Multidimensional confined structure systems are proposed and demonstrated by using MoO_(2)@MO_(2)C(MMC)to enhance the photothermal catalytic performance of the metal sulfides-multidimensional confined structure(TMs-MD...Multidimensional confined structure systems are proposed and demonstrated by using MoO_(2)@MO_(2)C(MMC)to enhance the photothermal catalytic performance of the metal sulfides-multidimensional confined structure(TMs-MDCS).Specifically,the MMC nanoparticles confined to the surface of the ZnIn_(2)S_(4)hollow tube-shell(MMC/HT-ZIS)achieve a hydrogen evolution rate of 9.72 mmol g^(-1)h^(-1),which is 11.2 times higher than that of pure HT-ZIS.Meanwhile,the MnCdS(MCS)nanoparticles are encapsulated within the two-dimensional MMC(2D MMC/MCS)through precise regulation of size and morphology.The 10-MMC/MCS lamellar network demonstrates the highest hydrogen evolution rate of 8.19 mmol g^(-1)-h^(-1).The obtained MMC/TMs-MDCS catalysts exhibit an enhanced photocatalytic hydrogen evolution rate,which can be attributed to the strong synergistic interaction between the multidimensional confinement and the photothermal effects.The confinement space and the strong interfacial relationship within the MMC/TMs-MDCS create abundant channels and active sites that facilitate electron migration and transport.Furthermore,the construction of a confined environment positions these materials as promising candidates for achieving exceptional photothermal catalytic performance,as MMC/TMs-MDCS enhance light absorption through light scattering and reflecting effects.Additionally,the capacity of MMC/TMsMDCS to convert solar light into thermal energy significantly reduces the activation energy of the reaction,thereby facilitating reaction kinetics and accelerating the separation and transport of photogenerated carriers.This work provides valuable insights for the development of highly efficient photothermal catalytic water-splitting systems for hydrogen production using multidimensional confined catalysts.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
“Multidimensional international world”refers to understanding the world through its multiple dimensions beyond traditional economic or political measures,by fostering cross-cultural collaboration and balancing globa...“Multidimensional international world”refers to understanding the world through its multiple dimensions beyond traditional economic or political measures,by fostering cross-cultural collaboration and balancing global integration with local needs.The paper briefs the developed high-level Spatial Grasp Model and Technology(SGT)which can investigate and manage complex systems with a holistic spatial approach effectively covering different physical and virtual dimensions and their integration as a whole.It then describes basics of multidimensional management system which is currently under development,and provides examples of practical solutions in different dimensions and their combinations in Spatial Grasp Language(SGL),the key element of SGT,with networking representations of the solutions.These include inter-dimensional influence and optimization,finding multidimensional communities,showing multidimensional recovery after disasters,finding dangerous multidimensional groupings,isolated multidimensional components,as well as interaction of physical and virtual dimensions.Different versions of SGT were tested on numerous applications and in different countries,and its latest version,especially suitable for multidimensional management,can be quickly implemented on any existing software or hardware platforms an integrated with advanced communication systems.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
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
Driven by the global energy structure transformation,aqueous zinc ion batteries(AZIBs)have become a research hotspot due to their advantages of abundant resources,low cost,safety,and environmental protection.However,t...Driven by the global energy structure transformation,aqueous zinc ion batteries(AZIBs)have become a research hotspot due to their advantages of abundant resources,low cost,safety,and environmental protection.However,the unstable structure of cathodes,the dendrite growth and side reactions of Zn anode,and low ion conduction efficiency have seriously hindered the industrialization process of AZIBs.Metalorganic frameworks(MOFs)have the advantages of a large specific surface area,adjustable porosity,and multi-metal active sites,which provide a new strategy to overcome these difficulties.Therefore,a comprehensive review of the application advantages and mechanism of original MOFs and their derivatives in AZIBs is of great significance to promote the development of this field.This article firstly describes the various structural types of original MOFs and points out their characteristics.Subsequently,we discuss the specific applications of MOFs and their derivatives in AZIBs,such as cathodes,anode protective layers,separators,and electrolytes,and analyze the advantages and mechanisms of various materials in enhancing battery performance.Finally,the problems existing in the application of original MOFs and their derivatives in AZIBs are illustrated,and the future research directions are prospected to provide theoretical guidance for the design of high-performance AZIBs.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
