Automatic Generation of Attribute-Based Access Control Policies from Natural Language Documents

In response to the challenges of generating Attribute-Based Access Control(ABAC)policies,this paper proposes a deep learning-based method to automatically generate ABAC policies from natural language documents.This method is aimed at organizations such as companies and schools that are transitioning from traditional access control models to the ABAC model.The manual retrieval and analysis involved in this transition are inefficient,prone to errors,and costly.Most organizations have high-level specifications defined for security policies that include a set of access control policies,which often exist in the form of natural language documents.Utilizing this rich source of information,our method effectively identifies and extracts the necessary attributes and rules for access control from natural language documents,thereby constructing and optimizing access control policies.This work transforms the problem of policy automation generation into two tasks:extraction of access control statements andmining of access control attributes.First,the Chat General Language Model(ChatGLM)isemployed to extract access control-related statements from a wide range of natural language documents by constructing unique prompts and leveraging the model’s In-Context Learning to contextualize the statements.Then,the Iterated Dilated-Convolutions-Conditional Random Field(ID-CNN-CRF)model is used to annotate access control attributes within these extracted statements,including subject attributes,object attributes,and action attributes,thus reassembling new access control policies.Experimental results show that our method,compared to baseline methods,achieved the highest F1 score of 0.961,confirming the model’s effectiveness and accuracy.

POLICIES

China to Maintain Supportive Monetary Policy in 2025 China’s central bank will maintain a supportive monetary policy stance and policy orientation in 2025,its governor said.The People’s Bank of China(PBOC)will utilize a variety of monetary policy tools and increase countercyclical regulation to maintain reasonable and ample liquidity,and to reduce the overall financing costs for enterprises and residents,PBOC governor Pan Gongsheng said while addressing a conference.Efforts will be made to effectively leverage structural monetary policy tools to promote the stable development of the real estate market and capital market,Pan said.The PBOC announced that starting from January 2025,a new statistical caliber of M1 money supply will be implemented,which will include personal demand deposits and non-bank payment institutions’customer reserves.The central bank will enhance its monitoring of the money supply at various levels and social liquidity,Pan noted.

CAN INCREMENTAL POLICIES SOLVE EMPLOYMENT PROBLEMS?

On October 8,the Information Office of the State Council of the People’s Republic of China held a press conference to outline the steps of“systematically implementing a package of incremental policies to solidly promote economic growth,structural optimization and sustained momentum of development”in the wake of the Third Plenary Session of the 20th Central Committee of the Communist Party of China.The series of policy measures mentioned at the press conference all demonstrated strong continuity,stability,and sustainability.The package of incremental policies reflects three“more attentions,”namely:more attention on improving the quality of economic development,more attention on supporting the healthy development of the real economy and business entities,and more attention on coordinating high-quality development and high-level security.One central goal is to promote high-quality full employment.

Dynamic evaluation of digital and green development policies based on text mining of the PMC framework

Aiming to identify policy topics and their evolutionary logic that enhance the digital and green development(dual development)of traditional manufacturing enterprises,address weaknesses in current policies,and provide resources for refining dual development policies,a total of 15954 dual development-related policies issued by national and various departmental authorities in China from January 2000 to August 2023 were analyzed.Based on topic modeling techniques and the policy modeling consistency(PMC)framework,the evolution of policy topics was visualized,and a dynamic assessment of the policies was conducted.The results show that the digital and green development policy framework is progressively refined,and the governance philosophy shifts from a“regulatory government”paradigm to a“service-oriented government”.The support pattern evolves from“dispersed matching”to“integrated symbiosis”.However,there are still significant deficiencies in departmental cooperation,balanced measures,coordinated links,and multi-stakeholder participation.Future policy improvements should,therefore,focus on guiding multi-stakeholder participation,enhancing public demand orientation,and addressing the entire value chain.These steps aim to create an open and shared digital industry ecosystem to promote the coordinated dual development of traditional manufacturing enterprises.

Science and Technology Promotion Policies of Strategic Emerging Industries in Anhui Province

In recent years,based on advantages of industry,market,science and technology and other development environment,strategic emerging industries in Anhui Province are developing rapidly,and emerging industries such as new energy,new materials,new generation of information technology occupy an important market share in China and even the world.However,there are still a number of problems in the process of development,and the policy support has a greater impact.In this paper,the development status of strategic emerging industries in Anhui Province was discussed firstly,and then the challenges and problems of the development was discussed.Finally,some science and technology promotion policies of strategic emerging industries in Anhui Province were proposed.

