Aligning natural language with operating system(OS)commands allows users to performcomplex computer tasks through simple natural language descriptions.However,due to the complex nature of natural language,it still rem...Aligning natural language with operating system(OS)commands allows users to performcomplex computer tasks through simple natural language descriptions.However,due to the complex nature of natural language,it still remains challenging to achieve precise alignment.In this paper,we present ComAlign,a Chinese benchmark dataset that pairs Chinese natural language descriptions with corresponding OS commands.ComAlign covers a broad range of 82 distinct OS command types with a total of 1811 natural language descriptions.We elaborate on the construction of ComAlign and construct three baselines to evaluate the alignment accuracy on ComAlign.Experimental results show that even advanced large language models struggle with certain ambiguously phrased OS commands.Specifically,the best performing baseline achieves 46.9%alignment accuracy.We demonstrate that ComAlign is collected from realworld application scenarios,making it particularly suitable for developing and benchmarking intelligent OS and agent systems that support user-machine interactions through natural language.展开更多
Active matter is a non-equilibrium condensed system consisting of self-propelled particles capable of converting stored or ambient energy into collective motion.Typical active matter systems include cytoskeleton biopo...Active matter is a non-equilibrium condensed system consisting of self-propelled particles capable of converting stored or ambient energy into collective motion.Typical active matter systems include cytoskeleton biopolymers,swimming bacteria,artificial swimmers,and animal herds.In contrast to wet active matter,dry active matter is an active system characterized by the absence of significant hydrodynamic interactions and conserved momentum.In dry active matter,the role of surrounding fluids is providing viscous friction at low Reynolds numbers and can be neglected at high Reynolds numbers.This review offers a comprehensive overview of recent experimental,computational,and theoretical advances in understanding phase transitions and critical phenomena in dry aligning active matter,including polar particles,self-propelled rods,active nematics,and their chiral counterparts.Various ways of determining phase transition points as well as non-equilibrium phenomena,such as collective motion,cluster formation,and creation and annihilation of topological defects are reviewed.展开更多
Active rods propelled along their long axis align their velocities and orientations simultaneously in collision.However,as the propulsion is perpendicular to the long axis,velocity alignment becomes dynamically diffic...Active rods propelled along their long axis align their velocities and orientations simultaneously in collision.However,as the propulsion is perpendicular to the long axis,velocity alignment becomes dynamically difficult.Here,we show that ellipsoidal Quincke roller propelled along their short-axis(perpendicular to the long axis)can align their velocities by flipping and form flocking with nematic order.The flipping arises from the reversible transition between the static parallel spinless state and the spinning transversal state of ellipsoidal Quincke rollers.This is possible only near(above)the critical field where both the parallel spinless state and the spinning transversal spinning are metastable.The flipping-facilitated alignment offers an extra aligning mechanism for elongate active agents,and the resulting active liquid crystals serve a model system to explore the defect dynamics as the propulsion deviates from the local nematic orientation which has not been addressed yet.展开更多
Industrial data mining usually deals with data from different sources.These heterogeneous datasets describe the same object in different views.However,samples from some of the datasets may be lost.Then the remaining s...Industrial data mining usually deals with data from different sources.These heterogeneous datasets describe the same object in different views.However,samples from some of the datasets may be lost.Then the remaining samples do not correspond one-to-one correctly.Mismatched datasets caused by missing samples make the industrial data unavailable for further machine learning.In order to align the mismatched samples,this article presents a cooperative iteration matching method(CIMM)based on the modified dynamic time warping(DTW).The proposed method regards the sequentially accumulated industrial data as the time series.Mismatched samples are aligned by the DTW.In addition,dynamic constraints are applied to the warping distance of the DTW process to make the alignment more efficient.Then a series of models are trained with the cumulated samples iteratively.Several groups of numerical experiments on different missing patterns and missing locations are designed and analyzed to prove the effectiveness and the applicability of the proposed method.展开更多
Through theoretical analysis,we show how aligning pulse durations affect the degree and the time-rate slope of nitrogen field-free alignment at a fixed pulse intensity.It is found that both the degree and the slope fi...Through theoretical analysis,we show how aligning pulse durations affect the degree and the time-rate slope of nitrogen field-free alignment at a fixed pulse intensity.It is found that both the degree and the slope first increase,then saturate,and finally decrease with the increasing pump duration.The optimal durations for the maximum degree and the maximum slope of the alignment are found to be different.Additionally,they are found to mainly depend on the molecular rotational period,and are affected by the temperature and the aligning pump intensities.The mechanism of molecular alignment is also discussed.展开更多
The purpose of this study is to coordinate the alignment between the nursing curriculum and hospital clinical competencies,identify the reasons for the gaps,evaluate the impact of these gaps on the nursing profession,...The purpose of this study is to coordinate the alignment between the nursing curriculum and hospital clinical competencies,identify the reasons for the gaps,evaluate the impact of these gaps on the nursing profession,and propose strategies to bridge these gaps.This study will help strengthen nursing education,improve nursing students’skills,and help students adapt to complex clinical environments.展开更多
We investigated the effect of aligning crystal orientation in the microstructures containing sub micro-sized grains on the thermoelectric properties for polycrystalline Bi-Te materials.Bi-Te powder,prepared through th...We investigated the effect of aligning crystal orientation in the microstructures containing sub micro-sized grains on the thermoelectric properties for polycrystalline Bi-Te materials.Bi-Te powder,prepared through the conventional pulverization process,was sufficiently dispersed in an appropriate solvent,and then was formed into c-axis aligned green bodies under a designated high magnetic field.The green bodies were sintered with spark-plasma-sintering machine.The degree of crystal alignment of sintered bodies was examined with the electron-back-scatter-diffraction SEM and the X-ray diffraction patterns.It was observed that for both p and n type thermoelectric Bi-Te materials,aligning crystal orientation properly made electrical resistivity decreased with keeping Seebeck coefficient and thermal conductivity remained unchanged.As a typical result,the aligned Bi-Te material with the magnetic field of 10 tesla showed 30%enhancement of the thermoelectric performance.展开更多
