The effect of the volume fraction of 3D-metal matrix composites(MMC)framework on the compressive properties of 3D interpenetrating hierarchical ZrO_(2)-toughened Al_(2)O_(3)particle(ZTAp)/40Cr steel composites was inv...The effect of the volume fraction of 3D-metal matrix composites(MMC)framework on the compressive properties of 3D interpenetrating hierarchical ZrO_(2)-toughened Al_(2)O_(3)particle(ZTAp)/40Cr steel composites was investigated.The results showed that the compressive properties of the material tended to decrease as the volume fraction of 3D-MMC framework increased.The composite with 35 vol.%3D-MMC had a yield strength of 1455.2 MPa and compressive strength of 1612.8 MPa,which occurred at a strain value of 5.6%.Compared to the homogeneously dispersed composite material,the composite with 35 vol.%3D-MMC had a 144.7%higher yield strength,which occurred at a 20%higher strain.An analysis of the cracks inside the material revealed that the crack was hindered and deflected by the matrix during propagation,which lengthened the crack propagation path and consumed more energy,thus leading to toughening.The results indicated that 3D interpenetrating hierarchical structure had a strengthening and toughening effect on ZTAp/40Cr composites.展开更多
Three-dimensional(3D)functional graphenebased architecture with superior electrical conductivity and good mechanical strength has promising applications in energy storage and electrics.Viscoelasticity-adjustable inks ...Three-dimensional(3D)functional graphenebased architecture with superior electrical conductivity and good mechanical strength has promising applications in energy storage and electrics.Viscoelasticity-adjustable inks make it possible to achieve desired 3D architectures with interconnected and continuous interior networks by microextrusion printing.In this work,ultra-low-concentration graphene oxide(GO)inks of~15 mg·ml-1 have been obtained and demonstrated in direct 3D printing with a facile cross-linking(direct ink writing).The rheological behavior of the GO strategy by cations,which is the lowest concentration to achieve direct ink writing inks,could be adjusted from 1×10^(4) to 1×10^(5) Pa·s^(-1) with different concentrations of cations due to strong cross-linking networks between GO sheets and cations.Meanwhile,the specific strength and electrical conductivity of 3D-printed graphene architecture are notably enhanced,reaching up to 51.7×10^(3) N·m·kg^(-1)and 119 S·m^(-1),which are superior to conventional graphene aerogels.Furthermore,3D printing graphene-based architecture assembled in micro-superc apacitor exhibits excellent electrochemical performance,which can be ascribed to the effective ion transportation through the interconnected networks.The strategy demonstrated is useful in the design of complex-shaped,graphene-based architectures for scalable manufacturing of practical energy storage applications.展开更多
Carbon-based materials have gained significant attention in anticancer treatment because of their exceptional biocompatibility,yet critical challenges persist in establishing definitive correlations between their poro...Carbon-based materials have gained significant attention in anticancer treatment because of their exceptional biocompatibility,yet critical challenges persist in establishing definitive correlations between their porous structures and functional performance.We report the use of a silica template to guide pore formation in the design of mesoporous carbon spheres(mC)with tailored pore structures for improved combined photothermal-chemotherapy.The mesopore size of mC has been adjusted by kinetic control of the resin polymerization and silica hydrolysis.Structural characterization showed that 4.4 nm mesopores enabled an exceptional gemcitabine loading of 228 mg g^(−1) and a sustained pH/thermal dual-responsive release with>70%drug release under near-infrared(NIR)irradiation.Finite element analysis demonstrated pore size-dependent heat transfer dynamics,with the improved mC achieving a superior photothermal conversion efficiency of 62%by a combination of N-doping and defect engineering.In vitro evaluations confirmed outstanding biocompatibility with>95%cell viability at 200μg mL^(−1) and potent tumor suppression in pancreatic and biliary cancer models with an~5%cell viability at 25μg mL^(−1) where combined therapy showed a 3.7-fold increased cytotoxicity over monotherapy.The improved structure of mC facilitated cascade therapeutic effects with enhanced tumor permeability derived from NIR-triggered hyperthermia and prolonged therapeutic exposure due to pH-responsive drug release.This pore engineering strategy establishes a structure-function process for next-generation theranostic platforms,addressing the critical limitations of conventional pancreatic and biliary cancer therapies through spatiotemporal control of multimodal treatment.展开更多
Macro-architectured cellular （MAC） material is defined as a class of engineered materials having configurable cells of relatively large （i.e., visible） size that can be architecturally designed to achieve various ...Macro-architectured cellular （MAC） material is defined as a class of engineered materials having configurable cells of relatively large （i.e., visible） size that can be architecturally designed to achieve various desired material properties. Two types of novel MAC materials, negative Poisson＇s ratio material and biomimetic tendon reinforced material, were introduced in this study. To estimate the effective material properties for structural analyses and to optimally design such materials, a set of suitable homogenization methods was developed that provided an effective means for the multiscale modeling of MAC materials. First, a strain-based homogenization method was developed using an approach that separated the strain field into a homogenized strain field and a strain variation field in the local cellular domain superposed on the homogenized strain field. The principle of virtual displacements for the relationship between the strain variation field and the homogenized strain field was then used to condense the strain variation field onto the homogenized strain field. The new method was then extended to a stress-based homogenization process based on the principle of virtual forces and further applied to address the discrete systems represented by the beam or frame structures of the aforementioned MAC materials. The characteristic modes and the stress recovery process used to predict the stress distribution inside the cellular domain and thus determine the material strengths and failures at the local level are also discussed.展开更多
The distinctive landscape of Zhujiayu Ancient Village in Zhangqiu District,Ji’nan,together with its long-established cultural traditions,has shaped a unique vernacular settlement character,within which traditional dw...The distinctive landscape of Zhujiayu Ancient Village in Zhangqiu District,Ji’nan,together with its long-established cultural traditions,has shaped a unique vernacular settlement character,within which traditional dwellings serve as a primary medium of regional culture.This study examines the residence of Zhu Fengyin,a jinshi degree holder,and adopts field investigation and measured drawing-based analysis.Discussion is organized around three dimensions:an overview of the dwelling,architectural form,and cultural expression.Particular attention is given to the multi-stage,multi-bay compound configuration developed in a mountainous setting,terrain-adaptive courtyard forms,and construction techniques.The analysis further interprets the concepts of ritual order and auspicious symbolism embedded in architectural decoration.By using this representative case,the study aims to deepen understanding of the architectural culture of gentry dwellings in the Ji’nan region and to provide an academic basis for the conservation and inheritance of traditional dwellings in the Ji’nan area.展开更多
