Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for...Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications.展开更多
Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/...Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/chemical stability.To enhance the performance of intrinsic g-CN,a supramolecular self-assembly strategy has been proposed to regulate the molecular structure of supramolecular precursors through non-covalent interactions across molecular building blocks,thereby optimizing the electronic structure of g-CN.This review provides a comprehensive overview of the recent progress in supramolecular self-assembly-derived graphitic carbon nitride(SM-CN)from both experimental and theoretical computational research in synthesis strategies,including synthesis methods and influencing factors,providing a theoretical foundation for the design of supramolecular assembly.It also discusses modification strategies,such as internal modification of the conjugated plane,interlayer optimization,and construction of heterointerfaces to improve the electronic structure of SM-CN owing to its unique layered structure.This review further summarizes the applications of SM-CN in environment and energy,including wastewater treatment,sterilization and disinfection/air purification,water splitting,H2O2production,organic synthesis/biomass conversion,CO2reduction,photocatalytic coupling technology.Finally,perspectives and outlooks for the future development of SM-CN aim to inspire further innovation in the design and construction of high-performance SM-CN for broader applications.展开更多
The mid-infrared(MIR)spectral window,typically spanning wavelengths from 2.5 to 20μm(or wave numbers 500-4000 cm−1),constitutes a pivotal domain of the electromagnetic spectrum,where molecular vibrational and rota...The mid-infrared(MIR)spectral window,typically spanning wavelengths from 2.5 to 20μm(or wave numbers 500-4000 cm−1),constitutes a pivotal domain of the electromagnetic spectrum,where molecular vibrational and rotational transitions enable precise spectroscopic identification and tunable thermal radiation modulation.Mastery over this spectral range underpins a broad and growing suite of technologies,encompassing high-resolution MIR imaging and spectroscopic gas sensing,advanced thermal management via radiative cooling/heating and dynamic emissivity control,integrated photonic platforms featuring low-loss optical windows and waveguides,as well as MIR laser systems that leverage broadband transparency for efficient frequency conversion and beam delivery.High MIR transmittance(TMIR)is therefore essential for driving MIR photonic innovations,enabling efficient photon transmission,modulation,and targeted heat control.Yet,the fundamental interplay among material structure,photonic/electronic behavior,and MIR optical performance remains underexplored.This review comprehensively evaluates high TMIR materials,with an emphasis on their optical mechanisms,structural attributes,synthesis routes,and performance benchmarks.By elucidating structure-property relationships and offering design strategies for MIR transparency,this review provides a roadmap for developing high-performance MIR transparent materials for advanced thermal management,infrared optics,and next-generation photonic systems.展开更多
Additive manufacturing(AM),globally referred to as 3D printing,is a highly flexible manufacturing method that enables the design and creation of complex geometries with ease.This review article comprehensively examine...Additive manufacturing(AM),globally referred to as 3D printing,is a highly flexible manufacturing method that enables the design and creation of complex geometries with ease.This review article comprehensively examines the materials,methods,and applications of AM specifically for the space sector,while identifying current research gaps and proposing future directions.The primary advantages of AM over conventional subtractive manufacturing for space implementations include economic efficiency,unparalleled design freedom,high customizability,tailor-made production,and the ability to process a wide range of materials including metals,polymers,composites,and ceramics.The article focuses on space-grade materials such as high-performance alloys,polymers,and ceramics used in applications ranging from electronic equipment to propulsion systems.It provides a detailed analysis of prevalent metal AM techniques like powder bed fusion and directed energy deposition,as well as non-metal methods including used deposition modeling and selective laser sintering.Through specific case studies,it demonstrates how AM enables part consolidation,weight reduction,and the production of multifunctional components with integrated capabilities.This review will help readers comprehend current trends in space additive manufacturing and understand its future potential in next-generation space applications,from in-situ manufacturing to the realization of fully additively manufactured spacecraft.展开更多
服务质量(quality of service,QoS)感知云API推荐系统在解决云API过载问题、差异化云API性能和实现高质量云API选择中具有重要作用.但由于网络环境的开放性和云API的货币属性,推荐系统易受到投毒攻击,从而导致推荐结果偏离公平性和可信...服务质量(quality of service,QoS)感知云API推荐系统在解决云API过载问题、差异化云API性能和实现高质量云API选择中具有重要作用.但由于网络环境的开放性和云API的货币属性,推荐系统易受到投毒攻击,从而导致推荐结果偏离公平性和可信性.现有防御方法主要采用“检测防御”策略,即在模型训练前通过检测算法滤除恶意用户来缓解攻击影响,但受限于检测算法性能,不可避免地会出现无法将恶意用户全部滤除的情形.为此,从“以攻学防”的视角提出一种基于可信数据增强的QoS感知云API推荐系统投毒攻击持续防御方法.首先构建基于可信数据增强的投毒攻击防御框架,通过生成高质量可信用户数据并参与模型训练来增强推荐系统的鲁棒性.其次,设计基于扩散模型的可信用户生成算法.采用迭代去噪的方式学习真实云API的QoS数据分布,生成高质量的可信用户向量,消解投毒攻击数据对训练模型的影响.最后,基于真实云API的QoS数据集进行大量实验,利用3类11种推荐算法全面评估所提防御方法的有效性和普适性.实验结果表明,所提出的基于可信数据增强的投毒攻击持续防御框架是有效的,生成的可信用户可显著提高云API推荐系统的鲁棒性.展开更多
