The integration of Internet of Things(IoT)infrastructures with Distributed Ledger Technologies(DLT)remains challenging due to the reliance on complex,tightly coupled back-end systems or centralized oracle services tha...The integration of Internet of Things(IoT)infrastructures with Distributed Ledger Technologies(DLT)remains challenging due to the reliance on complex,tightly coupled back-end systems or centralized oracle services that hinder scalability,maintainability,and trust.This paper introduces a lightweight middleware architecture based on a Low-Code Development Platform(LCDP)that enables flexible and secure IoT-to-blockchain orchestration.We develop a custom workflow extension for the n8n platform that supports direct interaction with smart contracts,thereby removing the need for third-party oracle intermediaries.The proposed system was evaluated in a real-world deployment involving a network of Netatmo environmental sensors and the Alastria consortium blockchain.Experimental results show that the middleware can process 12 concurrent sensor data streams with an average end-to-end latency of 37.4 s,a delay dominated by the blockchain consensus time rather than middleware overhead,while ensuring the generation of immutable and verifiable audit trails.These findings demonstrate that low-code orchestration can deliver an effective,scalable,and fault-tolerant alternative for integrating IoT infrastructures with blockchain in Industry 4.0 environments.展开更多
The sensitivity and quantification capability of surface-enhanced Raman scattering(SERS)substrates are mutually exclusive,because the ultrasensitive SERS sites(hottest spots)necessary for the sensitivity will signific...The sensitivity and quantification capability of surface-enhanced Raman scattering(SERS)substrates are mutually exclusive,because the ultrasensitive SERS sites(hottest spots)necessary for the sensitivity will significantly magnify the SERS signals of the analyte molecules and thus each of these molecules will be miscounted to be hundreds during the quantification process.We demonstrate a concept to circumvent the above contradiction by engineering a timeshare SERS platform capable of working at the quantitative or the sensitive mode on demand.The timeshare SERS platform was constructed by transferring a monolayer gold nanosphere film onto elastic substrates(e.g.,hydrogel).The volume change of the hydrogel could adjust the inter-nanosphere distance,dynamically controlling the formation or extinction of the SERS hottest spots on the same SERS substrate without influencing the spatial distribution of the analyte molecules.The timeshare SERS platform without the SERS hottest spots showed strong quantification capability,while when equipped with a substantial number of the SERS hottest spots exhibited ultrahigh sensitivity.We demonstrated quantitative and ultrasensitive detection of various analyte molecules using the quantitative and the sensitive mode of the timeshare SERS platform,respectively.We opened an avenue towards designing SERS substrates with both high sensitivity and strong quantification capability.展开更多
The world’s first big data and intelligent design platform for magnesium materials,“MagNova”,jointly developed by Mingyue Lake Laboratory,Chongqing University,and the National Engineering Research Center for Magnes...The world’s first big data and intelligent design platform for magnesium materials,“MagNova”,jointly developed by Mingyue Lake Laboratory,Chongqing University,and the National Engineering Research Center for Magnesium Alloys,was officially launched.展开更多
In the context of global warming,the increasing frequency of extreme weather events,meteorological disasters,and regional pollution events highlights the urgent need for targeted atmospheric observations in ecological...In the context of global warming,the increasing frequency of extreme weather events,meteorological disasters,and regional pollution events highlights the urgent need for targeted atmospheric observations in ecologically sensitive regions.The atmospheric boundary layer top remains a critical yet under-observed interface in climate and environmental research.To respond to this need,the Atmospheric Boundary Layer Eco-Environment Shanghuang Observatory(ABLES)was established in 2023 by the Institute of Atmospheric Physics,Chinese Academy of Sciences in Jinhua,southeastern China.As a high-altitude,state-of-the-art research platform,ABLES addresses the critical need for comprehensive atmospheric and environmental observations in East Asia.The observatory facilitates interdisciplinary research focusing on three core areas:(1)cross-sphere transport of pollutants between atmospheric layers and its environmental and climatic impacts;(2)physical and chemical interactions between clouds and aerosols under extreme weather conditions;and(3)multiscale feedback mechanisms between climate change and ecosystems.ABLES is also aimed at revealing long-term patterns in greenhouse gases,ozone depleting substances,and cloud properties,and to elaborate the formation mechanisms of severe weather events such as thunderstorms and freezing rain.The findings at ABLES will support advances in weather forecasting,air quality modeling,and adaptive strategies for climate resilience.As part of China's growing environmental monitoring network,ABLES has been collaborating with various research organizations,serving as a cooperative research platform for technological development and evidence-based environmental policymaking.展开更多
X-ray free electron laser(XFEL)plays a critical role in diagnosing dynamic compression processes in micro-and meso-scale materials.To deepen our understanding of XFEL physics and optimize facility design,a preliminary...X-ray free electron laser(XFEL)plays a critical role in diagnosing dynamic compression processes in micro-and meso-scale materials.To deepen our understanding of XFEL physics and optimize facility design,a preliminary XFEL experimental simulation platform was developed based on the highperformance computing(HPC)simulation workflow application platform(HSWAP).HSWAP provides workflow,component,and data linkage models for XFEL experiments,enabling flexible simulation of diverse processes through modular configurations.This platform was employed to investigate X-ray diffraction(XRD)of microscale materials and phase contrast imaging(PCI)of meso-scale explosive samples.Simulation results for XRD of a metallic sample under shock loading and PCI of voids in explosive materials demonstrate the platform’s ability to accurately reproduce experimental dynamics.By integrating numerical models with data analysis,the platform enhances the design of XFEL experiments and provides a foundation for interpreting diagnostic capabilities in ultrafast processes.Future work will focus on refining simulation methods for meso-scale samples using phase-field approaches and high-Z materials under shock conditions.展开更多
During maritime navigation,the operational reliability of onboard communication and radar equipment systems is disrupted by wave-induced vessel motions.To ensure the stable performance of these critical systems,a mari...During maritime navigation,the operational reliability of onboard communication and radar equipment systems is disrupted by wave-induced vessel motions.To ensure the stable performance of these critical systems,a marine dual-axis compensation platform is developed for active roll and pitch motion compensation.However,the stochastic nature of wave disturbances and the nonlinear characteristics of permanent magnet synchronous motors significantly complicate precise motion compensation.To address these limitations,a triple-loop coordinated controller architecture is proposed in this study.In this architecture,the outer position loop implements linear active disturbance rejection control(LADRC)to estimate and compensate for total position disturbance.A sliding mode control(SMC)-based velocity loop facilitates steady velocity adjustment,whereas an inner current loop leverages internal model control(IMC)to decouple cross-coupled electromotive forces and simplify parameterization.Simulation results for vessel motion reveal that the proposed LADRC-SMC-IMC hybrid system enhances compensation accuracy and stability by approximately 46.6%and 39%,respectively,compared with the triple-loop proportional-integral(PI)controller.Experimental validation of the simulation results confirms that the proposed system improves compensation accuracy by approximately 21.8%,exhibiting comparable compensation stability with that of the PI controller.Actual vessel tests confirm that the LADRC-SMC-IMC controller effectively compensates for vessel motion disturbances under Sea State II conditions.Notably,the numerical simulations and physical experiments confirm the effectiveness and viability of the architecture,underscoring its substantial application potential for marine motion compensation systems.展开更多