Two-dimensional materials for flexible energy storage commonly facehuge challenges in limited active surface and hindered charge transport.Herein,wereport an innovative asymmetric pseudocapacitor based on synergistic ...Two-dimensional materials for flexible energy storage commonly facehuge challenges in limited active surface and hindered charge transport.Herein,wereport an innovative asymmetric pseudocapacitor based on synergistic design of modifiedMXene and graphene,integrating gas-induced rapid expansion technology andprecise surface chemical regulation methods.For graphene modification,rapid vaporizationinduces exfoliation and expansion of graphene oxide layers.Subsequently,pseudocapacitiveoxygen-containing groups were selectively introduced through acid oxidation,yielding expanded-and-oxidized graphene(OEG)for positive porous-nanopaperelectrode.For MXene modification,alkali-treated MXene underwent hydrazine assistance to facilitate gas expansion and-NH_(2)grafting,producing MXene-NH_(2)(NOM)for negative porous-nanopaper electrode.Density functional theory calculations show that-COOH moreeffectively modulate graphene’s electronic structure by inducing charge redistribution and creating active sites,thereby enhancing H^(+)adsorption and ion interactions compared to-OH.Meanwhile,-NH_(2)on MXene enable electron delocalization and dynamic Ti-N-H^(+)interactions,speeding up proton adsorption/desorption and boosting both pseudocapacitance and conductivity.Through collaborativeoptimized spatial architecture and surface properties,flexible OEGB and NOMB exhibited of 333.6 and 500.5 F g^(-1)at high mass loading,respectively.The assembled proton pseudocapacitor readily achieved energy and power densities of 58.9 Wh kg^(-1)and 3802 W kg^(-1),respectively,with excellent stability for potential applications.展开更多
Artificial intelligence(AI)is reshaping financial systems and services,as intelligent AI agents increasingly form the foundation of autonomous,goal-driven systems capable of reasoning,learning,and action.This review s...Artificial intelligence(AI)is reshaping financial systems and services,as intelligent AI agents increasingly form the foundation of autonomous,goal-driven systems capable of reasoning,learning,and action.This review synthesizes recent research and developments in the application of AI agents across core financial domains.Specifically,it covers the deployment of agent-based AI in algorithmic trading,fraud detection,credit risk assessment,roboadvisory,and regulatory compliance(RegTech).The review focuses on advanced agent-based methodologies,including reinforcement learning,multi-agent systems,and autonomous decision-making frameworks,particularly those leveraging large language models(LLMs),contrasting these with traditional AI or purely statistical models.Our primary goals are to consolidate current knowledge,identify significant trends and architectural approaches,review the practical efficiency and impact of current applications,and delineate key challenges and promising future research directions.The increasing sophistication of AI agents offers unprecedented opportunities for innovation in finance,yet presents complex technical,ethical,and regulatory challenges that demand careful consideration and proactive strategies.This review aims to provide a comprehensive understanding of this rapidly evolving landscape,highlighting the role of agent-based AI in the ongoing transformation of the financial industry,and is intended to serve financial institutions,regulators,investors,analysts,researchers,and other key stakeholders in the financial ecosystem.展开更多
Despite demonstrating significant anti-tumor potential as an artemisinin derivative,artesunate faces delivery efficiency challenges due to low water solubility and insufficient targeting specificity.To improve the del...Despite demonstrating significant anti-tumor potential as an artemisinin derivative,artesunate faces delivery efficiency challenges due to low water solubility and insufficient targeting specificity.To improve the delivery efficiency,we engineered three artesunate(ART) derivatives,AC_(15)-L(linear),AC_(15)-B(branched),and AC_(15)-C(cyclic) with distinct aliphatic chain architectures.Unexpectedly,we observed that AC_(15)-C exhibited superior cytotoxicity against 4T1 breast cancer cells,and had the highest binding affinity for Lon protease 1(LONP1)(-72.6 kcal/mol).Subsequently,disulfide bond-containing lipid-PEG(DSPESS-PEG2K) modified chain architecture-engineered ART derivatives nanoassemblies(NAs) were developed to mitigate solubility-related limitations while enhancing targeting precision.Molecular docking and experimental validation demonstrated that ART derivatives inhibited LONP1 through hydrophobic interactions while preserved Fe^(2+)-mediated Fenton-like reaction activity.In vitro and in vivo evaluations demonstrated that AC_(15)-C NAs outperformed free ART and other NAs,suppressing 4T1 tumor growth via dual action:LONP1-directed mitochondrial proteostasis collapse and reactive oxygen species(ROS) amplification through Fe^(2+)-ART interactions.This study elucidated a novel anti-tumor mechanism of ART through the rational design of derivatives with spatially configured aliphatic chains,and developed reductionresponsive NAs to provide an advanced delivery strategy.展开更多
Your comments are welcome!Please feel free to contact us with your personal stories or vivid pictures!Address:24 Baiwanzhuang St.,Xicheng Dist.,Beijing,100037 E-mail:chinatodaynews@aliyun.com,I am the director of the ...Your comments are welcome!Please feel free to contact us with your personal stories or vivid pictures!Address:24 Baiwanzhuang St.,Xicheng Dist.,Beijing,100037 E-mail:chinatodaynews@aliyun.com,I am the director of the Singapore Chinese Opera Museum.The museum,nestled in a serene neighborhood distinguished by its Southeast Asian architectural charm,chronicles Chinese opera’s centuries-long journey.展开更多
The development of skeletal muscle are complicated processes involving genes responsible for proper muscle morphology,contractility,cell proliferation,differentiation,interactions,migration,and death.The three-dimensi...The development of skeletal muscle are complicated processes involving genes responsible for proper muscle morphology,contractility,cell proliferation,differentiation,interactions,migration,and death.The three-dimensional chromatin architecture of skeletal muscle development has not been studied intensively although dynamic transcriptional regulation during differentiation of muscle cells is one of the most deeply studied processes.The RNA-seq was used to analyze the transcriptome pattern during chicken muscle development across 12 stages.Hi-C was used to build chromatin architectures during four representative stages.Ch IP-seq was conducted to identify enhancers and promoters in these four stages,which are occupied by histone H3K27ac and H3K4me3 peaks.Results show that large-scale genome architecture changes are mostly unidirectional,and coupled by complex on/off dynamic patterns of gene expression.Specifically,we observed 258.30 Mb of the genome undergoing A/B compartment switching.Notable alterations(316.57 Mb)of interaction frequencies within TADs were observed.Substantial aging-associated genes exhibited ascending connectivity with the compartment transition from repressive to active status during muscle development.Some muscle-related gene promoters that interacted with active enhancers during development,and some myopathy/aging-associated genes that were activated in aging muscle were founded.These results provide key insights into skeletal muscle development in vivo,and offer a valuable resource that allows in-depth functional characterization of candidate genes.展开更多