MBenes,an emerging family of two-dimensional(2D)transition metal borides,have attracted considerable interest owing to their tunable electronic structures,rich physicochemical properties,and broad application potentia...MBenes,an emerging family of two-dimensional(2D)transition metal borides,have attracted considerable interest owing to their tunable electronic structures,rich physicochemical properties,and broad application potential.In recent years,extensive research efforts have led to the development of diverse synthetic strategies and a rapidly expanding range of applications across multiple disciplines.Although several excellent reviews have summarized the progress of MBenes from specific perspectives,a comprehensive review that innovatively categorizes their synthesis methods,unique properties,and functional applications remains absent.To address this gap,this review provides a thorough overview of the synthesis,structural attributes,distinctive properties,and diverse applications of MBenes.Beginning with a critical evaluation of synthesis methodologies,the review highlights advances in etching and delamination techniques,along with their impacts on material morphology and structure.It further examines the electronic structure and surface chemistry of MBenes to elucidate their physicochemical and mechanical properties.Subsequently,the key performance metrics of MBenes are comprehensively surveyed in applications spanning energy storage and conversion,physical devices,sensors,water purification,and biomedical fields.Finally,the review discusses persistent challenges such as scalable synthesis and defect control,and suggests promising future research directions,including green synthesis routes,machine learning-assisted optimization,and the integration of multifunctional devices.By positioning MBenes as a versatile platform for interdisciplinary innovation,this work aims to provide foundational insights that will guide the development of next-generation 2D materials.展开更多
As a globally known medicinal and aromatic herb,Artemisia argyi(A.argyi)has excellent health benefit and economic value,especially in the field of anti-pathogenic microorganisms.At present,pathogens such as parasites,...As a globally known medicinal and aromatic herb,Artemisia argyi(A.argyi)has excellent health benefit and economic value,especially in the field of anti-pathogenic microorganisms.At present,pathogens such as parasites,fungi,bacteria,and viruses,pose a serious threat to human health and environmentally friendly,becoming a substantial global medical burden.Researchers worldwide are focusing on developing natural antibacterial drugs.Thereinto,we collected data on the pharmacological effects of A.argyi on pathogenic microorganisms from ancient Chinese herbal texts and medical books,and the publications referring to the effects of A.argyi on bacteria,fungi,viruses,and other pathogenic microorganisms from 2005 to 2025.Simultaneously,patent searches were conducted to explore the development and utilization of the anti-pathogenic activity of A.argyi in various fields over the past 20 years.We found that A.argyi has excellent efficacy and extensive practical applications against pathogenic microorganisms.Modern studies have confirmed its inhibitory effects on common bacteria such as Escherichia coli and Staphylococcus aureus;human and crop pathogenic fungi such as Candida albicans and Aspergillus niger;and viruses such as herpes zoster virus,respiratory syncytial virus,and hepatitis B virus.Moreover,the development and application of anti-pathogenic activity of A.argyi are broad.In brief,this study provides perspectives for fully utilizing the advantages of A.argyi in anti-pathogenic effect,and supporting its potential for functional product development and applications in the fields of daily health products,agriculture and the pharmaceutical industry.展开更多
Carbon nanotube(CNT)research is strongly constrained by the coupled relationships among synthesis conditions,multiscale structure,and functional performance,which make rational optimization difficult using trial-and-e...Carbon nanotube(CNT)research is strongly constrained by the coupled relationships among synthesis conditions,multiscale structure,and functional performance,which make rational optimization difficult using trial-and-error alone.Artificial intelligence(Al)is emerging as a useful set of tools for navigating this complexity,particularly under data-scarce experimental conditions.This review summarizes recent progress in AI-assisted CNT research across three connected stages:synthesis optimization,automated characterization,and application-oriented structure-property modeling.Current evidence shows that supervised learning and Bayesian optimization can accelerate the exploration of CNT growth windows,whereas computer vision and spectral learning can convert microscopy and spectroscopy outputs into quantitative descriptors for downstream modeling.We further discuss emerging language model-based literature mining workflows while emphasizing that their CNTspecific validation remains less mature than that of synthesis and characterization models.Finally,we outline the major barriers to model transferability,including small heterogeneous datasets,inconsistent reporting,and uncertainty in characterizationderived labels and highlight how standardized descriptors and closed-loop workflows could make AI more actionable in CNT research.展开更多
Peptide-conjugated lanthanide-based materials are emerging as highly promising platforms in molecular biosensing and bioimaging,offering new opportunities for advancing diagnostic technologies in biomedical applicatio...Peptide-conjugated lanthanide-based materials are emerging as highly promising platforms in molecular biosensing and bioimaging,offering new opportunities for advancing diagnostic technologies in biomedical applications.The unique photophysical(e.g.,sharp emission bands,long luminescence lifetimes)and magnetic(e.g.,paramagnetism,high relaxivity)properties of lanthanide ions and nanomaterials,when combined with the molecular specificity and biocompatibility of peptides,create a synergistic system that significantly enhances detection sensitivity and imaging resolution.Peptides,owing to their structural diversity and the chemical functionalities of their amino acid residues,can be designed to exhibit high selectivity toward specific molecular targets.Their inherent modularity and ease of chemical modification make them ideal ligands for co njugation with lanthanides,facilitating the fabrication of highly tunable diagnostic probes.This synergy enables precise molecular recognition,selective targeting,and efficient signal transduction in both biosensing platforms and imaging modalities such as fluorescence,magnetic resonance imaging(MRI),and computed