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.

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.

The Conflict between Individuals and Society in Seize the Day

This paper explores the existential problem in Seize the Day-the conflict between individuals and society in modern society.With a brief introduction of Saul Bellow and the novel,the paper emphasizes the analysis of the conflict and the sources of the conflict.Besides,Saul Bellow uses many rhetorical devices to intensify the conflict.The analysis of these rhetorical devices is beneficial for us to interpret and understand the true meaning of the novel.Through the study of Bellow’s vision and the novel’s metaphorical meaning,we may find an effective solution to the conflict that our human being is involved in,and realize the social values of this novel.

“社会”与Society的中英语义差别对比分析

翻译过程中,中英文同一组词的语义不对等问题引起语义学者兴趣,而高频互译的“社会”与society这组词在译者与读者视角下语义对等性极强,由此语义差别研究较少且研究空间较大。该文研究该组词的字典释义,对比探究两者的语义不对等性,归纳语义差别背后原因。研究发现,“社会”和society存在语义不对等;“社会”一词包含“社交”和“公共”两大含义,而society一词对应其中“社交”之意,表现出一定的不对等性。

Discussion on“School is Society”and Its Enlightenment to the Construction of University Environment

The principle of“school is society”indicates that controlling the environment is the only educational method.By transforming the school into a microcosm of society,we can cultivate individuals who possess a social spirit and adaptability,preparing them to thrive in real-world social situations.By analyzing the social performance of colleges and universities in terms of their training objectives for society,research concepts for the development of society,and service consciousness for the improvement of society,as well as the current demand for a proper connection with society,it can be found that taking“school is society”as the guiding ideology for the construction of the university environment tends to be simplified,purified,balanced,broadened,and provided with practical space.This will be beneficial to the development of higher education.

Combinations of Transportation Policies to Promote BRT Usage Using Artificial Society Model

Various transportation systems have been developed in recent years.In this study,an artificial society model is developed to examine the combination of transportation policies in urban areas.In this model,each trip maker selects the primary and terminal transportation modes.An artificial society model is applied to the southeastern region of Osaka City,Japan.The effects of introducing BRT(bus rapid transit,primary transportation)and on-demand buses(terminal transportation)are investigated.The results confirm that BRT is used by a certain number of users.An increase in the use of BRT will increase the amount of walking,thus resulting in a healthy city.However,on-demand buses are rarely used as terminal transportation.Additionally,the development of bicycle parking stations near BRT stops is shown to be effective in the northern section of the BRT route.

Hungry and Angry Society: Implications for Sustainable Development in Nigeria

Hunger is a physiological need,but the production and consumption of adequate and balanced food is a function of social forces.At every point,social,political,and economic processes intervene,for better or(more common)for worse.Food is one fundamental need of human beings for survival.But in Nigeria there is widespread food shortage and hunger.Development scholars have put forward reasons why poverty,hunger persists in the country,from the platitudes about population growth,inadequate implementation of agricultural policies,and neglect of agriculture,bad leadership,corruption,and the issue of distribution.Nigeria is richly blessed with arable land and citizens eager to unlock its food potentials.Unfortunately,this is far from being realized as the country depends on foreign countries for food,a situation that is tragic and sad.She spends about$10 billion a year importing food and agricultural products,the majority of which are wheat,rice,poultry,fish,and consumer-oriented foods.The pressure on the exchange rate results in devaluation-triggered inflation and food costs that fly up beyond the grasp of people at the bottom of the ladder as it is now is one of the negative repercussions of high food importation bills.Examining the effects of hunger is one of this paper’s key concerns and goals,and anger crisis for achieving sustainable development in the country using the Frustration-Aggression Theory,The Relative Deprivation and Political Economy Approach as guide.

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.

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.

