Excessive blasting-induced vibration during drilling-and-blasting excavation of deep tunnels can trigger geological hazards and compromise the stability of both the rock mass and support structures.This study focused ...Excessive blasting-induced vibration during drilling-and-blasting excavation of deep tunnels can trigger geological hazards and compromise the stability of both the rock mass and support structures.This study focused on the deep double-line Sejila Mountain tunnel to systematically analyze the spatial response of blasting-induced vibration and to develop a prediction model through field tests and numerical simulations.The results revealed that the presence of a cross passage significantly altered propagation paths and the spatial distribution of blasting-induced vibration velocity.The peak particle velocity(PPV)at the cross-passage corner was amplified by approximately 1.92 times due to wave reflection and geometric focusing.Blasting-induced vibration waves attenuated non-uniformly across the tunnel cross-section,where PPV on the blast-face side was 1.54–6.56 times higher than that on the opposite side.We propose an improved PPV attenuation model that accounts for the propagation path effect.This model significantly improved fitting accuracy and resolved anomalous parameter(k and a)estimates in traditional equations,thereby improving prediction reliability.Furthermore,based on the observed spatial distribution of blasting-induced vibration,optimal monitoring point placement and targeted vibration control measures for tunnel blasting were discussed.These findings provide a scientific basis for designing blasting schemes and vibration mitigation strategies in deep tunnels.展开更多
Deep rock engineering is affected by coupled thermo-hydro-mechanical(THM)-dynamic fields,necessitating the elucidation of the dynamic mechanical behavior and failure mechanisms.This study utilized a Multi-field Couple...Deep rock engineering is affected by coupled thermo-hydro-mechanical(THM)-dynamic fields,necessitating the elucidation of the dynamic mechanical behavior and failure mechanisms.This study utilized a Multi-field Coupled Controlled Split Hopkinson Pressure Bar(MCC-SHPB)system to elucidate the cross-scale dynamic responses of rocks and the boundaries of failure modes under THM coupling.Impact tests were conducted on green sandstone under coupled conditions of temperature(25℃-80℃),confining pressure(0-15 MPa),and seepage water pressure(0-15 MPa).Scanning electron microscopy(SEM)microstructural characterization and COMSOL Multiphysics numerical simulations were conducted,and a dynamic constitutive theoretical framework and failure-prediction methodology were established.We investigated the impact toughness index(I_(t)),dynamic modulus(E_(d)),dynamic triaxial compressive strength(TCS_(d)),fragmentation degree(W),and failure modes of green sandstone under thermo-confining pressure-seepage-impact loading conditions.The key findings reveal that the(I_(t))reflects different energy regulation mechanisms across different confining pressure regimes.Thermal-microcrack interactions dominate at low pressure,and energy absorption prevails at high pressure.A triphasic dynamic modulus model captures stiffness evolution under energy-driven conditions,revealing cross-scale crack nucleation-propagation and fragment reorganization.The TCSd inflection point signifies energy dissipation shifts,causing nonlinear skeleton bearing-capacity degradation.A critical criterion based on the W was established to distinguish between the two failure modes and predict the unstable failure initiation.Numerical simulations were used to elucidate the effects of inertia-dominated crack propagation and stress wave interference,validating the critical criterion and the predictive accuracy of the theoretical model during cross-scale failure.This study provides a theoretical foundation for assessing the dynamic stability of rock masses subjected to multi-field coupling during deep resource exploitation.展开更多
Sporadic E(Es)layers in the ionosphere are characterized by intense plasma irregularities in the E region at altitudes of 90-130 km.Because they can significantly influence radio communications and navigation systems,...Sporadic E(Es)layers in the ionosphere are characterized by intense plasma irregularities in the E region at altitudes of 90-130 km.Because they can significantly influence radio communications and navigation systems,accurate forecasting of Es layers is crucial for ensuring the precision and dependability of navigation satellite systems.In this study,we present Es predictions made by an empirical model and by a deep learning model,and analyze their differences comprehensively by comparing the model predictions to satellite RO measurements and ground-based ionosonde observations.The deep learning model exhibited significantly better performance,as indicated by its high coefficient of correlation(r=0.87)with RO observations and predictions,than did the empirical model(r=0.53).This study highlights the importance of integrating artificial intelligence technology into ionosphere modelling generally,and into predicting Es layer occurrences and characteristics,in particular.展开更多
BACKGROUND Patients harboring gene mutations like KRAS,NRAS,and BRAF demonstrate highly variable responses to chemotherapy,posing challenges for treatment optimization.Multiparametric magnetic resonance imaging(MRI),w...BACKGROUND Patients harboring gene mutations like KRAS,NRAS,and BRAF demonstrate highly variable responses to chemotherapy,posing challenges for treatment optimization.Multiparametric magnetic resonance imaging(MRI),with its noninvasive capability to assess tumor characteristics in detail,has shown promise in evaluating treatment response and predicting therapeutic outcomes.This technology holds potential for guiding personalized treatment strategies tailored to individual patient profiles,enhancing the precision and effectiveness of colorectal cancer care.AIM To create a multiparametric MRI-based predictive model for assessing chemotherapy efficacy in colorectal cancer patients with gene mutations.METHODS This retrospective study was conducted in a tertiary hospital,analyzing 157 colorectal cancer patients with gene mutations treated between August 2022 and December 2023.Based on chemotherapy outcomes,the patients were categorized into favorable(n=60)and unfavorable(n=50)response groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of chemotherapy efficacy.A predictive nomogram was constructed using significant variables,and its performance was assessed using the area under the receiver operating characteristic curve(AUC)in both training and validation sets.RESULTS Univariate analysis identified that tumor differentiation,T2 signal intensity ratio,tumor-to-anal margin distance,and MRI-detected lymph node metastasis as significantly associated with chemotherapy response(P<0.05).Multivariate Logistics regression confirmed these four parameters as independent predictors.The predictive model demonstrated strong discrimination,with an AUC of 0.938(sensitivity:86%;specificity:92%)in the training set,and 0.942(sensitivity:100%;specificity:83%)in the validation set.CONCLUSION We established and validated a multiparametric MRI-based model for predicting chemotherapy response in colorectal cancer patients with gene mutations.This model holds promise for guiding individualized treatment strategies.展开更多
Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models...Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models often have accurate results at the expense of high computational complexity.To address this problem,this paper uses the Tree-structured Parzen Estimator(TPE)to tune the hyperparameters of the Long Short-term Memory(LSTM)deep learning framework.The Tree-structured Parzen Estimator(TPE)uses a probabilistic approach with an adaptive searching mechanism by classifying the objective function values into good and bad samples.This ensures fast convergence in tuning the hyperparameter values in the deep learning model for performing prediction while still maintaining a certain degree of accuracy.It also overcomes the problem of converging to local optima and avoids timeconsuming random search and,therefore,avoids high computational complexity in prediction accuracy.The proposed scheme first performs data smoothing and normalization on the input data,which is then fed to the input of the TPE for tuning the hyperparameters.The traffic data is then input to the LSTM model with tuned parameters to perform the traffic prediction.The three optimizers:Adaptive Moment Estimation(Adam),Root Mean Square Propagation(RMSProp),and Stochastic Gradient Descend with Momentum(SGDM)are also evaluated for accuracy prediction and the best optimizer is then chosen for final traffic prediction in TPE-LSTM model.Simulation results verify the effectiveness of the proposed model in terms of accuracy of prediction over the benchmark schemes.展开更多
