors for lacrimal gland adenoid cystic carcinoma:a retrospective study in Chinese patients

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International Journal of Ophthalmology(English edition) 2024年第8期17卷 1423-1430页

作者： lu-di Yang Shi-Chong Jia Jie Yang Xin Song Ye-Fei Wang Xian-Qun Fan Department of Ophthalmology Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai 200011China Shanghai Key Laboratory of Orbital diseases and Ocular Oncology Shanghai 200011China Tianjin Eye Hospital Tianjin Key Lab of Ophthalmology and Visual ScienceNankai University Affiliated Eye HospitalTianjin Eye InstituteTianjin 300074China

AIM:To explore the prognostic factors for lacrimal gland adenoid cystic carcinoma(LGACC)in Chinese ***:Clinical and histopathological data were reviewed in patients with pathologically confirmed *** recurrence,metastasis,and disease-specific death were the main outcome *** and multivariate analyses were performed by the Kaplan-Meier method and a Cox proportional hazard ***:This retrospective cohort study included 45 patients with pathologically confirmed LGACC between January 2008 and June ***(T)classification(P=0.005),nodal metastasis(N)classification(P=0.018)and positive margin(P=0.008)were independent risk factors of recurrence;T(P=0.013)and N(P=0.003)classification and the basaloid tumor type(P=0.032)were independent risk factors for metastasis;T classification(Pdiotherapy is correlated with metastatic risk in LGACC patients with basaloid component(P=0.022).CONCluSION:Histological subtype should be emphasized when evaluating prognosis and guiding *** radiotherapy may reduce the risk of metastasis in patients with basaloid component.

关键词： lacrimal gland adenoid cystic carcinoma risk factors prognostic analysis histological subtypes

FGF21-mediated autophagy:Remodeling the homeostasis in response to stress in liver diseases

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Genes & diseases 2024年第3期11卷 264-274页

作者： Wei Shen Modan Yang Hao Chen Chiy He Huigang Li Xinyu Yang Jianyong Zhuo Zuyuan Lin Zhihang Hu di lu Xiao Xu Zhejiang University School of Medicine HangzhouZhejiang 310058China Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province Department of Hepatobiliary and Pancreatic SurgeryAffiliated Hangzhou First People's HospitalZhejiang University School of MedicineHangzhouZhejiang 310006China The Institute for Organ Repair and Regenerative Medicine of Hangzhou HangzhouZhejiang 310006China Institute of Organ Transplantation Zhejiang UniversityHangzhouZhejiang 310003China National Center for Healthcare Quality Management in Liver Transplant HangzhouZhejiang 310003China

Liver diseases are worldwide problems closely associated with various stresses,such as endoplasmic reticulum *** exact interplay between stress and liver diseases remains *** plays an essential role in maintaining homeostasis,and recent studies indicate tight crosstalk between stress and autophagy in liver *** the bal-ance between damage and autophagy is broken,autophagy can no longer resist injury or main-tain *** recent years,FGF21(fibroblast growth factor 21)-induced autophagy has attracted much ***21 is regarded as a stress hormone and can be up-regulated by an abundance of signaling pathways in response to ***,increased FGF21 activates autophagy by a complicated signaling network in which mTOR plays a pivotal *** review summarizes the mechanism of FGF21-mediated autophagy and its derived application in the defense of stress in liver diseases and offers a glimpse into its promising prospect in future clinical practice.

关键词： Autophagy Fibroblast growth factor 21 Liver diseases mTOR Stress

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论徐志摩的宋词今译与郭沫若、胡适的关系

现代中文学刊 2024年第1期 113-121页

作者：卢荻上海交通大学中文系

1924年左右,徐志摩以现代白话文翻译出至少十二首宋词,这些宋词大都出自李清照的《漱玉集》。现有资料表明,徐译宋词是在两位古诗今译的先行者郭沫若、胡适的共同影响下产生的,即:郭沫若的《诗经》选译集《卷耳集》在“非直译”译法上... 详细信息