The Tanintharyi Shelf in the Andaman Sea Basin hosts a significant yet largely underexplored Cenozoic carbonate platform with substantial hydrocarbon potential.This study utilizes an integrated analysis of high-resolu...The Tanintharyi Shelf in the Andaman Sea Basin hosts a significant yet largely underexplored Cenozoic carbonate platform with substantial hydrocarbon potential.This study utilizes an integrated analysis of high-resolution 2D and 3D seismic reflection data,well data,and regional stratigraphic information to elucidate the morphological evolution of this platform and assess its implications for hydrocarbon reservoirs.The findings reveal that the platform started in the Early Miocene as isolated patch reefs on fault-bounded structural highs,eventually evolving into an asymmetric,westward-dipping rimmed shelf.Its development was influenced by the interaction of syn-sedimentary tectonics,which created accommodation space and a paleotopography that shielded the shelf from clastic influx,along with eustatic sea-level fluctuations that caused cycles of sediment buildup,subaerial exposure(leading to karstification),and back-stepping.Ultimately,the platform was drowned and buried during the Middle to Late Miocene due to accelerated post-rift subsidence combined with increased siliciclastic input,the latter driven by the Neogene uplift of the Tibetan Plateau.The reservoir potential varies across the platform,with the highest concentrations in wave-resistant reefal margin facies and potential dolomitized zones on paleo-highs,where primary porosity was enhanced by meteoric diagenesis.However,reservoir quality is compartmentalized due to tight cementation and mud-rich intervals.The widespread presence of gas chimneys and pockmarks indicates that the platform functions both as a reservoir and a conduit for fluid migration.Therefore,this study establishes a predictive tectonostratigraphic framework,emphasizing that successful exploration in this complex environment requires high-resolution mapping of facies boundaries,diagenetic features,and fault architecture,combined with seal integrity analysis.The findings offer a new model for understanding the evolution of carbonate reservoirs in tectonically active,rift-margin settings worldwide.展开更多
Cultural eutrophication,driven primarily by anthropogenic activities,poses a severe threat to freshwater biodiversity.Aimed to evaluate how nutrient elements affect the phytoremediation potential of floating-bed plant...Cultural eutrophication,driven primarily by anthropogenic activities,poses a severe threat to freshwater biodiversity.Aimed to evaluate how nutrient elements affect the phytoremediation potential of floating-bed plants and to assessed select optimal species for ecological restoration.We investigated the functional traits of three floating-bed plants—edible Oenanthe javanica,Ipomoea aquatica,and ornamental Myriophyllum aquaticum—in Qiandaohu Lake,an oligo-mesotrophic reservoir in China.A mesocosm experiment was conducted using different eutrophic nitrogen(N)and phosphorus(P)concentrations.Plant functional traits[shoot,root,and total biomass,relative growth rate(RGR),and maximum quantum yield of photosystemⅡ(Fv/Fm)]and plant net N and P purification efficiency(μ)were measured.The results revealed that plant species significantly influenced all the traits,with P exerting a stronger effect than N;thus,P was identified as a critical limiting factor for growth and remediation performance,underscoring its role in cultural eutrophication.Specifically,M.aquaticum exhibited optimal eutrophication purification efficiency at high N and P concentrations.However,as an introduced non-invasive plant,M.aquaticum should be used cautiously for phytoremediation.This study highlights the application of floating-bed platforms in oligo-mesotrophic reservoirs,bridging ecological restoration with socioeconomic value.展开更多
OBJECTIVE:To identify candidate biomarkers of blood stasis syndrome(BSS)associated with coronary artery disease(CAD)and explore the underlying inflammatory mechanisms.Methods:Using the Olink Target 96 Inflammation pan...OBJECTIVE:To identify candidate biomarkers of blood stasis syndrome(BSS)associated with coronary artery disease(CAD)and explore the underlying inflammatory mechanisms.Methods:Using the Olink Target 96 Inflammation panel,we identified plasma proteins in a group of 88 patients comprised of healthy controls(HCs),those with CAD and BSS(CAD-BSS),those with CAD without BSS(CADnon-BSS),and those with BSS without CAD(non-CADBSS)(n=22 in each group).Protein molecules that were specifically expressed in CAD or BSS were identified by differential expression analyses.Subsequently,potential protein biomarkers were identified using least absolute shrinkage and selection operator regression to enable CAD and BSS differentiation.The potential functional mechanisms of identified proteins were then determined by Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses.RESULTS:Patients with CAD had 31/92 upregulated and 4/92 downregulated proteins compared with those without.Chemokine(C-C motif)ligand 11(CCL11),CUB domain-containing protein 1,hepatocyte growth factor,sirtuin 2(SIRT2),eukaryotic translation initiation factor 4E-binding protein 1(4E-BP1),CCL25,and tumor necrosis factor(TNF)showed the strongest upregulation(all P<0.0001).Patients with BSS had 8/92 downregulated proteins,specifically CCL28,CCL11,cystatin D,STAM-binding protein,4E-BP1,matrix metalloproteinase-10,SIRT2,and monocyte chemotactic protein 4,compared with those without(all P<0.05).The CAD-BSS group had one interleukin-17(IL-17)upregulated and 10/92 downregulated proteins compared with the CAD-non-BSS group.When compared with the non-CAD-BSS group,the CAD-BSS group had 8 upregulated proteins but only 2 downregulated proteins,namely interleukin-10 receptor subunit alpha(IL-10RA)and TNF-related activation-induced cytokine(both P<0.05).Totally 10 proteins were identified as potential candidate biomarkers of BSS in CAD patients.After least absolute shrinkage and selection operator regression analysis,two proteins that distinguished between BSS and non-BSS individuals among CAD patients were identified(SIRT2 and 4E-BP1).These proteins are primarily associated with the mechanistic target of rapamycin signaling pathway,which regulates inflammation and oxidative stress.CONCLUSIONS:Results suggest that the inflammatory response and mechanistic target of rapamycin signaling pathway participate in CAD and BSS development,and that SIRT2 and 4E-BP1 are prospective protein biomarkers for patients with CAD and BSS.展开更多
Digital technology transforms and represents intangible cultural heritage(ICH)into shareable and reproducible digital forms,exerting a profound impact through digital platforms on its inheritance and development,which...Digital technology transforms and represents intangible cultural heritage(ICH)into shareable and reproducible digital forms,exerting a profound impact through digital platforms on its inheritance and development,which traditionally rely on immediacy and physical presence.Against the backdrop of the internet and accelerated social mobility,in which the fluidity of time and space has become a hallmark of modern society,the platform logic of digital ICH serves as a critical lens to examine the phenomena of“disembedding”and“re-embedding”in the digital era.From the perspective of“disembedding,”digital platforms facilitate the spatiotemporal displacement of ICH’s living spaces,the multidimensional expansion of ICH discourse narratives,and the popularization of regional group cultures.From the perspective of“re-embedding,”influenced by factors such as national strategic guidance,the prevalence of digital platforms,the rise of cultural consumption,and the awakening of local cultural consciousness,digital ICH undergoes value reconstruction in its contemporary inheritance and development.It transforms from remnants of lived experience into capital,culture,and emotion that resonate with contemporary individuals,thereby“re-embedding”into the daily lives of the public and achieving dynamic inheritance and development in the context of the new era.展开更多