Does Financial Globalization Discipline Macroeconomic Policies

Using the unbalanced panel data of 160 countries from 1970 to 2007,we employ inflation and the budget deficit as proxies for monetary policy and fiscal policy,respectively,and study whether financial globalization has discipline effects on these macroeconomic policies.The empirical results in our study suggest a significant discipline effect of financial globalization on monetary policy during the entire sample period,which is robust both to de jure and to de facto measures of financial openness.Our sub-sample investigations demonstrate that financial globalization reduces inflation only in higher-middle-income and high-income countries,and when financial globalization is scaled by the proportion of a country’s foreign assets and liabilities to its GDP,the discipline is evident only after 1988.Nevertheless,we do not demonstrate any evidence of financial globalization’s discipline effect on fiscal policy.The empirical results indicate that financial globalization even increases the budget deficit in certain countries and periods.

Analyzing Disaster Mitigation Policies in Japan and China from an Eco-DRR Perspective:A Comparative Study of Shanghai and Tokyo

Global climate change-induced natural disasters require international efforts and the adoption of Eco-Disaster Risk Reduction(Eco-DRR)policies for sustainable development.This study examines the status of Eco-DRR in disaster prevention policies through word cloud analysis,providing insights for policymakers to enhance disaster prevention amid increasing climate-related challenges.Tokyo and Japan prioritize soft aspects,while Shanghai and China emphasize engineering for flood prevention,revealing a gap in Eco-DRR application.Despite these differing approaches,the shared focus on water-related disasters indicates a shift towards urban resilience.Future research should assess policy effectiveness and the impact of Eco-DRR on disaster risk reduction and ecosystem protection.

A review of cathode and electrolyte recovery from spent lithium-ion batteries: Recent technologies, processes and policies

Recently,lithium-ion batteries(LIBs),due to their superior performance,have been vastly applied in electronic,auto,and other industries,resulting in the generation of an increasing amount of spent LIBs.What’s worse,LIBs contained potentially toxic substances,including heavy metals,toxic and flammable electrolyte containing LiBF_(4),LiClO_(4),and LiPF_(6).Conventional disposal of spent LIBs via landfill or incineration exerts tremendous pressure on the environment.It was necessary to adopt efficient,low-cost,and environmentally friendly approaches to valorizing spent LIBs,which could not only alleviate the shortage of rare resources by recycling valuable ele-ments such as Cu,Li,Mn,Ni,Co,and Al,but also eliminate the pollution of harmful components in batteries and realize the recycling and sustainable industry related to consumer electronics and electric vehicles(EVs).Given this,this paper summarized the recycling technologies of spent LIBs,including pyrometallurgy(melting reduction and roasting methods)and hydrometallurgy(leaching,precipitation,extraction,ion-exchange,elec-trochemical,sol-gel methods),and electrolyte recycling(organic solvent extraction and supercritical extraction methods).Pyrometallurgy technologies had relatively decent metal recovery rates but were associated with high energy consumption and atmospheric emission issues.Hydrometallurgical technologies were more environ-mentally friendly and efficient in recovering spent LIBs,although disposing of the wastewater generated from the process remained a challenge.In addition,the different industrial processes and various countries’related policies of recycling spent LIBs were investigated.In the end,the outlooks and future directions of recycling spent LIBs were proposed.

Path Analysis of High-Quality Development of Regional Economy The Role and Impact of Industrial Policies

With China’s economic development entering a new normal,high-quality regional economic development has become an important goal of current economic development.As one of the important means to promote high-quality development of the regional economy,industrial policies are increasingly receiving attention in terms of their role and impact.This article mainly conducts an in-depth analysis of the mechanism and impact path of industrial policies,exploring the role and impact of industrial policies in promoting high-quality regional economic development.Firstly,industrial policies play an important role in promoting high-quality regional economic development.Secondly,the impact path of industrial policies on the high-quality development of the regional economy mainly includes promoting industrial structure upgrading,promoting technological innovation,guiding resource allocation,and enhancing enterprise competitiveness.Therefore,it is necessary to increase research and practice on industrial policies,continuously optimize policy measures,and promote high-quality development of the regional economy.

Will the perceptions to incentive policies have any effect on users' willingness to participate in Mobility-as-a-Service?

With the increasing severity of urban traffic congestion and environmental pollution issues,Mobility-as-a-Service(MaaS)has garnered increasing attention as an emerging mode of transportation.Thus,how to motivate users to participate in MaaS has become an important research issue.This study first classified the incentive policies into four aspects:financial incentive policy,non-financial incentive policy,information policy,and convenience policy.Then,through online questionnaires and field interviews,456 sets of data were collected in Beijing,and the data were analyzed by the structural equation model and latent class model.The results show that the four incentive policies are positively correlated with users'participation in MaaS,among which financial incentive policy and information policy have the greatest impact,that is,they can better encourage users by increasing direct financial subsidies and broadening the information about MaaS.In addition,Latent Class Analysis was performed to class different users and it was found that the personal characteristics of users had some influence on willingness to participate in MaaS.Therefore,incentive policies should be designed to consider the needs and characteristics of different user groups to improve their willingness to participate in MaaS.The results can provide theoretical suggestions for the government to promote the widespread application of MaaS in urban transportation.

