Mine surveying is an indispensable and crucial basic technical work in the process of mineral resource development.It plays an important role throughout the entire life cycle of a mine,from exploration,design,construc...Mine surveying is an indispensable and crucial basic technical work in the process of mineral resource development.It plays an important role throughout the entire life cycle of a mine,from exploration,design,construction,and production to closure,and is known as the“eyes of the mine”.With the rapid development of satellite technology,computer science,artificial intelligence,robotics,and spatiotemporal big data,mine surveying science and technology supported by spatial information technology is increasingly playing the role of the“brain of the mine”.This paper systematically summarizes the characteristics of mining surveying science and technology in contemporary and future mining development.First,based on the requirements of safe,efficient,and green development in modern mining,an analysis is conducted on the innovative practices of intelligent mining methods;secondly,it explains the transformation of regional economic and mining economic integration towards lengthening the industrial chain and scientific and technological innovation.Regarding intelligent mining,this paper discusses three technical dimensions:(1)By establishing a spatiotemporal data model of the mine,real-time perception and remote intelligent control of the production system are realized;(2)Based on the transparent mine three-dimensional geological modelling technology,the accuracy of geological condition prediction and the scientific nature of mining decisions are significantly improved;(3)By integrating multi-source remote sensing data and deep learning algorithms,a high-precision coal and rock identification system is constructed.The study further revealed the innovative application value of mine surveying in the post-mining era,including:diversified utilization of underground space in mining areas(tourism development,geothermal energy storage,pumped storage,etc.),multi-platform remote sensing coordinated ecological restoration monitoring,and optimized land space planning in mining areas.Practice has proved that mine surveying technology is an important technical engine for promoting green transformation and high-quality development in resource-based regions,and has irreplaceable strategic significance for achieving coordinated development of energy,economy,and environment.展开更多
Objective This study aimed to determine the temporal trends in sleep duration among Chinese adults.Methods In this series of repeated nationally representative cross-sectional surveys(China Chronic Disease and Risk Fa...Objective This study aimed to determine the temporal trends in sleep duration among Chinese adults.Methods In this series of repeated nationally representative cross-sectional surveys(China Chronic Disease and Risk Factors Surveillance)conducted between 2010 and 2018,a total of 645,420 adult participants(97,741 in 2010;175,749 in 2013;187,777 in 2015;and 184,153 in 2018)were included in the trend analysis.Linear and logistic regression models were utilized to assess trends in sleep duration.Results In 2018,the estimated overall mean sleep duration among the Chinese adult population was7.58(SD,1.45)hours per day,with no significant trend from 2010.A significant increase in short sleep duration(≤6 hours)was observed in the total population,from 15.3%(95%CI:14.1%–16.5%)in 2010 to18.5%(95%CI:17.7%–19.3%)in 2018(P9 hours)was also significant,increasing in weighted prevalence from 7.2%(95%CI:6.3%–8.1%)in 2010 to 9.0%(95%CI:8.2%–9.9%)in 2018(P<0.001).Conclusion The prevalence of both short and long sleep durations significantly increased among Chinese adults from 2010 to 2018,highlighting the urgency of health initiatives to promote optimal sleep duration in China.展开更多
Objective:The cardiometabolic index(CMI)is a marker currently used to evaluate metabolism.Although the association between overactive bladder(OAB)and obesity has been evaluated in previous studies,the role of the CMI ...Objective:The cardiometabolic index(CMI)is a marker currently used to evaluate metabolism.Although the association between overactive bladder(OAB)and obesity has been evaluated in previous studies,the role of the CMI in adult OAB remains unclear.This study aimed to explore the association between the CMI and OAB in a representative nationwide population.Methods:This cross-sectional study used the 2011e2018 data from the National Health and Nutrition Examination Survey database.The CMI was calculated by multiplying the ratio of triglycerides to high-density lipoprotein cholesterol and that of waist circumference to height.We used the Overactive Bladder Symptom Score to define OAB.Participants with an Overactive Bladder Symptom Score of≥3 were considered as having OAB.Smoothed curve fitting and multivariate logistic regression analyses were used to examine the association between the CMI and OAB in adults.Consistency of these results was examined across various population subgroups.Results:The OAB group included 1549(21%)individuals.Statistically significant differences(p<0.05)were observed between the OAB group and the non-OAB group for all variables.After correcting for potential confounders,we discovered a strong positive association between the CMI and the risk of OAB.For every one-unit increase in CMI,the likelihood of OAB increased by 54%.Subgroup analysis of the association between the CMI and the odds of OAB showed that there were no significant interaction effects within most subgroups.However,the association may be altered by the presence of certain diseases,such as cardiovascular diseases(p=0.022)and diabetes(p=0.023).Conclusion:A higher CMI correlated with a higher risk of OAB development.However,the causal relationship requires further verification.展开更多
This paper presents a systematic survey of machine vision-based surface defect detection technologies,focusing on five core challenges in the field:interference from complex backgrounds,small object detection,class im...This paper presents a systematic survey of machine vision-based surface defect detection technologies,focusing on five core challenges in the field:interference from complex backgrounds,small object detection,class imbalance,dynamic scene modeling,and cross-scenario generalization.It reviews key technical approaches corresponding to these challenges over the past five years.Furthermore,a dataset characterization analysis framework is established around these challenges,summarizing and comparing the characteristics of over 40 publicly available datasets across more than ten scenarios,including PCB,photovoltaic,metal,and pavement surfaces.Quantitative selection metrics(such as the small target coefficient and texture complexity)are proposed for challenges like small target detection and complex backgrounds,offering a methodological guide for aligning research questions with benchmark data.Finally,the paper summarizes current limitations and provides an outlook on new paradigms driven by large-scale models and the construction of high-quality benchmark datasets,aiming to offer valuable references for both research and engineering practices in this field.展开更多
