Complex adaptive system theory,agent-based modeling,and simulation in dominant technology formation

Dominant technology formation is the key for the hightech industry to“cross the chasm”and gain an established foothold in the market(and hence disrupt the regime).Therefore,a stimulus-response model is proposed to investigate the dominant technology by exploring its formation process and mechanism.Specifically,based on complex adaptive system theory and the basic stimulus-response model,we use a combination of agent-based modeling and system dynamics modeling to capture the interactions between dominant technology and the socio-technical landscape.The results indicate the following:(i)The dynamic interaction is“stimulus-reaction-selection”,which promotes the dominant technology’s formation.(ii)The dominant technology’s formation can be described as a dynamic process in which the adaptation intensity of technology standards increases continuously until it becomes the leading technology under the dual action of internal and external mechanisms.(iii)The dominant technology’s formation in the high-tech industry is influenced by learning ability,the number of adopting users and adaptability.Therein,a“critical scale”of learning ability exists to promote the formation of leading technology:a large number of adopting users can promote the dominant technology’s formation by influencing the adaptive response of technology standards to the socio-technical landscape and the choice of technology standards by the socio-technical landscape.There is a minimum threshold and a maximum threshold for the role of adaptability in the dominant technology’s formation.(iv)The socio-technical landscape can promote the leading technology’s shaping in the high-tech industry,and different elements have different effects.This study promotes research on the formation mechanism of dominant technology in the high-tech industry,presents new perspectives and methods for researchers,and provides essential enlightenment for managers to formulate technology strategies.

Layered injection technology for chemical flooding of Class-Ⅲ oil reservoirs in the Daqing Oil Fields complex,Songliao Basin,Northeast China

The Class-Ⅲ oil reservoirs of Lasaxing oilfield in the Daqing Oil Fields complex have geological oil reserves of 1.86 billion tonnes,an oil recovery of 39%,with remaining reserves accounting for more than 45%of the total geological reserves of the oilfield.Therefore,they have considerable potential for future oil production.The current layered injection technologies fail to achieve effective control over the low single-layer injection rates since they can only produce low throttle differential pressure under low injection rates(5-20 m^(3)/d).In this study,a symmetrically-structured double-offset-hole injection allocator and a novel throttling component were developed.Their spatial layout was constructed and mechanical parameters were optimized using finite element analysis,which allows for expanding the flow rate range at low injection rates.According to experimental results,the throttle differential pressure increased from 0.2 MPa to 0.8 MPa at an injection rate of 5 m^(3)/d,and the range of the single-layer flow rates expanded from 20-70 m^(3)/d to 5-70 m3/d.The field test results show that the effective production of oil layers with medium and low permeability was achieved and that the ratio of producing oil layer thickness to the total reservoir thickness increased by 9.7%on average.Therefore,this study provides valuable technical support for the effective chemical-flooding-based development of Class-Ⅲ oil reservoirs.

Complex heterozygous mutations in hereditary spherocytosis:A case report

BACKGROUND The aim of this study was to investigate the complex heterozygous mutations of ANK1 and SPTA1 in the same individual and improve our understanding of hereditary spherocytosis(HS)in children.We also hope to promote the application of gene detection technology in children with HS,with the goals of identifying more related gene mutations,supporting the acquisition of improved molecular genetic information to further reveal the pathogenesis of HS in children,and providing important guidance for the diagnosis,treatment,and prevention of HS in children.CASE SUMMARY A 1-year and 5-month-old patient presented jaundice during the neonatal period,mild anemia 8 months later,splenic enlargement at 1 year and 5 months,and brittle red blood cell permeability.Genetic testing was performed on the patient,their parents,and sister.Swiss Model software was used to predict the protein structure of complex heterozygous mutations in ANK1 and SPTA1.Genetic testing revealed that the patient harbored a new mutation in the ANK1 gene from the father and a mutation in the SPTA1 gene from the mother.Combined with the clinical symptoms of the children,it is suggested that the newly discovered complex heterozygous mutations of ANK1 and SPTA1 may be the cause,providing important guidance for revealing the pathogenesis,diagnosis,treatment,and promotion of gene detection technology in children with HS.CONCLUSION This case involves an unreported complex heterozygous mutation of ANK1 and SPTA1,which provides a reference for exploring HS.

