Reversible solid oxide cells(RSOCs)are capable of converting various energy resources,between electricity and chemical fuels,with high efficiency and flexibility,making them suitable for grid balancing and renewable e...Reversible solid oxide cells(RSOCs)are capable of converting various energy resources,between electricity and chemical fuels,with high efficiency and flexibility,making them suitable for grid balancing and renewable energy consumption.However,the practical application of RSOCs is still limited by the insufficient activity and stability of the electrodes in different operating modes.Herein,a highly efficient symmetrical electrode composed of La_(0.3)Sr_(0.6)Ti_(0.1)Co_(0.2)Fe_(0.7)O_(3-δ)(LSTCF)nanofibers and in situ exsolved Co_(3)Fe_(7) nanoparticles is developed for boosting the performance of RSOCs.The reversible phase transition,high activity and stability of the electrode have been confirmed by a combination of experimental(e.g.,transmission electron microscopy and X-ray absorption fine structure)and computational studies.Electrolyte-supported RSOCs with the symmetrical electrode demonstrate excellent catalytic activity and stability,achieving a high peak power density of 0.98 W cm^(-2)in the fuel cell mode using H_(2)as the fuel(or 0.53 W cm^(-2)using CH_(4)as the fuel)and a high current density of 1.09 A cm^(-2) at 1.4 V in the CO_(2)electrolysis mode(or 1.03 A cm^(-2)at 1.3 V for H_(2)O electrolysis)at 800℃while maintaining excellent durability for over 100 h.展开更多
Symmetrical solid oxide fuel cells(SSOFCs)could be alternative energy conversion devices due to their simple fabrication process and low cost.Herein,perovskite La_(0.6)Ce_(0.1)Sr_(0.3)Fe_(0.95)Ru_(0.05O3-δ)(LCSFR)was...Symmetrical solid oxide fuel cells(SSOFCs)could be alternative energy conversion devices due to their simple fabrication process and low cost.Herein,perovskite La_(0.6)Ce_(0.1)Sr_(0.3)Fe_(0.95)Ru_(0.05O3-δ)(LCSFR)was synthesized and evaluated as a high-performance electrode for SSOFCs based on the electrolyte of La_(0.9)Sr_(0.1)Ga_(0.8)Mg_(0.2)O_(3-δ)(LSGM).LCSFR retains their stable perovskite crystal structure in both reducing and oxidizing atmospheres,though a minor amount of LaSrFeO4 phase is present under reducing conditions.Morphology investigation shows that homogeneously dispersed Ru metallic nanoparticles are exsolved on the surface of LCSFR after being reduced.The polarization resistance(Rp)of LCSFR-CGO(Ce_(0.9)Gd_(0.1O2-δ))is about 0.11Ω·cm^(2)at 800℃in air,while the value of Rp for LCSFR-CGO in wet H_(2)(3%H_(2)O)increases up to 0.32Ω·cm^(2).The symmetrical LCSFR-CGOILSGMILCSFR-CGO cell demonstrates a performance with an open circuit potential(OCV)of 1.07 V and a maximum peak power density of 904 mW/cm^(2)at 800℃using wet H2 as the fuel.This high performance indicates that LCSFR is a candidate electrode for SSOFCs.展开更多
In this paper,a new isogeometric topology optimization(ITO)method is proposed by using T-splines based isogeometric analysis(IGA).The arbitrarily shaped design domains,directly obtained from CAD,are represented by a s...In this paper,a new isogeometric topology optimization(ITO)method is proposed by using T-splines based isogeometric analysis(IGA).The arbitrarily shaped design domains,directly obtained from CAD,are represented by a single T-spline surface which overcomes the topological limitations of Non-Uniform Rational B-Spline(NURBS).The coefficients correlated with control points are directly used as design variables.Therefore,the T-spline basis functions applied for geometry description and calculation of structural response are simultaneously introduced to represent the density distribution.Several numerical examples show that the proposed approach leads to a coherent workflow to handle design problems of complicated structures.The optimized results are free of checkerboard patterns without additional stabilization and filtering techniques due to the properties of T-splines,which also simplified the post-processing.In addition,through performing local refinement,we can easily achieve multiresolution optimization and infill optimization within the T-splines based framework.In general,the proposed method provides a possibility to design,analyze,and optimize engineering structures in a uniform model,which has the potential to improve design efficiency and reduce the cost of product development.展开更多
Nonlinear behaviors are commonplace in many complex engineering applications,e.g.,metal forming,vehicle crash test and so on.This paper focuses on the T-spline based isogeometric analysis of two-dimensional nonlinear ...Nonlinear behaviors are commonplace in many complex engineering applications,e.g.,metal forming,vehicle crash test and so on.This paper focuses on the T-spline based isogeometric analysis of two-dimensional nonlinear problems including general large deformation hyperelastic problems and small deformation elastoplastic problems,to reveal the advantages of local refinement property of T-splines in describing nonlinear behavior of materials.By applying the adaptive refinement capability of T-splines during the iteration process of analysis,the numerical simulation accuracy of the nonlinear model could be increased dramatically.The Bézier extraction of the T-splines provides an element structure for isogeometric analysis that can be easily incorporated into existing nonlinear finite element codes.In addition,T-splines show great superiority of modeling complex geometries especially when the model is irregular and with hole features.Several numerical examples have been tested to validate the accuracy and convergence of the proposed method.The obtained results are compared with those from NURBS-based isogeometric analysis and commercial software ABAQUS.展开更多
