Evolutionary game analysis of rural public–private partnership older adult care project in the context of population aging in China

IntroductionPublic–private partnership (PPP) older adult care project is an effective means to solve the dilemma of the aging population in China's rural areas, but there are some problems in the operation process, such as a low participation rate and poor service quality, resulting in the needs of rural older adult groups not being met.MethodsTo alleviate the pressure of the aging population in rural areas, this study establishes an evolutionary game model for the PPP older adult care project, then defines the interests of local government, the private sector, and rural older adult residents, based on which it discusses the strategic choices of the three parties in the evolutionary process, and finally analyzes the influencing factors of the strategic choices of the game parties through simulation.ResultsThe results suggest that whether the private sector chooses to actively participate in the project will be influenced by the willingness of local government and rural older adult residents to participate in the project. Local government could play the role of supervisor through reward and punishment mechanisms. Whether older rural residents choose to participate in the project depends on the number of benefits they would receive.DiscussionBased on these findings, local governments should clarify the responsibilities of relevant stakeholders, adopt a regulatory strategy combining subsidies and penalties, improve the participation efficiency of rural older adult residents, promote the effective operation of PPP older adult care projects, and improve the quality of rural older adult care services in the new era

White Matter Injury After Intracerebral Hemorrhage

Spontaneous intracerebral hemorrhage (ICH) accounts for 15% of all stroke cases. ICH is a devastating form of stroke associated with high morbidity, mortality, and disability. Preclinical studies have explored the mechanisms of neuronal death and gray matter damage after ICH. However, few studies have examined the development of white matter injury (WMI) following ICH. Research on WMI indicates that its pathophysiological presentation involves axonal damage, demyelination, and mature oligodendrocyte loss. However, the detailed relationship and mechanism between WMI and ICH remain unclear. Studies of other acute brain insults have indicated that WMI is strongly correlated with cognitive deficits, neurological deficits, and depression. The degree of WMI determines the short- and long-term prognosis of patients with ICH. This review demonstrates the structure and functions of the white matter in the healthy brain and discusses the pathophysiological mechanism of WMI following ICH. Our review reveals that the development of WMI after ICH is complex; therefore, comprehensive treatment is essential. Understanding the relationship between WMI and other brain cells may reveal therapeutic targets for the treatment of ICH

Arabidopsis Hormone Database: a comprehensive genetic and phenotypic information database for plant hormone research in Arabidopsis

Plant hormones are small organic molecules that influence almost every aspect of plant growth and development. Genetic and molecular studies have revealed a large number of genes that are involved in responses to numerous plant hormones, including auxin, gibberellin, cytokinin, abscisic acid, ethylene, jasmonic acid, salicylic acid, and brassinosteroid. Here, we develop an Arabidopsis hormone database, which aims to provide a systematic and comprehensive view of genes participating in plant hormonal regulation, as well as morphological phenotypes controlled by plant hormones. Based on data from mutant studies, transgenic analysis and gene ontology (GO) annotation, we have identified a total of 1026 genes in the Arabidopsis genome that participate in plant hormone functions. Meanwhile, a phenotype ontology is developed to precisely describe myriad hormone-regulated morphological processes with standardized vocabularies. A web interface (http://ahd.cbi.pku.edu.cn) would allow users to quickly get access to information about these hormone-related genes, including sequences, functional category, mutant information, phenotypic description, microarray data and linked publications. Several applications of this database in studying plant hormonal regulation and hormone cross-talk will be presented and discussed

China’s sewage treatment industry status quo and improvement measures

Abstract Sewage treatment has greatly affected the promotion and implementation of China’s sustainable development policies. At this stage, urban domestic and industrial wastewater discharge has become the main source of pollution for urban water resources in China. Urban domestic and industrial wastewater treatment is the top priority for saving water resources and protecting urban water bodies both now and in the future. This article analyzes the current status of China’s sewage treatment from three aspects: policy, process, and industry operation status. It finds problems in China’s sewage treatment, and puts forward reasonable suggestions.</jats:p