Structural damage detection is hard to conduct in large-scale civil structures due to enormous structural data and insufficient damage features.To improve this situation,a damage detection method based on model reduct...Structural damage detection is hard to conduct in large-scale civil structures due to enormous structural data and insufficient damage features.To improve this situation,a damage detection method based on model reduction and response reconstruction is presented.Based on the framework of two-step model updating including substructure-level localization and element-level detection,the response reconstruction strategy with an improved sensitivity algorithm is presented to conveniently complement modal information and promote the reliability of model updating.In the iteration process,the reconstructed response is involved in the sensitivity algorithm as a reconstruction-related item.Besides,model reduction is applied to reduce computational degrees of freedom(DOFs)in each detection step.A numerical truss bridge is modelled to vindicate the effectiveness and efficiency of the method.The results showed that the presented method reduces the requirement for installed sensors while improving efficiency and ensuring accuracy of damage detection compared to traditional methods.展开更多
Background:It is well recognized that developing new animal models,refining the existing mouse models,and thoroughly characterizing their features are essential for gaining a deeper understanding of rosacea pathogenes...Background:It is well recognized that developing new animal models,refining the existing mouse models,and thoroughly characterizing their features are essential for gaining a deeper understanding of rosacea pathogenesis and for advancing therapeutic strategies in this direction.Accordingly,we aimed to characterize the pathological features of a long-term LL-37-induced mouse model of rosacea and to compare the disease manifestations and pathophysiological characteristics between short-term and long-term LL-37-induced models.A key focus was to investigate differential gene expression and the underlying mechanisms of immune system dysregulation in these models.Methods:We comparatively assessed skin lesion manifestations,the extent of inflammatory infiltration,sebaceous gland alterations,fibrosis,and angiogenesis in both models.Assessments were performed using photographic documentation,hematoxylin-eosin(HE)staining,Van Gieson's(VG)staining,immunohistochemistry,and Western blotting.Furthermore,we employed RNA sequencing to analyze differential gene expression in mouse skin.The RNA sequencing data were validated using immunofluorescence staining and Western blotting,with a specific focus on gene variations and mechanisms related to immune system dysregulation.Results:Mice subjected to long-term LL-37 induction developed rosacea-like pathological features,including angiogenesis,thickened skin tissue,and sebaceous gland hypertrophy.In the short-term LL-37-induced model,immune dysregulation primarily involved the innate immune response.However,long-term LL-37 induction resulted in significant activation of both innate and adaptive immune responses.Conclusion:The long-term LL-37-induced mouse model offers a valuable animal model for the detailed investigation of the pathological mechanisms driving moderate-to-severe rosacea with prolonged disease duration.Importantly,this model provides a significant experimental foundation for exploring the potential role of immune system dysregulation in rosacea pathogenesis.展开更多
Background:The efficacy of balloon angioplasty for treating peripheral artery disease is influenced by various factors,some of them not yet totally understood.This study aimed to evaluate the role of elastin content i...Background:The efficacy of balloon angioplasty for treating peripheral artery disease is influenced by various factors,some of them not yet totally understood.This study aimed to evaluate the role of elastin content in vascular responses 28 days postangioplasty using uncoated and paclitaxel-coated balloons with the same platform in femoral arteries of a healthy porcine model.Methods:Eight animals underwent balloon angioplasty on the external and internal branches of femoral arteries.Histopathologic evaluation was conducted at follow-up to assess the elastin content,vascular damage,morphological features,and neointimal formation.Results:The elastin content was significantly higher in the external than in the internal femoral artery(p=0.0014).After balloon angioplasty,it was inversely correlated with vascular injury score(ρ=−0.4510,p=0.0096),neointimal inflammation(ρ=−0.3352,p=0.0607),transmural(ρ=−0.4474,p=0.0103)and circumferential(ρ=−0.4591,p=0.0082)smooth muscle cell loss,presence of proteoglycans(ρ=−0.5172,p=0.0024),fibrin deposition(ρ=−0.3496,p=0.0499),and adventitial fibrosis(ρ=−0.6229,p=0.0002).Neointimal formation inhibition with paclitaxel was evident only in arteries with disruption of the internal elastic lamina,with a significant smaller neointimal area in arteries treated with paclitaxel-coated balloons compared to uncoated balloons(median[Q1–Q3]:10.25[7.49–15.64]vs.24.44[18.96–30.52],p=0.0434).Conclusions:Elastin content varies between branches of the femoral artery and significantly influences the integrity of the internal elastic lamina,the vessel's adaptive response,and paclitaxel efficacy after balloon angioplasty.展开更多
Background and aim Recently,long-term outcomes in patients with spontaneous intracerebral haemorrhage(sICH)have gained increasing attention besides acute-phase characteristics.Predictive models for long-term outcomes ...Background and aim Recently,long-term outcomes in patients with spontaneous intracerebral haemorrhage(sICH)have gained increasing attention besides acute-phase characteristics.Predictive models for long-term outcomes are valuable for risk stratification and treatment strategies.This study aimed to develop and validate an explainable model for predicting long-term recurrence and all-cause death in patients with ICH,using clinical and imaging markers of cerebral small vascular diseases from MRI.Method We retrospectively analysed data from a prospectively collected large-scale cohort of patients with acute ICH admitted to the Neurology Department of The Second Affiliated Hospital of Zhejiang University between November 2016 and April 2023.After comprehensive variable selection using least absolute shrinkage and selection operator and stepwise Cox regression,we constructed Cox proportional hazards models to predict recurrence and all-cause death.Model performance was evaluated using the concordance index,integrated Brier score and time-dependent area under the curve.Global and local interpretability were assessed using variable importance calculated as SurvSHAP(t)and SurvLIME methods for the entire training set and individual patients,respectively.Results A total of 842 eligible patients were included.Over a median follow-up of 36 months(IQR:12-51),86 patients(9.1%)died,and 62 patients(6.6%)experienced recurrence of ICH.The concordance indexes for the all-cause death and recurrence models were 0.841(95%CI 0.767 to 0.913)and 0.759(95%CI 0.651 to 0.867),respectively,with integrated Brier scores of 0.079 and 0.063.The interpretability maps highlighted age,aetiology of ICH and low haemoglobin as key predictors of long-term death,while cortical superficial siderosis and previous haemorrhage were crucial for predicting recurrence.Conclusions This model demonstrates high predictive accuracy and emphasises the crucial factors in predicting long-term outcomes of patients with sICH.展开更多
