The technological advancement of the vehicular Internet ofThings(IoT)has revolutionized Intelligent Transportation Systems(ITS)into next-generation ITS.The connectivity of IoT nodes enables improved data availability ...The technological advancement of the vehicular Internet ofThings(IoT)has revolutionized Intelligent Transportation Systems(ITS)into next-generation ITS.The connectivity of IoT nodes enables improved data availability and facilitates automatic control in the ITS environment.The exponential increase in IoT nodes has significantly increased the demand for an energy-efficient,mobility-aware,and secure system for distributed intelligence.This article presents a mobility-aware Deep Reinforcement Learning based Federated Learning(DRL-FL)approach to design an energy-efficient and threat-resilient ITS.In this approach,a Policy Proximal Optimization(PPO)-based DRL agent is first employed for adaptive client selection.Second,an autoencoder-based anomaly detectionmodule is considered for malicious node detection.Results reveal that the proposed framework achieved an 8%higher accuracy increase,and 15%lower energy consumption.Themodel also demonstrates greater resilience under adversarial conditions compared to the state of the art in federated learning.The adaptability of the proposed approach makes it a compelling choice for next-generation vehicular networks.展开更多
This study empirically examines how land finance in destination and origin cities affects willingness to engage in labor mobility and explores the underlying mechanisms.Using a two-way fixed effects model,we match mac...This study empirically examines how land finance in destination and origin cities affects willingness to engage in labor mobility and explores the underlying mechanisms.Using a two-way fixed effects model,we match macro data from 287 prefecture-level cities in China from 2000 to 2020 with data from the 2018 China Migrant Dynamic Survey(CMDS).The results are as follows:First,land finance in destination cities inhibits labor mobility willingness,while land finance in origin cities and labor mobility willingness have a U-shaped relationship,decreasing initially and then increasing.Second,local governments’dependence on land finance increases local housing prices and suppresses investment in non-economic public goods in the administrative area,thereby inhibiting labor mobility willingness;however,this also increases investment in economic public goods,attracting labor mobility willingness.Third,labor force age weakens the impact of land finance in origin cities on labor mobility willingness;however,age does not affect the impact of land finance in destination cities on labor mobility willingness.Fourth,land finance increases laborers’willingness to settle.展开更多
In mobility-as-a-service(MaaS)platforms integrating ridesharing with public transit,each rider-driver pair may have multiple potential matches via different transfer nodes,with users being self-interested with heterog...In mobility-as-a-service(MaaS)platforms integrating ridesharing with public transit,each rider-driver pair may have multiple potential matches via different transfer nodes,with users being self-interested with heterogeneous preferences.After generating all feasible integrated matches,a two-sided one-to-one stable matching model is formulated to maximize platform revenue,where each feasible match corresponds to a stability constraint embedding preference information.To solve this model efficiently,an iterative constraint-generation algorithm is designed.It repeatedly solves a restricted master problem to obtain a temporary solution and a subproblem to identify violated stability constraints,iterating until no violations remain.The proposed algorithm can significantly improve computational efficiency.Compared with a centralized matching benchmark with the blocking rate up to 75%,stable matching increases transit usage and user acceptance at the cost of a 31.43% reduction in average platform revenue.Riders experience longer detours with greater cost savings,whereas drivers exhibit the opposite pattern.展开更多
In recent years,two-dimensional(2D)materials have attracted significant attention in the field of photodetection due to their unique physical and chemical prope rties.However,the development of new2D semiconductors wi...In recent years,two-dimensional(2D)materials have attracted significant attention in the field of photodetection due to their unique physical and chemical prope rties.However,the development of new2D semiconductors with narrow bandgaps,high carrier mobility,and excellent optical absorption remains a substantial challenge.In this study,via first-principles calculations,a family of 2D semiconductors,AOBiX2(A=La,Tb,Lu;X=S,Se),is predicted to exhibit the desired properties.Specifically,the thermodynamic,dynamic,thermal,and mechanical stabilities of AOBiX2are assessed by analyzing their formation energies,phonon dispersion,ab initio molecular dynamics(AIMD)simulations,and elastic constants,respectively.Furthermore,the adsorption energy calculations demonstrate that AOBiX2retains stability in a humid/oxygen environment.Electronic structure analysis reveals that 2D AOBiX2has ideal narrow bandgaps(ranging from 0.52 to 0.80 eV)and high carrier mobility(up to5137.94 cm2/(V·s)for LaOBiS2).The photoconductivity is also calculated to explain the optoelectronic response characteristics of these materials,further confirming their exceptional performance in optoelectronic devices.Optical properties show that these materials have an extremely broad absorption range,covering the near-infrared(NIR)to visible and ultraviolet(UV)regions,with the optical absorption rate exceeding 26%,indicating excellent optical absorption performance.Additionally,their elastic properties exhibit remarkable flexibility,making them ideal candidates for the design and fabrication of flexible optoelectronic devices.Given that the cleavage energies of AOBiX2are even lower than those of graphene,these materials are promising candidates for experimental fabrication and provide ideal platforms for designing new high-performance photodetectors.展开更多
Urban transportation systems exhibit structurally spatial inequity,characterized by inadequate service in non‑central areas and persistent first/last‑mile challenges,disproportionately impacting vulnerable populations...Urban transportation systems exhibit structurally spatial inequity,characterized by inadequate service in non‑central areas and persistent first/last‑mile challenges,disproportionately impacting vulnerable populations.While existing solutions like Community‑Based Transportation(CBT),micromobility,ride‑hailing,micro‑transit,and Autonomous Shuttle Buses(ASB)offer partial remedies,they often suffer from limitations such as scale constraints,cost barriers,technological immaturity,or profit‑driven biases.To overcome these systemic shortcomings,this paper proposes and elaborates on the Community‑Based Ultra‑Flex Autonomous Mobility System(CBUAMS),a novel,integrated socio‑technical framework explicitly designed to advance urban transportation spatial equity.Crucially,CBUAMS is envisioned not as an isolated system but as a complementary and synergistic component.It is designed for seamless integration with existing urban transportation modes to enhance overall network efficiency and accessibility.CBUAMS is founded on three core pillars—community‑based operations,ultra‑flex service—and an adapted autonomous mobility system,and achieves equity goals through synergistic,multi‑dimensional strategies:1)Spatial restructuring via a“Three‑Ring Model”(Core,Coordination,External Rings)that redefines the community as the basic unit for mobility planning and prioritizes local circulation;2)Equity‑oriented technological innovation,featuring a proposed Community‑Based Autonomous Driving Classification(C‑ADC)tailored for community contexts and costs,and low‑cost,inclusive Vehicle‑to‑Everything(V2X)deployment strategies to ensure broad accessibility;and 3)Polycentric community governance through a“government‑enterprise‑community”tripartite model that fosters collaboration,responsiveness,and sustainability.This research details the conceptual underpinnings,operational mechanisms,key technological components,and inherent engineering management challenges of CBUAMS.By offering a holistic,integrated approach that confronts systemic inequities,CBUAMS presents a promising new paradigm and practical blueprint with significant potential to redefine urban accessibility,enhance transportation equity,and contribute to a more sustainable and just city future.展开更多