tomography(CT).This review provides an informative and comprehensive overview of recent advances in peptide-lanthanide hybrid systems,covering their design strategies,synthesis approaches,functionalization techniques,and biomedical applications.We examine their applicability across diverse platforms,including biosensing technologies,advanced imaging modalities,targeted drug delivery systems,and tissue scaffolding.Key developments in these areas are highlighted to emphasize their emerging significance in bio medical applications.Furthermo re,we critically assess the curre nt challenges and knowledge gaps in the field,proposing future directions for research at the intersection of bioorganic chemistry,materials science,and molecular diagnostics.By illuminating the synergistic interactions between peptides and lanthanide-based materials,this work underscores their transformative potential in next-generation biosensing and bioimaging applications.展开更多
Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance ...Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance and scalability,as current trends require the distribution of computation across network nodes/points.In this paper,we survey a large number of mapping and scheduling techniques designed for NoC architectures.This time,we concentrated on 3D systems.We take a systematic literature review approach to analyze existing methods across static,dynamic,hybrid,and machine-learning-based approaches,alongside preliminary AI-based dynamic models in recent works.We classify them into several main aspects covering power-aware mapping,fault tolerance,load-balancing,and adaptive for dynamic workloads.Also,we assess the efficacy of each method against performance parameters,such as latency,throughput,response time,and error rate.Key challenges,including energy efficiency,real-time adaptability,and reinforcement learning integration,are highlighted as well.To the best of our knowledge,this is one of the recent reviews that identifies both traditional and AI-based algorithms for mapping over a modern NoC,and opens research challenges.Finally,we provide directions for future work toward improved adaptability and scalability via lightweight learned models and hierarchical mapping frameworks.展开更多
Biodegradable metals(BMs)have shown significant potential for applications in the field of orthopedic implants.These materials gradually degrade after implantation,eventually disappear without residue,provide necessar...Biodegradable metals(BMs)have shown significant potential for applications in the field of orthopedic implants.These materials gradually degrade after implantation,eventually disappear without residue,provide necessary mechanical support during degradation,and closely integrate with bone tissues.Fe-based BMs are particularly notable for their good mechanical properties and biocompatibility.However,their slow degradation rate is a limitation.The emergence of Mn-incorporated Fe-based alloys(Fe-Mn alloys)offers the possibilities for addressing issues of slow degradation rate and incompatibility of magnetic resonance imaging(MRI)for Fe alloys.This review summarizes the advantages of Fe-Mn alloys as orthopedic implants,and the cutting-edge advances in degradation,mechanical and magnetic properties,and osteogenic performance.The cytotoxicity issue is addressed for the porous structured Fe-Mn alloys caused by the enrichment of manganese ions,and thus the main challenge and the development are involved for the Fe-Mn alloys to achieve a balance among biocompatibility,structure,and degradation rate.Also the perspectives are proposed for Fe-Mn alloys as orthopedic implants.展开更多
Rechargeable aqueous zinc-ion batteries(AZIBs)have received considerable attention in recent years because of their high safety,low cost,and environmental friendliness.The properties of cathode materials are vital for...Rechargeable aqueous zinc-ion batteries(AZIBs)have received considerable attention in recent years because of their high safety,low cost,and environmental friendliness.The properties of cathode materials are vital for the further development of AZIBs.Graphene-based composite materials have emerged as promising cathode materials for AZIBs on account of their superior electrical conductivity and excellent electrochemical performance.Considering the rapidly progress of graphene-based composites,we comprehensively summarize the recent progress in the applications of graphene-based composites as the cathode in AZIBs.Furthermore,the relationships between their synthetic methods,nano-and microstructures,and electrochemical performance are systematically concluded and discussed.Finally,rational suggestions and prospects for the future development of graphene-based composites are also proposed.展开更多
The role of volatile organic compounds(VOCs)in food,medicine,and agriculture is gaining significant attention.This comprehensive review delves into the biosynthetic pathways,regulatory and bioactivity profiles,and pro...The role of volatile organic compounds(VOCs)in food,medicine,and agriculture is gaining significant attention.This comprehensive review delves into the biosynthetic pathways,regulatory and bioactivity profiles,and prospects of VOCs,encompassing a spectrum from volatile terpenoids to phenolics,aldehydes,ketones,and acids.We commence with an exploration of the diverse biosynthetic routes of VOCs,focusing on the methylerythritol phosphate,mevalonate,and phenylpropanoid pathways and elucidating the key enzymes and intermediates.Subsequently,we examine the bioactivity of VOCs,highlighting their antibacterial,anticancer,anti-inflammatory,antioxidative,anthelmintic,and anti-mood disorder properties,and discuss their potential applications in the food,medicinal,and agricultural fields.This review highlights the need for future studies to focus on regulating the biosynthesis of VOCs,unraveling their bioactivity,and developing efficient synthetic and extraction methods to enable sustainable advancements in related fields.展开更多
