The domestically developed prompt fission neutron uranium logging(PFNUL)instrument for uranium exploration represents a significant advancement in China’s deep uranium mining efforts,although it has considerable chal...The domestically developed prompt fission neutron uranium logging(PFNUL)instrument for uranium exploration represents a significant advancement in China’s deep uranium mining efforts,although it has considerable challenges and complexity.This paper presents the development of a new prompt fission neutron uranium logging instrument(named UNL4)that integrates a domestic D-T neutron generator,two 3He proportional detectors,a lanthanum bromide(LaBr3)gamma-ray detector,and a digital multi-channel pulse amplitude analyzer.The near 3He detector is shielded with 1 mm of cadmium(Cd)and 5 mm of high-density polyethylene(HDPE),enabling efficient epithermal neutron detection,whereas the far 3He detector measures thermal neutrons.A LaBr3 detector is employed for gamma-ray detection,primarily originating from uranium decay.Highspeed analog-to-digital converter(ADC)and field-programmable gate array(FPGA)technologies are used to achieve rapid acquisition and transmission of both dual-energy neutron time spectra and gamma spectra.Moreover,this paper proposes a fast signal-shaping method,which reduces the dead time effect in 3He detectors on neutron time spectra.Experiments conducted in standard model boreholes with varying uranium contents demonstrated a strong linear relationship between the epithermal-to-thermal neutron ratio(E/T)and uranium content,with a fitting coefficient of R2>0.999,confirming the accuracy of the instrument.The E/T value repeatability,in both short-term(3.16%RSD)and long-term(1.2%RSD)measurements,showed excellent stability.In addition,the instrument demonstrated good performance at neutron-logging speeds of 0.3∼3 m∕min(E/T values)and gamma logging speeds of 1∼10 m∕min.Through measurements in two ore sections of the PU model with uranium contents of 87.1 ppm and 45.6 ppm showed that RD remained below approximately 10%at logging speeds of 0–2 m/s in both cases,satisfying the requirements for engineering applications.This marks the first successful development of a neutron-logging instrument for uranium exploration based on a domestic neutron generator and signifies an important contribution to uranium resource exploration.展开更多
OBJECTIVE: To explore the effect of antithymocyte globulin (ATG)/antilymphocyte globulin (ALG) plus kidney-nourishing Chinese medicinal (KNCM) on se- vere aplastic anemia (SAA). METHODS: Twenty-five subjects...OBJECTIVE: To explore the effect of antithymocyte globulin (ATG)/antilymphocyte globulin (ALG) plus kidney-nourishing Chinese medicinal (KNCM) on se- vere aplastic anemia (SAA). METHODS: Twenty-five subjects of severe aplastic anemia were treated with ATG/ALD plus KNCM be- tween 1992 and 2009, and the clinical data before and after treatment were collected and analyzed. RESULTS: Of the 25 patients, 9 were nearly cured, 6 were improved, 5 were in remission, and 5 failed. The overall effective rate was 80.0%. The 3-year, 5-year, 10-year, 15-year survival rate were respec- tively 98.6%, 97.3%, 97.3%, 67.5%, and median sur- vival time was 180 months. Compared to the condi- tions before administering the medication of ATG/ ALG plus KNCM, after 2 weeks, reticulocyte was first improved (P=0.001), one month later, followed by palette (P=0.037), two months later, by neutrophil cell in peripheral blood (P=0.001); three months lat- er, then by the hemoglobin (P=0.012). By conduct- ing 1-year follow-up, 1 case of complication--parox-ysmal nocturnal hemoglobinuria (PNH) was identi- fied and the patient still alive today. CONCLUSION: ATG/ALG fect on SAA and could rate. plus KNCM had better ef- improve patients' survival展开更多
Low thermal conductivity and excellent mechanical strength are essential to pyrochlore A2B2O7 ceramic for environmentalhermal barrier coating applications.To collaboratively tailor the mechanical and thermal propertie...Low thermal conductivity and excellent mechanical strength are essential to pyrochlore A2B2O7 ceramic for environmentalhermal barrier coating applications.To collaboratively tailor the mechanical and thermal properties of A2B2O7 ceramic,a novel high entropy pyrochlore ceramic(La0.3Gd0.3Ca0.4)2(Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)2O7 with significant atomic radius and mass fluctuation is proposed by simultaneously introducing various elements with different valence states at A and B cation sites.The as-synthesized(La0.3Gd0.3Ca0.4)2(Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)2O7 exhibits enhanced fracture toughness(1.68 MPa m1/2),amorphous-like low thermal conductivity(1.45 W m-1 K-1 at 900℃)and matched thermal expansion coefficient(9.0×10-6 K-1 at 1200℃)with Al2O3/Al2O3 CMCs.The extensive misfits in atomic weight,ionic radius among the substitutional cations in combination with the intrinsic oxygen vacancies in the anion sublattice play significant roles in the thermal conductivity reduction of(La0.3Gd0.3Ca0.4)2(Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)2O7 ceramic.The combination of outstanding mechanical and thermal properties indicates that this type of material has a good application prospect for environmentalhermal barrier coatings.展开更多
Ferroelastic rare earth tantalates(RETaO4)are widely researched as the next-generation thermal barrier coatings(TBCs),and RETaO4powders are hugely significant for synthesizing their coatings.The current research...Ferroelastic rare earth tantalates(RETaO4)are widely researched as the next-generation thermal barrier coatings(TBCs),and RETaO4powders are hugely significant for synthesizing their coatings.The current research used chemical co-precipitation within an automated experimental device to synthesize RETaO4(RE=Nd,Sm,Gd,Ho,Er)powders.The device automatically monitored and controlled the solutions'pH,improving the chemical co-precipitation efficiency.The crystal structure and microstructure of the RETaO4powders can be controlled by changing the annealing temperature,and the materials undergo an m'-m phase transition.The m'-RETaO4powders exhibit nano-size grains,while m-RETaO4powders evince micron-size grains,altered by the annealing temperatures.A simultaneous thermal analysis es-timates the reversive ferroelastic tetragonal-monoclinic phase transition temperatures.Overall,this research focuses on the synthesis,crystal structures,microstructures,and phase transition of the fabricated RETaO4powders.展开更多
