As-forged WSTi6421 titanium alloy billet afterβannealing was investigated.Abnormally coarse grains larger than adjacent grains could be observed in the microstructures,forming abnormal grain structures with uneven si...As-forged WSTi6421 titanium alloy billet afterβannealing was investigated.Abnormally coarse grains larger than adjacent grains could be observed in the microstructures,forming abnormal grain structures with uneven size distribution.Through electron backscattered diffraction(EBSD),the forged microstructure at various locations of as-forged WSTi6421 titanium alloy billet was analyzed,revealing that the strength of theβphase cubic texture generated by forging significantly influences the grain size afterβannealing.Heat treatment experiments were conducted within the temperature range from T_(β)−50°C to T_(β)+10°C to observe the macro-and micro-morphologies.Results show that the cubic texture ofβphase caused by forging impacts the texture of the secondaryαphase,which subsequently influences theβphase formed during the post-βannealing process.Moreover,the pinning effect of the residual primaryαphase plays a crucial role in the growth ofβgrains during theβannealing process.EBSD analysis results suggest that the strength ofβphase with cubic texture formed during forging process impacts the orientation distribution differences ofβgrains afterβannealing.Additionally,the development of grains with large orientations within the cubic texture shows a certain degree of selectivity duringβannealing,which is affected by various factors,including the pinning effect of the primaryαphase,the strength of the matrix cubic texture,and the orientation relationship betweenβgrain and matrix.Comprehensively,the stronger the texture in a certain region,the less likely the large misoriented grains suffering secondary growth,thereby aggregating the difference in microstructure and grain orientation distribution across different regions afterβannealing.展开更多
Male infertility can result from impaired sperm motility caused by multiple morphological abnormalities of the flagella(MMAF).Distinct projections encircling the central microtubules of the spermatozoal axoneme play p...Male infertility can result from impaired sperm motility caused by multiple morphological abnormalities of the flagella(MMAF).Distinct projections encircling the central microtubules of the spermatozoal axoneme play pivotal roles in flagellar bending and spermatozoal movement.Mammalian sperm-associated antigen 17(SPAG17)encodes a conserved axonemal protein of cilia and flagella,forming part of the C1a projection of the central apparatus,with functions related to ciliary/flagellar motility,skeletal growth,and male fertility.This study investigated two novel homozygous SPAG17 mutations(M1:NM_206996.2,c.829+1G>T,p.Asp212_Glu276del;and M2:c.2120del,p.Leu707*)identified in four infertile patients from two consanguineous Pakistani families.These patients displayed the MMAF phenotype confirmed by Papanicolaou staining and scanning electron microscopy assays of spermatozoa.Quantitative real-time polymerase chain reaction(PCR)of patients’spermatozoa also revealed a significant decrease in SPAG17 mRNA expression,and immunofluorescence staining showed the absence of SPAG17 protein signals along the flagella.However,no apparent ciliary-related symptoms or skeletal malformations were observed in the chest X-rays of any of the patients.Transmission electron microscopy of axoneme cross-sections from the patients showed incomplete C1a projection and a higher frequency of missing microtubule doublets 1 and 9 compared with those from fertile controls.Immunofluorescence staining and Western blot analyses of spermatogenesis-associated protein 17(SPATA17),a component of the C1a projection,and sperm-associated antigen 6(SPAG6),a marker of the spring layer,revealed disrupted expression of both proteins in the patients’spermatozoa.Altogether,these findings demonstrated that SPAG17 maintains the integrity of spermatozoal flagellar axoneme,expanding the phenotypic spectrum of SPAG17 mutations in humans.展开更多
The rapid integration of Internet of Things(IoT)technologies is reshaping the global energy landscape by deploying smart meters that enable high-resolution consumption monitoring,two-way communication,and advanced met...The rapid integration of Internet of Things(IoT)technologies is reshaping the global energy landscape by deploying smart meters that enable high-resolution consumption monitoring,two-way communication,and advanced metering infrastructure services.However,this digital transformation also exposes power system to evolving threats,ranging from cyber intrusions and electricity theft to device malfunctions,and the unpredictable nature of these anomalies,coupled with the scarcity of labeled fault data,makes realtime detection exceptionally challenging.To address these difficulties,a real-time decision support framework is presented for smart meter anomality detection that leverages rolling time windows and two self-supervised contrastive learning modules.The first module synthesizes diverse negative samples to overcome the lack of labeled anomalies,while the second captures intrinsic temporal patterns for enhanced contextual discrimination.The end-to-end framework continuously updates its model with rolling updated meter data to deliver timely identification of emerging abnormal behaviors in evolving grids.Extensive evaluations on eight publicly available smart meter datasets over seven diverse abnormal patterns testing demonstrate the effectiveness of the proposed full framework,achieving average recall and F1 score of more than 0.85.展开更多
BACKGROUND 2D-echocardiography(2DE)has been the primary imaging modality in children with Kawasaki disease(KD)to assess coronary arteries.AIM To report the presence and implications of incidental congenital coronary a...BACKGROUND 2D-echocardiography(2DE)has been the primary imaging modality in children with Kawasaki disease(KD)to assess coronary arteries.AIM To report the presence and implications of incidental congenital coronary artery anomalies that had been misinterpreted as coronary artery abnormalities(CAAs)on 2DE.METHODS Records of children diagnosed with KD,who underwent computed tomography coronary angiography(CTCA)at our center between 2013-2023 were reviewed.We identified 3 children with congenital coronary artery anomalies in this cohort on CTCA.Findings of CTCA and 2DE were compared in these 3 children.RESULTS Of the 241 patients with KD who underwent CTCA,3(1.24%)had congenital coronary artery anomalies on CTCA detected incidentally.In all 3 patients,baseline 2DE had identified CAAs.CTCA was then performed for detailed evaluation as per our unit protocol.One(11-year-boy)amongst the 3 patients had complete KD,while the other two(3.3-year-boy;4-month-girl)had incomplete KD.CTCA revealed separate origins of left anterior descending artery and left circumflex from left sinus[misinterpreted as dilated left main coronary artery(LCA)on 2DE],single coronary artery(interpreted as dilated LCA on 2DE)and dilated right coronary artery on 2DE in case of anomalous origin of LCA from the main pulmonary artery.The latter one was subsequently operated upon.CONCLUSION CTCA is essential for detailed assessment of coronary arteries in children with KD especially in cases where there is suspicion of congenital coronary artery anomalies.Relying solely on 2DE may not be sufficient in such cases,and findings from CTCA can significantly impact therapeutic decision-making.展开更多
BACKGROUND:This study aimed to explore the importance of routine coagulation tests for the early detection of sepsis and to quickly identify patients at a high risk of mortality.METHODS:This retrospective single-cente...BACKGROUND:This study aimed to explore the importance of routine coagulation tests for the early detection of sepsis and to quickly identify patients at a high risk of mortality.METHODS:This retrospective single-center study collected data from patients meeting the clinical criteria for systemic inflammatory response syndrome(SIRS) with a confirmed infection source.Patients with coagulation disorders or on medications affecting coagulation were excluded.Patients were divided into sepsis and non-sepsis groups based on a Sequential Organ Failure Assessment(SOFA) score of ≥2.Univariate and multivariate logistic regression identified indicators from routine coagulation tests that predict sepsis.Prognostic roles of coagulation indicators were analyzed within the sepsis group.RESULTS:A total of 512 patients were included,with 396 in the sepsis group and 116 in the non-sepsis group.The predictive factors in the sepsis prediction model encompass fibrin degradation products(FDP),D-dimer,lactate,procalcitonin(PCT) levels and the utilization of mechanical ventilation.Early elevation of FDP and D-dimer levels predicted sepsis onset.The model exhibited an area under the curve(AUC) of 0.943(95% CI:0.923–0.963).In the sepsis group,Cox regression analysis revealed an association between prothrombin time(PT) and in-hospital mortality.CONCLUSION:Abnormal high FDP and D-dimer levels in the early stages of sepsis provide a supplementary method for predicting sepsis.As the disease progresses,prolonged PT in the early stages of sepsis suggests a poor prognosis.展开更多