Soybean is an important source of oil,protein,and feed.However,its yield is far below that of major cereal crops.The green revolution increased the yield of cereal crops partially through high-density planting of lodg...Soybean is an important source of oil,protein,and feed.However,its yield is far below that of major cereal crops.The green revolution increased the yield of cereal crops partially through high-density planting of lodging-resistant semi-dwarf varieties,but required more nitrogen fertilizers,posing an environmental threat.Genes that can improve nitrogen use efficiency need to be integrated into semi-dwarf varieties to avoid the overuse of fertilizers without the loss of dwarfism.Unlike cereal crops,soybean can assimilate atmospheric nitrogen through symbiotic bacteria.Here,we created new alleles of Gm GID1-2(Glycine max GIBBERELLIN INSENSITIVE DWARF 1-2)using clustered regularly interspaced short palindromic repeats(CRISPR)/CRISPR-associated nuclease 9(Cas9)editing,which improved soybean architecture,yield,seed oil content,and nitrogen fixation,by regulation of important pathways and known genes related to branching,lipid metabolism,and nodule symbiosis.Gm GID1-2 knockout reduced plant height,and increased stem diameter and strength,number of branches,nodes on the primary stem,pods,and seeds per plant,leading to an increase in seed weight per plant and yield in soybean.The nodule number,nodule weight,nitrogenase activity,and nitrogen content were also improved in Gm GID1-2knockout soybean lines,which is novel compared with the semi-dwarf genes in cereal crops.No loss-of-function allele for Gm GID1-2 was identified in soybean germplasm and the edited Gm GID1-2s are superior to the natural alleles,suggesting the Gm GID1-2 knockout mutants generated in this study are valuable genetic resources to further improve soybean yield and seed oil content in future breeding programs.This study illustrates the pleiotropic functions of the GID1 knockout alleles with positive effects on plant architecture,yield,and nitrogen fixation in soybean,which provides a promising strategy toward sustainable agriculture.展开更多
Improved yield potential is the goal of barley domestication and cultivation.During this process,two-and six-rowed barley types emerged and have been utilised in breeding and production.The six-rowed type could produc...Improved yield potential is the goal of barley domestication and cultivation.During this process,two-and six-rowed barley types emerged and have been utilised in breeding and production.The six-rowed type could produce three times as many grains as its ancestral two-rowed forms,thus dominating barley cultivation for thousands of years.The deficiens form of the two-rowed type,characterised by extremely suppressed lateral spikelets,has gained dominance over the past few decades in barley-growing regions worldwide.We hypothesised that the absence of lateral spikelets in deficiens barley affects spike architecture and spike-related traits,contributing to its superior yield potential of deficiens barley cultivation.Currently,a deficiens barley variety,RGT Planet,is the most popular barley variety in the world.In this study,we used two F_(2) populations derived from crossing RGT Planet with two canonical two-rowed barley and identified the functional allele Vrs1.t1 associated with deficiens morphology.We observed that the Vrs1.t1 allele may contribute to high yield potential by optimising spike architecture through increased spikelet length,grain number,and grain size.Phylogenetic analysis suggests that the deficiens mutation was likely present from the early stages of barley cultivation in the Fertile Crescent and spread to Ethiopia and beyond with agricultural expansion.We conclude that the ancient deficiens allele Vrs1.t1 has been a critical driver for the recent success of modern barley improvement by optimising spike architecture.展开更多
Fault-tolerant systems are crucial for ensuring the reliability and availability of missioncritical applications in modern computing environments.The dynamic heterogeneous redundancy(DHR)architecture is a key componen...Fault-tolerant systems are crucial for ensuring the reliability and availability of missioncritical applications in modern computing environments.The dynamic heterogeneous redundancy(DHR)architecture is a key component in constructing fault-tolerant systems,particularly in areas such as national security,power networks,and banking private networks.DHR is transforming the cyberspace security industry chain by accommodating a broader range of applications and increasingly capturing the market.However,the development of applications for DHR architecture encounters challenges due to the complexities of handling heterogeneity,managing dynamism,and maintaining usability.To address these issues,we introduce MimicStudio,a comprehensive development framework with a standardized workflow.To our knowledge,MimicStudio is the first effective solution for DHR software development.We present a detailed implementation of MimicStudio with a heterogeneous microcontroller unit project,encompassing three CPUs with different instruction set architectures.The paper evaluates MimicStudio’s support for essential features,including zero-copy synchronization,parallelized build,multi-core collaborative debugging,and dynamic adjustment of the software system’s structure.Our results show that MimicStudio provides a flexible and efficient solution for supporting the dynamic,heterogeneous,and redundant features of fault-tolerant systems.展开更多
As a representative surviving example of residences associated with officials and merchants in the southwestern Shandong region of the lower Yellow River Basin,spanning the Ming and Qing Dynasties to the modern period...As a representative surviving example of residences associated with officials and merchants in the southwestern Shandong region of the lower Yellow River Basin,spanning the Ming and Qing Dynasties to the modern period,the Zhujia Courtyard in Shan County functions as a built medium through which commercial capital and clan culture were closely intertwined.Drawing on field investigation and a review of the literature,this study examines its architectural and cultural characteristics across five dimensions:an overview of the courtyard,spatial layout,structural system,decorative arts,and cultural meanings.The analysis points to four interrelated cores,including the spatial embodiment of Confucian ethics,the status aspirations of canal-based merchant groups,adaptive strategies shaped by Yellow River conditions,and the symbolic articulation of folk beliefs.展开更多
