The solid electrolyte interphase(SEI)layer,formed on the electrode through electrolyte decomposition,has garnered significant attention over the past several decades.Numerous characterization studies have shown that t...The solid electrolyte interphase(SEI)layer,formed on the electrode through electrolyte decomposition,has garnered significant attention over the past several decades.Numerous characterization studies have shown that the SEI enhances the stability of both the electrolyte and electrode,particularly by mitigating the well-known cation-solvent co-intercalation in graphite electrodes in lithium-ion batteries.However,recent electrolyte exchange experiments have revealed that variations in electrolyte solvation structure and the resulting desolvation behaviors play a more dominant role than the SEI in influencing electrolyte and electrode stability,which in turn critically impacts battery performance.In addition to contributing to the ongoing debate,electrolyte exchange experiments have proven to be a valuable tool for analyzing failures in electrolytes,electrodes,and batteries.This review highlights the application of electrolyte exchange experiments across various metal-ion batteries,incorporating diverse combinations of electrolytes and electrodes.It examines the influence of electrolyte solvation structures and desolvation behaviors on the stability of both electrolytes and electrodes.The aim is to enhance the methodology of electrolyte exchange experiments to deepen the understanding of the molecular interactions among metal ions,anions,and solvents within the electrolyte.This approach complements existing insights into SEI effects,providing a more thorough and accurate framework for battery failure analysis.展开更多
During the construction of bank slopes involving pile driving,ensuring slope stability is crucial.This requires the design of appropriate support systems and a thorough evaluation of the failure mechanisms of pile str...During the construction of bank slopes involving pile driving,ensuring slope stability is crucial.This requires the design of appropriate support systems and a thorough evaluation of the failure mechanisms of pile structures under dynamic loading conditions.Based on the Huarong Coal Wharf project,various support schemes are analyzed using numerical simulation methods to calculate and compare slope stability coefficients.The optimal scheme is then identified.Under the selected support scheme,a numerical model of double-row suspended steel sheet piles is developed to investigate the dynamic response of the pile structures under pile driving loads.A time-history analysis is performed to assess the slope’s dynamic stability.The results show that the maximum displacements of the upper and lower steel sheet pile rows are 2.51 and 3.14 cm,respectively.The maximum principal stresses remain below 20 MPa in both rows,while the maximum von Mises stresses are 20.85 MPa for the upper row and 25.40 MPa for the lower row.The dominant frequencies of the steel sheet pile structures fall between 30 and 35 Hz,with a frequency bandwidth ranging from 0 to 500 Hz.The stability coefficient of the pile structures varies over time during the pile driving process,ultimately reaching a value of 1.26—exceeding the required safety threshold.This research provides practical guidance for designing support systems in wharf piling projects and offers a reliable basis for evaluating the safety performance of steel sheet piles in bank slopes.展开更多
Corrosion failure of N80-Q tubing occurred in a gas well.The causes of corrosion failure were investigated through macroscopic morphology,corrosion product analysis,and microbial analysis.The results show that the cor...Corrosion failure of N80-Q tubing occurred in a gas well.The causes of corrosion failure were investigated through macroscopic morphology,corrosion product analysis,and microbial analysis.The results show that the corrosion patterns of N80-Q tubing were diverse.The failure resulted from the combined action of microbial corrosion,CO_(2)/Cl^(-) corrosion,and erosion corrosion.展开更多
Purpose:To evaluate the effects of healthcare failure mode and effect analysis(FMEA)on the prevention of deep venous thrombosis(DVT)in elderly patients undergoing femoral fracture surgery.Methods:Eighty elderly patien...Purpose:To evaluate the effects of healthcare failure mode and effect analysis(FMEA)on the prevention of deep venous thrombosis(DVT)in elderly patients undergoing femoral fracture surgery.Methods:Eighty elderly patients undergoing femoral fracture surgery who did not apply FMEA in Suzhou BenQ Medical Center from June 1,2022 to May 31,2023 were selected as the control group.According to the equal group experiment method,80 elderly patients who were managed using FMEA from June 1,2023 to May 31,2024 were selected as the FMEA group.The control group received traditional nursing management,while the FMEA group applied FMEA to analyze failure causes,calculate Risk Priority Numbers(RPNs),identify failure modes with higher RPNs,analyze the influencing factors,develop improvement measures,and optimize processes.The RPN values and the incidence of DVT,as well as nursing satisfaction scores,were compared in the two groups.Results:Compared with the control group,the total RPN values of the FEMA group decreased significantly,with a reduction rate of 87.0%.Besides,the incidence of DVT was 1.3%in the FMEA group,lower than 10.0%in the control group(8/80).What’s more,the patients in the FMEA group were more satisfied with the nursing service compared with the patients in the control group.Conclusion:The application of the FMEA in elderly patients undergoing femoral fracture surgery has demonstrated its potential to prevent the incidence of DVT,lower RPN values,and improve nursing satisfaction.展开更多
Autonomous Underwater Vehicles(AUVs)are pivotal for deep-sea exploration and resource exploitation,yet their reliability in extreme underwater environments remains a critical barrier to widespread deployment.Through s...Autonomous Underwater Vehicles(AUVs)are pivotal for deep-sea exploration and resource exploitation,yet their reliability in extreme underwater environments remains a critical barrier to widespread deployment.Through systematic analysis of 150 peer-reviewed studies employing mixed-methods research,this review yields three principal advancements to the reliability analysis of AUVs.First,based on the hierarchical functional division of AUVs into six subsystems(propulsion system,navigation system,communication system,power system,environmental detection system,and emergency system),this study systematically identifies the primary failure modes and potential failure causes of each subsystem,providing theoretical support for fault diagnosis and reliability optimization.Subsequently,a comprehensive review of AUV reliability analysis methods is conducted from three perspectives:analytical methods,simulated methods,and surrogate model methods.The applicability and limitations of each method are critically analyzed to offer insights into their suitability for engineering applications.Finally,the study highlights key challenges and research hotpots in AUV reliability analysis,including reliability analysis under limited data,AI-driven reliability analysis,and human reliability analysis.Furthermore,the potential of multi-sensor data fusion,edge computing,and advanced materials in enhancing AUV environmental adaptability and reliability is explored.展开更多
Traditional Chinese medicine(TCM)has played a significant role in the prevention and treatment of chronic heart failure(CHF).To study TCM diagnosis of CHF,a total of 278 Chinese clinical research articles on the study...Traditional Chinese medicine(TCM)has played a significant role in the prevention and treatment of chronic heart failure(CHF).To study TCM diagnosis of CHF,a total of 278 Chinese clinical research articles on the study of CHF syndromes in recent 40 years retrieved from Web of Science,Scopus,Pub Med,Embase,CNKI,Wanfang Data,Cq VIP,and Sino Med.According to cumulative frequency analysis,network analysis,and hierarchical cluster analysis,the study found the distribution of CHF syndromes was syndrome of qi deficiency with blood stasis,syndrome of qi and yin deficiency,syndrome of yang deficiency with water flooding,syndrome of heart blood stasis obstruction,syndrome of turbid phlegm,and syndrome of collapse due to primordial yang deficiency.The syndrome elements on location of illness were heart,kidney,lung,and spleen.The syndrome elements on nature of illness were qi deficiency,blood stasis,yang deficiency,yin deficiency,water retention,and turbid phlegm.These findings can provide reference to the research on diagnosis and treatment of CHF,and contribute to the study on syndrome standardization and objective research of TCM diagnosis.展开更多
BACKGROUND Congestive hepatopathy,also known as nutmeg liver,is liver damage secondary to chronic heart failure(HF).Its morphological characteristics in terms of medical imaging are not defined and remain unclear.AIM ...BACKGROUND Congestive hepatopathy,also known as nutmeg liver,is liver damage secondary to chronic heart failure(HF).Its morphological characteristics in terms of medical imaging are not defined and remain unclear.AIM To leverage machine learning to capture imaging features of congestive hepatopathy using incidentally acquired computed tomography(CT)scans.METHODS We retrospectively analyzed 179 chronic HF patients who underwent echocardiography and CT within one year.Right HF severity was classified into three grades.Liver CT images at the paraumbilical vein level were used to develop a ResNet-based machine learning model to predict tricuspid regurgitation(TR)severity.Model accuracy was compared with that of six gastroenterology and four radiology experts.RESULTS In the included patients,120 were male(mean age:73.1±14.4 years).The accuracy of the results predicting TR severity from a single CT image for the machine learning model was significantly higher than the average accuracy of the experts.The model was found to be exceptionally reliable for predicting severe TR.CONCLUSION Deep learning models,particularly those using ResNet architectures,can help identify morphological changes associated with TR severity,aiding in early liver dysfunction detection in patients with HF,thereby improving outcomes.展开更多