Research Progress on the Bismuth Containing Complex Oxide in Photocatalystic Technology

The photocatalytic degradation on the bismuth containing complex oxide was revised in detail including the synthesis and classification of photocatalyts, and then the photocatalytic reaction, scavenger, and the mechanism of reaction. In particular, the perspectives of photocatalytic degradation on the bismuth containing oxide were analyzed in detail.

Exploring the asymmetric impact of economic complexity,FDI,and green technology on carbon emissions:Policy stringency for clean-energy investing countries

All economies are concerned about rising carbon emissions,which contribute to environmental degradation.The current paper formulates a novel framework to scrutinize the impacts of shocks in economic complexity,FDI,environmental technology,and renewable energy on carbon emission in the leading clean energy investment countries,spanning the period from 1995 to 2020.In spite of the constraint for better environmental defence and the realization of the Sustainable Development Goals(SDGs),this paper introduces an empirical approach utilizing the Panel NARDL methodology to investigate the asymmetrical connections between carbon emissions and relevant exogenous factors.Furthermore,we utilize additional techniques,namely AMG and CCEMG,to enhance the robustness of our findings.Our empirical findings reveal that positive shocks in economic complexity,FDI,environmental technology,and renewable energy reduce carbon emissions while negative shocks may result to elevated pollution levels in the long-run.However,adverse shocks in economic complexity and FDI cause increased pollution in the long run.Likewise,the short-run coefficient signs are also similar to the longrun coefficient signs but different in significance level and magnitude.This has paved the way for a well-designed policy for leading clean-energy investment countries should focus on structural change,FDI,technology and renewable energy consumption.

Inevitability and Emergent Problems of Science &Technology Innovation Access to Integration

The causes and the problems of integration of scientific ＆ technical innovation （ISTI） and inevitability are proposed. The status of domestic scientific ＆ technical innovation is analysed. A series of emergent managerial problems caused by the system ISTI （SISTI） are pointed out. Because of Hall three dimensions structure＇s enlightenment, a three dimensional logical net diagram in which the system integration of innovation based on problem in real world but not on disciplinary logic is drawn. The intelligent group＇ s need span is greater under the conditions of relatively low material level than common groups who have lower degree of education. The SISTI is composed by multi-rule and intelligent multi-agent behavior. It is concluded that the logical relationships of integrated technology which based on the author＇s experience and observation must be considerded for a valid management of SISTI.

BIM Technology in Application of Structure Construction in Hubei Olympic Sports Center

With the rapid development of modern large-span and large-complex steel structure buildings,at present the Building Information Modeling(BIM)technology plays an important role from the design to the construction of a building.This study takes the Comprehensive Gymnasium of Hubei Olympic Sports Center as the carrier and introduce the BIM technology from two aspects;The technology;and the management.Further,the optimal application of BIM technology in the complex component nodes,the technical guidance of component processing,and the correction and verification of drawings were emphatically analyzed in this paper.An engineering practice shows that the application of BIM technology has greatly improved the production efficiency,shortened the construction period,reduced unnecessary cost,and lastly laid a solid foundation for the smooth completion of the project.

