To curb the worsening tropospheric ozone(O_(3))pollution problem in China,a rapid and accurate identification of O_(3)-precursor sensitivity(OPS)is a crucial prerequisite for formulating effective contingency O_(3) po...To curb the worsening tropospheric ozone(O_(3))pollution problem in China,a rapid and accurate identification of O_(3)-precursor sensitivity(OPS)is a crucial prerequisite for formulating effective contingency O_(3) pollution control strategies.However,currently widely-used methods,such as statistical models and numerical models,exhibit inherent limitations in identifying OPS in a timely and accurate manner.In this study,we developed a novel approach to identify OPS based on eXtreme Gradient Boosting model,Shapley additive explanation(SHAP)al-gorithm,and volatile organic compound(VOC)photochemical decay adjustment,using the meteorology and speciated pollutant monitoring data as the input.By comparing the difference in SHAP values between base sce-nario and precursor reduction scenario for nitrogen oxides(NO_(x))and VOCs,OPS was divided into NO_(x)-limited,VOCs-limited and transition regime.Using the long-lasting O_(3) pollution episode in the autumn of 2022 at the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)as an example,we demonstrated large spatiotemporal heterogeneities of OPS over the GBA,which were generally shifted from NO_(x)-limited to VOCs-limited from September to October and more inclined to be VOCs-limited at the central and NO_(x)-limited in the peripheral areas.This study developed an innovative OPS identification method by comparing the difference in SHAP value before and after precursor emission reduction.Our method enables the accurate identification of OPS in the time scale of seconds,thereby providing a state-of-the-art tool for the rapid guidance of spatial-specific O_(3) control strategies.展开更多
Large language models(LLMs)have undergone significant expansion and have been increasingly integrated across various domains.Notably,in the realm of robot task planning,LLMs harness their advanced reasoning and langua...Large language models(LLMs)have undergone significant expansion and have been increasingly integrated across various domains.Notably,in the realm of robot task planning,LLMs harness their advanced reasoning and language comprehension capabilities to formulate precise and efficient action plans based on natural language instructions.However,for embodied tasks,where robots interact with complex environments,textonly LLMs often face challenges due to a lack of compatibility with robotic visual perception.This study provides a comprehensive overview of the emerging integration of LLMs and multimodal LLMs into various robotic tasks.Additionally,we propose a framework that utilizes multimodal GPT-4V to enhance embodied task planning through the combination of natural language instructions and robot visual perceptions.Our results,based on diverse datasets,indicate that GPT-4V effectively enhances robot performance in embodied tasks.This extensive survey and evaluation of LLMs and multimodal LLMs across a variety of robotic tasks enriches the understanding of LLM-centric embodied intelligence and provides forward-looking insights towards bridging the gap in Human-Robot-Environment interaction.展开更多
Lithium-based batteries(LiBs)are integral components in operating electric vehicles to renewable energy systems and portable electronic devices,thanks to their unparalleled energy density,minimal self-discharge rates,...Lithium-based batteries(LiBs)are integral components in operating electric vehicles to renewable energy systems and portable electronic devices,thanks to their unparalleled energy density,minimal self-discharge rates,and favorable cycle life.However,the inherent safety risks and performance degradation of LiB over time impose continuous monitoring facilitated by sophisticated battery management systems(BMS).This review comprehensively analyzes the current state of sensor technologies for smart LiBs,focusing on their advancements,opportunities,and potential challenges.Sensors are classified into two primary groups based on their application:safety monitoring and performance optimization.Safety monitoring sensors,including temperature,pressure,strain,gas,acoustic,and magnetic sensors,focus on detecting conditions that could lead to hazardous situations.Performance optimization sensors,such as optical-based and electrochemical-based,monitor factors such as state of charge and state of health,emphasizing operational efficiency and lifespan.The review also highlights the importance of integrating these sensors with advanced algorithms and control approaches to optimize charging and discharge cycles.Potential advancements driven by nanotechnology,wireless sensor networks,miniaturization,and machine learning algorithms are also discussed.However,challenges related to sensor miniaturization,power consumption,cost efficiency,and compatibility with existing BMS need to be addressed to fully realize the potential of LiB sensor technologies.This comprehensive review provides valuable insights into the current landscape and future directions of sensor innovations in smart LiBs,guiding further research and development efforts to enhance battery performance,reliability,and safety.Integration of advanced sensor technologies for smart LiBs:integrating non-optical multi-parameter,optical-based,and electrochemical sensors within the BMS to achieve higher safety,improved efficiency,early warning mechanisms,and TR prevention.Potential advancements are driven by nanotechnology,wireless sensor networks,miniaturization,and advanced algorithms,addressing key challenges to enhance battery performance and reliability.展开更多
In the field of intelligent education,the integration of artificial intelligence,especially deep learning technologies,has garnered significant attention.Knowledge tracing(KT)plays a pivotal role in this field by pred...In the field of intelligent education,the integration of artificial intelligence,especially deep learning technologies,has garnered significant attention.Knowledge tracing(KT)plays a pivotal role in this field by predicting students’future performance through the analysis of historical interaction data,thereby assisting educators in evaluating knowledgemastery and tailoring instructional strategies.Traditional knowledge tracingmethods,largely based on Recurrent Neural Networks(RNNs)and Transformer models,primarily focus on capturing long-term interaction patterns in sequential data.However,these models may neglect crucial short-term dynamics and other relevant features.This paper introduces a novel approach to knowledge tracing by leveraging a pure Multilayer Perceptron(MLP)architecture.We proposeMixerKT,a knowledge tracing model based on theHyperMixer framework,which uniquely integrates global and localMixer feature extractors.This architecture enables more effective extraction of both long-terminteraction trends and recent learning behaviors,addressing limitations in currentmodels thatmay overlook these key aspects.Empirical evaluations on twowidely-used datasets,ASSIS Tments2009 and Algebra2005,demonstrate that MixerKT consistently outperforms several state-of-the-art models,including DKT,SAKT,and Separated Self-Attentive Neural Knowledge Tracing(SAINT).Specifically,MixerKT achieves higher prediction accuracy,highlighting its effectiveness in capturing the nuances of learners’knowledge states.These results indicate that our model provides a more comprehensive representation of student learning patterns,enhancing the ability to predict future performance with greater precision.展开更多