Bioprinting provides an unparalleled tool for engineering living tissue constructs that mimic the structural organization of native skeletal muscles.However,it remains a challenge for existing bioprinting strategies t...Bioprinting provides an unparalleled tool for engineering living tissue constructs that mimic the structural organization of native skeletal muscles.However,it remains a challenge for existing bioprinting strategies to recapitulate the highly aligned cellular architectures inside skeletal muscles,primarily due to low printing resolution and limited capability for in situ microenvironmental regulation.Here,we propose to employ the electrical force during the electrohydrodynamic(EHD)bioprinting process to induce the in situ orientation of cell-laden fibrin-alginate hydrogel,which provides nanostructural guidance to the encapsulated cells for the formation of highly aligned skeletal muscle constructs.It was observed that the randomly distributed fibrin protofibril aggregates gradually elongated into uniformly aligned nanofibers at the Taylor cone stage as the applied voltage increased to 3 kV.The oriented fibrin nanofibers further direct in situ cellular alignment along the EHD bioprinting trajectory,facilitating the freeform fabrication of parallelly or circumferentially aligned muscle tissue constructs in vitro.The addition of conductive polymers into the fibrin-alginate hydrogel endows the EHD-bioprinted living constructs with muscle-specific conductivity and cellular organization,which promote myotube differentiation and maturation.The resultant aligned and conductive muscle constructs promoted in situ muscle regeneration and restored lost muscle functions at the defect regions in vivo.The presented EHD bioprinting strategy for fibrin-alginate hydrogel provides a versatile and simple platform to freely fabricate conductive,living tissue constructs with designer cellular alignments.展开更多
Floras and monographs are among the most information-dense syntheses in taxonomy,but they were written primarily for expert reading rather than computational reuse.In Large Language Model(LLM)-assisted translation,the...Floras and monographs are among the most information-dense syntheses in taxonomy,but they were written primarily for expert reading rather than computational reuse.In Large Language Model(LLM)-assisted translation,the most consequential failures are often small:a measurement range may be simplified,a unit or special symbol may be changed,a negation cue may be lost,or a name string may no longer be stable enough for linking.展开更多
Surface passivation via two-dimensional(2D)perovskite has emerged as a promising strategy to enhance the performance of perovskite solar cells(PSCs)due to the effective compensation of interfacial states.However,the i...Surface passivation via two-dimensional(2D)perovskite has emerged as a promising strategy to enhance the performance of perovskite solar cells(PSCs)due to the effective compensation of interfacial states.However,the in situ grown 2D perovskite passivation layers typically comprise a mixture of multiple dimensionalities at the interface,where band alignment has only been portrayed qualitatively and empirically.Herein,the interface states for precisely phase-tailored 2D perovskite passivated PSCs are quantitatively investigated.In comparison to traditional passivation molecules,2D perovskite layers based on 4-trifluoromethyl-phenylethylammonium iodide(CF3PEAI)exhibit an increased work function,introducing desirable downward band bending to eliminate the Schottky Barrier.Furthermore,precisely phase-tailored 2D layers could modulate the interface trap density and energetics.The n=1 film delivers optimal performance with a hole extraction efficiency of 95.1%.The optimized n-i-p PSCs in the two-step method significantly improve PCE to 25.40%,along with enhanced photostability and negligible hysteresis.It highlights that tailoring in the composition and phase distribution of the 2D perovskite layer could modulate the interface states at the 2D/3D interface.展开更多
This article seeks to explore a general formulation of artificial general intelligence(AGI)under a unified framework that defines AGI agents as points in a joint(C,U,V)space.An agent is characterized by three componen...This article seeks to explore a general formulation of artificial general intelligence(AGI)under a unified framework that defines AGI agents as points in a joint(C,U,V)space.An agent is characterized by three components:①a cognitive architecture C,which represents the modules(mathematical functions)inside the agent’s mind,as well as the connections and communication protocols between these modules,including the theory of mind(ToM);②a set of potential functions U,which represents the skills of perception,cognition,and planning(e.g.,a potential function can be a neural network trained for visual object recognition,or embodied motion planning);and③a set of value functions V,which includes the agent’s urges,preferences,and social affections,as well as benefits for individual agents or a group of agents.In this setting,“intelligence”is defined as a wide range of phenomena exhibited by agents when they interact with complex environments(i.e.,physical intelligence)and other agents(i.e.,social intelligence).Given an initial point in the(C,U,V)space,an agent can explore new V-dimensions,which in turn drives the acquisition and learning of skills by enabling the learning of new potential functions U in the environment and by updating the cognitive model.We have developed a Tong test as a benchmark and evaluation criteria:An agent that has reached the human level(C,U,V)is called a“Tong Agent.”The convergence of this process defines the limits of the agent’s evolution;we name this the“stopping problem”of Tong Agents,based on the analogy of the halting problem in a Turing machine.展开更多
The random distribution of one-dimensional nanofillers in composite polymer electrolytes(CPEs) typically results in tortuous ion transport pathways,severely limiting ionic conductivity and Li+ flux uniformity.Herei...The random distribution of one-dimensional nanofillers in composite polymer electrolytes(CPEs) typically results in tortuous ion transport pathways,severely limiting ionic conductivity and Li+ flux uniformity.Herein,an innovative electric field-assisted strategy is proposed to construct vertically aligned ion channels in CPEs using lithiated halloysite nano tubes(HNTs-SO3Li)embedded within a polyurethane acrylate/polyethylene glycol diacrylate(PUA/PEGDA) matrix.Under an alternating electric field,the nanotubes orient perpendicularly,forming continuous,low-tortuosity pathways that significantly enhance roomtemperature ionic conductivity.The aligned structure not only shortens Li+transport distances but also homogenizes ion flux at the electrode interface,effectively suppressing lithium dendrite growth.Electrochemical characterization reveals exceptional stability.Three-dimensional structural reconstruction and ion transport simulations further demonstrate that the ordered channels promote uniform Li+distribution and faster ion kinetics compared to disordered systems.This study provides a scalable and efficient approach to designing high-performance CPEs for next-generation solid-state batteries,addressing critical challenges in ionic conductivity,interfacial stability,and dendrite suppression.展开更多