This study decouples the material microstructure into matrix and void phases.The undamaged constitutive is derived from the matrix phase,while the void phase contributes to damage evolution.A constitutive model is est...This study decouples the material microstructure into matrix and void phases.The undamaged constitutive is derived from the matrix phase,while the void phase contributes to damage evolution.A constitutive model is established by coupling the two.According to the void-phase evolution during damage,a damage sequence interaction model is proposed.Tests on new vehicles and vehicles in service materials yield stress-strain curves of materials without and with fatigue damage and measure the apparent elastic modulus.The damage sequence interaction model accurately predicts the residual mechanical properties of undamaged materials.A trolley collision test validates the constitutive model.Collision simulations at 25,36,and 48 km/h reveal that compared with undamaged models,the maximum vertical lift heights of moving vehicles with fatigue damage are 4.54%,3.74%,and 9.17%lower,respectively,and the maximum longitudinal compressions of stationary vehicles are 4.76%,14.53%,and 33.15%higher respectively.This research emphasizes the importance of considering fatigue damage in vehicle design and maintenance.The damage sequence interaction model has high engineering application value,applicable to vehicle safety checks and design,and provides a reference for improving relevant standards.展开更多
Sand-bentonite(SB)cutoff walls are commonly used as barriers in polluted areas.The embedded part of an SB wall in an aquitard is crucial for its performance.In this study,a centrifuge modeling test was carried out to ...Sand-bentonite(SB)cutoff walls are commonly used as barriers in polluted areas.The embedded part of an SB wall in an aquitard is crucial for its performance.In this study,a centrifuge modeling test was carried out to investigate the effect of contact between the key and the aquitard on the migration behavior of contaminants within an SB cutoff wall.The centrifuge was accelerated to 100g(gravitational acceleration)and maintained in-flight for 36 h,equivalent to 41 years of transport time in the prototype.Results showed that the contaminant concentration within the SB wall was higher downstream than in the middle in the thickness direction,and deeper regions exhibited a greater concentration than shallower ones.This concentration distribution indicated that contaminants were transported along the interface between the SB wall and the aquitard,bypassing the base of the SB wall to reach the downstream aquifer rapidly.An improved numerical simulation considering preferential interface migration was performed,which agreed with the centrifuge test results.The simulation results indicated that preferential interface migration,as a defect,significantly accelerated the speed of contaminant migration,reducing the breakthrough time of the SB wall to 1/9 of that without preferential interface migration.展开更多
Background:Dengue fever,an acute insect-borne infectious disease caused by the dengue virus(DENV),poses a great challenge to global public health.Hepatic involve-ment is the most common complication of severe dengue a...Background:Dengue fever,an acute insect-borne infectious disease caused by the dengue virus(DENV),poses a great challenge to global public health.Hepatic involve-ment is the most common complication of severe dengue and is closely related to the occurrence and development of disease.However,the features of adaptive immune responses associated with liver injury in severe dengue are not clear.Methods:We used single-cell sequencing to examine the liver tissues of mild or se-vere dengue mice model to analyze the changes in immune response of T cells in the liver after dengue virus infection,and the immune interaction between macrophages and T cells.Flow cytometry was used to detect T cells and macrophages in mouse liver and blood to verify the single-cell sequencing results.Results:Our result showed CTLs were significantly activated in the severe liver injury group but the immune function-related signal pathway was down-regulated.The rea-son may be that the excessive immune response in the severe group at the late stage of DENV infection induces the polarization of macrophages into M2 type,and the macrophages then inhibit T cell immunity through the TGF-βsignaling pathway.In ad-dition,the increased proportion of Treg cells suggested that Th17/Treg homeostasis was disrupted in the livers of severe liver injury mice.Conclusions:In this study,single-cell sequencing and flow cytometry revealed the characteristic changes of T cell immune response and the role of macrophages in the liver of severe dengue fever mice.Our study provides a better understanding of the pathogenesis of liver injury in dengue fever patients.展开更多
Background:SARS-CoV-2,first identified in late 2019,has given rise to numerous variants of concern(VOCs),posing a significant threat to human health.The emer-gence of Omicron BA.1.1 towards the end of 2021 led to a pa...Background:SARS-CoV-2,first identified in late 2019,has given rise to numerous variants of concern(VOCs),posing a significant threat to human health.The emer-gence of Omicron BA.1.1 towards the end of 2021 led to a pandemic in early 2022.At present,the lethal mouse model for the study of SARS-CoV-2 needs supplementation,and the alterations in neutrophils and monocytes caused by different strains remain to be elucidated.Methods:Human ACE2 transgenic mice were inoculated with the SARS-CoV-2 proto-type and Omicron BA.1,respectively.The pathogenicity of the two strains was evalu-ated by observing clinical symptoms,viral load and pathology.Complete blood count,immunohistochemistry and flow cytometry were performed to detect the alterations of neutrophils and monocytes caused by the two strains.Results:Our findings revealed that Omicron BA.1 exhibited significantly lower vir-ulence compared to the SARS-CoV-2 prototype in the mouse model.Additionally,we observed a significant increase in the proportion of neutrophils late in infection with the SARS-CoV-2 prototype and Omicron BA.1.We found that the proportion of monocytes increased at first and then decreased.The trends in the changes in the proportions of neutrophils and monocytes induced by the two strains were similar.Conclusion:Our study provides valuable insights into the utility of mouse models for simulating the severe disease of SARS-CoV-2 prototype infection and the milder manifestation associated with Omicron BA.1.SARS-CoV-2 prototype and Omicron BA.1 resulted in similar trends in the changes in neutrophils and monocytes.展开更多
This paper examines an epidemic predator-prey model with prey dispersal and Holling type-II functional response. In this model, it is assumed that the predator population suffers a transmissible disease. By analyzing ...This paper examines an epidemic predator-prey model with prey dispersal and Holling type-II functional response. In this model, it is assumed that the predator population suffers a transmissible disease. By analyzing the corresponding characteristic equations, the local stability of each of feasible equilibria and the existence of Hopf bifurcations at the coexistence equilibrium is addressed. Using Lyapunov functionals and LaSalle's invariance principle, we obtained the sufficient conditions for the global stability of the trivial equilibrium, the predator-extinction equilibrium, the disease-free equilibrium and the coexistence equilibrium, respectively. The paper also includes numerical simulations to illustrate the analytical results.展开更多