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
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
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
The active ingredients found in medicinal plants,which are specialized secondary metabolites accumulated during specific growth stages and localized withinparticular tissues,serve as the foundational material for thei...The active ingredients found in medicinal plants,which are specialized secondary metabolites accumulated during specific growth stages and localized withinparticular tissues,serve as the foundational material for their pharmacological effects.展开更多
“Multidimensional international world”refers to understanding the world through multiple dimensions beyond traditional economic or political measures,fostering cross-cultural collaboration,and creating systems that ...“Multidimensional international world”refers to understanding the world through multiple dimensions beyond traditional economic or political measures,fostering cross-cultural collaboration,and creating systems that balance global integration with local needs.This also includes management of global business operations across diverse cultures in a multipolar international landscape.The paper briefs the developed and already tested in numerous applications high-level Spatial Grasp Model and Technology(SGT),which can help investigate and manage complex systems with a holistic spatial approach effectively covering various physical and virtual dimensions,their interrelations,and integration as a whole.Different areas will be investigated with examples of practical solutions in them and their combinations in a high-level Spatial Grasp Language(SGL),the key element of SGT.This allows for the creation and distributed management of very large spatial networks with different orientation which can be self-spreading,self-analyzing,self-modifying,and self-recovering in complex terrestrial and celestial environments,and also organize dynamic multi-networking solutions supporting global evolution and integrity.展开更多
This study integrates multiple sources of data(transaction data,policy text,public opinion data)with visualization techniques(such as heat maps,time-series trend charts,3D building brochures)to construct an analysis f...This study integrates multiple sources of data(transaction data,policy text,public opinion data)with visualization techniques(such as heat maps,time-series trend charts,3D building brochures)to construct an analysis framework for the Chengdu real estate market.By using the Adaptive Neuro-Fuzzy Inference System(ANFIS)prediction model,spatial GIS(Geographic Information System analysis)analysis,and interactive dashboards,this study reveals market differentiation,policy impacts,and changes in demand structure,thereby providing decision support for the government,enterprises,and homebuyers.展开更多
To address the issue of instability or even imbalance in the orientation and attitude control of quadrotor unmanned aerial vehicles(QUAVs)under random disturbances,this paper proposes a distributed antidisturbance dat...To address the issue of instability or even imbalance in the orientation and attitude control of quadrotor unmanned aerial vehicles(QUAVs)under random disturbances,this paper proposes a distributed antidisturbance data-driven event-triggered fusion control method,which achieves efficient fault diagnosis while suppressing random disturbances and mitigating communication conflicts within the QUAV swarm.First,the impact of random disturbances on the UAV swarm is analyzed,and a model for orientation and attitude control of QUAVs under stochastic perturbations is established,with the disturbance gain threshold determined.Second,a fault diagnosis system based on a high-gain observer is designed,constructing a fault gain criterion by integrating orientation and attitude information from QUAVs.Subsequently,a model-free dynamic linearization-based data modeling(MFDLDM)framework is developed using model-free adaptive control,which efficiently fits the nonlinear control model of the QUAV swarm while reducing temporal constraints on control data.On this basis,this paper constructs a distributed data-driven event-triggered controller based on the staggered communication mechanism,which consists of an equivalent QUAV controller and an event-triggered controller,and is able to reduce the communication conflicts while suppressing the influence of random interference.Finally,by incorporating random disturbances into the controller,comparative experiments and physical validations are conducted on the QUAV platforms,fully demonstrating the strong adaptability and robustness of the proposed distributed event-triggered fault-tolerant control system.展开更多
