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Introduction to the Special Issue on Computer Modeling for Future Communications and Networks 认领 引用
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作者 Wenbing Zhao Pan Wang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第6期36-38,共3页
The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating ... The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating as fragmented regional systems,future infrastructures will leverage Satellite-Terrestrial Integrated Networks(STIN)and 6G technologies to form a unified global network. 展开更多
关键词 unified global network computer modeling networks global communication networks future communications g technologies regional systemsfuture satellite terrestrial integrated networks
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RIS-assisted cellular networks with multiple D2D pairs:Outage and ergodic achievable rate 认领 引用
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作者 Yaxuan Liu Yiyang Ni +2 位作者 Haitao Zhao Yuxi Wang Yan Cai 《Digital Communications and Networks》 SCIE EI CSCD 2026年第1期52-65,共14页
Reconfigurable Intelligent Surface(RIS)is envisioned as a promising technology to improve the system capacity of 6G network,by controlling the electromagnetic wave propagation.Most existing works use the Central Limit... Reconfigurable Intelligent Surface(RIS)is envisioned as a promising technology to improve the system capacity of 6G network,by controlling the electromagnetic wave propagation.Most existing works use the Central Limit Theorem(CLT)to analyze the performance of RIS-assisted systems for large number of reflective elements.However,the assumption of extremely large number of elements may not be practical in the actual situation.In addition,the CLT-based approximation yields an inaccurate scaling law of the outage probability when the transmit Signal-to-Noise Ratio(SNR)tends to infinity.Motivated by these limitations,in this paper,we investigate the performance of RIS-assisted cellular networks with multiple Device-to-Device(D2D)users under the general fading channels,i.e.,Nakagami-m fading channels.We propose a tractable solution to evaluate the outage probability and the ergodic achievable rate,which is accurate for any number of reflective elements,any network topology,as well as any SNR.In addition,the accurate approximations for the high SNR case and the large number of reflective elements case are further derived in simpler closed form.Numerical results verify the accuracy of our analytical results and analyze the performance between CLT and the proposed method. 展开更多
关键词 Reconfigurable intelligent surface 6G cellular networks Device-to-device Outage probability Ergodic achievable rate Nakagami-fading
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One-step construction of N-vacancy-rich carbon doped g-C3N4/g-C3N4Z-type homojunction and its coupling with persulfate for tetracycline degradation 认领 引用
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作者 ZHU Ze-min ZHENG Guo-dong +3 位作者 ZHOU Yong-hua CHEN Li-miao WU Qiu-mei YUAN Tie-chui 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第5期1987-2004,共18页
Graphitic carbon nitride(g-C3N4)has been widely applied in advanced oxidation processes based on persulfate(PS)for photocatalytic degradation of aqueous pollutants,yet it still suffers from limitations such as w... Graphitic carbon nitride(g-C3N4)has been widely applied in advanced oxidation processes based on persulfate(PS)for photocatalytic degradation of aqueous pollutants,yet it still suffers from limitations such as weak redox capability,low electrical conductivity and severe charge recombination.In this study,via building a confined environment,the doped-C and nitrogen vacancy(Nv)were simultaneously introduced in g-C3N4through one-step calcination.Compared to CN-M derived from melamine,the urea-derived CN-U exhibits higher concentrations of doped-C and Nv,which leads to different band structures.The valence band(VB)and conduction band(CB)of CN-M shift more positively than those for CN-U,with the potential differences of VB and CB being 0.31 and 0.36 eV,respectively.As a result,a Z-type g-C3N4/g-C3N4homojunction(CN-UM)derived from the mixture of urea and melamine was constructed with the minimum resistance,the lowest charge recombination rate and the high redox capacity retained.The tetracycline degradation efficiency and degradation rate constant by CN-UM coupling with PS reach 99%and 0.08989 min-1,respectively,after irradiation for 60 min,along with the excellent cycling stability.The active species h+,·O2-,·OH and SO4·-play roles during the degradation process,with the contributions from h⁺and·O2-higher than those from·OH and SO4·-. 展开更多
关键词 graphitic carbon nitride g-C3N4/g-C3N4Z-type homojunction carbon doping nitrogen vacancy tetracycline degradation
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Editorial for the Special Issue on 6G:From Theory to Practice 认领 引用
