Glucose,ascorbic acid(AA),uric acid(UA),and dopamine(DA)are vital biomarkers whose dynamic concentrations correlate with critical diseases;however,multiplexed detection remains challenging for conventional electrochem...Glucose,ascorbic acid(AA),uric acid(UA),and dopamine(DA)are vital biomarkers whose dynamic concentrations correlate with critical diseases;however,multiplexed detection remains challenging for conventional electrochemical sensors because of their limited sensitivity and selectivity.Here,we present a millimeter-scale all-poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)(PEDOT:PSS)organic electrochemical transistor(OECT)platform that integrates dual-mode sensing with enzyme/metal-free operation for ultrasensitive biomarker monitoring.By engineering polycrystalline PEDOT:PSS channels via H_2 SO_4 post-treatment,the device achieves record-high conductivity(about(2312.0±29.9)S·cm–1),maximum transconductance(about(2.82±0.12)mS),and on/off ratio(about 210.0±7.8),enabling signal amplification at low gate voltages.The dual-mode strategy combines the selectivity of electrochemistry with the sensitivity of OECTs,realizing simultaneous detection of glucose,AA,UA,and DA with clinical-level sensitivity:detection limits down to 8 nmol·L–1(glucose),0.5 nmol·L–1(AA),5 nmol·L–1(DA),and 0.5 nmol·L–1(UA).Validation using human urine samples yielded recovery rates of 94%–114%.This flexible sensing platform provides a new pathway for the development of wearable biosensors for precision diagnostics.展开更多
FeMnSi-based shape memory alloys(SMAs)have great applied potential to large-scale structures in civil engineering,especially as an aseismic structural material.Low-cycle fatigue performance is one of the most importan...FeMnSi-based shape memory alloys(SMAs)have great applied potential to large-scale structures in civil engineering,especially as an aseismic structural material.Low-cycle fatigue performance is one of the most important properties of FeMnSi-based SMA aseismic materials.However,the low-cycle fatigue behavior of such SMAs,especially the stress-controlled low-cycle fatigue behavior(with ratchetting effect),has not been clearly understood.In this work,the low-cycle fatigue behavior of the FeMnSiCrNi SMAs subjected to stress-controlled cyclic tension–compression loads is investigated,and the effects of temperature,loading frequency,stress amplitude,and stress ratio are addressed.By analyzing the cyclic stress–strain response,fatigue fracture surface morphology,dissipation energy,ratchetting strain,and equivalent damping ratio,the mechanisms behind the temperature-,loading frequency-,stress amplitude-,and stress ratio-dependent low-cycle fatigue behavior are discussed.The results show that the plasticity,martensitic transformation,and/or the ratchetting strain caused by their tension–compression asymmetry are the decisive factors affecting the low-cycle fatigue behavior of FeMnSiCrNi SMAs.展开更多
Shape memory polymers used in 4D printing only had one permanent shape after molding,which limited their applications in requiring multiple reconstructions and multifunctional shapes.Furthermore,the inherent stability...Shape memory polymers used in 4D printing only had one permanent shape after molding,which limited their applications in requiring multiple reconstructions and multifunctional shapes.Furthermore,the inherent stability of the triazine ring structure within cyanate ester(CE)crosslinked networks after molding posed significant challenges for both recycling,repairing,and degradation of resin.To address these obstacles,dynamic thiocyanate ester(TCE)bonds and photocurable group were incorporated into CE,obtaining the recyclable and 3D printable CE covalent adaptable networks(CANs),denoted as PTCE1.5.This material exhibits a Young's modulus of 810 MPa and a tensile strength of 50.8 MPa.Notably,damaged printed PTCE1.5 objects can be readily repaired through reprinting and interface rejoining by thermal treatment.Leveraging the solid-state plasticity,PTCE1.5 also demonstrated attractive shape memory ability and permanent shape reconfigurability,enabling its reconfigurable 4D printing.The printed PTCE1.5 hinges and a main body were assembled into a deployable and retractable satellite model,validating its potential application as a controllable component in the aerospace field.Moreover,printed PTCE1.5 can be fully degraded into thiol-modified intermediate products.Overall,this material not only enriches the application range of CE resin,but also provides a reliable approach to addressing environmental issue.展开更多
The development of bio-inspired neural systems has emerged as a transformative approach to overcome the limitations of von Neumann architecture,replicating the remarkable energy efficiency and unified sensory-processi...The development of bio-inspired neural systems has emerged as a transformative approach to overcome the limitations of von Neumann architecture,replicating the remarkable energy efficiency and unified sensory-processing capabilities of biological neurons.In this work,we present a monolithic neuromorphic platform utilizing cascaded single-walled carbon nanotube thin-film transistors(SWCNT TFTs)that integrate Mini-light-emitting diodes(Mini-LEDs)with optoelectronic synaptic transistors,achieving synergistic optoelectronic integration.The SWCNT TFTs exhibit dual functionality:(1)as highly stable active-matrix drivers(>1000 operational cycles)enabling precise Mini-LED grayscale modulation,and(2)as efficient optoelectronic synaptic devices.Fabricated at wafer-scale with micrometer feature sizes,these devices demonstrate exceptional performance metrics,including low operating voltages(±1 V),high on/off ratios(106),near-ideal subthreshold swing(78 mV·dec-1),and precise Mini-LED current regulation(10-8A-10-4A)under 25 Hz pulsed gate operation.The optoelectronic synaptic devices based on organic-semiconductor heterojunction formed between poly(3,3”’-didodecyl quaterthiophene)(PQT-12)and semiconducting SWCNTs enable broadband photoresponses(365 nm-710 nm)through efficient charge transport,driven by TFT-controlled Mini-LED pulses.The implemented bio-inspired visual system successfully emulates fundamental synaptic functionalities,exhibiting excitatory postsynaptic currents(EPSC),short-term potentiation(STP),and long-term potentiation(LTP).Notably,we demonstrate system-level functionality through a five-layer convolutional neural network,achieving 92.02%accuracy on MNIST classification,while the monolithic integration establishes a biomimetic closed-loop“electrical-optical-electrical”pathway that faithfully simulates complete biological synaptic operation.This pioneering cascade of electronic,photonic,and optoelectronic components represents a significant advancement toward high-density,energy-efficient neuromorphic computing.展开更多
Flexible electronics enabled by high-performance thin-film transistors(TFTs)have attracted considerable interest because of their ultrathin form factors,mechanical compliance,and compatibility with large-area manufact...Flexible electronics enabled by high-performance thin-film transistors(TFTs)have attracted considerable interest because of their ultrathin form factors,mechanical compliance,and compatibility with large-area manufacturing[1].For precise health monitoring,multimodal flexible sensing requires flexible systems capable of powerful multi-channel,in situ data processing to support real-time and effective detection.However,currently available flexible central processing units(CPUs),although compatible with mature instruction-set architectures and general-purpose programmability,remain limited in energy efficiency,circuit scalability,and computing parallelism[2,3].展开更多
This study offers a comprehensive analysis of the rejuvenation and memory effects observed during temperature cycling in five-component Weeks-Chandler-Andersen(WCA)systems,utilizing molecular dynamics simulations.We i...This study offers a comprehensive analysis of the rejuvenation and memory effects observed during temperature cycling in five-component Weeks-Chandler-Andersen(WCA)systems,utilizing molecular dynamics simulations.We investigate the molecular mechanisms driving these effects from a free volume perspective.Our findings reveal that dynamical processes and structural evolution at varying temperatures operate independently across multiple spatiotemporal scales,thereby highlighting a distinct decoupling of multiscale dynamics within glassy systems.Notably,while the total free volume remains constant over time,a pronounced peak in large free volume is observed during the second stage of temperature cycling.This peak is intricately linked to the aggregation of free volume,a key factor facilitating rejuvenation dynamics.Furthermore,our analysis shows that free volume aggregation primarily occurs in localized regions,which corresponds to the activation of secondary potential wells within the energy landscape.Critically,this process develops independently of large-scale structural changes,thus preserving the system’s memory effects.By emphasizing the crucial role of free volume in the emergence of marginally stable phases and rejuvenation phenomena,this study advances the theoretical understanding of non-equilibrium dynamics and provides valuable molecular insights into the complex physical behaviors inherent to glassy states.展开更多
