This paper studies cooperative robust parallel operation of multiple actuators over an undirected communication graph.The plant is modeled as an uncertain linear system,and the actuators are linear and identical.Based...This paper studies cooperative robust parallel operation of multiple actuators over an undirected communication graph.The plant is modeled as an uncertain linear system,and the actuators are linear and identical.Based on the internal model principle,a distributed dynamic output feedback control law is proposed to achieve both robust output regulation of the closed-loop system and plant input sharing among the actuators.A practical example of five motors cooperatively driving an uncertain shaft under an external load torque is presented to show the effectiveness of the proposed control law.展开更多
This study reveals the critical role of multiscale interaction within the westerly wind bursts(WWBs)west of the MJO convection in modulating the prediction skill for the November MJO event during the DYNAMO(Dynamics o...This study reveals the critical role of multiscale interaction within the westerly wind bursts(WWBs)west of the MJO convection in modulating the prediction skill for the November MJO event during the DYNAMO(Dynamics of the Madden–Julian Oscillation)field campaign.The characteristics of the MJO convection envelope are obtained by the largescale precipitation tracking method,and a novel metric is introduced to quantify the prediction skill for the MJO convection in the ECMWF reforecast.The ECMWF forecast exhibits approximately 17 days in skillful prediction for the MJO convection—significantly lower than that derived from the global measure.The reforecast ensembles are further classified into high and low skill catalogs based on the mean prediction skill during the observed WWBs period.High-skill ensembles exhibit significantly enhanced low-level westerlies,amplified MJO convection,and reduced spatial separation between the low-level westerlies and MJO convection during the WWBs period,indicating stronger coupling between the large-scale circulation and the convection.Mechanistic analysis reveals that enhanced westerlies in high-skill ensembles can transfer more high-frequency energy to the MJO convection through the flux convergence of interaction energy for MJO convection development,resulting in better prediction skill.展开更多
To conduct marine surveys,multiple unmanned surface vessels(Multi-USV)with different capabilities perform collaborative mapping in multiple designated areas.This paper proposes a task allocation algorithm based on int...To conduct marine surveys,multiple unmanned surface vessels(Multi-USV)with different capabilities perform collaborative mapping in multiple designated areas.This paper proposes a task allocation algorithm based on integer linear programming(ILP)with flow balance constraints,ensuring the fair and efficient distribution of sub-areas among USVs and maintaining strong connectivity of assigned regions.In the established gridmap,a search-based path planning algorithm is performed on the sub-areas according to the allocation scheme.It uses the greedy algorithm and the A*algorithm to achieve complete coverage of the barrier-free area and obtain an efficient trajectory of each USV.The greedy algorithm enables fast local traversal of unvisited grids,while the A*algorithm ensures navigation to escape from deadlock areas and maintains global path continuity.The comparison of task allocation results proves that the task allocation algorithm based on ILP improves the mapping efficiency and task distribution fairness.The proposed allocation method and result analysis provide a certain reference for the practical application ofMulti-USV to perform survey tasks collaboratively.展开更多
Active inflammation in“inactive”progressive multiple sclerosis:Traditionally,the distinction between relapsing-remitting multiple sclerosis and progressive multiple sclerosis(PMS)has been framed as an inflammatory v...Active inflammation in“inactive”progressive multiple sclerosis:Traditionally,the distinction between relapsing-remitting multiple sclerosis and progressive multiple sclerosis(PMS)has been framed as an inflammatory versus degenerative dichotomy.This was based on a broad misconception regarding essentially all neurodegenerative conditions,depicting the degenerative process as passive and immune-independent occurring as a late byproduct of active inflammation in the central nervous system(CNS),which is(solely)systemically driven.展开更多
Multiscale mixing of the turbine blade tip leakage and mainstream flows causes considerable aerodynamic loss.Understanding it is crucial to correctly estimating the mixing loss and thus improving the turbine's per...Multiscale mixing of the turbine blade tip leakage and mainstream flows causes considerable aerodynamic loss.Understanding it is crucial to correctly estimating the mixing loss and thus improving the turbine's performance.The multiscale mixing phenomenon in a typical high-pressure turbine rotor flow was studied in this work.The contributions of various scale flows to entropy production and mixing properties were identified.The corresponding physical mechanisms at different scales were explored.It is shown that the large-scale and time-averaged flow contributions to mixing are significant,accounting for approximately 37.1% and 25% of the total.Time-averaged and large-scale flows cause the majority of the fluid deformation of the material surface,while mesoand small-scale flows just generate finer deformations.It raises the area stretch coefficient and the virtual concentration gradient.Thus,mixing is enhanced.Furthermore,time-averaged and large-scale flows account for the majority of the losses in the upstream and downstream regions of the blade tip respectively,accounting for approximately 53.8%and 33.5%of the total.The sheet-like structures—rather than the tip leaking vortex—are the primary source of the loss.High-dissipation regions are produced by the sheet-like structures via the pressure Hessian term and the self-amplification terms.展开更多
To solve the false detection and missed detection problems caused by various types and sizes of defects in the detection of steel surface defects,similar defects and background features,and similarities between differ...To solve the false detection and missed detection problems caused by various types and sizes of defects in the detection of steel surface defects,similar defects and background features,and similarities between different defects,this paper proposes a lightweight detection model named multiscale edge and squeeze-and-excitation attention detection network(MSESE),which is built upon the You Only Look Once version 11 nano(YOLOv11n).To address the difficulty of locating defect edges,we first propose an edge enhancement module(EEM),apply it to the process of multiscale feature extraction,and then propose a multiscale edge enhancement module(MSEEM).By obtaining defect features from different scales and enhancing their edge contours,the module uses the dual-domain selection mechanism to effectively focus on the important areas in the image to ensure that the feature images have richer information and clearer contour features.By fusing the squeeze-and-excitation attention mechanism with the EEM,we obtain a lighter module that can enhance the representation of edge features,which is named the edge enhancement module with squeeze-and-excitation attention(EEMSE).This module was subsequently integrated into the detection head.The enhanced detection head achieves improved edge feature enhancement with reduced computational overhead,while effectively adjusting channel-wise importance and further refining feature representation.Experiments on the NEU-DET dataset show that,compared with the original YOLOv11n,the improved model achieves improvements of 4.1%and 2.2%in terms of mAP@0.5 and mAP@0.5:0.95,respectively,and the GFLOPs value decreases from the original value of 6.4 to 6.2.Furthermore,when compared to current mainstream models,Mamba-YOLOT and RTDETR-R34,our method achieves superior performance with 6.5%and 8.9%higher mAP@0.5,respectively,while maintaining a more compact parameter footprint.These results collectively validate the effectiveness and efficiency of our proposed approach.展开更多
