BACKGROUND Histological changes after direct-acting antivirals(DAAs)therapy in hepatitis C virus(HCV)patients has not been elucidated.Whether the predominantly progressive,indeterminate and predominately regressive(P-...BACKGROUND Histological changes after direct-acting antivirals(DAAs)therapy in hepatitis C virus(HCV)patients has not been elucidated.Whether the predominantly progressive,indeterminate and predominately regressive(P-I-R)score,evaluating fibrosis activity in hepatitis B virus patients has predictive value in HCV patients has not been investigated.AIM To identify histological changes after DAAs therapy and to evaluate the predictive value of the P-I-R score in HCV patients.METHODS Chronic HCV patients with paired liver biopsy specimens before and after DAAs treatment were included.Sustained virologic response(SVR)was defined as an undetectable serum HCV RNA level at 24 wk after treatment cessation.The Ishak system and P-I-R score were assessed.Inflammation improvement and fibrosis regression were defined as a≥2-points decrease in the histology activity index(HAI)score and a≥1-point decrease in the Ishak fibrosis score,respectively.Fibrosis progression was defined as a≥1-point increase in the Ishak fibrosis score.Histologic improvement was defined as a≥2-points decrease in the HAI score without worsening of the Ishak fibrosis score after DAAs therapy.The P-I-R score was also assessed.“absolutely reversing or advancing”was defined as the same directionality implied by both change in the Ishak score and posttreatment P-I-R score;and“probably reversing or advancing”was defined as only one parameter showing directionality.RESULTS Thirty-eight chronic HCV patients with paired liver biopsy specimens before and after DAAs treatment were included.The mean age of these patients was 40.9±14.6 years and there were 53%(20/38)males.Thirty-four percent(13/38)of patients were cirrhotic.Eighty-two percent(31/38)of patients achieved inflammation improvement.The median HAI score decreased significantly after SVR(pretreatment 7.0 vs posttreatment 2.0,Z=-5.146,P=0.000).Thirty-seven percent(14/38)of patients achieved fibrosis improvement.The median Ishak score decreased significantly after SVR(pretreatment 4.0 vs posttreatment 3.0,Z=-2.354,P=0.019).Eighty-two percent(31/38)of patients showed histological improvement.The P-I-R score was evaluated in 61%(23/38)of patients.The progressive group showed lower platelet(P=0.024)and higher HAI scores(P=0.070)before treatment.In patients with stable Ishak stage after treatment:Progressive injury was seen in 22%(4/18)of patients,33%(6/18)were classified as indeterminate and regressive changes were seen in 44%(8/18)of patients who were judged as probably reversing by the Ishak and P-I-R systems.CONCLUSION Significant improvement of necroinflammation and partial remission of fibrosis in HCV patients occurred shortly after DAAs therapy.The P-I-R score has potential in predicting fibrosis in HCV patients.展开更多
Active inflammation in“inactive”progressive multiple sclerosis:Traditionally,the distinction between relapsing-remitting multiple sclerosis and progressive multiple sclerosis(PMS)has been framed as an inflammatory v...Active inflammation in“inactive”progressive multiple sclerosis:Traditionally,the distinction between relapsing-remitting multiple sclerosis and progressive multiple sclerosis(PMS)has been framed as an inflammatory versus degenerative dichotomy.This was based on a broad misconception regarding essentially all neurodegenerative conditions,depicting the degenerative process as passive and immune-independent occurring as a late byproduct of active inflammation in the central nervous system(CNS),which is(solely)systemically driven.展开更多
Polymers present a promising avenue for soil stabilization,yet the full deformation process and progressive failure characteristics of polymer-treated soils remain insufficiently understood.This study investigates the...Polymers present a promising avenue for soil stabilization,yet the full deformation process and progressive failure characteristics of polymer-treated soils remain insufficiently understood.This study investigates the strength and deformation mechanisms of silty sand stabilized with a widely used waterborne polyurethane(WPU)through unconfined compression tests.Key aspects evaluated include axial stress–strain response,strength parameters,energy absorption capacity(E10 and E20),failure behavior,and post-failure integrity.The effects of curing time and WPU content were systematically examined,supported by microstructural analyses.Results indicate that WPU forms a cohesive three-dimensional polymer network within the soil matrix,fundamentally enhancing strength and transforming the failure mode to progressive ductile bulging.This polymer architecture enables a high unconfined compressive strength(UCS)of up to 812.39 kPa,substantial deformability with failure strains(εf)reaching 12.35%,and notable energy absorption(E₂₀ up to 137.62 kPa).Both strength and toughness increase linearly with curing time and WPU content.An optimal WPU dosage of approximately 3%combined with curing beyond 24 hours is identified to maximize the strength-ductility synergy.Microstructurally,the failure process is delineated into six consecutive stages,governed by the evolution of polymer bridging and interfacial bonding.These findings advance the understanding of the overall deformation-failure behavior of polymer-treated soil and provide deeper insights for the tailored design of polymer-based soil stabilization.展开更多
Reservoir-induced landslides in China's Three Gorges Reservoir area are prone to tensile cracks due to the influenceof their own weight and fluctuationsin water levels.The presence of cracks indicates that the ten...Reservoir-induced landslides in China's Three Gorges Reservoir area are prone to tensile cracks due to the influenceof their own weight and fluctuationsin water levels.The presence of cracks indicates that the tensile stress in the area has exceeded the tensile strength of the soil,leading to local instability.To explore the impact of tensile failure behavior on the stability and failure modes of reservoir landslides,the Huangtupo Riverside Slump#1 is taken as a case study.By considering local tensile failure,potential tensile cracks are incorporated into the analysis via the limit equilibrium method and reliability theory.The reliability of landslides under different tensile failure scenarios is quantified.Strain-softening characteristics of the soil are combined to further analyze the failure transmission path of the landslide.Finally,these potential failure modes were validated through physical model tests.The results show that cracks developing at rear positions reduce the stability of the slope and increase the probability of instability.During the destruction process,retrogressive failures with multiple sliding surfaces are likely to occur.However,tensile failure at the forefront reduces the likelihood of an individual slide mass descending.Progressive failure results in both regular and skip transmission patterns.Additionally,cracks and water level changes can also lead to shifts in the positions of the most dangerous blocks.Therefore,in practical landslide analysis and prevention,it is necessary to consider local tensile damage and identify potential tensile crack locations in advance to optimize prevention measures and accurately evaluate landslide risk.展开更多
The mining industry is frequently subjected to various disasters,one of the major concerns is water-related disasters,particularly seam floor water inrush.These disasters pose significant threats to the safety and pro...The mining industry is frequently subjected to various disasters,one of the major concerns is water-related disasters,particularly seam floor water inrush.These disasters pose significant threats to the safety and production of deep coal mines.The primary reason for this is that the fracturing of the rock mass induces the formation of a fluid(water)with both kinetic and potential energy.In this paper,a novel water inrush mechanism for deep floor failure due to water hammer effects is proposed based on the Xingdong coal mine in China.The water hammer pressure within rock pore channels has a different impact on the surrounding rock,leading to the degradation of the rock mass channel through repeated conduction and instantaneous cutoff.To further investigate this phenomenon,a progressive corrosion fracture mechanics(PCFM)model induced by a water hammer is established.The results show that the water hammer pressure caused by instantaneous channel truncation increases with increasing water flow velocity.The chemical damage factor(i.e.,stress corrosion fracture)is also incorporated into the Dugdale-Barenblatt(D-B)model to analyze the factors influencing the PCFM.These findings indicate that the greater the degree of damage is,the more likely the concealed fault is to experience water inrush.Finally,methods for controlling water inrush caused by the water hammer effects of deep floors are proposed.The failure mechanisms of the water hammer and the PCFM provide theoretical and practical guidance for controlling water inrush from the deep floor.展开更多
