Multi-source errors,as critical obstacles limiting the accuracy retention and machining performance of machine tools,hold fundamental and strategic significance for achieving high-precision,high-efficiency,and high-re...Multi-source errors,as critical obstacles limiting the accuracy retention and machining performance of machine tools,hold fundamental and strategic significance for achieving high-precision,high-efficiency,and high-reliability machining in modern manufacturing systems.However,these errors typically exhibit complex characteristics such as strong coupling,time-variance,and nonlinearity,which challenge traditional methods of error identification,modeling,and compensation in terms of adaptability,real-time capability,and integration.Therefore,it is imperative to establish a systematic and intelligent multi-source error control framework.Firstly,this work systematically reviews typical error sources and their evolution mechanisms,evaluates multi-scale detection technologies including laser interferometry,double ball-bar systems,multi-sensor fusion,and vision-based systems,and constructs an intelligent error identification and evaluation framework.Next,it reviews classical modeling methods such as homogeneous transformation matrices,screw theory,thermal equilibrium models,finite element analysis,and modal analysis,compares physical modeling,data-driven,and hybrid modeling strategies,and develops an integrated multi-source error modeling architecture centered on digital twin technology and artificial intelligence.Furthermore,key technologies,including geometric error mapping and real-time compensation,online thermal error prediction and active temperature control,dynamic error suppression,and adaptive control,are summarized.A multi-level integrated error compensation architecture is proposed by combining physical models,data models,and cyber-physical synchronization.This architecture encompasses core processes such as error traceability and decoupling,dynamic prediction,real-time compensation,and closed-loop optimization,emphasizing engineering implementation mechanisms based on cyber-physical collaboration,multi-physics coupling,and multi-scale fusion,thereby effectively enhancing accuracy stability and control robustness under complex operating conditions.Finally,frontier challenges such as constructing high-fidelity coupled models from heterogeneous multi-source data,edge-cloud collaborative control,and cross-platform interoperability are discussed.The application prospects of multi-source error evaluation are also envisioned,providing theoretical foundations and technical support for the precise management and optimization of the entire lifecycle accuracy of machine tools.展开更多
The aero-engine blisk has large size and complex structure,leading to drastic variations in driving axis speed during machining process,which brings a critical challenge for efficient and stable contouring error contr...The aero-engine blisk has large size and complex structure,leading to drastic variations in driving axis speed during machining process,which brings a critical challenge for efficient and stable contouring error control.Pure trajectory planning fails to perfectly smooth the variation of speed due to the complex structure of blisk.Additionally,advanced controllers often reduce the stability of control systems,limiting their application in commercial Computer Numerical Control(CNC)machine tools.To address these problems,this paper proposes an effective and practical contouring error prediction and compensation method for a blisk machining center.First,the tracking error of driving axis is accurately calculated to overcome the time delay in feedback.Subsequently,the contouring error is predicted combining the tracking error of driving axis with the geometrical structure of blisk machining center.In terms of contouring error compensation,speed feedforward compensation is employed to enhance the tracking performance of driving axis,while command modification is applied to further improve contouring accuracy without affecting system stability.Based on the experimental results,the tracking error of driving axis and contouring error achieve high prediction accuracy with the deviations of average values below 6.49%and 12.41%under three different motion conditions,respectively;moreover,the contouring error of the sample trajectory is reduced to the micron level after speed feedforward compensation,and further decreased more than 32.85%through command modification.A typical blisk sample is finally machined successfully,validates the effectiveness and practicability of the proposed method.展开更多
Action errors-unintentional deviations from goals,rules,or standards-are an inevitable part of work in construction.Understanding how individuals and organizations can embrace and"learn through errors"(i.e.,...Action errors-unintentional deviations from goals,rules,or standards-are an inevitable part of work in construction.Understanding how individuals and organizations can embrace and"learn through errors"(i.e.,how to handle them effectively)is crucial for contributing to project success.However,within construction,a prevailing belief persists that errors can and should be eliminated,fostering a zero-tolerance mindset.Organizations that adopt this mindset risk stifling their capacity to learn,innovate,and improve profitability.While errors can indeed have negative consequences,they also play a vital role in enabling learning and innovation.Given the limited empirical research on action errors in construction,this paper aims to stimulate inquiry into this promising area of study.It briefly outlines different forms of error orientation and proposes directions for future research relevant to construction organizations.The contributions of this paper are twofold,as it:①advocates for construction organizations to broaden their understanding of errors to enhance their learning capability and②identifies ways in which organizations can improve their capacity to learn and innovate through error management.展开更多
Research on Error Propagation and Control Technologies in Prefabricated Building Construction. With the rapid development of prefabricated construction in China, error management during the construction process has be...Research on Error Propagation and Control Technologies in Prefabricated Building Construction. With the rapid development of prefabricated construction in China, error management during the construction process has become a critical challenge affecting project quality and safety. This paper comprehensively examines the mechanisms of error propagation and corresponding control methods throughout the entire prefabricated building construction process. It first identifies the primary causes and types of construction errors, analyzes the fundamental characteristics of error propagation during component manufacturing, transportation, lifting, and assembly, and conducts an in-depth investigation into the potential impacts on the structural performance and operational efficiency of the final building structure.展开更多
There has been an increasing emphasis on performing deep neural network(DNN)inference locally on edge devices due to challenges such as network congestion and security concerns.However,as DRAM process technology conti...There has been an increasing emphasis on performing deep neural network(DNN)inference locally on edge devices due to challenges such as network congestion and security concerns.However,as DRAM process technology continues to scale down,the bit-flip errors in the memory of edge devices become more frequent,thereby leading to substantial DNN inference accuracy loss.Though several techniques have been proposed to alleviate the accuracy loss in edge environments,they require complex computations and additional parity bits for error correction,thus resulting in significant performance and storage overheads.In this paper,we propose FeatherGuard,a data-driven lightweight error protection scheme for DNN inference on edge devices.FeatherGuard selectively protects critical bit positions(that have a significant impact on DNN inference accuracy)against bit-flip errors,by considering various DNN characteristics(e.g.,data format,layer-wise weight distribution,actually stored logical values).Thus,it achieves high error tolerability during DNN inference.Since FeatherGuard reduces the bit-flip errors based on only a few simple arithmetic operations(e.g.,NOT operations)without parity bits,it causes negligible performance overhead and no storage overhead.Our experimental results show that FeatherGuard improves the error tolerability by up to 6667×and 4000×,compared to the conventional systems and the state-of-the-art error protection technique for edge environments,respectively.展开更多