Photoelectrochemical(PEC)technology provides a promising pathway for converting solar energy into storable chemical fuels,primarily through water splitting and the oxidation of small molecules[1].The development of ef...Photoelectrochemical(PEC)technology provides a promising pathway for converting solar energy into storable chemical fuels,primarily through water splitting and the oxidation of small molecules[1].The development of eficient photoelectrode materials is essential to achieve high PEC performance.Transition-metal oxides have emerged as highly promising photoanode materials due to their excellent performance,tunable electronic structures,costeffectiveness,and inherent chemical stability.展开更多
Introduction:In China,the areas adjacent to endemic countries remain vulnerable to imported Plasmodium vivax(P.vivax)after elimination.This study examined the long-term spatiotemporal and demographic changes of P.viva...Introduction:In China,the areas adjacent to endemic countries remain vulnerable to imported Plasmodium vivax(P.vivax)after elimination.This study examined the long-term spatiotemporal and demographic changes of P.vivax in Yingjiang,a border county that reported China's last indigenous malaria case,to inform post-elimination surveillance.Methods:The study analyzed 1,639 confirmed P.vivax cases from 2010 to 2024,comparing elimination(2010–2016)and post-elimination(2017–2024),and distinguishing imported from indigenous cases.Examining the impact of coronavirus disease 2019(COVID-19),post-elimination phase divided into three sub-phases:pre-pandemic(2017–2019),intensive border control pandemic(2020–2022),and post-pandemic(2023–2024).Demographic,temporal,and spatial patterns were compared across phases using standard statistical and spatial methods.Results:Overall,94.1%of the cases were imported from 2010 to 2024.Intensive border control reduced imported cases by 28.4%but rebounded by 122.0%after policy relaxation.Cases remained predominantly male,while imported cases shifted toward older age groups and more diverse occupations.Spatial clusters persisted along the southern border,with clear seasonal peaks linked to cross-border movement.Conclusion:Despite demographic shifts,malaria imports showed stable spatiotemporal patterns driven by persistent human mobility.Targeted surveillance of high-risk populations and hotspots,with efficient response and collaboration mechanisms,is critical for sustaining a malaria-free status.展开更多
The development of new n-type semiconductors is crucial for the further advancement of electronic and optoelectronic devices.Steamed buns,anciently known as"man tou",mainly made of wheat flour and are one of...The development of new n-type semiconductors is crucial for the further advancement of electronic and optoelectronic devices.Steamed buns,anciently known as"man tou",mainly made of wheat flour and are one of the staple foods for Chinese people.After being subjected to high-temperature treatment,the steamed buns transformed into carbonized steamed buns(CSB)with porous nanostructures,which exhibit a Hall mobility of up to 1.62 cm2/(V·s),far greater than C60(1.5×10-3-2.5×10-2 cm2/(V·s)),PCBM(2.0×10-7 cm2/(V·s))and many polymer semiconductors(~10-6-10-2 cm2/(V·s)).A CSB-based bulk heterojunction memristor with a configuration of ITOhe CSB:PVK blends/Al is successfully fabricated.The device shows outstanding history dependent memristive switching performance,with 35 distinguishable conductance states,at a small sweep voltage range of±1 V.An achieved production yield reaches up to 89%.Upon being subjected to consecutive positive or negative voltage sweeps,the current flowing through the device can be modulated continuously.When the 15 consecutive pulse voltages(pulse amplitude:0.1 V;pulse width:10μs,pulse period:20μs)were applied to the device,the observed total power consumption was about 7.63 nJ,suggesting a potential in low-energy neuromorphic computing applications.As expected,both the CSB and PVK do not exhibit any memristive effect under the same experimental condition.Utilizing the characteristic that the device can linearly adjust the weights,a simple convolutional neural network for traffic sign recognition was successfully constructed.After 300 rounds of training,the achieved recognition accuracy rate reached 88.77%.This work not only provides a new approach for developing low-cost and readily available organic semiconductors with high Hall mobility,but also offers a new idea for the subsequent development of high-performance artificial synapses and optoelectronic devices using carbonized steamed buns.展开更多
This study investigated the impact of the simultaneous application of rice straw(RS)and sulfate,mimicking actual agricultural practices,on arsenic(As)mobility in paddy soils under repetitive redox oscillation conditio...This study investigated the impact of the simultaneous application of rice straw(RS)and sulfate,mimicking actual agricultural practices,on arsenic(As)mobility in paddy soils under repetitive redox oscillation conditions.While previous studies primarily focused on the individual effects of organic amendments or sulfate on As mobility,this study explored their combined effects to provide a more comprehensive understanding of As dynamics in paddy soils.Microcosm experiments were conducted to observe changes in As mobility during two flood-drain cycles,analyze As and iron(Fe)fractionation using Wenzel sequential extraction,and examine changes in the relative abundance of microorganisms involved in Fe reduction.The simultaneous application of RS and sulfate increased the relative abundance of microorganisms involved in Fe reduction and promoted reducing conditions,significantly increasing Fe oxide reductive dissolution and As concentrations in porewater during the first flood-drain cycle.Arsenic concentrations in porewater ranged from 0.4 to 5.3 mg/L without applications and from 4.3 to 20.7 mg/L with simultaneous application of RS and sulfate.Meanwhile,redox oscillations decreased As mobility by approximately 68%–87%,attributed to decreased dissolved organic carbon concentrations and increased Fe oxide crystallinity.These findings highlight the dynamic nature of As mobility in response to environmental factors associated with actual agricultural practices and provide valuable insights into understanding As contamination in paddy soils.展开更多
In this study,a detailed experimental characterization of the relative ion abundance bias and the ion fragmentation in an ion funnel trap were reported by using both cytochrome C and ubiquitin samples in a tandem ion ...In this study,a detailed experimental characterization of the relative ion abundance bias and the ion fragmentation in an ion funnel trap were reported by using both cytochrome C and ubiquitin samples in a tandem ion funnel hybrid ion mobility spectrometer/quadrupole time-of-flight mass spectrometer(IMS/QTOF MS).Specifically,signals of multiple interfering ions appeared in the MS spectra acquired at a relatively short ion filling time of the ion funnel trap for both selected protein samples,while they were absent at longer ion filling time.Further MS/MS studies confirmed that these interfering ions are derived from the fragmentation of the protein ions occurring before the IMS drift tube.The possible reasons for the ion fragmentation,including the ion fragmentation at the exit of the inlet capillary and the radio frequency(RF)heating in two ion funnels,were systematically studied.By carefully adjusting the voltages on each relevant component,the experimental results demonstrated that the ion fragmentation indeed occurs in the ion funnel trap due to excessive RF heating when the RF voltage was higher than 130 V.Therefore,it is extremely important to set the reasonable operation conditions for the ion funnel trap to avoid both ion fragmentation and ion storage bias in IMS/QTOF MS.展开更多
