Objective:To systematically investigate the research status,research hotspots,and developmental trends of robotic techniques in stroke rehabilitation through bibliometric and visualization analysis.Methods:Literature ...Objective:To systematically investigate the research status,research hotspots,and developmental trends of robotic techniques in stroke rehabilitation through bibliometric and visualization analysis.Methods:Literature published in the Web of Science from 2004 to 2024 were screened.VOSviewer,CiteSpace,R Software,Microsoft Office Excel 2021,and“bibliometric.com”were employed to conduct bibliometric analysis and network visualization.Results:A total of 3,704 documents were retrieved.Northwestern University was the most productive institution.Krebs Hermano Igo was the most prolific author.The Journal of NeuroEngineering and Rehabilitation had the highest publication volume.The United States currently holds a leading position in various aspects,including the overall volume of publications,institutional contributions,author output,and funding support.Keywords such as“deep learning”“physical human-robot interaction”“wearable robotics”“mirror therapy”“telerehabilitation”“soft robotics”“augmented reality”“functional near-infrared spectroscopy,”and“impedance control”highlight the current research hotspots and frontiers.Conclusion:Rehabilitation robotics is a field with vigorous growth,progressively advancing toward intelligent,personalized,accessible,and efficient rehabilitation solutions with substantial future potential.展开更多
Objective To explore potential keywords,research clusters,collaborative pattern,and research trends in the field of medical technology management(MTM)through bibliometric analysis,providing insights for researchers,po...Objective To explore potential keywords,research clusters,collaborative pattern,and research trends in the field of medical technology management(MTM)through bibliometric analysis,providing insights for researchers,policy makers,and hospital administrators.Methods A retrieval formula was applied to the title,abstract,and keywords in the Web of Science(WoS)Core Collection,along with system-recommended terms,to identify articles on MTM.A total of 181 articles published between 1974 and 2022 were retained for quantitative analysis.The global trend of research output;total citations,average citations,and H-index;and bibliographic coupling,co-authorship,and keyword co-occurrence were analyzed using VOSviewer.Results The number of articles on MTM has been steadily increasing year by year.The focus of research has shifted from addressing basic medical needs to prioritizing emergency response and medical information security.The United States,Italy,and the United Kingdom emerged as the main contributors,with the United States leading in both volume of publications(60 articles)and academic impact(H-index=21).Authors from the United Kingdom and the United States led the way in cross-border cooperation.The top five institutions,ranked by total link strength among cross-institutional authors,were primarily located in Canada and Spain.Conclusions The field of MTM has experienced stable growth over the past three decades(1993-2022).The shift of research focus has prompted a heightened emphasis on protecting patient privacy and ensuring the security of medical data.Future research should emphasize interdisciplinary and professional collaboration,as well as international cooperation and open sharing of knowledge.展开更多
Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content,single teaching method,and limited practical links.In response,this paper explor...Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content,single teaching method,and limited practical links.In response,this paper explores in depth the significance and strategies of applying AI technology in the teaching of the course.The aim is to enhance students’ability to understand and apply knowledge,and to cultivate well-qualified technical professionals who can adapt to the intelligent development needs of the power industry.The proposed strategies include building an intelligent learning diagnosis platform,providing personalized learning guidance,developing an AI-integrated curriculum system,fostering a“dual-qualified and interdisciplinary”teaching team,and establishing a diversified assessment and evaluation system.展开更多
With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis o...With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences.This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms,including the technical methods of data collection,storage,processing and analysis,as well as the specific applications in the construction of user profiles,precision marketing,personalized recommendation,user retention and churn analysis,etc.,and discusses the challenges and countermeasures faced in the application.Through the study of actual cases,it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.展开更多
Nonflame combustion technology （NFCT） is a harmonious energy utilization technology. There are not environmental-unfriendly gases such as NOx, CO2 discharged in the whole combustion process. Combustion processes rea...Nonflame combustion technology （NFCT） is a harmonious energy utilization technology. There are not environmental-unfriendly gases such as NOx, CO2 discharged in the whole combustion process. Combustion processes realizes zero emission through this technology. Fe2O3 is involved as oxygen carrier, is examined thermodynamically, and the thermodynamic data of the redox reactions are calculated. Using the criteria of minimizing the Gibbs free energy, the equilibrium composition was investigated. The equilibrium analysis shows that producing complete oxidized resultants must have high molar ratio of Fe2O3/CH4. If quantity of Fe2O3 is not sufficient, more partial oxidized products such as CO, H2, even C will be produced.展开更多