Blisks have been widely adopted in various aero-engines due to the advantages such as simple structure and low loss.However,influenced by machining errors,the geometric inconsistency of blisk blades is significant,lea...Blisks have been widely adopted in various aero-engines due to the advantages such as simple structure and low loss.However,influenced by machining errors,the geometric inconsistency of blisk blades is significant,leading to deviations in the compressor performance from the design and scatter increase.To accurately assess performance uncertainty effects of machining errors using uncertainty quantification methods,‘statistical characteristics of machining errors’as uncertainty quantification inputs are particularly critical.This study is the first to highlight measured machining errors'uncertainty analysis for blisks.Measured machining errors from the front,middle,and rear stages of multi-stage compressor blisks are analyzed regarding their systematic deviations and scatters along the radial direction,and probability distribution characteristics.The results show that due to differences in clamping and fixing methods,the statistical characteristics of machining errors for‘blisk'differ from those of‘single blade’.Additionally,variations in material properties and sizes of blades at different compressor stages lead to differences in the statistical characteristics of machining errors.For different sections,systematic deviations and scatters in machining errors are notably significant near the blade tip,making it challenging to ensure machining consistency.For different stages,machining errors of the rear stage blades are the most scattering.Compared with the design geometry,several phenomena observed in most blades,such as‘under deflection’,‘thicker pressure/suction surfaces’and‘larger leading-edge radius’,should be improved,owing to their adverse effects in compressors.Furthermore,probability distributions of machining errors exhibit characteristics such as‘skewness’,‘bimodality’,and‘data missing’,indicating that traditional normal distributions are insufficient for accurately characterizing the above distributions.The research results provide a clear demonstration of the machining capabilities of compressor blisks and offer data support for correctly constructing probability models of machining errors,thereby enabling accurate prediction of their performance uncertainty effects.展开更多
Conventional error cancellation approaches separate molecules into smaller fragments and sum the errors of all fragments to counteract the overall computational error of the parent molecules.However,these approaches m...Conventional error cancellation approaches separate molecules into smaller fragments and sum the errors of all fragments to counteract the overall computational error of the parent molecules.However,these approaches may be ineffective for systems with strong localized chemical effects,as fragmenting specific substructures into simpler chemical bonds can introduce additional errors instead of mitigating them.To address this issue,we propose the Substructure-Preserved Connection-Based Hierarchy(SCBH),a method that automatically identifies and freezes substructures with significant local chemical effects prior to molecular fragmentation.The SCBH is validated by the gas-phase enthalpy of formation calculation of CHNO molecules.Therein,based on the atomization scheme,the reference and test values are derived at the levels of Gaussian-4(G4)and M062X/6-31+G(2df,p),respectively.Compared to commonly used approaches,SCBH reduces the average computational error by half and requires only15%of the computational cost of G4 to achieve comparable accuracy.Since different types of local effect structures have differentiated influences on gas-phase enthalpy of formation,substituents with strong electronic effects should be retained preferentially.SCBH can be readily extended to diverse classes of organic compounds.Its workflow and source code allow flexible customization of molecular moieties,including azide,carboxyl,trinitromethyl,phenyl,and others.This strategy facilitates accurate,rapid,and automated computations and corrections,making it well-suited for high-throughput molecular screening and dataset construction for gas-phase enthalpy of formation.展开更多
In order to autonomously calibrate the airborne clocks of deep space explorers,this paper proposes an X-ray pulsar-based airborne clock error estimation method.A pulse phase propagation model incorporating the clock e...In order to autonomously calibrate the airborne clocks of deep space explorers,this paper proposes an X-ray pulsar-based airborne clock error estimation method.A pulse phase propagation model incorporating the clock error is derived.Given that both the clock noise and the pulsar timing noise are of power-law spectral densities,their combination is modeled as a Fractional Brownian Motion(FBM)with a fractional-order power spectral density.The clock error series is modeled as a Gaussian Process(GP)with a mean function in the form of 2-order polynomial and an FBM-based covariance function.Finally,the clock error and the hyperparameters of GP are fast estimated by an iterated estimation method.The proposed method is validated via the real clock error data of the G05 satellite in the Global Positioning System(GPS)and the real data of pulsars from the Neutron star Interior Composition ExploreR(NICER).展开更多
Quantum error correction technology is based on the principle of redundant encoding,encoding logical quantum information into multiple physical qubits to provide important support for the stable operation of quantum c...Quantum error correction technology is based on the principle of redundant encoding,encoding logical quantum information into multiple physical qubits to provide important support for the stable operation of quantum computers.To address the issues of low decoding accuracy and limited feature extraction in quantum error correction,this paper proposes a toric code decoder based on a syndrome-preliminary error fusion module(SPEFM)and a ResNet architecture.This decoder takes full advantage of the correlations between X and Z errors.In the SPEFM,the syndrome and preliminary error predictions are deeply fused,while a unidirectional Swin transformer architecture is incorporated to extract global error features from the syndrome data,signiffiificantly improving both decoding accuracy and computational efffiificiency.In addition,this paper further extracts local error features from the fused features using the deep residual structure of ResNet,enhancing the decoder's ability to capture quantum error patterns.Experimental results show that the decoder is applicable to different code distances(d=4,6,8,10)under the depolarizing noise model.Its bit error rate is lower than that of the minimum weight perfect matching(MWPM)algorithm,and its logical error rate is lower than both the MWPM algorithm and the ResNet18 decoder.Furthermore,the decoding threshold is increased to 0.163,representing a 3.82%improvement over the MWPM algorithm threshold of 0.157.展开更多
Color-coded fringe patterns have emerged as a key technique for enabling real-time three-dimen-sional(3D)shape measurement in fringe projection profilometry(FPP).However,color crosstalk inherent in color cameras remai...Color-coded fringe patterns have emerged as a key technique for enabling real-time three-dimen-sional(3D)shape measurement in fringe projection profilometry(FPP).However,color crosstalk inherent in color cameras remains a significant factor limiting measurement accuracy.To mitigate this issue,a high-pre-cision calibration method for color crosstalk coefficients is proposed to enable effective correction in this pa-per.Specifically,a crosstalk coefficient estimator is developed based on orthogonal phase-shifted fringe pat-terns,and the theoretical relationship between the crosstalk coefficients and phase error is derived.The color orthogonal fringes are then designed to project onto a standard planar target to acquire separated R,G,and B channel patterns.Finally,a particle swarm optimization(PSO)algorithm is introduced to optimize the crosstalk-induced phase errors and calibrate the crosstalk coefficients with high precision.Experimental val-idation based on a standard dual-sphere calibration plate shows that the diameter fitting errors of the two spheres are 0.0191 mm and 0.0160 mm,respectively,and the error in the calculated center-to-center distance is as low as 0.0120 mm,which demonstrate that the proposed method can effectively enhance the measure-ment accuracy and applicability of color cameras in fringe projection technology.展开更多
