Biological contaminants(BCs),including but not limited to various pathogens and their endogenous pol-lutants such as intracellular pathogens and antimicrobial resistance genes(ARGs),are ubiquitously detected in efflue...Biological contaminants(BCs),including but not limited to various pathogens and their endogenous pol-lutants such as intracellular pathogens and antimicrobial resistance genes(ARGs),are ubiquitously detected in effluent of wastewater and drinking water treatment systems which were originally designed to remove common indicator bacteria,resulting in potential impacts on public health.Although there are many emerging technologies that showing promising antimicrobial effects,few have progressed to the actual water scenarios.It’s crucial to understand the main knowledge gaps and thereby design the future developments to better meet engineering requirements.In this review,we first summarize the perfor-mance of conventional water treatment towards BCs removal.Then we showcase the advances of proof-of-concept strategies,including nanotechnology,advanced oxidation process,biological control process and integrated techniques,for BCs control in light of antimicrobial mechanisms,characteristics,proper niches in water treatment,challenges and latest improvements.Further,we proposed a semi-quantitative framework coupling life cycle assessment(LCA)and analytic hierarchy process(AHP)to assess and compare the application potential of representative pilot technologies,in which the antimicro-bial effects,economic issues and sustainability are comprehensively considered.For wastewater treat-ment,non-thermal plasma weights highest among the emerging technologies and outperforms conventional disinfection in terms of efficacy indicators(overall inactivation rate,ARGs removal rate,and growth inhibition),but fall behind overall mainly due to more energy input.Bacteriophage-based treatment has the potential to synergistically inactive the persistent pathogens in combination with con-ventional disinfection,serving as a cost-effective and environmental-friendly supplement.For drinking water treatment,the integrated photocatalytic nanocomposite receives the highest application potential among the emerging technologies and appears to be supplementary or even alternative next-generation disinfectants.This review shares valuable insights to propel the proof-of-concept antimicrobial trials towards industrial procedures.展开更多
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 affec...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 might remain with the highest and unacceptable maternal and under-five mortality rates globally.The study proposes feasible emerging technologies that can be used to provide data-driven healthcare for MNCH in SSA,and the recommendations on how to make the transition successful as well as the lessons learn from other regions.展开更多
Three years ago,ZTE Communications published a special issue called Emerging Technologies of Multimedia Coding,Analysis and Transmission.Over the past three years,great advances have been made in multimedia.The purpos...Three years ago,ZTE Communications published a special issue called Emerging Technologies of Multimedia Coding,Analysis and Transmission.Over the past three years,great advances have been made in multimedia.The purpose of this special issue is to report on the progress and展开更多
This article will analyze importance of emergent technologies as drivers for developing organizational innovation competencies. The relevance of this research is based on the approach to emergent technologies articula...This article will analyze importance of emergent technologies as drivers for developing organizational innovation competencies. The relevance of this research is based on the approach to emergent technologies articulating them with the competencies development models and organizational innovation theories. To formulate the research problem, two analytical dimensions were considered： emergent technologies and organizational innovation competencies anchored to the following research question： What are the organizational innovation competencies that rise from emergent technologies adoption by companies？ Based on the literature review of prospective studies conducted in economic clusters in Portugal, the organizational innovation competencies that raised from the adoption of emerging technologies were investigated and identified： internet, mobile technologies, artificial intelligence, big data, robotics, and nanotechnologies. The methodology used was document analysis, based on the prospective sectorial studies on Portuguese industry.展开更多
With the rapid advancements in technology,especially in digitalization and intelligence,numerous modern technologies have poured into rural schools,effectively improving their informatization conditions.Nevertheless,t...With the rapid advancements in technology,especially in digitalization and intelligence,numerous modern technologies have poured into rural schools,effectively improving their informatization conditions.Nevertheless,these technologies remain detached from rural teachers,failing to significantly enhance the quality of education and teaching in rural areas.Rural education is a crucial aspect of ensuring balanced development in education.The question of how to enhance rural teachers’technological application abilities and fully leverage the positive role of technology in rural education and teaching has become a significant topic of current research on rural education issues.To better address this question,this study conducted a thorough examination of the specific appeals of rural teachers in the process of technology enablement.It was discovered that rural teachers generally face dilemmas such as insufficient technological application abilities,difficulties in obtaining quality teaching resources,and the lack of continuous technical support and update mechanisms.Based on these findings,specific pathways such as strengthening rural teacher training,optimizing the allocation of educational resources,and establishing mechanisms for continuous technical support and updates are proposed to aid in the high-quality development of rural education.展开更多
