The most important optical component in an optical fiber endoscope is its objective lens.To achieve a high imaging performance level,the development of an ultra-compact objective lens is thus the key to an ultra-thin ...The most important optical component in an optical fiber endoscope is its objective lens.To achieve a high imaging performance level,the development of an ultra-compact objective lens is thus the key to an ultra-thin optical fiber endoscope.In this work,we use femtosecond laser 3D printing to develop a series of micro objective lenses with different optical designs.The imaging resolution and field-of-view performances of these printed micro objective lenses are investigated via both simulations and experiments.For the first time,multiple micro objective lenses with different fields of view are printed on the end face of a single imaging optical fiber,thus realizing the perfect integration of an optical fiber and objective lenses.This work demonstrates the considerable potential of femtosecond laser 3D printing in the fabrication of micro-optical systems and provides a reliable solution for the development of an ultrathin fiber endoscope.展开更多
Two-dimensional MXenes are key high-capacitance electrode materials for micro-supercapacitors(MSCs)catering to integrated microsystems.However,the narrow electrochemical voltage windows of conventional aqueous electro...Two-dimensional MXenes are key high-capacitance electrode materials for micro-supercapacitors(MSCs)catering to integrated microsystems.However,the narrow electrochemical voltage windows of conventional aqueous electrolytes(≤1.23 V)and symmetric MXene MSCs(typically≤0.6 V)substantially limit their output voltage and energy density.Highly concentrated aqueous electrolytes exhibit lower water molecule activity,which inhibits water splitting and consequently widens the operating voltage window.Herein,we report ultrahigh-voltage aqueous planar asymmetric MSCs(AMSCs)based on a highly concentrated LiCl-gel quasi-solid-state electrolyte with MXene(Ti3C2Tx)as the negative electrode and MnO_(2) nanosheets as the positive electrode(MXene//MnO_(2)-AMSCs).The MXene//MnO_(2)-AMSCs exhibit a high voltage of up to 2.4 V,attaining an ultrahigh volumetric energy density of 53 mWh cm−3.Furthermore,the in-plane geometry and the quasi-solid-state electrolyte enabled excellent mechanical flexibility and performance uniformity in the serially/parallel connected packs of our AMSCs.Notably,the MXene//MnO_(2)-AMSC-based integrated microsystem,in conjunction with solar cells and consumer electronics,could efficiently realize simultaneous energy harvesting,storage,and conversion.The findings of this study provide insights for constructing high-voltage aqueous MXene-based AMSCs as safe and self-sufficient micropower sources in smart integrated microsystems.展开更多
This paper gives a definition of the Industrial Internet and expounds on the academic connotation of the future Industrial Internet.From this foundation,we outline the development and current status of the Industrial ...This paper gives a definition of the Industrial Internet and expounds on the academic connotation of the future Industrial Internet.From this foundation,we outline the development and current status of the Industrial Internet in China and globally.Moreover,we detail the avant-garde paradigms encompassed within the National Natural Science Foundation of China(NSFC)’s“Future Industrial Internet Fundamental Theory and Key Technologies”research plan and its corresponding management strategies.This research initiative endeavors to enhance interdisciplinary collaborations,aiming for a synergistic alignment of industry,academia,research,and practical implementations.The primary focus of the research plan is on the pivotal scientific challenges inherent to the future industrial internet.It is poised to traverse the“first mile”,encompassing foundational research and pioneering innovations specific to the industrial internet,and seamlessly bridges to the“last mile”,ensuring the effective commercialization of scientific and technological breakthroughs into tangible industrial market applications.The anticipated contributions from this initiative are projected to solidify both the theoretical and practical scaffolding essential for the cultivation of a globally competitive industrial internet infrastructure in China.展开更多
The European Commission has proposed a Carbon Border Adjustment Mechanism(CBAM)to reduce carbon leakage and create a level playing field for its domestic products and imported goods.Nevertheless,the effectiveness of t...The European Commission has proposed a Carbon Border Adjustment Mechanism(CBAM)to reduce carbon leakage and create a level playing field for its domestic products and imported goods.Nevertheless,the effectiveness of the proposal remains unclear,especially when it triggers threats of retaliation from trading partners of the European Union.We apply a Computable General Equilibrium model-Global Trade Analysis Project-to assess the economic and environmental impacts of different CBAM schemes.Here we show that the effectiveness of the CBAM to address carbon leakage risks is rather limited,and the CBAM raises concerns over global welfare costs,Correct to Gross Domestic Product(GDP)losses,and violation of equality principles.Trade retaliation leads to multiplied welfare losses,which would mostly be borne by poor countries.Our results question the carbon leakage reduction effect of a unilateral trade policy and suggest that climate change mitigation still needs to be performed within the framework of international cooperation.展开更多
Artificial vision is crucial for most artificial intelligence applications.Conventional artificial visual systems have been facing challenges in terms of real-time information processing due to the physical separation...Artificial vision is crucial for most artificial intelligence applications.Conventional artificial visual systems have been facing challenges in terms of real-time information processing due to the physical separation of sensors,memories,and processors,which results in the production of a large amount of redundant data as well as the data conversion and transfer between these three components consuming most of the time and energy.Emergent optoelectronic memristors with the ability to realize integrated sensing-computing-memory(ISCM)are key candidates for solving such challenges and therefore attract increasing attention.At present,the memristive ISCM devices can only perform primary-level computing with external light signals due to the fact that only monotonic increase of memconductance upon light irradiation is achieved in most of these devices.Here,we propose an all-optically controlled memristive ISCM device based on a simple structure of Au/ZnO/Pt with the ZnO thin film sputtered at pure Ar atmosphere.This device can perform advanced computing tasks such as nonvolatile neuromorphic computing and complete Boolean logic functions only by light irradiation,owing to its ability to reversibly tune the memconductance with light.Moreover,the device shows excellent operation stability ascribed to a purely electronic memconductance tuning mechanism.Hence,this study is an important step towards the next generation of artificial visual systems.展开更多
Emerging evidence has highlighted the capacity of hematogenous cells in skull and vertebral bone marrow to enter the meningeal borders via ossified vascular channels and maintain immune homeostasis in the central nerv...Emerging evidence has highlighted the capacity of hematogenous cells in skull and vertebral bone marrow to enter the meningeal borders via ossified vascular channels and maintain immune homeostasis in the central nervous system(CNS).CNS-adjacent skull and vertebral bone marrow comprises hematopoietic niches that can sense CNS injury and supply specialized immune cells to fine-tune inflammatory responses.Here,we review recent advances in our understanding of skull and vertebral bone marrow-derived immune cells in homeostasis and inflammatory CNS diseases.Further,we discuss the implications for future development of therapies to mitigate CNS inflammation and its detrimental sequelae in neurological disorders.展开更多
