Waverider design based on osculating theory presents two critical issues:robust specification of design curves and accurate solution of the basic flowfield.Although the existing parametric approaches have advanced rap...Waverider design based on osculating theory presents two critical issues:robust specification of design curves and accurate solution of the basic flowfield.Although the existing parametric approaches have advanced rapid configuration generation through geometric parameterization frameworks,they critically neglect the inherent coupling between aerodynamic constraints and geometric design parameters.To overcome this limitation,an Aerodynamics-Informed Parametric(AIP)method is developed by analytically deriving three waverider design curves and integrating them with the second-order curved shock theory.This method enables rapid waverider surface design while accounting for inflow conditions and shock wave geometry.Three typical waveriders,each featuring distinct combinations of design curves as inputs,are constructed and evaluated through inviscid and viscous numerical simulations to validate the applicability and accuracy of the AIP method.The results indicate that waveriders derived using the AIP method successfully reproduce the preassigned shock waves and original flowfields.Compared to traditional waverider design techniques based on the method of characteristics,the AIP method reduces computation time by approximately 94%,while maintaining errors in the inviscid lift-to-drag ratio,viscous lift-to-drag ratio,and volumetric efficiency below 0.1%,4.0%,and 0.1%,respectively.Additionally,a specially designed model is fabricated for the wind-tunnel tests to analyze the hypersonic aerodynamic performance of the waverider.Both numerical and experimental results confirm the feasibility of the AIP method,making it a promising candidate for waverider design and optimization.展开更多
This study aimed to develop a nitrogen fertilization strategy for rainfed maize systems on the Loess Plateau,based on an optimal available nitrogen supply,to meet soil N availability with crop demand while minimizing ...This study aimed to develop a nitrogen fertilization strategy for rainfed maize systems on the Loess Plateau,based on an optimal available nitrogen supply,to meet soil N availability with crop demand while minimizing groundwater quality damage from nitrate leaching.A three-year field experiment was conducted with varying planting density and N rate.The optimal relative yield was achieved at an integrated nitrogen nutrition index of 1.0 with an available N supply(ANS,mineral N fertilizer plus initial soil nitrate N)around 300 kg ha-1,which represented the optimal level for minimizing soil nitrate residues without yield penalty.This ANS-based framework offers a practical strategy for sustainable N management in rainfed maize production under variable climatic conditions.展开更多
Dear Editor,This letter deals with the formation control problem of a multiagent system that moves along a closed curve and is subject to position constraints.A distributed formation control law is developed under whi...Dear Editor,This letter deals with the formation control problem of a multiagent system that moves along a closed curve and is subject to position constraints.A distributed formation control law is developed under which the position constraint of each agent can always be satisfied.Due to the existence of position constraints,prescribed formations generally cannot be achieved by the agents.展开更多
The capillary pressure curve provides fundamental insights into the dynamics of fluid-fluid displacement and phase distributions.Capillary scaling is crucial for extrapolating capillary pressure-saturation data from l...The capillary pressure curve provides fundamental insights into the dynamics of fluid-fluid displacement and phase distributions.Capillary scaling is crucial for extrapolating capillary pressure-saturation data from laboratory tests to field applications.However,the classic scaling method fails to capture the effect of wettability as the pore surface approaches neutral wetting.Here,inspired by the role of pore-filling events in controlling fluid-fluid displacement,we perform a theoretical analysis of the burst events occurring during drainage processes.We find that the median threshold capillary pressure,which corresponds to the occurrence of burst events for the median pore throat,is closely correlated with the capillary pressure curve across various contact angles.Using this concept,we propose a new scaling method for capillary pressure curves under various wetting conditions.We conduct microfluidic experiments and pore-network modeling across different contact angles,porosities,and disorders to evaluate the new scaling methods,indicating that the new scaling method performs better than the Leverett J-function as the contact angle approaches 90°.We further perform geometry analysis on the critical radius of curvature for burst events in an ideal tetrahedral arrangement and extend the new scaling method to 3D(three-dimensional)porous media.Model evaluation shows that the 3D version of the scaling method also performs well but requires fewer parameters compared to the Leverett J-function.Our work enhances the prediction and interpretation of experimental data for capillary pressure curves under various wet conditions,and more importantly,establishes a methodology that relates Darcy-scale flow behavior to pore-scale fluid displacements.展开更多
This paper proposes the analytical solutions involving damping effects for the dynamic response of a simply supported thin-walled curved beam under uniformly variable two-axle moving loads in four directions:vertical,...This paper proposes the analytical solutions involving damping effects for the dynamic response of a simply supported thin-walled curved beam under uniformly variable two-axle moving loads in four directions:vertical,torsional,radial,and axial.The warping stiffness and damping of the thin-walled beam were comprehensively considered in the vibration control equations.Unlike traditional one-axle load cases,this study employs a more realistic two-axle vehicle load model.Based on the modal superposition method,the control vibration equations for thin-walled curved beams in-plane and out-ofplane under variable speed moving loads were solved using a combination of the Fourier sine transform method,the Galerkin method,and the Laplace transform method.Analytical solutions for the dynamic responses were derived in integral form,facilitating direct numerical computation.The proposed computational method’s effectiveness and accuracy were validated against published research.Subsequently,the dynamic responses of the thin-walled curved beam under one-axle and two-axle moving load models were compared,and the effects of initial load velocity,load acceleration,and center angle of the curved beam on the dynamic responses were investigated through extensive parameter research.The research results provide valuable insights into the structural behavior of thin-walled curved beams under the moving loading with variable speed.展开更多
The original online version of this article was revised:The layout update for Article 758 has impacted the page range in the published issue,but did not affect the scholarly content.To ensure consistency with the orig...The original online version of this article was revised:The layout update for Article 758 has impacted the page range in the published issue,but did not affect the scholarly content.To ensure consistency with the originally assigned pages(2595-2614),we will need to publish an erratum to correct the article and restore the original page range.The original article has been corrected.展开更多
This single-center retrospective cohort study evaluated the feasibility,safety,and learning curve of extraperitoneal single-port robot-assisted radical prostatectomy using the da Vinci Xi platform for localized prosta...This single-center retrospective cohort study evaluated the feasibility,safety,and learning curve of extraperitoneal single-port robot-assisted radical prostatectomy using the da Vinci Xi platform for localized prostate cancer.The data of 200 consecutive patients with localized prostate cancer who underwent this procedure by a single surgeon at Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine(Shanghai,China)from June 2021 to January 2023 were collected.Key outcomes included operative time,estimated blood loss,complications,biochemical recurrence,and continence recovery.A cumulative sum analysis identified three learning phases:initial learning(≤50 cases),consolidation(51-155 cases),and proficiency(>155 cases).Across phases,operative time decreased by 19.5%(from 174 min to 140 min),estimated blood loss decreased by 40.9%(from 115 ml to 68 ml),and positive surgical margin rate decreased by 61.1%(from 35.2%to 13.7%).At 12 months,98.0%of the patients achieved continence,and 5.0%experienced biochemical recurrence.Minor complications occurred in 8.5%of the cases,with no severe events reported.Despite its technical challenges and steep learning curve,the extraperitoneal single-port robotic prostatectomy using the da Vinci Xi platform was observed to be safe,feasible,and reproducible,yielding favorable perioperative,functional,and oncological outcomes,even during the initial phase of skill acquisition.展开更多