Introduction.With the rapid development of transformer-based large language models(LLMs)and deep neural networks(DNNs),the demand for both high computational throughput and massive memory capacity has grown exponentia...Introduction.With the rapid development of transformer-based large language models(LLMs)and deep neural networks(DNNs),the demand for both high computational throughput and massive memory capacity has grown exponentially[1-4].In response,the 2D/3D hybrid integration of computing-centric computing-in-memory(CIM)and memory-centric in-ear-memory computing(INMC)circuits has emerged as a transformative technology.Unlike conventional von Neumann architectures,these memory-computing hybrid designs offer systematic advantages including high energy efficiency,high memory bandwidth,and sufficient on-device memory capacity[1-13].展开更多
With the continuous scaling of ferroelectric memories to below 5 nm,material and integration challenges that were previously manageable are now becoming increasingly prominent[1].At atomic thicknesses,conventional fer...With the continuous scaling of ferroelectric memories to below 5 nm,material and integration challenges that were previously manageable are now becoming increasingly prominent[1].At atomic thicknesses,conventional ferroelectric oxides suffer from depolarization fields,interfacial charge trapping and structural non-uniformity,leading to rapid performance degradation and poor device-to-device consistency[2].These issues have become a critical bottleneck for ferroelectric field-effect transistors(FeFETs),which are widely regarded as promising building blocks for low-power embedded non-volatile memory and computing-in-memory architectures[3-5].展开更多
Near-infrared(NIR)light-responsive shape memory polymers(SMPs)show great promise for biomedical applications,but conventional photothermal agents suffer from high cost,complex preparation,or poor biocompatibility,whil...Near-infrared(NIR)light-responsive shape memory polymers(SMPs)show great promise for biomedical applications,but conventional photothermal agents suffer from high cost,complex preparation,or poor biocompatibility,while lignin-based alternatives exhibit insufficient photothermal conversion efficiency.Herein,we developed a novel strategy to enhance photothermal performance of lignin through sequential demethylation modification and Fe3+complexation for constructing NIR light responsive SMPs.Dealkaline lignin(DL)was first demethylated using iodocyclohexane to produce demethylated lignin(DDL)with increased catechol content,which was then incorporated into polycaprolactone-based polyurethane synthesis followed by Fe3+complexation.Results showed that DDL-Fe3+complexes have significantly enhanced photothermal conversion performance,and the resulting PU-DDL+Fe3+polyurethane with 0.5 wt%DDL content demonstrated a temperature increases of 39.8℃under 0.33 W·cm-2808 nm NIR irradiation.This excellent photothermal performance enables the shape-fixed PU-DDL+Fe3+polyurethane to rapidly recover to its initial shape under NIR light irradiation.Additionally,PU-DDL+Fe3+polyurethane exhibits good mechanical properties and biocompatibility,demonstrating significant biomedical application potential.展开更多
We study the performance of high-dimensional superdense coding(HD-SDC)over an amplitude damping(AD)channel with memory and propose a protocol that leverages partial measurement and its reversal to enhance the channel ...We study the performance of high-dimensional superdense coding(HD-SDC)over an amplitude damping(AD)channel with memory and propose a protocol that leverages partial measurement and its reversal to enhance the channel capacity.By considering a two-qutrit system,we model the memory AD noise using a convex mixture of memoryless and perfectly memory AD channels.We demonstrate that the memory effect alone can mitigate the decay of the SDC capacity under noise.More significantly,we show that the application of partial measurement before the channel and its reversal after the channel can not only recover the capacity degraded by noise but,for certain non-maximally entangled initial states,even amplify it beyond the initial capacity.This amplification effect is governed by three key factors:the ground-state probability in the initial entangled state,the memory strength,and the partial measurement strength.Our results provide a practical strategy for enhancing quantum communication protocols in realistic noisy environments and highlight the synergistic benefits of memory noise and measurement-based control.展开更多
The edge deployment of artificial intelligence has driven the exploitation of compact,energy-efficient information processing systems that integrate sensing,memory,and multi-task processing functions.However,conventio...The edge deployment of artificial intelligence has driven the exploitation of compact,energy-efficient information processing systems that integrate sensing,memory,and multi-task processing functions.However,conventional vision systems suffer from significant energyime overhead,extra hardware costs,and an unaffordable algorithm.Herein,we demonstrate an in-sensor computing system employing reconfigurable optoelectronic transistors(ROETs)for multi-task learning.These transistors exhibit reconfigurable volatile and nonvolatile characteristics under both optical and electrical stimuli.Capitalizing on this reconfigurability,we establish an in-sensor reservoir computing(RC)system operating in multi-signal modes:volatile dynamics function as the reservoir,whereas nonvolatile properties configure the readout layer.The abundant optoelectronic reservoir states display exceptional feature separability and prolonged stability in the ambient atmosphere.Such a reliable RC system successfully achieves multi-task processing of images.Notably,under the optoelectronic coordination mode,it effectively alleviates feature degradation while sustaining consistently high recognition accuracy.Furthermore,the system exhibits remarkable dynamic information processing capabilities,achieving recognition accuracies of 89.02%for dynamic gestures and 96.04%for moving vehicles recognition,respectively.Supplemental functionalities,including light adaptation and image sharpening,are also implemented.This work presents a configurable multimodal platform featuring a flexible in-sensor reservoir computing architecture,providing a potential solution for efficient multi-task processing.展开更多
The spin field-effect transistor(SFET)based on ferroelectric Rashba semiconductor(FRS)has a shorter channel length than ordinary transistors,making it an important type of future transistor.Through high-throughput inv...The spin field-effect transistor(SFET)based on ferroelectric Rashba semiconductor(FRS)has a shorter channel length than ordinary transistors,making it an important type of future transistor.Through high-throughput inverse design,AlBi and SiPb monolayers are considered to be very promising FRSs due to their prominent Rashba effect,the thinnest atomic structure,and surmountable energy barriers.Herein,we employ first-principles calculations to systematically investigate the modulation of Rashba effect,electric field response,and ferroelectricity in AlBi and SiPb monolayers.The large Rashba coefficients of 2.717 and 2.606 eV·Åare obtained for AlBi and SiPb monolayers,while they can be efficiently modulated by the external electric field and strain engineering.The electric field response of AlBi oscillates around 0.5 e·Å2and that of SiPb can reach 0.78 e·Å2,which can fully meet the requirements of practical applications.Furthermore,as typical two-dimensional ferroelectric materials,the coupling effect between ferroelectric polarization and spin polarization is also explored.Based on these investigations,we design two types of SFET with AlBi or SiPb monolayer as the channel.The SFET designed solely based on the electric field response without considering the ferroelectricity,has a channel length ranging from 70 nm to 100 nm.The SFET designed based on the ferroelectricity can reduce the channel length to below 2 nm,which is quite below the tolerance of coherent transport in semiconductors.Thus,two-dimensional(2D)FRS can be considered as a promising candidate material for the next generation of SFETs.展开更多
