检索结果-南通市图书馆

Advanced porous materials and emerging technologies for radionuclides removal from Fukushima radioactive water

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Eco-Environment & Health 2023年第4期2卷 252-256页

作者： Xiaolu Liu Muliang Xiao Yang Li Zhongshan Chen Hui Yang Xiangke Wang MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China

Japan recently announced the plan to discharge over 1.2 million tons of radioactive water into the Pacific Ocean,which contained hazardous radionuclides such as^(60)Co,^(90)Sr,^(125)Sb,^(129)I,^(3)H,^(137)Cs,and^(99)TcO^(4)^(-),etc.The contaminated water will pose an enormous threat to global ecosystems and human health.Developing materials and technologies for efficient radionuclide removal is highly desirable and arduous because of the extreme conditions,including super acidity or alkalinity,high ionic strength,and strong ionizing radiation.Recently,advanced porous material,such as porous POPs,MOFs,COFs,PAFs,etc.,has shown promise of improved separation of radionuclides due to their intrinsic structural advantages.Furthermore,emerging technologies applied to radionuclide removal have also been summarized.In order to better deal with radionuclide contamination,higher requirements for the design of nanomaterials and technologies applied to practical radionuclide removal are proposed.Finally,we call for comprehensive implementation of strategies and strengthened cooperation to mitigate the harm caused by radioactive contamination to oceans,atmosphere,soil,and human health.

关键词： Radioactive water Radionuclides removal Advanced porous materials emerging technologies

Towards data-driven models for diverging emerging technologies for maternal,neonatal and child health services in Sub-Saharan Africa:a systematic review

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Global Health Journal 2022年第4期6卷 183-191页

作者： John Batani Manoj Sewak Maharaj School of Management IT and GovernanceUniversity of KwaZulu-NatalDurbanSouth Africa

Sub-Saharan Africa(SSA)has the highest maternal and under-five mortality rates in the world.The advent of the coronavirus disease 2019 exacerbated the region's problems by overwhelming the health systems and affecting access to healthcare through travel restrictions and rechanelling of resources towards the containment of the pandemic.The region failed to achieve the Millenium Development Goals on maternal and child mortalities,and is poised to fail to achieve the same goals in the Sustainable Development Goals.To improve on the maternal and child health outcomes,many SSA countries introduced digital technologies for educating pregnant and nurs-ing women,making doctors'appointments and sending reminders to mothers and expectant mothers,as well as capturing information about patients and their illnesses.However,the collected epidemiological data are not being utilised to inform patient care and improve on the quality,efficiency and access to maternal,neonatal and child health(MNCH)care.To the researchers'best knowledge,no review paper has been published that focuses on digital health for MNCH care in SSA and proposes data-driven approaches to the same.Therefore,this study sought to:(1)identify digital systems for MNCH in SSA;(2)identify the applicability and weaknesses of the dig-ital MNCH systems in SSA;and(3)propose a data-driven model for diverging emerging technologies into MNCH services in SSA to make better use of data to improve MNCH care coverage,efficiency and quality.The PRISMA methodology was used in this study.The study revealed that there are no data-driven models for monitoring pregnant women and under-five children in Sub-Saharan Africa,with the available digital health technologies mainly based on SMS and websites.Thus,the current digital health systems in SSA do not support real-time,ubiquitous,pervasive and data-driven healthcare.Their main applicability is in non-real-time pregnancy moni-toring,education and information dissemination.Unless new and more effective approaches are implemented,SSA m

关键词： Data-driven healthcare Under-five mortality Maternal mortality emerging technologies Pervasive healthcare Sub-Saharan Africa

Sensors and healthcare 5.0:transformative shift in virtual care through emerging digital health technologies

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Global Health Journal 2021年第4期5卷 169-177页

作者： Elliot Mbunge Benhildah Muchemwa Sipho'esihle Jiyane John Batani Department of Computer Science Faculty of Science and EngineeringUniversity of EswatiniKwaluseniManziniEswatini Department of Information Technology Faculty of Accounting and InformaticsDurban University of TechnologyP.O.Box 1334Durban 4000South Africa Faculty of Engineering and Technology Botho UniversityMaseru 100Lesotho