[Objective]This study was conducted to evaluate the soil fertility in Yiliantobacco-growing areas of Hunan Province.[Method]The soil nutrient contents iseven tobacco-growing towns of Yiliang County,Yunnan Province wer...[Objective]This study was conducted to evaluate the soil fertility in Yiliantobacco-growing areas of Hunan Province.[Method]The soil nutrient contents iseven tobacco-growing towns of Yiliang County,Yunnan Province were surveyefrom 2010 to 2013 and integrated soil fertility index（SFI value）was calculated tanalyze the soil fertility suitability in theses areas.[Result]The soil p H,contents oorganic matter,hydrolytic N,rapidly available K and available B were all at an appropriate level,while the contents of rapidly available P,available Mg,available Zand water-soluble Cl-were high.Among them,the contents of available P and water-soluble Cl-had great variation.Finally,the soil fertility suitability of Yiliang tobacco-growing areas was graded based on their SFI values.As a result,20%of thestobacco-growing areas were in Grade I,47.7%in Grade II,29.3%in Grade III1.5%in Grade IV and 1.5%in Grade V.The average SFI was 0.61.From 2010 t2013,the p H value and available Mg content reduced year by year,while the contents of organic matter,hydrolytic N,rapidly available P,rapidly available K,available Zn,available B and water-soluble Cl-were increased.展开更多
Solid oxide electrolysis cell(SOEC) could be a potential technology to afford chemical storage of renewable electricity by converting water and carbon dioxide.In this work,we present the Ni-doped layered perovskite ox...Solid oxide electrolysis cell(SOEC) could be a potential technology to afford chemical storage of renewable electricity by converting water and carbon dioxide.In this work,we present the Ni-doped layered perovskite oxides,(La_(4)Sr_(n-4))_(0.9)Ti_(0.9n)Ni_(0.1n)O_(3n+2) with n=5,8,and 12(LSTNn) for application as catalysts of CO_(2) electrolysis with the exsolution of Ni nanoparticles through a simple in-situ growth method.It is found that the density,size,and distribution of exsolved Ni nanoparticles are determined by the number of n in LSTNn due to the different stack structures of TiO_6 octahedra along the c axis.The Ni doping in LSTNn significantly improved the electrochemical activity by increasing oxygen vacancies,and the Ni metallic nanoparticles afford much more active sites.The results show that LSTNn cathodes can successfully be manipulated the activity by controlling both the n number and Ni exsolution.Among these LSTNn(n=5,8,and 12),LSTN8 renders a higher activity for electrolysis of CO_(2) with a current density of 1.50A cm^(-2)@2.0 V at 800℃ It is clear from these results that the number of n in(La_(4)Sr_(n-4))_(0.9)Ti_(0.9n)Ni_(0.1n)O_(3n+2)with Ni-doping is a key factor in controlling the electrochemical performance and catalytic activity in SOEC.展开更多
Bone tumors(BTs)-including osteosarcoma,Ewing sarcoma,and chondrosarcoma-are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location,histological subtype,and molecul...Bone tumors(BTs)-including osteosarcoma,Ewing sarcoma,and chondrosarcoma-are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location,histological subtype,and molecular alterations.Recent advances in artificial intelligence(AI),particularly deep learning,have enabled the integration of diverse clinical data modalities to support diagnosis,treatment planning,and prognostication in bone oncology.This review provides a comprehensive synthesis of AI-driven multimodal fusion strategies that incorporate radiological imaging,digital pathology,multi-omics profiling,and electronic health records.We conducted a structured review of peer-reviewed literature published between 2015 and early 2025,focusing on the development,validation,and clinical applicability of AI models for BT diagnosis,subtyping,treatment response prediction,and recurrence monitoring.Although multimodal models have demonstrated advantages over unimodal approaches,especially in handling missing data and improving generalizability,most remain constrained by single-center study designs,small sample sizes,and limited prospective or external validation.Persistent technical and translational challenges include semantic misalignment across modalities,incomplete datasets,limited model interpretability,and regulatory and infrastructural barriers to clinical integration.To address these limitations,we highlight emerging directions such as contrastive representation learning,generative data augmentation,transformer-based fusion architectures,and privacy-preserving federated learning.We also discuss the evolving role of foundation models and workflow-integrated AI agents in enhancing scalability and clinical usability.In summary,multimodal AI represents a promising paradigm for advancing precision care in BTs.Realizing its full clinical potential will require methodologically rigorous,biologically informed,and system-level approaches that bridge algorithmic innovation with real-world healthcare delivery.展开更多