Quality control(QC)serves as a cornerstone of modern manufacturing,exerting a decisive influence on production efficiency,product reliability and customer satisfaction.However,traditional QC systems,which largely rely...Quality control(QC)serves as a cornerstone of modern manufacturing,exerting a decisive influence on production efficiency,product reliability and customer satisfaction.However,traditional QC systems,which largely rely on rule‑based frameworks and narrowly defined statistical methods,face increasing limitations in handling the scale,diversity and complexity of contemporary industrial data.This limitation provides a strong motivation to explore the potential of large models(LMs)for advancing QC.Distinguished by their powerful capabilities in knowledge integration,contextual understanding and adaptive reasoning,LMs offer transformative opportunities to modernize QC.This review begins by analyzing why LMs are particularly well positioned to enhance QC,focusing on three crucial dimensions:input alignment,which enables seamless integration of heterogeneous data sources;task adaptability,which supports associative learning across multiple QC tasks and allows knowledge transfer;and augmented intelligence,which supports human experts in complex decision‑making.Recent advances in industrial applications are summarized,with particular attention to methodological innovations,deployment practices and integration pathways into manufacturing workflows.To systematically structure the current landscape,the key challenges are categorized into three inter‑related dimensions,i.e.,data,model and evaluation,which correspond to the core requirements for model training,practical implementation and sustainable adaptability in real‑world scenarios.Building on this foundation,the review further outlines future research directions,highlighting secure data collaboration,system‑level integration and continual learning under dynamic environments as critical priorities for the next stage of development.Collectively,these insights underscore the promise of LMs in reshaping QC into an intelligent,resilient and future‑ready paradigm.展开更多
Background:The global burden of herpes zoster(HZ)is rising,posing a major public health challenge,especially among aging populations with high chronic disease prevalence.Although chronic conditions are known risk fact...Background:The global burden of herpes zoster(HZ)is rising,posing a major public health challenge,especially among aging populations with high chronic disease prevalence.Although chronic conditions are known risk factors,population-based evidence from China remains scarce.Objective:The aim of the study is to examine the association between chronic diseases and HZ using nationally representative data from China,considering demographic and lifestyle factors.Methods:We conducted a national population-based survey using data from the 2024 China Family Panel Survey.A proba-bility proportional to size sampling method was employed,covering 25 provincial-level administrative divisions and repre-senting 95%of the population in Chinese mainland.A structured questionnaire collected data on HZ diagnosis,chronic disease status,and demographics.Incidence rates were calculated,and multivariable logistic regression was used to estimate adjusted odds ratio(aOR).Results:Among 27,868 participants(21,496 adults;6372 minors),809 adult HZ cases were identified,with 64.40%(n=521)having at least one chronic condition.Female adults with chronic diseases had a higher incidence(12.94/1000 person-years[PY];95%confidence intervals[CI]:11.45–14.56)than males(8.78/1000 PY;95%CI:7.55–10.12).Incidence increased with age,from 8.07/1000 PY(95%CI:4.45–13.10)in those aged 18–29 to 13.36/1000 PY(95%CI:11.08–15.96)in those≥70.Chronic disease was associated with elevated HZ risk(aOR=1.84;95%CI:1.51–2.24).Among 14 chronic conditions,heart disease showed the strongest association(aOR=2.91;95%CI:2.07–4.10),followed by diabetes(aOR=2.04;95%CI:1.48–2.80)and hypertension(aOR=1.89;95%CI:1.47–2.42).Conclusions:Chronic diseases,particularly cardiovascular and metabolic conditions,are significantly associated with increased HZ risk.These findings highlight the need for targeted HZ prevention strategies,including vaccination,among high-risk groups in China.展开更多
Background Frailty is common and significantly impacts prognosis in heart failure(HF). The Vulnerable Elders Survey-13(VES-13), widely used in oncogeriatrics and public health, remains unexplored as a frailty screenin...Background Frailty is common and significantly impacts prognosis in heart failure(HF). The Vulnerable Elders Survey-13(VES-13), widely used in oncogeriatrics and public health, remains unexplored as a frailty screening tool in HF outpatients. In this study, we prospectively evaluated VES-13 against a multimodal screening assessment in detecting frailty and predicting individual risk of adverse prognosis.Methods Frailty was assessed at the initial visit using both a multimodal approach, incorporating Barthel Index, Older American Resources and Services scale, Pfeiffer Test, abbreviated Geriatric Depression Scale, age > 85 years, lacking support systems,and VES-13. Patients scoring ≥ 3 on VES-13 or meeting at least one multimodal criterion were classified as frail. Endpoints included all-cause mortality, a composite of death or HF hospitalization, and recurrent HF hospitalizations.Results A total of 301 patients were evaluated. VES-13 identified 40.2% as frail and the multimodal assessment 33.2%. In Cox regression analyses, frailty identified by VES-13 showed greater prognostic significance than the multimodal assessment for allcause mortality(HR = 3.70 [2.15–6.33], P < 0.001 vs. 2.40 [1.46–4.0], P = 0.001) and the composite endpoint(HR = 3.13 [2.02–4.84], P< 0.001 vs. 1.96 [1.28–2.99], P = 0.002). Recurrent HF hospitalizations were four times more frequent in VES-13 frail patients while two times in those identified as frail by the multimodal assessment. Additionally, stratifying patients by VES-13 tertiles provided robust risk differentiation.Conclusions VES-13, a simple frailty tool, outperformed a comprehensive multimodal assessment and could be easily integrated into routine HF care, highlighting its clinical utility in identifying patients at risk for poor outcomes.展开更多