This study aims to investigate the influence of emerging technology adoption on tax compliance, encompassing both the Internal Revenue Service’s (IRS) compliance audits and taxpayers’ compliance performance (collect...This study aims to investigate the influence of emerging technology adoption on tax compliance, encompassing both the Internal Revenue Service’s (IRS) compliance audits and taxpayers’ compliance performance (collectively, tax compliance). We employed the Gradient Descent optimization algorithm, an artificial intelligence (AI) technology application, to scrutinize the connection between the quality of US tax filings and the development of emerging technology, among other contributing factors. Additionally, we utilized multiple linear regression to evaluate the relationships between dependent variables, specifically IRS audit rates and the no-change rate at different income levels,1 and several independent variables, including a proxy for emerging technology in the form of tax software. Our findings reveal that while emerging technology significantly impacts tax compliance within the IRS and taxpayers’ performance, its effects vary across income groups. Notably, emerging technology seems to confer greater advantages to higher-income individuals compared to their lower-income counterparts. These study results hold considerable policy implications for government decision-makers in promoting the adoption of emerging technology among lower-income taxpayers.展开更多
Based on the research on emerging technologies and ＂the technology species＂, this thesis tries to find out the homologous relations between emerging technology and new species. The theory of the new biology species ...Based on the research on emerging technologies and ＂the technology species＂, this thesis tries to find out the homologous relations between emerging technology and new species. The theory of the new biology species in synthetic evolution and the modern genetics is referred in the research. The modes of forming emerging technologies are discussed through some examples of IT evolvement according to modes of the biology speciation. Finally, it is pointed out that the biology species origin theory can analogize continuously the research about the evolvement mode of every emerging technology, and the implications have been bought to enterprises based on the formation conditions of each mode.展开更多
The recent years have witnessed unprecedented growth in digital infrastructure,driven by rapid advances in cloud computing,the Internet of Things(IoT),smart cities,healthcare informatics,and industrial automation.Whil...The recent years have witnessed unprecedented growth in digital infrastructure,driven by rapid advances in cloud computing,the Internet of Things(IoT),smart cities,healthcare informatics,and industrial automation.While these technologies have improved efficiency and connectivity,they have also created complex vulnerabilities that more sophisticated cyber adversaries can exploit.Cybersecurity is no longer a static domain but a constantly evolving field where threats such as ransomware,advanced persistent threats,and zero-day exploits demand adaptive,intelligent,and proactive responses.Emergent technologies such as artificial intelligence(AI),deep learning,distributed architectures,chaos theory,and post-quantum cryptography are transforming the way we conceptualise and implement information security.These approaches offer not only enhanced accuracy and robustness but also scalability,adaptability,and resilience across diverse,resource-limited environments.Consequently,the goal of this Special Issue on Emerging Technologies in Information Security is to compile innovative contributions that advance the boundaries of theory and practice in this swiftly evolving field.展开更多
The pollution caused by veterinary antibiotics(VAs)has become a global concern due to their role in promoting antimicrobial resistance in the environment.Animal manure,often referred to as animal slurry,contains subst...The pollution caused by veterinary antibiotics(VAs)has become a global concern due to their role in promoting antimicrobial resistance in the environment.Animal manure,often referred to as animal slurry,contains substantial amounts of VAs originating from animal urine and feces.Since animal manure is commonly used as a nutrient-rich fertilizer,understanding the degradation of VAs and ensuring their efficient removal are essential for effective manure management.This article critically reviews the emerging technologies effective in VA removal,such as adsorption,membrane separation,advanced oxidation processes,carbonization,and bioelectrochemical systems.While these technologies have been extensively studied for their ability to remove pharmaceuticals from common water and wastewater,their applicability to real manure treatment remains insufficiently explored.This article outlines the challenges associated with each technology,particularly concerning the complex compo-sition of animal manure.It highlights the potential of these technologies as supplementary or post-treatment options to improve VA removal,particularly during periods of high VA usage for therapeu-tic purposes.Finally,the article offers several recommendations,including advancements in animal manure collection,the importance of VA removal to mitigate antimicrobial resistance,and the potential for integrating multiple technologies to optimize VA removal.展开更多