The Smart Education of China platform for primary and secondary education(SECPSE)serves as a crucial support for achieving the digital transformation of classroom teaching.Focusing on the practical efficacy of this pl...The Smart Education of China platform for primary and secondary education(SECPSE)serves as a crucial support for achieving the digital transformation of classroom teaching.Focusing on the practical efficacy of this platform in empowering classroom teaching,this study employs a mixed-methods approach.It conducts a questionnaire survey involving 69,304 primary and secondary school teachers nationwide,supplemented by an in-depth analysis of teaching behaviors and epistemic networks of 20 typical cases,as well as a grounded theory analysis of 845 demand texts.This comprehensive investigation systematically explores the platform's application status,typical models,and optimization pathways.The findings reveal that,firstly,teachers exhibit relatively high overall satisfaction with the platform,and its application has preliminarily formed a pattern covering the entire teaching process.Secondly,the application of the SECPSE in classroom teaching primarily manifests in three typical models.The tool-enabled model deeply embeds technology into the teaching process through on-demand utilization of platform resources and tools.The dual-teacher model leverages expert teacher video lectures from the platform to implement collaborative teaching between online experts and offline teachers,effectively expanding the coverage of high-quality resources.The self-directed inquiry model relies on the platform's learning resources,task-pushing capabilities,and learning analytics to promote students'autonomous knowledge construction.Thirdly,based on the grounded theory,a model encompassing content,tool,service,and mechanism needs is constructed.Accordingly,targeted optimization strategies are proposed.These include optimizing content supply to build a precise resource ecosystem,upgrading tool functionalities to enhance teaching adaptability,improving service support to establish a full-coverage guarantee system,and innovating mechanism development to stimulate momentum for sustained application.The theoretical model and methodological strategies constructed in this study may provide theoretical support and practical references for the promotion and application of the SECPSE.展开更多
Portable ratiometric fluorescent platforms have emerged as promising tools for multifarious detection,yet remain unexplored for point-of-care monitoring doxorubicin(DOX),one of clinically antineoplastic drugs.To this ...Portable ratiometric fluorescent platforms have emerged as promising tools for multifarious detection,yet remain unexplored for point-of-care monitoring doxorubicin(DOX),one of clinically antineoplastic drugs.To this end,we herein develop a portable self-calibrating platform namely carbon dots(C-dots)-embedded hydrogel sensors with a smartphone-assisted high-throughput imaging device,for DOX sensing.The prepared green-emitting(λem=508 nm)and negatively-charged C-dots(−11.40±1.21 mV),which have sufficient spectral overlap with the absorption band of DOX(∼500 nm),can strongly bind with positively-charged DOX molecules by electrostatic attraction effects.As a result,DOX molecules are selectively and rapid(20 s)determined with a detection limit of 10.26 nmol/L via Förster resonance energy transfer processes,demonstrating a remarkably chromatic shift from green to red.Further integrated with a 3D-printed smartphone-assisted device,the platform enabled high-throughput quantification,achieving recoveries of 96.40%-101.85%in human urine/serum(RSDs<2.94%,n=3).Notably,the dual linear detection ranges of the platform align with the reported clinical DOX concentrations in urine and plasma(0-4 h post-administration),validating their capability for direct quantification of DOX in clinical samples without special pre-treatment processes.By virtue of attractive analytical performances and robust feasibility,this platform bridges laboratory precision and point-of-care testing needs,offering promising potential for personalized chemotherapy and multiplexed analyte screening.展开更多
Jacket offshore platforms are commonly subjected to wave loading,which induces undesirable structural vibrations and can lead to integrity issues,including failure or collapse.This study investigates the mitigation of...Jacket offshore platforms are commonly subjected to wave loading,which induces undesirable structural vibrations and can lead to integrity issues,including failure or collapse.This study investigates the mitigation of wave-induced vibrations in jacket offshore platforms using inerter-based tuned mass damper(ITMD)systems.A theoretical model of the platform equipped with ITMDs,subjected to realistic wave loading,is developed,and its dynamic responses across various sea states are analytically determined.To ensure practical applicability,a performance-oriented optimization is conducted to identify the optimal ITMD parameters,with deck displacement minimization as the primary objective.A parametric analysis examines the influence of ITMD parameters on the platform’s dynamic behavior.The effectiveness of the ITMD system in suppressing vibrations is assessed and compared directly with that of a conventional tuned mass damper(TMD).Results indicate that the optimized ITMD system outperforms the traditional TMD in reducing both deck displacements and inter-story drifts,achieving superior performance with a lower system mass.The ITMD is therefore concluded to be a promising solution for vibration control in jacket offshore platforms.展开更多
Acute lung injury(ALI)and its more severe form,acute respiratory distress syndrome(ARDS),are lifethreatening pulmonary disorders with extremely high mortality rates,for which effective and safe therapeutic strategies ...Acute lung injury(ALI)and its more severe form,acute respiratory distress syndrome(ARDS),are lifethreatening pulmonary disorders with extremely high mortality rates,for which effective and safe therapeutic strategies remain limited.The development of targeted and biocompatible drug delivery systems is urgently needed to control pulmonary inflammatory cascades while minimizing systemic toxicity.Plant-derived extra-cellular vesicles offer a naturally safe and anti-inflammatory platform for therapeutic delivery.Ginsenoside Rb1(GRb1),a major bioactive compound from ginseng,possesses potent anti-inflammatory and anti-apoptotic properties,whereas lemon-derived EVs(LEVs)exhibit intrinsic antioxidant and anti-inflammatory effects.Here,we engineered a multifunctional,biocompatible drug delivery platform,GRb1@LEVs-cRGD,in which ginsenoside Rb1 is incorporated into and fused with LEVs to form hybrid bio-nanovesicles,while the vesicle surface is functionalized with cyclic RGD(cRGD)peptides to target integrinαvβ3 highly expressed in inflamed pulmonary tissues,thereby enhancing site-specific delivery.In vitro and in vivo studies confirmed that GRb1@LEVs-cRGD effectively inhibited M1 macrophage polarization,suppressed inflammatory cascades,and preserved epithelial-endothelial integrity.Furthermore,exogenous cholesterol loading improved vesicle stabil-ity,maintained the pH gradient,and enhanced the loading efficiency of tigecycline and vancomycin by six-fold.In murine models of bacterial pneumonia induced by carbapenem-resistant Klebsiella pneumoniae and methicillin-resistant Staphylococcus aureus,antibiotic-loaded GRb1@LEVs-cRGD efficiently accumulated at infection sites and exhibited synergistic anti-inflammatory and bactericidal effects.Overall,this study demonstrates that GRb1@LEVs-cRGD is a safe,targeted,and multifunctional therapeutic platform with significant potential for ALI/ARDS treatment.展开更多
Paired electrochemical valorization reactions(EVRs)offer a sustainable route for co-producing value-added chemicals,yet their efficiency is hindered by overlapping potential windows with water electrolysis reactions(W...Paired electrochemical valorization reactions(EVRs)offer a sustainable route for co-producing value-added chemicals,yet their efficiency is hindered by overlapping potential windows with water electrolysis reactions(WER).Here,an asymmetric CuOx@Ag electrocatalyst platform is proposed that decouples both anodic and cathodic EVRs from WER via Ag-mediated oxophilicity modulation.Atomic-level Ag incorporation suppresses*OH/H2O adsorption and widens the potential windows to 422 mV(anode)and 502 mV(cathode)in a glycerol oxidation|4-nitrophenol reduction pair.The system achieves>90%Faradaic efficiency and>70 mmol h-1cm-2productivity.In situ and DFT analyses reveal that Ag-induced weakening of Cu-O interactions underlies the WER suppression mechanism.Techno-economic and life-cycle evaluations indicate 31.6%cost reduction and 57.4%lower CO2emissions versus thermochemical routes.The CuOx@Ag platform thus provides a scalable and general strategy for low-carbon electrosynthesis across diverse redox systems.展开更多