Li transient concentration distribution in spherical active material particles can affect the maximum power density and the safe operating regime of the electric vehicles(EVs). On one hand, the quasiexact/exact soluti...Li transient concentration distribution in spherical active material particles can affect the maximum power density and the safe operating regime of the electric vehicles(EVs). On one hand, the quasiexact/exact solution obtained in the time/frequency domain is time-consuming and just as a reference value for approximate solutions;on the other hand, calculation errors and application range of approximate solutions not only rely on approximate algorithms but also on discharge modes. For the purpose to track the transient dynamics for Li solid-phase diffusion in spherical active particles with a tolerable error range and for a wide applicable range, it is necessary to choose optimal approximate algorithms in terms of discharge modes and the nature of active material particles. In this study, approximation methods,such as diffusion length method, polynomial profile approximation method, Padé approximation method,pseudo steady state method, eigenfunction-based Galerkin collocation method, and separation of variables method for solving Li solid-phase diffusion in spherical active particles are compared from calculation fundamentals to algorithm implementation. Furthermore, these approximate solutions are quantitatively compared to the quasi-exact/exact solution in the time/frequency domain under typical discharge modes, i.e., start-up, slow-down, and speed-up. The results obtained from the viewpoint of time-frequency analysis offer a theoretical foundation on how to track Li transient concentration profile in spherical active particles with a high precision and for a wide application range. In turn, optimal solutions of Li solid diffusion equations for spherical active particles can improve the reliability in predicting safe operating regime and estimating maximum power for automotive batteries.展开更多
A novel method of Doppler frequency extraction is proposed for Doppler radar scoring systems. The idea is that the time-frequency map can show how the Doppler frequency varies along the time-line, so the Doppler frequ...A novel method of Doppler frequency extraction is proposed for Doppler radar scoring systems. The idea is that the time-frequency map can show how the Doppler frequency varies along the time-line, so the Doppler frequency extraction becomes curve detection in the image-view. A set of morphological operations are used to implement curve detection. And a map fusion scheme is presented to eliminate the influence of strong direct current （DC） component of echo signal during curve detection. The radar real-life data are used to illustrate the performance of the new approach. Experimental results show that the proposed method can overcome the shortcomings of piecewise-processing-based FFT method and can improve the measuring precision of miss distance.展开更多
In this study,data envelopment analysis is used to measure the tourism efficiency of 31 regions in China according to the panel data from the year 2000 to 2010.The conclusion shows that the efficiency of tourism indus...In this study,data envelopment analysis is used to measure the tourism efficiency of 31 regions in China according to the panel data from the year 2000 to 2010.The conclusion shows that the efficiency of tourism industry is on the rise as a whole,while the diversity of every region becomes more and more apparent.High efficiency appears in east regions like Beijing,Tianjin and Shanghai where the economy is developed,and regions like Jilin,Sichuan and Gansu in the midland and west show low efficiency.展开更多
Oviductus Ranae is the dried oviduct of female Rana tem-poraria chensinensis （David）, distributed mainly in North- eastern China. Oviductus Ranae is one of the best-known and highly valued oriental foods and medicin...Oviductus Ranae is the dried oviduct of female Rana tem-poraria chensinensis （David）, distributed mainly in North- eastern China. Oviductus Ranae is one of the best-known and highly valued oriental foods and medicines. Traditional Chinese medicine holds that Oviductus Ranae can nourish yin, moisten lung and replenish the kidney essence. Meanwhile, activities of Oviductus Ranae such as anti-aging, anti-lipemic, anti-oxidation and anti-fatigue have also been demonstrated by modern phar-macological studies. Previous studies have shown that Oviductus Ranae is mainly composed of proteins, which are up to 50% or more.展开更多
Multi-radar signal separation is a critical process in modern reconnaissance systems. However, the complicated battlefield is typically confronted with increasing electronic equipment and complex radar waveforms. The ...Multi-radar signal separation is a critical process in modern reconnaissance systems. However, the complicated battlefield is typically confronted with increasing electronic equipment and complex radar waveforms. The intercepted signal is difficult to separate with conventional parameters because of severe overlapping in both time and frequency domains. On the contrary, time-frequency analysis maps the 1D signal into a 2D time-frequency plane, which provides a better insight into the signal than traditional methods. Particularly, the parameterized time-frequency analysis (PTFA) shows great potential in processing such non stationary signals. Five procedures for the PTFA are proposed to separate the overlapped multi-radar signal, including initiation, instantaneous frequency estimation with PTFA, signal demodulation, signal separation with adaptive filter and signal recovery. The proposed method is verified with both simulated and real signals, which shows good performance in the application on multi-radar signal separation.展开更多