An Analysis of the Current State of Civil Society Participation in Ensuring the National Security of Mongolia

In this article, the researchers tried to evaluate the contribution of civil society to Mongolian democracy and the problems faced by civil society. In addition, the article aimed to determine the unique national criteria of Mongolian democracy and the need to create an organization to monitor the process of democracy. The process of identifying important documents and ideals for the development of Mongolian civil society today is still in its early stages. It can be said that the approval of the democratic constitution and the first free and fair parliamentary elections as a country that has newly and restored democracy became another impetus for the creation of a new type of citizen organization. It is characterized by trying to study the changes that have occurred since this historical period at the intersection of political science and security studies. One of the most important issues today is to find out how many non-governmental and civil society organizations exist in Mongolia today, which are Western-oriented, focused on specific issues, have their own position and opinion, are specialized, and are capable of influencing government policy. On the other hand, in this article, we emphasize whether non-governmental and civil society organizations, which aim to hold the government accountable, and carry out influence and control activities, are fully developed.

电影《Dead Poets Society》中对教育共情力的思考

共情力是个体在观察和理解他人情感的基础上,产生与观察对象相似的情感体验并表现出相应行为反应的一种能力。在教育过程中,家庭和学校对个体的教育最为直接,学生阶段是个体人生成长的重要时期,好的教育是需要共情力的。本文以美国影片《Dead Poets Society》为例,针对“共情教育”,启发家长、教师在教育过程中的共情能力对个体心理发展所具有的积极作用。提出加强教育者共情意识,家校合力,建立轻松和谐的交往氛围,促进教育者与受教育者之间关系融洽。

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.

How Does the Film Raise the Red Lantern Explore the Oppression of Women by the Patriarchal Society in China

With the gradual improvement of Chinese women’s status in the 21st-century,gender studies and gender relations had become one of the hottest topics in Chinese society,which consequently prompted Chinese Women’s Cinema to attract the attention of larger audiences.Therefore,many researchers have focused their research on Chinese Women’s Cinema,but at present,it seems that there is still a research gap to discuss and analyze the changes in women’s status and identity in China in recent years.This paper will take the famous early Chinese Women’s Cinema Raise the Red Lantern as an example for discussion and analysis.The purpose of this paper is to discuss the oppression of women in Chinese feudal patriarchal society through the details in the film Raise the Red Lantern.The significance of this paper is to appeal for gender equality in China by analyzing the oppression of women by the feudal patriarchal society in the film Raise the Red Lantern.Through careful analysis and research,it is concluded that the film Raise the Red Lantern profoundly criticizes the oppression and exploitation of women and vulnerable groups by the Republic of China through shooting details.At the same time,it is in sharp contrast with the independent thought and social status of Chinese women in the 21st-century.

The Protection of the Right to Equality of the Elderly in the Digital Society

The inequality faced by the elderly in a digital society is the digital inequality caused by both public and private actions,as well as the societal inequality exacerbated by the digital inequality.The essence of this issue lies in the unequal social participation due to the expansion of digital space under digital inequality.The characteristics of the elderly,combined with their inherent human dignity,determine that the ultimate goal of protecting their right to equality in a digital society is not limited to equal digital rights alone.Instead,it aims to ensure that the elderly have equal opportunities for social participation in both digital and non-digital spaces by eliminating digital inequality and curbing the expansion of digital space.This ensures the autonomy of the elderly in the digital society.Accordingly,the State should implement two policies based on both prohibitive obligations that prevent direct infringements and protective obligations that safeguard the equal rights of the elderly against encroachments from private entities.The first policy,“Digital Integration”,empowers the elderly with digital skills and helps them actively integrate into the digital society.The second policy,“Digital Coexistence,”ensures that the elderly can equally participate in society even when they choose to abstain from digital technology.

Procreation Anxiety in Climate Crisis:Comparative Analysis of The Smog Society and Diary of an Interesting Year

The deterioration of the environment caused by climate change has been entangled with other factors to wane people’s desire for having children.This paper takes two climate short stories,The Smog Society by the Chinese SF author Chen Qiufan and Diary of an Interesting Year by the British writer Helen Simpson as case studies,comparing the writing of the climate change induced fertility anxiety in the two stories from both the individual and community perspectives.By associating the textual analysis with the social reality about fertility rate in China and Britain,the paper explores performance and coping methods of fertility anxiety in the face of climate crisis,aimed at providing possible solutions for the sustainable development of population.