The integration of High-Altitude Platform Stations(HAPS)with Reconfigurable Intelligent Surfaces(RIS)represents a critical advancement for next-generation wireless networks,offering unprecedented opportunities for ubi...The integration of High-Altitude Platform Stations(HAPS)with Reconfigurable Intelligent Surfaces(RIS)represents a critical advancement for next-generation wireless networks,offering unprecedented opportunities for ubiquitous connectivity.However,existing research reveals significant gaps in dynamic resource allocation,joint optimization,and equitable service provisioning under varying channel conditions,limiting practical deployment of these technologies.This paper addresses these challenges by proposing a novel Fairness-Aware Deep Q-Learning(FAIRDQL)framework for joint resource management and phase configuration in HAPS-RIS systems.Our methodology employs a comprehensive three-tier algorithmic architecture integrating adaptive power control,priority-based user scheduling,and dynamic learning mechanisms.The FAIR-DQL approach utilizes advanced reinforcement learning with experience replay and fairness-aware reward functions to balance competing objectives while adapting to dynamic environments.Key findings demonstrate substantial improvements:9.15 dB SINR gain,12.5 bps/Hz capacity,78%power efficiency,and 0.82 fairness index.The framework achieves rapid 40-episode convergence with consistent delay performance.These contributions establish new benchmarks for fairness-aware resource allocation in aerial communications,enabling practical HAPS-RIS deployments in rural connectivity,emergency communications,and urban networks.展开更多
To realize local production and consumption of Spatio-temporal data(STD),it is essential to address two key challenges:(1)maintaining data locality by retaining and distributing STD close to their generation area,and(...To realize local production and consumption of Spatio-temporal data(STD),it is essential to address two key challenges:(1)maintaining data locality by retaining and distributing STD close to their generation area,and(2)enabling application execution on heterogeneous and resource-constrained devices through a lightweight and portable execution platform.To address these challenges,we developed a Floating Cyber-Physical System(F-CPS)that retains both STD and the functions required to process and use the STD within a specific area.In the F-CPS,the STD Retention System directly distributes STD from the generation location and maintains the STD within the target area,thereby ensuring data localization.Furthermore,to facilitate the execution of common applications across heterogeneous devices,we designed a compact and portable application execution platform based on the WebAssembly(Wasm).In this paper,we describe the validation of the feasibility of the F-CPS platform through an integrated experimental evaluation using environmental information.The experiment demonstrated that the F-CPS enables(1)area-based retention of STD and(2)execution of data-processing functions on Wasm containers.The experimental results confirmed that the F-CPS can achieve local production and consumption of environmental data,thereby verifying the effectiveness of this platform.展开更多
Highlights·An elite germplasm,G253,with superior morphogenic callus induction and proliferation capacity was identified.·A stable Agrobacterium-mediated transformation platform enabling transgenic plant gene...Highlights·An elite germplasm,G253,with superior morphogenic callus induction and proliferation capacity was identified.·A stable Agrobacterium-mediated transformation platform enabling transgenic plant generation was established.·An efficient protoplast transient transformation system was developed from the morphogenic callus.Buckwheat is an important functional food resource due to its various bioactive compounds(Zhang et al.2021;He et al.2023).Tartary buckwheat is primarily produced in China,where it thrives in the northern arid regions and highaltitude areas of southern China and plays a crucial role in the agricultural economy in mountainous regions like the Himalayas(He et al.2024).Molecular breeding in buckwheat faces several challenges,including an underdeveloped regeneration system and low genetic transformation efficiency(Tomasiak et al.2022).For example,Dong et al.(2019)successfully obtained transgenic callus from hypocotyl explants but could not regenerate full plants.展开更多
Platform employment relies on algorithmic management for task allocation,dynamic pricing,and behavioral monitoring,thereby exposing platform workers to unstable earnings,excessive labor intensity,and occupational safe...Platform employment relies on algorithmic management for task allocation,dynamic pricing,and behavioral monitoring,thereby exposing platform workers to unstable earnings,excessive labor intensity,and occupational safety risks.In addressing the labor risks associated with platform employment,both existing labor law and algorithmic regulation exhibit significant limitations.A complementary governance framework that combines the respective strengths of labor law and algorithmic regulation can therefore be developed under the guiding principles of procedural justice and substantive justice,thereby establishing a dual-dimensional governance model for platform employment.At the substantive level,the bottom-line protections provided by labor standards can be combined with the technical advantages of algorithmic regulation to achieve bottom-line labor protections through substantive code review aimed at limiting algorithmic power.At the procedural level,the democratic advantages of collective bargaining can be combined with the organizational advantages of algorithmic regulation to balance labor protection and flexibility in platform employment through worker autonomy and algorithmic procedural control.展开更多
Single-photon sources are essential components for scalable quantum information technologies,with applications spanning quantum communication,quantum key distribution,quantum computing,and quantum sensing.Color center...Single-photon sources are essential components for scalable quantum information technologies,with applications spanning quantum communication,quantum key distribution,quantum computing,and quantum sensing.Color centers in the solid state,such as optically active point defects,are promising candidates for the next-generation single-photon sources.Their atom-like properties enable the emission of single photons with high efficiency,purity,and indistinguishability,while their solid-state nature allows for integration into scalable quantum photonic devices.展开更多
基金I+D+i grant PID2021-122215NB-C33 funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU.
摘要The integration of Internet of Things(IoT)infrastructures with Distributed Ledger Technologies(DLT)remains challenging due to the reliance on complex,tightly coupled back-end systems or centralized oracle services that hinder scalability,maintainability,and trust.This paper introduces a lightweight middleware architecture based on a Low-Code Development Platform(LCDP)that enables flexible and secure IoT-to-blockchain orchestration.We develop a custom workflow extension for the n8n platform that supports direct interaction with smart contracts,thereby removing the need for third-party oracle intermediaries.The proposed system was evaluated in a real-world deployment involving a network of Netatmo environmental sensors and the Alastria consortium blockchain.Experimental results show that the middleware can process 12 concurrent sensor data streams with an average end-to-end latency of 37.4 s,a delay dominated by the blockchain consensus time rather than middleware overhead,while ensuring the generation of immutable and verifiable audit trails.These findings demonstrate that low-code orchestration can deliver an effective,scalable,and fault-tolerant alternative for integrating IoT infrastructures with blockchain in Industry 4.0 environments.
