The rise of large-scale artificial intelligence(AI)models,such as ChatGPT,Deep-Seek,and autonomous vehicle systems,has significantly advanced the boundaries of AI,enabling highly complex tasks in natural language proc...The rise of large-scale artificial intelligence(AI)models,such as ChatGPT,Deep-Seek,and autonomous vehicle systems,has significantly advanced the boundaries of AI,enabling highly complex tasks in natural language processing,image recognition,and real-time decisionmaking.However,these models demand immense computational power and are often centralized,relying on cloud-based architectures with inherent limitations in latency,privacy,and energy efficiency.To address these challenges and bring AI closer to real-world applications,such as wearable health monitoring,robotics,and immersive virtual environments,innovative hardware solutions are urgently needed.This work introduces a near-sensor edge computing(NSEC)system,built on a bilayer AlN/Si waveguide platform,to provide real-time,energy-efficient AI capabilities at the edge.Leveraging the electro-optic properties of AlN microring resonators for photonic feature extraction,coupled with Si-based thermo-optic Mach-Zehnder interferometers for neural network computations,the system represents a transformative approach to AI hardware design.Demonstrated through multimodal gesture and gait analysis,the NSEC system achieves high classification accuracies of 96.77%for gestures and 98.31%for gaits,ultra-low latency(<10 ns),and minimal energy consumption(<0.34 pJ).This groundbreaking system bridges the gap between AI models and real-world applications,enabling efficient,privacy-preserving AI solutions for healthcare,robotics,and next-generation human-machine interfaces,marking a pivotal advancement in edge computing and AI deployment.展开更多
Metal phthalocyanine is considered one of the most promising candidates for the design and fabrication of flexible resistive random access memory(RRAM)devices due to its intrinsic flexibility and excellent functionali...Metal phthalocyanine is considered one of the most promising candidates for the design and fabrication of flexible resistive random access memory(RRAM)devices due to its intrinsic flexibility and excellent functionality.However,performance degradation and the lack of multi-level capability,which can directly expand the storage capacity in one memory cell without sacrificing additional layout area,are the primary obstacles to the use of metal phthalocyanine RRAMs in information storage.Here,a flexible RRAM with pristine nickel phthalocyanine(Ni Pc)as the resistive layer is reported for multi-level data storage.Due to its high trap-concentration,the charge transport behavior of the device agrees well with classical space charge limited conduction controlled by traps,leading to an excellent performance,including a high on-off current ratio of 10^(7),a long-term retention of 10^(6)s,a reproducible endurance over6000 cycles,long-term flexibility at a bending strain of 0.6%,a write speed of 50 ns under sequential bias pulses and the capability of multi-level data storage with reliable retention and uniformity.展开更多
250 million people worldwide continue to be chronically infected with the virus.While patients may be treated with nucleoside/nucleotide analogues,this only suppresses HBV titre to sub-detection levels without elimina...250 million people worldwide continue to be chronically infected with the virus.While patients may be treated with nucleoside/nucleotide analogues,this only suppresses HBV titre to sub-detection levels without eliminating the persistent HBV covalently closed circular DNA(cccDNA)genome.As a result,HBV infection cannot be cured,and the virus reactivates when conditions are favorable.Interferons(IFNs)are cytokines known to induce powerful antiviral mechanisms that clear viruses from infected cells.They have been shown to induce cccDNA clearance,but their use in the treatment of HBV infection is limited as HBVtargeting immune cells are exhausted and HBV has evolved multiple mechanisms to evade and suppress IFN signalling.Thus,to fully utilize IFN-mediated intracellular mechanisms to effectively eliminate HBV,instead of direct IFN administration,novel strategies to sustain IFN-mediated anti-cccDNA and antiviral mechanisms need to be developed.This review will consolidate what is known about how IFNs act to achieve its intracellular antiviral effects and highlight the critical interferon-stimulated gene targets and effector mechanisms with potent anti-cccDNA functions.These include cccDNA degradation by APOBECs and cccDNA silencing and transcription repression by epigenetic modifications.In addition,the mechanisms that HBV employs to disrupt IFN signalling will be discussed.Drugs that have been developed or are in the pipeline for components of the IFN signalling pathway and HBV targets that detract IFN signalling mechanisms will also be identified and discussed for utility in the treatment of HBV infections.Together,these will provide useful insights into design strategies that specifically target cccDNA for the eradication of HBV.展开更多
CD137 (TNFRSF9,4-1BB) is a member of the tumor necrosis factor (TNF) receptor family and a potent costimulatory molecule.High levels of CD137 are expressed on T cells upon activation.CD137 signaling in T cells,either ...CD137 (TNFRSF9,4-1BB) is a member of the tumor necrosis factor (TNF) receptor family and a potent costimulatory molecule.High levels of CD137 are expressed on T cells upon activation.CD137 signaling in T cells,either by cognate interaction with antigen-presenting cells (APC)or by agonistic anti-CD137 antibodies,strongly enhances proliferation,interferon-y secretion,and cytolytic activity of T cells.Thus,CD137 signaling is a main driver of cellular,type 1 helper T cells (Th1)and type 1 cytolytic T cells (Tc1) polarised immune responses.展开更多