To enhance the DC electrical performance of cross-linked polyethylene(XLPE),the graftable antioxidant methacrylic acid 2-hydroxy-3-(4-anilinoanilino)propyl ester(GA),which contains carbonyl and amino groups,and the cr...To enhance the DC electrical performance of cross-linked polyethylene(XLPE),the graftable antioxidant methacrylic acid 2-hydroxy-3-(4-anilinoanilino)propyl ester(GA),which contains carbonyl and amino groups,and the crosslinking coagent trimethylolpropane trimethacrylate(TMPTMA),which contains carbonyl groups,are individually or co-grafted onto XLPE.The slightly higher deep trap density introduced by higher grafting concentration of TMPTMA results in more significant suppression effect of conductance current and enhanced breakdown strength at a lower temperature,while the suppression effect for the conductance current at 90°C becomes weakened due to limited trap energy.Meanwhile,the deeper energy level introduced by GA suppresses the conductance current and improves the electrical strength of XLPE at 90°C more significantly.By co-grafting,the conductance current of XLPE in a wide range temperature can be significantly reduced,especially for the temperature dependence of conductance current,which is beneficial to suppress the field strength reversal.The results of thermally stimulated current and molecular simulation show that the polar groups of two monomers introduce deep charge traps in XLPE.The co-grafting system ensures the rationality of the crosslinking reaction kinetics and does not affect the cable manufacturing.展开更多
Millimeter waves are electromagnetic waves with wavelengths of 1–10 mm,which have characteristics of high frequency and short wavelength.They have gradually and widely been used in engineering and medical fields.We h...Millimeter waves are electromagnetic waves with wavelengths of 1–10 mm,which have characteristics of high frequency and short wavelength.They have gradually and widely been used in engineering and medical fields.We have identified studies related to millimeter waves in the biomedical field and summarized the biological effects of millimeter waves and their current status in medical applications.Finally,the shortcomings of existing studies and future developments were analyzed and discussed,with the aim of providing a reference for further research and development of millimeter waves in the medical field.展开更多
The development of kinetics-favorable and interfacial-stabilizing electrode materials is critical for temperature-tolerant energy conversion and storage devices,yet remains insufficiently explored.In this study,we pre...The development of kinetics-favorable and interfacial-stabilizing electrode materials is critical for temperature-tolerant energy conversion and storage devices,yet remains insufficiently explored.In this study,we present cation vacancy-rich Ge_(2)Sb_(2)Te_(5)semimetal as an anode material for lithium-ion batteries(LIBs)and sodium-ion batteries(SIBs).Ge_(2)Sb_(2)Te_(5)demonstrates exceptional electrochemical performance compared to other metal tellurides and exhibits impressive kinetics and interface stability at low tem-peratures.Experimental results indicate that the synergistic interactions between germanium/antimony vacancies and tellurium atoms,along with accelerated kinetics,enhanced electrical conductivity,and sta-bilized interfacial properties of Ge_(2)Sb_(2)Te_(5),significantly contribute to its improved electrochemical activ-ity.This material enables the LIBs and SIBs that operate effectively at low temperatures,achieving high discharge capacities of 287 and 161 mAh g^(-1) for half-cells at−40℃,and an impressive energy density of 278 and 149 Wh kg^(-1) for full cells at−20℃,respectively.This study provides valuable insights into kinetic activity and interfacial-stabilized electrochemical reactions,thereby facilitating the application of LIBs and SIBs in harsh environments.展开更多