The high-quality assembly of Large Aircraft Components(LACs)is essential in modern aviation manufacturing.Numerical control locators are employed for the posture adjustment of LAC,yet the system's multi-input mult...The high-quality assembly of Large Aircraft Components(LACs)is essential in modern aviation manufacturing.Numerical control locators are employed for the posture adjustment of LAC,yet the system's multi-input multi-output,nonlinearity,and strong coupling presents significant challenges.The substantial internal force generated during the adjustment process can potentially damage the LAC and degrade the assembly quality.Hence,a workspace-based hybrid force position control scheme was developed to achieve high quality assembly with high-precision and lower internal force.Firstly,an offline workspace analysis with inherent geometric characteristics to form time-varying posture error constraint.Then,the posture error is integrated into the online position axis control to ensure tracking the ideal posture,while the force control axis compensates for posture deviation by minimizing internal force,thereby achieving high precision and low internal force.Finally,the effectiveness was demonstrated through experiments.The root mean square errors of orientation and position are 104 rad and 0.1 mm,respectively.A reduction in internal force can range from 10.96%to 57.4%compared to the traditional method.Key points'max position error is decreased from 0.32 mm to 0.18 mm,satisfying the 0.5 mm tolerance.Therefore,the proposed method will help promote the development of high-performance manufacturing.展开更多
In multi-modal emotion recognition,excessive reliance on historical context often impedes the detection of emotional shifts,while modality heterogeneity and unimodal noise limit recognition performance.Existing method...In multi-modal emotion recognition,excessive reliance on historical context often impedes the detection of emotional shifts,while modality heterogeneity and unimodal noise limit recognition performance.Existing methods struggle to dynamically adjust cross-modal complementary strength to optimize fusion quality and lack effective mechanisms to model the dynamic evolution of emotions.To address these issues,we propose a multi-level dynamic gating and emotion transfer framework for multi-modal emotion recognition.A dynamic gating mechanism is applied across unimodal encoding,cross-modal alignment,and emotion transfer modeling,substantially improving noise robustness and feature alignment.First,we construct a unimodal encoder based on gated recurrent units and feature-selection gating to suppress intra-modal noise and enhance contextual representation.Second,we design a gated-attention crossmodal encoder that dynamically calibrates the complementary contributions of visual and audio modalities to the dominant textual features and eliminates redundant information.Finally,we introduce a gated enhanced emotion transfer module that explicitly models the temporal dependence of emotional evolution in dialogues via transfer gating and optimizes continuity modeling with a comparative learning loss.Experimental results demonstrate that the proposed method outperforms state-of-the-art models on the public MELD and IEMOCAP datasets.展开更多
Antimony selenosulfide(Sb2(S,Se)3)has emerged as a promising light-harvester for thin-film photovoltaics,offering an eco-friendly and earth-abundant alternative with exceptional structural stability and tunable ...Antimony selenosulfide(Sb2(S,Se)3)has emerged as a promising light-harvester for thin-film photovoltaics,offering an eco-friendly and earth-abundant alternative with exceptional structural stability and tunable optoelectronic characteristics.However,solution-processed Sb2(S,Se)3films encounter critical challenges,particularly non-equilibrium anion gradient distribution and pervasive vacancy/antisite defects,which fundamentally compromise carrier dynamics and ultimately limit photovoltaic performance.To address these dual challenges,we have developed an innovative sequential sulfur-selenium ion gradient engineering(SIGE)strategy.This approach involves preferential sulfur incorporation followed by controlled selenium infusion,enabling targeted defect passivation and optimal anion distribution.The SIGE strategy achieves transformative advancements through three synergistic mechanisms:(1)precise band alignment enabled by chalcogen composition regulation;(2)suppression of detrimental deep-level defects via targeted selenium-ion occupancy control;(3)enhanced carrier transport dynamics through a marked reduction in non-radiative recombination.Consequently,the resulting TS-Sb2(S,Se)3device yields a power conversion efficiency of 10.84%and an open-circuit voltage of 0.584 V,achieving an efficiency enhancement of 25.75%compared to the original Sb2(S,Se)3device.This innovative chalcogen gradient engineering approach establishes a universal framework for atomic-scale composition control,point defect passivation,and interface optimization in multinary semiconductors.The research findings also provide crucial insights for advancing high-performance metal chalcogenide photovoltaic technologies.展开更多
Temporal alignment of multisensor time series(MTS)is a critical prerequisite for accurate modeling and optimal control in subsequent data-driven applications.Nevertheless,many approaches frequently neglect to consider...Temporal alignment of multisensor time series(MTS)is a critical prerequisite for accurate modeling and optimal control in subsequent data-driven applications.Nevertheless,many approaches frequently neglect to consider the complex interdependencies between different sensors in MTS,and temporal alignment in many methods is typically treated as an isolated task disconnected from the downstream objectives,leading to unsatisfactory performances in follow-up applications.To address these challenges,this paper proposes a novel knowledge graph(KG)-guided iterative-updating graph neural network(GNN)for time-delay estimation(TDE)in MTS.Initially,a domain-specific KG is constructed from domain mechanism knowledge,providing a foundation for GNN's initialization.Next,capitalizing on the inherent structure of the graph topology,a GNN-based TDE method is developed.Then,a customized loss function is constructed,which synthesizes both the performances of downstream tasks and graph-based constraints.Moreover,an innovative algorithm for GNN structure learning and iterative-updating is proposed to renovate the graph structure further.Finally,experimental results across various regression and classification tasks on numerical simulation,public datasets,and the real blast furnace ironmaking dataset demonstrate that the proposed method can achieve accurate temporal alignment of MTS.展开更多
