基于Guided BERTopic模型的产业链关键核心技术识别与发展趋势研判--以未来工业互联网为例

产业链关键核心技术不仅是国之重器,而且对推动我国经济的高质量发展和保障国家安全起着至关重要的作用。当前,工业互联网产业链的关键技术发展成为我国的研究重点,该领域的重要性在2023年被提升至国家级重大研究计划。综合收集了1989-2024年中美两国在工业互联网领域的专利数据,基于《关键和新兴技术清单》和《未来工业互联网基础理论与关键技术重大研究计划》,构建了一套工业互联网产业链核心关键技术的种子词库。利用Guided BERTopic模型提取了产业链关键技术主题,并采用Logistic模型评估了这些技术的生命周期,进而对比中美两国的发展情况,提出了针对未来发展的建议。研究结果表明,相比美国,我国在大多数产业链核心技术方面仍处于成长阶段,而美国则已步入技术饱和阶段。展望未来,设备监测系统、设备管理系统、无线通信技术及能耗监测分析系统等被认为是具有巨大发展潜力的技术。研究提出了一种基于政策文件的产业链关键技术识别方法,并通过对工业互联网专利技术的实证分析,为制定相关政策提供了科学指导和建议。

基于熵权-TOPSIS法的建筑业高质量发展水平评价——以安徽省为例

新时代背景下,促进建筑业高质量发展对推进我国国民经济健康发展意义重大。基于建筑业高质量发展内涵,结合安徽省建筑业自身发展特点,从产业规模、技术水平、绿色发展、产业效益、共享发展5个子系统出发,建立安徽省建筑业高质量发展评价指标体系。运用熵权TOPSIS法构建安徽建筑业高质量发展评价模型,对2018—2022年高质量发展水平进行测度。研究表明,技术水平和产业规模所占权重较大,分别为0.2807、0.2422,是影响安徽省建筑业高质量发展的主要因素。从各个子系统的发展水平来看,技术水平和产业规模所涉及的指标最多,而绿色发展和共享发展方面的指标较少,存在一定的制约和不足。

Potential industrial applications of photo/electrocatalysis: Recent progress and future challenges

Nowadays,the rapid development of the social economy inevitably leads to global energy and environmental crisis.For this reason,more and more scholars focus on the development of photocatalysis and/or electrocatalysis technology for the advantage in the sustainable production of high-value-added products,and the high efficiency in pollutants remediation.Although there is plenty of outstanding research has been put forward continuously,most of them focuses on catalysis performance and reaction mechanisms in laboratory conditions.Realizing industrial application of photo/electrocatalytic processes is still a challenge that needs to be overcome by social demand.In this regard,this review comprehensively summarized several explorations in thefield of photo/electrocatalytic reduction towards potential industrial applications in recent years.Special attention is paid to the successful attempts and the current status of photo/electrocatalytic water splitting,carbon dioxide conversion,resource utilization from waste,etc.,by using advanced reactors.The key problems and challenges of photo/electrocatalysis in future industrial practice are also discussed,and the possible development directions are also pointed out from the industry view.

In-Depth Study of Potential-Based Routing and New Exploration of Its Scheduling Integration

Industrial wireless mesh networks(WMNs)have been widely deployed in various industrial sectors,providing services such as manufacturing process monitoring,equipment control,and sensor data collection.A notable characteristic of industrial WMNs is their distinct traffic pattern,where the majority of traffic flows originate from mesh nodes and are directed towards mesh gateways.In this context,this paper adopts and revisits a routing algorithm known as ALFA(autonomous load-balancing field-based anycast routing),tailored specifically for anycast(one-to-one-of-many)networking in WMNs,where traffic flows can be served through any one of multiple gateways.In essence,the scheme is a hybrid-type routing strategy that leverages the advantages of both back-pressure routing and geographic routing.Notably,its novelty lies in being developed by drawing inspiration from another field,specifically from the movement of charges in an electrostatic potential field.Expanding on the previous work,this paper explores further in-depth discussions that were not previously described,including a detailed description of the analogy between an electrostatic system and a WMN system based on precise mapping perspectives derived from intensive analysis,as well as discussions on anycast,numerical methods employed in devising the ALFA scheme,its characteristics,and complexity.It is worth noting that this paper addresses these previously unexplored aspects,representing significant contributions compared to previous works.As a completely new exploration,a new scheduling strategy is proposed that is compatible with the routing approach by utilizing the potential-based metric not only in routing but also in scheduling.This assigns higher medium access priority to links with a larger potential difference.Extensive simulation results demonstrate the superior performance of the proposed potential-based joint routing and scheduling scheme across various aspects within industrial WMN scenarios.

