China’s“common prosperity”policy is a multidimensional pursuit of social and economic progress aimed at full realization by 2050.A CHIEVING common prosperity–prosperity that is universally shared–has been a longs...China’s“common prosperity”policy is a multidimensional pursuit of social and economic progress aimed at full realization by 2050.A CHIEVING common prosperity–prosperity that is universally shared–has been a longstanding aspiration of the Chinese government.展开更多
As a key node of modern transportation network,the informationization management of road tunnels is crucial to ensure the operation safety and traffic efficiency.However,the existing tunnel vehicle modeling methods ge...As a key node of modern transportation network,the informationization management of road tunnels is crucial to ensure the operation safety and traffic efficiency.However,the existing tunnel vehicle modeling methods generally have problems such as insufficient 3D scene description capability and low dynamic update efficiency,which are difficult to meet the demand of real-time accurate management.For this reason,this paper proposes a vehicle twin modeling method for road tunnels.This approach starts from the actual management needs,and supports multi-level dynamic modeling from vehicle type,size to color by constructing a vehicle model library that can be flexibly invoked;at the same time,semantic constraint rules with geometric layout,behavioral attributes,and spatial relationships are designed to ensure that the virtual model matches with the real model with a high degree of similarity;ultimately,the prototype system is constructed and the case region is selected for the case study,and the dynamic vehicle status in the tunnel is realized by integrating real-time monitoring data with semantic constraints for precise virtual-real mapping.Finally,the prototype system is constructed and case experiments are conducted in selected case areas,which are combined with real-time monitoring data to realize dynamic updating and three-dimensional visualization of vehicle states in tunnels.The experiments show that the proposed method can run smoothly with an average rendering efficiency of 17.70 ms while guaranteeing the modeling accuracy(composite similarity of 0.867),which significantly improves the real-time and intuitive tunnel management.The research results provide reliable technical support for intelligent operation and emergency response of road tunnels,and offer new ideas for digital twin modeling of complex scenes.展开更多
Wigner-Ville distribution(WVD)is widely used in the field of signal processing due to its excellent time-frequency(TF)concentration.However,WVD is severely limited by the cross-term when working with multicomponent si...Wigner-Ville distribution(WVD)is widely used in the field of signal processing due to its excellent time-frequency(TF)concentration.However,WVD is severely limited by the cross-term when working with multicomponent signals.In this paper,we analyze the property differences between auto-term and cross-term in the one-dimensional sequence and the two-dimensional plane and approximate entropy and Rényi entropy are employed to describe them,respectively.Based on this information,we propose a new method to achieve adaptive cross-term removal by combining seeded region growing.Compared to other methods,the new method can achieve cross-term removal without decreasing the TF concentration of the auto-term.Simulation and experimental data processing results show that the method is adaptive and is not constrained by the type or distribution of signals.And it performs well in low signal-to-noise ratio environments.展开更多
The polarization properties of light are widely applied in imaging,communications,materials analy⁃sis,and life sciences.Various methods have been developed that can measure the polarization information of a target.How...The polarization properties of light are widely applied in imaging,communications,materials analy⁃sis,and life sciences.Various methods have been developed that can measure the polarization information of a target.However,conventional polarization detection systems are often bulky and complex,limiting their poten⁃tial for broader applications.To address the challenges of miniaturization,integrated polarization detectors have been extensively explored in recent years,achieving significant advancements in performance and functionality.In this review,we focus mainly on integrated polarization detectors with innovative features,including infinitely high polarization discrimination,ultrahigh sensitivity to polarization state change,full Stokes parameters measure⁃ment,and simultaneous perception of polarization and other key properties of light.Lastly,we discuss the oppor⁃tunities and challenges for the future development of integrated polarization photodetectors.展开更多
The demand for flexible electric heating devices has increased due to technology advancement and improved living standards.These devices have various applications including personal thermal management,hyperthermia,def...The demand for flexible electric heating devices has increased due to technology advancement and improved living standards.These devices have various applications including personal thermal management,hyperthermia,defrosting,agricultural heating film,and oil-water separation.Joule heat,generated by electric currents,is commonly used in electrical appliances.To incorporate Joule heating into flexible electronics,new materials with excellent mechanical properties are necessary.Traditional polymers,used as reinforcements,limit the continuity of conductive networks in composites.Therefore,there is a need to develop flexible Joule thermal composite materials with enhanced mechanical strength and conductivity.Cellulose,a widely available renewable resource,is attracting attention for its excellent mechanical properties.It can be used as a dispersant and reinforcing agent for conductive fillers in cellulose-based composites,creating highly conductive networks.Various forms of cellulose,such as wood,nanocellulose,pulp fiber,bacterial cellulose,cellulose paper,textile clothing,and aramid fiber,have been utilized to achieve high-performance Joule thermal composites.Researchers have achieved excellent mechanical properties and developed efficient electric heating devices by designing cellulose-based composites with different structures.The scalable production methods enable large-scale application of cellulose-based devices,each with unique advantages in 1D,2D,and 3D structures.This review summarizes recent advancements in cellulose-based Joule thermal composites,providing insights into different structural devices,and discussing prospects and challenges in the field.展开更多
Objectives:Schizophrenia is a profoundly stigmatized mental health condition,characterized by misconceptions that affect societal attitudes,policy development,and the lived experiences of individuals with the conditio...Objectives:Schizophrenia is a profoundly stigmatized mental health condition,characterized by misconceptions that affect societal attitudes,policy development,and the lived experiences of individuals with the condition.This study aimed to develop and validate a multidimensional scale for assessing societal stigma towards schizophrenia,while exploring how demographic factors influence such attitudes.Methods:Drawing on an extensive literature review and consultations,the study identified five domains of stigma:Workplace Capability,Intimate Relationships,Autonomy,Risk Perception,and Recovery.Using a two-phase methodology,a preliminary 38-itemscale was administered to 729 participants from the general Spanish population,refining the measure through descriptive and exploratory factor analysis.Subsequently,a revised 34-item scale was validated through confirmatory factor analysis with an independent sample of 417 participants.Results:The final model showed good fit(RMSEA=0.056,CFI=0.938,TLI=0.933)and strong internal consistency(α=0.73–0.86).Findings revealed that stigma was most pronounced in the domain of Autonomy(Mean=2.83,SD=0.91),reflecting pervasive doubts about individuals’ability to live independently and achieve meaningful integration into society.Stigma varied significantly across demographic variables,with higher levels reported among men,older individuals,married participants,and those outside health professions(p<0.01).Conversely,healthcare professionals,younger individuals,and those familiar with someone with schizophrenia generally reported less stigma(p<0.01).Conclusion:This study developed and validated a robust multidimensional scale for assessing societal stigma toward schizophrenia.The five-factor model—Workplace Capability,Intimate Relationships,Autonomy,Risk Perception,and Recovery—was empirically supported.Autonomy and Recovery emerged as themost stigmatized domains across the Spanish general population.The scale demonstrated strong psychometric properties and effectively captured stigma patterns linked to key sociodemographic variables.展开更多