中国技能型社会建设的问题背景、结构设计与路径规划

“技能型社会建设”课题的提出是我国职业教育发展具有历史转折意义的重要事件,它使职业教育发展从系统建设内部要素,转向了系统建设外部社会条件,核心任务是通过建设技能型社会为职业教育发展创造条件,解决职业教育发展中的深层社会问题,满足产业发展对技能人才的需求。技能形成过程包括四个关键环节,即理性的教育选择、丰富的技能训练机会供给、有效的技能配置与合理的技能劳动成果认定,它们构成了技能型社会的基本结构。合理的教育选择观念是技能型社会建设的逻辑起点,对教育选择观念产生关键性影响的因素存在于技能训练机会供给、技能配置、技能劳动成果认定这三个环节。技能型社会建设,要根据各因素相互作用关系聚焦问题解决关键点,根据各因素问题解决的难易程度规划建设进程,根据各因素的职能归属规划技能型社会建设任务落实主体,根据各因素作用的性质设计有针对性的解决策略。

“研究翻译话翻译”对话录

20世纪缘起的翻译标准大讨论方兴未艾。在新的历史发展时期,由于翻译研究的多元化和有关评价体系的变化,翻译实践这一经典问题有了重新讨论和阐释的必要。翻译实践在译学界的地位和功能是什么?翻译专业学生培养如何与社会需求有效对接?为此,周领顺教授、孟祥春教授、冯全功教授、任东升教授、李正栓教授和王理行编审以“翻译实践之史”“翻译实践之理”“翻译实践之功”“翻译实践之练”“翻译实践之趣”和“翻译实践之需”为主题发表了真知灼见,以期对译学界学者的翻译研究以及现阶段翻译专业硕士和未来翻译专业博士的培养发挥积极的指导或借鉴作用。

我国城市更新规划的演进与转型——基于“政府—市场—社会”关系分析框架

政府、市场与社会的关系决定城市更新的策略与走向。借鉴“政府—市场—社会”关系分析框架,以北上广深为例,梳理我国特大城市自21世纪以来城市更新的变迁,阐述其规划响应策略。针对近年来我国城市更新规划策略的转向,分析我国宏观社会经济环境的变化,并就城市更新中的“政府—市场—社会”关系进行解读,随后对城市更新中的战略转向进行探讨。

城镇化快速推进背景下新乡村的空间分化及其治理转向

进入新时代以来,城市化的持续扩张和国家乡村振兴战略的积极推进极大地促进了乡村传统物理空间的迭代更新、传统社会空间的现代性转变以及新型数字空间的全面建设。在城镇化发展较为突出的新乡村,乡村社会从静态稳定的空间状态向流动易变的多维空间复合体迅速转型。基于此事实,为了回应时代发展要求,科学建构与乡村社会发展水平相适应的空间治理范式,有必要深入分析城镇化快速推进地区乡村社会在现代化进程中所展现出来的空间机制和空间变化过程,充分揭示其衍生的多维空间张力,从而为新乡村社会空间治理实践提供理论基础。新乡村社会空间治理须注重乡村社会的多维空间特性及其治理的空间内涵,将乡村空间视为重要的实践对象和治理资源,重视空间正义,尊重村民主体性,科学整合多重空间资源,进而推动乡村社会从静态的“空间中治理”到动态的“空间治理”的治理转向。

人工智能治理中“基于风险的方法”:理论、实践与反思

以生成式人工智能为代表的新一轮人工智能技术带来了一系列规制挑战,而传统的“基于权利的方法”难以有效因应。“基于风险的方法”主张根据人工智能所带来的不同类型和等级的风险,采取相应的治理措施和方式,平衡技术创新与有效治理的关系。这是一种符合人工智能风险特性和发展规律的治理方法,以风险社会、适应性治理和回应性规制等理论为指引,以风险识别与分析、风险评估与分类、风险控制与监督、风险沟通与参与作为制度构成。在基于风险的人工智能治理实践中,欧盟、美国和中国分别采取“自上而下模式”“自下而上模式”“混合模式”,并取得了初步成效。然而,人工智能治理中“基于风险的方法”也面临批判和质疑,应当构建多元共治的人工智能风险治理体系,并建立动态适应的人工智能风险治理机制,同时搭建开放协作的人工智能风险治理平台。