In an ultraprecision turning process for small-diameter optical aspheric workpieces,tool-profile errors induce mid-frequency errors in the workpiece profile,limiting further improvements in precision.In this study,an ...In an ultraprecision turning process for small-diameter optical aspheric workpieces,tool-profile errors induce mid-frequency errors in the workpiece profile,limiting further improvements in precision.In this study,an XZB three-axis linkage ultraprecision machining method is proposed,and the effects of tool-center errors are analyzed.To address residual errors in Z-direction profile-error compensation,a workpiece normal-profile-error compensation method is proposed.After XZB three-axis linkage turning and compensation,the workpiece profile error(PV)reaches 0.086μm,surpassing the precision of XZ two-axis machining,and mid-frequency errors are reduced.Compared with Z-direction profile-error compensation,which results in a profile error of 0.092μm,normal-profile-error compensation reduces PV to 0.047μm,considerably improving aspheric accuracy.Experimental results demonstrate that XZB three-axis linkage machining significantly improves the aspheric workpiece profile,enhancing both its accuracy and surface quality.This method reduces mid-frequency errors,and the subsequent application of normal-profile-error compensation further refines the profile,achieving higher overall accuracy.展开更多
Hemispherical Resonator(HSR)is a typical high-performance component due to the complex coupling relationship between the machining errors and performance parameters.To understand the impact of machining errors on freq...Hemispherical Resonator(HSR)is a typical high-performance component due to the complex coupling relationship between the machining errors and performance parameters.To understand the impact of machining errors on frequency splitting,the frequency splitting model that couples the multiple machining errors was developed to elucidate the mechanism of frequency splitting and reveal the effect of geometric error parameters on frequency splitting innovatively.In addition,a method for characterizing machining errors is established to describe the circumferential mass uniformity of the hemispherical shell.Furthermore,measurement experiments of HSRs were performed to verify the accuracy of the model,and the results showed that the predicted errors of the model were within 15%.Both theoretical and experimental results demonstrated that the direct cause of frequency splitting is the uneven circumferential mass of HSR.In particular,the radial concentricity has the most significant influence on frequency splitting,followed by the coaxiality and roundness.Within the error range of 0–0.5μm,frequency splitting values change by 0.945 Hz,0.098 Hz,and 0.039 Hz,respectively.Furthermore,the coupling effect of machining errors and surface quality on frequency splitting was discussed,which showed machining errors is the predominant factor contributing to frequency splitting.This work not only enhance the understanding of the mechanism of frequency splitting,but also provide theoretical guidance for the parameter optimization involved in high-performance manufacturing of HSR.展开更多
The aerostatic spindle is a key component of ultra-precision machine tools,and its error motion is crucial to machining accuracy and reliability.Spindle error motion is unavoidable,and its online monitoring and predic...The aerostatic spindle is a key component of ultra-precision machine tools,and its error motion is crucial to machining accuracy and reliability.Spindle error motion is unavoidable,and its online monitoring and prediction are quite important.Currently,there are relatively few studies on the online monitoring and prediction methods for the aerostatic spindle,and the level of intelligence is relatively low.To address this problem,an error motion monitoring system based on digital twin(DT)technology was established for the aerostatic spindle.A spindle error motion prediction method based on a mechanism and data fusion model(MDFM)was proposed.Additionally,a highly available and interactive aerostatic spindle DT service platform was developed.Experimental results have verified the good performance of this platform.The platform facilitates interaction between the physical and virtual entities of the aerostatic spindle,enabling three-dimensional visualization,monitoring,prediction,and simulation of spindle error motion,and shows good potential for engineering applications.展开更多
Inborn errors of metabolism(IEMs)are a large group of disorders resulting from deficient activities in several metabolic pathways due to the dysfunction of a distinct enzyme associated with a biochemical pathway[1,2]....Inborn errors of metabolism(IEMs)are a large group of disorders resulting from deficient activities in several metabolic pathways due to the dysfunction of a distinct enzyme associated with a biochemical pathway[1,2].Toxic intermediates will be produced due to the dysfunction of biochemical pathways.The liver is responsible for many essential metabolic processes,therefore it becomes one of the most severely affected organ by metabolic diseases[3].Early onset of liver disorders in IEMs includes jaundice,hepatomegaly,splenomegaly,ascites,hepatic encephalopathy,and liver failure[4].In infants and young children under 3 years old with acute liver failure(ALF),IEMs account for 18.9%-43%[5].展开更多
Due to the nonlinear effects produced by the actual defocusing projection system,which affect the accuracy of phase measurement,the phase error of binary fringe defocusing projection was studied.Based on the analysis ...Due to the nonlinear effects produced by the actual defocusing projection system,which affect the accuracy of phase measurement,the phase error of binary fringe defocusing projection was studied.Based on the analysis of the current study status in the field,an expression for the intensity distribution of deformed fringe pattern signal in nonlinear systems is given,and the reasons for both high-order spectra components occurrence and their mixing with the fundamental frequency components,resulting in spectra overlapping,are analyzed.Defocus the projector to remove the higher-order harmonic components in the spectra domain and filter out one of the fundamental frequency components.An inverse Fourier transform was then performed on the spectra to obtain the expression of fringe intensity in the spatial domain.The continuous phase containing continuous signals was obtained using the phase-shift algorithm and phase unwrapping,and the expression for phase error after unwrapping in actual measurement systems was derived.The correct analysis of the basic principles has been verified through simulation and experiments.The simulation results indicate that the errors value obtained by the method mentioned in this paper are 34.51%for the binary fringe defocusing method,44.83%for sampling method of Ref.[1],and 67.83%for method of self-correction method of Ref.[10],respectively.The experiment results indicate that the phase recovered by using our method has good effects,and the corresponding phase error is relatively small.展开更多
Online programming platforms are popular in programming education.However,there has been no research investigating students’real opinions and expectations of the error feedback mechanisms,leaving educators without a ...Online programming platforms are popular in programming education.However,there has been no research investigating students’real opinions and expectations of the error feedback mechanisms,leaving educators without a solid data foundation when attempting to improve the error feedback mechanisms.This paper makes a survey of 834 students across various programming courses and investigates student perceptions of error feedback mechanisms on online programming platforms.It explores the effectiveness of existing feedback,student satisfaction,and preferences for potential improvements,focusing on automatic error localization and program repair mechanisms.Results reveal a significant portion of students are dissatisfied with current feedback due to its limited informativeness.Students also express a clear demand for stronger feedback mechanisms,such as error localization and repair hints.Nevertheless,they prefer feedback that subtly guides them toward solutions,rather than providing direct and explicit answers,valuing the opportunity to enhance their debugging skills.The findings suggest a need for balanced,educational-focused feedback mechanisms that aid learning while promoting independent problem-solving.展开更多