Future financing has the potential to evolve into a forward-looking and ingenious system that can enrich diverse technologies.This investigation focuses on five attractive emerging technologies tied to the finance,nam...Future financing has the potential to evolve into a forward-looking and ingenious system that can enrich diverse technologies.This investigation focuses on five attractive emerging technologies tied to the finance,namely artificial intelligence(AI),machine learning,blockchain,augmented reality(AR)/virtual reality(VR),and quantum mechanics.Within the financial milieu,there is an ongoing pursuit for more precise,optimized,secure,and agile solutions capable of managing multifarious financial undertakings.Emerging technologies present remarkable modalities for achieving these objectives.This scholarly exposition expounds upon the creation of emerging technologies within the financial world,while concurrently deliberating upon the prospective applications of these technologies within financial systems.Given the nascent stage of development that characterizes these emerging technologies,the advancement of financial performance emerges as a substantial challenge owing to both technological and operational advantages.Technology-oriented financing has emerged as an essential trajectory for shaping the future of finance.展开更多
Natural disasters have increasingly disrupted and devastated economic and social systems worldwide.Emerging technologies,such as artificial intelligence and machine learning have demonstrated significant potential for...Natural disasters have increasingly disrupted and devastated economic and social systems worldwide.Emerging technologies,such as artificial intelligence and machine learning have demonstrated significant potential for enhancing natural disaster risk management(DRM).However,existing studies predominantly emphasize practical technological applications,focusing narrowly on specific use cases.Only a limited number of conceptual frameworks have been proposed,each grounded in distinct thematic perspectives,such as principle-technology integration,life-cycle application,or operational reliability.Critically,there remains a notable gap regarding a comprehensive framework that systematically addresses data challenges inherent in DRM.This paper proposes a data-governance-oriented conceptual framework that classifies three major data challenges—insufficient data,poor data quality,and limited application,across both objective and subjective dimensions of risk management.By integrating practical case studies,the framework illustrates how emerging technologies can systematically mitigate these challenges.Furthermore,this paper identifies new data-related risks introduced by emerging technologies.By offering a closed-loop structure that aligns internal data governance with evolving DRM needs,this work contributes novel and actionable approaches to guiding the integration of emerging technologies into disaster risk management practice.展开更多
With the rapid development of science and technology,new sensing technology has been used increasingly in mechatronics system,for the system of intelligent,automation and efficiency,provide strong support.Emerging sen...With the rapid development of science and technology,new sensing technology has been used increasingly in mechatronics system,for the system of intelligent,automation and efficiency,provide strong support.Emerging sensor technology in electromechanical integration system of innovative applications not only promote the system of intelligent upgrade,also for its wide application in the field of multiple provides a strong support,and along with the advance of technology and application scenario development,emerging sensor technology in electromechanical integration system to play a more important role.In this regard,this paper first expounds the overview of emerging sensing technology,then analyzes the innovation and integration of emerging sensing technology and mechatronics system,and finally further explores the practical application of emerging sensing technology in mechatronics system,in order to provide some reference for relevant researchers.展开更多
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 lac...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 appropriate legal and e-health policies,standardization and synchronization of protocols,improving stakeholders'engagement and involvement and establishment of private and public partnerships and investments.展开更多
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)T...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.展开更多
The general features and the emerging technologies of liquid crystal displays are described from the viewpoints of wide viewing and fast response technologies. The device applications of liquid crystals for optical co...The general features and the emerging technologies of liquid crystal displays are described from the viewpoints of wide viewing and fast response technologies. The device applications of liquid crystals for optical communications are also described.展开更多
Modern cardiopulmonary resuscitation(CPR)has been established for more than 60 years;however,its success rate remains low.Currently,the global incidence of out-of-hospital cardiac arrest(OHCA)is rising,ranging from 52...Modern cardiopulmonary resuscitation(CPR)has been established for more than 60 years;however,its success rate remains low.Currently,the global incidence of out-of-hospital cardiac arrest(OHCA)is rising,ranging from 52.5 to 97.1 per 100,000 population.[1,2]Survival-to-discharge rates for OHCA and in-hospital cardiac arrest(IHCA)are not satisfactory,with ranges of 1.2%-9.9%and 9.1%-19.1%,respectively.展开更多