High-resolution remote sensing images(HRSIs)are now an essential data source for gathering surface information due to advancements in remote sensing data capture technologies.However,their significant scale changes an...High-resolution remote sensing images(HRSIs)are now an essential data source for gathering surface information due to advancements in remote sensing data capture technologies.However,their significant scale changes and wealth of spatial details pose challenges for semantic segmentation.While convolutional neural networks(CNNs)excel at capturing local features,they are limited in modeling long-range dependencies.Conversely,transformers utilize multihead self-attention to integrate global context effectively,but this approach often incurs a high computational cost.This paper proposes a global-local multiscale context network(GLMCNet)to extract both global and local multiscale contextual information from HRSIs.A detail-enhanced filtering module(DEFM)is proposed at the end of the encoder to refine the encoder outputs further,thereby enhancing the key details extracted by the encoder and effectively suppressing redundant information.In addition,a global-local multiscale transformer block(GLMTB)is proposed in the decoding stage to enable the modeling of rich multiscale global and local information.We also design a stair fusion mechanism to transmit deep semantic information from deep to shallow layers progressively.Finally,we propose the semantic awareness enhancement module(SAEM),which further enhances the representation of multiscale semantic features through spatial attention and covariance channel attention.Extensive ablation analyses and comparative experiments were conducted to evaluate the performance of the proposed method.Specifically,our method achieved a mean Intersection over Union(mIoU)of 86.89%on the ISPRS Potsdam dataset and 84.34%on the ISPRS Vaihingen dataset,outperforming existing models such as ABCNet and BANet.展开更多
Multiple sclerosis(MS)is a chronic disorder of the central nervous system characterized by multifocal lesions where inflammation,demyelination,and neurodegeneration occur(Jakimovski et al.,2024).MS diagnosis primarily...Multiple sclerosis(MS)is a chronic disorder of the central nervous system characterized by multifocal lesions where inflammation,demyelination,and neurodegeneration occur(Jakimovski et al.,2024).MS diagnosis primarily relies on the demonstration of dissemination in time and space of the lesions based on clinical,magnetic resonance imaging(MRI),and cerebrospinal fluid assessments(Jakimovski et al.,2024).展开更多
Loss of immune tolerance to central nervous system(CNS)antigens lies at the heart of multiple sclerosis(MS),the most common chronic autoimmune disease of the CNS.MS affects nearly2 million people wo rldwide and is cha...Loss of immune tolerance to central nervous system(CNS)antigens lies at the heart of multiple sclerosis(MS),the most common chronic autoimmune disease of the CNS.MS affects nearly2 million people wo rldwide and is chara cterized by focal areas of demyelination,inflammation,axonal injury,and neurodegeneration(Bronge et al.,2022;Magliozzi et al.,2023).展开更多
Characterization of mechanical alterations of shale constituent phases is critical for an in-depth understanding of the underlying mechanisms of shale softening.In this study,a hydro-thermal reaction system is set up ...Characterization of mechanical alterations of shale constituent phases is critical for an in-depth understanding of the underlying mechanisms of shale softening.In this study,a hydro-thermal reaction system is set up to mimic the interactions between shale and water-based fluids under the subsurface environment in shale formations.Using a coupled analysis of grid nanoindentation and in situ mineralogical identification,mechanical alterations of shale constituent mineral phases are revealed.Mechanical degradation of carbonate and clay phases is 10 times greater than quartz,pyrite and organic phases.The KCl additive greatly mitigates mechanical degradation of the clay phase.The high temperature and pressure results in a mechanical degradation of carbonate minerals as much as three times of that occurs at room temperature and atmospheric pressure.Multiscale mechanical models,which are established based on Mori-Tanaka(MT)and self-consistent(SC)schemes,predict more accurate elastic softening of shale composite than the microindentation experiments,due to the microcracks generated in the experiments.Based on the calculation of the multiscale mechanical model,under the subsurface environment of shale formations(e.g.80℃ and 8 MPa),the carbonate dissolution leads to a reduction in Young's modulus of shale composite by about 30%,while the degradation of clay minerals only causes a reduction by up to 9%.展开更多
With the continuous advancement of social technology and the increasing awareness of health management,biomass-based triboelectric nanogenerator(TENG)displayed significant potential as flexible wearable electronics fo...With the continuous advancement of social technology and the increasing awareness of health management,biomass-based triboelectric nanogenerator(TENG)displayed significant potential as flexible wearable electronics for continuous foot gait monitoring.Nevertheless,existing biomass-based TENG often faces challenges of insufficient mechanical robustness and durability in practical applications,where they are prone to surface abrasion and structural fracture under continuous compression and friction,severely limiting their long-term performances.In order to address these challenges,this work proposed a multiscale crosslinking strategy,which strengthened the noncovalent interactions within the polymer by constructing multiple reinforcement networks,successfully fabricating a dual-network C-lignin-based triboelectric material(CLTM)with excellent durability and crack resistance.Among them,the optimal CLTM(PSGCL-0.2)exhibited high mechanical strength(strain 445%,tensile strength 41.56 MPa,Young's modulus 41.25 MPa,toughness 159.67 MJ/m^(3))and excellent cyclic stability(300 cycles)with versatile functionalities,including antibacterial,antioxidant,and UV-shielding properties,water stabilization(255.51 g/m^(2)/d),efficient photothermal conversion,and full recyclability.Furthermore,biomass-based TENG device assembled from PSGCL-0.2 achieved stable triboelectric output properties(102.5 V,2.9μA,and 61.3 nC),and sustainable for 2000 cycles,fast response time(68 ms),and excellent power density(325.9 mW/m^(2)),effectively converting mechanical energy into electrical energy.Especially,PSGCL 0.2 was also integrated into the wireless self-powered smart insole,successfully enabling real-time visual monitoring of plantar pressure distribution and dynamic gait.Meanwhile,combined with the machine learning algorithm,the self-powered smart insole achieved precise recognition and classification of eight different motion states with an accuracy of 98%.This study provides the feasible strategy for developing extremely stable and durable biomass-based TENG,aimed at advancing sustainable intelligent healthcare systems.展开更多