The acquisition of neutron time spectrum data plays a pivotal role in the precise quantification of uranium via prompt fission neutron uranium logging(PFNUL).However,the impact of the detector dead-time effect remains...The acquisition of neutron time spectrum data plays a pivotal role in the precise quantification of uranium via prompt fission neutron uranium logging(PFNUL).However,the impact of the detector dead-time effect remains paramount in the accurate acquisition of the neutron time spectrum.Therefore,it is imperative for neutron logging instruments to establish a dead-time correction method that is not only uncomplicated but also practical and caters to various logging sites.This study has formulated an innovative equation for determining dead time and introduced a dead-time correction method for the neutron time spectrum,called the“dual flux method.”Using this approach,a logging instrument captures two neutron time spectra under disparate neutron fluxes.By carefully selecting specific“windows”on the neutron time spectrum,the dead time can be accurately ascertained.To substantiate its efficacy and discern the influencing factors,experiments were conducted utilizing a deuterium-tritium(D-T)neutron source,a Helium-3(3He)detector,and polyethylene shielding to collate and analyze the neutron time spectrum under varying neutron fluxes(at high voltages).The findings underscore that the“height”and“spacing”of the two windows are the most pivotal influencing factors.Notably,the“height”(fd)should surpass 2,and the“spacing”twd should exceed 200μs.The dead time of the 3 He detector determined in the experiment was 7.35μs.After the dead-time correction,the deviation of the decay coefficients from the theoretical values for the neutron time spectrum under varying neutron fluxes decreased from 12.4%to within 5%.Similarly,for the PFNUL instrument,the deviation in the decay coefficients decreased from 22.94 to 0.49%after correcting for the dead-time effect.These results demonstrate the exceptional efficacy of the proposed method in ensuring precise uranium quantification.The dual flux method was experimentally validated as a universal approach applicable to pulsed neutron logging instruments and holds immense significance for uranium exploration.展开更多
Prompt fission neutron uranium logging(PFNUL)is an advanced method for utilizing pulsed neutron bombardment of the ore layer and a fission reaction with uranium(235U)to detect the transient neutrons produced by fis...Prompt fission neutron uranium logging(PFNUL)is an advanced method for utilizing pulsed neutron bombardment of the ore layer and a fission reaction with uranium(235U)to detect the transient neutrons produced by fission and then directly measure and quantify uranium;however,the stability and lifetime performance of pulsed neutron sources are the key constraints to its rapid promotion.To address these problems,this study proposes a PFNUL technique for acquiring the time spectrum of dual-energy neutrons(epithermal and thermal neutrons)from the upper and lower detection structures and establishes a novel uranium quantification algorithm based on the ratio of epithermal and thermal neutron time windows(E/T)via a mathematical-physical modeling derivation.Through simulations on well-logging models with di erent uranium contents,the starting and stopping times of the time window(Δt)for uranium quantification in the dual-energy neutron time spectrum are determined to be 200 and 800μs,respectively.The minimum radius and height of the model wells are 60 and 120 cm,respectively,and the E/T values in the time window show an excellent linear relationship with the uranium content.The scale factor is KE/T=1.92 and R2=0.999,which verifies the validity of the E/T uranium quantification algorithm.In addition,experiments were carried out in the Nu series of uranium standard model wells,and the results showed that under di erent neutron source yields,the E/T-based uranium quantification method reduced the relative standard deviation of the scale factor of the uranium content from 33.41%to 1.09%,compared with a single epithermal neutron quantification method.These results prove that the E/T value uranium quantification method is una ected by the change in the neutron source yield,e ectively improves the accuracy and service life of the logging instrument,and has great scientific and popularization value.展开更多
The effect ofωiso andαprecipitation on microstructure,microhardness,tensile properties and impact toughness of Ti-25Nb-10Ta-1Zr-0.2Fe(TNTZF)alloy was investigated.The results showed that the solution treated TNTZF a...The effect ofωiso andαprecipitation on microstructure,microhardness,tensile properties and impact toughness of Ti-25Nb-10Ta-1Zr-0.2Fe(TNTZF)alloy was investigated.The results showed that the solution treated TNTZF alloy with a small amount of nano-sizedωath particles inβmatrix possesses tensile strength of 697 MPa,elongation of~34%,Young’s modulus(YM)of 75 GPa,and impact toughness of 58.7 J/cm2.After aging at relatively lower temperatures of 400℃,the hardness and modulus of the alloy increased significantly,while the plasticity and toughness dropped sharply due to the precipitation ofωiso phase.ωiso phase displayed an ellipsoidal morphology with high volume fraction and a size of about 50 nm after aging at 400℃,leading to the highest hardness of 364 HV and YM of 108 GPa,along with completely embrittlement since elongation and toughness were almost zero.A brittle impact fracture morphology was observed in the alloy,which is dominated by intergranular fracture,with a mixed fracture characteristics of cleavage surfaces,terraces and tiny dimples.When aged at 550℃,plate-likeαdistributed inβmatrix uniformly and inβgrain boundaries in parallel,resulting in the high strength of 804 MPa,as well as lowest YM of 72 GPa,elongation of 9%and toughness of 35.8 J/cm2.The fracture morphology of the alloy aged at 550℃showed a ductile fracture mechanism with a large number of dimples.展开更多
The demand for lightweight,thin,and broadband microwave absorption materials has been grow-ing rapidly with advancements in microelectronics and aerospace technology.Conventional microwave-absorbing materials often su...The demand for lightweight,thin,and broadband microwave absorption materials has been grow-ing rapidly with advancements in microelectronics and aerospace technology.Conventional microwave-absorbing materials often suffer from poor dispersion and limited electromagnetic attenuation capac-ity.Herein,we report a novel microwave absorption material that integrates ZIF-67-derived metal or-ganic frameworks(MOFs)with hollow graphene foams(GrFs)synthesized via chemical vapor deposition.The hollow GrFs act as resonant cavities in enhancing multiple reflections and conductive loss,while the MOFs optimize impedance matching for highly efficient microwave absorption.The MOF@GrF-filled paraffin composites achieve a minimum reflection loss(RLmin)of-50.2 dB at a thickness of 1.3 mm and 7.1 wt.%filler loading,with an impressive microwave absorption efficiency of-38.6 dB/mm.This superior performance is attributed to the synergistic interactions between GrFs and MOFs,integrating conductive loss,cavity confinement,dipole polarization,interfacial polarization,magnetic loss,and im-proved impedance matching.This study paves a way for fabricating high-efficiency microwave absorption materials for application in fields of aerospace,medical equipment,and electronic industry.展开更多