Advanced therapy medicinal products(ATMPs),encompassing therapies derived from mesenchymal stem cells,induced pluripotent stem cells,and their extracellular vesicles,hold substantial transformative potential for clini...Advanced therapy medicinal products(ATMPs),encompassing therapies derived from mesenchymal stem cells,induced pluripotent stem cells,and their extracellular vesicles,hold substantial transformative potential for clinical applications.However,their translation from bench to bedside and eventual commercialization is hindered by considerable scientific,manufacturing,and regulatory challenges.This review examines these challenges using a structured framework that synthesizes evidence from recent studies,international guidance documents,and regulatory agency reports.We provide an overview of the global regulatory environment and harmonization efforts that influence ATMP oversight,highlighting the frameworks established by major agencies and international initiatives.Technical discussions cover cell sourcing,scalable bioprocess engineering-including bioreactors,closed system technologies,and tangential flow filtration-product quality attributes,and real-time in-process monitoring,incorporating emerging artificial intelligence-driven process analytical technologies.Special focus is given to advanced considerations such as induced pluripotent stem cells tumorigenicity,emphasizing the risks posed by residual undifferentiated cells and the importance of sensitive assays and genetic integrity evaluation;mesenchymal stem cell-derived exosome production,with attention to scale-up strategies,isolation techniques,and quality control standards;global harmonization of good manufacturing practice and ATMP standards;and artificial intelligence-enabled process analytics for automated,closed-cell culture systems.The review further explores potency assays,product comparability,supply chain logistics,and forward-looking trends,including point-of-care manufacturing and digital twin approaches,aiming to equip researchers,developers,and regulators with strategies to advance ATMP development safely and efficiently,ensuring robust therapeutic efficacy and patient safety for next-generation cell and exosome therapies.展开更多
Although much research has been devoted to gait analysis while walking or running,a surprising gap in knowledge is its relationship with upper body function,particularly core stability.The methods used to train and as...Although much research has been devoted to gait analysis while walking or running,a surprising gap in knowledge is its relationship with upper body function,particularly core stability.The methods used to train and assess athletic locomotion are mainly focused on the lower limbs,while the upper body is often overlooked.Yet,proper body alignment from feet to head is essential for applying maximum force to the ground,thereby moving faster and more efficiently.It is believed that the core,which connects the upper and lower body,should be strong.The training of many athletes is therefore aimed at developing core muscle strength.However,for most of them,rigid core musculature associated with reduced spinal mobility may not be beneficial.Instead,core strength should be developed to the extent that allows race walkers and runners to optimize their performance.Accordingly,methods reflecting the functional nature of core strength,along with measures of postural alignment and lateral lumbopelvic stability,should be used to assess training effectiveness.To this end,a comprehensive head-to-toe approach to the assessment of athletic locomotion is recommended.Special emphasis should be placed on the role of postural and core stability in walking and running gait.展开更多
Incomplete multimodal sentiment analysis has attracted increasing research interest in recent years.Existing methods attempt to recover missing modalities through generative reconstruction and text-enhanced fusion,but...Incomplete multimodal sentiment analysis has attracted increasing research interest in recent years.Existing methods attempt to recover missing modalities through generative reconstruction and text-enhanced fusion,but these approaches may be limited in preserving sentiment-relevant information and fully leveraging complementary and hierarchical cross-modal interactions,particularly under noisy or incomplete conditions.To address these challenges,we propose TC-DSC,a text-centric hierarchical dual-stream interaction framework for incomplete multimodal sentiment analysis.Rather than reconstructing raw signals,TC-DSC performs semantic alignment and consistency modeling in the feature space through structured interactions between a text-centric stream and auxiliary audio-visual streams.A multi-scale enhanced encoder is designed to improve the robustness of non-text modalities under noisy conditions.Furthermore,a hierarchical proxy layer enables bidirectional interaction,with the text modality serving as a semantic anchor to guide cross-modal alignment.A semantic distillation strategy is also incorporated to facilitate knowledge transfer in the feature space under modality missing.Extensive experiments on MOSI,MOSEI,and SIMS demonstrate that TC-DSC achieves competitive performance and consistent improvements under both complete and incomplete settings.展开更多
In this study,we present the development of a cryobioink designed to fabricate anisotropic scaffolds that support both neural and muscle cell-alignment.Given the critical role of cellular organization in nerve fibers ...In this study,we present the development of a cryobioink designed to fabricate anisotropic scaffolds that support both neural and muscle cell-alignment.Given the critical role of cellular organization in nerve fibers and neuromuscular junctions,we employed a vertical cryobioprinting-enabled ice-templating technique to create scaffolds with aligned microchannels.These channels facilitated cell-alignment,which is important in modeling neural and neuromuscular tissues.By integrating hyaluronic acid-methacrylate(HAMA)with gelatin methacryloyl and the necessary cryoprotective agent melezitose,we showcased that the cryobioink could preserve cell viability during freezinghawing processes,even at low temperatures employed during cryobioprinting.We optimized HAMA concentration to enhance neural cell viability and alignment,and successfully constructed anisotropic scaffolds featuring distinct sections that contained muscle and neural cells,establishing a model for neuromuscular junctions.The resulting models provide a versatile platform for studying nerve fibers and neuromuscular dysfunctions,offering potential advancements in neural regeneration research.展开更多
基金supported by the National Key Research and Development Program under Grant 2024YFB4506200the Science and Technology Innovation Program of Hunan Province under Grant 2024RC1048the National Key Laboratory Foundation Project under Grant 2024-KJWPDL-14.
摘要Aligning natural language with operating system(OS)commands allows users to performcomplex computer tasks through simple natural language descriptions.However,due to the complex nature of natural language,it still remains challenging to achieve precise alignment.In this paper,we present ComAlign,a Chinese benchmark dataset that pairs Chinese natural language descriptions with corresponding OS commands.ComAlign covers a broad range of 82 distinct OS command types with a total of 1811 natural language descriptions.We elaborate on the construction of ComAlign and construct three baselines to evaluate the alignment accuracy on ComAlign.Experimental results show that even advanced large language models struggle with certain ambiguously phrased OS commands.Specifically,the best performing baseline achieves 46.9%alignment accuracy.We demonstrate that ComAlign is collected from realworld application scenarios,making it particularly suitable for developing and benchmarking intelligent OS and agent systems that support user-machine interactions through natural language.
