Leaf morphology is an important agronomic trait that affects photosynthetic efficiency and plant architecture.Some KNOXI(ClassⅠKNOTTED1-LIKE HOMEOBOX)or CIN-TCP(CINCINNATA-LIKE TEOSINTE BRANCHED1,CYCLOIDEA,and PROLIF...Leaf morphology is an important agronomic trait that affects photosynthetic efficiency and plant architecture.Some KNOXI(ClassⅠKNOTTED1-LIKE HOMEOBOX)or CIN-TCP(CINCINNATA-LIKE TEOSINTE BRANCHED1,CYCLOIDEA,and PROLIFERATING CELL FACTORS)transcription factors control leaf development by influencing GA(gibberellin)content.However,the knowledge about their interaction in regulating leaf morphogenesis is still scarce,especially in woody fruit plants such as citrus.In this study,we found that the expression of CsTCP13(a citrus CIN-TCP gene)dramatically decreased with a decreasing leaf length-width ratio in citrus.Transiently silencing CsTCP13 in citrus produced wider leaves and significantly decreased Cs GA20ox1(a key citrus GA20-oxidase gene for GA biosynthesis)expression and GAs(GA3,GA4,and GA7)contents.Conversely,stable overexpression of CsTCP13 in tobacco generated narrower leaves and significantly increased GA20ox1 expression and GA1content;it also significantly shortened the distance between veins and reduced the number of epidermal cells per unit area of leaf.Moreover,transactivation assays showed that CsTCP13 had transcriptional activation,and yeast two-hybrid,split-luciferase complementation,and bimolecular fluorescence complementation assays confirmed that CsTCP13 interacted with CsKNAT1(a citrus KNOXI protein).Furthermore,yeast one-hybrid and dual-luciferase assays validated that CsTCP13 promoted while CsKNAT1 and its interacting protein CsKNAT6 inhibited Cs GA20ox1 expression by binding to its promoter.Interestingly,CsKNAT1 or the CsKNAT1-CsKNAT6 complex interacted with CsTCP13 to attenuate its promotion effect on Cs GA20ox1 expression.Taken together,our findings revealed a novel regulatory mechanism that CsTCP13 regulates citrus leaf width through directly influencing Cs GA20ox1 expression and then GA content,which can be negatively affected by the interaction with CsKNAT1 or the CsKNAT1-CsKNAT6 complex.展开更多
Width spread is a critical quality indicator in the hot strip rolling(HSR)manufacturing process.To improve prediction accuracy,a physics-informed machine learning framework with residual learning(PI-MLRL)is proposed,i...Width spread is a critical quality indicator in the hot strip rolling(HSR)manufacturing process.To improve prediction accuracy,a physics-informed machine learning framework with residual learning(PI-MLRL)is proposed,in which a mechanism model,a light gradient boosting machine(LightGBM)-based residual learning module,and a physics-constrained distillation mechanism are integrated.By combining physical consistency with nonlinear fitting capability,an accurate mapping between process variables and width spread is achieved.Experimental results show that the proposed framework outperforms the mechanism model and seven representative data-driven models in terms of mean absolute error,root-mean-square error,and coefficient of determination.Moreover,Shapley additive explanations(SHAP)method is employed for interpretable diagnostics of PI-MLRL predictions,clarifying the effects of key variables on width spread under different operating conditions.Finally,the proposed framework was deployed on a 2160-mm HSR production line,and application results showed that the width spread prediction error was maintained within±3 mm,thereby confirming its engineering applicability.展开更多
Investigating the detonation reaction zone structures of high explosives is significant for understanding detonation reaction mechanism.This study employed an integrated approach combining machine learning prediction,...Investigating the detonation reaction zone structures of high explosives is significant for understanding detonation reaction mechanism.This study employed an integrated approach combining machine learning prediction,theoretical calculation,and experimental characterization to determine the detonation reaction zone width of CL-20-based aluminized explosive.In this study,the detonation reaction zone refers to the reaction zone between the von Neumann(VN)peak and sonic point,which usually means the so-called detonation driving zone(DDZ).For the machine learning prediction,an ensemble model integrating Random Forest and Support Vector Regression was developed to predict the reaction zone width using a dataset of 19 publicly available samples.For the theoretical calculation,the Wood-Kirkwood(W-K)detonation theory model was utilized to implement numerical calculation of the reaction zone structures,incorporating chemical reaction kinetics to describe the detonation reaction progress.In experimental characterization,the Photon Doppler Velocimetry(PDV)was applied with LiF as the optical window to measure the particle velocity profile of detonation products and derive the reaction zone width.The results indicate that the reaction zone width values are 0.25 mm,0.28 mm,and 0.26 mm obtained from machine learning prediction,theoretical calculation,and experimental characterization,respectively.The corresponding velocities at the Chapman-Jouguet(CJ)point are 1,938 m/s,2,047 m/s,and 1,982 m/s,respectively.The maximum relative deviation in reaction zone width among three methods is approximately 7.7%,while that for CJ particle velocity is approximately 3.3%.These results from all three methods agree well within engineering error.This validates the effectiveness of integrating machine learning prediction,theoretical calculation and advanced experimental techniques for studying the detonation reaction zone structures of high explosives.This research provides insights into the detonation reaction mechanism and reaction zone characteristics of CL-20-based aluminized explosive.展开更多
Developing predictive models for rock avalanche runout is crucial for hazard risk mitigation and management,while also deepening the understanding of rock avalanche dynamics.In this study,a database of 63 representati...Developing predictive models for rock avalanche runout is crucial for hazard risk mitigation and management,while also deepening the understanding of rock avalanche dynamics.In this study,a database of 63 representative rock avalanches was compiled,and the geometric characteristics of these events were analyzed.Traditional regression methods were compared with neural network regression(NNR)approaches to find the optimal model.Model parameters,loss functions,and evaluation metrics were examined to determine optimal configurations.Based on correlation analyses and model performance,this study recommends the use of source area width as an alternative to failure volume in runout prediction models,effectively addressing the common challenge of estimating avalanche volume.Ultimately,an NNR-based model,utilizing mean squared logarithmic error as the loss function and incorporating source area width and fall height as input parameters,was identified as the optimal approach.This model achieved prediction errors within a−50% to 50% range with 95.2% probability,yielding a mean absolute percentage error of 23.22% and an R2 of 0.85.These findings enhance rock avalanche prediction methodologies,providing more accurate tools for assessing the potential impact zones of destructive geological events.展开更多