Low power consumption is a major issue in nowadays electronics systems. This trend is pushed by the development of data center related to cloud services and soon to the Internet of Things （IoT） deployment. Memories ...Low power consumption is a major issue in nowadays electronics systems. This trend is pushed by the development of data center related to cloud services and soon to the Internet of Things （IoT） deployment. Memories are one of the major contributors to power consumption. However, the development of emerging memory technologies paves the way to low-power design, through the partial replacement of the dynamic random access memory （DRAM） with the non-volatile stand-alone memory in servers or with the embedded or distributed emerging non-volatile memory in IoT objects. In the latter case, non-volatile flip-flops （NVFFs） seem a promising candidate to replace the retention latch. Indeed, IoT objects present long sleep time and NVFFs offer to save data in registers with zero power when the application is idle. This paper gives an overview of NVFF architecture flavors for various emerging memory technologies.展开更多
It is obvious that in the next ten years,lithium ion batteries are still the dominating power source for a wide range of products including consumable electronics,vehicles(cars,motorbikes,scooters,buses),drones,and ev...It is obvious that in the next ten years,lithium ion batteries are still the dominating power source for a wide range of products including consumable electronics,vehicles(cars,motorbikes,scooters,buses),drones,and even robots and tanks.However,in the pursuit of cost-effective,safety-reliable,and highly efficient energy storage technologies,researchers are developing展开更多
Purpose:Nanomedicine has significant potential to revolutionize biomedicine and healthcare through innovations in diagnostics,therapeutics,and regenerative medicine.This study aims to develop a novel framework that in...Purpose:Nanomedicine has significant potential to revolutionize biomedicine and healthcare through innovations in diagnostics,therapeutics,and regenerative medicine.This study aims to develop a novel framework that integrates advanced natural language processing,noise-free topic modeling,and multidimensional bibliometrics to systematically identify emerging nanomedicine technology topics from scientific literature.Design/methodology/approach:The framework involves collecting full-text articles from PubMed Central and nanomedicine-related metrics from the Web of Science for the period 2013-2023.A fine-tuned BERT model is employed to extract key informative sentences.Noiseless Latent Dirichlet Allocation(NLDA)is applied to model interpretable topics from the cleaned corpus.Additionally,we develop and apply metrics for novelty,innovation,growth,impact,and intensity to quantify the emergence of novel technological topics.Findings:By applying this methodology to nanomedical publications,we identify an increasing emphasis on research aligned with global health priorities,particularly inflammation and biomaterial interactions in disease research.This methodology provides deeper insights through full-text analysis and leading to a more robust discovery of emerging technologies.Research limitations:One limitation of this study is its reliance on the existing scientific literature,which may introduce publication biases and language constraints.Additionally,manual annotation of the dataset,while thorough,is subject to subjectivity and can be time-consuming.Future research could address these limitations by incorporating more diverse data sources,and automating the annotation process.Practical implications:The methodology presented can be adapted to explore emerging technologies in other scientific domains.It allows for tailored assessment criteria based on specific contexts and objectives,enabling more precise analysis and decision-making in various fields.Originality/value:This study offers a comprehensive framework for identifying emerging technologies in nanomedicine,combining theoretical insights and practical applications.Its potential for adaptation across scientific disciplines enhances its value for future research and decision-making in technology discovery.展开更多
Horticultural products such as fruits,vegetables,and tea offer a range of important nutrients such as protein,carbohydrates,vitamins and lipids.However,the present yield and quality do not meet the requirements of the...Horticultural products such as fruits,vegetables,and tea offer a range of important nutrients such as protein,carbohydrates,vitamins and lipids.However,the present yield and quality do not meet the requirements of the rapid population growth associated with global climate change,the decline in horticultural practitioners,poor automation,and epidemic diseases such as COVID-19.In this context,smart horticulture is expected to greatly improve the land output rates,resource-use efficiency,and productivity,all of which should facilitate the sustainable development of the horticulture industry.Emerging technologies,such as artificial intelligence,big data,the Internet of Things,and cloud computing,play an important role.This paper reviews past developments and current challenges,offering future perspectives for horticultural chain management.We expect that the horticulture industry would benefit from integration with smart technologies.This requires the use of novel solutions to build a new advanced system encompassing smart breeding,smart cultivation,smart transportation,and smart sales.Finally,a new development approach combining precise perception,smart operation,and smart control should be instituted in the horticulture industry.Within 30 years,we expect that the industry will embrace mechanical,automatic,and informational production to transform into a smart industry.展开更多
基金supported by the National Natural Science Foundation of China(52293443,52321005,52230004)the Natural Science Foundation of Guangdong Basic and Applied Basic Research Foundation(2024A1515010085)+1 种基金Shenzhen Science and Technology Program(GXWD20231127195344001 and JCYJ20241202123735045)Shenzhen Overseas High-level Talents Research Startup Program(20200518750C).