Objective Overactive bladder,a storage syndrome characterized by urinary urgency,frequency,and nocturia with or without urgency urinary incontinence,severely affects the quality of life of patients.The aim of this stu...Objective Overactive bladder,a storage syndrome characterized by urinary urgency,frequency,and nocturia with or without urgency urinary incontinence,severely affects the quality of life of patients.The aim of this study was to investigate the role and mechanism of the C/EBP homologous protein in the overactive bladder.Methods An overactive bladder mouse model was established via the intraperitoneal injection of cyclophosphamide in wild-type and Chop-deficient mice.An in vitro model was established using interleukin(IL)-6-induced mouse bladder epithelial cells.Hematoxylin–eosin(HE)staining was used to assess bladder tissue damage,and ELISA was used to measure inflammatory cytokine levels.Western blot analysis was used to examine p-PERK,ATF-6,p-eIF2α,BiP,ATF-4,Bax,Bcl-2,and cleaved caspase-3 protein expression levels.TUNEL staining and flow cytometry were conducted to measure the degree of apoptosis in bladder epithelial cells and macrophages.Results C/EBP homologous protein levels were decreased in overactive bladder tissues;nevertheless,macrophage infiltration was found to be increased.Knockout of Chop exacerbated bladder dysfunction,tissue injury,macrophage infiltration,and bladder epithelial apoptosis and alleviated endoplasmic reticulum stress.Conclusions Chop deficiency exacerbates inflammation,injury,and bladder epithelial apoptosis in overactive bladder model mice by inhibiting endoplasmic reticulum stress.展开更多
We conducted an analysis of the continuum during the onset and initial decline phases of the 2023 outburst in transient neutron star low-mass X-ray binary Aql X–1 using broadband observations from the Hard X-ray Modu...We conducted an analysis of the continuum during the onset and initial decline phases of the 2023 outburst in transient neutron star low-mass X-ray binary Aql X–1 using broadband observations from the Hard X-ray Modulation Telescope(Insight-HXMT)instrument.To determine the most appropriate model for the continuum of this outburst,we employed three models to explore the evolution of the spectral component.These observations revealed that the source transitions from the hard state to the soft state.The disk-corona and sphere-corona models both adequately described the spectra of the hard state,while the double blackbody model became preferable after the hard X-ray emission(>25 keV)disappeared during the state transition.In the soft state,the total emission is dominated by the accretion disk and two blackbody components.The combination of the sphere-corona model and the double blackbody model is the most suitable model for this outburst.The results suggest that as the source transitioned into the soft state,the emission from the boundary layer was enhanced,and a hot spot occurred.Notably,we identified two type-ⅠX-ray bursts,one of which exhibited a significant hard X-ray deficit(significance~4.82σ),which indicates that Insight-HXMT has the capability to capture the evolution of the corona in a single burst.展开更多
Osteopontin(OPN),a key extracellular matrix protein,promotes gastrointestinal tumor progression by activating the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(AKT)pathway.OPN enhances tumor proliferation and s...Osteopontin(OPN),a key extracellular matrix protein,promotes gastrointestinal tumor progression by activating the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(AKT)pathway.OPN enhances tumor proliferation and survival through mechanistic target of rapamycin and B-cell lymphoma 2 upregulation(e.g.,via denticleless E3 ubiquitin protein ligase homolog in hepatocellular carcinoma)and drives metastasis via PI3K/AKT-mediated epithelial-mesenchymal transition and androgen receptor(AR)activation(e.g.,via the OPN-RAN-AR axis in pancreatic cancer).Additionally,OPN induces chemoresistance by activating anti-apoptotic proteins(e.g.,XIAP via CXCR3/PI3K/AKT in colorectal cancer)and remodels the tumor microenvironment through VEGF-dependent angiogenesis and cluster of differentiation 44-PI3K/AKT-mediated immune evasion.Its interaction with TLR4,WNT,and other pathways amplifies oncogenic effects.Therapies targeting the OPN-PI3K/AKT axis(e.g.,PI3K inhibitors like LY294002)or combination treatments(e.g.,with EGFR-TKIs)show promise for reversing drug resistance.Future research should focus on OPN isoform specificity,clinical translation,and interactions with autophagy and long non-coding RNAs to refine precision therapies.This review summarizes recent advances in understanding the molecular mechanisms,therapeutic targets,and clinical challenges of the OPN-PI3K/AKT axis in gastrointestinal tumors,providing a foundation for overcoming resistance and developing precision therapies.展开更多
Garnet Li_(7)La_(3)Zr_(2)O_(12)(LLZO)electrolytes have been recognized as a promising candidate to replace liquid/molten-state electrolytes in battery applications due to their exceptional performance,particularly Ga-...Garnet Li_(7)La_(3)Zr_(2)O_(12)(LLZO)electrolytes have been recognized as a promising candidate to replace liquid/molten-state electrolytes in battery applications due to their exceptional performance,particularly Ga-doped LLZO(LLZGO),which exhibits high ionic conductivity.However,the limited size of the Liþtransport bottleneck restricts its high-current discharging performance.The present study focuses on the synthesis of Ga^(3+)þand Ba^(2+)þco-doped LLZO(LLZGBO)and investigates the influence of doping contents on the morphology,crystal structure,Liþtransport bottleneck size,and ionic conductivity.In particular,Ga_(0.32)Ba_(0.15)exhibits the highest ionic conductivity(6.11E-2 S cm^(-1) at 550 C)in comparison with other compositions,which can be attributed to its higher-energy morphology,larger bottleneck and unique Liþtransport channel.In addition to Ba^(2+),Sr^(2+)þand Ca^(2+)have been co-doped with Ga3þinto LLZO,respectively,to study the effect of doping ion radius on crystal structures and the properties of electrolytes.The characterization results demonstrate that the easier Liþtransport and higher ionic conductivity can be obtained when the electrolyte is doped with larger-radius ions.As a result,the assembled thermal battery with Ga_(0.32)Ba_(0.15)-LLZO electrolyte exhibits a remarkable voltage platform of 1.81 V and a high specific capacity of 455.65 mA h g^(-1) at an elevated temperature of 525℃.The discharge specific capacity of the thermal cell at 500 mA amounts to 63%of that at 100 mA,showcasing exceptional high-current discharging performance.When assembled as prototypes with fourteen single cells connected in series,the thermal batteries deliver an activation time of 38 ms and a discharge time of 32 s with the current density of 100 mA cm^(-2).These findings suggest that Ga,Ba co-doped LLZO solid-state electrolytes with high ionic conductivities holds great potential for high-capacity,quick-initiating and high-current discharging thermal batteries.展开更多