BACKGROUND According to recent systematic reviews and meta-analyses,the long-term results of total ankle replacement(TAR)are equivalent or superior to ankle arthrodesis with an average 10-year survival approaching 90%...BACKGROUND According to recent systematic reviews and meta-analyses,the long-term results of total ankle replacement(TAR)are equivalent or superior to ankle arthrodesis with an average 10-year survival approaching 90%.Almost all fourth-generation TAR implants are inserted from the anterior approach except for ZimmerTM,which is implanted laterally and with lateral malleolus osteotomy.AIM To evaluate the clinical outcomes and complication rates and to define a multifactorial learning curve of lateral approach TAR.METHODS This single-center retrospective cohort study included 85 ZimmerTMlateralapproach TARs performed by one surgeon from 2019 to 2024.Patient-reported outcome measures were evaluated in 65 patients using the Manchester-Oxford Foot Questionnaire(MOXFQ)and European Foot and Ankle Society(EFAS)scores.Underlying diagnoses,functional outcomes,operative time trends,secondary procedures,and complications rates were analyzed to define a learning curve considering the first 60 consecutive cases.RESULTS The mean follow-up was 30.8 months.Post-traumatic arthritis was the most common underlying diagnosis accounting for 53.5%of cases.Mean EFAS improved by 13.0 points(P0.4),indicating that proficiency is readily achieved due to the short learning curve of this technique.Operative time decreased from approximately 175 min to 125 min after about 25-30 cases.Complication rates declined with experience.In the first 30 cases,there were 19 reoperations in 13 patients(43%)with an additional 5 being managed conservatively compared with 10 reoperations in 7 patients(23%)with 2 conservatively treated complications in the subsequent 30 cases(relative risk=1.86,P>0.05).Infection-related revisions also decreased markedly from 5(16.7%)to 1(3.3%)(relative risk=5.00,P>0.05)between these cohort.Two cases of deep infection occurred in patients with rheumatoid arthritis.One was successfully managed with debridement,and the other required implant removal with cement spacer implantation.CONCLUSION Lateral-approach TAR achieved early patient-reported outcome measure benefits with efficiency and safety improving with experience,requiring 30 cases.This rapid learning curve integrates functional outcomes,operative timing,and complication rates.展开更多
The soil-water retention curve(SWRC)plays a pivotal role in understanding water movement across numerous geological engineering applications.Despite significant advancements in theoretical modeling approaches,accurate...The soil-water retention curve(SWRC)plays a pivotal role in understanding water movement across numerous geological engineering applications.Despite significant advancements in theoretical modeling approaches,accurate prediction of SWRCs remains challenging due to the inherently sparse and incomplete nature of site-specific data.This study compiled a comprehensive dataset of SWRCs spanning a wide suction range from various published literature sources.Based on this dataset,multiple machine learning(ML)algorithms were employed to predict SWRCs.The performance of each algorithm was evaluated and ranked using four statistical indicators that quantify simulation accuracy.Feature importance analysis was subsequently conducted to reduce dimensionality by eliminating weakly correlated variables,thereby enhancing both model adaptability and computational efficiency.Following dimensionality reduction,a base learner pool was constructed and integrated through stacked generalization to create a multi-algorithm ensemble model.The proposed stacked model demonstrated robust performance in simulating SWRCs across diverse soil types,using only basic physical properties as inputs,achieving accuracy comparable to or marginally superior to the LightGBM model.The principal advantage of the stacked approach lies in its substantially improved accuracy within high suction ranges,effectively overcoming the limitations observed in LightGBM and enhancing the estimation under these conditions.This study provides valuable insights for researchers evaluating SWRCs through ML algorithms and demonstrates the potential of ensemble techniques in geotechnical prediction tasks.展开更多
Background:The European Association of Urology(EAU)recommends transperineal biopsy(TPBx)due to its lower infection risk and higher diagnostic rate for anterior zone tumors.This study aims to assess the learning curve ...Background:The European Association of Urology(EAU)recommends transperineal biopsy(TPBx)due to its lower infection risk and higher diagnostic rate for anterior zone tumors.This study aims to assess the learning curve of TPBx using the Perino-Flex R®angle-adjustable needle guide under local anesthesia.Methods:A retrospective observational analysis was conducted from November 2023 to March 2024,involving 100 patients who underwent TPBx with coaxial technique under local anesthesia.Data collected included patient demographics,procedure and room times,pain levels,anxiety scores,and complications.The study focused on comparing procedure times,pain scores,and complication rates to evaluate the learning curve over time.Results:The mean room time significantly decreased from 29.55 min in the first group to 19.95 min in the fifth(p<0.001).Procedure time was reduced from 15.25 min in the first group to 7.50 min in the fifth(p<0.001).Visual Analog Scale(VAS)scores during core sampling demonstrated a significant decrease after the first 20 patients(2.70 vs.0.90 in the first and second quartile,respectively,p<0.001),indicating a rapid gain in operator proficiency.When splitting the first 20 patients into two subgroups,pain scores significantly dropped after the initial 10 cases.Cancer detection rates remained stable across all groups.Notably,no infectious complications were observed throughout the study.Conclusion:This study highlights the learning curve for TPBx with an adjustable needle guide under local anesthesia.It shows that as experience grows,pain decreases and procedure times shorten,improving both patient comfort and efficiency.These findings offer valuable guidance for new practitioners to learn more quickly and achieve better diagnostic results.展开更多
Accuratemodelling of power production in wind power systems is essential for optimizing their real-time operation and meeting technical or economic objectives.However,the precisemodelling of wind turbine power output ...Accuratemodelling of power production in wind power systems is essential for optimizing their real-time operation and meeting technical or economic objectives.However,the precisemodelling of wind turbine power output remains challenging,particularly when relying on conventional parametric models,which often struggle to capture complex or non-linear behaviors.This paper compares three modelling approaches to estimate the power produced by a real wind turbine(a Senvion MM82/2050 located in France):one parametric,based on analytical expressions of the power coefficient CP(λ,β);another nonparametric,which uses Gaussian processes(GP)to probabilistically model the relationship between operating variables and the power generated;and a third semiparametric approach,which uses a physics-informed GP that explicitly incorporates the wind conversion model based on the power coefficient CP(λ,β)within the Gaussian process as a mean function.Parametric models are efficient,interpretable,and useful when the underlying system model is known;however,they exhibit less predictive power in the face of complex behavior.In contrast,GPs offer greater flexibility,quantify uncertainty,and adapt to complex patterns in the data;however,their extrapolation outside the training range is limited and can lead to erroneous or even physically impossible predictions.The physics-informed GP integrates physical knowledge about the conversion of wind speed to power,improving the estimations outside the training range.Four model estimation procedures were performed using real data obtained from the SCADA system:the first one,retrieves the parameters of the power coefficient Cp from the physical model;the second estimates the hyperparameters of the GP;the third simultaneously estimates both the Gaussian process hyperparameters and the power coefficient parameters of the physics-informed GP;and the fourth computes only the hyperparameters of the physics-informed GP,keeping the optimal power coefficient parameters obtained in the first procedure.The fitting results were analyzed using the Root Mean Square Error(RMSE)and Mean Absolute Error(MAE)as metrics,as well as the time required for fittingraining.The results show that the parametric approach has a lower predictive capacity than the GP and physics-informed GP.The latter has an RMSE that is slightly lower than that of the standard GP and makes more accurate predictions in regions with limited or no data availability.The results also show a trade-off between accuracy and computational efficiency,the physics-informed GP has a training time considerably longer than that of the other twomodels,nevertheless,it is a valuable tool when prediction robustness is a priority.Finally,the results highlight the need to include additional explanatory variables to better capture the observed dispersion and the effect of the high short-term variability of the 1-min SCADA measurements on model fitting.展开更多