Multi-disciplinary seismic resilience modeling for developing mitigation policies and recovery planning

The multi-disciplinary data and information available at a community level comprise the foundation of natural hazard resilience modeling.These data enable and inform mitigation and recovery planning decisions prior to and following damaging events such as earthquakes.This paper presents a multi-disciplinary seismic resilience mod-eling methodology to assess the vulnerability of the built environment and economic systems.This methodology can assist decision-makers with developing effective mitigation policies to improve the seismic resilience of com-munities.Two complementary modeling strategies are designed to examine the impacts of scenario earthquakes from a combined engineering and economic perspective.The engineering model is developed using a probabilis-tic fragility-based modeling approach and is analyzed using Monte Carlo(MC)simulations subject to seismic multi-hazard,including simulated ground shaking and resulting liquefaction of the soil,to quantify the physical damage to buildings and electric power substations(EPS).The outcome of the analysis is subsequently used as input to repair and recovery models to quantify repair cost and recovery time metrics for buildings and as input to functionality models to estimate the functionality of individual buildings and substations by accounting for their interdependency.The economic model consists of a spatial computable general equilibrium(SCGE)model that aggregates commercial buildings into sectors for retail,manufacturing,services,etc.,and aggregates residential buildings into a wide range of household groups.The SCGE model employs building functionality estimates to quantify the economic losses.The outcomes of this integrated modeling consist of engineering and economic impact metrics,which are used to investigate mitigation actions to help inform a community on approaches to achieve its resilience goals.An illustrative case study of Salt Lake County(SLC),Utah,developed through an extensive collaborative partnership and engagement with SLC officials,is presented.The results demonstrate the effectiveness of the proposed methodology in quantifying the loss and functional recovery of infrastructure systems,the impacts on capital stock,employment,and household income and the effect of various mitigation strategies in reducing the losses and functional recovery time subject to earthquakes with varying intensities.

The Way to Optimize the Right to Personal Data Portability in Chinese Practice——Based on Empirical Analysis of the Privacy Policies of 66 Mobile Apps

Although the existing legal norms and judicial practic-es can provide basic guidance for the right to personal data portabili-ty, it can be concluded that there are obstacles to the realization of this right through empirical research of the privacy policies of 66 mobile apps, such as whether they have stipulations on the right to personal data portability, whether they are able to derive copies of personal in-formation automatically, whether there are textual examples, whether ID verification is required, whether the copied documents are encrypt-ed, and whether the scope of personal information involved is consis-tent. This gap in practice, on the one hand, reflects the misunderstand-ing of the right to personal data portability, and on the other hand, is a result of the negative externalities, practical costs and technical lim-itations of the right to personal data portability. Based on rethinking the right to data portability, we can somehow solve practical problems concerning the right to personal data portability through multiple measures such as promoting the fulfillment of this right by legislation, optimizing technology-oriented operations, refining response process mechanisms, and enhancing system interoperability.

Analysis and Innovative Strategies of Tax Preferential Policies to Promote the Sustainable Development of Small-Scale Individual Businesses

This study conducted an in-depth analysis of the current tax preferential policies for small-scale individual businesses and compared them with similar policies both domestically and internationally,aiming to reveal the advantages and disadvantages of the current system.After examining the impact of these tax preferential policies on the economic status of individual business owners and the broader social economy,this article proposes a set of innovative tax preferential strategies based on theoretical foundations.By developing these innovative strategies and clarifying their implementation paths,the aim is to promote the sustainable and healthy development of small-scale individual businesses,thereby fostering comprehensive socio-economic progress.The conclusion of this study not only summarizes policy recommendations with practical significance but also provides theoretical support for the optimization and innovation of future related systems.

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.

我国“双一流”建设高校高层次人才政策研究

本研究抽样选取我国4个地区17所“双一流”建设高校高层次人才政策文本,构建“政策工具政策内容要素”二维分析框架,探讨高层次人才政策工具和政策内容要素的组合方式与地区差异。研究发现,我国“双一流”建设高校高层次人才政策的环境型政策工具使用不足,尤其是西部高校的环境型政策工具亟待加强;需求型政策工具中教师培育政策子工具使用不足;南部、西部和北部地区高校对人才培养政策的关注度不够。我国“双一流”建设高校在制定高层次人才政策时,应适度增强环境型政策工具的运用,进一步完善和充实教师培育相关政策;西部地区高校应改善办公实验条件,提高团队建设水平;南部、西部和北部高校应加快制定人才培养相关政策。