The integration of cloud computing into traditional industrial control systems is accelerating the evolution of Industrial Cyber-Physical System(ICPS),enhancing intelligence and autonomy.However,this transition also e...The integration of cloud computing into traditional industrial control systems is accelerating the evolution of Industrial Cyber-Physical System(ICPS),enhancing intelligence and autonomy.However,this transition also expands the attack surface,introducing critical security vulnerabilities.To address these challenges,this article proposes a hybrid intrusion detection scheme for securing ICPSs that combines system state anomaly and network traffic anomaly detection.Specifically,an improved variation-Bayesian-based noise covariance-adaptive nonlinear Kalman filtering(IVB-NCA-NLKF)method is developed to model nonlinear system dynamics,enabling optimal state estimation in multi-sensor ICPS environments.Intrusions within the physical sensing system are identified by analyzing residual discrepancies between predicted and observed system states.Simultaneously,an adaptive network traffic anomaly detection mechanism is introduced,leveraging learned traffic patterns to detect node-and network-level anomalies through pattern matching.Extensive experiments on a simulated network control system demonstrate that the proposed framework achieves higher detection accuracy(92.14%)with a reduced false alarm rate(0.81%).Moreover,it not only detects known attacks and vulnerabilities but also uncovers stealthy attacks that induce system state deviations,providing a robust and comprehensive security solution for the safety protection of ICPS.展开更多
The Financial Technology(FinTech)sector has witnessed rapid growth,resulting in increasingly complex and high-volume digital transactions.Although this expansion improves efficiency and accessibility,it also introduce...The Financial Technology(FinTech)sector has witnessed rapid growth,resulting in increasingly complex and high-volume digital transactions.Although this expansion improves efficiency and accessibility,it also introduces significant vulnerabilities,including fraud,money laundering,and market manipulation.Traditional anomaly detection techniques often fail to capture the relational and dynamic characteristics of financial data.Graph Neural Networks(GNNs),capable of modeling intricate interdependencies among entities,have emerged as a powerful framework for detecting subtle and sophisticated anomalies.However,the high-dimensionality and inherent noise of FinTech datasets demand robust feature selection strategies to improve model scalability,performance,and interpretability.This paper presents a comprehensive survey of GNN-based approaches for anomaly detection in FinTech,with an emphasis on the synergistic role of feature selection.We examine the theoretical foundations of GNNs,review state-of-the-art feature selection techniques,analyze their integration with GNNs,and categorize prevalent anomaly types in FinTech applications.In addition,we discuss practical implementation challenges,highlight representative case studies,and propose future research directions to advance the field of graph-based anomaly detection in financial systems.展开更多
This study aimed to differentiate between the therapeutic and purely cosmetic aspects of keratopigmentation by examining the results of previous studies.Corneal opacity,corneal leukoma,and iris abnormalities represent...This study aimed to differentiate between the therapeutic and purely cosmetic aspects of keratopigmentation by examining the results of previous studies.Corneal opacity,corneal leukoma,and iris abnormalities represent the primary reasons for keratopigmentation in therapeutic settings.In therapeutic contexts,the most commonly reported adverse effects included inflammation,foreign body sensation,light sensitivity,reduced intraocular pressure,and neovascularization.The side effects most frequently noted in purely cosmetic applications were photophobia and ectasia.In therapeutic scenarios,patients who experience pre-operative vision impairment often report not only the absence of visual loss post-procedure but also an enhancement in visual acuity,accompanied by alleviation of symptoms such as glare.In purely cosmetic procedures,visual acuity tends to remain stable.Research indicates that dissatisfaction with keratopigmentation results is more prevalent in studies aimed at therapeutic interventions compared to cosmetic enhancements.Furthermore,instances of discoloration and fading are more frequently observed in therapeutic cases than in cosmetic ones,including the need for retouching.The use of keratopigmentation in both therapeutic and cosmetic settings produces positive and acceptable results,especially in cosmetic applications.Nevertheless,complications are more commonly observed in therapeutic situations,which underscores the importance of candidate selection for keratopigmentation procedures.展开更多
BACKGROUND Here,we report a case of jejunal diverticulosis from an anatomical and histological view.During the“Gross Anatomy course,”we found multiple jejunal diverticula along a total length of 208 cm of intestine....BACKGROUND Here,we report a case of jejunal diverticulosis from an anatomical and histological view.During the“Gross Anatomy course,”we found multiple jejunal diverticula along a total length of 208 cm of intestine.CASE SUMMARY After opening the intestinal tract,we counted 232 jejunal diverticulum entry points with a diameter of up to 2 cm and observed connections between the diverticula that created shortcuts between two distinct intestinal parts.Interestingly,we observed an extreme longitudinal striation on the intestinal parts hosting diverticula.Thorough vessel preparation utilizing a dissecting microscope confirmed that all investigated arteriae rectae ended in a diverticulum.Histological and immunohistochemical investigations revealed that intestinal villi of diverticula were smaller and less prominent than control tissue and that the stratum longitudinale,as well as the stratum circular,were much thinner in the diverticula compared to control tissue.Neither submucosal nor mesenteric plexus could be detected in the diverticula.However,vasoactive intestinal peptidepositive nerve fibers and villin-positive brush border could only be detected in control tissue.This indicates that jejunal diverticulosis is associated with abnormalities of the smooth muscles and a disorder of innervation.CONCLUSION Jejunal diverticulosis originates from mesenteric vessels,featuring smooth muscle changes,absent innervation,and thinning of tissue layers.展开更多
BACKGROUND Nervonic acid(NA,C24:1,w9)is a monounsaturated fatty acid that plays a crucial role in myelination and motor function.It also regulates cognitive and metabolic functions,suggesting that impaired NA metaboli...BACKGROUND Nervonic acid(NA,C24:1,w9)is a monounsaturated fatty acid that plays a crucial role in myelination and motor function.It also regulates cognitive and metabolic functions,suggesting that impaired NA metabolism may contribute to the pathophysiology of schizophrenia.Although several studies have measured erythrocyte membrane NA in first-episode psychosis(FEP),findings are conflicting,and the fate of NA in patients with chronic schizophrenia(CSZ)or under long-term antipsychotic treatment schedules remains unknown.AIM To measure erythrocyte membrane NA and determine its association with psychopathology and metabolic parameters in drug-naive patients with FEP and antipsychotic-treated patients with CSZ.METHODS In this study,twenty-one drug-naive patients with FEP,twenty patients with CSZ treated with atypical antipsychotics,and fourteen healthy male subjects were analyzed.Erythrocyte membrane NA was measured using ultrathin capillary gas chromatography,plasma leptin was measured using enzyme-linked immunosorbent assay,and body mass index(BMI)was calculated by using the formula:Weight(kg)/height(m^(2)).Psychiatric symptoms were evaluated using the brief psychiatry rating scale and the positive and negative syndrome scale(PANSS).Pearson correlation coefficient(r)was computed to find the association between erythrocyte membrane NA,PANSS scores,plasma leptin,and BMI.RESULTS In patients with FEP,erythrocyte NA was non-significantly increased(about 12%)and negatively correlated with negative symptoms(PANSS-negative symptom scores,r=-0.4323,P=0.023)but not with positive symptoms(PANSS-positive symptom scores,r=-0.2915,P=0.09).In patients with CSZ,erythrocyte NA was reduced considerably(about 40%,P<0.001 vs FEP and about 30%vs control(CNT)subjects,P=0.037)and negatively correlated with both PANSS-negative symptom scores(r=-0.4562,P=0.013)and PANSS-positive symptom scores(r=-0.3911,P=0.041).Additionally,in patients with FEP,erythrocyte NA was not significantly correlated either with BMI(r=-0.2532,P=0.231)or plasma leptin(r=-0.3001,P=0.102).However,in patients with CSZ,it did negatively correlate with both BMI(r=-0.4721,P=0.029)and plasma leptin(r=-0.4701,P=0.031).CONCLUSION Erythrocyte membrane NA level could be used for predicting the development of metabolic abnormalities,treatment resistance,and prognosis in schizophrenia.展开更多
