In EUV and X- ray regions, multilayer mirrors are the essential and necessary optics elements. The good prospects of the EUV and X- rays for next generation lithography system, microscopy in the “water windows”, ast...In EUV and X- ray regions, multilayer mirrors are the essential and necessary optics elements. The good prospects of the EUV and X- rays for next generation lithography system, microscopy in the “water windows”, astro- nomical telescope, spectroscopy, plasma diagnostics, and X- ray laser have impelled the development of multilayer optics. The paper introduces the recent results of the multilayer optics elements in Tongji University, including beam splitters, broadband/angular polarizers, supermirrors and high- reflectance mirrors. The product of reflectivity and transmissivity is above 4% for the Mo/Si multilayer beam splitter. Over the 15 ̄17 nm wavelength range, the s- re- flectivity of the non- periodic Mo/Si broadband multilayer polarizers is reasonably constant, as high as 36.6%, and the degree of polarization is more than 97.8%. At the fixed energy of 8 keV (Cu Kαline), the W/Si supermirror has the reflectivity of above 30% in the angle range of 0.4° ̄0.85°, and a W/B4C supermirror has the reflectivity of about 20% in the angle range of 0.9° ̄1.2°, and the reflectivity of W/C supermirror working in the grazing incident angle range of 0.9° ̄1.2°is about 20%. The experimental results of some high- reflectance mirrors in our lab are also pre- sented, such as Mo/Si, Mo/Y, Cr/C, La/B4C, Si/C and Si/SiC. The reflectivity of Mo/Si multilayer is as high as 61.1% at wavelength of 13.4 nm.展开更多
Background:Academic stress is a critical factor influencing university students’well-being.However,research has shown that stress is not a unidimensional construct;different types of stressors(challenge vs.hindrance)...Background:Academic stress is a critical factor influencing university students’well-being.However,research has shown that stress is not a unidimensional construct;different types of stressors(challenge vs.hindrance)may lead to distinct outcomes.This study constructed a structural equation model(SEM)to examine the relationships between challenge and hindrance academic stressors and students’well-being,as well as the mediating mechanisms.Methods:Data were collected from 836 undergraduates at six universities in China(58.4%female,41.6%male;Mean age=20.47±1.46 years).Descriptive statistics,Pearson correlations,and SEM with 5000 bootstrap resamples were conducted to test hypothesized paths and mediating effects.Results:Direct path analysis revealed that challenge stressors positively predicted meaning in life(β=0.329,p<0.001)but not academic self-efficacy(β=-0.004,p=0.915),while hindrance stressors negatively predicted meaning in life(β=-0.371,p<0.001).Meaning in life strongly predicted academic self-efficacy(β=0.543,p<0.001)and well-being(β=0.301,p<0.001),and academic self-efficacy further contributed to well-being(β=0.190,p<0.001).Bootstrapping confirmed that meaning in life significantly mediated the effects of both challenge(β=0.099,95%CI[0.063,0.144])and hindrance stressors(β=-0.112,95%CI[-0.162,-0.076])on well-being.The serial mediation pathway was also significant for both models(challenge:β=0.034,95%CI[0.019,0.049];hindrance:β=-0.038,95%CI[-0.057,-0.024]).Conclusions:This study partially validates the dual-pathway model of academic stress in higher education and highlights the pivotal roles of meaning in life and academic self-efficacy in the stress-well-being relationship.展开更多
Stroke,particularly ischemic stroke,is the leading cause of long-term disability and mortality worldwide.It occurs due to the occlusion of the cerebral arteries,which significantly reduces the delivery of blood,oxygen...Stroke,particularly ischemic stroke,is the leading cause of long-term disability and mortality worldwide.It occurs due to the occlusion of the cerebral arteries,which significantly reduces the delivery of blood,oxygen,and essential nutrients to brain tissues.This deprivation triggers a cascade of cellular events that ultimately leads to neuronal death.Recent studies have clarified the multifactorial pathogenesis of ischemic stroke,highlighting the roles of energy failure,excitotoxicity,oxidative stress,neuroinflammation,and apoptosis.This review aimed to provide a comprehensive insight into the fundamental mechanisms driving neuronal death triggered by ischemia and to examine the progress of neuroprotective therapeutic approaches designed to mitigate neuronal loss and promote neurological recovery after a stroke.Additionally,we explored widely accepted findings regarding the potential pathways implicated in neuronal death during ischemic stroke,including the interplay of apoptosis,autophagy,pyroptosis,ferroptosis,and necrosis,which collectively influence neuronal fate.We also discussed advancements in neuroprotective therapeutics,encompassing a range of interventions from pharmacological modulation to stem cell-based therapies,aimed at reducing neuronal injury and enhancing functional recovery following ischemic stroke.Despite these advancements,challenges remain in translating mechanistic insights into effective clinical therapies.Although neuroprotective strategies have shown promise in preclinical models,their efficacy in human trials has been inconsistent,often due to the complex pathology of ischemic stroke and the timing of interventions.In conclusion,this review synthesizes mechanistic insights into the intricate interplay of molecular and cellular pathways driving neuronal death post-ischemia.It sheds light on cutting-edge advancements in potential neuroprotective therapeutics,underscores the promise of regenerative medicine,and offers a forward-looking perspective on potential clinical breakthroughs.The ongoing evolution of precision-targeted interventions is expected to significantly enhance preventative strategies and improve clinical outcomes.展开更多
Stroke is the leading cause of mortality globally,ultimately leading to severe,lifelong neurological impairments.Patients often suffer from a secondary cascade of damage,including neuroinflammation,cytotoxicity,oxidat...Stroke is the leading cause of mortality globally,ultimately leading to severe,lifelong neurological impairments.Patients often suffer from a secondary cascade of damage,including neuroinflammation,cytotoxicity,oxidative stress,and mitochondrial dysfunction.Regrettably,there is a paucity of clinically available therapeutics to address these issues.Emerging evidence underscores the pivotal roles of astrocytes,the most abundant glial cells in the brain,throughout the various stages of ischemic stroke.In this comprehensive review,we initially provide an overview of the fundamental physiological functions of astrocytes in the brain,emphasizing their critical role in modulating neuronal homeostasis,synaptic activity,and blood-brain barrier integrity.We then delve into the growing body of evidence that highlights the functional diversity and heterogeneity of astrocytes in the context of ischemic stroke.Their well-established contributions to energy provision,metabolic regulation,and neurotransmitter homeostasis,as well as their emerging roles in mitochondrial recovery,neuroinflammation regulation,and oxidative stress modulation following ischemic injury,are discussed in detail.We also explore the cellular and molecular mechanisms underpinning these functions,with particular emphasis on recently identified targets within astrocytes that offer promising prospects for therapeutic intervention.In the final section of this review,we offer a detailed overview of the current therapeutic strategies targeting astrocytes in the treatment of ischemic stroke.These astrocyte-targeting strategies are categorized into traditional small-molecule drugs,microRNAs(miRNAs),stem cell-based therapies,cellular reprogramming,hydrogels,and extracellular vesicles.By summarizing the current understanding of astrocyte functions and therapeutic targeting approaches,we aim to highlight the critical roles of astrocytes during and after stroke,particularly in the pathophysiological development in ischemic stroke.We also emphasize promising avenues for novel,astrocyte-targeted therapeutics that could become clinically available options,ultimately improving outcomes for patients with stroke.展开更多
[Objective]Vegetation restoration is an effective strategy for ecological improvement;however,inappropriate vegetation establishment can induce soil desiccation,thereby threatening ecosystem stability.Therefore,elucid...[Objective]Vegetation restoration is an effective strategy for ecological improvement;however,inappropriate vegetation establishment can induce soil desiccation,thereby threatening ecosystem stability.Therefore,elucidating the global response patterns of soil moisture to vegetation restoration and identifying research hotspots are critical for guiding ecological construction in arid regions.[Methods]We reviewed 6,152 articles concerning soil moisture and vegetation retrieved from the Web of Science platform.Using VOSviewer,we conducted analyses of keyword co-occurrence,publication trends,and research hotspots to systematically delineate the evolving trends in this field.[Results]The results indicate a significant increasing trend in the number of publications since 2000.Global research keywords are categorized into seven clusters,including vegetation,soil moisture,rainfall-erosion-infiltration,spatial heterogeneity,and climate change.In terms of highly cited papers in 2024,China and the United States maintain a significant lead.Global research demonstrates a strong dependency on typical regional geographical features(such as climate types and topography),exhibiting differentiated research focuses.Furthermore,studies extend beyond soil moisture itself to deeply couple with ecological processes such as vegetation restoration,soil respiration,carbon cycling,and hydrothermal conditions.[Conclusions]The long-term ecological effects of afforestation in arid regions remain unclear,and empirical data from key regions highlight the current urgency.Future research should integrate climate change dynamics,innovate monitoring methodologies,and deepen the understanding of regional differentiation to provide scientific support for the adaptive management of vegetation in arid regions.展开更多