As a representative insensitive high explosive,3-nitro-1,2,4-triazol-5-one(NTO)has garnered significant attention due to its ability to substantially reduce the risk of accidental detonation in munitions.However,its i...As a representative insensitive high explosive,3-nitro-1,2,4-triazol-5-one(NTO)has garnered significant attention due to its ability to substantially reduce the risk of accidental detonation in munitions.However,its inherent acidity induces severe interfacial corrosion of metal casings,thereby limiting its engineering applications.Based on the micro-corrosion mechanism of NTO on carbon steel(CS),this study designs an arginine-derived corrosion inhibitor,N2-[(phenylamino)thioxomethyl]-arginine(PTA).Electrochemical tests reveal that PTA exhibits an outstanding corrosion inhibition efficiency of 98.0%in NTO solution.Density functional theory(DFT)and molecular dynamics(MD)simulations elucidate the inhibition mechanism of PTA,demonstrating that it not only co-adsorbs with NTO^(−) onto the CS surface to form a dense and stable protective film but also disrupts the strong interactions between NTO^(−) and Fe,thereby suppressing nitro group-induced reduction,decomposition,and excessive surface oxidation.Furthermore,a PTA-loaded mesoporous silica(mSiO_(2))nanoparticles(NPs)-reinforced epoxy resin(EP)composite coating was constructed.Benefiting from the enhanced barrier properties of PTA@mSiO_(2) NPs and the synergistic effect between PTA and NTO^(−),the low-frequency impedance of the composite coating remained as high as 1.29×10^(9)Ω·cm^(2) after 30 days of immersion in NTO solution,exhibiting a two-order-of-magnitude improvement compared to the pure EP coating.This study proposes an effective corrosion control strategy to mitigate NTO-induced corrosion,providing insights into the development of advanced corrosion protection strategies for broader applications.展开更多
Formation control of multiple spacecraft has attracted extensive research attention.However,achieving reliable performance under sensor failures remains a significant challenge.This paper develops an integrated framew...Formation control of multiple spacecraft has attracted extensive research attention.However,achieving reliable performance under sensor failures remains a significant challenge.This paper develops an integrated framework that jointly designs distributed observers and local controllers to ensure robust formation control in the presence of external disturbances and sensor malfunctions.Treating the spacecraft formation as a single interconnected system,each spacecraft constructs a distributed observer that estimates the overall system state by incorporating both its own measurements and the predicted control information shared among the spacecraft.Based on the observer estimates,a local control law is synthesized to maintain the desired formation.Rigorous theoretical analysis and numerical simulations demonstrate that the proposed integrated approach effectively guarantees formation stability and resilience against sensor failures and disturbances.展开更多
Shallot and scallion are among the essential horticultural crops in the Mekong Delta of Vietnam,and their yields and quality are affected by the beet armyworm,Spodoptera exigua.To control this pest,farmers have used a...Shallot and scallion are among the essential horticultural crops in the Mekong Delta of Vietnam,and their yields and quality are affected by the beet armyworm,Spodoptera exigua.To control this pest,farmers have used a large number of insecticides,which has led to resistance due to continuous use and environmental harm,thereby increasing interest in biological methods,including the Spodoptera exigua multiple nucleopolyhedrovirus(SeMNPV).The study aims to assess the efficacy of the liquid and powder formulation of SeMNPV against Spodoptera exigua under the actual agricultural conditions of Soc Trang(Shallot)and Vinh Long provinces(Scallion).The experimental arrangement used four treatments:SeMNPV liquid,SeMNPV powder,Radiant 60SC(a chemical insecticide),and the control.Some of the factors evaluated were larval density,level of leaf damage,yield,and natural enemies attack.The SeMNPV powder had the least damage,only 0.97 per cent(damage of plant),and a yield of 28.59 t/ha,and was almost equally good as the Radiant 60SC,which produced a damage of 2.53 per cent(damage of plant)and a yield of 29.41 t/ha.SeMNPV treatments significantly reduced larval numbers(down to fewer than 10 larvae/m2 by day 40)and enhanced natural enemies,parasitoids,and microsporidia.The untreated one had the highest damage(8.03%),while the yield was lowest at 19.61 t/ha.Therefore,SeMNPV in powder form has the potential to control S.exigua infestations and to encourage biological control,making it a favourable,environmentally friendly addition to synthetic insecticides in the cultivation of shallot and scallion.展开更多
This paper is dedicated to fixed-time passivity and synchronization for multi-weighted spatiotemporal directed networks.First,to achieve fixed-time passivity,a type of decentralized power-law controller is developed,i...This paper is dedicated to fixed-time passivity and synchronization for multi-weighted spatiotemporal directed networks.First,to achieve fixed-time passivity,a type of decentralized power-law controller is developed,in which only one parameter needs to be adjusted in the power-law terms;this greatly decreases the inconvenience of parameter adjustment.Second,several fixed-time passivity criteria with LMI forms are derived by using a Gauss divergence theorem to deal with the spatial diffusion of nodes and by applying the Hölder’s inequality to dispose rigorously the power-law term greater than one in the designed control scheme;this improves the previous theoretical analysis.Additionally,the fixed-time synchronization of spatiotemporal directed networks with multi-weights is addressed as a direct result of fixed-time strict passivity.Finally,a numerical example is presented in order to show the validity of the theoretical analysis.展开更多
Driven by the trend of device miniaturization and high-density integration,the interaction between adjacent electrodes has become a critical factor affecting the interfacial reliability of thermoelectric(TE)structures...Driven by the trend of device miniaturization and high-density integration,the interaction between adjacent electrodes has become a critical factor affecting the interfacial reliability of thermoelectric(TE)structures.This study investigates the influence of adjoining electrode interactions on the interfacial response of a multi-electrode/TE substrate structure,including interfacial stresses and stress intensity factors at the electrode ends.To solve the corresponding boundary-value problem,the Fourier transforms are adopted to derive a governing integro-differential equation for the interfacial shear stress in multi-electrode systems,incorporating the TE effects as generalized forces on the right-hand side.The results show that both the interfacial tension and transverse stress in the electrodes are significantly affected by the presence of adjacent electrodes.The interaction between neighboring electrodes diminishes as their spacing increases or when an adhesive interlayer is introduced.Furthermore,the softer and thinner electrodes,the softer and thicker adhesive interlayer,and the smaller TE loads are found to be beneficial for improving the interfacial performance.These findings may contribute to the accurate measurement in surface sensors and layout design of multi-point health monitoring systems for TE structures.展开更多