Objective:Diabetic retinopathy(DR)is a top leading cause of blindness worldwide,requiring early detection for timely intervention.Artificial intelligence(AI)has emerged as a promising tool to improve DR screening effi...Objective:Diabetic retinopathy(DR)is a top leading cause of blindness worldwide,requiring early detection for timely intervention.Artificial intelligence(AI)has emerged as a promising tool to improve DR screening efficiency,accessibility,and cost-effectiveness.This study conducted a systematic review of literature and meta-analysis on the economic outcomes of AI-based DR screening.Methods:A systematic review of studies published before September 2024 was conducted throughout PubMed,Scopus,Embase,the Cochrane Library,the National Health Service Economic Evaluation Database,and the Cost-Effectiveness Analysis Registry.Eligible studies were included if they were(1)conducted among type 1 diabetes mellitus or type 2 diabetes mellitus adult diabetic population;(2)studies compared AI-based DR screening strategy to non-AI screening;and(3)performed a cost-effectiveness analysis.Meta-analysis was applied to pool incremental net benefit(INB)across studies stratified by country income and study perspective using a random-effects model.Statistical heterogeneity among studies was assessed using the I2 statistic,Cochrane Q statistics,and meta regression.Results:Nine studies were included in the analysis.From a healthcare system/payer perspective,AI-based DR screening was significantly cost-effective compared to non-AI-based screening,with a pooled INB of 615.77(95%confidence interval[CI]:558.27-673.27).Subgroup analysis showed robust cost-effectiveness of AI-based DR screening in high-income countries(INB=613.62,95%CI:556.06-671.18)and upper-/lower-middle income countries(INB=1,739.97,95%CI:423.13-3,056.82)with low heterogeneity.From a societal perspective,AI-based DR screening was generally cost-effective(INB=5,102.33,95%CI:-815.47-11,020.13),though the result lacked statistical significance and showed high heterogeneity.Conclusions:AI-based DR screening is generally cost-effective from a healthcare system perspective,particularly in high-income countries.Heterogeneity in cost-effectiveness across different perspectives highlights the importance of context-specific evaluations,to accurately evaluate the potential of AI-based DR screening in reducing global healthcare disparities.展开更多
Objective:Diabetic retinopathy(DR)screening using artificial intelligence(AI)has evolved significantly over the past decade.This study aimed to analyze research trends,developments,and patterns in AI-based fundus imag...Objective:Diabetic retinopathy(DR)screening using artificial intelligence(AI)has evolved significantly over the past decade.This study aimed to analyze research trends,developments,and patterns in AI-based fundus image DR screening from 2014 to 2024 through bibliometric analysis.Methods:The study used CiteSpace and Microsoft Excel to analyze 1,172 publications from the Web of Science Core Collection database.The analysis included publication trends over time,citation patterns,institutional collaborations,and the emergence of keywords.Results:From 2014-2022,there was a steady increase in the number of publications,reaching a peak in 2021.India(26%),China(20.05%),and the USA(9.98%)were the major contributors to research output in this field.Among the publication venues,IEEE ACCESS stood out as the leading one,with 44 articles published.The research landscape has evolved from traditional image processing techniques to deep learning approaches.In recent years,there has been a growing emphasis on multimodal AI models.The analysis identified three distinct phases in the development of AI-based DR screening:CNN-based systems(2014-2020),Vision Transformers and innovative learning paradigms(2020-2022),and large foundation models(2022-2024).Conclusions:The field has demonstrated a mature development in traditional AI approaches and is currently in the process of transitioning toward multimodal learning technologies.Future directions suggest an increased focus on the integration of telemedicine,innovative AI algorithms,and real-world implementation of these technologies in real-world settings.展开更多
A multi-dimensional computational fluid dynamics(CFD) approach was proposed in this study aiming to calculate the transfer matrix of an engine exhaust muffler in the conditions with and without mean flow.The CFD model...A multi-dimensional computational fluid dynamics(CFD) approach was proposed in this study aiming to calculate the transfer matrix of an engine exhaust muffler in the conditions with and without mean flow.The CFD model of the muffler with absorptive material defined as porous zone was calibrated with the measured noise reduction without mean flow,and was further employed to study the effect of the mean flow on the acoustic performance of the muffler.Furthermore,the exhaust acoustical source was derived from the calculated transfer matrices of six different additional acoustic loads obtained by the proposed CFD approach as well as the measured tail noise based on a multiload least squares method.Finally,the exhaust noise was predicted based on Thevenin's theorem.The proposed CFD approach was suggested to be able to predict the acoustic performance of a complex muffler considering mean flow(without and with mean flow) and heat transfer,and provide reasonable results of the exhaust noise.展开更多
Layered rock strata are observed to be common during the excavation of tunnels or cavities,and may significantly affect the deformation and failure characteristics of surrounding rock masses due to various complex for...Layered rock strata are observed to be common during the excavation of tunnels or cavities,and may significantly affect the deformation and failure characteristics of surrounding rock masses due to various complex forms and mechanical properties.In this paper,we propose a three-dimensional axisymmetric velocity field for roof collapse of shallow cavities in multi rock layers,by considering the influences of roof cross-section shapes,supporting pressure,ground overload,etc.The internal energy dissipation rate and work rates of external forces corresponding to the velocity field are computed by employing the Hoek-Brown strength criterion and its associated flow rule.Further,the equations of the collapse surfaces and the corresponding weight of collapsing rock masses are derived on the basis of upper bound theorem.Furthermore,we validate the proposed method by comparing the results of numerical calculations and existing research findings.The change laws of the collapse range under varying parameters are obtained for the presence of rectangular and spherical cavities.We also find that the three-dimensional mechanism is relatively safer for engineering designing actually,compared with the traditional two-dimensional mechanism.All these conclusions may provide workable guidelines for the support design of shallow cavities in layered rock strata practically.展开更多
The production of chemicals from lignocellulosic biomass provides opportunities to synthesize chemicals with new functionalities and grow a more sustainable chemical industry. However, new challenges emerge as researc...The production of chemicals from lignocellulosic biomass provides opportunities to synthesize chemicals with new functionalities and grow a more sustainable chemical industry. However, new challenges emerge as research transitions from petrochemistry to biorenewable chemistry. Compared to petrochemisty, the selective conversion of biomass-derived carbohydrates requires most catalytic reactions to take place at low temperatures (< 300 °C) and in the condensed phase to prevent reactants and products from degrading. The stability of heterogeneous catalysts in liquid water above the normal boiling point represents one of the major challenges to overcome. Herein, we review some of the latest advances in the field with an emphasis on the role of carbon materials and carbon nanohybrids in addressing this challenge.展开更多
