Mesenchymal stem cells(MSCs)are pluripotent stem cells isolated from human tissues.Due to their strong self-renewal capacity,pluripotency,and immunomodulatory properties,MSCs have garnered significant attention in cel...Mesenchymal stem cells(MSCs)are pluripotent stem cells isolated from human tissues.Due to their strong self-renewal capacity,pluripotency,and immunomodulatory properties,MSCs have garnered significant attention in cell therapy and tissue regeneration.However,cellular senescence induced by replication or external stimuli can impair MSC proliferation and differentiation,making it crucial to develop interventions that delay or reverse the senescence process.From a traditional Chinese medicine perspective,senescence stems from spleen and stomach deficiency,kidney deficiency,and related factors;thus,medicines that tonify the kidney and promote Qi and blood circulation play vital roles in anti-senescence therapy.Chinese medicine,characterized by low toxicity and multi-target,multi-functional properties,has become prominent in anti-senescence research.This paper examines the MSC senescence process by discussing its causes,characteristics,and mechanisms,then summarizes how active ingredients in herbal medicines and natural compounds reverse MSC senescence,facilitating the discovery of additional anti-senescence Chinese medicines and their effective components.展开更多
A RadioFrequency Quadrupole(RFQ)cooler-buncher system was developed and implemented in a collinear laser spectroscopy setup.This system converts a continuous ion beam into short bunches while enhancing the beam qualit...A RadioFrequency Quadrupole(RFQ)cooler-buncher system was developed and implemented in a collinear laser spectroscopy setup.This system converts a continuous ion beam into short bunches while enhancing the beam quality and reducing the energy spread.The functionality of the RFQ cooler buncher was verified through offline tests with stable rubidium and indium beams delivered from a surface ion source and a laser ablation ion source,respectively.Bunched ion beams with a full width at half maximum of approximately 2μs in the time-of-flight spectrum were successfully achieved with a transmission efficiency exceeding 60%.The implementation of the RFQ cooler-buncher system also significantly improved the overall transmission efficiency of the collinear laser spectroscopy setup.展开更多
The pervasive accumulation of plastic waste exacerbates environmental degradation and undermines resource circularity.Selective thermal catalysis emerges as a transformative pathway for valorizing waste plastics into ...The pervasive accumulation of plastic waste exacerbates environmental degradation and undermines resource circularity.Selective thermal catalysis emerges as a transformative pathway for valorizing waste plastics into value-added chemicals,yet persistent challenges in catalytic activity and product selectivity demand systematic resolution.This review decodes cutting-edge advances in thermal depolymerization by converging two critical dimensions:atomic-scale active site engineering-where rational design of coordination features and interfacial architectures regulates C-C cleavage energetics and intermediate adsorption-and macromolecular-scale manipulation of polymer transient states-leveraging nanoconfinement effects,chain folding dynamics,and thermal fragmentation to accelerate conversion kinetics.We further highlight breakthroughs in operando char-acterization techniques that resolve time-evolving reaction coordinates across catalytic systems.By establishing multiscale structure-activity relationships linking catalyst configurations to polymer dynamics,this analysis derives design paradigms for next-generation upcycling systems.These principles enable economically viable,industrially scalable plastic valorization while charting a strategic trajectory toward carbon-circular economies.展开更多
As China's high-speed railway technology advances,high-speed trains have emerged as a pivotal mode of transportation,instrumental in facilitating passenger and freight mobility while fostering robust regional eco-...As China's high-speed railway technology advances,high-speed trains have emerged as a pivotal mode of transportation,instrumental in facilitating passenger and freight mobility while fostering robust regional eco-nomic and trade interactions.Nonetheless,the safety of train operations remains a paramount concern,prompting extensive research into the dynamic behavior of critical components,which is essential to ensuring seamless and secure transportation services.This article commences by comprehensively reviewing the current landscape and evolutionary trajectory of dynamic model analysis for both traditional bearings and axle box bearings.Emphasis is placed on elucidating the profound influence of diverse bearing fault types on the system's kinematic state,alongside delving into the research methodologies employed in developing multi-physics field coupling models.Subsequently,it expounds on the content of investigations focusing on various wheel and track impairments,grounded in the dynamic modeling of the bearing vehicle coupling system.Concurrently,the intricate interplay between wheel-rail excitation and axle box bearing faults on the system's performance is elucidated.Concludingly,the article underscores the inadequacy of current multi-source fault diagnosis meth-odologies in tackling the intricacies of complex train operating environments,thereby highlighting its sig-nificance as a pressing and vital research agenda for the future.展开更多
Ammonia(NH3)has been widely recognized as a key precursor of atmospheric secondary aerosol formation.Vehicle emission is a major source of urban atmospheric NH3.With the tightening of emission standards and the growin...Ammonia(NH3)has been widely recognized as a key precursor of atmospheric secondary aerosol formation.Vehicle emission is a major source of urban atmospheric NH3.With the tightening of emission standards and the growing trend of vehicle fleet electrification,it is imperative to update the emission factors for NH3 from real-world on-road fleets.In this study,a tunnel measurement was conducted in the urban area of Tianjin,China.The fleet-average NH3 emission factor(EF)was 11.2 mg/(km·veh),significantly lower than those in previous studies,showing the benefit of emission standard updating.Through a multiple linear regression analysis,the EFs of light-duty gasoline vehicles,light-duty diesel vehicles,and heavy-duty diesel vehicles(HDDVs)were estimated to be 5.7±0.6 mg/(km·veh),40.8±5.1 mg/(km·veh),and 160.2±16.6 mg/(km·veh),respectively.Based on the results from this study,we found that HDDVs,which comprise<3%of the total vehicles may contribute approximately 22%of total NH3 emissions in Tianjin.Our results highlight NH3 emissions from HDDVs,a previously potentially overlooked source of NH3 emissions in urban areas.The actual on-road NH3 emissions from HDDVs may exceed current expectations,posing a growing concern for the future.展开更多
MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices tak...MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices take the advantage of the exceptional electrical conductivity,mechanical flexibility,and biocompatibility of two-dimensional MXenes to enable noninvasive,tear-based monitoring of key physiological markers such as intraocular pressure and glucose levels.Recent developments focus on the integration of transparent MXene films into the conventional lens materials,allowing multifunctional performance including photothermal therapy,antimicrobial and anti-inflammation protection,and dehydration resistance.These innovations offer promising strategies for ocular disease management and eye protection.In addition to their multifunctionality,improvements in MXene synthesis and device engineering have enhanced the stability,transparency,and wearability of these lenses.Despite these advances,challenges remain in long-term biostability,scalable production,and integration with wireless communication systems.This review summarizes the current progress,key challenges,and future directions of MXene-based smart contact lenses,highlighting their transformative potential in next-generation digital healthcare and ophthalmic care.展开更多