BACKGROUND The accurate prediction of lymph node metastasis(LNM)is crucial for managing locally advanced(T3/T4)colorectal cancer(CRC).However,both traditional histopathology and standard slide-level deep learning ofte...BACKGROUND The accurate prediction of lymph node metastasis(LNM)is crucial for managing locally advanced(T3/T4)colorectal cancer(CRC).However,both traditional histopathology and standard slide-level deep learning often fail to capture the sparse and diagnostically critical features of metastatic potential.AIM To develop and validate a case-level multiple-instance learning(MIL)framework mimicking a pathologist's comprehensive review and improve T3/T4 CRC LNM prediction.METHODS The whole-slide images of 130 patients with T3/T4 CRC were retrospectively collected.A case-level MIL framework utilising the CONCH v1.5 and UNI2-h deep learning models was trained on features from all haematoxylin and eosinstained primary tumour slides for each patient.These pathological features were subsequently integrated with clinical data,and model performance was evaluated using the area under the curve(AUC).RESULTS The case-level framework demonstrated superior LNM prediction over slide-level training,with the CONCH v1.5 model achieving a mean AUC(±SD)of 0.899±0.033 vs 0.814±0.083,respectively.Integrating pathology features with clinical data further enhanced performance,yielding a top model with a mean AUC of 0.904±0.047,in sharp contrast to a clinical-only model(mean AUC 0.584±0.084).Crucially,a pathologist’s review confirmed that the model-identified high-attention regions correspond to known high-risk histopathological features.CONCLUSION A case-level MIL framework provides a superior approach for predicting LNM in advanced CRC.This method shows promise for risk stratification and therapy decisions,requiring further validation.展开更多
AIM:To investigate the changes of retinal vascular parameters and retinal layer thickness in patients with multiple sclerosis(MS).METHODS:This single-centered case-control study was performed on a MS group of 42 patie...AIM:To investigate the changes of retinal vascular parameters and retinal layer thickness in patients with multiple sclerosis(MS).METHODS:This single-centered case-control study was performed on a MS group of 42 patients diagnosed with MS and a control group of 43 healthy hospital staff matched in terms of age and sex at Iran University,department of neurology and ophthalmology from March 2020 to March 2021.The ophthalmic parameters of each patient were recorded,and optical coherence tomography was used to evaluate the retinal thickness in the layers.RESULTS:This study enrolled a total of 85 participants,with a mean age of 40.44±11.52 years,including 61 females(72%).The control group consisted of 43 individuals with a mean age of 39.49±11.07 years,while the MS group comprised 42 participants with a mean age of 41.40±12.01 years.The mean disease duration in the MS group was 8.45±6.04 a.The thickness of the ganglion cell layer in the right eye was significantly lower in the MS group compared to the control group(P=0.034).In addition,except for the left nasal sector(P=0.106),the mean peripapillary neurofibrillation in all examined sectors were significantly lower in the MS group than in the control group(P<0.05).The average vessel density in both the deep and superficial capillary plexuses across all regions of both eyes was lower in the MS group than in the control group,with all comparisons for the superficial capillary plexus showing statistical significance(P<0.05 for all except the left nasal sector).CONCLUSION:The thickness of the retina of patients with MS is significantly reduced.Therefore,optical coherence tomography results can be used as a reliable tool to evaluate disease progression and prognosis in MS patients.展开更多
Myelination in the central nervous system(CNS)is a highly intricate process,exclusive to vertebrates,that relies on the coordinated interaction between oligodendrocytes(OLs)and neurons.In addition to their role in for...Myelination in the central nervous system(CNS)is a highly intricate process,exclusive to vertebrates,that relies on the coordinated interaction between oligodendrocytes(OLs)and neurons.In addition to their role in forming myelin,accumulating evidence indicates that OLs provide crucial trophic support to axons,contributing to normal CNS function.Notably,OL injury and loss are observed in a variety of human conditions,including stroke,traumatic injuries of the brain and spinal cord,as well as neurodegenerative disorders such as multiple sclerosis(MS).展开更多
Under the influence of human activities,landscape fragmentation in the Wei River Basin(WRB)has become increasingly severe.Upstream development has intensified soil erosion,and industrial and agricultural pollution in ...Under the influence of human activities,landscape fragmentation in the Wei River Basin(WRB)has become increasingly severe.Upstream development has intensified soil erosion,and industrial and agricultural pollution in the middle reaches has degraded water quality.Rapid urbanization has further caused habitat fragmentation and biodiversity loss.Collectively,these challenges threaten human well-being and hinder sustainable development,making the construction and optimization of an ecological security pattern(ESP)urgently necessary.However,existing studies often fail to systematically integrate future landscape ecological risk(LER)assessment with ESP optimization.This study evaluated regional LER using the“ecological patches-ecological resistance surface(ERS)-ecological corridor”framework,combined with land-use predictions under three development scenarios,and optimized the ESP by adjusting the ERS and extracting ecological corridors.The results indicate that the LER in the WRB follows an“inverted N”distribution,with low-risk areas concentrated in forested mountain regions and high-risk areas mainly in cultivated land subject to intensive human activity.Across future scenarios,ESPs showed fewer ecological breakpoints and improved landscape connectivity than the 2020 baseline.Scenario-based differences emerged in the spatial configuration of ERS adjustments,with the ecological protection scenario yielding the lowest LER and most favorable ESP.This study demonstrates the deep integration of multi-scenario simulation with LER assessment,providing a new framework for ESP optimization.The findings have guiding significance for ecological protection and coordinated development in the WRB and offer a novel paradigm for sustainable development in ecologically fragile basins worldwide.展开更多
基金Supported by the Shenzhen Key Laboratory of Control Theory and Intelligent Systems (ZDSYS20220330161800001)the National Natural Science Foundation of China (62303207)the Guangdong Basic and Applied Basic Research Foundation (2024A1515010725)。
文摘This paper studies cooperative robust parallel operation of multiple actuators over an undirected communication graph.The plant is modeled as an uncertain linear system,and the actuators are linear and identical.Based on the internal model principle,a distributed dynamic output feedback control law is proposed to achieve both robust output regulation of the closed-loop system and plant input sharing among the actuators.A practical example of five motors cooperatively driving an uncertain shaft under an external load torque is presented to show the effectiveness of the proposed control law.