Objective:Chronic cerebral hypoperfusion(CCH)can cause long-term changes in gene expression and increase susceptibility to spatial memory impairment,in which the histone acetylation plays a crucial role.Studies have f...Objective:Chronic cerebral hypoperfusion(CCH)can cause long-term changes in gene expression and increase susceptibility to spatial memory impairment,in which the histone acetylation plays a crucial role.Studies have found that electroacupuncture(EA),a non-drug therapy,is beneficial to alleviate spatial memory impairment.However,the underlying mechanism of the histone acetylation is not yet completely clear.The goal of this study was to investigate the mechanisms by which EA stimulation of acupoints on the head region ameliorates histone acetylation in CCH.Methods:The spatial memory of CCH rats were evaluated before and after the EA intervention using two behavioral tests:Barnes maze(before EA treatment)and Morris water maze(after EA treatment).To further investigate the mechanism by which EA improves spatial memory,Western blotting,real-time reverse transcription-quantitative polymerase chain reaction(RT-qPCR),chromatin immunoprecipitation(ChIP),Golgi staining,and neuroelectrophysiology were used.Furthermore,we used Adeno-associated virus vector expressing cyclic AMP response element-binding protein(CBP)/E1A binding protein p300(P300)-specific short hairpin RNAs(sh CBP/P300)to inhibit the acetylation levels of histones H3 and H4 in the hippocampus.Results:CCH rats showed changes in spatial memory,including a decline in acquisition and maintenance.Compared to the sham group,there were significantly lower levels of total histone acetylation in the CCH rats and the acetylation levels of histone H3 and H4 in the hippocampus of rats decreased in the CCH group.The ChIP experiment results showed that the enrichment of acetylation tags of histone 3 at lysine 9 occurred at the promoter sites of Finkel–Biskis–Jinkins osteosarcoma oncogene(c-Fos),early growth response 1(Egr1),and activity-regulated cytoskeleton-associated protein(Arc).Western blotting and RT-qPCR detection showed that the transcriptional and expression level of c-Fos and Egr1 decreased.Golgi staining showed that the density of dendritic spines decreased in the hippocampal cornu ammonis 1 area.In contrast,with the EA intervention,the behavior performance and molecular biological indexes were improved.Furthermore,we observed a significant decrease in the histone H3 and H4 acetylation after inhibition of CBP/P300 expression with sh CBP/P300,which resulted in the abrogation of EA's beneficial effect.Conclusion:EA can improve spatial memory impairment in CHH rats by regulating the expression of the hippocampal imprinted genes c-Fos and Egr1 and by enhancing synaptic plasticity through the epigenetic modification of histone H3 and H4 acetylation.展开更多
Working memory(WM)temporarily holds and processes information,with its precision decreasing as load increases.Although retro-cues enhance WM precision by focusing attention on relevant items,neural mechanisms driving ...Working memory(WM)temporarily holds and processes information,with its precision decreasing as load increases.Although retro-cues enhance WM precision by focusing attention on relevant items,neural mechanisms driving this effect across varying loads remain unclear.We recorded electroencephalography(EEG)signals during two experiments where participants performed a retrospective-cue WM task under low and high loads.We found that retro-cues significantly enhanced recall precision and sped response times,with larger precision benefits under high load.Alpha(8-12 Hz)activity showed load-dependent attentional modulation during retention,including later delayed desynchronization(ERD)and prolonged lateralization modulation index(MI)under higher load.Under high load,the retro-cues caused slower theta frequency,suggesting phase coding mechanisms in WM.Inverted encoding model(IEM)results revealed more precise mnemonic representation under low load,supporting less noise and more refined encoding.These findings highlight WM adaptive nature,flexibly adjusting to changing cognitive demands through dynamic attentional control.展开更多
One of the main challenges of current metal-oxide-semiconductor field effect transistors(MOSFETs)is the exponential increase in the tunneling(and leakage-)current through the gate dielectric material while shrinking t...One of the main challenges of current metal-oxide-semiconductor field effect transistors(MOSFETs)is the exponential increase in the tunneling(and leakage-)current through the gate dielectric material while shrinking the gate dielectric material thickness.Over the last two decades,many researchers have attempted to find an alternative material for the gate dielectric of transistors that has the advantages of the current silicon oxide gate dielectric of MOSFETs but without its disadvantages.In the search for an excellent gate dielectric,researchers have compared the key electrical parameters with those of current gate dielectric materials.They applied equations,approaches,and relationships for their evaluations and estimations,which may be incomplete relationships and most likely did not lead to the correct evaluation probability.Among the cases,the great importance is the relationship with the leakage-current from the gate dielectric layer in organic field-effect transistors(OFETs)or thin-film transistors(TFTs).In these discussions and evaluations based on the conventional leakage-current relationship,interactions related to particle exchange and pinch-up displacement in the charge carrier transport channel,particularly the overlap of the wave functions of electrons(or holes)in the channel and at the interface layers,have not been considered.The novelty and specific objectives of the present work are:modifying the Hamiltonian operators based on self-energy(Σ),the retarded Green's function(GR),creation(C+)/annihilation(C)operators,and the overlapping wave functions of the charge carriers in the gate and substrate systems;obtaining a more complete leakage-current density(J)relationship than the existing relationships;and comparing the electrical characteristics measurement results of five small molecule polymers:PEIE(0.8 nA/cm2),Ps(1 nA/cm2),PFS(2 nA/cm2),ph(4 nA/cm2),PMMA(20 nA/cm2)with previously reported findings.The obtained results can be highly useful for optimizing organic thin-film transistor formulations for potential use in next-generation nanoelectronic devices with lower energy consumption.展开更多
An on-site earthquake early warning model utilizing a long short-term memory(LSTM)neural network is proposed,diverging from traditional methods by focusing on acceleration response spectrum Sa,the ground motion intens...An on-site earthquake early warning model utilizing a long short-term memory(LSTM)neural network is proposed,diverging from traditional methods by focusing on acceleration response spectrum Sa,the ground motion intensity measure correlated with structural responses.A three-channel acceleration waveform is taken as the model input,and an acceleration response spectrum serves as output.The model is trained using strong motion acceleration data acquired from Japan's K-NET network.On the test set,the mean squared error(MSE)of the predictions yielded by the proposed model decreases as the input time window increases.In the temporal window spanning from 1-10 s,an MSE reduction of 72.35%is observed.The MSE is 1.92×10-4g 10 s after the P-wave is triggered.When subjected to generalization testing with cross-regional and cross-instrument-type Chinese intensity meter data,the model still exhibits the same trend as that observed on the test set.The MSE decreases by 74.16%10 s after the P-wave is triggered(compared to the value obtained 1 s after the P-wave is triggered).The MSE is 1.93×10-4g 10 s after the P-wave is triggered in the cross-domain dataset.The results demonstrate that the proposed model exhibits good generalization performance.展开更多
In the published article,there was an error in Fig.5.Incorrect images for Fig.5B and Fig.5H were inadvertently uploaded.The corrected version of Fig.5 is provided below.
