Study on the comprehensive advantage evaluation method of high-tech enterprises based on RBF artificial neural network

This paper designs an intelligent evaluation approach using a Radial Basis Function （RBF） Artificial Neural Network. We based our approach on establishing a comprehensive advantage evaluating index system that offers scientific substance for creating a development plan and the strategic management of high-tech industry and regional clusters of high-tech enterprises. Furnhermore, this paper selects some typical high-tech enterprises＇ data to make comprehensive training on the network system. Meanwhile, the paper chooses some enterprises as testing samples to test the method, the result of which proves that this method is truly effective. The research of this paper provides a comprehensive advantage evaluating and managing method for high-tech enterprise.

High-tech Enterprise—Chinese Academy of Agricultural Mechanization Sciences

Chinese Academy Of Agricultural MechanizationSciences(CAAMS)is the largest research organizationwith the strongest innovation ability engaged infundamental,application sciences with multiple disciplines,comprehensiveness and gives priority to R&D on modernagriculture equipment while facing the needs of agriculture,countryside and farmers.Since the establishment of CAAMS40 years ago,it coordinated the related Ministries andCommissions of our country to finish researching andmanufacturing over 3000 kinds of agricultural machineries of9 categories,gained more than 2000 scientific and

The Research and Analysis to the Financing Dilemma and Countermeasures of China＇s Medium and Small Sized High-tech Enterprises

The Financing problem of Medium and small Sized High-tech Enterprises is the key point to enterprises＇ survival and development. Firstly it is pointed out that the difficulty in financing is due to without enough emphasis on Medium and Small Sized High-tech Enterprises, without sound targeted laws and regulations, the imperfect credit guarantee system, and corporate governance structure problem of the enterprise Then, according to the problems existing in the financing of China＇s Medium and Small Sized High-tech Enterprises, the assay put forward several countermeasures which have referential value.

Problems and Countermeasures of Internal Control Management in High-tech Enterprises

The wave of the socialist market economy has continually invaded,which has already caused a serious impact on the survival of many enterprises in China at this stage.In order to obtain development,traditional enterprises must follow the trend of the times to carry out their own reform and progress.For many high-tech enterprises,the most important issue is how to achieve internal control management,with rationalization means to gradually promote the corresponding work and economic benefits of enterprises,not only to save time,but also to improve the corresponding work efficiency,moreover,it is necessary to be able to promote the establishment of a relatively complete internal control management system in the actual work process of high-tech enterprises,in order to solve and prevent some problems that have emerged or need to be emerged.

An Analysis of Governance in Chinese High-Tech Enterprises from Specific Human Capital Perspective

The effect of specific human capital on governance was analyzed,and a governance frame was proposed based on specific human capital for high-tech enterprises.The frame takes residual rights of claimant and residual rights of control as core,including the factors of institutional environment and bargaining power.One of the important contexts of Chinese enterprises governance is ownership structure,which means that local government plays an important role in the governance.Meanwhile,the level of market development in China is low,which has an effect on corporate governance.The model of capital gains and status of human capital is explored,and it shows that all of the residual claims belonging to shareholder is only an exceptional case,and the internal factors influencing the residual claim allocation proportion of stakeholders are the scarcity in the capital market and risks born by them.Furthermore,two cases are discussed in detail to study the governance in Chinese high-tech enterprises.

Evaluation System for High-tech Enterprises'Value Based on Empirical Analysis in China

High-tech industry has become the strategic and leading industry of the national economic and social development, and it is also the main driving force for economic growth and social progress in China. It is necessary to redefine the composition of high-tech enterprises'value and thus find the ways to maximize their value. This paper attempted to address the following set of questions: 1. What are the value drivers and how do they affect high-tech enterprises'value? 2. How to establish the value appraisal measure system of high-tech enterprise?

Study on the Establishment of the Synchronization Mechanism for R&D and Standardization in Shenzhen High-Tech Enterprises

The paper analyses the advantages of Shenzhen high-tech enterprises to establish the synchronization mechanism for R＆D and standardization based on the characteristics of Shenzhen high-tech industries,to provide some guidance, the paper provides some key points to establish the synchronization mechanism of R＆D. and standardization for high-tech enterprises.