A series of Fe-Ni-P alloys with different Ni-P contents were prepared by micro-press sintering,and the influence of the contents on the final microstructure and mechanical properties was evaluated.Sample Fe-34(Ni,P)co...A series of Fe-Ni-P alloys with different Ni-P contents were prepared by micro-press sintering,and the influence of the contents on the final microstructure and mechanical properties was evaluated.Sample Fe-34(Ni,P)contains the highest Ni-P content(34.18 wt.%)and its relative density reaches 98.75%,which is attributed to the introduction of an appropriate amount of liquid phase during the sintering process.The main phase of the sample is transformed from a to c phase under the gradual increment of Ni-P content.Simultaneously,a large number of phosphides that have strong inhibition on the migration and expansion of grain boundaries are precipitated on the matrix,and synergistic effect with low-temperature sintering results in partial grain refinement.The samples with high Ni-P content have a high volume of c phase,which makes the sample show the optimal plasticity under the maximum compressive load.And the fracture mode has also changed from brittle fracture to a mixed mode of brittle and ductile fracture.The decrease in the proportion of a phase has a weakening effect on the strength,but the refinement of the grain and the increase in the phosphide are the factors that increase the strength,so that the degree of manifestation varies in different Ni-P levels.展开更多
In history,semiconductor-metal-semiconductor transistor(SMST)was proposed for frequency improvement.However,a general fabrication method is still missing due to the unsolved technological problem of deposition of a ge...In history,semiconductor-metal-semiconductor transistor(SMST)was proposed for frequency improvement.However,a general fabrication method is still missing due to the unsolved technological problem of deposition of a general crystalline semiconductor on metal,and a thinner metal base is also difficult to be fabricated with high quality.Recently,due to the atomic thickness of graphene,the concept of semiconductor-graphene-semiconductor transistor(SGST)has emerged which leads to the renaissance of SMST,however the experimental study is in its infancy.In this letter,SMST and SGST are fabricated using Si membrane transfer.It is found the common base current gain can be improved from about 0.5%in a Si-Au-Si transistor to about 1%in a Si-Gr-Ge one,and to above 10%in a Si-Gr-Si one,which is attributed to both the ultra-thin thickness and the quantum capacitance effect of graphene.展开更多
Accurate recognition of low-contrast targets in complex visual environments is essential for advanced intelligent machine vision systems.Conventional photodetectors often suffer from a weak photoresponse and a linear ...Accurate recognition of low-contrast targets in complex visual environments is essential for advanced intelligent machine vision systems.Conventional photodetectors often suffer from a weak photoresponse and a linear dependence of photocurrent on light intensity,which restricts their ability to capture low-contrast features and makes them susceptible to noise.Inspired by the adaptive mechanisms of the human visual system,we present a molybdenum disulfide(MoS2)phototransistor with tunable sensitivity,in which the gate stack incorporates a heterostructure diode—composed of O-plasma-treated MoS2 and pristine MoS2—that serves as the photosensitive layer.This configuration enables light-intensity-dependent modulation of the diode’s conductance,which dynamically in turn alters the voltage distribution across the gate dielectric and transistor channel,leading to a significant photoresponse.By modulating the gate voltage,the light response range can be finely tuned,maintaining high sensitivity to low-contrast targets while suppressing noise interference.Compared to conventional photodetectors,the proposed device achieves a 1000-fold improvement in sensitivity for low-contrast signal detection and exhibits significantly enhanced noise immunity.The intelligent machine vision system built on this device demonstrates exceptional performance in detecting low-contrast targets,underscoring its promise for next-generation machine vision applications.展开更多
Asthma exacerbations(AEs),especially those triggered by respiratory syncytial virus(RSV),remain clinically intractable because of limited treatment options and significant immune heterogeneity.In this study,we investi...Asthma exacerbations(AEs),especially those triggered by respiratory syncytial virus(RSV),remain clinically intractable because of limited treatment options and significant immune heterogeneity.In this study,we investigated the central cellular and molecular mechanisms driving RSV-induced AEs using a house dust mite-sensitized mouse model.Through macrophage depletion,transcriptomic profiling,and pathway inhibition,we identified monocyte-derived macrophages(Mo-Mφs)as key orchestrators of both antiviral responses and inflammatory amplification.Mechanistically,Mo-Mφs upregulate and secrete cathepsin C(CTSC),which in turn activates a previously unrecognized PR3/p38/RELB signaling axis.This axis established a positive feedback loop,sustaining macrophage activation and pathogenic inflammation.Pharmacological inhibition of CTSC disrupted this loop,leading to reduced lung inflammation,mucus hypersecretion,and airway hyperresponsiveness.However,this intervention was accompanied by a measurable compromise in antiviral immunity.This study reveals a previously unrecognized CTSC-driven positive feedback loop in Mo-Mφs as a core pathogenic mechanism underlying RSV-induced AE.These findings identify CTSC as a promising mechanism-based therapeutic target,highlighting the need to carefully balance inflammation control against the preservation of antiviral immunity.展开更多
The growing demand for microwave absorbing materials to mitigate electromagnetic pollution has driven the exploration of efficient design strategies.However,traditional experimental approaches for optimizing multicomp...The growing demand for microwave absorbing materials to mitigate electromagnetic pollution has driven the exploration of efficient design strategies.However,traditional experimental approaches for optimizing multicomponent and multilayer structures are time-consuming.To rapidly predict and optimize the electromagnetic parameters of microwave absorbing materials,a machine learning-assisted design framework has been proposed.A series of graphene/SiO2(GS)and graphene/BaTiO3(GB)aerogels were prepared by electrospinning technology,and their electromagnetic parameter datasets were used to train a machine learning model.The model achieved a maximum prediction accuracy of 97.3%,significantly accelerating the design process.By integrating the predicted parameters into simulation software,gradient impedance structures were rapidly designed,yielding multifunctional aerogels with an ultrawideband absorption range of 3.26–17.30 GHz at a thickness of 20 mm.Compared with conventional methods,this machine learning strategy reduces the research cycle to mere weeks,enabling the fast and efficient design of high-performance absorbing materials.Additionally,the aerogel demonstrated excellent thermal insulation and soundproofing capabilities,underscoring its multifunctionality.This study demonstrates the potential of machine learning in accelerating the development of next-generation microwave absorbing materials.展开更多
基金supported by the National Natural Science Foundation of China(No.42374226)Jiangxi Provincial Natural Science Foundation(Nos.20232BCJ23006,gpyc20240073,20252BAC240173 and 20243BCE51132)National Key Laboratory of Uranium Resource Exploration-Mining and Nuclear Remote Sensing(2024QZ-TD-09,2024HDX10,2025QZ018).