Microwave ablation(MWA)is a minimally invasive technique for treating hepatic tumors,necessitating precise monitoring to ensure treatment efficacy and minimize damage to surrounding tissues.This study explores the pot...Microwave ablation(MWA)is a minimally invasive technique for treating hepatic tumors,necessitating precise monitoring to ensure treatment efficacy and minimize damage to surrounding tissues.This study explores the potential of photoacoustic imaging(PAI)in monitoring MWA by examining ex vivo porcine liver tissues.In this study,a comprehensive analysis of photoacoustic signals was performed to compare the main lobe width(MLW)between ablated and normal regions in porcine liver tissue.Histological staining with succinate dehydrogenase(SDH)and shear wave elastography(SWE)were employed to validate the changes in tissue elasticity after ablation.The analysis demonstrated a notable reduction in the MLW of the average A-lines in ablated tissues compared to nonablated regions(p<0.01).This reduction,attributed to increased tissue density and enhanced elasticity,indicates accelerated sound propagation in thermally ablated areas,which then serves as a critical parameter for mapping tissue characteristics.The reconstruction of the MLW distribution successfully delineated the ablated regions,and was consistent with the results of SDH staining and SWE.In addition,MLW-based imaging exhibited higher spatial resolution compared to SWE.Incorporating MLW analysis into PAI may be a promising strategy to improve the accuracy and effectiveness of MWA monitoring in clinical settings.展开更多
This study investigates the width of the secondary eyewall(SE)immediately following its formation in tropical cyclones with surface environmental winds aligned and counter-aligned with environmental vertical wind shea...This study investigates the width of the secondary eyewall(SE)immediately following its formation in tropical cyclones with surface environmental winds aligned and counter-aligned with environmental vertical wind shear(VWS),using idealized numerical experiments.Results reveal that the SE develops greater radial extent when surface winds align with VWS compared to counter-aligned conditions.In alignment configurations,shear-enhanced surface winds on the right flank amplify surface enthalpy fluxes,thereby elevating boundary-layer entropy within the downshear outer-core region.Subsequently,more vigorous outer rainbands develop,inducing marked acceleration of tangential winds in the outer core preceding SE formation.The resultant radial expansion of supergradient winds near the boundary-layer top triggers widespread convective activity immediately beyond the inner core.Progressive axisymmetrization of this convective forcing ultimately generates an expansive SE structure.展开更多
The study conducted by Martli et al,on the preoperative risk stratification of malignant potential in pancreatic cystic neoplasms(PCNs),identifies age and red cell distribution width(RDW)as independent predictors.This...The study conducted by Martli et al,on the preoperative risk stratification of malignant potential in pancreatic cystic neoplasms(PCNs),identifies age and red cell distribution width(RDW)as independent predictors.This study offers a simple and cost-effective clinical tool for preoperative assessments.The significance lies in its integration of routine laboratory parameters with clinical features,effectively addressing the limitations associated with the accessibility and operator dependency of imaging and invasive diagnostic methods.However,factors such as the retrospective design,single-center setting,small sample size,and selection bias because of the inclusion of only surgical cases limit the generalizability of the findings.Future studies should emphasize multi-center prospective validation to further clarify the biological role of RDW in the malignant transformation of PCNs and to explore integrated models that combine RDW with imaging characteristics and molecular biomarkers,ultimately enhancing precision in individualized clinical decision-making.展开更多
The purpose of this study was to clarify the effects of different sidewalk widths on the driving characteristics of electric wheelchairs and on the user’s psychology and safety.Eighteen participants drove electric wh...The purpose of this study was to clarify the effects of different sidewalk widths on the driving characteristics of electric wheelchairs and on the user’s psychology and safety.Eighteen participants drove electric wheelchairs on both wide and narrow sidewalks.Data collection included:(1)the number of cyclists and pedestrians passing by,(2)driving speed,(3)an 11-item questionnaire,and(4)a post-test ride interview.The results showed that the number of cyclists and pedestrians they passed and their driving speed were significantly higher on wide sidewalks.On the other hand,on narrow sidewalks,negative evaluations were frequently given,including the difficulty of avoiding steps,slopes,and utility poles,anxiety and psychological tension associated with pedestrian consideration,and difficulty in operation.These results indicate that sidewalk width is not just a physical space,but also an important environmental factor that strongly influences users’anxiety,operational burden,and distance adjustment from pedestrians.Creating a safe and comfortable mobility environment requires both improvements to sidewalk infrastructure and innovations in mobility devices.展开更多
BACKGROUND Red cell distribution width(RDW)measures the red blood cell size variation.Elevated RDW has been associated with various adverse health outcomes,including cardiovascular diseases.AIM To analyze current evid...BACKGROUND Red cell distribution width(RDW)measures the red blood cell size variation.Elevated RDW has been associated with various adverse health outcomes,including cardiovascular diseases.AIM To analyze current evidence on the prognostic significance of high RDW in patients with heart failure(HF).METHODS A comprehensive literature search was conducted across multiple databases,including PubMed,EMBASE,and Google Scholar,up to May 2024.Studies were included if they investigated the relationship between RDW levels and outcomes in HF patients.Compared to those in the lowest quartile.The primary outcome was all-cause mortality.Compared to those in the lowest quartile.Heterogeneity was assessed using the I2 statistic,we assessed the impact of individual studies on the overall estimate using a leave-one-out sensitivity analysis and publication bias was evaluated through a contour-enhanced funnel plot and Luis Furuya-Kanamori(LFK)index.RESULTS Seven studies,including a total of 11460 HF patients,were analyzed.The participants'mean age varied between 60 years and 80 years,with 6562(57.26%)in the lower quartile.Patients in the highest quartile of RDW(>15.21%)had a significantly increased risk of all-cause mortality,with an odds ratio of 1.84(95%CI:1.31-2.57,P<0.001),compared to those in the lowest quartile(RDW:14.1%-15.20%).There was significant variability in the included studies'results(I2=93%,P<0.01),as well as potential publication bias suggested by the high LFK index(8.47).Sensitivity analysis reinforced the robustness of these findings,showing that the results were not unduly influenced by any single study.CONCLUSION This meta-analysis confirms that high RDW is a robust predictor of adverse outcomes in patients with HF,highlighting its potential utility as a simple,cost-effective biomarker for risk stratification.Future research should focus on elucidating the mechanisms underlying this association and exploring the potential benefits of RDWguided therapeutic strategies in HF management.展开更多
The width of rice leaves determines the size of the photosynthetic area.Optimizing rice leaf width can improve the photosynthetic rate,thereby increasing rice yield.In this study,a genome-wide association study(GWAS)w...The width of rice leaves determines the size of the photosynthetic area.Optimizing rice leaf width can improve the photosynthetic rate,thereby increasing rice yield.In this study,a genome-wide association study(GWAS)was conducted by 225 rice germplasm resources to explore the genetic basis of rice flag leaf width(FLW).We identified nine QTLs associated with FLW(qFLWs),with phenotypic contribution rates ranging from 3.17%to 14.37%.Near-isogenic lines(NILs)were developed for fine-mapping of qFLW11,and the function of FLW11 was further verified.We narrowed down q FLW11 to an 87-kb interval,which contains five genes.展开更多