BACKGROUND Post-endoscopic retrograde cholangiopancreatography(ERCP)pancreatitis is a common complication of the procedure.The effective prevention of post-ERCP pancreatitis(PEP)remains a key focus of clinical researc...BACKGROUND Post-endoscopic retrograde cholangiopancreatography(ERCP)pancreatitis is a common complication of the procedure.The effective prevention of post-ERCP pancreatitis(PEP)remains a key focus of clinical research.AIM To develop a prediction model for PEP based on multidimensional clinical indicators and evaluate its clinical application value.METHODS We retrospectively analyzed 183 patients with biliary tract diseases who underwent ERCP at Xuzhou Medical University from January 2020 to June 2023,divided into non-PEP(n=159)and PEP(n=24)groups based on PEP development.Baseline and intraoperative data were compared,and PEP-related factors examined via univariate and multivariate logistic regression.Using R,70%of patients were assigned to training and 30%to testing sets for PEP prediction model development.Model accuracy was evaluated using a calibration curve and receiver operating characteristic(ROC)area under the curve(AUC).RESULTS Age,total cholesterol level,history of pancreatitis,pancreatic ductography,bleeding,and intubation time differed significantly between the two groups when baseline data and intraoperative conditions were compared(P<0.05).Multifactorial logistic regression analysis demonstrated that age[odds ratio(OR)=0.192,95%confidence interval(CI):0.053-0.698],total cholesterol(OR=0.324,95%CI:0.152-0.694),history of pancreatitis(OR=6.159,95%CI:1.770-21.434),pancreatography(OR=3.726,95%CI:1.028-13.507),and bleeding(OR=3.059,95%CI:1.001-9.349)were independently associated with acute pancreatitis after ERCP.The predictive probabilities from the calibration curves had mean errors of 0.021 and 0.030,with ROC AUCs of 0.840 and 0.797 in the training and test sets,respectively.CONCLUSION Age,total cholesterol,pancreatitis history,pancreatic ductography,and bleeding influence the risk of acute PEP.A model incorporating these factors may aid early detection and intervention.展开更多
Global framework for nature management requires identifying areas of high priority for biodiversity conservation and restoration.The unique environments of Qinghai-Xizang Plateau(QXP) provide irreplaceable habitats fo...Global framework for nature management requires identifying areas of high priority for biodiversity conservation and restoration.The unique environments of Qinghai-Xizang Plateau(QXP) provide irreplaceable habitats for biodiversity which is prominent under future climate change.Despite the recent increase in research interest on conservation priorities,there is a lack of comprehensive and targeted protection strategies for pandemic species under climate change.Here,we compiled an exhaustive dataset with the variables of extinction risk and occurrence records of ectothermic lizards to investigate the conservation priorities in the QXP.We assessed the conservation status of the QXP lizards and identified the priority protected areas within the QXP under future climate scenarios using phylogenetic generalized least squares and ensemble species distribution models.Our analyses suggested nine lizard species to be prioritized for protection,with the most critical priority species being Dopasia gracilis,D.harti,and Phrynocephalus putjatai.Moreover,the priority protected areas covered~4.7%area of the QXP,mostly in the southern QXP and southeastern Hengduan Mountains.Protecting these regions would achieve a conservation effectiveness of≥95%for species richness,phylogenetic and functionaldiversity under climate change.Our findings provide realistic guidance for improving the conservation effectiveness of specific-lizard and-regions in the QXP under climate change.Our“bottom-up”approach could help the conservation efforts of other regions and species as an alternative to“top-down”global maps.展开更多
Purpose:To explore how different types of research funding affect research papers,with implications for optimizing funding policies and promoting sustainable research development.Design/methodology/approach:We used so...Purpose:To explore how different types of research funding affect research papers,with implications for optimizing funding policies and promoting sustainable research development.Design/methodology/approach:We used social network analysis and citation analysis to compare the influence of funded and non-funded papers,as well as among different funding types.Multidimensional scaling and cohesive subgroup analysis revealed thematic differences.Findings:Funded papers do not always show higher academic influence than non-funded ones,but multifunded papers perform better than single-funded ones.Papers funded by international institutions and HKMT have a greater impact on the international academic community.Funded papers emphasize innovation and interdisciplinarity;non-funded papers focus more on classical theory application.Research limitations:This study used only the WoS Core Collection,potentially missing other funding sources.Practical implications:The findings inform the refinement of funding policies and support strategies that encourage impactful and innovative research.Originality/value:This study offers a multi-level empirical analysis of how funding shapes research influence and thematic trends.展开更多
The study of plant diversity is often hindered by the challenge of integrating data from different sources and different data types.A standardized data system would facilitate detailed exploration of plant distributio...The study of plant diversity is often hindered by the challenge of integrating data from different sources and different data types.A standardized data system would facilitate detailed exploration of plant distribution patterns and dynamics for botanists,ecologists,conservation biologists,and biogeographers.This study proposes a gridded vector data integration method,combining grid-based techniques with vectorization to integrate diverse data types from multiple sources into grids of the same scale.Here we demonstrate the methodology by creating a comprehensive 1°×1°database of western China that includes plant distribution information and environmental factor data.This approach addresses the need for a standardized data system to facilitate exploration of plant distribution patterns and dynamic changes in the region.展开更多