摘要The domestically developed prompt fission neutron uranium logging(PFNUL)instrument for uranium exploration represents a significant advancement in China’s deep uranium mining efforts,although it has considerable challenges and complexity.This paper presents the development of a new prompt fission neutron uranium logging instrument(named UNL4)that integrates a domestic D-T neutron generator,two 3He proportional detectors,a lanthanum bromide(LaBr3)gamma-ray detector,and a digital multi-channel pulse amplitude analyzer.The near 3He detector is shielded with 1 mm of cadmium(Cd)and 5 mm of high-density polyethylene(HDPE),enabling efficient epithermal neutron detection,whereas the far 3He detector measures thermal neutrons.A LaBr3 detector is employed for gamma-ray detection,primarily originating from uranium decay.Highspeed analog-to-digital converter(ADC)and field-programmable gate array(FPGA)technologies are used to achieve rapid acquisition and transmission of both dual-energy neutron time spectra and gamma spectra.Moreover,this paper proposes a fast signal-shaping method,which reduces the dead time effect in 3He detectors on neutron time spectra.Experiments conducted in standard model boreholes with varying uranium contents demonstrated a strong linear relationship between the epithermal-to-thermal neutron ratio(E/T)and uranium content,with a fitting coefficient of R2>0.999,confirming the accuracy of the instrument.The E/T value repeatability,in both short-term(3.16%RSD)and long-term(1.2%RSD)measurements,showed excellent stability.In addition,the instrument demonstrated good performance at neutron-logging speeds of 0.3∼3 m∕min(E/T values)and gamma logging speeds of 1∼10 m∕min.Through measurements in two ore sections of the PU model with uranium contents of 87.1 ppm and 45.6 ppm showed that RD remained below approximately 10%at logging speeds of 0–2 m/s in both cases,satisfying the requirements for engineering applications.This marks the first successful development of a neutron-logging instrument for uranium exploration based on a domestic neutron generator and signifies an important contribution to uranium resource exploration.
摘要OBJECTIVE: To explore the effect of antithymocyte globulin (ATG)/antilymphocyte globulin (ALG) plus kidney-nourishing Chinese medicinal (KNCM) on se- vere aplastic anemia (SAA). METHODS: Twenty-five subjects of severe aplastic anemia were treated with ATG/ALD plus KNCM be- tween 1992 and 2009, and the clinical data before and after treatment were collected and analyzed. RESULTS: Of the 25 patients, 9 were nearly cured, 6 were improved, 5 were in remission, and 5 failed. The overall effective rate was 80.0%. The 3-year, 5-year, 10-year, 15-year survival rate were respec- tively 98.6%, 97.3%, 97.3%, 67.5%, and median sur- vival time was 180 months. Compared to the condi- tions before administering the medication of ATG/ ALG plus KNCM, after 2 weeks, reticulocyte was first improved (P=0.001), one month later, followed by palette (P=0.037), two months later, by neutrophil cell in peripheral blood (P=0.001); three months lat- er, then by the hemoglobin (P=0.012). By conduct- ing 1-year follow-up, 1 case of complication--parox-ysmal nocturnal hemoglobinuria (PNH) was identi- fied and the patient still alive today. CONCLUSION: ATG/ALG fect on SAA and could rate. plus KNCM had better ef- improve patients' survival
基金support from the National Natural Science Foundation of China under grant No.52302065the Yunnan Fundamental Research Projects under grant Nos.202201BE070001-008 and 202201AU070142the National Key Research and Development Program of China under grant No.2023YFB3711200.
摘要Low thermal conductivity and excellent mechanical strength are essential to pyrochlore A2B2O7 ceramic for environmentalhermal barrier coating applications.To collaboratively tailor the mechanical and thermal properties of A2B2O7 ceramic,a novel high entropy pyrochlore ceramic(La0.3Gd0.3Ca0.4)2(Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)2O7 with significant atomic radius and mass fluctuation is proposed by simultaneously introducing various elements with different valence states at A and B cation sites.The as-synthesized(La0.3Gd0.3Ca0.4)2(Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)2O7 exhibits enhanced fracture toughness(1.68 MPa m1/2),amorphous-like low thermal conductivity(1.45 W m-1 K-1 at 900℃)and matched thermal expansion coefficient(9.0×10-6 K-1 at 1200℃)with Al2O3/Al2O3 CMCs.The extensive misfits in atomic weight,ionic radius among the substitutional cations in combination with the intrinsic oxygen vacancies in the anion sublattice play significant roles in the thermal conductivity reduction of(La0.3Gd0.3Ca0.4)2(Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)2O7 ceramic.The combination of outstanding mechanical and thermal properties indicates that this type of material has a good application prospect for environmentalhermal barrier coatings.
基金the Rare and Precious Metals Material Genetic Engineering Project of Yunnan Province(202102AB080019-1)National Key Research and Development Program of China(2022YFB3708600)the National Natural Science Foundation of China(91960103).
摘要Ferroelastic rare earth tantalates(RETaO4)are widely researched as the next-generation thermal barrier coatings(TBCs),and RETaO4powders are hugely significant for synthesizing their coatings.The current research used chemical co-precipitation within an automated experimental device to synthesize RETaO4(RE=Nd,Sm,Gd,Ho,Er)powders.The device automatically monitored and controlled the solutions'pH,improving the chemical co-precipitation efficiency.The crystal structure and microstructure of the RETaO4powders can be controlled by changing the annealing temperature,and the materials undergo an m'-m phase transition.The m'-RETaO4powders exhibit nano-size grains,while m-RETaO4powders evince micron-size grains,altered by the annealing temperatures.A simultaneous thermal analysis es-timates the reversive ferroelastic tetragonal-monoclinic phase transition temperatures.Overall,this research focuses on the synthesis,crystal structures,microstructures,and phase transition of the fabricated RETaO4powders.
基金supported by the National Natural Science Foundation of China(No.42374226)Jiangxi Provincial Natural Science Foundation(Nos.20232BAB201043 and 20232BCJ23006)+2 种基金Nuclear Energy Development Project(20201192-01)National Key Laboratory of Uranium Resource Exploration-Mining and Nuclear Remote Sensing(ECUT)(2024QZ-TD-09)Fundamental Science on Radioactive Geology and Exploration Technology Laboratory(2022RGET20).
摘要The acquisition of neutron time spectrum data plays a pivotal role in the precise quantification of uranium via prompt fission neutron uranium logging(PFNUL).However,the impact of the detector dead-time effect remains paramount in the accurate acquisition of the neutron time spectrum.Therefore,it is imperative for neutron logging instruments to establish a dead-time correction method that is not only uncomplicated but also practical and caters to various logging sites.This study has formulated an innovative equation for determining dead time and introduced a dead-time correction method for the neutron time spectrum,called the“dual flux method.”Using this approach,a logging instrument captures two neutron time spectra under disparate neutron fluxes.By carefully selecting specific“windows”on the neutron time spectrum,the dead time can be accurately ascertained.To substantiate its efficacy and discern the influencing factors,experiments were conducted utilizing a deuterium-tritium(D-T)neutron source,a Helium-3(3He)detector,and polyethylene shielding to collate and analyze the neutron time spectrum under varying neutron fluxes(at high voltages).The findings underscore that the“height”and“spacing”of the two windows are the most pivotal influencing factors.Notably,the“height”(fd)should surpass 2,and the“spacing”twd should exceed 200μs.The dead time of the 3 He detector determined in the experiment was 7.35μs.After the dead-time correction,the deviation of the decay coefficients from the theoretical values for the neutron time spectrum under varying neutron fluxes decreased from 12.4%to within 5%.Similarly,for the PFNUL instrument,the deviation in the decay coefficients decreased from 22.94 to 0.49%after correcting for the dead-time effect.These results demonstrate the exceptional efficacy of the proposed method in ensuring precise uranium quantification.The dual flux method was experimentally validated as a universal approach applicable to pulsed neutron logging instruments and holds immense significance for uranium exploration.