A gradual increase in avian influenza outbreaks has been found in recent years.It is highly possible to trigger the next human pandemic due to the characteristics of antigenic drift and antigenic shift in avian influe...A gradual increase in avian influenza outbreaks has been found in recent years.It is highly possible to trigger the next human pandemic due to the characteristics of antigenic drift and antigenic shift in avian influenza virus(AIV).Although great improvements in understanding influenza viruses and the associated diseases have been unraveled,our knowledge of how these viruses impact the gut microbiome of both poultry and humans,as well as the underlying mechanisms,is still improving.The“One Health”approach shows better vitality in monitoring and mitigating the risk of avian influenza,which requires a multi-sectoral effort and highlights the interconnection of human health with environmental sustainability and animal health.Therefore,monitoring the gut microbiome may serve as a sentinel for protecting the common health of the environment,animals,and humans.This review summarizes the interactions between AIV infection and the gut microbiome of poultry and humans and their potential mechanisms.With the presented suggestions,we hope to address the current major challenges in the surveillance and prevention of microbiome-related avian influenza with the“One Health”approach.展开更多
In addition to the cardinal motor symptoms,pain is a major non-motor symptom of Parkinson's disease(PD).Neuroinflammation in the substantia nigra pars compacta and dorsal striatum is involved in neurodegeneration ...In addition to the cardinal motor symptoms,pain is a major non-motor symptom of Parkinson's disease(PD).Neuroinflammation in the substantia nigra pars compacta and dorsal striatum is involved in neurodegeneration in PD.But the polarization of microglia and astrocytes in the dorsal striatum and their contribution to motor deficits and hyperalgesia in PD have not been characterized.In the present study,we observed that hemiparkinsonian mice established by unilateral 6-OHDA injection in the medial forebrain bundle exhibited motor deficits and mechanical allodynia.In these mice,both microglia and astrocytes in the dorsal striatum were activated and polarized to M1/M2 microglia and A1/A2 astrocytes as genes specific to these cells were upregulated.These effects peaked 7 days after 6-OHDA injection.Meanwhile,striatal astrocytes in parkinsonian mice also displayed hyperpolarized membrane potentials,enhanced voltage-gated potassium currents,and dysfunction in inwardly rectifying potassium channels and glutamate transporters.Systemic administration of minocycline,a microglia inhibitor,attenuated the expression of genes specific to M1 microglia and A1 astrocytes in the dorsal striatum(but not those specific to M2 microglia and A2 astrocytes),attenuated the damage in the nigrostriatal dopaminergic system,and alleviated the motor deficits and mechanical allodynia in parkinsonian mice.By contrast,local administration of minocycline into the dorsal striatum of parkinsonian mice mitigated only hyperalgesia.This study suggests that M1 microglia and A1 astrocytes in the dorsal striatum may play important roles in the development of pathophysiology underlying hyperalgesia in the early stages of PD.展开更多
Fibroblasts are typically described as cells that produce extracellular matrix,contribute to the formation of connective tissue,and maintain the structural framework of tissues.Fibroblasts are the first cell type to b...Fibroblasts are typically described as cells that produce extracellular matrix,contribute to the formation of connective tissue,and maintain the structural framework of tissues.Fibroblasts are the first cell type to be transdifferentiated into inducible pluripotent stem cells(iPSCs),demonstrating their versatility and reprogrammability.Currently,there is relatively extensive characterization of the anatomical,molecular,and functional diversity of fibroblasts in different peripheral organs and tissues.With recent advances in single cell RNA sequencing,heterogeneity and diversity of fibroblasts in the central nervous system(CNS)have also begun to emerge.Based on their distinct anatomical locations in the meninges,perivascular space,and choroid plexus,as well as their molecular diversity,important roles for fibroblasts in the CNS have been proposed.Here,we draw inspirations from what is known about fibroblasts in peripheral tissues,in combination with their currently identified CNS locations and molecular characterizations,to propose potential functions of CNS fibroblasts in health and disease.Future studies,using a combination of technologies,will be needed to determine the bona fide in vivo functions of fibroblasts in the CNS.展开更多
Peri-operative neurocognitive disorders(PNDs)include postoperative delirium(POD)and postoperative cognitive dysfunction(POCD).Children and the elderly are the two populations most vulnerable to the development of POD ...Peri-operative neurocognitive disorders(PNDs)include postoperative delirium(POD)and postoperative cognitive dysfunction(POCD).Children and the elderly are the two populations most vulnerable to the development of POD and POCD,which results in both high morbidity and mortality.There are many factors,including neuroinflammation and oxidative stress,that are associated with POD and POCD.General anesthesia is a major risk factor of PNDs.However,the molecular mechanisms of PNDs are poorly understood.Dexmedetomidine(DEX)is a useful sedative agent with analgesic properties,which significantly improves POCD in elderly patients.In this review,the current understanding of anesthesia in PNDs and the protective effects of DEX are summarized,and the underlying mechanisms are further discussed.展开更多
In the global challenge of Coronavirus disease 2019(COVID-19)pandemic,accurate prediction of daily new cases is crucial for epidemic prevention and socioeconomic planning.In contrast to traditional local,one-dimension...In the global challenge of Coronavirus disease 2019(COVID-19)pandemic,accurate prediction of daily new cases is crucial for epidemic prevention and socioeconomic planning.In contrast to traditional local,one-dimensional time-series data-based infection models,the study introduces an innovative approach by formulating the short-term prediction problem of new cases in a region as multidimensional,gridded time series for both input and prediction targets.A spatial-temporal depth prediction model for COVID-19(ConvLSTM)is presented,and further ConvLSTM by integrating historical meteorological factors(Meteor-ConvLSTM)is refined,considering the influence of meteorological factors on the propagation of COVID-19.The correlation between 10 meteorological factors and the dynamic progression of COVID-19 was evaluated,employing spatial analysis techniques(spatial autocorrelation analysis,trend surface analysis,etc.)to describe the spatial and temporal characteristics of the epidemic.Leveraging the original ConvLSTM,an artificial neural network layer is introduced to learn how meteorological factors impact the infection spread,providing a 5-day forecast at a 0.01°×0.01°pixel resolution.Simulation results using real dataset from the 3.15 outbreak in Shanghai demonstrate the efficacy of Meteor-ConvLSTM,with reduced RMSE of 0.110 and increased R^(2) of 0.125(original ConvLSTM:RMSE=0.702,R^(2)=0.567;Meteor-ConvLSTM:RMSE=0.592,R^(2)=0.692),showcasing its utility for investigating the epidemiological characteristics,transmission dynamics,and epidemic development.展开更多