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作者 Ping Zhang XueminShen Jianhua Zhang 《Engineering》 SCIE EI CSCD 2026年第1期1-2,共2页
Mobile communication is one of the most vibrant fields of global technological innovation.The International Telecommunication Union(ITU)released its"Framework and overall objectives of the future development of I... Mobile communication is one of the most vibrant fields of global technological innovation.The International Telecommunication Union(ITU)released its"Framework and overall objectives of the future development of IMT for 2030 and beyond"in June2023,defining the vision development,typical scenarios,and capability indicators of sixth-generation(6G)mobile networks.The international standardization organization 3rd Generation Partnership Project(3GPP)also initiated the formulation of their 6G Release 20(R20)in June 2023,marking the transition of global6G research from the conceptual discussion stage to that of technical practice.To accurately grasp 6G development trends and promote the advancement of 6G mobile networks,this special issue focuses on the latest research progress in 6G technology development,standard formulation,and engineering practice,based on our previous special issue titled 6G Requirements,Vision,and Enabling Technologies,published in 2022.The current special issue contains 13 papers. 展开更多
关键词 G engineering practice mobile communication rd generation partnership standard formulation international telecommunication union technological innovation GPP
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Beyond linearity:a multiscale pangenome map for complex sugarcane 认领 引用
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作者 Jiahao Zhang Qibin Wu +3 位作者 Junlin Li Feng Ye Fei Chen Youxiong Que 《Tropical Plants》 CSCD 2026年第1期1-3,共3页
Introduction:technical bottlenecks in genomic research on sugarcane The improvement of sugarcane(Saccharum spp.)is severely hindered by complex mixed ploidy,aneuploidy,and interspecific hybridization.Recently,Huang et... Introduction:technical bottlenecks in genomic research on sugarcane The improvement of sugarcane(Saccharum spp.)is severely hindered by complex mixed ploidy,aneuploidy,and interspecific hybridization.Recently,Huang et al.constructed the first multiscale sugarcane pangenome graph integrating nine assemblies[1].Overcoming traditional linear reference limitations,this framework increased genomic diversity capture from 34%to 82%and identified key agronomic loci(e.g.,sugar content,leaf angle)via the novel dosage genome-wide association study(GWAS)method.We highlight this study's technical,statistical,and biological dimensions. 展开更多
关键词 linear reference limitationsthis dosage g mixed ploidyaneuploidyand agronomic loci egsugar genomic diversity genomic research multiscale pangenome map complex sugarcane
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A Multi-Agent Deep Reinforcement Learning-Based Task Offloading Method for 6G-Enabled Internet of Vehicles with Cloud-Edge-Device Collaboration 认领 引用
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作者 Fangxiang Hu Qi Fu +1 位作者 Shiwen Zhang Jing Huang 《Computers, Materials & Continua》 SCIE EI 2026年第6期1842-1872,共31页
In the Internet of Vehicles(IoV)environment,the growing demand for computational resources from diverse vehicular applications often exceeds the capabilities of intelligent connected vehicles.Traditional approaches,wh... In the Internet of Vehicles(IoV)environment,the growing demand for computational resources from diverse vehicular applications often exceeds the capabilities of intelligent connected vehicles.Traditional approaches,which rely on one or more computational resources within the cloud-edge-device computing model,struggle to ensure overall service quality when handling high-density traffic flows and large-scale tasks.To address this issue,we propose a computational offloading scheme based on a cloud-edge-device collaborative 6G IoV edge computing model,namely,Multi-Agent Deep Reinforcement Learning-based and Server-weighted scoring Selection(MADRLSS),which aims to optimize dynamic offloading decisions and resource allocation.The scheme first designs an improved multi-agent proximal policy optimization(MAPPO)algorithm,decoupling centralized training from distributed execution for multiple terminal vehicle agents.Specifically,the centralized training of terminal vehicles is migrated to the high-performance edge layer,while lightweight decision-making networks are retained at the terminal vehicles to enable efficient and dynamic task offloading decisions.Additionally,a server-weighted scoring selection(SS)algorithm is proposed,which integrates two key metrics—short-term server load and geographical proximity—to select the optimal server and allocate communication resources.The proposed scheme improves the quality of experience(QoE)while balancing energy consumption.Simulation results demonstrate that the MADRLSS scheme significantly outperforms existing benchmark methods in terms of task offloading efficiency and stability,maintaining QoE consistently above 82%and effectively enhancing service quality in complex vehicular scenarios. 展开更多