The conventional linear time-frequency analysis method cannot achieve high resolution and energy focusing in the time and frequency dimensions at the same time,especially in the low frequency region.In order to improv...The conventional linear time-frequency analysis method cannot achieve high resolution and energy focusing in the time and frequency dimensions at the same time,especially in the low frequency region.In order to improve the resolution of the linear time-frequency analysis method in the low-frequency region,we have proposed a W transform method,in which the instantaneous frequency is introduced as a parameter into the linear transformation,and the analysis time window is constructed which matches the instantaneous frequency of the seismic data.In this paper,the W transform method is compared with the Wigner-Ville distribution(WVD),a typical nonlinear time-frequency analysis method.The WVD method that shows the energy distribution in the time-frequency domain clearly indicates the gravitational center of time and the gravitational center of frequency of a wavelet,while the time-frequency spectrum of the W transform also has a clear gravitational center of energy focusing,because the instantaneous frequency corresponding to any time position is introduced as the transformation parameter.Therefore,the W transform can be benchmarked directly by the WVD method.We summarize the development of the W transform and three improved methods in recent years,and elaborate on the evolution of the standard W transform,the chirp-modulated W transform,the fractional-order W transform,and the linear canonical W transform.Through three application examples of W transform in fluvial sand body identification and reservoir prediction,it is verified that W transform can improve the resolution and energy focusing of time-frequency spectra.展开更多
In order to forecast promising technologies in the field of next generation mobile communication, various patent indicators were analyzed such as citation per patent, patent family information, patent share, increase ...In order to forecast promising technologies in the field of next generation mobile communication, various patent indicators were analyzed such as citation per patent, patent family information, patent share, increase rate, and patent activity. These indicators were quantified into several indexes and then integrated into an evaluation score to provide promising technologies. As a result of the suggested patent analysis, four technologies out of twenty two in details classification were selected, which showed outstanding technology competitiveness, high patent share and increasing rates as well as high recent-patent-ratios and triad-patent-family-ratios. Each of the selected technologies scored more than 10 points in total, and the following four technologies were suggested as promising ones in the field of next generation mobile communication: 1) 3GPP based mobile communication, 2) beyond 4G mobile communication, 3) IEEE 802.16 based mobile communication, which are in medium classification of broadband mobile communication system, and 4) testing/certification system of mobile communication, which is in medium classification of mobile communication testing/certification system.展开更多
Objective:The objective of this study is to explore the current situation,clinical research hot spots,and trends of traditional Chinese medicine(TCM)nursing technology in rheumatoid arthritis(RA),to draw a panorama of...Objective:The objective of this study is to explore the current situation,clinical research hot spots,and trends of traditional Chinese medicine(TCM)nursing technology in rheumatoid arthritis(RA),to draw a panorama of clinical research,to provide the basis and clues for subsequent high-level evidence integration and further in-depth research.Materials and Methods:Seven databases including China National Knowledge Infrastructure,Chinese Scientific Journal Database(VIP),Wanfang Database,Chinese Biomedical Literature Database(Sino-Med),PubMed,Embase,and the Cochrane Library were searched.The bibliometric method and visualization software CiteSpace were used to conduct a multi-dimensional analysis of the included literature.Results:A total of 805 pieces of literature were included(of them,one was written in German and four in English),and the number of published literature showed an increasing trend year by year.There were only 30(3.73%)pieces of literature published in nursing journals.The hot spots of the co-occurrence map were concentrated in:(1)the nursing of fumigation in RA;(2)the efficacy evaluation of TCM nursing technology on pain,joint malformation,and joint dysfunction caused by RA.The included literature themes focused on five TCM technologies:fumigation,moxibustion,acupoint patching,acupoint injection,and Chinese herbal soaking.The beginning year and strength in TCM fumigation were 2012 and 5.2,and those in moxibustion were 2011 and 3.38.Conclusion:The related studies are on the rise.It has entered the field of international readers with clear research hot spots.However,there are still shortcomings such as little literature published in Chinese nursing core journals,few non-Chinese-related documents,and a lack of international exchanges and cooperation.The current research hot spots in this field are TCM fumigation,and the cutting-edge trend of future research may be fumigation and moxibustion technology.It is suggested that further research can focus on evidence integration and original research on the self-optimization of these two techniques.展开更多
The objectives of this article are as follows: 1) to propose a university research ethics system framework, 2) to provide a brief anatomy of the Meru University of Science and Technology (MUST) Institutional Research ...The objectives of this article are as follows: 1) to propose a university research ethics system framework, 2) to provide a brief anatomy of the Meru University of Science and Technology (MUST) Institutional Research Ethics Review Committee (MIRERC), 3) to perform a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis of MIRERC, and 4) to make recommendations for improving its performance. The 13-member multi-disciplinary MIRERC was established in April 2017 to provide effective ethical oversight of research undertaken by the University’s scholarly community. Strengths of the MUST research ethics review system include a functional MIRERC, a pertinent national law and ethical guidelines, an Innovation and Enterprise Centre that could house a dedicated MIRERC Secretariat, and a supportive University Management Board. The weaknesses include lack of graduate schools to assure scientific rigor of proposals before