Test case prioritization and ranking play a crucial role in software testing by improving fault detection efficiency and ensuring software reliability.While prioritization selects the most relevant test cases for opti...Test case prioritization and ranking play a crucial role in software testing by improving fault detection efficiency and ensuring software reliability.While prioritization selects the most relevant test cases for optimal coverage,ranking further refines their execution order to detect critical faults earlier.This study investigates machine learning techniques to enhance both prioritization and ranking,contributing to more effective and efficient testing processes.We first employ advanced feature engineering alongside ensemble models,including Gradient Boosted,Support Vector Machines,Random Forests,and Naive Bayes classifiers to optimize test case prioritization,achieving an accuracy score of 0.98847 and significantly improving the Average Percentage of Fault Detection(APFD).Subsequently,we introduce a deep Q-learning framework combined with a Genetic Algorithm(GA)to refine test case ranking within priority levels.This approach achieves a rank accuracy of 0.9172,demonstrating robust performance despite the increasing computational demands of specialized variation operators.Our findings highlight the effectiveness of stacked ensemble learning and reinforcement learning in optimizing test case prioritization and ranking.This integrated approach improves testing efficiency,reduces late-stage defects,and improves overall software stability.The study provides valuable information for AI-driven testing frameworks,paving the way for more intelligent and adaptive software quality assurance methodologies.展开更多
With the rapid development of artificial intelligence,the intelligence level of software is increasingly improving.Intelligent software,which is widely applied in crucial fields such as autonomous driving,intelligent ...With the rapid development of artificial intelligence,the intelligence level of software is increasingly improving.Intelligent software,which is widely applied in crucial fields such as autonomous driving,intelligent customer service,and medical diagnosis,is constructed based on complex technologies like machine learning and deep learning.Its uncertain behavior and data dependence pose unprecedented challenges to software testing.However,existing software testing courses mainly focus on conventional contents and are unable to meet the requirements of intelligent software testing.Therefore,this work deeply analyzed the relevant technologies of intelligent software testing,including reliability evaluation indicator system,neuron coverage,and test case generation.It also systematically designed an intelligent software testing course,covering teaching objectives,teaching content,teaching methods,and a teaching case.Verified by the practical teaching in four classes,this course has achieved remarkable results,providing practical experience for the reform of software testing courses.展开更多
Synaptic plasticity is essential for maintaining neuronal function in the central nervous system and serves as a critical indicator of the effects of neurodegenerative disease.Glaucoma directly impairs retinal ganglio...Synaptic plasticity is essential for maintaining neuronal function in the central nervous system and serves as a critical indicator of the effects of neurodegenerative disease.Glaucoma directly impairs retinal ganglion cells and their axons,leading to axonal transport dysfuntion,subsequently causing secondary damage to anterior or posterior ends of the visual system.Accordingly,recent evidence indicates that glaucoma is a degenerative disease of the central nervous system that causes damage throughout the visual pathway.However,the effects of glaucoma on synaptic plasticity in the primary visual cortex remain unclear.In this study,we established a mouse model of unilateral chronic ocular hypertension by injecting magnetic microbeads into the anterior chamber of one eye.We found that,after 4 weeks of chronic ocular hypertension,the neuronal somas were smaller in the superior colliculus and lateral geniculate body regions of the brain contralateral to the affected eye.This was accompanied by glial cell activation and increased expression of inflammatory factors.After 8 weeks of ocular hypertension,we observed a reduction in the number of excitatory and inhibitory synapses,dendritic spines,and activation of glial cells in the primary visual cortex contralateral to the affected eye.These findings suggest that glaucoma not only directly damages the retina but also induces alterations in synapses and dendritic spines in the primary visual cortex,providing new insights into the pathogenesis of glaucoma.展开更多
