The Role of Government in the Socialization of Old- age Service

In the different stages of the development of the old-age service, the responsibility and function of the government will be different. In the new period, the government should redefine its role in advancing the socialization of the old-age service. The level of socialization of old-age services is not high, the lack of vitality of the pension market, the imperfect system and other problems arise because the government is not clear. The government should deal with the relationship between the main body of the market and avoid the ＇double failure＇ of the government and the market. The government should play a guiding role in the policy, laws and regulations and other aspects of good service work for the social services of the elderly to provide a good development environment.

Preliminary Exploration on Socialization of Meteorological Services

Socialization of meteorological services is important guarantee of servicing national major development strategy,strategic selection of adapting to national reform,urgent need of meeting the development of related industries,and necessary way of solving public demand on meticulous,targeted and personalized meteorological services. At present,socialization construction of meteorological services in China still has many problems,such as weak service capability of intelligent weather,inadequate and imbalanced urban-rural and regional development,insufficient sharing and opening of meteorological data,and deficient role of social organization. It should vigorously impel socialization of meteorological services by exploring sharing and opening mechanism of basic meteorological data,establishing policy,regulation and standard system adapting to socialization of meteorological services,establishing operation mechanism for socialization of meteorological services of government dominance combining market,enriching content and means of meteorological socialization service.

Research on the Socialization of Grassroots Meteorological Services in Agricultural Supply-side Structural Reform

In 2017, the No. 1 Document of the Central Committee proposed that "it is necessary to further promote agricultural supply-side structural reform, accelerate the cultivation of new kinetic energy for agricultural and rural development, and create a new situation in the construction of agricultural modernization". Under the new normal, Zhejiang s agricultural development shows new characteristics and new trends of speed change, structural optimization, and power conversion, and meteorological services for agriculture have stronger demands, higher requirements, and heavier tasks. The socialization of meteorological services is a new type of system arrangement for the provision of meteorological services, and aims to provide high-quality and efficient meteorological service products for the public and promote the equalization of basic meteorological services in urban and rural areas. In this study, through research on the socialization of grassroots meteorological services in a new situation, a new way of the government to provide public weather services is proposed, and a mechanism of the government to purchase public meteorological services is established;social resources and forces are organized and guided to develop the innovation system and mechanism of public weather services, and social resources are fully mobilized to meet the demand for meteorological services in the process of agricultural supply-side structural reform.

A Study on the Path of Promoting the Socialization Level of the Old--age Service in Internet

The rapid development of Intemet＋ has accelerated the integration with the traditional industry, the field of pension services is no exception, the State Department issued in 2015, ＂on the positive promotion of the Internet ＋＂ action guidance ＂clearly put forward＂ to promote the wisdom of health care industry development ＂The goal of the task, and now, the Intemet＋ has been inserted for the old age of a pair of wings, the application of technology to promote the development of pension industry. This paper analyzes the status quo of socialization of old - age service, the use ofInternet ＋ technology, to achieve the traditional pension services and the latest network technology in depth integration, scientific analysis to explore the relevant path. Intemet ＋ era of the path to choose from the following aspects Finally, Top-level design should strengthen the formulation of government policy system, promote departmental collaboration, strengthen the development of information technology standards. In addition to establish a sound network information pension service system

The role of the government in the socialization of the pension service

In the different stages ofthe development ofthe pension service, the government＇s responsibilities and functions are different. in the new era, the government should redefine its role in promoting the socialization of the provision of services for the aged.The government should deal with the relationship between the principal and the government and avoid the ＂double failure＂ of the government and the market.The government should play a leading role and do a good job in policies, laws and regulations so as to provide a good environment for the socialization of the pension service.

