AI-Powered Innovations in High-Tech Research and Development: From Theory to Practice

This comparative review explores the dynamic and evolving landscape of artificial intelligence(AI)-powered innovations within high-tech research and development(R&D).It delves into both theoreticalmodels and practical applications across a broad range of industries,including biotechnology,automotive,aerospace,and telecom-munications.By examining critical advancements in AI algorithms,machine learning,deep learning models,simulations,and predictive analytics,the review underscores the transformative role AI has played in advancing theoretical research and shaping cutting-edge technologies.The review integrates both qualitative and quantitative data derived from academic studies,industry reports,and real-world case studies to showcase the tangible impacts of AI on product innovation,process optimization,and strategic decision-making.Notably,it discusses the challenges of integrating AI within complex industrial systems,such as ethical concerns,technical limitations,and the need for regulatory oversight.The findings reveal a mixed landscape where AI has significantly accelerated R&D processes,reduced costs,and enabled more precise simulations and predictions,but also highlighted gaps in knowledge transfer,skills adaptation,and cross-industry standardization.By bridging the gap between AI theory and practice,the review offers insights into the effectiveness,successes,and obstacles faced by organizations as they implement AI-driven solutions.Concluding with a forward-looking perspective,the review identifies emerging trends,future challenges,and promising opportunities inAI-poweredR&D,such as the rise of autonomous systems,AI-driven drug discovery,and sustainable energy solutions.It offers a holistic understanding of how AI is shaping the future of technological innovation and provides actionable insights for researchers,engineers,and policymakers involved in high-tech Research and Development(R&D).

Spatio-temporal evolution of the coordinated development of high-tech industry agglomeration and resource-environmental carrying capacity in the Yellow River Basin

Under the background of new infrastructure,the Yellow River Basin’s superior growth cannot be separated originating with the synergistic effect of scientific and technological inventiveness and ecological civilization construction.In light of the coupling coordination analysis of the coordination effect of provincial high-tech industry agglomeration and resource carrying capacity in the Yellow River Basin from 2009 to 2021,The evolution of the geographical and temporal pattern of development was investigated using the Moran index and kernel density estimation.The results show that the agglomeration of high-tech industries in the Yellow River Basin presents a development trend of seek improvement in stability,and there is a good coupling and coordination throughout the progression of scientific and technological innovation and the loading capacity of the resource,from the viewpoint of a time series.From the perspective of spatial pattern distribution,the whole basin aims at the lower reaches,accelerates the optimization of digital industry and promotes Yellow River Basin development of superior quality through innovation support and increase of input,and based on policy guidance.

Identifying Spatial Heterogeneity in the Effects of High-Tech Firm Density on Housing Prices:Evidence from Guangdong-Hong Kong-Macao Greater Bay Area,China

Innovation capitalization is a new concept in innovation geography research.Extant research on a city scale has proven that innovation is an important factor affecting housing prices and verified that innovation has a capitalization effect.However,few studies investigate the spatial heterogeneity of innovation capitalization.Thus,case verification at the urban agglomeration scale is needed.Therefore,this study proposes a theoretical framework for the spatial heterogeneity of innovation capitalization at the urban agglomeration scale.Examining the Guangdong-Hong Kong-Macao Greater Bay Area(GHMGBA),China as a case study,the study investigated the spatial heterogeneity of the influence of high-tech firms,representing innovation,on housing prices.This work verified the spatial heterogeneity of innovation capitalization.The study constructed a data set influencing housing prices,comprising 11 factors in 5 categories(high-tech firms,convenience of living facilities,built environment,the natural environment,and the fundamentals of the districts)for 419 subdistricts in the GHMGBA.On the global scale,the study finds that high-tech firms have a significant and positive influence on housing prices,with the housing price increasing by 0.0156%when high-tech firm density increases by 1%.Furthermore,a semi-geographically weighted regression(SGWR)analysis shows that the influence of high-tech firms on housing prices has spatial heterogeneity.The areas where high-tech firms have a significant and positive influence on housing prices are mainly in the GuangzhouFoshan metropolitan area,western Shenzhen-Dongguan,north-central Zhongshan-Nansha district,and Guangzhou—all areas with densely distributed high-tech firms.These results confirm the spatial heterogeneity of innovation capitalization and the need for further discussion of its scale and spatial limitations.The study offers implications for relevant GHMGBA administrative authorities for spatially differentiated development strategies and housing policies that consider the role of innovation in successful urban development.