The nervous system possesses bidirectional,sophisticated and delicate communications with the immune system.These neuroimmune interactions play a vitally important role in the initiation and development of many disord...The nervous system possesses bidirectional,sophisticated and delicate communications with the immune system.These neuroimmune interactions play a vitally important role in the initiation and development of many disorders,especially neurodegenerative diseases.Although scientific advancements have made tremendous progress in this field during the last few years,neuroimmune communications are still far from being elucidated.By organizing recent research,in this review,we discuss the local and intersystem neuroimmune interactions and their roles in Alzheimer’s disease,Parkinson’s disease and amyotrophic lateral sclerosis.Unveiling these will help us gain a better understanding of the process of interplay inside the body and how the organism maintains homeostasis.It will also facilitate a view of the diseases from a holistic,pluralistic and interconnected perspective,thus providing a basis of developing novel and effective methods to diagnose,intervene and treat diseases.展开更多
The aerosol transmission of coronavirus disease in 2019,along with the spread of other respiratory diseases,caused significant loss of life and property;it impressed upon us the importance of real-time bioaerosol dete...The aerosol transmission of coronavirus disease in 2019,along with the spread of other respiratory diseases,caused significant loss of life and property;it impressed upon us the importance of real-time bioaerosol detection.The complexity,diversity,and large spatiotemporal variability of bioaerosols and their external/internal mixing with abiotic components pose challenges for effective online bioaerosol monitoring.Traditional methods focus on directly capturing bioaerosols before subsequent time-consuming laboratory analysis such as culture-based methods,preventing the high-resolution time-based characteristics necessary for an online approach.Through a comprehensive literature assessment,this review highlights and discusses the most commonly used real-time bioaerosol monitoring techniques and the associated commercially available monitors.Methods applied in online bioaerosol monitoring,including adenosine triphosphate bioluminescence,laser/light-induced fluorescence spectroscopy,Raman spectroscopy,and bioaerosol mass spectrometry are summarized.The working principles,characteristics,sensitivities,and efficiencies of these real-time detection methods are compared to understand their responses to known particle types and to contrast their differences.Approaches developed to analyze the substantial data sets obtained by these instruments and to overcome the limitations of current real-time bioaerosol monitoring technologies are also introduced.Finally,an outlook is proposed for future instrumentation indicating a need for highly revolutionized bioaerosol detection technologies.展开更多
Extreme precipitation is exacerbating the burden of infectious diarrhea in the context of climate change,it is necessary to identify the critical and easy-to-intervene intermediate factors for public health strategies...Extreme precipitation is exacerbating the burden of infectious diarrhea in the context of climate change,it is necessary to identify the critical and easy-to-intervene intermediate factors for public health strategies.Water quality may be the most important mediator,while relevant empirical evidence is limited.This study aimed to examine the role of water quality in the process of infectious diarrhea caused by extreme precipitation.Weekly infectious diarrhea cases,meteorological factors and water quality data in Yangtze River Basin in China between October 29,2007 to February 19,2017 were obtained.Two-stage statistical models were used to estimate city-specific extreme precipitation,water quality and infectious diarrhea relationships that were pooled to derive regional estimates.A causal mediation analysis was used to assess the mediation effect of water quality.In Yangtze River Basin,extreme precipitation events had a significant impact on infectious diarrhea(Incidence Rate Ratios[IRR]:1.027,95%Confidence Interval[CI]:1.013~1.041).After extreme precipitation events,the dissolved oxygen(DO)in surface water decreased(-0.123 mg/L,95%CI:-0.159 mg/L~-0.086 mg/L),while the un-ionized ammonia(NH(3)-N)increased(0.004 mg/L,95%CI:0.001 mg/L~0.006 mg/L).The combined overall effect of DO and NH(3)-N on infectious diarrhea showed that both low and high concentrations were associated with an increased risk of infectious diarrhea.The causal mediation analysis showed that the mediation proportion of the two water quality indexes(DO and NH(3)-N)is 70.54%(P<0.001).To reduce the health effects of extreme precipitation,in contrast to current population-oriented health strategies,those that take into account more direct and easy-to-intervene water quality indicators should be encouraged by future policies.展开更多
Coronavirus disease 2019(COvID-19)is a severe global public health emergency that has caused a major cri-sis in the safety of human life,health,global economy,and social order.Moreover,CovID-19 poses significant chall...Coronavirus disease 2019(COvID-19)is a severe global public health emergency that has caused a major cri-sis in the safety of human life,health,global economy,and social order.Moreover,CovID-19 poses significant challenges to healthcare systems worldwide.The prediction and early warning of infectious diseases on a global scale are the premise and basis for countries to jointly fight epidemics.However,because of the complexity of epidemics,predicting infectious diseases on a global scale faces significant challenges.In this study,we developed the second version of Global Prediction System for Epidemiological Pandemic(GPEP-2),which combines statis-tical methods with a modified epidemiological model.The GPEP-2 introduces various parameterization schemes for both impacts of natural factors(seasonal variations in weather and environmental impacts)and human so-cial behaviors(government control and isolation,personnel gathered,indoor propagation,virus mutation,and vaccination).The GPEP-2 successfully predicted the COVID-19 pandemic in over 180 countries with an average accuracy rate of 82.7%.It also provided prediction and decision-making bases for several regional-scale CovID-19 pandemic outbreaks in China,with an average accuracy rate of 89.3%.Results showed that both anthropogenic and natural factors can affect virus spread and control measures in the early stages of an epidemic can effectively control the spread.The predicted results could serve as a reference for public health planning and policymaking.展开更多
Childhood asthma is one of the most common respiratory diseases with rising mortality and morbidity.The multi-omics data is providing a new chance to explore collaborative biomarkers and corresponding diagnostic model...Childhood asthma is one of the most common respiratory diseases with rising mortality and morbidity.The multi-omics data is providing a new chance to explore collaborative biomarkers and corresponding diagnostic models of childhood asthma.To capture the nonlinear association of multi-omics data and improve interpretability of diagnostic model,we proposed a novel deep association model(DAM)and corresponding efficient analysis framework.First,the Deep Subspace Reconstruction was used to fuse the omics data and diagnostic information,thereby correcting the distribution of the original omics data and reducing the influence of unnecessary data noises.Second,the Joint Deep Semi-Negative Matrix Factorization was applied to identify different latent sample patterns and extract biomarkers from different omics data levels.Third,our newly proposed Deep Orthogonal Canonical Correlation Analysis can rank features in the collaborative module,which are able to construct the diagnostic model considering nonlinear correlation between different omics data levels.Using DAM,we deeply analyzed the transcriptome and methylation data of childhood asthma.The effectiveness of DAM is verified from the perspectives of algorithm performance and biological significance on the independent test dataset,by ablation experiment and comparison with many baseline methods from clinical and biological studies.The DAM-induced diagnostic model can achieve a prediction AUC of o.912,which is higher than that of many other alternative methods.Meanwhile,relevant pathways and biomarkers of childhood asthma are also recognized to be collectively altered on the gene expression and methylation levels.As an interpretable machine learning approach,DAM simultaneously considers the non-linear associations among samples and those among biological features,which should help explore interpretative biomarker candidates and efficient diagnostic models from multi-omics data analysis for human complexdiseases.展开更多