Design of adaptive rate FH-OFDM system based on 802.11g

Abstract In this paper, the wireless communication system based on 802.11g protocol is studied, and a set of FH-OFDM system supporting adaptive transmission rate is designed. The maximum transmission rate can reach 6.75Mbps, which is much higher than 2Mbps transmission rate of traditional FHSS system. A new joint receiver and transmitter detection algorithm is proposed to reduce the error rate of FH position detection by 8.8dB∼11.68dB. The frequency hopping codebook is obtained by counting the bit error rate (BER) of each subcarrier. Selecting the subcarriers with lower bit error rate as frequency hopping points can further reduce the detection error rate by 4.27dB∼6.17dB, the bit error rate by 8.0778dB∼17.4121dB (in the case of 54/8Mbps), and 0.0533dB∼21.6286dB (in the case of 6/8Mbps). And in this paper, we choose the most appropriate transmission rate under different mobile speed and different SNR. By adaptive rate, we can get high performance and efficient equalization of the system.</jats:p

Internet Digital Economy Development Forecast Based on Artificial Intelligence and SVM-KNN Network Detection

The development and spread of Internet technology have made it easier to find web servers. People can browse various websites to shop or pay for living expenses, which brings great convenience to life, but as a result, Internet security problems continue to appear. This article is based on a detailed theoretical analysis of mainstream algorithms, making an analysis of web logs which is of great significance and practical value. In addition, through reasoning analysis, technical support is provided for improving the weight factor of the KNN (K-nearest neighbor) algorithm, and the literature research method of the SVM-KNN hybrid algorithm and the KNN classifier is proposed. This paper conducts a detailed theoretical analysis based on the mainstream algorithms that are widely used in the current classification technology and integrates the mainstream classification algorithms in real-life applications and popularization, selecting the support vector machine and KNN calculation method. In the digital economy development model, although China has a large number of netizens, obvious late-comer advantages and institutional advantages as a guarantee, due to the constraints of two key factors, capital and technology, a series of social problems have also arisen. During the transformation of the digital economy, prominent digital security issues, high-risk vulnerabilities, and increasing number of cyber-attacks, along with uneven data quality levels and lagging laws and regulations, have brought many challenges and obstacles.</jats:p

Research Progress of Chromium Electrodeposition from Deep Eutectic Solvents

Metal chromium coating has been widely used as decorative and functional coatings in the metallurgical and chemical industries due to its high hardness， excellent corrosion resistance and aesthetic appearance.The traditional chromium electroplating process uses hexavalent chromium electroplating.However， hexavalent chromium electrolytes are highly toxic and strong carcinogens， which harm human health and seriously pollute the environment.Trivalent chromium electroplating is considered one of the most important and effective processes to replace hexavalent chromium electroplating.However， due to the limitations of aqueous solutions， trivalent chromium electroplating exhibits shortcomings such as hydrogen evolution， difficulty in thickening the coating and low current efficiency， which restrict its development.Seeking a new electrolyte system that can replace aqueous solutions has become one of the research directions for trivalent chromium electroplating.As a new type of green solvent， deep eutectic solvents (DESs) show great promise in the electrodeposition of metals due to their advantages， including ease of synthesis， high electrical conductivity， wide electrochemical window and good solubility.They overcome the shortcomings of the high volatility of organic solvents， the complex preparation process of ionic liquids and high costs.In this paper， the physicochemical properties of deep eutectic solvents used for chromium electrodeposition and the forms in which metal ions exist within them were introduced.The research progress on chromium and its alloys electrodeposition in DESs was reviewed.The effects of additives on chromium electrodeposition in DESs were discussed.Issues related to chromium electrodeposition in DESs were analyzed， and directions for further research were explored

Complexity and synchronization of carbon and new energy markets based on multiscale entropy

Abstract This study provides a comprehensive analysis of the dynamic evolution of complexity and synchrony between the carbon market and the new energy market from 2019 to 2023, employing multiscale sample entropy and cross‐sample entropy methods. The study shows that, both in the long term and short term, the complexity of the new energy market consistently exceeds that of the carbon market. Additionally, the carbon and new energy markets exhibit higher synchronization on smaller scales. As the time scale increases, interactions between the carbon and new energy markets become more complex and diverse. According to these findings, it is recommended that policymakers improve the transparency of the new energy market, optimize the operational mechanisms of the carbon market, and ensure that carbon reduction strategies and new energy policies are mutually coordinated. This holds significant importance for both carbon reduction targets and the development of new energy