Neurodegenerative diseases,which are characterized by progressive neuronal loss and the lack of disease-modifying therapies,are becoming a major global health challenge.The existing neuromodulation techniques,such as ...Neurodegenerative diseases,which are characterized by progressive neuronal loss and the lack of disease-modifying therapies,are becoming a major global health challenge.The existing neuromodulation techniques,such as deep brain stimulation and transcranial magnetic stimulation,show limitations such as invasiveness,restricted cortical targeting,and irreversible tissue effects.In this context,low-intensity transcranial ultrasound has emerged as a promising noninvasive alternative that can penetrate deep into the brain and modulate neuroplasticity.This review comprehensively assesses the therapeutic mechanisms,efficacy,and translational potential of low-intensity transcranial ultrasound in treating neurodegenerative diseases,with emphasis on its role in promoting neuronal regeneration,modulating neuroinflammation,and enhancing functional recovery.We summarize the findings of previous studies and systematically illustrate the potential of low-intensity transcranial ultrasound in regulating cell death mechanisms,enhancing neural repair and regeneration,and alleviating symptoms associated with neurodegenerative diseases.Preclinical findings indicate that low-intensity transcranial ultrasound can enhance the release of neurotrophic factors(e.g.,brain-derived neurotrophic factor),promote autophagy to clear protein aggregates,modulate microglial activation,and temporarily open the blood-brain barrier to facilitate targeted drug delivery.Existing clinical trial data show that low-intensity transcranial ultrasound can reduce amyloid-βplaques,improve motor and cognitive deficits,and promote remyelination in various disease models.Early clinical trials suggest that low-intensity transcranial ultrasound may enhance cognitive scores in Alzheimer’s disease and alleviate motor symptoms in Parkinson’s disease,all while demonstrating a favorable safety profile.Past studies support the notion that by integrating safety,precision,and reversibility,low-intensity transcranial ultrasound can transform the treatment landscape for neurodegenerative disease.However,more advancements are necessary for future clinical application of low-intensity transcranial ultrasound,including optimizing parameters such as frequency,intensity,and duty cycle;considering individual anatomical differences;and confirming long-term efficacy.We believe establishing standardized protocols,conducting larger trials,and investigating the underlying mechanisms to clarify dose-response relationships and refine personalized application strategies are essential in this regard.Future research should focus on translating preclinical findings into clinical practice,addressing technical challenges,and exploring combination therapies with pharmacological or gene interventions.展开更多
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
In this paper,we consider a Schr¨odinger-Poisson system with sublinear nonlinearity.The growth of nonlinearity depends on potential function and a bounded function.We first obtain the existence of nontrivial solu...In this paper,we consider a Schr¨odinger-Poisson system with sublinear nonlinearity.The growth of nonlinearity depends on potential function and a bounded function.We first obtain the existence of nontrivial solution sequence with negative energy for the system via a variant Clark’s theorem.Then we get the asymptotical property of the solution sequence by L∞norm.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
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
Safer,smarter,faster...In China,people prefer high-speed trains to flights if the journey time is under five hours.High-speed train travel is set to become even more attractive with the addition of a new member to the...Safer,smarter,faster...In China,people prefer high-speed trains to flights if the journey time is under five hours.High-speed train travel is set to become even more attractive with the addition of a new member to the high-speed train family:the CR450,the world’s fastest electric multiple unit(EMU).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
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
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
As profound changes unseen in a century unfold at a faster pace,the world economy enters into a new phase of turbulence and transformation.Under the continuous impact of multiple shocks,the world economy is recovering...As profound changes unseen in a century unfold at a faster pace,the world economy enters into a new phase of turbulence and transformation.Under the continuous impact of multiple shocks,the world economy is recovering amidst twists and turns,with insufficient growth momentum and diverging development trends.Meanwhile,profound structural changes are reshaping the global economic landscape.A new round of technological revolution and industrial transformation,most notably the explosive development of disruptive technologies such as Artificial Intelligence(AI),is generating new industries,business models,and drivers of growth,while exerting far-reaching influence on the global division of labor,employment structures,and even international norms.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