Minimal photon fluxes(MINFLUX)nanoscopy has emerged as a transformative advancement in superresolution imaging,enabling unprecedented nanoscale observations across diverse biological scenarios.In this work,we propose,...Minimal photon fluxes(MINFLUX)nanoscopy has emerged as a transformative advancement in superresolution imaging,enabling unprecedented nanoscale observations across diverse biological scenarios.In this work,we propose,for the first time,that employing high-order vortex beams can significantly enhance the performance of MINFLUX,surpassing the limitations of the conventional MINFLUX using the first-order vortex beam.Our theoretical analysis indicates that,for standard MINFLUX,high-order vortex beams can improve the maximum localization precision by a factor corresponding to their order,which can approach a sub-nanometer scale under optimal conditions,and for raster scan MINFLUX,high-order vortex beams allow for a wider field of view while maintaining enhanced precision.These findings underscore the potential of high-order vortex beams to elevate the performance of MINFLUX,paving the way towards ultra-high resolution imaging for a broad range of applications.展开更多
Carrier-doped transition metal dichalcogenide(TMD)monolayers are of great interest in valleytronics due to the large Zeeman response(g-factors)in these spin-valley-locked materials,arising from many-body interactions....Carrier-doped transition metal dichalcogenide(TMD)monolayers are of great interest in valleytronics due to the large Zeeman response(g-factors)in these spin-valley-locked materials,arising from many-body interactions.We develop an ab initio approach based on many-body perturbation theory to compute the interaction-enhanced g-factors in carrier-doped materials.We show that the g-factors of doped WSe2 monolayers are enhanced by screened-exchange interactions resulting from magnetic-field-induced changes in band occupancies.Our interaction-enhanced g-factors g*agree well with experiment.Unlike traditional valleytronic materials such as silicon,the enhancement in g-factor vanishes beyond a critical magnetic field Bc achievable in standard laboratories.We identify ranges of g*for which this change in g-factor at Bc leads to a valley-filling instability and Landau level alignment,which is important for the study of quantum phase transitions in doped TMDs.We further demonstrate how to tune the g-factors and optimize the valley-polarization for the valley Hall effect.展开更多
Molecular diagnostic technologies empower new clinical opportunities in precision medicine.However,existing approaches face limitations with respect to performance,operation and cost.Biological molecules including pro...Molecular diagnostic technologies empower new clinical opportunities in precision medicine.However,existing approaches face limitations with respect to performance,operation and cost.Biological molecules including proteins and nucleic acids are being increasingly adopted as tools in the development of new molecular diagnostic technologies.In particular,leveraging their complementary properties—the functional diversity of proteins and the precision programmability of nucleic acids—a wide range of protein–nucleic acid hybrid nanostructures have been developed.These hybrid structures take diverse forms,ranging from one-dimensional to three-dimensional hybrids,as static assemblies to dynamic machines,and possess myriad functions to recognize target biomarkers,encode vast information and execute catalytic activities.Motivated by recent advances in this area of molecular nanotechnology,we review the state-of-art design and application of various types of protein–nucleic acid hybrid nanostructures for molecular diagnostics,and present an outlook on the challenges and opportunities for emerging pre-clinical and clinical applications,highlighting the promise for earlier detection,more refined diagnosis and highly tailored treatment decision that ultimately lead to improved patient outcomes.展开更多
Wireless and battery-free radio-frequency(RF)sensors can be used to create physical spaces that ambiently sense and respond to human activities.Making such sensors ultra-flexible and transparent is important to preser...Wireless and battery-free radio-frequency(RF)sensors can be used to create physical spaces that ambiently sense and respond to human activities.Making such sensors ultra-flexible and transparent is important to preserve the aesthetics of living environments,accommodate daily activities,and functionally integrate with objects.However,existing RF sensors are unable to simultaneously achieve high transparency,flexibility,and the electrical conductivity required for remote room-scale operation.Here,we report 4.5μm RF tag sensors achieving transparency exceeding 90%that provide capabilities in room-scale ambient wireless sensing.We develop a laser-assisted water-based adhesion-reversion process to digitally realize computer-aided RF design at scale.By individually tagging multiple objects and regions of the human body,we demonstrate multiplexed wireless tracking of humanenvironment interactions and physiological signals at a range of up to 8m.These radio-frequency identification sensors open opportunities for non-intrusive wireless sensing of daily living spaces for applications in health monitoring and elderly care.展开更多