基金supported by the National Natural Science Foundation of China(No.42374226)Jiangxi Provincial Natural Science Foundation(Nos.20232BAB201043,gpyc20240073,and 20232BCJ23006)+2 种基金Nuclear Energy Development Project(20201192-01)Fundamental Science on Radioactive Geology and Exploration Technology Laboratory(2022RGET20)National Key Laboratory of Uranium Resource Exploration-Mining and Nuclear Remote Sensing(ECUT)(2024QZ-TD-09)。
摘要Prompt fission neutron uranium logging(PFNUL)is an advanced method for utilizing pulsed neutron bombardment of the ore layer and a fission reaction with uranium(235U)to detect the transient neutrons produced by fission and then directly measure and quantify uranium;however,the stability and lifetime performance of pulsed neutron sources are the key constraints to its rapid promotion.To address these problems,this study proposes a PFNUL technique for acquiring the time spectrum of dual-energy neutrons(epithermal and thermal neutrons)from the upper and lower detection structures and establishes a novel uranium quantification algorithm based on the ratio of epithermal and thermal neutron time windows(E/T)via a mathematical-physical modeling derivation.Through simulations on well-logging models with di erent uranium contents,the starting and stopping times of the time window(Δt)for uranium quantification in the dual-energy neutron time spectrum are determined to be 200 and 800μs,respectively.The minimum radius and height of the model wells are 60 and 120 cm,respectively,and the E/T values in the time window show an excellent linear relationship with the uranium content.The scale factor is KE/T=1.92 and R2=0.999,which verifies the validity of the E/T uranium quantification algorithm.In addition,experiments were carried out in the Nu series of uranium standard model wells,and the results showed that under di erent neutron source yields,the E/T-based uranium quantification method reduced the relative standard deviation of the scale factor of the uranium content from 33.41%to 1.09%,compared with a single epithermal neutron quantification method.These results prove that the E/T value uranium quantification method is una ected by the change in the neutron source yield,e ectively improves the accuracy and service life of the logging instrument,and has great scientific and popularization value.
基金supported by the Natural Science Foundation of Hunan Province(2023JJ50055,2023JJ30081)the Science Research Foundation of Hunan Provincial Education Department(21A0546)+1 种基金the Youth Project of the National Natural Science Foundation of China(62003056)the Open Fund of Hunan Engineering Research Center of Research and Development of Degradable Materials and Molding Technology(2023KFKT05).
摘要The effect ofωiso andαprecipitation on microstructure,microhardness,tensile properties and impact toughness of Ti-25Nb-10Ta-1Zr-0.2Fe(TNTZF)alloy was investigated.The results showed that the solution treated TNTZF alloy with a small amount of nano-sizedωath particles inβmatrix possesses tensile strength of 697 MPa,elongation of~34%,Young’s modulus(YM)of 75 GPa,and impact toughness of 58.7 J/cm2.After aging at relatively lower temperatures of 400℃,the hardness and modulus of the alloy increased significantly,while the plasticity and toughness dropped sharply due to the precipitation ofωiso phase.ωiso phase displayed an ellipsoidal morphology with high volume fraction and a size of about 50 nm after aging at 400℃,leading to the highest hardness of 364 HV and YM of 108 GPa,along with completely embrittlement since elongation and toughness were almost zero.A brittle impact fracture morphology was observed in the alloy,which is dominated by intergranular fracture,with a mixed fracture characteristics of cleavage surfaces,terraces and tiny dimples.When aged at 550℃,plate-likeαdistributed inβmatrix uniformly and inβgrain boundaries in parallel,resulting in the high strength of 804 MPa,as well as lowest YM of 72 GPa,elongation of 9%and toughness of 35.8 J/cm2.The fracture morphology of the alloy aged at 550℃showed a ductile fracture mechanism with a large number of dimples.
基金supported by the National Natural Science Foundation of China(Nos.52472056 and 52130209)the Science and Technology Program of Liaoning Province,China(No.2023JH26/10300015)+1 种基金the Natural Science Foundation of Liaoning Province,China(No.2022-KF-12-04)the Opening Foundation of Shanxi Key Laboratory of Nano&Functional Composite Materi-als(No.NFCM202102).
摘要The demand for lightweight,thin,and broadband microwave absorption materials has been grow-ing rapidly with advancements in microelectronics and aerospace technology.Conventional microwave-absorbing materials often suffer from poor dispersion and limited electromagnetic attenuation capac-ity.Herein,we report a novel microwave absorption material that integrates ZIF-67-derived metal or-ganic frameworks(MOFs)with hollow graphene foams(GrFs)synthesized via chemical vapor deposition.The hollow GrFs act as resonant cavities in enhancing multiple reflections and conductive loss,while the MOFs optimize impedance matching for highly efficient microwave absorption.The MOF@GrF-filled paraffin composites achieve a minimum reflection loss(RLmin)of-50.2 dB at a thickness of 1.3 mm and 7.1 wt.%filler loading,with an impressive microwave absorption efficiency of-38.6 dB/mm.This superior performance is attributed to the synergistic interactions between GrFs and MOFs,integrating conductive loss,cavity confinement,dipole polarization,interfacial polarization,magnetic loss,and im-proved impedance matching.This study paves a way for fabricating high-efficiency microwave absorption materials for application in fields of aerospace,medical equipment,and electronic industry.
基金supported by the Global STEM Professorship Scheme(P0046113)Henry G.Leong Endowed Professorship in Elderly Vision Health.