The Impact of the Establishment of National High-tech Zones on Total Factor Productivity of Chinese Enterprises

The National High-tech Zone(NHTZs)is an important strategic platform for cultivating high-tech industries and realizing high-quality economic development in China.Based on the combined data from 2006 to 2014 of the industrial enterprise database,the customs database,and the China Development Zones Audit and Announcement Catalogue(abbreviated asthe Catalogue),this paper systematically investigates the influence of the construction of NHTZs on enterprise’s total factor productivity(TFP).Results show that NHTZs have a positive impact on the TFP of enterprises in the zone,and this conclusion is still valid after considering endogeneity problems.Furthermore,the above productivity effects of NHTZs are heterogeneous in terms of enterprise ownership,external environment and establishment time,and NHTZs have greater stimulation effects on enterprise productivity after comparing with other types of functional zones.An investigation of the specific mechanisms at play shows that NHTZs promote the TFP of enterprises in the zone through the release of preferential policies,strengthening the“technology spillover effects”of imported intermediate goods,enhancing enterprise’s innovation ability and attracting talent.In addition,based on the decomposition of industry productivity,this paper also investigates the impact of NHTZs on changes in industry productivity and finds that NHTZs promote the overall productivity of specific industries mainly by stimulating the productivity improvement of incumbent enterprises and expanding the market share of high-productivity enterprises.Moreover,the preferential policies of NHTZs do not significantly stimulate high-productivity enterprises to enter the zones,nor do they cause low-productivity enterprises to exit.This research is helpful in objectively evaluating the economic effects of the NHTZs in China and in providing a theoretical basis for its further adjustment.

纳米硅溶胶改良辽宁台安砂土的抗液化性能研究

辽宁台安砂土属于易液化砂,提升其抗液化性能具有重要的工程意义。文章针对纳米硅溶胶(CS)对辽宁台安砂土抗液化性能的改良效果进行探究,通过不排水动三轴试验,对纯砂样和改良砂样的液化特性进行对比研究,分析CS浓度和固化时间两个参量对改良砂样动力特性的影响。研究结果表明:(1)CS能够显著提升台安砂土的抗液化性能,在动载作用下改良砂样均未发生液化破坏。(2)随CS浓度和固化时间的增加,试样动孔压u_(d)、动应变ε_(d)呈现先迅速下降后趋于平缓的发展规律;当CS浓度增至4%、固化时间达到3周后,试样抗液化性能的提升效果不再明显。(3)改良砂样的滞回曲线变得更加稳定。随CS浓度增加,阻尼先降低后趋于稳定,动弹性模量逐渐增大并趋于平缓,但伴随有一定的波动;随固化时间增大,阻尼呈减小趋势,动弹性模量呈增大趋势。研究成果可为辽宁台安地区砂土液化治理提供参考依据。

泰安市夏季大气PM_(2.5)污染特征及来源解析

于2019年5月10日—6月10日对泰安市大气PM_(2.5)中的碳组分、水溶性离子进行在线监测,分析PM_(2.5)及其化学组分的变化特征,讨论泰安市细颗粒物的主要来源。结果表明,泰安市夏季PM_(2.5)的质量浓度为37.7μg/m^(3),是《环境空气质量标准》(GB 3095—2012)二级标准阈值(35μg/m^(3))的1.1倍。水溶性离子在PM_(2.5)中占比最高,为47.3%。水溶性组分及其气态前体物存在明显的日变化规律,在早晨7:00出现峰值(单峰)。泰安市夏季OC/EC比值在1.1~17.5之间,说明泰安市主要受生物质燃烧、燃煤和尾气排放混合源的影响。正交矩阵因子分析(PMF)结果表明,PM_(2.5)结果中二次硝酸盐、生物质燃烧源、二次硫酸盐和燃煤源的贡献比分别为22.0%,46.7%,29.9%和1.4%。

Strategic equilibrium price analysis and numerical simulation of preponderant high-tech metal mineral resources

Based on exploitation compensation value system of preponderant high-tech metal mineral resources and distortion of pricing mechanism, social utility function was constructed to modify decision utility function of developers, and was extended to Stackelberg production decision model of preponderant high-tech metal mineral resources development. Analyzing the influences on market monopoly, output and price decision-making exerted by altruistic preferences, inequity aversion and sequential reciprocity fairness belief equilibrium, game fairness equilibrium which is significant in experimental economics can be obtained and verified by numerical simulation. In process of strategic pricing, method that uses the variation of producer surplus to measure strategic value from psychological preferences was proposed for the first time and technical support to improve exploitation compensation value system of preponderant metal mineral resources was available.