文摘Biological contaminants(BCs),including but not limited to various pathogens and their endogenous pol-lutants such as intracellular pathogens and antimicrobial resistance genes(ARGs),are ubiquitously detected in effluent of wastewater and drinking water treatment systems which were originally designed to remove common indicator bacteria,resulting in potential impacts on public health.Although there are many emerging technologies that showing promising antimicrobial effects,few have progressed to the actual water scenarios.It’s crucial to understand the main knowledge gaps and thereby design the future developments to better meet engineering requirements.In this review,we first summarize the perfor-mance of conventional water treatment towards BCs removal.Then we showcase the advances of proof-of-concept strategies,including nanotechnology,advanced oxidation process,biological control process and integrated techniques,for BCs control in light of antimicrobial mechanisms,characteristics,proper niches in water treatment,challenges and latest improvements.Further,we proposed a semi-quantitative framework coupling life cycle assessment(LCA)and analytic hierarchy process(AHP)to assess and compare the application potential of representative pilot technologies,in which the antimicro-bial effects,economic issues and sustainability are comprehensively considered.For wastewater treat-ment,non-thermal plasma weights highest among the emerging technologies and outperforms conventional disinfection in terms of efficacy indicators(overall inactivation rate,ARGs removal rate,and growth inhibition),but fall behind overall mainly due to more energy input.Bacteriophage-based treatment has the potential to synergistically inactive the persistent pathogens in combination with con-ventional disinfection,serving as a cost-effective and environmental-friendly supplement.For drinking water treatment,the integrated photocatalytic nanocomposite receives the highest application potential among the emerging technologies and appears to be supplementary or even alternative next-generation disinfectants.This review shares valuable insights to propel the proof-of-concept antimicrobial trials towards industrial procedures.
文摘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 might remain with the highest and unacceptable maternal and under-five mortality rates globally.The study proposes feasible emerging technologies that can be used to provide data-driven healthcare for MNCH in SSA,and the recommendations on how to make the transition successful as well as the lessons learn from other regions.
文摘Three years ago,ZTE Communications published a special issue called Emerging Technologies of Multimedia Coding,Analysis and Transmission.Over the past three years,great advances have been made in multimedia.The purpose of this special issue is to report on the progress and
文摘This article will analyze importance of emergent technologies as drivers for developing organizational innovation competencies. The relevance of this research is based on the approach to emergent technologies articulating them with the competencies development models and organizational innovation theories. To formulate the research problem, two analytical dimensions were considered： emergent technologies and organizational innovation competencies anchored to the following research question： What are the organizational innovation competencies that rise from emergent technologies adoption by companies？ Based on the literature review of prospective studies conducted in economic clusters in Portugal, the organizational innovation competencies that raised from the adoption of emerging technologies were investigated and identified： internet, mobile technologies, artificial intelligence, big data, robotics, and nanotechnologies. The methodology used was document analysis, based on the prospective sectorial studies on Portuguese industry.