submission to the MIRERC, lack of research ethics training in most school’s curricula, absence of a dedicated MIRERC Secretariat, undergraduate research proposals being not ethically reviewed, dearth of faculty trained in research ethics, and lack of an operating budget for MIRERC work. The opportunities include existence of about 22 accredited Institutional Research Ethics Review Committees (IRERC) in Kenya, existence of international standards and operational guidance for ethics review, availability of guidelines and codes of best ethical practices in research, existence of a free automated platform called Research for Health Innovation Organizer (RHInnO) Ethics for managing the ethics review process, and availability of external resources for strengthening IRERCs. In order to improve the performance and sustainability of the MUST research ethics system, there is need to include research ethics training in all undergraduate and post-graduate curricula, create a dynamic database of potential research ethics reviewers, allocate a percentage of the annual MUST research budget for MIRERC operations, charge a graduated fee for proposal ethics review, require all students’ and faculties’ internal and external research proposals be cleared by the MIRERC, and use the RHInnO Ethics platform to manage the ethics review process.展开更多
Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object(SAO) structures.Design/methodology/approach: First, SAO structures were extracted fro...Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object(SAO) structures.Design/methodology/approach: First, SAO structures were extracted from patent documents and were cleaned. Second, several dimension-reduction techniques were used to generate technology topics. Then, the hierarchical relationships between technology topics were calculated based on patent clustering. Finally, technology evolution maps were drawn by adding a timeline.Findings: This approach can reveal technology evolution processes from multiple perspectives than other approaches.Research limitations: The semantic annotation of an SAO type is not very accurate and the semantic types of technology topics need to be enriched.Practical implications: The approach can be applied to draw technology evolution maps using different types of technology topics such as problem or solution.Originality/value: This approach offers an analytical dimension and more details than existing techniques, and it helps identify fundamental and emerging technologies more accurately and comprehensively.展开更多
Focused on the non-statlonarity and real-time analysis of signal in flutter test with progression variable speed （FTPVS）, a new method of recursive time-frequency analysis is presented. The time-varying system is tr...Focused on the non-statlonarity and real-time analysis of signal in flutter test with progression variable speed （FTPVS）, a new method of recursive time-frequency analysis is presented. The time-varying system is tracked on-line by building a time-varying parameter model, and then the relevant parameter spectrum can be obtained. The feasibility and advantages of the method are examined by digital simulation. The results of FTPVS at low-speed wind-tunnel promise the engineering application perspective of the method.展开更多
At present, microelectro mechanical systems (MEMS) sensors have gradually replaced traditional mechanical sensors and are applied to several fields. Many developed countries pay high attention to technological innovat...At present, microelectro mechanical systems (MEMS) sensors have gradually replaced traditional mechanical sensors and are applied to several fields. Many developed countries pay high attention to technological innovation of MEMS sensors, and have applied a large number of patents since 2000. In this study, the patents of MEMS sensor from 2000 to 2015 are researched, the patents data is collected from Derwent Innovation Index (DII), and the method of co-classification analysis is used to investigate the technology cluster evolution of MEMS sensors. Results show that the technology diffusion occurrs in each technical field and the technology relevance between different technical fields is changed over time. On the whole, the evolution process of MEMS sensor is the manufacture and material of sensor chip, the electronic components and measuring function, the computing and control technology, and applications to biochemical field and communication.展开更多
The pollution situation of different underlying surface and the change rule of each water quality index were researched,on the basis of rainwater quality monitoring by different approaches in a university campus. The ...The pollution situation of different underlying surface and the change rule of each water quality index were researched,on the basis of rainwater quality monitoring by different approaches in a university campus. The results showed that due to some factors,such as the underlying surface material pollution,road materials,road surface pollution condition and surrounding atmospheric environment quality,the pollution of different underlying surface rainwater would be different. Main pollutants of rainwater runoff in the city campus area were such as COD,SS,NH;-N,TP,etc. Ultimately,along with the increase of accumulated rainfall,the pollutants tended to gradually decrease. The road rain pollution was more serious than roof runoff pollution and the early rain pollution was serious,but the late rain water quality was much better. According to the rainwater conditions,subsequent rainwater recycling technology and processing technology were determined as a way to alleviate the problem of water shortage and water pollution.展开更多