Tropospheric ozone pollution has been worsened over most regions of China,adversely affecting human health and ecosystems.The long-term ozone concentration depends largely upon atmospheric circulations.Here,we conduct...Tropospheric ozone pollution has been worsened over most regions of China,adversely affecting human health and ecosystems.The long-term ozone concentration depends largely upon atmospheric circulations.Here,we conducted meteorological adjustment to quantitatively assess the influences of meteorological factors on the ozone evolution in China's seven city clusters during thewarm season(April to October)from 2013 to 2020.Our analysis indicated that northern and eastern regions experienced ozone increases driven by emission changes.Southern regions,particularly the Pearl River Delta(PRD),exhibited ozone rise primarily due to meteorological conditions despite emission changes.In the Sichuan Basin(SCB)and Central Yangtze River Plain(CYP),where ozone levels decreased,meteorological conditions played a significant role in suppressing the ascent of ozone.Empirical orthogonal functions(EOF)analyses suggested that the spatiotemporal trend ofmeteorologyassociated ozone was strongly correlated with the variation of East Asian Trough(EAT),South Asian High(SAH)and the western Pacific subtropical high(WPSH).The top three EOF patterns explained 33.4%,21.8%,and 16.0%of the total variance inmeteorology-associated ozone.Absolute principal component scores-multiple linear regression(APCS-MLR)analyse quantitatively identified that enhanced EAT and SAH with a northward location of WPSH were favourable to surface ozone formation in central and eastern regions,but unfavourable to ozone formation in edge regions such as SCB.展开更多
Attention is the cornerstone of effective functioning in a complex and information-rich world.While the neural activity of attention has been extensively studied in the cortex,the brain-wide neural activity patterns a...Attention is the cornerstone of effective functioning in a complex and information-rich world.While the neural activity of attention has been extensively studied in the cortex,the brain-wide neural activity patterns are largely unknown.In this study,we conducted a comprehensive analysis of neural activity across the mouse brain during attentional processing using EEG and c-Fos staining,utilizing hierarchical clustering and c-Fos-based functional network analysis to evaluate the c-Fos activation patterns.Our findings reveal that a wide range of brain regions are activated,notably in the high-order cortex,thalamus,and brain stem regions involved in advanced cognition and arousal regulation,with the central lateral nucleus of the thalamus as a strong hub,suggesting the crucial role of the thalamus in attention control.These results provide valuable insights into the neural network mechanisms underlying attention,offering a foundation for formulating functional hypotheses and conducting circuit-level testing.展开更多
AIM:To propose a novel classification system for late postoperative capsular block syndrome(CBS)based on the turbidity of intracapsular fluid,and to investigate the imaging and refractive changes before and after Nd:Y...AIM:To propose a novel classification system for late postoperative capsular block syndrome(CBS)based on the turbidity of intracapsular fluid,and to investigate the imaging and refractive changes before and after Nd:YAG laser posterior capsulotomy for each subtype.METHODS:A retrospective analysis was performed on 5 eyes from 5 patients with late postoperative CBS.Patients were categorized into turbid(3 eyes)or clear(2 eyes)types based on the turbidity of intracapsular fluid.Uncorrected visual acuity(UCVA),best-corrected visual acuity(BCVA),refractive status,slit-lamp images,Pentacam Scheimpflug data,and ultrasound biomicroscopy(UBM)images were evaluated before and 1mo after successful Nd:YAG laser posterior capsulotomy.RESULTS:Nd:YAG laser posterior capsulotomy significantly improved UCVA and BCVA in all 5 late CBS eyes.Pentacam imaging:turbid intracapsular fluid showed hyperreflection between posterior capsule and intraocular lens(IOL);clear fluid showed hyporeflection.UBM:posterior capsule was clear in turbid type but poorly defined in clear type.Capsulotomy increased aqueous depth only in clear type.Refractive changes:turbid fluid induced myopic shift.Clear type myopic shift was due to anterior IOL displacement and clear fluid-induced concave lens effect.CONCLUSION:Nd:YAG laser posterior capsulotomy is effective for late CBS.Turbid and clear late CBS types differ in imaging(Pentacam/UBM)and refractive mechanisms,supporting the proposed classification’s clinical value.展开更多
Thermal batteries are a type of thermally activated reserve battery,where the cathode material significantly influences the operating voltage and specific capacity.In this work,Cu_(2)O–CuO nanowires are prepared by i...Thermal batteries are a type of thermally activated reserve battery,where the cathode material significantly influences the operating voltage and specific capacity.In this work,Cu_(2)O–CuO nanowires are prepared by in-situ thermal oxidation method onto Cu foam,which are further coated with a carbon layer derived from polydopamine(PDA).The morphology of the nanowires has been examined using scanning electron microscopy(SEM)and transmission electron microscopy(TEM).The material shows a kind of core–shell structure,with CuO as the shell and Cu_(2)O as the core.To further explore the interaction between the material and lithium-ion(Li^(+)),the Lit adsorption energies of CuO and Cu_(2)O were calculated,revealing a stronger affinity of Li^(+) for CuO.The unique core–shell nanowire structure of Cu_(2)O–CuO can provide a good Li^(+)adsorption with the outer layer CuO and excellent structural stability with the inner layer Cu_(2)O.When applied in thermal batteries,Cu_(2)O–CuO–C nanowires exhibit specific capacity and specific energy of 326 mAh g^(-1)and 697 Wh kg^(-1)at a cut-off voltage of 1.5 V both of which are higher than those of Cu_(2)O–CuO(238 mAh g^(-1)and 445 Wh kg^(-1)).The discharge process includes the insertion of lithium ions and subsequent reduction reactions,ultimately resulting in the formation of lithium oxide and copper.展开更多