Single-cell encapsulation in droplet microfluidics is commonly hindered by the tradeoff between cell suspension density and on-chip focusing performance.In this study,we introduce a novel droplet microfluidic chip to ...Single-cell encapsulation in droplet microfluidics is commonly hindered by the tradeoff between cell suspension density and on-chip focusing performance.In this study,we introduce a novel droplet microfluidic chip to overcome this challenge.The chip comprises a double spiral focusing unit,a flow resistance-based sample enrichment module with fine-tunable outlets,and a crossflow droplet generation unit.Utilizing a low-density cell/bead suspension(2×10^(6) objects/mL),cells/beads are focused into a near-equidistant linear arrangement within the double spiral microchannel.The excess water phase is diverted while cells/beads remain focused and sequentially encapsulated in individual droplets.Focusing performance was assessed through numerical simulations and experiments at three flow rates(40,60,80μL/min),demonstrating successful focusing at 40 and 80μL/min for beads and cells,respectively.In addition,both simulation and experimental results revealed that the flow resistance at the sample enrichment module is adjustable by punching different outlets,allowing over 50%of the aqueous phase to be removed.YOLOv8n-based droplet detection algorithms realized the counting of cells/beads in droplets,statistically demonstrating single-cell and bead encapsulation rates of 72.2%and 79.2%,respectively.All the results indicate that this on-chip sample enrichment approach can be further developed and employed as a critical component in single-cell encapsulation in water-in-oil droplets.展开更多
Water droplets help life in nature survive,thrive,and evolve.With water droplet serv-ing as one of the indispensable elements in the Internet of Things(IoT),many droplet-oriented technologies,such as microfluidics,dro...Water droplets help life in nature survive,thrive,and evolve.With water droplet serv-ing as one of the indispensable elements in the Internet of Things(IoT),many droplet-oriented technologies,such as microfluidics,droplet manipulation,electrowetting,and energy harvesting,make rapid progress driven by material science,computer science,and medicine.Droplet-based wearable devices are endowed with advantages such as flexibility,sensing ability,and automation for various parameter detection.Besides,the continuous exploration of droplet manipulation has led to the emergence of a wide variety of manipulation methods.Meanwhile,electrowetting that utilizes exter-nal fields modifying liquid–solid surfaces has found its applications in various areas,including droplet transportation,microfabrication,and healthcare.The energy gener-ation from water droplets also presents exciting opportunities for the development of novel electricity generators.These approaches for droplet utilization underscore the immense potentials and versatilities of droplet-based technologies in the IoT land-scape.Hence,this mini review presents the fundamental droplet-based technologies by summarizing their working mechanisms and methods,device structures,and appli-cations.Given the challenges in materials,fabrication,and system integration,this review shows the overall development roadmap in terms of improved functionality and performance and highlights the opportunities toward multifunctional,self-sustainable,and intelligent systems,which is called for IoT construction.展开更多
Photonic neural network has been sought as an alternative solution to surpass the efficiency and speed bottlenecks of electronic neural network.Despite that the integrated Mach-Zehnder Interferometer(MZI)mesh can perf...Photonic neural network has been sought as an alternative solution to surpass the efficiency and speed bottlenecks of electronic neural network.Despite that the integrated Mach-Zehnder Interferometer(MZI)mesh can perform vector-matrix multiplication in photonic neural network,a programmable in-situ nonlinear activation function has not been proposed to date,suppressing further advancement of photonic neural network.Here,we demonstrate an efficient in-situ nonlinear accelerator comprising a unique solution-processed two-dimensional(2D)MoS2 Opto-Resistive RAM Switch(ORS),which exhibits tunable nonlinear resistance switching that allow us to introduce nonlinearity to the photonic neuron which overcomes the linear voltage-power relationship of typical photonic components.Our reconfigurable scheme enables implementation of a wide variety of nonlinear responses.Furthermore,we confirm its feasibility and capability for MNIST handwritten digit recognition,achieving a high accuracy of 91.6%.Our accelerator constitutes a major step towards the realization of in-situ photonic neural network and pave the way for the integration of photonic integrated circuits(PIC).展开更多
Generation of large strains upon Na^(+) intercalation is one of the prime concerns of the mechanical degradation of Prussian blue(PB)and its analogs.Structural construction from the atomic level is imperative to maint...Generation of large strains upon Na^(+) intercalation is one of the prime concerns of the mechanical degradation of Prussian blue(PB)and its analogs.Structural construction from the atomic level is imperative to maintain structural stability and ameliorate the long-term stability of PB.Herein,an inter nickel hexacyanoferrate(NNiFCN)is successfully introduced at the out layer of iron hexacyanoferrate(NFFCN)through ion exchange to improve structural stability through compressive stress locking by forming NNiFCN shell.Furthermore,the kinetics of sodium ion diffusion is enhanced through the built-in electric pathway.The electrochemical performance is therefore significantly improved with a remarkable long-term cycling stability over 3,000 cycles at 500 mA·g^(–1) in the full sodium-ion batteries(SIBs)with a maximum energy density of 91.94 Wh·g^(–1),indicating that the core-shell structured NNiFCN/NFFCN could be the low-cost and high-performance cathode for full SIBs in large-scale EES applications.展开更多