Urban spaces are becoming increasingly congested,and excavations are frequently performed close to existing underground structures such as tunnels.Understanding the mechanical response of proximal soil and tunnels to ...Urban spaces are becoming increasingly congested,and excavations are frequently performed close to existing underground structures such as tunnels.Understanding the mechanical response of proximal soil and tunnels to these excavations is important for efficient and safe underground construction.However,previous investigations of this issue have predominantly made assumptions of plane-strain conditions and normal gravity states,and focused on the performance of tunnels affected by excavation and unloading in sandy strata.In this study,a 3D centrifuge model test is conducted to investigate the influence of excavation on an adjacent existing tunnel in normally consolidated clay.The testing results indicate that the excavation has a significant impact on the horizontal deformation of the retaining wall and tunnel.Moreover,the settlements of the ground surface and the tunnel are mainly affected by the long-term period after excavation.The excavation is found to induce ground movement towards the pit,resulting in prolonged fluctuations in pore water pressure and lateral earth pressure.The testing results are compared with numerical simulations,achieving consistency.A numerical parametric study on the tunnel location shows that when the tunnel is closer to the retaining wall,the decreases in lateral earth pressure and pore water pressure during excavation are more pronounced.展开更多
Objective:Radiotherapy(RT)is the definitive treatment for stageⅡnasopharyngeal carcinoma(NPC),which is classified as stagesⅠA andⅠB in the latest ninth edition of American Joint Committee on Cancer(AJCC)/Union for ...Objective:Radiotherapy(RT)is the definitive treatment for stageⅡnasopharyngeal carcinoma(NPC),which is classified as stagesⅠA andⅠB in the latest ninth edition of American Joint Committee on Cancer(AJCC)/Union for International Cancer Control(UICC).A crucial question is whether concurrent chemo-radiotherapy(CCRT)could derive additional benefits to this recent“down-staging”subgroup of NPC patients.This study aimed to interrogate clinical and radiomic features for predicting 5-year progression-free survival(PFS)of stageⅡNPC treated with RT alone or CCRT.Methods:Imaging and clinical data of 166 stageⅡNPC(eighth edition AJCC/UICC)patients were collected.Data were allocated into training,internal testing,and external testing sets.For each case,851 radiomic features were extracted and 10 clinical features were collected.Radiomic and clinical features most associated with the 5-year PFS were selected separately.A combined model was developed using multivariate logistic regression by integrating selected features and treatment option to predict 5-year PFS.Model performances were evaluated by area under the receiver operating curve(AUC),prediction accuracy,and decision curve analysis.Survival analyses including Kaplan-Meier analysis and Cox regression model were performed for further analysis.Results:Thirteen radiomic features,three clinical features,and treatment option were considered for model development.The combined model showed higher prognostic performance than using either.For the merged testing set(internal and external testing sets),AUC is 0.76(combined)vs.0.56-0.80(clinical or radiomic alone)and accuracy is 0.75(combined)vs.0.62-0.73(clinical or radiomic alone).Kaplan-Meier analysis using the combined model showed significant discrimination in PFS of the predicted low-risk and high-risk groups in the training and internal testing cohorts(P<0.05).Conclusions:Integrating with clinical and radiomic features could provide prognostic information on 5-year PFS under either treatment regimen,guiding individualized decisions of chemotherapy based on the predicted treatment outcome.展开更多
Based on the objective reality that audit risk responsibility has mainly been attributed to certified public accountants in the past,and audit standards have not specifically divided the entities responsible for audit...Based on the objective reality that audit risk responsibility has mainly been attributed to certified public accountants in the past,and audit standards have not specifically divided the entities responsible for audit risk responsibility,combined with the understanding of the types of audit risk elements related to audit standards,the differences in the understanding of audit risk and its relationship model application caused by the different audit cultures in China and the West have led to a bias of Chinese certified public accountants to bear inspection risks,which affects their professional enthusiasm and continues to cause accounting firms to be lazy in audit quality management.Based on this,literature research,case analysis,and logical deduction methods were used to redefine the concept of audit risk from the perspective of risk responsibility subjects.The traditional audit risk elements and their relationship models were briefly introduced,and the identification of audit risk elements and optimization of audit risk relationship models were systematically demonstrated.展开更多
Objective:Neoadjuvant therapy(NAT)has become the standard treatment option for patients with locally advanced breast cancer.How to non-invasively screen out patients with pathological complete response(pCR)after NAT h...Objective:Neoadjuvant therapy(NAT)has become the standard treatment option for patients with locally advanced breast cancer.How to non-invasively screen out patients with pathological complete response(pCR)after NAT has become an urgent world-wide clinical problem.Our work aims to the assessment of neoadjuvant treatment response in breast cancer patients for higher accuracy prediction using innovative artificial intelligence system.Methods:In this study,we retrospectively collected longitudinal(pre-NAT and post-NAT)multi-parametric magnetic resonance imaging(MRI)and clinicopathologic data of a total of 1,315 breast cancer patients(clinical stageⅠ-Ⅲ)who had undergone NAT followed by standard surgery and treated across 5 independent medical centers from January 2010 to January 2023.We used radiomics,3D convolutional neural network technology and clinical data statistical analysis methods to extract and screen multimodal features,and then developed and validated a Clinical-Radiomics-Deep-Learning(CRDL)model to predict patients'pCR outcomes based on multimodal fusion features.Results:We use the area under the receiver operating characteristic curve(AUC)in the primary cohort(PC)and3 external validation cohorts(VC_(1-3))to evaluate the model performance.The results showed that the AUC in the PC composed of 2 medical centers was 0.947[95%confidence interval(95%CI):0.931-0.960],and the AUC values in VC_(1-3)were 0.857(95%CI:0.810-0.901),0.883(95%CI:0.841-0.918)and 0.904(95%CI:0.860-0.941),respectively.Conclusions:The CRDL model demonstrated high accuracy and robustness in predicting pCR to NAT using multimodal fusion data.This study provides a strong foundation for non-invasive assessment of pCR status in breast cancer patients following NAT and offers critical insights to guide clinical decision-making in post-NAT treatment planning.展开更多
基金financially supported by the National Natural Science Foundation of China(Nos.42577209 and U22A20239)the Key R&D Program of Hunan Province(No.2024WK2004)the Key Technologies for Accurate Diagnosis and Intelligent Prevention and Control of Slope Hazards in Open pit Mines,181 Major R&D projects of Metallurgical Corporation of China Ltd。
文摘Excessive blasting-induced vibration during drilling-and-blasting excavation of deep tunnels can trigger geological hazards and compromise the stability of both the rock mass and support structures.This study focused on the deep double-line Sejila Mountain tunnel to systematically analyze the spatial response of blasting-induced vibration and to develop a prediction model through field tests and numerical simulations.The results revealed that the presence of a cross passage significantly altered propagation paths and the spatial distribution of blasting-induced vibration velocity.The peak particle velocity(PPV)at the cross-passage corner was amplified by approximately 1.92 times due to wave reflection and geometric focusing.Blasting-induced vibration waves attenuated non-uniformly across the tunnel cross-section,where PPV on the blast-face side was 1.54–6.56 times higher than that on the opposite side.We propose an improved PPV attenuation model that accounts for the propagation path effect.This model significantly improved fitting accuracy and resolved anomalous parameter(k and a)estimates in traditional equations,thereby improving prediction reliability.Furthermore,based on the observed spatial distribution of blasting-induced vibration,optimal monitoring point placement and targeted vibration control measures for tunnel blasting were discussed.These findings provide a scientific basis for designing blasting schemes and vibration mitigation strategies in deep tunnels.