The minimal widths of three bounded subsets of the unit sphere associated to a unit vector in a normed linear space are studied,and three related geometric constants are introduced.New characterizations of inner produ...The minimal widths of three bounded subsets of the unit sphere associated to a unit vector in a normed linear space are studied,and three related geometric constants are introduced.New characterizations of inner product spaces are also presented.From the perspective of minimal width,strongε-symmetry of Birkhoff orthogonality is introduced,and its relation toε-symmetry of Birkhoff orthogonality is shown.Unlike most of the existing parameters of the underlying space,these new constants are full dimensional in nature.展开更多
Intracranial aneurysm(IA)is a prevalent cerebrovascular disease associated with high mortality and disability rates upon rupture.The hemodynamics of IA,which are significantly influenced by geometric parameters,direct...Intracranial aneurysm(IA)is a prevalent cerebrovascular disease associated with high mortality and disability rates upon rupture.The hemodynamics of IA,which are significantly influenced by geometric parameters,directly impact its rupture.This study focuses on investigating the transient flow characteristics in saccular IA models fabricated using a water droplet-based method,specifically examining the influence of neck widths.Particle image velocimetry technique and numerical simulation were employed to investigate the dynamic evolution of flow structures within three IA models.The results reveal that neck width(W)has a substantial effect on flow characteristics in the neck region,subsequently impacting the deep flow inside the sac.Three distinct patterns were observed during flow evolution inside the sac:for W=2 mm,two vortices occur and then disappear with relatively low average flow velocity;for W=4 mm,enhanced effects of a high-speed jet result in periodic pulsatile flow velocity distribution while maintaining stable vortex core position;for W=6 mm,significant changes in flow velocity occur due to size expansion and intensity increase of vortices.These findings demonstrate that neck widths play a complex role in influencing transient flow characteristics within IAs.Overall,this research contributes to further understanding transient flow behaviors in IAs.展开更多
AIM:To assess and compare the utility of neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic inflammation index(SII),and red blood cell distribution width(RDW)as potential biomarkers to pred...AIM:To assess and compare the utility of neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic inflammation index(SII),and red blood cell distribution width(RDW)as potential biomarkers to predict the severity of diabetic retinopathy(DR)in the United States population.METHODS:The observational study enlisted patients diagnosed with DR from the National Health and Nutrition Examination Survey(NHANES)database,spanning the period from 2005 to 2008.The severity of DR was defined according to Early Treatment for Diabetic Retinopathy Study(ETDRs).The effect of NLR,PLR,SII,and RDW on proliferative diabetic retinopathy(PDR)were explored using multivariable logistic regression analysis model.Subgroup analysis and restricted cubic splines(RCS)were conducted to assess the robustness of the correlations across subgroups and to explore nonlinear relationships between four indices and PDR.The receiver operating characteristic(ROC)analysis was employed for the purpose of assessing and evaluating the predictive efficacy of NLR,PLR,SII,and RDW in determining the severity of DR.RESULTS:After adjusting for other confounders(age,gender,race,body mass index,diabetes duration,and HbA1c)in multivariable analysis,a unit increase of PLR×0.1,SII×0.01,and RDW would raise the risk for PDR by 15.6%,22.2%,and 33%,respectively.Particularly,there was a 2.208-fold greater risk of PDR in individuals with an elevated NLR(OR=2.208,95%CI,1.348-3.617,P<0.001).RCS analyses showed positive relationships of four indices and PDR after segmented regression based on their own turning points.The results of ROC analysis revealed that PLR+RDW[area under the curve(AUC)=0.772,95%CI:0.669-0.874]had the best predictive value for PDR,compared with NLR+PLR+SII(AUC=0.697,95%CI:0.570-0.825)or RDW alone(AUC=0.736,95%CI:0.646-0.826).CONCLUSION:The combination of RDW and NLR demonstrates a promising ability to predict the severity of DR across the United States population,and it could be promisingly used in clinics for monitoring the progress of DR.展开更多
BACKGROUND As red blood cell distribution width(RDW)and albumin have been shown to be independent predictors of mortality from various diseases,this study aimed to investigate the effect of the RDW to albumin ratio(RA...BACKGROUND As red blood cell distribution width(RDW)and albumin have been shown to be independent predictors of mortality from various diseases,this study aimed to investigate the effect of the RDW to albumin ratio(RA)as an independent predictor of the prognosis of patients admitted to the coronary care unit(CCU).AIM To use the RDW and albumin level to predict the prognosis of patients in the CCU.METHODS Data were obtained from the Medical Information Mart Intensive Care III database.The primary outcome was 365-day all-cause mortality,whereas the secondary outcomes were 30-and 90-day all-cause mortality,hospital length of stay(LOS),and CCU LOS.Cox proportional hazards regression model,propen-sity score matching,and receiver operating characteristic curve analyses were used.RESULTS The hazard ratio(95%confidence interval)of the upper tertile(RA>4.66)was 1.62(1.29 to 2.03)when compared with the reference(RA<3.84)in 365-day all-cause mortality.This trend persisted after adjusting for demographic and clinical variables in the propensity score-matching analysis.Similar trends were observed for the secondary outcomes of hospital and CCU LOS.Receiver operating characteristic curve analysis was performed by combining the RA and sequential organ failure assessment(SOFA)scores,and the C-statistic was higher than that of the SOFA scores(0.733 vs 0.702,P<0.001).CONCLUSION RA is an independent prognostic factor in patients admitted to the CCU.RA combined with the SOFA score can improve the predictive ability of the SOFA score.However,our results should be verified in future prospective studies.展开更多
BACKGROUND Post-hepatectomy liver failure(PHLF)after liver resection is one of the main complications causing postoperative death in patients with hepatocellular carcinoma(HCC).It is crucial to help clinicians identif...BACKGROUND Post-hepatectomy liver failure(PHLF)after liver resection is one of the main complications causing postoperative death in patients with hepatocellular carcinoma(HCC).It is crucial to help clinicians identify potential high-risk PHLF patients as early as possible through preoperative evaluation.AIM To identify risk factors for PHLF and develop a prediction model.METHODS This study included 248 patients with HCC at The Second Affiliated Hospital of Air Force Medical University between January 2014 and December 2023;these patients were divided into a training group(n=164)and a validation group(n=84)via random sampling.The independent variables for the occurrence of PHLF were identified by univariate and multivariate analyses and visualized as nomograms.Ultimately,comparisons were made with traditional models via receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).RESULTS In this study,portal vein width[odds ratio(OR)=1.603,95%CI:1.288-1.994,P≤0.001],the preoperative neutrophil-to-lymphocyte ratio(NLR)(OR=1.495,95%CI:1.126-1.984,P=0.005),and the albumin-bilirubin(ALBI)score(OR=8.868,95%CI:2.144-36.678,P=0.003)were independent risk factors for PHLF.A nomogram prediction model was developed using these factors.ROC and DCA analyses revealed that the predictive efficacy and clinical value of this model were better than those of traditional models.CONCLUSION A new Nomogram model for predicting PHLF in HCC patients was successfully established based on portal vein width,the NLR,and the ALBI score,which outperforms the traditional model.展开更多