This study introduces a nonlinear error-compensated air-displacement pipettor(NEC_ADP),a novel system that addresses the key limitations in commercial pipetting setups.By incorporating nonlinear error-compensation(NEC...This study introduces a nonlinear error-compensated air-displacement pipettor(NEC_ADP),a novel system that addresses the key limitations in commercial pipetting setups.By incorporating nonlinear error-compensation(NEC)technology,the NEC_ADP improves the accuracy and precision of liquid handling across a wide range of volumes,from micro-volumes(1μL)to macro-volumes(up to 1000μL),and for reagents with varying viscosities and surface tensions.Unlike conventional pipettors,which rely on linear compensation or manual recalibration,NEC_ADP features real-time,online calibration,eliminating the need for factory recalibration and reducing maintenance costs.The system was built with a modular design,allowing seamless scalability from single-to multi-channel configurations.It integrates effortlessly with existing laboratory systems using the open platform communications unified architecture(OPC UA),enhancing interoperability and automation.In addition,the use of machine-learning algorithms for motion control and trajectory planning ensures optimal pipetting strategies and automatic adaptation to different reagents and volumes.This study demonstrates the superior performance of NEC_ADP compared to commercial systems,including the TECAN Cavro®and Eppendorf epMotion®,with significant improvements in accuracy and precision.Innovation in NEC_ADP technology and system integration marks a significant advancement in automated liquid handling,offering robust support for highprecision applications in fields such as genomics,stemcell research,and synthetic biology.展开更多
This study presents a comprehensive evaluation of tropical cyclone(TC)forecast performance in the western North Pacific from 2013 to 2022,based on operational forecasts issued by the China Meteorological Administratio...This study presents a comprehensive evaluation of tropical cyclone(TC)forecast performance in the western North Pacific from 2013 to 2022,based on operational forecasts issued by the China Meteorological Administration.The analysis reveals systematic improvements in both track and intensity forecasts over the decade,with distinct error characteristics observed across various forecast parameters.Track forecast errors have steadily decreased,particularly for longer lead times,while error magnitudes have increased with longer forecast lead times.Intensity forecasts show similar progressive enhancements,with maximum sustained wind speed errors decreasing by 0.26 m/s per year for 120 h forecasts.The study also identifies several key patterns in forecast performance:typhoon-grade or stronger TCs exhibit smaller track errors than week or weaker systems;intensity forecasts systematically overestimate weaker TCs while underestimating stronger systems;and spatial error distributions show greater track inaccuracies near landmasses and regional intensity biases.These findings highlight both the significant advances in TC forecasting capability achieved through improved modeling and observational systems,and the remaining challenges in predicting TC changes and landfall behavior,providing valuable benchmarks for future forecast system development.展开更多
Due to the inability of manufacturing a single monolithic mirror at the 10-meter scales,segmented mirrors have become indispensable tools in modern astronomical research.However,to match the imaging performance of the...Due to the inability of manufacturing a single monolithic mirror at the 10-meter scales,segmented mirrors have become indispensable tools in modern astronomical research.However,to match the imaging performance of the monolithic counterpart,the sub-mirrors must maintain precise co-phasing.Piston error critically degrades segmented mirror imaging quality,necessitating efficient and precise detection.To ad-dress the limitations that the conventional circular-aperture diffraction with two-wavelength algorithm is sus-ceptible to decentration errors,and the traditional convolutional neural networks(CNNs)struggle to capture global features under large-range piston errors due to their restricted local receptive fields,this paper pro-poses a method that integrates extended Young’s interference principles with a Vision Transformer(ViT)to detect piston error.By suppressing decentration error interference through two symmetrically arranged aper-tures and extending the measurement range to±7.95μm via a two-wavelength(589 nm/600 nm)algorithm.This approach exploits ViT’s self-attention mechanism to model global characteristics of interference fringes.Unlike CNNs constrained by local convolutional kernels,the ViT significantly improves sensitivity to inter-ferogram periodicity.The simulation results demonstrate that the proposed method achieves a measurement accuracy of 5 nm(0.0083λ0)across the range of±7.95μm,while maintaining an accuracy exceeding 95%in the presence of Gaussian noise(SNR≥15 dB),Poisson noise(λ≥9 photons/pixel),and sub-mirror gap er-ror(Egap≤0.2)interference.Moreover,the detection speed shows significant improvement compared to the cross-correlation algorithm.This study establishes an accurate,robust framework for segmented mirror error detection,advancing high-precision astronomical observation.展开更多
AIM:To evaluate the efficacy of the total computer vision syndrome questionnaire(CVS-Q)score as a predictive tool for identifying individuals with symptomatic binocular vision anomalies and refractive errors.METHODS:A...AIM:To evaluate the efficacy of the total computer vision syndrome questionnaire(CVS-Q)score as a predictive tool for identifying individuals with symptomatic binocular vision anomalies and refractive errors.METHODS:A total of 141 healthy computer users underwent comprehensive clinical visual function assessments,including evaluations of refractive errors,accommodation(amplitude of accommodation,positive relative accommodation,negative relative accommodation,accommodative accuracy,and accommodative facility),and vergence(phoria,positive and negative fusional vergence,near point of convergence,and vergence facility).Total CVS-Q scores were recorded to explore potential associations between symptom scores and the aforementioned clinical visual function parameters.RESULTS:The cohort included 54 males(38.3%)with a mean age of 23.9±0.58y and 87 age-matched females(61.7%)with a mean age of 23.9±0.53y.The multiple regression model was statistically significant[R²=0.60,F=13.28,degrees of freedom(DF=17122,P<0.001].This indicates that 60%of the variance in total CVS-Q scores(reflecting reported symptoms)could be explained by four clinical measurements:amplitude of accommodation,positive relative accommodation,exophoria at distance and near,and positive fusional vergence at near.CONCLUSION:The total CVS-Q score is a valid and reliable tool for predicting the presence of various nonstrabismic binocular vision anomalies and refractive errors in symptomatic computer users.展开更多
基金financially supported by National Natural Science Foundation of China(Grant Nos.52375447,52305477 and 52105457)the Shandong Provincial Natural Science Foundation of China(Grant Nos.ZR2023QE057,ZR2024QE100 and ZR2024ME255)+2 种基金the Shandong Provincial Science and Technology SMEs Innovation Capacity Improvement Project(Grant No.2024TSGC0239)the Special Fund of Taishan Scholars Project,the Shandong Province Youth Science and Technology Talent Support Project(Grant No.SDAST2024QTA043)the Open Funding of Key Lab of Industrial Fluid Energy Conservation and Pollution Control,Ministry of Education(Grant Nos.CK-2024-0031,CK-2024-0035 and CK-2024-0036).