关键词 Vehicular edge computing cloud-edge-device collaboration multi-agent proximal policy optimization high-density vehicle task offloading resource allocation 6G
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Future Industries on the Brink of Breakthrough 认领 引用
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《China Report ASEAN》 2026年第5期16-17,共2页
In March 2026,China released the outline of its 15th FiveYear Plan(2026-2030)for National Economic and Social Development.The document called for a forward-looking strategy to cultivate“future industries,”including ... In March 2026,China released the outline of its 15th FiveYear Plan(2026-2030)for National Economic and Social Development.The document called for a forward-looking strategy to cultivate“future industries,”including quantum technology,biomanufacturing,hydrogen and nuclear fusion energy,brain-computer interfaces,embodied artificial intelligence,and sixth-generation mobile communications(6G),as new drivers of economic growth. 展开更多
关键词 quantum technologybiomanufacturinghydrogen nuclear fusion energybrain computer biomanufacturing g brain computer interfaces quantum technology embodied artificial intelligence artificial intelligenceand nuclear fusion energy
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Space-Terrestrial Integrated 6G Network:Architecture,Networking,and Transmission Technologies 认领 引用
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作者 Kuang Linling Wang Jianxiu +1 位作者 Zhang Jianhua Wang Shuai 《China Communications》 SCIE EI CSCD 2026年第3期I0002-I0004,共3页
With the large-scale deployment of satellite constellations and the rapid advancement of technologies including artificial intelligence(AI)and non-terrestrial networks(NTNs),the integration of high,medium,and low Eart... With the large-scale deployment of satellite constellations and the rapid advancement of technologies including artificial intelligence(AI)and non-terrestrial networks(NTNs),the integration of high,medium,and low Earth orbit satellite networks with terrestrial networks has become a critical direction for future communication technologies.The objective is to develop a space-terrestrial integrated 6G network that ensures ubiquitous connectivity and seamless services,facilitating intelligent interconnection and collaborative symbiosis among humans,machines,and objects.This integration has become a central focus of global technological innovation. 展开更多
关键词 communication technologiesthe g network satellite constellations space terrestrial integrated g network terrestrial networks artificial intelligence ai intelligent interconnection satellite networks
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Development of a novel NanoBRET high-throughput drug screening assay for human GnRH receptor using sulfo-cyanine 5 fluorophore 认领 引用 被引量：1
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作者 Li Shen Xiaozhe Du +6 位作者 Yakai Yang Ming Su Rong Rong Jia Meng Lee Wei Lim David G.Fernig Zhi-Liang Lu 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2026年第2期413-427,共15页
G protein-coupled receptors(GPCRs),the largest superfamily of cell surface receptors and targets for over 30%of current clinical drugs,remain crucial for future therapeutic development.This study introduces a novel Na... G protein-coupled receptors(GPCRs),the largest superfamily of cell surface receptors and targets for over 30%of current clinical drugs,remain crucial for future therapeutic development.This study introduces a novel NanoLuciferase(NanoLuc,Nluc)bioluminescence resonance energy transfer(NanoBRET)-based ligand binding assay,utilizing the gonadotrophin-releasing hormone(GnRH)receptor as a model system.Our study demonstrates that sulfo-cyanine 5(sCy5)is an ideal fluorophore compatible with NanoBRET,enabling sensitive measurement of ligand binding on living cell membranes.A novel GnRH analogue,sCy5-D-Lys6-GnRH,was synthesized by conjugating sCy5on the substituted D-Lys6of the native GnRH I.Substitution of Gly6 of GnRH I with sCy5-D-Lys6stabilizes theβII’turn configuration of the decapeptide that exhibits high affinity and specificity for GnRH receptors while maintaining agonist activity.To address the characteristically low expression of the human GnRH receptor(hGnRHR),we engineered a modified receptor by fusing NanoLuc with an interleukin-6(IL6)secretory signal peptide(secNluc)to the N-terminus of the hGnRHR and deleting Lys191(K191Δ)within the 2nd extracellular loop.This modification,N-terminal secretory signal peptide-NanoLuciferase-human gonadotropin-releasing hormone receptor with K191 deletion(N-secNluc-hGnRHR-K191Δ)significantly enhances receptor expression without altering ligand binding affinity,resulting in a robust BRET signal detection(Z'≥0.5)between sCy5-D-Lys6-GnRH and the modified receptor.Our innovative approach using sCy5to conjugate ligands offers several key advantages:high sensitivity and specificity,remarkably low non-specific binding(NSB),compatibility with live-cell assays,and suitability for high-throughput drug screening,which may accelerate the discovery of new therapeutics for GnRH receptor signal-selective drugs and potentially for other GPCRs. 展开更多