基金supported by the National Natural Science Foundation of China(Grant Nos.12272411 and 42007259).
文摘Deep rock engineering is affected by coupled thermo-hydro-mechanical(THM)-dynamic fields,necessitating the elucidation of the dynamic mechanical behavior and failure mechanisms.This study utilized a Multi-field Coupled Controlled Split Hopkinson Pressure Bar(MCC-SHPB)system to elucidate the cross-scale dynamic responses of rocks and the boundaries of failure modes under THM coupling.Impact tests were conducted on green sandstone under coupled conditions of temperature(25℃-80℃),confining pressure(0-15 MPa),and seepage water pressure(0-15 MPa).Scanning electron microscopy(SEM)microstructural characterization and COMSOL Multiphysics numerical simulations were conducted,and a dynamic constitutive theoretical framework and failure-prediction methodology were established.We investigated the impact toughness index(I_(t)),dynamic modulus(E_(d)),dynamic triaxial compressive strength(TCS_(d)),fragmentation degree(W),and failure modes of green sandstone under thermo-confining pressure-seepage-impact loading conditions.The key findings reveal that the(I_(t))reflects different energy regulation mechanisms across different confining pressure regimes.Thermal-microcrack interactions dominate at low pressure,and energy absorption prevails at high pressure.A triphasic dynamic modulus model captures stiffness evolution under energy-driven conditions,revealing cross-scale crack nucleation-propagation and fragment reorganization.The TCSd inflection point signifies energy dissipation shifts,causing nonlinear skeleton bearing-capacity degradation.A critical criterion based on the W was established to distinguish between the two failure modes and predict the unstable failure initiation.Numerical simulations were used to elucidate the effects of inertia-dominated crack propagation and stress wave interference,validating the critical criterion and the predictive accuracy of the theoretical model during cross-scale failure.This study provides a theoretical foundation for assessing the dynamic stability of rock masses subjected to multi-field coupling during deep resource exploitation.
基金supported by the Project of Stable Support for Youth Team in Basic Research Field,CAS(grant No.YSBR-018)the National Natural Science Foundation of China(grant Nos.42188101,42130204)+4 种基金the B-type Strategic Priority Program of CAS(grant no.XDB41000000)the National Natural Science Foundation of China(NSFC)Distinguished Overseas Young Talents Program,Innovation Program for Quantum Science and Technology(2021ZD0300301)the Open Research Project of Large Research Infrastructures of CAS-“Study on the interaction between low/mid-latitude atmosphere and ionosphere based on the Chinese Meridian Project”.The project was supported also by the National Key Laboratory of Deep Space Exploration(Grant No.NKLDSE2023A002)the Open Fund of Anhui Provincial Key Laboratory of Intelligent Underground Detection(Grant No.APKLIUD23KF01)the China National Space Administration(CNSA)pre-research Project on Civil Aerospace Technologies No.D010305,D010301.
文摘Sporadic E(Es)layers in the ionosphere are characterized by intense plasma irregularities in the E region at altitudes of 90-130 km.Because they can significantly influence radio communications and navigation systems,accurate forecasting of Es layers is crucial for ensuring the precision and dependability of navigation satellite systems.In this study,we present Es predictions made by an empirical model and by a deep learning model,and analyze their differences comprehensively by comparing the model predictions to satellite RO measurements and ground-based ionosonde observations.The deep learning model exhibited significantly better performance,as indicated by its high coefficient of correlation(r=0.87)with RO observations and predictions,than did the empirical model(r=0.53).This study highlights the importance of integrating artificial intelligence technology into ionosphere modelling generally,and into predicting Es layer occurrences and characteristics,in particular.
基金Supported by Shenzhen High-level Hospital Construction Fund.
文摘BACKGROUND Patients harboring gene mutations like KRAS,NRAS,and BRAF demonstrate highly variable responses to chemotherapy,posing challenges for treatment optimization.Multiparametric magnetic resonance imaging(MRI),with its noninvasive capability to assess tumor characteristics in detail,has shown promise in evaluating treatment response and predicting therapeutic outcomes.This technology holds potential for guiding personalized treatment strategies tailored to individual patient profiles,enhancing the precision and effectiveness of colorectal cancer care.AIM To create a multiparametric MRI-based predictive model for assessing chemotherapy efficacy in colorectal cancer patients with gene mutations.METHODS This retrospective study was conducted in a tertiary hospital,analyzing 157 colorectal cancer patients with gene mutations treated between August 2022 and December 2023.Based on chemotherapy outcomes,the patients were categorized into favorable(n=60)and unfavorable(n=50)response groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of chemotherapy efficacy.A predictive nomogram was constructed using significant variables,and its performance was assessed using the area under the receiver operating characteristic curve(AUC)in both training and validation sets.RESULTS Univariate analysis identified that tumor differentiation,T2 signal intensity ratio,tumor-to-anal margin distance,and MRI-detected lymph node metastasis as significantly associated with chemotherapy response(P<0.05).Multivariate Logistics regression confirmed these four parameters as independent predictors.The predictive model demonstrated strong discrimination,with an AUC of 0.938(sensitivity:86%;specificity:92%)in the training set,and 0.942(sensitivity:100%;specificity:83%)in the validation set.CONCLUSION We established and validated a multiparametric MRI-based model for predicting chemotherapy response in colorectal cancer patients with gene mutations.This model holds promise for guiding individualized treatment strategies.