Rapid industrialization in China has caused significant environmental challenges,particularly heavy metal pollution from mine tailings.Toxic heavy metals such as lead(Pb),cadmium(Cd),and mercury(Hg)are released during...Rapid industrialization in China has caused significant environmental challenges,particularly heavy metal pollution from mine tailings.Toxic heavy metals such as lead(Pb),cadmium(Cd),and mercury(Hg)are released during the processing of mining wastewater and leaching of mine tailings.Owing to their excellent physicochemical properties,cementitious materials are widely used for the solidification/stabilization of heavy metals,immobilizing heavy metals via two distinct mechanisms.Physically,their favorable characteristics,including high mechanical strength,low porosity,and durable matrix,create effective barriers.Chemically,the alkaline environment facilitates the precipitation of metal hydroxides/carbonates.Conversely,hydration products(calcium silicate hydrate gels and ettringite)contribute to immobilization through adsorption and physical encapsulation.This study systematically investigated the migration mechanisms of heavy metal contaminants in mine tailings;further,it elucidated the multifaceted immobilization pathways of cementitious materials,which involve synergistic adsorption,precipitation,and encapsulation by hydration products combined with homocrystalline substitution.A comprehensive analysis indicated that cementitious materials significantly reduced the mobility and bioavailability of heavy metals.Nonetheless,their long-term stability and potential environmental impact require further investigation.This study aims to provide theoretical support for environmental management and sustainable resource utilization,and to explore the broader application potential of cementitious technology for heavy metal stabilization,thereby establishing a theoretical foundation for future research on heavy metals in low-cement solidified/stabilized tailings.展开更多
Objectives:Phosphodiesterase 1A(PDE1A)regulates intracellular cyclic nucleotide signaling and has been implicated in tumor progression,but its clinical relevance and functional role in epithelial ovarian cancer(EOC),p...Objectives:Phosphodiesterase 1A(PDE1A)regulates intracellular cyclic nucleotide signaling and has been implicated in tumor progression,but its clinical relevance and functional role in epithelial ovarian cancer(EOC),particularly in relation to the response to platinum remain unclear.This study aimed to evaluate the clinical significance of PDE1A in EOG and to clarify its functional role in tumor progression and response to platinum-based chemotherapy.Methods:PDE1A mRNA and protein levels were analyzed using public databases,RNA sequencing,and immunohistochemistry.Correlations between PDE1A expression,clinicopathological features,and prognosis were assessed.Functional roles were investigated in ovarian cancer cell lines.Results:PDE1A was significantly overexpressed in EOC tissues compared with that in normal ovarian epithelial tissues.Overexpression correlated with advanced International Federation of Gynecology and Obstetrics(FIGO)stage,poor tumor grade,and reduced response to platinum-based chemotherapy.High PDE1A levels were linked to worse disease-free survival and overall survival,and multivariate analysis confirmed PDE1A as an independent prognostic factor.To elucidate its functional role,we performed in vitro experiments showing that PDE1A knockdown suppressed cell proliferation and colony formation,induced G1 arrest,and downregulatedβ-catenin signaling with reduced cyclin D1 and c-Myc expression.Notably,these inhibitory effects were partially rescued by lithium chloride(LiCl),a Wingless-related integration site(Wnt)/β-catenin activator.Conclusions:In conclusion,our findings identify PDE1A as a Wnt/β-catenin-linked biomarker of tumor progression and platinum resistance in EOC and provide a biological rationale for further investigation of PDE1A-targeted strategies in preclinical models.展开更多
This study aims to achieve a synergy of strength and ductility in magnesium-based nanocomposite materials through the design of a dual-heterostructure. Utilizing ball milling and hot extrusion, a nano-TiC/AZ61 composi...This study aims to achieve a synergy of strength and ductility in magnesium-based nanocomposite materials through the design of a dual-heterostructure. Utilizing ball milling and hot extrusion, a nano-TiC/AZ61 composite featuring particle-rare coarse grain (CG) and particle-rich fine grain (FG) zones was successfully fabricated. Experimental results demonstrated that compared with the homogeneous structure, the dual-heterostructure composite achieved a significant increase in elongation by 116 % and a remarkable 165 % improvement in the strength-ductility product (SDP), while maintaining a high ultimate tensile strength (UTS) of 417±4 MPa. This substantial performance enhancement is primarily attributed to the additional strain hardening induced by hetero-deformation-induced (HDI) strain hardening and crack-blunting capabilities, as elucidated by microstructural characterization and crystal plasticity finite element modeling (CPFEM). Notably, the strain hardening contribution from the CG zones at the early stage of deformation (≤ 45 % of total plastic deformation amount) is minimal but increases significantly during the subsequent deformation stages. The dislocation increment rate in CG zones (219 %) is observed to be more than double that in FG zones (95 %), attributed to the large grain size and low dislocation density in CG zones, which provide more space for dislocation storage. In addition, the aggravated deformation inhomogeneity as deformation progresses leads to an increase in geometrically necessary dislocations (GNDs) generation near the heterogeneous interface, thereby enhancing HDI hardening. Fracture mechanism analysis indicated that the cracks mainly initiate in the FG region and are effectively blunted upon their propagation to the CG region, necessitating increased energy consumption and indicating higher fracture toughness for the dual-heterostructure composites. This study validates the effectiveness of the dual-heterostructure design in magnesium-based composites, providing a novel understanding of the deformation mechanism through both experimental analysis and CPFEM, paving the way for the development of high-performance, lightweight structural materials.展开更多
Leveraging unique resource advantages of traditional Chinese medicine(TCM)to achieve innovative breakthroughs in research constitutes a core strategic imperative for its inheritance,innovation and development.At prese...Leveraging unique resource advantages of traditional Chinese medicine(TCM)to achieve innovative breakthroughs in research constitutes a core strategic imperative for its inheritance,innovation and development.At present,the academic advances and scientific achievements in TCM serve as a key driving force for industry growth and advancement of the inheritance and innovation of TCM.To continuously strengthen the leading role of academic research,the China Association of Chinese Medicine(CACM)attaches great importance to the latest research directions and academic results in TCM,and spotlights key advances and emerging trends in TCM scholarship.Since 2020,CACM has conducted the selection and release of the“top 10 academic advances in traditional Chinese medicine”on a yearly basis.The selection of“top 10 academic advances in traditional Chinese medicine in 2024”prioritized research that addresses clinical needs,answers scientific questions and drives industrial development.Highlighting exploratory,forward-looking,innovative and groundbreaking achievements,the following 10 breakthroughs were selected through a process of collection,systematic review and expert evaluation:New advances in prevention and treatment of digestive system diseases with“brain-gut”cross-organ strategy,high-level evidence support for prevention and treatment of cardiovascular disease(CVD)continuum with TCM,important breakthrough in the research on prevention and treatment of acute radiation injury with TCM,elucidation of molecular mechanisms underlying“excellent shape and high quality”variation in cultivated American ginseng through domestication,biosynthesis of trace active ingredients such as benzylisoquinoline alkaloids,pilot application of artificial intelligence(AI)technology,research technology for unelucidated constituents of TCM,new drug delivery system in TCM,and establishment and preliminary application of integrated evidence chain-based effectiveness evaluation of TCM(iEC-Eff).展开更多