Clonal hematopoiesis of indeterminate potential(CHIP),driven by leukemia-related somatic mutations in hematopoietic stem cells,previously recognized as a major risk factor for hematological malignancies,has now emerge...Clonal hematopoiesis of indeterminate potential(CHIP),driven by leukemia-related somatic mutations in hematopoietic stem cells,previously recognized as a major risk factor for hematological malignancies,has now emerged as a potent risk factor for chronic inflammation and diverse non-hematologic diseases.CHIP-associated DNA methyltransferase 3 alpha(DNMT3A),tet methylcytosine dioxygenase 2(TET2),and additional sex combs like 1(ASXL1)mutations alter epigenetic programs,skew myelopoiesis,and increase proinflammatory cytokines,resulting in chronic inflammation and immune imbalance.This review integrates mechanistic insights with clinical evidence to delineate CHIP's roles in solid tumors,cardiovascular disorders,and metabolic dysregulation,with an extended discussion of renal dysfunction and neurodegenerative conditions.Furthermore,we also discuss CHIP's diagnostic and therapeutic impacts across multiple disease contexts,advocating for mutation-specific diagnostic paradigms to guide therapeutic interventions.展开更多
The energy-driven progressive brittle shear failure of rock joints is a key mechanism behind deep engineering disasters such as joint-induced rockbursts and engineering earthquakes.To investigate the energy evolution ...The energy-driven progressive brittle shear failure of rock joints is a key mechanism behind deep engineering disasters such as joint-induced rockbursts and engineering earthquakes.To investigate the energy evolution mechanisms and disaster proneness,monotonic and stepwise loading-unloading tests were performed on regular dentate joints under constant normal stiffness boundary conditions.Results indicate a transition in damage mechanism from climbing wear of low-inclination asperities to brittle rupture of high-inclination ones,accompanied by a marked decrease in irreversible displacement.Energy analysis reveals a strong linear relationship between pre-peak elastic energy density and both input energy density and shear stress squared.The post-peak elastic energy release rate(η),and the self-sustaining instability coefficient(μ) increase with joint undulation.A dimensionless brittleness index(BI) integrating the complete energy conversion and release process was proposed to quantify the energy balanced budget.The highly undulated joint R4 showed the most pronounced brittleness and instability intensity,with the highest BI value of 0.697,along with η=0.774 and μ=0.611.This study provides deeper insight into the understanding of the disaster-inducing proneness and stability assessment in jointed rock mass.展开更多
Glaucoma and secondary glaucoma are two late-onset and progressive optic neuropathies characterized by progressive optic nerve damage resulting from the loss of retinal ganglion cells(RGCs)and their axons which ultima...Glaucoma and secondary glaucoma are two late-onset and progressive optic neuropathies characterized by progressive optic nerve damage resulting from the loss of retinal ganglion cells(RGCs)and their axons which ultimately manifest as visual field defects.Intraocular pressure(IOP)elevation due to impeded aqueous humor(AH)outflow is found frequently associated with glaucoma,and IOP lowering is usually concomitant with preservation or retention of visual function.Current limitations in glaucoma diagnosis and therapy include a lack of diagnostic and/or susceptibility biomarkers,as well as heterogeneity in the rate of disease progression and treatment efficacy between patients.Rapid analytical advancements in different omics(genome,transcriptome,proteome,lipidome,and metabolome)have provided new avenues to identify biomarkers and drug therapy targets.However,limitations in single-omics studies—such as variance in preparation and analysis methods,incomplete databases used for annotation of molecular components,and limited clinical translatability due to the use of animal models—necessitate multi-omic integration for mutual validation and expansion upon existing knowledge.Our review outlines advancements in glaucoma through different omic studies,demonstrates omics integration using AH datasets of control and glaucoma patients,and discusses current obstacles in multi-omic integration such as standardization across systems and omes and inherent limitations in knowledge-and data-driven approaches to network building.Ultimately,we propose that multi-omics may help expand our understanding of pathological mechanisms in all forms of glaucoma and other late-onset progressive neurodegenerative diseases,advancing discoveries for better interventions.展开更多
Recent advances in deep learning have significantly improved image deblurring;however,existing approaches still suffer from limited global context modeling,inadequate detail restoration,and poor texture or edge percep...Recent advances in deep learning have significantly improved image deblurring;however,existing approaches still suffer from limited global context modeling,inadequate detail restoration,and poor texture or edge perception,especially under complex dynamic blur.To address these challenges,we propose the Multi-Resolution Fusion Network(MRFNet),a blind multi-scale deblurring framework that integrates progressive residual connectivity for hierarchical feature fusion.The network employs a three-stage design:(1)TransformerBlocks capture long-range dependencies and reconstruct coarse global structures;(2)Nonlinear Activation Free Blocks(NAFBlocks)enhance local detail representation and mid-level feature fusion;and(3)an optimized residual subnetwork based on gated feature modulation refines texture and edge details for high-fidelity restoration.Extensive experiments demonstrate that MRFNet achieves superior performance compared to state-of-the-art methods.On GoPro,it attains 32.52 dB Peak Signal-to-Noise Ratio(PSNR)and 0.071 Learned Perceptual Image Patch Similarity(LPIPS),outperforming MIMOWNet(32.50 dB,0.075).On HIDE,it achieves 30.25 dB PSNR and 0.945 Structural Similarity Index Measure(SSIM),representing gains of+0.26 dB and+0.015 SSIM over MIMO-UNet(29.99 dB,0.930).On RealBlur-J,it reaches 28.82 dB PSNR and 0.872 SSIM,surpassing MIMO-UNet by+1.19 dB and+0.035 SSIM(27.63 dB,0.837).These results validate the effectiveness of the proposed progressive residual fusion and hybrid attention mechanisms in balancing global context understanding and local detail recovery for blind image deblurring.展开更多
Failure of an aircraft Drag Chute Lock Mechanism(DCLM)can prevent the drag chute from being thrown properly,which may threaten the safety of aircraft and crew.The DCLM is affected by Multiple Progressive Damage(MPD)fa...Failure of an aircraft Drag Chute Lock Mechanism(DCLM)can prevent the drag chute from being thrown properly,which may threaten the safety of aircraft and crew.The DCLM is affected by Multiple Progressive Damage(MPD)factors during operation,and its global sensitivity analysis introduces many parameters that substantially increase the computational cost.This paper proposes a global sensitivity analysis method based on partial derivatives to solve the above problems,which reduces the dimensionality of the parameters to decrease the computational cost and improve the efficiency of global sensitivity analysis.Based on the operating principle of DCLM,it is analyzed for MPD factors,including wear,impact and creep.A reliability model considering MPD factors is developed for the DCLM,which is analyzed using a global sensitivity calculation method that is based on partial derivatives,and optimization suggestions for improving reliability are given for important input parameters.The results of the numerical study show that the proposed partial-derivative-based global sensitivity analysis method improves the efficiency of sensitivity analysis under consideration of the MPD and increases the reliability of the mechanism through parameter optimization.展开更多