Carbon-based perovskite solar cells(C-PSCs)have attracted much attention due to their simple preparation technique,low price,and good hydrophobicity.Among them,the hole transport layer(HTL)plays a crucial role.It acts...Carbon-based perovskite solar cells(C-PSCs)have attracted much attention due to their simple preparation technique,low price,and good hydrophobicity.Among them,the hole transport layer(HTL)plays a crucial role.It acts as a bridge,responsible for efficiently collecting and transporting photogenerated holes while blocking electrons and reducing charge complexation.However,the direct contact of the alkyl side chain of P3 HT with the perovskite film will reduce the electronic contact between perovskite and P3 HT,the hole transport efficiency becomes low,and the passivation contact is slightly insufficient,which will exacerbate the non-radiative compounding of PSCs.In this work,N,N-dimethylphenylammonium tetra(pentafluorophenyl)borate(DMA-TPFB)is used as a p-type dopant to modify P3 HT and decrease the reorganization energy of exciton dissociation(λED),charge diffusion transfer(λCDT),and nonradiative charge recombination(λCR),leading to a lowered hole reorganization energyλ(h).The strong electronwithdrawing property of DMA-TPFB also makes the P3 HT energy level changes,leading to a better energy level matching of the film,reducing the interfacial charge complex,and improving the device open-circuit voltage.In addition,the pentafluorophenyl in DMA-TPFB has high hydrophobicity,and after doping,a dense fluorinated layer can be formed on the surface of the P3 HT film,which further enhances the moisture-proof performance of the material and synergistically improves the wet thermal stability of the device.The results showed that the DMA-TPFB doped device achieved a photoelectric conversion efficiency(PCE)of 18.78%,which was significantly higher than that of the control device of 15.87%.The unencapsulated target device retained 75%of its initial efficiency after aging in air at room temperature and40–60%relative humidity for 720 h.展开更多
Unmanned aerial vehicles(UAVs)are becoming a common solution to urban mobility,and traffic monitoring as well,owing to their ability to be deployed flexibly,ability to see a broader area and real-time sensing.However,...Unmanned aerial vehicles(UAVs)are becoming a common solution to urban mobility,and traffic monitoring as well,owing to their ability to be deployed flexibly,ability to see a broader area and real-time sensing.However,the reliability of UAV-assisted traffic systems can be compromised through identity spoofing,Sybil attacks,false data injection,and trajectory manipulation.Current authentication techniques primarily verify cryptographic identities but often cannot detect when a claimed identity is inconsistent with physical movement patterns and settings.To overcome this drawback,this paper presents a context-aware identity validation system,CIV-UAV,for UAV-based urban traffic surveillance.The paradigm combines a model of cryptographic validation,model mobility,on-the-fly visual,road-network,temporal continuity,anomaly scoring,and multi-UAV consensus into a cohesive trust-based validation model.The risk-adaptive policy also adjusts the validation strictness based on the seriousness of the situation and the level of uncertainty.The outcomes of simulations indicate that CIV-UAV enhances identity validation,lowers the false detection and false acceptance rates,and reinforces the detection of spoofing,Sybil behaviour,path forgery,injection of fake events,and vision-communication mismatch attacks.The suggested architecture provides an identity validation system that is easy to implement and can be upgraded to a next-generation UAV-intelligent transportation network.展开更多
High mobility group box 1 is a dynamic nuclear protein that acts as a damage-associated molecular pattern when released from cells and plays key roles in neurodegenerative diseases.This review comprehensively analyzes...High mobility group box 1 is a dynamic nuclear protein that acts as a damage-associated molecular pattern when released from cells and plays key roles in neurodegenerative diseases.This review comprehensively analyzes the related post-translational modifications that affect the dual functions of high mobility group box 1 in neuroinflammation and neuronal survival,including acetylation,phosphorylation,oxidation,S-nitrosylation,lactylation,and ubiquitination.Post-translational modifications play critical regulatory roles in high mobility group box 1 subcellular localization,release processes and the specificity of receptor binding.In Alzheimer's disease,high mobility group box 1 exacerbates the disease through the Toll-like receptor 4uclear factor kappa B signaling pathway.Inhibition of high mobility group box 1 acetylation can alleviate neuroinflammation.Parkinson's disease models indicate that the S-nitrosylation of Cys106 is essential for the secretion of high mobility group box 1,which contributes to dopaminergic degeneration through the activation of microglia.In multiple sclerosis,high mobility group box 1 obstructs remyelination by inhibiting the maturation of oligodendrocytes and activating pro-inflammatory pathways.In contrast,high mobility group box 1 can maintain autophagy and DNA repair functions,suggesting its protective role.Therapeutic strategies targeting high mobility group box 1 show potential benefits.Glycyrrhizic acid inhibits disulfide-linked high mobility group box 1,SIRT activators suppress acetylation,and anti-high mobility group box 1 antibodies neutralize extracellular isoforms,thereby improving the results of preclinical studies.However,the diverse functions of high mobility group box 1 and the lack of post-translational modificationspecific biomarkers present challenges for clinical translation.Future research should aim to create selective inhibitors that can cross the blood-brain barrier to target harmful forms of high mobility group box 1,and establish post-translational modification-based biomarkers for early detection.This review emphasizes that accurately targeting of high mobility group box 1 post-translational modifications in neurodegenerative diseases could be a new approach that can interrupt neuroinflammatory cascades while maintaining neuroprotective functions.展开更多
This paper develops an operational framework for short-horizon risk management in multistate stochastic systems,with application to wind farm performance.We focus on instantaneous mobility-based indicators derived fro...This paper develops an operational framework for short-horizon risk management in multistate stochastic systems,with application to wind farm performance.We focus on instantaneous mobility-based indicators derived from finite-state continuous-time Markov chains,which capture the local propensity of a system to transition between states.Unlike classical reliability and availability measures,these indicators provide a dynamic description of system behavior.The indicators are interpreted as policy signals to support decision-making under budget constraints.We introduce a state-conditional expected short-horizon loss,representing non-production risk,and use it to evaluate ranking-based intervention strategies.The framework is applied to a global dataset of wind farms.Results show that mobility-based indicators,especially those related to transition intensity,outperform standard availability proxies in identifying high-risk conditions and concentrating expected losses among top-ranked observations.This supports their use as effective tools for data-driven,policy-oriented risk management.展开更多
Bilayer MoS2 is a promising channel candidate for extending Moore’s law,owing to its optimal channel thickness and improved suppression of extrinsic scattering compared to monolayers.However,its intrinsic phonon-l...Bilayer MoS2 is a promising channel candidate for extending Moore’s law,owing to its optimal channel thickness and improved suppression of extrinsic scattering compared to monolayers.However,its intrinsic phonon-limited electron mobility is severely limited by enhanced K–Q intervalley scattering arising from the multivalley conduction band feature inherent to the bilayer structure.To overcome this bottleneck,we propose a“valley separation engineering”strategy that combines a twist angle near 30°with applied stress.Our first-principles calculations demonstrate that although valley separation can be continuously increased using this strategy,the electron mobility saturates at∼200 cm2⋅V−1⋅s−1.The saturation is attributed to the competition between the reduced effective mass and enhanced intravalley scattering induced by phonon softening once the detrimental intervalley scattering is effectively suppressed by sufficient valley separation.This study establishes a theoretical upper limit for the intrinsic electron transport of bilayer MoS2 masked by severe intervalley scattering.展开更多
