Modelling non-planar perovskite solar cells(PSCs)in 1D is very challenging due to strong interfacial and geometric interactions.This affects especially mesoporous,structured tandem,phase segregated and bulk heterojunc...Modelling non-planar perovskite solar cells(PSCs)in 1D is very challenging due to strong interfacial and geometric interactions.This affects especially mesoporous,structured tandem,phase segregated and bulk heterojunction solar cells.We present ChargeFabrica,an open-source,two-dimensional electro-ionic drift-diffusion simulation tool designed to address these challenges by simultaneously solving the coupled electronic and ionic transport equations across complex device geometries.Using ChargeFabrica,we successfully replicate experimentally observed thickness-dependent trends in current-voltage(JV)curves,the influence of ionic prebiasing and associated EQE,which cannot be fully captured by conventional one-dimensional models.By incorporating realistic device morphologies and experimentally demonstrated defect densities,the simulator accurately predicts performance losses,field inversion effects,and the impact of geometric and interfacial properties.ChargeFabrica thus provides a robust platform for understanding and optimizing the interplay between ion migration and charge collection in mesoporous PSCs and will aid future development of perovskite device architectures.展开更多
Objective This study examined the associations between multidimensional body composition modalities and brain aging in Chinese adults.Methods Brain age was estimated using ridge regression based on 24 head computed to...Objective This study examined the associations between multidimensional body composition modalities and brain aging in Chinese adults.Methods Brain age was estimated using ridge regression based on 24 head computed tomographyderived neuroanatomical indicators in a Chinese cohort(n=557).Brain age gap(BAG),the deviation between the predicted brain age and chronological age(CA),was categorized into brain age acceleration(BAG>0)and deceleration(BAG<0)groups.Principal component analysis of 22 correlationindependent body composition indicators identified different body composition modalities.Logistic regression was used to examine the associations between these modalities and the BAG groups.Results The mean absolute error of brain age in predicting CA was 6.41 years.Three body composition modalities were identified:fat mass dominant(characterized by high loading coefficients of body fat mass,fat mass index,visceral fat level,and fat-to-lean mass ratio);fat-free mass dominant;and trunkleg contrast distribution.The fat mass dominant modality was significantly associated with brain age acceleration(odds ratio[OR]=1.40,95%confidence interval[CI]:1.15‒1.71),and the association was robust in sensitivity analyses.Conclusion The fat mass dominant modality was significantly associated with accelerated brain aging.This study suggests integrating deep body composition indicators into clinical and community health screening could aid in targeted prevention of brain aging.展开更多
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 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
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
This paper proposes a new step-by-step Chebyshev space-time spectral method to analyze the force vibration of functionally graded material structures.Although traditional space-time spectral methods can reduce the acc...This paper proposes a new step-by-step Chebyshev space-time spectral method to analyze the force vibration of functionally graded material structures.Although traditional space-time spectral methods can reduce the accuracy mismatch between tem-poral low-order finite difference and spatial high-order discre tization,the ir time collocation points must increase dramatically to solve highly oscillatory solutions of structural vibration,which results in a surge in computing time and a decrease in accuracy.To address this problem,we introduced the step-by-step idea in the space-time spectral method.The Chebyshev polynomials and Lagrange's equation were applied to derive discrete spatial goverming equations,and a matrix projection method was used to map the calculation results of prev ious steps as the initial conditions of the subsequent steps.A series of numerical experiments were carried out.The results of the proposed method were compared with those obtained by traditional space-time spectral methods,which showed that higher accuracy could be achieved in a shorter computation time than the latter in highly oscillatory cases.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
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
Existing orthogonal space-time block coding(OSTBC)schemes for backscatter communication systems cannot achieve a full transmission code rate when the tag is equipped with more than two antennas.In this paper,we propos...Existing orthogonal space-time block coding(OSTBC)schemes for backscatter communication systems cannot achieve a full transmission code rate when the tag is equipped with more than two antennas.In this paper,we propose a quasi-orthogonal spacetime block code(QOSTBC)that can achieve a full transmission code rate for backscatter communication systems with a four-antenna tag and then extend the scheme to support tags with 2i antennas.Specifically,we first present the system model for the backscatter system.Next,we propose the QOSTBC scheme to encode the tag signals.Then,we provide the corresponding maximum likelihood detection algorithms to recover the tag signals.Finally,simulation results are provided to demonstrate that our proposed QOSTBC scheme and the detection algorithm can achieve a better transmission code rate or symbol error rate performance for backscatter communication systems compared with benchmark schemes.展开更多