The swinging-loading process is essential for automatic artillery loading systems.This study focuses on the problems of reliability analysis that affect swinging-loading positioning accuracy.A dynamic model for a mult...The swinging-loading process is essential for automatic artillery loading systems.This study focuses on the problems of reliability analysis that affect swinging-loading positioning accuracy.A dynamic model for a multi degree-of-freedom swinging-loading-integrated rigid-flexible coupling system is established.This model is based on the identification of key parameters and platform experiments.Based on the spatial geometric relationship between the breech and loader during modular charge transfer and the possible maximum interference depth of the modular charge,a new failure criterion for estimating the reliability of swinging-loading positioning accuracy is proposed.Considering the uncertainties in the operation of the pendulum loader,the direct probability integration method is introduced to analyze the reliability of the swinging-loading positioning accuracy under three different charge numbers.The results indicate that under two and four charges,the swinging-loading process shows outstanding reliability.However,an unstable stage appears when the swinging motion occurred under six charges,with a maximum positioning failure probability of 0.0712.A comparison between the results obtained under the conventional and proposed criteria further reveals the effectiveness and necessity of the proposed criterion.展开更多
Cutting off or controlling the enemy’s power supply at critical moments or strategic locations may result in a cascade failure,thus gaining an advantage in a war.However,the exist-ing cascading failure modeling analy...Cutting off or controlling the enemy’s power supply at critical moments or strategic locations may result in a cascade failure,thus gaining an advantage in a war.However,the exist-ing cascading failure modeling analysis of interdependent net-works is insufficient for describing the load characteristics and dependencies of subnetworks,and it is difficult to use for model-ing and failure analysis of power-combat(P-C)coupling net-works.This paper considers the physical characteristics of the two subnetworks and studies the mechanism of fault propaga-tion between subnetworks and across systems.Then the surviv-ability of the coupled network is evaluated.Firstly,an integrated modeling approach for the combat system and power system is predicted based on interdependent network theory.A heteroge-neous one-way interdependent network model based on proba-bility dependence is constructed.Secondly,using the operation loop theory,a load-capacity model based on combat-loop betweenness is proposed,and the cascade failure model of the P-C coupling system is investigated from three perspectives:ini-tial capacity,allocation strategy,and failure mechanism.Thirdly,survivability indexes based on load loss rate and network sur-vival rate are proposed.Finally,the P-C coupling system is con-structed based on the IEEE 118-bus system to demonstrate the proposed method.展开更多
The connection efficiency of composite pre-tightened multi-tooth joint is low because of uneven load distribution and single load transmission path.In this paper,based on the principle of bio-tooth(suture)structure,co...The connection efficiency of composite pre-tightened multi-tooth joint is low because of uneven load distribution and single load transmission path.In this paper,based on the principle of bio-tooth(suture)structure,combining soft material with fractal,a composite pre-tightened multi-hierarchy tooth joint is proposed,and the bearing performance and failure process of the joint through experiments and finite element method under tensile load.First,the ultimate bearing capacity,load distribution ratio,and failure process of different hierarchies of teeth joints are studied through experiments.Then,the progressive damage models of different hierarchies of tooth joints are established,and experiments verify the validity of the finite element model.Finally,the effects of soft material and increasing tooth hierarchy on the failure process and bearing capacity of composite pre-tightened tooth joints are analyzed by the finite element method.The following conclusions can be drawn:(1)The embedding of soft materials changed the failure process of the joint.Increasing the tooth hierarchy can give the joint more load transfer paths,but the failure process of the joint is complicated.(2)Embedding soft materials and increasing the tooth hierarchy simultaneously can effectively improve the bearing capacity of composite pre-tightened tooth joints,which is 87.8%higher than that of traditional three-tooth joints.展开更多
BACKGROUND Acute liver failure(ALF)with sepsis is associated with rapid disease progression and high mortality.Therefore,early detection of high-risk sepsis subgroups in patients with ALF is crucial.AIM To develop and...BACKGROUND Acute liver failure(ALF)with sepsis is associated with rapid disease progression and high mortality.Therefore,early detection of high-risk sepsis subgroups in patients with ALF is crucial.AIM To develop and validate an accurate nomogram model for predicting the risk of sepsis in patients with ALF.METHODS We retrieved data from the Medical Information Mart for Intensive Care(MIMIC)IV database and the Fifth Medical Center of Chinese PLA General Hospital(FMCPH).Univariate and multivariate logistic regression analysis were used to identify risk factors for sepsis in ALF and were subsequently incorporated to construct a nomogram model[sepsis in ALF(SIALF)].The discrimination ability,calibration,and clinical applicability of the SIALF model were evaluated by the area under receiver operating characteristic curve,calibration curves,and decision curve analysis,respectively.The Kaplan-Meier curves were used for robustness check.The SIALF model was internally validated using the bootstrapping method with the MIMIC validation cohort and externally validated by the FMCPH cohort.RESULTS A total of 738 patients with ALF patients were included in this study,with 510 from the MIMIC IV database and 228 from the FMCPH cohort.In the MIMIC IV cohort,387(75.89%)patients developed sepsis.Multivariate logistic regression analysis revealed that age[odds ratio(OR)=1.016,95%confidence interval(CI):1.003-1.028,P=0.017],total bilirubin(OR=1.047,95%CI:1.008-1.088,P=0.017),lactate dehydrogenase(OR=1.001,95%CI:1.000-1.001,P<0.001),albumin(OR=0.436,95%CI:0.274-0.692,P=0.003),and mechanical ventilation(OR=1.985,95%CI:1.269-3.105,P=0.003)were independent risk factors associated with sepsis in patients with ALF.The SIALF model demonstrated satisfactory accuracy and clinical utility with area under receiver operating characteristic curve values of 0.849,0.847,and 0.835 for the internal derivation,internal validation,and external validation cohort,respectively,which outperformed the Sequential Organ Failure Assessment scores of 0.733,0.746,and 0.721 and systemic inflammatory response syndrome scores of 0.578,0.653,and 0.615,respectively.The decision curve analysis and calibration curves indicated superior clinical utility and efficiency than other score systems.Based on the risk stratification score derived from the SIALF model,the Kaplan-Meier curves effectively discriminated the real high-risk subpopulation.To enhance the clinical utility,we constructed an online dynamic version,enabling physicians to evaluate patients’condition and track disease progression in real-time.CONCLUSION Based on easily identifiable clinical data,we developed the SIALF model to predict the risk of sepsis in patients with ALF.The model demonstrated robust predictive efficiency,outperformed Sequential Organ Failure Assessment and systemic inflammatory response syndrome scores,and was validated in an external cohort.The model-based risk stratification and online calculator might further facilitate the early detection and appropriate treatment for this subpopulation.展开更多
BACKGROUND Liver transplantation(LT)is recognized as an effective approach that offers survival benefits for patients with acute-on-chronic liver failure(ACLF).However,controversies remain regarding the LT selection c...BACKGROUND Liver transplantation(LT)is recognized as an effective approach that offers survival benefits for patients with acute-on-chronic liver failure(ACLF).However,controversies remain regarding the LT selection criteria,and meta-analyses reporting overall survival outcomes across different ACLF severity grades are lacking.AIM To depict a comprehensive postoperative picture of patients with ACLF of varying severity and contribute to updating LT selection.METHODS Systematic searches in Web of Science,EMBASE,PubMed,and Cochrane databases were performed,from inception to December 26,2023,for studies exploring post-transplant outcomes among ACLF patients,stratified by severity grades as identified by the European Association for the Study of the Liver-Chronic Liver Failure criteria.The primary outcome of interest was the survival rate within one year,with post-transplant complications as secondary outcomes.Additionally,the subgroup analysis examined region-specific one-year survival rates.RESULTS A total of 17 studies involving 28025 participants were included.Patients with ACLF-1 and ACLF-2 have favorable survival within one year,with survival rates reaching 87%[95%confidence interval(CI):84%-91%]and 86%(95%CI:81%-91%),respectively.Despite the relatively lower survival(73%,95%CI:66%-80%)and higher incidence of infection(48%,95%CI:29%-67%)observed in ACLF-3 patients,their survival exceeds that of those who do not undergo LT.Moreover,post-transplant survival was highest in North America across all ACLF grades.CONCLUSION LT can provide survival advantages for ACLF patients.To optimize the utilization of scarce donor organs and improve prognosis,comprehensive preoperative health evaluations are essential,especially for ACLF-3 patients.展开更多