Perihilar cholangiocarcinoma(pCCA)and intrahepatic cholangiocarcinoma(iCCA)are highly malignant neoplasms with a 5-year overall survival rate of approximately 30%[1,2].Surgical resection remains the only potentially c...Perihilar cholangiocarcinoma(pCCA)and intrahepatic cholangiocarcinoma(iCCA)are highly malignant neoplasms with a 5-year overall survival rate of approximately 30%[1,2].Surgical resection remains the only potentially curative treatment,yet only one-fifth of patients are eligible for resection at initial diagnosis[3].Threedimensional(3D)reconstruction technology provides precise preoperative visualization of complex hilar anatomy,significantly enhancing surgical planning and outcomes[4].Recent advances in 3D reconstruction technology have enhanced preoperative planning by providing precise anatomical mapping of tumor-vessel relationships and biliary variations[4,5].Therefore,this report describes a case of left iCCA successfully resected with biliary reconstruction guided by 3D visualization.展开更多
Background:Hepatocellular carcinoma(HCC)is one of the leading causes of cancer-related mortality worldwide.This study aimed to identify key genes involved in HCC development and elucidate their molecular mechanisms,wi...Background:Hepatocellular carcinoma(HCC)is one of the leading causes of cancer-related mortality worldwide.This study aimed to identify key genes involved in HCC development and elucidate their molecular mechanisms,with a particular focus on mitochondrial function and apoptosis.Methods:Differential expression analyses were performed across three datasets—The Cancer Genome Atlas(TCGA)-Liver Hepatocellular Carcinoma(LIHC),GSE36076,and GSE95698—to identify overlapping differentially expressed genes(DEGs).A prognostic risk model was then constructed.Cysteine/serine-rich nuclear protein 1(CSRNP1)expression levels in HCC cell lines were assessed via western blot(WB)and quantitative reverse transcription polymerase chain reaction(qRT-PCR).The effects of CSRNP1 knockdown or overexpression on cell proliferation,migration,and apoptosis were evaluated using cell counting-8(CCK-8)assays,Transwell assays,and flow cytometry.Mitochondrial ultrastructure was examined by transmission electron microscopy,and intracellular and mitochondrial reactive oxygen species(mROS)levels were measured using specific fluorescent probes.WB was used to assess activation of the c-Jun N-terminal kinase(JNK)/p38 mitogen-activated protein kinase(MAPK)pathway,and pathway dependence was examined using the ROS scavenger N-Acetylcysteine(NAC)and the JNK inhibitor SP600125.Results:A six-gene prognostic model was established,comprising downregulated genes(NR4A1 and CSRNP1)and upregulated genes(CENPQ,YAE1,FANCF,and POC5)in HCC.Functional experiments revealed that CSRNP1 knockdown promoted the proliferation of HCC cells and suppressed their apoptosis.Conversely,CSRNP1 overexpression impaired mitochondrial integrity,increased both mitochondrial and cytoplasmic ROS levels,and activated the JNK/p38 MAPK pathway.Notably,treatment with NAC or SP600125 attenuated CSRNP1-induced MAPK activation and apoptosis.Conclusion:CSRNP1 is a novel prognostic biomarker and tumor suppressor in HCC.It exerts anti-tumor effects by inducing oxidative stress and activating the JNK/p38 MAPK pathway in a ROS-dependent manner.These findings suggest that CSRNP1 may serve as a potential therapeutic target in the management of HCC.展开更多
The stator of the maglev track plays a crucial role in the operation of the maglev system.Currently,the efficiency of maglev track inspection is limited by several factors,including the large span of elevated structur...The stator of the maglev track plays a crucial role in the operation of the maglev system.Currently,the efficiency of maglev track inspection is limited by several factors,including the large span of elevated structures,manual visual inspection,short inspection window times,and limited GPS positioning accuracy.To address these issues,this paper proposes a deep learning-based method for detecting and locating stator surface damage.This study establishes a maglev track stator surface image dataset,trains different object detection models,and compares their performance.Ultimately,YOLO and ByteTrack object tracking algorithms were chosen as the basic framework and enhanced to achieve automatic identification of high-speed maglev track stator surface damage images and track and count stator surface localization feature images.By matching the identified damaged images with their corresponding stator segment and beam segment sequence numbers,the location of the damage is pinpointed to the corresponding stator segment,enabling rapid and accurate identification and localization of complex damage to the maglev track stator surface.展开更多
The presence or absence of adult neural stem cells in the mammalian forebrain ependyma has been debated for two decades.In this study,we performed single-cell RNA sequencing to investigate the cellular composition of ...The presence or absence of adult neural stem cells in the mammalian forebrain ependyma has been debated for two decades.In this study,we performed single-cell RNA sequencing to investigate the cellular composition of the ependymal surface of the adult mouse forebrain using whole mounts of lateral walls of lateral ventricles.We identified 12 different cell subtypes in the ependymal surface.Immunocytochemical analyses revealed that CD133^(+)multi-ciliated cells comprised 67.6%of ependymal cells,while the remaining 32.4%were CD133^(-).CD133^(+)ependymal cells can be further classified into FOXJ1^(+)/SOX2^(+)/ACTA2^(+)cells,FLT1^(+)/CD31^(+)/CLDN5^(+)endothelial-like cells,and PDGFRB^(+)/VTN^(+)/NG2^(+)pericyte-like cells,as well as endothelial-pericyte-like cells and Foxj1^(+)endothelial-like cells.CD133^(-)ependymal cells can be further divided into endothelial-like cells,Foxj1^(+)ependymal cells,Foxj1^(+)endothelial-like cells,pericyte-like cells,endothelial-pericyte-like cells,VIM^(+)cells,and cells negative for all of these markers.This comprehensive profiling confirms the heterogeneity of the ependymal surface in the adult mouse forebrain.Debate regarding whether adult ependymal cells contain neural stem cells has arisen because different researchers have examined different populations of ependymal cells.Our study provides a new perspective for investigation of clinical endogenous neural stem cells,ultimately paving the way for stem cell therapies in neurological diseases.展开更多
In the early stages of traumatic spinal cord injury,extensive accumulation of autophagosomes creates a neurotoxic microenvironment,exacerbating neuronal cell death and worsening tissue damage,ultimately hindering neur...In the early stages of traumatic spinal cord injury,extensive accumulation of autophagosomes creates a neurotoxic microenvironment,exacerbating neuronal cell death and worsening tissue damage,ultimately hindering neurofunctional recovery.Activin A is a critical growth factor necessary for the development of the embryonic nervous system and for maintaining neuronal function in the adult cerebral cortex.It can inhibit excessive autophagy in ischemic stroke to reduce neuronal damage.However,the specific mechanism through which Activin A functions in the spinal cord remains poorly understood.In this study,we administered different concentrations of Activin A to neural stem cells from the spinal cord and found that Activin A stimulated the proliferation and neuronal differentiation of neural stem cells.Then,we established an in vitro oxidative stress model by using hydrogen peroxide to stimulate the neural stem cells-induced neurons.We found that Activin A could reduce apoptosis caused by oxidative stress.Subsequently,we treated a mouse model of spinal cord contusion with intrathecal injection of Activin A.Behavioral and electrophysiological results showed that Activin A promoted recovery of motor function and reconstruction of neural circuits in the model mice.Finally,RNA sequencing indicated that Activin A inhibited autophagy by activating the PI3K/AKT/mTOR pathway and upregulating the expression of synaptogenesis-related factor Sema3A in the spinal cord.These results suggest that Activin A may mediate the excessive autophagic response after spinal cord injury,promote the reconstruction of damaged neural circuits,and restore neurological function in the injured spinal cord.展开更多