Eucommia ulmoides is an important economic forest tree species in China,of which the different tissues and organs are widely used in traditional medicine for their abundant bioactive ingredients.Previous studies alway...Eucommia ulmoides is an important economic forest tree species in China,of which the different tissues and organs are widely used in traditional medicine for their abundant bioactive ingredients.Previous studies always focused on the Eucommia gum,a potential alternative to natural rubber because of its“rubber plastic duality”.In recent years,Eucommia has increasingly attracted more attention and interest for its excellent nutritional and economic value,with the deepening of research and the development of products involving in the application of bioactive ingredients.However,the dietary health effects and future application prospects of the bioactive components of E.ulmoides have not been systematically summarized.Therefore,we firstly reviewed the main bioactive ingredients category,structural characteristics,extraction methods and nutritive value.Furthermore,we also summarized the wide application of bioactive ingredients in food and medicine fields.Finally,this review provides a comprehensive overview of the safety and future development of products derived from E.ulmoides,as well as exploring potential applications for its bioactive constituents,aiming to facilitate further extensive investigation into its utilization.展开更多
Spent mushroom substrate(SMS),the residual byproduct of mushroom cultivation,represents a nutrient-rich agro-residues with potential for paddy field application.This study evaluated the effect of direct SMS applicatio...Spent mushroom substrate(SMS),the residual byproduct of mushroom cultivation,represents a nutrient-rich agro-residues with potential for paddy field application.This study evaluated the effect of direct SMS application on rice yield,yield components,biomass production,and nitrogen uptake(NU),aiming to provide useful information for fresh SMS utilization in paddy.Field experiments were conducted using a split-plot design with three replications,three SMS rates(0,9,and 18 t ha−1 dry matter)as the main plots and three nitrogen(N)(0,90,180 kg ha−1)as subplots in 2023 and 2024.Each plot was planted with rice cultivars Jingliangyou-534(2023–2024)and Yongyou-1540(2024).Results indicated that SMS application(9 and 18 t ha−1)significantly increased nitrogen content in straw and grain at maturity by 8.54%–41.42%and 1.71%–16.27%,respectively.Correspondingly,NU in straw,grain,and aboveground increased by 11.85%–92.81%,11.22%–43.59%,and 11.28%–53.18%,respectively.Aboveground biomass,panicles per m2 and spikelets per panicle increased by 6.83%–27.66%,0.44%–24.54%,and 5.01%–13.26%,respectively;no consistent effects were observed on setting rate for either cultivar across both years.Grain yield improved by 4.70%–23.57%,compared with no SMS application.These findings provide preliminary evidence that fresh SMS(≤18 t ha−1 dry matters)can be applied directly,without composting,as a convenient and effective strategy to enhance rice productivity,though further studies are needed to clarify the mechanisms underlying increased N uptake.展开更多
In this paper,we provide a comprehensive examination of the evolution of graphics Application Programming Interfaces(APIs).We begin by exploring traditional graphics APIs,elucidating their distinct features and inhere...In this paper,we provide a comprehensive examination of the evolution of graphics Application Programming Interfaces(APIs).We begin by exploring traditional graphics APIs,elucidating their distinct features and inherent challenges.This sets the stage for a detailed exploration of modern graphics APIs,with a focus on four critical design principles.These principles are further analyzed through specific case studies and categorical examinations.The paper then introduces MoerEngine,a bespoke rendering engine,as a practical case to demonstrate the real-world application of these modern principles in software engineering.In conclusion,the study offers insights into the potential future trajectory of graphics APIs,spotlighting emerging design patterns and technological innovations.It also ventures to predict the development trends and capabilities of next-generation graphics APIs.展开更多
Metal hybrid additive-subtractive manufacturing,a cutting-edge approach in modern manufacturing technology,enables a unified improvement in design flexibility and manufacturing accuracy by synergistically integrating ...Metal hybrid additive-subtractive manufacturing,a cutting-edge approach in modern manufacturing technology,enables a unified improvement in design flexibility and manufacturing accuracy by synergistically integrating the free-form capability of additive manufacturing(AM)with the precision machining advantages of subtractive manufacturing(SM).This technology demonstrates significant value,particularly in the fabrication and repair of complex stainless-steel components,overcoming the limitations of traditional processing of geometric configurations while ensuring dimensional accuracy and surface quality through subsequent finishing processes.This paper systematically reviews the latest research progress in metal hybrid additive-subtractive manufacturing,focusing on analyzing typical process methods and applicable material types.In response to application demands in fields such as aerospace,medical devices,and the automotive industry,this paper explores the potential of this technology in the manufacturing of stainless-steel components,as well as its current applications in remanufacturing and repair.Additionally,the two process forms of sequential and collaborative manufacturing are compared in depth,and the differences between the two modes were analyzed.Finally,future technological development trends are summarized and discussed.展开更多
基金support from the Contract Research(“Development of Breathable Fabrics with Nano-Electrospun Membrane”,CityU ref.:9231419“Research and application of antibacterial and healing-promoting smart nanofiber dressing for children’s burn wounds”,CityU ref:PJ9240111)+1 种基金the National Natural Science Foundation of China(“Study of Multi-Responsive Shape Memory Polyurethane Nanocomposites Inspired by Natural Fibers”,Grant No.51673162)Startup Grant of CityU(“Laboratory of Wearable Materials for Healthcare”,Grant No.9380116).
摘要Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications.