基金sponsored by the National Natural Science Foundation of China(Grant Nos.U2442206,42205067,and 41922035)the National Key R&D Program of China(Grant No.2024YFC3013100)the Key Research Program of Frontier Sciences of CAS(Grant No.QYZDB-SSW-DQC017).
文摘This study reveals the critical role of multiscale interaction within the westerly wind bursts(WWBs)west of the MJO convection in modulating the prediction skill for the November MJO event during the DYNAMO(Dynamics of the Madden–Julian Oscillation)field campaign.The characteristics of the MJO convection envelope are obtained by the largescale precipitation tracking method,and a novel metric is introduced to quantify the prediction skill for the MJO convection in the ECMWF reforecast.The ECMWF forecast exhibits approximately 17 days in skillful prediction for the MJO convection—significantly lower than that derived from the global measure.The reforecast ensembles are further classified into high and low skill catalogs based on the mean prediction skill during the observed WWBs period.High-skill ensembles exhibit significantly enhanced low-level westerlies,amplified MJO convection,and reduced spatial separation between the low-level westerlies and MJO convection during the WWBs period,indicating stronger coupling between the large-scale circulation and the convection.Mechanistic analysis reveals that enhanced westerlies in high-skill ensembles can transfer more high-frequency energy to the MJO convection through the flux convergence of interaction energy for MJO convection development,resulting in better prediction skill.
基金supported in part by the International Science and Technology Project of Guangzhou Development District under Grant 2023GH08the Science and Technology Development Fund,MSAR,under Grants 0029/2022/AGJ and 0029/2023/RIA1the Program of Guangdong under Grant 2023A0505020003.
文摘To conduct marine surveys,multiple unmanned surface vessels(Multi-USV)with different capabilities perform collaborative mapping in multiple designated areas.This paper proposes a task allocation algorithm based on integer linear programming(ILP)with flow balance constraints,ensuring the fair and efficient distribution of sub-areas among USVs and maintaining strong connectivity of assigned regions.In the established gridmap,a search-based path planning algorithm is performed on the sub-areas according to the allocation scheme.It uses the greedy algorithm and the A*algorithm to achieve complete coverage of the barrier-free area and obtain an efficient trajectory of each USV.The greedy algorithm enables fast local traversal of unvisited grids,while the A*algorithm ensures navigation to escape from deadlock areas and maintains global path continuity.The comparison of task allocation results proves that the task allocation algorithm based on ILP improves the mapping efficiency and task distribution fairness.The proposed allocation method and result analysis provide a certain reference for the practical application ofMulti-USV to perform survey tasks collaboratively.
文摘Active inflammation in“inactive”progressive multiple sclerosis:Traditionally,the distinction between relapsing-remitting multiple sclerosis and progressive multiple sclerosis(PMS)has been framed as an inflammatory versus degenerative dichotomy.This was based on a broad misconception regarding essentially all neurodegenerative conditions,depicting the degenerative process as passive and immune-independent occurring as a late byproduct of active inflammation in the central nervous system(CNS),which is(solely)systemically driven.
基金supported by the National Science and Technology Major Project,China(No.J2019-Ⅱ-0012-0032)。
文摘Multiscale mixing of the turbine blade tip leakage and mainstream flows causes considerable aerodynamic loss.Understanding it is crucial to correctly estimating the mixing loss and thus improving the turbine's performance.The multiscale mixing phenomenon in a typical high-pressure turbine rotor flow was studied in this work.The contributions of various scale flows to entropy production and mixing properties were identified.The corresponding physical mechanisms at different scales were explored.It is shown that the large-scale and time-averaged flow contributions to mixing are significant,accounting for approximately 37.1% and 25% of the total.Time-averaged and large-scale flows cause the majority of the fluid deformation of the material surface,while mesoand small-scale flows just generate finer deformations.It raises the area stretch coefficient and the virtual concentration gradient.Thus,mixing is enhanced.Furthermore,time-averaged and large-scale flows account for the majority of the losses in the upstream and downstream regions of the blade tip respectively,accounting for approximately 53.8%and 33.5%of the total.The sheet-like structures—rather than the tip leaking vortex—are the primary source of the loss.High-dissipation regions are produced by the sheet-like structures via the pressure Hessian term and the self-amplification terms.
基金funded by Ministry of Education Humanities and Social Science Research Project,grant number 23YJAZH034The Postgraduate Research and Practice Innovation Program of Jiangsu Province,grant number SJCX25_17National Computer Basic Education Research Project in Higher Education Institutions,grant number 2024-AFCEC-056,2024-AFCEC-057.