The semi-conductive(SC)screen materials used in polypropylene(PP)-based cables are usually multi-component composites.Polypropylene shows poor compatibility with carbon black(CB),and CB particles tend to disperse in t...The semi-conductive(SC)screen materials used in polypropylene(PP)-based cables are usually multi-component composites.Polypropylene shows poor compatibility with carbon black(CB),and CB particles tend to disperse in the elastomer phase,which results in CB non-uniform dispersion in screen materials.The non-uniform distribution of CB will cause abnormal electric fields at the screen/insulation interface and affect insulation performance.This paper prepared modified PP grafted by molecule maleic anhydride,and four PP-based SC shielding materials were blended in combination with PP,PP-g-MAH,and thermoplastic elastomer(POE)as matrix resin.The CB distribution,electrical conductivity,and basic physical properties of the shielding material were characterised.Different screen materials were served as electrodes to test their effects on the space charge and conductivity characteristics of insulation.The relationship between the macroscopic properties and the distribution characteristics of CB was discussed.Results show that the selective dispersion of CB in screen material was improved by PPg-MAH and the surface electric potential distribution was homogenised.Charge emission at the screen/insulation interface and conductivity can be reduced by homogenising the CB distribution.CB/PP-g-MAH/POE prepared in this paper exhibits relatively uniform CB distribution,which can reduce the charge emission from the screen/insulation interface.展开更多
Energy loss in porous media containing fluids is typically caused by a variety of dynamic mechanisms.In the Biot theory,energy loss only includes the frictional dissipation between the solid phase and the fluid phase,...Energy loss in porous media containing fluids is typically caused by a variety of dynamic mechanisms.In the Biot theory,energy loss only includes the frictional dissipation between the solid phase and the fluid phase,resulting in underestimation of the dispersion and attenuation of the waves in the low frequency range.To develop a dynamic model that can predict the high dispersion and strong attenuation of waves at the seismic band,we introduce viscoelasticity into the Biot model and use fractional derivatives to describe the viscoelastic mechanism,and finally propose a new wave propagation model.Unlike the Biot model,the proposed model includes the intrinsic dissipation of the solid frame.We investigate the effects of the fractional order parameters on the dispersion and attenuation of the P-and S-waves using several numerical experiments.Furthermore,we use several groups of experimental data from different fluid-saturated rocks to testify the validity of the new model.The results demonstrate that the new model provides more accurate predictions of high dispersion and strong attenuation of different waves in the low frequency range.展开更多
As a high-tech strategic emerging comprehensive industry,the nuclear industry is committed to the research,production,and processing of nuclear fuel,as well as the development and utilization of nuclear energy.Nowaday...As a high-tech strategic emerging comprehensive industry,the nuclear industry is committed to the research,production,and processing of nuclear fuel,as well as the development and utilization of nuclear energy.Nowadays,the nuclear industry has made remarkable progress in the application fields of nuclear weapons,nuclear power,nuclear medical treatment,radiation processing,and so on.With the development of artificial intelligence and the proposal of“Industry 4.0”,more and more artificial intelligence technologies are introduced into the nuclear industry chain to improve production efficiency,reduce operation cost,improve operation safety,and realize risk avoidance.Meanwhile,deep learning,as an important technology of artificial intelligence,has made amazing progress in theoretical and applied research in the nuclear industry,which vigorously promotes the development of informatization,digitization,and intelligence of the nuclear industry.In this paper,we first simply comb and analyze the intelligent demand scenarios in the whole industrial chain of the nuclear industry.Then,we discuss the data types involved in the nuclear industry chain.After that,we investigate the research status of deep learning in the application fields corresponding to different data types in the nuclear industry.Finally,we discuss the limitation and unique challenges of deep learning in the nuclear industry and the future direction of the intelligent nuclear industry.展开更多
A recent study published in Nature Communications presents a unique approach using an osteoinductive intra-medullary(IM)implant as an adjunctive therapy for bone transport distraction osteogenesis.The study demon-stra...A recent study published in Nature Communications presents a unique approach using an osteoinductive intra-medullary(IM)implant as an adjunctive therapy for bone transport distraction osteogenesis.The study demon-strates that this innovative technique achieves early bony bridging,eliminates pin tract infections,and prevents docking site non-union,offering significant potential for the treatment of large bone defects.The study also highlights an additive effect of the osteoinductive IM implant on distraction osteogenesis for managing bone defect.展开更多
基金supported by the National Natural Science Foundation of China(No.52377212 and 51877173)program of Beijing Huairou Laboratory(ZD2022006A)+2 种基金the Key R&D Project of Shaanxi Province(2023-YBGY-057)the State Key Laboratory of Electrical Insulation and Power Equipment(EIPE22314,EIPE22306)the Natural Science Basic Research Program of Shaanxi(No.2023-JC-QN-0483).