Nickel-rich cathodes(NRCs)hold great promise for next-generation high-energy lithium-ion batteries(LIBs)due to high specific energy and low cost.However,the higher Ni content exacerbates the instability issues associa...Nickel-rich cathodes(NRCs)hold great promise for next-generation high-energy lithium-ion batteries(LIBs)due to high specific energy and low cost.However,the higher Ni content exacerbates the instability issues associated with structural degradation and side reactions during electrochemical cycling.Herein,we demonstrate the possibility of preparing NRCs,typically Li Ni_(0.9)Co_(0.05)Mn_(0.05)O_(2)(NCM9055),with much-improved mechanical and chemical stability based on the surface coating of the hydroxide precursors.Specifically,a conformal nanoshell containing both Al^(3+)and W^(6+)was first deposited around the precursor particles,and the following high-temperature lithiation produced the targeted NCM9055 with favorable structural features,where Al3+existed as a bulk dopant to enhance the structural stability while the high-valent W^(6+)promoted the microstructural evolution into radially-architectured elongated primary particles.Such a structural engineering benefiting from the Al^(3+)/W^(6+)co-modification endowed the prepared NCM9055 cathode(NCM9055-Al W)with much-improved cycling stability,as revealed by a high-capacity retention of 98.0%after 100 cycles(tested at 0.5 C,4.3 V)as compared to only 79.0%for the pristine cathode without Al^(3+)/W^(6+).The NCM9055-15Al W cathode also showed a high-rate capability with extraordinary structural stability against mechanical failure.Our study highlighted the enormous potential of precursor multi-element treatment as an effective tool in structural refinement of NRCs to circumvent their stability challenge for their applications in high-energy LIBs.展开更多
Head-up displays(HUDs)are emerging as key components of intelligent vehicles,requiring wide-depth,large-area,and high-efficiency dynamic imaging,which remains difficult to realize with traditional refractive optics.Co...Head-up displays(HUDs)are emerging as key components of intelligent vehicles,requiring wide-depth,large-area,and high-efficiency dynamic imaging,which remains difficult to realize with traditional refractive optics.Computer-generated holography(CGH)with diffraction optics offers a promising solution to these technical demands.However,CGH optimization based on the fast Fourier transform(FFT)faces limitations such as zero-padding redundancy,coupled sampling intervals,and incompatible near-and farfield propagation models.Here,we report a holography-based multiplane HUD using a matrix multiplication(MM)-assisted diffraction algorithm that restructures the Fresnel integral into two sequential matrix operations,thus eliminating zero-padding and enabling fully decoupled sampling between object and image planes.Compared with FFT-based angular spectrum methods,the MM approach significantly improves computational speed and memory efficiency for hologram design,which is validated by demonstrating dual-plane holography with a size ratio exceeding 100:1 and unified reconstruction across Fresnel and Fraunhofer regimes within a single computation.A prototype HUD system is demonstrated successfully to exhibit multiple-plane holographic virtual images that can be mixed with real-world objects at three independent planes.The technique might be one of the potential candidates for next-generation intelligent vehicle displays.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
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
With a perspective of interest in the modeling of dynamic processes, here we investigate various types of basic growth equations, which in their formulation quantify the change of the variables, the state, or the inde...With a perspective of interest in the modeling of dynamic processes, here we investigate various types of basic growth equations, which in their formulation quantify the change of the variables, the state, or the independent one, using balance equations in which the counts(aggregation-reduction) are of the multiplicative type. We enter the context of the “differential” equations typical of non-Newtonian calculations, such as geometric calculus, bi-geometric calculus, or the lesser-known logarithmic calculus, when we take the step to the limit. In these new possibilities of dynamic laws, we highlight the interpretive aspects. A particular case is to review the equivalents of the logistic equation of the standard calculation in the new accounting calculations, where we make graphical and semantic comparisons. Finally, the construction of a geometric type equation is exemplified, with applications inherent to the financial mathematics.展开更多
Neurodegeneration shows regional and cell-type-specific patterns in ageing and disease1,but the underlying mechanisms for cell-type-specific neuronal losses remain poorly understood.Previous studies have shown that up...Neurodegeneration shows regional and cell-type-specific patterns in ageing and disease1,but the underlying mechanisms for cell-type-specific neuronal losses remain poorly understood.Previous studies have shown that upper cortical layer thinning occurs in progressive human multiple sclerosis(MS)and that cortical layer 2 and layer 3(L2/3)excitatory neurons(L2/3ENs)that express CUT-like homeobox 2(CUX2)are selectively vulnerable to degeneration2.展开更多
The proliferation of carrier aircraft and the integration of unmanned aerial vehicles(UAVs)on aircraft carriers present new challenges to the automation of launch and recovery operations.This paper investigates a coll...The proliferation of carrier aircraft and the integration of unmanned aerial vehicles(UAVs)on aircraft carriers present new challenges to the automation of launch and recovery operations.This paper investigates a collaborative scheduling problem inherent to the operational processes of carrier aircraft,where launch and recovery tasks are conducted concurrently on the flight deck.The objective is to minimize the cumulative weighted waiting time in the air for recovering aircraft and the cumulative weighted delay time for launching aircraft.To tackle this challenge,a multiple population self-adaptive differential evolution(MPSADE)algorithm is proposed.This method features a self-adaptive parameter updating mechanism that is contingent upon population diversity,an asynchronous updating scheme,an individual migration operator,and a global crossover mechanism.Additionally,comprehensive experiments are conducted to validate the effectiveness of the proposed model and algorithm.Ultimately,a comparative analysis with existing operation modes confirms the enhanced efficiency of the collaborative operation mode.展开更多
