Scheme Based on Multi-Level Patch Attention and Lesion Localization for Diabetic Retinopathy Grading

Early screening of diabetes retinopathy(DR)plays an important role in preventing irreversible blindness.Existing research has failed to fully explore effective DR lesion information in fundus maps.Besides,traditional attention schemes have not considered the impact of lesion type differences on grading,resulting in unreasonable extraction of important lesion features.Therefore,this paper proposes a DR diagnosis scheme that integrates a multi-level patch attention generator(MPAG)and a lesion localization module(LLM).Firstly,MPAGis used to predict patches of different sizes and generate a weighted attention map based on the prediction score and the types of lesions contained in the patches,fully considering the impact of lesion type differences on grading,solving the problem that the attention maps of lesions cannot be further refined and then adapted to the final DR diagnosis task.Secondly,the LLM generates a global attention map based on localization.Finally,the weighted attention map and global attention map are weighted with the fundus map to fully explore effective DR lesion information and increase the attention of the classification network to lesion details.This paper demonstrates the effectiveness of the proposed method through extensive experiments on the public DDR dataset,obtaining an accuracy of 0.8064.

A Blockchain-Based Proxy Re-Encryption Scheme with Conditional Privacy Protection and Auditability

With the development of Internet of Things technology,intelligent door lock devices are widely used in the field of house leasing.In the traditional housing leasing scenario,problems of door lock information disclosure,tenant privacy disclosure and rental contract disputes frequently occur,and the security,fairness and auditability of the housing leasing transaction cannot be guaranteed.To solve the above problems,a blockchain-based proxy re-encryption scheme with conditional privacy protection and auditability is proposed.The scheme implements fine-grained access control of door lock data based on attribute encryption technology with policy hiding,and uses proxy re-encryption technology to achieve auditable supervision of door lock information transactions.Homomorphic encryption technology and zero-knowledge proof technology are introduced to ensure the confidentiality of housing rent information and the fairness of rent payment.To construct a decentralized housing lease transaction architecture,the scheme realizes the efficient collaboration between the door lock data ciphertext stored under the chain and the key information ciphertext on the chain based on the blockchain and InterPlanetary File System.Finally,the security proof and computing performance analysis of the proposed scheme are carried out.The results show that the scheme can resist the chosen plaintext attack and has low computational cost.

Quantum circuit-based proxy blind signatures:A novel approach and experimental evaluation on the IBM quantum cloud platform

This paper presents a novel approach to proxy blind signatures in the realm of quantum circuits,aiming to enhance security while safeguarding sensitive information.The main objective of this research is to introduce a quantum proxy blind signature(QPBS)protocol that utilizes quantum logical gates and quantum measurement techniques.The QPBS protocol is constructed by the initial phase,proximal blinding message phase,remote authorization and signature phase,remote validation,and de-blinding phase.This innovative design ensures a secure mechanism for signing documents without revealing the content to the proxy signer,providing practical security authentication in a quantum environment under the assumption that the CNOT gates are securely implemented.Unlike existing approaches,our proposed QPBS protocol eliminates the need for quantum entanglement preparation,thus simplifying the implementation process.To assess the effectiveness and robustness of the QPBS protocol,we conduct comprehensive simulation studies in both ideal and noisy quantum environments on the IBM quantum cloud platform.The results demonstrate the superior performance of the QPBS algorithm,highlighting its resilience against repudiation and forgeability,which are key security concerns in the realm of proxy blind signatures.Furthermore,we have established authentic security thresholds(82.102%)in the presence of real noise,thereby emphasizing the practicality of our proposed solution.

Deep neural network based on multi-level wavelet and attention for structured illumination microscopy

Structured illumination microscopy(SIM)is a popular and powerful super-resolution(SR)technique in biomedical research.However,the conventional reconstruction algorithm for SIM heavily relies on the accurate prior knowledge of illumination patterns and signal-to-noise ratio(SNR)of raw images.To obtain high-quality SR images,several raw images need to be captured under high fluorescence level,which further restricts SIM’s temporal resolution and its applications.Deep learning(DL)is a data-driven technology that has been used to expand the limits of optical microscopy.In this study,we propose a deep neural network based on multi-level wavelet and attention mechanism(MWAM)for SIM.Our results show that the MWAM network can extract high-frequency information contained in SIM raw images and accurately integrate it into the output image,resulting in superior SR images compared to those generated using wide-field images as input data.We also demonstrate that the number of SIM raw images can be reduced to three,with one image in each illumination orientation,to achieve the optimal tradeoff between temporal and spatial resolution.Furthermore,our MWAM network exhibits superior reconstruction ability on low-SNR images compared to conventional SIM algorithms.We have also analyzed the adaptability of this network on other biological samples and successfully applied the pretrained model to other SIM systems.