摘要Multi-source errors,as critical obstacles limiting the accuracy retention and machining performance of machine tools,hold fundamental and strategic significance for achieving high-precision,high-efficiency,and high-reliability machining in modern manufacturing systems.However,these errors typically exhibit complex characteristics such as strong coupling,time-variance,and nonlinearity,which challenge traditional methods of error identification,modeling,and compensation in terms of adaptability,real-time capability,and integration.Therefore,it is imperative to establish a systematic and intelligent multi-source error control framework.Firstly,this work systematically reviews typical error sources and their evolution mechanisms,evaluates multi-scale detection technologies including laser interferometry,double ball-bar systems,multi-sensor fusion,and vision-based systems,and constructs an intelligent error identification and evaluation framework.Next,it reviews classical modeling methods such as homogeneous transformation matrices,screw theory,thermal equilibrium models,finite element analysis,and modal analysis,compares physical modeling,data-driven,and hybrid modeling strategies,and develops an integrated multi-source error modeling architecture centered on digital twin technology and artificial intelligence.Furthermore,key technologies,including geometric error mapping and real-time compensation,online thermal error prediction and active temperature control,dynamic error suppression,and adaptive control,are summarized.A multi-level integrated error compensation architecture is proposed by combining physical models,data models,and cyber-physical synchronization.This architecture encompasses core processes such as error traceability and decoupling,dynamic prediction,real-time compensation,and closed-loop optimization,emphasizing engineering implementation mechanisms based on cyber-physical collaboration,multi-physics coupling,and multi-scale fusion,thereby effectively enhancing accuracy stability and control robustness under complex operating conditions.Finally,frontier challenges such as constructing high-fidelity coupled models from heterogeneous multi-source data,edge-cloud collaborative control,and cross-platform interoperability are discussed.The application prospects of multi-source error evaluation are also envisioned,providing theoretical foundations and technical support for the precise management and optimization of the entire lifecycle accuracy of machine tools.
摘要The aero-engine blisk has large size and complex structure,leading to drastic variations in driving axis speed during machining process,which brings a critical challenge for efficient and stable contouring error control.Pure trajectory planning fails to perfectly smooth the variation of speed due to the complex structure of blisk.Additionally,advanced controllers often reduce the stability of control systems,limiting their application in commercial Computer Numerical Control(CNC)machine tools.To address these problems,this paper proposes an effective and practical contouring error prediction and compensation method for a blisk machining center.First,the tracking error of driving axis is accurately calculated to overcome the time delay in feedback.Subsequently,the contouring error is predicted combining the tracking error of driving axis with the geometrical structure of blisk machining center.In terms of contouring error compensation,speed feedforward compensation is employed to enhance the tracking performance of driving axis,while command modification is applied to further improve contouring accuracy without affecting system stability.Based on the experimental results,the tracking error of driving axis and contouring error achieve high prediction accuracy with the deviations of average values below 6.49%and 12.41%under three different motion conditions,respectively;moreover,the contouring error of the sample trajectory is reduced to the micron level after speed feedforward compensation,and further decreased more than 32.85%through command modification.A typical blisk sample is finally machined successfully,validates the effectiveness and practicability of the proposed method.
基金funding provided by the Australian Research Council(DP210101281)。
摘要Action errors-unintentional deviations from goals,rules,or standards-are an inevitable part of work in construction.Understanding how individuals and organizations can embrace and"learn through errors"(i.e.,how to handle them effectively)is crucial for contributing to project success.However,within construction,a prevailing belief persists that errors can and should be eliminated,fostering a zero-tolerance mindset.Organizations that adopt this mindset risk stifling their capacity to learn,innovate,and improve profitability.While errors can indeed have negative consequences,they also play a vital role in enabling learning and innovation.Given the limited empirical research on action errors in construction,this paper aims to stimulate inquiry into this promising area of study.It briefly outlines different forms of error orientation and proposes directions for future research relevant to construction organizations.The contributions of this paper are twofold,as it:①advocates for construction organizations to broaden their understanding of errors to enhance their learning capability and②identifies ways in which organizations can improve their capacity to learn and innovate through error management.
摘要Research on Error Propagation and Control Technologies in Prefabricated Building Construction. With the rapid development of prefabricated construction in China, error management during the construction process has become a critical challenge affecting project quality and safety. This paper comprehensively examines the mechanisms of error propagation and corresponding control methods throughout the entire prefabricated building construction process. It first identifies the primary causes and types of construction errors, analyzes the fundamental characteristics of error propagation during component manufacturing, transportation, lifting, and assembly, and conducts an in-depth investigation into the potential impacts on the structural performance and operational efficiency of the final building structure.
基金the“Convergence and Open sharing System”Project,supported by the Ministry of Education and National Research Foundation of Korea.
摘要There has been an increasing emphasis on performing deep neural network(DNN)inference locally on edge devices due to challenges such as network congestion and security concerns.However,as DRAM process technology continues to scale down,the bit-flip errors in the memory of edge devices become more frequent,thereby leading to substantial DNN inference accuracy loss.Though several techniques have been proposed to alleviate the accuracy loss in edge environments,they require complex computations and additional parity bits for error correction,thus resulting in significant performance and storage overheads.In this paper,we propose FeatherGuard,a data-driven lightweight error protection scheme for DNN inference on edge devices.FeatherGuard selectively protects critical bit positions(that have a significant impact on DNN inference accuracy)against bit-flip errors,by considering various DNN characteristics(e.g.,data format,layer-wise weight distribution,actually stored logical values).Thus,it achieves high error tolerability during DNN inference.Since FeatherGuard reduces the bit-flip errors based on only a few simple arithmetic operations(e.g.,NOT operations)without parity bits,it causes negligible performance overhead and no storage overhead.Our experimental results show that FeatherGuard improves the error tolerability by up to 6667×and 4000×,compared to the conventional systems and the state-of-the-art error protection technique for edge environments,respectively.