Deep learning has become integral to robotics,particularly in tasks such as robotic grasping,where objects often exhibit diverse shapes,textures,and physical properties.In robotic grasping tasks,due to the diverse cha...Deep learning has become integral to robotics,particularly in tasks such as robotic grasping,where objects often exhibit diverse shapes,textures,and physical properties.In robotic grasping tasks,due to the diverse characteristics of the targets,frequent adjustments to the network architecture and parameters are required to avoid a decrease in model accuracy,which presents a significant challenge for non-experts.Neural Architecture Search(NAS)provides a compelling method through the automated generation of network architectures,enabling the discovery of models that achieve high accuracy through efficient search algorithms.Compared to manually designed networks,NAS methods can significantly reduce design costs,time expenditure,and improve model performance.However,such methods often involve complex topological connections,and these redundant structures can severely reduce computational efficiency.To overcome this challenge,this work puts forward a robotic grasp detection framework founded on NAS.The method automatically designs a lightweight network with high accuracy and low topological complexity,effectively adapting to the target object to generate the optimal grasp pose,thereby significantly improving the success rate of robotic grasping.Additionally,we use Class Activation Mapping(CAM)as an interpretability tool,which captures sensitive information during the perception process through visualized results.The searched model achieved competitive,and in some cases superior,performance on the Cornell and Jacquard public datasets,achieving accuracies of 98.3%and 96.8%,respectively,while sustaining a detection speed of 89 frames per second with only 0.41 million parameters.To further validate its effectiveness beyond benchmark evaluations,we conducted real-world grasping experiments on a UR5 robotic arm,where the model demonstrated reliable performance across diverse objects and high grasp success rates,thereby confirming its practical applicability in robotic manipulation tasks.展开更多
Deep learning-based wind turbine blade fault diagnosis has been widely applied due to its advantages in end-to-end feature extraction.However,several challenges remain.First,signal noise collected during blade operati...Deep learning-based wind turbine blade fault diagnosis has been widely applied due to its advantages in end-to-end feature extraction.However,several challenges remain.First,signal noise collected during blade operation masks fault features,severely impairing the fault diagnosis performance of deep learning models.Second,current blade fault diagnosis often relies on single-sensor data,resulting in limited monitoring dimensions and ability to comprehensively capture complex fault states.To address these issues,a multi-sensor fusion-based wind turbine blade fault diagnosis method is proposed.Specifically,a CNN-Transformer Coupled Feature Learning Architecture is constructed to enhance the ability to learn complex features under noisy conditions,while a Weight-Aligned Data Fusion Module is designed to comprehensively and effectively utilize multi-sensor fault information.Experimental results of wind turbine blade fault diagnosis under different noise interferences show that higher accuracy is achieved by the proposed method compared to models with single-source data input,enabling comprehensive and effective fault diagnosis.展开更多
In the training studio of the School of Architecture and Engineering at Xizang Vocational Technical College,Lhasa,Gyatso,a senior artist specializing in Tibetan-style architectural decorative painting,bent over to dem...In the training studio of the School of Architecture and Engineering at Xizang Vocational Technical College,Lhasa,Gyatso,a senior artist specializing in Tibetan-style architectural decorative painting,bent over to demonstrate a student how to paint.His left hand steadied the painting board,while his right hand held a brush pen to present the Tibetan-style painting technique of"blurring"-dipping the brush lightly into the pigment,spreading it from dark to light on the paper.The eight-petaled lotus,a symbol of auspiciousness,gradually took shape,blossoming with layers of vitality.展开更多
From the perspective of Multimodal Metaphor Theory,the architectural scenes in Ne Zha 2 embody highly condensed cultural connotations.Through the synergy of vision,soundscape,and dialect,the film constructs a metaphor...From the perspective of Multimodal Metaphor Theory,the architectural scenes in Ne Zha 2 embody highly condensed cultural connotations.Through the synergy of vision,soundscape,and dialect,the film constructs a metaphorical chain of“human order-ethnic oppression-theocratic structure”via the three core architectural spaces.As core signifiers,buildings drive the plot,shape characters,and convey values.The study reveals that animation activates traditional architecture’s metaphorical potential through cross-modal mapping,endowing historical symbols with contemporary vitality and providing a paradigm for the creative transformation of traditional culture.展开更多
Conversion of ammonia into hydrogen,a crucial pathway for the hydrogen economy,is severely constrained by the intricacy of the required equipment and the low efficiency.Herein,Pd@Pt Ni Co Ru Ir coreshell mesoporous bi...Conversion of ammonia into hydrogen,a crucial pathway for the hydrogen economy,is severely constrained by the intricacy of the required equipment and the low efficiency.Herein,Pd@Pt Ni Co Ru Ir coreshell mesoporous bifunctional electrocatalysts were fabricated via a one-step wet-chemical reduction approach.By utilizing the limiting effect of triblock copolymers,gradient distribution control of six metal elements(Pd core and Pt/Ni/Co/Ru/Ir high-entropy alloys shell) was achieved,where the high-entropy alloy shell forms high-density active sites through lattice distortion effect.With the help of lattice distortion and mesoporous-confinement-enabled interfacial coupling effects,Pd@Pt Ni Co Ru Ir catalyst exhibited exceptional bifunctional performance in alkaline media:A low hydrogen evolution reaction(HER) overpotential of 30.5 m V at 10 m A/cm^(2) and a high ammonia oxidation reaction(AOR) peak current density of 19.6 m A/cm^(2) at 0.7 V vs.RHE,representing a 3.83-fold enhancement over commercial Pt/C.Moreover,a rechargeable Zn-NH_(3) battery system was constructed and achieved 92.3 % Faradaic efficiency(FE) for NH_(3)-to-H_(2) conversion with outstanding stability at 16 m A/cm^(2),thereby providing an innovative solution for efficient ammonia decomposition-based hydrogen production.展开更多
Curtain wall systems have evolved from aesthetic facade elements into multifunctional building envelopes that actively contribute to energy efficiency and climate responsiveness.This reviewpresents a comprehensive exa...Curtain wall systems have evolved from aesthetic facade elements into multifunctional building envelopes that actively contribute to energy efficiency and climate responsiveness.This reviewpresents a comprehensive examination of curtain walls from an energy-engineering perspective,highlighting their structural typologies(Stick and Unitized),material configurations,and integration with smart technologies such as electrochromic glazing,parametric design algorithms,and Building Management Systems(BMS).Thestudy explores the thermal,acoustic,and solar performance of curtain walls across various climatic zones,supported by comparative analyses and iconic case studies including Apple Park,Burj Khalifa,and Milad Tower.Key challenges—including installation complexity,high maintenance costs,and climate sensitivity—are critically assessed alongside proposed solutions.A central innovation of this work lies in framing curtain walls not only as passive architectural elements but as dynamic interfaces that modulate energy flows,reduce HVAC loads,and enhance occupant comfort.The reviewed data indicate that optimized curtain wall configurations—especially those integrating electrochromic glazing and BIPV modules—can achieve annual energy consumption reductions ranging fromapproximately 5%to 27%,depending on climate,control strategy,and facade typology.The findings offer a valuable reference for architects,energy engineers,and decision-makers seeking to integrate high-performance facades into future-ready building designs.展开更多
基金supported by the National Natural Science Foundation of China(No.51461025).