Lvis支架与Enterprise支架辅助弹簧圈栓塞治疗颅内宽颈动脉瘤的临床效果及预后对比研究

目的对比分析Lvis支架与Enterprise支架辅助弹簧圈栓塞对颅内宽颈动脉瘤患者栓塞效果、预后效果的影响及安全性。方法回顾性分析青海红十字医院2020年9月至2023年9月收治的147例颅内宽颈动脉瘤患者的临床资料,所有患者均行支架辅助弹簧圈栓塞术治疗,根据所使用的不同支架分为Enterprise支架组(72例,动脉瘤个数74枚)和Lvis支架组(75例,动脉瘤个数78枚)。比较两组患者术后即刻Raymond分级情况、并发症发生率、出院时和出院后6个月改良Rankin量表(m RS)评分。结果Lvis支架组患者术后即刻Raymond分级Ⅰ级占比高于Enterprise支架组,Ⅱ级、Ⅲ级占比低于Enterprise支架组(P<0.05);两组患者手术相关并发症总发生率,出院时和出院后6个月mRS评分比较,差异均无统计学意义(均P>0.05)。结论与Enterprise支架辅助弹簧圈栓塞治疗颅内宽颈动脉瘤相比,Lvis支架在术后即刻的栓塞效果更佳,但两种支架手术相关并发症和术后短期预后情况相当。

Enterprise 2支架治疗颅内动脉瘤的临床效果分析

目的 研究分析颅内动脉瘤在临床治疗环节中Enterprise 2支架的应用效果。方法 选取2021年6月—2022年12月在本院接受治疗的60例颅内动脉瘤患者展开试验分析,按照其治疗方式进行分组,将采用Enterprise 2支架展开治疗的患者作为观察组,选择保守治疗的患者30例作为对照组,对比两组患者治疗成功率以及临床症状改善情况。结果 经治疗,观察组患者治疗成功率显著高于对照组(P<0.05);经过6个月的随访发现,观察组患者临床症状改善情况显著优于对照组,差异具有统计学意义(P<0.05);观察组患者满意度显著优于对照组,差异具有统计学意义(P<0.05)。结论 Enterprise 2支架治疗操作比较简单,并且可以取得良好的治疗效果,相较于保守治疗而言,治疗效果显著,可以有效改善患者预后,值得在临床推广应用。

Contract Mechanism of Water Environment Regulation for Small and Medium Sized Enterprises Based on Optimal Control Theory

The small and scattered enterprise pattern in the county economy has formed numerous sporadic pollution sources, hindering the centralized treatment of the water environment, increasing the cost and difficulty of treatment. How enterprises can make reasonable decisions on their water environment behavior based on the external environment and their own factors is of great significance for scientifically and effectively designing water environment regulation mechanisms. Based on optimal control theory, this study investigates the design of contractual mechanisms for water environmental regulation for small and medium-sized enterprises. The enterprise is regarded as an independent economic entity that can adopt optimal control strategies to maximize its own interests. Based on the participation of multiple subjects including the government, enterprises, and the public, an optimal control strategy model for enterprises under contractual water environmental regulation is constructed using optimal control theory, and a method for calculating the amount of unit pollutant penalties is derived. The water pollutant treatment cost data of a paper company is selected to conduct empirical numerical analysis on the model. The results show that the increase in the probability of government regulation and public participation, as well as the decrease in local government protection for enterprises, can achieve the same regulatory effect while reducing the number of administrative penalties per unit. Finally, the implementation process of contractual water environmental regulation for small and medium-sized enterprises is designed.

Survey and Prospect for Applying Knowledge Graph in Enterprise Risk Management

Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market order.Amidst the challenges posed by intricate and unpredictable risk factors,knowledge graph technology is effectively driving risk management,leveraging its ability to associate and infer knowledge from diverse sources.This review aims to comprehensively summarize the construction techniques of enterprise risk knowledge graphs and their prominent applications across various business scenarios.Firstly,employing bibliometric methods,the aim is to uncover the developmental trends and current research hotspots within the domain of enterprise risk knowledge graphs.In the succeeding section,systematically delineate the technical methods for knowledge extraction and fusion in the standardized construction process of enterprise risk knowledge graphs.Objectively comparing and summarizing the strengths and weaknesses of each method,we provide recommendations for addressing the existing challenges in the construction process.Subsequently,categorizing the applied research of enterprise risk knowledge graphs based on research hotspots and risk category standards,and furnishing a detailed exposition on the applicability of technical routes and methods.Finally,the future research directions that still need to be explored in enterprise risk knowledge graphs were discussed,and relevant improvement suggestions were proposed.Practitioners and researchers can gain insights into the construction of technical theories and practical guidance of enterprise risk knowledge graphs based on this foundation.