Metabolic memory,defined as the persistent cellular and molecular alterations induced by transient metabolic perturbations(e.g.,high-fat/high-fructose diets)even after metabolic normalization,has emerged as a critical...Metabolic memory,defined as the persistent cellular and molecular alterations induced by transient metabolic perturbations(e.g.,high-fat/high-fructose diets)even after metabolic normalization,has emerged as a critical driver of chronic metabolic diseases,including obesity.Recent evidence highlights the gut as a key mediator of metabolic memory,where gut microbiota dysbiosis and subsequent epigenetic modifications establish long-lasting functional changes that predispose individuals to obesity and hinder treatment responses.This review summarizes the intricate interplay between gut-related metabolic memory and obesity:Transient exposure to obesogenic diets triggers sustained shifts in gut microbiota composition-such as the enrichment of Odoribacter(a source of histone deacetylase inhibitor butyrate,whose dosage governs beneficial versus deleterious effects)-even after the restoration of a normal diet.Butyrate,as a key microbial metabolite,modulates epigenetic marks(e.g.,DNA methylation and histone acetylation)in intestinal epithelial cells,immune cells,and hepatocytes,perpetuating pro-inflammatory signaling,dysregulated lipid metabolism,and impaired gut barrier function.These persistent alterations,rooted in metabolic memory,promote systemic insulin resistance,adiposity accumulation,and chronic low-grade inflammation,which are hallmarks of obesity.Additionally,maternal obesogenic diets transmit metabolic memory to offspring via gut microbiotaepigenetic crosstalk,increasing intergenerational obesity susceptibility.For obesity treatment,targeting gut-related metabolic memory offers promising strategies:Early dietary interventions to prevent the establishment of detrimental microbiota-epigenetic signatures,microbiota modulation(e.g.,probiotics targeting Odoribacter homeostasis),and epigenetic modifiers(e.g.,butyrate analogs or histone deacetylase inhibitors)to reverse persistent epigenetic alterations.Understanding the gut-metabolic memory axis provides new insights into obesity pathogenesis and underscores the need for time-sensitive,microbiota-epigenetic targeted therapies to break the cycle of metabolic memory-driven obesity.展开更多
GABAA receptors containingα5-subunits(GABAAR-α5)cluster at both extrasynaptic and synaptic locations,interacting with the scaffold proteins radixin and gephyrin,respectively,and the re-localization of GABA_(A...GABAA receptors containingα5-subunits(GABAAR-α5)cluster at both extrasynaptic and synaptic locations,interacting with the scaffold proteins radixin and gephyrin,respectively,and the re-localization of GABAAR-α5 influences GABAergic transmission.Here,we found that when early spatial memory deficits occurred in aged mice at 24 h after sevoflurane anesthesia,there was a re-localization of GABAAR-α5 that enhanced tonic inhibition and reduced the decay kinetics of miniature inhibitory postsynaptic currents in the hippocampal CA1 region.Mechanistically,increased phosphorylation of radixin at threonine 564(Thr564)mediates the re-localization of GABAAR-α5.Acute treatment with the selective extrasynaptic GABAAR-α5 antagonist S44819 restored the GABAAR-α5-mediated inhibitory currents by reversing radixin phosphorylation-dependent GABAAR-α5 re-localization,then improved the sevoflurane-induced spatial memory impairment in aged mice.Our results suggest that the localization of GABAAR-α5 altered by sevoflurane is linked to unbalanced GABAergic transmission,which induces early memory impairment in aged mice.Modulating the GABAAR-α5 localization might be a novel strategy to improve memory after sevoflurane exposure.展开更多
As individual demands for thermal–moisture comfort continue to increase alongside the high energy consumption issues associated with traditional heating and cooling systems and the urgent need for low-carbon energy c...As individual demands for thermal–moisture comfort continue to increase alongside the high energy consumption issues associated with traditional heating and cooling systems and the urgent need for low-carbon energy conservation,the development of shape memory smart fabrics capable of responding to environmental changes has become a research hotspot.However,existing shape memory thermal–moisture management fabrics currently face key issues such as excessively high response temperatures,inadequate response performance,and,consequently,the need for improved thermal–moisture management performance.In this work,a dual-network shape memory polymer(SMP)was prepared,and its shape memory temperature was adjusted to approach the thermal comfort range of the human body.The polymer fibers were made into shape memory fiber artificial muscles using twisted-coiled processing to increase reversible strain.Woven with wool into plain fabric,it has adaptive thermal–moisture management capabilities,with up to 17.5%warp reversible strain.At high temperatures,it contracts(air permeability of 1546 mm/s and thermal conductivity of 0.0518 W/(m K)),whereas at low temperatures,it elongates(air permeability of 1322 mm/s and thermal conductivity of 0.0426 W/(m K)),realizing“warm when cool and cool when hot”capabilities.Compared with commercial wool fabrics,this fabric can lower the skin microenvironment temperature by 1.5℃ and has an energy savings potential of approximately 222.58 MJ/m2 per year in capital cities,such as Beijing.This fabric offers a new technical pathway and design approach for future personalized comfort and low-carbon,energy-saving solutions.展开更多
基金financially supported by the National Natural Science Foundation of China(Nos.52272214,52372082,52466013,52373184,and U24A20660)Jiangxi Provincial Natural Science Foundation(Nos.20242BAB26059,20232BAB204032,20252BAC200290,20252BEJ730349,and 20252BAC240326)Doctoral Start-Up Fund of Jiangxi Science&Technology Normal University(No.2024BSQD16)。
摘要Glucose,ascorbic acid(AA),uric acid(UA),and dopamine(DA)are vital biomarkers whose dynamic concentrations correlate with critical diseases;however,multiplexed detection remains challenging for conventional electrochemical sensors because of their limited sensitivity and selectivity.Here,we present a millimeter-scale all-poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)(PEDOT:PSS)organic electrochemical transistor(OECT)platform that integrates dual-mode sensing with enzyme/metal-free operation for ultrasensitive biomarker monitoring.By engineering polycrystalline PEDOT:PSS channels via H_2 SO_4 post-treatment,the device achieves record-high conductivity(about(2312.0±29.9)S·cm–1),maximum transconductance(about(2.82±0.12)mS),and on/off ratio(about 210.0±7.8),enabling signal amplification at low gate voltages.The dual-mode strategy combines the selectivity of electrochemistry with the sensitivity of OECTs,realizing simultaneous detection of glucose,AA,UA,and DA with clinical-level sensitivity:detection limits down to 8 nmol·L–1(glucose),0.5 nmol·L–1(AA),5 nmol·L–1(DA),and 0.5 nmol·L–1(UA).Validation using human urine samples yielded recovery rates of 94%–114%.This flexible sensing platform provides a new pathway for the development of wearable biosensors for precision diagnostics.