The reliable initiation of oblique detonation waves(ODWs)represents a critical factor determining the operational performance of oblique detonation engines(ODEs).While previous research has predominantly focused on id...The reliable initiation of oblique detonation waves(ODWs)represents a critical factor determining the operational performance of oblique detonation engines(ODEs).While previous research has predominantly focused on idealized semi-infinite wedge configurations,such studies have consistently revealed challenges including wave instability,detonation quenching,and compromised engine efficiency.This study presents a numerical investigation of initiation mechanisms and flow field characteristics in ODWs induced by curved surfaces.The analysis employs two-dimensional,multispecies,compressible Reynolds-averaged Navier-Stokes equations coupled with a detailed acetylene combustion model.Key results demonstrate that curved-surface-induced detonations achieve a substantially wider standing range than wedge-induced counterparts,primarily attributable to sustained compression effects generated by concave geometries.Notably,at small wedge angles,the curved surface configuration significantly reduces the detonation initiation distance.The initial formation phase reveals unstable behavior characterized by the large-angle overdriven detonation wave originating from the downstream steep wall section,which subsequently migrates upstream before stabilizing.Detailed examination of the wave structure identifies four distinct components:a curved shock wave(CSW),an overdriven detonation front,a transmitted shock wave,and a supersonic jet flow.Within this configuration,we observe an alternating reflection pattern of expansion waves and compression waves in the supersonic jet region,arising from Type IVr shock-shock interactions between the overdriven detonation wave and the CSW.Viscous effects analysis shows that the gradual curvature transition between the wall and flat plate effectively attenuates shock wave/boundary layer interactions.Furthermore,increased boundary layer thickness is found to significantly alter the ODW morphology while simultaneously inhibiting upstream propagation of the downstream overdriven detonation wave.These findings provide fundamental insights into the complex fluid dynamics governing ODEs,offering valuable implications for the development of more stable and efficient propulsion systems.展开更多
The present study investigates the flow,heat,and mass transfer analysis in the bioconvection of nanofluid containing motile gyrotactic microorganisms through a semi-porous curved oscillatory channel with a magnetic fi...The present study investigates the flow,heat,and mass transfer analysis in the bioconvection of nanofluid containing motile gyrotactic microorganisms through a semi-porous curved oscillatory channel with a magnetic field.These microorganisms produce density gradients by swimming,which induces macroscopic convection flows in the fluid.This procedure improves the mass and heat transfer,illustrating the interaction between biological activity and fluid dynamics.Furthermore,instead of considering traditional Fourier's and Fick's law the energy and concentration equations are developed by incorporating Cattaneo-Christov double diffusion theory.Moreover,to examine the influence of thermophoresis and Brownian diffusions in the fluid we have adopted the Buongiorno nanofluid model.Due to the oscillation of the surface of the channel,the mathematical development of the considered flow problem is obtained in the form of partial differential equations via the curvilinear coordinate system.The convergent series solution of the governing flow equations is obtained after applying the homotopy analysis method(HAM).The effects of different pertinent flow parameters on velocity,motile microorganism density distribution,concentration,pressure,temperature,and skin friction coefficient are examined and discussed in detail with the help of graphs and tables.It is observed during the current study that the density of microorganisms is enhanced for higher values of Reynolds number,Peclet number,radius of curvature variable,and Lewis number.展开更多
In this article,the large-time asymptotic wave dynamics of rogue curves are analytically investigated and numerically confirmed in the Davey-Stewartson(DS)I equation.We show that,when time in bilinear expressions of t...In this article,the large-time asymptotic wave dynamics of rogue curves are analytically investigated and numerically confirmed in the Davey-Stewartson(DS)I equation.We show that,when time in bilinear expressions of the rogue curves is large,a certain number of localized lump-shaped waves would arise on the uniform background,exhibiting various wave patterns.We further show that,as time increases,the individual lump-shaped wave asymptotically evolves into a line soliton on the constant background that persist at large time.By performing large-time asymptotic analysis,we reveal that such wave patterns as well as the numbers of lump-shaped waves can be analytically determined by the structure of nonzero roots of the Wronskian-Hermite polynomials.Our asymptotic predictions are compared to true solutions quantitatively and excellent agreement is obtained.展开更多
Due to ample engineering and industrial applications involving electrically conducting fluids,such as in magnetic flow control devices,thermal magnetic systems,magnetic filtration and separation,and fluid transport in...Due to ample engineering and industrial applications involving electrically conducting fluids,such as in magnetic flow control devices,thermal magnetic systems,magnetic filtration and separation,and fluid transport in curved rotating channels,the present study examines the impacts of pressure-induced instability characteristics and chaotic nature of Magneto-hydrodynamic fluid flow in a rotating curved square duct(CSD),incorporating Hall and ion-slip currents.The rotational speed(ΩT)around the vertical axis of the duct is constant while a variable transverse magnetic field is applied perpendicular to the fluid.The numerical solutions are obtained through the spectral method as a primary tool supported by additional techniques,including Chebyshev polynomial expansions and the collocation approach for the Dean number 0<Dn≤6500 over the magnetic parameter(M)0.5≤M≤50.0.It demonstrates that augmenting the magnetic parameter decreases the flux value,while the Hall and ion slip currents show the opposite effect,but no significant impacts are seen on the velocity distribution.The study also shows that the bifurcation zone shifts to higher Dn and gradually weakens,while the steady curve approaches symmetry as the magnetic field is intensified.Linear stability analysis shows that the linearly stable region steadily grows as M increases,and for M≥32.63,the flow becomes linearly stable.Time evolution computations are carried out to study the unsteady behavior of the flow,and it is predicted that the multi-periodic or chaotic flow progressively transforms into a steady-state nature with the augmentation of the magnetic parameter.The transient flow experiences various instabilities,including asymmetric 2-to 4-vortex solutions.展开更多
In this paper,we consider convergence properties for generalized Schrödinger operators along tangential curves in ℝn×ℝ with less smoothness comparing with Lipschitz condition.Firstly,we obtain sharp converge...In this paper,we consider convergence properties for generalized Schrödinger operators along tangential curves in ℝn×ℝ with less smoothness comparing with Lipschitz condition.Firstly,we obtain sharp convergence rate for generalized Schrödinger operators with polynomial growth along tangential curves in ℝn×ℝ,n≥1.Secondly,we get the convergence result along a family of restricted tangential curves in ℝ×ℝ.As a corollary,we obtain the sharp Lp-Schrödinger maximal estimates along tangential curves in ℝ×ℝ.展开更多