Spermatogenesis is a fundamental process that requires a tightly controlled epigenetic event in spermatogonial stem cells(SSCs).The mechanisms underlying the transition from SSCs to sperm are largely unknown.Most stud...Spermatogenesis is a fundamental process that requires a tightly controlled epigenetic event in spermatogonial stem cells(SSCs).The mechanisms underlying the transition from SSCs to sperm are largely unknown.Most studies utilize gene knockout mice to explain the mechanisms.However,the production of genetically engineered mice is costly and time-consuming.In this study,we presented a convenient research strategy using an RNA interference(RNAi)and testicular transplantation approach.Histone H3 lysine 9(H3K9)methylation was dynamically regulated during spermatogenesis.As Jumonji domain-containing protein 1A(JMJD1A)and Jumonji domain-containing protein 2C(JMJD2C)demethylases catalyze histone H3 lysine 9 dimethylation(H3K9me2),we firstly analyzed the expression profile of the two demethylases and then investigated their function.Using the convenient research strategy,we showed that normal spermatogenesis is disrupted due to the downregulated expression of both demethylases.These results suggest that this strategy might be a simple and alternative approach for analyzing spermatogenesis relative to the gene knockout mice strategy.展开更多
Self-propelled robots have attracted significant attention due to their remarkable ability to navigate confined terrains.These robots usually have deformable structures while having discontinuous contact forces with t...Self-propelled robots have attracted significant attention due to their remarkable ability to navigate confined terrains.These robots usually have deformable structures while having discontinuous contact forces with the ground,resulting in a complex nonlinear system.To provide a solid foundation for the locomotion prediction and optimization for the self-propelled robots,it is necessary to conduct dynamic modelling and locomotion analysis of the robot.Motivated by these issues,this paper proposes a vibration-driven surrogate dynamic model for a deformable self-propelled robot and presents a detailed dynamic analysis.The surrogate dynamic model is employed to classify various types of stick-slip locomotion.Subsequently,the corresponding experiment demonstrates that the surrogate dynamic model effectively predicts the locomotion of the robot,particularly three types of stick-slip locomotion induced by discontinuous friction.Finally,a multi-objective coordinated optimization regarding the locomotion velocity,the cost of transport,and the energy conversion rate of the self-propelled robot is conducted,aiming to comprehensively enhance the robot’s locomotion performance.Additionally,suggestions for the selection of actuation parameters are presented.展开更多
Electroencephalography(EEG)is a widely used neuroimaging technique for decoding brain states.Transformer is gaining attention in EEG signal decoding due to its powerful ability to capture global features.However,relyi...Electroencephalography(EEG)is a widely used neuroimaging technique for decoding brain states.Transformer is gaining attention in EEG signal decoding due to its powerful ability to capture global features.However,relying solely on a single feature extracted by the traditional transformer model to address the domain shift problem caused by the time variability and complexity of EEG signals is challenging.In this paper,we propose a novel Transferable Fusion Multi-band EEG Transformer(TF-MEET)to enhance the performance of cross-session decoding of EEG signals.TF-MEET is mainly divided into three parts:(1)transform the EEG signals into spatial images and band images;(2)design an encoder to obtain spatial features and band features for the two types of images,and comprehensive fusion features are obtained through the weight adaptive fusion module;(3)cross-session EEG signals decoding is achieved by aligning the joint distribution of different domain features and categories through multi-loss domain adversarial training.Experimental results demonstrate(1)TF-MEET outperforms other advanced transfer learning methods on two public EEG emotion recognition datasets,SEED and SEED_IV,achieving an accuracy of 91.68%on SEED and 76.21%on SEED_IV;(2)TF-MEET proves the effectiveness of the transferable fusion module;(3)TF-MEET can identify explainable activation areas in the brain.We demonstrate that TF-MEET can capture comprehensive,transferable and interpretable features in EEG signals and perform well in cross-session EEG signals decoding,which can promote the development of brain-computer interface system.展开更多
Efficient,safe,and reliable energy output from high-energy-density lithium metal batteries(LMBs)at all climates is crucial for portable electronic devices operating in complex environments.The performance of correspon...Efficient,safe,and reliable energy output from high-energy-density lithium metal batteries(LMBs)at all climates is crucial for portable electronic devices operating in complex environments.The performance of corresponding cathodes and lithium(Li)metal anodes,however,faces significant challenges under such demanding conditions.Herein,a nonflammable electrolyte for high-voltage Li‖LCO cells has been designed,including partially-fluorinated ethyl 4,4,4-trifluorobutyrate(ETFB)as the key solvent,guided by theoretical calculations.With this ETFB-based electrolyte,Li‖LCO cells exhibit enhanced reversible capacities and superior capacity retention at an elevated charge voltage of 4.5 V and a wide operating temperature range spanning from-60℃to 70℃.The cells achieve 67.1%discharge capacity at-60℃,relative to room temperature capacity,and 85.9%100th-cycle retention at 70℃.The outstanding properties are attributed to the LiF-rich interphases formed in the ETFB-based electrolyte with a finetuned solvation structure,in which the coordination environment in the vicinity of Li^(+)cations and the distance between anion and solvents are subtly adjusted by introducing ETFB.This solvation structure has been mutually elucidated through joint spectra characterizations and atomistic simulations.This work presents a new strategy for the design of electrolytes to achieve all-climate reliable and safe application of LMBs.展开更多
基金supported by the Key-Area Research and Development Program of Guangdong Province(No.2020B1111360003)the National Natural Science Foundation of China(Nos.42465008 and 42105164)+2 种基金Yunnan Science and Technology Department Project(No.202501AT070239)Yunnan Science and Technology Department Youth Project(No.202401AU070202)Xianyang Rapid Response Decision Support Project for Ozone(No.YZ2024-ZB019).