基金granted by the National Natural Science Foundation of China(No.12047503)Wenzhou Institute,University of Chinese Academy of Sciences(No.WIUCASQD2023009)。
摘要Active matter is a non-equilibrium condensed system consisting of self-propelled particles capable of converting stored or ambient energy into collective motion.Typical active matter systems include cytoskeleton biopolymers,swimming bacteria,artificial swimmers,and animal herds.In contrast to wet active matter,dry active matter is an active system characterized by the absence of significant hydrodynamic interactions and conserved momentum.In dry active matter,the role of surrounding fluids is providing viscous friction at low Reynolds numbers and can be neglected at high Reynolds numbers.This review offers a comprehensive overview of recent experimental,computational,and theoretical advances in understanding phase transitions and critical phenomena in dry aligning active matter,including polar particles,self-propelled rods,active nematics,and their chiral counterparts.Various ways of determining phase transition points as well as non-equilibrium phenomena,such as collective motion,cluster formation,and creation and annihilation of topological defects are reviewed.
基金financial support of the National Natural Science Foundation of China(Grant No.11974255)。
摘要Active rods propelled along their long axis align their velocities and orientations simultaneously in collision.However,as the propulsion is perpendicular to the long axis,velocity alignment becomes dynamically difficult.Here,we show that ellipsoidal Quincke roller propelled along their short-axis(perpendicular to the long axis)can align their velocities by flipping and form flocking with nematic order.The flipping arises from the reversible transition between the static parallel spinless state and the spinning transversal state of ellipsoidal Quincke rollers.This is possible only near(above)the critical field where both the parallel spinless state and the spinning transversal spinning are metastable.The flipping-facilitated alignment offers an extra aligning mechanism for elongate active agents,and the resulting active liquid crystals serve a model system to explore the defect dynamics as the propulsion deviates from the local nematic orientation which has not been addressed yet.
基金the Key National Natural Science Foundation of China(No.U1864211)the National Natural Science Foundation of China(No.11772191)the Natural Science Foundation of Shanghai(No.21ZR1431500)。
摘要Industrial data mining usually deals with data from different sources.These heterogeneous datasets describe the same object in different views.However,samples from some of the datasets may be lost.Then the remaining samples do not correspond one-to-one correctly.Mismatched datasets caused by missing samples make the industrial data unavailable for further machine learning.In order to align the mismatched samples,this article presents a cooperative iteration matching method(CIMM)based on the modified dynamic time warping(DTW).The proposed method regards the sequentially accumulated industrial data as the time series.Mismatched samples are aligned by the DTW.In addition,dynamic constraints are applied to the warping distance of the DTW process to make the alignment more efficient.Then a series of models are trained with the cumulated samples iteratively.Several groups of numerical experiments on different missing patterns and missing locations are designed and analyzed to prove the effectiveness and the applicability of the proposed method.
基金Project supported by the National Natural Science Foundation of China (Grants Nos. 10634020,11074014 and 10821062)
摘要Through theoretical analysis,we show how aligning pulse durations affect the degree and the time-rate slope of nitrogen field-free alignment at a fixed pulse intensity.It is found that both the degree and the slope first increase,then saturate,and finally decrease with the increasing pump duration.The optimal durations for the maximum degree and the maximum slope of the alignment are found to be different.Additionally,they are found to mainly depend on the molecular rotational period,and are affected by the temperature and the aligning pump intensities.The mechanism of molecular alignment is also discussed.
摘要The purpose of this study is to coordinate the alignment between the nursing curriculum and hospital clinical competencies,identify the reasons for the gaps,evaluate the impact of these gaps on the nursing profession,and propose strategies to bridge these gaps.This study will help strengthen nursing education,improve nursing students’skills,and help students adapt to complex clinical environments.
基金Item Sponsored by Energy Efficiency&Resources of the Korea Institute of Energy Technology Evaluation and Planning(KETEP)grant funded by the Ministry of Knowledge Economy,Republic of Korea(2007EID11P050000)the DGIST Basic Research Program of the Ministry of Education,Science and Technology(MoEST),Republic of Korea(12-EN-01)
摘要We investigated the effect of aligning crystal orientation in the microstructures containing sub micro-sized grains on the thermoelectric properties for polycrystalline Bi-Te materials.Bi-Te powder,prepared through the conventional pulverization process,was sufficiently dispersed in an appropriate solvent,and then was formed into c-axis aligned green bodies under a designated high magnetic field.The green bodies were sintered with spark-plasma-sintering machine.The degree of crystal alignment of sintered bodies was examined with the electron-back-scatter-diffraction SEM and the X-ray diffraction patterns.It was observed that for both p and n type thermoelectric Bi-Te materials,aligning crystal orientation properly made electrical resistivity decreased with keeping Seebeck coefficient and thermal conductivity remained unchanged.As a typical result,the aligned Bi-Te material with the magnetic field of 10 tesla showed 30%enhancement of the thermoelectric performance.
基金supported by the National Natural Science Foundation of China(52405325,52125501)the Key Research Project of Shaanxi Province(2024SF2-GJHX-34)+4 种基金the Postdoctoral Fellowship Program of CPSF(GZB20230573)the China Postdoctoral Science Foundation(2024M762577),the Postdoctoral Project of Shaanxi Province(2023BSHYDZZ30)the Open Research Fund of the State Key Laboratory of Oral&Maxillofacial Reconstruction and Regeneration(2024KB04)the Open Research Fund of the State Key Laboratory for Manufacturing Systems Engineering(sklms2025014)the Fundamental Research Funds for the Central Universities and Open Research Fund of Xinjiang Uygur Autonomous Region Key Laboratory(2025D04009).