This mini-review explores the transformative potential of artificial intelligence(AI)in improving the diagnosis,management,and long-term care of congenital heart diseases(CHDs).AI offers significant advancements acros...This mini-review explores the transformative potential of artificial intelligence(AI)in improving the diagnosis,management,and long-term care of congenital heart diseases(CHDs).AI offers significant advancements across the spectrum of CHD care,from prenatal screening to postnatal management and long-term monitoring.Using AI algorithms,enhanced fetal echocardiography,and genetic tests improves prenatal diagnosis and risk stratification.Postnatally,AI revolutionizes diagnostic imaging analysis,providing more accurate and efficient identification of CHD subtypes and severity.Compared with traditional methods,advanced signal processing techniques enable a more precise assessment of hemodynamic parameters.AI-driven decision support systems tailor treatment strategies,thereby optimizing therapeutic interventions and predicting patient outcomes with greater accuracy.This personalized approach leads to better clinical outcomes and reduced morbidity.Furthermore,AI-enabled remote monitoring and wearable devices facilitate ongoing surveillance,thereby enabling early detection of complications and provision of prompt interventions.This continuous monitoring is crucial in the immediate postoperative period and throughout the patient’s life.Despite the immense potential of AI,challenges remain.These include the need for standardized datasets,the development of transparent and understandable AI algorithms,ethical considerations,and seamless integration into existing clinical workflows.Overcoming these obstacles through collaborative data sharing and responsible implementation will unlock the full potential of AI to improve the lives of patients with CHD,ultimately leading to better patient outcomes and improved quality of life.展开更多
Thermal power generation systems have stringent requirements for water and steam quality,i.e.,condensate water quality is one of the critical issues.In this paper,we designed a two-layer model based on an autoencoder ...Thermal power generation systems have stringent requirements for water and steam quality,i.e.,condensate water quality is one of the critical issues.In this paper,we designed a two-layer model based on an autoencoder and expert knowledge to achieve the early warning and causal analysis of condensate water quality abnormalities.An early warning model using an autoencoder model is built based on the historical data affecting the condensate water quality.Next,an analytical model of condensate water quality abnormalities was then developed by combining expert knowledge and trend test algorithms.Two different datasets were used to test the proposed model,respectively.The accuracy of the autoencoder model in the short-period test set is 88.83%,which shows that the early warning model can accurately analyze the condensate water quality data and achieve the purpose of early warning.For the long-time period test set,the model can correctly identify each abnormality and simultaneously indicates the cause of the abnormal condensate water quality.The proposed model can correctly identify abnormal working conditions and it is applicable to other thermal power plants.展开更多
Schizophrenia is a multifaceted neurodevelopmental disorder characterized by hallucinations,delusions,cognitive deficits,and emotional dysregulation.The prefrontal cortex(PFC),essential for executive functions,working...Schizophrenia is a multifaceted neurodevelopmental disorder characterized by hallucinations,delusions,cognitive deficits,and emotional dysregulation.The prefrontal cortex(PFC),essential for executive functions,working memory,and emotional regulation,is notably impaired in this condition.This review consolidates current insights into the role of PFC dysfunction in schizophrenia,with a focus on its implications for therapeutic strategies.The neuroanatomical and neurobiological foundations of PFC dysfunction are explored,emphasizing structural abnormalities,functional dysconnectivity,and microcircuit disruptions that contribute to cognitive deficits and impaired decision-making.Clinical implications are discussed,particularly the correlation between PFC dysfunction and the severity and progression of schizophrenia symptoms.Additionally,pharmacological and non-pharmacological approaches aimed at modulating PFC activity are reviewed as potential therapeutic options.In conclusion,a deeper understanding of PFC dysfunction is pivotal for developing targeted treatments,and ongoing research offers promising avenues for enhancing outcomes for individuals affected by this debilitating disorder.展开更多
To investigate the correlation between propacetamol and postoperative liver enzyme abnormalities among patients,a retrospective analysis was conducted on inpatients in the thoracic surgery department spanning from Jan...To investigate the correlation between propacetamol and postoperative liver enzyme abnormalities among patients,a retrospective analysis was conducted on inpatients in the thoracic surgery department spanning from January 1 to June 30,2023.Causality assessment regarding propacetamol and postoperative liver enzyme abnormalities was performed using the updated Roussel Uclaf Causality Assessment Method(RUCAM).Furthermore,independent risk factors for liver enzyme abnormalities were identified through both univariate and multivariate analyses,followed by the construction and validation of a clinical nomogram.A total of 247 patients who received propacetamol were ultimately included in the study.Liver enzyme abnormalities post-surgery were more accurately predicted by considering the daily dose of propacetamol and the number of medications(OR(95%CI),4.831(2.797,8.344),P<0.001;10.007(3.878,25.823),P<0.001).A clinical predictive nomogram model was developed,incorporating these two independent risk factors,which exhibited favorable discrimination(AUC(95%CI),0.811(0.750,0.872)),calibration,and decision curve analysis(DCA)demonstrating the highest net benefits across a broad spectrum of threshold probabilities(10%to 90%).The daily dose of propacetamol and the number of medications were found to be independently associated with postoperative liver enzyme abnormalities.This user-friendly nomogram,comprising these two factors,might assist clinicians in assessing the risks of propacetamol-related liver dysfunction following surgery.展开更多
The deformation behavior of hot-rolled AZ31 magnesium(Mg)alloy sheet was analyzed when subjected to uniaxial tension along its normal direction at temperatures ranging from 100 to 400℃and strain rates ranging from 0....The deformation behavior of hot-rolled AZ31 magnesium(Mg)alloy sheet was analyzed when subjected to uniaxial tension along its normal direction at temperatures ranging from 100 to 400℃and strain rates ranging from 0.5 to 100 mm/min.Based on the stress−strain curves and the dynamic material model,the hot processing map was established,which demonstrates that the power dissipation factor(η)is the most sensitive to strain rate at 400℃via absorption of dislocations.At 400℃,sample at 0.5 mm/min possessesηof 0.89 because of its lower kernel average misorientation(KAM)value of 0.51,while sample at 100 mm/min possessesηof 0.46 with a higher KAM value of 1.147.In addition,the flow stress presents a slight decrease of 25.94 MPa at 10 mm/min compared to that at 100 mm/min and 100℃.The reasons are twofold:a special~34°texture component during 100℃-100 mm/min favoring the activation of basal slip,and dynamic recrystallization(DRX)also providing softening effect to some extent by absorbing dislocations.Difference in activation of basal slip among twin laminas during 100℃-100 mm/min results in deformation inhomogeneity within the grains,which generates stress that helps matrix grains tilt to a direction favorable to basal slip,forming the special~34°texture component.展开更多
Abnormal grain growth(AGG),a prevalent phenomenon in dilute magnesium(Mg)alloys during elevated-temperature processing,significantly compromises mechanical performance through microstructural degradation.This study in...Abnormal grain growth(AGG),a prevalent phenomenon in dilute magnesium(Mg)alloys during elevated-temperature processing,significantly compromises mechanical performance through microstructural degradation.This study investigates AGG evolution in a heat-treatable Mg-1Al-0.3Ca-0.5Mn(wt.%)alloy,revealing its fundamental mechanism through phase interaction analysis.The AGG initiation is predominantly driven by Zener pinning force attenuation around abnormally coarsened Al_(8)Mn_(5) precipitates.Mechanistically,this heterogeneous coarsening stems from preferential Al_(8)Mn_(5) phase growth kinetics adjacent to Al_(2)Ca phase during homogenization treatment,creating localized pinning force discontinuities.However,addition of 0.2 wt.%Gd facilitates phase transformation from Al_(8)Mn_(5) to thermally stable Al_(8)Mn_(4)Gd with lower Gibbs free energy,thereby promoting a more uniform and refined precipitate distribution.Consequently,the Gd-containing alloy exhibits enhanced grain thermal stability,maintaining a refined microstructure with average grain size of∼7.7μm even after T4 treatment at 500℃ for 1 h,which simultaneously improves strength and ductility compared to the Gd-free alloy.展开更多