文摘To solve the false detection and missed detection problems caused by various types and sizes of defects in the detection of steel surface defects,similar defects and background features,and similarities between different defects,this paper proposes a lightweight detection model named multiscale edge and squeeze-and-excitation attention detection network(MSESE),which is built upon the You Only Look Once version 11 nano(YOLOv11n).To address the difficulty of locating defect edges,we first propose an edge enhancement module(EEM),apply it to the process of multiscale feature extraction,and then propose a multiscale edge enhancement module(MSEEM).By obtaining defect features from different scales and enhancing their edge contours,the module uses the dual-domain selection mechanism to effectively focus on the important areas in the image to ensure that the feature images have richer information and clearer contour features.By fusing the squeeze-and-excitation attention mechanism with the EEM,we obtain a lighter module that can enhance the representation of edge features,which is named the edge enhancement module with squeeze-and-excitation attention(EEMSE).This module was subsequently integrated into the detection head.The enhanced detection head achieves improved edge feature enhancement with reduced computational overhead,while effectively adjusting channel-wise importance and further refining feature representation.Experiments on the NEU-DET dataset show that,compared with the original YOLOv11n,the improved model achieves improvements of 4.1%and 2.2%in terms of mAP@0.5 and mAP@0.5:0.95,respectively,and the GFLOPs value decreases from the original value of 6.4 to 6.2.Furthermore,when compared to current mainstream models,Mamba-YOLOT and RTDETR-R34,our method achieves superior performance with 6.5%and 8.9%higher mAP@0.5,respectively,while maintaining a more compact parameter footprint.These results collectively validate the effectiveness and efficiency of our proposed approach.
基金provided by the Science Research Project of Hebei Education Department under grant No.BJK2024115.
文摘High-resolution remote sensing images(HRSIs)are now an essential data source for gathering surface information due to advancements in remote sensing data capture technologies.However,their significant scale changes and wealth of spatial details pose challenges for semantic segmentation.While convolutional neural networks(CNNs)excel at capturing local features,they are limited in modeling long-range dependencies.Conversely,transformers utilize multihead self-attention to integrate global context effectively,but this approach often incurs a high computational cost.This paper proposes a global-local multiscale context network(GLMCNet)to extract both global and local multiscale contextual information from HRSIs.A detail-enhanced filtering module(DEFM)is proposed at the end of the encoder to refine the encoder outputs further,thereby enhancing the key details extracted by the encoder and effectively suppressing redundant information.In addition,a global-local multiscale transformer block(GLMTB)is proposed in the decoding stage to enable the modeling of rich multiscale global and local information.We also design a stair fusion mechanism to transmit deep semantic information from deep to shallow layers progressively.Finally,we propose the semantic awareness enhancement module(SAEM),which further enhances the representation of multiscale semantic features through spatial attention and covariance channel attention.Extensive ablation analyses and comparative experiments were conducted to evaluate the performance of the proposed method.Specifically,our method achieved a mean Intersection over Union(mIoU)of 86.89%on the ISPRS Potsdam dataset and 84.34%on the ISPRS Vaihingen dataset,outperforming existing models such as ABCNet and BANet.
基金supported by Italian Ministry for Health(RF-2011-02349698,RF-2018-12367731)(to CF).
文摘Multiple sclerosis(MS)is a chronic disorder of the central nervous system characterized by multifocal lesions where inflammation,demyelination,and neurodegeneration occur(Jakimovski et al.,2024).MS diagnosis primarily relies on the demonstration of dissemination in time and space of the lesions based on clinical,magnetic resonance imaging(MRI),and cerebrospinal fluid assessments(Jakimovski et al.,2024).
文摘Loss of immune tolerance to central nervous system(CNS)antigens lies at the heart of multiple sclerosis(MS),the most common chronic autoimmune disease of the CNS.MS affects nearly2 million people wo rldwide and is chara cterized by focal areas of demyelination,inflammation,axonal injury,and neurodegeneration(Bronge et al.,2022;Magliozzi et al.,2023).
基金funded by the Open Research Fund Programof State Key Laboratory of Hydroscience and Engineering(Project No.sklhse-2023-D-04)the National Natural Science Foundation of China(Project No.51979144).
文摘Characterization of mechanical alterations of shale constituent phases is critical for an in-depth understanding of the underlying mechanisms of shale softening.In this study,a hydro-thermal reaction system is set up to mimic the interactions between shale and water-based fluids under the subsurface environment in shale formations.Using a coupled analysis of grid nanoindentation and in situ mineralogical identification,mechanical alterations of shale constituent mineral phases are revealed.Mechanical degradation of carbonate and clay phases is 10 times greater than quartz,pyrite and organic phases.The KCl additive greatly mitigates mechanical degradation of the clay phase.The high temperature and pressure results in a mechanical degradation of carbonate minerals as much as three times of that occurs at room temperature and atmospheric pressure.Multiscale mechanical models,which are established based on Mori-Tanaka(MT)and self-consistent(SC)schemes,predict more accurate elastic softening of shale composite than the microindentation experiments,due to the microcracks generated in the experiments.Based on the calculation of the multiscale mechanical model,under the subsurface environment of shale formations(e.g.80℃ and 8 MPa),the carbonate dissolution leads to a reduction in Young's modulus of shale composite by about 30%,while the degradation of clay minerals only causes a reduction by up to 9%.
基金supported by the grants from National Natural Science Foundation of China(Nos.22278091,22278046)Young Elite Sci-entists Sponsorship Program by CAST(No.2024QNRC0387)+2 种基金the Guangxi Natural Science Foundation of China(Nos.2025GXNSFBA069146,2023GXNSFGA026001,GKAD25069076)the Foundation(No.202403)of Tianjin Key Laboratory of Pulp&Paper(Tianjin University of Science&Technology)P.R.China,and the Foundation of Guangxi Key Laboratory of Clean Pulp&Papermaking and Pollution Control,College of Light Industry and Food Engineering,Guangxi University(No.2021KF01).
文摘With the continuous advancement of social technology and the increasing awareness of health management,biomass-based triboelectric nanogenerator(TENG)displayed significant potential as flexible wearable electronics for continuous foot gait monitoring.Nevertheless,existing biomass-based TENG often faces challenges of insufficient mechanical robustness and durability in practical applications,where they are prone to surface abrasion and structural fracture under continuous compression and friction,severely limiting their long-term performances.In order to address these challenges,this work proposed a multiscale crosslinking strategy,which strengthened the noncovalent interactions within the polymer by constructing multiple reinforcement networks,successfully fabricating a dual-network C-lignin-based triboelectric material(CLTM)with excellent durability and crack resistance.Among them,the optimal CLTM(PSGCL-0.2)exhibited high mechanical strength(strain 445%,tensile strength 41.56 MPa,Young's modulus 41.25 MPa,toughness 159.67 MJ/m^(3))and excellent cyclic stability(300 cycles)with versatile functionalities,including antibacterial,antioxidant,and UV-shielding properties,water stabilization(255.51 g/m^(2)/d),efficient photothermal conversion,and full recyclability.Furthermore,biomass-based TENG device assembled from PSGCL-0.2 achieved stable triboelectric output properties(102.5 V,2.9μA,and 61.3 nC),and sustainable for 2000 cycles,fast response time(68 ms),and excellent power density(325.9 mW/m^(2)),effectively converting mechanical energy into electrical energy.Especially,PSGCL 0.2 was also integrated into the wireless self-powered smart insole,successfully enabling real-time visual monitoring of plantar pressure distribution and dynamic gait.Meanwhile,combined with the machine learning algorithm,the self-powered smart insole achieved precise recognition and classification of eight different motion states with an accuracy of 98%.This study provides the feasible strategy for developing extremely stable and durable biomass-based TENG,aimed at advancing sustainable intelligent healthcare systems.