Asteroid light curves play a crucial role in asteroid science,providing valuable insights into the physical properties and internal structures of asteroids.However,traditional approaches to asteroid light curve analys...Asteroid light curves play a crucial role in asteroid science,providing valuable insights into the physical properties and internal structures of asteroids.However,traditional approaches to asteroid light curve analysis rely on high-cadence,dense photometric observations,which are fundamentally at odds with the sparse sampling strategies adopted by current large-scale sky surveys.This study aims to use sparse observations to fit light curves and preliminarily identify candidates for fast-rotating asteroids which are worthy of subsequent follow-up observations.We applied this approach to the Wide Field Survey Telescope(WFST)observations collected between 2024 June and 2025 March,and derived light curves for∼160 asteroids from∼3800,among which 18 were identified as fast-rotating candidates.Notably,four of these asteroids exhibit rotation periods shorter than 2.2 hr,the critical limit for structural stability.The number of objects requiring follow-up confirmation was reduced from∼3800 to 18,greatly improving the efficiency of the telescope.This work highlights the potential of sparse photometry in asteroid light curve analysis and establishes a novel route for efficiently identifying“timecritical”asteroids within large survey datasets,marking a paradigm shift from detailed studies of individual objects toward efficient screening of large samples.展开更多
In this paper,we present 16 early-phase type Ia supernovae(SNe Ia)discovered during the pilot survey of the 2.5 mr Wide Field Survey Telescope(WFST-PS)from 2024 March 4 to July 10 including three SNe Ia with early-exc...In this paper,we present 16 early-phase type Ia supernovae(SNe Ia)discovered during the pilot survey of the 2.5 mr Wide Field Survey Telescope(WFST-PS)from 2024 March 4 to July 10 including three SNe Ia with early-excess emission features(EEx SNe Ia).The discovery magnitude of the 16 WFST-PS early-phase SNe is at least 3 mag fainter than their peak brightness.A large scatter of color indices is found in approximately the first 10 days of supernova explosions,indicating diverse photometric behaviors in the early phase.Three EEx SNe Ia show relatively brighter peak luminosities and longer rise time compared to those of non-EEx SNe Ia.The results indicate that current theoretical models require further refinement to fully capture the early photometric evolution of SNe Ia.Based on the initial highcadence ugr-band data from the WFST-PS survey,we emphasize that early near-ultraviolet(NUV)observations are indispensable for placing tight constraints on the explosion mechanisms and progenitor systems of SNe Ia.展开更多
As attack techniques evolve and data volumes increase,the integration of artificial intelligence-based security solutions into industrial control systems has become increasingly essential.Artificial intelligence holds...As attack techniques evolve and data volumes increase,the integration of artificial intelligence-based security solutions into industrial control systems has become increasingly essential.Artificial intelligence holds significant potential to improve the operational efficiency and cybersecurity of these systems.However,its dependence on cyber-based infrastructures expands the attack surface and introduces the risk that adversarial manipulations of artificial intelligence models may cause physical harm.To address these concerns,this study presents a comprehensive review of artificial intelligence-driven threat detection methods and adversarial attacks targeting artificial intelligence within industrial control environments,examining both their benefits and associated risks.A systematic literature review was conducted across major scientific databases,including IEEE,Elsevier,Springer Nature,ACM,MDPI,and Wiley,covering peer-reviewed journal and conference papers published between 2017 and 2026.Studies were selected based on predefined inclusion and exclusion criteria following a structured screening process.Based on an analysis of 101 selected studies,this survey categorizes artificial intelligence-based threat detection approaches across the physical,control,and application layers of industrial control systems and examines poisoning,evasion,and extraction attacks targeting industrial artificial intelligence.The findings identify key research trends,highlight unresolved security challenges,and discuss implications for the secure deployment of artificial intelligence-enabled cybersecurity solutions in industrial control systems.展开更多
Unmanned Aerial Vehicle(UAV)target tracking is one of the key technologies in aerial intelligent perception systems,playing a vital role in applications such as traffic monitoring,border patrol,disaster response,searc...Unmanned Aerial Vehicle(UAV)target tracking is one of the key technologies in aerial intelligent perception systems,playing a vital role in applications such as traffic monitoring,border patrol,disaster response,search and rescue,environmental monitoring,and military reconnaissance.Compared with generic object tracking tasks,UAV platforms exhibit significant differences in imaging perspectives,target scales,motion patterns,and onboard computing capabilities,which pose unique challenges for UAV target tracking,including small targets and drastic scale variations,platform motion and motion blur,complex backgrounds and frequent occlusions,low-light conditions at night,as well as real-time and energy constraints.To address these issues,a large number of UAV-oriented tracking methods have been proposed in recent years,covering traditional correlation filters,deep Siamese networks,and emerging Transformer-based models,achieving continuous performance improvements across multiple UAV benchmark datasets.Despite substantial research efforts,existing survey works primarily focus on generic object tracking or a single technical approach,lacking a systematic summary and comparative analysis from the perspective of UAV application requirements.Unlike previous surveys that mainly classify methods based on model architecture,the innovation of this study lies in establishing a unified UAV target tracking framework centered on five major challenges.First,we analyze typical UAV tracking applications and core challenges.Then,from a challenge-driven perspective,existing methods are categorized and summarized based on small targets and scale variations,rapid motion and motion blur,complex backgrounds and occlusions,low-light night conditions,and lightweight and real-time considerations.Furthermore,we conduct quantitative and qualitative comparisons of representative methods in terms of accuracy,success rate,and computational efficiency on mainstream benchmarks,including UAV123,UAV123@10fps,UAVDT,UAV20L,and DTB70.Finally,we looked ahead to future development directions,such as lightweight deployment,multi-modal fusion,and large model-driven approaches.This work aims to provide a clear technical roadmap and a systematic reference for UAV target tracking research.展开更多