Machine learning methodologies have been extensively leveraged across diverse domains of chemical research,yielding remarkable outcomes,and exhibit substantial potential for impactful future applications within the fi...Machine learning methodologies have been extensively leveraged across diverse domains of chemical research,yielding remarkable outcomes,and exhibit substantial potential for impactful future applications within the field of supramolecular chemistry.The recognition of alkali metal ions by crown ethers is one of the most classic and widely applied host-vip interactions in supramolecular chemistry.Due to the numerous factors affecting the host-vip interaction,it remains a great challenge to achieve fast and accurate prediction of the binding constants between crown ethers and alkali metal ions.Herein,we report a highly accurate machine learning model that can effectively predict the binding constants between crown ethers and alkali metal ions,i.e.,CrownBind-IA,with a low RMSE of 0.68 logK units.Moreover,this model proves robust extrapolative capabilities by accurately predicting out-of-sample data.The establishment of CrownBind-IA demonstrates the promising application potentials of data-driven machine learning methods in supramolecular chemistry,and it will substantially reduce the time and expense of experimental trials and characterizations,promote the exploration of the mechanism of host-vip interactions,as well as the rational design of novel functional supramolecular host molecules.展开更多
Machine learning(ML)has demon-strated significant potential in en-hancing the predictive capabilities of density functional theory methods.In this study,we develop an ML model for correcting B3LYP-D,a density function...Machine learning(ML)has demon-strated significant potential in en-hancing the predictive capabilities of density functional theory methods.In this study,we develop an ML model for correcting B3LYP-D,a density functional approximation that incorporates dispersion correc-tions for non-covalent interactions.This model utilizes semilocal elec-tron density descriptors,and is trained with accurate reference data for both relative and ab-solute energies.Extensive benchmark tests reveal that the ML correction substantially en-hances the generalization ability of the B3LYP-D functional,improving the predictions of at-omization and dissociation energies for complex molecular systems.It retains the accuracy of B3LYP-D in predicting reaction barrier heights and non-covalent interactions while enabling efficient,fully self-consistent field calculations.This work signifies a promising advancement in the development of ML-corrected functionals that surpass the performance of traditional B3LYP-D.展开更多
Rechargeable aqueous zinc(Zn)-metal batteries hold great promise for next-generation energy storage systems.However,their practical application is hindered by several challenges,including dendrite formation,corrosion,...Rechargeable aqueous zinc(Zn)-metal batteries hold great promise for next-generation energy storage systems.However,their practical application is hindered by several challenges,including dendrite formation,corrosion,and the competing hydrogen evolution reaction.To address these issues,we designed and fabricated a composite protective layer for Zn anodes by integrating carbon nanotubes(CNTs)with chitosan through a simple and scalable scraping process.The CNTs ensure uniform electric field distribution due to their high electrical conductivity,while protonated chitosan regulates ion transport and suppresses dendrite formation at the anode interface.The chitosan/CNTs composite layer also facilitates smooth Zn^(2+)deposition,enhancing the stability and reversibility of the Zn anode.As a result,the chitosan/CNTs@Zn anode demonstrates exceptional cycling stability,achieving over 3000 h of plating/stripping with minimal degradation.When paired with a V_(2)O_(5)cathode,the composite-protected anode significantly improves the cycle stability and energy density of the full cell.Techno-economic analysis confirms that batteries incorporating the chitosan/CNTs protective layer outperform those with bare Zn anodes in terms of energy density and overall performance under optimized conditions.This work provides a scalable and sustainable strategy to overcome the critical challenges of aqueous Zn-metal batteries,paving the way for their practical application in next-generation energy storage systems.展开更多
Poly(p-phenylenebenzobisoxazole)nanofibers(PNF),as a novel kind of nanofibers,have attracted significant attention from researchers.However,their poor ultraviolet(UV)resistance limits their potential applications.In t...Poly(p-phenylenebenzobisoxazole)nanofibers(PNF),as a novel kind of nanofibers,have attracted significant attention from researchers.However,their poor ultraviolet(UV)resistance limits their potential applications.In this work,zinc oxide(ZnO)was uniformly coated on the surface of PNF-containing polysilsesquioxane(POSS)via in-situ growth to obtain(POSS-PNF)@ZnO.Subsequently,(POSS-PNF)@ZnO wave-transparent composite paper was then fabricated using a“vacuum filtration-assisted hot-pressing”method.Based on the coordination interaction between O–Cdouble bondO groups of PNFs and ZnO,as well as the UV absorption/shielding capability of ZnO,the(POSS-PNF)@ZnO wave-transparent composite paper exhibited superior mechanical properties and UV resistance.At a hydrothermal reaction temperature of 80℃,the prepared(POSS-PNF)@ZnO wave-transparent composite paper exhibited the highest tensile strength(204.5 MPa)and toughness(12.3 MJ m^(−3)),which represents increases of 23.7%and 32.3%,respectively,compared to POSS-PNF wave-transparent paper.After 288 h of UV aging,the tensile strength retention rate was 77.4%,significantly higher than the 53.7%of POSS-PNF wave-transparent composite paper.Moreover,it exhibited excellent wave-transparent performance with a dielectric constant(ε)of 2.15 and a dielectric loss tangent(tanδ)of 0.044 at 10 GHz,resulting in a wave-transparent coefficient of 95.9%.展开更多
Increased matrix stiffness of nucleus pulposus(NP)tissue is a main feature of intervertebral disc degeneration(IVDD)and affects various functions of nucleus pulposus cells(NPCs).Glycolysis is the main energy source fo...Increased matrix stiffness of nucleus pulposus(NP)tissue is a main feature of intervertebral disc degeneration(IVDD)and affects various functions of nucleus pulposus cells(NPCs).Glycolysis is the main energy source for NPC survival,but the effects and underlying mechanisms of increased extracellular matrix(ECM)stiffness on NPC glycolysis remain unknown.In this study,hydrogels with different stiffness were established to mimic the mechanical environment of NPCs.Notably,increased matrix stiffness in degenerated NP tissues from IVDD patients was accompanied with impaired glycolysis,and NPCs cultured on rigid substrates exhibited a reduction in glycolysis.展开更多
The undrained mechanical behavior of unsaturated completely weathered granite(CWG)is highly susceptible to alterations in the hydraulic environment,particularly under uniaxial loading conditions,due to the unique natu...The undrained mechanical behavior of unsaturated completely weathered granite(CWG)is highly susceptible to alterations in the hydraulic environment,particularly under uniaxial loading conditions,due to the unique nature of this soil type.In this study,a series of unconfined compression tests were carried out on unsaturated CWG soil in an underground engineering site,and the effects of varying the environmental variables on the main undrained mechanical properties were analyzed.Based on the experimental results,a novel constitutive model was then established using the damage mechanics theory and the undetermined coefficient method.The results demonstrate that the curves of remolded CWG specimens with different moisture contents and dry densities exhibited diverse characteristics,including brittleness,significant softening,and ductility.As a typical indicator,the unconfined compression strength of soil specimens initially increased with an increase in moisture content and then decreased.Meanwhile,an optimal moisture content of approximately 10.5%could be observed,while a critical moisture content value of 13.0%was identified,beyond which the strength of the specimen decreases sharply.Moreover,the deformation and fracture of CWG specimens were predominantly caused by shear failure,and the ultimate failure modes were primarily influenced by moisture content rather than dry density.Furthermore,by comparing several similar models and the experimental data,the proposed model could accurately replicate the undrained mechanical characteristics of unsaturated CWG soil,and quantitatively describe the key mechanical indexes.These findings offer a valuable reference point for understanding the underlying mechanisms,anticipating potential risks,and implementing effective control measures in similar underground engineering projects.展开更多