1924年左右,徐志摩以现代白话文翻译出至少十二首宋词,这些宋词大都出自李清照的《漱玉集》。现有资料表明,徐译宋词是在两位古诗今译的先行者郭沫若、胡适的共同影响下产生的,即:郭沫若的《诗经》选译集《卷耳集》在“非直译”译法上启发了徐氏,胡适的五代宋词选集《词选》在今译素材的选择上为徐氏提供了方向。此外,受惠于郭、胡二人寄托在译事中的新诗试验精神,特别是对诗人个体的尊重,徐氏的今译尝试又不乏个人特色。在今译时,徐氏秉持其“宋词乃杂技艺术”观,一方面因诗人之生平、诗歌之音乐性等选取了李清照词,另方面则将原词里的多种情感统一为恋而不得的爱情,以实现自己的创作主张:“情真即是诗真”“心理冲突即创作之母”。

关键词：徐志摩宋词今译郭沫若胡适李清照

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双鉴别器盲超分重建方法研究

电子与信息学报 2024年第1期46卷 277-286页

作者：卢迪于国梁哈尔滨理工大学哈尔滨150080

图像超分变率重建方法在公共安全检测、卫星成像、医学和照片恢复等方面有着十分重要的用途。该文对基于生成对抗网络的超分辨率重建方法进行研究,提出一种基于纯合成数据训练的真实世界盲超分算法(RealESRGAN)的UNet3+双鉴别器Real-ESR... 详细信息

图像超分变率重建方法在公共安全检测、卫星成像、医学和照片恢复等方面有着十分重要的用途。该文对基于生成对抗网络的超分辨率重建方法进行研究,提出一种基于纯合成数据训练的真实世界盲超分算法(RealESRGAN)的UNet3+双鉴别器Real-ESRGAN方法(Double Unet3+Real-ESRGAN, DU3-Real-ESRGAN)。首先,在鉴别器中引入UNet3+结构,从全尺度捕捉细粒度的细节和粗粒度的语义。其次,采用双鉴别器结构,一个鉴别器学习图像纹理细节,另一个鉴别器关注图像边缘,实现图像信息互补。在Set5, Set14, BSD100和Urban100数据集上,与多种基于生成对抗网络的超分重建方法相比,除Set5数据集外,DU3-Real-ESRGAN方法在峰值信噪比(PSNR)、结构相似性(SSIM)和无参图像考评价指标(NIQE)都优于其他方法,产生了更直观逼真的高分辨率图像。

关键词：超分辨率重建纯合成数据训练的真实世界盲超分算法 UNet3+ 双鉴别器

Advances in intelligent mass spectrometry data processing technology for in vivo analysis of natural medicines

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Chinese Journal of Natural Medicines 2024年第10期22卷 900-913页

作者： CHEN Simian DAI Binxin ZHANG Dandan YANG Yuexin ZHANG Hairong ZHANG Junyu lu di WU Caisheng Fujian Provincial Key Laboratory of Innovative Drug Target Research and State Key Laboratory of Cellular Stress Biology School of Pharmaceutical Sciences Xiamen University Xiamen Key Laboratory for Clinical Efficacy and Evidence-Based Research of Traditional Chinese Medicine Xiamen University

Natural medicines(NMs) are crucial for treating human diseases. Efficiently characterizing their bioactive components in vivo has been a key focus and challenge in NM research. High-performance liquid chromatography-high-resolution mass spectrometry(HPLC-HRMS) systems offer high sensitivity, resolution, and precision for conducting in vivo analysis of NMs. However, due to the complexity of NMs, conventional data acquisition, mining, and processing techniques often fail to meet the practical needs of in vivo NM analysis. Over the past two decades, intelligent spectral data-processing techniques based on various principles and algorithms have been developed and applied for in vivo NM analysis. Consequently, improvements have been achieved in the overall analytical performance by relying on these techniques without the need to change the instrument hardware. These improvements include enhanced instrument analysis sensitivity, expanded compound analysis coverage, intelligent identification, and characterization of nontargeted in vivo compounds, providing powerful technical means for studying the in vivo metabolism of NMs and screening for pharmacologically active components. This review summarizes the research progress on in vivo analysis strategies for NMs using intelligent MS data processing techniques reported over the past two decades. It discusses differences in compound structures, variations among biological samples, and the application of artificial intelligence(AI) neural network algorithms. Additionally, the review offers insights into the potential of in vivo tracking of NMs, including the screening of bioactive components and the identification of pharmacokinetic markers. The aim is to provide a reference for the integration and development of new technologies and strategies for future in vivo analysis of NMs.

关键词： Artificial Intelligence Data-acquisition Data-processing High-performance liquid chromatography–High-resolution mass spectrometry Metabolomics