Optimizing Enterprise Conversational AI: Accelerating Response Accuracy with Custom Dataset Fine-Tuning

As the realm of enterprise-level conversational AI continues to evolve, it becomes evident that while generalized Large Language Models (LLMs) like GPT-3.5 bring remarkable capabilities, they also bring forth formidable challenges. These models, honed on vast and diverse datasets, have undoubtedly pushed the boundaries of natural language understanding and generation. However, they often stumble when faced with the intricate demands of nuanced enterprise applications. This research advocates for a strategic paradigm shift, urging enterprises to embrace a fine-tuning approach as a means to optimize conversational AI. While generalized LLMs are linguistic marvels, their inability to cater to the specific needs of businesses across various industries poses a critical challenge. This strategic shift involves empowering enterprises to seamlessly integrate their own datasets into LLMs, a process that extends beyond linguistic enhancement. The core concept of this approach centers on customization, enabling businesses to fine-tune the AI’s functionality to fit precisely within their unique business landscapes. By immersing the LLM in industry-specific documents, customer interaction records, internal reports, and regulatory guidelines, the AI transcends its generic capabilities to become a sophisticated conversational partner aligned with the intricacies of the enterprise’s domain. The transformative potential of this fine-tuning approach cannot be overstated. It enables a transition from a universal AI solution to a highly customizable tool. The AI evolves from being a linguistic powerhouse to a contextually aware, industry-savvy assistant. As a result, it not only responds with linguistic accuracy but also with depth, relevance, and resonance, significantly elevating user experiences and operational efficiency. In the subsequent sections, this paper delves into the intricacies of fine-tuning, exploring the multifaceted challenges and abundant opportunities it presents. It addresses the technical intricacies of data integration, ethical considerations surrounding data usage, and the broader implications for the future of enterprise AI. The journey embarked upon in this research holds the potential to redefine the role of conversational AI in enterprises, ushering in an era where AI becomes a dynamic, deeply relevant, and highly effective tool, empowering businesses to excel in an ever-evolving digital landscape.

Impact of the carbon market on investment benefits of power-grid enterprises in China: a system dynamics analysis

The power grid,as the hub connecting the power supply and consumption sides,plays an important role in achieving carbon neutrality in China.In emerging carbon markets,assessing the investment benefits of power-grid enterprises is essential.Thus,studying the impact of the carbon market on the investment and operation of powergrid enterprises is key to ensuring their efficient operation.Notably,few studies have examined the interaction between the carbon and electricity markets using system dynamics models,highlighting a research gap in this area.This study investigates the impact of the carbon market on the investment of power-grid enterprises using a novel evaluation system based on a system dynamics model that considers carbon-emissions from an established carbon-emission accounting model.First,an index system for benefit evaluation was constructed from six aspects:financing ability,economic benefit,reliability,social responsibility,user satisfaction,and carbon-emissions.A system dynamics model was then developed to reflect the causal feedback relationship between the impact of the carbon market on the investment and operation of power-grid enterprises.The simulation results of a provincial power-grid enterprise analyze comprehensive investment evaluation benefits over a 10-year period and the impact of carbon emissions on the investment and operation of power-grid enterprises.This study provides guidelines for the benign development of power-grid enterprises within the context of the carbon market.

Evolutionary analysis of green credit and automobile enterprises under the mechanism of dynamic reward and punishment based on government regulation

To explore the green development of automobile enterprises and promote the achievement of the“dual carbon”target,based on the bounded rationality assumptions,this study constructed a tripartite evolutionary game model of gov-ernment,commercial banks,and automobile enterprises;introduced a dynamic reward and punishment mechanism;and analyzed the development process of the three parties’strategic behavior under the static and dynamic reward and punish-ment mechanism.Vensim PLE was used for numerical simulation analysis.Our results indicate that the system could not reach a stable state under the static reward and punishment mechanism.A dynamic reward and punishment mechanism can effectively improve the system stability and better fit real situations.Under the dynamic reward and punishment mechan-ism,an increase in the initial probabilities of the three parties can promote the system stability,and the government can im-plement effective supervision by adjusting the upper limit of the reward and punishment intensity.Finally,the implementa-tion of green credit by commercial banks plays a significant role in promoting the green development of automobile enter-prises.