The deformation characteristics and thermal response of anchor rods are crucial for ensuring the stability and safety of surrounding rock support structures.However,existing research has predominantly concentrated on ...The deformation characteristics and thermal response of anchor rods are crucial for ensuring the stability and safety of surrounding rock support structures.However,existing research has predominantly concentrated on the mechanical performance of anchor rods,with limited attention to the coupled evolution of strain and temperature fields during tensile deformation.This knowledge gap hinders a comprehensive understanding of the synergistic mechanical-thermal response mechanisms in anchor rods under loading conditions.To address this limitation,the present study systematically investigated the evolution of strain and temperature fields,along with their correlation,during the test of micro-negative Poisson's ratio(NPR)and ordinary Poisson's ratio(PR)anchor rods.Digital image correlation(DIC)and infrared thermography(IRT)techniques were employed for this exploration.The uniaxial tensile tests were conducted at two different rates,and the ordinary PR anchor rod(Q235 anchor rod)was established as a control group for comparative analysis.The findings reveal that the micro-NPR anchor rod exhibit strain localization at multiple locations during the tensile process,whereas Q235 anchors show local strain concentration in only one region.The standard deviation evolution curves for both the strain and temperature field exhibit two distinct phases in the two anchor rods.The evolution patterns between these two types of curves are basically consistent.The two standard deviation curves for the micro-NPR anchor rod display a wavy increase in the second phase,while for the Q235 anchor rod,they increase steadily until the specimen is damaged.The correlation analysis reveals that the standard deviations of strain and temperature differences for both types of anchor rods are significantly correlated.These findings demonstrate the synergistic evolution mechanism of deformation and thermal response,providing a potential foundation for utilizing thermal monitoring to assess the stability of rock support structures.展开更多
Lattice materials have demonstrated promising potential in engineering applications owing to their exceptional lightweight,high specific strength,and tunable mechanical properties.However,the traditional homogenizatio...Lattice materials have demonstrated promising potential in engineering applications owing to their exceptional lightweight,high specific strength,and tunable mechanical properties.However,the traditional homogenization methods based on the classical elasticity theory struggle to accurately describe the non-classical mechanical behaviors of lattice materials,especially when dealing with complex unit-cell geometries featured by non-symmetric configurations or non-single central node connections.In response to this limitation,this study establishes a generalized homogenization model based on the micropolar theory framework,employing Hill's boundary conditions to precisely predict the equivalent moduli of complex lattice materials.By introducing the independent rotational degree of freedom(DOF)characteristic of the micropolar theory,the proposed model successfully overcomes the limitation of conventional methods in accurately describing the asymmetric deformation and scale effects.We initially calculate the constitutive relations of two-dimensional(2D)cross-shaped multi-node chiral lattices and subsequently extend the method to three-dimensional(3D)lattices,successfully predicting the mechanical properties of both traditional and eccentric body-centered cubic(BCC)lattices.The theoretical model is validated through the finite element numerical verification which shows excellent consistency with the theoretical predictions.A further parametric study investigates the influence of geometric parameters,revealing the underlying size-effect mechanism.This paper provides a reliable theoretical tool for the design and property optimization of complex lattice materials.展开更多
Nanofiltration(NF) technology,with its capacity for nanoscale filtration and controllable selectivity,holds significant promise in diverse applications.However,the current upper bound of permeance and selectivity of N...Nanofiltration(NF) technology,with its capacity for nanoscale filtration and controllable selectivity,holds significant promise in diverse applications.However,the current upper bound of permeance and selectivity of NF membranes is intrinsically constrained by the morphology and structure of the polyamide(PA) selective layer.This issue arises because NF membranes typically exhibit relatively smooth nodular structures,which theoretically impede efficient water transport.In this study,we enhanced the formation of nanobubbles by synergistically regulating with surfactant and low temperatures,resulting in the fabrication of PA NF membranes with a crumpled morphology.We observed that lower temperatures promote enhanced gas solubility in the aqueous phase,facilitating increased nanobubble formation through the foaming effect of surfactant sodium dodecylbenzene sulfonate(SDBS).Consequently,this resulted in the creation of PA NF membranes with more crumpled structures and superior performance,with pure water permeance reaching 36.25 ± 0.42 L m^(-2)h^(-1)bar^(-1),representing an improvement of 14.47 L m^(-2)h^(-1)bar^(-1)compared to the control group.Additionally,it maintains a high Na_(2)SO_(4) rejection rate of97.00 % ± 0.58 %.The PA NF membranes produced by eliminating nanobubbles and free interfaces exhibited a smooth structure,whereas introducing nanobubbles(through Na HCO_(3) addition,N_(2) pressurization,and ultrasonication) resulted in the formation of crumpled membranes.This emphasized that the large amount of nanobubbles generated by SDBS and low temperature in the interfacial process played a critical role in shaping crumpled PA NF membranes and enhancing membrane performance.This approach has the potential to provide valuable insights into customizing the structural design of TFC PA NF membranes,contributing to further advancements in this field.展开更多
We investigate the effects of temperature on the structural evolution and clustering in the hypernucleus,taking_(Λ)^(21)Ne as an example,in the framework of deformed finite-temperature Skyrme-Hartree-Fock.The SkI4 Sk...We investigate the effects of temperature on the structural evolution and clustering in the hypernucleus,taking_(Λ)^(21)Ne as an example,in the framework of deformed finite-temperature Skyrme-Hartree-Fock.The SkI4 Skyrme force is employed for nucleon-nucleon interaction,while the NSC97f force is used for the hyperon-nucleon interaction.It is found that the system exhibits a strongly deformed ground state with pronouncedα-cluster correlations and localized density distributions at low temperatures.As temperature increases,nuclear deformation weakens,the nuclear density spreads over the surface,and clustering gradually diminishes and vanishes entirely at T≈2.8 MeV.This is because that the thermal excitations lower the Fermi surface and enhance single-particle level splitting.In particular,owing to the lower excitation threshold of hyperons in the hypernuclear system,the hyperon radii exhibit a stronger temperature dependence than the nucleons.We further analyze the temperature-dependent changes in deformation,single-Λbinding energy,and entropy,providing new insights into the thermal evolution of the hypernuclear structure.展开更多
Conventional treatments for non-small cell lung cancer(NSCLC)suffer from low remission rates,high drug resistance,and severe adverse effects.To leverage the therapeutic potential of reactive oxygen species(ROS),nanoca...Conventional treatments for non-small cell lung cancer(NSCLC)suffer from low remission rates,high drug resistance,and severe adverse effects.To leverage the therapeutic potential of reactive oxygen species(ROS),nanocatalytic medicine utilizes nanomaterials to generate ROS specifically within tumor sites,enabling efficient and targeted cancer treatment.In this study,hyaluronic acid(HA)-modified copper-N,N-dimethyl-Nphenylsulfonylbisamine(DMSA)-assembled nanoparticles(Cu-DMSA-HA NPs)are developed with tumor-targeting capability and efficiently catalyze ROS production via coordination chemistry.Targeted delivery is facilitated by HA surface modification through recognition of overexpressed cluster of differentiation 44 receptors on cancer cells,which enhances nanoparticle uptake.Once internalized,intracellular glutathione is depleted by the NPs,followed by a Fenton-like reaction that sustains ROS production.Both in vitro and in vivo studies demonstrate that this catalytic strategy effectively inhibits DNA replication,prevents cell cycle progression,downregulates glutathione peroxidase 4 expression,induces ferroptosis,and ultimately suppresses NSCLC progression.Overall,the readily prepared Cu-DMSA-HA NPs exhibit robust catalytic activity and tumor specificity,highlighting their strong potential for clinical translation in nanocatalytic cancer therapy.展开更多