BACKGROUND The hemoglobin-to-red cell distribution width ratio(HRR)is a recently intro-duced,easily accessible marker that provides insights into inflammation and the tumor vascular microenvironment.It has been sugges...BACKGROUND The hemoglobin-to-red cell distribution width ratio(HRR)is a recently intro-duced,easily accessible marker that provides insights into inflammation and the tumor vascular microenvironment.It has been suggested to have prognostic value for overall survival in various types of cancer,including urothelial carcinoma,lung cancer,and hepatocellular carcinoma.It has not yet been sufficiently invest-igated in colorectal cancers(CRC).AIM To investigate the prognostic significance of the HRR and other inflammation-based hematological markers in patients with metastatic CRC.Additionally,the study evaluated the impact of surgical interventions,particularly metastasectomy,and multiple clinical and laboratory parameters on overall survival.By iden-tifying low-cost,accessible prognostic indicators,this research seeks to support clinicians in optimizing treatment strategies and risk stratification for patients with CRC.METHODS In this retrospective study,patients diagnosed with CRC between January 2020 and December 2024 were analyzed.The impact of HRR in conjunction with inflammatory markers and a total of 22 different clinical and laboratory para-meters on overall survival were evaluated using univariate Cox regression and a multivariate model.Survival curves were visualized using Kaplan-Meier analysis.RESULTS A total of 155 patients with CRC were included in the study.The median age was 60 years,and 61.9%presented with de novo metastasis.In the receiver operating characteristic curve and area under the curve analysis performed to determine the optimal cutoff,the values were found to be 6.10 for carcinoembryonic antigen(CEA)(P=0.036),18.85 for platelet-to-red cell distribution width ratio(P=0.028),and 10.87 for platelet distribution width-to-lymphocyte ratio(P=0.028).For neutrophil-to-lymphocyte ratio,systemic immune-inflammation index(SII),platelet-to-lymphocyte ratio(PLR),monocyte-to-lymphocyte ratio,HRR,and carbohydrate antigen 19-9,an optimal cutoff could not be determined using the receiver operating characteristic-area under the curve analysis.Therefore,the median values were adopted as the cutoffs(3.09,835.96,177.50,0.380,0.824,and 21.6,respectively).Univariate analysis identified male gender(P=0.045),being under 65 years of age(P=0.001),history of metastas-ectomy(P=0.001),low serum CEA level(P=0.010),low PLR(P=0.024),low SII(P=0.010),and high HRR(P=0.025)as favorable prognostic factors for overall survival.In the multivariate model,being under 65 years of age[hazard ratio(HR)=1.59,95%confidence interval(CI):1.06-2.39,P=0.025],metastasectomy(HR=0.49,95%CI:0.29-0.85,P=0.011),CEA(HR=1.51,95%CI:1.0-2.28,P=0.048),and PLR(HR=1.63,95%CI:1.09-2.44,P=0.018)emerged as independent prognostic factors for overall survival,whereas gender,SII,and HRR did not retain statistical significance.CONCLUSION In conclusion,low HRR alone was a prognostic indicator.However,when modelled with other inflammatory and clinical parameters,it did not provide a sufficiently strong marker feature.展开更多
Accurate prediction of strip width is a key factor related to the quality of hot rolling manufacture.Firstly,based on strip width formation mechanism model within strip rolling process,an improved width mechanism calc...Accurate prediction of strip width is a key factor related to the quality of hot rolling manufacture.Firstly,based on strip width formation mechanism model within strip rolling process,an improved width mechanism calculation model is delineated for the optimization of process parameters via the particle swarm optimization algorithm.Subsequently,a hybrid strip width prediction model is proposed by effectively combining the respective advantages of the improved mechanism model and the data-driven model.In acknowledgment of prerequisite for positive error in strip width prediction,an adaptive width error compensation algorithm is proposed.Finally,comparative simulation experiments are designed on the actual rolling dataset after completing data cleaning and feature engineering.The experimental results show that the hybrid prediction model proposed has superior precision and robustness compared with the improved mechanism model and the other eight common data-driven models and satisfies the needs of practical applications.Moreover,the hybrid model can realize the complementary advantages of the mechanism model and the data-driven model,effectively alleviating the problems of difficult to improve the accuracy of the mechanism model and poor interpretability of the data-driven model,which bears significant practical implications for the research of strip width control.展开更多
A self-pulsed Tm:GdScO3laser was experimentally demonstrated by using a compact linear resonant cavity.When the pump power was 19.6 W,an average output power of 1771 m W was achieved from the self-pulsed Tm:GdScO_(...A self-pulsed Tm:GdScO3laser was experimentally demonstrated by using a compact linear resonant cavity.When the pump power was 19.6 W,an average output power of 1771 m W was achieved from the self-pulsed Tm:GdScO3laser with a pulse width of 158.1 ns and a pulse repetition frequency of 112.8 kHz,corresponding to an optical-to-optical conversion efficiency of 9.0%.Moreover,a single pulse energy of 15.7μJ and a pulse peak power of 99.3 W were acquired from the self-pulsed Tm:GdScO3laser.This is,as we know,the first time that the self-pulsed laser output at 2-μm waveband range was obtained by utilizing a Tm:GdScO3crystal so far.展开更多
BACKGROUND Red blood cell distribution width(RDW)is associated with the development and progression of various diseases.AIM To explore the association between pretreatment RDW and short-term outcomes after laparoscopi...BACKGROUND Red blood cell distribution width(RDW)is associated with the development and progression of various diseases.AIM To explore the association between pretreatment RDW and short-term outcomes after laparoscopic pancreatoduodenectomy(LPD).METHODS A total of 804 consecutive patients who underwent LPD at our hospital between March 2017 and November 2021 were retrospectively analyzed.Correlations between pretreatment RDW and clinicopathological characteristics and short-term outcomes were investigated.RESULTS Patients with higher pretreatment RDW were older,had higher Eastern Cooperative Oncology Group scores and were associated with poorer short-term outcomes than those with normal RDW.High pretreatment RDW was an independent risk factor for postoperative complications(POCs)(hazard ratio=2.973,95%confidence interval:2.032-4.350,P<0.001)and severe POCs of grade IIIa or higher(hazard ratio=3.138,95%confidence interval:2.042-4.824,P<0.001)based on the Clavien-Dino classification system.Subgroup analysis showed that high pretreatment RDW was an independent risk factor for Clavien-Dino classi-fication grade IIIb or higher POCs,a comprehensive complication index score≥26.2,severe postoperative pancreatic fistula,severe bile leakage and severe hemorrhage.High pretreatment RDW was positively associated with the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and was negatively associated with albumin and the prognostic nutritional index.CONCLUSION Pretreatment RDW was a special parameter for patients who underwent LPD.It was associated with malnutrition,severe inflammatory status and poorer short-term outcomes.RDW could be a surrogate marker for nutritional and inflammatory status in identifying patients who were at high risk of developing POCs after LPD.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.32172509)the earmarked fund for CARS-26。