High-mobility Unmanned Aerial Vehicle(UAV)swarm networks suffer from fast-varying connectivity and interference,and therefore routing decisions must jointly account for link instability and topology changes.By leverag...High-mobility Unmanned Aerial Vehicle(UAV)swarm networks suffer from fast-varying connectivity and interference,and therefore routing decisions must jointly account for link instability and topology changes.By leveraging mobile edge computing(MEC)capabilities,each UAV can perform online routing decisions locally without relying on centralized controllers.This paper develops a Predictive-Q learning framework for dynamic routing under interference and mobility,where the Q-value is trained by a multi-factor reward that explicitly models retransmission costs,predicts link lifetime from relative motion,and anticipates forward connectivity and neighbor redundancy.To further enhance reliability under harsh interference,we extend Predictive-Q with a lightweight dual-path forwarding mechanism.Specifically,it conditionally splits a backup routing when the primary next hop becomes unreliable,and terminates the backup early when continued forwarding is unlikely to be beneficial,thereby controlling overhead.Simulation results demonstrate that,compared with existing methods,the proposed Predictive-Q-Dual improves packet delivery ratio by more than 15%over GPSR under strong interference while maintaining low delay and energy consumption across varying interference intensity,node density,and mobility speed.展开更多
Mobile fog computing must support latency-sensitive applications under dynamic user mobility and time-varying network conditions.Existing mobility-aware scheduling approaches are largely reactive and often ignore pred...Mobile fog computing must support latency-sensitive applications under dynamic user mobility and time-varying network conditions.Existing mobility-aware scheduling approaches are largely reactive and often ignore prediction uncertainty,resulting in service disruptions and inefficient task migration.This paper proposes an uncertainty-aware digital twin-based orchestration framework for proactive mobility-aware fog computing.The framework maintains real-time synchronized digital twins of users and fog nodes and integrates a hybrid Gated Recurrent Unit-Exponentially Weighted Moving Average(GRU-EWMA)mobility prediction model with fog-load forecasting to enable joint mobility-and load-aware decision-making.An entropy-based confidence mechanism is introduced to regulate proactive handover and task migration,thereby reducing unnecessary task migrations when predictions are uncertain.The proposed framework is implemented in the MobFogSim simulator and evaluated against state-of-the-art baselines.Experimental results demonstrate that the proposed approach reduces the average task delay by up to 28.1%,decreases energy consumption by up to 9.5%,and improves the task success rate to 99.1%,while incurring only a modest digital-twin computational overhead.These results confirm that integrating uncertainty-aware mobility prediction with digital twin-driven orchestration significantly enhances reliability and efficiency in mobile fog computing environments.展开更多
As the frontier of multidimensional transportation systems,urban air mobility(UAM)is receiving increasing attention from international organizations,governments,and stakeholders in industry and academia owing to its h...As the frontier of multidimensional transportation systems,urban air mobility(UAM)is receiving increasing attention from international organizations,governments,and stakeholders in industry and academia owing to its high efficiency,low carbon footprint,and operational flexibility.Vertical take-off and landing(VTOL)infrastructure is the core facility that enables UAM and is therefore essential for its safe,efficient,and large-scale commercial implementation.However,the key technologies for establishing low-altitude VTOL infrastructure are still nascent,and government,industry,and academia have yet to harmonize the corresponding construction,management,and operation standards.To address this gap,we herein systematically review the related progress and trends,comprehensively surveying the key technologies of establishing VTOL infrastructure serving unmanned aerial vehicles(UAVs)and electric VTOL aircraft from three complementary perspectives of ground-side,airspace-side,and communication,navigation,surveillance,and information services.In the light of future UAM operations characterized by diverse vehicle types and dense air traffic,we propose a conceptual design for a public multioperator VTOL site to provide constructive insights into the sustainable growth of the low-altitude economy.展开更多
Lynne Pearce is a professor of Literary and Cultural Theory at Lancaster University,United Kingdom,where she has worked for over thirty years.Her early publications focused on feminist theory and reader-response theor...Lynne Pearce is a professor of Literary and Cultural Theory at Lancaster University,United Kingdom,where she has worked for over thirty years.Her early publications focused on feminist theory and reader-response theory,and afterwards she has been centrally involved in the development of the"Humanities turn"within mobilities scholarship.This interview engages Professor Pearce in dialogue on important topics such as the current state of mobility research and its significance in literary studies.It centers on how Pearce first became involved in mobilities research,the history and evolution of this field in Sociology and Geography,the recent"Humanities turn",as well as the theoretical/methodological explorations of the implications of bringing mobilities research and textual analysis together.Specific areas include:the tension between mobility as a"real-world"phenomenon and its role in textual representations;the value of phenomenological methods in exploring the significance of mobility in literary and other texts;the value of mobilities theories and methods in offering new perspectives on 20th century texts;and,finally,how recent research on"mobility futures"is making particular use of science-fiction/speculative fiction in confronting challenging contemporary issues such as migration(and enforced immobility),the climate crisis,and the multiple dimensions of mobility justice.展开更多
While fears of AI-driven unemployment persist,technological efficiencies also offer unprecedented opportunities to redefine social safety nets.This study introduces a design framework of Time Token(TT)platforms that l...While fears of AI-driven unemployment persist,technological efficiencies also offer unprecedented opportunities to redefine social safety nets.This study introduces a design framework of Time Token(TT)platforms that leverage AI-enabled efficiencies and token incentives to implement mobility services as Universal Basic Services(UBS),addressing the core challenges of cost efficiency and sustainable funding.Utilizing empirical datasets from PAIR's proprietary mobility data platforms,we present two data-driven case studies of TT platforms:the taxi TT platform has successfully deployed TT to address incentive problems for taxi drivers taking short-distance airport trips;the bus TT platform further integrates the usage of TT and Mobility Token(MT)for self-sustaining revenue generation and equitable resource allocation,as well as leveraging AI-driven efficiency measures to deliver public bus services at a fraction of current costs.Finally,we urge policy-makers to expand current TT pilots and fund systematic research into interconnected token systems across the five core UBS domains.展开更多
基金supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project No.PNURSP2025R510Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
摘要The technological advancement of the vehicular Internet ofThings(IoT)has revolutionized Intelligent Transportation Systems(ITS)into next-generation ITS.The connectivity of IoT nodes enables improved data availability and facilitates automatic control in the ITS environment.The exponential increase in IoT nodes has significantly increased the demand for an energy-efficient,mobility-aware,and secure system for distributed intelligence.This article presents a mobility-aware Deep Reinforcement Learning based Federated Learning(DRL-FL)approach to design an energy-efficient and threat-resilient ITS.In this approach,a Policy Proximal Optimization(PPO)-based DRL agent is first employed for adaptive client selection.Second,an autoencoder-based anomaly detectionmodule is considered for malicious node detection.Results reveal that the proposed framework achieved an 8%higher accuracy increase,and 15%lower energy consumption.Themodel also demonstrates greater resilience under adversarial conditions compared to the state of the art in federated learning.The adaptability of the proposed approach makes it a compelling choice for next-generation vehicular networks.