Histopathological analysis of chronic wounds is crucial for clinicians to accurately assess wound healing progress and detect potential malignancy.However,traditional pathological tissue sections require specific stai...Histopathological analysis of chronic wounds is crucial for clinicians to accurately assess wound healing progress and detect potential malignancy.However,traditional pathological tissue sections require specific staining procedures involving carcinogenic chemicals.This study proposes an interdisciplinary approach merging materials science,medicine,and artificial intelligence(AI)to develop a virtual staining technique and intelligent evaluation model based on deep learning for chronic wound tissue pathology.This innovation aims to enhance clinical diagnosis and treatment by offering personalized AI-driven therapeutic strategies.By establishing a mouse model of chronic wounds and using a series of hydrogel wound dressings,tissue pathology sections were periodically collected for manual staining and healing assessment.We focused on leveraging the pix2pix image translation framework within deep learning networks.Through CNN models implemented in Python using PyTorch,our study involves learning and feature extraction for region segmentation of pathological slides.Comparative analysis between virtual staining and manual staining results,along with healing diagnosis conclusions,aims to optimize AI models.Ultimately,this approach integrates new metrics such as image recognition,quantitative analysis,and digital diagnostics to formulate an intelligent wound assessment model,facilitating smart monitoring and personalized treatment of wounds.In blind evaluation by pathologists,minimal disparities were found between virtual and conventional histologically stained images of murine wound tissue.The evaluation used pathologists’average scores on real stained images as a benchmark.The scores for virtual stained images were 71.1%for cellular features,75.4%for tissue structures,and 77.8%for overall assessment.Metrics such as PSNR(20.265)and SSIM(0.634)demonstrated our algorithms’superior performance over existing networks.Eight pathological features such as epidermis,hair follicles,and granulation tissue can be accurately identified,and the images were found to be more faithful to the actual tissue feature distribution when compared to manually annotated data.展开更多
This research examines the dynamics of a cosh-Gaussian laser pulse travelling through a vacuum and its impact on electron acceleration. We examine the impact of several critical factors, such as laser electric field a...This research examines the dynamics of a cosh-Gaussian laser pulse travelling through a vacuum and its impact on electron acceleration. We examine the impact of several critical factors, such as laser electric field amplitude, decentered parameter, beam waist, and laser chirp parameter, on the energy gain of electrons using coupled momentum equations. Our results indicate that the energy acquisition of electrons escalates with the amplitude of the laser electric field, decentered parameter, and chirp parameter. An appropriate beam waist is essential for attaining energyefficient electron acceleration in a vacuum. Through the optimization of these parameters, we get a maximum electron energy gain of 2.80 Ge V. This study highlights the significance of customized laser pulse attributes in improving electron acceleration and aids in the progression of high-energy particle physics.展开更多
The second near-infrared window(NIR-II,900-1880 nm)overcomes critical limitations of visible(360-760 nm)and NIR-I(760-900 nm)imaging—including restricted penetration depth,low signal-to-back⁃ground ratio,and tissue a...The second near-infrared window(NIR-II,900-1880 nm)overcomes critical limitations of visible(360-760 nm)and NIR-I(760-900 nm)imaging—including restricted penetration depth,low signal-to-back⁃ground ratio,and tissue autofluorescence—establishing its pivotal role for in vivo deep-tissue bioimaging.With exponential growth in NIR-II photodiagnosis and phototherapy research over the past decade,bibliometric analy⁃sis is essential to map the evolving landscape and guide strategic priorities.We systematically analyzed 2,491 NIR-II-related publications(2009-2023)from the Web of Science Core Collection,employing scientometric tools for distinct analytical purposes:(a)VOSviewer,SCImago Graphica,and Gephi for co-authorship and co-occur⁃rence network mapping;(b)the R bibliometrix package for tracking field evolution and identifying high-impact publications/journals.The search retrieved 2491 studies from 359 journals originating from 54 countries.The country with the most published articles is China.Chinese institutions drive>60%of publications,with Stanford University(USA)and Nanyang Technological University(Singapore)ranked as the top two institutions by re⁃search quality.International cooperation is becoming increasingly frequent.Fan Quli,Tang Benzhong and Dai Hongjie are the top 3 productive authors in this field.Keyword evolution identifies"photodynamic therapy"and"immunotherapy"as pivotal future directions.We summarize the most cited literatures and NIR-II imaging clini⁃cal trials.This study delineates the NIR-II research trajectory,highlighting China's leadership,intensifying glob⁃al collaboration,and interdisciplinary convergence.Future efforts should prioritize the novel NIR-II probe devel⁃opment for NIR-II imaging and clinical translation of photodynamic/immunotherapy combinational platforms.展开更多
This article discusses the study by Xiao et al,which investigated the therapeutic efficacy of serum-free cultured human umbilical cord mesenchymal stem cells(NhUCMSCs)in a mouse model of knee osteoarthritis.The result...This article discusses the study by Xiao et al,which investigated the therapeutic efficacy of serum-free cultured human umbilical cord mesenchymal stem cells(NhUCMSCs)in a mouse model of knee osteoarthritis.The results showed that NhUCMSCs alleviated osteoarthritis-related cartilage damage and inflammation comparably to both serum-cultured hUCMSCs and hyaluronic acid.While these findings broaden the potential clinical utility of N-hUCMSCs by circumventing certain drawbacks of serum-based cultures,the equivalence in efficacy raises important questions.First,how do N-hUCMSCs differ phenotypically from serum-cultured hUCMSCs,particularly in terms of proliferation rate,replicative capacity,and senescence profile?Second,what advantages might N-hUCMSCs offer over hyaluronic acid-a well-established therapy-beyond avoiding xenogeneic components and ethical concerns?Future research should focus on longterm phenotypic stability,sustained functional benefits,safety profiles,and mechanistic insights to ascertain whether N-hUCMSCs can surpass current standards of care.展开更多
基金supported by Zhejiang Provincial Natural Science Foundation of China(No.LQ23H290006)the National Natural Science Foundation of China(No.82204781)+2 种基金the Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province(No.2020E10021)Zhejiang Provincial Program for the Cultivation of High-level Innovative Health Talents(No.ZWB-2020-18)Zhejiang Provincial Traditional Chinese Medicine Science and Technology Project(No.2023ZR119).
文摘Mesenchymal stem cells(MSCs)are pluripotent stem cells isolated from human tissues.Due to their strong self-renewal capacity,pluripotency,and immunomodulatory properties,MSCs have garnered significant attention in cell therapy and tissue regeneration.However,cellular senescence induced by replication or external stimuli can impair MSC proliferation and differentiation,making it crucial to develop interventions that delay or reverse the senescence process.From a traditional Chinese medicine perspective,senescence stems from spleen and stomach deficiency,kidney deficiency,and related factors;thus,medicines that tonify the kidney and promote Qi and blood circulation play vital roles in anti-senescence therapy.Chinese medicine,characterized by low toxicity and multi-target,multi-functional properties,has become prominent in anti-senescence research.This paper examines the MSC senescence process by discussing its causes,characteristics,and mechanisms,then summarizes how active ingredients in herbal medicines and natural compounds reverse MSC senescence,facilitating the discovery of additional anti-senescence Chinese medicines and their effective components.