Advances of embedded resistive random access memory in industrial manufacturing and its potential applications

Embedded memory,which heavily relies on the manufacturing process,has been widely adopted in various industrial applications.As the field of embedded memory continues to evolve,innovative strategies are emerging to enhance performance.Among them,resistive random access memory(RRAM)has gained significant attention due to its numerousadvantages over traditional memory devices,including high speed(<1 ns),high density(4 F^(2)·n^(-1)),high scalability(~nm),and low power consumption(~pJ).This review focuses on the recent progress of embedded RRAM in industrial manufacturing and its potentialapplications.It provides a brief introduction to the concepts and advantages of RRAM,discusses the key factors that impact its industrial manufacturing,and presents the commercial progress driven by cutting-edge nanotechnology,which has been pursued by manysemiconductor giants.Additionally,it highlights the adoption of embedded RRAM in emerging applications within the realm of the Internet of Things and future intelligent computing,with a particular emphasis on its role in neuromorphic computing.Finally,the review discusses thecurrent challenges and provides insights into the prospects of embedded RRAM in the era of big data and artificial intelligence.

Offshore high-grade limemud resources of west coast of India:Economic potential and industrial applications

Limestone is one of the essential raw materials in the cement,paint,steel,ceramic,glass,chemical,pharmaceutical,paper,and fertilizer industries.In India,only 8%of the limestone resources are placed under the reserve category,of which 97%is of cement grade.Thus,India depends on imports to bridge the demand‐supply gap of steel,blast furnace,and chemical‐grade limestone.Efforts of Geological Survey of India(GSI)to locate alternate sources for limestone led to the discovery of enormous quantities of carbonate minerals called limemud from the continental shelf margin of the west coast of India.GSI carried out systematic studies to explore the nature of the disposition,quality,quantity,and suitability of the offshore limemud for various industrial applications.A preliminary estimate of resources using high‐resolution subbottom profiling and sediment core sample studies established the occurrence of more than 172 billion tonnes of high‐grade(The content of CaCO3 is greater than 80 wt%)limemud in 0.4–28.0m thick stratified sediment layers spread over an area of 18000 km2.Chemical,physical,mineralogical,beneficiation,and agglomeration studies found the offshore limemud as a potential replacement for limestone in the cement,filler,blast furnace,steel melting shop,lime production,paint,and Grade‐I steel industries.An assessment of mining and transportation costs indicates that the offshore limemud(USD 5–6/ton)is more cost‐effective than that imported from other countries(USD16‐18/ton).With several advantageous factors like low impurity,mode of occurrence in overburden‐free stratified form,fine‐grained slurry nature,and shallow water depth,sustainable mining of offshore limemud could be a future reality with controllable technological,economic,and environmental challenges.

Digitalization Enables Cultural,Commercial and Tourism Industries to Explore the Global Market

The recent 2024 National Tour ism Development Conference has clearly pointed out that China’s tourism industry has grown into the world’s largest domestic tourism market and has become an important destination in the international tourism sector,marking the rise of the tourism industry as a strategic pillar industry for the country.

