This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 3:Mouse.This standard was released by the China Associ...This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 3:Mouse.This standard was released by the China Association of Acupuncture and Moxibustion on May 15,2020,implemented on October 31,2020,and published by Standards Press of China.The standard was drafted by the Institute of Acupuncture and Moxibustion,China Academy of Chinese Medical Sciences,and the Nanjing University of Chinese Medicine.Principal draftsmen:Xiang-hong JING and Xing-bang HUA.Participating draftsmen:Wan-zhu BAI,Bin XU,Dong-sheng XU,Yi GUO,Tie-ming MA,Xin-jun WANG,and Sheng-feng LU.展开更多
The intermittent connection（IC）of the field-bus in networked manufacturing systems is a common but hard troubleshooting network problem,which may result in system level failures or safety issues.However,there is no ...The intermittent connection（IC）of the field-bus in networked manufacturing systems is a common but hard troubleshooting network problem,which may result in system level failures or safety issues.However,there is no online IC location identification method available to detect and locate the position of the problem.To tackle this problem,a novel model based online fault location identification method for localized IC problem is proposed.First,the error event patterns are identified and classified according to different node sources in each error frame.Then generalized zero inflated Poisson process（GZIP）model for each node is established by using time stamped error event sequence.Finally,the location of the IC fault is determined by testing whether the parameters of the fitted stochastic model is statistically significant or not using the confident intervals of the estimated parameters.To illustrate the proposed method,case studies are conducted on a 3-node controller area network（CAN）test-bed,in which IC induced faults are imposed on a network drop cable using computer controlled on-off switches.The experimental results show the parameters of the GZIP model for the problematic node are statistically significant（larger than 0）,and the patterns of the confident intervals of the estimated parameters are directly linked to the problematic node,which agrees with the experimental setup.The proposed online IC location identification method can successfully identify the location of the drop cable on which IC faults occurs on the CAN network.展开更多
This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 2:Rat.This standard was released by the China Associat...This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 2:Rat.This standard was released by the China Association of Acupuncture and Moxibustion on May 15,2020,implemented on October 31,2020,and published by Standards Press of China.The standard was drafted by the Institute of Acupuncture and Moxibustion,China Academy of Chinese Medical Sciences,and the Nanjing University of Chinese Medicine.Principal draftsmen:Xiang-hong JING and Xing-bang HUA.Participating draftsmen:Wan-Zhu BAI,Bin XU,Dong-sheng XU,Yi GUO,Tie-ming MA,Xin-jun WANG,and Sheng-feng LU.展开更多
At present, lightning is one of the 10 natural disasters, and it is also the top environmental factor of power interruption. It often causes huge losses to the electric system. The Wuhan High Voltage Institute of the ...At present, lightning is one of the 10 natural disasters, and it is also the top environmental factor of power interruption. It often causes huge losses to the electric system. The Wuhan High Voltage Institute of the State Grid Corporation of China and Huazhong University of Science and Technology have been researching and developing lightning location systems （LLSs） since the late 1980s. In the mid-1990s, a lightning detection network was created in 29 provinces and cities in China. It is primarily applied to rapidly find lightning accidents, which greatly reduces power interruption. Also, it ensures high efficiency and safe operation of the electricity system. Remarkable benefit is achieved. China＇s LLS went through an ＂orientation positioning - time difference positioning - integrated positioning＂ development process. The positioning precision, detection efficiency, degree of automation, practicability and applied range are improved. Also, a lightning information system plan of the national network has been implemented, which services the whole society.展开更多
Unmanned aerial vehicle(UAV)swarm network consisting of a collection of micro UAVs can be used for many applications.It is well established that packet routing is a fundamental problem to achieve UAV collaboration.How...Unmanned aerial vehicle(UAV)swarm network consisting of a collection of micro UAVs can be used for many applications.It is well established that packet routing is a fundamental problem to achieve UAV collaboration.However,the highly dynamic nature of UAVs,frequently changing network topologies and security issues,poses significant challenges to packet forwarding in UAV networks.The existing topology-based routing protocols are not well suited in UAV network due to their high controlling overhead or excessive end-to-end delay.Geographic routing is regarded as a promising solution,as it only requires local information.In order to enhance the accuracy and security of geographic routing in highly dynamic UAV network,in this paper,we propose a new predictive geographic(PGeo)routing strategy with location verification.First,a detection mechanism is adopted to recognize malicious UAVs falsifying their location.Then,an accurate average service time of a packet in the medium access control(MAC)layer is derived to assist location prediction.The proposed delay model can provide a theoretical basis for future work,and our simulation results reveal that PGeo outstrips the existing geographic routing protocols in terms of packet delivery ratio in the presence of location spoofing behavior.展开更多
With the evolution of next-generation communication networks,ensuring robust Core Network(CN)architecture and data security has become paramount.This paper addresses critical vulnerabilities in the architecture of CN ...With the evolution of next-generation communication networks,ensuring robust Core Network(CN)architecture and data security has become paramount.This paper addresses critical vulnerabilities in the architecture of CN and data security by proposing a novel framework based on blockchain technology that is specifically designed for communication networks.Traditional centralized network architectures are vulnerable to Distributed Denial of Service(DDoS)attacks,particularly in roaming scenarios where there is also a risk of private data leakage,which imposes significant operational demands.To address these issues,we introduce the Blockchain-Enhanced Core Network Architecture(BECNA)and the Secure Decentralized Identity Authentication Scheme(SDIDAS).The BECNA utilizes blockchain technology to decentralize data storage,enhancing network security,stability,and reliability by mitigating Single Points of Failure(SPoF).The SDIDAS utilizes Decentralized Identity(DID)technology to secure user identity data and streamline authentication in roaming scenarios,significantly reducing the risk of data breaches during cross-network transmissions.Our framework employs Ethereum,free5GC,Wireshark,and UERANSIM tools to create a robust,tamper-evident system model.A comprehensive security analysis confirms substantial improvements in user privacy and network security.Simulation results indicate that our approach enhances communication CNs security and reliability,while also ensuring data security.展开更多