关键词 G protein-coupled receptors(GPCRs) High throughput drug screening NanoBRET Fluorescent ligand Gonadotrophin-releasinG hormone(GnRH) GnRH receptor
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Into the 6G Era As 6G accelerates from research to reality, it is poised to redefine connectivity as intelligent infrastructure powers future industries 认领 引用
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作者 Liu Xueyun 《China Report ASEAN》 2026年第5期18-21,共4页
As 5G commercialization continues to gain momentum, exploration into 6G technologies is accelerating across the board. China's 15th Five-Year Plan for Economic and Social Development outlines efforts to foster 6G ... As 5G commercialization continues to gain momentum, exploration into 6G technologies is accelerating across the board. China's 15th Five-Year Plan for Economic and Social Development outlines efforts to foster 6G and related technologies as new drivers of economic growth. 展开更多
关键词 G G commercialization economic growth connectivity g technologies related technologies future industries drivers economic growth
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The arginine-phenylalanine-amide neuropeptide receptor family:Physiological effects,drug development,and structural insights 认领 引用
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作者 Yiming Liu Shirui Jiang +7 位作者 Zhangsong Wu Chen Qiu Qiaohui Li Rui Wang Xiaoyi Yan Song Wu Geng Chen Yang Du 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第8期3323-3331,共9页
The arginine-phenylalanine-amide neuropeptide receptor family comprises a subclass within the G protein-coupled receptor superfamily with crucial roles in physiological regulation.These receptors recognize and bind ne... The arginine-phenylalanine-amide neuropeptide receptor family comprises a subclass within the G protein-coupled receptor superfamily with crucial roles in physiological regulation.These receptors recognize and bind neuropeptides with an arginine-phenylalanine-amide motif,thereby participating in a variety of biological processes such as energy metabolism,pain perception,and reproductive functions.In this review,we explore the physiological and pathological processes involving these receptors and delve into the structure-activity relationships of their ligand peptides,clarifying the key structural motifs within these neuropeptides that determine their biological activity,pharmacological potency,and receptor selectivity.Particular emphasis is placed on their roles in modulating nociception,regulating appetite,and maintaining reproductive health.Additionally,we discuss the therapeutic potential of structure-based drug design targeting these receptors based on existing cryo-electron microscopy structures.The available structural insights into ligand-binding pockets and G protein-receptor interaction interfaces provide a clear perspective and valuable complement to ligand optimization. 展开更多
关键词 appetite regulation arginine-phenylalanine-amide drug discovery G protein-coupled receptor neuropeptides nerve regeneration pain modulation structure-activity relationship
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Grain refinement of Ti5321G alloy created by ultrasonic energy field during laser powder direct energy deposition 认领 引用
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作者 Mingxia Diao Chunhuan Guo +7 位作者 Tao Dong Shewei Xin Zhonggang Sun Siyuan Zhang Haolun Song Zubin Chen Fengchun Jiang Sergey Konovalov 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第3期953-970,共18页
The ultrasonic energy field(UEF)-induced grain refinement mechanisms in laser powder direct energy deposition-manufactured Ti5321G alloys were systematically investigated in this study.This study focused on the interp... The ultrasonic energy field(UEF)-induced grain refinement mechanisms in laser powder direct energy deposition-manufactured Ti5321G alloys were systematically investigated in this study.This study focused on the interplay between recrystallization in the high-temperature solid deposition layers and the ultrasonic cavitation-acoustic streaming effects during molten pool solidification.A novel experimental design was developed to decouple these mechanisms by creating four distinct UEF action zones(without UEF-N,withUEF-S,with UEF-L,and with UEF-S+L)within a single-pass