摘要Leaf morphology is an important agronomic trait that affects photosynthetic efficiency and plant architecture.Some KNOXI(ClassⅠKNOTTED1-LIKE HOMEOBOX)or CIN-TCP(CINCINNATA-LIKE TEOSINTE BRANCHED1,CYCLOIDEA,and PROLIFERATING CELL FACTORS)transcription factors control leaf development by influencing GA(gibberellin)content.However,the knowledge about their interaction in regulating leaf morphogenesis is still scarce,especially in woody fruit plants such as citrus.In this study,we found that the expression of CsTCP13(a citrus CIN-TCP gene)dramatically decreased with a decreasing leaf length-width ratio in citrus.Transiently silencing CsTCP13 in citrus produced wider leaves and significantly decreased Cs GA20ox1(a key citrus GA20-oxidase gene for GA biosynthesis)expression and GAs(GA3,GA4,and GA7)contents.Conversely,stable overexpression of CsTCP13 in tobacco generated narrower leaves and significantly increased GA20ox1 expression and GA1content;it also significantly shortened the distance between veins and reduced the number of epidermal cells per unit area of leaf.Moreover,transactivation assays showed that CsTCP13 had transcriptional activation,and yeast two-hybrid,split-luciferase complementation,and bimolecular fluorescence complementation assays confirmed that CsTCP13 interacted with CsKNAT1(a citrus KNOXI protein).Furthermore,yeast one-hybrid and dual-luciferase assays validated that CsTCP13 promoted while CsKNAT1 and its interacting protein CsKNAT6 inhibited Cs GA20ox1 expression by binding to its promoter.Interestingly,CsKNAT1 or the CsKNAT1-CsKNAT6 complex interacted with CsTCP13 to attenuate its promotion effect on Cs GA20ox1 expression.Taken together,our findings revealed a novel regulatory mechanism that CsTCP13 regulates citrus leaf width through directly influencing Cs GA20ox1 expression and then GA content,which can be negatively affected by the interaction with CsKNAT1 or the CsKNAT1-CsKNAT6 complex.
基金supported by the National Key Research and Development Plan(Grant No.2023YFB3712400).
摘要Width spread is a critical quality indicator in the hot strip rolling(HSR)manufacturing process.To improve prediction accuracy,a physics-informed machine learning framework with residual learning(PI-MLRL)is proposed,in which a mechanism model,a light gradient boosting machine(LightGBM)-based residual learning module,and a physics-constrained distillation mechanism are integrated.By combining physical consistency with nonlinear fitting capability,an accurate mapping between process variables and width spread is achieved.Experimental results show that the proposed framework outperforms the mechanism model and seven representative data-driven models in terms of mean absolute error,root-mean-square error,and coefficient of determination.Moreover,Shapley additive explanations(SHAP)method is employed for interpretable diagnostics of PI-MLRL predictions,clarifying the effects of key variables on width spread under different operating conditions.Finally,the proposed framework was deployed on a 2160-mm HSR production line,and application results showed that the width spread prediction error was maintained within±3 mm,thereby confirming its engineering applicability.
摘要Investigating the detonation reaction zone structures of high explosives is significant for understanding detonation reaction mechanism.This study employed an integrated approach combining machine learning prediction,theoretical calculation,and experimental characterization to determine the detonation reaction zone width of CL-20-based aluminized explosive.In this study,the detonation reaction zone refers to the reaction zone between the von Neumann(VN)peak and sonic point,which usually means the so-called detonation driving zone(DDZ).For the machine learning prediction,an ensemble model integrating Random Forest and Support Vector Regression was developed to predict the reaction zone width using a dataset of 19 publicly available samples.For the theoretical calculation,the Wood-Kirkwood(W-K)detonation theory model was utilized to implement numerical calculation of the reaction zone structures,incorporating chemical reaction kinetics to describe the detonation reaction progress.In experimental characterization,the Photon Doppler Velocimetry(PDV)was applied with LiF as the optical window to measure the particle velocity profile of detonation products and derive the reaction zone width.The results indicate that the reaction zone width values are 0.25 mm,0.28 mm,and 0.26 mm obtained from machine learning prediction,theoretical calculation,and experimental characterization,respectively.The corresponding velocities at the Chapman-Jouguet(CJ)point are 1,938 m/s,2,047 m/s,and 1,982 m/s,respectively.The maximum relative deviation in reaction zone width among three methods is approximately 7.7%,while that for CJ particle velocity is approximately 3.3%.These results from all three methods agree well within engineering error.This validates the effectiveness of integrating machine learning prediction,theoretical calculation and advanced experimental techniques for studying the detonation reaction zone structures of high explosives.This research provides insights into the detonation reaction mechanism and reaction zone characteristics of CL-20-based aluminized explosive.
基金funded by the National Key R&D Program of China(2023YFC3007201)National Natural Science Foundation of China(42377167)。
摘要Developing predictive models for rock avalanche runout is crucial for hazard risk mitigation and management,while also deepening the understanding of rock avalanche dynamics.In this study,a database of 63 representative rock avalanches was compiled,and the geometric characteristics of these events were analyzed.Traditional regression methods were compared with neural network regression(NNR)approaches to find the optimal model.Model parameters,loss functions,and evaluation metrics were examined to determine optimal configurations.Based on correlation analyses and model performance,this study recommends the use of source area width as an alternative to failure volume in runout prediction models,effectively addressing the common challenge of estimating avalanche volume.Ultimately,an NNR-based model,utilizing mean squared logarithmic error as the loss function and incorporating source area width and fall height as input parameters,was identified as the optimal approach.This model achieved prediction errors within a−50% to 50% range with 95.2% probability,yielding a mean absolute percentage error of 23.22% and an R2 of 0.85.These findings enhance rock avalanche prediction methodologies,providing more accurate tools for assessing the potential impact zones of destructive geological events.
基金supported by the National Natural Science Foundation of China(82427808,61875085)the Jiangsu Provincial University Natural Science Foundation(25KJB413004)+1 种基金the Nanjing Health Science and Technology Development Foundation(ZKX24043)the Fundamental Research Funds for the Central Universities(NJ2024029).