Demography and Socio-Economic Aspects on Irrigated Smallholder Agricultural Enterprises and Their Association with the Cultivation of Maize (Zea mays L.) as a Selected Field Crop

The purpose of this study is to correlate demography and socio-economic aspects at Irrigated Smallholder Agricultural Enterprises and their association with the Cultivation of Maize in order to determine its positive impacts at irrigated smallholders’ agricultural entrepreneurs’ household. Chi-square test was used as descriptive analysis method. The Fischer Exact tests were employed to test demography (gender, age, education, and income) in winter and summer production season of irrigated smallholder agricultural enterprises and their association with the cultivation of selected field crop (i.e. maize). The results show that gender results were not being statistically significant, as measured by the Phi measure of effect size, φ = 0.149, p = 0.011, and φ = 0.05, p = 0.392 in summer. As far as age is concern, it appears to be a statistically significant association between cultivating maize and age in winter, φ = 0.046, p = 0.730 in winter and φ = 0.172, p = 0.013. Education winter result not being statistically significant, the effect size showed a weak association, as measured by the Phi measure of effect size, φ = 0.112, p = 0.305 and φ = 0.035, p = 0.948 in summer. Income result not being statistically significant, as measured by the Phi measure of effect size, φ = 0.049, p = 0.399 and φ = 0.081, p = 0.166 in summer. In conclusion, the study shows that the development of best management practices must be based on a comprehensive analysis of the livelihoods and irrigated smallholder agricultural enterprise farming styles of participating irrigated smallholder agricultural entrepreneurs.

Research on Pathways of How Digital Transformation Affects the Business Performance of MEEC Enterprises in Chengdu

This paper aims to examine the impact of digital transformations on the business performance of the meetings,expositions,events,and conventions(MEEC)industry in Chengdu by conducting an empirical analysis of 68 MEEC enterprises in the city.The study employed the fuzzy-set qualitative comparative analysis(fsQCA)method to explore the pathways and factors involved.Drawing on the theory of synergetics,nine condition variables were carefully selected from four dimensions:digital technologies,digital strategy,digital infrastructure,and digital innovation.The findings revealed that digital transformations were an intricate systematic process,whereby a single factor alone did not serve as a necessary condition for MEEC enterprises to achieve high business performance.The analysis identified five distinct pathways that would lead to high performance,which can be categorized into three distinct models:the“organization-human resources”dominated model,the“human resources-infrastructure”driven model,and the multi-factor coordination model.The analysis also identified two pathways that would result in low performance,categorized as the“basic condition absent”model.Notably,there was substantial heterogeneity observed in the configurational pathways in terms of the magnitude of the impact of digital transformation on business performance across MEEC enterprises of different sizes.This paper suggests that the government should assume the role of a platform,providing policy and financial support to MEEC enterprises to help guide them through the process of digital transformation and that MEEC enterprises themselves should seize the opportunities arising from digital transformation to strengthen their digital infrastructure construction,human resources development,and innovation in brand building.This study presents empirical evidence that contributes to the understanding of the transformation process of MEEC enterprises within the digital economy era,as well as valuable insights into understanding the channels and internal conditions involved in digital transformations.

Research on the Collaborative Governance of Social Responsibility in Online Audiovisual Enterprises

This paper aims to analyze the present conditions of the social responsibility ecosystem in online audiovisual enterprises in the digital age. It focuses on the governance of social responsibility in these enterprises and conducts an in-depth analysis of the problems and influencing factors related to the social responsibility aberrations of online audiovisual enterprises. Drawing upon social responsibility theory and collaborative governance theory, this research constructs a social responsibility guidance and governance system guided by the public, supported by the voluntary fulfillment of responsibilities by online audiovisual enterprises, and based on the collaborative participation of diverse stakeholders. It explores and optimizes the implementation pathways of this system, providing theoretical support and practical guidance for promoting the sustainable development of online audiovisual enterprises. Furthermore, it aims to contribute to the creation of a harmonious Internet ecosystem.