基金supported by the National Natural Science Foundation of China(NSFC No.52271228)the Natural Science Foundation of Shaanxi Province(No.2023-JC-ZD-21)the Doctoral Dissertation Innovation Fund of Xi'an University of Technology(No.101-252072301)。
摘要Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/chemical stability.To enhance the performance of intrinsic g-CN,a supramolecular self-assembly strategy has been proposed to regulate the molecular structure of supramolecular precursors through non-covalent interactions across molecular building blocks,thereby optimizing the electronic structure of g-CN.This review provides a comprehensive overview of the recent progress in supramolecular self-assembly-derived graphitic carbon nitride(SM-CN)from both experimental and theoretical computational research in synthesis strategies,including synthesis methods and influencing factors,providing a theoretical foundation for the design of supramolecular assembly.It also discusses modification strategies,such as internal modification of the conjugated plane,interlayer optimization,and construction of heterointerfaces to improve the electronic structure of SM-CN owing to its unique layered structure.This review further summarizes the applications of SM-CN in environment and energy,including wastewater treatment,sterilization and disinfection/air purification,water splitting,H2O2production,organic synthesis/biomass conversion,CO2reduction,photocatalytic coupling technology.Finally,perspectives and outlooks for the future development of SM-CN aim to inspire further innovation in the design and construction of high-performance SM-CN for broader applications.
基金support from the National Natural Science Foundation of China(52203070)the Natural Science Foundation of Hubei Province(2025AFB863)+1 种基金support from the Global STEM Professorship Scheme sponsored by the Government of Hong Kong Special Administrative Region,Start-up funding from The Chinese University of Hong Kong,2024 Shenzhen-Hong Kong-Macao Science and Technology Program(Category C)(SGDX20230821094659005)Innovation and Technology Fund(ITS/221/23).
摘要The mid-infrared(MIR)spectral window,typically spanning wavelengths from 2.5 to 20μm(or wave numbers 500-4000 cm−1),constitutes a pivotal domain of the electromagnetic spectrum,where molecular vibrational and rotational transitions enable precise spectroscopic identification and tunable thermal radiation modulation.Mastery over this spectral range underpins a broad and growing suite of technologies,encompassing high-resolution MIR imaging and spectroscopic gas sensing,advanced thermal management via radiative cooling/heating and dynamic emissivity control,integrated photonic platforms featuring low-loss optical windows and waveguides,as well as MIR laser systems that leverage broadband transparency for efficient frequency conversion and beam delivery.High MIR transmittance(TMIR)is therefore essential for driving MIR photonic innovations,enabling efficient photon transmission,modulation,and targeted heat control.Yet,the fundamental interplay among material structure,photonic/electronic behavior,and MIR optical performance remains underexplored.This review comprehensively evaluates high TMIR materials,with an emphasis on their optical mechanisms,structural attributes,synthesis routes,and performance benchmarks.By elucidating structure-property relationships and offering design strategies for MIR transparency,this review provides a roadmap for developing high-performance MIR transparent materials for advanced thermal management,infrared optics,and next-generation photonic systems.
摘要Additive manufacturing(AM),globally referred to as 3D printing,is a highly flexible manufacturing method that enables the design and creation of complex geometries with ease.This review article comprehensively examines the materials,methods,and applications of AM specifically for the space sector,while identifying current research gaps and proposing future directions.The primary advantages of AM over conventional subtractive manufacturing for space implementations include economic efficiency,unparalleled design freedom,high customizability,tailor-made production,and the ability to process a wide range of materials including metals,polymers,composites,and ceramics.The article focuses on space-grade materials such as high-performance alloys,polymers,and ceramics used in applications ranging from electronic equipment to propulsion systems.It provides a detailed analysis of prevalent metal AM techniques like powder bed fusion and directed energy deposition,as well as non-metal methods including used deposition modeling and selective laser sintering.Through specific case studies,it demonstrates how AM enables part consolidation,weight reduction,and the production of multifunctional components with integrated capabilities.This review will help readers comprehend current trends in space additive manufacturing and understand its future potential in next-generation space applications,from in-situ manufacturing to the realization of fully additively manufactured spacecraft.
摘要服务质量(quality of service,QoS)感知云API推荐系统在解决云API过载问题、差异化云API性能和实现高质量云API选择中具有重要作用.但由于网络环境的开放性和云API的货币属性,推荐系统易受到投毒攻击,从而导致推荐结果偏离公平性和可信性.现有防御方法主要采用“检测防御”策略,即在模型训练前通过检测算法滤除恶意用户来缓解攻击影响,但受限于检测算法性能,不可避免地会出现无法将恶意用户全部滤除的情形.为此,从“以攻学防”的视角提出一种基于可信数据增强的QoS感知云API推荐系统投毒攻击持续防御方法.首先构建基于可信数据增强的投毒攻击防御框架,通过生成高质量可信用户数据并参与模型训练来增强推荐系统的鲁棒性.其次,设计基于扩散模型的可信用户生成算法.采用迭代去噪的方式学习真实云API的QoS数据分布,生成高质量的可信用户向量,消解投毒攻击数据对训练模型的影响.最后,基于真实云API的QoS数据集进行大量实验,利用3类11种推荐算法全面评估所提防御方法的有效性和普适性.实验结果表明,所提出的基于可信数据增强的投毒攻击持续防御框架是有效的,生成的可信用户可显著提高云API推荐系统的鲁棒性.