基金co-supported by the National Natural Science Foundation of China(Nos.92152301 and U2241249)the National Science and Technology Major Project,China(No.J2019-Ⅱ-0016-0037)。
摘要Blisks have been widely adopted in various aero-engines due to the advantages such as simple structure and low loss.However,influenced by machining errors,the geometric inconsistency of blisk blades is significant,leading to deviations in the compressor performance from the design and scatter increase.To accurately assess performance uncertainty effects of machining errors using uncertainty quantification methods,‘statistical characteristics of machining errors’as uncertainty quantification inputs are particularly critical.This study is the first to highlight measured machining errors'uncertainty analysis for blisks.Measured machining errors from the front,middle,and rear stages of multi-stage compressor blisks are analyzed regarding their systematic deviations and scatters along the radial direction,and probability distribution characteristics.The results show that due to differences in clamping and fixing methods,the statistical characteristics of machining errors for‘blisk'differ from those of‘single blade’.Additionally,variations in material properties and sizes of blades at different compressor stages lead to differences in the statistical characteristics of machining errors.For different sections,systematic deviations and scatters in machining errors are notably significant near the blade tip,making it challenging to ensure machining consistency.For different stages,machining errors of the rear stage blades are the most scattering.Compared with the design geometry,several phenomena observed in most blades,such as‘under deflection’,‘thicker pressure/suction surfaces’and‘larger leading-edge radius’,should be improved,owing to their adverse effects in compressors.Furthermore,probability distributions of machining errors exhibit characteristics such as‘skewness’,‘bimodality’,and‘data missing’,indicating that traditional normal distributions are insufficient for accurately characterizing the above distributions.The research results provide a clear demonstration of the machining capabilities of compressor blisks and offer data support for correctly constructing probability models of machining errors,thereby enabling accurate prediction of their performance uncertainty effects.
基金the support of the National Natural Science Foundation of China(22575230)。
摘要Conventional error cancellation approaches separate molecules into smaller fragments and sum the errors of all fragments to counteract the overall computational error of the parent molecules.However,these approaches may be ineffective for systems with strong localized chemical effects,as fragmenting specific substructures into simpler chemical bonds can introduce additional errors instead of mitigating them.To address this issue,we propose the Substructure-Preserved Connection-Based Hierarchy(SCBH),a method that automatically identifies and freezes substructures with significant local chemical effects prior to molecular fragmentation.The SCBH is validated by the gas-phase enthalpy of formation calculation of CHNO molecules.Therein,based on the atomization scheme,the reference and test values are derived at the levels of Gaussian-4(G4)and M062X/6-31+G(2df,p),respectively.Compared to commonly used approaches,SCBH reduces the average computational error by half and requires only15%of the computational cost of G4 to achieve comparable accuracy.Since different types of local effect structures have differentiated influences on gas-phase enthalpy of formation,substituents with strong electronic effects should be retained preferentially.SCBH can be readily extended to diverse classes of organic compounds.Its workflow and source code allow flexible customization of molecular moieties,including azide,carboxyl,trinitromethyl,phenyl,and others.This strategy facilitates accurate,rapid,and automated computations and corrections,making it well-suited for high-throughput molecular screening and dataset construction for gas-phase enthalpy of formation.
基金supported by the National Natural Science Foundation of China(Nos.62373366,92371207)the Natural Science Foundation of Hunan Province of China(No.2024JJ2064)。
摘要In order to autonomously calibrate the airborne clocks of deep space explorers,this paper proposes an X-ray pulsar-based airborne clock error estimation method.A pulse phase propagation model incorporating the clock error is derived.Given that both the clock noise and the pulsar timing noise are of power-law spectral densities,their combination is modeled as a Fractional Brownian Motion(FBM)with a fractional-order power spectral density.The clock error series is modeled as a Gaussian Process(GP)with a mean function in the form of 2-order polynomial and an FBM-based covariance function.Finally,the clock error and the hyperparameters of GP are fast estimated by an iterated estimation method.The proposed method is validated via the real clock error data of the G05 satellite in the Global Positioning System(GPS)and the real data of pulsars from the Neutron star Interior Composition ExploreR(NICER).
基金supported by the Joint Fund of the Natural Science Foundation of Shandong Province,China(Grant Nos.ZR2022LLZ012 and ZR2021LLZ001)the Key Research and Development Program of Shandong Province,China(Grant No.2023CXGC010901)。
摘要Quantum error correction technology is based on the principle of redundant encoding,encoding logical quantum information into multiple physical qubits to provide important support for the stable operation of quantum computers.To address the issues of low decoding accuracy and limited feature extraction in quantum error correction,this paper proposes a toric code decoder based on a syndrome-preliminary error fusion module(SPEFM)and a ResNet architecture.This decoder takes full advantage of the correlations between X and Z errors.In the SPEFM,the syndrome and preliminary error predictions are deeply fused,while a unidirectional Swin transformer architecture is incorporated to extract global error features from the syndrome data,signiffiificantly improving both decoding accuracy and computational efffiificiency.In addition,this paper further extracts local error features from the fused features using the deep residual structure of ResNet,enhancing the decoder's ability to capture quantum error patterns.Experimental results show that the decoder is applicable to different code distances(d=4,6,8,10)under the depolarizing noise model.Its bit error rate is lower than that of the minimum weight perfect matching(MWPM)algorithm,and its logical error rate is lower than both the MWPM algorithm and the ResNet18 decoder.Furthermore,the decoding threshold is increased to 0.163,representing a 3.82%improvement over the MWPM algorithm threshold of 0.157.
摘要Color-coded fringe patterns have emerged as a key technique for enabling real-time three-dimen-sional(3D)shape measurement in fringe projection profilometry(FPP).However,color crosstalk inherent in color cameras remains a significant factor limiting measurement accuracy.To mitigate this issue,a high-pre-cision calibration method for color crosstalk coefficients is proposed to enable effective correction in this pa-per.Specifically,a crosstalk coefficient estimator is developed based on orthogonal phase-shifted fringe pat-terns,and the theoretical relationship between the crosstalk coefficients and phase error is derived.The color orthogonal fringes are then designed to project onto a standard planar target to acquire separated R,G,and B channel patterns.Finally,a particle swarm optimization(PSO)algorithm is introduced to optimize the crosstalk-induced phase errors and calibrate the crosstalk coefficients with high precision.Experimental val-idation based on a standard dual-sphere calibration plate shows that the diameter fitting errors of the two spheres are 0.0191 mm and 0.0160 mm,respectively,and the error in the calculated center-to-center distance is as low as 0.0120 mm,which demonstrate that the proposed method can effectively enhance the measure-ment accuracy and applicability of color cameras in fringe projection technology.