Digital twin-and extended reality-based telepresence for collaborative robot programming in the 6G perspective

In the context of Industry 4.0,a paradigm shift from traditional industrial manipulators to Collaborative Robots(CRs)is ongoing,with the latter serving ever more closely humans as auxiliary tools in many production processes.In this scenario,continuous technological advancements offer new opportunities for further innovating robotics and other areas of next-generation industry.For example,6G could play a prominent role due to its human-centric view of the industrial domains.In particular,its expected dependability features will pave the way for new applications exploiting highly effective Digital Twin(DT)-and eXtended Reality(XR)-based telepresence.In this work,a novel application for the above technologies allowing two distant users to collaborate in the programming of a CR is proposed.The approach encompasses demanding data flows(e.g.,point cloud-based streaming of collaborating users and robotic environment),with network latency and bandwidth constraints.Results obtained by analyzing this approach from the viewpoint of network requirements in a setup designed to emulate 6G connectivity indicate that the expected performance of forthcoming mobile networks will make it fully feasible in principle.

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.

Leadership and Top Management Influence on Total Quality Management Implementation in the Ghanaian Construction Industry

This study aims to determine the key and underlying Leadership and Top Management (LTM) factors that have a significant impact on sustaining the implementation of Total Quality Management (TQM) within the construction industry in Ghana. The research methodology employed in this study was a quantitative technique. Questionnaires were distributed to 641 participants within construction industry in Ghana. Questionnaires retrieved for the analysis were 536. Three steps approached were used for the data analysis. These include Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM) analysis. After conducting the EFA and CFA, SEM was also used to analyze the construct validity. The SEM analysis helps to determine four key indicator variables for the leadership and top management construct. These include Leadership/Top Management approach to employees’ management, Leadership/Top Management understanding of TQM, Leadership/Top Management empowerment of employees to resolve quality issues, and Leadership/Top Management endorsement of TQM. All the four indicator variables were found to be good of fit and closely associated with the dependent variable. The study adds to the body of knowledge by using EFA, CFA and SEM techniques to establish key leadership and top management factors affecting TQM implementation in Ghana’s construction industry. The findings in general suggested that leadership and top Management factors identified have a direct positive impact on sustaining TQM implementation in the Ghanaian construction industry. Consequently, the leadership and top management factors identified in this study can help improve TQM in the Ghanaian construction industry.

Development Trend and Prediction of Stem Cell Technology in China from the Perspective of Patent

Objective To provide new ideas for the effective treatment of many serious diseases and to solve many major medical problems faced by mankind.Methods In this paper,the invention patents in the field of stem cells in China from 2010 to 2020 were taken as the research object,and the technology status quo in the field of stem cells was analyzed to predict the future development direction through quantitative analysis method.Results and Conclusion The development of stem cell technology in China is in a period of growth with great potential.Therefore,it is necessary to strengthen the ability of Chinese universities to combine production,education and research.Nowadays,the hotspots in stem cell technology are using culture medium to improve cell proliferation ability,production efficiency,and to induce differentiated cells.Meanwhile,the production efficiency of embryonic stem cells should be improved,and the immunomodulatory effect of embryonic stem cells can be exerted to screen drugs.Besides,the function of hematopoietic stem cells should be enhanced and apply mesenchymal cells in therapy.Since the potential technological gaps are the improvement of therapy,induced differentiation and efficiency of pluripotent stem cells,the improvement of progenitor cell proliferation and the control of cost,we should strengthen R&D investment in culture medium,embryonic stem cells and other technical fields,and achieve the purpose of reducing R&D costs and improving R&D efficiency.

Impact of Safety-Maintenance Practices on the Overall Performance of an Industry

The study aims to evaluate how safety-maintenance practices affect the mechanical engineering industry’s overall performance in Ghana. The study used a descriptive survey design technique to ascertain the type of maintenance engineering that was practiced in Ghanaian mechanical engineering workshops at the time of the study. In the mechanical engineering workshops, respondents provided both qualitative and quantitative data using a variety of data collecting instruments, with the quantitative approach being more common. The study employed Kumasi, Tamale, and Accra’s mechanical engineering workshops as a case study. The number of mechanical engineering workshop enterprises that made up the sample size for the questionnaire administration was sixty (60), chosen at random from the AGI membership registry. Primary data was gathered using interview guides and questionnaires. To analyse the data, descriptive statistics were employed. According to the study’s findings, mechanical engineering companies combined different maintenance techniques in order to best fit their organisational culture and equipment. Preventive shut-down, with a mean score of 4.78 and RII = 0.98, placing first (1st) in the Likert rating order, is the most frequently used maintenance system by respondents. The maintenance procedures employed by mechanical engineering organisations were influenced not only by their equipment and organisational culture but also by other factors such as cost, personnel expertise and external partnerships.