Wound healing is a dynamic process that involves a series of molecular and cellular events aimed at replacing devitalized and missing cellular components and/or tissue layers.Recently,extracellular vesicles(EVs),natur...Wound healing is a dynamic process that involves a series of molecular and cellular events aimed at replacing devitalized and missing cellular components and/or tissue layers.Recently,extracellular vesicles(EVs),naturally cell-secreted lipid membrane-bound vesicles laden with biological cargos including proteins,lipids,and nucleic acids,have drawn wide attention due to their ability to promote wound healing and tissue regeneration.However,current exploitation of EVs as therapeutic agents is limited by their low isolation yields and tedious isolation processes.To circumvent these challenges,bioinspired cell-derived nanovesicles(CDNs)that mimic EVs were obtained by shearing mesenchymal stem cells(MSCs)through membranes with different pore sizes.Physical characterisations and highthroughput proteomics confirmed that MSC-CDNs mimicked MSC-EVs.Moreover,these MSC-CDNs were efficiently uptaken by human dermal fibroblasts and demonstrated a dose-dependent activation of MAPK signalling pathway,resulting in enhancement of cell proliferation,cell migration,secretion of growth factors and extracellular matrix proteins,which all promoted tissue regeneration.Of note,MSC-CDNs enhanced angiogenesis in human dermal microvascular endothelial cells in a 3D PEGfibrin scaffold and animal model,accelerating wound healing in vitro and in vivo.These findings suggest that MSC-CDNs could replace both whole cells and EVs in promoting wound healing and tissue regeneration.展开更多
Metamaterials have proven their ability to possess extraordinary physical properties distinct from naturally available materials,leading to exciting sensing functionalities and applications.However,metamaterial-based ...Metamaterials have proven their ability to possess extraordinary physical properties distinct from naturally available materials,leading to exciting sensing functionalities and applications.However,metamaterial-based sensing applications suffer from severe performance limitations due to noise interference and design constraints.Here,we propose a dual-phase strategy that leverages loss-induced different Fano-resonant phases to access both destructive and constructive signals of molecular vibration.When the two reverse signals are innovatively combined,the noise in the detection system is effectively suppressed,thereby breaking through the noise-related limitations.Additionally,by utilizing loss optimization of the plasmon-molecule coupling system,our dual-phase strategy enhances the efficiency of infrared energy transfer into the molecule without any additional fabrication complex,thereby overcoming the trade-off dilemma between performance and fabrication cost.Thanks to the pioneering breakthroughs in the limitations,our dual-phase strategy possesses an overwhelming competitive advantage in ultrasensitive vibrational spectroscopy over traditional metamaterial technology,including strong signal strength(×4),high sensitivity(×4.2),effective noise suppression(30%),low detection limit(13 ppm),and excellent selectivity among CO_(2),NH_(3),and CH_(4) mixtures.This work not only opens the door to various emerging ultrasensitive detection applications,including ultrasensitive in-breath diagnostics and high-information analysis of molecular information in dynamic reactions,but also gains new insights into the plasmon-molecule interactions in advanced metamaterials.展开更多
A bottleneck in Laser Powder Bed Fusion(L-PBF)metal additive manufacturing(AM)is the quality inconsistency of its products.To address this issue without costly experimentation,computational multi-physics modeling has ...A bottleneck in Laser Powder Bed Fusion(L-PBF)metal additive manufacturing(AM)is the quality inconsistency of its products.To address this issue without costly experimentation,computational multi-physics modeling has been used,but the effectiveness is limited by parameter uncertainties and their interactions.We propose a full factorial design and variable selection approach for the analytics of main and interaction effects arising from material parameter uncertainties in multi-physics models.Data is collected from high-fidelity thermal-fluid simulations based on a 2-level full factorial design for 5 selected material parameters.Crucial physical phenomena of the L-PBF process are analyzed to extract physics-based domain knowledge,which are used to establish a validation checkpoint for our study.Initial data visualization with half-normal probability plots,interaction plots and standard deviation plots,is used to assess if the checkpoint is being met.We then apply the combination of best subset selection and the LASSO method on multiple linear regression models for comprehensive variable selection.Analytics yield statistically and phyiscally validated findings with practical implications,emphasizing the importance of parameter interactions under uncertainty,and their relation to the underlying physics of L-PBF.展开更多
基金the National Research Foundation(NRF)Singapore mid-sized center grant(NRF-MSG-2023-0002)FrontierCRP grant(NRF-F-CRP-2024-0006)+2 种基金A*STAR Singapore MTC RIE2025 project(M24W1NS005)IAF-PP project(M23M5a0069)Ministry of Education(MOE)Singapore Tier 2 project(MOE-T2EP50220-0014).