Deep Reinforcement Learning-Based Task Offloading and Service Migrating Policies in Service Caching-Assisted Mobile Edge Computing

Emerging mobile edge computing(MEC)is considered a feasible solution for offloading the computation-intensive request tasks generated from mobile wireless equipment(MWE)with limited computational resources and energy.Due to the homogeneity of request tasks from one MWE during a longterm time period,it is vital to predeploy the particular service cachings required by the request tasks at the MEC server.In this paper,we model a service caching-assisted MEC framework that takes into account the constraint on the number of service cachings hosted by each edge server and the migration of request tasks from the current edge server to another edge server with service caching required by tasks.Furthermore,we propose a multiagent deep reinforcement learning-based computation offloading and task migrating decision-making scheme(MBOMS)to minimize the long-term average weighted cost.The proposed MBOMS can learn the near-optimal offloading and migrating decision-making policy by centralized training and decentralized execution.Systematic and comprehensive simulation results reveal that our proposed MBOMS can converge well after training and outperforms the other five baseline algorithms.

Spatiotemporal variations in ecosystem services and their trade-offs and synergies against the background of the gully control and land consolidation project on the Loess Plateau,China

Studying the spatiotemporal variations in ecosystem services and their interrelationships on the Loess Plateau against the background of the gully control and land consolidation(GCLC)project has significant implications for ecological protection and quality development of the Yellow River Basin.Therefore,in this study,we took Yan'an City,Shaanxi Province of China,as the study area,selected four typical ecosystem services,including soil conservation service,water yield service,carbon storage service,and habitat quality service,and quantitatively evaluated the spatiotemporal variation characteristics and trade-offs and synergies of ecosystem services from 2010 to 2018 using the Integrated Valuation of Ecosystem Services and Trade-offs(InVEST)model.We also analysed the relationship between the GCLC project and regional ecosystem service changes in various regions(including 1 city,2 districts,and 10 counties)of Yan'an City and proposed a coordinated development strategy between the GCLC project and the ecological environment.The results showed that,from 2010 to 2018,soil conservation service decreased by 7.76%,while the other three ecosystem services changed relatively little,with water yield service increasing by 0.56% and carbon storage service and habitat quality service decreasing by 0.16% and 0.14%,respectively.The ecological environment of Yan'an City developed in a balanced way between 2010 and 2018,and the four ecosystem services showed synergistic relationships,among which the synergistic relationships between soil conservation service and water yield service and between carbon storage service and habitat quality service were significant.The GCLC project had a negative impact on the ecosystem services of Yan'an City,and the impact on carbon storage service was more significant.This study provides a theoretical basis for the scientific evaluation of the ecological benefits of the GCLC project and the realization of a win-win situation between food security and ecological security.

Exploring the Spatiotemporal Changes and Driving Forces of Ecosystem Services of Zhejiang Coasts,China,Under Sustainable Development Goals

Ecosystem services(ESs)refer to the continuous provisioning of ecosystem goods and services that benefit human beings.Over recent decades,rapid urbanization has exerted significant pressure on coastal ecosystems,resulting in biodiversity and habitat loss,environmental pollution,and the depletion of natural resources.In response to these environmental challenges,the Sustainable Development Goals(SDGs)were proposed.Given the pressing need to address these issues,understanding the changes in ESs under the SDGs is crucial for formulating specific ecological strategies.In this study,we first analyzed land use and cover change in the Zhejiang coasts of China during 2000–2020.Then,we investigated the spatiotemporal configuration of ESs by integrating carbon storage(CS),soil retention(SR),habitat quality(HQ)and water yield(WY)using the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model.The driving mechanisms of ESs,which varied by space and time,were also explored using the Geo-detector method.The results revealed that,over the past two decades:1)the Zhejiang coasts have experienced a significant increase of 2783.72 km^(2) in built-up land areas and a continuous decrease in farmland areas due to rapid urbanization;2)owing to higher precipitation,extensive vegetation cover,and reduced anthropogenic disturbances,forests emerge as a crucial land use type for maintaining ecosystem services such as HQ,CS,WY,and SR;3)ESs have generally declined across the entire Zhejiang coasts,with a significant decrease observed in the northern areas and an increase in the southern areas spatially;4)the expansion of built-up land areas emerged as the primary factor affecting ecosystem services,while the vegetation factor has been increasingly significant and is expected to become predominant in the near future.Our study provides insights of understanding of ecosystem service theory and emphasizing the importance of preserving biodiversity for long-term sustainable development,and valuable scientific references to support the ecological management decision-making for local governments.