Fine-scale structures can be observed in small field-of-view(FOV)auroral observations,but they are often overlooked because they appear only sporadically in all-sky observations.Such forms are of great interest becaus...Fine-scale structures can be observed in small field-of-view(FOV)auroral observations,but they are often overlooked because they appear only sporadically in all-sky observations.Such forms are of great interest because they may embody specific magnetosphere-ionosphere coupling processes,reveal localized energy deposition pathways,and provide new insights into cross-scale plasma dynamics and instabilities.However,their limited spatial extent,transient occurrence,and scarcity in wide-FOV observations make systematic investigation challenging.Traditional manual analysis struggles to capture these subtle structures within vast all-sky datasets,while automated detection faces severe data imbalance and morphological ambiguity.To address these challenges,we propose a synthetic-to-real progressive learning framework for cross-FOV retrieval of rare auroral forms.A Generative Adversarial Network(GAN)is employed to perform cross-FOV transformation between unpaired small-FOV images containing rare aurora forms and all-sky images(ASI)without such structures,thereby generating large numbers of synthetic ASI with rare auroral morphology.These synthetic samples are used to train an initial detection model,which subsequently undergoes iterative fine-tuning through feedback-guided learning:The model performs inference on new all-sky data,and the progressively accumulated real detections are incorporated into the training set.Experimental results demonstrate that the proposed method achieves over 92%detection accuracy on ASI,enabling high-precision retrieval of small-scale auroral structures across large-scale observations.This framework provides a scalable and effective approach to rediscovering rare auroral phenomena in continuous all-sky monitoring,offering new opportunities for exploring the fine-scale dynamics of the upper atmosphere.展开更多
The instantaneous nucleation of Sn originating from the uncontrolled diffusion of Sn2+ions typically forms large,electrochemically inactive“dead Sn”that severely constraints the plating/stripping reversibility of...The instantaneous nucleation of Sn originating from the uncontrolled diffusion of Sn2+ions typically forms large,electrochemically inactive“dead Sn”that severely constraints the plating/stripping reversibility of Sn anode for acidic aqueous batteries.Herein,nanoscale spatial confinement of Sn2+ions is realized in SnSO4 electrolyte by strategically dictating spontaneous assembly of nanomicelles with amphipathic sulfolane.The as-constructed locally heterogeneous environment ensures the sustainable release of Sn2+ions,which reprograms the nucleation manner from instantaneous to progressive modes.The consequent progressive formation of Sn nuclei triggers size refinement of electrodeposited Sn,thereby alleviating the“dead Sn”issue.Meanwhile,the reaction competitivity of Sn2+reduction over hydrogen evolution side reaction is effectively strengthened as the consecutive hydrogen bonding network among bulk water is disrupted by the micellar structure.Consequently,Sn anode exerts an unprecedently high average Coulombic efficiency of 99.97%and witnesses a prominent life span extension from 710 to 8400 h(~11-fold enhancement).In a dual-plating configuration,the Sn||Mn full battery delivers a 1.6 V discharge plateau and sustains 790 cycles,demonstrating practical feasibility.Our findings underscore the decisive role of the very initial nucleation behavior in regulating metal electrochemistry,applicable to other multivalent anodes.展开更多
In light of the limitations of single-source remote sensing data for accurate Earth observation,integrating hyperspectral image(HSI)and synthetic aperture radar(SAR)data has been shown to be meaningful for land-cover ...In light of the limitations of single-source remote sensing data for accurate Earth observation,integrating hyperspectral image(HSI)and synthetic aperture radar(SAR)data has been shown to be meaningful for land-cover classification task.Nevertheless,owing to the substantial disparities in imaging mechanisms and data attributes across different sources,existing classification methods still encounter certain challenges in adaptability and collaboration for frequency feature extraction and heterogeneous information fusion.As such,a new progressive frequency-division network is presented for joint classification of HSI and SAR data.Firstly,a progressive frequency decomposition module is designed to fully explore high-and low-frequency information of multisource remote sensing data,and minimize redundant information,thus achieving complementary and discriminative fusion feature extraction.After that,with an effective bidirectional propagation mechanism,a multiscale interaction module is further built to collaborate local and global information and explore more discriminative multiscale representations,thereby more accurately representing and classifying complex land covers.Experimental results for two public datasets containing HSI and SAR data reveal that the proposed model outperforms other competitors.展开更多
In the context of Sino-foreign cooperative education programs,college students’career development exhibits cross-cultural characteristics,multiple pathways,and high uncertainty.The traditional guidance model,focused ...In the context of Sino-foreign cooperative education programs,college students’career development exhibits cross-cultural characteristics,multiple pathways,and high uncertainty.The traditional guidance model,focused primarily on employment services at graduation stages,can no longer meet the comprehensive educational needs throughout the entire learning process.This study investigates the construction,implementation,and optimization of a phased progressive career development guidance system.Centered on the four-year undergraduate growth trajectory,it establishes a step-by-step guidance framework encompassing“career awareness awakening,pathway diversification,competency accumulation,and decision implementation.”Leveraging career development profiling and artificial intelligence technologies,the system utilizes concentrated practical training in senior years as a critical implementation domain to achieve job matching,risk prediction,and decision support.The study suggests that this system enhances the continuity,precision,and effectiveness of career guidance,facilitating the transition of career development support for international students from end-stage services to holistic educational cultivation throughout their academic journey.展开更多
Accelerated life tests play a vital role in reliability analysis,especially as advanced technologies lead to the production of highly reliable products to meet market demands and competition.Among these tests,progress...Accelerated life tests play a vital role in reliability analysis,especially as advanced technologies lead to the production of highly reliable products to meet market demands and competition.Among these tests,progressive-stress accelerated life tests(PSALT)allow for continuous changes in applied stress.Additionally,the generalized progressive hybrid censoring(GPHC)scheme has attracted significant attention in reliability and survival analysis,particularly for handling censored data in accelerated testing.It has been applied to various failure models,including competing risks and step-stress models.However,despite its growing relevance,a notable gap remains in the literature regarding the application of GPHC in PSALT models.This paper addresses that gap by studying PSALT under a GPHC scheme with binomial removal.Specifically,it considers lifetimes following the quasi-Xgamma distribution.Model parameters are estimated using both maximum likelihood and Bayesian methods under gamma priors.Interval estimation is provided through approximate confidence intervals,bootstrap methods,and Bayesian credible intervals.Bayesian estimators are derived under squared error and entropy loss functions,using informative priors in simulation and non-informative priors in real data applications.A simulation study is conducted to evaluate various censoring schemes,with coverage probabilities and interval widths assessed via Monte Carlo simulations.Additionally,Bayesian predictive estimates and intervals are presented.The proposed methodology is illustrated through the analysis of two real-world accelerated life test datasets.展开更多