文摘Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models often have accurate results at the expense of high computational complexity.To address this problem,this paper uses the Tree-structured Parzen Estimator(TPE)to tune the hyperparameters of the Long Short-term Memory(LSTM)deep learning framework.The Tree-structured Parzen Estimator(TPE)uses a probabilistic approach with an adaptive searching mechanism by classifying the objective function values into good and bad samples.This ensures fast convergence in tuning the hyperparameter values in the deep learning model for performing prediction while still maintaining a certain degree of accuracy.It also overcomes the problem of converging to local optima and avoids timeconsuming random search and,therefore,avoids high computational complexity in prediction accuracy.The proposed scheme first performs data smoothing and normalization on the input data,which is then fed to the input of the TPE for tuning the hyperparameters.The traffic data is then input to the LSTM model with tuned parameters to perform the traffic prediction.The three optimizers:Adaptive Moment Estimation(Adam),Root Mean Square Propagation(RMSProp),and Stochastic Gradient Descend with Momentum(SGDM)are also evaluated for accuracy prediction and the best optimizer is then chosen for final traffic prediction in TPE-LSTM model.Simulation results verify the effectiveness of the proposed model in terms of accuracy of prediction over the benchmark schemes.
基金Projects(51925808,52078504)supported by the National Natural Science Foundation of ChinaProject(2022JJ10082)supported by the Natural Science Fund for Distinguished Young Scholar of Hunan Province,ChinaProject(2021RC3016)supported by the Science and Technology Innovation Program of Hunan Province,China。
文摘Structural damage detection is hard to conduct in large-scale civil structures due to enormous structural data and insufficient damage features.To improve this situation,a damage detection method based on model reduction and response reconstruction is presented.Based on the framework of two-step model updating including substructure-level localization and element-level detection,the response reconstruction strategy with an improved sensitivity algorithm is presented to conveniently complement modal information and promote the reliability of model updating.In the iteration process,the reconstructed response is involved in the sensitivity algorithm as a reconstruction-related item.Besides,model reduction is applied to reduce computational degrees of freedom(DOFs)in each detection step.A numerical truss bridge is modelled to vindicate the effectiveness and efficiency of the method.The results showed that the presented method reduces the requirement for installed sensors while improving efficiency and ensuring accuracy of damage detection compared to traditional methods.
基金The National Natural Science Foundation of China,Grant/Award Number:82204006Science and Technology Project of Hebei Education Department,Grant/Award Number:QN2022009+1 种基金Medical Science Research Project of Hebei,Grant/Award Number:20221534National Natural Science Foundation of Hebei Province,Grant/Award Number:H2024209038。
文摘Background:It is well recognized that developing new animal models,refining the existing mouse models,and thoroughly characterizing their features are essential for gaining a deeper understanding of rosacea pathogenesis and for advancing therapeutic strategies in this direction.Accordingly,we aimed to characterize the pathological features of a long-term LL-37-induced mouse model of rosacea and to compare the disease manifestations and pathophysiological characteristics between short-term and long-term LL-37-induced models.A key focus was to investigate differential gene expression and the underlying mechanisms of immune system dysregulation in these models.Methods:We comparatively assessed skin lesion manifestations,the extent of inflammatory infiltration,sebaceous gland alterations,fibrosis,and angiogenesis in both models.Assessments were performed using photographic documentation,hematoxylin-eosin(HE)staining,Van Gieson's(VG)staining,immunohistochemistry,and Western blotting.Furthermore,we employed RNA sequencing to analyze differential gene expression in mouse skin.The RNA sequencing data were validated using immunofluorescence staining and Western blotting,with a specific focus on gene variations and mechanisms related to immune system dysregulation.Results:Mice subjected to long-term LL-37 induction developed rosacea-like pathological features,including angiogenesis,thickened skin tissue,and sebaceous gland hypertrophy.In the short-term LL-37-induced model,immune dysregulation primarily involved the innate immune response.However,long-term LL-37 induction resulted in significant activation of both innate and adaptive immune responses.Conclusion:The long-term LL-37-induced mouse model offers a valuable animal model for the detailed investigation of the pathological mechanisms driving moderate-to-severe rosacea with prolonged disease duration.Importantly,this model provides a significant experimental foundation for exploring the potential role of immune system dysregulation in rosacea pathogenesis.
基金iVascular,S.L.U.,Camíde Can Ubach,11–Nave 3,08620 Sant Vicençdels Horts,Barcelona,Spain。
文摘Background:The efficacy of balloon angioplasty for treating peripheral artery disease is influenced by various factors,some of them not yet totally understood.This study aimed to evaluate the role of elastin content in vascular responses 28 days postangioplasty using uncoated and paclitaxel-coated balloons with the same platform in femoral arteries of a healthy porcine model.Methods:Eight animals underwent balloon angioplasty on the external and internal branches of femoral arteries.Histopathologic evaluation was conducted at follow-up to assess the elastin content,vascular damage,morphological features,and neointimal formation.Results:The elastin content was significantly higher in the external than in the internal femoral artery(p=0.0014).After balloon angioplasty,it was inversely correlated with vascular injury score(ρ=−0.4510,p=0.0096),neointimal inflammation(ρ=−0.3352,p=0.0607),transmural(ρ=−0.4474,p=0.0103)and circumferential(ρ=−0.4591,p=0.0082)smooth muscle cell loss,presence of proteoglycans(ρ=−0.5172,p=0.0024),fibrin deposition(ρ=−0.3496,p=0.0499),and adventitial fibrosis(ρ=−0.6229,p=0.0002).Neointimal formation inhibition with paclitaxel was evident only in arteries with disruption of the internal elastic lamina,with a significant smaller neointimal area in arteries treated with paclitaxel-coated balloons compared to uncoated balloons(median[Q1–Q3]:10.25[7.49–15.64]vs.24.44[18.96–30.52],p=0.0434).Conclusions:Elastin content varies between branches of the femoral artery and significantly influences the integrity of the internal elastic lamina,the vessel's adaptive response,and paclitaxel efficacy after balloon angioplasty.
基金supported by the Zhejiang Provincial Medical and Health Science and Technology Project(2022KY174)the‘Pioneer’R&D Program of Zhejiang(2024C03006).