Evolution of Handicraft Industries in the Textile Sector in Saudi Arabia: A Comprehensive Analysis of Trends and Innovations

This review explores the evolution of the textile handicraft industry in Saudi Arabia, emphasizing its cultural and economic significance. The study highlights the transition from traditional practices to modern innovations and examines the impact of globalization and technological advancements on the industry. Key innovations are discussed, demonstrating their role in enhancing textile production while preserving cultural heritage. Major challenges, such as competition from industrial textiles and the need for sustainable practices, are identified. Opportunities for growth are explored, including leveraging tourism and international markets to promote Saudi handicrafts. The social and cultural impacts of the sector are underscored, particularly in sustaining community traditions and providing economic opportunities for artisans. Strategic recommendations for supporting and advancing the industry are offered, ensuring its continued relevance and sustainability in a rapidly changing global market. This analysis provides a robust framework for understanding the current state and future potential of Saudi Arabia’s textile handicraft industry.

Analysis of Patent Application Status of Scutellaria Barbata Industrial Chain Based on Patent Data

Objective To analyze patent application status of Scutellaria Barbata industrial chain and provide some suggestions for its patent application and product development.Methods Patent data were collected through IncoPat patent analysis system.Meanwhile,the patent analysis method combined with text mining method was adopted to analyze the situation and development trend of patent application in China’s Scutellaria Barbata industrial chain by using pie chart,bubble chart,trend chart and other visual charts to display the results.Results and Conclusion The patent application of Scutellaria Barbata in China mainly experienced three stages:Slow development,rapid development,and recession period.The number of patents is large,but the authorization rate is low.Individuals and enterprises are the main applicants for patent applications.Product development is involved in the whole industrial chain,but it basically focuses on its efficacy in downstream drugs,health food and other aspects.Therefore,government should enhance the awareness of patent protection,encourage collaborative innovation in industry-university-research to promote the combination of basic research and market application.Besides,it should provide theoretical support to tackle the problem of short board products,which can promote the transformation of scientific and technological achievements and contribute to the upgrading of Scutellaria Barbata industrial chain.

基于CNN-LSTM-Attention的工业控制系统网络入侵检测方法研究

随着各类网络攻击事件的增加,能源电力基础设施中工业控制系统安全问题也逐渐成为人们关注的焦点。结合电力系统的特点,提出一种融合卷积神经网络(convolutional neural network,CNN)、长短时记忆(long short-term memory,LSTM)神经网络和注意力(Attention)机制的CNN-LSTM-Attention网络入侵检测算法模型,通过在实验室仿真环境中构造和采集600 MW燃煤机组制粉系统在3种典型工况下受到网络攻击的运行状态数据集,对所提出的检测算法模型进行训练和评估。结果表明:相较于CNN、LSTM模型,所提出的入侵检测算法模型性能最优;模型准确率、精确率、召回率等评级指标均为最好,综合评价优于其他的入侵检测方法。该入侵检测算法模型具有较强的创新性和实用性。

The Development and Experience of American Pharmaceutical Industry Associations and Its Enlightenment to China

Objective To study the development history and current situation of pharmaceutical industry associations in the United State and to provide reference for China’s pharmaceutical industry associations.Methods Literature research and comparative study were used to investigate the development history and current situation of pharmaceutical associations in the United States.Then,their characteristics and experiences were summarized.Some countermeasures and suggestions were put forward for the existing problems of pharmaceutical associations in China.Results and Conclusion The institutional environment of pharmaceutical associations in the United States is relatively good,reflecting the characteristics of emphasizing process management and neglecting entrance management with and the help of public supervision.At the same time,the government advocates market competition by adhering to the market-oriented services for the public.American pharmaceutical industry associations have strong innovation capacity and perfect credit system.Drawing on the experience of pharmaceutical industry associations in the United States,China should strengthen the construction of pharmaceutical industry associations.Firstly,the supervision mechanism should be improved.Secondly,these associations should have good partnerships with the government and offer the public the best services.Finally,the fund-raising mechanism of pharmaceutical industry associations should be optimized to ensure the innovative development of the pharmaceutical industry.