Skin is a vital barrier tissue of the body.Immune responses in the skin must be precisely controlled,which would otherwise cause severe disease conditions such as psoriasis,atopic dermatitis,or pathogenic infection.Re...Skin is a vital barrier tissue of the body.Immune responses in the skin must be precisely controlled,which would otherwise cause severe disease conditions such as psoriasis,atopic dermatitis,or pathogenic infection.Research evidence has increasingly demonstrated the essential roles of neural innervations,i.e.,sensory and sympathetic signals,in modulating skin immunity.Notably,neuropathic changes of such neural structures have been observed in skin disease conditions,implicating their direct involvement in various pathological processes.An in-depth understanding of the mechanism underlying skin neuropathy and its immunomodulatory effects could help reveal novel entry points for therapeutic interventions.Here,we summarize the neuroimmune interactions between neuropathic events and skin immunity,highlighting the current knowledge and future perspectives of this emerging research frontier.展开更多
As a result of the growing complexity of industrial Internet applications,traditional hardware-based network designs are encountering challenges in terms of programmability and dynamic adaptability as they struggle to...As a result of the growing complexity of industrial Internet applications,traditional hardware-based network designs are encountering challenges in terms of programmability and dynamic adaptability as they struggle to meet the real-time,high-reliability transmission requirements for the vast quantities of data generated in industrial environments.This paper proposes a holistic software-defined deterministic network(HSDDN)design solution.This solution uses a centralized controller to implement a comprehensive software definition,ranging from the network layer down to the physical layer.Within the wireless access domain,we decouple the standard radio-frequency modules from baseband processing to realize a software-defined physical layer,which then allows us to adjust the data transmission cycles and tag the trigger rates to meet demand for low-power,high-concurrency transmission.Within the wired network domain,we integrate software-defined networking with time-sensitive networking and propose a coordinated design strategy to address routing and the deterministic scheduling problem.We define a set of constraints to ensure collaborative transmission of the periodic and aperiodic data flows.To guarantee load balancing across all paths and timeslots,we introduce the Jain’s fairness index as the optimization objective and then construct a nondeterministic polynomial-time(NP)-hard joint optimization problem.Furthermore,an algorithm called Tabu search for routing and scheduling with dual-stages(TSRS-DS)is proposed.Simulation experiments demonstrate the effectiveness of the proposed HSDDN architecture.展开更多
Microglia are resident immune cells in the central nervous system(CNS)that play vital roles in CNS development,homeostasis and disease pathogenesis.Genetic defects in microglia lead to microglial dysfunction,which in ...Microglia are resident immune cells in the central nervous system(CNS)that play vital roles in CNS development,homeostasis and disease pathogenesis.Genetic defects in microglia lead to microglial dysfunction,which in turn leads to neurological disorders.The correction of the specific genetic defects in microglia in these disorders can lead to therapeutic effects.Traditional genetic defect correction approaches are dependent on viral vectorbased genetic defect corrections.However,the viruses used in these approaches,including adeno-associated viruses,lentiviruses and retroviruses,do not primarily target microglia;therefore,viral vector-based genetic defect corrections are ineffective in microglia.Microglia replacement is a novel approach to correct microglial genetic defects via replacing microglia of genetic defects with allogenic healthy microglia.In this paper,we systematically review the history,rationale and therapeutic perspectives of microglia replacement,which would be a novel strategy for treating CNS disorders.展开更多
Since solid-liquid interfacial nanobubbles(INBs)were first imaged,their long-term stability and large contact angle have been perplexing scientists.This study aimed to investigate the influence of internal gas density...Since solid-liquid interfacial nanobubbles(INBs)were first imaged,their long-term stability and large contact angle have been perplexing scientists.This study aimed to investigate the influence of internal gas density and external gas monolayers on the contact angle and stability of INB using molecular dynamics simulations.First,the contact angle of a water droplet was simulated at different nitrogen densities.The results showed that the contact angle increased sharply with an increase in nitrogen density,which was mainly caused by the decrease in solid-gas interfacial tension.However,when the nitrogen density reached 2.57 nm^(-3),an intervening gas monolayer(GML)was formed between the solid and water.After the formation of GML,the contact angle slightly increased with increasing gas density.The contact angle increased to 180°when the nitrogen density reached 11.38 nm^(-3),indicating that INBs transformed into a gas layer when they were too small.For substrates with different hydrophobicities,the contact angle after the formation of GML was always larger than 140°and it was weakly correlated with substrate hydrophobicity.The increase in contact angle with gas density represents the evolution of contact angle from macro-to nano-bubble,while the formation of GML may correspond to stable INBs.The potential of mean force curves demonstrated that the substrate with GML could attract gas molecules from a longer distance without the existence of a potential barrier compared with the bare substrate,indicating the potential of GML to act as a gas-collecting panel.Further research indicated that GML can function as a channel to transport gas molecules to INBs,which favors stability of INBs.This research may shed new light on the mechanisms underlying abnormal contact angle and long-term stability of INBs.展开更多
基金This work was supported by Shenzhen Science and Technology Program(RCYX20200714114524139,Shenzhen Key Laboratory of Ultrafast Laser Micro/Nano Manufacturing ZDSYS20220606100405013)Natural Science Foundation of Guangdong Province(2022B1515120061)National Natural Science Foundation of China(62122057,62075136).
文摘The most important optical component in an optical fiber endoscope is its objective lens.To achieve a high imaging performance level,the development of an ultra-compact objective lens is thus the key to an ultra-thin optical fiber endoscope.In this work,we use femtosecond laser 3D printing to develop a series of micro objective lenses with different optical designs.The imaging resolution and field-of-view performances of these printed micro objective lenses are investigated via both simulations and experiments.For the first time,multiple micro objective lenses with different fields of view are printed on the end face of a single imaging optical fiber,thus realizing the perfect integration of an optical fiber and objective lenses.This work demonstrates the considerable potential of femtosecond laser 3D printing in the fabrication of micro-optical systems and provides a reliable solution for the development of an ultrathin fiber endoscope.