Cracks can severely degrade the integrity and service performance of plate structures.Although most existing studies focus on identifying straight crack patterns using dynamic response data,curved crack paths have rec...Cracks can severely degrade the integrity and service performance of plate structures.Although most existing studies focus on identifying straight crack patterns using dynamic response data,curved crack paths have received far less attention,despite being more realistic in practice and having a stronger influence on structural behaviour.This study presents a computational and experimental framework for analyzing and identifying curved crack paths in cantilever plate structures based on dynamic response characteristics.Curved crack paths are modelled using second-order polynomial equations.Finite Element Analysis(FEA)is employed to evaluate the effects of polynomial coefficients and crack end abscissa(xend)on natural frequency and resonance amplitude,while experimental modal analysis(EMA)on damping ratio.Forward and inverse identification models are then developed using linear regression(LR)and artificial neural networks(ANN)to predict dynamic response characteristics and estimate crack path.Results show that the quadratic coefficient(a)and linear coefficient(b)of the crack path have the most decisive influence on the plate’s vibration characteristics,whereas the constant term(c)has a negligible effect.Also,the crack paths with greater curvature and inclination,represented by higher a and b coefficients,especially at smaller end abscissae(xend),tend to reduce natural frequencies and increase vibration amplitudes and damping ratios.In contrast,smoother,less curved cracks exhibit the opposite behaviour.These curved crack geometries cause greater stiffness degradation by altering both axial and shear stiffness.Consequently,local flexibility and energy dissipation increase due to enhanced crack-surface interaction and localised deformation.The proposed computational models are experimentally validated using 15 fabricated plates with different curved crack profiles,demonstrating high prediction accuracy.Overall,the study enhances the computational identification and characterization of curved cracks in plate structures,contributing to improved damage assessment and structural health monitoring(SHM)based on dynamic response.展开更多
The prediction of the steady-state performance of the electrolysis cell is not only crucial for evaluating the rationality of its design and operational benchmarks,but also provides an important foundation for underst...The prediction of the steady-state performance of the electrolysis cell is not only crucial for evaluating the rationality of its design and operational benchmarks,but also provides an important foundation for understanding its dynamic response behavior.This paper presents an efficient data-driven method based on three-dimensional two-phase numerical simulation and machine learning(ML)to rapidly predict the steady-state performance of proton exchange membrane electrolysis cells(PEMEC)under multi-physics field coupling conditions.The framework is based on three key operating parameters-temperature,pressure,and inlet flow velocity.A polarization curve dataset was constructed through multi-condition numerical simulations,and surrogate models were systematically trained using five distinct ML algorithms:random forest(RF),extreme gradient boosting(XGBoost),support vector regression(SVR),gaussian process regression(GPR),and fully connected neural network(FCNN).The results show that the constructed surrogate models can efficiently output complete polarization curves using only operating parameters as inputs.Validation against experimental results confirms that the FCNN performs the best overall prediction performance,achieving high accuracy with prediction errors consistently within±0.5%of the actual values across the interpolation temperature range,and demonstrating adaptability in extrapolation under varying temperatures.This ML collaborative method is applicable to the rapid performance assessment and analysis of PEMEC and provides valuable insights for operation optimization under extreme conditions.展开更多
This letter comments on a retrospective cohort study published in World Journal of Orthopedics by Liszka et al,examining the learning curve of lateral-approach total ankle replacement(TAR)using the Zimmer™system.The s...This letter comments on a retrospective cohort study published in World Journal of Orthopedics by Liszka et al,examining the learning curve of lateral-approach total ankle replacement(TAR)using the Zimmer™system.The study provides a multidimensional evaluation of surgeon performance by integrating patientreported outcome measures,operative efficiency,and complication profiles.Notably,improvements in pain and function,assessed using the Manchester-Oxford Foot Questionnaire and the European Foot and Ankle Society score,were consistent from the earliest cases,suggesting early stabilization of patient-reported outcomes despite increasing surgical experience.In contrast,operative time and complication rates improved progressively and plateaued after approximately 25-30 cases,reflecting maturation of technical proficiency.This article highlight key methodological strengths,including single-surgeon consistency,validated outcome measures,and structured learning-curve analysis,while also addressing limitations related to retrospective design,attrition,procedural heterogeneity,and generalizability.The concentration of infection-related complications in patients with inflammatory arthritis underscores the importance of careful patient selection and preoperative optimization,particularly during the early learning phase.Overall,the in-press study contributes meaningful insights into the learning dynamics of lateral-approach TAR and informs surgical training,credentialing,and future prospective investigation.展开更多
BACKGROUND Gastric endoscopic submucosal dissection(ESD)is a minimally invasive therapeutic procedure indicated for en bloc resection of superficial gastric neoplasms,especially in cases of early-stage gastric adenoca...BACKGROUND Gastric endoscopic submucosal dissection(ESD)is a minimally invasive therapeutic procedure indicated for en bloc resection of superficial gastric neoplasms,especially in cases of early-stage gastric adenocarcinoma.Its implementation has been widely consolidated in Asian countries and is growing steadily at Western endoscopy units.AIM To analyze the learning curve of gastric submucosal endoscopic dissection in one of the largest Western series reported to date.METHODS A retrospective study was conducted,including patients who underwent ESD for superficial gastric neoplasms between 2009 and 2025.Patients were divided into 4 consecutive chronological phases to assess temporal trends in outcomes:(1)Phase I:From case 1 to case 40;(2)Phase II:From case 41 to case 80;(3)Phase III:From case 81 to case 120;and(4)Phase IV:From case 121 to case 162.The following parameters were analyzed:en bloc resection rate,complete resection rate(R0),curative resection rate,adverse event rate,histopathological report of the resected specimen,and location of the lesion.RESULTS A total of 164 ESD procedures were performed.The duration of the first phase,second phase,third phase,and fourth phase was 77 months,40 months,37 months,and 50 months,respectively.In the first phase of the study(phase I)the mean tumor size,mean procedure time,en bloc resection rate,complete resection rate and curative resection rate were:21.5 mm,99.4 minutes,97.5%(39/40),92.5%(37/40)and 87.5%(35/40)respectively,while in the last phase of the study(phase IV)those features were:25.6 mm,107.7 minutes,90.4%(38/42),83.3%(35/42)and 78.5%(33/42)respectively.Likewise,the overall rate of adverse events in phase I was 0%and in phase IV was 7.1%(3/42)(P=0.35)(mortality associated with the procedure:0%).The Cumulative Sum Curve showed a turning point in the curve in case number 112.CONCLUSION Proficiency in gastric ESD takes more than one hundred procedures to be achieved in Western settings,with high standards of safety and efficacy,provided that rigorous and systematic training is combined with a planned progression of case complexity.展开更多
基金supported by the National Natural Science Foundation of China(Nos.U21B6003,U20A2069,and 12202372)the China Postdoctoral Science Foundation(No.2022M712653)。
摘要Waverider design based on osculating theory presents two critical issues:robust specification of design curves and accurate solution of the basic flowfield.Although the existing parametric approaches have advanced rapid configuration generation through geometric parameterization frameworks,they critically neglect the inherent coupling between aerodynamic constraints and geometric design parameters.To overcome this limitation,an Aerodynamics-Informed Parametric(AIP)method is developed by analytically deriving three waverider design curves and integrating them with the second-order curved shock theory.This method enables rapid waverider surface design while accounting for inflow conditions and shock wave geometry.Three typical waveriders,each featuring distinct combinations of design curves as inputs,are constructed and evaluated through inviscid and viscous numerical simulations to validate the applicability and accuracy of the AIP method.The results indicate that waveriders derived using the AIP method successfully reproduce the preassigned shock waves and original flowfields.Compared to traditional waverider design techniques based on the method of characteristics,the AIP method reduces computation time by approximately 94%,while maintaining errors in the inviscid lift-to-drag ratio,viscous lift-to-drag ratio,and volumetric efficiency below 0.1%,4.0%,and 0.1%,respectively.Additionally,a specially designed model is fabricated for the wind-tunnel tests to analyze the hypersonic aerodynamic performance of the waverider.Both numerical and experimental results confirm the feasibility of the AIP method,making it a promising candidate for waverider design and optimization.