Indian Railways have been the largest people moving transport infrastructure in India.Over the years the systems and trains have been upgraded resulting in both better passenger amenities and reduction in travel time....Indian Railways have been the largest people moving transport infrastructure in India.Over the years the systems and trains have been upgraded resulting in both better passenger amenities and reduction in travel time.The newest addition is the Vande Bharat Express,a semi-high-speed train that was introduced in India in 2019.The train currently runs between 10 routes and has brought significant changes to India’s railway network.This article explores the introduction of Vande Bharat Express trains in India and its effects on the country’s interstation time-space shrinkage using cartographic techniques.The cartographic techniques like stepwise multidimensional scaling and interpolation using the distance cartogram plugin in QGIS are mainly used for generating the time-space maps for various speeds.The limitations of these techniques and the methods to overcome those limitations are also explored in this article.展开更多
Confronting the escalating global challenge of counterfeit products,developing advanced anticounterfeiting materials and structures with physical unclonable functions(PUFs)has become imperative.All-optical PUFs,distin...Confronting the escalating global challenge of counterfeit products,developing advanced anticounterfeiting materials and structures with physical unclonable functions(PUFs)has become imperative.All-optical PUFs,distinguished by their high output complexity and expansive response space,offer a promising alternative to conventional electronic counterparts.For practical authentications,the expansion of optical PUF keys usually involves intricate spatial or spectral shaping of excitation light using bulky external apparatus,which largely hinders the applications of optical PUFs.Here,we report a plasmonic PUF system based on heterogeneous nanostructures.The template-assisted shadow deposition technique was employed to adjust the morphological diversity of densely packed metal nanoparticles in individual PUFs.Transmission images were processed via a hash algorithm,and the generated PUF keys with a scalable capacity from 2875 to 243401 exhibit excellent uniqueness,randomness,and reproducibility.Furthermore,the wavelength and the polarization state of the excitation light are harnessed as two distinct expanding strategies,offering the potential for multiscenario applications via a single PUF.Overall,our reported plasmonic PUFs operated with the multidimensional expanding strategy are envisaged to serve as easy-to-integrate,easy-to-use systems and promise efficacy across a broad spectrum of applications,from anticounterfeiting to data encryption and authentication.展开更多
BACKGROUND According to the Global Cancer Statistics Report,the incidence of colorectal cancer ranks third and the mortality rate ranks second worldwide among malignant tumors.AIM To explore the effects of Nursing Out...BACKGROUND According to the Global Cancer Statistics Report,the incidence of colorectal cancer ranks third and the mortality rate ranks second worldwide among malignant tumors.AIM To explore the effects of Nursing Outcomes Classification(NOC)-based multidimensional nursing on self-efficacy and symptom relief in patients with low anterior resection syndrome(LARS)following sphincter-preserving surgery.METHODS This observational study enrolled 120 patients with LARS after sphincterpreserving surgery for low rectal cancer admitted to our hospital between January 2022 and December 2024.The patients were randomly divided into a control group(n=60)that received routine nursing intervention or an observation group(n=60)that received multidimensional nursing intervention.Before and after the intervention,the Chinese version of the Self-Management Efficacy Scale for Cancer Patients(SUPPH),the LARS scoring scale,and the European Organization for Research and Treatment of Cancer Quality of Life Core Scale(EORTC QLQC30)were used to evaluate the self-efficacy,symptom relief,and quality of life of the two patient groups,and the nursing satisfaction was compared between the groups.RESULTS After the intervention,both groups showed increased scores for each item on the SUPPH and EORTC QLQ-C30 scales compared with those before the intervention,whereas the LARS score showed a decreasing trend.Compared with the control group,the scores for each item of the SUPPH and EORTC QLQ-C30 scales in the observation group were significantly higher after the intervention,while the LARS score was significantly lower(all P<0.05).Nursing satisfaction was significantly higher in the observation group than in the control group(83.33%vs 95.00%,P<0.05).CONCLUSION Multidimensional NOC-based nursing improves self-efficacy,symptoms,quality of life,and satisfaction in patients with LARS.However,further research is needed to assess its long-term and comparative effectiveness.展开更多
This review delves into the emerging field of multidimensional catalysis,with a particular focus on the regulation of electrocatalysis by external magnetic fields.It outlines the significance of electrocatalysis in cl...This review delves into the emerging field of multidimensional catalysis,with a particular focus on the regulation of electrocatalysis by external magnetic fields.It outlines the significance of electrocatalysis in clean energy conversion and storage,and how magnetic fields can enhance the efficiency,selectivity,and stability of electrocatalytic reactions through various mechanisms such as Lorentz force,magnetocaloric effects,and spin selectivity.The review also discusses the historical evolution of catalysis research from one-dimensional to multidimensional and highlights the role of magnetic fields in catalyst synthesis,mass transfer,electron transfer,and reaction kinetics.Furthermore,it summarizes key applications of magnetic fields in different electrocatalytic reactions,supported by theoretical calculations that provide insights into the microscopic mechanisms.This comprehensive overview not only offers a theoretical and experimental foundation for the development of new electrocatalysts but also paves the way for more efficient and sustainable electrocatalytic technologies,marking a significant step toward the advancement of clean energy solutions.展开更多
The development of chemical technologies,which involves a multistage process covering laboratory research,scale‐up to industrial deployment,and necessitates interdisciplinary collaboration,is often accompanied by sub...The development of chemical technologies,which involves a multistage process covering laboratory research,scale‐up to industrial deployment,and necessitates interdisciplinary collaboration,is often accompanied by substantial time and economic costs.To address these challenges,in this work,we report ChemELLM,a domain‐specific large language model(LLM)with 70 billion parameters for chemical engineering.ChemELLM demonstrates state‐of‐the‐art performance across critical tasks ranging from foundational understanding to professional problem‐solving.It outperforms mainstream LLMs(e.g.,O1‐Preview,GPT‐4o,and DeepSeek‐R1)on ChemEBench,the first multidimensional benchmark for chemical engineering,which encompasses 15 dimensions across 101 distinct essential tasks.To support robust model development,we curated ChemEData,a purpose‐built dataset containing 19 billion tokens for pre‐training and 1 billion tokens for fine‐tuning.This work establishes a new paradigm for artificial intelligence‐driven innovation,bridging the gap between laboratory‐scale innovation and industrial‐scale implementation,thus accelerating technological advancement in chemical engineering.ChemELLM is publicly available at https://chemindustry.iflytek.com/chat.展开更多