A novel method is developed by utilizing the fractional frequency based multirange rulers to precisely position the passive inter-modulation(PIM)sources within radio frequency(RF)cables.The proposed method employs a s...A novel method is developed by utilizing the fractional frequency based multirange rulers to precisely position the passive inter-modulation(PIM)sources within radio frequency(RF)cables.The proposed method employs a set of fractional frequencies to create multiple measuring rulers with different metric ranges to determine the values of the tens,ones,tenths,and hundredths digits of the distance.Among these rulers,the one with the lowest frequency determines the maximum metric range,while the one with the highest frequency decides the highest achievable accuracy of the position system.For all rulers,the metric accuracy is uniquely determined by the phase accuracy of the detected PIM signals.With the all-phase Fourier transform method,the phases of the PIM signals at all fractional frequencies maintain almost the same accuracy,approximately 1°(about 1/360 wavelength in the positioning accuracy)at the signal-to-noise ratio(SNR)of 10 d B.Numerical simulations verify the effectiveness of the proposed method,improving the positioning accuracy of the cable PIM up to a millimeter level with the highest fractional frequency operating at 200 MHz.展开更多
This paper discusses the Bible in relation to the history and culture of the Jewish people along with its place in world culture.Through translation and Christianity its influence extended into the development of lite...This paper discusses the Bible in relation to the history and culture of the Jewish people along with its place in world culture.Through translation and Christianity its influence extended into the development of literacy among many of the language’s world.The biblical promise to Abraham continues today in the reemergence of the Jewish people as a sovereign nation in the land of Israel after two millennia of wandering.While Bible stories and poetry,primarily through the Psalms,inspired creativity in the visual arts,literature,and music throughout in the Western world.展开更多
Objective:To analyze the related factors affecting the professional identity of nursing students before and after clinical practice,hoping to provide reference for the career development and education of nursing stude...Objective:To analyze the related factors affecting the professional identity of nursing students before and after clinical practice,hoping to provide reference for the career development and education of nursing students.Methods:A total of 393 undergraduate nursing students of grade 2020 from the Department of Nursing of a university in Shanxi Province were selected.The professional choice motivation,educational attainment expectation,future career planning,professional practice,and employment prospect expectation of nursing students before clinical practice,and the willingness to upgrade educational attainment,professional experience,career development expectation,and employment planning of nursing students after clinical practice were investigated.Through statistical analysis of the survey data,the related influencing factors affecting the professional identity of nursing students before and after clinical practice were explored.Results:The observation of general data showed that the proportion of female students in the survey sample was higher than that of male students,and the proportion of those whose family residence was in rural areas was slightly higher than that in urban areas.The analysis of students’own situation showed that nursing students chose the nursing major because of the high expected employment rate,but they were generally anxious about the employment prospect before the internship,showing a contradictory mentality.The analysis of students’professional ability showed that nursing students believed that their professional ability was mainly reflected in the vocational adaptability.The analysis of the social environment showed that the educational attainment expectations of nursing students were mainly undergraduate and master’s degrees,and they preferred to engage in clinical nursing work rather than nursing research.The analysis on the selection of internship hospitals shows that nursing students’choice of internship hospitals is mainly influenced by the duration of the internship,and they consider the correlation between the selection of internship hospitals and future employment decisions to be low.The analysis on the surrounding environment such as family and school shows that the professional identity of nursing students is mainly influenced by the opinions of school teachers and parents,but the occupations of most of the family members of nursing students are not related to medicine.Conclusion:Targeted intervention strategies should be formulated based on the relevant influencing factors that affect the professional identity of nursing students before and after clinical internship,to enhance the professional identity and employment confidence of nursing students,and promote the healthy and sustainable development of nursing education and the medical service industry.展开更多
Accurate and rapid determination of source locations is of great significance for surface microseismic monitoring.Traditional methods,such as diffraction stacking,are time-consuming and challenging for real-time monit...Accurate and rapid determination of source locations is of great significance for surface microseismic monitoring.Traditional methods,such as diffraction stacking,are time-consuming and challenging for real-time monitoring.In this study,we propose an approach to locate microseismic events using a deep learning algorithm with surface data.A fully convolutional network is designed to predict source locations.The input data is the waveform of a microseismic event,and the output consists of three 1D Gaussian distributions representing the probability distribution of the source location in the x,y,and z dimensions.The theoretical dataset is generated to train the model,and several data augmentation methods are applied to reduce discrepancies between the theoretical and field data.After applying the trained model to field data,the results demonstrate that our method is fast and achieves comparable location accuracy to the traditional diffraction stacking location method,making it promising for real-time microseismic monitoring.展开更多
This study focuses on Chinese social media platforms(Weibo and Douyin),adopting a mixed-methods approach combining quantitative and qualitative research to explore patterns of code-switching in online language and its...This study focuses on Chinese social media platforms(Weibo and Douyin),adopting a mixed-methods approach combining quantitative and qualitative research to explore patterns of code-switching in online language and its role in identity negotiation among internet users.Quantitative analysis of 208 valid questionnaires and subsequent qualitative discourse analysis reveal that 83%of users unconsciously engage in Chinese-English code-switching,primarily demonstrating intra-sentential switching patterns where English words embed as salient“figures”against the Chinese“ground.”Results of the Chi-square test indicate significant correlations between code-switching frequency,types,and users’identity dimensions(p<0.05).Data identified three identity functions:cultural belonging,in-group signaling,and persona curation.The study confirms that code-switching in digital contexts has transcended the level of linguistic efficiency to become an important social infrastructure for internet users to construct their identities.展开更多