This paper proposes the analysis model of sports human body based on computer vision tracking technology. Visual target tracking is an important research field of the computer vision, motion trajectory and it can prov...This paper proposes the analysis model of sports human body based on computer vision tracking technology. Visual target tracking is an important research field of the computer vision, motion trajectory and it can provide not only the goal, to provide the initial data movement analysis, scene understanding, behavior or the event detection in intelligent surveillance, human-computer interaction, robot visual navigation and motion recognition based on field has a broad application prospect. For this reason, it is possible to consider the use of a large number of unlabeled samples to assist the training classifier to improve its performance. This type of machine learning method using both labeled and that unlabeled samples is called the semi-supervised learning. This paper proposes the novel idea of the related research topics to propose the new perspective of the model that will be later give us the novel idea of making it efficient for further development of sport science.展开更多
文摘Objective:To systematically investigate the research status,research hotspots,and developmental trends of robotic techniques in stroke rehabilitation through bibliometric and visualization analysis.Methods:Literature published in the Web of Science from 2004 to 2024 were screened.VOSviewer,CiteSpace,R Software,Microsoft Office Excel 2021,and“bibliometric.com”were employed to conduct bibliometric analysis and network visualization.Results:A total of 3,704 documents were retrieved.Northwestern University was the most productive institution.Krebs Hermano Igo was the most prolific author.The Journal of NeuroEngineering and Rehabilitation had the highest publication volume.The United States currently holds a leading position in various aspects,including the overall volume of publications,institutional contributions,author output,and funding support.Keywords such as“deep learning”“physical human-robot interaction”“wearable robotics”“mirror therapy”“telerehabilitation”“soft robotics”“augmented reality”“functional near-infrared spectroscopy,”and“impedance control”highlight the current research hotspots and frontiers.Conclusion:Rehabilitation robotics is a field with vigorous growth,progressively advancing toward intelligent,personalized,accessible,and efficient rehabilitation solutions with substantial future potential.
文摘Objective To explore potential keywords,research clusters,collaborative pattern,and research trends in the field of medical technology management(MTM)through bibliometric analysis,providing insights for researchers,policy makers,and hospital administrators.Methods A retrieval formula was applied to the title,abstract,and keywords in the Web of Science(WoS)Core Collection,along with system-recommended terms,to identify articles on MTM.A total of 181 articles published between 1974 and 2022 were retained for quantitative analysis.The global trend of research output;total citations,average citations,and H-index;and bibliographic coupling,co-authorship,and keyword co-occurrence were analyzed using VOSviewer.Results The number of articles on MTM has been steadily increasing year by year.The focus of research has shifted from addressing basic medical needs to prioritizing emergency response and medical information security.The United States,Italy,and the United Kingdom emerged as the main contributors,with the United States leading in both volume of publications(60 articles)and academic impact(H-index=21).Authors from the United Kingdom and the United States led the way in cross-border cooperation.The top five institutions,ranked by total link strength among cross-institutional authors,were primarily located in Canada and Spain.Conclusions The field of MTM has experienced stable growth over the past three decades(1993-2022).The shift of research focus has prompted a heightened emphasis on protecting patient privacy and ensuring the security of medical data.Future research should emphasize interdisciplinary and professional collaboration,as well as international cooperation and open sharing of knowledge.
文摘Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content,single teaching method,and limited practical links.In response,this paper explores in depth the significance and strategies of applying AI technology in the teaching of the course.The aim is to enhance students’ability to understand and apply knowledge,and to cultivate well-qualified technical professionals who can adapt to the intelligent development needs of the power industry.The proposed strategies include building an intelligent learning diagnosis platform,providing personalized learning guidance,developing an AI-integrated curriculum system,fostering a“dual-qualified and interdisciplinary”teaching team,and establishing a diversified assessment and evaluation system.
文摘With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences.This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms,including the technical methods of data collection,storage,processing and analysis,as well as the specific applications in the construction of user profiles,precision marketing,personalized recommendation,user retention and churn analysis,etc.,and discusses the challenges and countermeasures faced in the application.Through the study of actual cases,it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.
基金Supported by the National Natural Science Foundation of China (No. 50574046, No. 50164002.) and Science & TechnologyFoundation of Baoshan Iron and Steel Co. Ltd, Natural Science Foundation of Yunnan province (No. 2004E0012Q), High SchoolDoctoral Subject Special Science and Research Foundation of Ministry of Education (NO. 20040674005)
文摘Nonflame combustion technology （NFCT） is a harmonious energy utilization technology. There are not environmental-unfriendly gases such as NOx, CO2 discharged in the whole combustion process. Combustion processes realizes zero emission through this technology. Fe2O3 is involved as oxygen carrier, is examined thermodynamically, and the thermodynamic data of the redox reactions are calculated. Using the criteria of minimizing the Gibbs free energy, the equilibrium composition was investigated. The equilibrium analysis shows that producing complete oxidized resultants must have high molar ratio of Fe2O3/CH4. If quantity of Fe2O3 is not sufficient, more partial oxidized products such as CO, H2, even C will be produced.