Background Progressive oxidative stress easily occurs as a result of a gradual increase in the intensity of maternal metabolism due to rapid foetal development and increased intensity of lactation.However,studies on t...Background Progressive oxidative stress easily occurs as a result of a gradual increase in the intensity of maternal metabolism due to rapid foetal development and increased intensity of lactation.However,studies on the effects of processive oxidative stress on nutrient transport in the placenta have received little attention.The present study was conducted on sows at 85 days of gestation to study the effects of pterostilbene(PTE)on maternal oxidative stress status and placental nutrient transport.Results PTE increased the antioxidant capacity and immunoglobulin content in mothers’blood and milk,reduced the level of inflammatory factors,and improved the nutrient content of milk.PTE also reduced sow backfat loss and the number of weak sons,and increased piglet weaning weight and total weaning litter weight.We subsequently found that PTE enhanced placental glucose and fatty acid transport and further affected glycolipid metabolism by increasing the expression of LAL,PYGM,and Gbe-1,which activated the PI3K phosphorylation pathway.Moreover,PTE addition altered the relative abundance of the Firmicutes,Proteobacteria,Parabacillus,and Bacteroidetes-like RF16 groups in sow faeces.PTE increased the levels of acetate,propionate,butyrate and isovalerate in the faeces.Conclusions These findings reveal that the addition of PTE during pregnancy and lactation mitigates the effects of processive oxidative stress on offspring development by altering maternal microbial and placental nutrient trans-port capacity.展开更多
The microstructural evolution of a cold-rolled and intercritical annealed medium-Mn steel(Fe-0.10C-5Mn)was investigated during uniaxial tensile testing.In-situ observations under scanning electron microscopy,transmiss...The microstructural evolution of a cold-rolled and intercritical annealed medium-Mn steel(Fe-0.10C-5Mn)was investigated during uniaxial tensile testing.In-situ observations under scanning electron microscopy,transmission electron microscopy,and X-ray diffraction analysis were conducted to characterize the progressive transformation-induced plasticity process and associated fracture initiation mechanisms.These findings were discussed with the local strain measurements via digital image correlation.The results indicated that Lüders band formation in the steel was limited to 1.5%strain,which was mainly due to the early-stage martensitic phase transformation of a very small amount of the less stable large-sized retained austenite(RA),which led to localized stress concentrations and strain hardening and further retardation of yielding.The small-sized RA exhibited high stability and progressively transformed into martensite and contributed to a stably extended Portevin-Le Chatelier effect.The volume fraction of RA gradually decreased from 26.8%to 8.2%prior to fracture.In the late deformation stage,fracture initiation primarily occurred at the austenite/martensite and ferrite/martensite interfaces and the ferrite phase.展开更多
High-altitude cold regions exhibit complex geological and environmental conditions,fostering steep rock slopes with macroscopic joints and mesoscopic freeze-thaw(F-T)damage.Cyclic loading further exacerbates rock inst...High-altitude cold regions exhibit complex geological and environmental conditions,fostering steep rock slopes with macroscopic joints and mesoscopic freeze-thaw(F-T)damage.Cyclic loading further exacerbates rock instability,yet the fracture mechanisms and load response relationships remain poorly understood.This study prepared intact and fractured sandstone specimens,subjected them to F-T cycles and graded loading-unloading,and monitored their structural evolution via X-ray computed tomography.First,the progressive failure process was investigated from both qualitative morphologic features and quantitative void parameters.The results showed that intact and fractured sandstone instability behaviors are determined by F-T damage and joint arrangement,respectively.However,both indicate that precursory localization of failure can only be detected when heterogeneous damage exists in advance.Furthermore,the void parameters of undamaged intact sandstone exhibit power-law acceleration,while damaged sandstones are characterized by a trend of initial decrease followed by an increase.Subsequently,a damage constitutive model for freeze-thawed fractured sandstone under graded loading-unloading was established.This model is based on the Lemaitre strain equivalence hypothesis and defines the coupled damage variable through multivariable indicators.In this framework,the material damage induced by fractures and F-T is unified and characterized by void parameters;while the load-induced damage is integrated with the energy linear allocation law and defined by damage energy.Thus,the stress-strain theoretical relationship is depicted,and the model is validated as reliable.Finally,a conceptual model of rock damage due to F-T and loading-unloading was proposed by combining the microscopic testing results from X-ray diffraction and scanning electron microscopy.展开更多
patients with PPF.TCM treatments are typically diverse and individualized,requiring urgent development of efficient and precise design strategies to identify effective treatment options.We designed an innovative Bayes...patients with PPF.TCM treatments are typically diverse and individualized,requiring urgent development of efficient and precise design strategies to identify effective treatment options.We designed an innovative Bayesian adaptive two-stage trial,hoping to provide new ideas for the rapid evaluation of the effectiveness of TCM in PPF.An open-label,two-stage,adaptive Bayesian randomized controlled trial will be conducted in China.Based on Bayesian methods,the trial will employ response-adaptive randomization to allocate patients to study groups based on data collected over the course of the trial.The adaptive Bayesian trial design will employ a Bayesian hierarchical model with“stopping”and“continuation”criteria once a predetermined posterior probability of superiority or futility and a decision threshold are reached.The trial can be implemented more efficiently by sharing the master protocol and organizational management mechanisms of the sub-trial we have implemented.The primary patient-reported outcome is a change in the Leicester Cough Questionnaire score,reflecting an improvement in cough-specific quality of life.The adaptive Bayesian trial design may be a promising method to facilitate the rapid clinical evaluation of TCM effectiveness for PPF,and will provide an example for how to evaluate TCM effectiveness in rare and refractory diseases.However,due to the complexity of the trial implementation,sufficient simulation analysis by professional statistical analysts is required to construct a Bayesian response-adaptive randomization procedure for timely response.Moreover,detailed standard operating procedures need to be developed to ensure the feasibility of the trial implementation.展开更多
Underwater target detection in forward-looking sonar(FLS)images is a challenging but promising endeavor.The existing neural-based methods yield notable progress but there remains room for improvement due to overlookin...Underwater target detection in forward-looking sonar(FLS)images is a challenging but promising endeavor.The existing neural-based methods yield notable progress but there remains room for improvement due to overlooking the unique characteristics of underwater environments.Considering the problems of low imaging resolution,complex background environment,and large changes in target imaging of underwater sonar images,this paper specifically designs a sonar images target detection Network based on Progressive sensitivity capture,named ProNet.It progressively captures the sensitive regions in the current image where potential effective targets may exist.Guided by this basic idea,the primary technical innovation of this paper is the introduction of a foundational module structure for constructing a sonar target detection backbone network.This structure employs a multi-subspace mixed convolution module that initially maps sonar images into different subspaces and extracts local contextual features using varying convolutional receptive fields within these heterogeneous subspaces.Subsequently,a Scale-aware aggregation module effectively aggregates the heterogeneous features extracted from different subspaces.Finally,the multi-scale attention structure further enhances the relational perception of the aggregated features.We evaluated ProNet on three FLS datasets of varying scenes,and experimental results indicate that ProNet outperforms the current state-of-the-art sonar image and general target detectors.展开更多
基金The National Natural Science Foundation of China,No.81870406the Beijing Natural Science Foundation,No.7182174and the China National Science and Technology Major Project for Infectious Diseases Control during the 13th Five-Year Plan Period,No.2017ZX10202202.