In this paper,we propose a hybrid decode-and-forward and soft information relaying(HDFSIR)strategy to mitigate error propagation in coded cooperative communications.In the HDFSIR approach,the relay operates in decode-...In this paper,we propose a hybrid decode-and-forward and soft information relaying(HDFSIR)strategy to mitigate error propagation in coded cooperative communications.In the HDFSIR approach,the relay operates in decode-and-forward(DF)mode when it successfully decodes the received message;otherwise,it switches to soft information relaying(SIR)mode.The benefits of the DF and SIR forwarding strategies are combined to achieve better performance than deploying the DF or SIR strategy alone.Closed-form expressions for the outage probability and symbol error rate(SER)are derived for coded cooperative communication with HDFSIR and energy-harvesting relays.Additionally,we introduce a novel normalized log-likelihood-ratio based soft estimation symbol(NL-SES)mapping technique,which enhances soft symbol accuracy for higher-order modulation,and propose a model characterizing the relationship between the estimated complex soft symbol and the actual high-order modulated symbol.Further-more,the hybrid DF-SIR strategy is extended to a distributed Alamouti space-time-coded cooperative network.To evaluate the~performance of the proposed HDFSIR strategy,we implement extensive Monte Carlo simulations under varying channel conditions.Results demonstrate significant improvements with the hybrid technique outperforming individual DF and SIR strategies in both conventional and distributed Alamouti space-time coded cooperative networks.Moreover,at a SER of 10^(-3),the proposed NL-SES mapping demonstrated a 3.5 dB performance gain over the conventional averaging one,highlighting its superior accuracy in estimating soft symbols for quadrature phase-shift keying modulation.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
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
A new scheme combining a scalable transcoder with space time block codes （STBC） for an orthogonal frequency division multiplexing （OFDM） system is proposed for robust video transmission in dispersive fading channe...A new scheme combining a scalable transcoder with space time block codes （STBC） for an orthogonal frequency division multiplexing （OFDM） system is proposed for robust video transmission in dispersive fading channels. The target application for such a scalable transcoder is to provide successful access to the pre-encoded high quality video MPEG-2 from mobile wireless terminals. In the scalable transcoder, besides outputting the MPEG-4 fine granular scalability （FGS） bitstream, both the size of video frames and the bit rate are reduced. And an array processing algorithm of layer interference suppression is used at the receiver which makes the system structure provide different levels of protection to different layers. Furthermore, by considering the important level of scalable bitstream, the different bitstreams can be given different level protection by the system structure and channel coding. With the proposed system, the concurrent large diversity gain characteristic of STBC and alleviation of the frequency-selective fading effect of OFDM can be achieved. The simulation results show that the proposed schemes integrating scalable transcoding can provide a basic quality of video transmission and outperform the conventional single layer transcoding transmitted under the random and bursty error channel conditions.展开更多
基金funding from the European Union’s Horizon 2020 research and innovation program under Grant No.851676(ERC StGrt)the Swiss National Science Foundation(Grant No.219739).
文摘Modelling non-planar perovskite solar cells(PSCs)in 1D is very challenging due to strong interfacial and geometric interactions.This affects especially mesoporous,structured tandem,phase segregated and bulk heterojunction solar cells.We present ChargeFabrica,an open-source,two-dimensional electro-ionic drift-diffusion simulation tool designed to address these challenges by simultaneously solving the coupled electronic and ionic transport equations across complex device geometries.Using ChargeFabrica,we successfully replicate experimentally observed thickness-dependent trends in current-voltage(JV)curves,the influence of ionic prebiasing and associated EQE,which cannot be fully captured by conventional one-dimensional models.By incorporating realistic device morphologies and experimentally demonstrated defect densities,the simulator accurately predicts performance losses,field inversion effects,and the impact of geometric and interfacial properties.ChargeFabrica thus provides a robust platform for understanding and optimizing the interplay between ion migration and charge collection in mesoporous PSCs and will aid future development of perovskite device architectures.
基金supported by grants from National Natural Science Foundation of China(72374180)“Pioneer”and“Leading Goose”R&D Programs of Zhejiang Province(2026C02A1147,2025C02104)+5 种基金Research Center of Prevention and Treatment of Senescence Syndrome,School of Medicine Zhejiang University(2022010002)Zhejiang Key Laboratory of Intelligent Preventive Medicine(2020E10004)Oriental Talent Project(002)The key discipline of the Clinical Medical Research Center Geriatric frailty(LCXZ2202)Shanghai Municipal Health Commission Key Support Discipline Program(2023ZDFC0402)Zhejiang University School of Public Health Interdisciplinary Research Innovation Team Development Project。
文摘Objective This study examined the associations between multidimensional body composition modalities and brain aging in Chinese adults.Methods Brain age was estimated using ridge regression based on 24 head computed tomographyderived neuroanatomical indicators in a Chinese cohort(n=557).Brain age gap(BAG),the deviation between the predicted brain age and chronological age(CA),was categorized into brain age acceleration(BAG>0)and deceleration(BAG<0)groups.Principal component analysis of 22 correlationindependent body composition indicators identified different body composition modalities.Logistic regression was used to examine the associations between these modalities and the BAG groups.Results The mean absolute error of brain age in predicting CA was 6.41 years.Three body composition modalities were identified:fat mass dominant(characterized by high loading coefficients of body fat mass,fat mass index,visceral fat level,and fat-to-lean mass ratio);fat-free mass dominant;and trunkleg contrast distribution.The fat mass dominant modality was significantly associated with brain age acceleration(odds ratio[OR]=1.40,95%confidence interval[CI]:1.15‒1.71),and the association was robust in sensitivity analyses.Conclusion The fat mass dominant modality was significantly associated with accelerated brain aging.This study suggests integrating deep body composition indicators into clinical and community health screening could aid in targeted prevention of brain aging.