文摘Reversible solid oxide cells(RSOCs)are capable of converting various energy resources,between electricity and chemical fuels,with high efficiency and flexibility,making them suitable for grid balancing and renewable energy consumption.However,the practical application of RSOCs is still limited by the insufficient activity and stability of the electrodes in different operating modes.Herein,a highly efficient symmetrical electrode composed of La_(0.3)Sr_(0.6)Ti_(0.1)Co_(0.2)Fe_(0.7)O_(3-δ)(LSTCF)nanofibers and in situ exsolved Co_(3)Fe_(7) nanoparticles is developed for boosting the performance of RSOCs.The reversible phase transition,high activity and stability of the electrode have been confirmed by a combination of experimental(e.g.,transmission electron microscopy and X-ray absorption fine structure)and computational studies.Electrolyte-supported RSOCs with the symmetrical electrode demonstrate excellent catalytic activity and stability,achieving a high peak power density of 0.98 W cm^(-2)in the fuel cell mode using H_(2)as the fuel(or 0.53 W cm^(-2)using CH_(4)as the fuel)and a high current density of 1.09 A cm^(-2) at 1.4 V in the CO_(2)electrolysis mode(or 1.03 A cm^(-2)at 1.3 V for H_(2)O electrolysis)at 800℃while maintaining excellent durability for over 100 h.
基金Project supported by the State of Grid(SGSDJN00FZQT1700446)。
文摘Symmetrical solid oxide fuel cells(SSOFCs)could be alternative energy conversion devices due to their simple fabrication process and low cost.Herein,perovskite La_(0.6)Ce_(0.1)Sr_(0.3)Fe_(0.95)Ru_(0.05O3-δ)(LCSFR)was synthesized and evaluated as a high-performance electrode for SSOFCs based on the electrolyte of La_(0.9)Sr_(0.1)Ga_(0.8)Mg_(0.2)O_(3-δ)(LSGM).LCSFR retains their stable perovskite crystal structure in both reducing and oxidizing atmospheres,though a minor amount of LaSrFeO4 phase is present under reducing conditions.Morphology investigation shows that homogeneously dispersed Ru metallic nanoparticles are exsolved on the surface of LCSFR after being reduced.The polarization resistance(Rp)of LCSFR-CGO(Ce_(0.9)Gd_(0.1O2-δ))is about 0.11Ω·cm^(2)at 800℃in air,while the value of Rp for LCSFR-CGO in wet H_(2)(3%H_(2)O)increases up to 0.32Ω·cm^(2).The symmetrical LCSFR-CGOILSGMILCSFR-CGO cell demonstrates a performance with an open circuit potential(OCV)of 1.07 V and a maximum peak power density of 904 mW/cm^(2)at 800℃using wet H2 as the fuel.This high performance indicates that LCSFR is a candidate electrode for SSOFCs.
基金supported by the Natural Science Foundation of China(Project Nos.61972011 and 61572056).
文摘In this paper,a new isogeometric topology optimization(ITO)method is proposed by using T-splines based isogeometric analysis(IGA).The arbitrarily shaped design domains,directly obtained from CAD,are represented by a single T-spline surface which overcomes the topological limitations of Non-Uniform Rational B-Spline(NURBS).The coefficients correlated with control points are directly used as design variables.Therefore,the T-spline basis functions applied for geometry description and calculation of structural response are simultaneously introduced to represent the density distribution.Several numerical examples show that the proposed approach leads to a coherent workflow to handle design problems of complicated structures.The optimized results are free of checkerboard patterns without additional stabilization and filtering techniques due to the properties of T-splines,which also simplified the post-processing.In addition,through performing local refinement,we can easily achieve multiresolution optimization and infill optimization within the T-splines based framework.In general,the proposed method provides a possibility to design,analyze,and optimize engineering structures in a uniform model,which has the potential to improve design efficiency and reduce the cost of product development.
基金support by the Natural Science Foundation of China(Project Nos.61972011 and 61572056).