基金funded by Major Project of the National Social Science Fund of China“Theory,Methods and Chinese Practices of National Welfare Accounting”[Grant No.22&ZD165]Key Project of the National Social Science Fund of China“Theoretical and Practical Research on the Compilation of Chinese Productivity Accounts”[Grant No.21AZD122].
摘要This study empirically examines how land finance in destination and origin cities affects willingness to engage in labor mobility and explores the underlying mechanisms.Using a two-way fixed effects model,we match macro data from 287 prefecture-level cities in China from 2000 to 2020 with data from the 2018 China Migrant Dynamic Survey(CMDS).The results are as follows:First,land finance in destination cities inhibits labor mobility willingness,while land finance in origin cities and labor mobility willingness have a U-shaped relationship,decreasing initially and then increasing.Second,local governments’dependence on land finance increases local housing prices and suppresses investment in non-economic public goods in the administrative area,thereby inhibiting labor mobility willingness;however,this also increases investment in economic public goods,attracting labor mobility willingness.Third,labor force age weakens the impact of land finance in origin cities on labor mobility willingness;however,age does not affect the impact of land finance in destination cities on labor mobility willingness.Fourth,land finance increases laborers’willingness to settle.
基金The National Natural Science Foundation of China(No.72231002,72371070).
摘要In mobility-as-a-service(MaaS)platforms integrating ridesharing with public transit,each rider-driver pair may have multiple potential matches via different transfer nodes,with users being self-interested with heterogeneous preferences.After generating all feasible integrated matches,a two-sided one-to-one stable matching model is formulated to maximize platform revenue,where each feasible match corresponds to a stability constraint embedding preference information.To solve this model efficiently,an iterative constraint-generation algorithm is designed.It repeatedly solves a restricted master problem to obtain a temporary solution and a subproblem to identify violated stability constraints,iterating until no violations remain.The proposed algorithm can significantly improve computational efficiency.Compared with a centralized matching benchmark with the blocking rate up to 75%,stable matching increases transit usage and user acceptance at the cost of a 31.43% reduction in average platform revenue.Riders experience longer detours with greater cost savings,whereas drivers exhibit the opposite pattern.
基金Project supported by the National Natural Science Foundation of China(12464040)the Natural Science Foundation of Inner Mongolia Autonomous Region(2024MS01004)the Fundamental Research Funds for the Inner Mongolia Normal University(2023JBZD006)。
摘要In recent years,two-dimensional(2D)materials have attracted significant attention in the field of photodetection due to their unique physical and chemical prope rties.However,the development of new2D semiconductors with narrow bandgaps,high carrier mobility,and excellent optical absorption remains a substantial challenge.In this study,via first-principles calculations,a family of 2D semiconductors,AOBiX2(A=La,Tb,Lu;X=S,Se),is predicted to exhibit the desired properties.Specifically,the thermodynamic,dynamic,thermal,and mechanical stabilities of AOBiX2are assessed by analyzing their formation energies,phonon dispersion,ab initio molecular dynamics(AIMD)simulations,and elastic constants,respectively.Furthermore,the adsorption energy calculations demonstrate that AOBiX2retains stability in a humid/oxygen environment.Electronic structure analysis reveals that 2D AOBiX2has ideal narrow bandgaps(ranging from 0.52 to 0.80 eV)and high carrier mobility(up to5137.94 cm2/(V·s)for LaOBiS2).The photoconductivity is also calculated to explain the optoelectronic response characteristics of these materials,further confirming their exceptional performance in optoelectronic devices.Optical properties show that these materials have an extremely broad absorption range,covering the near-infrared(NIR)to visible and ultraviolet(UV)regions,with the optical absorption rate exceeding 26%,indicating excellent optical absorption performance.Additionally,their elastic properties exhibit remarkable flexibility,making them ideal candidates for the design and fabrication of flexible optoelectronic devices.Given that the cleavage energies of AOBiX2are even lower than those of graphene,these materials are promising candidates for experimental fabrication and provide ideal platforms for designing new high-performance photodetectors.
基金financially supported by National Natural Science Foundation of China(Grant Nos.72431009,72171210,and 72350710798)Zhejiang Provincial Natural Science Foundation of China(No.LZ23E080002)Zhejiang University,Smart Urban Future Laboratory,Zhejiang Province,China.
摘要Urban transportation systems exhibit structurally spatial inequity,characterized by inadequate service in non‑central areas and persistent first/last‑mile challenges,disproportionately impacting vulnerable populations.While existing solutions like Community‑Based Transportation(CBT),micromobility,ride‑hailing,micro‑transit,and Autonomous Shuttle Buses(ASB)offer partial remedies,they often suffer from limitations such as scale constraints,cost barriers,technological immaturity,or profit‑driven biases.To overcome these systemic shortcomings,this paper proposes and elaborates on the Community‑Based Ultra‑Flex Autonomous Mobility System(CBUAMS),a novel,integrated socio‑technical framework explicitly designed to advance urban transportation spatial equity.Crucially,CBUAMS is envisioned not as an isolated system but as a complementary and synergistic component.It is designed for seamless integration with existing urban transportation modes to enhance overall network efficiency and accessibility.CBUAMS is founded on three core pillars—community‑based operations,ultra‑flex service—and an adapted autonomous mobility system,and achieves equity goals through synergistic,multi‑dimensional strategies:1)Spatial restructuring via a“Three‑Ring Model”(Core,Coordination,External Rings)that redefines the community as the basic unit for mobility planning and prioritizes local circulation;2)Equity‑oriented technological innovation,featuring a proposed Community‑Based Autonomous Driving Classification(C‑ADC)tailored for community contexts and costs,and low‑cost,inclusive Vehicle‑to‑Everything(V2X)deployment strategies to ensure broad accessibility;and 3)Polycentric community governance through a“government‑enterprise‑community”tripartite model that fosters collaboration,responsiveness,and sustainability.This research details the conceptual underpinnings,operational mechanisms,key technological components,and inherent engineering management challenges of CBUAMS.By offering a holistic,integrated approach that confronts systemic inequities,CBUAMS presents a promising new paradigm and practical blueprint with significant potential to redefine urban accessibility,enhance transportation equity,and contribute to a more sustainable and just city future.