摘要BACKGROUND Histological changes after direct-acting antivirals(DAAs)therapy in hepatitis C virus(HCV)patients has not been elucidated.Whether the predominantly progressive,indeterminate and predominately regressive(P-I-R)score,evaluating fibrosis activity in hepatitis B virus patients has predictive value in HCV patients has not been investigated.AIM To identify histological changes after DAAs therapy and to evaluate the predictive value of the P-I-R score in HCV patients.METHODS Chronic HCV patients with paired liver biopsy specimens before and after DAAs treatment were included.Sustained virologic response(SVR)was defined as an undetectable serum HCV RNA level at 24 wk after treatment cessation.The Ishak system and P-I-R score were assessed.Inflammation improvement and fibrosis regression were defined as a≥2-points decrease in the histology activity index(HAI)score and a≥1-point decrease in the Ishak fibrosis score,respectively.Fibrosis progression was defined as a≥1-point increase in the Ishak fibrosis score.Histologic improvement was defined as a≥2-points decrease in the HAI score without worsening of the Ishak fibrosis score after DAAs therapy.The P-I-R score was also assessed.“absolutely reversing or advancing”was defined as the same directionality implied by both change in the Ishak score and posttreatment P-I-R score;and“probably reversing or advancing”was defined as only one parameter showing directionality.RESULTS Thirty-eight chronic HCV patients with paired liver biopsy specimens before and after DAAs treatment were included.The mean age of these patients was 40.9±14.6 years and there were 53%(20/38)males.Thirty-four percent(13/38)of patients were cirrhotic.Eighty-two percent(31/38)of patients achieved inflammation improvement.The median HAI score decreased significantly after SVR(pretreatment 7.0 vs posttreatment 2.0,Z=-5.146,P=0.000).Thirty-seven percent(14/38)of patients achieved fibrosis improvement.The median Ishak score decreased significantly after SVR(pretreatment 4.0 vs posttreatment 3.0,Z=-2.354,P=0.019).Eighty-two percent(31/38)of patients showed histological improvement.The P-I-R score was evaluated in 61%(23/38)of patients.The progressive group showed lower platelet(P=0.024)and higher HAI scores(P=0.070)before treatment.In patients with stable Ishak stage after treatment:Progressive injury was seen in 22%(4/18)of patients,33%(6/18)were classified as indeterminate and regressive changes were seen in 44%(8/18)of patients who were judged as probably reversing by the Ishak and P-I-R systems.CONCLUSION Significant improvement of necroinflammation and partial remission of fibrosis in HCV patients occurred shortly after DAAs therapy.The P-I-R score has potential in predicting fibrosis in HCV patients.
摘要Active inflammation in“inactive”progressive multiple sclerosis:Traditionally,the distinction between relapsing-remitting multiple sclerosis and progressive multiple sclerosis(PMS)has been framed as an inflammatory versus degenerative dichotomy.This was based on a broad misconception regarding essentially all neurodegenerative conditions,depicting the degenerative process as passive and immune-independent occurring as a late byproduct of active inflammation in the central nervous system(CNS),which is(solely)systemically driven.
基金supported by National Key R&D Program of China(2025YFE0123000)the National Natural Science Foundation of China(No.52208339,U22A20232,52278347)+2 种基金Open Project Funding of Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes,Ministry of Education,Hubei University of Technology(No.HGKFZP007)Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lakes(No.2020EJB004)Water Conservancy Science and Technology Project of Jiangsu Province,China(No.2017010).
摘要Polymers present a promising avenue for soil stabilization,yet the full deformation process and progressive failure characteristics of polymer-treated soils remain insufficiently understood.This study investigates the strength and deformation mechanisms of silty sand stabilized with a widely used waterborne polyurethane(WPU)through unconfined compression tests.Key aspects evaluated include axial stress–strain response,strength parameters,energy absorption capacity(E10 and E20),failure behavior,and post-failure integrity.The effects of curing time and WPU content were systematically examined,supported by microstructural analyses.Results indicate that WPU forms a cohesive three-dimensional polymer network within the soil matrix,fundamentally enhancing strength and transforming the failure mode to progressive ductile bulging.This polymer architecture enables a high unconfined compressive strength(UCS)of up to 812.39 kPa,substantial deformability with failure strains(εf)reaching 12.35%,and notable energy absorption(E₂₀ up to 137.62 kPa).Both strength and toughness increase linearly with curing time and WPU content.An optimal WPU dosage of approximately 3%combined with curing beyond 24 hours is identified to maximize the strength-ductility synergy.Microstructurally,the failure process is delineated into six consecutive stages,governed by the evolution of polymer bridging and interfacial bonding.These findings advance the understanding of the overall deformation-failure behavior of polymer-treated soil and provide deeper insights for the tailored design of polymer-based soil stabilization.
基金supported by the Major Program of National Natural Science Foundation of China(Grant No.42090055)the National Key ScientificInstruments and Equipment Development Projects of China(Grant No.41827808)the National Nature Science Foundation of China(Grant No.42207216).
摘要Reservoir-induced landslides in China's Three Gorges Reservoir area are prone to tensile cracks due to the influenceof their own weight and fluctuationsin water levels.The presence of cracks indicates that the tensile stress in the area has exceeded the tensile strength of the soil,leading to local instability.To explore the impact of tensile failure behavior on the stability and failure modes of reservoir landslides,the Huangtupo Riverside Slump#1 is taken as a case study.By considering local tensile failure,potential tensile cracks are incorporated into the analysis via the limit equilibrium method and reliability theory.The reliability of landslides under different tensile failure scenarios is quantified.Strain-softening characteristics of the soil are combined to further analyze the failure transmission path of the landslide.Finally,these potential failure modes were validated through physical model tests.The results show that cracks developing at rear positions reduce the stability of the slope and increase the probability of instability.During the destruction process,retrogressive failures with multiple sliding surfaces are likely to occur.However,tensile failure at the forefront reduces the likelihood of an individual slide mass descending.Progressive failure results in both regular and skip transmission patterns.Additionally,cracks and water level changes can also lead to shifts in the positions of the most dangerous blocks.Therefore,in practical landslide analysis and prevention,it is necessary to consider local tensile damage and identify potential tensile crack locations in advance to optimize prevention measures and accurately evaluate landslide risk.
基金supported by the National Natural Science Foundation of China(Grant Nos.52225404 and 52404121)the Key Research and Development Program Projects of Xinjiang Uygur Autonomous Region(Grant No.2024B03017).