BACKGROUND Gastrointestinal endoscopy technology has significantly improved the diagnostic accuracy and the successful treatment of gastrointestinal diseases.However,a series of ethical issues have emerged,such as exp...BACKGROUND Gastrointestinal endoscopy technology has significantly improved the diagnostic accuracy and the successful treatment of gastrointestinal diseases.However,a series of ethical issues have emerged,such as expanding treatment indications,which affect the fair distribution of medical resources.There is limited research on ethical issues in the field of digestive endoscopy.AIM To investigate the level of ethical awareness among gastrointestinal endoscopy practitioners and analyze the ethical issues involved in gastrointestinal endoscopy technology.METHODS A questionnaire survey was performed to collect relevant data(gender,age,degree of education,professional title,personnel category,the level of understanding medical ethical principles,ethics training and its learning pathways)from gastrointestinal endoscopy practitioners at the Second Hospital of Dalian Medical University and Dalian Friendship Hospital,including licensed physicians and nurses(including trainees and graduate students).RESULTS The majority of gastrointestinal endoscopy practitioners have received training on ethics,but there is still considerable room for improvement in their ethical awareness.Different learning pathways may affect the mastery of ethical principles, and understanding of ethical principles is more easily achieved through hospital ethics institutions.CONCLUSIONTo address the ethical issues in gastrointestinal endoscopy technology, it is necessary to enhance the humanisticeducation of gastrointestinal endoscopy practitioners, incorporate ethical standards into the technology assessmentprocess, and establish a patient-centered diagnostic and treatment model to improve the ethical awareness of practitionersand achieve a balance between technology and ethics.展开更多
AIM:To assess risk factors for epiretinal membranes(ERM)and examine their interactions in a nationally representative U.S.dataset.METHODS:Data from the 2005–2008 National Health and Nutrition Examination Survey(NHANE...AIM:To assess risk factors for epiretinal membranes(ERM)and examine their interactions in a nationally representative U.S.dataset.METHODS:Data from the 2005–2008 National Health and Nutrition Examination Survey(NHANES)were analyzed,a nationally representative U.S.dataset.ERM was identified via retinal imaging based on the presence of cellophane changes.Key predictors included age group,eye surgery history,and refractive error,with additional demographic and health-related covariates.Weighted univariate and multiple logistic regression models were used to assess associations and interaction effects between eye surgery and refractive error.RESULTS:Totally 3925 participants were analyzed.Older age,eye surgery,and refractive errors were significantly associated with ERM.Compared to those under 65y,the odds ratio(OR)for ERM was 3.08 for ages 65–75y(P=0.0014)and 4.76 for ages 75+years(P=0.0069).Eye surgery increased ERM risk(OR=3.48,P=0.0018).Moderate to high hyperopia and myopia were also associated with ERM(OR=2.65 and 1.80,respectively).A significant interaction between refractive error and eye surgery was observed(P<0.0001).Moderate to high myopia was associated with ERM only in those without eye surgery(OR=1.92,P=0.0443).Eye surgery was most strongly associated with ERM in the emmetropic group(OR=3.60,P=0.0027),followed by the moderate to high myopia group(OR=3.01,P=0.0031).CONCLUSION:ERM is significantly associated with aging,eye surgery,and refractive errors.The interaction between eye surgery and refractive error modifies ERM risk and highlights the importance of considering combined effects in clinical risk assessments.These findings may help guide individualized ERM risk assessment that may inform personalized approaches to ERM prevention and management.展开更多
To gain an in-depth understanding of China’s urban labor market,the Institute of Population and Labor Economics at the Chinese Academy of Social Sciences(IPLE-CASS)conducted the fifth wave of the China Urban Labor Su...To gain an in-depth understanding of China’s urban labor market,the Institute of Population and Labor Economics at the Chinese Academy of Social Sciences(IPLE-CASS)conducted the fifth wave of the China Urban Labor Survey in 2023,which covers eight major representative cities.The survey collected 9,122 household questionnaires and 26,145 individual questionnaires from 381 neighborhood committees.Based on this data,the report systematically analyzes employment,wages,educational attainment,and social security among China’s urban workforce.Key findings include an inverted U-shaped age pattern of labor force participation,with a widening gender gap after childbearing age.Additionally,job search methods combine market-based channels with traditional social networks.Notably,the gender wage gap persists and widens over the life cycle,while employed women now have higher average years of schooling than men.Rural-to-urban migrants show higher labor force participation rates but remain disadvantaged in wages,education,and social security coverage.Thus,this survey provides a comprehensive picture of the structural characteristics and challenges of China’s urban labor market,providing a solid data foundation for academic research and public policy design.展开更多
基金supported by the National Natural Science Foundation of China(Nos.52394193 and U22A20569)the National Key R&D Program Projects(Nos.2023YFC3804200 and 2023YFC3804205).