AIM:To compare the visual outcomes between bilateral implantation of Tecnis ZXR00 extended depth-of-focus(EDOF)intraocular lenses(IOLs)and mixed implantation of Tecnis ZXR00(EDOF)with Tecnis ZMB00(bifocal)IOLs.METHODS...AIM:To compare the visual outcomes between bilateral implantation of Tecnis ZXR00 extended depth-of-focus(EDOF)intraocular lenses(IOLs)and mixed implantation of Tecnis ZXR00(EDOF)with Tecnis ZMB00(bifocal)IOLs.METHODS:This postoperative cross-sectional study enrolled patients who underwent phacoemulsification combined with IOL implantation.Patients were divided into two groups:the bilateral ZXR00 group(ZXR00-only group)and the mixed IOL group(ZXR00+ZMB00 group).Primary outcome measures included uncorrected and corrected distance visual acuity(UDVA,CDVA),uncorrected and distance-corrected near visual acuity(UNVA,DCNVA),uncorrected and distance-corrected intermediate visual acuity(UIVA,DCIVA),and defocus curves.Secondary outcome measures were visual quality,spectacle independence,patient satisfaction,photic phenomena,and stereopsis.RESULTS:A total of 47 patients(94 eyes)were included,with 26 patients(11 males,15 females)in the ZXR00-only group(mean age:62.73±7.24y)and 21 patients(7 males,14 females)in the mixed group(mean age:65.71±9.16y).There was no statistically significant difference in age between the two groups(P=0.218).The mixed group showed significantly better binocular DCNVA compared to the ZXR00-only group(P=0.002).Defocus curve analysis revealed that the mixed group exhibited superior performance at−2.5 to−4.0 D but inferior performance at−0.5 and−1.5 D.Near stereoacuity was significantly poorer in the mixed group(Randot:5.589±0.744 vs 6.240±0.394 ln arcsec;Contour:4.966±0.973 vs 5.740±0.833 ln arcsec;both P<0.01).Both groups achieved high levels of spectacle independence and patient satisfaction,with no significant differences in photic phenomena or questionnaire scores.CONCLUSION:Mixed implantation of EDOF and bifocal IOLs improve near visual acuity but may compromise near stereopsis.This approach provides a viable option for patients prioritizing near vision;however,caution is recommended for individuals requiring fine stereoscopic vision for daily or professional tasks.展开更多
This study extends the self-propelled particle(SPP)model by incorporating a limited vision cone and local density sensing.The results reveal that clusters can simultaneously exhibit velocity polarization and spatial c...This study extends the self-propelled particle(SPP)model by incorporating a limited vision cone and local density sensing.The results reveal that clusters can simultaneously exhibit velocity polarization and spatial cohesion within specific ranges of vision angle and density threshold.The dependence of the dynamical features,including the order parameter and density variation,on the threshold and visual cone is investigated.Furthermore,a critical threshold is identified,which governs the transition between ordered and disordered states and is closely linked to density fluctuations and noise intensity.The clustering results show that the model is explained by the chasing mechanism responsible for cluster formation,density,and shape.These results may stimulate practical applications in swarm maneuvering.展开更多
With the rapid development of Internet technology,REST APIs(Representational State Transfer Application Programming Interfaces)have become the primary communication standard in modern microservice architectures,raisin...With the rapid development of Internet technology,REST APIs(Representational State Transfer Application Programming Interfaces)have become the primary communication standard in modern microservice architectures,raising increasing concerns about their security.Existing fuzz testing methods include random or dictionary-based input generation,which often fail to ensure both syntactic and semantic correctness,and OpenAPIbased approaches,which offer better accuracy but typically lack detailed descriptions of endpoints,parameters,or data formats.To address these issues,this paper proposes the APIDocX fuzz testing framework.It introduces a crawler tailored for dynamic web pages that automatically simulates user interactions to trigger APIs,capturing and extracting parameter information from communication packets.A multi-endpoint parameter adaptation method based on improved Jaccard similarity is then used to generalize these parameters to other potential API endpoints,filling in gaps in OpenAPI specifications.Experimental results demonstrate that the extracted parameters can be generalized with 79.61%accuracy.Fuzz testing using the enriched OpenAPI documents leads to improvements in test coverage,the number of valid test cases generated,and fault detection capabilities.This approach offers an effective enhancement to automated REST API security testing.展开更多