Wetting deformation in earth-rockfill dams is a critical factor influencingdam safety.Although numerous mathematical models have been developed to describe this phenomenon,most of them rely on empirical formulations a...Wetting deformation in earth-rockfill dams is a critical factor influencingdam safety.Although numerous mathematical models have been developed to describe this phenomenon,most of them rely on empirical formulations and lack prior knowledge of model parameters,which is essential for Bayesian parameter inversion to enhance accuracy and reduce uncertainty.This study introduces a datadriven approach to establishing prior knowledge of earth-rockfill dams.Driving factors are utilized to determine the potential range of model parameters,and settlement changes within this range are calculated.The results are iteratively compared with actual monitoring data until the calculated range encompasses the observed data,thereby providing prior knowledge of the model parameters.The proposed method is applied to the right-bank earth-rockfilldam of Danjiangkou.Employing a Gibbs sample size of 30,000,the proposed method effectively calibrates the prior knowledge of the wetting model parameters,achieving a root mean square error(RMSE)of 5.18 mm for the settlement predictions.By comparison,the use of non-informative priors with sample sizes of 30,000 and 50,000 results in significantly larger RMSE values of 11.97 mm and 16.07 mm,respectively.Furthermore,the computational efficiencyof the proposed method is demonstrated by an inversion computation time of 902 s for 30,000 samples,which is notably shorter than the 1026 s and 1558 s required for noninformative priors with 30,000 and 50,000 samples,respectively.These findingsunderscore the superior performance of the proposed approach in terms of both prediction accuracy and computational efficiency.These results demonstrate that the proposed method not only improves the predictive accuracy but also enhances the computational efficiency,enabling optimal parameter identificationwith reduced computational effort.This approach provides a robust and efficientframework for advancing dam safety assessments.展开更多
As multi-discipline coupling and components interference often affect the aircraft configuration decision-making and analysis during conceptual design process, this article presents an approach of multidimensional gam...As multi-discipline coupling and components interference often affect the aircraft configuration decision-making and analysis during conceptual design process, this article presents an approach of multidimensional game theory based on aircraft compo- nents to deal with this problem. The idea is that the configuration decision-making process is regarded as the game for different disciplines and technologies, and the aircraft components are players. The payoff function with highest total gain means that ac- cording to the game protocols and multidimensional theory, the optimal aircraft configuration within the strategy set will be cho- sen. The decision-making model is applied to conceptual design process of the high altitude long endurance （HALE） unmanned aerial vehicle （UAV） based on the assessment of technological risk. The obtained optimum configuration is quite consistent with the current HALE UAV development trends. Thus, taking into account the coupling and interference factors, the multidimensional gaming model based on aircraft components will be an effective analysis method in the decision-making process of aircraft optimum configuration.展开更多
Many variables affect the sealing performance, and their distribution characteristics are difficult to obtain with probabilistic methods owing to the high cost involved. Numerous problems in engineering are similar du...Many variables affect the sealing performance, and their distribution characteristics are difficult to obtain with probabilistic methods owing to the high cost involved. Numerous problems in engineering are similar due to the appearance of small-sample parameters. In this study, the sealing reliability of an aviation seal was defined as the research object, and an interval uncertainty method and multidimensional response surface were proposed to calculate the sealing reliability.Based on this, we first analyzed the failure mechanism of the aviation seal and established a leakage rate model. Then, based on the non-probabilistic interval model, an interval uncertainty method was proposed to construct the analytical model. With reference to the limit state equation from the structural reliability theory, the multidimensional response surface was used for fast calculation.Then, we chose the single-cylinder gas steering gear used in aircraft as the case study, its sealing reliability in working and non-working statuses were calculated, and the results were verified with the actual maintenance records. By analyzing the sensitivity of some variables, we can improve the sealing reliability of the aviation seal by improving the surface roughness only if the cost allows.Finally, we consider that the method proposed in this study realizes the application of smallsample uncertainty analysis in reliability analysis, and could provide a feasible way to solve the similar problems in engineering with multidimensional and small-sample parameters.展开更多
基金supported by the Postgraduate Education Reform Project of Shandong Province(SDYAL2023032)the National Key Research and Development Program(2021YFB3500102)。