基金supported by the National Natural Science Foundation of China(Nos.52472241 and 52403108)the Department of Science and Technology of Hubei Province(Nos.2025AFA114 and2024CSA076)+1 种基金the Hubei Provincial Department of Education(Q20231703)the Xinjiang Key Laboratory of Novel Functional Materials Chemistry Open Science Project(XJLNFMC-202506)。
摘要Photoelectrochemical(PEC)technology provides a promising pathway for converting solar energy into storable chemical fuels,primarily through water splitting and the oxidation of small molecules[1].The development of eficient photoelectrode materials is essential to achieve high PEC performance.Transition-metal oxides have emerged as highly promising photoanode materials due to their excellent performance,tunable electronic structures,costeffectiveness,and inherent chemical stability.
基金Supported by National Key Research and Development Program of China(2024YFC2310902)Bill and Melinda Gates Foundation(INV-061480).
摘要Introduction:In China,the areas adjacent to endemic countries remain vulnerable to imported Plasmodium vivax(P.vivax)after elimination.This study examined the long-term spatiotemporal and demographic changes of P.vivax in Yingjiang,a border county that reported China's last indigenous malaria case,to inform post-elimination surveillance.Methods:The study analyzed 1,639 confirmed P.vivax cases from 2010 to 2024,comparing elimination(2010–2016)and post-elimination(2017–2024),and distinguishing imported from indigenous cases.Examining the impact of coronavirus disease 2019(COVID-19),post-elimination phase divided into three sub-phases:pre-pandemic(2017–2019),intensive border control pandemic(2020–2022),and post-pandemic(2023–2024).Demographic,temporal,and spatial patterns were compared across phases using standard statistical and spatial methods.Results:Overall,94.1%of the cases were imported from 2010 to 2024.Intensive border control reduced imported cases by 28.4%but rebounded by 122.0%after policy relaxation.Cases remained predominantly male,while imported cases shifted toward older age groups and more diverse occupations.Spatial clusters persisted along the southern border,with clear seasonal peaks linked to cross-border movement.Conclusion:Despite demographic shifts,malaria imports showed stable spatiotemporal patterns driven by persistent human mobility.Targeted surveillance of high-risk populations and hotspots,with efficient response and collaboration mechanisms,is critical for sustaining a malaria-free status.
基金financially supported by the National Natural Science Foundation of China(51961145402)。
摘要The development of new n-type semiconductors is crucial for the further advancement of electronic and optoelectronic devices.Steamed buns,anciently known as"man tou",mainly made of wheat flour and are one of the staple foods for Chinese people.After being subjected to high-temperature treatment,the steamed buns transformed into carbonized steamed buns(CSB)with porous nanostructures,which exhibit a Hall mobility of up to 1.62 cm2/(V·s),far greater than C60(1.5×10-3-2.5×10-2 cm2/(V·s)),PCBM(2.0×10-7 cm2/(V·s))and many polymer semiconductors(~10-6-10-2 cm2/(V·s)).A CSB-based bulk heterojunction memristor with a configuration of ITOhe CSB:PVK blends/Al is successfully fabricated.The device shows outstanding history dependent memristive switching performance,with 35 distinguishable conductance states,at a small sweep voltage range of±1 V.An achieved production yield reaches up to 89%.Upon being subjected to consecutive positive or negative voltage sweeps,the current flowing through the device can be modulated continuously.When the 15 consecutive pulse voltages(pulse amplitude:0.1 V;pulse width:10μs,pulse period:20μs)were applied to the device,the observed total power consumption was about 7.63 nJ,suggesting a potential in low-energy neuromorphic computing applications.As expected,both the CSB and PVK do not exhibit any memristive effect under the same experimental condition.Utilizing the characteristic that the device can linearly adjust the weights,a simple convolutional neural network for traffic sign recognition was successfully constructed.After 300 rounds of training,the achieved recognition accuracy rate reached 88.77%.This work not only provides a new approach for developing low-cost and readily available organic semiconductors with high Hall mobility,but also offers a new idea for the subsequent development of high-performance artificial synapses and optoelectronic devices using carbonized steamed buns.
基金supported by the Korea Environmental Industry&Technology Institute through the Aquatic Ecosystem Conservation Research Program,funded by the Korea Ministry of Environment(MOE)(No.2021003050001)the National Research Foundation of Korea(NRF)grant,funded by the Ministry of Science and ICT(MSIT)(No.NRF-2022R1F1A1076510)by the Basic Science Research Program through the NRF,funded by the Ministry of Education(No.RS-2024-00409649).
摘要This study investigated the impact of the simultaneous application of rice straw(RS)and sulfate,mimicking actual agricultural practices,on arsenic(As)mobility in paddy soils under repetitive redox oscillation conditions.While previous studies primarily focused on the individual effects of organic amendments or sulfate on As mobility,this study explored their combined effects to provide a more comprehensive understanding of As dynamics in paddy soils.Microcosm experiments were conducted to observe changes in As mobility during two flood-drain cycles,analyze As and iron(Fe)fractionation using Wenzel sequential extraction,and examine changes in the relative abundance of microorganisms involved in Fe reduction.The simultaneous application of RS and sulfate increased the relative abundance of microorganisms involved in Fe reduction and promoted reducing conditions,significantly increasing Fe oxide reductive dissolution and As concentrations in porewater during the first flood-drain cycle.Arsenic concentrations in porewater ranged from 0.4 to 5.3 mg/L without applications and from 4.3 to 20.7 mg/L with simultaneous application of RS and sulfate.Meanwhile,redox oscillations decreased As mobility by approximately 68%–87%,attributed to decreased dissolved organic carbon concentrations and increased Fe oxide crystallinity.These findings highlight the dynamic nature of As mobility in response to environmental factors associated with actual agricultural practices and provide valuable insights into understanding As contamination in paddy soils.
基金National Natural Science Foundation of China(U20A20121)。
摘要In this study,a detailed experimental characterization of the relative ion abundance bias and the ion fragmentation in an ion funnel trap were reported by using both cytochrome C and ubiquitin samples in a tandem ion funnel hybrid ion mobility spectrometer/quadrupole time-of-flight mass spectrometer(IMS/QTOF MS).Specifically,signals of multiple interfering ions appeared in the MS spectra acquired at a relatively short ion filling time of the ion funnel trap for both selected protein samples,while they were absent at longer ion filling time.Further MS/MS studies confirmed that these interfering ions are derived from the fragmentation of the protein ions occurring before the IMS drift tube.The possible reasons for the ion fragmentation,including the ion fragmentation at the exit of the inlet capillary and the radio frequency(RF)heating in two ion funnels,were systematically studied.By carefully adjusting the voltages on each relevant component,the experimental results demonstrated that the ion fragmentation indeed occurs in the ion funnel trap due to excessive RF heating when the RF voltage was higher than 130 V.Therefore,it is extremely important to set the reasonable operation conditions for the ion funnel trap to avoid both ion fragmentation and ion storage bias in IMS/QTOF MS.