文摘Nonlinear behaviors are commonplace in many complex engineering applications,e.g.,metal forming,vehicle crash test and so on.This paper focuses on the T-spline based isogeometric analysis of two-dimensional nonlinear problems including general large deformation hyperelastic problems and small deformation elastoplastic problems,to reveal the advantages of local refinement property of T-splines in describing nonlinear behavior of materials.By applying the adaptive refinement capability of T-splines during the iteration process of analysis,the numerical simulation accuracy of the nonlinear model could be increased dramatically.The Bézier extraction of the T-splines provides an element structure for isogeometric analysis that can be easily incorporated into existing nonlinear finite element codes.In addition,T-splines show great superiority of modeling complex geometries especially when the model is irregular and with hole features.Several numerical examples have been tested to validate the accuracy and convergence of the proposed method.The obtained results are compared with those from NURBS-based isogeometric analysis and commercial software ABAQUS.
基金Supported by Fund of Hongyun Honghe Tobacco(Group)Co.Ltd.(HYHH2012YL03)Fund of Yunnan Branch of China National Tobacco Corporation(2010YN25)
文摘[Objective]This study was conducted to evaluate the soil fertility in Yiliantobacco-growing areas of Hunan Province.[Method]The soil nutrient contents iseven tobacco-growing towns of Yiliang County,Yunnan Province were surveyefrom 2010 to 2013 and integrated soil fertility index（SFI value）was calculated tanalyze the soil fertility suitability in theses areas.[Result]The soil p H,contents oorganic matter,hydrolytic N,rapidly available K and available B were all at an appropriate level,while the contents of rapidly available P,available Mg,available Zand water-soluble Cl-were high.Among them,the contents of available P and water-soluble Cl-had great variation.Finally,the soil fertility suitability of Yiliang tobacco-growing areas was graded based on their SFI values.As a result,20%of thestobacco-growing areas were in Grade I,47.7%in Grade II,29.3%in Grade III1.5%in Grade IV and 1.5%in Grade V.The average SFI was 0.61.From 2010 t2013,the p H value and available Mg content reduced year by year,while the contents of organic matter,hydrolytic N,rapidly available P,rapidly available K,available Zn,available B and water-soluble Cl-were increased.
基金supported by the National Natural Science Foundation of China (51877173)the Key R&D Project of Shaanxi Province (2023-YBGY-057)+1 种基金the State Key Laboratory of Electrical Insulation and Power Equipment (EIPE22314, EIPE22306)the Natural Science Basic Research Program of Shaanxi (2023-JC-QN-0483)。
文摘Solid oxide electrolysis cell(SOEC) could be a potential technology to afford chemical storage of renewable electricity by converting water and carbon dioxide.In this work,we present the Ni-doped layered perovskite oxides,(La_(4)Sr_(n-4))_(0.9)Ti_(0.9n)Ni_(0.1n)O_(3n+2) with n=5,8,and 12(LSTNn) for application as catalysts of CO_(2) electrolysis with the exsolution of Ni nanoparticles through a simple in-situ growth method.It is found that the density,size,and distribution of exsolved Ni nanoparticles are determined by the number of n in LSTNn due to the different stack structures of TiO_6 octahedra along the c axis.The Ni doping in LSTNn significantly improved the electrochemical activity by increasing oxygen vacancies,and the Ni metallic nanoparticles afford much more active sites.The results show that LSTNn cathodes can successfully be manipulated the activity by controlling both the n number and Ni exsolution.Among these LSTNn(n=5,8,and 12),LSTN8 renders a higher activity for electrolysis of CO_(2) with a current density of 1.50A cm^(-2)@2.0 V at 800℃ It is clear from these results that the number of n in(La_(4)Sr_(n-4))_(0.9)Ti_(0.9n)Ni_(0.1n)O_(3n+2)with Ni-doping is a key factor in controlling the electrochemical performance and catalytic activity in SOEC.
基金supported by the National Natural Science Foundation of China[Grant No.:82172524]the Natural Science Foundation of Hubei Province[Grant No.:2025AFB240].