文摘Multidimensional confined structure systems are proposed and demonstrated by using MoO_(2)@MO_(2)C(MMC)to enhance the photothermal catalytic performance of the metal sulfides-multidimensional confined structure(TMs-MDCS).Specifically,the MMC nanoparticles confined to the surface of the ZnIn_(2)S_(4)hollow tube-shell(MMC/HT-ZIS)achieve a hydrogen evolution rate of 9.72 mmol g^(-1)h^(-1),which is 11.2 times higher than that of pure HT-ZIS.Meanwhile,the MnCdS(MCS)nanoparticles are encapsulated within the two-dimensional MMC(2D MMC/MCS)through precise regulation of size and morphology.The 10-MMC/MCS lamellar network demonstrates the highest hydrogen evolution rate of 8.19 mmol g^(-1)-h^(-1).The obtained MMC/TMs-MDCS catalysts exhibit an enhanced photocatalytic hydrogen evolution rate,which can be attributed to the strong synergistic interaction between the multidimensional confinement and the photothermal effects.The confinement space and the strong interfacial relationship within the MMC/TMs-MDCS create abundant channels and active sites that facilitate electron migration and transport.Furthermore,the construction of a confined environment positions these materials as promising candidates for achieving exceptional photothermal catalytic performance,as MMC/TMs-MDCS enhance light absorption through light scattering and reflecting effects.Additionally,the capacity of MMC/TMsMDCS to convert solar light into thermal energy significantly reduces the activation energy of the reaction,thereby facilitating reaction kinetics and accelerating the separation and transport of photogenerated carriers.This work provides valuable insights for the development of highly efficient photothermal catalytic water-splitting systems for hydrogen production using multidimensional confined catalysts.
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.
文摘“Multidimensional international world”refers to understanding the world through its multiple dimensions beyond traditional economic or political measures,by fostering cross-cultural collaboration and balancing global integration with local needs.The paper briefs the developed high-level Spatial Grasp Model and Technology(SGT)which can investigate and manage complex systems with a holistic spatial approach effectively covering different physical and virtual dimensions and their integration as a whole.It then describes basics of multidimensional management system which is currently under development,and provides examples of practical solutions in different dimensions and their combinations in Spatial Grasp Language(SGL),the key element of SGT,with networking representations of the solutions.These include inter-dimensional influence and optimization,finding multidimensional communities,showing multidimensional recovery after disasters,finding dangerous multidimensional groupings,isolated multidimensional components,as well as interaction of physical and virtual dimensions.Different versions of SGT were tested on numerous applications and in different countries,and its latest version,especially suitable for multidimensional management,can be quickly implemented on any existing software or hardware platforms an integrated with advanced communication systems.
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 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.
基金supported by the National Natural Science Foundation of China(no.52374301,92472104)the Natural Science Foundation of Hebei Province(no.E2024501010)+2 种基金the Shijiazhuang Basic Research Project(no.241790667A)the Performance Subsidy Fund for Key Laboratory of Dielectric and Electrolyte Functional Material Hebei Province(no.22567627H)the Key Project of 2025 China International Student Innovation Competition of Northeastern University at Qinhuangdao(no.ZD202512)。
文摘Driven by the global energy structure transformation,aqueous zinc ion batteries(AZIBs)have become a research hotspot due to their advantages of abundant resources,low cost,safety,and environmental protection.However,the unstable structure of cathodes,the dendrite growth and side reactions of Zn anode,and low ion conduction efficiency have seriously hindered the industrialization process of AZIBs.Metalorganic frameworks(MOFs)have the advantages of a large specific surface area,adjustable porosity,and multi-metal active sites,which provide a new strategy to overcome these difficulties.Therefore,a comprehensive review of the application advantages and mechanism of original MOFs and their derivatives in AZIBs is of great significance to promote the development of this field.This article firstly describes the various structural types of original MOFs and points out their characteristics.Subsequently,we discuss the specific applications of MOFs and their derivatives in AZIBs,such as cathodes,anode protective layers,separators,and electrolytes,and analyze the advantages and mechanisms of various materials in enhancing battery performance.Finally,the problems existing in the application of original MOFs and their derivatives in AZIBs are illustrated,and the future research directions are prospected to provide theoretical guidance for the design of high-performance AZIBs.