论英国建筑技术美学谱系中传统与新统的博弈—以High-Tech建筑技术美学为例

传统与新统的博弈贯穿英国建筑技术美学谱系二百余年的发展历程。本文以High-Tech建筑技术美学为例,以其角色转换为切入点,对英国建筑技术美学谱系发展过程中普遍存在的演进规律加以研究,得出传统与新统的博弈既构成英国建筑技术美学谱系发展的基本语言又是其演进主要动力的结论,并为中国的建筑技术美学研究提供相关借鉴和思考。

基于EEI体验模型的农村旅游信息导向系统设计——以泰安里峪村为例

以设计艺术的手法改善农村旅游信息视觉导向系统的建设,提升新农村旅游环境品质。将EEI体验模型引入到里峪村旅游信息视觉导向系统进行设计与运用研究中,从体验模式的视角出发,以建设标识系统、视觉导向地图、导视系统装置、信息技术交互体验和完善公共设施等作为设计手段,改善农村导向系统设计。基于EEI体验模型的泰安里峪村导视系统的策划,进一步丰富了新农村旅游资源,改善了农村旅游品质,为乡村振兴、打造特色村镇以及发展新农村旅游产业提供了具体可行的办法。

基于最小累积阻力模型与水文分析的综合生态安全格局构建——以泰安市为例

泰安市是黄河流域下游重要节点城市,地貌类型多样,生物多样性丰富,其生态安全格局的构建对国土空间生态保护工作开展和生态系统整体提升具有重要作用。本文以泰安市为研究区,基于生态重要性与生态脆弱性评价体系,综合确定生态源地;采用最小累积阻力模型与水文分析,构建主要生态廊道和河流廊道两套生态廊道体系,最终形成泰安市综合生态安全格局。研究结果表明:泰安市生态源地面积994.66km^(2),占全域面积的12.81%,主要分布于泰山山脉、徂徕山、大横山群、莲花山等生态质量较好的地区;生态廊道连接生态源地,共23条,总长度353.71km,相互交错,呈现东部较密集、西部较稀疏的空间分布;生态源地和生态廊道共同组成泰安市“一带一屏多廊”的生态安全格局。研究结果对保障泰安市生态安全具有重要意义,可为泰安市生态管控提供指导。

Spatial Evolution and Locational Determinants of High-tech Industries in Beijing

Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest effect on this spatial evolution. We aimed at merging these two aspects by using firm level databases in 1996 and 2010. To explain spatial change of the high-tech firms in Beijing, the Kernel density estimation method was used for hotspot analysis and detection by comparing their locations in 1996 and 2010, through which spatial features and their temporal changes could be approximately plotted. Furthermore, to provide quantitative results, Ripley′s K-function was used as an instrument to reveal spatial shift and the dispersion distance of high-tech manufacturing firms in Beijing. By employing a negative binominal regression model, we evaluated the main determinants that have significantly affected the spatial evolution of high-tech manufacturing firms and compared differential influence of these locational factors on overall high-tech firms and each sub-sectors. The empirical analysis shows that high-tech industries in Beijing, in general, have evident agglomeration characteristics, and that the hotspot has shifted from the central city to suburban areas. In combination with the Ripley index, this study concludes that high-tech firms are now more scattered in metropolitan areas of Beijing as compared with 1996. The results of regression model indicate that the firms′ locational decisions are significantly influenced by the spatial planning and regulation policies of the municipal government. In addition, market processes involving transportation accessibility and agglomeration economy have been found to be important in explaining the dynamics of locational variation of high-tech manufacturing firms in Beijing. Research into how markets and the government interact to determine the location of high-tech manufacturing production will be helpful for policymakers to enact effective policies toward a more efficient urban spatial structure.

A LOCATIONAL COMPARATIVE STUDY ON HIGH-TECH INDUSTRIAL ZONES IN CHINA

There are three ports in this poper.Part I is involved in discussion of threeessential soft factors acting at development of high-tech industry-location,nctworkand comptehensive factors.It strobes the role of brains and practical capeity inhigh-tech development,clarifying the same importance of qualified personnel networkas information network,elucidating both intemal and external impetus Part II dealswith locatkinal comparison among high-tech industrial zones in Ch;. for which anAnalysis of Hierarchy Process (AHP) method is used. Upe esults, Chinesehigh-tech industrial zones are divided into four grades. The las. p proposes four aspects as implementation measures for high-tech industrial zone in China.