Neuroform Atlas支架与Enterprise支架辅助弹簧圈栓塞治疗颅内宽颈动脉瘤的效果比较

目的探讨Neuroform Atlas支架与Enterprise支架辅助弹簧圈栓塞治疗颅内宽颈动脉瘤(IWA)的效果。方法选取IWA患者72例,采用随机数字表法分为A、B组,每组36例。A组采用Neuroform Atlas支架辅助弹簧圈栓塞治疗,B组采用Enterprise支架辅助弹簧圈栓塞治疗。比较两组Raymond分级、脑血流灌注情况、改良Rankin量表(mRS)评分及并发症发生率。结果A组和B组术后即刻Raymond分级Ⅰ级占比分别为75.00%(27/36)、66.67%(24/36),比较差异不显著(P>0.05);两组术后即刻Raymond分级比较,差异不显著(P>0.05);A组术后6个月Raymond分级Ⅰ级占比为83.33%(30/36),高于B组的61.11%(22/36)(P<0.05);A组术后6个月Raymond分级优于B组(P<0.05)。A组和B组术前局部脑血容量(rCBV)、颅内压(ICP)比较,差异不显著(P>0.05);A组和B组术后6个月rCBV均高于术前,ICP均低于术前,且A组术后6个月rCBV(2.18±0.42)ml/100 g高于B组的(1.95±0.33)ml/100 g,ICP(16.24±2.63)mm Hg(1 mm Hg=0.133 kPa)低于B组的(18.52±2.70)mm Hg(P<0.05)。随访6个月,A组mRS评分0~2分占比94.44%高于B组的77.78%(P<0.05)。两组并发症发生率比较,差异不显著(P>0.05)。结论与Enterprise支架相比,Neuroform Atlas支架辅助弹簧圈栓塞治疗IWA的完全闭塞率更高,同时能更好地改善患者脑血流灌注和短期预后,而两种支架的并发症发生率相似。

Assessing Factors Influencing Solar Energy Adoption among Small and Medium Enterprises in Mzuzu City, Malawi

One of the many renewable energy sources that offer advantages is solar energy, which also lowers energy prices and promotes environmental sustainability and energy security. Despite these advantages, various barriers, such as installation costs, have prevented small and medium-sized enterprises from investigating this invention. Malawi has a significant energy shortfall such that most businesses have been hindered from their profit maximization goals. The “Photovoltaic systems” (PV) that transform sunlight into electricity are the subject of this study. This type of solar energy system is situated on the building’s roof and generally produces electricity for businesses and even homes. Solar energy offers a great impact to small and medium enterprises in Mzuzu city with a cost-effective and dependable alternative to energy that has the potential to change the game. Therefore the aim of the study was to identify factors that encourage the adoption of solar energy among small medium enterprises in the city of Mzuzu city. And to identify some of barriers faced when adopting solar energy among small and medium enterprises in the city of Mzuzu. The research approach employed in the study was a survey. A survey is a type of research methodology in which primary data is gathered from a sample using a questionnaire. When information is to be gathered from a wider sample, a survey is employed. A bigger sample size was needed in this study in order to facilitate hypothesis testing. It is advised to apply a logical approach while using the survey. The survey utilized a five-point Likert scale. The study used convenience sampling to select study participants. The sample size in this study was determined using Cochran’s sample size formula. Statistical Package for Social Sciences (SPSS) and Microsoft Excel were used for statistical analysis. About 97.2% of the participants were aware of solar as a source of energy compared to 2.8 % who were unaware. The majority of participants use solar energy for lighting only, seconded by those who use electricity. The least number of participants use solar energy for cooling only. The majority of participants 21.5% indicated partnership and collaboration as the most motivating factor for the adoption of solar energy. This was followed by technical expertise 19.1 % the least number of participants 10.8% expressed that policy and regulatory frameworks were associated with the adoption of solar energy. This study found that there are no statistically significant factors influencing barriers to the adoption of solar energy. The price of solar energy adoption was identified as the least factor associated with the acceptance or rejection of solar energy. Nonetheless, the reasons given by the homes that had embraced solar technology aligned with the findings of other studies. This survey also found that although the public was aware of solar energy, and technology, there were still a number of factors that mattered, especially for non-adopters.

Chinese Enterprises’ Investment in Southeast Asia Continues Unabated

As we all know,Southeast Asia has become a hot destination for Chinese enterprises to invest in.The latest report shows that Southeast Asia continues to attract China’s capital,within which the medical industry has become an important area for Chinese enterprises to invest in,and the investment activity has gradually warmed up despite fluctuations.