Cloud Datacenter Selection Using Service Broker Policies:A Survey

Amid the landscape of Cloud Computing(CC),the Cloud Datacenter(DC)stands as a conglomerate of physical servers,whose performance can be hindered by bottlenecks within the realm of proliferating CC services.A linchpin in CC’s performance,the Cloud Service Broker(CSB),orchestrates DC selection.Failure to adroitly route user requests with suitable DCs transforms the CSB into a bottleneck,endangering service quality.To tackle this,deploying an efficient CSB policy becomes imperative,optimizing DC selection to meet stringent Qualityof-Service(QoS)demands.Amidst numerous CSB policies,their implementation grapples with challenges like costs and availability.This article undertakes a holistic review of diverse CSB policies,concurrently surveying the predicaments confronted by current policies.The foremost objective is to pinpoint research gaps and remedies to invigorate future policy development.Additionally,it extensively clarifies various DC selection methodologies employed in CC,enriching practitioners and researchers alike.Employing synthetic analysis,the article systematically assesses and compares myriad DC selection techniques.These analytical insights equip decision-makers with a pragmatic framework to discern the apt technique for their needs.In summation,this discourse resoundingly underscores the paramount importance of adept CSB policies in DC selection,highlighting the imperative role of efficient CSB policies in optimizing CC performance.By emphasizing the significance of these policies and their modeling implications,the article contributes to both the general modeling discourse and its practical applications in the CC domain.

Growing Market Demand for After-Sales Service Management

With the background of the current economic globalization and informatization,how to improve the quality of after-sales services and meet the diversified needs of consumers has become an important issue that the industry has had to face and solve.Recently,the“report on 2022-2028 after-sales service management industry market competition analysis and development strategic planning assessment forecast”(hereinafter referred to as the“Report”)released by CICC Consulting pointed out that the high penetration rate of electronic information products.

The Digitization of Public Services and Its Contribution to the Quality of Service in Relation to User Satisfaction

In recent years, some governments have been working on solutions to transform public administrations and provide high-quality services to users. The United Nations has recommended integrating digital technology into various aspects of life, including public services. The objective is to offer real-time, high-quality digital services, improve the delivery of public services, enhance their effectiveness and efficiency, while achieving objectives such as transparency, interoperability and citizen satisfaction. However, most governments in developing countries are unable to keep up with this trend. As a result, they often create digital public services that fall short of users’ expectations. This study aims to identify the fundamental factors influencing the quality of service in relation to user satisfaction and to explore the relevance of digital technology in implementing this quality within Cameroon public administrations. To achieve this, we used a qualimetric research method, which included non-directive interviews, questionnaires, and structured observations. The results showed that the public services offered in our study environment did not meet users’ expectations. However, the study identified the fundamental aspects to be considered in providing quality public services connected to user satisfaction, as well as the strengths of digitization in achieving this quality.

Analysis of the Characteristics and Development Direction of Services Trade in Shandong Province of China

Shandong is a significant province for foreign trade in China;however,it still faces shortcomings in the development of its service trade,as outlined below.Firstly,the scale of service trade is limited.Shandong’s service trade volume ranked sixth in China in 2022,lagging considerably behind Shanghai,Guangdong,Beijing,Zhejiang,and Jiangsu.Secondly,the proportion of service trade in Shandong compared to the overall national services trade volume falls below the national average,with the per capita scale even lower than the national average.Thirdly,Shandong’s service trade accounts for less than 10% of the province’s foreign trade,which is 3 percentage points below the national average.The insufficient development of Shandong’s service trade is mainly attributed to the weak performance of its own service industry and the limited scale of attracting foreign services investment.Accelerating the development of producer services in Shandong,promoting the intelligent upgrading of consumer services,and continuously promoting reform and opening up in the service sector will be conducive to achieving high-quality development of services trade in Shandong.