摘要Mine surveying is an indispensable and crucial basic technical work in the process of mineral resource development.It plays an important role throughout the entire life cycle of a mine,from exploration,design,construction,and production to closure,and is known as the“eyes of the mine”.With the rapid development of satellite technology,computer science,artificial intelligence,robotics,and spatiotemporal big data,mine surveying science and technology supported by spatial information technology is increasingly playing the role of the“brain of the mine”.This paper systematically summarizes the characteristics of mining surveying science and technology in contemporary and future mining development.First,based on the requirements of safe,efficient,and green development in modern mining,an analysis is conducted on the innovative practices of intelligent mining methods;secondly,it explains the transformation of regional economic and mining economic integration towards lengthening the industrial chain and scientific and technological innovation.Regarding intelligent mining,this paper discusses three technical dimensions:(1)By establishing a spatiotemporal data model of the mine,real-time perception and remote intelligent control of the production system are realized;(2)Based on the transparent mine three-dimensional geological modelling technology,the accuracy of geological condition prediction and the scientific nature of mining decisions are significantly improved;(3)By integrating multi-source remote sensing data and deep learning algorithms,a high-precision coal and rock identification system is constructed.The study further revealed the innovative application value of mine surveying in the post-mining era,including:diversified utilization of underground space in mining areas(tourism development,geothermal energy storage,pumped storage,etc.),multi-platform remote sensing coordinated ecological restoration monitoring,and optimized land space planning in mining areas.Practice has proved that mine surveying technology is an important technical engine for promoting green transformation and high-quality development in resource-based regions,and has irreplaceable strategic significance for achieving coordinated development of energy,economy,and environment.
基金supported by the National Natural Science Foundation of China(82341245,82371491)the Chinese Central Government(Key Project of Public Health Program)the National Key Research and Development Program of China(2018YFC1311706,2018YFC1311702)。
摘要Objective This study aimed to determine the temporal trends in sleep duration among Chinese adults.Methods In this series of repeated nationally representative cross-sectional surveys(China Chronic Disease and Risk Factors Surveillance)conducted between 2010 and 2018,a total of 645,420 adult participants(97,741 in 2010;175,749 in 2013;187,777 in 2015;and 184,153 in 2018)were included in the trend analysis.Linear and logistic regression models were utilized to assess trends in sleep duration.Results In 2018,the estimated overall mean sleep duration among the Chinese adult population was7.58(SD,1.45)hours per day,with no significant trend from 2010.A significant increase in short sleep duration(≤6 hours)was observed in the total population,from 15.3%(95%CI:14.1%–16.5%)in 2010 to18.5%(95%CI:17.7%–19.3%)in 2018(P9 hours)was also significant,increasing in weighted prevalence from 7.2%(95%CI:6.3%–8.1%)in 2010 to 9.0%(95%CI:8.2%–9.9%)in 2018(P<0.001).Conclusion The prevalence of both short and long sleep durations significantly increased among Chinese adults from 2010 to 2018,highlighting the urgency of health initiatives to promote optimal sleep duration in China.
摘要Objective:The cardiometabolic index(CMI)is a marker currently used to evaluate metabolism.Although the association between overactive bladder(OAB)and obesity has been evaluated in previous studies,the role of the CMI in adult OAB remains unclear.This study aimed to explore the association between the CMI and OAB in a representative nationwide population.Methods:This cross-sectional study used the 2011e2018 data from the National Health and Nutrition Examination Survey database.The CMI was calculated by multiplying the ratio of triglycerides to high-density lipoprotein cholesterol and that of waist circumference to height.We used the Overactive Bladder Symptom Score to define OAB.Participants with an Overactive Bladder Symptom Score of≥3 were considered as having OAB.Smoothed curve fitting and multivariate logistic regression analyses were used to examine the association between the CMI and OAB in adults.Consistency of these results was examined across various population subgroups.Results:The OAB group included 1549(21%)individuals.Statistically significant differences(p<0.05)were observed between the OAB group and the non-OAB group for all variables.After correcting for potential confounders,we discovered a strong positive association between the CMI and the risk of OAB.For every one-unit increase in CMI,the likelihood of OAB increased by 54%.Subgroup analysis of the association between the CMI and the odds of OAB showed that there were no significant interaction effects within most subgroups.However,the association may be altered by the presence of certain diseases,such as cardiovascular diseases(p=0.022)and diabetes(p=0.023).Conclusion:A higher CMI correlated with a higher risk of OAB development.However,the causal relationship requires further verification.
基金supported in part by the Natural Science Foundation of Shaanxi Province of China under Grant 2024JC-YBQN-0695.
摘要This paper presents a systematic survey of machine vision-based surface defect detection technologies,focusing on five core challenges in the field:interference from complex backgrounds,small object detection,class imbalance,dynamic scene modeling,and cross-scenario generalization.It reviews key technical approaches corresponding to these challenges over the past five years.Furthermore,a dataset characterization analysis framework is established around these challenges,summarizing and comparing the characteristics of over 40 publicly available datasets across more than ten scenarios,including PCB,photovoltaic,metal,and pavement surfaces.Quantitative selection metrics(such as the small target coefficient and texture complexity)are proposed for challenges like small target detection and complex backgrounds,offering a methodological guide for aligning research questions with benchmark data.Finally,the paper summarizes current limitations and provides an outlook on new paradigms driven by large-scale models and the construction of high-quality benchmark datasets,aiming to offer valuable references for both research and engineering practices in this field.