基金supported by the Project of National Natural Science Foundation(52262035,52462034)Major Science and Technology Project of Gansu Province(24ZD13GA018,22ZD6GA008)+1 种基金Hong Liu Excellent Youth Project of Lanzhou University of technologyKey Research Program of Education Department of Gansu Province(GSSYLXM-03)。
摘要Carbon-based perovskite solar cells(C-PSCs)have attracted much attention due to their simple preparation technique,low price,and good hydrophobicity.Among them,the hole transport layer(HTL)plays a crucial role.It acts as a bridge,responsible for efficiently collecting and transporting photogenerated holes while blocking electrons and reducing charge complexation.However,the direct contact of the alkyl side chain of P3 HT with the perovskite film will reduce the electronic contact between perovskite and P3 HT,the hole transport efficiency becomes low,and the passivation contact is slightly insufficient,which will exacerbate the non-radiative compounding of PSCs.In this work,N,N-dimethylphenylammonium tetra(pentafluorophenyl)borate(DMA-TPFB)is used as a p-type dopant to modify P3 HT and decrease the reorganization energy of exciton dissociation(λED),charge diffusion transfer(λCDT),and nonradiative charge recombination(λCR),leading to a lowered hole reorganization energyλ(h).The strong electronwithdrawing property of DMA-TPFB also makes the P3 HT energy level changes,leading to a better energy level matching of the film,reducing the interfacial charge complex,and improving the device open-circuit voltage.In addition,the pentafluorophenyl in DMA-TPFB has high hydrophobicity,and after doping,a dense fluorinated layer can be formed on the surface of the P3 HT film,which further enhances the moisture-proof performance of the material and synergistically improves the wet thermal stability of the device.The results showed that the DMA-TPFB doped device achieved a photoelectric conversion efficiency(PCE)of 18.78%,which was significantly higher than that of the control device of 15.87%.The unencapsulated target device retained 75%of its initial efficiency after aging in air at room temperature and40–60%relative humidity for 720 h.
基金supported by the Korea Institute of Marine Science and Technology Promotion(KIMST),in 2022 through the Project is Development and Demonstration of Data Platform for AI Based Safe Fishing Vessel Design(Grant Number:RS-2022-KS221571).
摘要Unmanned aerial vehicles(UAVs)are becoming a common solution to urban mobility,and traffic monitoring as well,owing to their ability to be deployed flexibly,ability to see a broader area and real-time sensing.However,the reliability of UAV-assisted traffic systems can be compromised through identity spoofing,Sybil attacks,false data injection,and trajectory manipulation.Current authentication techniques primarily verify cryptographic identities but often cannot detect when a claimed identity is inconsistent with physical movement patterns and settings.To overcome this drawback,this paper presents a context-aware identity validation system,CIV-UAV,for UAV-based urban traffic surveillance.The paradigm combines a model of cryptographic validation,model mobility,on-the-fly visual,road-network,temporal continuity,anomaly scoring,and multi-UAV consensus into a cohesive trust-based validation model.The risk-adaptive policy also adjusts the validation strictness based on the seriousness of the situation and the level of uncertainty.The outcomes of simulations indicate that CIV-UAV enhances identity validation,lowers the false detection and false acceptance rates,and reinforces the detection of spoofing,Sybil behaviour,path forgery,injection of fake events,and vision-communication mismatch attacks.The suggested architecture provides an identity validation system that is easy to implement and can be upgraded to a next-generation UAV-intelligent transportation network.
基金supported by the Natural Science Foundation of Hubei Province for Distinguished Young Scholars,No.2022CFA104(to Yiyuan X)the Key Research and Development Program of Wuhan,No.2024020802030159(to Yiyuan X)+1 种基金the Scientific Research Projects of Wuhan Municipal Health Commission,No.WX23Q16(to JL)the Foundation of Wuhan Pulmonary Hospital,No.YNZZ202202(to JL)。
摘要High mobility group box 1 is a dynamic nuclear protein that acts as a damage-associated molecular pattern when released from cells and plays key roles in neurodegenerative diseases.This review comprehensively analyzes the related post-translational modifications that affect the dual functions of high mobility group box 1 in neuroinflammation and neuronal survival,including acetylation,phosphorylation,oxidation,S-nitrosylation,lactylation,and ubiquitination.Post-translational modifications play critical regulatory roles in high mobility group box 1 subcellular localization,release processes and the specificity of receptor binding.In Alzheimer's disease,high mobility group box 1 exacerbates the disease through the Toll-like receptor 4uclear factor kappa B signaling pathway.Inhibition of high mobility group box 1 acetylation can alleviate neuroinflammation.Parkinson's disease models indicate that the S-nitrosylation of Cys106 is essential for the secretion of high mobility group box 1,which contributes to dopaminergic degeneration through the activation of microglia.In multiple sclerosis,high mobility group box 1 obstructs remyelination by inhibiting the maturation of oligodendrocytes and activating pro-inflammatory pathways.In contrast,high mobility group box 1 can maintain autophagy and DNA repair functions,suggesting its protective role.Therapeutic strategies targeting high mobility group box 1 show potential benefits.Glycyrrhizic acid inhibits disulfide-linked high mobility group box 1,SIRT activators suppress acetylation,and anti-high mobility group box 1 antibodies neutralize extracellular isoforms,thereby improving the results of preclinical studies.However,the diverse functions of high mobility group box 1 and the lack of post-translational modificationspecific biomarkers present challenges for clinical translation.Future research should aim to create selective inhibitors that can cross the blood-brain barrier to target harmful forms of high mobility group box 1,and establish post-translational modification-based biomarkers for early detection.This review emphasizes that accurately targeting of high mobility group box 1 post-translational modifications in neurodegenerative diseases could be a new approach that can interrupt neuroinflammatory cascades while maintaining neuroprotective functions.
基金financial support from the European Union-NextGenerationEU program,Missione 4 Componente 1,CUP D53D23006470006,MUR PRIN 2022 n.2022ETEHRM“Stochastic models and techniques for the management of wind farms and power systems”by the Italian Ministero dell’Universitàe della Ricerca.
摘要This paper develops an operational framework for short-horizon risk management in multistate stochastic systems,with application to wind farm performance.We focus on instantaneous mobility-based indicators derived from finite-state continuous-time Markov chains,which capture the local propensity of a system to transition between states.Unlike classical reliability and availability measures,these indicators provide a dynamic description of system behavior.The indicators are interpreted as policy signals to support decision-making under budget constraints.We introduce a state-conditional expected short-horizon loss,representing non-production risk,and use it to evaluate ranking-based intervention strategies.The framework is applied to a global dataset of wind farms.Results show that mobility-based indicators,especially those related to transition intensity,outperform standard availability proxies in identifying high-risk conditions and concentrating expected losses among top-ranked observations.This supports their use as effective tools for data-driven,policy-oriented risk management.