In the face of data scarcity in the optimization of maintenance strategies for civil aircraft,traditional failure data-driven methods are encountering challenges owing to the increasing reliability of aircraft design....In the face of data scarcity in the optimization of maintenance strategies for civil aircraft,traditional failure data-driven methods are encountering challenges owing to the increasing reliability of aircraft design.This study addresses this issue by presenting a novel combined data fusion algorithm,which serves to enhance the accuracy and reliability of failure rate analysis for a specific aircraft model by integrating historical failure data from similar models as supplementary information.Through a comprehensive analysis of two different maintenance projects,this study illustrates the application process of the algorithm.Building upon the analysis results,this paper introduces the innovative equal integral value method as a replacement for the conventional equal interval method in the context of maintenance schedule optimization.The Monte Carlo simulation example validates that the equivalent essential value method surpasses the traditional method by over 20%in terms of inspection efficiency ratio.This discovery indicates that the equal critical value method not only upholds maintenance efficiency but also substantially decreases workload and maintenance costs.The findings of this study open up novel perspectives for airlines grappling with data scarcity,offer fresh strategies for the optimization of aviation maintenance practices,and chart a new course toward achieving more efficient and cost-effective maintenance schedule optimization through refined data analysis.展开更多
Objectives:This study aimed to assess the impact of exercise rehabilitation during the vulnerable period on cardiac recovery(CR)outcomes in patients with acute decompensated heart failure(ADHF).Methods:Multiple databa...Objectives:This study aimed to assess the impact of exercise rehabilitation during the vulnerable period on cardiac recovery(CR)outcomes in patients with acute decompensated heart failure(ADHF).Methods:Multiple databases including PubMed,Web of Science,Embase,the Cochrane Library,CINAHL,China National Knowledge Infrastructure(CNKI),Chinese Science and Technology Periodical Database(VIP),Wanfang database,SinoMed,ClinicalTrials.gov,and American Heart Association(AHA)and European Society of Cardiology(ESC)were searched for RCTs on exercise rehabilitation in ADHF patients’vulnerable period from inception to April 2,2025.The risk of bias was assessed with Cochrane Risk of Bias 2.0,and data were analyzed in RevMan 5.3.Results:A total of seven RCTs involving 946 patients were included.The results demonstrated that exercise rehabilitation training during the vulnerable period in patients with ADHF significantly increased the 6-min walk test distance(6-MWTD)(SMD=0.37;95%CI:0.09,0.65;P=0.01),short physical performance battery(SPPB)score(MD=1.26;95%CI:0.82,1.70;P<0.001)and peak oxygen consumption(VO2peak)(SMD=1.43;95%CI:0.53,2.34;P=0.002),improved quality of life(QoL)(SMD=0.85;95%CI:0.07,1.64,P=0.03),reduced depression score(MD=-0.73;95%CI:1.27,-0.18;P=0.009),frailty(MD=-0.22;95%CI:-0.48,0.05;P=0.11),and decreased 6-month all-cause readmission(OR=0.67;95%CI:0.49,0.91;P=0.01).However,no statistically significantdifferences were observed between the two groups in left ventricular ejection fraction(LVEF)(MD=0.96;95%CI:-1.84,3.77;P=0.50),6-month heart failure(HF)-related readmission(OR=1.01;95%CI:0.66,1.53;P=0.98),and all-cause mortality(OR=0.63;95%CI:0.18,2.24;P=0.47).There were no adverse events reported.Conclusions:Exercise rehabilitation during the vulnerable phase improves exercise tolerance,QoL,and depressive symptoms while reducing 6-month all-cause readmissions in ADHF patients,with no reported adverse events.Although trends toward improved LVEF,HF-related readmissions,and all-cause mortality were observed.Large-scale,high-quality studies are warranted to explore individualized responses and long-term outcomes.展开更多
Background1 Currently,there is a scarcity of risk prediction models for frailty in hospitalized patients with chronic heart failure(CHF).This study aimed to investigate the frailty status of hospitalized CHF patients,...Background1 Currently,there is a scarcity of risk prediction models for frailty in hospitalized patients with chronic heart failure(CHF).This study aimed to investigate the frailty status of hospitalized CHF patients,identify independent risk factors significantly associated with frailty,and construct an effective risk prediction model.The goal was to provide a reference for clinical strategies in preventing and managing frailty among CHF patients.Methodss Using convenience sampling,we enrolled 184 hospitalized CHF patients from a tertiary hospital between February 2022 and December 2024.General demographic data were collected via questionnaires,alongside frailty screening using the FRAIL scale and assessment of daily functioning with the Activities of Daily Living(ADL)scale.Clinical data were obtained by reviewing medical records.Participants were categorized into a frail group(n=65)and a non-frail group(n=119)based on frailty status.Clinical risk factors were compared between groups.Multivariate logistic regression was used to identify independent risk factors.A prediction model was constructed,and a receiver operating characteristic(ROC)curve was plotted to evaluate its predictive value.Results A total of 184 hospitalized CHF patients were included,with 65(35.33%)exhibiting frailty.Multivariate logistic regression analysis showed that independent risk factors for frailty included:age,ADL score,N-terminal pro-brain natriuretic peptide(NT-pro-BNP),left ventricular ejection fraction(LVEF),New York Heart Association(NYHA)class II/IV,≥3 comorbidities,comorbid diabetes mellitus(DM),comorbid valvular heart disease(VHD),smoking history,hemoglobin(Hb),albumin,high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),creatinine(Cr),and blood urea nitrogen(BUN).The aforementioned factors were incorporated into logistic regression analysis and the prediction model was built.The prediction model showed quite strong predictive performance.Its area under the ROC curve was 0.904(95%CI:0.857-0.951),with a sensitivity of98.5%and a specificity of 85.7%.ConclusionssThe frailty risk prediction model for hospitalized CHF patients demonstrated robust discriminative ability and calibration.It provided substantial reference value for clinical management of CHF,offering a basis for early assessment,risk stratification,and targeted interventions to prevent frailty by identifying high-risk patients.展开更多
As core components of precision-guided projectiles,projectile-borne components are highly susceptible to failure or even damage in complex high-overload environments,thereby significantly compromising launch reliabili...As core components of precision-guided projectiles,projectile-borne components are highly susceptible to failure or even damage in complex high-overload environments,thereby significantly compromising launch reliability and safety.However,accurately characterizing the mechanical behavior of propellants remains challenging due to the limitations in the current internal ballistic theory and the constraints of large-scale artillery firing experiments.This complicates the high-precision numerical modeling of projectile launch,and obstructs investigations into the failure mechanisms of projectile-borne components.Therefore,this paper identifies propellant parameters using the computational inverse method under uncertainty,further establishes high-precision numerical models of projectile launch,and explores the failure mechanisms of projectile-borne components in complex high-overload environments.First,a projectile launching experiment is meticulously designed and executed to obtain the breech pressure and muzzle velocity.Then,a general simulation model is built,and the powder burn model is used to simulate the ignition and combustion.Subsequently,the propellant parameters are effectively identified with the computational inverse method by the combination of the experiments and simulations.A high-precision numerical model of projectile launch is modified with the parameters validated by another experiment,and the high-overload characteristics during projectile launch are thoroughly analyzed based on this model.Finally,the high-overload characteristics of projectile-borne components are analyzed to elucidate the stress variation laws and to reveal the failure mechanisms influenced by time and spatial locations.This research provides an effective method for perfectly identifying propellant parameters and building high-precision numerical models of projectile launch.Additionally,it provides significant guidance for the anti-high overload design and analysis of projectile-borne components.展开更多