Against the backdrop of new quality productivity driving high-quality economic development,this paper examines how technological innovation,digital transformation,and green development reshape the competencies and tra...Against the backdrop of new quality productivity driving high-quality economic development,this paper examines how technological innovation,digital transformation,and green development reshape the competencies and training models of highly skilled talent.It analyzes multidimensional characteristics,including knowledge structure,innovation awareness,digital literacy,and cross-boundary collaboration,revealing a shift towards“innovative,composite,and intelligent”profiles.The study identifies misalignments in current vocational education,such as outdated curricula and insufficient industry-education integration.It proposes innovative training paths,including deep industry-education collaboration,digital-intelligent teaching,and lifelong learning ecosystems.Case studies validate the feasibility of aligning talent development with new quality productivity demands.展开更多
Objective:To explore the effect of implementing the case-based three-dimensional teaching method guided by evidence-based thinking in the teaching of trainee nurses in the rehabilitation department.Method:Eighty nursi...Objective:To explore the effect of implementing the case-based three-dimensional teaching method guided by evidence-based thinking in the teaching of trainee nurses in the rehabilitation department.Method:Eighty nursing practice nurses who were conducting clinical practice learning in the Rehabilitation Department of Deyang People’s Hospital from June 2024 to May 2025 were selected as the research subjects.By using the controlled grouping method,the practice nurses from June 2024 to November 2024 were taken as the control group(n=40).The period from December 2024 to May 2025 was taken as the experimental group(n=40 students),the control group was taught by traditional teaching methods,and the experimental group was taught by evidence-based nursing combined with case teaching method.The clinical thinking ability,autonomous learning ability,exit assessment scores and teaching satisfaction of the two groups of intern nurses at the time of leaving the department were compared.Results:At the time of leaving the department,the scores of each dimension and the total score of clinical thinking ability of the intern nurses in the experimental group were higher than those in the control group(t=9.268,6.354,6.199)9.694,all p<0.05).At the time of leaving the department the scores of each dimension and the total score of the autonomous learning ability of the intern nurses in the experimental group were higher than those in the control group(t=6.998,7.333,5.503,5.977,22.244)all p<0.05).At the time of leaving the department the theoretical assessment scores and operational assessment scores of the experimental group were both higher than those of the control group(t=14.546,11.676,all p<0.05).At the time of graduation,the teaching satisfaction of the experimental group was higher than that of the control group(χ^(2)=7.314,p<0.05.Conclusion:The adoption of the case-based three-dimensional teaching.Rehabilitation method guided by the evidence-based ideology during the teaching process can effectively improve the clinical thinking ability,autonomous learning ability,departmental assessment results and teaching satisfaction of the intern nurses in the rehabilitation department,which is worthy of reference.展开更多
The zero coprime system equivalence is one of important research in the theory of multidimensional system equivalence,and is closely related to zero coprime equivalence of multivariate polynomial matrices.We first dis...The zero coprime system equivalence is one of important research in the theory of multidimensional system equivalence,and is closely related to zero coprime equivalence of multivariate polynomial matrices.We first discuss the relation between zero coprime equivalence and unimodular equivalence for polynomial matrices.Then,we investigate the zero coprime equivalence problem for several classes of polynomial matrices,some novel findings and criteria on reducing these matrices to their Smith normal forms are obtained.Finally,an example is provided to illustrate the main results.展开更多
Ink-jetting printing stands out among various conformal additive manufacturing techniques for its multi-material,digital control,and process flexibility.Ink-jetting-based conformal additive manufacturing is renowned f...Ink-jetting printing stands out among various conformal additive manufacturing techniques for its multi-material,digital control,and process flexibility.Ink-jetting-based conformal additive manufacturing is renowned for its adaptability to complex topological surfaces and is emerging as a critical technology for future comprehensive conformal printing systems.This review highlights the distinctiveness of four primary ink-jetting printing techniques in conformal additive manufacturing—piezoelectric jetting,thermal bubble jetting,aerosol jetting,and electrohydrodynamic jetting—and delves into how these attributes endow ink-jetting printing with unique advantages in conformal processes.Furthermore,leveraging these advantages,the review discusses potential applications in conformal electronics,energy devices,biology,and electromagnetics to bolster the ongoing development and application.Considering the current state of this technology,the review identifies critical challenges for future advancements,such as dynamic surface printing,integrated fabrication of multifunctional conformal structures,and the balance between resolution and throughput.This review summarizes the latest research and technological advancements in ink-jetting-based conformal additive manufacturing,aiding in its innovative applications and enhanced manufacturing capabilities in the future.展开更多
Spectral and polarization information are crucial for characterizing the composition and surface morphology of various materials.However,traditional spectral and polarization detection systems are hampered by bulky,si...Spectral and polarization information are crucial for characterizing the composition and surface morphology of various materials.However,traditional spectral and polarization detection systems are hampered by bulky,single-function optical components and complex configurations,hindering the portable,low-cost,and multifunctional applications in compact,field-deployable devices.In this study,we introduce a miniaturized near-infrared(NIR)spectro-polarimetric detection device utilizing a group of meta-spectro-polarimeters(MSPs),which support quasi-bound states in the continuum(QBIC)under specific incident polarization,significantly reducing the spatial footprint and improving the design scalability.By precisely adjusting the high quality resonances and polarization sensitive radiation behavior of MSPs,we not only extend the number of spectral waveband to 20 that greatly surpassing traditional division-of-amplitude or division-of-time schemes,but also ensure an average spectral resolution power(SRP,λ/Δλ)of 71.03.We achieve high accuracy multidimensional spectro-polarization detection,resulting in the angle of linear polarization(AoLP)with an average error of 4.67°and precise spectrum reconstruction in a machine-learning free way,avoiding the huge computational power and energy during the training process.Additionally,we demonstrate the high spectro-polarimetric imaging performance of our system in different experimental scene.Such multidimensional detection device holds great promise for adoption in fields like aerospace,chemical detection,machine vision,and so on.展开更多
文摘China’s“common prosperity”policy is a multidimensional pursuit of social and economic progress aimed at full realization by 2050.A CHIEVING common prosperity–prosperity that is universally shared–has been a longstanding aspiration of the Chinese government.
基金National Natural Science Foundation of China(Nos.42301473,42271424,42171397)Chinese Postdoctoral Innovation Talents Support Program(No.BX20230299)+2 种基金China Postdoctoral Science Foundation(No.2023M742884)Natural Science Foundation of Sichuan Province(Nos.24NSFSC2264,2025ZNSFSC0322)Key Research and Development Project of Sichuan Province(No.24ZDYF0633).