AIM:To identify early biomarkers associated with glaucomatous visual field(VF)progression in patients with normal-tension glaucoma(NTG).METHODS:This study included patients were divided into two groups based on diseas...AIM:To identify early biomarkers associated with glaucomatous visual field(VF)progression in patients with normal-tension glaucoma(NTG).METHODS:This study included patients were divided into two groups based on disease progression status.Tear samples were collected for proteomic analysis.Dataindependent acquisition(DIA)mass spectrometry combined with bioinformatic analyses was performed to identify and validate potential protein biomarkers for NTG progression.Additionally,differentially expressed proteins(DEPs)were evaluated using mediating effect models and receiver operating characteristic(ROC)curve analysis.RESULTS:A total of 19 patients(20 eyes)with NTG participated in this study,including 10 patients(4 males and 6 females;10 eyes)in the progression group with mean age of 67.70±9.03y and 10 patients(4 males and 6 females;10 eyes)in the non-progression group with mean age of 68.60±7.58y.A total of 158 significantly differentially expressed proteins were detected.UniProt database annotation identified 3 upregulated proteins and 12 downregulated proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis showed that these DEPs were mainly enriched in pathways such as oocyte meiosis.Gene Ontology(GO)enrichment analysis revealed functional clusters related to cellular processes.Weighted gene coexpression network analysis(WGCNA)indicated that the core proteins were primarily involved in the neurodegenerationmultiple diseases pathway and cellular processes.Mediating effect analysis identified PRDX4(L)as a potential protein biomarker.ROC curve analysis showed that GNAI1 had the largest area under the curve(AUC=0.889).CONCLUSION:This study identifies 15 differentially expressed proteins in the tear fluid of NTG patients,including PRDX4(L).PRDX4(L)plays a key role in oxidative stress.展开更多
Urban green spaces have positive effects on both physical and mental wellbeing.However,few studies have focused on the trends and thresholds of the effects of different influences on restorative benefits when viewing ...Urban green spaces have positive effects on both physical and mental wellbeing.However,few studies have focused on the trends and thresholds of the effects of different influences on restorative benefits when viewing scenes differfeaturing plant communities.We measured subjective evaluations and objective physiological data from 44 participants who viewed images of plant communities in the yellow to green hue range to compare differences in restorative benefits among plant communities at different visual distances,as well as quantifying the influencing factors involved.The following results were found:(1)Coniferous and multi-layered plant communities were found to provide greater restorative benefits,and the restorative benefits grew with increasing visual distance.(2)Shape and color characteristics were significantly correlated with restorative benefits,but the relationship is not simply linear.(3)The restorative benefits were found to be greatest when crown proportion was 61.23%,trunk proportion ranged from 4.11%to 13.70%,and the value of color index value ranged from 25.44%to 35.56%;the restorative benefits gradually increased when sky proportion exceeded 12.95%-13.19%,the fractal dimension exceeded 1.62-1.67,and hue index exceeded 91.64°-95.67°;additionally,the restorative benefits decreased when the saturation index increased.This study provides a scientific basis for the construction and improvement of plant landscapes in urban green spaces.展开更多
The existing 2D settlement monitoring systems for utility tunnels are heavily reliant on manual interpretation of deformation data and empirical predictionmodels.Consequently,early anomalies(e.g.,minor cracks)are ofte...The existing 2D settlement monitoring systems for utility tunnels are heavily reliant on manual interpretation of deformation data and empirical predictionmodels.Consequently,early anomalies(e.g.,minor cracks)are often misjudged,and warnings lag by about 24 h without automated spatial localization.This study establishes a technical framework for requirements analysis,architectural design,and data-integration protocols.Revit parametric modelling is used to build a 3D tunnel model with structural elements,pipelines and 18 monitoring points(for displacement and joint width).Custom Revit API code integrated real-time sensor data into the BIM platform via an automated pipeline.The system achieved a spatial accuracy of±1 mm in locating deformation hotspots.Notifications are triggered within 10 s of anomaly detection,and the system renders 3D risk propagation paths in real-time.Realtime 3D visualization of risk propagation paths is also facilitated.The efficacy of the solution was validated in a Ningbo utility tunnel project,where it was demonstrated that it eliminates human-dependent judgment errors and reduces warning latency by 99.9%compared to conventional methods.The BIM-IoT integrated approach,which enables millimetre-level precision in risk identification and near-instantaneous response,establishes a new paradigm for intelligent infrastructure safety management.展开更多