Traditional oilfields face increasing extraction challenges, primarily due to reservoir quality degradation and production decline, which are further exacerbated by volatile international crude oil prices—illustrated...Traditional oilfields face increasing extraction challenges, primarily due to reservoir quality degradation and production decline, which are further exacerbated by volatile international crude oil prices—illustrated by Brent Crude’s trajectory from pandemic-induced negative pricing to geopolitically driven surges exceeding USD 100 per barrel. This study addresses these complexities through an integrated methodological framework applied to medium-permeability sandstone reservoirs in the Xinjiang oilfield by combining advanced numerical simulations with multivariate regression analysis. The methodology employs Latin Hypercube Sampling (LHS) to stratify geological parameter distributions and constructs heterogeneous reservoir models using Petrel software, rigorously validated through historical production data matching. Production forecasting integrates numerical simulation and Decline Curve Analysis (DCA), while investment estimation utilizes Ordinary Least Squares (OLS) regression to correlate engineering parameters with drilling and completion costs. Economic evaluation incorporates Discounted Cash Flow (DCF) modeling and breakeven analysis, establishing techno-economic boundaries via oil price sensitivity analysis ranging from USD 40 to 90 per barrel. Visualization tools, including 3D heatmaps, delineate nonlinear interactions among engineering, geological, and investment datasets under economic constraints. Key findings demonstrate that for the target reservoirs, as oil prices increase from USD 40 to USD 90 per barrel, the minimum economic thickness threshold decreases from approximately 5.7 m to about 2.5 m, with model prediction errors consistently below 25% across validation datasets. This framework provides scientifically grounded decision support for optimizing capital allocation and offers actionable insights to enhance undeveloped hydrocarbon development planning amid market uncertainty. Ultimately, it supports national energy security through technically robust and economically viable resource exploitation strategies.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
基金supported by STI2030-Major Project,No,2021ZD0204200(to LX).
文摘Neurodegenerative diseases,which are characterized by progressive neuronal loss and the lack of disease-modifying therapies,are becoming a major global health challenge.The existing neuromodulation techniques,such as deep brain stimulation and transcranial magnetic stimulation,show limitations such as invasiveness,restricted cortical targeting,and irreversible tissue effects.In this context,low-intensity transcranial ultrasound has emerged as a promising noninvasive alternative that can penetrate deep into the brain and modulate neuroplasticity.This review comprehensively assesses the therapeutic mechanisms,efficacy,and translational potential of low-intensity transcranial ultrasound in treating neurodegenerative diseases,with emphasis on its role in promoting neuronal regeneration,modulating neuroinflammation,and enhancing functional recovery.We summarize the findings of previous studies and systematically illustrate the potential of low-intensity transcranial ultrasound in regulating cell death mechanisms,enhancing neural repair and regeneration,and alleviating symptoms associated with neurodegenerative diseases.Preclinical findings indicate that low-intensity transcranial ultrasound can enhance the release of neurotrophic factors(e.g.,brain-derived neurotrophic factor),promote autophagy to clear protein aggregates,modulate microglial activation,and temporarily open the blood-brain barrier to facilitate targeted drug delivery.Existing clinical trial data show that low-intensity transcranial ultrasound can reduce amyloid-βplaques,improve motor and cognitive deficits,and promote remyelination in various disease models.Early clinical trials suggest that low-intensity transcranial ultrasound may enhance cognitive scores in Alzheimer’s disease and alleviate motor symptoms in Parkinson’s disease,all while demonstrating a favorable safety profile.Past studies support the notion that by integrating safety,precision,and reversibility,low-intensity transcranial ultrasound can transform the treatment landscape for neurodegenerative disease.However,more advancements are necessary for future clinical application of low-intensity transcranial ultrasound,including optimizing parameters such as frequency,intensity,and duty cycle;considering individual anatomical differences;and confirming long-term efficacy.We believe establishing standardized protocols,conducting larger trials,and investigating the underlying mechanisms to clarify dose-response relationships and refine personalized application strategies are essential in this regard.Future research should focus on translating preclinical findings into clinical practice,addressing technical challenges,and exploring combination therapies with pharmacological or gene interventions.