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.
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.
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.
文摘The active ingredients found in medicinal plants,which are specialized secondary metabolites accumulated during specific growth stages and localized withinparticular tissues,serve as the foundational material for their pharmacological effects.
文摘“Multidimensional international world”refers to understanding the world through multiple dimensions beyond traditional economic or political measures,fostering cross-cultural collaboration,and creating systems that balance global integration with local needs.This also includes management of global business operations across diverse cultures in a multipolar international landscape.The paper briefs the developed and already tested in numerous applications high-level Spatial Grasp Model and Technology(SGT),which can help investigate and manage complex systems with a holistic spatial approach effectively covering various physical and virtual dimensions,their interrelations,and integration as a whole.Different areas will be investigated with examples of practical solutions in them and their combinations in a high-level Spatial Grasp Language(SGL),the key element of SGT.This allows for the creation and distributed management of very large spatial networks with different orientation which can be self-spreading,self-analyzing,self-modifying,and self-recovering in complex terrestrial and celestial environments,and also organize dynamic multi-networking solutions supporting global evolution and integrity.
基金Chengdu City Philosophy and Social Sciences Research Center“artificial intelligence+urban communication”theory and Application Research Center Project“Chengdu real estate vertical market public opinion data visualization research”(Project No.RZCC2025017).
文摘This study integrates multiple sources of data(transaction data,policy text,public opinion data)with visualization techniques(such as heat maps,time-series trend charts,3D building brochures)to construct an analysis framework for the Chengdu real estate market.By using the Adaptive Neuro-Fuzzy Inference System(ANFIS)prediction model,spatial GIS(Geographic Information System analysis)analysis,and interactive dashboards,this study reveals market differentiation,policy impacts,and changes in demand structure,thereby providing decision support for the government,enterprises,and homebuyers.
基金supported in part by the National Natural Science Foundation of China,Grant/Award Number:62003267the Key Research and Development Program of Shaanxi Province,Grant/Award Number:2023-GHZD-33Open Project of the State Key Laboratory of Intelligent Game,Grant/Award Number:ZBKF-23-05。
文摘To address the issue of instability or even imbalance in the orientation and attitude control of quadrotor unmanned aerial vehicles(QUAVs)under random disturbances,this paper proposes a distributed antidisturbance data-driven event-triggered fusion control method,which achieves efficient fault diagnosis while suppressing random disturbances and mitigating communication conflicts within the QUAV swarm.First,the impact of random disturbances on the UAV swarm is analyzed,and a model for orientation and attitude control of QUAVs under stochastic perturbations is established,with the disturbance gain threshold determined.Second,a fault diagnosis system based on a high-gain observer is designed,constructing a fault gain criterion by integrating orientation and attitude information from QUAVs.Subsequently,a model-free dynamic linearization-based data modeling(MFDLDM)framework is developed using model-free adaptive control,which efficiently fits the nonlinear control model of the QUAV swarm while reducing temporal constraints on control data.On this basis,this paper constructs a distributed data-driven event-triggered controller based on the staggered communication mechanism,which consists of an equivalent QUAV controller and an event-triggered controller,and is able to reduce the communication conflicts while suppressing the influence of random interference.Finally,by incorporating random disturbances into the controller,comparative experiments and physical validations are conducted on the QUAV platforms,fully demonstrating the strong adaptability and robustness of the proposed distributed event-triggered fault-tolerant control system.