文摘The rise of large-scale artificial intelligence(AI)models,such as ChatGPT,Deep-Seek,and autonomous vehicle systems,has significantly advanced the boundaries of AI,enabling highly complex tasks in natural language processing,image recognition,and real-time decisionmaking.However,these models demand immense computational power and are often centralized,relying on cloud-based architectures with inherent limitations in latency,privacy,and energy efficiency.To address these challenges and bring AI closer to real-world applications,such as wearable health monitoring,robotics,and immersive virtual environments,innovative hardware solutions are urgently needed.This work introduces a near-sensor edge computing(NSEC)system,built on a bilayer AlN/Si waveguide platform,to provide real-time,energy-efficient AI capabilities at the edge.Leveraging the electro-optic properties of AlN microring resonators for photonic feature extraction,coupled with Si-based thermo-optic Mach-Zehnder interferometers for neural network computations,the system represents a transformative approach to AI hardware design.Demonstrated through multimodal gesture and gait analysis,the NSEC system achieves high classification accuracies of 96.77%for gestures and 98.31%for gaits,ultra-low latency(<10 ns),and minimal energy consumption(<0.34 pJ).This groundbreaking system bridges the gap between AI models and real-world applications,enabling efficient,privacy-preserving AI solutions for healthcare,robotics,and next-generation human-machine interfaces,marking a pivotal advancement in edge computing and AI deployment.
基金supported by National Natural Science Foundation of China(Nos.61574143,61704175,51502304)the Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDB30000000)+2 种基金the Key Research Program of Frontier Sciences of the Chinese Academy of Sciences(No.ZDBS-LY-JSC027)Liaoning Revitalization Talents Program(No.XLYC1807109)the National Key Research and Development Program of China(2016YFB0401104)。
文摘Metal phthalocyanine is considered one of the most promising candidates for the design and fabrication of flexible resistive random access memory(RRAM)devices due to its intrinsic flexibility and excellent functionality.However,performance degradation and the lack of multi-level capability,which can directly expand the storage capacity in one memory cell without sacrificing additional layout area,are the primary obstacles to the use of metal phthalocyanine RRAMs in information storage.Here,a flexible RRAM with pristine nickel phthalocyanine(Ni Pc)as the resistive layer is reported for multi-level data storage.Due to its high trap-concentration,the charge transport behavior of the device agrees well with classical space charge limited conduction controlled by traps,leading to an excellent performance,including a high on-off current ratio of 10^(7),a long-term retention of 10^(6)s,a reproducible endurance over6000 cycles,long-term flexibility at a bending strain of 0.6%,a write speed of 50 ns under sequential bias pulses and the capability of multi-level data storage with reliable retention and uniformity.
文摘250 million people worldwide continue to be chronically infected with the virus.While patients may be treated with nucleoside/nucleotide analogues,this only suppresses HBV titre to sub-detection levels without eliminating the persistent HBV covalently closed circular DNA(cccDNA)genome.As a result,HBV infection cannot be cured,and the virus reactivates when conditions are favorable.Interferons(IFNs)are cytokines known to induce powerful antiviral mechanisms that clear viruses from infected cells.They have been shown to induce cccDNA clearance,but their use in the treatment of HBV infection is limited as HBVtargeting immune cells are exhausted and HBV has evolved multiple mechanisms to evade and suppress IFN signalling.Thus,to fully utilize IFN-mediated intracellular mechanisms to effectively eliminate HBV,instead of direct IFN administration,novel strategies to sustain IFN-mediated anti-cccDNA and antiviral mechanisms need to be developed.This review will consolidate what is known about how IFNs act to achieve its intracellular antiviral effects and highlight the critical interferon-stimulated gene targets and effector mechanisms with potent anti-cccDNA functions.These include cccDNA degradation by APOBECs and cccDNA silencing and transcription repression by epigenetic modifications.In addition,the mechanisms that HBV employs to disrupt IFN signalling will be discussed.Drugs that have been developed or are in the pipeline for components of the IFN signalling pathway and HBV targets that detract IFN signalling mechanisms will also be identified and discussed for utility in the treatment of HBV infections.Together,these will provide useful insights into design strategies that specifically target cccDNA for the eradication of HBV.
文摘CD137 (TNFRSF9,4-1BB) is a member of the tumor necrosis factor (TNF) receptor family and a potent costimulatory molecule.High levels of CD137 are expressed on T cells upon activation.CD137 signaling in T cells,either by cognate interaction with antigen-presenting cells (APC)or by agonistic anti-CD137 antibodies,strongly enhances proliferation,interferon-y secretion,and cytolytic activity of T cells.Thus,CD137 signaling is a main driver of cellular,type 1 helper T cells (Th1)and type 1 cytolytic T cells (Tc1) polarised immune responses.
基金supported in part by the Academic Research Fund(AcRF)-Tier 2(A-8000117-01-00)and Tier 1(A-8003279-00-00)from the Ministry of Education(MOE)of Singapore,Science and Technology Project of Jiangsu Province(BZ2022056),NUS(Suzhou)Research Institute/Biomedical and Health Technology Platform,2024 Tsinghua-NUS Joint Research Initiative Fund(A-8002557-00-00)the National Medical Research Council(NMRC)(A-0009502-01-00,and A-8001143-00-00),Singapore.