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Supported by the National Natural Science Foundation of China(12226412)Natural Science Foundation of Jiangsu Province(BK20221339)。
文摘In this paper,we consider a Schr¨odinger-Poisson system with sublinear nonlinearity.The growth of nonlinearity depends on potential function and a bounded function.We first obtain the existence of nontrivial solution sequence with negative energy for the system via a variant Clark’s theorem.Then we get the asymptotical property of the solution sequence by L∞norm.
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 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Safer,smarter,faster...In China,people prefer high-speed trains to flights if the journey time is under five hours.High-speed train travel is set to become even more attractive with the addition of a new member to the high-speed train family:the CR450,the world’s fastest electric multiple unit(EMU).
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.
文摘As profound changes unseen in a century unfold at a faster pace,the world economy enters into a new phase of turbulence and transformation.Under the continuous impact of multiple shocks,the world economy is recovering amidst twists and turns,with insufficient growth momentum and diverging development trends.Meanwhile,profound structural changes are reshaping the global economic landscape.A new round of technological revolution and industrial transformation,most notably the explosive development of disruptive technologies such as Artificial Intelligence(AI),is generating new industries,business models,and drivers of growth,while exerting far-reaching influence on the global division of labor,employment structures,and even international norms.
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.
基金supported by the National Key R&D Program of China(Grant No.2022YFB2404402)the National Natural Science Foundation of China(Grant Nos.22025507,22421001,and 22409200)+1 种基金the Strategic Priority Research Program of the Chinese Academy of SciencesGrant No.XDB 1040200。
文摘Nickel-rich cathodes(NRCs)hold great promise for next-generation high-energy lithium-ion batteries(LIBs)due to high specific energy and low cost.However,the higher Ni content exacerbates the instability issues associated with structural degradation and side reactions during electrochemical cycling.Herein,we demonstrate the possibility of preparing NRCs,typically Li Ni_(0.9)Co_(0.05)Mn_(0.05)O_(2)(NCM9055),with much-improved mechanical and chemical stability based on the surface coating of the hydroxide precursors.Specifically,a conformal nanoshell containing both Al^(3+)and W^(6+)was first deposited around the precursor particles,and the following high-temperature lithiation produced the targeted NCM9055 with favorable structural features,where Al3+existed as a bulk dopant to enhance the structural stability while the high-valent W^(6+)promoted the microstructural evolution into radially-architectured elongated primary particles.Such a structural engineering benefiting from the Al^(3+)/W^(6+)co-modification endowed the prepared NCM9055 cathode(NCM9055-Al W)with much-improved cycling stability,as revealed by a high-capacity retention of 98.0%after 100 cycles(tested at 0.5 C,4.3 V)as compared to only 79.0%for the pristine cathode without Al^(3+)/W^(6+).The NCM9055-15Al W cathode also showed a high-rate capability with extraordinary structural stability against mechanical failure.Our study highlighted the enormous potential of precursor multi-element treatment as an effective tool in structural refinement of NRCs to circumvent their stability challenge for their applications in high-energy LIBs.
基金supported by the National Key Research and Development Program of China(Grant No.2022YFB3607300)the National Natural Science Foundation of China(Grant Nos.62322512,62225506,and 12134013)+7 种基金the Fundamental Research Funds for the Central Universities(Grant Nos.WK2030000108 and WK2030000090)the CAS Project for Young Scientists in Basic Research(Grant No.YSBR-049)supported by the National Natural Science Foundation of China(Grant Nos.12174260 and 12574326)the Shanghai Rising-Star Program(Grant No.21QA1406400)the Shanghai Science and Technology Development Fund(Grant Nos.21ZR1443500 and 21ZR1443600)the support from the China Postdoctoral Science Foundation(Grant No.2023M743364)support from the Center for Micro and Nanoscale Research and Fabrication,University of Science and Technology of Chinasupported by the UPOLabs,which provided the experimental and technical support。
文摘Head-up displays(HUDs)are emerging as key components of intelligent vehicles,requiring wide-depth,large-area,and high-efficiency dynamic imaging,which remains difficult to realize with traditional refractive optics.Computer-generated holography(CGH)with diffraction optics offers a promising solution to these technical demands.However,CGH optimization based on the fast Fourier transform(FFT)faces limitations such as zero-padding redundancy,coupled sampling intervals,and incompatible near-and farfield propagation models.Here,we report a holography-based multiplane HUD using a matrix multiplication(MM)-assisted diffraction algorithm that restructures the Fresnel integral into two sequential matrix operations,thus eliminating zero-padding and enabling fully decoupled sampling between object and image planes.Compared with FFT-based angular spectrum methods,the MM approach significantly improves computational speed and memory efficiency for hologram design,which is validated by demonstrating dual-plane holography with a size ratio exceeding 100:1 and unified reconstruction across Fresnel and Fraunhofer regimes within a single computation.A prototype HUD system is demonstrated successfully to exhibit multiple-plane holographic virtual images that can be mixed with real-world objects at three independent planes.The technique might be one of the potential candidates for next-generation intelligent vehicle displays.