基金supported by the National Natural Science Foundation of China(Grant Nos.72471145,72371217,and 72101148)the Youth Talent Support Program of the China Association for Science and Technology(No.YES20240068)+1 种基金Guangzhou Industrial Informatics and Intelligence Key Laboratory,China(No.2024A03J0628)Nansha Key Area Science and Technology Project,China(Nos.2023ZD003 and 2021JC02X191).
摘要Quality control(QC)serves as a cornerstone of modern manufacturing,exerting a decisive influence on production efficiency,product reliability and customer satisfaction.However,traditional QC systems,which largely rely on rule‑based frameworks and narrowly defined statistical methods,face increasing limitations in handling the scale,diversity and complexity of contemporary industrial data.This limitation provides a strong motivation to explore the potential of large models(LMs)for advancing QC.Distinguished by their powerful capabilities in knowledge integration,contextual understanding and adaptive reasoning,LMs offer transformative opportunities to modernize QC.This review begins by analyzing why LMs are particularly well positioned to enhance QC,focusing on three crucial dimensions:input alignment,which enables seamless integration of heterogeneous data sources;task adaptability,which supports associative learning across multiple QC tasks and allows knowledge transfer;and augmented intelligence,which supports human experts in complex decision‑making.Recent advances in industrial applications are summarized,with particular attention to methodological innovations,deployment practices and integration pathways into manufacturing workflows.To systematically structure the current landscape,the key challenges are categorized into three inter‑related dimensions,i.e.,data,model and evaluation,which correspond to the core requirements for model training,practical implementation and sustainable adaptability in real‑world scenarios.Building on this foundation,the review further outlines future research directions,highlighting secure data collaboration,system‑level integration and continual learning under dynamic environments as critical priorities for the next stage of development.Collectively,these insights underscore the promise of LMs in reshaping QC into an intelligent,resilient and future‑ready paradigm.
摘要Background:The global burden of herpes zoster(HZ)is rising,posing a major public health challenge,especially among aging populations with high chronic disease prevalence.Although chronic conditions are known risk factors,population-based evidence from China remains scarce.Objective:The aim of the study is to examine the association between chronic diseases and HZ using nationally representative data from China,considering demographic and lifestyle factors.Methods:We conducted a national population-based survey using data from the 2024 China Family Panel Survey.A proba-bility proportional to size sampling method was employed,covering 25 provincial-level administrative divisions and repre-senting 95%of the population in Chinese mainland.A structured questionnaire collected data on HZ diagnosis,chronic disease status,and demographics.Incidence rates were calculated,and multivariable logistic regression was used to estimate adjusted odds ratio(aOR).Results:Among 27,868 participants(21,496 adults;6372 minors),809 adult HZ cases were identified,with 64.40%(n=521)having at least one chronic condition.Female adults with chronic diseases had a higher incidence(12.94/1000 person-years[PY];95%confidence intervals[CI]:11.45–14.56)than males(8.78/1000 PY;95%CI:7.55–10.12).Incidence increased with age,from 8.07/1000 PY(95%CI:4.45–13.10)in those aged 18–29 to 13.36/1000 PY(95%CI:11.08–15.96)in those≥70.Chronic disease was associated with elevated HZ risk(aOR=1.84;95%CI:1.51–2.24).Among 14 chronic conditions,heart disease showed the strongest association(aOR=2.91;95%CI:2.07–4.10),followed by diabetes(aOR=2.04;95%CI:1.48–2.80)and hypertension(aOR=1.89;95%CI:1.47–2.42).Conclusions:Chronic diseases,particularly cardiovascular and metabolic conditions,are significantly associated with increased HZ risk.These findings highlight the need for targeted HZ prevention strategies,including vaccination,among high-risk groups in China.
摘要Background Frailty is common and significantly impacts prognosis in heart failure(HF). The Vulnerable Elders Survey-13(VES-13), widely used in oncogeriatrics and public health, remains unexplored as a frailty screening tool in HF outpatients. In this study, we prospectively evaluated VES-13 against a multimodal screening assessment in detecting frailty and predicting individual risk of adverse prognosis.Methods Frailty was assessed at the initial visit using both a multimodal approach, incorporating Barthel Index, Older American Resources and Services scale, Pfeiffer Test, abbreviated Geriatric Depression Scale, age > 85 years, lacking support systems,and VES-13. Patients scoring ≥ 3 on VES-13 or meeting at least one multimodal criterion were classified as frail. Endpoints included all-cause mortality, a composite of death or HF hospitalization, and recurrent HF hospitalizations.Results A total of 301 patients were evaluated. VES-13 identified 40.2% as frail and the multimodal assessment 33.2%. In Cox regression analyses, frailty identified by VES-13 showed greater prognostic significance than the multimodal assessment for allcause mortality(HR = 3.70 [2.15–6.33], P < 0.001 vs. 2.40 [1.46–4.0], P = 0.001) and the composite endpoint(HR = 3.13 [2.02–4.84], P< 0.001 vs. 1.96 [1.28–2.99], P = 0.002). Recurrent HF hospitalizations were four times more frequent in VES-13 frail patients while two times in those identified as frail by the multimodal assessment. Additionally, stratifying patients by VES-13 tertiles provided robust risk differentiation.Conclusions VES-13, a simple frailty tool, outperformed a comprehensive multimodal assessment and could be easily integrated into routine HF care, highlighting its clinical utility in identifying patients at risk for poor outcomes.
基金supported by the National Key R&D Program of China(2023YFA1608100)the National Science Foundation of China(NSFC,grant No.12233008)+1 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences(grant No.XDB0550200)the Cyrus Chun Ying Tang Foundations,and the 111 Project for“Observational and Theoretical Research on Dark Matter and Dark Energy”(B23042).