文摘To curb the worsening tropospheric ozone(O_(3))pollution problem in China,a rapid and accurate identification of O_(3)-precursor sensitivity(OPS)is a crucial prerequisite for formulating effective contingency O_(3) pollution control strategies.However,currently widely-used methods,such as statistical models and numerical models,exhibit inherent limitations in identifying OPS in a timely and accurate manner.In this study,we developed a novel approach to identify OPS based on eXtreme Gradient Boosting model,Shapley additive explanation(SHAP)al-gorithm,and volatile organic compound(VOC)photochemical decay adjustment,using the meteorology and speciated pollutant monitoring data as the input.By comparing the difference in SHAP values between base sce-nario and precursor reduction scenario for nitrogen oxides(NO_(x))and VOCs,OPS was divided into NO_(x)-limited,VOCs-limited and transition regime.Using the long-lasting O_(3) pollution episode in the autumn of 2022 at the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)as an example,we demonstrated large spatiotemporal heterogeneities of OPS over the GBA,which were generally shifted from NO_(x)-limited to VOCs-limited from September to October and more inclined to be VOCs-limited at the central and NO_(x)-limited in the peripheral areas.This study developed an innovative OPS identification method by comparing the difference in SHAP value before and after precursor emission reduction.Our method enables the accurate identification of OPS in the time scale of seconds,thereby providing a state-of-the-art tool for the rapid guidance of spatial-specific O_(3) control strategies.
基金supported by National Natural Science Foundation of China(62376219 and 62006194)Foundational Research Project in Specialized Discipline(Grant No.G2024WD0146)Faculty Construction Project(Grant No.24GH0201148).
文摘Large language models(LLMs)have undergone significant expansion and have been increasingly integrated across various domains.Notably,in the realm of robot task planning,LLMs harness their advanced reasoning and language comprehension capabilities to formulate precise and efficient action plans based on natural language instructions.However,for embodied tasks,where robots interact with complex environments,textonly LLMs often face challenges due to a lack of compatibility with robotic visual perception.This study provides a comprehensive overview of the emerging integration of LLMs and multimodal LLMs into various robotic tasks.Additionally,we propose a framework that utilizes multimodal GPT-4V to enhance embodied task planning through the combination of natural language instructions and robot visual perceptions.Our results,based on diverse datasets,indicate that GPT-4V effectively enhances robot performance in embodied tasks.This extensive survey and evaluation of LLMs and multimodal LLMs across a variety of robotic tasks enriches the understanding of LLM-centric embodied intelligence and provides forward-looking insights towards bridging the gap in Human-Robot-Environment interaction.
基金supported by the National Natural Science Foundation of China(NSFC,52130601)the Joint Research Center for Multi-energy Complementation and Conversion of USTC.
文摘Lithium-based batteries(LiBs)are integral components in operating electric vehicles to renewable energy systems and portable electronic devices,thanks to their unparalleled energy density,minimal self-discharge rates,and favorable cycle life.However,the inherent safety risks and performance degradation of LiB over time impose continuous monitoring facilitated by sophisticated battery management systems(BMS).This review comprehensively analyzes the current state of sensor technologies for smart LiBs,focusing on their advancements,opportunities,and potential challenges.Sensors are classified into two primary groups based on their application:safety monitoring and performance optimization.Safety monitoring sensors,including temperature,pressure,strain,gas,acoustic,and magnetic sensors,focus on detecting conditions that could lead to hazardous situations.Performance optimization sensors,such as optical-based and electrochemical-based,monitor factors such as state of charge and state of health,emphasizing operational efficiency and lifespan.The review also highlights the importance of integrating these sensors with advanced algorithms and control approaches to optimize charging and discharge cycles.Potential advancements driven by nanotechnology,wireless sensor networks,miniaturization,and machine learning algorithms are also discussed.However,challenges related to sensor miniaturization,power consumption,cost efficiency,and compatibility with existing BMS need to be addressed to fully realize the potential of LiB sensor technologies.This comprehensive review provides valuable insights into the current landscape and future directions of sensor innovations in smart LiBs,guiding further research and development efforts to enhance battery performance,reliability,and safety.Integration of advanced sensor technologies for smart LiBs:integrating non-optical multi-parameter,optical-based,and electrochemical sensors within the BMS to achieve higher safety,improved efficiency,early warning mechanisms,and TR prevention.Potential advancements are driven by nanotechnology,wireless sensor networks,miniaturization,and advanced algorithms,addressing key challenges to enhance battery performance and reliability.
基金supported by National Natural Science Foundation of China(Nos.62266054 and 62166050)Key Program of Fundamental Research Project of Yunnan Science and Technology Plan(No.202201AS070021)+2 种基金Yunnan Fundamental Research Projects(No.202401AT070122)Yunnan International Joint Research and Development Center of China-Laos-Thailand Educational Digitalization(No.202203AP140006)Scientific Research Foundation of Yunnan Provincial Department of Education(No.2024Y159).
文摘In the field of intelligent education,the integration of artificial intelligence,especially deep learning technologies,has garnered significant attention.Knowledge tracing(KT)plays a pivotal role in this field by predicting students’future performance through the analysis of historical interaction data,thereby assisting educators in evaluating knowledgemastery and tailoring instructional strategies.Traditional knowledge tracingmethods,largely based on Recurrent Neural Networks(RNNs)and Transformer models,primarily focus on capturing long-term interaction patterns in sequential data.However,these models may neglect crucial short-term dynamics and other relevant features.This paper introduces a novel approach to knowledge tracing by leveraging a pure Multilayer Perceptron(MLP)architecture.We proposeMixerKT,a knowledge tracing model based on theHyperMixer framework,which uniquely integrates global and localMixer feature extractors.This architecture enables more effective extraction of both long-terminteraction trends and recent learning behaviors,addressing limitations in currentmodels thatmay overlook these key aspects.Empirical evaluations on twowidely-used datasets,ASSIS Tments2009 and Algebra2005,demonstrate that MixerKT consistently outperforms several state-of-the-art models,including DKT,SAKT,and Separated Self-Attentive Neural Knowledge Tracing(SAINT).Specifically,MixerKT achieves higher prediction accuracy,highlighting its effectiveness in capturing the nuances of learners’knowledge states.These results indicate that our model provides a more comprehensive representation of student learning patterns,enhancing the ability to predict future performance with greater precision.