文摘Minimal photon fluxes(MINFLUX)nanoscopy has emerged as a transformative advancement in superresolution imaging,enabling unprecedented nanoscale observations across diverse biological scenarios.In this work,we propose,for the first time,that employing high-order vortex beams can significantly enhance the performance of MINFLUX,surpassing the limitations of the conventional MINFLUX using the first-order vortex beam.Our theoretical analysis indicates that,for standard MINFLUX,high-order vortex beams can improve the maximum localization precision by a factor corresponding to their order,which can approach a sub-nanometer scale under optimal conditions,and for raster scan MINFLUX,high-order vortex beams allow for a wider field of view while maintaining enhanced precision.These findings underscore the potential of high-order vortex beams to elevate the performance of MINFLUX,paving the way towards ultra-high resolution imaging for a broad range of applications.
基金This work is supported by the NUS Provost’s Office,the Ministry of Education(MOE 2017-T2-2-139)the National Research Foundation(NRF),Singapore,under the NRF medium-sized center program.Calculations were performed on the computational cluster in the Centre for Advanced 2D Materials and the National Supercomputing Centre,Singapore.
文摘Carrier-doped transition metal dichalcogenide(TMD)monolayers are of great interest in valleytronics due to the large Zeeman response(g-factors)in these spin-valley-locked materials,arising from many-body interactions.We develop an ab initio approach based on many-body perturbation theory to compute the interaction-enhanced g-factors in carrier-doped materials.We show that the g-factors of doped WSe2 monolayers are enhanced by screened-exchange interactions resulting from magnetic-field-induced changes in band occupancies.Our interaction-enhanced g-factors g*agree well with experiment.Unlike traditional valleytronic materials such as silicon,the enhancement in g-factor vanishes beyond a critical magnetic field Bc achievable in standard laboratories.We identify ranges of g*for which this change in g-factor at Bc leads to a valley-filling instability and Landau level alignment,which is important for the study of quantum phase transitions in doped TMDs.We further demonstrate how to tune the g-factors and optimize the valley-polarization for the valley Hall effect.
基金supported in part by funding from National University of Singapore(NUS),NUS Research Scholarship,Ministry of Education,Institute for Health Innovation&Technology,Ministry of Education,National Research Foundation,and National Medical Research Council.
文摘Molecular diagnostic technologies empower new clinical opportunities in precision medicine.However,existing approaches face limitations with respect to performance,operation and cost.Biological molecules including proteins and nucleic acids are being increasingly adopted as tools in the development of new molecular diagnostic technologies.In particular,leveraging their complementary properties—the functional diversity of proteins and the precision programmability of nucleic acids—a wide range of protein–nucleic acid hybrid nanostructures have been developed.These hybrid structures take diverse forms,ranging from one-dimensional to three-dimensional hybrids,as static assemblies to dynamic machines,and possess myriad functions to recognize target biomarkers,encode vast information and execute catalytic activities.Motivated by recent advances in this area of molecular nanotechnology,we review the state-of-art design and application of various types of protein–nucleic acid hybrid nanostructures for molecular diagnostics,and present an outlook on the challenges and opportunities for emerging pre-clinical and clinical applications,highlighting the promise for earlier detection,more refined diagnosis and highly tailored treatment decision that ultimately lead to improved patient outcomes.
基金support from the National Institutes of Health(NIH)NIBIB Trailblazer Award(R21-EB029563)NIH R01 Award(R01-EB032959)+1 种基金Office of Naval Research Young Investigator Program Award(N00014-23-1-2391)CDMRP Discovery Award(HT9425-23-1-0041).
文摘Wireless and battery-free radio-frequency(RF)sensors can be used to create physical spaces that ambiently sense and respond to human activities.Making such sensors ultra-flexible and transparent is important to preserve the aesthetics of living environments,accommodate daily activities,and functionally integrate with objects.However,existing RF sensors are unable to simultaneously achieve high transparency,flexibility,and the electrical conductivity required for remote room-scale operation.Here,we report 4.5μm RF tag sensors achieving transparency exceeding 90%that provide capabilities in room-scale ambient wireless sensing.We develop a laser-assisted water-based adhesion-reversion process to digitally realize computer-aided RF design at scale.By individually tagging multiple objects and regions of the human body,we demonstrate multiplexed wireless tracking of humanenvironment interactions and physiological signals at a range of up to 8m.These radio-frequency identification sensors open opportunities for non-intrusive wireless sensing of daily living spaces for applications in health monitoring and elderly care.
文摘Single-cell encapsulation in droplet microfluidics is commonly hindered by the tradeoff between cell suspension density and on-chip focusing performance.In this study,we introduce a novel droplet microfluidic chip to overcome this challenge.The chip comprises a double spiral focusing unit,a flow resistance-based sample enrichment module with fine-tunable outlets,and a crossflow droplet generation unit.Utilizing a low-density cell/bead suspension(2×10^(6) objects/mL),cells/beads are focused into a near-equidistant linear arrangement within the double spiral microchannel.The excess water phase is diverted while cells/beads remain focused and sequentially encapsulated in individual droplets.Focusing performance was assessed through numerical simulations and experiments at three flow rates(40,60,80μL/min),demonstrating successful focusing at 40 and 80μL/min for beads and cells,respectively.In addition,both simulation and experimental results revealed that the flow resistance at the sample enrichment module is adjustable by punching different outlets,allowing over 50%of the aqueous phase to be removed.YOLOv8n-based droplet detection algorithms realized the counting of cells/beads in droplets,statistically demonstrating single-cell and bead encapsulation rates of 72.2%and 79.2%,respectively.All the results indicate that this on-chip sample enrichment approach can be further developed and employed as a critical component in single-cell encapsulation in water-in-oil droplets.