The oil and gas stored in deep and ultra-deep carbonate reservoirs is the focus of future exploration and development.Conical PDC(Polycrystalline Diamond Compact)cutter,which is a new kind of PDC cutter,can significan...The oil and gas stored in deep and ultra-deep carbonate reservoirs is the focus of future exploration and development.Conical PDC(Polycrystalline Diamond Compact)cutter,which is a new kind of PDC cutter,can significantly improve the rate of penetration(ROP)and extend PDC bit life in hard and abrasive formations.However,the breakage characteristics and failure mode of the conical PDC cutter cutting carbonate rock is still masked.In this paper,a series of single-cutter cutting tests were carried out with the conical and conventional PDC cutters.The cutting force,rock-breaking process,surface morphology of cutting grooves and cuttings characteristic were analyzed.Based on the derived formula of the brittle fracture index,the failure model of carbonate rock was quantitatively analyzed under the action of conical and conventional cutter.The results show that the average cutting force of the conical cutter is less than that of the conventional cutter,which means greater stability of the cutting process using the conical cutter.Carbonate rock with calcite as the main component tends to generate blocky rock debris by conical cutter.The height of the cuttings generated by the conical cutter is 0.5 mm higher than that generated by the conventional cutter.The conical cutter exhibits enhanced penetration capabilities within carbonate rock.The accumulation of rock debris in front of the conventional cutter is obvious.Whereas,the conical cutter facilitates the cuttings transport,thereby alleviating drilling stickiness slip.At different cutting depths,the conical cutter consistently causes asymmetric jagged brittle tensile fracture zones on both sides of the cutting groove.Calculations based on the brittle fracture index demonstrate that the brittle fracture index of the conical cutter generally doubles that of the conventional cutter.For carbonate rock,the conical cutter displays superior utilization of brittle fracture abilities.The research findings of this work offer insights into the breakage process and failure mode of carbonate rock by the conical cutter.展开更多
Background PANoptosis has the features of pyroptosis,apoptosis,and necroptosis.Numerous studies have confirmed the diverse roles of various types of cell death in acute liver failure(ALF),but limited attention has bee...Background PANoptosis has the features of pyroptosis,apoptosis,and necroptosis.Numerous studies have confirmed the diverse roles of various types of cell death in acute liver failure(ALF),but limited attention has been given to the crosstalk among them.In this study,we aimed to explore the role of PANoptosis in ALF and uncover new targets for its prevention or treatment.Methods Three ALF-related datasets(GSE14668,GSE62029,and GSE74000)were downloaded from the Gene Expression Omnibus(GEO)database to identify differentially expressed genes(DEGs).Hub genes were identified through intersecting DEGs,genes obtained from weighted gene co-expression network analysis(WGCNA),and genes related to PANoptosis.Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG),protein–protein interaction(PPI)analyses and gene set enrichment analysis(GSEA)were performed to determine functional roles.Verification was performed using an ALF mouse model.Results Our results showed that expression of seven hub genes(B-cell lymphoma-2-modifying factor(BMF),B-cell lymphoma-2-interacting protein 3-like(BNIP3L),Caspase-1(CASP1),receptor-interacting protein kinase 3(RIPK3),uveal autoantigen with coiled-coil domains and ankyrin repeats protein(UACA),uncoordinated-5 homolog B receptor(UNC5B),and Z-DNA-binding protein 1(ZBP1))was up-regulated in liver samples of patients.However,in the ALF mouse model,the expression of BNIP3L,RIPK3,phosphorylated RIPK3(P-RIPK3),UACA,and cleaved caspase-1 was up-regulated,while the expression of CASP1 and UNC5B was down-regulated.The expression of ZBP1 and BMF increased only during the development of ALF,and there was no significant change in the end stage.Immunofluorescence of mouse liver tissue showed that macrophages expressed all seven markers.Western blot results showed that pyroptosis,apoptosis,and necroptosis were always involved in lipopolysaccharide(LPS)/D-galactosamine(D-gal)-induced ALF mice.The ALF cell model showed that bone marrow-derived macrophages(BMDMs)form PANoptosomes after LPS stimulation.Conclusions Our results suggest that PANoptosis of macrophages promotes the development of ALF.The seven new ALF biomarkers identified and validated in this study may contribute to further investigation of diagnostic markers or novel therapeutic targets of ALF.展开更多
Active tectonic movements and geological disasters frequently occur in the upper reaches of the Jinsha River,increasing the likelihood of landslides obstructing the river.Taking the ancient Rongcharong landslide dam f...Active tectonic movements and geological disasters frequently occur in the upper reaches of the Jinsha River,increasing the likelihood of landslides obstructing the river.Taking the ancient Rongcharong landslide dam failure events in the Suwalong reach as an example,this paper first analyzes the accuracy and applicability of the commonly used methods in calculating the peak flow of the dam failure,such as the empirical formula,the numerical method based on the physical mechanism,and the computational fluid dynamics(CFD)method.Then,the peak flood flow of the Rongcharong-dammed lake when it overflows the dam is determined to be 28393-64272 m~3/s.At the same time,the failure process of landslide dam due to flood erosion was elucidated using the CFD method,which can be divided into three stages:gradual erosion in the initial stage,rapid development in the middle stage,and gradual expansion in the final stage.Finally,the factors that affect the peak flow of floods are analyzed,and suggestions for emergency treatment of landslide dams are put forward.The findings of this research can serve as a valuable reference for disaster prevention and mitigation strategies to adapt to the increasing frequency of landslide-induced river blockages.展开更多
Web pillars enduring complex coupled loads are critical for stability in high-wall mining.This study develops a dynamic failure criterion for web pillars under non-uniform loading using catastrophe theory.Through the ...Web pillars enduring complex coupled loads are critical for stability in high-wall mining.This study develops a dynamic failure criterion for web pillars under non-uniform loading using catastrophe theory.Through the analysis of the web pillar-overburden system’s dynamic stress and deformation,a total potential energy function and dynamic failure criterion were established for web pillars.An optimizing method for web pillar parameters was developed in highwall mining.The dynamic criterion established was used to evaluate the dynamic failure and stability of web pillars under static and dynamic loading.Key findings reveal that vertical displacements exhibit exponential-trigonometric variation under static loads and multi-variable power-law behavior under dynamic blasting.Instability risks arise when the roof’s tensile strength-to-stress ratio drops below 1.Using catastrophe theory,the bifurcation setΔ<0 signals sudden instability.The criterion defines failure as when the unstable web pillar section length l1 exceeds the roof’s critical collapse distance l2.Case studies and simulations determine an optimal web pillar width of 4.6 m.This research enhances safety and resource recovery,providing a theoretical framework for advancing highwall mining technology.展开更多
基金supported by the Jilin Provincial Scientific and Technological Development Program(YDZJ202401572ZYTS)the Overseas Expertise Introduction Project for Discipline Innovation of China(D18012)+1 种基金Education Department of Jilin Province(JJKH20240678KJ)the National Natural Science Foundation of China(22122904,22109155,22379136)。
文摘The solid electrolyte interphase(SEI)layer,formed on the electrode through electrolyte decomposition,has garnered significant attention over the past several decades.Numerous characterization studies have shown that the SEI enhances the stability of both the electrolyte and electrode,particularly by mitigating the well-known cation-solvent co-intercalation in graphite electrodes in lithium-ion batteries.However,recent electrolyte exchange experiments have revealed that variations in electrolyte solvation structure and the resulting desolvation behaviors play a more dominant role than the SEI in influencing electrolyte and electrode stability,which in turn critically impacts battery performance.In addition to contributing to the ongoing debate,electrolyte exchange experiments have proven to be a valuable tool for analyzing failures in electrolytes,electrodes,and batteries.This review highlights the application of electrolyte exchange experiments across various metal-ion batteries,incorporating diverse combinations of electrolytes and electrodes.It examines the influence of electrolyte solvation structures and desolvation behaviors on the stability of both electrolytes and electrodes.The aim is to enhance the methodology of electrolyte exchange experiments to deepen the understanding of the molecular interactions among metal ions,anions,and solvents within the electrolyte.This approach complements existing insights into SEI effects,providing a more thorough and accurate framework for battery failure analysis.