基金supported by the National Natural Science Foundation of China(No.81974400 and No.82173068).
文摘Objective Overactive bladder,a storage syndrome characterized by urinary urgency,frequency,and nocturia with or without urgency urinary incontinence,severely affects the quality of life of patients.The aim of this study was to investigate the role and mechanism of the C/EBP homologous protein in the overactive bladder.Methods An overactive bladder mouse model was established via the intraperitoneal injection of cyclophosphamide in wild-type and Chop-deficient mice.An in vitro model was established using interleukin(IL)-6-induced mouse bladder epithelial cells.Hematoxylin–eosin(HE)staining was used to assess bladder tissue damage,and ELISA was used to measure inflammatory cytokine levels.Western blot analysis was used to examine p-PERK,ATF-6,p-eIF2α,BiP,ATF-4,Bax,Bcl-2,and cleaved caspase-3 protein expression levels.TUNEL staining and flow cytometry were conducted to measure the degree of apoptosis in bladder epithelial cells and macrophages.Results C/EBP homologous protein levels were decreased in overactive bladder tissues;nevertheless,macrophage infiltration was found to be increased.Knockout of Chop exacerbated bladder dysfunction,tissue injury,macrophage infiltration,and bladder epithelial apoptosis and alleviated endoplasmic reticulum stress.Conclusions Chop deficiency exacerbates inflammation,injury,and bladder epithelial apoptosis in overactive bladder model mice by inhibiting endoplasmic reticulum stress.
基金supported by the National Key R&D Program of China(2023YFE0101200)supported by the National Key R&D Program of China(2021YFA0718500)+3 种基金Yunnan Revitalization Talent Support Program(Yun Ling Scholar Award)the National Natural Science Foundation of China(NSFC)grant 12393813the science research grants from the China Manned Space Projectsupported by Hunan Education Department Foundation(grant No.21A0096)。
文摘We conducted an analysis of the continuum during the onset and initial decline phases of the 2023 outburst in transient neutron star low-mass X-ray binary Aql X–1 using broadband observations from the Hard X-ray Modulation Telescope(Insight-HXMT)instrument.To determine the most appropriate model for the continuum of this outburst,we employed three models to explore the evolution of the spectral component.These observations revealed that the source transitions from the hard state to the soft state.The disk-corona and sphere-corona models both adequately described the spectra of the hard state,while the double blackbody model became preferable after the hard X-ray emission(>25 keV)disappeared during the state transition.In the soft state,the total emission is dominated by the accretion disk and two blackbody components.The combination of the sphere-corona model and the double blackbody model is the most suitable model for this outburst.The results suggest that as the source transitioned into the soft state,the emission from the boundary layer was enhanced,and a hot spot occurred.Notably,we identified two type-ⅠX-ray bursts,one of which exhibited a significant hard X-ray deficit(significance~4.82σ),which indicates that Insight-HXMT has the capability to capture the evolution of the corona in a single burst.
基金Supported by Hongkou District Health Commission of Shanghai Municipality,No.“Hongwei”2303-10.
文摘Osteopontin(OPN),a key extracellular matrix protein,promotes gastrointestinal tumor progression by activating the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(AKT)pathway.OPN enhances tumor proliferation and survival through mechanistic target of rapamycin and B-cell lymphoma 2 upregulation(e.g.,via denticleless E3 ubiquitin protein ligase homolog in hepatocellular carcinoma)and drives metastasis via PI3K/AKT-mediated epithelial-mesenchymal transition and androgen receptor(AR)activation(e.g.,via the OPN-RAN-AR axis in pancreatic cancer).Additionally,OPN induces chemoresistance by activating anti-apoptotic proteins(e.g.,XIAP via CXCR3/PI3K/AKT in colorectal cancer)and remodels the tumor microenvironment through VEGF-dependent angiogenesis and cluster of differentiation 44-PI3K/AKT-mediated immune evasion.Its interaction with TLR4,WNT,and other pathways amplifies oncogenic effects.Therapies targeting the OPN-PI3K/AKT axis(e.g.,PI3K inhibitors like LY294002)or combination treatments(e.g.,with EGFR-TKIs)show promise for reversing drug resistance.Future research should focus on OPN isoform specificity,clinical translation,and interactions with autophagy and long non-coding RNAs to refine precision therapies.This review summarizes recent advances in understanding the molecular mechanisms,therapeutic targets,and clinical challenges of the OPN-PI3K/AKT axis in gastrointestinal tumors,providing a foundation for overcoming resistance and developing precision therapies.
基金the National Key R&D Program of China(No.2023YFC3009501)the National Natural Science Foundation of China(No.52374298)+1 种基金the project of State Key Laboratory of Explosion Science and Safety Protection(Beijing Institute of Technology,No.QNKT23-17)Aeronautical Science Foundation of China(No.20174072003).