基金supported by the National Natural Science Foundation of China(22005297,22125903,and 51872283)the“Transformational Technologies for Clean Energy and Demonstration”Strategic Priority Research Program of the Chinese Academy of Sciences(XDA21000000)+4 种基金the Dalian Innovation Support Plan for High Level Talents(2019RT09)the Dalian National Laboratory for Clean Energy(DNL),Chinese Academy of Sciences(CAS),DNL Cooperation Fund,CAS(DNL201912,DNL201915,DNL202016,and DNL202019)DICP(DICP ZZBS201802 and DICP I2020032)the Joint Fund of the Yulin University and the Dalian National Laboratory for Clean Energy(YLU-DNL Fund 2021002 and YLU-DNL Fund 2021009)the China Postdoctoral Science Foundation(2020M680995).
文摘Two-dimensional MXenes are key high-capacitance electrode materials for micro-supercapacitors(MSCs)catering to integrated microsystems.However,the narrow electrochemical voltage windows of conventional aqueous electrolytes(≤1.23 V)and symmetric MXene MSCs(typically≤0.6 V)substantially limit their output voltage and energy density.Highly concentrated aqueous electrolytes exhibit lower water molecule activity,which inhibits water splitting and consequently widens the operating voltage window.Herein,we report ultrahigh-voltage aqueous planar asymmetric MSCs(AMSCs)based on a highly concentrated LiCl-gel quasi-solid-state electrolyte with MXene(Ti3C2Tx)as the negative electrode and MnO_(2) nanosheets as the positive electrode(MXene//MnO_(2)-AMSCs).The MXene//MnO_(2)-AMSCs exhibit a high voltage of up to 2.4 V,attaining an ultrahigh volumetric energy density of 53 mWh cm−3.Furthermore,the in-plane geometry and the quasi-solid-state electrolyte enabled excellent mechanical flexibility and performance uniformity in the serially/parallel connected packs of our AMSCs.Notably,the MXene//MnO_(2)-AMSC-based integrated microsystem,in conjunction with solar cells and consumer electronics,could efficiently realize simultaneous energy harvesting,storage,and conversion.The findings of this study provide insights for constructing high-voltage aqueous MXene-based AMSCs as safe and self-sufficient micropower sources in smart integrated microsystems.
文摘This paper gives a definition of the Industrial Internet and expounds on the academic connotation of the future Industrial Internet.From this foundation,we outline the development and current status of the Industrial Internet in China and globally.Moreover,we detail the avant-garde paradigms encompassed within the National Natural Science Foundation of China(NSFC)’s“Future Industrial Internet Fundamental Theory and Key Technologies”research plan and its corresponding management strategies.This research initiative endeavors to enhance interdisciplinary collaborations,aiming for a synergistic alignment of industry,academia,research,and practical implementations.The primary focus of the research plan is on the pivotal scientific challenges inherent to the future industrial internet.It is poised to traverse the“first mile”,encompassing foundational research and pioneering innovations specific to the industrial internet,and seamlessly bridges to the“last mile”,ensuring the effective commercialization of scientific and technological breakthroughs into tangible industrial market applications.The anticipated contributions from this initiative are projected to solidify both the theoretical and practical scaffolding essential for the cultivation of a globally competitive industrial internet infrastructure in China.
基金supported by the Engineering and Physical Sciences Research Council(EP/V041665/1)the British Council(2019-RLWK11-10577)。
文摘The European Commission has proposed a Carbon Border Adjustment Mechanism(CBAM)to reduce carbon leakage and create a level playing field for its domestic products and imported goods.Nevertheless,the effectiveness of the proposal remains unclear,especially when it triggers threats of retaliation from trading partners of the European Union.We apply a Computable General Equilibrium model-Global Trade Analysis Project-to assess the economic and environmental impacts of different CBAM schemes.Here we show that the effectiveness of the CBAM to address carbon leakage risks is rather limited,and the CBAM raises concerns over global welfare costs,Correct to Gross Domestic Product(GDP)losses,and violation of equality principles.Trade retaliation leads to multiplied welfare losses,which would mostly be borne by poor countries.Our results question the carbon leakage reduction effect of a unilateral trade policy and suggest that climate change mitigation still needs to be performed within the framework of international cooperation.
基金This work was supported in part by the National Natural Science Foundation of China(U20A20209 and 61874125)the Strategic Priority Research Program of Chinese Academy of Sciences(XDB32050204)+1 种基金the Zhejiang Provincial Natural Science Foundation of China(LD19E020001 and LQ22F040003)the State Key Laboratory of Silicon Materials(SKL2021-03).
文摘Artificial vision is crucial for most artificial intelligence applications.Conventional artificial visual systems have been facing challenges in terms of real-time information processing due to the physical separation of sensors,memories,and processors,which results in the production of a large amount of redundant data as well as the data conversion and transfer between these three components consuming most of the time and energy.Emergent optoelectronic memristors with the ability to realize integrated sensing-computing-memory(ISCM)are key candidates for solving such challenges and therefore attract increasing attention.At present,the memristive ISCM devices can only perform primary-level computing with external light signals due to the fact that only monotonic increase of memconductance upon light irradiation is achieved in most of these devices.Here,we propose an all-optically controlled memristive ISCM device based on a simple structure of Au/ZnO/Pt with the ZnO thin film sputtered at pure Ar atmosphere.This device can perform advanced computing tasks such as nonvolatile neuromorphic computing and complete Boolean logic functions only by light irradiation,owing to its ability to reversibly tune the memconductance with light.Moreover,the device shows excellent operation stability ascribed to a purely electronic memconductance tuning mechanism.Hence,this study is an important step towards the next generation of artificial visual systems.
基金supported in part by the National Natural Science Foundation of China(82225015,82171284,and 82201498).
文摘Emerging evidence has highlighted the capacity of hematogenous cells in skull and vertebral bone marrow to enter the meningeal borders via ossified vascular channels and maintain immune homeostasis in the central nervous system(CNS).CNS-adjacent skull and vertebral bone marrow comprises hematopoietic niches that can sense CNS injury and supply specialized immune cells to fine-tune inflammatory responses.Here,we review recent advances in our understanding of skull and vertebral bone marrow-derived immune cells in homeostasis and inflammatory CNS diseases.Further,we discuss the implications for future development of therapies to mitigate CNS inflammation and its detrimental sequelae in neurological disorders.
基金supported by grants from the Central Universities,Lanzhou University,China(lzujbky-2021-ey07)the scientific research project of Lanzhou City(2022-RC-42).