基金sponsored by Natural Science Research Project of Anhui Educational Committee(GrantNo.2022AH050810),NationalNatural Science Foundation of China(GrantNos.42402276,41972286,42072309,42102329)State Key Laboratory of Precision Blasting and Hubei Key Laboratory of Blasting Engineering,Jianghan University(No.PBSKL2023A1)the Open Fund of National Center for International Research on Deep Earth Drilling and Resource Development(No.DEDRD-2023-02).
文摘During the construction of bank slopes involving pile driving,ensuring slope stability is crucial.This requires the design of appropriate support systems and a thorough evaluation of the failure mechanisms of pile structures under dynamic loading conditions.Based on the Huarong Coal Wharf project,various support schemes are analyzed using numerical simulation methods to calculate and compare slope stability coefficients.The optimal scheme is then identified.Under the selected support scheme,a numerical model of double-row suspended steel sheet piles is developed to investigate the dynamic response of the pile structures under pile driving loads.A time-history analysis is performed to assess the slope’s dynamic stability.The results show that the maximum displacements of the upper and lower steel sheet pile rows are 2.51 and 3.14 cm,respectively.The maximum principal stresses remain below 20 MPa in both rows,while the maximum von Mises stresses are 20.85 MPa for the upper row and 25.40 MPa for the lower row.The dominant frequencies of the steel sheet pile structures fall between 30 and 35 Hz,with a frequency bandwidth ranging from 0 to 500 Hz.The stability coefficient of the pile structures varies over time during the pile driving process,ultimately reaching a value of 1.26—exceeding the required safety threshold.This research provides practical guidance for designing support systems in wharf piling projects and offers a reliable basis for evaluating the safety performance of steel sheet piles in bank slopes.
文摘Corrosion failure of N80-Q tubing occurred in a gas well.The causes of corrosion failure were investigated through macroscopic morphology,corrosion product analysis,and microbial analysis.The results show that the corrosion patterns of N80-Q tubing were diverse.The failure resulted from the combined action of microbial corrosion,CO_(2)/Cl^(-) corrosion,and erosion corrosion.
文摘Purpose:To evaluate the effects of healthcare failure mode and effect analysis(FMEA)on the prevention of deep venous thrombosis(DVT)in elderly patients undergoing femoral fracture surgery.Methods:Eighty elderly patients undergoing femoral fracture surgery who did not apply FMEA in Suzhou BenQ Medical Center from June 1,2022 to May 31,2023 were selected as the control group.According to the equal group experiment method,80 elderly patients who were managed using FMEA from June 1,2023 to May 31,2024 were selected as the FMEA group.The control group received traditional nursing management,while the FMEA group applied FMEA to analyze failure causes,calculate Risk Priority Numbers(RPNs),identify failure modes with higher RPNs,analyze the influencing factors,develop improvement measures,and optimize processes.The RPN values and the incidence of DVT,as well as nursing satisfaction scores,were compared in the two groups.Results:Compared with the control group,the total RPN values of the FEMA group decreased significantly,with a reduction rate of 87.0%.Besides,the incidence of DVT was 1.3%in the FMEA group,lower than 10.0%in the control group(8/80).What’s more,the patients in the FMEA group were more satisfied with the nursing service compared with the patients in the control group.Conclusion:The application of the FMEA in elderly patients undergoing femoral fracture surgery has demonstrated its potential to prevent the incidence of DVT,lower RPN values,and improve nursing satisfaction.
基金The National Key R&D Program Projects(Grant No.2022YFC2803601)the Natural Science Foundation of Shandong Province(Grant No.ZR2021YQ29)+1 种基金the Natural Science Foundation of Heilongjiang Province(Grant No.YQ2024E036)the Taishan Scholars Project(Grant No.tsqn202312317).
文摘Autonomous Underwater Vehicles(AUVs)are pivotal for deep-sea exploration and resource exploitation,yet their reliability in extreme underwater environments remains a critical barrier to widespread deployment.Through systematic analysis of 150 peer-reviewed studies employing mixed-methods research,this review yields three principal advancements to the reliability analysis of AUVs.First,based on the hierarchical functional division of AUVs into six subsystems(propulsion system,navigation system,communication system,power system,environmental detection system,and emergency system),this study systematically identifies the primary failure modes and potential failure causes of each subsystem,providing theoretical support for fault diagnosis and reliability optimization.Subsequently,a comprehensive review of AUV reliability analysis methods is conducted from three perspectives:analytical methods,simulated methods,and surrogate model methods.The applicability and limitations of each method are critically analyzed to offer insights into their suitability for engineering applications.Finally,the study highlights key challenges and research hotpots in AUV reliability analysis,including reliability analysis under limited data,AI-driven reliability analysis,and human reliability analysis.Furthermore,the potential of multi-sensor data fusion,edge computing,and advanced materials in enhancing AUV environmental adaptability and reliability is explored.
基金financed by the grants from the National Natural Science Foundation of China(No.81803996)Shanghai Key Laboratory of Health Identification and Assessment(No.21DZ2271000)。
文摘Traditional Chinese medicine(TCM)has played a significant role in the prevention and treatment of chronic heart failure(CHF).To study TCM diagnosis of CHF,a total of 278 Chinese clinical research articles on the study of CHF syndromes in recent 40 years retrieved from Web of Science,Scopus,Pub Med,Embase,CNKI,Wanfang Data,Cq VIP,and Sino Med.According to cumulative frequency analysis,network analysis,and hierarchical cluster analysis,the study found the distribution of CHF syndromes was syndrome of qi deficiency with blood stasis,syndrome of qi and yin deficiency,syndrome of yang deficiency with water flooding,syndrome of heart blood stasis obstruction,syndrome of turbid phlegm,and syndrome of collapse due to primordial yang deficiency.The syndrome elements on location of illness were heart,kidney,lung,and spleen.The syndrome elements on nature of illness were qi deficiency,blood stasis,yang deficiency,yin deficiency,water retention,and turbid phlegm.These findings can provide reference to the research on diagnosis and treatment of CHF,and contribute to the study on syndrome standardization and objective research of TCM diagnosis.