The addition of high-content crumb rubber(HCCR)in asphalt can effectively address waste tire pollution and provide sustainable environmental and economic advantages.However,the practical application of conventional ru...The addition of high-content crumb rubber(HCCR)in asphalt can effectively address waste tire pollution and provide sustainable environmental and economic advantages.However,the practical application of conventional rubberized binders is significantly limited by high viscosity and poor storage stability.To address these issues,researchers have pretreated crumb rubber(CR)with oil,but high-temperature performance remains insufficient.Therefore,this study aimed to optimize the viscosity,storage stability,and rheological properties of high-content crumb rubber-modified asphalt(HCCRMA)by varying the pretreatment levels of CR and incorporating various additives,including styrene-butadiene-styrene(SBS),deoiled asphalt(DA),or recycled low-density polyethylene(RLDPE).In addition,CR was pretreated with waste cooking oil(WCO)at various ratios,pre-swelling temperatures,and times.The results show that DA exhibits excellent storage stability and lower viscosity compared with other modifiers in HCCRMA,and the 4%RLDPE with pretreated HCCR has the greatest high-temperature rutting resistance.The inclusion of RLDPE increases the stiffness and elasticity of the modified asphalt,which results in greater high-temperature performance.Additionally,the fluorescence microscopy(FM)test confirms that SBS exhibits better dispersion than other modifiers and forms a more homogeneous phase separation in the HCCRMA.All in all,this research achieved an optimal balance of storage stability and rheological properties in asphalt modified with pretreated HCCR and 6%SBS,which provides a valuable reference for performance improvement of HCCR-modified binders.展开更多
The use of Unmanned Aerial Vehicles(UAVs)for defect detection on railway slopes is becoming increasingly widespread due to their ability to capture high-resolution images over large,inaccessible,and topographically co...The use of Unmanned Aerial Vehicles(UAVs)for defect detection on railway slopes is becoming increasingly widespread due to their ability to capture high-resolution images over large,inaccessible,and topographically complex areas.However,current UAV-based detection methods face several critical limitations,including constrained deployment frequency,limited availability of annotated defect data,and the lack of mature risk assessment frameworks.To address these challenges,this study introduces a novel approach that integrates diffusion models with Large Language Models(LLMs)to generate highquality synthetic defect images tailored to railway slope scenarios.Furthermore,an improved transformerbased architecture is proposed,incorporating attention mechanisms and LLM-guided diffusion-generated imagery to enhance defect recognition performance under complex environmental conditions.Experimental evaluations conducted on a dataset of 300 field-collected images from high-risk railway slopes demonstrate that the proposed method significantly outperforms existing baselines in terms of precision,recall,and robustness,indicating strong applicability for real-world railway infrastructure monitoring and disaster prevention.展开更多
Gastrointestinal tumors require personalized treatment strategies due to their heterogeneity and complexity.Multimodal artificial intelligence(AI)addresses this challenge by integrating diverse data sources-including ...Gastrointestinal tumors require personalized treatment strategies due to their heterogeneity and complexity.Multimodal artificial intelligence(AI)addresses this challenge by integrating diverse data sources-including computed tomography(CT),magnetic resonance imaging(MRI),endoscopic imaging,and genomic profiles-to enable intelligent decision-making for individualized therapy.This approach leverages AI algorithms to fuse imaging,endoscopic,and omics data,facilitating comprehensive characterization of tumor biology,prediction of treatment response,and optimization of therapeutic strategies.By combining CT and MRI for structural assessment,endoscopic data for real-time visual inspection,and genomic information for molecular profiling,multimodal AI enhances the accuracy of patient stratification and treatment personalization.The clinical implementation of this technology demonstrates potential for improving patient outcomes,advancing precision oncology,and supporting individualized care in gastrointestinal cancers.Ultimately,multimodal AI serves as a transformative tool in oncology,bridging data integration with clinical application to effectively tailor therapies.展开更多
Accurate forecasting of tropical cyclone(TC)tracks and intensities is essential.Although the TianXing large weather model,a six-hourly forecasting model surpassing operational forecasts,exhibits superior performance,i...Accurate forecasting of tropical cyclone(TC)tracks and intensities is essential.Although the TianXing large weather model,a six-hourly forecasting model surpassing operational forecasts,exhibits superior performance,its TC forecasts still require enhancement.Prediction errors persist due to biases in the training data and smoothing effects in data-driven methods.To address this,we introduce CycloneBCNet,a deep-learning model designed to correct TianXing’s TC forecast biases by leveraging spatial and temporal data.CycloneBCNet utilizes the SimVP(simpler yet better video prediction)framework with spatial attention to highlight cyclone core regions in forecast fields.It also incorporates TC trend information(center position,maximum wind speed,and minimum sea level pressure)via an LSTM(long short-term memory)module.These TC vectors are derived from post-processed TianXing forecasts.By fusing features from forecast fields and TC vectors,CycloneBCNet corrects biases across multiple lead times.At a 96-h lead time,the track error reduces from 162.4 to 86.4 km,the wind speed error from 17.2 to 6.69 m s^(-1),and the pressure error from 22.2 to 9.36 hPa.Interpretability analysis shows that CycloneBCNet adjusts its attention across forecast lead times.Intensity corrections prioritize inner-core dynamics,particularly the eye and eyewall,while track corrections shift from lower-level variables and the cyclone’s core to broader environmental factors and mid-to upper-level features as the forecast duration increases.These findings demonstrate that CycloneBCNet effectively captures key TC dynamics consistent with meteorological principles,including the dominance of near-surface conditions for intensity and the increasing influence of steering currents on track prediction.展开更多
Early knee osteoarthritis(KOA)is characterized by progressive degeneration of the articular cartilage,synovial inflammation,and excessive accumulation of reactive oxygen species(ROS).At present,intra-articular injecti...Early knee osteoarthritis(KOA)is characterized by progressive degeneration of the articular cartilage,synovial inflammation,and excessive accumulation of reactive oxygen species(ROS).At present,intra-articular injection of hyaluronic acid(HA)is widely used to alleviate symptoms;however,its lubrication persistence,antioxidant,and anti-inflammatory abilities are limited,and it is difficult to effectively delay the early process of cartilage degeneration.Based on this,hyaluronic acid-g-lipoic acid(HA-LA)was synthesized by esterification reaction,and HA-LA microspheres were prepared by a reversed-phase emulsion method,which was combined with a macromolecular HA-LA solution to form injectable hydrogels.The objective of this study was to evaluate the efficacy of an injectable hydrogel based on hyaluronic acid-g-lipoic acid microspheres(HA-LA MS)for the treatment of KOA and to verify its injectability,lubricity,reactive oxygen species(ROS)scavenging ability,and anti-inflammatory effects.The results show that the HA-LA MS hydrogel has excellent shear thinning characteristics and continuous injectability,and its microsphere structure significantly reduces the interfacial friction coefficient through the rolling effect.In vitro experiments have shown that the hydrogel can efficiently scavenge ROS,reduce the expression of inflammatory factors,and is non-cytotoxic.The HA-LA MS injectable hydrogel has excellent lubricity,ROS scavenging ability,and anti-inflammatory effects in vivo,which can effectively delay the degeneration of early KOA cartilage,and its efficacy is significantly better than that of traditional hyaluronic acid,making it a promising intra-articular injection preparation.展开更多
基金the National Natural Science Foundation of China under the contract numbers 60178021,60378021 , 10435050 National High Technology Research and Development“863”Program of China.(No.3)
文摘In EUV and X- ray regions, multilayer mirrors are the essential and necessary optics elements. The good prospects of the EUV and X- rays for next generation lithography system, microscopy in the “water windows”, astro- nomical telescope, spectroscopy, plasma diagnostics, and X- ray laser have impelled the development of multilayer optics. The paper introduces the recent results of the multilayer optics elements in Tongji University, including beam splitters, broadband/angular polarizers, supermirrors and high- reflectance mirrors. The product of reflectivity and transmissivity is above 4% for the Mo/Si multilayer beam splitter. Over the 15 ̄17 nm wavelength range, the s- re- flectivity of the non- periodic Mo/Si broadband multilayer polarizers is reasonably constant, as high as 36.6%, and the degree of polarization is more than 97.8%. At the fixed energy of 8 keV (Cu Kαline), the W/Si supermirror has the reflectivity of above 30% in the angle range of 0.4° ̄0.85°, and a W/B4C supermirror has the reflectivity of about 20% in the angle range of 0.9° ̄1.2°, and the reflectivity of W/C supermirror working in the grazing incident angle range of 0.9° ̄1.2°is about 20%. The experimental results of some high- reflectance mirrors in our lab are also pre- sented, such as Mo/Si, Mo/Y, Cr/C, La/B4C, Si/C and Si/SiC. The reflectivity of Mo/Si multilayer is as high as 61.1% at wavelength of 13.4 nm.