基金the financial support from the National Science Foundation of China(22078190 and 12002196)the National Key Research and Development Program of China(2020YFB1505802)。
文摘Li transient concentration distribution in spherical active material particles can affect the maximum power density and the safe operating regime of the electric vehicles(EVs). On one hand, the quasiexact/exact solution obtained in the time/frequency domain is time-consuming and just as a reference value for approximate solutions;on the other hand, calculation errors and application range of approximate solutions not only rely on approximate algorithms but also on discharge modes. For the purpose to track the transient dynamics for Li solid-phase diffusion in spherical active particles with a tolerable error range and for a wide applicable range, it is necessary to choose optimal approximate algorithms in terms of discharge modes and the nature of active material particles. In this study, approximation methods,such as diffusion length method, polynomial profile approximation method, Padé approximation method,pseudo steady state method, eigenfunction-based Galerkin collocation method, and separation of variables method for solving Li solid-phase diffusion in spherical active particles are compared from calculation fundamentals to algorithm implementation. Furthermore, these approximate solutions are quantitatively compared to the quasi-exact/exact solution in the time/frequency domain under typical discharge modes, i.e., start-up, slow-down, and speed-up. The results obtained from the viewpoint of time-frequency analysis offer a theoretical foundation on how to track Li transient concentration profile in spherical active particles with a high precision and for a wide application range. In turn, optimal solutions of Li solid diffusion equations for spherical active particles can improve the reliability in predicting safe operating regime and estimating maximum power for automotive batteries.
基金the Ministerial Level Advanced Research Foundation(020045089)
文摘A novel method of Doppler frequency extraction is proposed for Doppler radar scoring systems. The idea is that the time-frequency map can show how the Doppler frequency varies along the time-line, so the Doppler frequency extraction becomes curve detection in the image-view. A set of morphological operations are used to implement curve detection. And a map fusion scheme is presented to eliminate the influence of strong direct current （DC） component of echo signal during curve detection. The radar real-life data are used to illustrate the performance of the new approach. Experimental results show that the proposed method can overcome the shortcomings of piecewise-processing-based FFT method and can improve the measuring precision of miss distance.
文摘In this study,data envelopment analysis is used to measure the tourism efficiency of 31 regions in China according to the panel data from the year 2000 to 2010.The conclusion shows that the efficiency of tourism industry is on the rise as a whole,while the diversity of every region becomes more and more apparent.High efficiency appears in east regions like Beijing,Tianjin and Shanghai where the economy is developed,and regions like Jilin,Sichuan and Gansu in the midland and west show low efficiency.
基金supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No. 2011BAI03B00)the National Science and Technology Major Project of the Ministry of Science and Technology of China (No. 2011ZX09401-305)
文摘Oviductus Ranae is the dried oviduct of female Rana tem-poraria chensinensis （David）, distributed mainly in North- eastern China. Oviductus Ranae is one of the best-known and highly valued oriental foods and medicines. Traditional Chinese medicine holds that Oviductus Ranae can nourish yin, moisten lung and replenish the kidney essence. Meanwhile, activities of Oviductus Ranae such as anti-aging, anti-lipemic, anti-oxidation and anti-fatigue have also been demonstrated by modern phar-macological studies. Previous studies have shown that Oviductus Ranae is mainly composed of proteins, which are up to 50% or more.
文摘Multi-radar signal separation is a critical process in modern reconnaissance systems. However, the complicated battlefield is typically confronted with increasing electronic equipment and complex radar waveforms. The intercepted signal is difficult to separate with conventional parameters because of severe overlapping in both time and frequency domains. On the contrary, time-frequency analysis maps the 1D signal into a 2D time-frequency plane, which provides a better insight into the signal than traditional methods. Particularly, the parameterized time-frequency analysis (PTFA) shows great potential in processing such non stationary signals. Five procedures for the PTFA are proposed to separate the overlapped multi-radar signal, including initiation, instantaneous frequency estimation with PTFA, signal demodulation, signal separation with adaptive filter and signal recovery. The proposed method is verified with both simulated and real signals, which shows good performance in the application on multi-radar signal separation.