Bolzano Traffic: An Example of Open ITS Deployment for Advanced Traveller Information Services

This paper aims to present the experience gathered in the Italian alpine city of Bolzano within the project“Bolzano Traffic”whose goal is the introduction of an experimental open ITS platform for local service providers,fostering the diffusion of advanced traveller information services and the future deployment of cooperative mobility systems in the region.Several end-users applications targeted to the needs of different user groups have been developed in collaboration with local companies and research centers;a partnership with the EU Co-Cities project has been activated as well.The implemented services rely on real-time travel and traffic information collected by urban traffic monitoring systems or published by local stakeholders(e.g.public transportation operators).An active involvement of end-users,who have recently started testing these demo applications for free,is actually on-going.

Accessibility and Fairness of Public Service Facilities from the Perspective of Supply and Demand Coordination: A Case Study of Old Urban Area of Guangzhou City

The accessibility and fairness of public service facilities are important manifestations of the convenience and equality of urban public service resource allocation.Optimizing the layout of urban public service facilities is an inevitable requirement for promoting the construction of people centered cities.This paper takes the old urban area of Guangzhou as the research area,measures the accessibility of multiple types of public service facilities based on an improved two-step floating catchment method,and combines Palma Ratio and location quotient methods to explore the fairness of urban public service facilities from two dimensions:social equity and spatial equity,with supply and demand relationship analysis as the main line.Research has shown that:①there is a significant spatial difference in the accessibility of public service facilities in the old urban areas of Guangzhou,and the comprehensive accessibility is generally higher in the central and southeastern regions of the old urban areas with fewer residential populations;②from the perspective of social equity,the resource allocation of public service facilities in the old urban areas of Guangzhou is in a seriously unfair state(with a fairness index of 2.99),and there are also varying degrees of unfairness within the streets;③from the perspective of spatial equity,the location quotient of public service facilities in the old urban areas of Guangzhou shows a pattern of multil center circles decreasing,indicating a significant spatial mismatch between the accessibility supply side of public service facilities and the demand side of the residential population.The research conclusion will provide scientific basis for optimizing the allocation of urban public service facilities and ensuring the equalization of public services.

Neural Network-Based State Estimation for Nonlinear Systems With Denial-of-Service Attack Under Try-Once-Discard Protocol

Dear Editor,This letter deals with state estimation issues of discrete-time nonlinear systems subject to denial-of-service(DoS)attacks under the try-once-discard(TOD)protocol.More specifically,to reduce the communication burden,a TOD protocol with novel update rules on protocol weights is designed for scheduling measurement outputs.In addition,unknown nonlinear functions vulnerable to DoS attacks are considered due to the openness and vulnerability of the network.

Detection of Real-Time Distributed Denial-of-Service (DDoS) Attacks on Internet of Things (IoT) Networks Using Machine Learning Algorithms

The primary concern of modern technology is cyber attacks targeting the Internet of Things.As it is one of the most widely used networks today and vulnerable to attacks.Real-time threats pose with modern cyber attacks that pose a great danger to the Internet of Things(IoT)networks,as devices can be monitored or service isolated from them and affect users in one way or another.Securing Internet of Things networks is an important matter,as it requires the use of modern technologies and methods,and real and up-to-date data to design and train systems to keep pace with the modernity that attackers use to confront these attacks.One of the most common types of attacks against IoT devices is Distributed Denial-of-Service(DDoS)attacks.Our paper makes a unique contribution that differs from existing studies,in that we use recent data that contains real traffic and real attacks on IoT networks.And a hybrid method for selecting relevant features,And also how to choose highly efficient algorithms.What gives the model a high ability to detect distributed denial-of-service attacks.the model proposed is based on a two-stage process:selecting essential features and constructing a detection model using the K-neighbors algorithm with two classifier algorithms logistic regression and Stochastic Gradient Descent classifier(SGD),combining these classifiers through ensemble machine learning(stacking),and optimizing parameters through Grid Search-CV to enhance system accuracy.Experiments were conducted to evaluate the effectiveness of the proposed model using the CIC-IoT2023 and CIC-DDoS2019 datasets.Performance evaluation demonstrated the potential of our model in robust intrusion detection in IoT networks,achieving an accuracy of 99.965%and a detection time of 0.20 s for the CIC-IoT2023 dataset,and 99.968%accuracy with a detection time of 0.23 s for the CIC-DDoS 2019 dataset.Furthermore,a comparative analysis with recent related works highlighted the superiority of our methodology in intrusion detection,showing improvements in accuracy,recall,and detection time.