文摘The effect of the volume fraction of 3D-metal matrix composites(MMC)framework on the compressive properties of 3D interpenetrating hierarchical ZrO_(2)-toughened Al_(2)O_(3)particle(ZTAp)/40Cr steel composites was investigated.The results showed that the compressive properties of the material tended to decrease as the volume fraction of 3D-MMC framework increased.The composite with 35 vol.%3D-MMC had a yield strength of 1455.2 MPa and compressive strength of 1612.8 MPa,which occurred at a strain value of 5.6%.Compared to the homogeneously dispersed composite material,the composite with 35 vol.%3D-MMC had a 144.7%higher yield strength,which occurred at a 20%higher strain.An analysis of the cracks inside the material revealed that the crack was hindered and deflected by the matrix during propagation,which lengthened the crack propagation path and consumed more energy,thus leading to toughening.The results indicated that 3D interpenetrating hierarchical structure had a strengthening and toughening effect on ZTAp/40Cr composites.
基金financially supported by the National Natural Science Foundation of China(No.51802195)Chen Guang Scholar Project of Shanghai Education Commission(No.19CG53)。
文摘Three-dimensional(3D)functional graphenebased architecture with superior electrical conductivity and good mechanical strength has promising applications in energy storage and electrics.Viscoelasticity-adjustable inks make it possible to achieve desired 3D architectures with interconnected and continuous interior networks by microextrusion printing.In this work,ultra-low-concentration graphene oxide(GO)inks of~15 mg·ml-1 have been obtained and demonstrated in direct 3D printing with a facile cross-linking(direct ink writing).The rheological behavior of the GO strategy by cations,which is the lowest concentration to achieve direct ink writing inks,could be adjusted from 1×10^(4) to 1×10^(5) Pa·s^(-1) with different concentrations of cations due to strong cross-linking networks between GO sheets and cations.Meanwhile,the specific strength and electrical conductivity of 3D-printed graphene architecture are notably enhanced,reaching up to 51.7×10^(3) N·m·kg^(-1)and 119 S·m^(-1),which are superior to conventional graphene aerogels.Furthermore,3D printing graphene-based architecture assembled in micro-superc apacitor exhibits excellent electrochemical performance,which can be ascribed to the effective ion transportation through the interconnected networks.The strategy demonstrated is useful in the design of complex-shaped,graphene-based architectures for scalable manufacturing of practical energy storage applications.
文摘Carbon-based materials have gained significant attention in anticancer treatment because of their exceptional biocompatibility,yet critical challenges persist in establishing definitive correlations between their porous structures and functional performance.We report the use of a silica template to guide pore formation in the design of mesoporous carbon spheres(mC)with tailored pore structures for improved combined photothermal-chemotherapy.The mesopore size of mC has been adjusted by kinetic control of the resin polymerization and silica hydrolysis.Structural characterization showed that 4.4 nm mesopores enabled an exceptional gemcitabine loading of 228 mg g^(−1) and a sustained pH/thermal dual-responsive release with>70%drug release under near-infrared(NIR)irradiation.Finite element analysis demonstrated pore size-dependent heat transfer dynamics,with the improved mC achieving a superior photothermal conversion efficiency of 62%by a combination of N-doping and defect engineering.In vitro evaluations confirmed outstanding biocompatibility with>95%cell viability at 200μg mL^(−1) and potent tumor suppression in pancreatic and biliary cancer models with an~5%cell viability at 25μg mL^(−1) where combined therapy showed a 3.7-fold increased cytotoxicity over monotherapy.The improved structure of mC facilitated cascade therapeutic effects with enhanced tumor permeability derived from NIR-triggered hyperthermia and prolonged therapeutic exposure due to pH-responsive drug release.This pore engineering strategy establishes a structure-function process for next-generation theranostic platforms,addressing the critical limitations of conventional pancreatic and biliary cancer therapies through spatiotemporal control of multimodal treatment.
文摘Macro-architectured cellular （MAC） material is defined as a class of engineered materials having configurable cells of relatively large （i.e., visible） size that can be architecturally designed to achieve various desired material properties. Two types of novel MAC materials, negative Poisson＇s ratio material and biomimetic tendon reinforced material, were introduced in this study. To estimate the effective material properties for structural analyses and to optimally design such materials, a set of suitable homogenization methods was developed that provided an effective means for the multiscale modeling of MAC materials. First, a strain-based homogenization method was developed using an approach that separated the strain field into a homogenized strain field and a strain variation field in the local cellular domain superposed on the homogenized strain field. The principle of virtual displacements for the relationship between the strain variation field and the homogenized strain field was then used to condense the strain variation field onto the homogenized strain field. The new method was then extended to a stress-based homogenization process based on the principle of virtual forces and further applied to address the discrete systems represented by the beam or frame structures of the aforementioned MAC materials. The characteristic modes and the stress recovery process used to predict the stress distribution inside the cellular domain and thus determine the material strengths and failures at the local level are also discussed.
基金Major Project of the National Social Science Foundation of China“Historical Collation and Research of Cultural Exchanges Between Chinese and Foreign Craftsmen Along the Silk Road”(Approval No.22&ZD227)the Planning Project of Shaanxi Art Institute“Research on National Cultural Park Design”(Project No.YG2025001)part of the phased outcomes of the“Shaanxi Special Support Program for High-Level Talents”(Project Approval No.21HH02).
文摘The distinctive landscape of Zhujiayu Ancient Village in Zhangqiu District,Ji’nan,together with its long-established cultural traditions,has shaped a unique vernacular settlement character,within which traditional dwellings serve as a primary medium of regional culture.This study examines the residence of Zhu Fengyin,a jinshi degree holder,and adopts field investigation and measured drawing-based analysis.Discussion is organized around three dimensions:an overview of the dwelling,architectural form,and cultural expression.Particular attention is given to the multi-stage,multi-bay compound configuration developed in a mountainous setting,terrain-adaptive courtyard forms,and construction techniques.The analysis further interprets the concepts of ritual order and auspicious symbolism embedded in architectural decoration.By using this representative case,the study aims to deepen understanding of the architectural culture of gentry dwellings in the Ji’nan region and to provide an academic basis for the conservation and inheritance of traditional dwellings in the Ji’nan area.