Quantum-Resistant Multi-Feature Attribute-Based Proxy Re-Encryption Scheme for Cloud Services

Cloud-based services have powerful storage functions and can provide accurate computation.However,the question of how to guarantee cloud-based services access control and achieve data sharing security has always been a research highlight.Although the attribute-based proxy re-encryption(ABPRE)schemes based on number theory can solve this problem,it is still difficult to resist quantum attacks and have limited expression capabilities.To address these issues,we present a novel linear secret sharing schemes(LSSS)matrix-based ABPRE scheme with the fine-grained policy on the lattice in the research.Additionally,to detect the activities of illegal proxies,homomorphic signature(HS)technology is introduced to realize the verifiability of re-encryption.Moreover,the non-interactivity,unidirectionality,proxy transparency,multi-use,and anti-quantum attack characteristics of our system are all advantageous.Besides,it can efficiently prevent the loss of processing power brought on by repetitive authorisation and can enable precise and safe data sharing in the cloud.Furthermore,under the standard model,the proposed learning with errors(LWE)-based scheme was proven to be IND-sCPA secure.

Comparative analysis of extreme ultraviolet solar radiation proxies during minimum activity levels

Four extreme ultraviolet(EUV)solar radiation proxies(Magnesium II core-to-wing ratio(MgII),Lymanαflux(Fα),10.7-cm solar radio flux(F10.7),and sunspot number(Rz))were analyzed during the last four consecutive solar activity minima to investigate how they differ during minimum periods and how well they represent solar EUV radiation.Their variability within each minimum and between minima was compared by considering monthly means.A comparison was also made of their role in filtering the effect of solar activity from the critical frequency of the ionospheric F2 layer,foF2,which at mid to low latitudes depends mainly on EUV solar radiation.The last two solar cycles showed unusually low EUV radiation levels according to the four proxies.Regarding the connection between the EUV“true”variation and that of solar proxies,according to the foF2 filtering analysis,MgII and Fαbehaved in a more stable and suitable way,whereas Rz and F10.7 could be overestimating EUV levels during the last two minima,implying they would both underestimate the inter-minima difference of EUV when compared with the first two minima.

FPGA based hardware platform for trapped-ion-based multi-level quantum systems

We report a design and implementation of a field-programmable-gate-arrays(FPGA)based hardware platform,which is used to realize control and signal readout of trapped-ion-based multi-level quantum systems.This platform integrates a four-channel 2.8 Gsps@14 bits arbitrary waveform generator,a 16-channel 1 Gsps@14 bits direct-digital-synthesisbased radio-frequency generator,a 16-channel 8 ns resolution pulse generator,a 10-channel 16 bits digital-to-analogconverter module,and a 2-channel proportion integration differentiation controller.The hardware platform can be applied in the trapped-ion-based multi-level quantum systems,enabling quantum control of multi-level quantum system and highdimensional quantum simulation.The platform is scalable and more channels for control and signal readout can be implemented by utilizing more parallel duplications of the hardware.The hardware platform also has a bright future to be applied in scaled trapped-ion-based quantum systems.

A Linear Homomorphic Proxy Signature Scheme Based on Blockchain for Internet of Things

The mushroom growth of IoT has been accompanied by the generation of massive amounts of data.Subject to the limited storage and computing capabilities ofmost IoT devices,a growing number of institutions and organizations outsource their data computing tasks to cloud servers to obtain efficient and accurate computation while avoiding the cost of local data computing.One of the most important challenges facing outsourcing computing is how to ensure the correctness of computation results.Linearly homomorphic proxy signature(LHPS)is a desirable solution to ensure the reliability of outsourcing computing in the case of authorized signing right.Blockchain has the characteristics of tamper-proof and traceability,and is a new technology to solve data security.However,as far as we know,constructions of LHPS have been few and far between.In addition,the existing LHPS scheme does not focus on homomorphic unforgeability and does not use blockchain technology.Herein,we improve the security model of the LHPS scheme,and the usual existential forgery and homomorphic existential forgery of two types of adversaries are considered.Under the new model,we present a blockchain-based LHPS scheme.The security analysis shows that under the adaptive chosen message attack,the unforgeability of the proposed scheme can be reduced to the CDH hard assumption,while achieving the usual and homomorphic existential unforgeability.Moreover,comparedwith the previous LHPS scheme,the performance analysis shows that our scheme has the same key size and comparable computational overhead,but has higher security.