摘要Microwave ablation(MWA)is a minimally invasive technique for treating hepatic tumors,necessitating precise monitoring to ensure treatment efficacy and minimize damage to surrounding tissues.This study explores the potential of photoacoustic imaging(PAI)in monitoring MWA by examining ex vivo porcine liver tissues.In this study,a comprehensive analysis of photoacoustic signals was performed to compare the main lobe width(MLW)between ablated and normal regions in porcine liver tissue.Histological staining with succinate dehydrogenase(SDH)and shear wave elastography(SWE)were employed to validate the changes in tissue elasticity after ablation.The analysis demonstrated a notable reduction in the MLW of the average A-lines in ablated tissues compared to nonablated regions(p<0.01).This reduction,attributed to increased tissue density and enhanced elasticity,indicates accelerated sound propagation in thermally ablated areas,which then serves as a critical parameter for mapping tissue characteristics.The reconstruction of the MLW distribution successfully delineated the ablated regions,and was consistent with the results of SDH staining and SWE.In addition,MLW-based imaging exhibited higher spatial resolution compared to SWE.Incorporating MLW analysis into PAI may be a promising strategy to improve the accuracy and effectiveness of MWA monitoring in clinical settings.
基金jointly supported by the National Natural Science Foundation of China[grant numbers U2342202,42175005,and 42175016]the Qing Lan Project[grant number R2023Q06]。
摘要This study investigates the width of the secondary eyewall(SE)immediately following its formation in tropical cyclones with surface environmental winds aligned and counter-aligned with environmental vertical wind shear(VWS),using idealized numerical experiments.Results reveal that the SE develops greater radial extent when surface winds align with VWS compared to counter-aligned conditions.In alignment configurations,shear-enhanced surface winds on the right flank amplify surface enthalpy fluxes,thereby elevating boundary-layer entropy within the downshear outer-core region.Subsequently,more vigorous outer rainbands develop,inducing marked acceleration of tangential winds in the outer core preceding SE formation.The resultant radial expansion of supergradient winds near the boundary-layer top triggers widespread convective activity immediately beyond the inner core.Progressive axisymmetrization of this convective forcing ultimately generates an expansive SE structure.
摘要The study conducted by Martli et al,on the preoperative risk stratification of malignant potential in pancreatic cystic neoplasms(PCNs),identifies age and red cell distribution width(RDW)as independent predictors.This study offers a simple and cost-effective clinical tool for preoperative assessments.The significance lies in its integration of routine laboratory parameters with clinical features,effectively addressing the limitations associated with the accessibility and operator dependency of imaging and invasive diagnostic methods.However,factors such as the retrospective design,single-center setting,small sample size,and selection bias because of the inclusion of only surgical cases limit the generalizability of the findings.Future studies should emphasize multi-center prospective validation to further clarify the biological role of RDW in the malignant transformation of PCNs and to explore integrated models that combine RDW with imaging characteristics and molecular biomarkers,ultimately enhancing precision in individualized clinical decision-making.
基金supported by the Grant-in-Aid for Scientific Research(C)“Verification of Opportunities to Go out and Improvement of QOL by Using an Electric Wheelchair in Daily Life”(Research Project 25K05636).
摘要The purpose of this study was to clarify the effects of different sidewalk widths on the driving characteristics of electric wheelchairs and on the user’s psychology and safety.Eighteen participants drove electric wheelchairs on both wide and narrow sidewalks.Data collection included:(1)the number of cyclists and pedestrians passing by,(2)driving speed,(3)an 11-item questionnaire,and(4)a post-test ride interview.The results showed that the number of cyclists and pedestrians they passed and their driving speed were significantly higher on wide sidewalks.On the other hand,on narrow sidewalks,negative evaluations were frequently given,including the difficulty of avoiding steps,slopes,and utility poles,anxiety and psychological tension associated with pedestrian consideration,and difficulty in operation.These results indicate that sidewalk width is not just a physical space,but also an important environmental factor that strongly influences users’anxiety,operational burden,and distance adjustment from pedestrians.Creating a safe and comfortable mobility environment requires both improvements to sidewalk infrastructure and innovations in mobility devices.
摘要BACKGROUND Red cell distribution width(RDW)measures the red blood cell size variation.Elevated RDW has been associated with various adverse health outcomes,including cardiovascular diseases.AIM To analyze current evidence on the prognostic significance of high RDW in patients with heart failure(HF).METHODS A comprehensive literature search was conducted across multiple databases,including PubMed,EMBASE,and Google Scholar,up to May 2024.Studies were included if they investigated the relationship between RDW levels and outcomes in HF patients.Compared to those in the lowest quartile.The primary outcome was all-cause mortality.Compared to those in the lowest quartile.Heterogeneity was assessed using the I2 statistic,we assessed the impact of individual studies on the overall estimate using a leave-one-out sensitivity analysis and publication bias was evaluated through a contour-enhanced funnel plot and Luis Furuya-Kanamori(LFK)index.RESULTS Seven studies,including a total of 11460 HF patients,were analyzed.The participants'mean age varied between 60 years and 80 years,with 6562(57.26%)in the lower quartile.Patients in the highest quartile of RDW(>15.21%)had a significantly increased risk of all-cause mortality,with an odds ratio of 1.84(95%CI:1.31-2.57,P<0.001),compared to those in the lowest quartile(RDW:14.1%-15.20%).There was significant variability in the included studies'results(I2=93%,P<0.01),as well as potential publication bias suggested by the high LFK index(8.47).Sensitivity analysis reinforced the robustness of these findings,showing that the results were not unduly influenced by any single study.CONCLUSION This meta-analysis confirms that high RDW is a robust predictor of adverse outcomes in patients with HF,highlighting its potential utility as a simple,cost-effective biomarker for risk stratification.Future research should focus on elucidating the mechanisms underlying this association and exploring the potential benefits of RDWguided therapeutic strategies in HF management.
基金supported by the Zhejiang Provincial Natural Science Foundation,China(Grant No.LD24C130001)the National Natural Science Foundation of China(Grant Nos.W2412006 and 32372125)+3 种基金the Hainan Provincial Natural Science Foundation,China(Grant Nos.GHYF2025029 and YBXM2422)the Innovation Platform for Academicians of Hainan Province,China(Grant No.YSPTZX202502)the National Modern Agricultural Industry Technology System Project,China(Grant No.CARS-01-18)the Special Support Program of Chinese Academy of Agricultural Sciences(Grant Nos.NKYCLJ-C-2021-015 and CAAS-ZDRW202401)。
摘要The width of rice leaves determines the size of the photosynthetic area.Optimizing rice leaf width can improve the photosynthetic rate,thereby increasing rice yield.In this study,a genome-wide association study(GWAS)was conducted by 225 rice germplasm resources to explore the genetic basis of rice flag leaf width(FLW).We identified nine QTLs associated with FLW(qFLWs),with phenotypic contribution rates ranging from 3.17%to 14.37%.Near-isogenic lines(NILs)were developed for fine-mapping of qFLW11,and the function of FLW11 was further verified.We narrowed down q FLW11 to an 87-kb interval,which contains five genes.