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.
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).
文摘With a perspective of interest in the modeling of dynamic processes, here we investigate various types of basic growth equations, which in their formulation quantify the change of the variables, the state, or the independent one, using balance equations in which the counts(aggregation-reduction) are of the multiplicative type. We enter the context of the “differential” equations typical of non-Newtonian calculations, such as geometric calculus, bi-geometric calculus, or the lesser-known logarithmic calculus, when we take the step to the limit. In these new possibilities of dynamic laws, we highlight the interpretive aspects. A particular case is to review the equivalents of the logistic equation of the standard calculation in the new accounting calculations, where we make graphical and semantic comparisons. Finally, the construction of a geometric type equation is exemplified, with applications inherent to the financial mathematics.
文摘Neurodegeneration shows regional and cell-type-specific patterns in ageing and disease1,but the underlying mechanisms for cell-type-specific neuronal losses remain poorly understood.Previous studies have shown that upper cortical layer thinning occurs in progressive human multiple sclerosis(MS)and that cortical layer 2 and layer 3(L2/3)excitatory neurons(L2/3ENs)that express CUT-like homeobox 2(CUX2)are selectively vulnerable to degeneration2.
文摘The proliferation of carrier aircraft and the integration of unmanned aerial vehicles(UAVs)on aircraft carriers present new challenges to the automation of launch and recovery operations.This paper investigates a collaborative scheduling problem inherent to the operational processes of carrier aircraft,where launch and recovery tasks are conducted concurrently on the flight deck.The objective is to minimize the cumulative weighted waiting time in the air for recovering aircraft and the cumulative weighted delay time for launching aircraft.To tackle this challenge,a multiple population self-adaptive differential evolution(MPSADE)algorithm is proposed.This method features a self-adaptive parameter updating mechanism that is contingent upon population diversity,an asynchronous updating scheme,an individual migration operator,and a global crossover mechanism.Additionally,comprehensive experiments are conducted to validate the effectiveness of the proposed model and algorithm.Ultimately,a comparative analysis with existing operation modes confirms the enhanced efficiency of the collaborative operation mode.
文摘Traditional oilfields face increasing extraction challenges, primarily due to reservoir quality degradation and production decline, which are further exacerbated by volatile international crude oil prices—illustrated by Brent Crude’s trajectory from pandemic-induced negative pricing to geopolitically driven surges exceeding USD 100 per barrel. This study addresses these complexities through an integrated methodological framework applied to medium-permeability sandstone reservoirs in the Xinjiang oilfield by combining advanced numerical simulations with multivariate regression analysis. The methodology employs Latin Hypercube Sampling (LHS) to stratify geological parameter distributions and constructs heterogeneous reservoir models using Petrel software, rigorously validated through historical production data matching. Production forecasting integrates numerical simulation and Decline Curve Analysis (DCA), while investment estimation utilizes Ordinary Least Squares (OLS) regression to correlate engineering parameters with drilling and completion costs. Economic evaluation incorporates Discounted Cash Flow (DCF) modeling and breakeven analysis, establishing techno-economic boundaries via oil price sensitivity analysis ranging from USD 40 to 90 per barrel. Visualization tools, including 3D heatmaps, delineate nonlinear interactions among engineering, geological, and investment datasets under economic constraints. Key findings demonstrate that for the target reservoirs, as oil prices increase from USD 40 to USD 90 per barrel, the minimum economic thickness threshold decreases from approximately 5.7 m to about 2.5 m, with model prediction errors consistently below 25% across validation datasets. This framework provides scientifically grounded decision support for optimizing capital allocation and offers actionable insights to enhance undeveloped hydrocarbon development planning amid market uncertainty. Ultimately, it supports national energy security through technically robust and economically viable resource exploitation strategies.
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.