Despite advances in surgery,chemotherapy,and radiotherapy,the treatment of colorectal cancer(CRC)requires more personalized approaches based on tumor biology and molecular profiling.While some relevant mutations have ...Despite advances in surgery,chemotherapy,and radiotherapy,the treatment of colorectal cancer(CRC)requires more personalized approaches based on tumor biology and molecular profiling.While some relevant mutations have been associated with differential response to immunotherapy,such as RAS and BRAF mutations limiting response to anti-epithelial growth factor receptor drugs or microsatellite instability predisposing susceptibility to immune checkpoint inhibitors,the role of inflammation in dictating tumor progression and treatment response is still under investigation.Several inflammatory biomarkers have been identified to guide patient prognosis.These include the neutrophil-lymphocyte ratio,Glasgow prognostic score(GPS)and its modified version,lymphocyte-Creactive protein ratio,and platelet-lymphocyte ratio.However,these markers are not yet included in the standard clinical management of patients with CRC,and further research is needed to evaluate their efficacy in different patient populations.A recent study by Wang et al,published in the World Journal of Gastroenterology,sheds light on the prognostic significance of pan-immune-inflammation value(PIV)in CRC,particularly concerning primary tumor location.Specifically,the authors found that a high PIV was strongly correlated with worse disease-free survival in patients with left-sided colon cancer,whereas no such association was observed in patients with right-sided colon cancer.Integrating tumor location into the prognostic assessment of CRC may improve our ability to more accurately identify high-risk patients and develop personalized treatment plans that are more likely to improve patient outcomes.展开更多
The integration of artificial intelligence(AI)with advanced power technologies is transforming energy system management,particularly through real-time data monitoring and intelligent decision-making driven by Artifici...The integration of artificial intelligence(AI)with advanced power technologies is transforming energy system management,particularly through real-time data monitoring and intelligent decision-making driven by Artificial Intelligence Generated Content(AIGC).However,the openness of power system channels and the resource-constrained nature of power sensors have led to new challenges for the secure transmission of power data and decision instructions.Although traditional public key cryptographic primitives can offer high security,the substantial key management and computational overhead associated with these primitives make them unsuitable for power systems.To ensure the real-time and security of power data and command transmission,we propose a lightweight identity authentication scheme tailored for power AIGC systems.The scheme utilizes lightweight symmetric encryption algorithms,minimizing the resource overhead on power sensors.Additionally,it incorporates a dynamic credential update mechanism,which can realize the rotation and update of temporary credentials to ensure anonymity and security.We rigorously validate the security of the scheme using the Real-or-Random(ROR)model and AVISPA simulation,and the results show that our scheme can resist various active and passive attacks.Finally,performance comparisons and NS3 simulation results demonstrate that our proposed scheme offers enhanced security features with lower overhead,making it more suitable for power AIGC systems compared to existing solutions.展开更多
This study investigates community identity in Nanjing’s historic Hehuatang community during urban renewal,revealing tensions between heritage preservation and modernization.Through ethnographic research,three key fac...This study investigates community identity in Nanjing’s historic Hehuatang community during urban renewal,revealing tensions between heritage preservation and modernization.Through ethnographic research,three key factors are identified shaping identity:(i)material conditions including series of spatial conflicts around overcrowding,(ii)social tensions such as tenant-aborigine divides and generational misunderstanding,and(iii)institutional governance as top-down policies would exacerbate distrust.Despite 82%of residents expressing place attachment,67%desire relocation due to deteriorating liveability—a paradox highlighting the failure of China’s contemporary performative participation models.The adapted three-layer creativity model underscores the need to reconcile physical renewal with social equity.Findings advocate for co-design processes that integrate resident agency,offering lessons for sustainable urban renewal in rapidly developing contexts.展开更多
This paper presents a novel algorithm of fault location for transmission line.Solving the network spectrum equations for different frequencies the fault can be located accurately by this algorithm with one terminal da...This paper presents a novel algorithm of fault location for transmission line.Solving the network spectrum equations for different frequencies the fault can be located accurately by this algorithm with one terminal data of voltage and current,and the identified parameters,such as fault distance, fault resistance,and opposite terminal system resistance and inductance.The algorithm eliminates the influence of the opposite system impedance on the fault location accuracy,which causes the main error in traditional fault location methods using one terminal data.A method of calculating spectrum from sampled data is also proposed.EMTP simulations show the validity and higher accuracy of the fault location algorithm compared to the existing ones based on one terminal data.展开更多
Objective:To examine how emotional labor demands and strategies influence work engagement and occupational identity among Portuguese volunteer firefighters.Methods:Participants completed the Emotional Work Requirement...Objective:To examine how emotional labor demands and strategies influence work engagement and occupational identity among Portuguese volunteer firefighters.Methods:Participants completed the Emotional Work Requirements Scale,Emotional Labour Scale,Utrecht Work Engagement Scale,and Social Identity Scale.Multiple linear regression analyses were conducted to assess the predictive effects of emotional labor demands and strategies on work engagement and occupational identity.Results:Emotional labor explained 11.8%of the variance in work engagement and 10.9%in occupational identity.Positive emotion expression significantly predicted higher work engagement and a stronger occupational identity,while the suppression of negative emotions predicted a weaker occupational identity.Other emotional labor dimensions were not significant.Conclusions:Findings underscore the dual role of emotional labor—as a resource when positive emotions are expressed and as a strain when negative emotions are habitually suppressed.Targeted interventions to promote authentic positive expression and effective emotional processing may enhance firefighters’well-being,strengthen crisis team performance,and benefit the communities they serve.Further research is needed to deepen the understanding of emotional labor in crisis response contexts.展开更多
Effective identification of traffic accident-prone points can reduce accident risks and eliminate safety hazards.This paper first systematically compares the research in Chinese and foreign literature,and proposes thr...Effective identification of traffic accident-prone points can reduce accident risks and eliminate safety hazards.This paper first systematically compares the research in Chinese and foreign literature,and proposes three types of identification indicators,namely absolute,relative and comprehensive,according to different reference standards.According to the evaluation indicators and modelling methods,the current status of research and problems in identification theory and methods are systematically summarised in terms of mathematical statistics,cluster analysis,machine learning and conflict technology.The study shows that the foreign literature focuses on the innovation of data and indicators and changes from accident point safety management to road network safety management,while the research in Chinese literature focuses on the integration of multiple identification methods and theoretical innovation.Driven by big data,the identification of traffic accident-prone points has been further developed at the meso-micro scale.Morphological image processing methods are widely used,combined with GIS platforms,to accurately mine the spatial attributes and correlations of accidents.Also,considering the spatial and temporal distribution of accidents,the identification results are also transformed from regions to specific road sections and points to achieve more accurate identification.展开更多