文摘Background:Academic stress is a critical factor influencing university students’well-being.However,research has shown that stress is not a unidimensional construct;different types of stressors(challenge vs.hindrance)may lead to distinct outcomes.This study constructed a structural equation model(SEM)to examine the relationships between challenge and hindrance academic stressors and students’well-being,as well as the mediating mechanisms.Methods:Data were collected from 836 undergraduates at six universities in China(58.4%female,41.6%male;Mean age=20.47±1.46 years).Descriptive statistics,Pearson correlations,and SEM with 5000 bootstrap resamples were conducted to test hypothesized paths and mediating effects.Results:Direct path analysis revealed that challenge stressors positively predicted meaning in life(β=0.329,p<0.001)but not academic self-efficacy(β=-0.004,p=0.915),while hindrance stressors negatively predicted meaning in life(β=-0.371,p<0.001).Meaning in life strongly predicted academic self-efficacy(β=0.543,p<0.001)and well-being(β=0.301,p<0.001),and academic self-efficacy further contributed to well-being(β=0.190,p<0.001).Bootstrapping confirmed that meaning in life significantly mediated the effects of both challenge(β=0.099,95%CI[0.063,0.144])and hindrance stressors(β=-0.112,95%CI[-0.162,-0.076])on well-being.The serial mediation pathway was also significant for both models(challenge:β=0.034,95%CI[0.019,0.049];hindrance:β=-0.038,95%CI[-0.057,-0.024]).Conclusions:This study partially validates the dual-pathway model of academic stress in higher education and highlights the pivotal roles of meaning in life and academic self-efficacy in the stress-well-being relationship.
基金supported by the National Natural Science Foundation of China,Nos.82171387 and 31830111(both to SL).
文摘Stroke,particularly ischemic stroke,is the leading cause of long-term disability and mortality worldwide.It occurs due to the occlusion of the cerebral arteries,which significantly reduces the delivery of blood,oxygen,and essential nutrients to brain tissues.This deprivation triggers a cascade of cellular events that ultimately leads to neuronal death.Recent studies have clarified the multifactorial pathogenesis of ischemic stroke,highlighting the roles of energy failure,excitotoxicity,oxidative stress,neuroinflammation,and apoptosis.This review aimed to provide a comprehensive insight into the fundamental mechanisms driving neuronal death triggered by ischemia and to examine the progress of neuroprotective therapeutic approaches designed to mitigate neuronal loss and promote neurological recovery after a stroke.Additionally,we explored widely accepted findings regarding the potential pathways implicated in neuronal death during ischemic stroke,including the interplay of apoptosis,autophagy,pyroptosis,ferroptosis,and necrosis,which collectively influence neuronal fate.We also discussed advancements in neuroprotective therapeutics,encompassing a range of interventions from pharmacological modulation to stem cell-based therapies,aimed at reducing neuronal injury and enhancing functional recovery following ischemic stroke.Despite these advancements,challenges remain in translating mechanistic insights into effective clinical therapies.Although neuroprotective strategies have shown promise in preclinical models,their efficacy in human trials has been inconsistent,often due to the complex pathology of ischemic stroke and the timing of interventions.In conclusion,this review synthesizes mechanistic insights into the intricate interplay of molecular and cellular pathways driving neuronal death post-ischemia.It sheds light on cutting-edge advancements in potential neuroprotective therapeutics,underscores the promise of regenerative medicine,and offers a forward-looking perspective on potential clinical breakthroughs.The ongoing evolution of precision-targeted interventions is expected to significantly enhance preventative strategies and improve clinical outcomes.
基金supported by the National Natural Science Foundation of China,No.82001325Visiting Scholar Foundation of Shandong Province,No.20236-01(both to CS).
文摘Stroke is the leading cause of mortality globally,ultimately leading to severe,lifelong neurological impairments.Patients often suffer from a secondary cascade of damage,including neuroinflammation,cytotoxicity,oxidative stress,and mitochondrial dysfunction.Regrettably,there is a paucity of clinically available therapeutics to address these issues.Emerging evidence underscores the pivotal roles of astrocytes,the most abundant glial cells in the brain,throughout the various stages of ischemic stroke.In this comprehensive review,we initially provide an overview of the fundamental physiological functions of astrocytes in the brain,emphasizing their critical role in modulating neuronal homeostasis,synaptic activity,and blood-brain barrier integrity.We then delve into the growing body of evidence that highlights the functional diversity and heterogeneity of astrocytes in the context of ischemic stroke.Their well-established contributions to energy provision,metabolic regulation,and neurotransmitter homeostasis,as well as their emerging roles in mitochondrial recovery,neuroinflammation regulation,and oxidative stress modulation following ischemic injury,are discussed in detail.We also explore the cellular and molecular mechanisms underpinning these functions,with particular emphasis on recently identified targets within astrocytes that offer promising prospects for therapeutic intervention.In the final section of this review,we offer a detailed overview of the current therapeutic strategies targeting astrocytes in the treatment of ischemic stroke.These astrocyte-targeting strategies are categorized into traditional small-molecule drugs,microRNAs(miRNAs),stem cell-based therapies,cellular reprogramming,hydrogels,and extracellular vesicles.By summarizing the current understanding of astrocyte functions and therapeutic targeting approaches,we aim to highlight the critical roles of astrocytes during and after stroke,particularly in the pathophysiological development in ischemic stroke.We also emphasize promising avenues for novel,astrocyte-targeted therapeutics that could become clinically available options,ultimately improving outcomes for patients with stroke.
文摘[Objective]Vegetation restoration is an effective strategy for ecological improvement;however,inappropriate vegetation establishment can induce soil desiccation,thereby threatening ecosystem stability.Therefore,elucidating the global response patterns of soil moisture to vegetation restoration and identifying research hotspots are critical for guiding ecological construction in arid regions.[Methods]We reviewed 6,152 articles concerning soil moisture and vegetation retrieved from the Web of Science platform.Using VOSviewer,we conducted analyses of keyword co-occurrence,publication trends,and research hotspots to systematically delineate the evolving trends in this field.[Results]The results indicate a significant increasing trend in the number of publications since 2000.Global research keywords are categorized into seven clusters,including vegetation,soil moisture,rainfall-erosion-infiltration,spatial heterogeneity,and climate change.In terms of highly cited papers in 2024,China and the United States maintain a significant lead.Global research demonstrates a strong dependency on typical regional geographical features(such as climate types and topography),exhibiting differentiated research focuses.Furthermore,studies extend beyond soil moisture itself to deeply couple with ecological processes such as vegetation restoration,soil respiration,carbon cycling,and hydrothermal conditions.[Conclusions]The long-term ecological effects of afforestation in arid regions remain unclear,and empirical data from key regions highlight the current urgency.Future research should integrate climate change dynamics,innovate monitoring methodologies,and deepen the understanding of regional differentiation to provide scientific support for the adaptive management of vegetation in arid regions.