摘要Bioprinting provides an unparalleled tool for engineering living tissue constructs that mimic the structural organization of native skeletal muscles.However,it remains a challenge for existing bioprinting strategies to recapitulate the highly aligned cellular architectures inside skeletal muscles,primarily due to low printing resolution and limited capability for in situ microenvironmental regulation.Here,we propose to employ the electrical force during the electrohydrodynamic(EHD)bioprinting process to induce the in situ orientation of cell-laden fibrin-alginate hydrogel,which provides nanostructural guidance to the encapsulated cells for the formation of highly aligned skeletal muscle constructs.It was observed that the randomly distributed fibrin protofibril aggregates gradually elongated into uniformly aligned nanofibers at the Taylor cone stage as the applied voltage increased to 3 kV.The oriented fibrin nanofibers further direct in situ cellular alignment along the EHD bioprinting trajectory,facilitating the freeform fabrication of parallelly or circumferentially aligned muscle tissue constructs in vitro.The addition of conductive polymers into the fibrin-alginate hydrogel endows the EHD-bioprinted living constructs with muscle-specific conductivity and cellular organization,which promote myotube differentiation and maturation.The resultant aligned and conductive muscle constructs promoted in situ muscle regeneration and restored lost muscle functions at the defect regions in vivo.The presented EHD bioprinting strategy for fibrin-alginate hydrogel provides a versatile and simple platform to freely fabricate conductive,living tissue constructs with designer cellular alignments.
基金supported by the National Natural Science Foundation of China(grant numbers 32570240 to B.B.L.,32270216 to B.B.L.,and 32000163 to B.B.L.)the Youth Innovation Promotion Association CAS(2023086 to B.B.L.)the Biological Resources Programme,Chinese Academy of Sciences(CAS-TAX-24-013 to B.B.L.).
摘要Floras and monographs are among the most information-dense syntheses in taxonomy,but they were written primarily for expert reading rather than computational reuse.In Large Language Model(LLM)-assisted translation,the most consequential failures are often small:a measurement range may be simplified,a unit or special symbol may be changed,a negation cue may be lost,or a name string may no longer be stable enough for linking.
基金supported by the National Natural Science Foundation of China(Nos.62304111,62304110,22579136)the National Key Research and Development Program of China(2024YFE0201800)+6 种基金the China Postdoctoral Science Foundation(No.2024M761492)the Project of State Key Laboratory of Organic Electronics and Information Displays(Nos.GDX2022010009,GZR2023010046)the Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications(No.NY223053)the Science and Technology Project of Jiangsu(Science and Technology Cooperation Project of HongKong,Macao and Taiwan,No.BZ2023059)Shaanxi Fundamental Science Research Project for Mathematics and Physics(No.22jSY015)Young Talent Fund of Xi'an Association for Science and Technology(No.959202313020)Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems(No.2023B1212010003).
摘要Surface passivation via two-dimensional(2D)perovskite has emerged as a promising strategy to enhance the performance of perovskite solar cells(PSCs)due to the effective compensation of interfacial states.However,the in situ grown 2D perovskite passivation layers typically comprise a mixture of multiple dimensionalities at the interface,where band alignment has only been portrayed qualitatively and empirically.Herein,the interface states for precisely phase-tailored 2D perovskite passivated PSCs are quantitatively investigated.In comparison to traditional passivation molecules,2D perovskite layers based on 4-trifluoromethyl-phenylethylammonium iodide(CF3PEAI)exhibit an increased work function,introducing desirable downward band bending to eliminate the Schottky Barrier.Furthermore,precisely phase-tailored 2D layers could modulate the interface trap density and energetics.The n=1 film delivers optimal performance with a hole extraction efficiency of 95.1%.The optimized n-i-p PSCs in the two-step method significantly improve PCE to 25.40%,along with enhanced photostability and negligible hysteresis.It highlights that tailoring in the composition and phase distribution of the 2D perovskite layer could modulate the interface states at the 2D/3D interface.
基金supported by the National Science and Technology Major Project(2022ZD0114902)。
摘要This article seeks to explore a general formulation of artificial general intelligence(AGI)under a unified framework that defines AGI agents as points in a joint(C,U,V)space.An agent is characterized by three components:①a cognitive architecture C,which represents the modules(mathematical functions)inside the agent’s mind,as well as the connections and communication protocols between these modules,including the theory of mind(ToM);②a set of potential functions U,which represents the skills of perception,cognition,and planning(e.g.,a potential function can be a neural network trained for visual object recognition,or embodied motion planning);and③a set of value functions V,which includes the agent’s urges,preferences,and social affections,as well as benefits for individual agents or a group of agents.In this setting,“intelligence”is defined as a wide range of phenomena exhibited by agents when they interact with complex environments(i.e.,physical intelligence)and other agents(i.e.,social intelligence).Given an initial point in the(C,U,V)space,an agent can explore new V-dimensions,which in turn drives the acquisition and learning of skills by enabling the learning of new potential functions U in the environment and by updating the cognitive model.We have developed a Tong test as a benchmark and evaluation criteria:An agent that has reached the human level(C,U,V)is called a“Tong Agent.”The convergence of this process defines the limits of the agent’s evolution;we name this the“stopping problem”of Tong Agents,based on the analogy of the halting problem in a Turing machine.
基金the Program of National Key Research and Development of China (No.2022YFB3603702, No. 2023YFC3905301)Hubei Provincial Natural Science Foundation of China (No. 2025AFA025)the Research Fund of Jianghan University (No. 2023KJZX01)。
摘要The random distribution of one-dimensional nanofillers in composite polymer electrolytes(CPEs) typically results in tortuous ion transport pathways,severely limiting ionic conductivity and Li+ flux uniformity.Herein,an innovative electric field-assisted strategy is proposed to construct vertically aligned ion channels in CPEs using lithiated halloysite nano tubes(HNTs-SO3Li)embedded within a polyurethane acrylate/polyethylene glycol diacrylate(PUA/PEGDA) matrix.Under an alternating electric field,the nanotubes orient perpendicularly,forming continuous,low-tortuosity pathways that significantly enhance roomtemperature ionic conductivity.The aligned structure not only shortens Li+transport distances but also homogenizes ion flux at the electrode interface,effectively suppressing lithium dendrite growth.Electrochemical characterization reveals exceptional stability.Three-dimensional structural reconstruction and ion transport simulations further demonstrate that the ordered channels promote uniform Li+distribution and faster ion kinetics compared to disordered systems.This study provides a scalable and efficient approach to designing high-performance CPEs for next-generation solid-state batteries,addressing critical challenges in ionic conductivity,interfacial stability,and dendrite suppression.