基金supported by the National Natural Science Foundation of China(12071444,12201581)the Fundamental Research Program of Shanxi Province of China(202103021223191).
摘要The minimal widths of three bounded subsets of the unit sphere associated to a unit vector in a normed linear space are studied,and three related geometric constants are introduced.New characterizations of inner product spaces are also presented.From the perspective of minimal width,strongε-symmetry of Birkhoff orthogonality is introduced,and its relation toε-symmetry of Birkhoff orthogonality is shown.Unlike most of the existing parameters of the underlying space,these new constants are full dimensional in nature.
基金supported by the National Natural Science Foundation of China(Grant Nos.12172017 and 11872083)Project of Beijing Municipal Education Commission(Grant Nos.KZ202210005006 and KZ202110005007).
摘要Intracranial aneurysm(IA)is a prevalent cerebrovascular disease associated with high mortality and disability rates upon rupture.The hemodynamics of IA,which are significantly influenced by geometric parameters,directly impact its rupture.This study focuses on investigating the transient flow characteristics in saccular IA models fabricated using a water droplet-based method,specifically examining the influence of neck widths.Particle image velocimetry technique and numerical simulation were employed to investigate the dynamic evolution of flow structures within three IA models.The results reveal that neck width(W)has a substantial effect on flow characteristics in the neck region,subsequently impacting the deep flow inside the sac.Three distinct patterns were observed during flow evolution inside the sac:for W=2 mm,two vortices occur and then disappear with relatively low average flow velocity;for W=4 mm,enhanced effects of a high-speed jet result in periodic pulsatile flow velocity distribution while maintaining stable vortex core position;for W=6 mm,significant changes in flow velocity occur due to size expansion and intensity increase of vortices.These findings demonstrate that neck widths play a complex role in influencing transient flow characteristics within IAs.Overall,this research contributes to further understanding transient flow behaviors in IAs.
基金Supported by Tianjin Natural Science Foundation(No.23JCZXJC00140).
摘要AIM:To assess and compare the utility of neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic inflammation index(SII),and red blood cell distribution width(RDW)as potential biomarkers to predict the severity of diabetic retinopathy(DR)in the United States population.METHODS:The observational study enlisted patients diagnosed with DR from the National Health and Nutrition Examination Survey(NHANES)database,spanning the period from 2005 to 2008.The severity of DR was defined according to Early Treatment for Diabetic Retinopathy Study(ETDRs).The effect of NLR,PLR,SII,and RDW on proliferative diabetic retinopathy(PDR)were explored using multivariable logistic regression analysis model.Subgroup analysis and restricted cubic splines(RCS)were conducted to assess the robustness of the correlations across subgroups and to explore nonlinear relationships between four indices and PDR.The receiver operating characteristic(ROC)analysis was employed for the purpose of assessing and evaluating the predictive efficacy of NLR,PLR,SII,and RDW in determining the severity of DR.RESULTS:After adjusting for other confounders(age,gender,race,body mass index,diabetes duration,and HbA1c)in multivariable analysis,a unit increase of PLR×0.1,SII×0.01,and RDW would raise the risk for PDR by 15.6%,22.2%,and 33%,respectively.Particularly,there was a 2.208-fold greater risk of PDR in individuals with an elevated NLR(OR=2.208,95%CI,1.348-3.617,P<0.001).RCS analyses showed positive relationships of four indices and PDR after segmented regression based on their own turning points.The results of ROC analysis revealed that PLR+RDW[area under the curve(AUC)=0.772,95%CI:0.669-0.874]had the best predictive value for PDR,compared with NLR+PLR+SII(AUC=0.697,95%CI:0.570-0.825)or RDW alone(AUC=0.736,95%CI:0.646-0.826).CONCLUSION:The combination of RDW and NLR demonstrates a promising ability to predict the severity of DR across the United States population,and it could be promisingly used in clinics for monitoring the progress of DR.
摘要BACKGROUND As red blood cell distribution width(RDW)and albumin have been shown to be independent predictors of mortality from various diseases,this study aimed to investigate the effect of the RDW to albumin ratio(RA)as an independent predictor of the prognosis of patients admitted to the coronary care unit(CCU).AIM To use the RDW and albumin level to predict the prognosis of patients in the CCU.METHODS Data were obtained from the Medical Information Mart Intensive Care III database.The primary outcome was 365-day all-cause mortality,whereas the secondary outcomes were 30-and 90-day all-cause mortality,hospital length of stay(LOS),and CCU LOS.Cox proportional hazards regression model,propen-sity score matching,and receiver operating characteristic curve analyses were used.RESULTS The hazard ratio(95%confidence interval)of the upper tertile(RA>4.66)was 1.62(1.29 to 2.03)when compared with the reference(RA<3.84)in 365-day all-cause mortality.This trend persisted after adjusting for demographic and clinical variables in the propensity score-matching analysis.Similar trends were observed for the secondary outcomes of hospital and CCU LOS.Receiver operating characteristic curve analysis was performed by combining the RA and sequential organ failure assessment(SOFA)scores,and the C-statistic was higher than that of the SOFA scores(0.733 vs 0.702,P<0.001).CONCLUSION RA is an independent prognostic factor in patients admitted to the CCU.RA combined with the SOFA score can improve the predictive ability of the SOFA score.However,our results should be verified in future prospective studies.
基金Supported by Shaanxi Provincial Social Development Fund,No.2024SF-YBXM-140.
摘要BACKGROUND Post-hepatectomy liver failure(PHLF)after liver resection is one of the main complications causing postoperative death in patients with hepatocellular carcinoma(HCC).It is crucial to help clinicians identify potential high-risk PHLF patients as early as possible through preoperative evaluation.AIM To identify risk factors for PHLF and develop a prediction model.METHODS This study included 248 patients with HCC at The Second Affiliated Hospital of Air Force Medical University between January 2014 and December 2023;these patients were divided into a training group(n=164)and a validation group(n=84)via random sampling.The independent variables for the occurrence of PHLF were identified by univariate and multivariate analyses and visualized as nomograms.Ultimately,comparisons were made with traditional models via receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).RESULTS In this study,portal vein width[odds ratio(OR)=1.603,95%CI:1.288-1.994,P≤0.001],the preoperative neutrophil-to-lymphocyte ratio(NLR)(OR=1.495,95%CI:1.126-1.984,P=0.005),and the albumin-bilirubin(ALBI)score(OR=8.868,95%CI:2.144-36.678,P=0.003)were independent risk factors for PHLF.A nomogram prediction model was developed using these factors.ROC and DCA analyses revealed that the predictive efficacy and clinical value of this model were better than those of traditional models.CONCLUSION A new Nomogram model for predicting PHLF in HCC patients was successfully established based on portal vein width,the NLR,and the ALBI score,which outperforms the traditional model.