文摘As a key node of modern transportation network,the informationization management of road tunnels is crucial to ensure the operation safety and traffic efficiency.However,the existing tunnel vehicle modeling methods generally have problems such as insufficient 3D scene description capability and low dynamic update efficiency,which are difficult to meet the demand of real-time accurate management.For this reason,this paper proposes a vehicle twin modeling method for road tunnels.This approach starts from the actual management needs,and supports multi-level dynamic modeling from vehicle type,size to color by constructing a vehicle model library that can be flexibly invoked;at the same time,semantic constraint rules with geometric layout,behavioral attributes,and spatial relationships are designed to ensure that the virtual model matches with the real model with a high degree of similarity;ultimately,the prototype system is constructed and the case region is selected for the case study,and the dynamic vehicle status in the tunnel is realized by integrating real-time monitoring data with semantic constraints for precise virtual-real mapping.Finally,the prototype system is constructed and case experiments are conducted in selected case areas,which are combined with real-time monitoring data to realize dynamic updating and three-dimensional visualization of vehicle states in tunnels.The experiments show that the proposed method can run smoothly with an average rendering efficiency of 17.70 ms while guaranteeing the modeling accuracy(composite similarity of 0.867),which significantly improves the real-time and intuitive tunnel management.The research results provide reliable technical support for intelligent operation and emergency response of road tunnels,and offer new ideas for digital twin modeling of complex scenes.
基金Supported by the National Natural Science Foundation of China(62201171).
文摘Wigner-Ville distribution(WVD)is widely used in the field of signal processing due to its excellent time-frequency(TF)concentration.However,WVD is severely limited by the cross-term when working with multicomponent signals.In this paper,we analyze the property differences between auto-term and cross-term in the one-dimensional sequence and the two-dimensional plane and approximate entropy and Rényi entropy are employed to describe them,respectively.Based on this information,we propose a new method to achieve adaptive cross-term removal by combining seeded region growing.Compared to other methods,the new method can achieve cross-term removal without decreasing the TF concentration of the auto-term.Simulation and experimental data processing results show that the method is adaptive and is not constrained by the type or distribution of signals.And it performs well in low signal-to-noise ratio environments.
基金Supported by the National Key Research and Development Program of China(2022YFA1404602)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0580000)+3 种基金the National Natural Science Foundation of China(U23B2045,62305362)the Program of Shanghai Academic/Technology Research Leader(22XD1424400)the Fund of SITP Innovation Foundation(CX-461 and CX-522)Special Project to Seize the Commanding Heights of Science and Technology of Chinese Academy of Sciences,subtopic(GJ0090406-6).
文摘The polarization properties of light are widely applied in imaging,communications,materials analy⁃sis,and life sciences.Various methods have been developed that can measure the polarization information of a target.However,conventional polarization detection systems are often bulky and complex,limiting their poten⁃tial for broader applications.To address the challenges of miniaturization,integrated polarization detectors have been extensively explored in recent years,achieving significant advancements in performance and functionality.In this review,we focus mainly on integrated polarization detectors with innovative features,including infinitely high polarization discrimination,ultrahigh sensitivity to polarization state change,full Stokes parameters measure⁃ment,and simultaneous perception of polarization and other key properties of light.Lastly,we discuss the oppor⁃tunities and challenges for the future development of integrated polarization photodetectors.
基金supported by the fund of the National Natural Science Foundation of China(Nos.22378249,22078184,and 22171170)the China Postdoctoral Science Foundation(No.2019M653853XB)the Natural Science Advance Research Foundation of Shaanxi University of Science and Technology(No.2018QNBJ-03).
文摘The demand for flexible electric heating devices has increased due to technology advancement and improved living standards.These devices have various applications including personal thermal management,hyperthermia,defrosting,agricultural heating film,and oil-water separation.Joule heat,generated by electric currents,is commonly used in electrical appliances.To incorporate Joule heating into flexible electronics,new materials with excellent mechanical properties are necessary.Traditional polymers,used as reinforcements,limit the continuity of conductive networks in composites.Therefore,there is a need to develop flexible Joule thermal composite materials with enhanced mechanical strength and conductivity.Cellulose,a widely available renewable resource,is attracting attention for its excellent mechanical properties.It can be used as a dispersant and reinforcing agent for conductive fillers in cellulose-based composites,creating highly conductive networks.Various forms of cellulose,such as wood,nanocellulose,pulp fiber,bacterial cellulose,cellulose paper,textile clothing,and aramid fiber,have been utilized to achieve high-performance Joule thermal composites.Researchers have achieved excellent mechanical properties and developed efficient electric heating devices by designing cellulose-based composites with different structures.The scalable production methods enable large-scale application of cellulose-based devices,each with unique advantages in 1D,2D,and 3D structures.This review summarizes recent advancements in cellulose-based Joule thermal composites,providing insights into different structural devices,and discussing prospects and challenges in the field.
文摘Objectives:Schizophrenia is a profoundly stigmatized mental health condition,characterized by misconceptions that affect societal attitudes,policy development,and the lived experiences of individuals with the condition.This study aimed to develop and validate a multidimensional scale for assessing societal stigma towards schizophrenia,while exploring how demographic factors influence such attitudes.Methods:Drawing on an extensive literature review and consultations,the study identified five domains of stigma:Workplace Capability,Intimate Relationships,Autonomy,Risk Perception,and Recovery.Using a two-phase methodology,a preliminary 38-itemscale was administered to 729 participants from the general Spanish population,refining the measure through descriptive and exploratory factor analysis.Subsequently,a revised 34-item scale was validated through confirmatory factor analysis with an independent sample of 417 participants.Results:The final model showed good fit(RMSEA=0.056,CFI=0.938,TLI=0.933)and strong internal consistency(α=0.73–0.86).Findings revealed that stigma was most pronounced in the domain of Autonomy(Mean=2.83,SD=0.91),reflecting pervasive doubts about individuals’ability to live independently and achieve meaningful integration into society.Stigma varied significantly across demographic variables,with higher levels reported among men,older individuals,married participants,and those outside health professions(p<0.01).Conversely,healthcare professionals,younger individuals,and those familiar with someone with schizophrenia generally reported less stigma(p<0.01).Conclusion:This study developed and validated a robust multidimensional scale for assessing societal stigma toward schizophrenia.The five-factor model—Workplace Capability,Intimate Relationships,Autonomy,Risk Perception,and Recovery—was empirically supported.Autonomy and Recovery emerged as themost stigmatized domains across the Spanish general population.The scale demonstrated strong psychometric properties and effectively captured stigma patterns linked to key sociodemographic variables.