Data centers operate as physical digital infrastructure for generating,storing,computing,transmitting,and utilizing massive data and information,constituting the backbone of the flourishing digital economy across the ...Data centers operate as physical digital infrastructure for generating,storing,computing,transmitting,and utilizing massive data and information,constituting the backbone of the flourishing digital economy across the world.Given the lack of a consistent analysis for studying the locational factors of data centers and empirical deficiencies in longitudinal investigations on spatial dynamics of heterogeneous data centers,this paper develops a comprehensive analytical framework to examine the dynamic geographies and locational factors of techno-environmentally heterogeneous data centers across Chinese cities in the period of 2006–2021.First,we develop a“supply-demand-environment trinity”analytical framework as well as an accompanying evaluation indicator system with Chinese characteristics.Second,the dynamic geographies of data centers in Chinese cities over the last decades are characterized as spatial polarization in economically leading urban agglomerations alongside persistent interregional gaps across eastern,central,and western regions.Data centers present dual spatial expansion trajectories featuring outward radiation from eastern core urban agglomerations to adjacent peripheries and leapfrog diffusion to strategic central and western digital infrastructural hubs.Third,it is empirically verified that data center construction in Chinese cities over the last decades has been jointly influenced by supply-,demand-,and environment-side locational factors,echoing the efficacy of the trinity analytical framework.Overall,our findings demonstrate the temporal variance,contextual contingency,and attribute-based differentiation of locational factors underlying techno-environmentally heterogeneous data centers in Chinese cities.展开更多
Microseismic (MS) source location plays an important role in MS monitoring. This paper proposes a MS source location method based on particle swarm optimization (PSO) and multi-sensor arrays, where a free weight joint...Microseismic (MS) source location plays an important role in MS monitoring. This paper proposes a MS source location method based on particle swarm optimization (PSO) and multi-sensor arrays, where a free weight joints the P-wave first arrival data. This method adaptively adjusts the preference for “superior” arrays and leverages “inferior” arrays to escape local optima, thereby improving the location accuracy. The effectiveness and stability of this method were validated through synthetic tests, pencil-lead break (PLB) experiments, and mining engineering applications. Specifically, for synthetic tests with 1 μs Gaussian noise and 100 μs large noise in rock samples, the location error of the multi-sensor arrays jointed location method is only 0.30 cm, which improves location accuracy by 97.51% compared to that using a single sensor array. The average location error of PLB events on three surfaces of a rock sample is reduced by 48.95%, 26.40%, and 55.84%, respectively. For mine blast event tests, the average location error of the dual sensor arrays jointed method is 62.74 m, 54.32% and 14.29% lower than that using only sensor arrays 1 and 2, respectively. In summary, the proposed multi-sensor arrays jointed location method demonstrates good noise resistance, stability, and accuracy, providing a compelling new solution for MS location in relevant mining scenarios.展开更多
BACKGROUND Global tumor incidence rises and therapies advance,driving oncology nursing specialization.Granting nurses prescriptive authority optimizes care but polarizes nurses'attitudes due to factors like risk a...BACKGROUND Global tumor incidence rises and therapies advance,driving oncology nursing specialization.Granting nurses prescriptive authority optimizes care but polarizes nurses'attitudes due to factors like risk and competence,hindering policy implementation.AIM To investigate the current status of the attitudes of oncology specialist nurses toward having prescribing authority,specifically concerning symptom management and supportive care in oncology practice,and we conducted a path analysis of their influencing factors.METHODS As participants in the survey,oncology specialist nurses working in hospitals of different grades in Jiangsu Province were selected from March 2025 to May 2025 using a stratified sampling method.The questionnaires were administered using the general information questionnaire,the beliefs and attitudes about nurses'prescriptive authority scale,the nurses'professional identity scale,and the selfefficacy scale.Pearson’s method was used to analyze the correlation between beliefs and attitudes about the prescriptive authority,professional identity,and self-efficacy of nurses.Multiple linear regression was performed to analyze the factors influencing the beliefs and attitudes of nurses’prescriptive authority.The Amos plug-in was used to construct structural equation models to analyze the influencing pathways.RESULTS A total of 329 questionnaires were distributed,and 328 valid questionnaires were returned(effective recovery rate:99.70%).The total score of the 328 oncology nurses on the beliefs and attitudes about nurses'prescriptive authority scale was 101.88±15.13,indicating a moderately high level.Univariate analysis revealed that gender and hospital grade were associated with this score(P<0.05).The Pearson correlation analysis revealed that self-efficacy was positively correlated with the scores of the beliefs and attitudes about nurses’prescriptive authority scale and the nurses’professional identity scale(r=0.4999,P<0.0001 and r=0.7048,P<0.05,respectively),whereas occupational identity was positively correlated only with the former(r=0.6209,P<0.05).Multiple linear regression analysis revealed occupational identity and self-efficacy as the factors influencing the scores of the beliefs and attitudes about nurses’prescriptive authority scale(P<0.05).The results of the path analysis revealed that selfefficacy significantly positively affected nurses’occupational identity and their beliefs and attitudes about having prescriptive authority;occupational identity played a mediating role between the two,with a mediating effect accounting for 54.46% of the total effect,and the structural equation model was well-fitted.CONCLUSION Oncology nurses have more positive attitudes toward prescriptive authority.In addition,self-efficacy positively and indirectly affects nurses’attitudes toward prescriptive authority through the mediating effect of occupational identity.This can be used as a basis for clinical practice to take targeted measures to improve nurses’self-efficacy and occupational identity,thus creating favorable conditions for effectively implementing the policy of prescriptive authority.展开更多
文摘This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 3:Mouse.This standard was released by the China Association of Acupuncture and Moxibustion on May 15,2020,implemented on October 31,2020,and published by Standards Press of China.The standard was drafted by the Institute of Acupuncture and Moxibustion,China Academy of Chinese Medical Sciences,and the Nanjing University of Chinese Medicine.Principal draftsmen:Xiang-hong JING and Xing-bang HUA.Participating draftsmen:Wan-zhu BAI,Bin XU,Dong-sheng XU,Yi GUO,Tie-ming MA,Xin-jun WANG,and Sheng-feng LU.