基金supported by the National Natural Science Foundation of China(Grant No.52130503)the Science and Technology Innovation Program of Hunan Province(Grants Nos.2023RC1046 and 2023GK2008)+2 种基金the Hunan Provincial Science and Technology Department(Grant No.2021JC0005)the Postgraduate Scientific Research Innovation Project of Hunan Province(Grant No.QL20220088)the Shenzhen Undertakes Major National Science and Technology Projects(Grant No.CJGJZD20220517142406015).
摘要In an ultraprecision turning process for small-diameter optical aspheric workpieces,tool-profile errors induce mid-frequency errors in the workpiece profile,limiting further improvements in precision.In this study,an XZB three-axis linkage ultraprecision machining method is proposed,and the effects of tool-center errors are analyzed.To address residual errors in Z-direction profile-error compensation,a workpiece normal-profile-error compensation method is proposed.After XZB three-axis linkage turning and compensation,the workpiece profile error(PV)reaches 0.086μm,surpassing the precision of XZ two-axis machining,and mid-frequency errors are reduced.Compared with Z-direction profile-error compensation,which results in a profile error of 0.092μm,normal-profile-error compensation reduces PV to 0.047μm,considerably improving aspheric accuracy.Experimental results demonstrate that XZB three-axis linkage machining significantly improves the aspheric workpiece profile,enhancing both its accuracy and surface quality.This method reduces mid-frequency errors,and the subsequent application of normal-profile-error compensation further refines the profile,achieving higher overall accuracy.
基金co-supported by the National Key Research and Development Program of China(No.2022YFB3403600)the National Natural Science Foundation of China(No.52305461,52293403,52235010)。
摘要Hemispherical Resonator(HSR)is a typical high-performance component due to the complex coupling relationship between the machining errors and performance parameters.To understand the impact of machining errors on frequency splitting,the frequency splitting model that couples the multiple machining errors was developed to elucidate the mechanism of frequency splitting and reveal the effect of geometric error parameters on frequency splitting innovatively.In addition,a method for characterizing machining errors is established to describe the circumferential mass uniformity of the hemispherical shell.Furthermore,measurement experiments of HSRs were performed to verify the accuracy of the model,and the results showed that the predicted errors of the model were within 15%.Both theoretical and experimental results demonstrated that the direct cause of frequency splitting is the uneven circumferential mass of HSR.In particular,the radial concentricity has the most significant influence on frequency splitting,followed by the coaxiality and roundness.Within the error range of 0–0.5μm,frequency splitting values change by 0.945 Hz,0.098 Hz,and 0.039 Hz,respectively.Furthermore,the coupling effect of machining errors and surface quality on frequency splitting was discussed,which showed machining errors is the predominant factor contributing to frequency splitting.This work not only enhance the understanding of the mechanism of frequency splitting,but also provide theoretical guidance for the parameter optimization involved in high-performance manufacturing of HSR.
基金supported by the National Natural Science Foundation of China(Grant No.52475494)the Zhejiang Provincial Natural Science Foundation of China(Grant No.LY22E050003)the Fundamental Research Funds for the Provincial Universities of Zhejiang(Grant No.RF-A2020005).
摘要The aerostatic spindle is a key component of ultra-precision machine tools,and its error motion is crucial to machining accuracy and reliability.Spindle error motion is unavoidable,and its online monitoring and prediction are quite important.Currently,there are relatively few studies on the online monitoring and prediction methods for the aerostatic spindle,and the level of intelligence is relatively low.To address this problem,an error motion monitoring system based on digital twin(DT)technology was established for the aerostatic spindle.A spindle error motion prediction method based on a mechanism and data fusion model(MDFM)was proposed.Additionally,a highly available and interactive aerostatic spindle DT service platform was developed.Experimental results have verified the good performance of this platform.The platform facilitates interaction between the physical and virtual entities of the aerostatic spindle,enabling three-dimensional visualization,monitoring,prediction,and simulation of spindle error motion,and shows good potential for engineering applications.
摘要Inborn errors of metabolism(IEMs)are a large group of disorders resulting from deficient activities in several metabolic pathways due to the dysfunction of a distinct enzyme associated with a biochemical pathway[1,2].Toxic intermediates will be produced due to the dysfunction of biochemical pathways.The liver is responsible for many essential metabolic processes,therefore it becomes one of the most severely affected organ by metabolic diseases[3].Early onset of liver disorders in IEMs includes jaundice,hepatomegaly,splenomegaly,ascites,hepatic encephalopathy,and liver failure[4].In infants and young children under 3 years old with acute liver failure(ALF),IEMs account for 18.9%-43%[5].
摘要Due to the nonlinear effects produced by the actual defocusing projection system,which affect the accuracy of phase measurement,the phase error of binary fringe defocusing projection was studied.Based on the analysis of the current study status in the field,an expression for the intensity distribution of deformed fringe pattern signal in nonlinear systems is given,and the reasons for both high-order spectra components occurrence and their mixing with the fundamental frequency components,resulting in spectra overlapping,are analyzed.Defocus the projector to remove the higher-order harmonic components in the spectra domain and filter out one of the fundamental frequency components.An inverse Fourier transform was then performed on the spectra to obtain the expression of fringe intensity in the spatial domain.The continuous phase containing continuous signals was obtained using the phase-shift algorithm and phase unwrapping,and the expression for phase error after unwrapping in actual measurement systems was derived.The correct analysis of the basic principles has been verified through simulation and experiments.The simulation results indicate that the errors value obtained by the method mentioned in this paper are 34.51%for the binary fringe defocusing method,44.83%for sampling method of Ref.[1],and 67.83%for method of self-correction method of Ref.[10],respectively.The experiment results indicate that the phase recovered by using our method has good effects,and the corresponding phase error is relatively small.
基金supported by the National Natural Science Foundation of China under Grant No.92582204,No.62577007,and No.62177003the Fundamental Research Funds for the Central Universities under Grant No.JKF-2025011975129.
摘要Online programming platforms are popular in programming education.However,there has been no research investigating students’real opinions and expectations of the error feedback mechanisms,leaving educators without a solid data foundation when attempting to improve the error feedback mechanisms.This paper makes a survey of 834 students across various programming courses and investigates student perceptions of error feedback mechanisms on online programming platforms.It explores the effectiveness of existing feedback,student satisfaction,and preferences for potential improvements,focusing on automatic error localization and program repair mechanisms.Results reveal a significant portion of students are dissatisfied with current feedback due to its limited informativeness.Students also express a clear demand for stronger feedback mechanisms,such as error localization and repair hints.Nevertheless,they prefer feedback that subtly guides them toward solutions,rather than providing direct and explicit answers,valuing the opportunity to enhance their debugging skills.The findings suggest a need for balanced,educational-focused feedback mechanisms that aid learning while promoting independent problem-solving.