Energy Minimization for Heterogenous Traffic Coexistence with Puncturing in Mobile Edge Computing-Based Industrial Internet of Things

Puncturing has been recognized as a promising technology to cope with the coexistence problem of enhanced mobile broadband(eMBB) and ultra-reliable low latency communications(URLLC)traffic. However, the steady performance of eMBB traffic while meeting the requirements of URLLC traffic with puncturing is a major challenge in some realistic scenarios. In this paper, we pay attention to the timely and energy-efficient processing for eMBB traffic in the industrial Internet of Things(IIoT), where mobile edge computing(MEC) is employed for data processing. Specifically, the performance of eMBB traffic and URLLC traffic in a MEC-based IIoT system is ensured by setting the threshold of tolerable delay and outage probability, respectively. Furthermore,considering the limited energy supply, an energy minimization problem of eMBB device is formulated under the above constraints, by jointly optimizing the resource blocks(RBs) punctured by URLLC traffic, data offloading and transmit power of eMBB device. With Markov's inequality, the problem is reformulated by transforming the probabilistic outage constraint into a deterministic constraint. Meanwhile, an iterative energy minimization algorithm(IEMA) is proposed.Simulation results demonstrate that our algorithm has a significant reduction in the energy consumption for eMBB device and achieves a better overall effect compared to several benchmarks.

基于TOPSIS熵权法的湖南省茶产业综合竞争力评价及对比研究

分析了湖南省茶产业的发展现状,基于钻石模型理论从六大要素构建湖南省茶产业竞争力评价指标体系,并运用熵权TOPSIS模型对湖南省茶产业竞争力进行评价与对比,利用聚类分析法对全国16个省市的茶产业竞争力进行实证分析,并有针对性地提出提升湖南省茶产业竞争力的对策及建议。

基于改进熵权TOPSIS的钢铁行业设备上云效果评价研究

为准确评价企业通过设备上云实现的经济、环保及能力提升等效果,解决钢铁行业缺少设备上云效果评价手段,企业普遍依赖专家经验或单一经济指标评估设备上云效果,导致评价主观性较强、维度单一和不准确的问题,从设备接入、设备服务和总体收益3个维度搭建了面向钢铁行业的设备上云效果评价指标体系,提出一种改进熵权TOPSIS法设定指标权重,使指标权重设定更为精确,应用模糊综合评价等方法计算企业设备上云效果得分,建设钢铁行业设备上云效果评价系统为企业提供自评估服务,并选取5家典型企业数据进行应用分析,验证了该方法能够帮助企业评估设备上云应用效果,指导企业科学开展设备上云工作。

基于Entropy-TOPSIS模型的中国省域森林康养产业竞争力实证研究

为明晰中国各省域森林康养产业竞争力状况,将产业竞争力相关理论进行融合,从竞争潜力、竞争实力、竞争转化力、竞争支撑力四个维度构建省域森林康养产业竞争力评价指标体系,依据2015—2020年森林康养产业发展相关指标动态数据,运用Entropy-TOPSIS模型对中国省域森林康养产业竞争力进行评价。结果表明:从动态趋势来看,全国森林康养产业综合竞争力水平总体呈现上升趋势,森林康养产业发展速度显著提升;当前中国省域森林康养产业竞争力水平差异悬殊,竞争力总体上呈现“西南及南部地区较高,西北地区最弱”的空间特征,各地森林康养产业准则层竞争力发展状况较不均衡;森林康养产业发展与地区森林资源发展状况吻合度较高,同时经济发展状况也在很大程度上影响森林康养产业竞争力。据此提出强化薄弱地区的基础设施建设、鼓励发展都市林业、注重森林康养与相关产业的融合发展以及制定相应帮扶政策等建议。