multilayer sample.This approach enabled the dual effects of UEF(recrystallization in solidified layers and ultrasonic cavitation-acoustic streaming effects in liquid pools)to be directly compared.The UEF significantly refined the microstructures,reducing the average grain size by 64.2%(from(399.6±28.6)to(143.1±16.1)μm)in the with UEF-S+L zone,while promoting columnar-to-equiaxed transition,with the equiaxed grain probability increasing from 11.1%(without UEF) to 53.8%.The texture intensity was reduced by approximately 52.4%and the mechanical properties were enhanced,achieving a 6.2% increase in yield strength((702.0±10.6)MPa)and 31.7%improvement in elongation.Crucially,this study revealed the synergistic effect of the dual-action mechanisms of UEF,where recrystallization and cavitation-acoustic streaming collectively enabled non-linear grain refinement.This study provides a strategy for microstructural control in additive manufacturing,eliminating the need for complex post-processing and thereby advancing the industrial application of high-performance titanium components. 展开更多
关键词 laser powder direct energy deposition ultrasonic energy field Ti5321G alloy grain refinement mechanism mechanicalproperties
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Securing Restricted Zones with a Novel Face Recognition Approach Using Face Feature Descriptors and Evidence Theory 认领 引用
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作者 Rafika Harrabi Slim Ben Chaabane Hassene Seddik 《Computers, Materials & Continua》 SCIE EI 2026年第5期1743-1772,共30页
Securing restricted zones such as airports,research facilities,and military bases requires robust and reliable access control mechanisms to prevent unauthorized entry and safeguard critical assets.Face recognition has... Securing restricted zones such as airports,research facilities,and military bases requires robust and reliable access control mechanisms to prevent unauthorized entry and safeguard critical assets.Face recognition has emerged as a key biometric approach for this purpose;however,existing systems are often sensitive to variations in illumination,occlusion,and pose,which degrade their performance in real-world conditions.To address these challenges,this paper proposes a novel hybrid face recognition method that integrates complementary feature descriptors such as Fuzzy-Gabor 2D Fisher Linear Discriminant(FG-2DFLD),Generalized 2D Linear Discriminant Analysis(G2DLDA),andModular-Local Binary Patterns(Modular-LBP)with Dempster–Shafer(DS)evidence theory for decision fusion.The proposed framework extracts global,structural,and local texture features,models them using Gaussian distributions to estimate belief factors,and fuses these belief factors through DS theory to explicitly handle uncertainty and conflict among descriptors.Experimental validation was performed on two widely used benchmark datasets,ORL and Cropped Yale B,achieving recognition rates exceeding 98%,which outperform traditional methods as well as recent deep learning-based approaches.Furthermore,the method demonstrated strong robustness under noisy conditions,maintaining accuracies above 96%with salt-and-pepper and Gaussian noise.These results highlight the effectiveness of the proposed integration strategy in enhancing accuracy,reliability,and resilience compared to single-descriptor and conventional fusion methods.Given its high performance and efficiency,the proposed method shows strong potential for deployment in real-world restricted-zone applications such as smart parking systems,secure facility access,and other high-security domains. 展开更多
关键词 Face recognition feature extraction FG-2DFLD G2DLDA Modular-LBP evidence theory mass function gaussian distribution classification
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Toward AI-Agent-Native 6G Networks:A Survey on Protocols,Multimodal Coordination,and ISCC-Driven Dynamic Networking 认领 引用
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作者 Zhang Xiaotian Xiao Han +2 位作者 Wang Dan Huang Zhenglei Xu Changqiao 《ZTE Communications》 2026年第2期16-25,共10页
As 6G approaches,the proliferation of large language models(LLMs)and embodied intelligence is driving a paradigm shift from the Internet of Things(IoT)to the Internet of Agents(IoA).However,traditional network archite... As 6G approaches,the proliferation of large language models(LLMs)and embodied intelligence is driving a paradigm shift from the Internet of Things(IoT)to the Internet of Agents(IoA).However,traditional network architectures,designed for content-agnostic data transmission,struggle to accommodate the bursty,reasoning-driven traffic patterns and rigorous multimodal synchronization requirements of autonomous agents.This paper surveys the AI-agent communication network(ACN),aiming to bridge the gap between static network resources and dynamic agent tasks.We analyze the evolution from bit-oriented transmission to