文摘Background and aim Recently,long-term outcomes in patients with spontaneous intracerebral haemorrhage(sICH)have gained increasing attention besides acute-phase characteristics.Predictive models for long-term outcomes are valuable for risk stratification and treatment strategies.This study aimed to develop and validate an explainable model for predicting long-term recurrence and all-cause death in patients with ICH,using clinical and imaging markers of cerebral small vascular diseases from MRI.Method We retrospectively analysed data from a prospectively collected large-scale cohort of patients with acute ICH admitted to the Neurology Department of The Second Affiliated Hospital of Zhejiang University between November 2016 and April 2023.After comprehensive variable selection using least absolute shrinkage and selection operator and stepwise Cox regression,we constructed Cox proportional hazards models to predict recurrence and all-cause death.Model performance was evaluated using the concordance index,integrated Brier score and time-dependent area under the curve.Global and local interpretability were assessed using variable importance calculated as SurvSHAP(t)and SurvLIME methods for the entire training set and individual patients,respectively.Results A total of 842 eligible patients were included.Over a median follow-up of 36 months(IQR:12-51),86 patients(9.1%)died,and 62 patients(6.6%)experienced recurrence of ICH.The concordance indexes for the all-cause death and recurrence models were 0.841(95%CI 0.767 to 0.913)and 0.759(95%CI 0.651 to 0.867),respectively,with integrated Brier scores of 0.079 and 0.063.The interpretability maps highlighted age,aetiology of ICH and low haemoglobin as key predictors of long-term death,while cortical superficial siderosis and previous haemorrhage were crucial for predicting recurrence.Conclusions This model demonstrates high predictive accuracy and emphasises the crucial factors in predicting long-term outcomes of patients with sICH.
基金Supported by National Natural Science Foundation of China(Grant No.52175123)Sichuan Provincial Natural Science Foundation Innovation Research Group Project(Grant No.2025NSFTD0014)Independent Research Project of RVL(Grant No.2024RVL-T03).
文摘This study decouples the material microstructure into matrix and void phases.The undamaged constitutive is derived from the matrix phase,while the void phase contributes to damage evolution.A constitutive model is established by coupling the two.According to the void-phase evolution during damage,a damage sequence interaction model is proposed.Tests on new vehicles and vehicles in service materials yield stress-strain curves of materials without and with fatigue damage and measure the apparent elastic modulus.The damage sequence interaction model accurately predicts the residual mechanical properties of undamaged materials.A trolley collision test validates the constitutive model.Collision simulations at 25,36,and 48 km/h reveal that compared with undamaged models,the maximum vertical lift heights of moving vehicles with fatigue damage are 4.54%,3.74%,and 9.17%lower,respectively,and the maximum longitudinal compressions of stationary vehicles are 4.76%,14.53%,and 33.15%higher respectively.This research emphasizes the importance of considering fatigue damage in vehicle design and maintenance.The damage sequence interaction model has high engineering application value,applicable to vehicle safety checks and design,and provides a reference for improving relevant standards.
基金supported by the National Key Research and Development Program of China(No.2018YFC1802304)the National Natural Science Foundation of China(Nos.51988101 and 42077241)the Natural Science Foundation of Zhejiang Province(No.LCZ19E080002),China.
文摘Sand-bentonite(SB)cutoff walls are commonly used as barriers in polluted areas.The embedded part of an SB wall in an aquitard is crucial for its performance.In this study,a centrifuge modeling test was carried out to investigate the effect of contact between the key and the aquitard on the migration behavior of contaminants within an SB cutoff wall.The centrifuge was accelerated to 100g(gravitational acceleration)and maintained in-flight for 36 h,equivalent to 41 years of transport time in the prototype.Results showed that the contaminant concentration within the SB wall was higher downstream than in the middle in the thickness direction,and deeper regions exhibited a greater concentration than shallower ones.This concentration distribution indicated that contaminants were transported along the interface between the SB wall and the aquitard,bypassing the base of the SB wall to reach the downstream aquifer rapidly.An improved numerical simulation considering preferential interface migration was performed,which agreed with the centrifuge test results.The simulation results indicated that preferential interface migration,as a defect,significantly accelerated the speed of contaminant migration,reducing the breakthrough time of the SB wall to 1/9 of that without preferential interface migration.
基金Chinese Academy of Medical Sciences Initiative for Innovative Medicine,Grant/Award Number:2021-I2M-1-035 and 2022-I2M-1-011。
文摘Background:Dengue fever,an acute insect-borne infectious disease caused by the dengue virus(DENV),poses a great challenge to global public health.Hepatic involve-ment is the most common complication of severe dengue and is closely related to the occurrence and development of disease.However,the features of adaptive immune responses associated with liver injury in severe dengue are not clear.Methods:We used single-cell sequencing to examine the liver tissues of mild or se-vere dengue mice model to analyze the changes in immune response of T cells in the liver after dengue virus infection,and the immune interaction between macrophages and T cells.Flow cytometry was used to detect T cells and macrophages in mouse liver and blood to verify the single-cell sequencing results.Results:Our result showed CTLs were significantly activated in the severe liver injury group but the immune function-related signal pathway was down-regulated.The rea-son may be that the excessive immune response in the severe group at the late stage of DENV infection induces the polarization of macrophages into M2 type,and the macrophages then inhibit T cell immunity through the TGF-βsignaling pathway.In ad-dition,the increased proportion of Treg cells suggested that Th17/Treg homeostasis was disrupted in the livers of severe liver injury mice.Conclusions:In this study,single-cell sequencing and flow cytometry revealed the characteristic changes of T cell immune response and the role of macrophages in the liver of severe dengue fever mice.Our study provides a better understanding of the pathogenesis of liver injury in dengue fever patients.
基金supported by Beijing Natural Science Foundation(Grant No.Z210014)National Natural Science Foundation of China(Grant No.32070543)+1 种基金National Key Research and Development Project of China(Grant No.2022YFC2303404)CAMS Innovation Fund for Medical Sciences(CIFMS)(Grant No.2022-12M-CoV19-002)
文摘Background:SARS-CoV-2,first identified in late 2019,has given rise to numerous variants of concern(VOCs),posing a significant threat to human health.The emer-gence of Omicron BA.1.1 towards the end of 2021 led to a pandemic in early 2022.At present,the lethal mouse model for the study of SARS-CoV-2 needs supplementation,and the alterations in neutrophils and monocytes caused by different strains remain to be elucidated.Methods:Human ACE2 transgenic mice were inoculated with the SARS-CoV-2 proto-type and Omicron BA.1,respectively.The pathogenicity of the two strains was evalu-ated by observing clinical symptoms,viral load and pathology.Complete blood count,immunohistochemistry and flow cytometry were performed to detect the alterations of neutrophils and monocytes caused by the two strains.Results:Our findings revealed that Omicron BA.1 exhibited significantly lower vir-ulence compared to the SARS-CoV-2 prototype in the mouse model.Additionally,we observed a significant increase in the proportion of neutrophils late in infection with the SARS-CoV-2 prototype and Omicron BA.1.We found that the proportion of monocytes increased at first and then decreased.The trends in the changes in the proportions of neutrophils and monocytes induced by the two strains were similar.Conclusion:Our study provides valuable insights into the utility of mouse models for simulating the severe disease of SARS-CoV-2 prototype infection and the milder manifestation associated with Omicron BA.1.SARS-CoV-2 prototype and Omicron BA.1 resulted in similar trends in the changes in neutrophils and monocytes.