BACKGROUND Refractory ascites(RA)and spontaneous bacterial peritonitis(SBP)are severe complications of decompensated cirrhosis,contributing to high morbidity and mortality.RA develops when ascites persists despite max...BACKGROUND Refractory ascites(RA)and spontaneous bacterial peritonitis(SBP)are severe complications of decompensated cirrhosis,contributing to high morbidity and mortality.RA develops when ascites persists despite maximum diuretic therapy,while SBP arises from bacterial translocation and immune dysfunction in cirrhotic patients with ascites.Identifying key risk factors associated with these conditions is crucial for early intervention and improved patient outcomes.AIM To assess clinical and biochemical predictors of RA and SBP in a cohort of hospitalized patients with cirrhotic ascites.METHODS A retrospective chart review was conducted on patients with cirrhotic ascites diagnosed with RA or SBP at University Medical Center,El Paso,from July 1,2013 to December 31,2023.Patient demographics,clinical history,laboratory parameters,ascitic fluid analysis,and cirrhosis severity scores[Model for End-Stage Liver Disease-Sodium(MELD-Na)and Child-Pugh]were recorded.Statistical analyses,including multivariate logistic regression,were performed to identify independent predictors of RA and SBP,with a significance threshold of P<0.05.RESULTS A total of 179 patients were included,with a mean age of 59.08±13.04 years,predominantly male(55.9%)and Hispanic(98.3%).The most common etiology of cirrhosis was alcohol-related liver disease(45.3%),and most patients had Grade III ascites(95.5%).Among them,115(64.2%)had RA,and 57(31.8%)had SBP.RA was significantly associated with abnormal serum potassium levels[odds ratio(OR)=2.27,95%CI:1.06–4.84,P=0.034],while SBP was independently predicted by gastrointestinal bleeding(OR=2.59,95%CI:1.18–5.64,P=0.017)and thrombocytopenia(platelet count<50000;OR=3.27,95%CI:1.08–9.88,P=0.035).CONCLUSION RA and SBP are major complications of cirrhosis,with electrolyte imbalances and coagulopathy playing key roles in their development.Our study confirms that abnormal potassium levels significantly predict RA,while gastrointestinal bleeding and thrombocytopenia are strong predictors of SBP.These findings emphasize the need for early risk stratification and targeted management strategies to improve outcomes in high-risk cirrhotic patients,particularly in minority populations with limited healthcare access.Further prospective studies are warranted to validate these results and explore potential interventions to reduce RA and SBP incidence.展开更多
The liver performs several vital functions such as metabolism,toxin removal,and glucose storage through the coordination of various cell types.With the recent breakthrough of the single-cell/single-nucleus RNAseq(sc/s...The liver performs several vital functions such as metabolism,toxin removal,and glucose storage through the coordination of various cell types.With the recent breakthrough of the single-cell/single-nucleus RNAseq(sc/snRNA-seq)techniques,there is a great opportunity to establish a reference cell map of the liver at single-cell resolution with transcriptome-wise features.In this study,we build a unified liver cell atlas uniLIVER(http://lifeome.net/database/uniliver)by integrative analysis of a large-scale sc/snRNA-seq data collection of normal human liver with 331,125 cells and 79 samples from 6 datasets.Moreover,we introduce LiverCT,a machine learning based method for mapping any query dataset to the liver reference map by introducing the definition of“variant”cellular states analogous to the sequence variants in genomic analysis.Applying LiverCT on liver cancer datasets,we find that the“deviated”states of T cells are highly correlated with the stress pathway activities in hepatocellular carcinoma,and the enrichments of tumor cells with the hepatocyte-cholangiocyte“intermediate”states significantly indicate poor prognosis.Besides,we find that the tumor cells of different patients have different zonation tendencies and this zonation tendency is also significantly associated with the prognosis.This reference atlas mapping framework can also be extended to any other tissues.展开更多
Karst caves are among the most common and critical geological hazards in karst regions.Due to their marked differences in physical properties compared to the surrounding rock,they can be detected using various geophys...Karst caves are among the most common and critical geological hazards in karst regions.Due to their marked differences in physical properties compared to the surrounding rock,they can be detected using various geophysical techniques.Karsts have developed on the surface of the Qingshuitang Wollastonite Mining Area in Huangtian Town,Hezhou City,Guangxi Province.In line with mine safety production requirements,a professional assessment of the potential development of karst caves must be conducted within 150 m of the mining area’s surface.Following an on-site investiga-tion and comparison with traditional geophysical methods,seismic frequency resonance technology(Seismic FRT)was selected for detection due to its convenience,flexibility,cost-effectiveness,and rapid data acquisition capabilities.Contour maps of the apparent wave impedance and geological profiles along the survey lines were obtained through data collection and processing.In combination with surface karst and mining geology,32 karst caves(hidden danger points)and 15 karst development zones were identified.Drilling verification was conducted at the A428 and B122 anomalous points on the A1# and B1# survey lines.The verification results were consistent with the inferred depths and maximum apparent wave impedance anomalies,confirming that Seismic FRT is a feasible and effective method for detecting hid-den karst development areas in mines.展开更多
The introduction of drug-eluting stents has significantly reduced the incidence of in-stent restenosis.Despite this,recurrent cardiovascular events related to untreated nontarget lesions(NTLs)are becoming more common ...The introduction of drug-eluting stents has significantly reduced the incidence of in-stent restenosis.Despite this,recurrent cardiovascular events related to untreated nontarget lesions(NTLs)are becoming more common and accounting for more than 50%of all recurrent cardiovascular events.In patients with dia-betes,factors such as prolonged disease duration,poor glycemic control,insulin use,and inadequate lipid management may exacerbate the progression of NTLs and adverse cardiovascular events.Additionally,glycemic fluctuations have been linked to an increased risk of future cardiovascular events in patients with early glucose metabolism abnormalities and acute hyperglycemia.In this review,we explored the clinical and plaque characteristics of patients with diabetes and early glucose metabolism disorders,the percutaneous coronary intervention strategies for NTLs,and their prognostic implications.Furthermore,we investigated the mechanistic links between adverse cardiovascular outcomes and elevated inflammation,oxidative stress,hypercoagulability,and endothelial dysfunction.展开更多
基金Key Research and Development Plan of Shaanxi Province(2023-YBGY-493)。
文摘As-forged WSTi6421 titanium alloy billet afterβannealing was investigated.Abnormally coarse grains larger than adjacent grains could be observed in the microstructures,forming abnormal grain structures with uneven size distribution.Through electron backscattered diffraction(EBSD),the forged microstructure at various locations of as-forged WSTi6421 titanium alloy billet was analyzed,revealing that the strength of theβphase cubic texture generated by forging significantly influences the grain size afterβannealing.Heat treatment experiments were conducted within the temperature range from T_(β)−50°C to T_(β)+10°C to observe the macro-and micro-morphologies.Results show that the cubic texture ofβphase caused by forging impacts the texture of the secondaryαphase,which subsequently influences theβphase formed during the post-βannealing process.Moreover,the pinning effect of the residual primaryαphase plays a crucial role in the growth ofβgrains during theβannealing process.EBSD analysis results suggest that the strength ofβphase with cubic texture formed during forging process impacts the orientation distribution differences ofβgrains afterβannealing.Additionally,the development of grains with large orientations within the cubic texture shows a certain degree of selectivity duringβannealing,which is affected by various factors,including the pinning effect of the primaryαphase,the strength of the matrix cubic texture,and the orientation relationship betweenβgrain and matrix.Comprehensively,the stronger the texture in a certain region,the less likely the large misoriented grains suffering secondary growth,thereby aggregating the difference in microstructure and grain orientation distribution across different regions afterβannealing.