文摘A gradual increase in avian influenza outbreaks has been found in recent years.It is highly possible to trigger the next human pandemic due to the characteristics of antigenic drift and antigenic shift in avian influenza virus(AIV).Although great improvements in understanding influenza viruses and the associated diseases have been unraveled,our knowledge of how these viruses impact the gut microbiome of both poultry and humans,as well as the underlying mechanisms,is still improving.The“One Health”approach shows better vitality in monitoring and mitigating the risk of avian influenza,which requires a multi-sectoral effort and highlights the interconnection of human health with environmental sustainability and animal health.Therefore,monitoring the gut microbiome may serve as a sentinel for protecting the common health of the environment,animals,and humans.This review summarizes the interactions between AIV infection and the gut microbiome of poultry and humans and their potential mechanisms.With the presented suggestions,we hope to address the current major challenges in the surveillance and prevention of microbiome-related avian influenza with the“One Health”approach.
基金the National Natural Science Foundation of China(81971038,82071231,82171235,82271293,81870891)the Fund for Jiangsu Province Specially-Appointed Professor(C.X.,C.Z.)+1 种基金the Natural Science Foundation of Jiangsu Province(BK20211349)the Leadership Program in Xuzhou Medical University(JBGS202203).
文摘In addition to the cardinal motor symptoms,pain is a major non-motor symptom of Parkinson's disease(PD).Neuroinflammation in the substantia nigra pars compacta and dorsal striatum is involved in neurodegeneration in PD.But the polarization of microglia and astrocytes in the dorsal striatum and their contribution to motor deficits and hyperalgesia in PD have not been characterized.In the present study,we observed that hemiparkinsonian mice established by unilateral 6-OHDA injection in the medial forebrain bundle exhibited motor deficits and mechanical allodynia.In these mice,both microglia and astrocytes in the dorsal striatum were activated and polarized to M1/M2 microglia and A1/A2 astrocytes as genes specific to these cells were upregulated.These effects peaked 7 days after 6-OHDA injection.Meanwhile,striatal astrocytes in parkinsonian mice also displayed hyperpolarized membrane potentials,enhanced voltage-gated potassium currents,and dysfunction in inwardly rectifying potassium channels and glutamate transporters.Systemic administration of minocycline,a microglia inhibitor,attenuated the expression of genes specific to M1 microglia and A1 astrocytes in the dorsal striatum(but not those specific to M2 microglia and A2 astrocytes),attenuated the damage in the nigrostriatal dopaminergic system,and alleviated the motor deficits and mechanical allodynia in parkinsonian mice.By contrast,local administration of minocycline into the dorsal striatum of parkinsonian mice mitigated only hyperalgesia.This study suggests that M1 microglia and A1 astrocytes in the dorsal striatum may play important roles in the development of pathophysiology underlying hyperalgesia in the early stages of PD.
基金supported by grants from the National Natural Science Foundation of China(32030049)the Ministry of Science and Technology of China(2021ZD0202500).
文摘Fibroblasts are typically described as cells that produce extracellular matrix,contribute to the formation of connective tissue,and maintain the structural framework of tissues.Fibroblasts are the first cell type to be transdifferentiated into inducible pluripotent stem cells(iPSCs),demonstrating their versatility and reprogrammability.Currently,there is relatively extensive characterization of the anatomical,molecular,and functional diversity of fibroblasts in different peripheral organs and tissues.With recent advances in single cell RNA sequencing,heterogeneity and diversity of fibroblasts in the central nervous system(CNS)have also begun to emerge.Based on their distinct anatomical locations in the meninges,perivascular space,and choroid plexus,as well as their molecular diversity,important roles for fibroblasts in the CNS have been proposed.Here,we draw inspirations from what is known about fibroblasts in peripheral tissues,in combination with their currently identified CNS locations and molecular characterizations,to propose potential functions of CNS fibroblasts in health and disease.Future studies,using a combination of technologies,will be needed to determine the bona fide in vivo functions of fibroblasts in the CNS.
基金the grants from the National Natural Science Foundation of China to WS(82150710557,82293642).
文摘Peri-operative neurocognitive disorders(PNDs)include postoperative delirium(POD)and postoperative cognitive dysfunction(POCD).Children and the elderly are the two populations most vulnerable to the development of POD and POCD,which results in both high morbidity and mortality.There are many factors,including neuroinflammation and oxidative stress,that are associated with POD and POCD.General anesthesia is a major risk factor of PNDs.However,the molecular mechanisms of PNDs are poorly understood.Dexmedetomidine(DEX)is a useful sedative agent with analgesic properties,which significantly improves POCD in elderly patients.In this review,the current understanding of anesthesia in PNDs and the protective effects of DEX are summarized,and the underlying mechanisms are further discussed.
基金the Self-supporting Program of Guangzhou Laboratory(SRPG22-007)the Collaborative Research Project of the National Natural Science Foundation of China(L2224041)+2 种基金and the Chinese Academy of Sciences(XK2022DxC005)Frontier of Interdisciplinary Research on Monitoring and Prediction of Pathogenic Microorganisms in the Atmosphereand the Fundamental Research Funds for the Central Universities(lzujbky-2023-ey10)。
文摘In the global challenge of Coronavirus disease 2019(COVID-19)pandemic,accurate prediction of daily new cases is crucial for epidemic prevention and socioeconomic planning.In contrast to traditional local,one-dimensional time-series data-based infection models,the study introduces an innovative approach by formulating the short-term prediction problem of new cases in a region as multidimensional,gridded time series for both input and prediction targets.A spatial-temporal depth prediction model for COVID-19(ConvLSTM)is presented,and further ConvLSTM by integrating historical meteorological factors(Meteor-ConvLSTM)is refined,considering the influence of meteorological factors on the propagation of COVID-19.The correlation between 10 meteorological factors and the dynamic progression of COVID-19 was evaluated,employing spatial analysis techniques(spatial autocorrelation analysis,trend surface analysis,etc.)to describe the spatial and temporal characteristics of the epidemic.Leveraging the original ConvLSTM,an artificial neural network layer is introduced to learn how meteorological factors impact the infection spread,providing a 5-day forecast at a 0.01°×0.01°pixel resolution.Simulation results using real dataset from the 3.15 outbreak in Shanghai demonstrate the efficacy of Meteor-ConvLSTM,with reduced RMSE of 0.110 and increased R^(2) of 0.125(original ConvLSTM:RMSE=0.702,R^(2)=0.567;Meteor-ConvLSTM:RMSE=0.592,R^(2)=0.692),showcasing its utility for investigating the epidemiological characteristics,transmission dynamics,and epidemic development.