基金supported by the National Nature Science Foundation of China(No.52402126)Shaanxi Province Qin Chuangyuan general window four chain integration project(No.2024PT-ZCK-09)+3 种基金Shaanxi Province military-civilian integration project(Shaanxi finance office【2024】22nd)Qinchuangyuan introducing high-level innovation and entrepreneurship talent projects(NO.QCYRCXM-2022-343)the China Postdoctoral Science Foundation(Grant Number:2025M772524)National Nature Science Foundation of China(22508239).
文摘Two-dimensional materials for flexible energy storage commonly facehuge challenges in limited active surface and hindered charge transport.Herein,wereport an innovative asymmetric pseudocapacitor based on synergistic design of modifiedMXene and graphene,integrating gas-induced rapid expansion technology andprecise surface chemical regulation methods.For graphene modification,rapid vaporizationinduces exfoliation and expansion of graphene oxide layers.Subsequently,pseudocapacitiveoxygen-containing groups were selectively introduced through acid oxidation,yielding expanded-and-oxidized graphene(OEG)for positive porous-nanopaperelectrode.For MXene modification,alkali-treated MXene underwent hydrazine assistance to facilitate gas expansion and-NH_(2)grafting,producing MXene-NH_(2)(NOM)for negative porous-nanopaper electrode.Density functional theory calculations show that-COOH moreeffectively modulate graphene’s electronic structure by inducing charge redistribution and creating active sites,thereby enhancing H^(+)adsorption and ion interactions compared to-OH.Meanwhile,-NH_(2)on MXene enable electron delocalization and dynamic Ti-N-H^(+)interactions,speeding up proton adsorption/desorption and boosting both pseudocapacitance and conductivity.Through collaborativeoptimized spatial architecture and surface properties,flexible OEGB and NOMB exhibited of 333.6 and 500.5 F g^(-1)at high mass loading,respectively.The assembled proton pseudocapacitor readily achieved energy and power densities of 58.9 Wh kg^(-1)and 3802 W kg^(-1),respectively,with excellent stability for potential applications.
基金supported by the Ministry of Education and Science of the Republic of North Macedonia through the project“Utilizing AI and National Large Language Models to Advance Macedonian Language Capabilties”。
文摘Artificial intelligence(AI)is reshaping financial systems and services,as intelligent AI agents increasingly form the foundation of autonomous,goal-driven systems capable of reasoning,learning,and action.This review synthesizes recent research and developments in the application of AI agents across core financial domains.Specifically,it covers the deployment of agent-based AI in algorithmic trading,fraud detection,credit risk assessment,roboadvisory,and regulatory compliance(RegTech).The review focuses on advanced agent-based methodologies,including reinforcement learning,multi-agent systems,and autonomous decision-making frameworks,particularly those leveraging large language models(LLMs),contrasting these with traditional AI or purely statistical models.Our primary goals are to consolidate current knowledge,identify significant trends and architectural approaches,review the practical efficiency and impact of current applications,and delineate key challenges and promising future research directions.The increasing sophistication of AI agents offers unprecedented opportunities for innovation in finance,yet presents complex technical,ethical,and regulatory challenges that demand careful consideration and proactive strategies.This review aims to provide a comprehensive understanding of this rapidly evolving landscape,highlighting the role of agent-based AI in the ongoing transformation of the financial industry,and is intended to serve financial institutions,regulators,investors,analysts,researchers,and other key stakeholders in the financial ecosystem.
基金financially supported by the Liaoning Revitalization Talents Program (No.XLYC2403107)the Excellent Youth Science Foundation of Liaoning Province (No.2024JH3/10200046)the Basic Scientific Research Project of Liaoning Provincial Department of Education (No.LJ212410163015)。
文摘Despite demonstrating significant anti-tumor potential as an artemisinin derivative,artesunate faces delivery efficiency challenges due to low water solubility and insufficient targeting specificity.To improve the delivery efficiency,we engineered three artesunate(ART) derivatives,AC_(15)-L(linear),AC_(15)-B(branched),and AC_(15)-C(cyclic) with distinct aliphatic chain architectures.Unexpectedly,we observed that AC_(15)-C exhibited superior cytotoxicity against 4T1 breast cancer cells,and had the highest binding affinity for Lon protease 1(LONP1)(-72.6 kcal/mol).Subsequently,disulfide bond-containing lipid-PEG(DSPESS-PEG2K) modified chain architecture-engineered ART derivatives nanoassemblies(NAs) were developed to mitigate solubility-related limitations while enhancing targeting precision.Molecular docking and experimental validation demonstrated that ART derivatives inhibited LONP1 through hydrophobic interactions while preserved Fe^(2+)-mediated Fenton-like reaction activity.In vitro and in vivo evaluations demonstrated that AC_(15)-C NAs outperformed free ART and other NAs,suppressing 4T1 tumor growth via dual action:LONP1-directed mitochondrial proteostasis collapse and reactive oxygen species(ROS) amplification through Fe^(2+)-ART interactions.This study elucidated a novel anti-tumor mechanism of ART through the rational design of derivatives with spatially configured aliphatic chains,and developed reductionresponsive NAs to provide an advanced delivery strategy.
文摘Your comments are welcome!Please feel free to contact us with your personal stories or vivid pictures!Address:24 Baiwanzhuang St.,Xicheng Dist.,Beijing,100037 E-mail:chinatodaynews@aliyun.com,I am the director of the Singapore Chinese Opera Museum.The museum,nestled in a serene neighborhood distinguished by its Southeast Asian architectural charm,chronicles Chinese opera’s centuries-long journey.
基金supported by the National Key R&D Program of China(2023YFD1300040 and 2022YFF1000100)the Sichuan Science and Technology Program,China(2022NSFSC0132,2021YFYZ0009 and 2022JDJQ0054)the National Natural Science Foundation of China(32225046)。
文摘The development of skeletal muscle are complicated processes involving genes responsible for proper muscle morphology,contractility,cell proliferation,differentiation,interactions,migration,and death.The three-dimensional chromatin architecture of skeletal muscle development has not been studied intensively although dynamic transcriptional regulation during differentiation of muscle cells is one of the most deeply studied processes.The RNA-seq was used to analyze the transcriptome pattern during chicken muscle development across 12 stages.Hi-C was used to build chromatin architectures during four representative stages.Ch IP-seq was conducted to identify enhancers and promoters in these four stages,which are occupied by histone H3K27ac and H3K4me3 peaks.Results show that large-scale genome architecture changes are mostly unidirectional,and coupled by complex on/off dynamic patterns of gene expression.Specifically,we observed 258.30 Mb of the genome undergoing A/B compartment switching.Notable alterations(316.57 Mb)of interaction frequencies within TADs were observed.Substantial aging-associated genes exhibited ascending connectivity with the compartment transition from repressive to active status during muscle development.Some muscle-related gene promoters that interacted with active enhancers during development,and some myopathy/aging-associated genes that were activated in aging muscle were founded.These results provide key insights into skeletal muscle development in vivo,and offer a valuable resource that allows in-depth functional characterization of candidate genes.