基金Supported by Grant-in-Aid for Research on Hepatitis from the Japan Agency for Medical Research and Development,No.24fk0210128h0002Grant-in-Aid for Scientific Research,No.KAKENHI-23K07372.
文摘BACKGROUND Congestive hepatopathy,also known as nutmeg liver,is liver damage secondary to chronic heart failure(HF).Its morphological characteristics in terms of medical imaging are not defined and remain unclear.AIM To leverage machine learning to capture imaging features of congestive hepatopathy using incidentally acquired computed tomography(CT)scans.METHODS We retrospectively analyzed 179 chronic HF patients who underwent echocardiography and CT within one year.Right HF severity was classified into three grades.Liver CT images at the paraumbilical vein level were used to develop a ResNet-based machine learning model to predict tricuspid regurgitation(TR)severity.Model accuracy was compared with that of six gastroenterology and four radiology experts.RESULTS In the included patients,120 were male(mean age:73.1±14.4 years).The accuracy of the results predicting TR severity from a single CT image for the machine learning model was significantly higher than the average accuracy of the experts.The model was found to be exceptionally reliable for predicting severe TR.CONCLUSION Deep learning models,particularly those using ResNet architectures,can help identify morphological changes associated with TR severity,aiding in early liver dysfunction detection in patients with HF,thereby improving outcomes.
文摘The swinging-loading process is essential for automatic artillery loading systems.This study focuses on the problems of reliability analysis that affect swinging-loading positioning accuracy.A dynamic model for a multi degree-of-freedom swinging-loading-integrated rigid-flexible coupling system is established.This model is based on the identification of key parameters and platform experiments.Based on the spatial geometric relationship between the breech and loader during modular charge transfer and the possible maximum interference depth of the modular charge,a new failure criterion for estimating the reliability of swinging-loading positioning accuracy is proposed.Considering the uncertainties in the operation of the pendulum loader,the direct probability integration method is introduced to analyze the reliability of the swinging-loading positioning accuracy under three different charge numbers.The results indicate that under two and four charges,the swinging-loading process shows outstanding reliability.However,an unstable stage appears when the swinging motion occurred under six charges,with a maximum positioning failure probability of 0.0712.A comparison between the results obtained under the conventional and proposed criteria further reveals the effectiveness and necessity of the proposed criterion.
基金supported by the National Natural Science Foundation of China(72271242)Hunan Provincial Natural Science Foundation of China for Excellent Young Scholars(2022JJ20046).
文摘Cutting off or controlling the enemy’s power supply at critical moments or strategic locations may result in a cascade failure,thus gaining an advantage in a war.However,the exist-ing cascading failure modeling analysis of interdependent net-works is insufficient for describing the load characteristics and dependencies of subnetworks,and it is difficult to use for model-ing and failure analysis of power-combat(P-C)coupling net-works.This paper considers the physical characteristics of the two subnetworks and studies the mechanism of fault propaga-tion between subnetworks and across systems.Then the surviv-ability of the coupled network is evaluated.Firstly,an integrated modeling approach for the combat system and power system is predicted based on interdependent network theory.A heteroge-neous one-way interdependent network model based on proba-bility dependence is constructed.Secondly,using the operation loop theory,a load-capacity model based on combat-loop betweenness is proposed,and the cascade failure model of the P-C coupling system is investigated from three perspectives:ini-tial capacity,allocation strategy,and failure mechanism.Thirdly,survivability indexes based on load loss rate and network sur-vival rate are proposed.Finally,the P-C coupling system is con-structed based on the IEEE 118-bus system to demonstrate the proposed method.
基金funded by the National Natural Science Foundation of China(52478138).
文摘The connection efficiency of composite pre-tightened multi-tooth joint is low because of uneven load distribution and single load transmission path.In this paper,based on the principle of bio-tooth(suture)structure,combining soft material with fractal,a composite pre-tightened multi-hierarchy tooth joint is proposed,and the bearing performance and failure process of the joint through experiments and finite element method under tensile load.First,the ultimate bearing capacity,load distribution ratio,and failure process of different hierarchies of teeth joints are studied through experiments.Then,the progressive damage models of different hierarchies of tooth joints are established,and experiments verify the validity of the finite element model.Finally,the effects of soft material and increasing tooth hierarchy on the failure process and bearing capacity of composite pre-tightened tooth joints are analyzed by the finite element method.The following conclusions can be drawn:(1)The embedding of soft materials changed the failure process of the joint.Increasing the tooth hierarchy can give the joint more load transfer paths,but the failure process of the joint is complicated.(2)Embedding soft materials and increasing the tooth hierarchy simultaneously can effectively improve the bearing capacity of composite pre-tightened tooth joints,which is 87.8%higher than that of traditional three-tooth joints.
基金Supported by National Key Research and Development Program,No.2022YFA1103501。
文摘BACKGROUND Acute liver failure(ALF)with sepsis is associated with rapid disease progression and high mortality.Therefore,early detection of high-risk sepsis subgroups in patients with ALF is crucial.AIM To develop and validate an accurate nomogram model for predicting the risk of sepsis in patients with ALF.METHODS We retrieved data from the Medical Information Mart for Intensive Care(MIMIC)IV database and the Fifth Medical Center of Chinese PLA General Hospital(FMCPH).Univariate and multivariate logistic regression analysis were used to identify risk factors for sepsis in ALF and were subsequently incorporated to construct a nomogram model[sepsis in ALF(SIALF)].The discrimination ability,calibration,and clinical applicability of the SIALF model were evaluated by the area under receiver operating characteristic curve,calibration curves,and decision curve analysis,respectively.The Kaplan-Meier curves were used for robustness check.The SIALF model was internally validated using the bootstrapping method with the MIMIC validation cohort and externally validated by the FMCPH cohort.RESULTS A total of 738 patients with ALF patients were included in this study,with 510 from the MIMIC IV database and 228 from the FMCPH cohort.In the MIMIC IV cohort,387(75.89%)patients developed sepsis.Multivariate logistic regression analysis revealed that age[odds ratio(OR)=1.016,95%confidence interval(CI):1.003-1.028,P=0.017],total bilirubin(OR=1.047,95%CI:1.008-1.088,P=0.017),lactate dehydrogenase(OR=1.001,95%CI:1.000-1.001,P<0.001),albumin(OR=0.436,95%CI:0.274-0.692,P=0.003),and mechanical ventilation(OR=1.985,95%CI:1.269-3.105,P=0.003)were independent risk factors associated with sepsis in patients with ALF.The SIALF model demonstrated satisfactory accuracy and clinical utility with area under receiver operating characteristic curve values of 0.849,0.847,and 0.835 for the internal derivation,internal validation,and external validation cohort,respectively,which outperformed the Sequential Organ Failure Assessment scores of 0.733,0.746,and 0.721 and systemic inflammatory response syndrome scores of 0.578,0.653,and 0.615,respectively.The decision curve analysis and calibration curves indicated superior clinical utility and efficiency than other score systems.Based on the risk stratification score derived from the SIALF model,the Kaplan-Meier curves effectively discriminated the real high-risk subpopulation.To enhance the clinical utility,we constructed an online dynamic version,enabling physicians to evaluate patients’condition and track disease progression in real-time.CONCLUSION Based on easily identifiable clinical data,we developed the SIALF model to predict the risk of sepsis in patients with ALF.The model demonstrated robust predictive efficiency,outperformed Sequential Organ Failure Assessment and systemic inflammatory response syndrome scores,and was validated in an external cohort.The model-based risk stratification and online calculator might further facilitate the early detection and appropriate treatment for this subpopulation.