基金supported by the National Science Foundation of China(12304422,52501261,52273233)the China Postdoctoral Science Foundation(512200-X92103)+2 种基金the Natural Science Foundation of Jiangsu Province(BK20230911)the fundamental Research Funds for the Central Universities(30923010209)Natural Science Foundation of Inner Mongolia(2025QN05053).
摘要The sensitivity and quantification capability of surface-enhanced Raman scattering(SERS)substrates are mutually exclusive,because the ultrasensitive SERS sites(hottest spots)necessary for the sensitivity will significantly magnify the SERS signals of the analyte molecules and thus each of these molecules will be miscounted to be hundreds during the quantification process.We demonstrate a concept to circumvent the above contradiction by engineering a timeshare SERS platform capable of working at the quantitative or the sensitive mode on demand.The timeshare SERS platform was constructed by transferring a monolayer gold nanosphere film onto elastic substrates(e.g.,hydrogel).The volume change of the hydrogel could adjust the inter-nanosphere distance,dynamically controlling the formation or extinction of the SERS hottest spots on the same SERS substrate without influencing the spatial distribution of the analyte molecules.The timeshare SERS platform without the SERS hottest spots showed strong quantification capability,while when equipped with a substantial number of the SERS hottest spots exhibited ultrahigh sensitivity.We demonstrated quantitative and ultrasensitive detection of various analyte molecules using the quantitative and the sensitive mode of the timeshare SERS platform,respectively.We opened an avenue towards designing SERS substrates with both high sensitivity and strong quantification capability.
基金financially supported by National Key R&D Program of China(No.:2025ZD0619700).
摘要The world’s first big data and intelligent design platform for magnesium materials,“MagNova”,jointly developed by Mingyue Lake Laboratory,Chongqing University,and the National Engineering Research Center for Magnesium Alloys,was officially launched.
基金supported by the National Natural Science Foundation of China(Grant No.42177092,42330605)the State Key Laboratory of Atmospheric Environment and Extreme Meteorology(Grant No.2024ZD01 and 2024ZD02)。
摘要In the context of global warming,the increasing frequency of extreme weather events,meteorological disasters,and regional pollution events highlights the urgent need for targeted atmospheric observations in ecologically sensitive regions.The atmospheric boundary layer top remains a critical yet under-observed interface in climate and environmental research.To respond to this need,the Atmospheric Boundary Layer Eco-Environment Shanghuang Observatory(ABLES)was established in 2023 by the Institute of Atmospheric Physics,Chinese Academy of Sciences in Jinhua,southeastern China.As a high-altitude,state-of-the-art research platform,ABLES addresses the critical need for comprehensive atmospheric and environmental observations in East Asia.The observatory facilitates interdisciplinary research focusing on three core areas:(1)cross-sphere transport of pollutants between atmospheric layers and its environmental and climatic impacts;(2)physical and chemical interactions between clouds and aerosols under extreme weather conditions;and(3)multiscale feedback mechanisms between climate change and ecosystems.ABLES is also aimed at revealing long-term patterns in greenhouse gases,ozone depleting substances,and cloud properties,and to elaborate the formation mechanisms of severe weather events such as thunderstorms and freezing rain.The findings at ABLES will support advances in weather forecasting,air quality modeling,and adaptive strategies for climate resilience.As part of China's growing environmental monitoring network,ABLES has been collaborating with various research organizations,serving as a cooperative research platform for technological development and evidence-based environmental policymaking.
基金Fund of National Key Laboratory of Shock Wave and Detonation Physics(JCKYS2022212005)。
摘要X-ray free electron laser(XFEL)plays a critical role in diagnosing dynamic compression processes in micro-and meso-scale materials.To deepen our understanding of XFEL physics and optimize facility design,a preliminary XFEL experimental simulation platform was developed based on the highperformance computing(HPC)simulation workflow application platform(HSWAP).HSWAP provides workflow,component,and data linkage models for XFEL experiments,enabling flexible simulation of diverse processes through modular configurations.This platform was employed to investigate X-ray diffraction(XRD)of microscale materials and phase contrast imaging(PCI)of meso-scale explosive samples.Simulation results for XRD of a metallic sample under shock loading and PCI of voids in explosive materials demonstrate the platform’s ability to accurately reproduce experimental dynamics.By integrating numerical models with data analysis,the platform enhances the design of XFEL experiments and provides a foundation for interpreting diagnostic capabilities in ultrafast processes.Future work will focus on refining simulation methods for meso-scale samples using phase-field approaches and high-Z materials under shock conditions.
基金supported by the National Natural Science Foundation of China(Nos.52305040,52475037)the Shandong Province Natural Science Foundation of China(No.ZR2023QE161)+1 种基金the Open Project Program of Shandong Marine Aerospace Equipment Technological Innovation Center,Ludong University(No.MAETIC202203)the Special Funds of Taishan Scholars Project of Shandong Province(No.tsqn202306116).
摘要During maritime navigation,the operational reliability of onboard communication and radar equipment systems is disrupted by wave-induced vessel motions.To ensure the stable performance of these critical systems,a marine dual-axis compensation platform is developed for active roll and pitch motion compensation.However,the stochastic nature of wave disturbances and the nonlinear characteristics of permanent magnet synchronous motors significantly complicate precise motion compensation.To address these limitations,a triple-loop coordinated controller architecture is proposed in this study.In this architecture,the outer position loop implements linear active disturbance rejection control(LADRC)to estimate and compensate for total position disturbance.A sliding mode control(SMC)-based velocity loop facilitates steady velocity adjustment,whereas an inner current loop leverages internal model control(IMC)to decouple cross-coupled electromotive forces and simplify parameterization.Simulation results for vessel motion reveal that the proposed LADRC-SMC-IMC hybrid system enhances compensation accuracy and stability by approximately 46.6%and 39%,respectively,compared with the triple-loop proportional-integral(PI)controller.Experimental validation of the simulation results confirms that the proposed system improves compensation accuracy by approximately 21.8%,exhibiting comparable compensation stability with that of the PI controller.Actual vessel tests confirm that the LADRC-SMC-IMC controller effectively compensates for vessel motion disturbances under Sea State II conditions.Notably,the numerical simulations and physical experiments confirm the effectiveness and viability of the architecture,underscoring its substantial application potential for marine motion compensation systems.