emerging digital technologies continues to evolve posing unprecedented opportunities in health systems globally to improve healthcare services delivery.There has been significant progress in healthcare.However,the lack of emotive recognition coupled with a dearth of personalized and pervasive health applications and emotive smart devices calls for the integration of intelligent sensors health systems through emerging technologies.Although there has been significant progress in smart and connected health care,more research innovation,dissemination and technologies are needed to unbundle new opportunities and move towards healthcare 5.0.Healthcare is at the dawn of a paradigm change to reach the new era of smart disease control and detection,virtual care,smart health management,smart monitoring,and decision-making.Therefore,this study discusses the roles and capacities of sensors,their capabilities and other emerging technologies such as nanotechnology,5 G technologies,drone technology,blockchain,robotics,big data,internet of things,artificial intelligence,and cloud computing.Healthcare 5.0 provides healthcare services including patient remote monitoring.tracking and virtual clinics,emotive telemedicine,ambient assisted living,smart self-management,wellness monitoring and control,smart treatment reminders,compliance and adherence,and personalized and connected health care.However,building resilience and robust healthcare 5.0 is not immune to challenges.Organizational challenges,technological and infrastructural barriers,lack of legal and regulatory frameworks and e-health policies,individual perceptions,misalignment with hospitals'strategy,lack of funding,religious and cultural bariers are identified as potential barriers to the successful implementation of healthcare 5.0.Therefore,there is a need for building resilient technology-driven healthcare systems.To achieve this,there is a need for expanding technological infrastructure,provision of budgetary support based on sustainable business models,develop appropriat

关键词： Healthcare 5.0 Sensors Smart devices Virtual care emerging technologies Coronavirus disease 2019(COVID-19)

CONCEPTUAL MODEL OF emerging technologies’ TECHNICAL UNCERTAINTY

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

CONCEPTUAL MODEL OF EMERGING TECHNOLOGIES’ TECHNICAL UNCERT...

Optimal Deep Learning Model Enabled Secure UAV Classification for Industry 4.0

2005年中国机械工程学会年会

作者： LIU Ju, LI Yongjian (School of Management, University of Electronics Science and Technology, Chengdu, 610054, China)

＜正＞emerging technologies are now initiating new industries and transforming old ones with tremendous power. This paper defines emerging technologies on the basis of comparing with some other confusing concepts in China, like high-tech, new-tech, high-new-tech. It presents the results of an analysis to show the sources and the attributes of technical uncertainty of emerging technologies. Relevant cases and examples in both China and the rest of the world are mentioned.

关键词： emerging technologies connotations technical uncertainty sources attributes

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第3期74卷 5349-5367页

作者： Khalid A.Alissa Mohammed Maray Areej A.Malibari Sana Alazwari Hamed Alqahtani Mohamed K.Nour Marwa Obbaya Mohamed A.Shamseldin Mesfer Al Duhayyim SAUDI ARAMCO Cybersecurity Chair Networks and Communications DepartmentCollege of Computer Science and Information TechnologyImam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Information Systems College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Industrial and Systems Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif P.O.Box 11099Taif21944Saudi Arabia Department of Information Systems College of Computer ScienceCenter of Artificial IntelligenceUnit of CybersecurityKing Khalid UniversityAbhaSaudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Mechanical Engineering Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

emerging technologies such as edge computing,Internet of Things(IoT),5G networks,big data,Artificial Intelligence(AI),and Unmanned Aerial Vehicles(UAVs)empower,Industry 4.0,with a progressive production methodology that shows attention to the interaction between machine and human beings.In the literature,various authors have focused on resolving security problems in UAV communication to provide safety for vital applications.The current research article presents a Circle Search Optimization with Deep Learning Enabled Secure UAV Classification(CSODL-SUAVC)model for Industry 4.0 environment.The suggested CSODL-SUAVC methodology is aimed at accomplishing two core objectives such as secure communication via image steganography and image classification.Primarily,the proposed CSODL-SUAVC method involves the following methods such as Multi-Level Discrete Wavelet Transformation(ML-DWT),CSO-related Optimal Pixel Selection(CSO-OPS),and signcryption-based encryption.The proposed model deploys the CSO-OPS technique to select the optimal pixel points in cover images.The secret images,encrypted by signcryption technique,are embedded into cover images.Besides,the image classification process includes three components namely,Super-Resolution using Convolution Neural Network(SRCNN),Adam optimizer,and softmax classifier.The integration of the CSO-OPS algorithm and Adam optimizer helps in achieving the maximum performance upon UAV communication.The proposed CSODLSUAVC model was experimentally validated using benchmark datasets and the outcomes were evaluated under distinct aspects.The simulation outcomes established the supreme better performance of the CSODL-SUAVC model over recent approaches.