基金The 2023 Guangdong Provincial Education Department Scientific Research Cultivation Project“Research on the Role of Informatization in Promoting the Professional Development of Teachers in Northeast Guangdong Province”(Project number:2023-SKPY01)。
文摘With the rapid advancements in technology,especially in digitalization and intelligence,numerous modern technologies have poured into rural schools,effectively improving their informatization conditions.Nevertheless,these technologies remain detached from rural teachers,failing to significantly enhance the quality of education and teaching in rural areas.Rural education is a crucial aspect of ensuring balanced development in education.The question of how to enhance rural teachers’technological application abilities and fully leverage the positive role of technology in rural education and teaching has become a significant topic of current research on rural education issues.To better address this question,this study conducted a thorough examination of the specific appeals of rural teachers in the process of technology enablement.It was discovered that rural teachers generally face dilemmas such as insufficient technological application abilities,difficulties in obtaining quality teaching resources,and the lack of continuous technical support and update mechanisms.Based on these findings,specific pathways such as strengthening rural teacher training,optimizing the allocation of educational resources,and establishing mechanisms for continuous technical support and updates are proposed to aid in the high-quality development of rural education.
基金Wesley Leeroy (International Baccalaureate Program, Richard Montgomery HS, Maryland, USA) for his research assistance in preparing data and coding Gradient Decent algorithm。
文摘This study aims to investigate the influence of emerging technology adoption on tax compliance, encompassing both the Internal Revenue Service’s (IRS) compliance audits and taxpayers’ compliance performance (collectively, tax compliance). We employed the Gradient Descent optimization algorithm, an artificial intelligence (AI) technology application, to scrutinize the connection between the quality of US tax filings and the development of emerging technology, among other contributing factors. Additionally, we utilized multiple linear regression to evaluate the relationships between dependent variables, specifically IRS audit rates and the no-change rate at different income levels,1 and several independent variables, including a proxy for emerging technology in the form of tax software. Our findings reveal that while emerging technology significantly impacts tax compliance within the IRS and taxpayers’ performance, its effects vary across income groups. Notably, emerging technology seems to confer greater advantages to higher-income individuals compared to their lower-income counterparts. These study results hold considerable policy implications for government decision-makers in promoting the adoption of emerging technology among lower-income taxpayers.
文摘Based on the research on emerging technologies and ＂the technology species＂, this thesis tries to find out the homologous relations between emerging technology and new species. The theory of the new biology species in synthetic evolution and the modern genetics is referred in the research. The modes of forming emerging technologies are discussed through some examples of IT evolvement according to modes of the biology speciation. Finally, it is pointed out that the biology species origin theory can analogize continuously the research about the evolvement mode of every emerging technology, and the implications have been bought to enterprises based on the formation conditions of each mode.
文摘The recent years have witnessed unprecedented growth in digital infrastructure,driven by rapid advances in cloud computing,the Internet of Things(IoT),smart cities,healthcare informatics,and industrial automation.While these technologies have improved efficiency and connectivity,they have also created complex vulnerabilities that more sophisticated cyber adversaries can exploit.Cybersecurity is no longer a static domain but a constantly evolving field where threats such as ransomware,advanced persistent threats,and zero-day exploits demand adaptive,intelligent,and proactive responses.Emergent technologies such as artificial intelligence(AI),deep learning,distributed architectures,chaos theory,and post-quantum cryptography are transforming the way we conceptualise and implement information security.These approaches offer not only enhanced accuracy and robustness but also scalability,adaptability,and resilience across diverse,resource-limited environments.Consequently,the goal of this Special Issue on Emerging Technologies in Information Security is to compile innovative contributions that advance the boundaries of theory and practice in this swiftly evolving field.
基金supported by[National Natural Science Foundation of China]under Grant[52300092][Fundamental Research Funds for the Central Universities]under Grant[30923010919][Irish Research Council Postdoctoral Research Fellowship]under Grant[GOIPD/2019/1136].
文摘The pollution caused by veterinary antibiotics(VAs)has become a global concern due to their role in promoting antimicrobial resistance in the environment.Animal manure,often referred to as animal slurry,contains substantial amounts of VAs originating from animal urine and feces.Since animal manure is commonly used as a nutrient-rich fertilizer,understanding the degradation of VAs and ensuring their efficient removal are essential for effective manure management.This article critically reviews the emerging technologies effective in VA removal,such as adsorption,membrane separation,advanced oxidation processes,carbonization,and bioelectrochemical systems.While these technologies have been extensively studied for their ability to remove pharmaceuticals from common water and wastewater,their applicability to real manure treatment remains insufficiently explored.This article outlines the challenges associated with each technology,particularly concerning the complex compo-sition of animal manure.It highlights the potential of these technologies as supplementary or post-treatment options to improve VA removal,particularly during periods of high VA usage for therapeu-tic purposes.Finally,the article offers several recommendations,including advancements in animal manure collection,the importance of VA removal to mitigate antimicrobial resistance,and the potential for integrating multiple technologies to optimize VA removal.