Assessment of International GNSS Service Global Ionosphere Map products over China region based on measurements from the Crustal Movement Observation Network of China

The global ionosphere maps(GIM)provided by the International GNSS Service(IGS)are extensively utilized for ionospheric morphology monitoring,scientific research,and practical application.Assessing the credibility of GIM products in data-sparse regions is of paramount importance.In this study,measurements from the Crustal Movement Observation Network of China(CMONOC)are leveraged to evaluate the suitability of IGS-GIM products over China region in 2013-2014.The indices of mean error(ME),root mean square error(RMSE),and normalized RMSE(NRMSE)are then utilized to quantify the accuracy of IGS-GIM products.Results revealed distinct local time and latitudinal dependencies in IGS-GIM errors,with substantially high errors at nighttime(NRMSE:39%)and above 40°latitude(NRMSE:49%).Seasonal differences also emerged,with larger equinoctial deviations(NRMSE:33.5%)compared with summer(20%).A preliminary analysis implied that the irregular assimilation of sparse IGS observations,compounded by China’s distinct geomagnetic topology,may manifest as error variations.These results suggest that modeling based solely on IGS-GIM observations engenders inadequate representations across China and that a thorough examination would proffer the necessary foundation for advancing regional total electron content(TEC)constructions.

Research progress and future prospects in the service security of key blast furnace equipment

The safety and longevity of key blast furnace(BF)equipment determine the stable and low-carbon production of iron.This pa-per presents an analysis of the heat transfer characteristics of these components and the uneven distribution of cooling water in parallel pipes based on hydrodynamic principles,discusses the feasible methods for the improvement of BF cooling intensity,and reviews the pre-paration process,performance,and damage characteristics of three key equipment pieces:coolers,tuyeres,and hearth refractories.Fur-thermoere,to attain better control of these critical components under high-temperature working conditions,we propose the application of optimized technologies,such as BF operation and maintenance technology,self-repair technology,and full-lifecycle management techno-logy.Finally,we propose further researches on safety assessments and predictions for key BF equipment under new operating conditions.

Dynamical distribution of continuous service time model involving non-Maxwellian collision kernel and value functions

The distribution of continuous service time in call centers is investigated.A non-Maxwellian collision kernel combining two different value functions in the interaction rule are used to describe the evolution of continuous service time,respectively.Using the statistical mechanical and asymptotic limit methods,Fokker–Planck equations are derived from the corresponding Boltzmann-type equations with non-Maxwellian collision kernels.The steady-state solutions of the Fokker–Planck equation are obtained in exact form.Numerical experiments are provided to support our results under different parameters.

Healthcare Services Interoperability in Kenya: Challenges and Opportunities

In an attempt to assess the Kenyan healthcare system, this study looks at the current efforts that are already in place, what challenges they face, and what strategies can be put into practice to foster interoperability. By reviewing a variety of literature and using statistics, the paper ascertains notable impediments such as the absence of standard protocols, lack of adequate technological infrastructure, and weak regulatory frameworks. Resultant effects from these challenges regarding health provision target enhanced data sharing and merging for better patient outcomes and allocation of resources. It also highlights several opportunities that include the adoption of emerging technologies, and the establishment of public-private partnerships to strengthen the healthcare framework among others. In this regard, the article provides recommendations based on stakeholder views and global best practices addressed to policymakers, medical practitioners, and IT specialists concerned with achieving effective interoperability within Kenya’s health system. This research is relevant because it adds knowledge to the existing literature on how healthcare quality can be improved to make it more patient-centered especially in Kenya.