摘要BACKGROUND The hemoglobin-to-red cell distribution width ratio(HRR)is a recently intro-duced,easily accessible marker that provides insights into inflammation and the tumor vascular microenvironment.It has been suggested to have prognostic value for overall survival in various types of cancer,including urothelial carcinoma,lung cancer,and hepatocellular carcinoma.It has not yet been sufficiently invest-igated in colorectal cancers(CRC).AIM To investigate the prognostic significance of the HRR and other inflammation-based hematological markers in patients with metastatic CRC.Additionally,the study evaluated the impact of surgical interventions,particularly metastasectomy,and multiple clinical and laboratory parameters on overall survival.By iden-tifying low-cost,accessible prognostic indicators,this research seeks to support clinicians in optimizing treatment strategies and risk stratification for patients with CRC.METHODS In this retrospective study,patients diagnosed with CRC between January 2020 and December 2024 were analyzed.The impact of HRR in conjunction with inflammatory markers and a total of 22 different clinical and laboratory para-meters on overall survival were evaluated using univariate Cox regression and a multivariate model.Survival curves were visualized using Kaplan-Meier analysis.RESULTS A total of 155 patients with CRC were included in the study.The median age was 60 years,and 61.9%presented with de novo metastasis.In the receiver operating characteristic curve and area under the curve analysis performed to determine the optimal cutoff,the values were found to be 6.10 for carcinoembryonic antigen(CEA)(P=0.036),18.85 for platelet-to-red cell distribution width ratio(P=0.028),and 10.87 for platelet distribution width-to-lymphocyte ratio(P=0.028).For neutrophil-to-lymphocyte ratio,systemic immune-inflammation index(SII),platelet-to-lymphocyte ratio(PLR),monocyte-to-lymphocyte ratio,HRR,and carbohydrate antigen 19-9,an optimal cutoff could not be determined using the receiver operating characteristic-area under the curve analysis.Therefore,the median values were adopted as the cutoffs(3.09,835.96,177.50,0.380,0.824,and 21.6,respectively).Univariate analysis identified male gender(P=0.045),being under 65 years of age(P=0.001),history of metastas-ectomy(P=0.001),low serum CEA level(P=0.010),low PLR(P=0.024),low SII(P=0.010),and high HRR(P=0.025)as favorable prognostic factors for overall survival.In the multivariate model,being under 65 years of age[hazard ratio(HR)=1.59,95%confidence interval(CI):1.06-2.39,P=0.025],metastasectomy(HR=0.49,95%CI:0.29-0.85,P=0.011),CEA(HR=1.51,95%CI:1.0-2.28,P=0.048),and PLR(HR=1.63,95%CI:1.09-2.44,P=0.018)emerged as independent prognostic factors for overall survival,whereas gender,SII,and HRR did not retain statistical significance.CONCLUSION In conclusion,low HRR alone was a prognostic indicator.However,when modelled with other inflammatory and clinical parameters,it did not provide a sufficiently strong marker feature.
基金supported by the National Natural Science Foundation of China(No.62273234)Key Research and Development Program of Shaanxi(Program No.2022GY-306)Technology Innovation Leading Program of Shaanxi(Program No.2022QFY01-16).
摘要Accurate prediction of strip width is a key factor related to the quality of hot rolling manufacture.Firstly,based on strip width formation mechanism model within strip rolling process,an improved width mechanism calculation model is delineated for the optimization of process parameters via the particle swarm optimization algorithm.Subsequently,a hybrid strip width prediction model is proposed by effectively combining the respective advantages of the improved mechanism model and the data-driven model.In acknowledgment of prerequisite for positive error in strip width prediction,an adaptive width error compensation algorithm is proposed.Finally,comparative simulation experiments are designed on the actual rolling dataset after completing data cleaning and feature engineering.The experimental results show that the hybrid prediction model proposed has superior precision and robustness compared with the improved mechanism model and the other eight common data-driven models and satisfies the needs of practical applications.Moreover,the hybrid model can realize the complementary advantages of the mechanism model and the data-driven model,effectively alleviating the problems of difficult to improve the accuracy of the mechanism model and poor interpretability of the data-driven model,which bears significant practical implications for the research of strip width control.
基金Project supported by the Key Research and Development Plan of Xinjiang Uygur Autonomous Region,China(Grant Nos.2022B01040 and 2022B01040-2)the Key Project of Heilongjiang Natural Science Foundation(Grant No.ZD2021F002)。
摘要A self-pulsed Tm:GdScO3laser was experimentally demonstrated by using a compact linear resonant cavity.When the pump power was 19.6 W,an average output power of 1771 m W was achieved from the self-pulsed Tm:GdScO3laser with a pulse width of 158.1 ns and a pulse repetition frequency of 112.8 kHz,corresponding to an optical-to-optical conversion efficiency of 9.0%.Moreover,a single pulse energy of 15.7μJ and a pulse peak power of 99.3 W were acquired from the self-pulsed Tm:GdScO3laser.This is,as we know,the first time that the self-pulsed laser output at 2-μm waveband range was obtained by utilizing a Tm:GdScO3crystal so far.
基金Supported by the National Natural Science Foundation of China,No.81302124.
摘要BACKGROUND Red blood cell distribution width(RDW)is associated with the development and progression of various diseases.AIM To explore the association between pretreatment RDW and short-term outcomes after laparoscopic pancreatoduodenectomy(LPD).METHODS A total of 804 consecutive patients who underwent LPD at our hospital between March 2017 and November 2021 were retrospectively analyzed.Correlations between pretreatment RDW and clinicopathological characteristics and short-term outcomes were investigated.RESULTS Patients with higher pretreatment RDW were older,had higher Eastern Cooperative Oncology Group scores and were associated with poorer short-term outcomes than those with normal RDW.High pretreatment RDW was an independent risk factor for postoperative complications(POCs)(hazard ratio=2.973,95%confidence interval:2.032-4.350,P<0.001)and severe POCs of grade IIIa or higher(hazard ratio=3.138,95%confidence interval:2.042-4.824,P<0.001)based on the Clavien-Dino classification system.Subgroup analysis showed that high pretreatment RDW was an independent risk factor for Clavien-Dino classi-fication grade IIIb or higher POCs,a comprehensive complication index score≥26.2,severe postoperative pancreatic fistula,severe bile leakage and severe hemorrhage.High pretreatment RDW was positively associated with the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and was negatively associated with albumin and the prognostic nutritional index.CONCLUSION Pretreatment RDW was a special parameter for patients who underwent LPD.It was associated with malnutrition,severe inflammatory status and poorer short-term outcomes.RDW could be a surrogate marker for nutritional and inflammatory status in identifying patients who were at high risk of developing POCs after LPD.