基金The National Natural Science Foundation of China(12202294)the Sichuan Science and Technology Program(2024NSFSC1346)are acknowledged.
摘要FeMnSi-based shape memory alloys(SMAs)have great applied potential to large-scale structures in civil engineering,especially as an aseismic structural material.Low-cycle fatigue performance is one of the most important properties of FeMnSi-based SMA aseismic materials.However,the low-cycle fatigue behavior of such SMAs,especially the stress-controlled low-cycle fatigue behavior(with ratchetting effect),has not been clearly understood.In this work,the low-cycle fatigue behavior of the FeMnSiCrNi SMAs subjected to stress-controlled cyclic tension–compression loads is investigated,and the effects of temperature,loading frequency,stress amplitude,and stress ratio are addressed.By analyzing the cyclic stress–strain response,fatigue fracture surface morphology,dissipation energy,ratchetting strain,and equivalent damping ratio,the mechanisms behind the temperature-,loading frequency-,stress amplitude-,and stress ratio-dependent low-cycle fatigue behavior are discussed.The results show that the plasticity,martensitic transformation,and/or the ratchetting strain caused by their tension–compression asymmetry are the decisive factors affecting the low-cycle fatigue behavior of FeMnSiCrNi SMAs.
基金supported by the National Natural Science Foundation of China(Nos.52473080,52403167 and 52173079)the Fundamental Research Funds for the Central Universities(Nos.xtr052023001 and xzy012023037)+1 种基金the Postdoctoral Research Project of Shaanxi Province(No.2024BSHSDZZ054)the Shaanxi Laboratory of Advanced Materials(No.2024ZY-JCYJ-04-12).
摘要Shape memory polymers used in 4D printing only had one permanent shape after molding,which limited their applications in requiring multiple reconstructions and multifunctional shapes.Furthermore,the inherent stability of the triazine ring structure within cyanate ester(CE)crosslinked networks after molding posed significant challenges for both recycling,repairing,and degradation of resin.To address these obstacles,dynamic thiocyanate ester(TCE)bonds and photocurable group were incorporated into CE,obtaining the recyclable and 3D printable CE covalent adaptable networks(CANs),denoted as PTCE1.5.This material exhibits a Young's modulus of 810 MPa and a tensile strength of 50.8 MPa.Notably,damaged printed PTCE1.5 objects can be readily repaired through reprinting and interface rejoining by thermal treatment.Leveraging the solid-state plasticity,PTCE1.5 also demonstrated attractive shape memory ability and permanent shape reconfigurability,enabling its reconfigurable 4D printing.The printed PTCE1.5 hinges and a main body were assembled into a deployable and retractable satellite model,validating its potential application as a controllable component in the aerospace field.Moreover,printed PTCE1.5 can be fully degraded into thiol-modified intermediate products.Overall,this material not only enriches the application range of CE resin,but also provides a reliable approach to addressing environmental issue.
基金supported by the Natural Science Foundation of China(62274174)National Key Research and Development Program of China(2020YFA0714700)+2 种基金Basic Research Program of Jiangsu(BK20232009)a fellowship from the China Postdoctoral Science Foundation(2023M742559)the Cooperation Project of Vacuum Interconnect Research Facility(NANO-X)of Suzhou Institute of Nano-Tech and Nano-Bionics,Chinese Academy of Sciences(F2208)。
摘要The development of bio-inspired neural systems has emerged as a transformative approach to overcome the limitations of von Neumann architecture,replicating the remarkable energy efficiency and unified sensory-processing capabilities of biological neurons.In this work,we present a monolithic neuromorphic platform utilizing cascaded single-walled carbon nanotube thin-film transistors(SWCNT TFTs)that integrate Mini-light-emitting diodes(Mini-LEDs)with optoelectronic synaptic transistors,achieving synergistic optoelectronic integration.The SWCNT TFTs exhibit dual functionality:(1)as highly stable active-matrix drivers(>1000 operational cycles)enabling precise Mini-LED grayscale modulation,and(2)as efficient optoelectronic synaptic devices.Fabricated at wafer-scale with micrometer feature sizes,these devices demonstrate exceptional performance metrics,including low operating voltages(±1 V),high on/off ratios(106),near-ideal subthreshold swing(78 mV·dec-1),and precise Mini-LED current regulation(10-8A-10-4A)under 25 Hz pulsed gate operation.The optoelectronic synaptic devices based on organic-semiconductor heterojunction formed between poly(3,3”’-didodecyl quaterthiophene)(PQT-12)and semiconducting SWCNTs enable broadband photoresponses(365 nm-710 nm)through efficient charge transport,driven by TFT-controlled Mini-LED pulses.The implemented bio-inspired visual system successfully emulates fundamental synaptic functionalities,exhibiting excitatory postsynaptic currents(EPSC),short-term potentiation(STP),and long-term potentiation(LTP).Notably,we demonstrate system-level functionality through a five-layer convolutional neural network,achieving 92.02%accuracy on MNIST classification,while the monolithic integration establishes a biomimetic closed-loop“electrical-optical-electrical”pathway that faithfully simulates complete biological synaptic operation.This pioneering cascade of electronic,photonic,and optoelectronic components represents a significant advancement toward high-density,energy-efficient neuromorphic computing.
摘要Flexible electronics enabled by high-performance thin-film transistors(TFTs)have attracted considerable interest because of their ultrathin form factors,mechanical compliance,and compatibility with large-area manufacturing[1].For precise health monitoring,multimodal flexible sensing requires flexible systems capable of powerful multi-channel,in situ data processing to support real-time and effective detection.However,currently available flexible central processing units(CPUs),although compatible with mature instruction-set architectures and general-purpose programmability,remain limited in energy efficiency,circuit scalability,and computing parallelism[2,3].