基金supported by the National Natural Science Foundation of China(No.82171599 and No.32270901)the National Key Research and Developmental Program of China(2022YFC2702601 and 2022YFA0806303)the Global Select Project(DJKLX-2022010)of the Institute of Health and Medicine,Hefei Comprehensive National Science Center.
文摘Male infertility can result from impaired sperm motility caused by multiple morphological abnormalities of the flagella(MMAF).Distinct projections encircling the central microtubules of the spermatozoal axoneme play pivotal roles in flagellar bending and spermatozoal movement.Mammalian sperm-associated antigen 17(SPAG17)encodes a conserved axonemal protein of cilia and flagella,forming part of the C1a projection of the central apparatus,with functions related to ciliary/flagellar motility,skeletal growth,and male fertility.This study investigated two novel homozygous SPAG17 mutations(M1:NM_206996.2,c.829+1G>T,p.Asp212_Glu276del;and M2:c.2120del,p.Leu707*)identified in four infertile patients from two consanguineous Pakistani families.These patients displayed the MMAF phenotype confirmed by Papanicolaou staining and scanning electron microscopy assays of spermatozoa.Quantitative real-time polymerase chain reaction(PCR)of patients’spermatozoa also revealed a significant decrease in SPAG17 mRNA expression,and immunofluorescence staining showed the absence of SPAG17 protein signals along the flagella.However,no apparent ciliary-related symptoms or skeletal malformations were observed in the chest X-rays of any of the patients.Transmission electron microscopy of axoneme cross-sections from the patients showed incomplete C1a projection and a higher frequency of missing microtubule doublets 1 and 9 compared with those from fertile controls.Immunofluorescence staining and Western blot analyses of spermatogenesis-associated protein 17(SPATA17),a component of the C1a projection,and sperm-associated antigen 6(SPAG6),a marker of the spring layer,revealed disrupted expression of both proteins in the patients’spermatozoa.Altogether,these findings demonstrated that SPAG17 maintains the integrity of spermatozoal flagellar axoneme,expanding the phenotypic spectrum of SPAG17 mutations in humans.
文摘The rapid integration of Internet of Things(IoT)technologies is reshaping the global energy landscape by deploying smart meters that enable high-resolution consumption monitoring,two-way communication,and advanced metering infrastructure services.However,this digital transformation also exposes power system to evolving threats,ranging from cyber intrusions and electricity theft to device malfunctions,and the unpredictable nature of these anomalies,coupled with the scarcity of labeled fault data,makes realtime detection exceptionally challenging.To address these difficulties,a real-time decision support framework is presented for smart meter anomality detection that leverages rolling time windows and two self-supervised contrastive learning modules.The first module synthesizes diverse negative samples to overcome the lack of labeled anomalies,while the second captures intrinsic temporal patterns for enhanced contextual discrimination.The end-to-end framework continuously updates its model with rolling updated meter data to deliver timely identification of emerging abnormal behaviors in evolving grids.Extensive evaluations on eight publicly available smart meter datasets over seven diverse abnormal patterns testing demonstrate the effectiveness of the proposed full framework,achieving average recall and F1 score of more than 0.85.
文摘BACKGROUND 2D-echocardiography(2DE)has been the primary imaging modality in children with Kawasaki disease(KD)to assess coronary arteries.AIM To report the presence and implications of incidental congenital coronary artery anomalies that had been misinterpreted as coronary artery abnormalities(CAAs)on 2DE.METHODS Records of children diagnosed with KD,who underwent computed tomography coronary angiography(CTCA)at our center between 2013-2023 were reviewed.We identified 3 children with congenital coronary artery anomalies in this cohort on CTCA.Findings of CTCA and 2DE were compared in these 3 children.RESULTS Of the 241 patients with KD who underwent CTCA,3(1.24%)had congenital coronary artery anomalies on CTCA detected incidentally.In all 3 patients,baseline 2DE had identified CAAs.CTCA was then performed for detailed evaluation as per our unit protocol.One(11-year-boy)amongst the 3 patients had complete KD,while the other two(3.3-year-boy;4-month-girl)had incomplete KD.CTCA revealed separate origins of left anterior descending artery and left circumflex from left sinus[misinterpreted as dilated left main coronary artery(LCA)on 2DE],single coronary artery(interpreted as dilated LCA on 2DE)and dilated right coronary artery on 2DE in case of anomalous origin of LCA from the main pulmonary artery.The latter one was subsequently operated upon.CONCLUSION CTCA is essential for detailed assessment of coronary arteries in children with KD especially in cases where there is suspicion of congenital coronary artery anomalies.Relying solely on 2DE may not be sufficient in such cases,and findings from CTCA can significantly impact therapeutic decision-making.
基金supported by the Science and Technology Commission of Shanghai Municipality (grant no.22Y11900300)China Primary Health Care Foundation (grant no.MTP2022A0132)Project of Shanghai Administration of Traditional Chinese Medicine (ZXXT-202213)to EQM and LM。
文摘BACKGROUND:This study aimed to explore the importance of routine coagulation tests for the early detection of sepsis and to quickly identify patients at a high risk of mortality.METHODS:This retrospective single-center study collected data from patients meeting the clinical criteria for systemic inflammatory response syndrome(SIRS) with a confirmed infection source.Patients with coagulation disorders or on medications affecting coagulation were excluded.Patients were divided into sepsis and non-sepsis groups based on a Sequential Organ Failure Assessment(SOFA) score of ≥2.Univariate and multivariate logistic regression identified indicators from routine coagulation tests that predict sepsis.Prognostic roles of coagulation indicators were analyzed within the sepsis group.RESULTS:A total of 512 patients were included,with 396 in the sepsis group and 116 in the non-sepsis group.The predictive factors in the sepsis prediction model encompass fibrin degradation products(FDP),D-dimer,lactate,procalcitonin(PCT) levels and the utilization of mechanical ventilation.Early elevation of FDP and D-dimer levels predicted sepsis onset.The model exhibited an area under the curve(AUC) of 0.943(95% CI:0.923–0.963).In the sepsis group,Cox regression analysis revealed an association between prothrombin time(PT) and in-hospital mortality.CONCLUSION:Abnormal high FDP and D-dimer levels in the early stages of sepsis provide a supplementary method for predicting sepsis.As the disease progresses,prolonged PT in the early stages of sepsis suggests a poor prognosis.