基金Supported by National Natural Science Foundation of China(Grant No51005205)Science Fund for Creative Research Groups of Nationa Natural Science Foundation of China(Grant No.51221004)+1 种基金Nationa Basic Research Program of China(973 Program,Grant No.2013CB035405)Open Foundation of State Key Laboratory of Automotive Safety and Energy,Tsinghua University,China(Grant No.KF13011)
文摘The intermittent connection（IC）of the field-bus in networked manufacturing systems is a common but hard troubleshooting network problem,which may result in system level failures or safety issues.However,there is no online IC location identification method available to detect and locate the position of the problem.To tackle this problem,a novel model based online fault location identification method for localized IC problem is proposed.First,the error event patterns are identified and classified according to different node sources in each error frame.Then generalized zero inflated Poisson process（GZIP）model for each node is established by using time stamped error event sequence.Finally,the location of the IC fault is determined by testing whether the parameters of the fitted stochastic model is statistically significant or not using the confident intervals of the estimated parameters.To illustrate the proposed method,case studies are conducted on a 3-node controller area network（CAN）test-bed,in which IC induced faults are imposed on a network drop cable using computer controlled on-off switches.The experimental results show the parameters of the GZIP model for the problematic node are statistically significant（larger than 0）,and the patterns of the confident intervals of the estimated parameters are directly linked to the problematic node,which agrees with the experimental setup.The proposed online IC location identification method can successfully identify the location of the drop cable on which IC faults occurs on the CAN network.
文摘This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 2:Rat.This standard was released by the China Association of Acupuncture and Moxibustion on May 15,2020,implemented on October 31,2020,and published by Standards Press of China.The standard was drafted by the Institute of Acupuncture and Moxibustion,China Academy of Chinese Medical Sciences,and the Nanjing University of Chinese Medicine.Principal draftsmen:Xiang-hong JING and Xing-bang HUA.Participating draftsmen:Wan-Zhu BAI,Bin XU,Dong-sheng XU,Yi GUO,Tie-ming MA,Xin-jun WANG,and Sheng-feng LU.
文摘At present, lightning is one of the 10 natural disasters, and it is also the top environmental factor of power interruption. It often causes huge losses to the electric system. The Wuhan High Voltage Institute of the State Grid Corporation of China and Huazhong University of Science and Technology have been researching and developing lightning location systems （LLSs） since the late 1980s. In the mid-1990s, a lightning detection network was created in 29 provinces and cities in China. It is primarily applied to rapidly find lightning accidents, which greatly reduces power interruption. Also, it ensures high efficiency and safe operation of the electricity system. Remarkable benefit is achieved. China＇s LLS went through an ＂orientation positioning - time difference positioning - integrated positioning＂ development process. The positioning precision, detection efficiency, degree of automation, practicability and applied range are improved. Also, a lightning information system plan of the national network has been implemented, which services the whole society.
基金co-supported by the National Key Research and Development Program of China(No.2024YFE0107900)the National Natural Science Foundation of China(No.62222105)+1 种基金the Natural Science Foundation of Guangdong Province,China(No.2024A1515010235)the 2024 China Unicom Guangdong low-altitude communication and sensing key technology research and digital twin platform research and development project(No.20241890).
文摘Unmanned aerial vehicle(UAV)swarm network consisting of a collection of micro UAVs can be used for many applications.It is well established that packet routing is a fundamental problem to achieve UAV collaboration.However,the highly dynamic nature of UAVs,frequently changing network topologies and security issues,poses significant challenges to packet forwarding in UAV networks.The existing topology-based routing protocols are not well suited in UAV network due to their high controlling overhead or excessive end-to-end delay.Geographic routing is regarded as a promising solution,as it only requires local information.In order to enhance the accuracy and security of geographic routing in highly dynamic UAV network,in this paper,we propose a new predictive geographic(PGeo)routing strategy with location verification.First,a detection mechanism is adopted to recognize malicious UAVs falsifying their location.Then,an accurate average service time of a packet in the medium access control(MAC)layer is derived to assist location prediction.The proposed delay model can provide a theoretical basis for future work,and our simulation results reveal that PGeo outstrips the existing geographic routing protocols in terms of packet delivery ratio in the presence of location spoofing behavior.