基金Supported by National Natural Science Foundation of China,No.82300857.
文摘BACKGROUND Liver transplantation(LT)is recognized as an effective approach that offers survival benefits for patients with acute-on-chronic liver failure(ACLF).However,controversies remain regarding the LT selection criteria,and meta-analyses reporting overall survival outcomes across different ACLF severity grades are lacking.AIM To depict a comprehensive postoperative picture of patients with ACLF of varying severity and contribute to updating LT selection.METHODS Systematic searches in Web of Science,EMBASE,PubMed,and Cochrane databases were performed,from inception to December 26,2023,for studies exploring post-transplant outcomes among ACLF patients,stratified by severity grades as identified by the European Association for the Study of the Liver-Chronic Liver Failure criteria.The primary outcome of interest was the survival rate within one year,with post-transplant complications as secondary outcomes.Additionally,the subgroup analysis examined region-specific one-year survival rates.RESULTS A total of 17 studies involving 28025 participants were included.Patients with ACLF-1 and ACLF-2 have favorable survival within one year,with survival rates reaching 87%[95%confidence interval(CI):84%-91%]and 86%(95%CI:81%-91%),respectively.Despite the relatively lower survival(73%,95%CI:66%-80%)and higher incidence of infection(48%,95%CI:29%-67%)observed in ACLF-3 patients,their survival exceeds that of those who do not undergo LT.Moreover,post-transplant survival was highest in North America across all ACLF grades.CONCLUSION LT can provide survival advantages for ACLF patients.To optimize the utilization of scarce donor organs and improve prognosis,comprehensive preoperative health evaluations are essential,especially for ACLF-3 patients.
文摘In the face of data scarcity in the optimization of maintenance strategies for civil aircraft,traditional failure data-driven methods are encountering challenges owing to the increasing reliability of aircraft design.This study addresses this issue by presenting a novel combined data fusion algorithm,which serves to enhance the accuracy and reliability of failure rate analysis for a specific aircraft model by integrating historical failure data from similar models as supplementary information.Through a comprehensive analysis of two different maintenance projects,this study illustrates the application process of the algorithm.Building upon the analysis results,this paper introduces the innovative equal integral value method as a replacement for the conventional equal interval method in the context of maintenance schedule optimization.The Monte Carlo simulation example validates that the equivalent essential value method surpasses the traditional method by over 20%in terms of inspection efficiency ratio.This discovery indicates that the equal critical value method not only upholds maintenance efficiency but also substantially decreases workload and maintenance costs.The findings of this study open up novel perspectives for airlines grappling with data scarcity,offer fresh strategies for the optimization of aviation maintenance practices,and chart a new course toward achieving more efficient and cost-effective maintenance schedule optimization through refined data analysis.
基金funded by the Young Clinical Research Special Fund Project of Peking University First Hospital(No.2024YC05)。
文摘Objectives:This study aimed to assess the impact of exercise rehabilitation during the vulnerable period on cardiac recovery(CR)outcomes in patients with acute decompensated heart failure(ADHF).Methods:Multiple databases including PubMed,Web of Science,Embase,the Cochrane Library,CINAHL,China National Knowledge Infrastructure(CNKI),Chinese Science and Technology Periodical Database(VIP),Wanfang database,SinoMed,ClinicalTrials.gov,and American Heart Association(AHA)and European Society of Cardiology(ESC)were searched for RCTs on exercise rehabilitation in ADHF patients’vulnerable period from inception to April 2,2025.The risk of bias was assessed with Cochrane Risk of Bias 2.0,and data were analyzed in RevMan 5.3.Results:A total of seven RCTs involving 946 patients were included.The results demonstrated that exercise rehabilitation training during the vulnerable period in patients with ADHF significantly increased the 6-min walk test distance(6-MWTD)(SMD=0.37;95%CI:0.09,0.65;P=0.01),short physical performance battery(SPPB)score(MD=1.26;95%CI:0.82,1.70;P<0.001)and peak oxygen consumption(VO2peak)(SMD=1.43;95%CI:0.53,2.34;P=0.002),improved quality of life(QoL)(SMD=0.85;95%CI:0.07,1.64,P=0.03),reduced depression score(MD=-0.73;95%CI:1.27,-0.18;P=0.009),frailty(MD=-0.22;95%CI:-0.48,0.05;P=0.11),and decreased 6-month all-cause readmission(OR=0.67;95%CI:0.49,0.91;P=0.01).However,no statistically significantdifferences were observed between the two groups in left ventricular ejection fraction(LVEF)(MD=0.96;95%CI:-1.84,3.77;P=0.50),6-month heart failure(HF)-related readmission(OR=1.01;95%CI:0.66,1.53;P=0.98),and all-cause mortality(OR=0.63;95%CI:0.18,2.24;P=0.47).There were no adverse events reported.Conclusions:Exercise rehabilitation during the vulnerable phase improves exercise tolerance,QoL,and depressive symptoms while reducing 6-month all-cause readmissions in ADHF patients,with no reported adverse events.Although trends toward improved LVEF,HF-related readmissions,and all-cause mortality were observed.Large-scale,high-quality studies are warranted to explore individualized responses and long-term outcomes.
基金supported by Guangdong Medical Science and Technology Research Fund Project(No.A2022458)Guangdong Provincial People's Medical Climbing Plan(Nursing Research Project)(No.DFJH2020011)。
文摘Background1 Currently,there is a scarcity of risk prediction models for frailty in hospitalized patients with chronic heart failure(CHF).This study aimed to investigate the frailty status of hospitalized CHF patients,identify independent risk factors significantly associated with frailty,and construct an effective risk prediction model.The goal was to provide a reference for clinical strategies in preventing and managing frailty among CHF patients.Methodss Using convenience sampling,we enrolled 184 hospitalized CHF patients from a tertiary hospital between February 2022 and December 2024.General demographic data were collected via questionnaires,alongside frailty screening using the FRAIL scale and assessment of daily functioning with the Activities of Daily Living(ADL)scale.Clinical data were obtained by reviewing medical records.Participants were categorized into a frail group(n=65)and a non-frail group(n=119)based on frailty status.Clinical risk factors were compared between groups.Multivariate logistic regression was used to identify independent risk factors.A prediction model was constructed,and a receiver operating characteristic(ROC)curve was plotted to evaluate its predictive value.Results A total of 184 hospitalized CHF patients were included,with 65(35.33%)exhibiting frailty.Multivariate logistic regression analysis showed that independent risk factors for frailty included:age,ADL score,N-terminal pro-brain natriuretic peptide(NT-pro-BNP),left ventricular ejection fraction(LVEF),New York Heart Association(NYHA)class II/IV,≥3 comorbidities,comorbid diabetes mellitus(DM),comorbid valvular heart disease(VHD),smoking history,hemoglobin(Hb),albumin,high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),creatinine(Cr),and blood urea nitrogen(BUN).The aforementioned factors were incorporated into logistic regression analysis and the prediction model was built.The prediction model showed quite strong predictive performance.Its area under the ROC curve was 0.904(95%CI:0.857-0.951),with a sensitivity of98.5%and a specificity of 85.7%.ConclusionssThe frailty risk prediction model for hospitalized CHF patients demonstrated robust discriminative ability and calibration.It provided substantial reference value for clinical management of CHF,offering a basis for early assessment,risk stratification,and targeted interventions to prevent frailty by identifying high-risk patients.