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 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.
基金supported by the Advance Research Project of Civil Aerospace Technology(Grant No.D020304)National Nat-ural Science Foundation of China(Grant Nos.52205257 and U22B2083).
文摘This paper proposes a new step-by-step Chebyshev space-time spectral method to analyze the force vibration of functionally graded material structures.Although traditional space-time spectral methods can reduce the accuracy mismatch between tem-poral low-order finite difference and spatial high-order discre tization,the ir time collocation points must increase dramatically to solve highly oscillatory solutions of structural vibration,which results in a surge in computing time and a decrease in accuracy.To address this problem,we introduced the step-by-step idea in the space-time spectral method.The Chebyshev polynomials and Lagrange's equation were applied to derive discrete spatial goverming equations,and a matrix projection method was used to map the calculation results of prev ious steps as the initial conditions of the subsequent steps.A series of numerical experiments were carried out.The results of the proposed method were compared with those obtained by traditional space-time spectral methods,which showed that higher accuracy could be achieved in a shorter computation time than the latter in highly oscillatory cases.
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supported by Beijing Municipal Natural Science Foundation(L222002)the Natural Science Foundation of China(U22B2004).
文摘Existing orthogonal space-time block coding(OSTBC)schemes for backscatter communication systems cannot achieve a full transmission code rate when the tag is equipped with more than two antennas.In this paper,we propose a quasi-orthogonal spacetime block code(QOSTBC)that can achieve a full transmission code rate for backscatter communication systems with a four-antenna tag and then extend the scheme to support tags with 2i antennas.Specifically,we first present the system model for the backscatter system.Next,we propose the QOSTBC scheme to encode the tag signals.Then,we provide the corresponding maximum likelihood detection algorithms to recover the tag signals.Finally,simulation results are provided to demonstrate that our proposed QOSTBC scheme and the detection algorithm can achieve a better transmission code rate or symbol error rate performance for backscatter communication systems compared with benchmark schemes.
基金funded by the Deanship of Graduate Studies and Scientific Research at Jouf University under grant No.(DGSSR-2024-02-02160).
文摘In this paper,we propose a hybrid decode-and-forward and soft information relaying(HDFSIR)strategy to mitigate error propagation in coded cooperative communications.In the HDFSIR approach,the relay operates in decode-and-forward(DF)mode when it successfully decodes the received message;otherwise,it switches to soft information relaying(SIR)mode.The benefits of the DF and SIR forwarding strategies are combined to achieve better performance than deploying the DF or SIR strategy alone.Closed-form expressions for the outage probability and symbol error rate(SER)are derived for coded cooperative communication with HDFSIR and energy-harvesting relays.Additionally,we introduce a novel normalized log-likelihood-ratio based soft estimation symbol(NL-SES)mapping technique,which enhances soft symbol accuracy for higher-order modulation,and propose a model characterizing the relationship between the estimated complex soft symbol and the actual high-order modulated symbol.Further-more,the hybrid DF-SIR strategy is extended to a distributed Alamouti space-time-coded cooperative network.To evaluate the~performance of the proposed HDFSIR strategy,we implement extensive Monte Carlo simulations under varying channel conditions.Results demonstrate significant improvements with the hybrid technique outperforming individual DF and SIR strategies in both conventional and distributed Alamouti space-time coded cooperative networks.Moreover,at a SER of 10^(-3),the proposed NL-SES mapping demonstrated a 3.5 dB performance gain over the conventional averaging one,highlighting its superior accuracy in estimating soft symbols for quadrature phase-shift keying modulation.
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.
文摘A new scheme combining a scalable transcoder with space time block codes （STBC） for an orthogonal frequency division multiplexing （OFDM） system is proposed for robust video transmission in dispersive fading channels. The target application for such a scalable transcoder is to provide successful access to the pre-encoded high quality video MPEG-2 from mobile wireless terminals. In the scalable transcoder, besides outputting the MPEG-4 fine granular scalability （FGS） bitstream, both the size of video frames and the bit rate are reduced. And an array processing algorithm of layer interference suppression is used at the receiver which makes the system structure provide different levels of protection to different layers. Furthermore, by considering the important level of scalable bitstream, the different bitstreams can be given different level protection by the system structure and channel coding. With the proposed system, the concurrent large diversity gain characteristic of STBC and alleviation of the frequency-selective fading effect of OFDM can be achieved. The simulation results show that the proposed schemes integrating scalable transcoding can provide a basic quality of video transmission and outperform the conventional single layer transcoding transmitted under the random and bursty error channel conditions.