基金Supported by the National Science Foundation of China(42055402)。
文摘The conventional linear time-frequency analysis method cannot achieve high resolution and energy focusing in the time and frequency dimensions at the same time,especially in the low frequency region.In order to improve the resolution of the linear time-frequency analysis method in the low-frequency region,we have proposed a W transform method,in which the instantaneous frequency is introduced as a parameter into the linear transformation,and the analysis time window is constructed which matches the instantaneous frequency of the seismic data.In this paper,the W transform method is compared with the Wigner-Ville distribution(WVD),a typical nonlinear time-frequency analysis method.The WVD method that shows the energy distribution in the time-frequency domain clearly indicates the gravitational center of time and the gravitational center of frequency of a wavelet,while the time-frequency spectrum of the W transform also has a clear gravitational center of energy focusing,because the instantaneous frequency corresponding to any time position is introduced as the transformation parameter.Therefore,the W transform can be benchmarked directly by the WVD method.We summarize the development of the W transform and three improved methods in recent years,and elaborate on the evolution of the standard W transform,the chirp-modulated W transform,the fractional-order W transform,and the linear canonical W transform.Through three application examples of W transform in fluvial sand body identification and reservoir prediction,it is verified that W transform can improve the resolution and energy focusing of time-frequency spectra.
文摘In order to forecast promising technologies in the field of next generation mobile communication, various patent indicators were analyzed such as citation per patent, patent family information, patent share, increase rate, and patent activity. These indicators were quantified into several indexes and then integrated into an evaluation score to provide promising technologies. As a result of the suggested patent analysis, four technologies out of twenty two in details classification were selected, which showed outstanding technology competitiveness, high patent share and increasing rates as well as high recent-patent-ratios and triad-patent-family-ratios. Each of the selected technologies scored more than 10 points in total, and the following four technologies were suggested as promising ones in the field of next generation mobile communication: 1) 3GPP based mobile communication, 2) beyond 4G mobile communication, 3) IEEE 802.16 based mobile communication, which are in medium classification of broadband mobile communication system, and 4) testing/certification system of mobile communication, which is in medium classification of mobile communication testing/certification system.
基金supported by the Research Project on Medical Education launched by the Medical Education Branch of the Chinese Medical Association and the Medical Education Professional Committee of the Chinese Society of Higher Education in 2018(2018B-N18075)the Education Science Research Project of Beijing University of Chinese Medicine(XJYB2029)the Fundamental Research Funds for the Central Universities(2020-JYB-ZDGG-082).
文摘Objective:The objective of this study is to explore the current situation,clinical research hot spots,and trends of traditional Chinese medicine(TCM)nursing technology in rheumatoid arthritis(RA),to draw a panorama of clinical research,to provide the basis and clues for subsequent high-level evidence integration and further in-depth research.Materials and Methods:Seven databases including China National Knowledge Infrastructure,Chinese Scientific Journal Database(VIP),Wanfang Database,Chinese Biomedical Literature Database(Sino-Med),PubMed,Embase,and the Cochrane Library were searched.The bibliometric method and visualization software CiteSpace were used to conduct a multi-dimensional analysis of the included literature.Results:A total of 805 pieces of literature were included(of them,one was written in German and four in English),and the number of published literature showed an increasing trend year by year.There were only 30(3.73%)pieces of literature published in nursing journals.The hot spots of the co-occurrence map were concentrated in:(1)the nursing of fumigation in RA;(2)the efficacy evaluation of TCM nursing technology on pain,joint malformation,and joint dysfunction caused by RA.The included literature themes focused on five TCM technologies:fumigation,moxibustion,acupoint patching,acupoint injection,and Chinese herbal soaking.The beginning year and strength in TCM fumigation were 2012 and 5.2,and those in moxibustion were 2011 and 3.38.Conclusion:The related studies are on the rise.It has entered the field of international readers with clear research hot spots.However,there are still shortcomings such as little literature published in Chinese nursing core journals,few non-Chinese-related documents,and a lack of international exchanges and cooperation.The current research hot spots in this field are TCM fumigation,and the cutting-edge trend of future research may be fumigation and moxibustion technology.It is suggested that further research can focus on evidence integration and original research on the self-optimization of these two techniques.