基金supported by the National Natural Science Foundation of China(Nos.12027809,12350007)National Key R&D Program of China(Nos.2022YFA1605100,2023YFA1606403,and 2023YFE0101600)+1 种基金New Cornerstone Science Foundation through the XPLORER PRIZEfunding from the European Research Council(ERC)under the European Union’s Horizon 2020 research and innovation program under grant agreement No.679038.
文摘A RadioFrequency Quadrupole(RFQ)cooler-buncher system was developed and implemented in a collinear laser spectroscopy setup.This system converts a continuous ion beam into short bunches while enhancing the beam quality and reducing the energy spread.The functionality of the RFQ cooler buncher was verified through offline tests with stable rubidium and indium beams delivered from a surface ion source and a laser ablation ion source,respectively.Bunched ion beams with a full width at half maximum of approximately 2μs in the time-of-flight spectrum were successfully achieved with a transmission efficiency exceeding 60%.The implementation of the RFQ cooler-buncher system also significantly improved the overall transmission efficiency of the collinear laser spectroscopy setup.
基金supported by the Key Technologies Research and Development Program(2024YFC2909605)Black Soil Project of Shenyang Science and Technology Program(24-216-2-07)Fundamental Research Funds for the Central Universities(NO.N25BSS006).
文摘The pervasive accumulation of plastic waste exacerbates environmental degradation and undermines resource circularity.Selective thermal catalysis emerges as a transformative pathway for valorizing waste plastics into value-added chemicals,yet persistent challenges in catalytic activity and product selectivity demand systematic resolution.This review decodes cutting-edge advances in thermal depolymerization by converging two critical dimensions:atomic-scale active site engineering-where rational design of coordination features and interfacial architectures regulates C-C cleavage energetics and intermediate adsorption-and macromolecular-scale manipulation of polymer transient states-leveraging nanoconfinement effects,chain folding dynamics,and thermal fragmentation to accelerate conversion kinetics.We further highlight breakthroughs in operando char-acterization techniques that resolve time-evolving reaction coordinates across catalytic systems.By establishing multiscale structure-activity relationships linking catalyst configurations to polymer dynamics,this analysis derives design paradigms for next-generation upcycling systems.These principles enable economically viable,industrially scalable plastic valorization while charting a strategic trajectory toward carbon-circular economies.
基金Supported by the National Natural Science Foundation of China(Grant Nos.12393783,12302067,12172235,52072249)Joint Funds of the National Natural Science Foundation of China(Grant No.U24A2003)+3 种基金College Education Scientific Research Project of Hebei Province(Grant No.JZX2024006)Central Guiding Local Scientific and Technological Development Funding Project(Grant No.246Z2206G)the Key Research Project of China State Railway Group Co.,Ltd.(Grant No.N2024T009)S&T Program of Hebei(Grant No.21567622H).
文摘As China's high-speed railway technology advances,high-speed trains have emerged as a pivotal mode of transportation,instrumental in facilitating passenger and freight mobility while fostering robust regional eco-nomic and trade interactions.Nonetheless,the safety of train operations remains a paramount concern,prompting extensive research into the dynamic behavior of critical components,which is essential to ensuring seamless and secure transportation services.This article commences by comprehensively reviewing the current landscape and evolutionary trajectory of dynamic model analysis for both traditional bearings and axle box bearings.Emphasis is placed on elucidating the profound influence of diverse bearing fault types on the system's kinematic state,alongside delving into the research methodologies employed in developing multi-physics field coupling models.Subsequently,it expounds on the content of investigations focusing on various wheel and track impairments,grounded in the dynamic modeling of the bearing vehicle coupling system.Concurrently,the intricate interplay between wheel-rail excitation and axle box bearing faults on the system's performance is elucidated.Concludingly,the article underscores the inadequacy of current multi-source fault diagnosis meth-odologies in tackling the intricacies of complex train operating environments,thereby highlighting its sig-nificance as a pressing and vital research agenda for the future.
基金supported by the National key research and development program of China(No.2022YFE0135000)the National Natural Science Foundation of China(No.42175123)the Natural Science Foundation of Tianjin(No.23JCJQJC00170).
文摘Ammonia(NH3)has been widely recognized as a key precursor of atmospheric secondary aerosol formation.Vehicle emission is a major source of urban atmospheric NH3.With the tightening of emission standards and the growing trend of vehicle fleet electrification,it is imperative to update the emission factors for NH3 from real-world on-road fleets.In this study,a tunnel measurement was conducted in the urban area of Tianjin,China.The fleet-average NH3 emission factor(EF)was 11.2 mg/(km·veh),significantly lower than those in previous studies,showing the benefit of emission standard updating.Through a multiple linear regression analysis,the EFs of light-duty gasoline vehicles,light-duty diesel vehicles,and heavy-duty diesel vehicles(HDDVs)were estimated to be 5.7±0.6 mg/(km·veh),40.8±5.1 mg/(km·veh),and 160.2±16.6 mg/(km·veh),respectively.Based on the results from this study,we found that HDDVs,which comprise<3%of the total vehicles may contribute approximately 22%of total NH3 emissions in Tianjin.Our results highlight NH3 emissions from HDDVs,a previously potentially overlooked source of NH3 emissions in urban areas.The actual on-road NH3 emissions from HDDVs may exceed current expectations,posing a growing concern for the future.
文摘MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices take the advantage of the exceptional electrical conductivity,mechanical flexibility,and biocompatibility of two-dimensional MXenes to enable noninvasive,tear-based monitoring of key physiological markers such as intraocular pressure and glucose levels.Recent developments focus on the integration of transparent MXene films into the conventional lens materials,allowing multifunctional performance including photothermal therapy,antimicrobial and anti-inflammation protection,and dehydration resistance.These innovations offer promising strategies for ocular disease management and eye protection.In addition to their multifunctionality,improvements in MXene synthesis and device engineering have enhanced the stability,transparency,and wearability of these lenses.Despite these advances,challenges remain in long-term biostability,scalable production,and integration with wireless communication systems.This review summarizes the current progress,key challenges,and future directions of MXene-based smart contact lenses,highlighting their transformative potential in next-generation digital healthcare and ophthalmic care.
基金supported by the National Natural Science Foundation of China(No.52374121)the Henan Province Science and Technology Research and Development Joint Fund,China(No.235200810016)the National Key Research and Development Program,China(No.2023YFC2907203).