摘要Asteroid light curves play a crucial role in asteroid science,providing valuable insights into the physical properties and internal structures of asteroids.However,traditional approaches to asteroid light curve analysis rely on high-cadence,dense photometric observations,which are fundamentally at odds with the sparse sampling strategies adopted by current large-scale sky surveys.This study aims to use sparse observations to fit light curves and preliminarily identify candidates for fast-rotating asteroids which are worthy of subsequent follow-up observations.We applied this approach to the Wide Field Survey Telescope(WFST)observations collected between 2024 June and 2025 March,and derived light curves for∼160 asteroids from∼3800,among which 18 were identified as fast-rotating candidates.Notably,four of these asteroids exhibit rotation periods shorter than 2.2 hr,the critical limit for structural stability.The number of objects requiring follow-up confirmation was reduced from∼3800 to 18,greatly improving the efficiency of the telescope.This work highlights the potential of sparse photometry in asteroid light curve analysis and establishes a novel route for efficiently identifying“timecritical”asteroids within large survey datasets,marking a paradigm shift from detailed studies of individual objects toward efficient screening of large samples.
基金supported by the National Natural Science Foundation of China(grant No.12393811)the National Key R&D Program of China(grant No.2023YFA1608100)+4 种基金the Strategic Priority Research Program of the Chinese Academy of Science(grant No.XDB0550300)support from the Japan Society for the Promotion of Science(JSPS)KAKENHI grants JP22K14069support from the JSPS KAKENHI grant JP24KK0070 and 24H01810support from the JSPS bilateral JPJSBP120229923financial support from AGAUR,CSIC,MCIN,and AEI 10.13039/501100011033 under projects PID2023151307NB-I00,PIE 20215AT016,CEX2020-001058-M,ILINK23001,COOPB2304,and 2021-SGR-01270。
摘要In this paper,we present 16 early-phase type Ia supernovae(SNe Ia)discovered during the pilot survey of the 2.5 mr Wide Field Survey Telescope(WFST-PS)from 2024 March 4 to July 10 including three SNe Ia with early-excess emission features(EEx SNe Ia).The discovery magnitude of the 16 WFST-PS early-phase SNe is at least 3 mag fainter than their peak brightness.A large scatter of color indices is found in approximately the first 10 days of supernova explosions,indicating diverse photometric behaviors in the early phase.Three EEx SNe Ia show relatively brighter peak luminosities and longer rise time compared to those of non-EEx SNe Ia.The results indicate that current theoretical models require further refinement to fully capture the early photometric evolution of SNe Ia.Based on the initial highcadence ugr-band data from the WFST-PS survey,we emphasize that early near-ultraviolet(NUV)observations are indispensable for placing tight constraints on the explosion mechanisms and progenitor systems of SNe Ia.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2023-00242528,50%)supported by the Korea Internet&Security Agency(KISA)through the Information Security Specialized University Support Project(50%).
摘要As attack techniques evolve and data volumes increase,the integration of artificial intelligence-based security solutions into industrial control systems has become increasingly essential.Artificial intelligence holds significant potential to improve the operational efficiency and cybersecurity of these systems.However,its dependence on cyber-based infrastructures expands the attack surface and introduces the risk that adversarial manipulations of artificial intelligence models may cause physical harm.To address these concerns,this study presents a comprehensive review of artificial intelligence-driven threat detection methods and adversarial attacks targeting artificial intelligence within industrial control environments,examining both their benefits and associated risks.A systematic literature review was conducted across major scientific databases,including IEEE,Elsevier,Springer Nature,ACM,MDPI,and Wiley,covering peer-reviewed journal and conference papers published between 2017 and 2026.Studies were selected based on predefined inclusion and exclusion criteria following a structured screening process.Based on an analysis of 101 selected studies,this survey categorizes artificial intelligence-based threat detection approaches across the physical,control,and application layers of industrial control systems and examines poisoning,evasion,and extraction attacks targeting industrial artificial intelligence.The findings identify key research trends,highlight unresolved security challenges,and discuss implications for the secure deployment of artificial intelligence-enabled cybersecurity solutions in industrial control systems.
基金supported by the National Natural Science Foundation of China(No.62306049,No.W2421089 and No.92471207)the General Programof Chongqing Natural Science Foundation(No.CSTB2023NSCQMSX0665 and No.CSTB2023NSCQ-MSX0992)the Fundamental Research Funds for the Central Universities(No.2024CDJXY008).
摘要Unmanned Aerial Vehicle(UAV)target tracking is one of the key technologies in aerial intelligent perception systems,playing a vital role in applications such as traffic monitoring,border patrol,disaster response,search and rescue,environmental monitoring,and military reconnaissance.Compared with generic object tracking tasks,UAV platforms exhibit significant differences in imaging perspectives,target scales,motion patterns,and onboard computing capabilities,which pose unique challenges for UAV target tracking,including small targets and drastic scale variations,platform motion and motion blur,complex backgrounds and frequent occlusions,low-light conditions at night,as well as real-time and energy constraints.To address these issues,a large number of UAV-oriented tracking methods have been proposed in recent years,covering traditional correlation filters,deep Siamese networks,and emerging Transformer-based models,achieving continuous performance improvements across multiple UAV benchmark datasets.Despite substantial research efforts,existing survey works primarily focus on generic object tracking or a single technical approach,lacking a systematic summary and comparative analysis from the perspective of UAV application requirements.Unlike previous surveys that mainly classify methods based on model architecture,the innovation of this study lies in establishing a unified UAV target tracking framework centered on five major challenges.First,we analyze typical UAV tracking applications and core challenges.Then,from a challenge-driven perspective,existing methods are categorized and summarized based on small targets and scale variations,rapid motion and motion blur,complex backgrounds and occlusions,low-light night conditions,and lightweight and real-time considerations.Furthermore,we conduct quantitative and qualitative comparisons of representative methods in terms of accuracy,success rate,and computational efficiency on mainstream benchmarks,including UAV123,UAV123@10fps,UAVDT,UAV20L,and DTB70.Finally,we looked ahead to future development directions,such as lightweight deployment,multi-modal fusion,and large model-driven approaches.This work aims to provide a clear technical roadmap and a systematic reference for UAV target tracking research.