文摘As a representative insensitive high explosive,3-nitro-1,2,4-triazol-5-one(NTO)has garnered significant attention due to its ability to substantially reduce the risk of accidental detonation in munitions.However,its inherent acidity induces severe interfacial corrosion of metal casings,thereby limiting its engineering applications.Based on the micro-corrosion mechanism of NTO on carbon steel(CS),this study designs an arginine-derived corrosion inhibitor,N2-[(phenylamino)thioxomethyl]-arginine(PTA).Electrochemical tests reveal that PTA exhibits an outstanding corrosion inhibition efficiency of 98.0%in NTO solution.Density functional theory(DFT)and molecular dynamics(MD)simulations elucidate the inhibition mechanism of PTA,demonstrating that it not only co-adsorbs with NTO^(−) onto the CS surface to form a dense and stable protective film but also disrupts the strong interactions between NTO^(−) and Fe,thereby suppressing nitro group-induced reduction,decomposition,and excessive surface oxidation.Furthermore,a PTA-loaded mesoporous silica(mSiO_(2))nanoparticles(NPs)-reinforced epoxy resin(EP)composite coating was constructed.Benefiting from the enhanced barrier properties of PTA@mSiO_(2) NPs and the synergistic effect between PTA and NTO^(−),the low-frequency impedance of the composite coating remained as high as 1.29×10^(9)Ω·cm^(2) after 30 days of immersion in NTO solution,exhibiting a two-order-of-magnitude improvement compared to the pure EP coating.This study proposes an effective corrosion control strategy to mitigate NTO-induced corrosion,providing insights into the development of advanced corrosion protection strategies for broader applications.
基金supported by the National Natural Science Foundation of China(62088101,62522307,62273045,U2341213)Beijing Nova Program(20230484481)。
文摘Formation control of multiple spacecraft has attracted extensive research attention.However,achieving reliable performance under sensor failures remains a significant challenge.This paper develops an integrated framework that jointly designs distributed observers and local controllers to ensure robust formation control in the presence of external disturbances and sensor malfunctions.Treating the spacecraft formation as a single interconnected system,each spacecraft constructs a distributed observer that estimates the overall system state by incorporating both its own measurements and the predicted control information shared among the spacecraft.Based on the observer estimates,a local control law is synthesized to maintain the desired formation.Rigorous theoretical analysis and numerical simulations demonstrate that the proposed integrated approach effectively guarantees formation stability and resilience against sensor failures and disturbances.
文摘Shallot and scallion are among the essential horticultural crops in the Mekong Delta of Vietnam,and their yields and quality are affected by the beet armyworm,Spodoptera exigua.To control this pest,farmers have used a large number of insecticides,which has led to resistance due to continuous use and environmental harm,thereby increasing interest in biological methods,including the Spodoptera exigua multiple nucleopolyhedrovirus(SeMNPV).The study aims to assess the efficacy of the liquid and powder formulation of SeMNPV against Spodoptera exigua under the actual agricultural conditions of Soc Trang(Shallot)and Vinh Long provinces(Scallion).The experimental arrangement used four treatments:SeMNPV liquid,SeMNPV powder,Radiant 60SC(a chemical insecticide),and the control.Some of the factors evaluated were larval density,level of leaf damage,yield,and natural enemies attack.The SeMNPV powder had the least damage,only 0.97 per cent(damage of plant),and a yield of 28.59 t/ha,and was almost equally good as the Radiant 60SC,which produced a damage of 2.53 per cent(damage of plant)and a yield of 29.41 t/ha.SeMNPV treatments significantly reduced larval numbers(down to fewer than 10 larvae/m2 by day 40)and enhanced natural enemies,parasitoids,and microsporidia.The untreated one had the highest damage(8.03%),while the yield was lowest at 19.61 t/ha.Therefore,SeMNPV in powder form has the potential to control S.exigua infestations and to encourage biological control,making it a favourable,environmentally friendly addition to synthetic insecticides in the cultivation of shallot and scallion.
基金supported by the National Natural Science Foundation of China(62373317)the Tianshan Talent Training Program(2022TSYCCX0013)+3 种基金the Key Project of Natural Science Foundation of Xinjiang(2021D01D10)the Basic Research Foundation for Universities of Xinjiang(XJEDU2023P023)the Xinjiang Key Laboratory of Applied Mathematics(XJDX1401)the Intelligent Control and Optimization Research Platform in Xinjiang University.
文摘This paper is dedicated to fixed-time passivity and synchronization for multi-weighted spatiotemporal directed networks.First,to achieve fixed-time passivity,a type of decentralized power-law controller is developed,in which only one parameter needs to be adjusted in the power-law terms;this greatly decreases the inconvenience of parameter adjustment.Second,several fixed-time passivity criteria with LMI forms are derived by using a Gauss divergence theorem to deal with the spatial diffusion of nodes and by applying the Hölder’s inequality to dispose rigorously the power-law term greater than one in the designed control scheme;this improves the previous theoretical analysis.Additionally,the fixed-time synchronization of spatiotemporal directed networks with multi-weights is addressed as a direct result of fixed-time strict passivity.Finally,a numerical example is presented in order to show the validity of the theoretical analysis.