文摘Rapid industrialization in China has caused significant environmental challenges,particularly heavy metal pollution from mine tailings.Toxic heavy metals such as lead(Pb),cadmium(Cd),and mercury(Hg)are released during the processing of mining wastewater and leaching of mine tailings.Owing to their excellent physicochemical properties,cementitious materials are widely used for the solidification/stabilization of heavy metals,immobilizing heavy metals via two distinct mechanisms.Physically,their favorable characteristics,including high mechanical strength,low porosity,and durable matrix,create effective barriers.Chemically,the alkaline environment facilitates the precipitation of metal hydroxides/carbonates.Conversely,hydration products(calcium silicate hydrate gels and ettringite)contribute to immobilization through adsorption and physical encapsulation.This study systematically investigated the migration mechanisms of heavy metal contaminants in mine tailings;further,it elucidated the multifaceted immobilization pathways of cementitious materials,which involve synergistic adsorption,precipitation,and encapsulation by hydration products combined with homocrystalline substitution.A comprehensive analysis indicated that cementitious materials significantly reduced the mobility and bioavailability of heavy metals.Nonetheless,their long-term stability and potential environmental impact require further investigation.This study aims to provide theoretical support for environmental management and sustainable resource utilization,and to explore the broader application potential of cementitious technology for heavy metal stabilization,thereby establishing a theoretical foundation for future research on heavy metals in low-cement solidified/stabilized tailings.
基金supported by the National Research Foundation of Korea(NRF)grant,funded by the Korean government(MIST),Jae-Hoon Kim(NRF-2020R1A2C2004782)Hanbyoul Cho(NRF-RS-2025-00522191)of Funderssupported by the Bio&Medical Technology Development Program of the National Research Foundation(NRF),funded by the Korean Government(MSIT),Jae-Hoon Kim of Funder(NRF-2017M3A9B 8069610).
文摘Objectives:Phosphodiesterase 1A(PDE1A)regulates intracellular cyclic nucleotide signaling and has been implicated in tumor progression,but its clinical relevance and functional role in epithelial ovarian cancer(EOC),particularly in relation to the response to platinum remain unclear.This study aimed to evaluate the clinical significance of PDE1A in EOG and to clarify its functional role in tumor progression and response to platinum-based chemotherapy.Methods:PDE1A mRNA and protein levels were analyzed using public databases,RNA sequencing,and immunohistochemistry.Correlations between PDE1A expression,clinicopathological features,and prognosis were assessed.Functional roles were investigated in ovarian cancer cell lines.Results:PDE1A was significantly overexpressed in EOC tissues compared with that in normal ovarian epithelial tissues.Overexpression correlated with advanced International Federation of Gynecology and Obstetrics(FIGO)stage,poor tumor grade,and reduced response to platinum-based chemotherapy.High PDE1A levels were linked to worse disease-free survival and overall survival,and multivariate analysis confirmed PDE1A as an independent prognostic factor.To elucidate its functional role,we performed in vitro experiments showing that PDE1A knockdown suppressed cell proliferation and colony formation,induced G1 arrest,and downregulatedβ-catenin signaling with reduced cyclin D1 and c-Myc expression.Notably,these inhibitory effects were partially rescued by lithium chloride(LiCl),a Wingless-related integration site(Wnt)/β-catenin activator.Conclusions:In conclusion,our findings identify PDE1A as a Wnt/β-catenin-linked biomarker of tumor progression and platinum resistance in EOC and provide a biological rationale for further investigation of PDE1A-targeted strategies in preclinical models.
基金support from the China Scholarship Council(No.202107000038)support from the National Natural Science Foundation of China(Nos.52004227,52061040,and 12222209)the China Postdoctoral Science Foundation(No:2021M692512).
文摘This study aims to achieve a synergy of strength and ductility in magnesium-based nanocomposite materials through the design of a dual-heterostructure. Utilizing ball milling and hot extrusion, a nano-TiC/AZ61 composite featuring particle-rare coarse grain (CG) and particle-rich fine grain (FG) zones was successfully fabricated. Experimental results demonstrated that compared with the homogeneous structure, the dual-heterostructure composite achieved a significant increase in elongation by 116 % and a remarkable 165 % improvement in the strength-ductility product (SDP), while maintaining a high ultimate tensile strength (UTS) of 417±4 MPa. This substantial performance enhancement is primarily attributed to the additional strain hardening induced by hetero-deformation-induced (HDI) strain hardening and crack-blunting capabilities, as elucidated by microstructural characterization and crystal plasticity finite element modeling (CPFEM). Notably, the strain hardening contribution from the CG zones at the early stage of deformation (≤ 45 % of total plastic deformation amount) is minimal but increases significantly during the subsequent deformation stages. The dislocation increment rate in CG zones (219 %) is observed to be more than double that in FG zones (95 %), attributed to the large grain size and low dislocation density in CG zones, which provide more space for dislocation storage. In addition, the aggravated deformation inhomogeneity as deformation progresses leads to an increase in geometrically necessary dislocations (GNDs) generation near the heterogeneous interface, thereby enhancing HDI hardening. Fracture mechanism analysis indicated that the cracks mainly initiate in the FG region and are effectively blunted upon their propagation to the CG region, necessitating increased energy consumption and indicating higher fracture toughness for the dual-heterostructure composites. This study validates the effectiveness of the dual-heterostructure design in magnesium-based composites, providing a novel understanding of the deformation mechanism through both experimental analysis and CPFEM, paving the way for the development of high-performance, lightweight structural materials.
基金supported by the Project of Map of Scientific and Technological Talents in the Field of Traditional Chinese Medicine(No.XMSB20240923106).
文摘Leveraging unique resource advantages of traditional Chinese medicine(TCM)to achieve innovative breakthroughs in research constitutes a core strategic imperative for its inheritance,innovation and development.At present,the academic advances and scientific achievements in TCM serve as a key driving force for industry growth and advancement of the inheritance and innovation of TCM.To continuously strengthen the leading role of academic research,the China Association of Chinese Medicine(CACM)attaches great importance to the latest research directions and academic results in TCM,and spotlights key advances and emerging trends in TCM scholarship.Since 2020,CACM has conducted the selection and release of the“top 10 academic advances in traditional Chinese medicine”on a yearly basis.The selection of“top 10 academic advances in traditional Chinese medicine in 2024”prioritized research that addresses clinical needs,answers scientific questions and drives industrial development.Highlighting exploratory,forward-looking,innovative and groundbreaking achievements,the following 10 breakthroughs were selected through a process of collection,systematic review and expert evaluation:New advances in prevention and treatment of digestive system diseases with“brain-gut”cross-organ strategy,high-level evidence support for prevention and treatment of cardiovascular disease(CVD)continuum with TCM,important breakthrough in the research on prevention and treatment of acute radiation injury with TCM,elucidation of molecular mechanisms underlying“excellent shape and high quality”variation in cultivated American ginseng through domestication,biosynthesis of trace active ingredients such as benzylisoquinoline alkaloids,pilot application of artificial intelligence(AI)technology,research technology for unelucidated constituents of TCM,new drug delivery system in TCM,and establishment and preliminary application of integrated evidence chain-based effectiveness evaluation of TCM(iEC-Eff).