agentic syntax protocols,which enable intentbased signaling and semantic compression.Furthermore,we explore mechanisms for multi-agent collaborative consensus and distributed decision-making under the constraints of unstable wireless environments.We critically focus on task-driven dynamic networking,examining how integrated sensing,communication,and computing(ISCC)and network-embedded agents(NEA)facilitate the real-time generation of task graphs and intent-aware traffic scheduling.To synthesize these technologies,we propose a reference framework,the Deep-Agentic Network Architecture(DAN-Arch),which vertically integrates physical-layer sensing with application-layer reasoning flows.Finally,open challenges regarding energy efficiency,cross-domain governance,and 3GPP standardization pathways are discussed to guide future research towards a fully agent-native 6G ecosystem. 展开更多
关键词 AI-agent communication network(ACN) 6G architecture network-embedded agent(NEA) integrated sensing,communication,and computing(ISCC) multi-agent coordination
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Taurodeoxycholic,taurocholic,and glycocholic acids promote hepatic gluconeogenesis via TGR5 in dairy cows 认领 引用 被引量：1
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作者 Miaomiao Zhu Yining Zheng +7 位作者 Shiyang Lou Ruixu Zhang Dingping Feng Xinjian Lei Lei Chen Jianguo Wang Junhu Yao Lu Deng 《Journal of Animal Science and Biotechnology》 SCIE CAS CSCD 2026年第1期500-515,共16页
Background Ruminants and monogastric animals exhibit significant differences in gluconeogenic efficiency.In dairy cows,hepatic gluconeogenesis serves as the primary source of glucose.Metabolites modulate gluconeogenes... Background Ruminants and monogastric animals exhibit significant differences in gluconeogenic efficiency.In dairy cows,hepatic gluconeogenesis serves as the primary source of glucose.Metabolites modulate gluconeogenesis efficiency through allosteric regulation,redox state,and signal transduction pathways.However,the liver-enriched metabolites that regulate hepatic gluconeogenesis in dairy cows and their specific regulatory mechanisms remain incompletely characterized.Results Six Holstein dairy cows and six Duroc×(Landrace×Yorkshire)(DLY)crossbred pigs served as research subjects.Employing non-targeted and targeted metabolomics,we discovered that three bile acids—taurodeoxycholic acid(TDCA),taurocholic acid(TCA),and glycocholic acid(GCA)—were highly enriched in Holstein dairy cows'livers.In bovine hepatocytes,individual or combined stimulation of these bile acids significantly upregulated the expression of gluconeogenesis genes(FBP1,PCK1 and G6PC)and enhanced glucose production.In fasting mice with induced gluconeogenesis,TDCA,TCA,and GCA increased fasting blood glucose levels,and pyruvate tolerance tests further revealed their capacity to enhance hepatic gluconeogenesis,enabling more efficient glucose synthesis from pyruvate.Mechanistically,these bile acids activated Takeda G protein-coupled receptor 5(TGR5),elevated intracellular cAMP levels,and ultimately enhanced gluconeogenesis via the transcription factor cAMP-response element binding protein(CREB).Notably,a TGR5 inhibitor abrogated the stimulatory effects of TDCA,TCA,and GCA on hepatic gluconeogenesis in fasting mice.Conclusion TDCA,TCA,and GCA are key metabolites promoting hepatic gluconeogenesis in dairy cows,with TGR5 as the pivotal receptor and the cAMP/PKA/CREB pathway as the critical downstream mechanism. 展开更多
关键词 cAMP-response element binding protein GluconeoGenesis Glycocholic acid Takeda G protein-coupled receptor 5 Taurocholic acid Taurodeoxycholic acid
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A Task-Driven Design Approach for 6G AI-Native Architecture 认领 引用 被引量：1
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作者 Xiaoyun Wang Lu Lu +4 位作者 Qin Li Qi Sun Nanxiang Shi Ziqi Chen Tao Sun 《Engineering》 SCIE EI CSCD 2026年第1期87-103,共17页
The deep integration of mobile networks with artificial intelligence(AI)has emerged as a pivotal driving force for the sixth-generation(6G)mobile network.AI-native 6G represents a paradigm shift for mobile networks,as... The deep integration of mobile networks with artificial intelligence(AI)has emerged as a pivotal driving force for the sixth-generation(6G)mobile network.AI-native 6G represents a paradigm shift for mobile networks,as it not only embeds AI into network components to enhance network intelligence and automation but also transforms 6G into a foundational infrastructure for enabling pervasive AI applications and services.This paper proposes a novel 6G AI-native architecture.The challenges and requirements for the AI-native 6G mobile network are first analyzed,followed by the development of a task-driven approach for architecture design based on insights from system theory.Then,a 6G AI-native architecture is proposed,featuring the integration of distributed AI data and computing components with layered centralized collaborative control and flexible on-demand deployment.Key components and procedures for the 6G AI-native architecture are also discussed in detail.Finally,standardization practices for the convergence of mobile networks and AI in fifth-generation(5G)networks are analyzed,and an outlook on the standardization of AI-native design in 6G is given.This paper aims to provide not only theoretical insights into AI-native architecture design methodology but also a comprehensive 6G AI-native architecture that lays a foundation for the transition from mobile communications toward mobile information services in the 6G era. 展开更多