摘要BACKGROUND Gastrointestinal endoscopy technology has significantly improved the diagnostic accuracy and the successful treatment of gastrointestinal diseases.However,a series of ethical issues have emerged,such as expanding treatment indications,which affect the fair distribution of medical resources.There is limited research on ethical issues in the field of digestive endoscopy.AIM To investigate the level of ethical awareness among gastrointestinal endoscopy practitioners and analyze the ethical issues involved in gastrointestinal endoscopy technology.METHODS A questionnaire survey was performed to collect relevant data(gender,age,degree of education,professional title,personnel category,the level of understanding medical ethical principles,ethics training and its learning pathways)from gastrointestinal endoscopy practitioners at the Second Hospital of Dalian Medical University and Dalian Friendship Hospital,including licensed physicians and nurses(including trainees and graduate students).RESULTS The majority of gastrointestinal endoscopy practitioners have received training on ethics,but there is still considerable room for improvement in their ethical awareness.Different learning pathways may affect the mastery of ethical principles, and understanding of ethical principles is more easily achieved through hospital ethics institutions.CONCLUSIONTo address the ethical issues in gastrointestinal endoscopy technology, it is necessary to enhance the humanisticeducation of gastrointestinal endoscopy practitioners, incorporate ethical standards into the technology assessmentprocess, and establish a patient-centered diagnostic and treatment model to improve the ethical awareness of practitionersand achieve a balance between technology and ethics.
基金Supported by Chengdu Municipal Science and Technology Bureau Key R&D Support Program(No.2023-YF09-00041-SN)。
摘要AIM:To assess risk factors for epiretinal membranes(ERM)and examine their interactions in a nationally representative U.S.dataset.METHODS:Data from the 2005–2008 National Health and Nutrition Examination Survey(NHANES)were analyzed,a nationally representative U.S.dataset.ERM was identified via retinal imaging based on the presence of cellophane changes.Key predictors included age group,eye surgery history,and refractive error,with additional demographic and health-related covariates.Weighted univariate and multiple logistic regression models were used to assess associations and interaction effects between eye surgery and refractive error.RESULTS:Totally 3925 participants were analyzed.Older age,eye surgery,and refractive errors were significantly associated with ERM.Compared to those under 65y,the odds ratio(OR)for ERM was 3.08 for ages 65–75y(P=0.0014)and 4.76 for ages 75+years(P=0.0069).Eye surgery increased ERM risk(OR=3.48,P=0.0018).Moderate to high hyperopia and myopia were also associated with ERM(OR=2.65 and 1.80,respectively).A significant interaction between refractive error and eye surgery was observed(P<0.0001).Moderate to high myopia was associated with ERM only in those without eye surgery(OR=1.92,P=0.0443).Eye surgery was most strongly associated with ERM in the emmetropic group(OR=3.60,P=0.0027),followed by the moderate to high myopia group(OR=3.01,P=0.0031).CONCLUSION:ERM is significantly associated with aging,eye surgery,and refractive errors.The interaction between eye surgery and refractive error modifies ERM risk and highlights the importance of considering combined effects in clinical risk assessments.These findings may help guide individualized ERM risk assessment that may inform personalized approaches to ERM prevention and management.
基金supported by the Special Project of the National Natural Science Foundation of China(NSFC)“The Uniqueness of China’s Demographic Transition,Its Economic Impact,and Policy Implications”(Grant No.72141310)the Major Economic and Social Survey Project of the Chinese Academy of Social Sciences(CASS)“China Urban Labor Survey”(Grant No.GQDC2023022)the Comprehensive Grant of CASS Affiliated Institute Laboratories“Population Simulation and Employment Monitoring Laboratory”(Grant No.2024SYZH008).
摘要To gain an in-depth understanding of China’s urban labor market,the Institute of Population and Labor Economics at the Chinese Academy of Social Sciences(IPLE-CASS)conducted the fifth wave of the China Urban Labor Survey in 2023,which covers eight major representative cities.The survey collected 9,122 household questionnaires and 26,145 individual questionnaires from 381 neighborhood committees.Based on this data,the report systematically analyzes employment,wages,educational attainment,and social security among China’s urban workforce.Key findings include an inverted U-shaped age pattern of labor force participation,with a widening gender gap after childbearing age.Additionally,job search methods combine market-based channels with traditional social networks.Notably,the gender wage gap persists and widens over the life cycle,while employed women now have higher average years of schooling than men.Rural-to-urban migrants show higher labor force participation rates but remain disadvantaged in wages,education,and social security coverage.Thus,this survey provides a comprehensive picture of the structural characteristics and challenges of China’s urban labor market,providing a solid data foundation for academic research and public policy design.