Deep reinforcement learning based multi-level dynamic reconfiguration for urban distribution network:a cloud-edge collaboration architecture

With the construction of the power Internet of Things(IoT),communication between smart devices in urban distribution networks has been gradually moving towards high speed,high compatibility,and low latency,which provides reliable support for reconfiguration optimization in urban distribution networks.Thus,this study proposed a deep reinforcement learning based multi-level dynamic reconfiguration method for urban distribution networks in a cloud-edge collaboration architecture to obtain a real-time optimal multi-level dynamic reconfiguration solution.First,the multi-level dynamic reconfiguration method was discussed,which included feeder-,transformer-,and substation-levels.Subsequently,the multi-agent system was combined with the cloud-edge collaboration architecture to build a deep reinforcement learning model for multi-level dynamic reconfiguration in an urban distribution network.The cloud-edge collaboration architecture can effectively support the multi-agent system to conduct“centralized training and decentralized execution”operation modes and improve the learning efficiency of the model.Thereafter,for a multi-agent system,this study adopted a combination of offline and online learning to endow the model with the ability to realize automatic optimization and updation of the strategy.In the offline learning phase,a Q-learning-based multi-agent conservative Q-learning(MACQL)algorithm was proposed to stabilize the learning results and reduce the risk of the next online learning phase.In the online learning phase,a multi-agent deep deterministic policy gradient(MADDPG)algorithm based on policy gradients was proposed to explore the action space and update the experience pool.Finally,the effectiveness of the proposed method was verified through a simulation analysis of a real-world 445-node system.

Neighborhood Effects and Political Trust: A Multi-level Analysis of Chinese Rural-to-Urban Migrants’ Trust in County Government

Massive rural-to-urban migration in China is consequential for political trust: rural-to-urban migrants have been found to hold lower levels of trust in local government than their rural peers who choose to stay in the countryside (mean 4.92 and 6.34 out of 10, respectively, p < 0.001). This article explores why migrants have a certain level of political trust in their county-level government. Using data of rural-to-urban migrants from the China Family Panel Survey, this study performs a hierarchical linear modeling (HLM) to unpack the multi-level explanatory factors of rural-to-urban migrants’ political trust. Findings show that the individual-level socio-economic characteristics and perceptions of government performance (Level-1), the neighborhood-level characteristics-the physical and social status and environment of neighborhoods (Level-2), and the objective macroeconomic performance of county-level government (Level-3), work together to explain migrants’ trust levels. These results suggest that considering the effects of neighborhood-level factors on rural-to-urban migrants’ political trust merits policy and public management attention in rapidly urbanizing countries.

The Connection Between Medical Self-determination and the System of Adult Guardianship——The Institutional Construction of Medical Proxy

China has established the basic rules of informed consent in the medical field through Articles 1219 and 1220 of the tort liability part of the Civil Code of China to address the legality of medical conduct.Since patients’capacity to consent is the prerequisite,when the patient is a fully competent person,it is sufficient to give consent based on valid notification by the doctor.However,for those who are unable to give valid consent,especially adult patients with impaired capacity,resolving the legality of the doctor’s medical conduct remains an issue when it infringes on the patient’s body and health.To solve this issue,someone must give consent in place of the patient when the adult is unable to give valid consent.However,the personal and exclusive nature of the right to medical consent,which is informed consent,makes it impossible to simply delegate it to a guardian or other person to exercise it on behalf of the patient.In this paper,we borrow the concept of“medical proxy”proposed by Japanese scholar Teruaki Tayama,and for the first time,we discuss the construction of medical proxy from the perspective of adult guardianship by connecting the two systems from the standpoint of interpretive theory.

一种航天器在轨环境下结构变形的反演方法

为实现航天器在轨结构变形高效计算,提出一种基于神经网络的结构变形反演方法:借助有限元分析法获得结构在不同温度载荷作用下的变形分布特征,并利用获取的数据对输入和输出间神经网络进行训练,获取高精度的代理模型。利用该模型,可以在轨测量的温度作为输入,实现对航天器结构全场变形的快速反演;可通过引入合适参数的高斯噪声,增强神经网络对于输入误差的适应能力;可用改进的连接权值分析方法,给出确定传感器数量下,实现变形反演精度最高的结构温度测点的布局优化方案。综上,该反演方法具有精度高、实时性强、受输入误差影响小等优点,其应用对于提升遥感卫星的成像质量具有重要意义。