A Survey on the Role of Complex Networks in IoT and Brain Communication

Complex networks on the Internet of Things(IoT)and brain communication are the main focus of this paper.The benefits of complex networks may be applicable in the future research directions of 6G,photonic,IoT,brain,etc.,communication technologies.Heavy data traffic,huge capacity,minimal level of dynamic latency,etc.are some of the future requirements in 5G+and 6G communication systems.In emerging communication,technologies such as 5G+/6G-based photonic sensor communication and complex networks play an important role in improving future requirements of IoT and brain communication.In this paper,the state of the complex system considered as a complex network(the connection between the brain cells,neurons,etc.)needs measurement for analyzing the functions of the neurons during brain communication.Here,we measure the state of the complex system through observability.Using 5G+/6G-based photonic sensor nodes,finding observability influenced by the concept of contraction provides the stability of neurons.When IoT or any sensors fail to measure the state of the connectivity in the 5G+or 6G communication due to external noise and attacks,some information about the sensor nodes during the communication will be lost.Similarly,neurons considered sing the complex networks concept neuron sensors in the brain lose communication and connections.Therefore,affected sensor nodes in a contraction are equivalent to compensate for maintaining stability conditions.In this compensation,loss of observability depends on the contraction size which is a key factor for employing a complex network.To analyze the observability recovery,we can use a contraction detection algorithm with complex network properties.Our survey paper shows that contraction size will allow us to improve the performance of brain communication,stability of neurons,etc.,through the clustering coefficient considered in the contraction detection algorithm.In addition,we discuss the scalability of IoT communication using 5G+/6G-based photonic technology.

Different in-vitro and Clinical Studies to Evaluate the Improvement of the Eyes Cream Containing the Natural Algal Complex

A natural algal complex is prepared from the brown alga Undaria pinnatifida rich in fucoidan and the red calcareous algal Corallina officinalis. The effect of the algal complex was demonstrated by transcriptomic analysis on normal human fibroblasts through the DNA chip technology from AFFYMETRIX, combined with the following in vitro Elisa test and clinical studies. Clinical studies have been performed with a basic cream containing complex versus placebo on 2 groups of 30 Caucasian women for a period of 28 days. In the present study, the natural algal complex works on the crow’s feet, eye bags, and dark cycle through multiple ways of action, including enhancing natural immune responses, regulating the inflammatory and immunity process, and promoting the extracellular matrix synthesis. As the natural algal complex has excellent improvement on the eye circumference, we have applied it to mageline firming anti-wrinkle eye cream for further research.

科技金融、技术转移与制造业价值链攀升

在当前“双循环”新发展格局下,科技金融为破除我国制造业在全球价值链中的低端锁定提供了有力支撑。利用2011-2021年中国省级面板数据,从技术转移视角实证考察科技金融对制造业价值链攀升的影响。研究发现:科技金融能够促进制造业价值链攀升,且该促进作用表现出地区及来源异质性。一方面,科技金融对东部地区价值链攀升作用明显;另一方面,来自风险投资机构、资本市场、企业的科技金融投入对制造业价值链攀升有显著推动作用。在影响机制方面,技术转移在科技金融促进制造业价值链攀升的过程中发挥部分中介作用;对于不同来源的科技金融投入,技术转移的中介作用具有异质性。此外,科技金融对制造业价值链攀升的促进效应还具有非线性特征,当技术转移水平跨越门槛值时,促进效应才会凸显。

数字经济是否有利于提升制造业出口技术复杂度?

数字经济已成为中国制造业价值创造和价值增值的新引擎,为提升中国制造业出口竞争力提供了新机遇。基于2005—2020年中国省际面板数据,以成本节约、人力资本、技术创新为中介机制,知识产权保护为门槛变量,研究数字经济是否对制造业出口技术复杂度具有提升作用。研究发现:数字经济可以显著促进制造业出口技术复杂度提升;中介效应检验表明成本节约、人力资本、技术创新均可以在数字经济提升制造业出口技术复杂度过程中发挥部分中介效应;进一步分析说明数字经济在跨过知识产权保护门槛后,对制造业出口技术复杂度提升作用有边际递增效应。