基金supported by the National Key Research and Development Program of China(2022YFD1500904)the National High-Tech Research and Development Program of China(863 Program,China)during the 12th 5-Year Plan(2013AA102902)。
摘要This study aimed to develop a nitrogen fertilization strategy for rainfed maize systems on the Loess Plateau,based on an optimal available nitrogen supply,to meet soil N availability with crop demand while minimizing groundwater quality damage from nitrate leaching.A three-year field experiment was conducted with varying planting density and N rate.The optimal relative yield was achieved at an integrated nitrogen nutrition index of 1.0 with an available N supply(ANS,mineral N fertilizer plus initial soil nitrate N)around 300 kg ha-1,which represented the optimal level for minimizing soil nitrate residues without yield penalty.This ANS-based framework offers a practical strategy for sustainable N management in rainfed maize production under variable climatic conditions.
基金partially supported by the National Natural Science Foundation of China(62273182,61773213,U21B6001,62273121,62221004,62073166)。
摘要Dear Editor,This letter deals with the formation control problem of a multiagent system that moves along a closed curve and is subject to position constraints.A distributed formation control law is developed under which the position constraint of each agent can always be satisfied.Due to the existence of position constraints,prescribed formations generally cannot be achieved by the agents.
基金supported by the National Natural Science Foundation of China(Grant Nos.52379107 and 52309141).
摘要The capillary pressure curve provides fundamental insights into the dynamics of fluid-fluid displacement and phase distributions.Capillary scaling is crucial for extrapolating capillary pressure-saturation data from laboratory tests to field applications.However,the classic scaling method fails to capture the effect of wettability as the pore surface approaches neutral wetting.Here,inspired by the role of pore-filling events in controlling fluid-fluid displacement,we perform a theoretical analysis of the burst events occurring during drainage processes.We find that the median threshold capillary pressure,which corresponds to the occurrence of burst events for the median pore throat,is closely correlated with the capillary pressure curve across various contact angles.Using this concept,we propose a new scaling method for capillary pressure curves under various wetting conditions.We conduct microfluidic experiments and pore-network modeling across different contact angles,porosities,and disorders to evaluate the new scaling methods,indicating that the new scaling method performs better than the Leverett J-function as the contact angle approaches 90°.We further perform geometry analysis on the critical radius of curvature for burst events in an ideal tetrahedral arrangement and extend the new scaling method to 3D(three-dimensional)porous media.Model evaluation shows that the 3D version of the scaling method also performs well but requires fewer parameters compared to the Leverett J-function.Our work enhances the prediction and interpretation of experimental data for capillary pressure curves under various wet conditions,and more importantly,establishes a methodology that relates Darcy-scale flow behavior to pore-scale fluid displacements.
基金supported by the National Engineering Research Center of High-speed Railway Construction Technology(Grant No.HSR202302).
摘要This paper proposes the analytical solutions involving damping effects for the dynamic response of a simply supported thin-walled curved beam under uniformly variable two-axle moving loads in four directions:vertical,torsional,radial,and axial.The warping stiffness and damping of the thin-walled beam were comprehensively considered in the vibration control equations.Unlike traditional one-axle load cases,this study employs a more realistic two-axle vehicle load model.Based on the modal superposition method,the control vibration equations for thin-walled curved beams in-plane and out-ofplane under variable speed moving loads were solved using a combination of the Fourier sine transform method,the Galerkin method,and the Laplace transform method.Analytical solutions for the dynamic responses were derived in integral form,facilitating direct numerical computation.The proposed computational method’s effectiveness and accuracy were validated against published research.Subsequently,the dynamic responses of the thin-walled curved beam under one-axle and two-axle moving load models were compared,and the effects of initial load velocity,load acceleration,and center angle of the curved beam on the dynamic responses were investigated through extensive parameter research.The research results provide valuable insights into the structural behavior of thin-walled curved beams under the moving loading with variable speed.
摘要The original online version of this article was revised:The layout update for Article 758 has impacted the page range in the published issue,but did not affect the scholarly content.To ensure consistency with the originally assigned pages(2595-2614),we will need to publish an erratum to correct the article and restore the original page range.The original article has been corrected.
基金supported by the National Natural Science Foundation of China(No.82174122)Shanghai Municipal Health Commission Health Discipline Leader Program(No.2022XD011)Shanghai Shenkang Hospital Development Center City Hospital Clinical Skills and Management Enhancement Program(No.SHDC12023113).
摘要This single-center retrospective cohort study evaluated the feasibility,safety,and learning curve of extraperitoneal single-port robot-assisted radical prostatectomy using the da Vinci Xi platform for localized prostate cancer.The data of 200 consecutive patients with localized prostate cancer who underwent this procedure by a single surgeon at Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine(Shanghai,China)from June 2021 to January 2023 were collected.Key outcomes included operative time,estimated blood loss,complications,biochemical recurrence,and continence recovery.A cumulative sum analysis identified three learning phases:initial learning(≤50 cases),consolidation(51-155 cases),and proficiency(>155 cases).Across phases,operative time decreased by 19.5%(from 174 min to 140 min),estimated blood loss decreased by 40.9%(from 115 ml to 68 ml),and positive surgical margin rate decreased by 61.1%(from 35.2%to 13.7%).At 12 months,98.0%of the patients achieved continence,and 5.0%experienced biochemical recurrence.Minor complications occurred in 8.5%of the cases,with no severe events reported.Despite its technical challenges and steep learning curve,the extraperitoneal single-port robotic prostatectomy using the da Vinci Xi platform was observed to be safe,feasible,and reproducible,yielding favorable perioperative,functional,and oncological outcomes,even during the initial phase of skill acquisition.