文摘Garnet Li_(7)La_(3)Zr_(2)O_(12)(LLZO)electrolytes have been recognized as a promising candidate to replace liquid/molten-state electrolytes in battery applications due to their exceptional performance,particularly Ga-doped LLZO(LLZGO),which exhibits high ionic conductivity.However,the limited size of the Liþtransport bottleneck restricts its high-current discharging performance.The present study focuses on the synthesis of Ga^(3+)þand Ba^(2+)þco-doped LLZO(LLZGBO)and investigates the influence of doping contents on the morphology,crystal structure,Liþtransport bottleneck size,and ionic conductivity.In particular,Ga_(0.32)Ba_(0.15)exhibits the highest ionic conductivity(6.11E-2 S cm^(-1) at 550 C)in comparison with other compositions,which can be attributed to its higher-energy morphology,larger bottleneck and unique Liþtransport channel.In addition to Ba^(2+),Sr^(2+)þand Ca^(2+)have been co-doped with Ga3þinto LLZO,respectively,to study the effect of doping ion radius on crystal structures and the properties of electrolytes.The characterization results demonstrate that the easier Liþtransport and higher ionic conductivity can be obtained when the electrolyte is doped with larger-radius ions.As a result,the assembled thermal battery with Ga_(0.32)Ba_(0.15)-LLZO electrolyte exhibits a remarkable voltage platform of 1.81 V and a high specific capacity of 455.65 mA h g^(-1) at an elevated temperature of 525℃.The discharge specific capacity of the thermal cell at 500 mA amounts to 63%of that at 100 mA,showcasing exceptional high-current discharging performance.When assembled as prototypes with fourteen single cells connected in series,the thermal batteries deliver an activation time of 38 ms and a discharge time of 32 s with the current density of 100 mA cm^(-2).These findings suggest that Ga,Ba co-doped LLZO solid-state electrolytes with high ionic conductivities holds great potential for high-capacity,quick-initiating and high-current discharging thermal batteries.
基金supported by the National Natural Science Foundation of China(No.42377095)the Open Research Fund Program of Plateau Atmosphere and Environment Key Laboratory of Sichuan Province(No.PAEKL-2024-K01)Xianyang Key Research and Development Program(No.L2022ZDYFSF040).
文摘Tropospheric ozone pollution has been worsened over most regions of China,adversely affecting human health and ecosystems.The long-term ozone concentration depends largely upon atmospheric circulations.Here,we conducted meteorological adjustment to quantitatively assess the influences of meteorological factors on the ozone evolution in China's seven city clusters during thewarm season(April to October)from 2013 to 2020.Our analysis indicated that northern and eastern regions experienced ozone increases driven by emission changes.Southern regions,particularly the Pearl River Delta(PRD),exhibited ozone rise primarily due to meteorological conditions despite emission changes.In the Sichuan Basin(SCB)and Central Yangtze River Plain(CYP),where ozone levels decreased,meteorological conditions played a significant role in suppressing the ascent of ozone.Empirical orthogonal functions(EOF)analyses suggested that the spatiotemporal trend ofmeteorologyassociated ozone was strongly correlated with the variation of East Asian Trough(EAT),South Asian High(SAH)and the western Pacific subtropical high(WPSH).The top three EOF patterns explained 33.4%,21.8%,and 16.0%of the total variance inmeteorology-associated ozone.Absolute principal component scores-multiple linear regression(APCS-MLR)analyse quantitatively identified that enhanced EAT and SAH with a northward location of WPSH were favourable to surface ozone formation in central and eastern regions,but unfavourable to ozone formation in edge regions such as SCB.
文摘Attention is the cornerstone of effective functioning in a complex and information-rich world.While the neural activity of attention has been extensively studied in the cortex,the brain-wide neural activity patterns are largely unknown.In this study,we conducted a comprehensive analysis of neural activity across the mouse brain during attentional processing using EEG and c-Fos staining,utilizing hierarchical clustering and c-Fos-based functional network analysis to evaluate the c-Fos activation patterns.Our findings reveal that a wide range of brain regions are activated,notably in the high-order cortex,thalamus,and brain stem regions involved in advanced cognition and arousal regulation,with the central lateral nucleus of the thalamus as a strong hub,suggesting the crucial role of the thalamus in attention control.These results provide valuable insights into the neural network mechanisms underlying attention,offering a foundation for formulating functional hypotheses and conducting circuit-level testing.
基金Supported by the Research and Development Program of Shaanxi Province(No.2021SF-161)the Medical Research Project of Xi’an Science and Technology Action Plan[No.2019114613YX001SF041(1)]。
文摘AIM:To propose a novel classification system for late postoperative capsular block syndrome(CBS)based on the turbidity of intracapsular fluid,and to investigate the imaging and refractive changes before and after Nd:YAG laser posterior capsulotomy for each subtype.METHODS:A retrospective analysis was performed on 5 eyes from 5 patients with late postoperative CBS.Patients were categorized into turbid(3 eyes)or clear(2 eyes)types based on the turbidity of intracapsular fluid.Uncorrected visual acuity(UCVA),best-corrected visual acuity(BCVA),refractive status,slit-lamp images,Pentacam Scheimpflug data,and ultrasound biomicroscopy(UBM)images were evaluated before and 1mo after successful Nd:YAG laser posterior capsulotomy.RESULTS:Nd:YAG laser posterior capsulotomy significantly improved UCVA and BCVA in all 5 late CBS eyes.Pentacam imaging:turbid intracapsular fluid showed hyperreflection between posterior capsule and intraocular lens(IOL);clear fluid showed hyporeflection.UBM:posterior capsule was clear in turbid type but poorly defined in clear type.Capsulotomy increased aqueous depth only in clear type.Refractive changes:turbid fluid induced myopic shift.Clear type myopic shift was due to anterior IOL displacement and clear fluid-induced concave lens effect.CONCLUSION:Nd:YAG laser posterior capsulotomy is effective for late CBS.Turbid and clear late CBS types differ in imaging(Pentacam/UBM)and refractive mechanisms,supporting the proposed classification’s clinical value.
基金supported by National Natural Science Foundation of China(Nos.52374298)National Natural Science Foundation of Chongqing(Nos.CSTB2023NSCQ-MSX0662)Beijing Natural Science Foundation(Nos.L243019).