基金supported by the China-ASEAN Maritime Cooperation Fund Project(No.12120100500017001)the National Natural Science Foundation of China(Nos.42249801,92055211)。
摘要The Tanintharyi Shelf in the Andaman Sea Basin hosts a significant yet largely underexplored Cenozoic carbonate platform with substantial hydrocarbon potential.This study utilizes an integrated analysis of high-resolution 2D and 3D seismic reflection data,well data,and regional stratigraphic information to elucidate the morphological evolution of this platform and assess its implications for hydrocarbon reservoirs.The findings reveal that the platform started in the Early Miocene as isolated patch reefs on fault-bounded structural highs,eventually evolving into an asymmetric,westward-dipping rimmed shelf.Its development was influenced by the interaction of syn-sedimentary tectonics,which created accommodation space and a paleotopography that shielded the shelf from clastic influx,along with eustatic sea-level fluctuations that caused cycles of sediment buildup,subaerial exposure(leading to karstification),and back-stepping.Ultimately,the platform was drowned and buried during the Middle to Late Miocene due to accelerated post-rift subsidence combined with increased siliciclastic input,the latter driven by the Neogene uplift of the Tibetan Plateau.The reservoir potential varies across the platform,with the highest concentrations in wave-resistant reefal margin facies and potential dolomitized zones on paleo-highs,where primary porosity was enhanced by meteoric diagenesis.However,reservoir quality is compartmentalized due to tight cementation and mud-rich intervals.The widespread presence of gas chimneys and pockmarks indicates that the platform functions both as a reservoir and a conduit for fluid migration.Therefore,this study establishes a predictive tectonostratigraphic framework,emphasizing that successful exploration in this complex environment requires high-resolution mapping of facies boundaries,diagenetic features,and fault architecture,combined with seal integrity analysis.The findings offer a new model for understanding the evolution of carbonate reservoirs in tectonically active,rift-margin settings worldwide.
基金funded by the Science and Technology Department of Jiangxi Province(grant Nos.20242BAB20258 and 20242BAB23061)the Major Scientific and Technological Project of the Water Resources Department of Jiangxi Province(grant No.202527ZDKT20)the National Natural Science Foundation of China(grant No.32171534).
摘要Cultural eutrophication,driven primarily by anthropogenic activities,poses a severe threat to freshwater biodiversity.Aimed to evaluate how nutrient elements affect the phytoremediation potential of floating-bed plants and to assessed select optimal species for ecological restoration.We investigated the functional traits of three floating-bed plants—edible Oenanthe javanica,Ipomoea aquatica,and ornamental Myriophyllum aquaticum—in Qiandaohu Lake,an oligo-mesotrophic reservoir in China.A mesocosm experiment was conducted using different eutrophic nitrogen(N)and phosphorus(P)concentrations.Plant functional traits[shoot,root,and total biomass,relative growth rate(RGR),and maximum quantum yield of photosystemⅡ(Fv/Fm)]and plant net N and P purification efficiency(μ)were measured.The results revealed that plant species significantly influenced all the traits,with P exerting a stronger effect than N;thus,P was identified as a critical limiting factor for growth and remediation performance,underscoring its role in cultural eutrophication.Specifically,M.aquaticum exhibited optimal eutrophication purification efficiency at high N and P concentrations.However,as an introduced non-invasive plant,M.aquaticum should be used cautiously for phytoremediation.This study highlights the application of floating-bed platforms in oligo-mesotrophic reservoirs,bridging ecological restoration with socioeconomic value.
基金National Clinical Research Center for Cardiovascular Diseases of Traditional Chinese Medicine Special Research Fund Project:Formulation of International Diagnostic Criteria for Blood Stasis Syndrome in Coronary Heart Disease and Screening of Specific Protein Biomarkers(CMC2022010)Chronic Disease Management Research Project of National Health Commission Capacity Building and Continuing Education Center:Screening of Inflammatory Biomarkers and Analysis of Perivascular Adipose Tissue Characteristics in Patients with Blood Stasis Syndrome due to Coronary Heart Disease(GWJJMB202510021048)Xinjiang Uygur Autonomous Region’s Regional Collaborative Innovation Special Project(Science and Technology Aid to Xinjiang Program):Comprehensive Investigation into Diagnostic Criteria and a Risk Prediction Model for Coronary Heart Disease with"Dryness-Blood Stasis Complex"Syndrome in Xinjiang(2022E02114)。
摘要OBJECTIVE:To identify candidate biomarkers of blood stasis syndrome(BSS)associated with coronary artery disease(CAD)and explore the underlying inflammatory mechanisms.Methods:Using the Olink Target 96 Inflammation panel,we identified plasma proteins in a group of 88 patients comprised of healthy controls(HCs),those with CAD and BSS(CAD-BSS),those with CAD without BSS(CADnon-BSS),and those with BSS without CAD(non-CADBSS)(n=22 in each group).Protein molecules that were specifically expressed in CAD or BSS were identified by differential expression analyses.Subsequently,potential protein biomarkers were identified using least absolute shrinkage and selection operator regression to enable CAD and BSS differentiation.The potential functional mechanisms of identified proteins were then determined by Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses.RESULTS:Patients with CAD had 31/92 upregulated and 4/92 downregulated proteins compared with those without.Chemokine(C-C motif)ligand 11(CCL11),CUB domain-containing protein 1,hepatocyte growth factor,sirtuin 2(SIRT2),eukaryotic translation initiation factor 4E-binding protein 1(4E-BP1),CCL25,and tumor necrosis factor(TNF)showed the strongest upregulation(all P<0.0001).Patients with BSS had 8/92 downregulated proteins,specifically CCL28,CCL11,cystatin D,STAM-binding protein,4E-BP1,matrix metalloproteinase-10,SIRT2,and monocyte chemotactic protein 4,compared with those without(all P<0.05).The CAD-BSS group had one interleukin-17(IL-17)upregulated and 10/92 downregulated proteins compared with the CAD-non-BSS group.When compared with the non-CAD-BSS group,the CAD-BSS group had 8 upregulated proteins but only 2 downregulated proteins,namely interleukin-10 receptor subunit alpha(IL-10RA)and TNF-related activation-induced cytokine(both P<0.05).Totally 10 proteins were identified as potential candidate biomarkers of BSS in CAD patients.After least absolute shrinkage and selection operator regression analysis,two proteins that distinguished between BSS and non-BSS individuals among CAD patients were identified(SIRT2 and 4E-BP1).These proteins are primarily associated with the mechanistic target of rapamycin signaling pathway,which regulates inflammation and oxidative stress.CONCLUSIONS:Results suggest that the inflammatory response and mechanistic target of rapamycin signaling pathway participate in CAD and BSS development,and that SIRT2 and 4E-BP1 are prospective protein biomarkers for patients with CAD and BSS.
摘要Digital technology transforms and represents intangible cultural heritage(ICH)into shareable and reproducible digital forms,exerting a profound impact through digital platforms on its inheritance and development,which traditionally rely on immediacy and physical presence.Against the backdrop of the internet and accelerated social mobility,in which the fluidity of time and space has become a hallmark of modern society,the platform logic of digital ICH serves as a critical lens to examine the phenomena of“disembedding”and“re-embedding”in the digital era.From the perspective of“disembedding,”digital platforms facilitate the spatiotemporal displacement of ICH’s living spaces,the multidimensional expansion of ICH discourse narratives,and the popularization of regional group cultures.From the perspective of“re-embedding,”influenced by factors such as national strategic guidance,the prevalence of digital platforms,the rise of cultural consumption,and the awakening of local cultural consciousness,digital ICH undergoes value reconstruction in its contemporary inheritance and development.It transforms from remnants of lived experience into capital,culture,and emotion that resonate with contemporary individuals,thereby“re-embedding”into the daily lives of the public and achieving dynamic inheritance and development in the context of the new era.