摘要Objective:Diabetic retinopathy(DR)is a top leading cause of blindness worldwide,requiring early detection for timely intervention.Artificial intelligence(AI)has emerged as a promising tool to improve DR screening efficiency,accessibility,and cost-effectiveness.This study conducted a systematic review of literature and meta-analysis on the economic outcomes of AI-based DR screening.Methods:A systematic review of studies published before September 2024 was conducted throughout PubMed,Scopus,Embase,the Cochrane Library,the National Health Service Economic Evaluation Database,and the Cost-Effectiveness Analysis Registry.Eligible studies were included if they were(1)conducted among type 1 diabetes mellitus or type 2 diabetes mellitus adult diabetic population;(2)studies compared AI-based DR screening strategy to non-AI screening;and(3)performed a cost-effectiveness analysis.Meta-analysis was applied to pool incremental net benefit(INB)across studies stratified by country income and study perspective using a random-effects model.Statistical heterogeneity among studies was assessed using the I2 statistic,Cochrane Q statistics,and meta regression.Results:Nine studies were included in the analysis.From a healthcare system/payer perspective,AI-based DR screening was significantly cost-effective compared to non-AI-based screening,with a pooled INB of 615.77(95%confidence interval[CI]:558.27-673.27).Subgroup analysis showed robust cost-effectiveness of AI-based DR screening in high-income countries(INB=613.62,95%CI:556.06-671.18)and upper-/lower-middle income countries(INB=1,739.97,95%CI:423.13-3,056.82)with low heterogeneity.From a societal perspective,AI-based DR screening was generally cost-effective(INB=5,102.33,95%CI:-815.47-11,020.13),though the result lacked statistical significance and showed high heterogeneity.Conclusions:AI-based DR screening is generally cost-effective from a healthcare system perspective,particularly in high-income countries.Heterogeneity in cost-effectiveness across different perspectives highlights the importance of context-specific evaluations,to accurately evaluate the potential of AI-based DR screening in reducing global healthcare disparities.
基金supported by the National Natural Science Foundation of China(62402009)the Science and Technology Development Fund of Macao(0013-2024-ITP1).
摘要Objective:Diabetic retinopathy(DR)screening using artificial intelligence(AI)has evolved significantly over the past decade.This study aimed to analyze research trends,developments,and patterns in AI-based fundus image DR screening from 2014 to 2024 through bibliometric analysis.Methods:The study used CiteSpace and Microsoft Excel to analyze 1,172 publications from the Web of Science Core Collection database.The analysis included publication trends over time,citation patterns,institutional collaborations,and the emergence of keywords.Results:From 2014-2022,there was a steady increase in the number of publications,reaching a peak in 2021.India(26%),China(20.05%),and the USA(9.98%)were the major contributors to research output in this field.Among the publication venues,IEEE ACCESS stood out as the leading one,with 44 articles published.The research landscape has evolved from traditional image processing techniques to deep learning approaches.In recent years,there has been a growing emphasis on multimodal AI models.The analysis identified three distinct phases in the development of AI-based DR screening:CNN-based systems(2014-2020),Vision Transformers and innovative learning paradigms(2020-2022),and large foundation models(2022-2024).Conclusions:The field has demonstrated a mature development in traditional AI approaches and is currently in the process of transitioning toward multimodal learning technologies.Future directions suggest an increased focus on the integration of telemedicine,innovative AI algorithms,and real-world implementation of these technologies in real-world settings.
摘要A multi-dimensional computational fluid dynamics(CFD) approach was proposed in this study aiming to calculate the transfer matrix of an engine exhaust muffler in the conditions with and without mean flow.The CFD model of the muffler with absorptive material defined as porous zone was calibrated with the measured noise reduction without mean flow,and was further employed to study the effect of the mean flow on the acoustic performance of the muffler.Furthermore,the exhaust acoustical source was derived from the calculated transfer matrices of six different additional acoustic loads obtained by the proposed CFD approach as well as the measured tail noise based on a multiload least squares method.Finally,the exhaust noise was predicted based on Thevenin's theorem.The proposed CFD approach was suggested to be able to predict the acoustic performance of a complex muffler considering mean flow(without and with mean flow) and heat transfer,and provide reasonable results of the exhaust noise.
基金funded by National Natural Science Foundation of China(Nos.51704177,51809159)A Project of Shandong Province Higher Educational Science and Technology Program(No.J16LG04)+2 种基金Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering(No.Z018005)Shandong Co-Innovation Center for Disaster Prevention and Mitigation of Civil Structures(No.XTP201911)the Doctoral Research Fund of Shandong Jianzhu University(No.XNBS1501).
摘要Layered rock strata are observed to be common during the excavation of tunnels or cavities,and may significantly affect the deformation and failure characteristics of surrounding rock masses due to various complex forms and mechanical properties.In this paper,we propose a three-dimensional axisymmetric velocity field for roof collapse of shallow cavities in multi rock layers,by considering the influences of roof cross-section shapes,supporting pressure,ground overload,etc.The internal energy dissipation rate and work rates of external forces corresponding to the velocity field are computed by employing the Hoek-Brown strength criterion and its associated flow rule.Further,the equations of the collapse surfaces and the corresponding weight of collapsing rock masses are derived on the basis of upper bound theorem.Furthermore,we validate the proposed method by comparing the results of numerical calculations and existing research findings.The change laws of the collapse range under varying parameters are obtained for the presence of rectangular and spherical cavities.We also find that the three-dimensional mechanism is relatively safer for engineering designing actually,compared with the traditional two-dimensional mechanism.All these conclusions may provide workable guidelines for the support design of shallow cavities in layered rock strata practically.
基金supported by the National Science Foundation under NSF Grant Number EEC-0813570the Iowa Energy Center under IEC Grant Number 13-01supported by the U.S. Department of Energy-Laboratory Royalty Revenue through Contract No. DE-AC02-07CH11358.
摘要The production of chemicals from lignocellulosic biomass provides opportunities to synthesize chemicals with new functionalities and grow a more sustainable chemical industry. However, new challenges emerge as research transitions from petrochemistry to biorenewable chemistry. Compared to petrochemisty, the selective conversion of biomass-derived carbohydrates requires most catalytic reactions to take place at low temperatures (< 300 °C) and in the condensed phase to prevent reactants and products from degrading. The stability of heterogeneous catalysts in liquid water above the normal boiling point represents one of the major challenges to overcome. Herein, we review some of the latest advances in the field with an emphasis on the role of carbon materials and carbon nanohybrids in addressing this challenge.
基金supported by National Key Research and Development Program of China(Grant No.2018YFB2001901)Sichuan Science and Technology Program(Grant No.2020YFG0370)Fundamental Research Funds for the Central Universities of China(Grant No.2682020CX05).
摘要A series of Fe-Ni-P alloys with different Ni-P contents were prepared by micro-press sintering,and the influence of the contents on the final microstructure and mechanical properties was evaluated.Sample Fe-34(Ni,P)contains the highest Ni-P content(34.18 wt.%)and its relative density reaches 98.75%,which is attributed to the introduction of an appropriate amount of liquid phase during the sintering process.The main phase of the sample is transformed from a to c phase under the gradual increment of Ni-P content.Simultaneously,a large number of phosphides that have strong inhibition on the migration and expansion of grain boundaries are precipitated on the matrix,and synergistic effect with low-temperature sintering results in partial grain refinement.The samples with high Ni-P content have a high volume of c phase,which makes the sample show the optimal plasticity under the maximum compressive load.And the fracture mode has also changed from brittle fracture to a mixed mode of brittle and ductile fracture.The decrease in the proportion of a phase has a weakening effect on the strength,but the refinement of the grain and the increase in the phosphide are the factors that increase the strength,so that the degree of manifestation varies in different Ni-P levels.