文摘BACKGROUND Post-endoscopic retrograde cholangiopancreatography(ERCP)pancreatitis is a common complication of the procedure.The effective prevention of post-ERCP pancreatitis(PEP)remains a key focus of clinical research.AIM To develop a prediction model for PEP based on multidimensional clinical indicators and evaluate its clinical application value.METHODS We retrospectively analyzed 183 patients with biliary tract diseases who underwent ERCP at Xuzhou Medical University from January 2020 to June 2023,divided into non-PEP(n=159)and PEP(n=24)groups based on PEP development.Baseline and intraoperative data were compared,and PEP-related factors examined via univariate and multivariate logistic regression.Using R,70%of patients were assigned to training and 30%to testing sets for PEP prediction model development.Model accuracy was evaluated using a calibration curve and receiver operating characteristic(ROC)area under the curve(AUC).RESULTS Age,total cholesterol level,history of pancreatitis,pancreatic ductography,bleeding,and intubation time differed significantly between the two groups when baseline data and intraoperative conditions were compared(P<0.05).Multifactorial logistic regression analysis demonstrated that age[odds ratio(OR)=0.192,95%confidence interval(CI):0.053-0.698],total cholesterol(OR=0.324,95%CI:0.152-0.694),history of pancreatitis(OR=6.159,95%CI:1.770-21.434),pancreatography(OR=3.726,95%CI:1.028-13.507),and bleeding(OR=3.059,95%CI:1.001-9.349)were independently associated with acute pancreatitis after ERCP.The predictive probabilities from the calibration curves had mean errors of 0.021 and 0.030,with ROC AUCs of 0.840 and 0.797 in the training and test sets,respectively.CONCLUSION Age,total cholesterol,pancreatitis history,pancreatic ductography,and bleeding influence the risk of acute PEP.A model incorporating these factors may aid early detection and intervention.
基金supported by grants from the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA20050201)the National Natural Science Foundation of China (31861143023,31872250 and 31872252)。
文摘Global framework for nature management requires identifying areas of high priority for biodiversity conservation and restoration.The unique environments of Qinghai-Xizang Plateau(QXP) provide irreplaceable habitats for biodiversity which is prominent under future climate change.Despite the recent increase in research interest on conservation priorities,there is a lack of comprehensive and targeted protection strategies for pandemic species under climate change.Here,we compiled an exhaustive dataset with the variables of extinction risk and occurrence records of ectothermic lizards to investigate the conservation priorities in the QXP.We assessed the conservation status of the QXP lizards and identified the priority protected areas within the QXP under future climate scenarios using phylogenetic generalized least squares and ensemble species distribution models.Our analyses suggested nine lizard species to be prioritized for protection,with the most critical priority species being Dopasia gracilis,D.harti,and Phrynocephalus putjatai.Moreover,the priority protected areas covered~4.7%area of the QXP,mostly in the southern QXP and southeastern Hengduan Mountains.Protecting these regions would achieve a conservation effectiveness of≥95%for species richness,phylogenetic and functionaldiversity under climate change.Our findings provide realistic guidance for improving the conservation effectiveness of specific-lizard and-regions in the QXP under climate change.Our“bottom-up”approach could help the conservation efforts of other regions and species as an alternative to“top-down”global maps.
基金supported by the National Natural Science Foundation of China(Grant No.72304169)Natural Science Foundation of Shandong Province(Grant No.ZR2023QG113)+1 种基金Youth Innovation Teams in Higher Education Institutions of Shandong Province(Grant No.2023RW007)the Fundamental Research Funds of Shandong University(Grant No.23RWZX29).
文摘Purpose:To explore how different types of research funding affect research papers,with implications for optimizing funding policies and promoting sustainable research development.Design/methodology/approach:We used social network analysis and citation analysis to compare the influence of funded and non-funded papers,as well as among different funding types.Multidimensional scaling and cohesive subgroup analysis revealed thematic differences.Findings:Funded papers do not always show higher academic influence than non-funded ones,but multifunded papers perform better than single-funded ones.Papers funded by international institutions and HKMT have a greater impact on the international academic community.Funded papers emphasize innovation and interdisciplinarity;non-funded papers focus more on classical theory application.Research limitations:This study used only the WoS Core Collection,potentially missing other funding sources.Practical implications:The findings inform the refinement of funding policies and support strategies that encourage impactful and innovative research.Originality/value:This study offers a multi-level empirical analysis of how funding shapes research influence and thematic trends.
基金supported by the Second Tibetan Plateau Scientific Expedition and Research(STEP)program(2019QZKK0502)the National Natural Science Foundation of China(32322006)+1 种基金the Major Program for Basic Research Project of Yunnan Province(202103AF140005 and 202101BC070002)the Practice Innovation Fund for Professional Degree Graduates of Yunnan University(ZC-22222401).
文摘The study of plant diversity is often hindered by the challenge of integrating data from different sources and different data types.A standardized data system would facilitate detailed exploration of plant distribution patterns and dynamics for botanists,ecologists,conservation biologists,and biogeographers.This study proposes a gridded vector data integration method,combining grid-based techniques with vectorization to integrate diverse data types from multiple sources into grids of the same scale.Here we demonstrate the methodology by creating a comprehensive 1°×1°database of western China that includes plant distribution information and environmental factor data.This approach addresses the need for a standardized data system to facilitate exploration of plant distribution patterns and dynamic changes in the region.
文摘Indian Railways have been the largest people moving transport infrastructure in India.Over the years the systems and trains have been upgraded resulting in both better passenger amenities and reduction in travel time.The newest addition is the Vande Bharat Express,a semi-high-speed train that was introduced in India in 2019.The train currently runs between 10 routes and has brought significant changes to India’s railway network.This article explores the introduction of Vande Bharat Express trains in India and its effects on the country’s interstation time-space shrinkage using cartographic techniques.The cartographic techniques like stepwise multidimensional scaling and interpolation using the distance cartogram plugin in QGIS are mainly used for generating the time-space maps for various speeds.The limitations of these techniques and the methods to overcome those limitations are also explored in this article.