A Study on Theoretical Model and Applied Evaluation of Land Use Performance of High-tech Zone in Urban Fringe: A Case Study in Haidian District, Beijing

High-tech industrial zone is an important carrier for constructing innovative cities. It also plays an important role in implementing the national independent innovative strategy. How-ever, most of the high-tech industrial zones have many problems in their development process, such as efficiency of land use, weakness of oriented function and lack of land intensive. To solve these problems, the authors of this paper introduced the concept of land use performance and established the theoretical model to assess the land use performance of high-tech industrial zones. The model consists of the following three-dimensional parts: land use benefit, land use efficiency and innovative function. Based on this theory model, an index system which was composed of three secondary indictors, eight tertiary indictors and 37 fourth-grade indictors was set up to evaluate the land use performance of high-tech zone. To avoid the defects of plus model and function model, the authors brought out a three-dimensional evaluation model to examine the index of the land use performance of the high-tech industrial parks, which equals to the evaluation indicator system of land use performance of high-tech zone based on the above research. The authors examined the land use performance of five different high-tech industrial parks in Haidian District, Beijing City. The results indicated that the indicator system per-forms better in the aspect of evaluating land use benefit, land use efficiency and function of the high-tech industrial zone compared with other models.

The Role of China's High-Tech Zones in Its Regional Economic Development

National high-tech industrial development zones represent a major strategy of the Chinese government in developing high-tech industries and spurring regional economic growth. The effect of this policy is yet to be proven. Based on the panel data of 283 Chinese cities between 1984 and 2012, this paper investigates the effect of high-tech zones on regional economic development. Empirical results suggest that first, national hightech zones have remarkably enhanced regional GDP and per capita GDP growth, and this conclusion still holds true after multiple rounds of robustness test; second, the economic effect of national high-tech zones is subject to diminishing marginal return and compared with higher-tier cities, lower-tier cities benefited more from the creation of national hightech zones. This paper concludes that national high-tech zones where special policies are experimented and offered not only drive economic development but, if properly distributed across regions, may help reduce regional economic disparities as well. The results of this study provide important implications for the future distribution of national high-tech zones and the creation of other relevant policies.

Re-measuring Status of China＇s High-Tech Industries in International Division of Labor： Applying a Non-Competitive Input-Output Model

Based on a refined ＂non-competitive input-output model,＂ this paper proposes a new framework for analyzing the status of a country＇s high-tech industries in the international division of labor, i.e. calculates the index of＂ weighted value-added productivity ＂ by compiling non-competitive input-output tables which distinguish high-tech industries from traditional industries. The new method effectively avoids ＂statistical illusion＂ which stems from a biased focus on gross exports under intra-product specialization. The empirical study shows that since 1995, the status of China＇s high-tech industries has grown quickly as a result of enhanced labor productivity, but still lags behind those of major developed countries. In addition, the study also suggests that the status of China＇s high-tech industries has been over-estimated using the traditional gross export statistical method.

Spatial Pattern Evolution and Industrial Characteristics of Economic and Technological Development Zones and High-tech Industrial Zones in China

Economic and technological development zone and high-tech industrial zone are important types of development zone in China,and there are differences in their connotation and goal setting.In this paper,basic data of national and provincial economic and technological development zones and high-tech industrial zones in China were collected and arranged.Kernel density analysis and other GIS spatial analysis techniques were used to analyze the evolution laws of spatial patterns of economic and technological development zones and high-tech industrial zones in cities from 2006 to 2018.First,the agglomeration intensity was compared by measuring the degree of regional agglomeration and dispersion on the two time nodes.Next,kernel density method was used to explore the evolution of the two in the spatial layout and location,and analyze development commonness and difference of economic and technological development zones and high-tech industrial zones.Finally,the trend and reason of spatial evolution of development zones with different leading industries were explored.Research results show that:①the agglomeration degree of layout of high-tech industrial zones is stronger than that of economic and technological development zones,and there are similarities and differences in distribution trend of spatial patterns of the two types of development zones;②the distribution of labor-intensive,capital-intensive and technology-intensive development zones is concentrated at smaller scales and dispersed at larger ones;③although there are differences between the economic and technological development zones and the high-tech industrial zones in the goal,support,structure and function,management system and so on,their spatial development presents a trend of convergence.In the future,when enhancing urban-rural planning and public administration,governments should combine the trend of industrial transformation and upgrading,and optimize spatial layout of development zones by adjusting industrial structure,layout,transportation and land use.

Research on Financial Targets Sequence of Impacting on Business Value—— Based on Data Analysis from Chinese High-tech Listed Firms of Unmodified Auditing Opinions

The high-tech listed firms are not only representative for mainstream of nongovernmental businesses, but also afflux new livingness into the capital market development in China. By considering our country＇s high-tech listed firms as study object, we have disclosed different degree between diverse financial targets and business value, built a financial targets sequence model of impact on business value. The study supplies a certain extent reference to valid supervising and exalting of firms＇ financial core.

Sino-Canadian High-Tech Center of Resources and Environment

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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.

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.