文摘Future financing has the potential to evolve into a forward-looking and ingenious system that can enrich diverse technologies.This investigation focuses on five attractive emerging technologies tied to the finance,namely artificial intelligence(AI),machine learning,blockchain,augmented reality(AR)/virtual reality(VR),and quantum mechanics.Within the financial milieu,there is an ongoing pursuit for more precise,optimized,secure,and agile solutions capable of managing multifarious financial undertakings.Emerging technologies present remarkable modalities for achieving these objectives.This scholarly exposition expounds upon the creation of emerging technologies within the financial world,while concurrently deliberating upon the prospective applications of these technologies within financial systems.Given the nascent stage of development that characterizes these emerging technologies,the advancement of financial performance emerges as a substantial challenge owing to both technological and operational advantages.Technology-oriented financing has emerged as an essential trajectory for shaping the future of finance.
基金supported by the National Natural Science Foundation of China(Grant No.72222012,72234003,72174084,and 72488101)Jiangsu Natural Science Foundation,China(No.BK20220125).
文摘Natural disasters have increasingly disrupted and devastated economic and social systems worldwide.Emerging technologies,such as artificial intelligence and machine learning have demonstrated significant potential for enhancing natural disaster risk management(DRM).However,existing studies predominantly emphasize practical technological applications,focusing narrowly on specific use cases.Only a limited number of conceptual frameworks have been proposed,each grounded in distinct thematic perspectives,such as principle-technology integration,life-cycle application,or operational reliability.Critically,there remains a notable gap regarding a comprehensive framework that systematically addresses data challenges inherent in DRM.This paper proposes a data-governance-oriented conceptual framework that classifies three major data challenges—insufficient data,poor data quality,and limited application,across both objective and subjective dimensions of risk management.By integrating practical case studies,the framework illustrates how emerging technologies can systematically mitigate these challenges.Furthermore,this paper identifies new data-related risks introduced by emerging technologies.By offering a closed-loop structure that aligns internal data governance with evolving DRM needs,this work contributes novel and actionable approaches to guiding the integration of emerging technologies into disaster risk management practice.
文摘With the rapid development of science and technology,new sensing technology has been used increasingly in mechatronics system,for the system of intelligent,automation and efficiency,provide strong support.Emerging sensor technology in electromechanical integration system of innovative applications not only promote the system of intelligent upgrade,also for its wide application in the field of multiple provides a strong support,and along with the advance of technology and application scenario development,emerging sensor technology in electromechanical integration system to play a more important role.In this regard,this paper first expounds the overview of emerging sensing technology,then analyzes the innovation and integration of emerging sensing technology and mechatronics system,and finally further explores the practical application of emerging sensing technology in mechatronics system,in order to provide some reference for relevant researchers.
文摘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 appropriate legal and e-health policies,standardization and synchronization of protocols,improving stakeholders'engagement and involvement and establishment of private and public partnerships and investments.
基金This work was supported by NSFC(22006036,U2167218)Beijing Outstanding Young Scientist Program.
文摘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.
文摘The general features and the emerging technologies of liquid crystal displays are described from the viewpoints of wide viewing and fast response technologies. The device applications of liquid crystals for optical communications are also described.
文摘Modern cardiopulmonary resuscitation(CPR)has been established for more than 60 years;however,its success rate remains low.Currently,the global incidence of out-of-hospital cardiac arrest(OHCA)is rising,ranging from 52.5 to 97.1 per 100,000 population.[1,2]Survival-to-discharge rates for OHCA and in-hospital cardiac arrest(IHCA)are not satisfactory,with ranges of 1.2%-9.9%and 9.1%-19.1%,respectively.