基金supported by the National Natural Science Foundation of China(Grant Nos.62422503,62105080,22004016,and U22A2093)the Guangdong Basic and Applied Basic Research Foundation Regional Joint Fund(Grant Nos.2023A1515011944,2020B1515130006,and 2021B515120056)+1 种基金the Talent Recruitment Project of Guangdong(Grant No.2021QN02X179)the Science and Technology Innovation Commission of Shenzhen(Grant Nos.JCYJ20220531095604009 and RCYX20221008092907027).
文摘Confronting the escalating global challenge of counterfeit products,developing advanced anticounterfeiting materials and structures with physical unclonable functions(PUFs)has become imperative.All-optical PUFs,distinguished by their high output complexity and expansive response space,offer a promising alternative to conventional electronic counterparts.For practical authentications,the expansion of optical PUF keys usually involves intricate spatial or spectral shaping of excitation light using bulky external apparatus,which largely hinders the applications of optical PUFs.Here,we report a plasmonic PUF system based on heterogeneous nanostructures.The template-assisted shadow deposition technique was employed to adjust the morphological diversity of densely packed metal nanoparticles in individual PUFs.Transmission images were processed via a hash algorithm,and the generated PUF keys with a scalable capacity from 2875 to 243401 exhibit excellent uniqueness,randomness,and reproducibility.Furthermore,the wavelength and the polarization state of the excitation light are harnessed as two distinct expanding strategies,offering the potential for multiscenario applications via a single PUF.Overall,our reported plasmonic PUFs operated with the multidimensional expanding strategy are envisaged to serve as easy-to-integrate,easy-to-use systems and promise efficacy across a broad spectrum of applications,from anticounterfeiting to data encryption and authentication.
文摘BACKGROUND According to the Global Cancer Statistics Report,the incidence of colorectal cancer ranks third and the mortality rate ranks second worldwide among malignant tumors.AIM To explore the effects of Nursing Outcomes Classification(NOC)-based multidimensional nursing on self-efficacy and symptom relief in patients with low anterior resection syndrome(LARS)following sphincter-preserving surgery.METHODS This observational study enrolled 120 patients with LARS after sphincterpreserving surgery for low rectal cancer admitted to our hospital between January 2022 and December 2024.The patients were randomly divided into a control group(n=60)that received routine nursing intervention or an observation group(n=60)that received multidimensional nursing intervention.Before and after the intervention,the Chinese version of the Self-Management Efficacy Scale for Cancer Patients(SUPPH),the LARS scoring scale,and the European Organization for Research and Treatment of Cancer Quality of Life Core Scale(EORTC QLQC30)were used to evaluate the self-efficacy,symptom relief,and quality of life of the two patient groups,and the nursing satisfaction was compared between the groups.RESULTS After the intervention,both groups showed increased scores for each item on the SUPPH and EORTC QLQ-C30 scales compared with those before the intervention,whereas the LARS score showed a decreasing trend.Compared with the control group,the scores for each item of the SUPPH and EORTC QLQ-C30 scales in the observation group were significantly higher after the intervention,while the LARS score was significantly lower(all P<0.05).Nursing satisfaction was significantly higher in the observation group than in the control group(83.33%vs 95.00%,P<0.05).CONCLUSION Multidimensional NOC-based nursing improves self-efficacy,symptoms,quality of life,and satisfaction in patients with LARS.However,further research is needed to assess its long-term and comparative effectiveness.
基金support from the National Natural Science Foundation of China(No.22405048)the startup funds from Fuzhou University。
文摘This review delves into the emerging field of multidimensional catalysis,with a particular focus on the regulation of electrocatalysis by external magnetic fields.It outlines the significance of electrocatalysis in clean energy conversion and storage,and how magnetic fields can enhance the efficiency,selectivity,and stability of electrocatalytic reactions through various mechanisms such as Lorentz force,magnetocaloric effects,and spin selectivity.The review also discusses the historical evolution of catalysis research from one-dimensional to multidimensional and highlights the role of magnetic fields in catalyst synthesis,mass transfer,electron transfer,and reaction kinetics.Furthermore,it summarizes key applications of magnetic fields in different electrocatalytic reactions,supported by theoretical calculations that provide insights into the microscopic mechanisms.This comprehensive overview not only offers a theoretical and experimental foundation for the development of new electrocatalysts but also paves the way for more efficient and sustainable electrocatalytic technologies,marking a significant step toward the advancement of clean energy solutions.
文摘The development of chemical technologies,which involves a multistage process covering laboratory research,scale‐up to industrial deployment,and necessitates interdisciplinary collaboration,is often accompanied by substantial time and economic costs.To address these challenges,in this work,we report ChemELLM,a domain‐specific large language model(LLM)with 70 billion parameters for chemical engineering.ChemELLM demonstrates state‐of‐the‐art performance across critical tasks ranging from foundational understanding to professional problem‐solving.It outperforms mainstream LLMs(e.g.,O1‐Preview,GPT‐4o,and DeepSeek‐R1)on ChemEBench,the first multidimensional benchmark for chemical engineering,which encompasses 15 dimensions across 101 distinct essential tasks.To support robust model development,we curated ChemEData,a purpose‐built dataset containing 19 billion tokens for pre‐training and 1 billion tokens for fine‐tuning.This work establishes a new paradigm for artificial intelligence‐driven innovation,bridging the gap between laboratory‐scale innovation and industrial‐scale implementation,thus accelerating technological advancement in chemical engineering.ChemELLM is publicly available at https://chemindustry.iflytek.com/chat.