基金the financial support of the National Natural Science Foundation of China(Nos.22193020 and 22193022)the financial support of the National Natural Science Foundation of China(No.32301691)+4 种基金Tsinghua University Initiative Scientific Research Programthe financial support of the Science and Technology Innovation Program of Hunan Province(No.2023RC3188)the financial support of the Science and Technology Innovation Program of Hunan Province(No.2022RC1112)the Elite Youth Program by the Department of Education of Hunan Province(No.21B0666)the financial support of the Scientific Research Foundation of Hunan Provincial Education Department(No.24C0380)。
文摘Machine learning methodologies have been extensively leveraged across diverse domains of chemical research,yielding remarkable outcomes,and exhibit substantial potential for impactful future applications within the field of supramolecular chemistry.The recognition of alkali metal ions by crown ethers is one of the most classic and widely applied host-vip interactions in supramolecular chemistry.Due to the numerous factors affecting the host-vip interaction,it remains a great challenge to achieve fast and accurate prediction of the binding constants between crown ethers and alkali metal ions.Herein,we report a highly accurate machine learning model that can effectively predict the binding constants between crown ethers and alkali metal ions,i.e.,CrownBind-IA,with a low RMSE of 0.68 logK units.Moreover,this model proves robust extrapolative capabilities by accurately predicting out-of-sample data.The establishment of CrownBind-IA demonstrates the promising application potentials of data-driven machine learning methods in supramolecular chemistry,and it will substantially reduce the time and expense of experimental trials and characterizations,promote the exploration of the mechanism of host-vip interactions,as well as the rational design of novel functional supramolecular host molecules.
基金supported by the National Natural Science Foundation of China(Nos.22393912,22425301,22373091,22173088)the AI for Science Foundation of Fudan University(No.Fudan X24AI023)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB0450101).
文摘Machine learning(ML)has demon-strated significant potential in en-hancing the predictive capabilities of density functional theory methods.In this study,we develop an ML model for correcting B3LYP-D,a density functional approximation that incorporates dispersion correc-tions for non-covalent interactions.This model utilizes semilocal elec-tron density descriptors,and is trained with accurate reference data for both relative and ab-solute energies.Extensive benchmark tests reveal that the ML correction substantially en-hances the generalization ability of the B3LYP-D functional,improving the predictions of at-omization and dissociation energies for complex molecular systems.It retains the accuracy of B3LYP-D in predicting reaction barrier heights and non-covalent interactions while enabling efficient,fully self-consistent field calculations.This work signifies a promising advancement in the development of ML-corrected functionals that surpass the performance of traditional B3LYP-D.
基金supported by the National Natural Science Foundation of China(22279139,62227815,22465026,22469015)the National Key R&D Program of China(2022YFA1504500)+1 种基金the Natural Science Foundation of Inner Mongolia Autonomous Region of China(2024JQ06,2022MS2010,2024MS05005)Inner Mongolia University Postgraduate Scientific Research Innovation Project(11200-5223737)。
文摘Rechargeable aqueous zinc(Zn)-metal batteries hold great promise for next-generation energy storage systems.However,their practical application is hindered by several challenges,including dendrite formation,corrosion,and the competing hydrogen evolution reaction.To address these issues,we designed and fabricated a composite protective layer for Zn anodes by integrating carbon nanotubes(CNTs)with chitosan through a simple and scalable scraping process.The CNTs ensure uniform electric field distribution due to their high electrical conductivity,while protonated chitosan regulates ion transport and suppresses dendrite formation at the anode interface.The chitosan/CNTs composite layer also facilitates smooth Zn^(2+)deposition,enhancing the stability and reversibility of the Zn anode.As a result,the chitosan/CNTs@Zn anode demonstrates exceptional cycling stability,achieving over 3000 h of plating/stripping with minimal degradation.When paired with a V_(2)O_(5)cathode,the composite-protected anode significantly improves the cycle stability and energy density of the full cell.Techno-economic analysis confirms that batteries incorporating the chitosan/CNTs protective layer outperform those with bare Zn anodes in terms of energy density and overall performance under optimized conditions.This work provides a scalable and sustainable strategy to overcome the critical challenges of aqueous Zn-metal batteries,paving the way for their practical application in next-generation energy storage systems.
基金funding from the Foundation of the National Natural Science Foundation of China(Nos.52373089 and 52403085)the Startup Foundation of Chongqing Normal University(No.23XLB011)+1 种基金the Science and Technology Research Program of Chongqing Municipal Education Commission(No.KJQN202300561)Undergraduate Innovation&Business Program in Northwestern Polytechnical University(No.S202410699657)。
文摘Poly(p-phenylenebenzobisoxazole)nanofibers(PNF),as a novel kind of nanofibers,have attracted significant attention from researchers.However,their poor ultraviolet(UV)resistance limits their potential applications.In this work,zinc oxide(ZnO)was uniformly coated on the surface of PNF-containing polysilsesquioxane(POSS)via in-situ growth to obtain(POSS-PNF)@ZnO.Subsequently,(POSS-PNF)@ZnO wave-transparent composite paper was then fabricated using a“vacuum filtration-assisted hot-pressing”method.Based on the coordination interaction between O–Cdouble bondO groups of PNFs and ZnO,as well as the UV absorption/shielding capability of ZnO,the(POSS-PNF)@ZnO wave-transparent composite paper exhibited superior mechanical properties and UV resistance.At a hydrothermal reaction temperature of 80℃,the prepared(POSS-PNF)@ZnO wave-transparent composite paper exhibited the highest tensile strength(204.5 MPa)and toughness(12.3 MJ m^(−3)),which represents increases of 23.7%and 32.3%,respectively,compared to POSS-PNF wave-transparent paper.After 288 h of UV aging,the tensile strength retention rate was 77.4%,significantly higher than the 53.7%of POSS-PNF wave-transparent composite paper.Moreover,it exhibited excellent wave-transparent performance with a dielectric constant(ε)of 2.15 and a dielectric loss tangent(tanδ)of 0.044 at 10 GHz,resulting in a wave-transparent coefficient of 95.9%.
基金supported by the National Nature Science Foundation of China(No.82002345 to J.D and 81902179 to L.S)the Gusu Talent Program(No.Qngg2022008 and GSWS2021027 to J.D)the Preliminary Research Project of the Second Affiliated Hospital of Soochow University(No.SDFEYBS1905 to J.D).
文摘Increased matrix stiffness of nucleus pulposus(NP)tissue is a main feature of intervertebral disc degeneration(IVDD)and affects various functions of nucleus pulposus cells(NPCs).Glycolysis is the main energy source for NPC survival,but the effects and underlying mechanisms of increased extracellular matrix(ECM)stiffness on NPC glycolysis remain unknown.In this study,hydrogels with different stiffness were established to mimic the mechanical environment of NPCs.Notably,increased matrix stiffness in degenerated NP tissues from IVDD patients was accompanied with impaired glycolysis,and NPCs cultured on rigid substrates exhibited a reduction in glycolysis.