基金the financial support from the National Natural Science Foundation of China(52202374,52471050,52331033,and 52171126)the Natural Science Foundation of Hebei Province(E2023203255,HY2024050009,and B2025005011)+1 种基金the Ministry of Education Yangtze River Scholar Professor Program(T2020124)the Science Research Project of Hebei Education Department(BJK2024087)。
摘要MBenes,an emerging family of two-dimensional(2D)transition metal borides,have attracted considerable interest owing to their tunable electronic structures,rich physicochemical properties,and broad application potential.In recent years,extensive research efforts have led to the development of diverse synthetic strategies and a rapidly expanding range of applications across multiple disciplines.Although several excellent reviews have summarized the progress of MBenes from specific perspectives,a comprehensive review that innovatively categorizes their synthesis methods,unique properties,and functional applications remains absent.To address this gap,this review provides a thorough overview of the synthesis,structural attributes,distinctive properties,and diverse applications of MBenes.Beginning with a critical evaluation of synthesis methodologies,the review highlights advances in etching and delamination techniques,along with their impacts on material morphology and structure.It further examines the electronic structure and surface chemistry of MBenes to elucidate their physicochemical and mechanical properties.Subsequently,the key performance metrics of MBenes are comprehensively surveyed in applications spanning energy storage and conversion,physical devices,sensors,water purification,and biomedical fields.Finally,the review discusses persistent challenges such as scalable synthesis and defect control,and suggests promising future research directions,including green synthesis routes,machine learning-assisted optimization,and the integration of multifunctional devices.By positioning MBenes as a versatile platform for interdisciplinary innovation,this work aims to provide foundational insights that will guide the development of next-generation 2D materials.
基金supported by the Noncommunicable Chronic Diseases-National Science and Technology Major Project(No.2024ZD0530702)the Natural Science Foundation of Hubei Province(Nos.2025AFB820,and 2024AFD241)+1 种基金Hubei Provincial Science and Technology Plan Project-Major Technological Innovation(No.2025BCA007)Hubei Key Research Base of Humanities and Social Sciences-Hubei Health Industry Development Research Center(No.2025Z01).
摘要As a globally known medicinal and aromatic herb,Artemisia argyi(A.argyi)has excellent health benefit and economic value,especially in the field of anti-pathogenic microorganisms.At present,pathogens such as parasites,fungi,bacteria,and viruses,pose a serious threat to human health and environmentally friendly,becoming a substantial global medical burden.Researchers worldwide are focusing on developing natural antibacterial drugs.Thereinto,we collected data on the pharmacological effects of A.argyi on pathogenic microorganisms from ancient Chinese herbal texts and medical books,and the publications referring to the effects of A.argyi on bacteria,fungi,viruses,and other pathogenic microorganisms from 2005 to 2025.Simultaneously,patent searches were conducted to explore the development and utilization of the anti-pathogenic activity of A.argyi in various fields over the past 20 years.We found that A.argyi has excellent efficacy and extensive practical applications against pathogenic microorganisms.Modern studies have confirmed its inhibitory effects on common bacteria such as Escherichia coli and Staphylococcus aureus;human and crop pathogenic fungi such as Candida albicans and Aspergillus niger;and viruses such as herpes zoster virus,respiratory syncytial virus,and hepatitis B virus.Moreover,the development and application of anti-pathogenic activity of A.argyi are broad.In brief,this study provides perspectives for fully utilizing the advantages of A.argyi in anti-pathogenic effect,and supporting its potential for functional product development and applications in the fields of daily health products,agriculture and the pharmaceutical industry.
基金supported by the National Key Research and Development Program(Grants 2020YFC2201103 and 2020YFA0210702)the National Natural Science Foundation of China(Grant 22075163)+2 种基金the Red Avenue Innovation R&D Foundation,the Beijing Natural Science Foundation(Grant 2264107)the CNPC Innovation Fund(Grant 2024DQ02-0409)Ordos Laboratory(20232000757).
摘要Carbon nanotube(CNT)research is strongly constrained by the coupled relationships among synthesis conditions,multiscale structure,and functional performance,which make rational optimization difficult using trial-and-error alone.Artificial intelligence(Al)is emerging as a useful set of tools for navigating this complexity,particularly under data-scarce experimental conditions.This review summarizes recent progress in AI-assisted CNT research across three connected stages:synthesis optimization,automated characterization,and application-oriented structure-property modeling.Current evidence shows that supervised learning and Bayesian optimization can accelerate the exploration of CNT growth windows,whereas computer vision and spectral learning can convert microscopy and spectroscopy outputs into quantitative descriptors for downstream modeling.We further discuss emerging language model-based literature mining workflows while emphasizing that their CNTspecific validation remains less mature than that of synthesis and characterization models.Finally,we outline the major barriers to model transferability,including small heterogeneous datasets,inconsistent reporting,and uncertainty in characterizationderived labels and highlight how standardized descriptors and closed-loop workflows could make AI more actionable in CNT research.