基金supported by the Beijing Natural Science Foundation(L223025,4242003)Qin Xin Talents Cultivation Program of Beijing Information Science&Technology University(QXTCP B202405)。
文摘With the evolution of next-generation communication networks,ensuring robust Core Network(CN)architecture and data security has become paramount.This paper addresses critical vulnerabilities in the architecture of CN and data security by proposing a novel framework based on blockchain technology that is specifically designed for communication networks.Traditional centralized network architectures are vulnerable to Distributed Denial of Service(DDoS)attacks,particularly in roaming scenarios where there is also a risk of private data leakage,which imposes significant operational demands.To address these issues,we introduce the Blockchain-Enhanced Core Network Architecture(BECNA)and the Secure Decentralized Identity Authentication Scheme(SDIDAS).The BECNA utilizes blockchain technology to decentralize data storage,enhancing network security,stability,and reliability by mitigating Single Points of Failure(SPoF).The SDIDAS utilizes Decentralized Identity(DID)technology to secure user identity data and streamline authentication in roaming scenarios,significantly reducing the risk of data breaches during cross-network transmissions.Our framework employs Ethereum,free5GC,Wireshark,and UERANSIM tools to create a robust,tamper-evident system model.A comprehensive security analysis confirms substantial improvements in user privacy and network security.Simulation results indicate that our approach enhances communication CNs security and reliability,while also ensuring data security.
文摘A novel method is developed by utilizing the fractional frequency based multirange rulers to precisely position the passive inter-modulation(PIM)sources within radio frequency(RF)cables.The proposed method employs a set of fractional frequencies to create multiple measuring rulers with different metric ranges to determine the values of the tens,ones,tenths,and hundredths digits of the distance.Among these rulers,the one with the lowest frequency determines the maximum metric range,while the one with the highest frequency decides the highest achievable accuracy of the position system.For all rulers,the metric accuracy is uniquely determined by the phase accuracy of the detected PIM signals.With the all-phase Fourier transform method,the phases of the PIM signals at all fractional frequencies maintain almost the same accuracy,approximately 1°(about 1/360 wavelength in the positioning accuracy)at the signal-to-noise ratio(SNR)of 10 d B.Numerical simulations verify the effectiveness of the proposed method,improving the positioning accuracy of the cable PIM up to a millimeter level with the highest fractional frequency operating at 200 MHz.
文摘This paper discusses the Bible in relation to the history and culture of the Jewish people along with its place in world culture.Through translation and Christianity its influence extended into the development of literacy among many of the language’s world.The biblical promise to Abraham continues today in the reemergence of the Jewish people as a sovereign nation in the land of Israel after two millennia of wandering.While Bible stories and poetry,primarily through the Psalms,inspired creativity in the visual arts,literature,and music throughout in the Western world.
基金Project foundation information:2023 Shanxi Provincial College Student Innovation and Entrepreneurship Training Project(Project No.:20231789)。
文摘Objective:To analyze the related factors affecting the professional identity of nursing students before and after clinical practice,hoping to provide reference for the career development and education of nursing students.Methods:A total of 393 undergraduate nursing students of grade 2020 from the Department of Nursing of a university in Shanxi Province were selected.The professional choice motivation,educational attainment expectation,future career planning,professional practice,and employment prospect expectation of nursing students before clinical practice,and the willingness to upgrade educational attainment,professional experience,career development expectation,and employment planning of nursing students after clinical practice were investigated.Through statistical analysis of the survey data,the related influencing factors affecting the professional identity of nursing students before and after clinical practice were explored.Results:The observation of general data showed that the proportion of female students in the survey sample was higher than that of male students,and the proportion of those whose family residence was in rural areas was slightly higher than that in urban areas.The analysis of students’own situation showed that nursing students chose the nursing major because of the high expected employment rate,but they were generally anxious about the employment prospect before the internship,showing a contradictory mentality.The analysis of students’professional ability showed that nursing students believed that their professional ability was mainly reflected in the vocational adaptability.The analysis of the social environment showed that the educational attainment expectations of nursing students were mainly undergraduate and master’s degrees,and they preferred to engage in clinical nursing work rather than nursing research.The analysis on the selection of internship hospitals shows that nursing students’choice of internship hospitals is mainly influenced by the duration of the internship,and they consider the correlation between the selection of internship hospitals and future employment decisions to be low.The analysis on the surrounding environment such as family and school shows that the professional identity of nursing students is mainly influenced by the opinions of school teachers and parents,but the occupations of most of the family members of nursing students are not related to medicine.Conclusion:Targeted intervention strategies should be formulated based on the relevant influencing factors that affect the professional identity of nursing students before and after clinical internship,to enhance the professional identity and employment confidence of nursing students,and promote the healthy and sustainable development of nursing education and the medical service industry.
基金supported by National Natural Science Foundation of China Grant(No.42004040,42474092,U2239204,and 42304145)Natural Science Foundation of Jiangxi Province Grant(20242BAB25190 and 20232BAB213077).
文摘Accurate and rapid determination of source locations is of great significance for surface microseismic monitoring.Traditional methods,such as diffraction stacking,are time-consuming and challenging for real-time monitoring.In this study,we propose an approach to locate microseismic events using a deep learning algorithm with surface data.A fully convolutional network is designed to predict source locations.The input data is the waveform of a microseismic event,and the output consists of three 1D Gaussian distributions representing the probability distribution of the source location in the x,y,and z dimensions.The theoretical dataset is generated to train the model,and several data augmentation methods are applied to reduce discrepancies between the theoretical and field data.After applying the trained model to field data,the results demonstrate that our method is fast and achieves comparable location accuracy to the traditional diffraction stacking location method,making it promising for real-time microseismic monitoring.
文摘This study focuses on Chinese social media platforms(Weibo and Douyin),adopting a mixed-methods approach combining quantitative and qualitative research to explore patterns of code-switching in online language and its role in identity negotiation among internet users.Quantitative analysis of 208 valid questionnaires and subsequent qualitative discourse analysis reveal that 83%of users unconsciously engage in Chinese-English code-switching,primarily demonstrating intra-sentential switching patterns where English words embed as salient“figures”against the Chinese“ground.”Results of the Chi-square test indicate significant correlations between code-switching frequency,types,and users’identity dimensions(p<0.05).Data identified three identity functions:cultural belonging,in-group signaling,and persona curation.The study confirms that code-switching in digital contexts has transcended the level of linguistic efficiency to become an important social infrastructure for internet users to construct their identities.