基金supported by the National Natural Science Foundation of China(NSFC)under grant No.62371187the Hunan Provincial Natural Science Foundation of China under Grant Nos.2024JJ8309 and 2023JJ50495.
文摘The integration of cloud computing into traditional industrial control systems is accelerating the evolution of Industrial Cyber-Physical System(ICPS),enhancing intelligence and autonomy.However,this transition also expands the attack surface,introducing critical security vulnerabilities.To address these challenges,this article proposes a hybrid intrusion detection scheme for securing ICPSs that combines system state anomaly and network traffic anomaly detection.Specifically,an improved variation-Bayesian-based noise covariance-adaptive nonlinear Kalman filtering(IVB-NCA-NLKF)method is developed to model nonlinear system dynamics,enabling optimal state estimation in multi-sensor ICPS environments.Intrusions within the physical sensing system are identified by analyzing residual discrepancies between predicted and observed system states.Simultaneously,an adaptive network traffic anomaly detection mechanism is introduced,leveraging learned traffic patterns to detect node-and network-level anomalies through pattern matching.Extensive experiments on a simulated network control system demonstrate that the proposed framework achieves higher detection accuracy(92.14%)with a reduced false alarm rate(0.81%).Moreover,it not only detects known attacks and vulnerabilities but also uncovers stealthy attacks that induce system state deviations,providing a robust and comprehensive security solution for the safety protection of ICPS.
基金supported by Ho Chi Minh City Open University,Vietnam under grant number E2024.02.1CD and Suan Sunandha Rajabhat University,Thailand.
文摘The Financial Technology(FinTech)sector has witnessed rapid growth,resulting in increasingly complex and high-volume digital transactions.Although this expansion improves efficiency and accessibility,it also introduces significant vulnerabilities,including fraud,money laundering,and market manipulation.Traditional anomaly detection techniques often fail to capture the relational and dynamic characteristics of financial data.Graph Neural Networks(GNNs),capable of modeling intricate interdependencies among entities,have emerged as a powerful framework for detecting subtle and sophisticated anomalies.However,the high-dimensionality and inherent noise of FinTech datasets demand robust feature selection strategies to improve model scalability,performance,and interpretability.This paper presents a comprehensive survey of GNN-based approaches for anomaly detection in FinTech,with an emphasis on the synergistic role of feature selection.We examine the theoretical foundations of GNNs,review state-of-the-art feature selection techniques,analyze their integration with GNNs,and categorize prevalent anomaly types in FinTech applications.In addition,we discuss practical implementation challenges,highlight representative case studies,and propose future research directions to advance the field of graph-based anomaly detection in financial systems.
基金Supported by Noor Ophthalmology Research Center.
文摘This study aimed to differentiate between the therapeutic and purely cosmetic aspects of keratopigmentation by examining the results of previous studies.Corneal opacity,corneal leukoma,and iris abnormalities represent the primary reasons for keratopigmentation in therapeutic settings.In therapeutic contexts,the most commonly reported adverse effects included inflammation,foreign body sensation,light sensitivity,reduced intraocular pressure,and neovascularization.The side effects most frequently noted in purely cosmetic applications were photophobia and ectasia.In therapeutic scenarios,patients who experience pre-operative vision impairment often report not only the absence of visual loss post-procedure but also an enhancement in visual acuity,accompanied by alleviation of symptoms such as glare.In purely cosmetic procedures,visual acuity tends to remain stable.Research indicates that dissatisfaction with keratopigmentation results is more prevalent in studies aimed at therapeutic interventions compared to cosmetic enhancements.Furthermore,instances of discoloration and fading are more frequently observed in therapeutic cases than in cosmetic ones,including the need for retouching.The use of keratopigmentation in both therapeutic and cosmetic settings produces positive and acceptable results,especially in cosmetic applications.Nevertheless,complications are more commonly observed in therapeutic situations,which underscores the importance of candidate selection for keratopigmentation procedures.
基金Supported by University Hospital of Giessen and Marburg(UKGM)-Justus-Liebig-University(JLU)-Cooperation Grant,No.7/2016 GIthe Else Kröner-Fresenius-Stiftung,No.2016_A90and the German Research Foundation,No.544054869.
文摘BACKGROUND Here,we report a case of jejunal diverticulosis from an anatomical and histological view.During the“Gross Anatomy course,”we found multiple jejunal diverticula along a total length of 208 cm of intestine.CASE SUMMARY After opening the intestinal tract,we counted 232 jejunal diverticulum entry points with a diameter of up to 2 cm and observed connections between the diverticula that created shortcuts between two distinct intestinal parts.Interestingly,we observed an extreme longitudinal striation on the intestinal parts hosting diverticula.Thorough vessel preparation utilizing a dissecting microscope confirmed that all investigated arteriae rectae ended in a diverticulum.Histological and immunohistochemical investigations revealed that intestinal villi of diverticula were smaller and less prominent than control tissue and that the stratum longitudinale,as well as the stratum circular,were much thinner in the diverticula compared to control tissue.Neither submucosal nor mesenteric plexus could be detected in the diverticula.However,vasoactive intestinal peptidepositive nerve fibers and villin-positive brush border could only be detected in control tissue.This indicates that jejunal diverticulosis is associated with abnormalities of the smooth muscles and a disorder of innervation.CONCLUSION Jejunal diverticulosis originates from mesenteric vessels,featuring smooth muscle changes,absent innervation,and thinning of tissue layers.
文摘BACKGROUND Nervonic acid(NA,C24:1,w9)is a monounsaturated fatty acid that plays a crucial role in myelination and motor function.It also regulates cognitive and metabolic functions,suggesting that impaired NA metabolism may contribute to the pathophysiology of schizophrenia.Although several studies have measured erythrocyte membrane NA in first-episode psychosis(FEP),findings are conflicting,and the fate of NA in patients with chronic schizophrenia(CSZ)or under long-term antipsychotic treatment schedules remains unknown.AIM To measure erythrocyte membrane NA and determine its association with psychopathology and metabolic parameters in drug-naive patients with FEP and antipsychotic-treated patients with CSZ.METHODS In this study,twenty-one drug-naive patients with FEP,twenty patients with CSZ treated with atypical antipsychotics,and fourteen healthy male subjects were analyzed.Erythrocyte membrane NA was measured using ultrathin capillary gas chromatography,plasma leptin was measured using enzyme-linked immunosorbent assay,and body mass index(BMI)was calculated by using the formula:Weight(kg)/height(m^(2)).Psychiatric symptoms were evaluated using the brief psychiatry rating scale and the positive and negative syndrome scale(PANSS).Pearson correlation coefficient(r)was computed to find the association between erythrocyte membrane NA,PANSS scores,plasma leptin,and BMI.RESULTS In patients with FEP,erythrocyte NA was non-significantly increased(about 12%)and negatively correlated with negative symptoms(PANSS-negative symptom scores,r=-0.4323,P=0.023)but not with positive symptoms(PANSS-positive symptom scores,r=-0.2915,P=0.09).In patients with CSZ,erythrocyte NA was reduced considerably(about 40%,P<0.001 vs FEP and about 30%vs control(CNT)subjects,P=0.037)and negatively correlated with both PANSS-negative symptom scores(r=-0.4562,P=0.013)and PANSS-positive symptom scores(r=-0.3911,P=0.041).Additionally,in patients with FEP,erythrocyte NA was not significantly correlated either with BMI(r=-0.2532,P=0.231)or plasma leptin(r=-0.3001,P=0.102).However,in patients with CSZ,it did negatively correlate with both BMI(r=-0.4721,P=0.029)and plasma leptin(r=-0.4701,P=0.031).CONCLUSION Erythrocyte membrane NA level could be used for predicting the development of metabolic abnormalities,treatment resistance,and prognosis in schizophrenia.