基金supported by National Natural Science Foundation of China(Nos.62074150,61704175)Chinese Academy of Sciences(SYNL Young Talent Project 2020,SKLA-2019-03,Project Young Merit Scholars)。
摘要In history,semiconductor-metal-semiconductor transistor(SMST)was proposed for frequency improvement.However,a general fabrication method is still missing due to the unsolved technological problem of deposition of a general crystalline semiconductor on metal,and a thinner metal base is also difficult to be fabricated with high quality.Recently,due to the atomic thickness of graphene,the concept of semiconductor-graphene-semiconductor transistor(SGST)has emerged which leads to the renaissance of SMST,however the experimental study is in its infancy.In this letter,SMST and SGST are fabricated using Si membrane transfer.It is found the common base current gain can be improved from about 0.5%in a Si-Au-Si transistor to about 1%in a Si-Gr-Ge one,and to above 10%in a Si-Gr-Si one,which is attributed to both the ultra-thin thickness and the quantum capacitance effect of graphene.
基金supported by the National Key Research and Development Program of China(2021YFA1200801)the National Natural Science Foundation of China(No.62304226,52188101,62450124,62125406)+9 种基金the China Postdoctoral Science Foundation(2024T170946,2023M733574)the Excellent Youth Fund Project of Liaoning Province(2023JH3/10200003)the Outstanding Youth Fund Project of Liaoning Province(2025JH6/101100015)the Special Projects of the Central Government in Guidance of Local Science and Technology Development(2024010859-JH6/1006)the Special Research Assistantship Project of the Chinese Academy of Sciences(E455L502)the China Postdoctoral Science Foundation under Grant Number GZB20230776the Liaoning Provincial Key Laboratory of Public Opinion and Network Security Information System(d252453002)the Artificial Intelligence Technology Innovation Project of Liaoning Province(Grant No.2023JH26/10300019)the Young Top-notch Talents of the National High-level Talent Special Support Program,the basic scientific research project of universities funded by the Liaoning Provincial Department of Education(LJ212510140016)the Liaoning Province High-quality Industry-University Cooperation and Collaborative Education Project(241201160090747)。
摘要Accurate recognition of low-contrast targets in complex visual environments is essential for advanced intelligent machine vision systems.Conventional photodetectors often suffer from a weak photoresponse and a linear dependence of photocurrent on light intensity,which restricts their ability to capture low-contrast features and makes them susceptible to noise.Inspired by the adaptive mechanisms of the human visual system,we present a molybdenum disulfide(MoS2)phototransistor with tunable sensitivity,in which the gate stack incorporates a heterostructure diode—composed of O-plasma-treated MoS2 and pristine MoS2—that serves as the photosensitive layer.This configuration enables light-intensity-dependent modulation of the diode’s conductance,which dynamically in turn alters the voltage distribution across the gate dielectric and transistor channel,leading to a significant photoresponse.By modulating the gate voltage,the light response range can be finely tuned,maintaining high sensitivity to low-contrast targets while suppressing noise interference.Compared to conventional photodetectors,the proposed device achieves a 1000-fold improvement in sensitivity for low-contrast signal detection and exhibits significantly enhanced noise immunity.The intelligent machine vision system built on this device demonstrates exceptional performance in detecting low-contrast targets,underscoring its promise for next-generation machine vision applications.
基金National Natural Science Foundation of China grant 82570053(CL),82370042(CL),82330001(WX),82300045(LY),82090015(WX)Hunan Natural Science Foundation 2023JJ10085(CL),2023JJ30726(HL),2023JJ40803(LY),2024JJ6658(LW)+3 种基金Key Research and Development Program of Hunan Province 2026JK2084(CL)Fund Project of the Hunan Provincial Department of Finance 159990009(CL)Research Project of Hunan Provincial Health Commission grant 202306019386(DL),202302018988(CL)Changsha Natural Science Foundation grant kq2208293(HL),kq2403142(DL).
摘要Asthma exacerbations(AEs),especially those triggered by respiratory syncytial virus(RSV),remain clinically intractable because of limited treatment options and significant immune heterogeneity.In this study,we investigated the central cellular and molecular mechanisms driving RSV-induced AEs using a house dust mite-sensitized mouse model.Through macrophage depletion,transcriptomic profiling,and pathway inhibition,we identified monocyte-derived macrophages(Mo-Mφs)as key orchestrators of both antiviral responses and inflammatory amplification.Mechanistically,Mo-Mφs upregulate and secrete cathepsin C(CTSC),which in turn activates a previously unrecognized PR3/p38/RELB signaling axis.This axis established a positive feedback loop,sustaining macrophage activation and pathogenic inflammation.Pharmacological inhibition of CTSC disrupted this loop,leading to reduced lung inflammation,mucus hypersecretion,and airway hyperresponsiveness.However,this intervention was accompanied by a measurable compromise in antiviral immunity.This study reveals a previously unrecognized CTSC-driven positive feedback loop in Mo-Mφs as a core pathogenic mechanism underlying RSV-induced AE.These findings identify CTSC as a promising mechanism-based therapeutic target,highlighting the need to carefully balance inflammation control against the preservation of antiviral immunity.
基金financially supported by the Key R&D Program of Zhejiang(No.2024SSYS0086)the National Natural Science Foundation of China(No.52302035).
摘要The growing demand for microwave absorbing materials to mitigate electromagnetic pollution has driven the exploration of efficient design strategies.However,traditional experimental approaches for optimizing multicomponent and multilayer structures are time-consuming.To rapidly predict and optimize the electromagnetic parameters of microwave absorbing materials,a machine learning-assisted design framework has been proposed.A series of graphene/SiO2(GS)and graphene/BaTiO3(GB)aerogels were prepared by electrospinning technology,and their electromagnetic parameter datasets were used to train a machine learning model.The model achieved a maximum prediction accuracy of 97.3%,significantly accelerating the design process.By integrating the predicted parameters into simulation software,gradient impedance structures were rapidly designed,yielding multifunctional aerogels with an ultrawideband absorption range of 3.26–17.30 GHz at a thickness of 20 mm.Compared with conventional methods,this machine learning strategy reduces the research cycle to mere weeks,enabling the fast and efficient design of high-performance absorbing materials.Additionally,the aerogel demonstrated excellent thermal insulation and soundproofing capabilities,underscoring its multifunctionality.This study demonstrates the potential of machine learning in accelerating the development of next-generation microwave absorbing materials.