基金co-supported by the National Natural Science Foundation of China(No.52125504)the Liaoning Revitalization Talents Program(No.XLYC2202017)Dalian Support Policy Project for Innovation of Technological Talents(No.2023RG001)。
摘要The high-quality assembly of Large Aircraft Components(LACs)is essential in modern aviation manufacturing.Numerical control locators are employed for the posture adjustment of LAC,yet the system's multi-input multi-output,nonlinearity,and strong coupling presents significant challenges.The substantial internal force generated during the adjustment process can potentially damage the LAC and degrade the assembly quality.Hence,a workspace-based hybrid force position control scheme was developed to achieve high quality assembly with high-precision and lower internal force.Firstly,an offline workspace analysis with inherent geometric characteristics to form time-varying posture error constraint.Then,the posture error is integrated into the online position axis control to ensure tracking the ideal posture,while the force control axis compensates for posture deviation by minimizing internal force,thereby achieving high precision and low internal force.Finally,the effectiveness was demonstrated through experiments.The root mean square errors of orientation and position are 104 rad and 0.1 mm,respectively.A reduction in internal force can range from 10.96%to 57.4%compared to the traditional method.Key points'max position error is decreased from 0.32 mm to 0.18 mm,satisfying the 0.5 mm tolerance.Therefore,the proposed method will help promote the development of high-performance manufacturing.
基金funded by“the Fanying Special Program of the National Natural Science Foundation of China,grant number 62341307”“the Scientific research project of Jiangxi Provincial Department of Education,grant number GJJ200839”“the Doctoral startup fund of Jiangxi University of Technology,grant number 205200100402”.
摘要In multi-modal emotion recognition,excessive reliance on historical context often impedes the detection of emotional shifts,while modality heterogeneity and unimodal noise limit recognition performance.Existing methods struggle to dynamically adjust cross-modal complementary strength to optimize fusion quality and lack effective mechanisms to model the dynamic evolution of emotions.To address these issues,we propose a multi-level dynamic gating and emotion transfer framework for multi-modal emotion recognition.A dynamic gating mechanism is applied across unimodal encoding,cross-modal alignment,and emotion transfer modeling,substantially improving noise robustness and feature alignment.First,we construct a unimodal encoder based on gated recurrent units and feature-selection gating to suppress intra-modal noise and enhance contextual representation.Second,we design a gated-attention crossmodal encoder that dynamically calibrates the complementary contributions of visual and audio modalities to the dominant textual features and eliminates redundant information.Finally,we introduce a gated enhanced emotion transfer module that explicitly models the temporal dependence of emotional evolution in dialogues via transfer gating and optimizes continuity modeling with a comparative learning loss.Experimental results demonstrate that the proposed method outperforms state-of-the-art models on the public MELD and IEMOCAP datasets.
基金supported by the Natural Science Foundation of Anhui Province,China(Grant No.2408085ME110)the National Natural Science Foundation of China(Grant Nos.52271208,52450138)+1 种基金the Fundamental Research Funds for the Central Universities(Grant Nos.JZ2023HGTB0265 and JZ2024HGTG0305)the Key University Science Research Project of Jiangsu Province(23KJA430011)。
摘要Antimony selenosulfide(Sb2(S,Se)3)has emerged as a promising light-harvester for thin-film photovoltaics,offering an eco-friendly and earth-abundant alternative with exceptional structural stability and tunable optoelectronic characteristics.However,solution-processed Sb2(S,Se)3films encounter critical challenges,particularly non-equilibrium anion gradient distribution and pervasive vacancy/antisite defects,which fundamentally compromise carrier dynamics and ultimately limit photovoltaic performance.To address these dual challenges,we have developed an innovative sequential sulfur-selenium ion gradient engineering(SIGE)strategy.This approach involves preferential sulfur incorporation followed by controlled selenium infusion,enabling targeted defect passivation and optimal anion distribution.The SIGE strategy achieves transformative advancements through three synergistic mechanisms:(1)precise band alignment enabled by chalcogen composition regulation;(2)suppression of detrimental deep-level defects via targeted selenium-ion occupancy control;(3)enhanced carrier transport dynamics through a marked reduction in non-radiative recombination.Consequently,the resulting TS-Sb2(S,Se)3device yields a power conversion efficiency of 10.84%and an open-circuit voltage of 0.584 V,achieving an efficiency enhancement of 25.75%compared to the original Sb2(S,Se)3device.This innovative chalcogen gradient engineering approach establishes a universal framework for atomic-scale composition control,point defect passivation,and interface optimization in multinary semiconductors.The research findings also provide crucial insights for advancing high-performance metal chalcogenide photovoltaic technologies.
基金supported by the Young Scientists Fund of the National Natural Science Foundation of China(62303491)the Major Program of Xiangjiang Laboratory(22XJ01005)+1 种基金the Science and Technology Innovation Program of Hunan Province(2024RC1007)the Natural Science Foundation of Hunan Province(2025JJ10007)。
摘要Temporal alignment of multisensor time series(MTS)is a critical prerequisite for accurate modeling and optimal control in subsequent data-driven applications.Nevertheless,many approaches frequently neglect to consider the complex interdependencies between different sensors in MTS,and temporal alignment in many methods is typically treated as an isolated task disconnected from the downstream objectives,leading to unsatisfactory performances in follow-up applications.To address these challenges,this paper proposes a novel knowledge graph(KG)-guided iterative-updating graph neural network(GNN)for time-delay estimation(TDE)in MTS.Initially,a domain-specific KG is constructed from domain mechanism knowledge,providing a foundation for GNN's initialization.Next,capitalizing on the inherent structure of the graph topology,a GNN-based TDE method is developed.Then,a customized loss function is constructed,which synthesizes both the performances of downstream tasks and graph-based constraints.Moreover,an innovative algorithm for GNN structure learning and iterative-updating is proposed to renovate the graph structure further.Finally,experimental results across various regression and classification tasks on numerical simulation,public datasets,and the real blast furnace ironmaking dataset demonstrate that the proposed method can achieve accurate temporal alignment of MTS.