基金funded by the key project in Education of the National Social Science Fund of China,"Research on the Ecosystem Construction and Operation and Maintenance Mechanism of the National Smart Education Platform"(No.ACA230014).
摘要The Smart Education of China platform for primary and secondary education(SECPSE)serves as a crucial support for achieving the digital transformation of classroom teaching.Focusing on the practical efficacy of this platform in empowering classroom teaching,this study employs a mixed-methods approach.It conducts a questionnaire survey involving 69,304 primary and secondary school teachers nationwide,supplemented by an in-depth analysis of teaching behaviors and epistemic networks of 20 typical cases,as well as a grounded theory analysis of 845 demand texts.This comprehensive investigation systematically explores the platform's application status,typical models,and optimization pathways.The findings reveal that,firstly,teachers exhibit relatively high overall satisfaction with the platform,and its application has preliminarily formed a pattern covering the entire teaching process.Secondly,the application of the SECPSE in classroom teaching primarily manifests in three typical models.The tool-enabled model deeply embeds technology into the teaching process through on-demand utilization of platform resources and tools.The dual-teacher model leverages expert teacher video lectures from the platform to implement collaborative teaching between online experts and offline teachers,effectively expanding the coverage of high-quality resources.The self-directed inquiry model relies on the platform's learning resources,task-pushing capabilities,and learning analytics to promote students'autonomous knowledge construction.Thirdly,based on the grounded theory,a model encompassing content,tool,service,and mechanism needs is constructed.Accordingly,targeted optimization strategies are proposed.These include optimizing content supply to build a precise resource ecosystem,upgrading tool functionalities to enhance teaching adaptability,improving service support to establish a full-coverage guarantee system,and innovating mechanism development to stimulate momentum for sustained application.The theoretical model and methodological strategies constructed in this study may provide theoretical support and practical references for the promotion and application of the SECPSE.
基金supported by the National NaturalScience Foundation of China(No.22274001)the Key Project of Natural Science Research of the Education Department of Anhui Province(No.2022AH051032)the Excellent Research and Innovation Team of Universities in Anhui Province(No.2024AH010016).
摘要Portable ratiometric fluorescent platforms have emerged as promising tools for multifarious detection,yet remain unexplored for point-of-care monitoring doxorubicin(DOX),one of clinically antineoplastic drugs.To this end,we herein develop a portable self-calibrating platform namely carbon dots(C-dots)-embedded hydrogel sensors with a smartphone-assisted high-throughput imaging device,for DOX sensing.The prepared green-emitting(λem=508 nm)and negatively-charged C-dots(−11.40±1.21 mV),which have sufficient spectral overlap with the absorption band of DOX(∼500 nm),can strongly bind with positively-charged DOX molecules by electrostatic attraction effects.As a result,DOX molecules are selectively and rapid(20 s)determined with a detection limit of 10.26 nmol/L via Förster resonance energy transfer processes,demonstrating a remarkably chromatic shift from green to red.Further integrated with a 3D-printed smartphone-assisted device,the platform enabled high-throughput quantification,achieving recoveries of 96.40%-101.85%in human urine/serum(RSDs<2.94%,n=3).Notably,the dual linear detection ranges of the platform align with the reported clinical DOX concentrations in urine and plasma(0-4 h post-administration),validating their capability for direct quantification of DOX in clinical samples without special pre-treatment processes.By virtue of attractive analytical performances and robust feasibility,this platform bridges laboratory precision and point-of-care testing needs,offering promising potential for personalized chemotherapy and multiplexed analyte screening.
基金supported by the National Natural Science Foundation of Shandong Province(Grant No.ZR2022ME001)Shandong Mountain Taishan Scholar(Grant No.tstp20231215).
摘要Jacket offshore platforms are commonly subjected to wave loading,which induces undesirable structural vibrations and can lead to integrity issues,including failure or collapse.This study investigates the mitigation of wave-induced vibrations in jacket offshore platforms using inerter-based tuned mass damper(ITMD)systems.A theoretical model of the platform equipped with ITMDs,subjected to realistic wave loading,is developed,and its dynamic responses across various sea states are analytically determined.To ensure practical applicability,a performance-oriented optimization is conducted to identify the optimal ITMD parameters,with deck displacement minimization as the primary objective.A parametric analysis examines the influence of ITMD parameters on the platform’s dynamic behavior.The effectiveness of the ITMD system in suppressing vibrations is assessed and compared directly with that of a conventional tuned mass damper(TMD).Results indicate that the optimized ITMD system outperforms the traditional TMD in reducing both deck displacements and inter-story drifts,achieving superior performance with a lower system mass.The ITMD is therefore concluded to be a promising solution for vibration control in jacket offshore platforms.
基金supported by National Natural Science Foundation of China(No.82272229,82272227,32401199)the Natural Science Foundation of Shanghai(No.24ZR1449700,23ZR1456800)+3 种基金Beijing Health Alliance Charitable Foundation(MZ-20240924-05)the Shanghai Sailing Program(No.24YF2739300)Shanghai Healthcare System Key Supporting Discipline Construction Project(2023ZDFC0202)the Construction Project of the“Discipline Peak-Climbing Plan”of Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine(XKPF2024C101).
摘要Acute lung injury(ALI)and its more severe form,acute respiratory distress syndrome(ARDS),are lifethreatening pulmonary disorders with extremely high mortality rates,for which effective and safe therapeutic strategies remain limited.The development of targeted and biocompatible drug delivery systems is urgently needed to control pulmonary inflammatory cascades while minimizing systemic toxicity.Plant-derived extra-cellular vesicles offer a naturally safe and anti-inflammatory platform for therapeutic delivery.Ginsenoside Rb1(GRb1),a major bioactive compound from ginseng,possesses potent anti-inflammatory and anti-apoptotic properties,whereas lemon-derived EVs(LEVs)exhibit intrinsic antioxidant and anti-inflammatory effects.Here,we engineered a multifunctional,biocompatible drug delivery platform,GRb1@LEVs-cRGD,in which ginsenoside Rb1 is incorporated into and fused with LEVs to form hybrid bio-nanovesicles,while the vesicle surface is functionalized with cyclic RGD(cRGD)peptides to target integrinαvβ3 highly expressed in inflamed pulmonary tissues,thereby enhancing site-specific delivery.In vitro and in vivo studies confirmed that GRb1@LEVs-cRGD effectively inhibited M1 macrophage polarization,suppressed inflammatory cascades,and preserved epithelial-endothelial integrity.Furthermore,exogenous cholesterol loading improved vesicle stabil-ity,maintained the pH gradient,and enhanced the loading efficiency of tigecycline and vancomycin by six-fold.In murine models of bacterial pneumonia induced by carbapenem-resistant Klebsiella pneumoniae and methicillin-resistant Staphylococcus aureus,antibiotic-loaded GRb1@LEVs-cRGD efficiently accumulated at infection sites and exhibited synergistic anti-inflammatory and bactericidal effects.Overall,this study demonstrates that GRb1@LEVs-cRGD is a safe,targeted,and multifunctional therapeutic platform with significant potential for ALI/ARDS treatment.