基金supported by the National Natural Science Foundation of China(No.22341304)the National Key R&D Program of China(Nos.2020YFA0713601 and 2023YFA1008800)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDC0180303)。
摘要This study offers a comprehensive analysis of the rejuvenation and memory effects observed during temperature cycling in five-component Weeks-Chandler-Andersen(WCA)systems,utilizing molecular dynamics simulations.We investigate the molecular mechanisms driving these effects from a free volume perspective.Our findings reveal that dynamical processes and structural evolution at varying temperatures operate independently across multiple spatiotemporal scales,thereby highlighting a distinct decoupling of multiscale dynamics within glassy systems.Notably,while the total free volume remains constant over time,a pronounced peak in large free volume is observed during the second stage of temperature cycling.This peak is intricately linked to the aggregation of free volume,a key factor facilitating rejuvenation dynamics.Furthermore,our analysis shows that free volume aggregation primarily occurs in localized regions,which corresponds to the activation of secondary potential wells within the energy landscape.Critically,this process develops independently of large-scale structural changes,thus preserving the system’s memory effects.By emphasizing the crucial role of free volume in the emergence of marginally stable phases and rejuvenation phenomena,this study advances the theoretical understanding of non-equilibrium dynamics and provides valuable molecular insights into the complex physical behaviors inherent to glassy states.
基金supported by NSFC grant 62522403,92264203,92464202,and 92464302the Fundamental Research Funds for the Central Universities。
摘要Introduction.With the rapid development of transformer-based large language models(LLMs)and deep neural networks(DNNs),the demand for both high computational throughput and massive memory capacity has grown exponentially[1-4].In response,the 2D/3D hybrid integration of computing-centric computing-in-memory(CIM)and memory-centric in-ear-memory computing(INMC)circuits has emerged as a transformative technology.Unlike conventional von Neumann architectures,these memory-computing hybrid designs offer systematic advantages including high energy efficiency,high memory bandwidth,and sufficient on-device memory capacity[1-13].
基金financial support from the Beijing Natural Science Foundation-Xiaomi Innovation Joint Fund(L233009)。
摘要With the continuous scaling of ferroelectric memories to below 5 nm,material and integration challenges that were previously manageable are now becoming increasingly prominent[1].At atomic thicknesses,conventional ferroelectric oxides suffer from depolarization fields,interfacial charge trapping and structural non-uniformity,leading to rapid performance degradation and poor device-to-device consistency[2].These issues have become a critical bottleneck for ferroelectric field-effect transistors(FeFETs),which are widely regarded as promising building blocks for low-power embedded non-volatile memory and computing-in-memory architectures[3-5].
基金supported by the National Natural Science Foundation of China(Nos.51603005,52403186 and 52573150)Fujian Provincial Natural Science Foundation of China(No.2024J011447)+1 种基金Natural Science Foundation of Xiamen,China(No.3502Z20227305)the Postdoctoral Fellowship Program of CPSF(No.GZC20240095)。
摘要Near-infrared(NIR)light-responsive shape memory polymers(SMPs)show great promise for biomedical applications,but conventional photothermal agents suffer from high cost,complex preparation,or poor biocompatibility,while lignin-based alternatives exhibit insufficient photothermal conversion efficiency.Herein,we developed a novel strategy to enhance photothermal performance of lignin through sequential demethylation modification and Fe3+complexation for constructing NIR light responsive SMPs.Dealkaline lignin(DL)was first demethylated using iodocyclohexane to produce demethylated lignin(DDL)with increased catechol content,which was then incorporated into polycaprolactone-based polyurethane synthesis followed by Fe3+complexation.Results showed that DDL-Fe3+complexes have significantly enhanced photothermal conversion performance,and the resulting PU-DDL+Fe3+polyurethane with 0.5 wt%DDL content demonstrated a temperature increases of 39.8℃under 0.33 W·cm-2808 nm NIR irradiation.This excellent photothermal performance enables the shape-fixed PU-DDL+Fe3+polyurethane to rapidly recover to its initial shape under NIR light irradiation.Additionally,PU-DDL+Fe3+polyurethane exhibits good mechanical properties and biocompatibility,demonstrating significant biomedical application potential.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.12265004 and 12534020)the Natural Science Foundation of Jiangxi Province(Grant No.20242BAB26010)+3 种基金the National Natural Science Foundation of China(Grant Nos.12565001 and 12205054)the Natural Science Foundation of Jiangxi Province(Grant No.20252BAC200163)the National Natural Science Foundation of China(Grant No.12365003)the Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control of China(Grant No.2024SSY03161)。
摘要We study the performance of high-dimensional superdense coding(HD-SDC)over an amplitude damping(AD)channel with memory and propose a protocol that leverages partial measurement and its reversal to enhance the channel capacity.By considering a two-qutrit system,we model the memory AD noise using a convex mixture of memoryless and perfectly memory AD channels.We demonstrate that the memory effect alone can mitigate the decay of the SDC capacity under noise.More significantly,we show that the application of partial measurement before the channel and its reversal after the channel can not only recover the capacity degraded by noise but,for certain non-maximally entangled initial states,even amplify it beyond the initial capacity.This amplification effect is governed by three key factors:the ground-state probability in the initial entangled state,the memory strength,and the partial measurement strength.Our results provide a practical strategy for enhancing quantum communication protocols in realistic noisy environments and highlight the synergistic benefits of memory noise and measurement-based control.
基金financially supported by the National Natural Science Foundation of China(Grant Nos.52202156 and 52303306)the support from Anhui Project(Grant No.Z010118169)+3 种基金The University Synergy Innovation Program of Anhui Province(Grant No.GXXT-2022-012)Key Natural Science Research Projects in Colleges and Universities in Anhui Province(Grant No.KJ2021A1088)Scientific Research Project of Colleges and Universities in Anhui Province(Grant No.2022AH050113)Postdoctoral Daily Public Start-Up Funds of Anhui University(Grant No.S202418001/069)。
摘要The edge deployment of artificial intelligence has driven the exploitation of compact,energy-efficient information processing systems that integrate sensing,memory,and multi-task processing functions.However,conventional vision systems suffer from significant energyime overhead,extra hardware costs,and an unaffordable algorithm.Herein,we demonstrate an in-sensor computing system employing reconfigurable optoelectronic transistors(ROETs)for multi-task learning.These transistors exhibit reconfigurable volatile and nonvolatile characteristics under both optical and electrical stimuli.Capitalizing on this reconfigurability,we establish an in-sensor reservoir computing(RC)system operating in multi-signal modes:volatile dynamics function as the reservoir,whereas nonvolatile properties configure the readout layer.The abundant optoelectronic reservoir states display exceptional feature separability and prolonged stability in the ambient atmosphere.Such a reliable RC system successfully achieves multi-task processing of images.Notably,under the optoelectronic coordination mode,it effectively alleviates feature degradation while sustaining consistently high recognition accuracy.Furthermore,the system exhibits remarkable dynamic information processing capabilities,achieving recognition accuracies of 89.02%for dynamic gestures and 96.04%for moving vehicles recognition,respectively.Supplemental functionalities,including light adaptation and image sharpening,are also implemented.This work presents a configurable multimodal platform featuring a flexible in-sensor reservoir computing architecture,providing a potential solution for efficient multi-task processing.