基金Project supported by the National Natural Science Foundation of China (No. 12302435)。
文摘As core components of precision-guided projectiles,projectile-borne components are highly susceptible to failure or even damage in complex high-overload environments,thereby significantly compromising launch reliability and safety.However,accurately characterizing the mechanical behavior of propellants remains challenging due to the limitations in the current internal ballistic theory and the constraints of large-scale artillery firing experiments.This complicates the high-precision numerical modeling of projectile launch,and obstructs investigations into the failure mechanisms of projectile-borne components.Therefore,this paper identifies propellant parameters using the computational inverse method under uncertainty,further establishes high-precision numerical models of projectile launch,and explores the failure mechanisms of projectile-borne components in complex high-overload environments.First,a projectile launching experiment is meticulously designed and executed to obtain the breech pressure and muzzle velocity.Then,a general simulation model is built,and the powder burn model is used to simulate the ignition and combustion.Subsequently,the propellant parameters are effectively identified with the computational inverse method by the combination of the experiments and simulations.A high-precision numerical model of projectile launch is modified with the parameters validated by another experiment,and the high-overload characteristics during projectile launch are thoroughly analyzed based on this model.Finally,the high-overload characteristics of projectile-borne components are analyzed to elucidate the stress variation laws and to reveal the failure mechanisms influenced by time and spatial locations.This research provides an effective method for perfectly identifying propellant parameters and building high-precision numerical models of projectile launch.Additionally,it provides significant guidance for the anti-high overload design and analysis of projectile-borne components.
基金supported by the NSFC Key International(Regional)Cooperative Research Projects(No.52020105001)National Natural Science Foundation of China(52304014)+2 种基金China Postdoctoral Science Foundation funded project(2023M733873)the Science Foundation of China University of Petroleum,Beijing(No.2462023SZBH003)General Program of National Natural Science Foundation of China(52374016,52274016)。
文摘The oil and gas stored in deep and ultra-deep carbonate reservoirs is the focus of future exploration and development.Conical PDC(Polycrystalline Diamond Compact)cutter,which is a new kind of PDC cutter,can significantly improve the rate of penetration(ROP)and extend PDC bit life in hard and abrasive formations.However,the breakage characteristics and failure mode of the conical PDC cutter cutting carbonate rock is still masked.In this paper,a series of single-cutter cutting tests were carried out with the conical and conventional PDC cutters.The cutting force,rock-breaking process,surface morphology of cutting grooves and cuttings characteristic were analyzed.Based on the derived formula of the brittle fracture index,the failure model of carbonate rock was quantitatively analyzed under the action of conical and conventional cutter.The results show that the average cutting force of the conical cutter is less than that of the conventional cutter,which means greater stability of the cutting process using the conical cutter.Carbonate rock with calcite as the main component tends to generate blocky rock debris by conical cutter.The height of the cuttings generated by the conical cutter is 0.5 mm higher than that generated by the conventional cutter.The conical cutter exhibits enhanced penetration capabilities within carbonate rock.The accumulation of rock debris in front of the conventional cutter is obvious.Whereas,the conical cutter facilitates the cuttings transport,thereby alleviating drilling stickiness slip.At different cutting depths,the conical cutter consistently causes asymmetric jagged brittle tensile fracture zones on both sides of the cutting groove.Calculations based on the brittle fracture index demonstrate that the brittle fracture index of the conical cutter generally doubles that of the conventional cutter.For carbonate rock,the conical cutter displays superior utilization of brittle fracture abilities.The research findings of this work offer insights into the breakage process and failure mode of carbonate rock by the conical cutter.
基金supported by the National Science and Technology Major Project of China(No.2018ZX10302206).
文摘Background PANoptosis has the features of pyroptosis,apoptosis,and necroptosis.Numerous studies have confirmed the diverse roles of various types of cell death in acute liver failure(ALF),but limited attention has been given to the crosstalk among them.In this study,we aimed to explore the role of PANoptosis in ALF and uncover new targets for its prevention or treatment.Methods Three ALF-related datasets(GSE14668,GSE62029,and GSE74000)were downloaded from the Gene Expression Omnibus(GEO)database to identify differentially expressed genes(DEGs).Hub genes were identified through intersecting DEGs,genes obtained from weighted gene co-expression network analysis(WGCNA),and genes related to PANoptosis.Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG),protein–protein interaction(PPI)analyses and gene set enrichment analysis(GSEA)were performed to determine functional roles.Verification was performed using an ALF mouse model.Results Our results showed that expression of seven hub genes(B-cell lymphoma-2-modifying factor(BMF),B-cell lymphoma-2-interacting protein 3-like(BNIP3L),Caspase-1(CASP1),receptor-interacting protein kinase 3(RIPK3),uveal autoantigen with coiled-coil domains and ankyrin repeats protein(UACA),uncoordinated-5 homolog B receptor(UNC5B),and Z-DNA-binding protein 1(ZBP1))was up-regulated in liver samples of patients.However,in the ALF mouse model,the expression of BNIP3L,RIPK3,phosphorylated RIPK3(P-RIPK3),UACA,and cleaved caspase-1 was up-regulated,while the expression of CASP1 and UNC5B was down-regulated.The expression of ZBP1 and BMF increased only during the development of ALF,and there was no significant change in the end stage.Immunofluorescence of mouse liver tissue showed that macrophages expressed all seven markers.Western blot results showed that pyroptosis,apoptosis,and necroptosis were always involved in lipopolysaccharide(LPS)/D-galactosamine(D-gal)-induced ALF mice.The ALF cell model showed that bone marrow-derived macrophages(BMDMs)form PANoptosomes after LPS stimulation.Conclusions Our results suggest that PANoptosis of macrophages promotes the development of ALF.The seven new ALF biomarkers identified and validated in this study may contribute to further investigation of diagnostic markers or novel therapeutic targets of ALF.
基金supported by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(No.2019QZKK0904)the National Natural Science Foundation of China(No.42307247)。
文摘Active tectonic movements and geological disasters frequently occur in the upper reaches of the Jinsha River,increasing the likelihood of landslides obstructing the river.Taking the ancient Rongcharong landslide dam failure events in the Suwalong reach as an example,this paper first analyzes the accuracy and applicability of the commonly used methods in calculating the peak flow of the dam failure,such as the empirical formula,the numerical method based on the physical mechanism,and the computational fluid dynamics(CFD)method.Then,the peak flood flow of the Rongcharong-dammed lake when it overflows the dam is determined to be 28393-64272 m~3/s.At the same time,the failure process of landslide dam due to flood erosion was elucidated using the CFD method,which can be divided into three stages:gradual erosion in the initial stage,rapid development in the middle stage,and gradual expansion in the final stage.Finally,the factors that affect the peak flow of floods are analyzed,and suggestions for emergency treatment of landslide dams are put forward.The findings of this research can serve as a valuable reference for disaster prevention and mitigation strategies to adapt to the increasing frequency of landslide-induced river blockages.
基金supported by the National Natural Science Foundation of China(Nos.52204136,52474100,and 52204092).
文摘Web pillars enduring complex coupled loads are critical for stability in high-wall mining.This study develops a dynamic failure criterion for web pillars under non-uniform loading using catastrophe theory.Through the analysis of the web pillar-overburden system’s dynamic stress and deformation,a total potential energy function and dynamic failure criterion were established for web pillars.An optimizing method for web pillar parameters was developed in highwall mining.The dynamic criterion established was used to evaluate the dynamic failure and stability of web pillars under static and dynamic loading.Key findings reveal that vertical displacements exhibit exponential-trigonometric variation under static loads and multi-variable power-law behavior under dynamic blasting.Instability risks arise when the roof’s tensile strength-to-stress ratio drops below 1.Using catastrophe theory,the bifurcation setΔ<0 signals sudden instability.The criterion defines failure as when the unstable web pillar section length l1 exceeds the roof’s critical collapse distance l2.Case studies and simulations determine an optimal web pillar width of 4.6 m.This research enhances safety and resource recovery,providing a theoretical framework for advancing highwall mining technology.