Robust teleoperation in image-guided interventions faces critical challenges from latency,deformation,and the quasi-periodic nature of physiological motion.This paper presents a fully integrated,latency-aware visual s...Robust teleoperation in image-guided interventions faces critical challenges from latency,deformation,and the quasi-periodic nature of physiological motion.This paper presents a fully integrated,latency-aware visual servoing system leveraging stereo vision,hand–eye calibration,and learning-based prediction for motion-compensated teleoperation.The system combines a calibrated binocular camera setup,dual robotic arms,and a predictive control loop incorporating Long Short-Term Memory(LSTM)and Temporal Convolutional Network(TCN)models.Through experiments using both in vivo and phantom datasets,we quantitatively assess the prediction accuracy and motion-compensation performance of both models.Results show that TCNs deliver more stable and precise tracking,especially on regular trajectories,while LSTMs exhibit robustness under quasi-periodic dynamics.By matching prediction horizons to system latency,the approach significantly reduces peak and steady-state tracking errors,demonstrating practical feasibility for deploying prediction-augmented servoing in teleoperated surgical.展开更多
Lateral flow immunoassays(LFIAs)are low-cost,rapid,and easy to use for pointof-care testing(POCT),but the majority of the available LFIA tests are indicative,rather than quantitative,and their sensitivity in antigen t...Lateral flow immunoassays(LFIAs)are low-cost,rapid,and easy to use for pointof-care testing(POCT),but the majority of the available LFIA tests are indicative,rather than quantitative,and their sensitivity in antigen tests are usually limited at the nanogram range,which is primarily due to the passive capillary fluidics through nitrocellulose membranes,often associated with non-specific bindings and high background noise.To overcome this challenge,we report a Beads-on-a-Tip design by replacing nitrocellulose membranes with a pipette tip loaded with magnetic beads.The beads are pre-conjugated with capture antibodies that support a typical sandwich immunoassay.This design enriches the low-abundant antigen proteins and allows an active washing process to significantly reduce non-specific bindings.To further improve the detection sensitivity,we employed upconversion nanoparticles(UCNPs)as luminescent reporters and SARS-CoV-2 spike(S)antigen as a model analyte to benchmark the performance of this design against our previously reported methods.We found that the key to enhance the immunocomplex formation and signal-to-noise ratio lay in optimizing incubation time and the UCNP-to-bead ratio.We therefore successfully demonstrated that the new method can achieve a very large dynamic range from 500 fg/mL to 10μg/mL,across over 7 digits,and a limit of detection of 706 fg/mL,nearly another order of magnitude lower than the best reported LFIA using UCNPs in COVID-19 spike antigen detection.Our system offers a promising solution for ultra-sensitive and quantitative POCT diagnostics.展开更多
Responsive colorimetric materials exhibit significant potential for application in fields such as smart food packaging and wound monitoring.The functional integration of pH-indicators with material carriers enables br...Responsive colorimetric materials exhibit significant potential for application in fields such as smart food packaging and wound monitoring.The functional integration of pH-indicators with material carriers enables breakthrough applications in nontraditional domains.In this study,we developed a novel material covalently grafted with a pH indicator that exhibited naked-eye pH-responsive color shifts.The covalent grafting of pH-responsive bromothymol blue onto carboxymethyl cellulose(CMC)was confirmed using advanced characterization techniques,including Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy.The pH-sensitive chromophore was covalently immobilized onto the CMC matrix through esterification,thereby establishing firm chemical conjugation.Moreover,a superior color-changing performance was achieved within several minutes in response to different pH values.The reusability and stability of this material offer distinct advantages over single-use pH test strips.pH-responsive colorimetric materials hold promise for efficient,noninvasive monitoring in intelligent packaging(food freshness),medical diagnostics(wound status,infections),biosensing,and environmental applications.展开更多