关键词： Unmanned Aerial Vehicles Artificial Intelligence emerging technologies Deep Learning Industry 4.0 image steganography

Pneumoconiosis: current status and future prospects

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Medical Journal 2021年第8期134卷 898-907页

作者： Xian-Mei Qi Ya Luo Mei-Yue Song Ying Liu Ting Shu Ying Liu Jun-Ling Pang Jing Wang Chen Wang Department of Pathophysiology State Key Laboratory of Medical Molecular BiologyInstitute of Basic Medical SciencesChinese Academy of Medical SciencesPeking Union Medical CollegeBeijing 100730China Beijing University of Chinese Medicine Beijing 100029China Department of Physiology State Key Laboratory of Medical Molecular BiologyInstitute of Basic Medical SciencesChinese Academy of Medical SciencesPeking Union Medical CollegeBeijing 100730China

Pneumoconiosis refers to a spectrum of pulmonary diseases caused by inhalation of mineral dust,usually as the result of certain occupations.The main pathological features include chronic pulmonary inflammation and progressive pulmonary fibrosis,which can eventually lead to death caused by respiratory and/or heart failure.Pneumoconiosis is widespread globally,seriously threatening global public health.Its high incidence and mortality lie in improper occupational protection,and in the lack of early diagnostic methods and effective treatments.This article reviews the epidemiology,safeguard procedures,diagnosis,and treatment of pneumoconiosis,and summarizes recent research advances and future research prospects.

关键词： Pneumoconiosis Epidemiology Diagnosis Treatment emerging technologies

Commercialization of disruptive innovations:Literature review and proposal for a process framework

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

International Journal of Innovation Studies 2021年第3期5卷 127-144页

作者： Javier Nieto Cubero Saheed Adebayo Gbadegeshin Carolina Consolación Design Processes Research Group EINACentre Universitari de Disseny I ArtUniversitat Autonoma De Barcelona08017BarcelonaSpain Department of Management and Entrepreneurship Turku School of EconomicsUniversity of Turku20014TurkuFinland Department of Management ETSEBCUniversitat Politecnica De Catalunya08034BarcelonaSpain

The challenges of disruptive innovations have gained significant attention from both academics and practitioners,commercialization being one of the most critical phases.At the same time,however,it is the less studied area of disruptive innovation.Therefore,this article examined scholarly papers on the commercialization of disruptive innovations through a multidisciplinary systematic literature review.It resulted in the analysis of 64 high-quality peer-reviewed academic articles.The analysis highlighted the commercialization models and main constructs that are affecting the commercialization process:market orientation,market learning,user’s involvement,market configuration,adoption networks and stakeholders,and innovation transference.The study evidences how commercialization has evolved from a later stage in innovation to influence even the early phases of innovation,characterized in turn by exploration,learning and ecosystem creation activities.Additionally,the analysis led to a proposition that established an integrated commercialization model for high uncertainty innovations.The model has three phases:1)Concept/value proposition validation,2)Business model validation&Market creation,and 3)Creating sales in the majority market.Lastly,the article contributes to a better understanding of commercialization processes in high uncertainty innovations,bridging also the academic-practitioner divide.

关键词： Disruptive innovation Radical innovation emerging technologies Commercialization process Market creation Scale-up Lean start-up

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

新兴技术价值前置型治理

科学技术哲学 2018年第9期 103-110页

作者：陈瑜丁堃

新兴技术不确定性特征使得新兴技术应用带来了出人意料、非常严重的社会问题，这使得新兴技术治理成为了一项重要的议题。新兴技术治理一般基于传统专家决策模式，但该模式不具有新兴技术的全部知识和信息，也无法决定广泛社会主体的偏... 详细信息

新兴技术不确定性特征使得新兴技术应用带来了出人意料、非常严重的社会问题，这使得新兴技术治理成为了一项重要的议题。新兴技术治理一般基于传统专家决策模式，但该模式不具有新兴技术的全部知识和信息，也无法决定广泛社会主体的偏好和价值，更难以应对新兴技术不确定性引发的社会问题。治理背景下，研究提出新兴技术价值前置型治理的新路径，并利用治理网络重新分配治理主体的权力、利用政策网络阐述多元主体协商和互动的博弈过程、利用公众参与实践获取多元主体充分和对称的信息，为应对新兴技术不确定性提供了有效的治理路径和工具。

关键词：治理不确定性价值前置新兴技术 Governance Uncertainty Pre-value emerging technologies

来源：人大复印报刊资料评论

在线全文

人大复印报刊资料

学校读者我要写书评

暂无评论

基因工程的伦理动机与消极后果预防