文摘The objectives of this article are as follows: 1) to propose a university research ethics system framework, 2) to provide a brief anatomy of the Meru University of Science and Technology (MUST) Institutional Research Ethics Review Committee (MIRERC), 3) to perform a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis of MIRERC, and 4) to make recommendations for improving its performance. The 13-member multi-disciplinary MIRERC was established in April 2017 to provide effective ethical oversight of research undertaken by the University’s scholarly community. Strengths of the MUST research ethics review system include a functional MIRERC, a pertinent national law and ethical guidelines, an Innovation and Enterprise Centre that could house a dedicated MIRERC Secretariat, and a supportive University Management Board. The weaknesses include lack of graduate schools to assure scientific rigor of proposals before submission to the MIRERC, lack of research ethics training in most school’s curricula, absence of a dedicated MIRERC Secretariat, undergraduate research proposals being not ethically reviewed, dearth of faculty trained in research ethics, and lack of an operating budget for MIRERC work. The opportunities include existence of about 22 accredited Institutional Research Ethics Review Committees (IRERC) in Kenya, existence of international standards and operational guidance for ethics review, availability of guidelines and codes of best ethical practices in research, existence of a free automated platform called Research for Health Innovation Organizer (RHInnO) Ethics for managing the ethics review process, and availability of external resources for strengthening IRERCs. In order to improve the performance and sustainability of the MUST research ethics system, there is need to include research ethics training in all undergraduate and post-graduate curricula, create a dynamic database of potential research ethics reviewers, allocate a percentage of the annual MUST research budget for MIRERC operations, charge a graduated fee for proposal ethics review, require all students’ and faculties’ internal and external research proposals be cleared by the MIRERC, and use the RHInnO Ethics platform to manage the ethics review process.
文摘Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object(SAO) structures.Design/methodology/approach: First, SAO structures were extracted from patent documents and were cleaned. Second, several dimension-reduction techniques were used to generate technology topics. Then, the hierarchical relationships between technology topics were calculated based on patent clustering. Finally, technology evolution maps were drawn by adding a timeline.Findings: This approach can reveal technology evolution processes from multiple perspectives than other approaches.Research limitations: The semantic annotation of an SAO type is not very accurate and the semantic types of technology topics need to be enriched.Practical implications: The approach can be applied to draw technology evolution maps using different types of technology topics such as problem or solution.Originality/value: This approach offers an analytical dimension and more details than existing techniques, and it helps identify fundamental and emerging technologies more accurately and comprehensively.
文摘Focused on the non-statlonarity and real-time analysis of signal in flutter test with progression variable speed （FTPVS）, a new method of recursive time-frequency analysis is presented. The time-varying system is tracked on-line by building a time-varying parameter model, and then the relevant parameter spectrum can be obtained. The feasibility and advantages of the method are examined by digital simulation. The results of FTPVS at low-speed wind-tunnel promise the engineering application perspective of the method.
基金Supported by the Scientific Monitoring and Key Areas in-depth Investigation Analysis and Research(No.ZD2017-1)Science and Technology Major Specific Project Core Electronic Elements,High-General Chips and Basic Software(No.2015XM54)
文摘At present, microelectro mechanical systems (MEMS) sensors have gradually replaced traditional mechanical sensors and are applied to several fields. Many developed countries pay high attention to technological innovation of MEMS sensors, and have applied a large number of patents since 2000. In this study, the patents of MEMS sensor from 2000 to 2015 are researched, the patents data is collected from Derwent Innovation Index (DII), and the method of co-classification analysis is used to investigate the technology cluster evolution of MEMS sensors. Results show that the technology diffusion occurrs in each technical field and the technology relevance between different technical fields is changed over time. On the whole, the evolution process of MEMS sensor is the manufacture and material of sensor chip, the electronic components and measuring function, the computing and control technology, and applications to biochemical field and communication.
基金Supported by the"13th Five-year"Science and Technology Research Item of Jilin Education Department(Jijiaokehezi[2016]531)Student's Platform for Innovation and Entrepreneurship Training Program in Jilin Province in 2017(3430)
文摘The pollution situation of different underlying surface and the change rule of each water quality index were researched,on the basis of rainwater quality monitoring by different approaches in a university campus. The results showed that due to some factors,such as the underlying surface material pollution,road materials,road surface pollution condition and surrounding atmospheric environment quality,the pollution of different underlying surface rainwater would be different. Main pollutants of rainwater runoff in the city campus area were such as COD,SS,NH;-N,TP,etc. Ultimately,along with the increase of accumulated rainfall,the pollutants tended to gradually decrease. The road rain pollution was more serious than roof runoff pollution and the early rain pollution was serious,but the late rain water quality was much better. According to the rainwater conditions,subsequent rainwater recycling technology and processing technology were determined as a way to alleviate the problem of water shortage and water pollution.
文摘This paper proposes the analysis model of sports human body based on computer vision tracking technology. Visual target tracking is an important research field of the computer vision, motion trajectory and it can provide not only the goal, to provide the initial data movement analysis, scene understanding, behavior or the event detection in intelligent surveillance, human-computer interaction, robot visual navigation and motion recognition based on field has a broad application prospect. For this reason, it is possible to consider the use of a large number of unlabeled samples to assist the training classifier to improve its performance. This type of machine learning method using both labeled and that unlabeled samples is called the semi-supervised learning. This paper proposes the novel idea of the related research topics to propose the new perspective of the model that will be later give us the novel idea of making it efficient for further development of sport science.