基金supported by the Natural Science Foundation of Henan Province(No.252300421054)the National Natural Science Foundation of China(No.61874160)。
摘要The spin field-effect transistor(SFET)based on ferroelectric Rashba semiconductor(FRS)has a shorter channel length than ordinary transistors,making it an important type of future transistor.Through high-throughput inverse design,AlBi and SiPb monolayers are considered to be very promising FRSs due to their prominent Rashba effect,the thinnest atomic structure,and surmountable energy barriers.Herein,we employ first-principles calculations to systematically investigate the modulation of Rashba effect,electric field response,and ferroelectricity in AlBi and SiPb monolayers.The large Rashba coefficients of 2.717 and 2.606 eV·Åare obtained for AlBi and SiPb monolayers,while they can be efficiently modulated by the external electric field and strain engineering.The electric field response of AlBi oscillates around 0.5 e·Å2and that of SiPb can reach 0.78 e·Å2,which can fully meet the requirements of practical applications.Furthermore,as typical two-dimensional ferroelectric materials,the coupling effect between ferroelectric polarization and spin polarization is also explored.Based on these investigations,we design two types of SFET with AlBi or SiPb monolayer as the channel.The SFET designed solely based on the electric field response without considering the ferroelectricity,has a channel length ranging from 70 nm to 100 nm.The SFET designed based on the ferroelectricity can reduce the channel length to below 2 nm,which is quite below the tolerance of coherent transport in semiconductors.Thus,two-dimensional(2D)FRS can be considered as a promising candidate material for the next generation of SFETs.
基金supported by the National Natural Science Foundation of China(No.82174478)Science Fund for Distinguished Young Scholars of Fujian Province(No.2021J06028)。
摘要Objective:Chronic cerebral hypoperfusion(CCH)can cause long-term changes in gene expression and increase susceptibility to spatial memory impairment,in which the histone acetylation plays a crucial role.Studies have found that electroacupuncture(EA),a non-drug therapy,is beneficial to alleviate spatial memory impairment.However,the underlying mechanism of the histone acetylation is not yet completely clear.The goal of this study was to investigate the mechanisms by which EA stimulation of acupoints on the head region ameliorates histone acetylation in CCH.Methods:The spatial memory of CCH rats were evaluated before and after the EA intervention using two behavioral tests:Barnes maze(before EA treatment)and Morris water maze(after EA treatment).To further investigate the mechanism by which EA improves spatial memory,Western blotting,real-time reverse transcription-quantitative polymerase chain reaction(RT-qPCR),chromatin immunoprecipitation(ChIP),Golgi staining,and neuroelectrophysiology were used.Furthermore,we used Adeno-associated virus vector expressing cyclic AMP response element-binding protein(CBP)/E1A binding protein p300(P300)-specific short hairpin RNAs(sh CBP/P300)to inhibit the acetylation levels of histones H3 and H4 in the hippocampus.Results:CCH rats showed changes in spatial memory,including a decline in acquisition and maintenance.Compared to the sham group,there were significantly lower levels of total histone acetylation in the CCH rats and the acetylation levels of histone H3 and H4 in the hippocampus of rats decreased in the CCH group.The ChIP experiment results showed that the enrichment of acetylation tags of histone 3 at lysine 9 occurred at the promoter sites of Finkel–Biskis–Jinkins osteosarcoma oncogene(c-Fos),early growth response 1(Egr1),and activity-regulated cytoskeleton-associated protein(Arc).Western blotting and RT-qPCR detection showed that the transcriptional and expression level of c-Fos and Egr1 decreased.Golgi staining showed that the density of dendritic spines decreased in the hippocampal cornu ammonis 1 area.In contrast,with the EA intervention,the behavior performance and molecular biological indexes were improved.Furthermore,we observed a significant decrease in the histone H3 and H4 acetylation after inhibition of CBP/P300 expression with sh CBP/P300,which resulted in the abrogation of EA's beneficial effect.Conclusion:EA can improve spatial memory impairment in CHH rats by regulating the expression of the hippocampal imprinted genes c-Fos and Egr1 and by enhancing synaptic plasticity through the epigenetic modification of histone H3 and H4 acetylation.
基金supported by the National Natural Science Foundation of China(32400863 and 32271094)the Open Research Fund of the State Key Laboratory of Brain-Machine Intelligence,Zhejiang University(BMI2400006).
摘要Working memory(WM)temporarily holds and processes information,with its precision decreasing as load increases.Although retro-cues enhance WM precision by focusing attention on relevant items,neural mechanisms driving this effect across varying loads remain unclear.We recorded electroencephalography(EEG)signals during two experiments where participants performed a retrospective-cue WM task under low and high loads.We found that retro-cues significantly enhanced recall precision and sped response times,with larger precision benefits under high load.Alpha(8-12 Hz)activity showed load-dependent attentional modulation during retention,including later delayed desynchronization(ERD)and prolonged lateralization modulation index(MI)under higher load.Under high load,the retro-cues caused slower theta frequency,suggesting phase coding mechanisms in WM.Inverted encoding model(IEM)results revealed more precise mnemonic representation under low load,supporting less noise and more refined encoding.These findings highlight WM adaptive nature,flexibly adjusting to changing cognitive demands through dynamic attentional control.
基金Project(4027203)supported by the Iran National Science Foundation(INSF)。
摘要One of the main challenges of current metal-oxide-semiconductor field effect transistors(MOSFETs)is the exponential increase in the tunneling(and leakage-)current through the gate dielectric material while shrinking the gate dielectric material thickness.Over the last two decades,many researchers have attempted to find an alternative material for the gate dielectric of transistors that has the advantages of the current silicon oxide gate dielectric of MOSFETs but without its disadvantages.In the search for an excellent gate dielectric,researchers have compared the key electrical parameters with those of current gate dielectric materials.They applied equations,approaches,and relationships for their evaluations and estimations,which may be incomplete relationships and most likely did not lead to the correct evaluation probability.Among the cases,the great importance is the relationship with the leakage-current from the gate dielectric layer in organic field-effect transistors(OFETs)or thin-film transistors(TFTs).In these discussions and evaluations based on the conventional leakage-current relationship,interactions related to particle exchange and pinch-up displacement in the charge carrier transport channel,particularly the overlap of the wave functions of electrons(or holes)in the channel and at the interface layers,have not been considered.The novelty and specific objectives of the present work are:modifying the Hamiltonian operators based on self-energy(Σ),the retarded Green's function(GR),creation(C+)/annihilation(C)operators,and the overlapping wave functions of the charge carriers in the gate and substrate systems;obtaining a more complete leakage-current density(J)relationship than the existing relationships;and comparing the electrical characteristics measurement results of five small molecule polymers:PEIE(0.8 nA/cm2),Ps(1 nA/cm2),PFS(2 nA/cm2),ph(4 nA/cm2),PMMA(20 nA/cm2)with previously reported findings.The obtained results can be highly useful for optimizing organic thin-film transistor formulations for potential use in next-generation nanoelectronic devices with lower energy consumption.