基金supported in part by the National Key R&D Program of China[Grant No.2023YFF0724200]Strategic Priority Research Program of the Chinese Academy of Sciences[Grant No.XDB1250000]+5 种基金Key Research and Development Program of Guangzhou City[Grant No.2024B03J0002,2025B03J0095]in part by the Guangzhou Koalson Smart Manufacturing Technology Co.,Ltd.,Scientific Instrumentation Development Program of Chinese Academy of Sciences[Grant No.PTYQ2024TD0002,ZDKYYQ20210006]Key Research Program of Chinese Academy of Sciences[Grant No.ZDBS-ZRKJZ-TLC006]Guangzhou Basic and Applied Basic Research Project[Grant No.2024A04J6352,2022A1515110435]Human Cell Lineage Atlas Facility[Grant No.DSS05010101]Basic Research Project of Guangzhou Institutes of Biomedicine and Health,Chinese Academy of Sciences[No.GIBHBRP24-03].
摘要This study introduces a nonlinear error-compensated air-displacement pipettor(NEC_ADP),a novel system that addresses the key limitations in commercial pipetting setups.By incorporating nonlinear error-compensation(NEC)technology,the NEC_ADP improves the accuracy and precision of liquid handling across a wide range of volumes,from micro-volumes(1μL)to macro-volumes(up to 1000μL),and for reagents with varying viscosities and surface tensions.Unlike conventional pipettors,which rely on linear compensation or manual recalibration,NEC_ADP features real-time,online calibration,eliminating the need for factory recalibration and reducing maintenance costs.The system was built with a modular design,allowing seamless scalability from single-to multi-channel configurations.It integrates effortlessly with existing laboratory systems using the open platform communications unified architecture(OPC UA),enhancing interoperability and automation.In addition,the use of machine-learning algorithms for motion control and trajectory planning ensures optimal pipetting strategies and automatic adaptation to different reagents and volumes.This study demonstrates the superior performance of NEC_ADP compared to commercial systems,including the TECAN Cavro®and Eppendorf epMotion®,with significant improvements in accuracy and precision.Innovation in NEC_ADP technology and system integration marks a significant advancement in automated liquid handling,offering robust support for highprecision applications in fields such as genomics,stemcell research,and synthetic biology.
基金supported by the National Key R&D Program of China [grant number 2023YFC3008004]。
摘要This study presents a comprehensive evaluation of tropical cyclone(TC)forecast performance in the western North Pacific from 2013 to 2022,based on operational forecasts issued by the China Meteorological Administration.The analysis reveals systematic improvements in both track and intensity forecasts over the decade,with distinct error characteristics observed across various forecast parameters.Track forecast errors have steadily decreased,particularly for longer lead times,while error magnitudes have increased with longer forecast lead times.Intensity forecasts show similar progressive enhancements,with maximum sustained wind speed errors decreasing by 0.26 m/s per year for 120 h forecasts.The study also identifies several key patterns in forecast performance:typhoon-grade or stronger TCs exhibit smaller track errors than week or weaker systems;intensity forecasts systematically overestimate weaker TCs while underestimating stronger systems;and spatial error distributions show greater track inaccuracies near landmasses and regional intensity biases.These findings highlight both the significant advances in TC forecasting capability achieved through improved modeling and observational systems,and the remaining challenges in predicting TC changes and landfall behavior,providing valuable benchmarks for future forecast system development.
摘要Due to the inability of manufacturing a single monolithic mirror at the 10-meter scales,segmented mirrors have become indispensable tools in modern astronomical research.However,to match the imaging performance of the monolithic counterpart,the sub-mirrors must maintain precise co-phasing.Piston error critically degrades segmented mirror imaging quality,necessitating efficient and precise detection.To ad-dress the limitations that the conventional circular-aperture diffraction with two-wavelength algorithm is sus-ceptible to decentration errors,and the traditional convolutional neural networks(CNNs)struggle to capture global features under large-range piston errors due to their restricted local receptive fields,this paper pro-poses a method that integrates extended Young’s interference principles with a Vision Transformer(ViT)to detect piston error.By suppressing decentration error interference through two symmetrically arranged aper-tures and extending the measurement range to±7.95μm via a two-wavelength(589 nm/600 nm)algorithm.This approach exploits ViT’s self-attention mechanism to model global characteristics of interference fringes.Unlike CNNs constrained by local convolutional kernels,the ViT significantly improves sensitivity to inter-ferogram periodicity.The simulation results demonstrate that the proposed method achieves a measurement accuracy of 5 nm(0.0083λ0)across the range of±7.95μm,while maintaining an accuracy exceeding 95%in the presence of Gaussian noise(SNR≥15 dB),Poisson noise(λ≥9 photons/pixel),and sub-mirror gap er-ror(Egap≤0.2)interference.Moreover,the detection speed shows significant improvement compared to the cross-correlation algorithm.This study establishes an accurate,robust framework for segmented mirror error detection,advancing high-precision astronomical observation.
基金Supported by Ongoing Research Funding Program(ORFFT-2025-054-1),King Saud University,Riyadh,Saudi Arabia.
摘要AIM:To evaluate the efficacy of the total computer vision syndrome questionnaire(CVS-Q)score as a predictive tool for identifying individuals with symptomatic binocular vision anomalies and refractive errors.METHODS:A total of 141 healthy computer users underwent comprehensive clinical visual function assessments,including evaluations of refractive errors,accommodation(amplitude of accommodation,positive relative accommodation,negative relative accommodation,accommodative accuracy,and accommodative facility),and vergence(phoria,positive and negative fusional vergence,near point of convergence,and vergence facility).Total CVS-Q scores were recorded to explore potential associations between symptom scores and the aforementioned clinical visual function parameters.RESULTS:The cohort included 54 males(38.3%)with a mean age of 23.9±0.58y and 87 age-matched females(61.7%)with a mean age of 23.9±0.53y.The multiple regression model was statistically significant[R²=0.60,F=13.28,degrees of freedom(DF=17122,P<0.001].This indicates that 60%of the variance in total CVS-Q scores(reflecting reported symptoms)could be explained by four clinical measurements:amplitude of accommodation,positive relative accommodation,exophoria at distance and near,and positive fusional vergence at near.CONCLUSION:The total CVS-Q score is a valid and reliable tool for predicting the presence of various nonstrabismic binocular vision anomalies and refractive errors in symptomatic computer users.