委托代持担保物权的法律效力

在特定的交易模式中,担保物权可由他人代为持有。为使金融交易方式更加灵活便捷,应缓和担保物权设立上的从属性,允许为将来债权提供担保,在担保物权可得实现之时,主债权真实存在即可。在权利归属认定中,法院不宜恪守于权利登记内容,在不影响第三人权益的前提下,应尊重当事人间的真实意思表示,认定债权人为实际权利人。倘若名义权利人将登记系统上所登记的债权及担保物权无权处分给第三人,善意取得规则自有适用空间。在担保物权可得实现之时,原则上债权人和受托人均可行使担保物权。在特殊情形下,担保物权的行使主体可由当事人约定。

基于Proxy的网络计费系统的设计与实现

讨论在校园网环境下的网络计费，对基于Proxy的网络计费与管理进行了详细设计，给出了巨量数据的处理方法。

一种基于Proxy的Web应用安全漏洞检测方法及实现

指出了Web应用中存在的各种安全漏洞,在分析并总结Web应用安全漏洞特点的基础上,设计了一种基于Proxy的Web应用安全漏洞检测方法,该方法可以用来检测一些常见的Web应用安全漏洞,如参数篡改、跨站点脚本漏洞等.给出了利用该方法检测SQL代码插入、跨站点脚本算法的JAVA语言实现.

陕南勉县寒武系仙女洞组生物礁岩相学及古环境分析

【目的】生物礁演化史上一个关键节点是寒武纪早期广泛出现了后生动物古杯与微生物群落的联合造礁,该造礁群落形成环境和发育条件值得探讨。【方法】以华南板块西北缘汉南—米仓山地区的勉县大河坝剖面为例,对寒武系仙女洞组沉积序列和生物礁临近层位开展了系统的岩相学、沉积学和元素地球化学分析。【结果】岩相学特征显示礁体形成于海退背景下的临滨带环境,建造过程可依次分为钙质微生物主导、古杯动物大量繁盛以及古杯与钙质微生物联合建造三个阶段。生物礁灰岩中的陆源碎屑组分含量向上增多,且颗粒变粗,顶部被中—细砂岩覆盖。【结论】古杯—钙质微生物礁生长过程中对低强度的陆源碎屑输入具有一定的耐受度,当粗粒陆源碎屑组分的持续、高强度输入时将造成生物礁发育终止。本实例揭示了古杯—钙质微生物造礁群落生长过程与海底生态指标的相关性,可为古环境学、沉积学和储层地质学相关研究提供参考。

全民所有自然资源资产所有权委托代理行使机制探讨

全民所有自然资源资产所有权委托代理机制是自然资源资产所有权的一种行使方式,是落实自然资源资产全民所有的重要举措,也是社会主义公有制的实现方式。目前,对于全民所有自然资源资产所有权委托代理制度,法律并无明确规定,试点地区开始探索行之有效的委托代理履职模式。文章通过梳理试点地区的实践经验,发现全民所有自然资源资产所有权委托代理面临所有权行使的权责不明确、自然资源资产“家底”不清、委托代理制度不健全等困境。基于此,文章从优化权责分配关系、做好资产清查和统计工作、科学编制自然资源清单、完善委托代理制度等方面提出建议。

基于MS Proxy Server的网络计费系统的实现

文中介绍了代理服务器的计费方式,阐述了基于MSProxyServer的网络计费系统的设计与实现。

基于策略DNS和HTTP Proxy的多宿主网络服务部署的研究

针对目前常用的多宿主网络服务部署方法中存在的由于ISP网络地址集的变化或DNS配置等因素会造成服务访问路由不可达的不足,提出了一种基于策略DNS与HTTP Proxy在多宿主网络中服务的部署策略,在各ISP出口安装HTTP Proxy服务器,配合策略DNS服务进行联合部署。从理论上对该策略进行了分析,并对部署方法进行了详细阐述。通过实例分析及效果测量,证实了在不改变网络拓扑、基本不增加投入的情况下,通过该策略可大幅度提高校园网或企业网信息资源服务的互联网用户访问速度和访问质量,并解决了传统方式中路由不可达的问题。

基于PROXY服务器的网络计费系统原理与实现

网络计费是网络管理中重要的一部分 ,一个有效而合理的计费系统是校园网络正常运行的保证 .文章研究了代理机制 ,分析了基于 PROXY服务器的网络计费系统原理 ,提出了网络计费系统的一个开发模型 ,并对模型中的数据采集、计费信息处理、数据查询等主要模块的设计作了较详细的阐述 .