摘要BACKGROUND According to recent systematic reviews and meta-analyses,the long-term results of total ankle replacement(TAR)are equivalent or superior to ankle arthrodesis with an average 10-year survival approaching 90%.Almost all fourth-generation TAR implants are inserted from the anterior approach except for ZimmerTM,which is implanted laterally and with lateral malleolus osteotomy.AIM To evaluate the clinical outcomes and complication rates and to define a multifactorial learning curve of lateral approach TAR.METHODS This single-center retrospective cohort study included 85 ZimmerTMlateralapproach TARs performed by one surgeon from 2019 to 2024.Patient-reported outcome measures were evaluated in 65 patients using the Manchester-Oxford Foot Questionnaire(MOXFQ)and European Foot and Ankle Society(EFAS)scores.Underlying diagnoses,functional outcomes,operative time trends,secondary procedures,and complications rates were analyzed to define a learning curve considering the first 60 consecutive cases.RESULTS The mean follow-up was 30.8 months.Post-traumatic arthritis was the most common underlying diagnosis accounting for 53.5%of cases.Mean EFAS improved by 13.0 points(P0.4),indicating that proficiency is readily achieved due to the short learning curve of this technique.Operative time decreased from approximately 175 min to 125 min after about 25-30 cases.Complication rates declined with experience.In the first 30 cases,there were 19 reoperations in 13 patients(43%)with an additional 5 being managed conservatively compared with 10 reoperations in 7 patients(23%)with 2 conservatively treated complications in the subsequent 30 cases(relative risk=1.86,P>0.05).Infection-related revisions also decreased markedly from 5(16.7%)to 1(3.3%)(relative risk=5.00,P>0.05)between these cohort.Two cases of deep infection occurred in patients with rheumatoid arthritis.One was successfully managed with debridement,and the other required implant removal with cement spacer implantation.CONCLUSION Lateral-approach TAR achieved early patient-reported outcome measure benefits with efficiency and safety improving with experience,requiring 30 cases.This rapid learning curve integrates functional outcomes,operative timing,and complication rates.
基金the National Natural Science Foundation of China(Grant No.42272312)Ningbo Youth Science and Technology Innovation Talent Project(Grant No.2024QL057)the Zhejiang Provincial Xinmiao Talents Program(Grant No.2024R405B093).
摘要The soil-water retention curve(SWRC)plays a pivotal role in understanding water movement across numerous geological engineering applications.Despite significant advancements in theoretical modeling approaches,accurate prediction of SWRCs remains challenging due to the inherently sparse and incomplete nature of site-specific data.This study compiled a comprehensive dataset of SWRCs spanning a wide suction range from various published literature sources.Based on this dataset,multiple machine learning(ML)algorithms were employed to predict SWRCs.The performance of each algorithm was evaluated and ranked using four statistical indicators that quantify simulation accuracy.Feature importance analysis was subsequently conducted to reduce dimensionality by eliminating weakly correlated variables,thereby enhancing both model adaptability and computational efficiency.Following dimensionality reduction,a base learner pool was constructed and integrated through stacked generalization to create a multi-algorithm ensemble model.The proposed stacked model demonstrated robust performance in simulating SWRCs across diverse soil types,using only basic physical properties as inputs,achieving accuracy comparable to or marginally superior to the LightGBM model.The principal advantage of the stacked approach lies in its substantially improved accuracy within high suction ranges,effectively overcoming the limitations observed in LightGBM and enhancing the estimation under these conditions.This study provides valuable insights for researchers evaluating SWRCs through ML algorithms and demonstrates the potential of ensemble techniques in geotechnical prediction tasks.
摘要Background:The European Association of Urology(EAU)recommends transperineal biopsy(TPBx)due to its lower infection risk and higher diagnostic rate for anterior zone tumors.This study aims to assess the learning curve of TPBx using the Perino-Flex R®angle-adjustable needle guide under local anesthesia.Methods:A retrospective observational analysis was conducted from November 2023 to March 2024,involving 100 patients who underwent TPBx with coaxial technique under local anesthesia.Data collected included patient demographics,procedure and room times,pain levels,anxiety scores,and complications.The study focused on comparing procedure times,pain scores,and complication rates to evaluate the learning curve over time.Results:The mean room time significantly decreased from 29.55 min in the first group to 19.95 min in the fifth(p<0.001).Procedure time was reduced from 15.25 min in the first group to 7.50 min in the fifth(p<0.001).Visual Analog Scale(VAS)scores during core sampling demonstrated a significant decrease after the first 20 patients(2.70 vs.0.90 in the first and second quartile,respectively,p<0.001),indicating a rapid gain in operator proficiency.When splitting the first 20 patients into two subgroups,pain scores significantly dropped after the initial 10 cases.Cancer detection rates remained stable across all groups.Notably,no infectious complications were observed throughout the study.Conclusion:This study highlights the learning curve for TPBx with an adjustable needle guide under local anesthesia.It shows that as experience grows,pain decreases and procedure times shorten,improving both patient comfort and efficiency.These findings offer valuable guidance for new practitioners to learn more quickly and achieve better diagnostic results.
基金by financed by the Spanish Ministry of Science, Innovation andUniversities, the Spanish State Research Agencyby the European Union (FSE+), through the projects‘Control and Planning of Processes Subject toHighVariability andUncertainty’ (CyPVar) PID2024-157718OB-C33+2 种基金‘Optimal real-timemanagement under uncertainty for digital twins (OptiDit)’, PID2021-123654OB-C33‘AdvancedLearning for Improving Productivity in Smart Factories’ (PID2021-126659OB-I00)funded withSamuel Martinez-Gutierrez pre-doctoral contract for University Teacher Training (FPU), call 2022, awarded by theSpanish ministry of Science, Innovation and Universities.
摘要Accuratemodelling of power production in wind power systems is essential for optimizing their real-time operation and meeting technical or economic objectives.However,the precisemodelling of wind turbine power output remains challenging,particularly when relying on conventional parametric models,which often struggle to capture complex or non-linear behaviors.This paper compares three modelling approaches to estimate the power produced by a real wind turbine(a Senvion MM82/2050 located in France):one parametric,based on analytical expressions of the power coefficient CP(λ,β);another nonparametric,which uses Gaussian processes(GP)to probabilistically model the relationship between operating variables and the power generated;and a third semiparametric approach,which uses a physics-informed GP that explicitly incorporates the wind conversion model based on the power coefficient CP(λ,β)within the Gaussian process as a mean function.Parametric models are efficient,interpretable,and useful when the underlying system model is known;however,they exhibit less predictive power in the face of complex behavior.In contrast,GPs offer greater flexibility,quantify uncertainty,and adapt to complex patterns in the data;however,their extrapolation outside the training range is limited and can lead to erroneous or even physically impossible predictions.The physics-informed GP integrates physical knowledge about the conversion of wind speed to power,improving the estimations outside the training range.Four model estimation procedures were performed using real data obtained from the SCADA system:the first one,retrieves the parameters of the power coefficient Cp from the physical model;the second estimates the hyperparameters of the GP;the third simultaneously estimates both the Gaussian process hyperparameters and the power coefficient parameters of the physics-informed GP;and the fourth computes only the hyperparameters of the physics-informed GP,keeping the optimal power coefficient parameters obtained in the first procedure.The fitting results were analyzed using the Root Mean Square Error(RMSE)and Mean Absolute Error(MAE)as metrics,as well as the time required for fittingraining.The results show that the parametric approach has a lower predictive capacity than the GP and physics-informed GP.The latter has an RMSE that is slightly lower than that of the standard GP and makes more accurate predictions in regions with limited or no data availability.The results also show a trade-off between accuracy and computational efficiency,the physics-informed GP has a training time considerably longer than that of the other twomodels,nevertheless,it is a valuable tool when prediction robustness is a priority.Finally,the results highlight the need to include additional explanatory variables to better capture the observed dispersion and the effect of the high short-term variability of the 1-min SCADA measurements on model fitting.