文摘Bone tumors(BTs)-including osteosarcoma,Ewing sarcoma,and chondrosarcoma-are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location,histological subtype,and molecular alterations.Recent advances in artificial intelligence(AI),particularly deep learning,have enabled the integration of diverse clinical data modalities to support diagnosis,treatment planning,and prognostication in bone oncology.This review provides a comprehensive synthesis of AI-driven multimodal fusion strategies that incorporate radiological imaging,digital pathology,multi-omics profiling,and electronic health records.We conducted a structured review of peer-reviewed literature published between 2015 and early 2025,focusing on the development,validation,and clinical applicability of AI models for BT diagnosis,subtyping,treatment response prediction,and recurrence monitoring.Although multimodal models have demonstrated advantages over unimodal approaches,especially in handling missing data and improving generalizability,most remain constrained by single-center study designs,small sample sizes,and limited prospective or external validation.Persistent technical and translational challenges include semantic misalignment across modalities,incomplete datasets,limited model interpretability,and regulatory and infrastructural barriers to clinical integration.To address these limitations,we highlight emerging directions such as contrastive representation learning,generative data augmentation,transformer-based fusion architectures,and privacy-preserving federated learning.We also discuss the evolving role of foundation models and workflow-integrated AI agents in enhancing scalability and clinical usability.In summary,multimodal AI represents a promising paradigm for advancing precision care in BTs.Realizing its full clinical potential will require methodologically rigorous,biologically informed,and system-level approaches that bridge algorithmic innovation with real-world healthcare delivery.
基金National Natural Science Foundation of China,Grant/Award Numbers:U20A20307,52107015。
文摘To enhance the DC electrical performance of cross-linked polyethylene(XLPE),the graftable antioxidant methacrylic acid 2-hydroxy-3-(4-anilinoanilino)propyl ester(GA),which contains carbonyl and amino groups,and the crosslinking coagent trimethylolpropane trimethacrylate(TMPTMA),which contains carbonyl groups,are individually or co-grafted onto XLPE.The slightly higher deep trap density introduced by higher grafting concentration of TMPTMA results in more significant suppression effect of conductance current and enhanced breakdown strength at a lower temperature,while the suppression effect for the conductance current at 90°C becomes weakened due to limited trap energy.Meanwhile,the deeper energy level introduced by GA suppresses the conductance current and improves the electrical strength of XLPE at 90°C more significantly.By co-grafting,the conductance current of XLPE in a wide range temperature can be significantly reduced,especially for the temperature dependence of conductance current,which is beneficial to suppress the field strength reversal.The results of thermally stimulated current and molecular simulation show that the polar groups of two monomers introduce deep charge traps in XLPE.The co-grafting system ensures the rationality of the crosslinking reaction kinetics and does not affect the cable manufacturing.
基金the National Natural Science Foundation of China(Grant No.81974355)Establishment of the National Intelligent Medical Clinical Research Center(Grant No.2020021105012440)Hubei Province’s New Generation of Artificial Intelligence Key Research and Development Projects(Grant No.2021BEA161).
文摘Millimeter waves are electromagnetic waves with wavelengths of 1–10 mm,which have characteristics of high frequency and short wavelength.They have gradually and widely been used in engineering and medical fields.We have identified studies related to millimeter waves in the biomedical field and summarized the biological effects of millimeter waves and their current status in medical applications.Finally,the shortcomings of existing studies and future developments were analyzed and discussed,with the aim of providing a reference for further research and development of millimeter waves in the medical field.
基金financially supported by the Department of Sci-ence and Technology of Jilin Province(No.20240602107RC)support from the National Natural Sci-ence Foundation of China(No.52202237).
文摘The development of kinetics-favorable and interfacial-stabilizing electrode materials is critical for temperature-tolerant energy conversion and storage devices,yet remains insufficiently explored.In this study,we present cation vacancy-rich Ge_(2)Sb_(2)Te_(5)semimetal as an anode material for lithium-ion batteries(LIBs)and sodium-ion batteries(SIBs).Ge_(2)Sb_(2)Te_(5)demonstrates exceptional electrochemical performance compared to other metal tellurides and exhibits impressive kinetics and interface stability at low tem-peratures.Experimental results indicate that the synergistic interactions between germanium/antimony vacancies and tellurium atoms,along with accelerated kinetics,enhanced electrical conductivity,and sta-bilized interfacial properties of Ge_(2)Sb_(2)Te_(5),significantly contribute to its improved electrochemical activ-ity.This material enables the LIBs and SIBs that operate effectively at low temperatures,achieving high discharge capacities of 287 and 161 mAh g^(-1) for half-cells at−40℃,and an impressive energy density of 278 and 149 Wh kg^(-1) for full cells at−20℃,respectively.This study provides valuable insights into kinetic activity and interfacial-stabilized electrochemical reactions,thereby facilitating the application of LIBs and SIBs in harsh environments.