文摘Despite advances in surgery,chemotherapy,and radiotherapy,the treatment of colorectal cancer(CRC)requires more personalized approaches based on tumor biology and molecular profiling.While some relevant mutations have been associated with differential response to immunotherapy,such as RAS and BRAF mutations limiting response to anti-epithelial growth factor receptor drugs or microsatellite instability predisposing susceptibility to immune checkpoint inhibitors,the role of inflammation in dictating tumor progression and treatment response is still under investigation.Several inflammatory biomarkers have been identified to guide patient prognosis.These include the neutrophil-lymphocyte ratio,Glasgow prognostic score(GPS)and its modified version,lymphocyte-Creactive protein ratio,and platelet-lymphocyte ratio.However,these markers are not yet included in the standard clinical management of patients with CRC,and further research is needed to evaluate their efficacy in different patient populations.A recent study by Wang et al,published in the World Journal of Gastroenterology,sheds light on the prognostic significance of pan-immune-inflammation value(PIV)in CRC,particularly concerning primary tumor location.Specifically,the authors found that a high PIV was strongly correlated with worse disease-free survival in patients with left-sided colon cancer,whereas no such association was observed in patients with right-sided colon cancer.Integrating tumor location into the prognostic assessment of CRC may improve our ability to more accurately identify high-risk patients and develop personalized treatment plans that are more likely to improve patient outcomes.
文摘The integration of artificial intelligence(AI)with advanced power technologies is transforming energy system management,particularly through real-time data monitoring and intelligent decision-making driven by Artificial Intelligence Generated Content(AIGC).However,the openness of power system channels and the resource-constrained nature of power sensors have led to new challenges for the secure transmission of power data and decision instructions.Although traditional public key cryptographic primitives can offer high security,the substantial key management and computational overhead associated with these primitives make them unsuitable for power systems.To ensure the real-time and security of power data and command transmission,we propose a lightweight identity authentication scheme tailored for power AIGC systems.The scheme utilizes lightweight symmetric encryption algorithms,minimizing the resource overhead on power sensors.Additionally,it incorporates a dynamic credential update mechanism,which can realize the rotation and update of temporary credentials to ensure anonymity and security.We rigorously validate the security of the scheme using the Real-or-Random(ROR)model and AVISPA simulation,and the results show that our scheme can resist various active and passive attacks.Finally,performance comparisons and NS3 simulation results demonstrate that our proposed scheme offers enhanced security features with lower overhead,making it more suitable for power AIGC systems compared to existing solutions.
基金Sponsored by The National Social Science Fundation of China(24BGL216).
文摘This study investigates community identity in Nanjing’s historic Hehuatang community during urban renewal,revealing tensions between heritage preservation and modernization.Through ethnographic research,three key factors are identified shaping identity:(i)material conditions including series of spatial conflicts around overcrowding,(ii)social tensions such as tenant-aborigine divides and generational misunderstanding,and(iii)institutional governance as top-down policies would exacerbate distrust.Despite 82%of residents expressing place attachment,67%desire relocation due to deteriorating liveability—a paradox highlighting the failure of China’s contemporary performative participation models.The adapted three-layer creativity model underscores the need to reconcile physical renewal with social equity.Findings advocate for co-design processes that integrate resident agency,offering lessons for sustainable urban renewal in rapidly developing contexts.
基金This work was supported by Research Fund for the Doctoral Programof Higher Education(RFDP)(No.20010698015).
文摘This paper presents a novel algorithm of fault location for transmission line.Solving the network spectrum equations for different frequencies the fault can be located accurately by this algorithm with one terminal data of voltage and current,and the identified parameters,such as fault distance, fault resistance,and opposite terminal system resistance and inductance.The algorithm eliminates the influence of the opposite system impedance on the fault location accuracy,which causes the main error in traditional fault location methods using one terminal data.A method of calculating spectrum from sampled data is also proposed.EMTP simulations show the validity and higher accuracy of the fault location algorithm compared to the existing ones based on one terminal data.
基金funded by national funds through FCT-Fundação para a Ciência e a TecnologiaI.P.(Foundation for Science and Technology,I.P.) under project UIDB/05037/2020.
文摘Objective:To examine how emotional labor demands and strategies influence work engagement and occupational identity among Portuguese volunteer firefighters.Methods:Participants completed the Emotional Work Requirements Scale,Emotional Labour Scale,Utrecht Work Engagement Scale,and Social Identity Scale.Multiple linear regression analyses were conducted to assess the predictive effects of emotional labor demands and strategies on work engagement and occupational identity.Results:Emotional labor explained 11.8%of the variance in work engagement and 10.9%in occupational identity.Positive emotion expression significantly predicted higher work engagement and a stronger occupational identity,while the suppression of negative emotions predicted a weaker occupational identity.Other emotional labor dimensions were not significant.Conclusions:Findings underscore the dual role of emotional labor—as a resource when positive emotions are expressed and as a strain when negative emotions are habitually suppressed.Targeted interventions to promote authentic positive expression and effective emotional processing may enhance firefighters’well-being,strengthen crisis team performance,and benefit the communities they serve.Further research is needed to deepen the understanding of emotional labor in crisis response contexts.
基金supported by The Fundamental Research Funds for the Central Universities(No:2022RC023).
文摘Effective identification of traffic accident-prone points can reduce accident risks and eliminate safety hazards.This paper first systematically compares the research in Chinese and foreign literature,and proposes three types of identification indicators,namely absolute,relative and comprehensive,according to different reference standards.According to the evaluation indicators and modelling methods,the current status of research and problems in identification theory and methods are systematically summarised in terms of mathematical statistics,cluster analysis,machine learning and conflict technology.The study shows that the foreign literature focuses on the innovation of data and indicators and changes from accident point safety management to road network safety management,while the research in Chinese literature focuses on the integration of multiple identification methods and theoretical innovation.Driven by big data,the identification of traffic accident-prone points has been further developed at the meso-micro scale.Morphological image processing methods are widely used,combined with GIS platforms,to accurately mine the spatial attributes and correlations of accidents.Also,considering the spatial and temporal distribution of accidents,the identification results are also transformed from regions to specific road sections and points to achieve more accurate identification.