AIM:To assess the visual acuity and visual quality of cataract patients who received femtosecond laser-assisted cataract surgery(FLACS)and multifocal intraocular lens(MIOL)implantation with an improved polishing techn...AIM:To assess the visual acuity and visual quality of cataract patients who received femtosecond laser-assisted cataract surgery(FLACS)and multifocal intraocular lens(MIOL)implantation with an improved polishing technique during a 1-year follow-up period.METHODS:This study included 74 eyes from 37 patients,comprising 17 males and 20 females,with a mean age of 51.74±7.80 years.Using a coin toss method,one eye per patient was randomly selected for improved anterior capsular polishing,while the other eye received standard irrigation/aspiration(I/A)polishing.The polishing group consisted of 37 eyes,including 21 right and 16 left eyes,while the control group comprised the contralateral fellow eyes of the same individuals in the polishing group.Visual acuity and quality of the patients were evaluated before surgery and at 1 wk,1,6,and 12 mo after surgery.The OPD-Scan III was utilized to assess high-order aberrations,while the optical quality analysis system(OQAS)was employed to evaluate modulation transfer function(MTF cutoff),Strehl ratio(SR),and objective scatter index(OSI)for the purpose of visual quality assessment.Paired t-tests and repeated measures analysis of variance(ANOVA)were utilized to compare the results,and the SNK-q post hoc test was applied to identify significant differences.RESULTS:The polishing group’s uncorrected distant visual acuity(UDVA)and uncorrected near visual acuity(UNVA)significantly improved 1-week post-surgery(all P<0.05).At 12-months,UDVA,UNVA,and corrected distant visual acuity(CDVA)were better than the control group(P<0.05).The MTF cutoff,SR,OSI,and high-order aberrations in the polishing group also showed significant improvements compared to the control group at 12 mo(P<0.05).CONCLUSION:The improved capsular polishing method has been demonstrated to effectively maintain visual acuity and visual quality in patients with MIOL after FLACS within 1 a.展开更多
With the rapid development of generative artificial intelligence(GenAI),the task of story visualization,which transforms natural language narratives into coherent and consistent image sequences,has attracted growing r...With the rapid development of generative artificial intelligence(GenAI),the task of story visualization,which transforms natural language narratives into coherent and consistent image sequences,has attracted growing research attention.However,existing methods still face limitations in balancing multi-frame character consistency and generation efficiency,which restricts their feasibility for large-scale practical applications.To address this issue,this study proposes a modular cloud-based distributed system built on Stable Diffusion.By separating the character generation and story generation processes,and integratingmulti-feature control techniques,a cachingmechanism,and an asynchronous task queue architecture,the system enhances generation efficiency and scalability.The experimental design includes both automated and human evaluations of character consistency,performance testing,and multinode simulation.The results show that the proposed system outperforms the baseline model StoryGen in both CLIP-I and human evaluation metrics.In terms of performance,under the experimental environment of this study,dual-node deployment reduces average waiting time by approximately 19%,while the four-node simulation further reduces it by up to 65%.Overall,this study demonstrates the advantages of cloud-distributed GenAI in maintaining character consistency and reducing generation latency,highlighting its potential value inmulti-user collaborative story visualization applications.展开更多
AIM:To evaluate the clinical characteristics and risk factors associated with visual prognosis in patients with open globe injuries(OGIs)treated at Vietnam National Eye Hospital.METHODS:A prospective observational stu...AIM:To evaluate the clinical characteristics and risk factors associated with visual prognosis in patients with open globe injuries(OGIs)treated at Vietnam National Eye Hospital.METHODS:A prospective observational study included patients with OGIs treated between June 2023 and June 2024.Data on demographics,injury features,and clinical findings were extracted from medical records.Poor visual outcome was defined as final best-corrected visual acuity(BCVA)worse than 20/400 or no light perception.Multivariable logistic regression was performed to identify independent risk factors.RESULTS:Among 509 patients(636 eyes),the mean age was 35.13y(range 20–51y),and 67.6%were male.After treatment,the proportion of eyes achieving≥20/40 increased from 12.6%to 42.1%,while no light perception decreased from 29.1%to 9.4%.Independent