基金supported by grants from the National Natural Science Foundation of China(32030052 and 31530028).
文摘The nervous system possesses bidirectional,sophisticated and delicate communications with the immune system.These neuroimmune interactions play a vitally important role in the initiation and development of many disorders,especially neurodegenerative diseases.Although scientific advancements have made tremendous progress in this field during the last few years,neuroimmune communications are still far from being elucidated.By organizing recent research,in this review,we discuss the local and intersystem neuroimmune interactions and their roles in Alzheimer’s disease,Parkinson’s disease and amyotrophic lateral sclerosis.Unveiling these will help us gain a better understanding of the process of interplay inside the body and how the organism maintains homeostasis.It will also facilitate a view of the diseases from a holistic,pluralistic and interconnected perspective,thus providing a basis of developing novel and effective methods to diagnose,intervene and treat diseases.
基金financially supported by National Natural Science Foundation of China(U1901210,42177410 and 42130611)Science and Technology Project of Guangdong Province,China(2021A0505030070)+2 种基金Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program(2017BT01Z032)Science and Technology Program of Guangzhou(202201010684)and Young S&T Talent Training Program of Guangdong Provincial Association for S&T(GDSTA),China(2022QNRC23).
文摘The aerosol transmission of coronavirus disease in 2019,along with the spread of other respiratory diseases,caused significant loss of life and property;it impressed upon us the importance of real-time bioaerosol detection.The complexity,diversity,and large spatiotemporal variability of bioaerosols and their external/internal mixing with abiotic components pose challenges for effective online bioaerosol monitoring.Traditional methods focus on directly capturing bioaerosols before subsequent time-consuming laboratory analysis such as culture-based methods,preventing the high-resolution time-based characteristics necessary for an online approach.Through a comprehensive literature assessment,this review highlights and discusses the most commonly used real-time bioaerosol monitoring techniques and the associated commercially available monitors.Methods applied in online bioaerosol monitoring,including adenosine triphosphate bioluminescence,laser/light-induced fluorescence spectroscopy,Raman spectroscopy,and bioaerosol mass spectrometry are summarized.The working principles,characteristics,sensitivities,and efficiencies of these real-time detection methods are compared to understand their responses to known particle types and to contrast their differences.Approaches developed to analyze the substantial data sets obtained by these instruments and to overcome the limitations of current real-time bioaerosol monitoring technologies are also introduced.Finally,an outlook is proposed for future instrumentation indicating a need for highly revolutionized bioaerosol detection technologies.
基金supported by the National Key R&D Program of China(2018YFA0606200)Sanming Project of Medicine in Shenzhen,China(SZSM202111001).
文摘Extreme precipitation is exacerbating the burden of infectious diarrhea in the context of climate change,it is necessary to identify the critical and easy-to-intervene intermediate factors for public health strategies.Water quality may be the most important mediator,while relevant empirical evidence is limited.This study aimed to examine the role of water quality in the process of infectious diarrhea caused by extreme precipitation.Weekly infectious diarrhea cases,meteorological factors and water quality data in Yangtze River Basin in China between October 29,2007 to February 19,2017 were obtained.Two-stage statistical models were used to estimate city-specific extreme precipitation,water quality and infectious diarrhea relationships that were pooled to derive regional estimates.A causal mediation analysis was used to assess the mediation effect of water quality.In Yangtze River Basin,extreme precipitation events had a significant impact on infectious diarrhea(Incidence Rate Ratios[IRR]:1.027,95%Confidence Interval[CI]:1.013~1.041).After extreme precipitation events,the dissolved oxygen(DO)in surface water decreased(-0.123 mg/L,95%CI:-0.159 mg/L~-0.086 mg/L),while the un-ionized ammonia(NH(3)-N)increased(0.004 mg/L,95%CI:0.001 mg/L~0.006 mg/L).The combined overall effect of DO and NH(3)-N on infectious diarrhea showed that both low and high concentrations were associated with an increased risk of infectious diarrhea.The causal mediation analysis showed that the mediation proportion of the two water quality indexes(DO and NH(3)-N)is 70.54%(P<0.001).To reduce the health effects of extreme precipitation,in contrast to current population-oriented health strategies,those that take into account more direct and easy-to-intervene water quality indicators should be encouraged by future policies.
基金the Collaborative Research Project of the National Natural Science Foundation of China(L2224041)the Chinese Academy of Sciences(XK2022DXC005)+1 种基金Frontier of Interdisciplinary Research on Monitoring and Prediction of Pathogenic Microorganisms in the Atmosphere,Self-supporting Program of Guangzhou Laboratory(SRPG22–007)Gansu Province Intellectual Property Program(Oriented Organization)Project(22ZSCQD02).
文摘Coronavirus disease 2019(COvID-19)is a severe global public health emergency that has caused a major cri-sis in the safety of human life,health,global economy,and social order.Moreover,CovID-19 poses significant challenges to healthcare systems worldwide.The prediction and early warning of infectious diseases on a global scale are the premise and basis for countries to jointly fight epidemics.However,because of the complexity of epidemics,predicting infectious diseases on a global scale faces significant challenges.In this study,we developed the second version of Global Prediction System for Epidemiological Pandemic(GPEP-2),which combines statis-tical methods with a modified epidemiological model.The GPEP-2 introduces various parameterization schemes for both impacts of natural factors(seasonal variations in weather and environmental impacts)and human so-cial behaviors(government control and isolation,personnel gathered,indoor propagation,virus mutation,and vaccination).The GPEP-2 successfully predicted the COVID-19 pandemic in over 180 countries with an average accuracy rate of 82.7%.It also provided prediction and decision-making bases for several regional-scale CovID-19 pandemic outbreaks in China,with an average accuracy rate of 89.3%.Results showed that both anthropogenic and natural factors can affect virus spread and control measures in the early stages of an epidemic can effectively control the spread.The predicted results could serve as a reference for public health planning and policymaking.
基金the Self-supporting Program of Guangzhou Laboratory(SRPG22-007)R&D Program of Guangzhou National Laboratory(GZNL2024A01002)+4 种基金National Natural Science Foundation of China(12371485,11871456)II Phase External Project of Guoke Ningbo Life Science and Health Industry Research Institute(2020YJY0217)Science and Technology Project of Yunnan Province(202103AQ100002)National Key R&D Program of China(2022YFF1202100)The Strategic Priority Research Program of the Chinese Academy of Sciences(XDB38050200,XDB38040202,XDA26040304).