基金supported by the National Natural Science Foundation of China(Grant No.12202365)the Guangdong Basic and Applied Basic Research Foundation(Grant Nos.2022A1515011565 and 2023A1515010031)+3 种基金Natural Science Foundation of Chongqing(Grant No.2022NSCQ-MSX5709)the China Postdoctoral Science Foundation funded project(Grant Nos.2021M692633 and 2022T150534)the Open Topics of the Key Laboratory of Cross-Domain Flight Interdisciplinary Technology(Grant No.2024-KYKF-2002)the Northwestern Polytechnical University’s Future Industry Proof-of-Concept Project for Aerospace Propulsion(Grant No.24GNYZ0001-04).
摘要The reliable initiation of oblique detonation waves(ODWs)represents a critical factor determining the operational performance of oblique detonation engines(ODEs).While previous research has predominantly focused on idealized semi-infinite wedge configurations,such studies have consistently revealed challenges including wave instability,detonation quenching,and compromised engine efficiency.This study presents a numerical investigation of initiation mechanisms and flow field characteristics in ODWs induced by curved surfaces.The analysis employs two-dimensional,multispecies,compressible Reynolds-averaged Navier-Stokes equations coupled with a detailed acetylene combustion model.Key results demonstrate that curved-surface-induced detonations achieve a substantially wider standing range than wedge-induced counterparts,primarily attributable to sustained compression effects generated by concave geometries.Notably,at small wedge angles,the curved surface configuration significantly reduces the detonation initiation distance.The initial formation phase reveals unstable behavior characterized by the large-angle overdriven detonation wave originating from the downstream steep wall section,which subsequently migrates upstream before stabilizing.Detailed examination of the wave structure identifies four distinct components:a curved shock wave(CSW),an overdriven detonation front,a transmitted shock wave,and a supersonic jet flow.Within this configuration,we observe an alternating reflection pattern of expansion waves and compression waves in the supersonic jet region,arising from Type IVr shock-shock interactions between the overdriven detonation wave and the CSW.Viscous effects analysis shows that the gradual curvature transition between the wall and flat plate effectively attenuates shock wave/boundary layer interactions.Furthermore,increased boundary layer thickness is found to significantly alter the ODW morphology while simultaneously inhibiting upstream propagation of the downstream overdriven detonation wave.These findings provide fundamental insights into the complex fluid dynamics governing ODEs,offering valuable implications for the development of more stable and efficient propulsion systems.
摘要The present study investigates the flow,heat,and mass transfer analysis in the bioconvection of nanofluid containing motile gyrotactic microorganisms through a semi-porous curved oscillatory channel with a magnetic field.These microorganisms produce density gradients by swimming,which induces macroscopic convection flows in the fluid.This procedure improves the mass and heat transfer,illustrating the interaction between biological activity and fluid dynamics.Furthermore,instead of considering traditional Fourier's and Fick's law the energy and concentration equations are developed by incorporating Cattaneo-Christov double diffusion theory.Moreover,to examine the influence of thermophoresis and Brownian diffusions in the fluid we have adopted the Buongiorno nanofluid model.Due to the oscillation of the surface of the channel,the mathematical development of the considered flow problem is obtained in the form of partial differential equations via the curvilinear coordinate system.The convergent series solution of the governing flow equations is obtained after applying the homotopy analysis method(HAM).The effects of different pertinent flow parameters on velocity,motile microorganism density distribution,concentration,pressure,temperature,and skin friction coefficient are examined and discussed in detail with the help of graphs and tables.It is observed during the current study that the density of microorganisms is enhanced for higher values of Reynolds number,Peclet number,radius of curvature variable,and Lewis number.
基金supported in part by the National Natural Science Foundation of China(Grant No.12201326)。
摘要In this article,the large-time asymptotic wave dynamics of rogue curves are analytically investigated and numerically confirmed in the Davey-Stewartson(DS)I equation.We show that,when time in bilinear expressions of the rogue curves is large,a certain number of localized lump-shaped waves would arise on the uniform background,exhibiting various wave patterns.We further show that,as time increases,the individual lump-shaped wave asymptotically evolves into a line soliton on the constant background that persist at large time.By performing large-time asymptotic analysis,we reveal that such wave patterns as well as the numbers of lump-shaped waves can be analytically determined by the structure of nonzero roots of the Wronskian-Hermite polynomials.Our asymptotic predictions are compared to true solutions quantitatively and excellent agreement is obtained.
基金Rabindra NathMondal(R.N.Mondal),one of the authors,would like to gratefully acknowledge the financial support from Jagannath University,Dhaka to conduct this research work(Ref.No.JnU/Research/Pro-38/2024/281,Dated:09 April 2025),URL:www.jnu.ac.bd.
摘要Due to ample engineering and industrial applications involving electrically conducting fluids,such as in magnetic flow control devices,thermal magnetic systems,magnetic filtration and separation,and fluid transport in curved rotating channels,the present study examines the impacts of pressure-induced instability characteristics and chaotic nature of Magneto-hydrodynamic fluid flow in a rotating curved square duct(CSD),incorporating Hall and ion-slip currents.The rotational speed(ΩT)around the vertical axis of the duct is constant while a variable transverse magnetic field is applied perpendicular to the fluid.The numerical solutions are obtained through the spectral method as a primary tool supported by additional techniques,including Chebyshev polynomial expansions and the collocation approach for the Dean number 0<Dn≤6500 over the magnetic parameter(M)0.5≤M≤50.0.It demonstrates that augmenting the magnetic parameter decreases the flux value,while the Hall and ion slip currents show the opposite effect,but no significant impacts are seen on the velocity distribution.The study also shows that the bifurcation zone shifts to higher Dn and gradually weakens,while the steady curve approaches symmetry as the magnetic field is intensified.Linear stability analysis shows that the linearly stable region steadily grows as M increases,and for M≥32.63,the flow becomes linearly stable.Time evolution computations are carried out to study the unsteady behavior of the flow,and it is predicted that the multi-periodic or chaotic flow progressively transforms into a steady-state nature with the augmentation of the magnetic parameter.The transient flow experiences various instabilities,including asymmetric 2-to 4-vortex solutions.