基于近端策略优化的两栖无人平台路径规划算法研究

为解决水陆两栖无人平台在复杂环境中的路径规划问题,针对传统方法难以应对动态障碍物和多变环境的局限性,提出了一种基于近端策略优化(PPO)的路径规划算法,包含四种感知信息输入方案以及速度强化奖励函数,适应动态和静态环境.该算法通过批次函数正则化、策略熵引入和自适应裁剪因子,显著提升了算法的收敛速度和稳定性.研究中采用了ROS仿真平台,结合Flatland物理引擎和PedSim插件,模拟了包含动态障碍物的多种复杂场景.实验结果表明,采用BEV+V状态空间输入结构和离散动作空间的两栖无人平台,在路径规划中展现出高成功率和低超时率,优于传统方法和其他方案.仿真和对比实验显示采用鸟瞰图与速度组合的状态空间数据结构配合速度强化奖励函数算法提高了性能,收敛速度提高25.58%,路径规划成功率提升25.54%,超时率下降13.73%.

以中央主导型产业政策推进全国统一大市场建设

地方主导型产业政策加深了“行政区经济”的市场壁垒和地方保护,严重阻碍全国统一大市场建设。当前迫切需要以中央主导型产业政策推进全国统一大市场建设。重点方向是通过缓解要素市场和中间品市场交易壁垒来降低生产端的市场交易成本,通过缓解商品市场分割来降低消费端的市场交易成本。中央主导型产业政策推进全国统一大市场建设,具体在于促进要素自由流动和公平竞争,消除地方政府使用产业政策搞“自我小循环”的各种因素;充分发挥中央主导型产业政策的“统一”作用,降低地方主导型产业政策的“分割”性;积极推动地方政府之间的沟通交流,将区域协调发展战略的实施作为开展全国统一大市场建设的推进器。

新加坡的语言政策与国家安全

新加坡的语言政策与国家身份建构息息相关,因而一直受到学界的关注。然而,国家安全是新加坡国家身份建构的前提。因此,本文从国家安全的视角出发,分析了语言政策在新加坡的国际政治安全、国内社会安全、经济安全和文化安全等方面所起的作用,指出新加坡的双语制制造了新加坡语言身份与文化身份的割裂,在一定程度上阻碍了新加坡文化安全的实现,可能最终威胁到新加坡的国家安全。

绿色信贷贴息政策与企业环境信息披露质量——基于自愿性与强制性披露动机下的机制分析

披露高质量的环境信息不仅是企业环境管理制度的制订基础,也是推动生态环境治理体系和治理能力现代化的重要举措。本文基于2008~2023年上市公司样本,使用渐进双重差分法,实证检验了绿色信贷贴息政策对企业环境信息披露质量的激励效应及其作用机制。研究发现:(1)财政与金融相协调的绿色信贷贴息政策能显著改善企业环境信息披露质量;(2)核心机制在于自愿性披露机制和强制性披露机制,前者主要是通过降低债务融资成本和增加高管绿色认知得以实现,后者表现为通过政府监管水平提升引致的合规效应强制企业提高环境信息披露质量;(3)政策在非国有企业、劳动密集型企业和市场化程度高的地区存在更强的激励效应。本文结论为其他激励性绿色金融政策的制定与完善提供理论依据与决策参考。

遮蔽、澄明与“双减”:创新人才涌现的哲学基础与关键

自然科学基础学科中的拔尖创新人才何以涌现是当下中国的核心论题,其哲学基础和关键能否得以揭示关系到教育观念变革和教育实践定向。此论题同时关涉“双减”这一教育政策概念尚未被把握的本质。在《科学革命的结构》以及库恩一系列论述中,范式与教-学间的联系是常规科学时期科学教育的本质所涉,不适当的教-学会在学生头脑中形成范式陷阱。范式陷阱作为隐喻与海德格尔的“遮蔽”隐喻虽有不同但高度类似,彼此唤醒。教-学中的教科书以“真”的文字和语言形成了作为掩埋的遮蔽而类似“陷阱”,扭曲/失真的遮蔽使反常现象难以被“看见”和发现,改信的困难凸显范式陷阱作为“陷阱”的特征。在海德格尔处,真理的本质揭示自身为自由,即不被旧范式遮蔽的自由或不陷入范式陷阱的自由。Doublelighten作为英译方使“双减”概念中隐藏不露的微光与澄明得以显露。与遮蔽相对的隐喻是澄明,减少本科学习量和“双减”的哲学本质在澄明。澄明和自由是自然科学领域真理发现和创新人才涌现的本质和关键,全民族始终要将学生在(旧)范式中、在不断增长的知识和技术中所保有的澄明和自由视为珍宝。本文是勾连库恩和海德格尔的一次尝试。