高技术复杂度工业机器人与全球价值链生产环节攀升

在科学识别工业机器人技术复杂度和价值链生产环节偏优指数的基础上,从多维度剖析高技术复杂度工业机器人对制造业全球价值链生产环节攀升的作用机制,并检验高技术复杂度工业机器人的“断供”威胁应对效应。得到的结论主要有:(1)高技术复杂度工业机器人对制造业全球价值链生产环节攀升具有促进作用。高技术复杂度工业机器人不仅能推动制造业生产技术与工艺从后发跻身准前沿和前沿,还能提升产业链关键核心环节的自主可控程度。(2)高技术复杂度工业机器人不仅有助于提升产业的价格加成能力,还有助于提升高端要素资源汇聚能力,更能提升政府支持的概率,上述渠道也使高技术复杂度工业机器人对生产环节攀升表现出正效应。(3)高技术复杂度工业机器人不仅能降低样本国对美国中间品的依赖程度,还能降低其对美国和主要盟友中间品的依赖程度。为此,高技术复杂度工业机器人能有效降低美国及其主要盟国“断供”威胁的不利冲击。(4)全球价值链生产环节偏优指数过高和工业机器人技术复杂度偏低共存窘境,使中国工业机器人应用深陷“量大技术弱”和对全球价值链生产环节攀升促进作用相对有限之痛,破解这一痛处的关键在于不断提升中国工业机器人技术的前沿性。

元宇宙初探:概念内涵、技术体系及发展建议

人工智能、虚拟现实、数字孪生等数字技术的快速发展,使得人类的生活空间不再仅仅局限于现实物理世界,以数字内容、数据算法构成的数字虚拟空间逐渐成为人们生活中不可或缺的一部分。“Metaverse(元宇宙)”被认为是未来虚实相融的终极形态,但由于概念转译问题以及缺乏广泛的学术共识,目前“元宇宙”依然是众说纷纭的状态,公众对这一概念难以形成准确清晰的认识。基于此,通过梳理数字生成技术的发展进程,从中国数字化进程和国情出发提出“复合宇宙”概念,从而促进相关部门、从业者、用户更好地理解这一新兴技术,引导产业的健康发展。在阐述复合宇宙的概念内涵的基础上,对元宇宙的必备要素、技术支撑、应用场景这3个方面进行深入阐述分析。最后,对元宇宙的未来发展提出建议,包括技术突破、规则制定、产业布局、人才培养等方面。

北京市南水北调配套工程调蓄工程勘察关键技术

北京市南水北调配套工程调蓄工程是北京市“26213”供水格局的重要组成部分,工程分布于北京市西、北、南不同地区,场地建设环境条件复杂,地层结构分布及组合多样,水文地质条件复杂,工程建设面临诸多地质问题及难题。工程勘察成果全面、涉及面广、涵盖工程勘察综合类的全专业领域,完成专业全面的技术成果文件与研究报告60余册,发表学术论文50余篇,取得七大方面技术创新、30余个技术创新点。勘察总体工作思路、技术路线、研发的创新技术、利用的先进手段等方面具有实践推广价值,特别是对城市复杂地质环境条件下建设城市供水调蓄工程具有借鉴作用。

建设统一大市场视角下高技术产业集聚对出口技术复杂度的门槛效应研究

本文以2009—2020年中国31个省份的高技术产业相关数据为样本,利用固定效应模型和门槛回归模型,从建设统一大市场视角探讨了高技术产业集聚对出口技术复杂度的影响。研究发现:第一,高技术产业集聚对出口技术复杂度整体上促进作用显著;第二,高技术产业集聚对出口技术复杂度存在市场一体化水平的单重门槛;第三,根据区域异质性检验可知,在中部和西部地区,高技术产业集聚对出口技术复杂度的促进作用更强,而在东部地区较小。基于此,本文针对促进高科技产业发展的问题提出相关建议,以供参考。