基金Project supported by the National Natural Science Foundation of China(22305107,22074057,21775059)the National Natural Science Foundation of Gansu Province(20YF3FA025,18YF1NA004)。
摘要Peptide-conjugated lanthanide-based materials are emerging as highly promising platforms in molecular biosensing and bioimaging,offering new opportunities for advancing diagnostic technologies in biomedical applications.The unique photophysical(e.g.,sharp emission bands,long luminescence lifetimes)and magnetic(e.g.,paramagnetism,high relaxivity)properties of lanthanide ions and nanomaterials,when combined with the molecular specificity and biocompatibility of peptides,create a synergistic system that significantly enhances detection sensitivity and imaging resolution.Peptides,owing to their structural diversity and the chemical functionalities of their amino acid residues,can be designed to exhibit high selectivity toward specific molecular targets.Their inherent modularity and ease of chemical modification make them ideal ligands for co njugation with lanthanides,facilitating the fabrication of highly tunable diagnostic probes.This synergy enables precise molecular recognition,selective targeting,and efficient signal transduction in both biosensing platforms and imaging modalities such as fluorescence,magnetic resonance imaging(MRI),and computed tomography(CT).This review provides an informative and comprehensive overview of recent advances in peptide-lanthanide hybrid systems,covering their design strategies,synthesis approaches,functionalization techniques,and biomedical applications.We examine their applicability across diverse platforms,including biosensing technologies,advanced imaging modalities,targeted drug delivery systems,and tissue scaffolding.Key developments in these areas are highlighted to emphasize their emerging significance in bio medical applications.Furthermo re,we critically assess the curre nt challenges and knowledge gaps in the field,proposing future directions for research at the intersection of bioorganic chemistry,materials science,and molecular diagnostics.By illuminating the synergistic interactions between peptides and lanthanide-based materials,this work underscores their transformative potential in next-generation biosensing and bioimaging applications.
基金the Deanship of Graduate Studies and Scientific Research at University of Bisha for supporting this work through the Fast-Track Research Support Programthe Deanship of Scientific Research at Northern Border University,Arar,KSA for funding this research work through the project number“NBU-FFR-2025-2903-09”.
摘要Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance and scalability,as current trends require the distribution of computation across network nodes/points.In this paper,we survey a large number of mapping and scheduling techniques designed for NoC architectures.This time,we concentrated on 3D systems.We take a systematic literature review approach to analyze existing methods across static,dynamic,hybrid,and machine-learning-based approaches,alongside preliminary AI-based dynamic models in recent works.We classify them into several main aspects covering power-aware mapping,fault tolerance,load-balancing,and adaptive for dynamic workloads.Also,we assess the efficacy of each method against performance parameters,such as latency,throughput,response time,and error rate.Key challenges,including energy efficiency,real-time adaptability,and reinforcement learning integration,are highlighted as well.To the best of our knowledge,this is one of the recent reviews that identifies both traditional and AI-based algorithms for mapping over a modern NoC,and opens research challenges.Finally,we provide directions for future work toward improved adaptability and scalability via lightweight learned models and hierarchical mapping frameworks.
基金financially supported by the Shandong Province Natural Science Foundation(No.ZR2023ME181)the National Natural Science Foundation of China(No.52305313)the Natural Science Foundation of Hunan Province(Nos.2023JJ40553 and 2023JJ60433)。
摘要Biodegradable metals(BMs)have shown significant potential for applications in the field of orthopedic implants.These materials gradually degrade after implantation,eventually disappear without residue,provide necessary mechanical support during degradation,and closely integrate with bone tissues.Fe-based BMs are particularly notable for their good mechanical properties and biocompatibility.However,their slow degradation rate is a limitation.The emergence of Mn-incorporated Fe-based alloys(Fe-Mn alloys)offers the possibilities for addressing issues of slow degradation rate and incompatibility of magnetic resonance imaging(MRI)for Fe alloys.This review summarizes the advantages of Fe-Mn alloys as orthopedic implants,and the cutting-edge advances in degradation,mechanical and magnetic properties,and osteogenic performance.The cytotoxicity issue is addressed for the porous structured Fe-Mn alloys caused by the enrichment of manganese ions,and thus the main challenge and the development are involved for the Fe-Mn alloys to achieve a balance among biocompatibility,structure,and degradation rate.Also the perspectives are proposed for Fe-Mn alloys as orthopedic implants.
基金supported by the Frontier Exploration Projects of Longmen Laboratory(No.LMQYTSKT008)the Natural Science Foundation of Henan Province(No.242300420021)+3 种基金the Open Fund of State Key Laboratory of Advanced Refractories(No.SKLAR202210)the Student Research Training Plan of Henan University of Science and Technology(No.2024054)the Undergraduate Innovation and Entrepreneurship Training Program of Henan Province(No.S202310464012)The Innovation Fund of Henan University of Science and Technology(No.2023-S01)。
摘要Rechargeable aqueous zinc-ion batteries(AZIBs)have received considerable attention in recent years because of their high safety,low cost,and environmental friendliness.The properties of cathode materials are vital for the further development of AZIBs.Graphene-based composite materials have emerged as promising cathode materials for AZIBs on account of their superior electrical conductivity and excellent electrochemical performance.Considering the rapidly progress of graphene-based composites,we comprehensively summarize the recent progress in the applications of graphene-based composites as the cathode in AZIBs.Furthermore,the relationships between their synthetic methods,nano-and microstructures,and electrochemical performance are systematically concluded and discussed.Finally,rational suggestions and prospects for the future development of graphene-based composites are also proposed.