基金Project supported by the National Natural Science Foundation of China(Nos.12502117,12272269,11972257)the Natural Science Foundation of Ningxia of China(No.2024AAC03018)+1 种基金the Fundamental Research Funds for the Central Universitiesthe Shanghai Gaofeng Project for University Academic Program Development。
文摘Driven by the trend of device miniaturization and high-density integration,the interaction between adjacent electrodes has become a critical factor affecting the interfacial reliability of thermoelectric(TE)structures.This study investigates the influence of adjoining electrode interactions on the interfacial response of a multi-electrode/TE substrate structure,including interfacial stresses and stress intensity factors at the electrode ends.To solve the corresponding boundary-value problem,the Fourier transforms are adopted to derive a governing integro-differential equation for the interfacial shear stress in multi-electrode systems,incorporating the TE effects as generalized forces on the right-hand side.The results show that both the interfacial tension and transverse stress in the electrodes are significantly affected by the presence of adjacent electrodes.The interaction between neighboring electrodes diminishes as their spacing increases or when an adhesive interlayer is introduced.Furthermore,the softer and thinner electrodes,the softer and thicker adhesive interlayer,and the smaller TE loads are found to be beneficial for improving the interfacial performance.These findings may contribute to the accurate measurement in surface sensors and layout design of multi-point health monitoring systems for TE structures.
基金Supported by Chongqing Medical Scientific Research Project(Joint Project of Chongqing Health Commission and Science and Technology Bureau),No.2023MSXM060.
文摘BACKGROUND The accurate prediction of lymph node metastasis(LNM)is crucial for managing locally advanced(T3/T4)colorectal cancer(CRC).However,both traditional histopathology and standard slide-level deep learning often fail to capture the sparse and diagnostically critical features of metastatic potential.AIM To develop and validate a case-level multiple-instance learning(MIL)framework mimicking a pathologist's comprehensive review and improve T3/T4 CRC LNM prediction.METHODS The whole-slide images of 130 patients with T3/T4 CRC were retrospectively collected.A case-level MIL framework utilising the CONCH v1.5 and UNI2-h deep learning models was trained on features from all haematoxylin and eosinstained primary tumour slides for each patient.These pathological features were subsequently integrated with clinical data,and model performance was evaluated using the area under the curve(AUC).RESULTS The case-level framework demonstrated superior LNM prediction over slide-level training,with the CONCH v1.5 model achieving a mean AUC(±SD)of 0.899±0.033 vs 0.814±0.083,respectively.Integrating pathology features with clinical data further enhanced performance,yielding a top model with a mean AUC of 0.904±0.047,in sharp contrast to a clinical-only model(mean AUC 0.584±0.084).Crucially,a pathologist’s review confirmed that the model-identified high-attention regions correspond to known high-risk histopathological features.CONCLUSION A case-level MIL framework provides a superior approach for predicting LNM in advanced CRC.This method shows promise for risk stratification and therapy decisions,requiring further validation.
文摘AIM:To investigate the changes of retinal vascular parameters and retinal layer thickness in patients with multiple sclerosis(MS).METHODS:This single-centered case-control study was performed on a MS group of 42 patients diagnosed with MS and a control group of 43 healthy hospital staff matched in terms of age and sex at Iran University,department of neurology and ophthalmology from March 2020 to March 2021.The ophthalmic parameters of each patient were recorded,and optical coherence tomography was used to evaluate the retinal thickness in the layers.RESULTS:This study enrolled a total of 85 participants,with a mean age of 40.44±11.52 years,including 61 females(72%).The control group consisted of 43 individuals with a mean age of 39.49±11.07 years,while the MS group comprised 42 participants with a mean age of 41.40±12.01 years.The mean disease duration in the MS group was 8.45±6.04 a.The thickness of the ganglion cell layer in the right eye was significantly lower in the MS group compared to the control group(P=0.034).In addition,except for the left nasal sector(P=0.106),the mean peripapillary neurofibrillation in all examined sectors were significantly lower in the MS group than in the control group(P<0.05).The average vessel density in both the deep and superficial capillary plexuses across all regions of both eyes was lower in the MS group than in the control group,with all comparisons for the superficial capillary plexus showing statistical significance(P<0.05 for all except the left nasal sector).CONCLUSION:The thickness of the retina of patients with MS is significantly reduced.Therefore,optical coherence tomography results can be used as a reliable tool to evaluate disease progression and prognosis in MS patients.
文摘Myelination in the central nervous system(CNS)is a highly intricate process,exclusive to vertebrates,that relies on the coordinated interaction between oligodendrocytes(OLs)and neurons.In addition to their role in forming myelin,accumulating evidence indicates that OLs provide crucial trophic support to axons,contributing to normal CNS function.Notably,OL injury and loss are observed in a variety of human conditions,including stroke,traumatic injuries of the brain and spinal cord,as well as neurodegenerative disorders such as multiple sclerosis(MS).
基金supported by the National Natural Science Foundation of China[Grant No.42361040].
文摘Under the influence of human activities,landscape fragmentation in the Wei River Basin(WRB)has become increasingly severe.Upstream development has intensified soil erosion,and industrial and agricultural pollution in the middle reaches has degraded water quality.Rapid urbanization has further caused habitat fragmentation and biodiversity loss.Collectively,these challenges threaten human well-being and hinder sustainable development,making the construction and optimization of an ecological security pattern(ESP)urgently necessary.However,existing studies often fail to systematically integrate future landscape ecological risk(LER)assessment with ESP optimization.This study evaluated regional LER using the“ecological patches-ecological resistance surface(ERS)-ecological corridor”framework,combined with land-use predictions under three development scenarios,and optimized the ESP by adjusting the ERS and extracting ecological corridors.The results indicate that the LER in the WRB follows an“inverted N”distribution,with low-risk areas concentrated in forested mountain regions and high-risk areas mainly in cultivated land subject to intensive human activity.Across future scenarios,ESPs showed fewer ecological breakpoints and improved landscape connectivity than the 2020 baseline.Scenario-based differences emerged in the spatial configuration of ERS adjustments,with the ecological protection scenario yielding the lowest LER and most favorable ESP.This study demonstrates the deep integration of multi-scenario simulation with LER assessment,providing a new framework for ESP optimization.The findings have guiding significance for ecological protection and coordinated development in the WRB and offer a novel paradigm for sustainable development in ecologically fragile basins worldwide.