基金supported by the National Key R&D Program of China(Grant No.2023YFC3209504)Natural Science Foundation of Wuhan(Grant No.2024040801020271)the Fundamental Research Funds for Central Public Welfare Research Institutes(Grant No.CKSF2025718/YT).
文摘Wetting deformation in earth-rockfill dams is a critical factor influencingdam safety.Although numerous mathematical models have been developed to describe this phenomenon,most of them rely on empirical formulations and lack prior knowledge of model parameters,which is essential for Bayesian parameter inversion to enhance accuracy and reduce uncertainty.This study introduces a datadriven approach to establishing prior knowledge of earth-rockfill dams.Driving factors are utilized to determine the potential range of model parameters,and settlement changes within this range are calculated.The results are iteratively compared with actual monitoring data until the calculated range encompasses the observed data,thereby providing prior knowledge of the model parameters.The proposed method is applied to the right-bank earth-rockfilldam of Danjiangkou.Employing a Gibbs sample size of 30,000,the proposed method effectively calibrates the prior knowledge of the wetting model parameters,achieving a root mean square error(RMSE)of 5.18 mm for the settlement predictions.By comparison,the use of non-informative priors with sample sizes of 30,000 and 50,000 results in significantly larger RMSE values of 11.97 mm and 16.07 mm,respectively.Furthermore,the computational efficiencyof the proposed method is demonstrated by an inversion computation time of 902 s for 30,000 samples,which is notably shorter than the 1026 s and 1558 s required for noninformative priors with 30,000 and 50,000 samples,respectively.These findingsunderscore the superior performance of the proposed approach in terms of both prediction accuracy and computational efficiency.These results demonstrate that the proposed method not only improves the predictive accuracy but also enhances the computational efficiency,enabling optimal parameter identificationwith reduced computational effort.This approach provides a robust and efficientframework for advancing dam safety assessments.
文摘As multi-discipline coupling and components interference often affect the aircraft configuration decision-making and analysis during conceptual design process, this article presents an approach of multidimensional game theory based on aircraft compo- nents to deal with this problem. The idea is that the configuration decision-making process is regarded as the game for different disciplines and technologies, and the aircraft components are players. The payoff function with highest total gain means that ac- cording to the game protocols and multidimensional theory, the optimal aircraft configuration within the strategy set will be cho- sen. The decision-making model is applied to conceptual design process of the high altitude long endurance （HALE） unmanned aerial vehicle （UAV） based on the assessment of technological risk. The obtained optimum configuration is quite consistent with the current HALE UAV development trends. Thus, taking into account the coupling and interference factors, the multidimensional gaming model based on aircraft components will be an effective analysis method in the decision-making process of aircraft optimum configuration.
基金supported in part from the Fundamental Research Project funded by the Ministry of Industry and Information Technology of the People’s Republic of China
文摘Many variables affect the sealing performance, and their distribution characteristics are difficult to obtain with probabilistic methods owing to the high cost involved. Numerous problems in engineering are similar due to the appearance of small-sample parameters. In this study, the sealing reliability of an aviation seal was defined as the research object, and an interval uncertainty method and multidimensional response surface were proposed to calculate the sealing reliability.Based on this, we first analyzed the failure mechanism of the aviation seal and established a leakage rate model. Then, based on the non-probabilistic interval model, an interval uncertainty method was proposed to construct the analytical model. With reference to the limit state equation from the structural reliability theory, the multidimensional response surface was used for fast calculation.Then, we chose the single-cylinder gas steering gear used in aircraft as the case study, its sealing reliability in working and non-working statuses were calculated, and the results were verified with the actual maintenance records. By analyzing the sensitivity of some variables, we can improve the sealing reliability of the aviation seal by improving the surface roughness only if the cost allows.Finally, we consider that the method proposed in this study realizes the application of smallsample uncertainty analysis in reliability analysis, and could provide a feasible way to solve the similar problems in engineering with multidimensional and small-sample parameters.