文摘This mini-review explores the transformative potential of artificial intelligence(AI)in improving the diagnosis,management,and long-term care of congenital heart diseases(CHDs).AI offers significant advancements across the spectrum of CHD care,from prenatal screening to postnatal management and long-term monitoring.Using AI algorithms,enhanced fetal echocardiography,and genetic tests improves prenatal diagnosis and risk stratification.Postnatally,AI revolutionizes diagnostic imaging analysis,providing more accurate and efficient identification of CHD subtypes and severity.Compared with traditional methods,advanced signal processing techniques enable a more precise assessment of hemodynamic parameters.AI-driven decision support systems tailor treatment strategies,thereby optimizing therapeutic interventions and predicting patient outcomes with greater accuracy.This personalized approach leads to better clinical outcomes and reduced morbidity.Furthermore,AI-enabled remote monitoring and wearable devices facilitate ongoing surveillance,thereby enabling early detection of complications and provision of prompt interventions.This continuous monitoring is crucial in the immediate postoperative period and throughout the patient’s life.Despite the immense potential of AI,challenges remain.These include the need for standardized datasets,the development of transparent and understandable AI algorithms,ethical considerations,and seamless integration into existing clinical workflows.Overcoming these obstacles through collaborative data sharing and responsible implementation will unlock the full potential of AI to improve the lives of patients with CHD,ultimately leading to better patient outcomes and improved quality of life.
基金supported by the Jingneng Shiyan Thermal Power Co.,Ltd.(TPRI/TR-CA-006-2023)Huaihe Energy Power Group Co.,Ltd.(TPRI/TR-CA-040-2023)Xi'an Thermal Power Research Institute Co.,Ltd.(TPRI/TR-CA-110-2021A/H1).
文摘Thermal power generation systems have stringent requirements for water and steam quality,i.e.,condensate water quality is one of the critical issues.In this paper,we designed a two-layer model based on an autoencoder and expert knowledge to achieve the early warning and causal analysis of condensate water quality abnormalities.An early warning model using an autoencoder model is built based on the historical data affecting the condensate water quality.Next,an analytical model of condensate water quality abnormalities was then developed by combining expert knowledge and trend test algorithms.Two different datasets were used to test the proposed model,respectively.The accuracy of the autoencoder model in the short-period test set is 88.83%,which shows that the early warning model can accurately analyze the condensate water quality data and achieve the purpose of early warning.For the long-time period test set,the model can correctly identify each abnormality and simultaneously indicates the cause of the abnormal condensate water quality.The proposed model can correctly identify abnormal working conditions and it is applicable to other thermal power plants.
文摘Schizophrenia is a multifaceted neurodevelopmental disorder characterized by hallucinations,delusions,cognitive deficits,and emotional dysregulation.The prefrontal cortex(PFC),essential for executive functions,working memory,and emotional regulation,is notably impaired in this condition.This review consolidates current insights into the role of PFC dysfunction in schizophrenia,with a focus on its implications for therapeutic strategies.The neuroanatomical and neurobiological foundations of PFC dysfunction are explored,emphasizing structural abnormalities,functional dysconnectivity,and microcircuit disruptions that contribute to cognitive deficits and impaired decision-making.Clinical implications are discussed,particularly the correlation between PFC dysfunction and the severity and progression of schizophrenia symptoms.Additionally,pharmacological and non-pharmacological approaches aimed at modulating PFC activity are reviewed as potential therapeutic options.In conclusion,a deeper understanding of PFC dysfunction is pivotal for developing targeted treatments,and ongoing research offers promising avenues for enhancing outcomes for individuals affected by this debilitating disorder.
基金The Medical Education Research Program of Henan Province,China(Grant No.WJLX2023015)and the Chinese International Medical Foundation for Clinical Pharmacy,China(Grant No.Z-2021-46-2101).
文摘To investigate the correlation between propacetamol and postoperative liver enzyme abnormalities among patients,a retrospective analysis was conducted on inpatients in the thoracic surgery department spanning from January 1 to June 30,2023.Causality assessment regarding propacetamol and postoperative liver enzyme abnormalities was performed using the updated Roussel Uclaf Causality Assessment Method(RUCAM).Furthermore,independent risk factors for liver enzyme abnormalities were identified through both univariate and multivariate analyses,followed by the construction and validation of a clinical nomogram.A total of 247 patients who received propacetamol were ultimately included in the study.Liver enzyme abnormalities post-surgery were more accurately predicted by considering the daily dose of propacetamol and the number of medications(OR(95%CI),4.831(2.797,8.344),P<0.001;10.007(3.878,25.823),P<0.001).A clinical predictive nomogram model was developed,incorporating these two independent risk factors,which exhibited favorable discrimination(AUC(95%CI),0.811(0.750,0.872)),calibration,and decision curve analysis(DCA)demonstrating the highest net benefits across a broad spectrum of threshold probabilities(10%to 90%).The daily dose of propacetamol and the number of medications were found to be independently associated with postoperative liver enzyme abnormalities.This user-friendly nomogram,comprising these two factors,might assist clinicians in assessing the risks of propacetamol-related liver dysfunction following surgery.
基金Project(52005362) supported by the National Natural Science Foundation of ChinaProjects(202303021221005,202303021211045) supported by the Natural Science Foundation of Shanxi Province,China+1 种基金Project(202402003) supported by the Patent Commercialization Program of Shanxi Province,ChinaProject supported by the Key Research and Development Plan of Xinzhou City,China。
文摘The deformation behavior of hot-rolled AZ31 magnesium(Mg)alloy sheet was analyzed when subjected to uniaxial tension along its normal direction at temperatures ranging from 100 to 400℃and strain rates ranging from 0.5 to 100 mm/min.Based on the stress−strain curves and the dynamic material model,the hot processing map was established,which demonstrates that the power dissipation factor(η)is the most sensitive to strain rate at 400℃via absorption of dislocations.At 400℃,sample at 0.5 mm/min possessesηof 0.89 because of its lower kernel average misorientation(KAM)value of 0.51,while sample at 100 mm/min possessesηof 0.46 with a higher KAM value of 1.147.In addition,the flow stress presents a slight decrease of 25.94 MPa at 10 mm/min compared to that at 100 mm/min and 100℃.The reasons are twofold:a special~34°texture component during 100℃-100 mm/min favoring the activation of basal slip,and dynamic recrystallization(DRX)also providing softening effect to some extent by absorbing dislocations.Difference in activation of basal slip among twin laminas during 100℃-100 mm/min results in deformation inhomogeneity within the grains,which generates stress that helps matrix grains tilt to a direction favorable to basal slip,forming the special~34°texture component.