关键词 Sixth-generation(6g)mobile network Artificial intelligence 6G AI-native architecture Task-driven approach
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Adaptive Net-Profit-Based Scheduling with Minimizing Mutual Exclusion vRB Allocation in 5G-A NR Networking 认领 引用 被引量：1
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作者 Wei-Teng Chang Ben-Jye Chang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第4期1290-1318,共29页
Some critical applications of emergency,Active Safe Driving(ASD),eV2X,and LEO communications require ultra-low delay and highly reliable transmission according to beyond 5G-Advanced(5G-A),6G,and LEO specifications.Rel... Some critical applications of emergency,Active Safe Driving(ASD),eV2X,and LEO communications require ultra-low delay and highly reliable transmission according to beyond 5G-Advanced(5G-A),6G,and LEO specifications.Related studies proposed various scheduling algorithms in terms of single and multiple QoS requirements.However,these approaches tend to prioritize traditional QoS requirements while neglecting crucial considerations such as bearer costs and associated benefits.Moreover,most scheduling neglects the carrying cost according to the radio resource state and the bringing reward from different types of flows.Thus,this paper proposes a novel cost-based flow scheduling(eSCFS)framework that utilizes an extended sigmoid function to dynamically prioritize flows,taking into account all relevant key factors.The principal objective is to reduce latency while optimizing the utilization of radio RB and maximizing the net benefits of 5G-A NR networks.The eSCFS method has been validated through numerical simulations,which demonstrated superior key performance metrics,including network latency,resource utilization,and overall profitability.Consequently,several objectives are thus achieved:1)analyzing the QoS requirements of various services within limited radio resources,2)proposing a novel vRB state-dependent dynamic flow scheduling and adaptive virtual radio RB management to maximize network performance. 展开更多
关键词 5G-advanced 6G frequency numerology flow scheduling radio RB
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Construction of an S-scheme g-C3N4/TiO2 heterostructure for tetracycline degradation and hydrogen production 认领 引用 被引量：1
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作者 AN Mingze ZHANG Bingbing +6 位作者 YANG Zhao PU Hao CHEN Weijie XUE Bin WANG Sheng DING Xiaoyan SHI Lulu 《无机化学学报》 SCIE CAS CSCD 北大核心 2026年第4期843-860,共18页
To overcome the limitations of traditional photocatalysts,such as inefficient separation of charge carriers and poor visible-light absorption,S-scheme g-C3N4/TiO2 heterojunction photocatalysts were synthesize... To overcome the limitations of traditional photocatalysts,such as inefficient separation of charge carriers and poor visible-light absorption,S-scheme g-C3N4/TiO2 heterojunction photocatalysts were synthesized via a combined method of thermal polymerization,hydrothermal synthesis,and calcination.The crystal structures,morphological features,and optical properties of the composites were systematically characterized,and their photocatalytic performance was evaluated through tetracycline(TC)degradation and hydrogen evolution experiments.Trapping experiments and electron paramagnetic resonance(EPR)measurements were conducted to elucidate the reaction mechanisms.The results demonstrate that the S-scheme heterojunction effectively extends the visible-light absorption range and facilitates the efficient separation of photogenerated electron-hole pairs.Under optimal conditions,the composite achieved a TC degradation rate of 94.5%and a hydrogen evolution rate of 329.1μmol·h-1·g-1 after 8 h of irradiation,both values being significantly higher than those of pristine g-C3N4 or TiO2.Moreover,the S-scheme g-C3N4/TiO2 heterojunction retained high photocatalytic activity over five consecutive cycles,confirming its excellent stability.Mechanistic investigations revealed that the S-scheme heterojunction maintained strong redox capacities,with superoxide radicals(·O2-),hydroxyl radicals(·OH),electrons(e-),and holes(h+)serving as the primary active species responsible for TC degradation and H2 production. 展开更多