摘要The mining industry is frequently subjected to various disasters,one of the major concerns is water-related disasters,particularly seam floor water inrush.These disasters pose significant threats to the safety and production of deep coal mines.The primary reason for this is that the fracturing of the rock mass induces the formation of a fluid(water)with both kinetic and potential energy.In this paper,a novel water inrush mechanism for deep floor failure due to water hammer effects is proposed based on the Xingdong coal mine in China.The water hammer pressure within rock pore channels has a different impact on the surrounding rock,leading to the degradation of the rock mass channel through repeated conduction and instantaneous cutoff.To further investigate this phenomenon,a progressive corrosion fracture mechanics(PCFM)model induced by a water hammer is established.The results show that the water hammer pressure caused by instantaneous channel truncation increases with increasing water flow velocity.The chemical damage factor(i.e.,stress corrosion fracture)is also incorporated into the Dugdale-Barenblatt(D-B)model to analyze the factors influencing the PCFM.These findings indicate that the greater the degree of damage is,the more likely the concealed fault is to experience water inrush.Finally,methods for controlling water inrush caused by the water hammer effects of deep floors are proposed.The failure mechanisms of the water hammer and the PCFM provide theoretical and practical guidance for controlling water inrush from the deep floor.
基金supported by the National Natural Science Foundation of China(82270147)。
摘要Clonal hematopoiesis of indeterminate potential(CHIP),driven by leukemia-related somatic mutations in hematopoietic stem cells,previously recognized as a major risk factor for hematological malignancies,has now emerged as a potent risk factor for chronic inflammation and diverse non-hematologic diseases.CHIP-associated DNA methyltransferase 3 alpha(DNMT3A),tet methylcytosine dioxygenase 2(TET2),and additional sex combs like 1(ASXL1)mutations alter epigenetic programs,skew myelopoiesis,and increase proinflammatory cytokines,resulting in chronic inflammation and immune imbalance.This review integrates mechanistic insights with clinical evidence to delineate CHIP's roles in solid tumors,cardiovascular disorders,and metabolic dysregulation,with an extended discussion of renal dysfunction and neurodegenerative conditions.Furthermore,we also discuss CHIP's diagnostic and therapeutic impacts across multiple disease contexts,advocating for mutation-specific diagnostic paradigms to guide therapeutic interventions.
基金financial support was received from the National Key Research and Development Program of China (No.2024YFF0508204)the National Natural Science Foundation of China (Nos.52438007 and 12372378)。
摘要The energy-driven progressive brittle shear failure of rock joints is a key mechanism behind deep engineering disasters such as joint-induced rockbursts and engineering earthquakes.To investigate the energy evolution mechanisms and disaster proneness,monotonic and stepwise loading-unloading tests were performed on regular dentate joints under constant normal stiffness boundary conditions.Results indicate a transition in damage mechanism from climbing wear of low-inclination asperities to brittle rupture of high-inclination ones,accompanied by a marked decrease in irreversible displacement.Energy analysis reveals a strong linear relationship between pre-peak elastic energy density and both input energy density and shear stress squared.The post-peak elastic energy release rate(η),and the self-sustaining instability coefficient(μ) increase with joint undulation.A dimensionless brittleness index(BI) integrating the complete energy conversion and release process was proposed to quantify the energy balanced budget.The highly undulated joint R4 showed the most pronounced brittleness and instability intensity,with the highest BI value of 0.697,along with η=0.774 and μ=0.611.This study provides deeper insight into the understanding of the disaster-inducing proneness and stability assessment in jointed rock mass.
摘要Glaucoma and secondary glaucoma are two late-onset and progressive optic neuropathies characterized by progressive optic nerve damage resulting from the loss of retinal ganglion cells(RGCs)and their axons which ultimately manifest as visual field defects.Intraocular pressure(IOP)elevation due to impeded aqueous humor(AH)outflow is found frequently associated with glaucoma,and IOP lowering is usually concomitant with preservation or retention of visual function.Current limitations in glaucoma diagnosis and therapy include a lack of diagnostic and/or susceptibility biomarkers,as well as heterogeneity in the rate of disease progression and treatment efficacy between patients.Rapid analytical advancements in different omics(genome,transcriptome,proteome,lipidome,and metabolome)have provided new avenues to identify biomarkers and drug therapy targets.However,limitations in single-omics studies—such as variance in preparation and analysis methods,incomplete databases used for annotation of molecular components,and limited clinical translatability due to the use of animal models—necessitate multi-omic integration for mutual validation and expansion upon existing knowledge.Our review outlines advancements in glaucoma through different omic studies,demonstrates omics integration using AH datasets of control and glaucoma patients,and discusses current obstacles in multi-omic integration such as standardization across systems and omes and inherent limitations in knowledge-and data-driven approaches to network building.Ultimately,we propose that multi-omics may help expand our understanding of pathological mechanisms in all forms of glaucoma and other late-onset progressive neurodegenerative diseases,advancing discoveries for better interventions.
基金funded by Qinghai University Postgraduate Research and Practice Innovation Program of Funder,grant number 2025-GMKY-42.
摘要Recent advances in deep learning have significantly improved image deblurring;however,existing approaches still suffer from limited global context modeling,inadequate detail restoration,and poor texture or edge perception,especially under complex dynamic blur.To address these challenges,we propose the Multi-Resolution Fusion Network(MRFNet),a blind multi-scale deblurring framework that integrates progressive residual connectivity for hierarchical feature fusion.The network employs a three-stage design:(1)TransformerBlocks capture long-range dependencies and reconstruct coarse global structures;(2)Nonlinear Activation Free Blocks(NAFBlocks)enhance local detail representation and mid-level feature fusion;and(3)an optimized residual subnetwork based on gated feature modulation refines texture and edge details for high-fidelity restoration.Extensive experiments demonstrate that MRFNet achieves superior performance compared to state-of-the-art methods.On GoPro,it attains 32.52 dB Peak Signal-to-Noise Ratio(PSNR)and 0.071 Learned Perceptual Image Patch Similarity(LPIPS),outperforming MIMOWNet(32.50 dB,0.075).On HIDE,it achieves 30.25 dB PSNR and 0.945 Structural Similarity Index Measure(SSIM),representing gains of+0.26 dB and+0.015 SSIM over MIMO-UNet(29.99 dB,0.930).On RealBlur-J,it reaches 28.82 dB PSNR and 0.872 SSIM,surpassing MIMO-UNet by+1.19 dB and+0.035 SSIM(27.63 dB,0.837).These results validate the effectiveness of the proposed progressive residual fusion and hybrid attention mechanisms in balancing global context understanding and local detail recovery for blind image deblurring.
基金supported in part by the National Natural Science Foundation of China(No.52105027)the Fundamental Research Funds for Central Universities,China(No.300102225104).