基金supports from The National Natural Science Foundation of China (Nos. 52222409, U24A20104 and 52401049)The National Key Research and Development Program (No. 2024YFB3408900) are greatly acknowledgedPartial financial support came from the Fundamental Research Funds for the Central Universities, JLU
文摘Abnormal grain growth(AGG),a prevalent phenomenon in dilute magnesium(Mg)alloys during elevated-temperature processing,significantly compromises mechanical performance through microstructural degradation.This study investigates AGG evolution in a heat-treatable Mg-1Al-0.3Ca-0.5Mn(wt.%)alloy,revealing its fundamental mechanism through phase interaction analysis.The AGG initiation is predominantly driven by Zener pinning force attenuation around abnormally coarsened Al_(8)Mn_(5) precipitates.Mechanistically,this heterogeneous coarsening stems from preferential Al_(8)Mn_(5) phase growth kinetics adjacent to Al_(2)Ca phase during homogenization treatment,creating localized pinning force discontinuities.However,addition of 0.2 wt.%Gd facilitates phase transformation from Al_(8)Mn_(5) to thermally stable Al_(8)Mn_(4)Gd with lower Gibbs free energy,thereby promoting a more uniform and refined precipitate distribution.Consequently,the Gd-containing alloy exhibits enhanced grain thermal stability,maintaining a refined microstructure with average grain size of∼7.7μm even after T4 treatment at 500℃ for 1 h,which simultaneously improves strength and ductility compared to the Gd-free alloy.
文摘BACKGROUND Refractory ascites(RA)and spontaneous bacterial peritonitis(SBP)are severe complications of decompensated cirrhosis,contributing to high morbidity and mortality.RA develops when ascites persists despite maximum diuretic therapy,while SBP arises from bacterial translocation and immune dysfunction in cirrhotic patients with ascites.Identifying key risk factors associated with these conditions is crucial for early intervention and improved patient outcomes.AIM To assess clinical and biochemical predictors of RA and SBP in a cohort of hospitalized patients with cirrhotic ascites.METHODS A retrospective chart review was conducted on patients with cirrhotic ascites diagnosed with RA or SBP at University Medical Center,El Paso,from July 1,2013 to December 31,2023.Patient demographics,clinical history,laboratory parameters,ascitic fluid analysis,and cirrhosis severity scores[Model for End-Stage Liver Disease-Sodium(MELD-Na)and Child-Pugh]were recorded.Statistical analyses,including multivariate logistic regression,were performed to identify independent predictors of RA and SBP,with a significance threshold of P<0.05.RESULTS A total of 179 patients were included,with a mean age of 59.08±13.04 years,predominantly male(55.9%)and Hispanic(98.3%).The most common etiology of cirrhosis was alcohol-related liver disease(45.3%),and most patients had Grade III ascites(95.5%).Among them,115(64.2%)had RA,and 57(31.8%)had SBP.RA was significantly associated with abnormal serum potassium levels[odds ratio(OR)=2.27,95%CI:1.06–4.84,P=0.034],while SBP was independently predicted by gastrointestinal bleeding(OR=2.59,95%CI:1.18–5.64,P=0.017)and thrombocytopenia(platelet count<50000;OR=3.27,95%CI:1.08–9.88,P=0.035).CONCLUSION RA and SBP are major complications of cirrhosis,with electrolyte imbalances and coagulopathy playing key roles in their development.Our study confirms that abnormal potassium levels significantly predict RA,while gastrointestinal bleeding and thrombocytopenia are strong predictors of SBP.These findings emphasize the need for early risk stratification and targeted management strategies to improve outcomes in high-risk cirrhotic patients,particularly in minority populations with limited healthcare access.Further prospective studies are warranted to validate these results and explore potential interventions to reduce RA and SBP incidence.
基金funded by the National Key Research and Development Program of China(No.2021YFF1200901)the National Natural Science Foundation of China(Nos.61721003,62133006,and 92268104)。
文摘The liver performs several vital functions such as metabolism,toxin removal,and glucose storage through the coordination of various cell types.With the recent breakthrough of the single-cell/single-nucleus RNAseq(sc/snRNA-seq)techniques,there is a great opportunity to establish a reference cell map of the liver at single-cell resolution with transcriptome-wise features.In this study,we build a unified liver cell atlas uniLIVER(http://lifeome.net/database/uniliver)by integrative analysis of a large-scale sc/snRNA-seq data collection of normal human liver with 331,125 cells and 79 samples from 6 datasets.Moreover,we introduce LiverCT,a machine learning based method for mapping any query dataset to the liver reference map by introducing the definition of“variant”cellular states analogous to the sequence variants in genomic analysis.Applying LiverCT on liver cancer datasets,we find that the“deviated”states of T cells are highly correlated with the stress pathway activities in hepatocellular carcinoma,and the enrichments of tumor cells with the hepatocyte-cholangiocyte“intermediate”states significantly indicate poor prognosis.Besides,we find that the tumor cells of different patients have different zonation tendencies and this zonation tendency is also significantly associated with the prognosis.This reference atlas mapping framework can also be extended to any other tissues.
基金supported by the General Project of Guangxi Natural Science Foundation grant number[2020GXNSFAA297088]the Hezhou Science Research and Development Plan Project grant number[2024143]the Basic Research Ability Enhancement Project for Young and Middle-aged Teachers at Guangxi Universities grant number[2024KY1877].
文摘Karst caves are among the most common and critical geological hazards in karst regions.Due to their marked differences in physical properties compared to the surrounding rock,they can be detected using various geophysical techniques.Karsts have developed on the surface of the Qingshuitang Wollastonite Mining Area in Huangtian Town,Hezhou City,Guangxi Province.In line with mine safety production requirements,a professional assessment of the potential development of karst caves must be conducted within 150 m of the mining area’s surface.Following an on-site investiga-tion and comparison with traditional geophysical methods,seismic frequency resonance technology(Seismic FRT)was selected for detection due to its convenience,flexibility,cost-effectiveness,and rapid data acquisition capabilities.Contour maps of the apparent wave impedance and geological profiles along the survey lines were obtained through data collection and processing.In combination with surface karst and mining geology,32 karst caves(hidden danger points)and 15 karst development zones were identified.Drilling verification was conducted at the A428 and B122 anomalous points on the A1# and B1# survey lines.The verification results were consistent with the inferred depths and maximum apparent wave impedance anomalies,confirming that Seismic FRT is a feasible and effective method for detecting hid-den karst development areas in mines.
文摘The introduction of drug-eluting stents has significantly reduced the incidence of in-stent restenosis.Despite this,recurrent cardiovascular events related to untreated nontarget lesions(NTLs)are becoming more common and accounting for more than 50%of all recurrent cardiovascular events.In patients with dia-betes,factors such as prolonged disease duration,poor glycemic control,insulin use,and inadequate lipid management may exacerbate the progression of NTLs and adverse cardiovascular events.Additionally,glycemic fluctuations have been linked to an increased risk of future cardiovascular events in patients with early glucose metabolism abnormalities and acute hyperglycemia.In this review,we explored the clinical and plaque characteristics of patients with diabetes and early glucose metabolism disorders,the percutaneous coronary intervention strategies for NTLs,and their prognostic implications.Furthermore,we investigated the mechanistic links between adverse cardiovascular outcomes and elevated inflammation,oxidative stress,hypercoagulability,and endothelial dysfunction.