基金supported by the National Natural Science Foundation of China(32122069)the Beijing Outstanding Young Scientist Program(BJJWZYJH01201910011025)。
摘要The role of volatile organic compounds(VOCs)in food,medicine,and agriculture is gaining significant attention.This comprehensive review delves into the biosynthetic pathways,regulatory and bioactivity profiles,and prospects of VOCs,encompassing a spectrum from volatile terpenoids to phenolics,aldehydes,ketones,and acids.We commence with an exploration of the diverse biosynthetic routes of VOCs,focusing on the methylerythritol phosphate,mevalonate,and phenylpropanoid pathways and elucidating the key enzymes and intermediates.Subsequently,we examine the bioactivity of VOCs,highlighting their antibacterial,anticancer,anti-inflammatory,antioxidative,anthelmintic,and anti-mood disorder properties,and discuss their potential applications in the food,medicinal,and agricultural fields.This review highlights the need for future studies to focus on regulating the biosynthesis of VOCs,unraveling their bioactivity,and developing efficient synthetic and extraction methods to enable sustainable advancements in related fields.
基金financially supported by the National Natural Science Foundation of China(32201586 and 32301760)Key Specialized Research and Development Program in Henan Province(232102110218)+1 种基金Postdoctoral Research Start-Up Fund of Henan Province(HN2022112)Special Fund for Young Talents in Henan Agricultural University(30501318).
摘要Eucommia ulmoides is an important economic forest tree species in China,of which the different tissues and organs are widely used in traditional medicine for their abundant bioactive ingredients.Previous studies always focused on the Eucommia gum,a potential alternative to natural rubber because of its“rubber plastic duality”.In recent years,Eucommia has increasingly attracted more attention and interest for its excellent nutritional and economic value,with the deepening of research and the development of products involving in the application of bioactive ingredients.However,the dietary health effects and future application prospects of the bioactive components of E.ulmoides have not been systematically summarized.Therefore,we firstly reviewed the main bioactive ingredients category,structural characteristics,extraction methods and nutritive value.Furthermore,we also summarized the wide application of bioactive ingredients in food and medicine fields.Finally,this review provides a comprehensive overview of the safety and future development of products derived from E.ulmoides,as well as exploring potential applications for its bioactive constituents,aiming to facilitate further extensive investigation into its utilization.
基金funded by the Guizhou Provincial Basic Research Program(Natural Science)(Grant No.ZK[2025]022)the Key Laboratory of High Quality,High Efficiency,and Yield Enhancement in Grain and Oil Crops(Qian-Ke-He-Platform ZSYS[2025]037).
摘要Spent mushroom substrate(SMS),the residual byproduct of mushroom cultivation,represents a nutrient-rich agro-residues with potential for paddy field application.This study evaluated the effect of direct SMS application on rice yield,yield components,biomass production,and nitrogen uptake(NU),aiming to provide useful information for fresh SMS utilization in paddy.Field experiments were conducted using a split-plot design with three replications,three SMS rates(0,9,and 18 t ha−1 dry matter)as the main plots and three nitrogen(N)(0,90,180 kg ha−1)as subplots in 2023 and 2024.Each plot was planted with rice cultivars Jingliangyou-534(2023–2024)and Yongyou-1540(2024).Results indicated that SMS application(9 and 18 t ha−1)significantly increased nitrogen content in straw and grain at maturity by 8.54%–41.42%and 1.71%–16.27%,respectively.Correspondingly,NU in straw,grain,and aboveground increased by 11.85%–92.81%,11.22%–43.59%,and 11.28%–53.18%,respectively.Aboveground biomass,panicles per m2 and spikelets per panicle increased by 6.83%–27.66%,0.44%–24.54%,and 5.01%–13.26%,respectively;no consistent effects were observed on setting rate for either cultivar across both years.Grain yield improved by 4.70%–23.57%,compared with no SMS application.These findings provide preliminary evidence that fresh SMS(≤18 t ha−1 dry matters)can be applied directly,without composting,as a convenient and effective strategy to enhance rice productivity,though further studies are needed to clarify the mechanisms underlying increased N uptake.
基金supported by ZTE Industry-University-Institute Cooperation Funds under Grant No.IA20230921014。
摘要In this paper,we provide a comprehensive examination of the evolution of graphics Application Programming Interfaces(APIs).We begin by exploring traditional graphics APIs,elucidating their distinct features and inherent challenges.This sets the stage for a detailed exploration of modern graphics APIs,with a focus on four critical design principles.These principles are further analyzed through specific case studies and categorical examinations.The paper then introduces MoerEngine,a bespoke rendering engine,as a practical case to demonstrate the real-world application of these modern principles in software engineering.In conclusion,the study offers insights into the potential future trajectory of graphics APIs,spotlighting emerging design patterns and technological innovations.It also ventures to predict the development trends and capabilities of next-generation graphics APIs.
基金supported by National Natural Science Foundation of China(Grant No.52305362).
摘要Metal hybrid additive-subtractive manufacturing,a cutting-edge approach in modern manufacturing technology,enables a unified improvement in design flexibility and manufacturing accuracy by synergistically integrating the free-form capability of additive manufacturing(AM)with the precision machining advantages of subtractive manufacturing(SM).This technology demonstrates significant value,particularly in the fabrication and repair of complex stainless-steel components,overcoming the limitations of traditional processing of geometric configurations while ensuring dimensional accuracy and surface quality through subsequent finishing processes.This paper systematically reviews the latest research progress in metal hybrid additive-subtractive manufacturing,focusing on analyzing typical process methods and applicable material types.In response to application demands in fields such as aerospace,medical devices,and the automotive industry,this paper explores the potential of this technology in the manufacturing of stainless-steel components,as well as its current applications in remanufacturing and repair.Additionally,the two process forms of sequential and collaborative manufacturing are compared in depth,and the differences between the two modes were analyzed.Finally,future technological development trends are summarized and discussed.