基金Major Program of National Social Science Foundation of China,No.21&ZD107。
文摘Data centers operate as physical digital infrastructure for generating,storing,computing,transmitting,and utilizing massive data and information,constituting the backbone of the flourishing digital economy across the world.Given the lack of a consistent analysis for studying the locational factors of data centers and empirical deficiencies in longitudinal investigations on spatial dynamics of heterogeneous data centers,this paper develops a comprehensive analytical framework to examine the dynamic geographies and locational factors of techno-environmentally heterogeneous data centers across Chinese cities in the period of 2006–2021.First,we develop a“supply-demand-environment trinity”analytical framework as well as an accompanying evaluation indicator system with Chinese characteristics.Second,the dynamic geographies of data centers in Chinese cities over the last decades are characterized as spatial polarization in economically leading urban agglomerations alongside persistent interregional gaps across eastern,central,and western regions.Data centers present dual spatial expansion trajectories featuring outward radiation from eastern core urban agglomerations to adjacent peripheries and leapfrog diffusion to strategic central and western digital infrastructural hubs.Third,it is empirically verified that data center construction in Chinese cities over the last decades has been jointly influenced by supply-,demand-,and environment-side locational factors,echoing the efficacy of the trinity analytical framework.Overall,our findings demonstrate the temporal variance,contextual contingency,and attribute-based differentiation of locational factors underlying techno-environmentally heterogeneous data centers in Chinese cities.
基金Project(SICGM2023301) supported by the State Key Laboratory of Strata Intelligent Control and Green Mining Co-founded by Shandong Province and the Ministry of Science and Technology,ChinaProject(SMDPC202202) supported by the Key Laboratory of Mining Disaster Prevention and Control,ChinaProject(U21A2030) supported by the National Natural Science Foundation of China。
文摘Microseismic (MS) source location plays an important role in MS monitoring. This paper proposes a MS source location method based on particle swarm optimization (PSO) and multi-sensor arrays, where a free weight joints the P-wave first arrival data. This method adaptively adjusts the preference for “superior” arrays and leverages “inferior” arrays to escape local optima, thereby improving the location accuracy. The effectiveness and stability of this method were validated through synthetic tests, pencil-lead break (PLB) experiments, and mining engineering applications. Specifically, for synthetic tests with 1 μs Gaussian noise and 100 μs large noise in rock samples, the location error of the multi-sensor arrays jointed location method is only 0.30 cm, which improves location accuracy by 97.51% compared to that using a single sensor array. The average location error of PLB events on three surfaces of a rock sample is reduced by 48.95%, 26.40%, and 55.84%, respectively. For mine blast event tests, the average location error of the dual sensor arrays jointed method is 62.74 m, 54.32% and 14.29% lower than that using only sensor arrays 1 and 2, respectively. In summary, the proposed multi-sensor arrays jointed location method demonstrates good noise resistance, stability, and accuracy, providing a compelling new solution for MS location in relevant mining scenarios.
文摘BACKGROUND Global tumor incidence rises and therapies advance,driving oncology nursing specialization.Granting nurses prescriptive authority optimizes care but polarizes nurses'attitudes due to factors like risk and competence,hindering policy implementation.AIM To investigate the current status of the attitudes of oncology specialist nurses toward having prescribing authority,specifically concerning symptom management and supportive care in oncology practice,and we conducted a path analysis of their influencing factors.METHODS As participants in the survey,oncology specialist nurses working in hospitals of different grades in Jiangsu Province were selected from March 2025 to May 2025 using a stratified sampling method.The questionnaires were administered using the general information questionnaire,the beliefs and attitudes about nurses'prescriptive authority scale,the nurses'professional identity scale,and the selfefficacy scale.Pearson’s method was used to analyze the correlation between beliefs and attitudes about the prescriptive authority,professional identity,and self-efficacy of nurses.Multiple linear regression was performed to analyze the factors influencing the beliefs and attitudes of nurses’prescriptive authority.The Amos plug-in was used to construct structural equation models to analyze the influencing pathways.RESULTS A total of 329 questionnaires were distributed,and 328 valid questionnaires were returned(effective recovery rate:99.70%).The total score of the 328 oncology nurses on the beliefs and attitudes about nurses'prescriptive authority scale was 101.88±15.13,indicating a moderately high level.Univariate analysis revealed that gender and hospital grade were associated with this score(P<0.05).The Pearson correlation analysis revealed that self-efficacy was positively correlated with the scores of the beliefs and attitudes about nurses’prescriptive authority scale and the nurses’professional identity scale(r=0.4999,P<0.0001 and r=0.7048,P<0.05,respectively),whereas occupational identity was positively correlated only with the former(r=0.6209,P<0.05).Multiple linear regression analysis revealed occupational identity and self-efficacy as the factors influencing the scores of the beliefs and attitudes about nurses’prescriptive authority scale(P<0.05).The results of the path analysis revealed that selfefficacy significantly positively affected nurses’occupational identity and their beliefs and attitudes about having prescriptive authority;occupational identity played a mediating role between the two,with a mediating effect accounting for 54.46% of the total effect,and the structural equation model was well-fitted.CONCLUSION Oncology nurses have more positive attitudes toward prescriptive authority.In addition,self-efficacy positively and indirectly affects nurses’attitudes toward prescriptive authority through the mediating effect of occupational identity.This can be used as a basis for clinical practice to take targeted measures to improve nurses’self-efficacy and occupational identity,thus creating favorable conditions for effectively implementing the policy of prescriptive authority.