基金National Natural Science Foundation of China,Grant/Award Number:U20A20307。
文摘The semi-conductive(SC)screen materials used in polypropylene(PP)-based cables are usually multi-component composites.Polypropylene shows poor compatibility with carbon black(CB),and CB particles tend to disperse in the elastomer phase,which results in CB non-uniform dispersion in screen materials.The non-uniform distribution of CB will cause abnormal electric fields at the screen/insulation interface and affect insulation performance.This paper prepared modified PP grafted by molecule maleic anhydride,and four PP-based SC shielding materials were blended in combination with PP,PP-g-MAH,and thermoplastic elastomer(POE)as matrix resin.The CB distribution,electrical conductivity,and basic physical properties of the shielding material were characterised.Different screen materials were served as electrodes to test their effects on the space charge and conductivity characteristics of insulation.The relationship between the macroscopic properties and the distribution characteristics of CB was discussed.Results show that the selective dispersion of CB in screen material was improved by PPg-MAH and the surface electric potential distribution was homogenised.Charge emission at the screen/insulation interface and conductivity can be reduced by homogenising the CB distribution.CB/PP-g-MAH/POE prepared in this paper exhibits relatively uniform CB distribution,which can reduce the charge emission from the screen/insulation interface.
基金the National Natural Science Foundation of China(Grant Nos.91730306 and 41390452)the Shengli Oilfield Company(Grant No.30200020-18ZC0613-0030)。
文摘Energy loss in porous media containing fluids is typically caused by a variety of dynamic mechanisms.In the Biot theory,energy loss only includes the frictional dissipation between the solid phase and the fluid phase,resulting in underestimation of the dispersion and attenuation of the waves in the low frequency range.To develop a dynamic model that can predict the high dispersion and strong attenuation of waves at the seismic band,we introduce viscoelasticity into the Biot model and use fractional derivatives to describe the viscoelastic mechanism,and finally propose a new wave propagation model.Unlike the Biot model,the proposed model includes the intrinsic dissipation of the solid frame.We investigate the effects of the fractional order parameters on the dispersion and attenuation of the P-and S-waves using several numerical experiments.Furthermore,we use several groups of experimental data from different fluid-saturated rocks to testify the validity of the new model.The results demonstrate that the new model provides more accurate predictions of high dispersion and strong attenuation of different waves in the low frequency range.
基金supported in part by the State Key Program of National Science Foundation(No.61836006)the National Natural Science Fund for Distinguished Young Scholar(No.61625204)+1 种基金the National Natural Science Foundation of China(Nos.62106161 and 61602328)the Key Research and Development Project of Sichuan(No.2019YFG0494)
文摘As a high-tech strategic emerging comprehensive industry,the nuclear industry is committed to the research,production,and processing of nuclear fuel,as well as the development and utilization of nuclear energy.Nowadays,the nuclear industry has made remarkable progress in the application fields of nuclear weapons,nuclear power,nuclear medical treatment,radiation processing,and so on.With the development of artificial intelligence and the proposal of“Industry 4.0”,more and more artificial intelligence technologies are introduced into the nuclear industry chain to improve production efficiency,reduce operation cost,improve operation safety,and realize risk avoidance.Meanwhile,deep learning,as an important technology of artificial intelligence,has made amazing progress in theoretical and applied research in the nuclear industry,which vigorously promotes the development of informatization,digitization,and intelligence of the nuclear industry.In this paper,we first simply comb and analyze the intelligent demand scenarios in the whole industrial chain of the nuclear industry.Then,we discuss the data types involved in the nuclear industry chain.After that,we investigate the research status of deep learning in the application fields corresponding to different data types in the nuclear industry.Finally,we discuss the limitation and unique challenges of deep learning in the nuclear industry and the future direction of the intelligent nuclear industry.
基金supported by grants from the National Natural Science Foundation of China(82172430)University Grants Committee,Research Grants Council of the Hong Kong Special Administrative Region,China(14113723,14108720,14121721,14202920,N_CUHK472/22,C7030-18G,T13-402/17-N and AoE/M-402/20)Health Medical Research Fund(HMRF)Hong Kong(17180831,08190416 and 09203436).
文摘A recent study published in Nature Communications presents a unique approach using an osteoinductive intra-medullary(IM)implant as an adjunctive therapy for bone transport distraction osteogenesis.The study demon-strates that this innovative technique achieves early bony bridging,eliminates pin tract infections,and prevents docking site non-union,offering significant potential for the treatment of large bone defects.The study also highlights an additive effect of the osteoinductive IM implant on distraction osteogenesis for managing bone defect.