关键词 S-scheme heterojunction g-C3N4/TiO2 photocatalysis tetracycline degradation photocatalytic hydrogen production
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A Comprehensive Survey on Blockchain-Enabled Techniques and Federated Learning for Secure 5G/6G Networks:Challenges,Opportunities,and Future Directions 认领 引用
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作者 Muhammad Asim Abdelhamied A.Ateya +4 位作者 Mudasir Ahmad Wani Gauhar Ali Mohammed ElAffendi Ahmed A.Abd El-Latif Reshma Siyal 《Computers, Materials & Continua》 SCIE EI 2026年第3期117-161,共45页
The growing developments in 5G and 6G wireless communications have revolutionized communications technologies,providing faster speeds with reduced latency and improved connectivity to users.However,it raises significa... The growing developments in 5G and 6G wireless communications have revolutionized communications technologies,providing faster speeds with reduced latency and improved connectivity to users.However,it raises significant security challenges,including impersonation threats,data manipulation,distributed denial of service(DDoS)attacks,and privacy breaches.Traditional security measures are inadequate due to the decentralized and dynamic nature of next-generation networks.This survey provides a comprehensive review of how Federated Learning(FL),Blockchain,and Digital Twin(DT)technologies can collectively enhance the security of 5G and 6G systems.Blockchain offers decentralized,immutable,and transparent mechanisms for securing network transactions,while FL enables privacy-preserving collaborative learning without sharing raw data.Digital Twins create virtual replicas of network components,enabling real-time monitoring,anomaly detection,and predictive threat analysis.The survey examines major security issues in emerging wireless architectures and analyzes recent advancements that integrate FL,Blockchain,and DT to mitigate these threats.Additionally,it presents practical use cases,synthesizes key lessons learned,and identifies ongoing research challenges.Finally,the survey outlines future research directions to support the development of scalable,intelligent,and robust security frameworks for next-generation wireless networks. 展开更多
关键词 5G/6G blockchain federated learning edge computing security
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Fucosylated IgG Contributes to Adipose Tissue Dysfunction During Aging 认领 引用
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作者 Jingyu Wang Wei Su +3 位作者 Haotian Wang Licui Liu Jinlong Li Youxin Wang 《Engineering》 SCIE EI CSCD 2026年第2期149-158,共10页
Immunoglobulin G(IgG)is recognized as a key regulator of metabolic dysfunction and fibrosis in adipose tissue,and its functional properties are tightly regulated by its glycosylation profile.However,the role of Ig G g... Immunoglobulin G(IgG)is recognized as a key regulator of metabolic dysfunction and fibrosis in adipose tissue,and its functional properties are tightly regulated by its glycosylation profile.However,the role of Ig G glycosylation in adipose aging remains unclear.Here,we performed transcriptomic and glycoproteomic analyses of epididymal white adipose tissue(eWAT)from young and aged mice.RNA sequencing(RNA-seq)analysis revealed a significant downregulation of adipogenic genes in aged eWAT,accompanied by elevated expression levels of inflammatory and fibrotic markers,which were further validated by quantitative polymerase chain reaction(qPCR).N-and O-glycoproteomic analyses revealed widespread changes in glycosylation.Differentially glycosylated proteins are primarily localized to the extracellular space and participate in innate immune responses,transport and signal transduction,extracellular matrix(ECM)–receptor interaction pathways,and so on.Notably,IgG glycosylation levels were significantly increased in aged mice.Specifically,the N-fucosylation of IgG1,IgG2a,and IgG3 was elevated by 3.1-,10.4-,and 3.2-fold,respectively,while only IgG2a showed increased O-fucosylation.These findings suggest that N-fucosylation is a common age-related modification across IgG subtypes.Using in vivo models,we further demonstrated that B-cell depletion-induced IgG reduction increased adipogenic and inflammatory gene expression,while the expression of fibrotic markers was suppressed.These effects were reversed upon repletion with either fucosylated or nonfucosylated IgG.Importantly,compared with nonfucosylated IgG,fucosylated IgG exacerbated inflammation and fibrosis but inhibited adipogenesis more strongly.Taken together,our results identify fucosylated IgG as a key mediator of adipose dysfunction during aging and suggest that modulating IgG fucosylation may offer therapeutic potential for age-related metabolic disorders. 展开更多
关键词 Immunoglobulin G Fucosylation Adipose tissue aging Glycosylation Metabolic dysfunction Fibrosis
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