摘要Failure of an aircraft Drag Chute Lock Mechanism(DCLM)can prevent the drag chute from being thrown properly,which may threaten the safety of aircraft and crew.The DCLM is affected by Multiple Progressive Damage(MPD)factors during operation,and its global sensitivity analysis introduces many parameters that substantially increase the computational cost.This paper proposes a global sensitivity analysis method based on partial derivatives to solve the above problems,which reduces the dimensionality of the parameters to decrease the computational cost and improve the efficiency of global sensitivity analysis.Based on the operating principle of DCLM,it is analyzed for MPD factors,including wear,impact and creep.A reliability model considering MPD factors is developed for the DCLM,which is analyzed using a global sensitivity calculation method that is based on partial derivatives,and optimization suggestions for improving reliability are given for important input parameters.The results of the numerical study show that the proposed partial-derivative-based global sensitivity analysis method improves the efficiency of sensitivity analysis under consideration of the MPD and increases the reliability of the mechanism through parameter optimization.
基金supported by the National Natural Science Foundation of China(Grant no.41874173).
摘要Fine-scale structures can be observed in small field-of-view(FOV)auroral observations,but they are often overlooked because they appear only sporadically in all-sky observations.Such forms are of great interest because they may embody specific magnetosphere-ionosphere coupling processes,reveal localized energy deposition pathways,and provide new insights into cross-scale plasma dynamics and instabilities.However,their limited spatial extent,transient occurrence,and scarcity in wide-FOV observations make systematic investigation challenging.Traditional manual analysis struggles to capture these subtle structures within vast all-sky datasets,while automated detection faces severe data imbalance and morphological ambiguity.To address these challenges,we propose a synthetic-to-real progressive learning framework for cross-FOV retrieval of rare auroral forms.A Generative Adversarial Network(GAN)is employed to perform cross-FOV transformation between unpaired small-FOV images containing rare aurora forms and all-sky images(ASI)without such structures,thereby generating large numbers of synthetic ASI with rare auroral morphology.These synthetic samples are used to train an initial detection model,which subsequently undergoes iterative fine-tuning through feedback-guided learning:The model performs inference on new all-sky data,and the progressively accumulated real detections are incorporated into the training set.Experimental results demonstrate that the proposed method achieves over 92%detection accuracy on ASI,enabling high-precision retrieval of small-scale auroral structures across large-scale observations.This framework provides a scalable and effective approach to rediscovering rare auroral phenomena in continuous all-sky monitoring,offering new opportunities for exploring the fine-scale dynamics of the upper atmosphere.
基金supported by the National Natural Science Foundation of China(Grant Nos.22379029,U24A20569,52271204)the GuangDong Basic and Applied Basic Research Foundation(2024B1515020003)the Guangzhou Science and Technology Plan project(2025A04J7020).
摘要The instantaneous nucleation of Sn originating from the uncontrolled diffusion of Sn2+ions typically forms large,electrochemically inactive“dead Sn”that severely constraints the plating/stripping reversibility of Sn anode for acidic aqueous batteries.Herein,nanoscale spatial confinement of Sn2+ions is realized in SnSO4 electrolyte by strategically dictating spontaneous assembly of nanomicelles with amphipathic sulfolane.The as-constructed locally heterogeneous environment ensures the sustainable release of Sn2+ions,which reprograms the nucleation manner from instantaneous to progressive modes.The consequent progressive formation of Sn nuclei triggers size refinement of electrodeposited Sn,thereby alleviating the“dead Sn”issue.Meanwhile,the reaction competitivity of Sn2+reduction over hydrogen evolution side reaction is effectively strengthened as the consecutive hydrogen bonding network among bulk water is disrupted by the micellar structure.Consequently,Sn anode exerts an unprecedently high average Coulombic efficiency of 99.97%and witnesses a prominent life span extension from 710 to 8400 h(~11-fold enhancement).In a dual-plating configuration,the Sn||Mn full battery delivers a 1.6 V discharge plateau and sustains 790 cycles,demonstrating practical feasibility.Our findings underscore the decisive role of the very initial nucleation behavior in regulating metal electrochemistry,applicable to other multivalent anodes.
基金supported in part by the State Key Laboratory of Resources and Environmental Information Systemin part by the National Natural Science Foundation of China(No. 62501052).
摘要In light of the limitations of single-source remote sensing data for accurate Earth observation,integrating hyperspectral image(HSI)and synthetic aperture radar(SAR)data has been shown to be meaningful for land-cover classification task.Nevertheless,owing to the substantial disparities in imaging mechanisms and data attributes across different sources,existing classification methods still encounter certain challenges in adaptability and collaboration for frequency feature extraction and heterogeneous information fusion.As such,a new progressive frequency-division network is presented for joint classification of HSI and SAR data.Firstly,a progressive frequency decomposition module is designed to fully explore high-and low-frequency information of multisource remote sensing data,and minimize redundant information,thus achieving complementary and discriminative fusion feature extraction.After that,with an effective bidirectional propagation mechanism,a multiscale interaction module is further built to collaborate local and global information and explore more discriminative multiscale representations,thereby more accurately representing and classifying complex land covers.Experimental results for two public datasets containing HSI and SAR data reveal that the proposed model outperforms other competitors.
基金Shanghai School Moral Education Innovation and Development Research Project,Research and Practice on the Integration Mechanism of Counselor Capacity Building and Ideological and Political Education under the Background of Cross-Cultural Education(No.2025-dycx-209)。
摘要In the context of Sino-foreign cooperative education programs,college students’career development exhibits cross-cultural characteristics,multiple pathways,and high uncertainty.The traditional guidance model,focused primarily on employment services at graduation stages,can no longer meet the comprehensive educational needs throughout the entire learning process.This study investigates the construction,implementation,and optimization of a phased progressive career development guidance system.Centered on the four-year undergraduate growth trajectory,it establishes a step-by-step guidance framework encompassing“career awareness awakening,pathway diversification,competency accumulation,and decision implementation.”Leveraging career development profiling and artificial intelligence technologies,the system utilizes concentrated practical training in senior years as a critical implementation domain to achieve job matching,risk prediction,and decision support.The study suggests that this system enhances the continuity,precision,and effectiveness of career guidance,facilitating the transition of career development support for international students from end-stage services to holistic educational cultivation throughout their academic journey.
基金supported and funded by the Deanship of Scientifc Research at ImamMohammad Ibn Saud Islamic University(IMSIU)(grant number IMSIU-DDRSP2503).
摘要Accelerated life tests play a vital role in reliability analysis,especially as advanced technologies lead to the production of highly reliable products to meet market demands and competition.Among these tests,progressive-stress accelerated life tests(PSALT)allow for continuous changes in applied stress.Additionally,the generalized progressive hybrid censoring(GPHC)scheme has attracted significant attention in reliability and survival analysis,particularly for handling censored data in accelerated testing.It has been applied to various failure models,including competing risks and step-stress models.However,despite its growing relevance,a notable gap remains in the literature regarding the application of GPHC in PSALT models.This paper addresses that gap by studying PSALT under a GPHC scheme with binomial removal.Specifically,it considers lifetimes following the quasi-Xgamma distribution.Model parameters are estimated using both maximum likelihood and Bayesian methods under gamma priors.Interval estimation is provided through approximate confidence intervals,bootstrap methods,and Bayesian credible intervals.Bayesian estimators are derived under squared error and entropy loss functions,using informative priors in simulation and non-informative priors in real data applications.A simulation study is conducted to evaluate various censoring schemes,with coverage probabilities and interval widths assessed via Monte Carlo simulations.Additionally,Bayesian predictive estimates and intervals are presented.The proposed methodology is illustrated through the analysis of two real-world accelerated life test datasets.