基金supported by the National Key R&D Program of China(2023YFA1010800)the NSFC(12271435,12301113).
摘要In this paper,we consider convergence properties for generalized Schrödinger operators along tangential curves in ℝn×ℝ with less smoothness comparing with Lipschitz condition.Firstly,we obtain sharp convergence rate for generalized Schrödinger operators with polynomial growth along tangential curves in ℝn×ℝ,n≥1.Secondly,we get the convergence result along a family of restricted tangential curves in ℝ×ℝ.As a corollary,we obtain the sharp Lp-Schrödinger maximal estimates along tangential curves in ℝ×ℝ.
基金appreciation to the Deanship of Scientific Research at Northern Border University,Arar,Saudi Arabia for funding this research work through the project number“NBU-SAFIR-2026”。
摘要Cracks can severely degrade the integrity and service performance of plate structures.Although most existing studies focus on identifying straight crack patterns using dynamic response data,curved crack paths have received far less attention,despite being more realistic in practice and having a stronger influence on structural behaviour.This study presents a computational and experimental framework for analyzing and identifying curved crack paths in cantilever plate structures based on dynamic response characteristics.Curved crack paths are modelled using second-order polynomial equations.Finite Element Analysis(FEA)is employed to evaluate the effects of polynomial coefficients and crack end abscissa(xend)on natural frequency and resonance amplitude,while experimental modal analysis(EMA)on damping ratio.Forward and inverse identification models are then developed using linear regression(LR)and artificial neural networks(ANN)to predict dynamic response characteristics and estimate crack path.Results show that the quadratic coefficient(a)and linear coefficient(b)of the crack path have the most decisive influence on the plate’s vibration characteristics,whereas the constant term(c)has a negligible effect.Also,the crack paths with greater curvature and inclination,represented by higher a and b coefficients,especially at smaller end abscissae(xend),tend to reduce natural frequencies and increase vibration amplitudes and damping ratios.In contrast,smoother,less curved cracks exhibit the opposite behaviour.These curved crack geometries cause greater stiffness degradation by altering both axial and shear stiffness.Consequently,local flexibility and energy dissipation increase due to enhanced crack-surface interaction and localised deformation.The proposed computational models are experimentally validated using 15 fabricated plates with different curved crack profiles,demonstrating high prediction accuracy.Overall,the study enhances the computational identification and characterization of curved cracks in plate structures,contributing to improved damage assessment and structural health monitoring(SHM)based on dynamic response.
基金funded by the National Key Research and Development Program of China(Grant No.2022YFB4002002).
摘要The prediction of the steady-state performance of the electrolysis cell is not only crucial for evaluating the rationality of its design and operational benchmarks,but also provides an important foundation for understanding its dynamic response behavior.This paper presents an efficient data-driven method based on three-dimensional two-phase numerical simulation and machine learning(ML)to rapidly predict the steady-state performance of proton exchange membrane electrolysis cells(PEMEC)under multi-physics field coupling conditions.The framework is based on three key operating parameters-temperature,pressure,and inlet flow velocity.A polarization curve dataset was constructed through multi-condition numerical simulations,and surrogate models were systematically trained using five distinct ML algorithms:random forest(RF),extreme gradient boosting(XGBoost),support vector regression(SVR),gaussian process regression(GPR),and fully connected neural network(FCNN).The results show that the constructed surrogate models can efficiently output complete polarization curves using only operating parameters as inputs.Validation against experimental results confirms that the FCNN performs the best overall prediction performance,achieving high accuracy with prediction errors consistently within±0.5%of the actual values across the interpolation temperature range,and demonstrating adaptability in extrapolation under varying temperatures.This ML collaborative method is applicable to the rapid performance assessment and analysis of PEMEC and provides valuable insights for operation optimization under extreme conditions.
摘要This letter comments on a retrospective cohort study published in World Journal of Orthopedics by Liszka et al,examining the learning curve of lateral-approach total ankle replacement(TAR)using the Zimmer™system.The study provides a multidimensional evaluation of surgeon performance by integrating patientreported outcome measures,operative efficiency,and complication profiles.Notably,improvements in pain and function,assessed using the Manchester-Oxford Foot Questionnaire and the European Foot and Ankle Society score,were consistent from the earliest cases,suggesting early stabilization of patient-reported outcomes despite increasing surgical experience.In contrast,operative time and complication rates improved progressively and plateaued after approximately 25-30 cases,reflecting maturation of technical proficiency.This article highlight key methodological strengths,including single-surgeon consistency,validated outcome measures,and structured learning-curve analysis,while also addressing limitations related to retrospective design,attrition,procedural heterogeneity,and generalizability.The concentration of infection-related complications in patients with inflammatory arthritis underscores the importance of careful patient selection and preoperative optimization,particularly during the early learning phase.Overall,the in-press study contributes meaningful insights into the learning dynamics of lateral-approach TAR and informs surgical training,credentialing,and future prospective investigation.
摘要BACKGROUND Gastric endoscopic submucosal dissection(ESD)is a minimally invasive therapeutic procedure indicated for en bloc resection of superficial gastric neoplasms,especially in cases of early-stage gastric adenocarcinoma.Its implementation has been widely consolidated in Asian countries and is growing steadily at Western endoscopy units.AIM To analyze the learning curve of gastric submucosal endoscopic dissection in one of the largest Western series reported to date.METHODS A retrospective study was conducted,including patients who underwent ESD for superficial gastric neoplasms between 2009 and 2025.Patients were divided into 4 consecutive chronological phases to assess temporal trends in outcomes:(1)Phase I:From case 1 to case 40;(2)Phase II:From case 41 to case 80;(3)Phase III:From case 81 to case 120;and(4)Phase IV:From case 121 to case 162.The following parameters were analyzed:en bloc resection rate,complete resection rate(R0),curative resection rate,adverse event rate,histopathological report of the resected specimen,and location of the lesion.RESULTS A total of 164 ESD procedures were performed.The duration of the first phase,second phase,third phase,and fourth phase was 77 months,40 months,37 months,and 50 months,respectively.In the first phase of the study(phase I)the mean tumor size,mean procedure time,en bloc resection rate,complete resection rate and curative resection rate were:21.5 mm,99.4 minutes,97.5%(39/40),92.5%(37/40)and 87.5%(35/40)respectively,while in the last phase of the study(phase IV)those features were:25.6 mm,107.7 minutes,90.4%(38/42),83.3%(35/42)and 78.5%(33/42)respectively.Likewise,the overall rate of adverse events in phase I was 0%and in phase IV was 7.1%(3/42)(P=0.35)(mortality associated with the procedure:0%).The Cumulative Sum Curve showed a turning point in the curve in case number 112.CONCLUSION Proficiency in gastric ESD takes more than one hundred procedures to be achieved in Western settings,with high standards of safety and efficacy,provided that rigorous and systematic training is combined with a planned progression of case complexity.