基金supported by the National Key R&D Program of China (Grant No.2022YFA1402503)the High Performance Computing Center of Jilin University,China。
摘要Bilayer MoS2 is a promising channel candidate for extending Moore’s law,owing to its optimal channel thickness and improved suppression of extrinsic scattering compared to monolayers.However,its intrinsic phonon-limited electron mobility is severely limited by enhanced K–Q intervalley scattering arising from the multivalley conduction band feature inherent to the bilayer structure.To overcome this bottleneck,we propose a“valley separation engineering”strategy that combines a twist angle near 30°with applied stress.Our first-principles calculations demonstrate that although valley separation can be continuously increased using this strategy,the electron mobility saturates at∼200 cm2⋅V−1⋅s−1.The saturation is attributed to the competition between the reduced effective mass and enhanced intravalley scattering induced by phonon softening once the detrimental intervalley scattering is effectively suppressed by sufficient valley separation.This study establishes a theoretical upper limit for the intrinsic electron transport of bilayer MoS2 masked by severe intervalley scattering.
基金supported by National Natural Science Foundation of China(No.62271402)the Laboratory Construction and Management Research Project of Shandong University(No.sy20253502).
摘要High-mobility Unmanned Aerial Vehicle(UAV)swarm networks suffer from fast-varying connectivity and interference,and therefore routing decisions must jointly account for link instability and topology changes.By leveraging mobile edge computing(MEC)capabilities,each UAV can perform online routing decisions locally without relying on centralized controllers.This paper develops a Predictive-Q learning framework for dynamic routing under interference and mobility,where the Q-value is trained by a multi-factor reward that explicitly models retransmission costs,predicts link lifetime from relative motion,and anticipates forward connectivity and neighbor redundancy.To further enhance reliability under harsh interference,we extend Predictive-Q with a lightweight dual-path forwarding mechanism.Specifically,it conditionally splits a backup routing when the primary next hop becomes unreliable,and terminates the backup early when continued forwarding is unlikely to be beneficial,thereby controlling overhead.Simulation results demonstrate that,compared with existing methods,the proposed Predictive-Q-Dual improves packet delivery ratio by more than 15%over GPSR under strong interference while maintaining low delay and energy consumption across varying interference intensity,node density,and mobility speed.
基金funded by the Deanship of Scientific Research at Northern Border University.Arar,Saudi Arabia,under grant number NBU-FFR-2026-451-5.
摘要Mobile fog computing must support latency-sensitive applications under dynamic user mobility and time-varying network conditions.Existing mobility-aware scheduling approaches are largely reactive and often ignore prediction uncertainty,resulting in service disruptions and inefficient task migration.This paper proposes an uncertainty-aware digital twin-based orchestration framework for proactive mobility-aware fog computing.The framework maintains real-time synchronized digital twins of users and fog nodes and integrates a hybrid Gated Recurrent Unit-Exponentially Weighted Moving Average(GRU-EWMA)mobility prediction model with fog-load forecasting to enable joint mobility-and load-aware decision-making.An entropy-based confidence mechanism is introduced to regulate proactive handover and task migration,thereby reducing unnecessary task migrations when predictions are uncertain.The proposed framework is implemented in the MobFogSim simulator and evaluated against state-of-the-art baselines.Experimental results demonstrate that the proposed approach reduces the average task delay by up to 28.1%,decreases energy consumption by up to 9.5%,and improves the task success rate to 99.1%,while incurring only a modest digital-twin computational overhead.These results confirm that integrating uncertainty-aware mobility prediction with digital twin-driven orchestration significantly enhances reliability and efficiency in mobile fog computing environments.
基金supported by the National Natural Science Foundation of China(No.U2333214).
摘要As the frontier of multidimensional transportation systems,urban air mobility(UAM)is receiving increasing attention from international organizations,governments,and stakeholders in industry and academia owing to its high efficiency,low carbon footprint,and operational flexibility.Vertical take-off and landing(VTOL)infrastructure is the core facility that enables UAM and is therefore essential for its safe,efficient,and large-scale commercial implementation.However,the key technologies for establishing low-altitude VTOL infrastructure are still nascent,and government,industry,and academia have yet to harmonize the corresponding construction,management,and operation standards.To address this gap,we herein systematically review the related progress and trends,comprehensively surveying the key technologies of establishing VTOL infrastructure serving unmanned aerial vehicles(UAVs)and electric VTOL aircraft from three complementary perspectives of ground-side,airspace-side,and communication,navigation,surveillance,and information services.In the light of future UAM operations characterized by diverse vehicle types and dense air traffic,we propose a conceptual design for a public multioperator VTOL site to provide constructive insights into the sustainable growth of the low-altitude economy.
摘要Lynne Pearce is a professor of Literary and Cultural Theory at Lancaster University,United Kingdom,where she has worked for over thirty years.Her early publications focused on feminist theory and reader-response theory,and afterwards she has been centrally involved in the development of the"Humanities turn"within mobilities scholarship.This interview engages Professor Pearce in dialogue on important topics such as the current state of mobility research and its significance in literary studies.It centers on how Pearce first became involved in mobilities research,the history and evolution of this field in Sociology and Geography,the recent"Humanities turn",as well as the theoretical/methodological explorations of the implications of bringing mobilities research and textual analysis together.Specific areas include:the tension between mobility as a"real-world"phenomenon and its role in textual representations;the value of phenomenological methods in exploring the significance of mobility in literary and other texts;the value of mobilities theories and methods in offering new perspectives on 20th century texts;and,finally,how recent research on"mobility futures"is making particular use of science-fiction/speculative fiction in confronting challenging contemporary issues such as migration(and enforced immobility),the climate crisis,and the multiple dimensions of mobility justice.
摘要While fears of AI-driven unemployment persist,technological efficiencies also offer unprecedented opportunities to redefine social safety nets.This study introduces a design framework of Time Token(TT)platforms that leverage AI-enabled efficiencies and token incentives to implement mobility services as Universal Basic Services(UBS),addressing the core challenges of cost efficiency and sustainable funding.Utilizing empirical datasets from PAIR's proprietary mobility data platforms,we present two data-driven case studies of TT platforms:the taxi TT platform has successfully deployed TT to address incentive problems for taxi drivers taking short-distance airport trips;the bus TT platform further integrates the usage of TT and Mobility Token(MT)for self-sustaining revenue generation and equitable resource allocation,as well as leveraging AI-driven efficiency measures to deliver public bus services at a fraction of current costs.Finally,we urge policy-makers to expand current TT pilots and fund systematic research into interconnected token systems across the five core UBS domains.