基金supported by the National Natural Science Foundation of China(32372192)the Core Technology Development for Breeding Program of Jiangsu Province(JBGS-2021-014)Jiangsu Key Laboratory of Soybean Biotechnology and Intelligent Breeding(BM2024005)。
文摘Soybean is an important source of oil,protein,and feed.However,its yield is far below that of major cereal crops.The green revolution increased the yield of cereal crops partially through high-density planting of lodging-resistant semi-dwarf varieties,but required more nitrogen fertilizers,posing an environmental threat.Genes that can improve nitrogen use efficiency need to be integrated into semi-dwarf varieties to avoid the overuse of fertilizers without the loss of dwarfism.Unlike cereal crops,soybean can assimilate atmospheric nitrogen through symbiotic bacteria.Here,we created new alleles of Gm GID1-2(Glycine max GIBBERELLIN INSENSITIVE DWARF 1-2)using clustered regularly interspaced short palindromic repeats(CRISPR)/CRISPR-associated nuclease 9(Cas9)editing,which improved soybean architecture,yield,seed oil content,and nitrogen fixation,by regulation of important pathways and known genes related to branching,lipid metabolism,and nodule symbiosis.Gm GID1-2 knockout reduced plant height,and increased stem diameter and strength,number of branches,nodes on the primary stem,pods,and seeds per plant,leading to an increase in seed weight per plant and yield in soybean.The nodule number,nodule weight,nitrogenase activity,and nitrogen content were also improved in Gm GID1-2knockout soybean lines,which is novel compared with the semi-dwarf genes in cereal crops.No loss-of-function allele for Gm GID1-2 was identified in soybean germplasm and the edited Gm GID1-2s are superior to the natural alleles,suggesting the Gm GID1-2 knockout mutants generated in this study are valuable genetic resources to further improve soybean yield and seed oil content in future breeding programs.This study illustrates the pleiotropic functions of the GID1 knockout alleles with positive effects on plant architecture,yield,and nitrogen fixation in soybean,which provides a promising strategy toward sustainable agriculture.
基金Funding for this research was provided by the Australia Grain Research and Development Corporation(9176507)the Western Crop Genetics Alliance.Jingye Cheng thanks The University of Tasmania,Australia for the scholarship(495802)。
文摘Improved yield potential is the goal of barley domestication and cultivation.During this process,two-and six-rowed barley types emerged and have been utilised in breeding and production.The six-rowed type could produce three times as many grains as its ancestral two-rowed forms,thus dominating barley cultivation for thousands of years.The deficiens form of the two-rowed type,characterised by extremely suppressed lateral spikelets,has gained dominance over the past few decades in barley-growing regions worldwide.We hypothesised that the absence of lateral spikelets in deficiens barley affects spike architecture and spike-related traits,contributing to its superior yield potential of deficiens barley cultivation.Currently,a deficiens barley variety,RGT Planet,is the most popular barley variety in the world.In this study,we used two F_(2) populations derived from crossing RGT Planet with two canonical two-rowed barley and identified the functional allele Vrs1.t1 associated with deficiens morphology.We observed that the Vrs1.t1 allele may contribute to high yield potential by optimising spike architecture through increased spikelet length,grain number,and grain size.Phylogenetic analysis suggests that the deficiens mutation was likely present from the early stages of barley cultivation in the Fertile Crescent and spread to Ethiopia and beyond with agricultural expansion.We conclude that the ancient deficiens allele Vrs1.t1 has been a critical driver for the recent success of modern barley improvement by optimising spike architecture.
基金supported by National Key Research and Development Program of China(No.2023YFB 4404200).
文摘Fault-tolerant systems are crucial for ensuring the reliability and availability of missioncritical applications in modern computing environments.The dynamic heterogeneous redundancy(DHR)architecture is a key component in constructing fault-tolerant systems,particularly in areas such as national security,power networks,and banking private networks.DHR is transforming the cyberspace security industry chain by accommodating a broader range of applications and increasingly capturing the market.However,the development of applications for DHR architecture encounters challenges due to the complexities of handling heterogeneity,managing dynamism,and maintaining usability.To address these issues,we introduce MimicStudio,a comprehensive development framework with a standardized workflow.To our knowledge,MimicStudio is the first effective solution for DHR software development.We present a detailed implementation of MimicStudio with a heterogeneous microcontroller unit project,encompassing three CPUs with different instruction set architectures.The paper evaluates MimicStudio’s support for essential features,including zero-copy synchronization,parallelized build,multi-core collaborative debugging,and dynamic adjustment of the software system’s structure.Our results show that MimicStudio provides a flexible and efficient solution for supporting the dynamic,heterogeneous,and redundant features of fault-tolerant systems.
基金Major Project of the National Social Science Foundation of China“Historical Collation and Research of Cultural Exchanges Between Chinese and Foreign Craftsmen Along the Silk Road”(Approval No.22&ZD227)the Planning Project of Shaanxi Art Institute“Research on National Cultural Park Design”(Project No.YG2025001).
文摘As a representative surviving example of residences associated with officials and merchants in the southwestern Shandong region of the lower Yellow River Basin,spanning the Ming and Qing Dynasties to the modern period,the Zhujia Courtyard in Shan County functions as a built medium through which commercial capital and clan culture were closely intertwined.Drawing on field investigation and a review of the literature,this study examines its architectural and cultural characteristics across five dimensions:an overview of the courtyard,spatial layout,structural system,decorative arts,and cultural meanings.The analysis points to four interrelated cores,including the spatial embodiment of Confucian ethics,the status aspirations of canal-based merchant groups,adaptive strategies shaped by Yellow River conditions,and the symbolic articulation of folk beliefs.
基金funded by Guangdong Basic and Applied Basic Research Foundation(2023B1515120064)National Natural Science Foundation of China(62273097).