基金Scientific Research Fund of Institute of Engineering Mechanics,China Earthquake Administration under Grant No.2024C05National Natural Science Foundation of China under Grant Nos.42304074 and 51408564。
摘要An on-site earthquake early warning model utilizing a long short-term memory(LSTM)neural network is proposed,diverging from traditional methods by focusing on acceleration response spectrum Sa,the ground motion intensity measure correlated with structural responses.A three-channel acceleration waveform is taken as the model input,and an acceleration response spectrum serves as output.The model is trained using strong motion acceleration data acquired from Japan's K-NET network.On the test set,the mean squared error(MSE)of the predictions yielded by the proposed model decreases as the input time window increases.In the temporal window spanning from 1-10 s,an MSE reduction of 72.35%is observed.The MSE is 1.92×10-4g 10 s after the P-wave is triggered.When subjected to generalization testing with cross-regional and cross-instrument-type Chinese intensity meter data,the model still exhibits the same trend as that observed on the test set.The MSE decreases by 74.16%10 s after the P-wave is triggered(compared to the value obtained 1 s after the P-wave is triggered).The MSE is 1.93×10-4g 10 s after the P-wave is triggered in the cross-domain dataset.The results demonstrate that the proposed model exhibits good generalization performance.
摘要In the published article,there was an error in Fig.5.Incorrect images for Fig.5B and Fig.5H were inadvertently uploaded.The corrected version of Fig.5 is provided below.
基金Supported by National Natural Science Foundation of China,No.82305376the Youth Talent Support Project of the China Acupuncture and Moxibustion Association,No.2024-2026ZGZJXH-QNRC005+1 种基金2024 Jiangsu Province Youth Science and Technology Talent Support Project,No.JSTJ-2024-380Talent Cultivation Program for Young Researchers,Key Laboratory of the Ministry of Education Project,No.zyqt202501 and No.zyqt202503.
摘要Metabolic memory,defined as the persistent cellular and molecular alterations induced by transient metabolic perturbations(e.g.,high-fat/high-fructose diets)even after metabolic normalization,has emerged as a critical driver of chronic metabolic diseases,including obesity.Recent evidence highlights the gut as a key mediator of metabolic memory,where gut microbiota dysbiosis and subsequent epigenetic modifications establish long-lasting functional changes that predispose individuals to obesity and hinder treatment responses.This review summarizes the intricate interplay between gut-related metabolic memory and obesity:Transient exposure to obesogenic diets triggers sustained shifts in gut microbiota composition-such as the enrichment of Odoribacter(a source of histone deacetylase inhibitor butyrate,whose dosage governs beneficial versus deleterious effects)-even after the restoration of a normal diet.Butyrate,as a key microbial metabolite,modulates epigenetic marks(e.g.,DNA methylation and histone acetylation)in intestinal epithelial cells,immune cells,and hepatocytes,perpetuating pro-inflammatory signaling,dysregulated lipid metabolism,and impaired gut barrier function.These persistent alterations,rooted in metabolic memory,promote systemic insulin resistance,adiposity accumulation,and chronic low-grade inflammation,which are hallmarks of obesity.Additionally,maternal obesogenic diets transmit metabolic memory to offspring via gut microbiotaepigenetic crosstalk,increasing intergenerational obesity susceptibility.For obesity treatment,targeting gut-related metabolic memory offers promising strategies:Early dietary interventions to prevent the establishment of detrimental microbiota-epigenetic signatures,microbiota modulation(e.g.,probiotics targeting Odoribacter homeostasis),and epigenetic modifiers(e.g.,butyrate analogs or histone deacetylase inhibitors)to reverse persistent epigenetic alterations.Understanding the gut-metabolic memory axis provides new insights into obesity pathogenesis and underscores the need for time-sensitive,microbiota-epigenetic targeted therapies to break the cycle of metabolic memory-driven obesity.
基金supported by the Tianjin Scientific Research Start-up Foundation for Talent Introduction(2021-1-10)the 14th Five-Year Plan Peak Discipline Support Plan of Tianjin Medical University Cancer Institute and Hospital(7-2-13)+3 种基金National Natural Science Foundation of China(82171221),Beijing Bethune Charitable Foundation(YXJL-2024-0778-0030)Beijing Science and Technology Innovation Medical Development Foundation(KC2024-JF-0069)Tianjin Medical University Postgraduate Education Reform Research Program(TMUYY02)Tianjin Key Medical Discipline(Specialty)Construction(TJYXZDXK-009A).
摘要GABAA receptors containingα5-subunits(GABAAR-α5)cluster at both extrasynaptic and synaptic locations,interacting with the scaffold proteins radixin and gephyrin,respectively,and the re-localization of GABAAR-α5 influences GABAergic transmission.Here,we found that when early spatial memory deficits occurred in aged mice at 24 h after sevoflurane anesthesia,there was a re-localization of GABAAR-α5 that enhanced tonic inhibition and reduced the decay kinetics of miniature inhibitory postsynaptic currents in the hippocampal CA1 region.Mechanistically,increased phosphorylation of radixin at threonine 564(Thr564)mediates the re-localization of GABAAR-α5.Acute treatment with the selective extrasynaptic GABAAR-α5 antagonist S44819 restored the GABAAR-α5-mediated inhibitory currents by reversing radixin phosphorylation-dependent GABAAR-α5 re-localization,then improved the sevoflurane-induced spatial memory impairment in aged mice.Our results suggest that the localization of GABAAR-α5 altered by sevoflurane is linked to unbalanced GABAergic transmission,which induces early memory impairment in aged mice.Modulating the GABAAR-α5 localization might be a novel strategy to improve memory after sevoflurane exposure.
基金supported by the National Natural Science Foundation of China(52103066)Young Talent Fund of Association for Science and Technology in Shaanxi,China(20230430)Scientific Research Program funded by Shaanxi Provincial Education Department(25JP073)。
摘要As individual demands for thermal–moisture comfort continue to increase alongside the high energy consumption issues associated with traditional heating and cooling systems and the urgent need for low-carbon energy conservation,the development of shape memory smart fabrics capable of responding to environmental changes has become a research hotspot.However,existing shape memory thermal–moisture management fabrics currently face key issues such as excessively high response temperatures,inadequate response performance,and,consequently,the need for improved thermal–moisture management performance.In this work,a dual-network shape memory polymer(SMP)was prepared,and its shape memory temperature was adjusted to approach the thermal comfort range of the human body.The polymer fibers were made into shape memory fiber artificial muscles using twisted-coiled processing to increase reversible strain.Woven with wool into plain fabric,it has adaptive thermal–moisture management capabilities,with up to 17.5%warp reversible strain.At high temperatures,it contracts(air permeability of 1546 mm/s and thermal conductivity of 0.0518 W/(m K)),whereas at low temperatures,it elongates(air permeability of 1322 mm/s and thermal conductivity of 0.0426 W/(m K)),realizing“warm when cool and cool when hot”capabilities.Compared with commercial wool fabrics,this fabric can lower the skin microenvironment temperature by 1.5℃ and has an energy savings potential of approximately 222.58 MJ/m2 per year in capital cities,such as Beijing.This fabric offers a new technical pathway and design approach for future personalized comfort and low-carbon,energy-saving solutions.