基金supported by grants from the National Natural Science Foundation of China(82170412)Shanghai Municipal Science and Technology Commission Clinical Innovation Research Special Project(23Y11905400).
文摘Perihilar cholangiocarcinoma(pCCA)and intrahepatic cholangiocarcinoma(iCCA)are highly malignant neoplasms with a 5-year overall survival rate of approximately 30%[1,2].Surgical resection remains the only potentially curative treatment,yet only one-fifth of patients are eligible for resection at initial diagnosis[3].Threedimensional(3D)reconstruction technology provides precise preoperative visualization of complex hilar anatomy,significantly enhancing surgical planning and outcomes[4].Recent advances in 3D reconstruction technology have enhanced preoperative planning by providing precise anatomical mapping of tumor-vessel relationships and biliary variations[4,5].Therefore,this report describes a case of left iCCA successfully resected with biliary reconstruction guided by 3D visualization.
基金funded by Shanghai Yangpu District Science and Technology Commission(Grant No.YPQ202303(Xuejing Lin))Shanghai Yangpu Hospital Foundation(Grant No.Se1202420(Wenchao Wang)and Ye1202423(Juan Huang)).
文摘Background:Hepatocellular carcinoma(HCC)is one of the leading causes of cancer-related mortality worldwide.This study aimed to identify key genes involved in HCC development and elucidate their molecular mechanisms,with a particular focus on mitochondrial function and apoptosis.Methods:Differential expression analyses were performed across three datasets—The Cancer Genome Atlas(TCGA)-Liver Hepatocellular Carcinoma(LIHC),GSE36076,and GSE95698—to identify overlapping differentially expressed genes(DEGs).A prognostic risk model was then constructed.Cysteine/serine-rich nuclear protein 1(CSRNP1)expression levels in HCC cell lines were assessed via western blot(WB)and quantitative reverse transcription polymerase chain reaction(qRT-PCR).The effects of CSRNP1 knockdown or overexpression on cell proliferation,migration,and apoptosis were evaluated using cell counting-8(CCK-8)assays,Transwell assays,and flow cytometry.Mitochondrial ultrastructure was examined by transmission electron microscopy,and intracellular and mitochondrial reactive oxygen species(mROS)levels were measured using specific fluorescent probes.WB was used to assess activation of the c-Jun N-terminal kinase(JNK)/p38 mitogen-activated protein kinase(MAPK)pathway,and pathway dependence was examined using the ROS scavenger N-Acetylcysteine(NAC)and the JNK inhibitor SP600125.Results:A six-gene prognostic model was established,comprising downregulated genes(NR4A1 and CSRNP1)and upregulated genes(CENPQ,YAE1,FANCF,and POC5)in HCC.Functional experiments revealed that CSRNP1 knockdown promoted the proliferation of HCC cells and suppressed their apoptosis.Conversely,CSRNP1 overexpression impaired mitochondrial integrity,increased both mitochondrial and cytoplasmic ROS levels,and activated the JNK/p38 MAPK pathway.Notably,treatment with NAC or SP600125 attenuated CSRNP1-induced MAPK activation and apoptosis.Conclusion:CSRNP1 is a novel prognostic biomarker and tumor suppressor in HCC.It exerts anti-tumor effects by inducing oxidative stress and activating the JNK/p38 MAPK pathway in a ROS-dependent manner.These findings suggest that CSRNP1 may serve as a potential therapeutic target in the management of HCC.
基金supported in part by the National Natural Science Foundation of China under Grant 52432012in part by the Shanghai Science and Technology Project with 25ZR1402508。
文摘The stator of the maglev track plays a crucial role in the operation of the maglev system.Currently,the efficiency of maglev track inspection is limited by several factors,including the large span of elevated structures,manual visual inspection,short inspection window times,and limited GPS positioning accuracy.To address these issues,this paper proposes a deep learning-based method for detecting and locating stator surface damage.This study establishes a maglev track stator surface image dataset,trains different object detection models,and compares their performance.Ultimately,YOLO and ByteTrack object tracking algorithms were chosen as the basic framework and enhanced to achieve automatic identification of high-speed maglev track stator surface damage images and track and count stator surface localization feature images.By matching the identified damaged images with their corresponding stator segment and beam segment sequence numbers,the location of the damage is pinpointed to the corresponding stator segment,enabling rapid and accurate identification and localization of complex damage to the maglev track stator surface.
基金supported by the State Key Program of the National Natural Science Foundation of China,No.82030035(to YES)Peak Disciplines(Type IV)of Institutions of Higher Learning in Shanghai(to LZ).
文摘The presence or absence of adult neural stem cells in the mammalian forebrain ependyma has been debated for two decades.In this study,we performed single-cell RNA sequencing to investigate the cellular composition of the ependymal surface of the adult mouse forebrain using whole mounts of lateral walls of lateral ventricles.We identified 12 different cell subtypes in the ependymal surface.Immunocytochemical analyses revealed that CD133^(+)multi-ciliated cells comprised 67.6%of ependymal cells,while the remaining 32.4%were CD133^(-).CD133^(+)ependymal cells can be further classified into FOXJ1^(+)/SOX2^(+)/ACTA2^(+)cells,FLT1^(+)/CD31^(+)/CLDN5^(+)endothelial-like cells,and PDGFRB^(+)/VTN^(+)/NG2^(+)pericyte-like cells,as well as endothelial-pericyte-like cells and Foxj1^(+)endothelial-like cells.CD133^(-)ependymal cells can be further divided into endothelial-like cells,Foxj1^(+)ependymal cells,Foxj1^(+)endothelial-like cells,pericyte-like cells,endothelial-pericyte-like cells,VIM^(+)cells,and cells negative for all of these markers.This comprehensive profiling confirms the heterogeneity of the ependymal surface in the adult mouse forebrain.Debate regarding whether adult ependymal cells contain neural stem cells has arisen because different researchers have examined different populations of ependymal cells.Our study provides a new perspective for investigation of clinical endogenous neural stem cells,ultimately paving the way for stem cell therapies in neurological diseases.
基金supported by the National Natural Science Foundation of China,Nos.82271419,81901902(to YZ),82202702(to ZW),82202351(to XH),82301550(to LYang),82271418(to XX)the Shanghai Rising-Star Program,No.22QA1408200(to YZ)the Fundamental Research Fundsfor the Central Universities,No.22120220555(to YZ).
文摘In the early stages of traumatic spinal cord injury,extensive accumulation of autophagosomes creates a neurotoxic microenvironment,exacerbating neuronal cell death and worsening tissue damage,ultimately hindering neurofunctional recovery.Activin A is a critical growth factor necessary for the development of the embryonic nervous system and for maintaining neuronal function in the adult cerebral cortex.It can inhibit excessive autophagy in ischemic stroke to reduce neuronal damage.However,the specific mechanism through which Activin A functions in the spinal cord remains poorly understood.In this study,we administered different concentrations of Activin A to neural stem cells from the spinal cord and found that Activin A stimulated the proliferation and neuronal differentiation of neural stem cells.Then,we established an in vitro oxidative stress model by using hydrogen peroxide to stimulate the neural stem cells-induced neurons.We found that Activin A could reduce apoptosis caused by oxidative stress.Subsequently,we treated a mouse model of spinal cord contusion with intrathecal injection of Activin A.Behavioral and electrophysiological results showed that Activin A promoted recovery of motor function and reconstruction of neural circuits in the model mice.Finally,RNA sequencing indicated that Activin A inhibited autophagy by activating the PI3K/AKT/mTOR pathway and upregulating the expression of synaptogenesis-related factor Sema3A in the spinal cord.These results suggest that Activin A may mediate the excessive autophagic response after spinal cord injury,promote the reconstruction of damaged neural circuits,and restore neurological function in the injured spinal cord.