文摘Thermal batteries are a type of thermally activated reserve battery,where the cathode material significantly influences the operating voltage and specific capacity.In this work,Cu_(2)O–CuO nanowires are prepared by in-situ thermal oxidation method onto Cu foam,which are further coated with a carbon layer derived from polydopamine(PDA).The morphology of the nanowires has been examined using scanning electron microscopy(SEM)and transmission electron microscopy(TEM).The material shows a kind of core–shell structure,with CuO as the shell and Cu_(2)O as the core.To further explore the interaction between the material and lithium-ion(Li^(+)),the Lit adsorption energies of CuO and Cu_(2)O were calculated,revealing a stronger affinity of Li^(+) for CuO.The unique core–shell nanowire structure of Cu_(2)O–CuO can provide a good Li^(+)adsorption with the outer layer CuO and excellent structural stability with the inner layer Cu_(2)O.When applied in thermal batteries,Cu_(2)O–CuO–C nanowires exhibit specific capacity and specific energy of 326 mAh g^(-1)and 697 Wh kg^(-1)at a cut-off voltage of 1.5 V both of which are higher than those of Cu_(2)O–CuO(238 mAh g^(-1)and 445 Wh kg^(-1)).The discharge process includes the insertion of lithium ions and subsequent reduction reactions,ultimately resulting in the formation of lithium oxide and copper.
基金financially supported by the Shandong Provincial Natural Science Foundation(No.ZR2021QC182).
文摘Spermatogenesis is a fundamental process that requires a tightly controlled epigenetic event in spermatogonial stem cells(SSCs).The mechanisms underlying the transition from SSCs to sperm are largely unknown.Most studies utilize gene knockout mice to explain the mechanisms.However,the production of genetically engineered mice is costly and time-consuming.In this study,we presented a convenient research strategy using an RNA interference(RNAi)and testicular transplantation approach.Histone H3 lysine 9(H3K9)methylation was dynamically regulated during spermatogenesis.As Jumonji domain-containing protein 1A(JMJD1A)and Jumonji domain-containing protein 2C(JMJD2C)demethylases catalyze histone H3 lysine 9 dimethylation(H3K9me2),we firstly analyzed the expression profile of the two demethylases and then investigated their function.Using the convenient research strategy,we showed that normal spermatogenesis is disrupted due to the downregulated expression of both demethylases.These results suggest that this strategy might be a simple and alternative approach for analyzing spermatogenesis relative to the gene knockout mice strategy.
基金supported by the National Natural Science Foundation of China(Grant Nos.11932015,12072237,and 12372022)the Shanghai Gaofeng Project for University Academic Program Development,and the Fundamental Research Funds for the Central Universities(Grant No.22120220590).
文摘Self-propelled robots have attracted significant attention due to their remarkable ability to navigate confined terrains.These robots usually have deformable structures while having discontinuous contact forces with the ground,resulting in a complex nonlinear system.To provide a solid foundation for the locomotion prediction and optimization for the self-propelled robots,it is necessary to conduct dynamic modelling and locomotion analysis of the robot.Motivated by these issues,this paper proposes a vibration-driven surrogate dynamic model for a deformable self-propelled robot and presents a detailed dynamic analysis.The surrogate dynamic model is employed to classify various types of stick-slip locomotion.Subsequently,the corresponding experiment demonstrates that the surrogate dynamic model effectively predicts the locomotion of the robot,particularly three types of stick-slip locomotion induced by discontinuous friction.Finally,a multi-objective coordinated optimization regarding the locomotion velocity,the cost of transport,and the energy conversion rate of the self-propelled robot is conducted,aiming to comprehensively enhance the robot’s locomotion performance.Additionally,suggestions for the selection of actuation parameters are presented.
基金supported by the National Natural Science Foundation of China(62376219 and 62006194)Faculty Construction Project(Grant 25SH02010044).
文摘Electroencephalography(EEG)is a widely used neuroimaging technique for decoding brain states.Transformer is gaining attention in EEG signal decoding due to its powerful ability to capture global features.However,relying solely on a single feature extracted by the traditional transformer model to address the domain shift problem caused by the time variability and complexity of EEG signals is challenging.In this paper,we propose a novel Transferable Fusion Multi-band EEG Transformer(TF-MEET)to enhance the performance of cross-session decoding of EEG signals.TF-MEET is mainly divided into three parts:(1)transform the EEG signals into spatial images and band images;(2)design an encoder to obtain spatial features and band features for the two types of images,and comprehensive fusion features are obtained through the weight adaptive fusion module;(3)cross-session EEG signals decoding is achieved by aligning the joint distribution of different domain features and categories through multi-loss domain adversarial training.Experimental results demonstrate(1)TF-MEET outperforms other advanced transfer learning methods on two public EEG emotion recognition datasets,SEED and SEED_IV,achieving an accuracy of 91.68%on SEED and 76.21%on SEED_IV;(2)TF-MEET proves the effectiveness of the transferable fusion module;(3)TF-MEET can identify explainable activation areas in the brain.We demonstrate that TF-MEET can capture comprehensive,transferable and interpretable features in EEG signals and perform well in cross-session EEG signals decoding,which can promote the development of brain-computer interface system.
基金the financial support from Projects of Science&Technology Department of Sichuan Province(Grant No.22023YFG0082,Grant No.2023YFG0096,and Grant No.2023ZHJY0019)Chengdu Science and Technology Projects(Grant No.2024-YF08-00062-GX).
文摘Efficient,safe,and reliable energy output from high-energy-density lithium metal batteries(LMBs)at all climates is crucial for portable electronic devices operating in complex environments.The performance of corresponding cathodes and lithium(Li)metal anodes,however,faces significant challenges under such demanding conditions.Herein,a nonflammable electrolyte for high-voltage Li‖LCO cells has been designed,including partially-fluorinated ethyl 4,4,4-trifluorobutyrate(ETFB)as the key solvent,guided by theoretical calculations.With this ETFB-based electrolyte,Li‖LCO cells exhibit enhanced reversible capacities and superior capacity retention at an elevated charge voltage of 4.5 V and a wide operating temperature range spanning from-60℃to 70℃.The cells achieve 67.1%discharge capacity at-60℃,relative to room temperature capacity,and 85.9%100th-cycle retention at 70℃.The outstanding properties are attributed to the LiF-rich interphases formed in the ETFB-based electrolyte with a finetuned solvation structure,in which the coordination environment in the vicinity of Li^(+)cations and the distance between anion and solvents are subtly adjusted by introducing ETFB.This solvation structure has been mutually elucidated through joint spectra characterizations and atomistic simulations.This work presents a new strategy for the design of electrolytes to achieve all-climate reliable and safe application of LMBs.