文摘Childhood asthma is one of the most common respiratory diseases with rising mortality and morbidity.The multi-omics data is providing a new chance to explore collaborative biomarkers and corresponding diagnostic models of childhood asthma.To capture the nonlinear association of multi-omics data and improve interpretability of diagnostic model,we proposed a novel deep association model(DAM)and corresponding efficient analysis framework.First,the Deep Subspace Reconstruction was used to fuse the omics data and diagnostic information,thereby correcting the distribution of the original omics data and reducing the influence of unnecessary data noises.Second,the Joint Deep Semi-Negative Matrix Factorization was applied to identify different latent sample patterns and extract biomarkers from different omics data levels.Third,our newly proposed Deep Orthogonal Canonical Correlation Analysis can rank features in the collaborative module,which are able to construct the diagnostic model considering nonlinear correlation between different omics data levels.Using DAM,we deeply analyzed the transcriptome and methylation data of childhood asthma.The effectiveness of DAM is verified from the perspectives of algorithm performance and biological significance on the independent test dataset,by ablation experiment and comparison with many baseline methods from clinical and biological studies.The DAM-induced diagnostic model can achieve a prediction AUC of o.912,which is higher than that of many other alternative methods.Meanwhile,relevant pathways and biomarkers of childhood asthma are also recognized to be collectively altered on the gene expression and methylation levels.As an interpretable machine learning approach,DAM simultaneously considers the non-linear associations among samples and those among biological features,which should help explore interpretative biomarker candidates and efficient diagnostic models from multi-omics data analysis for human complexdiseases.
基金funded by the National Natural Science Foundation of China(31970974,32061143007,32125017,and 32150008)the National Key Research and Development Program of China(2019YFA0802003)。
文摘Skin is a vital barrier tissue of the body.Immune responses in the skin must be precisely controlled,which would otherwise cause severe disease conditions such as psoriasis,atopic dermatitis,or pathogenic infection.Research evidence has increasingly demonstrated the essential roles of neural innervations,i.e.,sensory and sympathetic signals,in modulating skin immunity.Notably,neuropathic changes of such neural structures have been observed in skin disease conditions,implicating their direct involvement in various pathological processes.An in-depth understanding of the mechanism underlying skin neuropathy and its immunomodulatory effects could help reveal novel entry points for therapeutic interventions.Here,we summarize the neuroimmune interactions between neuropathic events and skin immunity,highlighting the current knowledge and future perspectives of this emerging research frontier.
基金This work was supported by the National Natural Science Foundation of China(92167205,92167205 and 62025305).
文摘As a result of the growing complexity of industrial Internet applications,traditional hardware-based network designs are encountering challenges in terms of programmability and dynamic adaptability as they struggle to meet the real-time,high-reliability transmission requirements for the vast quantities of data generated in industrial environments.This paper proposes a holistic software-defined deterministic network(HSDDN)design solution.This solution uses a centralized controller to implement a comprehensive software definition,ranging from the network layer down to the physical layer.Within the wireless access domain,we decouple the standard radio-frequency modules from baseband processing to realize a software-defined physical layer,which then allows us to adjust the data transmission cycles and tag the trigger rates to meet demand for low-power,high-concurrency transmission.Within the wired network domain,we integrate software-defined networking with time-sensitive networking and propose a coordinated design strategy to address routing and the deterministic scheduling problem.We define a set of constraints to ensure collaborative transmission of the periodic and aperiodic data flows.To guarantee load balancing across all paths and timeslots,we introduce the Jain’s fairness index as the optimization objective and then construct a nondeterministic polynomial-time(NP)-hard joint optimization problem.Furthermore,an algorithm called Tabu search for routing and scheduling with dual-stages(TSRS-DS)is proposed.Simulation experiments demonstrate the effectiveness of the proposed HSDDN architecture.
基金supported by STI2030-Major Projects(2022ZD0204700)(B.P.)and(2022ZD0207200)(Y.R.)National Natural Science Foundation of China(32170958)(B.P.)and(32000678)(Y.R.)+4 种基金Program of Shanghai Academic/Technology Research Leader(21XD1420400)(B.P.)Shanghai Pilot Program for Basic Research(21TQ014)(B.P.)“Shuguang Program”from Shanghai Education Development Foundation and Shanghai Municipal Education Commission(22SG07)(B.P.)Shanghai Municipal Science and Technology Major Project(B.P.)The Innovative Research Team of High-Level Local University in Shanghai(B.P.).
文摘Microglia are resident immune cells in the central nervous system(CNS)that play vital roles in CNS development,homeostasis and disease pathogenesis.Genetic defects in microglia lead to microglial dysfunction,which in turn leads to neurological disorders.The correction of the specific genetic defects in microglia in these disorders can lead to therapeutic effects.Traditional genetic defect correction approaches are dependent on viral vectorbased genetic defect corrections.However,the viruses used in these approaches,including adeno-associated viruses,lentiviruses and retroviruses,do not primarily target microglia;therefore,viral vector-based genetic defect corrections are ineffective in microglia.Microglia replacement is a novel approach to correct microglial genetic defects via replacing microglia of genetic defects with allogenic healthy microglia.In this paper,we systematically review the history,rationale and therapeutic perspectives of microglia replacement,which would be a novel strategy for treating CNS disorders.
基金This work was supported by the National Natural Science Foundation of China(51920105007,51904300 and 52104277)the Jiangsu Natural Science Fund-Youth Fund(BK20210500).
文摘Since solid-liquid interfacial nanobubbles(INBs)were first imaged,their long-term stability and large contact angle have been perplexing scientists.This study aimed to investigate the influence of internal gas density and external gas monolayers on the contact angle and stability of INB using molecular dynamics simulations.First,the contact angle of a water droplet was simulated at different nitrogen densities.The results showed that the contact angle increased sharply with an increase in nitrogen density,which was mainly caused by the decrease in solid-gas interfacial tension.However,when the nitrogen density reached 2.57 nm^(-3),an intervening gas monolayer(GML)was formed between the solid and water.After the formation of GML,the contact angle slightly increased with increasing gas density.The contact angle increased to 180°when the nitrogen density reached 11.38 nm^(-3),indicating that INBs transformed into a gas layer when they were too small.For substrates with different hydrophobicities,the contact angle after the formation of GML was always larger than 140°and it was weakly correlated with substrate hydrophobicity.The increase in contact angle with gas density represents the evolution of contact angle from macro-to nano-bubble,while the formation of GML may correspond to stable INBs.The potential of mean force curves demonstrated that the substrate with GML could attract gas molecules from a longer distance without the existence of a potential barrier compared with the bare substrate,indicating the potential of GML to act as a gas-collecting panel.Further research indicated that GML can function as a channel to transport gas molecules to INBs,which favors stability of INBs.This research may shed new light on the mechanisms underlying abnormal contact angle and long-term stability of INBs.