基金supported by the ANR project DIPMEM under Grant No.ANR-12-NANO-0010-04
文摘Low power consumption is a major issue in nowadays electronics systems. This trend is pushed by the development of data center related to cloud services and soon to the Internet of Things （IoT） deployment. Memories are one of the major contributors to power consumption. However, the development of emerging memory technologies paves the way to low-power design, through the partial replacement of the dynamic random access memory （DRAM） with the non-volatile stand-alone memory in servers or with the embedded or distributed emerging non-volatile memory in IoT objects. In the latter case, non-volatile flip-flops （NVFFs） seem a promising candidate to replace the retention latch. Indeed, IoT objects present long sleep time and NVFFs offer to save data in registers with zero power when the application is idle. This paper gives an overview of NVFF architecture flavors for various emerging memory technologies.
文摘It is obvious that in the next ten years,lithium ion batteries are still the dominating power source for a wide range of products including consumable electronics,vehicles(cars,motorbikes,scooters,buses),drones,and even robots and tanks.However,in the pursuit of cost-effective,safety-reliable,and highly efficient energy storage technologies,researchers are developing
基金supported by the National Natural Science Foundation of China(Project No.22342011).
文摘Purpose:Nanomedicine has significant potential to revolutionize biomedicine and healthcare through innovations in diagnostics,therapeutics,and regenerative medicine.This study aims to develop a novel framework that integrates advanced natural language processing,noise-free topic modeling,and multidimensional bibliometrics to systematically identify emerging nanomedicine technology topics from scientific literature.Design/methodology/approach:The framework involves collecting full-text articles from PubMed Central and nanomedicine-related metrics from the Web of Science for the period 2013-2023.A fine-tuned BERT model is employed to extract key informative sentences.Noiseless Latent Dirichlet Allocation(NLDA)is applied to model interpretable topics from the cleaned corpus.Additionally,we develop and apply metrics for novelty,innovation,growth,impact,and intensity to quantify the emergence of novel technological topics.Findings:By applying this methodology to nanomedical publications,we identify an increasing emphasis on research aligned with global health priorities,particularly inflammation and biomaterial interactions in disease research.This methodology provides deeper insights through full-text analysis and leading to a more robust discovery of emerging technologies.Research limitations:One limitation of this study is its reliance on the existing scientific literature,which may introduce publication biases and language constraints.Additionally,manual annotation of the dataset,while thorough,is subject to subjectivity and can be time-consuming.Future research could address these limitations by incorporating more diverse data sources,and automating the annotation process.Practical implications:The methodology presented can be adapted to explore emerging technologies in other scientific domains.It allows for tailored assessment criteria based on specific contexts and objectives,enabling more precise analysis and decision-making in various fields.Originality/value:This study offers a comprehensive framework for identifying emerging technologies in nanomedicine,combining theoretical insights and practical applications.Its potential for adaptation across scientific disciplines enhances its value for future research and decision-making in technology discovery.
基金funded by the Science and Technology Plan Projects of Tibetan Autonomous Region(Grant No.XZ202201JX0001N)Hubei Provincial Key Research and Development Program(Grant No.2021BBA239)+2 种基金the Huazhong Agricultural University/Agricultural Genomics Institute of Shenzhen Chinese Academy of Agricultural Sciences Cooperation Fund(Grant No.SZYJY2022006)the Fundamental Research Funds for the Central Universities(Grant Nos.2662022YLYJ010 and BC2022111)Shannan City Science and Technology Plan Project(Grant No.SNSBJKJJHXM2023004)。
文摘Horticultural products such as fruits,vegetables,and tea offer a range of important nutrients such as protein,carbohydrates,vitamins and lipids.However,the present yield and quality do not meet the requirements of the rapid population growth associated with global climate change,the decline in horticultural practitioners,poor automation,and epidemic diseases such as COVID-19.In this context,smart horticulture is expected to greatly improve the land output rates,resource-use efficiency,and productivity,all of which should facilitate the sustainable development of the horticulture industry.Emerging technologies,such as artificial intelligence,big data,the Internet of Things,and cloud computing,play an important role.This paper reviews past developments and current challenges,offering future perspectives for horticultural chain management.We expect that the horticulture industry would benefit from integration with smart technologies.This requires the use of novel solutions to build a new advanced system encompassing smart breeding,smart cultivation,smart transportation,and smart sales.Finally,a new development approach combining precise perception,smart operation,and smart control should be instituted in the horticulture industry.Within 30 years,we expect that the industry will embrace mechanical,automatic,and informational production to transform into a smart industry.