基金Natural Science Foundation of Heilongjiang Province(YQ2022C014)National Natural Science Foundation of China(32302768).
摘要Background Progressive oxidative stress easily occurs as a result of a gradual increase in the intensity of maternal metabolism due to rapid foetal development and increased intensity of lactation.However,studies on the effects of processive oxidative stress on nutrient transport in the placenta have received little attention.The present study was conducted on sows at 85 days of gestation to study the effects of pterostilbene(PTE)on maternal oxidative stress status and placental nutrient transport.Results PTE increased the antioxidant capacity and immunoglobulin content in mothers’blood and milk,reduced the level of inflammatory factors,and improved the nutrient content of milk.PTE also reduced sow backfat loss and the number of weak sons,and increased piglet weaning weight and total weaning litter weight.We subsequently found that PTE enhanced placental glucose and fatty acid transport and further affected glycolipid metabolism by increasing the expression of LAL,PYGM,and Gbe-1,which activated the PI3K phosphorylation pathway.Moreover,PTE addition altered the relative abundance of the Firmicutes,Proteobacteria,Parabacillus,and Bacteroidetes-like RF16 groups in sow faeces.PTE increased the levels of acetate,propionate,butyrate and isovalerate in the faeces.Conclusions These findings reveal that the addition of PTE during pregnancy and lactation mitigates the effects of processive oxidative stress on offspring development by altering maternal microbial and placental nutrient trans-port capacity.
基金supported by the National Key R&D Program of China(No.2017YFB0304402)。
摘要The microstructural evolution of a cold-rolled and intercritical annealed medium-Mn steel(Fe-0.10C-5Mn)was investigated during uniaxial tensile testing.In-situ observations under scanning electron microscopy,transmission electron microscopy,and X-ray diffraction analysis were conducted to characterize the progressive transformation-induced plasticity process and associated fracture initiation mechanisms.These findings were discussed with the local strain measurements via digital image correlation.The results indicated that Lüders band formation in the steel was limited to 1.5%strain,which was mainly due to the early-stage martensitic phase transformation of a very small amount of the less stable large-sized retained austenite(RA),which led to localized stress concentrations and strain hardening and further retardation of yielding.The small-sized RA exhibited high stability and progressively transformed into martensite and contributed to a stably extended Portevin-Le Chatelier effect.The volume fraction of RA gradually decreased from 26.8%to 8.2%prior to fracture.In the late deformation stage,fracture initiation primarily occurred at the austenite/martensite and ferrite/martensite interfaces and the ferrite phase.
基金supported by the National Natural Science Foundation of China(Grant Nos.11972283 and 42277182).
摘要High-altitude cold regions exhibit complex geological and environmental conditions,fostering steep rock slopes with macroscopic joints and mesoscopic freeze-thaw(F-T)damage.Cyclic loading further exacerbates rock instability,yet the fracture mechanisms and load response relationships remain poorly understood.This study prepared intact and fractured sandstone specimens,subjected them to F-T cycles and graded loading-unloading,and monitored their structural evolution via X-ray computed tomography.First,the progressive failure process was investigated from both qualitative morphologic features and quantitative void parameters.The results showed that intact and fractured sandstone instability behaviors are determined by F-T damage and joint arrangement,respectively.However,both indicate that precursory localization of failure can only be detected when heterogeneous damage exists in advance.Furthermore,the void parameters of undamaged intact sandstone exhibit power-law acceleration,while damaged sandstones are characterized by a trend of initial decrease followed by an increase.Subsequently,a damage constitutive model for freeze-thawed fractured sandstone under graded loading-unloading was established.This model is based on the Lemaitre strain equivalence hypothesis and defines the coupled damage variable through multivariable indicators.In this framework,the material damage induced by fractures and F-T is unified and characterized by void parameters;while the load-induced damage is integrated with the energy linear allocation law and defined by damage energy.Thus,the stress-strain theoretical relationship is depicted,and the model is validated as reliable.Finally,a conceptual model of rock damage due to F-T and loading-unloading was proposed by combining the microscopic testing results from X-ray diffraction and scanning electron microscopy.
基金supported by National Natural Science Foundation of China(No.81973713)。
摘要patients with PPF.TCM treatments are typically diverse and individualized,requiring urgent development of efficient and precise design strategies to identify effective treatment options.We designed an innovative Bayesian adaptive two-stage trial,hoping to provide new ideas for the rapid evaluation of the effectiveness of TCM in PPF.An open-label,two-stage,adaptive Bayesian randomized controlled trial will be conducted in China.Based on Bayesian methods,the trial will employ response-adaptive randomization to allocate patients to study groups based on data collected over the course of the trial.The adaptive Bayesian trial design will employ a Bayesian hierarchical model with“stopping”and“continuation”criteria once a predetermined posterior probability of superiority or futility and a decision threshold are reached.The trial can be implemented more efficiently by sharing the master protocol and organizational management mechanisms of the sub-trial we have implemented.The primary patient-reported outcome is a change in the Leicester Cough Questionnaire score,reflecting an improvement in cough-specific quality of life.The adaptive Bayesian trial design may be a promising method to facilitate the rapid clinical evaluation of TCM effectiveness for PPF,and will provide an example for how to evaluate TCM effectiveness in rare and refractory diseases.However,due to the complexity of the trial implementation,sufficient simulation analysis by professional statistical analysts is required to construct a Bayesian response-adaptive randomization procedure for timely response.Moreover,detailed standard operating procedures need to be developed to ensure the feasibility of the trial implementation.
基金supported in part by Youth Innovation Promotion Association,Chinese Academy of Sciences under Grant 2022022in part by South China Sea Nova project of Hainan Province under Grant NHXXRCXM202340in part by the Scientific Research Foundation Project of Hainan Acoustics Laboratory under grant ZKNZ2024001.
摘要Underwater target detection in forward-looking sonar(FLS)images is a challenging but promising endeavor.The existing neural-based methods yield notable progress but there remains room for improvement due to overlooking the unique characteristics of underwater environments.Considering the problems of low imaging resolution,complex background environment,and large changes in target imaging of underwater sonar images,this paper specifically designs a sonar images target detection Network based on Progressive sensitivity capture,named ProNet.It progressively captures the sensitive regions in the current image where potential effective targets may exist.Guided by this basic idea,the primary technical innovation of this paper is the introduction of a foundational module structure for constructing a sonar target detection backbone network.This structure employs a multi-subspace mixed convolution module that initially maps sonar images into different subspaces and extracts local contextual features using varying convolutional receptive fields within these heterogeneous subspaces.Subsequently,a Scale-aware aggregation module effectively aggregates the heterogeneous features extracted from different subspaces.Finally,the multi-scale attention structure further enhances the relational perception of the aggregated features.We evaluated ProNet on three FLS datasets of varying scenes,and experimental results indicate that ProNet outperforms the current state-of-the-art sonar image and general target detectors.