基金Research Project of Humanities and Social Sciences by the Ministry of Education:Exploration on the Reshaping of High-Quality Technical and Skilled Talent Cultivation System for the Development of Emerging Productive Forces(24YJA880042)2024 Vocational Education Theory and Practice Research Support Project Funded by the National Center for Vocational Education Development,Ministry of Education:Research on the Multidimensional Portrayal and Innovative Training Paths of Highly Skilled Talents from the Perspective of New Quality Productivity(JZYY25010)+1 种基金Shanghai Education Scientific Research Project“Special Project of Philosophy and Social Sciences in Universities and Colleges”:Exploration on the Cultivation Path of Integrating the“Scientist Spirit”into the“Three-Dimensional Education”System in Higher Vocational Colleges(2024ZSD023)Research Startup Funding Projects for High-Level and Scarce Talents in Shanghai Electronic and Information Vocational College of Technology(GCC2024016 and GCC2023013)。
文摘Against the backdrop of new quality productivity driving high-quality economic development,this paper examines how technological innovation,digital transformation,and green development reshape the competencies and training models of highly skilled talent.It analyzes multidimensional characteristics,including knowledge structure,innovation awareness,digital literacy,and cross-boundary collaboration,revealing a shift towards“innovative,composite,and intelligent”profiles.The study identifies misalignments in current vocational education,such as outdated curricula and insufficient industry-education integration.It proposes innovative training paths,including deep industry-education collaboration,digital-intelligent teaching,and lifelong learning ecosystems.Case studies validate the feasibility of aligning talent development with new quality productivity demands.
基金2023 Higher Education Teaching Research and Reform Project of Southwest Medical University(Project No.:JG2023jdyb033)。
文摘Objective:To explore the effect of implementing the case-based three-dimensional teaching method guided by evidence-based thinking in the teaching of trainee nurses in the rehabilitation department.Method:Eighty nursing practice nurses who were conducting clinical practice learning in the Rehabilitation Department of Deyang People’s Hospital from June 2024 to May 2025 were selected as the research subjects.By using the controlled grouping method,the practice nurses from June 2024 to November 2024 were taken as the control group(n=40).The period from December 2024 to May 2025 was taken as the experimental group(n=40 students),the control group was taught by traditional teaching methods,and the experimental group was taught by evidence-based nursing combined with case teaching method.The clinical thinking ability,autonomous learning ability,exit assessment scores and teaching satisfaction of the two groups of intern nurses at the time of leaving the department were compared.Results:At the time of leaving the department,the scores of each dimension and the total score of clinical thinking ability of the intern nurses in the experimental group were higher than those in the control group(t=9.268,6.354,6.199)9.694,all p<0.05).At the time of leaving the department the scores of each dimension and the total score of the autonomous learning ability of the intern nurses in the experimental group were higher than those in the control group(t=6.998,7.333,5.503,5.977,22.244)all p<0.05).At the time of leaving the department the theoretical assessment scores and operational assessment scores of the experimental group were both higher than those of the control group(t=14.546,11.676,all p<0.05).At the time of graduation,the teaching satisfaction of the experimental group was higher than that of the control group(χ^(2)=7.314,p<0.05.Conclusion:The adoption of the case-based three-dimensional teaching.Rehabilitation method guided by the evidence-based ideology during the teaching process can effectively improve the clinical thinking ability,autonomous learning ability,departmental assessment results and teaching satisfaction of the intern nurses in the rehabilitation department,which is worthy of reference.
基金Supported by the National Natural Science Foundation of China(12271154)the Natural Science Foundation of Hunan Province(2022JJ30234)the Postgraduate Scientific Research Innovation Project of Hunan Province(CX20231032)。
文摘The zero coprime system equivalence is one of important research in the theory of multidimensional system equivalence,and is closely related to zero coprime equivalence of multivariate polynomial matrices.We first discuss the relation between zero coprime equivalence and unimodular equivalence for polynomial matrices.Then,we investigate the zero coprime equivalence problem for several classes of polynomial matrices,some novel findings and criteria on reducing these matrices to their Smith normal forms are obtained.Finally,an example is provided to illustrate the main results.
基金supported by the National Natural Science Foundation of China(Grant Nos.52005059 and 52375306)the Open Foundation of the Key Laboratory of Advanced Marine Materials(Grant No.2024K01)the Graduate Research and Innovation Foundation of Chongqing,China(Grant No.CYB240011)。
文摘Ink-jetting printing stands out among various conformal additive manufacturing techniques for its multi-material,digital control,and process flexibility.Ink-jetting-based conformal additive manufacturing is renowned for its adaptability to complex topological surfaces and is emerging as a critical technology for future comprehensive conformal printing systems.This review highlights the distinctiveness of four primary ink-jetting printing techniques in conformal additive manufacturing—piezoelectric jetting,thermal bubble jetting,aerosol jetting,and electrohydrodynamic jetting—and delves into how these attributes endow ink-jetting printing with unique advantages in conformal processes.Furthermore,leveraging these advantages,the review discusses potential applications in conformal electronics,energy devices,biology,and electromagnetics to bolster the ongoing development and application.Considering the current state of this technology,the review identifies critical challenges for future advancements,such as dynamic surface printing,integrated fabrication of multifunctional conformal structures,and the balance between resolution and throughput.This review summarizes the latest research and technological advancements in ink-jetting-based conformal additive manufacturing,aiding in its innovative applications and enhanced manufacturing capabilities in the future.
基金the National Key R&D Program of China(2021YFA1401200)Beijing Outstanding Young Scientist Program(BJJWZYJH01201910007022)+2 种基金National Natural Science Foundation of China(No.U21A20140,No.92050117)programBeijing Nova Program(No.20250484994)Beijing Natural Science Foundation(JQ24028).
文摘Spectral and polarization information are crucial for characterizing the composition and surface morphology of various materials.However,traditional spectral and polarization detection systems are hampered by bulky,single-function optical components and complex configurations,hindering the portable,low-cost,and multifunctional applications in compact,field-deployable devices.In this study,we introduce a miniaturized near-infrared(NIR)spectro-polarimetric detection device utilizing a group of meta-spectro-polarimeters(MSPs),which support quasi-bound states in the continuum(QBIC)under specific incident polarization,significantly reducing the spatial footprint and improving the design scalability.By precisely adjusting the high quality resonances and polarization sensitive radiation behavior of MSPs,we not only extend the number of spectral waveband to 20 that greatly surpassing traditional division-of-amplitude or division-of-time schemes,but also ensure an average spectral resolution power(SRP,λ/Δλ)of 71.03.We achieve high accuracy multidimensional spectro-polarization detection,resulting in the angle of linear polarization(AoLP)with an average error of 4.67°and precise spectrum reconstruction in a machine-learning free way,avoiding the huge computational power and energy during the training process.Additionally,we demonstrate the high spectro-polarimetric imaging performance of our system in different experimental scene.Such multidimensional detection device holds great promise for adoption in fields like aerospace,chemical detection,machine vision,and so on.