复杂信息环境下的科技情报体系能力建设

[目的/意义]高质量的科技情报对于支持我国科技创新、科技自立自强具有重要的现实意义。日趋激烈的大国科技博弈使科技情报工作面临更高的服务需求,进一步凸显科技情报体系能力的重要性。[方法/过程]从支持国家科技发展的战略视角,文章梳理国内外情报体系能力的相关研究,分析复杂信息环境下的科技情报体系能力建设的必要性和科技情报体系能力建设的核心内容。[结果/结论]研究结果表明,科技情报体系能力建设的核心内容与科技情报业务链的实施具有一定的关联性,基于业务场景的科技情报业务链设计可以提升科技情报体系能力,更好地服务于情报用户。

上海轨道交通车站暗挖技术应用与探索

[目的]上海的城市轨道交通经过多年发展,现已面临极其复杂和严苛的工程建设环境,地下车站大开挖导致的交通拥堵、房屋拆迁和管线搬迁等问题已逐渐成为社会舆论的焦点。针对地铁建设与周边环境的冲突与矛盾,上海轨道交通通过持续科技攻关和试验论证,提出了多项软土地层暗挖技术。[方法]介绍了暗挖技术的发展历史和应用现状;基于上海轨道交通建设的特点,介绍了上海轨道交通暗挖技术中顶管法、冻结法和管棚法的具体内涵及应用情况;探讨了大断面顶管法、超长特大断面管幕法、超浅埋大断面冻结法和束合管幕法等新型暗挖车站建造技术的研究和试点应用情况。[结果及结论]上海轨道交通暗挖技术主要包括盾构法、顶管法、冻结法、管棚法以及其他特殊暗挖工法,已广泛应用于地下区间工程、区间联络通道工程、车站附属结构工程以及车站局部改造工程等;新型暗挖车站建造技术能够有效应对新条件下上海轨道交通建设的特点和面临的挑战。

本土市场规模与制造业出口复杂度——基于国内国际市场协同的视角

在“双循环”新发展格局下,利用我国超大规模市场优势提升出口产品的复杂度显得尤为重要。通过构建本土市场规模影响出口复杂度的理论模型,采用147个国家(地区)205种制造业产品的出口数据进行实证检验,研究结果表明:本土市场规模对制造业出口复杂度呈显著促进效应,且这种作用在数字基础设施高水平国家、非毗邻大国国家以及发展中国家中表现得更为突出。渠道检验显示,本土市场规模可以通过提高技术创新水平进而影响出口复杂度。此外,基于国内、国际两个市场协同的视角,发现发展中国家进口依存度与本土市场规模具有协同效应,能够促进出口复杂度的提高,其出口依存度则存在负向作用,而发达国家则相反。

一种面向项目管理信息系统集成的复杂事件处理方法

大型项目管理信息系统中实时产生的海量事件,对深度挖掘系统的隐含特征具有重要意义。通过分析科技计划项目管理的业务逻辑和事件结构,提出项目管理事件模型。为描述事件之间的关系,定义项目管理事件操作符,实现事件的逻辑、算数和时间计算。基于复杂事件处理技术,提出一种面向项目管理信息系统的事件处理算法PMEP,执行事件处理规则,分析系统产生的海量事件,得到深层次的项目管理复杂事件。实验表明,PMEP算法可实现项目管理信息系统中海量事件的实时处理。

三维地震动态解释在淮北构造复杂煤矿生产中的应用

三维地震勘探技术在煤矿安全高效矿井地质保障系统中发挥着重要的作用,淮北矿区构造复杂,断层密度大,断层已成为严重制约淮北矿区采区接替和增储保供的主要因素。本文将三维地震动态解释应用于淮北构造复杂煤矿的生产中,在煤矿工作面设计、巷道掘进和工作面贯通等多个生产阶段开展地震动态解释,针对大巷掘进过程中地质保障的实际需求开展了地震动态解释工作。应用实践表明,煤矿工作面生产过程中的地震动态解释工作将分析对象限定为一个工作面、一条巷道甚至一条断层,研究对象更聚焦,更精准,且时效性强,能够为煤矿工作面生产过程提供较为准确的指导,助力煤矿安全高效开采。