基金Supported by the Social Science Foundation of Hebei Province(Grant No.HB23TJ003)the Science Research Project of Hebei Education Department(Grant No.BJK2024197)。
文摘This paper examines an epidemic predator-prey model with prey dispersal and Holling type-II functional response. In this model, it is assumed that the predator population suffers a transmissible disease. By analyzing the corresponding characteristic equations, the local stability of each of feasible equilibria and the existence of Hopf bifurcations at the coexistence equilibrium is addressed. Using Lyapunov functionals and LaSalle's invariance principle, we obtained the sufficient conditions for the global stability of the trivial equilibrium, the predator-extinction equilibrium, the disease-free equilibrium and the coexistence equilibrium, respectively. The paper also includes numerical simulations to illustrate the analytical results.
基金supported by the National Natural Science Foundation of China(Nos.52378341,51938005,and 52090082).
文摘Urban spaces are becoming increasingly congested,and excavations are frequently performed close to existing underground structures such as tunnels.Understanding the mechanical response of proximal soil and tunnels to these excavations is important for efficient and safe underground construction.However,previous investigations of this issue have predominantly made assumptions of plane-strain conditions and normal gravity states,and focused on the performance of tunnels affected by excavation and unloading in sandy strata.In this study,a 3D centrifuge model test is conducted to investigate the influence of excavation on an adjacent existing tunnel in normally consolidated clay.The testing results indicate that the excavation has a significant impact on the horizontal deformation of the retaining wall and tunnel.Moreover,the settlements of the ground surface and the tunnel are mainly affected by the long-term period after excavation.The excavation is found to induce ground movement towards the pit,resulting in prolonged fluctuations in pore water pressure and lateral earth pressure.The testing results are compared with numerical simulations,achieving consistency.A numerical parametric study on the tunnel location shows that when the tunnel is closer to the retaining wall,the decreases in lateral earth pressure and pore water pressure during excavation are more pronounced.
文摘Objective:Radiotherapy(RT)is the definitive treatment for stageⅡnasopharyngeal carcinoma(NPC),which is classified as stagesⅠA andⅠB in the latest ninth edition of American Joint Committee on Cancer(AJCC)/Union for International Cancer Control(UICC).A crucial question is whether concurrent chemo-radiotherapy(CCRT)could derive additional benefits to this recent“down-staging”subgroup of NPC patients.This study aimed to interrogate clinical and radiomic features for predicting 5-year progression-free survival(PFS)of stageⅡNPC treated with RT alone or CCRT.Methods:Imaging and clinical data of 166 stageⅡNPC(eighth edition AJCC/UICC)patients were collected.Data were allocated into training,internal testing,and external testing sets.For each case,851 radiomic features were extracted and 10 clinical features were collected.Radiomic and clinical features most associated with the 5-year PFS were selected separately.A combined model was developed using multivariate logistic regression by integrating selected features and treatment option to predict 5-year PFS.Model performances were evaluated by area under the receiver operating curve(AUC),prediction accuracy,and decision curve analysis.Survival analyses including Kaplan-Meier analysis and Cox regression model were performed for further analysis.Results:Thirteen radiomic features,three clinical features,and treatment option were considered for model development.The combined model showed higher prognostic performance than using either.For the merged testing set(internal and external testing sets),AUC is 0.76(combined)vs.0.56-0.80(clinical or radiomic alone)and accuracy is 0.75(combined)vs.0.62-0.73(clinical or radiomic alone).Kaplan-Meier analysis using the combined model showed significant discrimination in PFS of the predicted low-risk and high-risk groups in the training and internal testing cohorts(P<0.05).Conclusions:Integrating with clinical and radiomic features could provide prognostic information on 5-year PFS under either treatment regimen,guiding individualized decisions of chemotherapy based on the predicted treatment outcome.
基金Key Project of Fujian Provincial University Application Technology Engineering Center for E-commerce,“Research on Improving the Risk Relationship Model of Localized Audit Risk Factors in the Digital Economy Background”(Project number:DZSW24-3).
文摘Based on the objective reality that audit risk responsibility has mainly been attributed to certified public accountants in the past,and audit standards have not specifically divided the entities responsible for audit risk responsibility,combined with the understanding of the types of audit risk elements related to audit standards,the differences in the understanding of audit risk and its relationship model application caused by the different audit cultures in China and the West have led to a bias of Chinese certified public accountants to bear inspection risks,which affects their professional enthusiasm and continues to cause accounting firms to be lazy in audit quality management.Based on this,literature research,case analysis,and logical deduction methods were used to redefine the concept of audit risk from the perspective of risk responsibility subjects.The traditional audit risk elements and their relationship models were briefly introduced,and the identification of audit risk elements and optimization of audit risk relationship models were systematically demonstrated.
基金supported by the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(No.2023-JKCS-23)the Special Research Fund for Central Universities,Peking Union Medical College[No.2022-I2M-C&T-A-014,CAMS Innovation Fund for Medical Sciences(CIFMS)]。
文摘Objective:Neoadjuvant therapy(NAT)has become the standard treatment option for patients with locally advanced breast cancer.How to non-invasively screen out patients with pathological complete response(pCR)after NAT has become an urgent world-wide clinical problem.Our work aims to the assessment of neoadjuvant treatment response in breast cancer patients for higher accuracy prediction using innovative artificial intelligence system.Methods:In this study,we retrospectively collected longitudinal(pre-NAT and post-NAT)multi-parametric magnetic resonance imaging(MRI)and clinicopathologic data of a total of 1,315 breast cancer patients(clinical stageⅠ-Ⅲ)who had undergone NAT followed by standard surgery and treated across 5 independent medical centers from January 2010 to January 2023.We used radiomics,3D convolutional neural network technology and clinical data statistical analysis methods to extract and screen multimodal features,and then developed and validated a Clinical-Radiomics-Deep-Learning(CRDL)model to predict patients'pCR outcomes based on multimodal fusion features.Results:We use the area under the receiver operating characteristic curve(AUC)in the primary cohort(PC)and3 external validation cohorts(VC_(1-3))to evaluate the model performance.The results showed that the AUC in the PC composed of 2 medical centers was 0.947[95%confidence interval(95%CI):0.931-0.960],and the AUC values in VC_(1-3)were 0.857(95%CI:0.810-0.901),0.883(95%CI:0.841-0.918)and 0.904(95%CI:0.860-0.941),respectively.Conclusions:The CRDL model demonstrated high accuracy and robustness in predicting pCR to NAT using multimodal fusion data.This study provides a strong foundation for non-invasive assessment of pCR status in breast cancer patients following NAT and offers critical insights to guide clinical decision-making in post-NAT treatment planning.