文摘Deep learning has become integral to robotics,particularly in tasks such as robotic grasping,where objects often exhibit diverse shapes,textures,and physical properties.In robotic grasping tasks,due to the diverse characteristics of the targets,frequent adjustments to the network architecture and parameters are required to avoid a decrease in model accuracy,which presents a significant challenge for non-experts.Neural Architecture Search(NAS)provides a compelling method through the automated generation of network architectures,enabling the discovery of models that achieve high accuracy through efficient search algorithms.Compared to manually designed networks,NAS methods can significantly reduce design costs,time expenditure,and improve model performance.However,such methods often involve complex topological connections,and these redundant structures can severely reduce computational efficiency.To overcome this challenge,this work puts forward a robotic grasp detection framework founded on NAS.The method automatically designs a lightweight network with high accuracy and low topological complexity,effectively adapting to the target object to generate the optimal grasp pose,thereby significantly improving the success rate of robotic grasping.Additionally,we use Class Activation Mapping(CAM)as an interpretability tool,which captures sensitive information during the perception process through visualized results.The searched model achieved competitive,and in some cases superior,performance on the Cornell and Jacquard public datasets,achieving accuracies of 98.3%and 96.8%,respectively,while sustaining a detection speed of 89 frames per second with only 0.41 million parameters.To further validate its effectiveness beyond benchmark evaluations,we conducted real-world grasping experiments on a UR5 robotic arm,where the model demonstrated reliable performance across diverse objects and high grasp success rates,thereby confirming its practical applicability in robotic manipulation tasks.
基金supported by the China Three Gorges Corporation(No.NBZZ202300860)the National Natural Science Foundation of China(No.52275104)the Science and Technology Innovation Program of Hunan Province(No.2023RC3097).
文摘Deep learning-based wind turbine blade fault diagnosis has been widely applied due to its advantages in end-to-end feature extraction.However,several challenges remain.First,signal noise collected during blade operation masks fault features,severely impairing the fault diagnosis performance of deep learning models.Second,current blade fault diagnosis often relies on single-sensor data,resulting in limited monitoring dimensions and ability to comprehensively capture complex fault states.To address these issues,a multi-sensor fusion-based wind turbine blade fault diagnosis method is proposed.Specifically,a CNN-Transformer Coupled Feature Learning Architecture is constructed to enhance the ability to learn complex features under noisy conditions,while a Weight-Aligned Data Fusion Module is designed to comprehensively and effectively utilize multi-sensor fault information.Experimental results of wind turbine blade fault diagnosis under different noise interferences show that higher accuracy is achieved by the proposed method compared to models with single-source data input,enabling comprehensive and effective fault diagnosis.
文摘In the training studio of the School of Architecture and Engineering at Xizang Vocational Technical College,Lhasa,Gyatso,a senior artist specializing in Tibetan-style architectural decorative painting,bent over to demonstrate a student how to paint.His left hand steadied the painting board,while his right hand held a brush pen to present the Tibetan-style painting technique of"blurring"-dipping the brush lightly into the pigment,spreading it from dark to light on the paper.The eight-petaled lotus,a symbol of auspiciousness,gradually took shape,blossoming with layers of vitality.
文摘From the perspective of Multimodal Metaphor Theory,the architectural scenes in Ne Zha 2 embody highly condensed cultural connotations.Through the synergy of vision,soundscape,and dialect,the film constructs a metaphorical chain of“human order-ethnic oppression-theocratic structure”via the three core architectural spaces.As core signifiers,buildings drive the plot,shape characters,and convey values.The study reveals that animation activates traditional architecture’s metaphorical potential through cross-modal mapping,endowing historical symbols with contemporary vitality and providing a paradigm for the creative transformation of traditional culture.
基金provided by the National Natural Science Foundation of China (No.52573275)Taishan Scholars Program of Shandong Province (No.tsqn202507205)+4 种基金Youth Innovation Team of Higher Education Institutions in Shandong Province (No.2023KJ105)Collaborative Innovation Center of Yellow River Basin Pharmaceutical Green Manufacturing and Engineering Equipment,University of Jinan,Jinan 250022,ChinaJinan City University Integration Development Strategy Project (No.JNSX2023021)supported by Talents’ plan Foundation of Guangdong Second Provincial General Hospital (No.2024D003)Science and Technology Projects in Guangzhou (No.2025A04J4629)。
文摘Conversion of ammonia into hydrogen,a crucial pathway for the hydrogen economy,is severely constrained by the intricacy of the required equipment and the low efficiency.Herein,Pd@Pt Ni Co Ru Ir coreshell mesoporous bifunctional electrocatalysts were fabricated via a one-step wet-chemical reduction approach.By utilizing the limiting effect of triblock copolymers,gradient distribution control of six metal elements(Pd core and Pt/Ni/Co/Ru/Ir high-entropy alloys shell) was achieved,where the high-entropy alloy shell forms high-density active sites through lattice distortion effect.With the help of lattice distortion and mesoporous-confinement-enabled interfacial coupling effects,Pd@Pt Ni Co Ru Ir catalyst exhibited exceptional bifunctional performance in alkaline media:A low hydrogen evolution reaction(HER) overpotential of 30.5 m V at 10 m A/cm^(2) and a high ammonia oxidation reaction(AOR) peak current density of 19.6 m A/cm^(2) at 0.7 V vs.RHE,representing a 3.83-fold enhancement over commercial Pt/C.Moreover,a rechargeable Zn-NH_(3) battery system was constructed and achieved 92.3 % Faradaic efficiency(FE) for NH_(3)-to-H_(2) conversion with outstanding stability at 16 m A/cm^(2),thereby providing an innovative solution for efficient ammonia decomposition-based hydrogen production.
文摘Curtain wall systems have evolved from aesthetic facade elements into multifunctional building envelopes that actively contribute to energy efficiency and climate responsiveness.This reviewpresents a comprehensive examination of curtain walls from an energy-engineering perspective,highlighting their structural typologies(Stick and Unitized),material configurations,and integration with smart technologies such as electrochromic glazing,parametric design algorithms,and Building Management Systems(BMS).Thestudy explores the thermal,acoustic,and solar performance of curtain walls across various climatic zones,supported by comparative analyses and iconic case studies including Apple Park,Burj Khalifa,and Milad Tower.Key challenges—including installation complexity,high maintenance costs,and climate sensitivity—are critically assessed alongside proposed solutions.A central innovation of this work lies in framing curtain walls not only as passive architectural elements but as dynamic interfaces that modulate energy flows,reduce HVAC loads,and enhance occupant comfort.The reviewed data indicate that optimized curtain wall configurations—especially those integrating electrochromic glazing and BIPV modules—can achieve annual energy consumption reductions ranging fromapproximately 5%to 27%,depending on climate,control strategy,and facade typology.The findings offer a valuable reference for architects,energy engineers,and decision-makers seeking to integrate high-performance facades into future-ready building designs.