基金Project(42202318)supported by the National Natural Science Foundation of ChinaProject(252300421199)supported by the Natural Science Foundation of Henan Province,ChinaProject(2024JJ6219)supported by the Hunan Provincial Natural Science Foundation of China。
文摘The undrained mechanical behavior of unsaturated completely weathered granite(CWG)is highly susceptible to alterations in the hydraulic environment,particularly under uniaxial loading conditions,due to the unique nature of this soil type.In this study,a series of unconfined compression tests were carried out on unsaturated CWG soil in an underground engineering site,and the effects of varying the environmental variables on the main undrained mechanical properties were analyzed.Based on the experimental results,a novel constitutive model was then established using the damage mechanics theory and the undetermined coefficient method.The results demonstrate that the curves of remolded CWG specimens with different moisture contents and dry densities exhibited diverse characteristics,including brittleness,significant softening,and ductility.As a typical indicator,the unconfined compression strength of soil specimens initially increased with an increase in moisture content and then decreased.Meanwhile,an optimal moisture content of approximately 10.5%could be observed,while a critical moisture content value of 13.0%was identified,beyond which the strength of the specimen decreases sharply.Moreover,the deformation and fracture of CWG specimens were predominantly caused by shear failure,and the ultimate failure modes were primarily influenced by moisture content rather than dry density.Furthermore,by comparing several similar models and the experimental data,the proposed model could accurately replicate the undrained mechanical characteristics of unsaturated CWG soil,and quantitatively describe the key mechanical indexes.These findings offer a valuable reference point for understanding the underlying mechanisms,anticipating potential risks,and implementing effective control measures in similar underground engineering projects.
基金supported by the Fundamental Research Funds for the Central Universities(No.20720230037)the National Natural Science Foundation of China(No.52273305)+2 种基金Natural Science Foundation of Fujian Province of China(No.2023J05012)State Key Laboratory of Vaccines for Infectious Diseases,Xiang An Biomedicine Laboratory(Nos.2023XAKJ0103071,2023XAKJ0102061)Natural Science Foundation of Xiamen,China(No.3502Z20227010).
文摘Histopathological analysis of chronic wounds is crucial for clinicians to accurately assess wound healing progress and detect potential malignancy.However,traditional pathological tissue sections require specific staining procedures involving carcinogenic chemicals.This study proposes an interdisciplinary approach merging materials science,medicine,and artificial intelligence(AI)to develop a virtual staining technique and intelligent evaluation model based on deep learning for chronic wound tissue pathology.This innovation aims to enhance clinical diagnosis and treatment by offering personalized AI-driven therapeutic strategies.By establishing a mouse model of chronic wounds and using a series of hydrogel wound dressings,tissue pathology sections were periodically collected for manual staining and healing assessment.We focused on leveraging the pix2pix image translation framework within deep learning networks.Through CNN models implemented in Python using PyTorch,our study involves learning and feature extraction for region segmentation of pathological slides.Comparative analysis between virtual staining and manual staining results,along with healing diagnosis conclusions,aims to optimize AI models.Ultimately,this approach integrates new metrics such as image recognition,quantitative analysis,and digital diagnostics to formulate an intelligent wound assessment model,facilitating smart monitoring and personalized treatment of wounds.In blind evaluation by pathologists,minimal disparities were found between virtual and conventional histologically stained images of murine wound tissue.The evaluation used pathologists’average scores on real stained images as a benchmark.The scores for virtual stained images were 71.1%for cellular features,75.4%for tissue structures,and 77.8%for overall assessment.Metrics such as PSNR(20.265)and SSIM(0.634)demonstrated our algorithms’superior performance over existing networks.Eight pathological features such as epidermis,hair follicles,and granulation tissue can be accurately identified,and the images were found to be more faithful to the actual tissue feature distribution when compared to manually annotated data.
文摘This research examines the dynamics of a cosh-Gaussian laser pulse travelling through a vacuum and its impact on electron acceleration. We examine the impact of several critical factors, such as laser electric field amplitude, decentered parameter, beam waist, and laser chirp parameter, on the energy gain of electrons using coupled momentum equations. Our results indicate that the energy acquisition of electrons escalates with the amplitude of the laser electric field, decentered parameter, and chirp parameter. An appropriate beam waist is essential for attaining energyefficient electron acceleration in a vacuum. Through the optimization of these parameters, we get a maximum electron energy gain of 2.80 Ge V. This study highlights the significance of customized laser pulse attributes in improving electron acceleration and aids in the progression of high-energy particle physics.
基金Supported by National Natural Science Foundation of China(81874059 and 82102105)the Natural Science Foundation of Zhejiang Province(LQ22H160017)the China Postdoctoral Science Foundation(2021M702825).
文摘The second near-infrared window(NIR-II,900-1880 nm)overcomes critical limitations of visible(360-760 nm)and NIR-I(760-900 nm)imaging—including restricted penetration depth,low signal-to-back⁃ground ratio,and tissue autofluorescence—establishing its pivotal role for in vivo deep-tissue bioimaging.With exponential growth in NIR-II photodiagnosis and phototherapy research over the past decade,bibliometric analy⁃sis is essential to map the evolving landscape and guide strategic priorities.We systematically analyzed 2,491 NIR-II-related publications(2009-2023)from the Web of Science Core Collection,employing scientometric tools for distinct analytical purposes:(a)VOSviewer,SCImago Graphica,and Gephi for co-authorship and co-occur⁃rence network mapping;(b)the R bibliometrix package for tracking field evolution and identifying high-impact publications/journals.The search retrieved 2491 studies from 359 journals originating from 54 countries.The country with the most published articles is China.Chinese institutions drive>60%of publications,with Stanford University(USA)and Nanyang Technological University(Singapore)ranked as the top two institutions by re⁃search quality.International cooperation is becoming increasingly frequent.Fan Quli,Tang Benzhong and Dai Hongjie are the top 3 productive authors in this field.Keyword evolution identifies"photodynamic therapy"and"immunotherapy"as pivotal future directions.We summarize the most cited literatures and NIR-II imaging clini⁃cal trials.This study delineates the NIR-II research trajectory,highlighting China's leadership,intensifying glob⁃al collaboration,and interdisciplinary convergence.Future efforts should prioritize the novel NIR-II probe devel⁃opment for NIR-II imaging and clinical translation of photodynamic/immunotherapy combinational platforms.
基金Supported by the Natural Science Foundation of Shanghai,No.24ZR1459300(to Xiao-Ting Liang)and the Pyramid Talent Project,No.YQ677(to Yue Ding).
文摘This article discusses the study by Xiao et al,which investigated the therapeutic efficacy of serum-free cultured human umbilical cord mesenchymal stem cells(NhUCMSCs)in a mouse model of knee osteoarthritis.The results showed that NhUCMSCs alleviated osteoarthritis-related cartilage damage and inflammation comparably to both serum-cultured hUCMSCs and hyaluronic acid.While these findings broaden the potential clinical utility of N-hUCMSCs by circumventing certain drawbacks of serum-based cultures,the equivalence in efficacy raises important questions.First,how do N-hUCMSCs differ phenotypically from serum-cultured hUCMSCs,particularly in terms of proliferation rate,replicative capacity,and senescence profile?Second,what advantages might N-hUCMSCs offer over hyaluronic acid-a well-established therapy-beyond avoiding xenogeneic components and ethical concerns?Future research should focus on longterm phenotypic stability,sustained functional benefits,safety profiles,and mechanistic insights to ascertain whether N-hUCMSCs can surpass current standards of care.