基金Funding information Agency for Science,Technology and Research(A*STAR),Grant/Award Number:A18A5b0056Reimagine Research Scheme(RRSC),Grant/Award Numbers:A-0009037-02-00,A0009037-03-00,A-0009454-01-00+1 种基金Advanced Research and Technology Innovation Centre(ARTIC),Grant/Award Number:A-0005947-20-00Ministry of Education(MOE),Grant/Award Number:A-0009520-01-00。
文摘Water droplets help life in nature survive,thrive,and evolve.With water droplet serv-ing as one of the indispensable elements in the Internet of Things(IoT),many droplet-oriented technologies,such as microfluidics,droplet manipulation,electrowetting,and energy harvesting,make rapid progress driven by material science,computer science,and medicine.Droplet-based wearable devices are endowed with advantages such as flexibility,sensing ability,and automation for various parameter detection.Besides,the continuous exploration of droplet manipulation has led to the emergence of a wide variety of manipulation methods.Meanwhile,electrowetting that utilizes exter-nal fields modifying liquid–solid surfaces has found its applications in various areas,including droplet transportation,microfabrication,and healthcare.The energy gener-ation from water droplets also presents exciting opportunities for the development of novel electricity generators.These approaches for droplet utilization underscore the immense potentials and versatilities of droplet-based technologies in the IoT land-scape.Hence,this mini review presents the fundamental droplet-based technologies by summarizing their working mechanisms and methods,device structures,and appli-cations.Given the challenges in materials,fabrication,and system integration,this review shows the overall development roadmap in terms of improved functionality and performance and highlights the opportunities toward multifunctional,self-sustainable,and intelligent systems,which is called for IoT construction.
基金This work is supported by Agency for Science,Technology and Research(A*STAR)Singapore National Research Foundation's Returning Singapore Scientist Scheme(NRF-RSS2015-003)+2 种基金Singapore under its AME Programmatic Funds(A1892b0026)National Research Foundation Grant RSS2015-003the Singapore Hybrid-Integrated Next-Generation u-Electronics(SHINE)Centre hosted at the National University of Singapore(NUS).
文摘Photonic neural network has been sought as an alternative solution to surpass the efficiency and speed bottlenecks of electronic neural network.Despite that the integrated Mach-Zehnder Interferometer(MZI)mesh can perform vector-matrix multiplication in photonic neural network,a programmable in-situ nonlinear activation function has not been proposed to date,suppressing further advancement of photonic neural network.Here,we demonstrate an efficient in-situ nonlinear accelerator comprising a unique solution-processed two-dimensional(2D)MoS2 Opto-Resistive RAM Switch(ORS),which exhibits tunable nonlinear resistance switching that allow us to introduce nonlinearity to the photonic neuron which overcomes the linear voltage-power relationship of typical photonic components.Our reconfigurable scheme enables implementation of a wide variety of nonlinear responses.Furthermore,we confirm its feasibility and capability for MNIST handwritten digit recognition,achieving a high accuracy of 91.6%.Our accelerator constitutes a major step towards the realization of in-situ photonic neural network and pave the way for the integration of photonic integrated circuits(PIC).
基金J.G.S.wants to thanks China Scholarship Council(CSC)for the scholarship support(No.201706050153)。
文摘Generation of large strains upon Na^(+) intercalation is one of the prime concerns of the mechanical degradation of Prussian blue(PB)and its analogs.Structural construction from the atomic level is imperative to maintain structural stability and ameliorate the long-term stability of PB.Herein,an inter nickel hexacyanoferrate(NNiFCN)is successfully introduced at the out layer of iron hexacyanoferrate(NFFCN)through ion exchange to improve structural stability through compressive stress locking by forming NNiFCN shell.Furthermore,the kinetics of sodium ion diffusion is enhanced through the built-in electric pathway.The electrochemical performance is therefore significantly improved with a remarkable long-term cycling stability over 3,000 cycles at 500 mA·g^(–1) in the full sodium-ion batteries(SIBs)with a maximum energy density of 91.94 Wh·g^(–1),indicating that the core-shell structured NNiFCN/NFFCN could be the low-cost and high-performance cathode for full SIBs in large-scale EES applications.