基金supported by State Key Laboratory for Geomechanics and Deep Underground Engineering,China University of Mining&Technology,Beijing(Grant No.SKLGDUEK2120)。
文摘The deformation characteristics and thermal response of anchor rods are crucial for ensuring the stability and safety of surrounding rock support structures.However,existing research has predominantly concentrated on the mechanical performance of anchor rods,with limited attention to the coupled evolution of strain and temperature fields during tensile deformation.This knowledge gap hinders a comprehensive understanding of the synergistic mechanical-thermal response mechanisms in anchor rods under loading conditions.To address this limitation,the present study systematically investigated the evolution of strain and temperature fields,along with their correlation,during the test of micro-negative Poisson's ratio(NPR)and ordinary Poisson's ratio(PR)anchor rods.Digital image correlation(DIC)and infrared thermography(IRT)techniques were employed for this exploration.The uniaxial tensile tests were conducted at two different rates,and the ordinary PR anchor rod(Q235 anchor rod)was established as a control group for comparative analysis.The findings reveal that the micro-NPR anchor rod exhibit strain localization at multiple locations during the tensile process,whereas Q235 anchors show local strain concentration in only one region.The standard deviation evolution curves for both the strain and temperature field exhibit two distinct phases in the two anchor rods.The evolution patterns between these two types of curves are basically consistent.The two standard deviation curves for the micro-NPR anchor rod display a wavy increase in the second phase,while for the Q235 anchor rod,they increase steadily until the specimen is damaged.The correlation analysis reveals that the standard deviations of strain and temperature differences for both types of anchor rods are significantly correlated.These findings demonstrate the synergistic evolution mechanism of deformation and thermal response,providing a potential foundation for utilizing thermal monitoring to assess the stability of rock support structures.
基金Project supported by the National Natural Science Foundation of China(No.12472077)the supports from Shanghai Gaofeng Project for University Academic Program Development,Fundamental Research Funds for the Central Universities(No.22120240353).
文摘Lattice materials have demonstrated promising potential in engineering applications owing to their exceptional lightweight,high specific strength,and tunable mechanical properties.However,the traditional homogenization methods based on the classical elasticity theory struggle to accurately describe the non-classical mechanical behaviors of lattice materials,especially when dealing with complex unit-cell geometries featured by non-symmetric configurations or non-single central node connections.In response to this limitation,this study establishes a generalized homogenization model based on the micropolar theory framework,employing Hill's boundary conditions to precisely predict the equivalent moduli of complex lattice materials.By introducing the independent rotational degree of freedom(DOF)characteristic of the micropolar theory,the proposed model successfully overcomes the limitation of conventional methods in accurately describing the asymmetric deformation and scale effects.We initially calculate the constitutive relations of two-dimensional(2D)cross-shaped multi-node chiral lattices and subsequently extend the method to three-dimensional(3D)lattices,successfully predicting the mechanical properties of both traditional and eccentric body-centered cubic(BCC)lattices.The theoretical model is validated through the finite element numerical verification which shows excellent consistency with the theoretical predictions.A further parametric study investigates the influence of geometric parameters,revealing the underlying size-effect mechanism.This paper provides a reliable theoretical tool for the design and property optimization of complex lattice materials.
基金the National Natural Science Foundation of China (Nos.52430001,52470091,52200108) for the financial support。
文摘Nanofiltration(NF) technology,with its capacity for nanoscale filtration and controllable selectivity,holds significant promise in diverse applications.However,the current upper bound of permeance and selectivity of NF membranes is intrinsically constrained by the morphology and structure of the polyamide(PA) selective layer.This issue arises because NF membranes typically exhibit relatively smooth nodular structures,which theoretically impede efficient water transport.In this study,we enhanced the formation of nanobubbles by synergistically regulating with surfactant and low temperatures,resulting in the fabrication of PA NF membranes with a crumpled morphology.We observed that lower temperatures promote enhanced gas solubility in the aqueous phase,facilitating increased nanobubble formation through the foaming effect of surfactant sodium dodecylbenzene sulfonate(SDBS).Consequently,this resulted in the creation of PA NF membranes with more crumpled structures and superior performance,with pure water permeance reaching 36.25 ± 0.42 L m^(-2)h^(-1)bar^(-1),representing an improvement of 14.47 L m^(-2)h^(-1)bar^(-1)compared to the control group.Additionally,it maintains a high Na_(2)SO_(4) rejection rate of97.00 % ± 0.58 %.The PA NF membranes produced by eliminating nanobubbles and free interfaces exhibited a smooth structure,whereas introducing nanobubbles(through Na HCO_(3) addition,N_(2) pressurization,and ultrasonication) resulted in the formation of crumpled membranes.This emphasized that the large amount of nanobubbles generated by SDBS and low temperature in the interfacial process played a critical role in shaping crumpled PA NF membranes and enhancing membrane performance.This approach has the potential to provide valuable insights into customizing the structural design of TFC PA NF membranes,contributing to further advancements in this field.
基金supported by the National Natural Science Foundation of China(Nos.12575124,12175071,12205103)the National Key R&D Program of China(No.2024YFE0109803)the Fundamental Research Funds for the Central Universities。
文摘We investigate the effects of temperature on the structural evolution and clustering in the hypernucleus,taking_(Λ)^(21)Ne as an example,in the framework of deformed finite-temperature Skyrme-Hartree-Fock.The SkI4 Skyrme force is employed for nucleon-nucleon interaction,while the NSC97f force is used for the hyperon-nucleon interaction.It is found that the system exhibits a strongly deformed ground state with pronouncedα-cluster correlations and localized density distributions at low temperatures.As temperature increases,nuclear deformation weakens,the nuclear density spreads over the surface,and clustering gradually diminishes and vanishes entirely at T≈2.8 MeV.This is because that the thermal excitations lower the Fermi surface and enhance single-particle level splitting.In particular,owing to the lower excitation threshold of hyperons in the hypernuclear system,the hyperon radii exhibit a stronger temperature dependence than the nucleons.We further analyze the temperature-dependent changes in deformation,single-Λbinding energy,and entropy,providing new insights into the thermal evolution of the hypernuclear structure.
基金supported by National Natural Science Foundation of China (82272943)Shanghai Municipal Science and Technology Commission (21Y11913400)+1 种基金Fundamental Research Funds for the Central UniversitiesNational Key Research and Development Program of China (2022YFC2407405)
文摘Conventional treatments for non-small cell lung cancer(NSCLC)suffer from low remission rates,high drug resistance,and severe adverse effects.To leverage the therapeutic potential of reactive oxygen species(ROS),nanocatalytic medicine utilizes nanomaterials to generate ROS specifically within tumor sites,enabling efficient and targeted cancer treatment.In this study,hyaluronic acid(HA)-modified copper-N,N-dimethyl-Nphenylsulfonylbisamine(DMSA)-assembled nanoparticles(Cu-DMSA-HA NPs)are developed with tumor-targeting capability and efficiently catalyze ROS production via coordination chemistry.Targeted delivery is facilitated by HA surface modification through recognition of overexpressed cluster of differentiation 44 receptors on cancer cells,which enhances nanoparticle uptake.Once internalized,intracellular glutathione is depleted by the NPs,followed by a Fenton-like reaction that sustains ROS production.Both in vitro and in vivo studies demonstrate that this catalytic strategy effectively inhibits DNA replication,prevents cell cycle progression,downregulates glutathione peroxidase 4 expression,induces ferroptosis,and ultimately suppresses NSCLC progression.Overall,the readily prepared Cu-DMSA-HA NPs exhibit robust catalytic activity and tumor specificity,highlighting their strong potential for clinical translation in nanocatalytic cancer therapy.