基金supported by the National Natural Science Foundation of China(Grant Nos.22578024,22409184,and 52372074)the National Key Research and Development Program of China(Grant No.2024YFE0211400)+3 种基金the Fundamental Research Funds for the Central Universities(Grant Nos.buctrc202118,JD2536)the China Postdoctoral Science Foundation(Grant No.2024M760184)the Foundation of Key Basic Research Project in Research Institute of Petroleum Processing(RIPP),Sinopec(Grant No.PR20232203)China Petrochemical Corporation(Grant No.224125).
摘要Paired electrochemical valorization reactions(EVRs)offer a sustainable route for co-producing value-added chemicals,yet their efficiency is hindered by overlapping potential windows with water electrolysis reactions(WER).Here,an asymmetric CuOx@Ag electrocatalyst platform is proposed that decouples both anodic and cathodic EVRs from WER via Ag-mediated oxophilicity modulation.Atomic-level Ag incorporation suppresses*OH/H2O adsorption and widens the potential windows to 422 mV(anode)and 502 mV(cathode)in a glycerol oxidation|4-nitrophenol reduction pair.The system achieves>90%Faradaic efficiency and>70 mmol h-1cm-2productivity.In situ and DFT analyses reveal that Ag-induced weakening of Cu-O interactions underlies the WER suppression mechanism.Techno-economic and life-cycle evaluations indicate 31.6%cost reduction and 57.4%lower CO2emissions versus thermochemical routes.The CuOx@Ag platform thus provides a scalable and general strategy for low-carbon electrosynthesis across diverse redox systems.
基金supported by the Princess Nourah bint Abdulrahman University Researchers Supporting Project,number PNURSP2025R757Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
摘要The integration of High-Altitude Platform Stations(HAPS)with Reconfigurable Intelligent Surfaces(RIS)represents a critical advancement for next-generation wireless networks,offering unprecedented opportunities for ubiquitous connectivity.However,existing research reveals significant gaps in dynamic resource allocation,joint optimization,and equitable service provisioning under varying channel conditions,limiting practical deployment of these technologies.This paper addresses these challenges by proposing a novel Fairness-Aware Deep Q-Learning(FAIRDQL)framework for joint resource management and phase configuration in HAPS-RIS systems.Our methodology employs a comprehensive three-tier algorithmic architecture integrating adaptive power control,priority-based user scheduling,and dynamic learning mechanisms.The FAIR-DQL approach utilizes advanced reinforcement learning with experience replay and fairness-aware reward functions to balance competing objectives while adapting to dynamic environments.Key findings demonstrate substantial improvements:9.15 dB SINR gain,12.5 bps/Hz capacity,78%power efficiency,and 0.82 fairness index.The framework achieves rapid 40-episode convergence with consistent delay performance.These contributions establish new benchmarks for fairness-aware resource allocation in aerial communications,enabling practical HAPS-RIS deployments in rural connectivity,emergency communications,and urban networks.
基金supported in part by the Japan Society for the Promotion of Science under KAKENHI Grant Number 24K02916a research grant from Telecommunications Advancement Foundationpartly based on the results of a project previously supported by JPJ012368C05501 from NICT,Japan.
摘要To realize local production and consumption of Spatio-temporal data(STD),it is essential to address two key challenges:(1)maintaining data locality by retaining and distributing STD close to their generation area,and(2)enabling application execution on heterogeneous and resource-constrained devices through a lightweight and portable execution platform.To address these challenges,we developed a Floating Cyber-Physical System(F-CPS)that retains both STD and the functions required to process and use the STD within a specific area.In the F-CPS,the STD Retention System directly distributes STD from the generation location and maintains the STD within the target area,thereby ensuring data localization.Furthermore,to facilitate the execution of common applications across heterogeneous devices,we designed a compact and portable application execution platform based on the WebAssembly(Wasm).In this paper,we describe the validation of the feasibility of the F-CPS platform through an integrated experimental evaluation using environmental information.The experiment demonstrated that the F-CPS enables(1)area-based retention of STD and(2)execution of data-processing functions on Wasm containers.The experimental results confirmed that the F-CPS can achieve local production and consumption of environmental data,thereby verifying the effectiveness of this platform.
基金supported by the National Natural Science Foundation of China(32241042,32161143005,32301794,32401816,32572314,32501861,and W2512019)the National Key Research and Development Program of China(2023YFF1002500)the National Science Centre of Poland,Research Project SONATA BIS 10(Reg.2020/38/E/NZ9/00033 awarded to AB)。
摘要Highlights·An elite germplasm,G253,with superior morphogenic callus induction and proliferation capacity was identified.·A stable Agrobacterium-mediated transformation platform enabling transgenic plant generation was established.·An efficient protoplast transient transformation system was developed from the morphogenic callus.Buckwheat is an important functional food resource due to its various bioactive compounds(Zhang et al.2021;He et al.2023).Tartary buckwheat is primarily produced in China,where it thrives in the northern arid regions and highaltitude areas of southern China and plays a crucial role in the agricultural economy in mountainous regions like the Himalayas(He et al.2024).Molecular breeding in buckwheat faces several challenges,including an underdeveloped regeneration system and low genetic transformation efficiency(Tomasiak et al.2022).For example,Dong et al.(2019)successfully obtained transgenic callus from hypocotyl explants but could not regenerate full plants.
摘要Platform employment relies on algorithmic management for task allocation,dynamic pricing,and behavioral monitoring,thereby exposing platform workers to unstable earnings,excessive labor intensity,and occupational safety risks.In addressing the labor risks associated with platform employment,both existing labor law and algorithmic regulation exhibit significant limitations.A complementary governance framework that combines the respective strengths of labor law and algorithmic regulation can therefore be developed under the guiding principles of procedural justice and substantive justice,thereby establishing a dual-dimensional governance model for platform employment.At the substantive level,the bottom-line protections provided by labor standards can be combined with the technical advantages of algorithmic regulation to achieve bottom-line labor protections through substantive code review aimed at limiting algorithmic power.At the procedural level,the democratic advantages of collective bargaining can be combined with the organizational advantages of algorithmic regulation to balance labor protection and flexibility in platform employment through worker autonomy and algorithmic procedural control.
基金supported by the National Natural Science Foundation of China(62174009,52473268)the National Key Research and Development Program of China(2024YFA1409702).
摘要Single-photon sources are essential components for scalable quantum information technologies,with applications spanning quantum communication,quantum key distribution,quantum computing,and quantum sensing.Color centers in the solid state,such as optically active point defects,are promising candidates for the next-generation single-photon sources.Their atom-like properties enable the emission of single photons with high efficiency,purity,and indistinguishability,while their solid-state nature allows for integration into scalable quantum photonic devices.