基金the National University of Singapore(Nano Nash Program A-0004336-00-00&A-000850400-00,Singapore)Nanyang Technological University,Singapore(grant number 001487-00001)+4 种基金the Industry Alignment Fund—Pre-Positioning(IAF-PP)grant(A20G1a0046 and R-148-000-307-305/A0004345-00-00)the Singapore Ministry of Education,under its Singapore Ministry of Education Academic Research Fund Tier 1(10051-MOE AcRF Tier 1:Thematic Call 2020)from Bertrand Czarnythe National University of Singapore Nano-NASH Program(NUHSRO/2020/002/Nano Nash/LOA)the National University of Singapore Yong Loo Lin School of Medicine Nanomedicine Translational Research Program(NUHSRO/2021/034/TRP/09/Nanomedicine)the financial supports from Agency for Science,Technology,and Research(A~*STAR,Singapore)Advanced Manufacturing and Engineering Individual Research Grant(AME IRG)(Project ID:A1883c0013,Singapore)。
文摘Wound healing is a dynamic process that involves a series of molecular and cellular events aimed at replacing devitalized and missing cellular components and/or tissue layers.Recently,extracellular vesicles(EVs),naturally cell-secreted lipid membrane-bound vesicles laden with biological cargos including proteins,lipids,and nucleic acids,have drawn wide attention due to their ability to promote wound healing and tissue regeneration.However,current exploitation of EVs as therapeutic agents is limited by their low isolation yields and tedious isolation processes.To circumvent these challenges,bioinspired cell-derived nanovesicles(CDNs)that mimic EVs were obtained by shearing mesenchymal stem cells(MSCs)through membranes with different pore sizes.Physical characterisations and highthroughput proteomics confirmed that MSC-CDNs mimicked MSC-EVs.Moreover,these MSC-CDNs were efficiently uptaken by human dermal fibroblasts and demonstrated a dose-dependent activation of MAPK signalling pathway,resulting in enhancement of cell proliferation,cell migration,secretion of growth factors and extracellular matrix proteins,which all promoted tissue regeneration.Of note,MSC-CDNs enhanced angiogenesis in human dermal microvascular endothelial cells in a 3D PEGfibrin scaffold and animal model,accelerating wound healing in vitro and in vivo.These findings suggest that MSC-CDNs could replace both whole cells and EVs in promoting wound healing and tissue regeneration.
基金National Key Research and Development Program of China,Grant/Award Number:2019YFB2004800Advanced Research and Technology Innovation Center(ARTIC)Project,Grant/Award Number:A-0005947-20-00+2 种基金National Natural Science Foundation of China,Grant/Award Number:52072041Ministry of Education(MOE)of Singapore Tier 1 grants,Grant/Award Number:A-0005138-01-00China Postdoctoral Science Foundation,Grant/Award Number:2021M693746。
文摘Metamaterials have proven their ability to possess extraordinary physical properties distinct from naturally available materials,leading to exciting sensing functionalities and applications.However,metamaterial-based sensing applications suffer from severe performance limitations due to noise interference and design constraints.Here,we propose a dual-phase strategy that leverages loss-induced different Fano-resonant phases to access both destructive and constructive signals of molecular vibration.When the two reverse signals are innovatively combined,the noise in the detection system is effectively suppressed,thereby breaking through the noise-related limitations.Additionally,by utilizing loss optimization of the plasmon-molecule coupling system,our dual-phase strategy enhances the efficiency of infrared energy transfer into the molecule without any additional fabrication complex,thereby overcoming the trade-off dilemma between performance and fabrication cost.Thanks to the pioneering breakthroughs in the limitations,our dual-phase strategy possesses an overwhelming competitive advantage in ultrasensitive vibrational spectroscopy over traditional metamaterial technology,including strong signal strength(×4),high sensitivity(×4.2),effective noise suppression(30%),low detection limit(13 ppm),and excellent selectivity among CO_(2),NH_(3),and CH_(4) mixtures.This work not only opens the door to various emerging ultrasensitive detection applications,including ultrasensitive in-breath diagnostics and high-information analysis of molecular information in dynamic reactions,but also gains new insights into the plasmon-molecule interactions in advanced metamaterials.
基金This research is supported by the Ministry of Education,Singapore,under its Academic Research Fund Tier 2(MOE-T2EP50121-0017).We would like to thank Assoc.Prof.Zhisheng Ye for his valuable advice and words of wisdom.Insightful discussions with Dr.Padmeya Indurkar and Prof.Goh Thong Ngee are also sincerely acknowledged.
文摘A bottleneck in Laser Powder Bed Fusion(L-PBF)metal additive manufacturing(AM)is the quality inconsistency of its products.To address this issue without costly experimentation,computational multi-physics modeling has been used,but the effectiveness is limited by parameter uncertainties and their interactions.We propose a full factorial design and variable selection approach for the analytics of main and interaction effects arising from material parameter uncertainties in multi-physics models.Data is collected from high-fidelity thermal-fluid simulations based on a 2-level full factorial design for 5 selected material parameters.Crucial physical phenomena of the L-PBF process are analyzed to extract physics-based domain knowledge,which are used to establish a validation checkpoint for our study.Initial data visualization with half-normal probability plots,interaction plots and standard deviation plots,is used to assess if the checkpoint is being met.We then apply the combination of best subset selection and the LASSO method on multiple linear regression models for comprehensive variable selection.Analytics yield statistically and phyiscally validated findings with practical implications,emphasizing the importance of parameter interactions under uncertainty,and their relation to the underlying physics of L-PBF.