摘要Advanced therapy medicinal products(ATMPs),encompassing therapies derived from mesenchymal stem cells,induced pluripotent stem cells,and their extracellular vesicles,hold substantial transformative potential for clinical applications.However,their translation from bench to bedside and eventual commercialization is hindered by considerable scientific,manufacturing,and regulatory challenges.This review examines these challenges using a structured framework that synthesizes evidence from recent studies,international guidance documents,and regulatory agency reports.We provide an overview of the global regulatory environment and harmonization efforts that influence ATMP oversight,highlighting the frameworks established by major agencies and international initiatives.Technical discussions cover cell sourcing,scalable bioprocess engineering-including bioreactors,closed system technologies,and tangential flow filtration-product quality attributes,and real-time in-process monitoring,incorporating emerging artificial intelligence-driven process analytical technologies.Special focus is given to advanced considerations such as induced pluripotent stem cells tumorigenicity,emphasizing the risks posed by residual undifferentiated cells and the importance of sensitive assays and genetic integrity evaluation;mesenchymal stem cell-derived exosome production,with attention to scale-up strategies,isolation techniques,and quality control standards;global harmonization of good manufacturing practice and ATMP standards;and artificial intelligence-enabled process analytics for automated,closed-cell culture systems.The review further explores potency assays,product comparability,supply chain logistics,and forward-looking trends,including point-of-care manufacturing and digital twin approaches,aiming to equip researchers,developers,and regulators with strategies to advance ATMP development safely and efficiently,ensuring robust therapeutic efficacy and patient safety for next-generation cell and exosome therapies.
基金supported by the Scientific Grant Agency of the Ministry of Education,Science,Research and Sport of the Slovak Republic and the Slovak Academy of Sciences(No.1/0725/23)the Cross-border Co-operation Programme INTERREG V-A SK-CZ/2018/06(No.NFP 304011P714),INTERREG V-A SK-CZ/2020/12(No.NFP304010AYX7)and INTERREG VI-A SK-CZ/2023/4(No.NFP403401DXF4)co-financed by the European Regional Development Fund.
摘要Although much research has been devoted to gait analysis while walking or running,a surprising gap in knowledge is its relationship with upper body function,particularly core stability.The methods used to train and assess athletic locomotion are mainly focused on the lower limbs,while the upper body is often overlooked.Yet,proper body alignment from feet to head is essential for applying maximum force to the ground,thereby moving faster and more efficiently.It is believed that the core,which connects the upper and lower body,should be strong.The training of many athletes is therefore aimed at developing core muscle strength.However,for most of them,rigid core musculature associated with reduced spinal mobility may not be beneficial.Instead,core strength should be developed to the extent that allows race walkers and runners to optimize their performance.Accordingly,methods reflecting the functional nature of core strength,along with measures of postural alignment and lateral lumbopelvic stability,should be used to assess training effectiveness.To this end,a comprehensive head-to-toe approach to the assessment of athletic locomotion is recommended.Special emphasis should be placed on the role of postural and core stability in walking and running gait.
基金funded by the Key Research Project forHigher Education Institutions ofHenan Province,grant number 25A520023.
摘要Incomplete multimodal sentiment analysis has attracted increasing research interest in recent years.Existing methods attempt to recover missing modalities through generative reconstruction and text-enhanced fusion,but these approaches may be limited in preserving sentiment-relevant information and fully leveraging complementary and hierarchical cross-modal interactions,particularly under noisy or incomplete conditions.To address these challenges,we propose TC-DSC,a text-centric hierarchical dual-stream interaction framework for incomplete multimodal sentiment analysis.Rather than reconstructing raw signals,TC-DSC performs semantic alignment and consistency modeling in the feature space through structured interactions between a text-centric stream and auxiliary audio-visual streams.A multi-scale enhanced encoder is designed to improve the robustness of non-text modalities under noisy conditions.Furthermore,a hierarchical proxy layer enables bidirectional interaction,with the text modality serving as a semantic anchor to guide cross-modal alignment.A semantic distillation strategy is also incorporated to facilitate knowledge transfer in the feature space under modality missing.Extensive experiments on MOSI,MOSEI,and SIMS demonstrate that TC-DSC achieves competitive performance and consistent improvements under both complete and incomplete settings.
基金support from the National Institutes of Technology(R21EB030257,R01EB028143,R01HL153857,R01HL166522,R01CA282451,R56EB034702)National Science Foundation(CBET-EBMS-1936105,CISE-IIS-2225698)+1 种基金Chan Zuckerberg Initiative(2022316712,2024-347836)the Brigham Research Institute.
摘要In this study,we present the development of a cryobioink designed to fabricate anisotropic scaffolds that support both neural and muscle cell-alignment.Given the critical role of cellular organization in nerve fibers and neuromuscular junctions,we employed a vertical cryobioprinting-enabled ice-templating technique to create scaffolds with aligned microchannels.These channels facilitated cell-alignment,which is important in modeling neural and neuromuscular tissues.By integrating hyaluronic acid-methacrylate(HAMA)with gelatin methacryloyl and the necessary cryoprotective agent melezitose,we showcased that the cryobioink could preserve cell viability during freezinghawing processes,even at low temperatures employed during cryobioprinting.We optimized HAMA concentration to enhance neural cell viability and alignment,and successfully constructed anisotropic scaffolds featuring distinct sections that contained muscle and neural cells,establishing a model for neuromuscular junctions.The resulting models provide a versatile platform for studying nerve fibers and neuromuscular dysfunctions,offering potential advancements in neural regeneration research.