基金supported by the Transportation Science and Technology Program of Henan Province(grant number:2023-4-2)the Key Research and Development Program of Ningxia Science and Technology Department(grant number:2022BEG02008)+2 种基金China Communications Construction Group Co.,Ltd.Science and Technology R&D Project(grant number:2021KJW02)the Research and Development Program of Henan Transportation Investment Group Co.,Ltd.(grant number:HNJT2025-1-9)the Postdoctoral Fellowship Program of CPSF(grand number:GZC20251139).
文摘The addition of high-content crumb rubber(HCCR)in asphalt can effectively address waste tire pollution and provide sustainable environmental and economic advantages.However,the practical application of conventional rubberized binders is significantly limited by high viscosity and poor storage stability.To address these issues,researchers have pretreated crumb rubber(CR)with oil,but high-temperature performance remains insufficient.Therefore,this study aimed to optimize the viscosity,storage stability,and rheological properties of high-content crumb rubber-modified asphalt(HCCRMA)by varying the pretreatment levels of CR and incorporating various additives,including styrene-butadiene-styrene(SBS),deoiled asphalt(DA),or recycled low-density polyethylene(RLDPE).In addition,CR was pretreated with waste cooking oil(WCO)at various ratios,pre-swelling temperatures,and times.The results show that DA exhibits excellent storage stability and lower viscosity compared with other modifiers in HCCRMA,and the 4%RLDPE with pretreated HCCR has the greatest high-temperature rutting resistance.The inclusion of RLDPE increases the stiffness and elasticity of the modified asphalt,which results in greater high-temperature performance.Additionally,the fluorescence microscopy(FM)test confirms that SBS exhibits better dispersion than other modifiers and forms a more homogeneous phase separation in the HCCRMA.All in all,this research achieved an optimal balance of storage stability and rheological properties in asphalt modified with pretreated HCCR and 6%SBS,which provides a valuable reference for performance improvement of HCCR-modified binders.
基金supported in part by the National Natural Science Foundation of China under Grant 52432012in part by the Shanghai Science and Technology Project with 25ZR1402508。
文摘The use of Unmanned Aerial Vehicles(UAVs)for defect detection on railway slopes is becoming increasingly widespread due to their ability to capture high-resolution images over large,inaccessible,and topographically complex areas.However,current UAV-based detection methods face several critical limitations,including constrained deployment frequency,limited availability of annotated defect data,and the lack of mature risk assessment frameworks.To address these challenges,this study introduces a novel approach that integrates diffusion models with Large Language Models(LLMs)to generate highquality synthetic defect images tailored to railway slope scenarios.Furthermore,an improved transformerbased architecture is proposed,incorporating attention mechanisms and LLM-guided diffusion-generated imagery to enhance defect recognition performance under complex environmental conditions.Experimental evaluations conducted on a dataset of 300 field-collected images from high-risk railway slopes demonstrate that the proposed method significantly outperforms existing baselines in terms of precision,recall,and robustness,indicating strong applicability for real-world railway infrastructure monitoring and disaster prevention.
基金Supported by Xuhui District Health Commission,No.SHXH202214.
文摘Gastrointestinal tumors require personalized treatment strategies due to their heterogeneity and complexity.Multimodal artificial intelligence(AI)addresses this challenge by integrating diverse data sources-including computed tomography(CT),magnetic resonance imaging(MRI),endoscopic imaging,and genomic profiles-to enable intelligent decision-making for individualized therapy.This approach leverages AI algorithms to fuse imaging,endoscopic,and omics data,facilitating comprehensive characterization of tumor biology,prediction of treatment response,and optimization of therapeutic strategies.By combining CT and MRI for structural assessment,endoscopic data for real-time visual inspection,and genomic information for molecular profiling,multimodal AI enhances the accuracy of patient stratification and treatment personalization.The clinical implementation of this technology demonstrates potential for improving patient outcomes,advancing precision oncology,and supporting individualized care in gastrointestinal cancers.Ultimately,multimodal AI serves as a transformative tool in oncology,bridging data integration with clinical application to effectively tailor therapies.
基金supported by the Meteorological Joint Funds of the National Natural Science Foundation of China(Grant No.U2142211)the National Natural Science Foundation of China(Grant Nos.42075141,42341202 and 62088101)+1 种基金the National Key Research and Development Program of China(Grant No.2020YFA0608000)the Shanghai Municipal Science and Technology Major Project(Grant No.2021SHZDZX0100).
文摘Accurate forecasting of tropical cyclone(TC)tracks and intensities is essential.Although the TianXing large weather model,a six-hourly forecasting model surpassing operational forecasts,exhibits superior performance,its TC forecasts still require enhancement.Prediction errors persist due to biases in the training data and smoothing effects in data-driven methods.To address this,we introduce CycloneBCNet,a deep-learning model designed to correct TianXing’s TC forecast biases by leveraging spatial and temporal data.CycloneBCNet utilizes the SimVP(simpler yet better video prediction)framework with spatial attention to highlight cyclone core regions in forecast fields.It also incorporates TC trend information(center position,maximum wind speed,and minimum sea level pressure)via an LSTM(long short-term memory)module.These TC vectors are derived from post-processed TianXing forecasts.By fusing features from forecast fields and TC vectors,CycloneBCNet corrects biases across multiple lead times.At a 96-h lead time,the track error reduces from 162.4 to 86.4 km,the wind speed error from 17.2 to 6.69 m s^(-1),and the pressure error from 22.2 to 9.36 hPa.Interpretability analysis shows that CycloneBCNet adjusts its attention across forecast lead times.Intensity corrections prioritize inner-core dynamics,particularly the eye and eyewall,while track corrections shift from lower-level variables and the cyclone’s core to broader environmental factors and mid-to upper-level features as the forecast duration increases.These findings demonstrate that CycloneBCNet effectively captures key TC dynamics consistent with meteorological principles,including the dominance of near-surface conditions for intensity and the increasing influence of steering currents on track prediction.
基金financially supported by the National Natural Science Foundation of China(Nos.82272472 and 52373146)。
文摘Early knee osteoarthritis(KOA)is characterized by progressive degeneration of the articular cartilage,synovial inflammation,and excessive accumulation of reactive oxygen species(ROS).At present,intra-articular injection of hyaluronic acid(HA)is widely used to alleviate symptoms;however,its lubrication persistence,antioxidant,and anti-inflammatory abilities are limited,and it is difficult to effectively delay the early process of cartilage degeneration.Based on this,hyaluronic acid-g-lipoic acid(HA-LA)was synthesized by esterification reaction,and HA-LA microspheres were prepared by a reversed-phase emulsion method,which was combined with a macromolecular HA-LA solution to form injectable hydrogels.The objective of this study was to evaluate the efficacy of an injectable hydrogel based on hyaluronic acid-g-lipoic acid microspheres(HA-LA MS)for the treatment of KOA and to verify its injectability,lubricity,reactive oxygen species(ROS)scavenging ability,and anti-inflammatory effects.The results show that the HA-LA MS hydrogel has excellent shear thinning characteristics and continuous injectability,and its microsphere structure significantly reduces the interfacial friction coefficient through the rolling effect.In vitro experiments have shown that the hydrogel can efficiently scavenge ROS,reduce the expression of inflammatory factors,and is non-cytotoxic.The HA-LA MS injectable hydrogel has excellent lubricity,ROS scavenging ability,and anti-inflammatory effects in vivo,which can effectively delay the degeneration of early KOA cartilage,and its efficacy is significantly better than that of traditional hyaluronic acid,making it a promising intra-articular injection preparation.