predictors of poor visual outcomes included delayed admission[>4h,odds ratio(OR)=3.33,95%confidence intervals(CI):1.76–6.33,P<0.001],Zone III injury(OR=5.90,95%CI:2.85–12.24,P<0.001),wound length>10 mm(OR=2.59,95%CI:1.60–4.18,P<0.001),relative afferent pupillary defect(RAPD,OR=1.65,95%CI:1.03–2.64,P=0.039),endophthalmitis(OR=1.75,95%CI:1.01–3.03,P=0.047),retinal detachment(OR=3.32,95%CI:2.02–5.45,P<0.001),and eyelid lacerations(OR=1.94,95%CI:1.13–3.33,P=0.016)associated with OGIs.Vitreous hemorrhage(OR=0.44,95%CI:0.22–0.89,P=0.023)was associated with better outcomes,and female gender appeared protective.CONCLUSION:Poor visual outcomes remain common after OGIs,despite improve visual acuity in many cases.Several clinical and injury-related factors are strongly associated with prognosis.Early recognition of these predictors can support risk stratification and improve trauma care in similar settings.展开更多
为有效进行水库地下渗流预测,本文以某水库为例,通过对坝址区地质、水文等基本条件的了解,提出基于Visual Mod flow模拟的水库地下渗流预测方案。考虑天然、蓄水及防渗帷幕多种坝址区地下水工况,利用地下水渗流模型进行模拟分析,预测坝...为有效进行水库地下渗流预测,本文以某水库为例,通过对坝址区地质、水文等基本条件的了解,提出基于Visual Mod flow模拟的水库地下渗流预测方案。考虑天然、蓄水及防渗帷幕多种坝址区地下水工况,利用地下水渗流模型进行模拟分析,预测坝址区渗漏量,根据水库渗漏情况采取防渗措施,使水库安全、稳定运行。研究认为,蓄水水位1850 m较为合适,成库条件良好,水库维持此水位运行时具有较高的经济效益和生态效益。本研究对水库地下渗流预测提供参考,采用科学的方法保证水库地下渗流预测结果的可靠性,结合完善的防渗措施,提高水库建设水平和运行水平。展开更多
The stress-strain behavior of calcareous sand is significantly influencedby particle breakage(B)and initial relative density(Dri),but few constitutive models consider their combined effects.To bridge this gap,we condu...The stress-strain behavior of calcareous sand is significantly influencedby particle breakage(B)and initial relative density(Dri),but few constitutive models consider their combined effects.To bridge this gap,we conducted a series of triaxial tests on calcareous sand with varying Dri and stress paths,examining particle breakage and critical state behavior.Key findingsinclude:(1)At a constant stress ratio(η),B follows a hyperbolic relationship with mean effective stress(p'),and for a given p',B increases proportionally withη;(2)The critical state line(CSL)moves downward with increasing Dri,whereas the critical state friction angle(φcs)decreases with increasing B.Based on these findings,we propose a unifiedbreakage evolution model to quantify particle breakage in calcareous sand under various loading conditions.Integrating this model with the Normal Consolidation Line(NCL)and CSL equations,we successfully simulate the steepening of NCL and CSL slopes as B increases with the onset of particle breakage.Furthermore,we quantitatively evaluate the effect of B onφcs.Finally,within the framework of Critical State Soil Mechanics and Hypoplasticity theory,we develop a hypoplastic model incorporating B and Dri.The model is validated through strong agreement with experimental results across various initial relative densities,stress paths and drainage conditions.展开更多
X-rays are widely used in the non-destructive testing(NDT)of electrical equipment.Radio frequency(RF)electron linear accelerators can generate MeV high-energy X-rays with strong penetrating ability;however,the system ...X-rays are widely used in the non-destructive testing(NDT)of electrical equipment.Radio frequency(RF)electron linear accelerators can generate MeV high-energy X-rays with strong penetrating ability;however,the system generally has a large scale,which is not suitable for on-site testing.Compared with the S-band(S-linac)at the same stage of beam energy,the accelerator working in the X-band(X-linac)can compress the facility scale by over 2/3 in the longitudinal direction,which is convenient for the on-site NDT of electrical equipment.To address the beam quality and design complexity simultaneously,the non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ),which is a multi-objective genetic algorithm(MOGA),was developed to optimize the cavity chain design of the X-linac.Additionally,the designs of the focusing coils,electron gun,and RF couplers,which are other key components of the X-linac,were introduced in this context.In particular,the focusing coil distributions were optimized using a genetic algorithm.Furthermore,after designing such key components,PARMELA software was adopted to perform beam dynamics calculations with the optimized accelerating fields and magnetic fields.The results show that the beam performance was obtained with a capture ratio of more than 90%,an energy spread of less than 10%,and an average energy of approximately 3 MeV.The design and simulation results indicate that the proposed NSGAⅡ-based approach is feasible for X-linac accelerator design.Furthermore,it can be generalized as a universal technique for industrial electron linear accelerators provided that specific optimization objectives and constraints are set according to different application scenarios and requirements.展开更多
AIM:To explore the factors influencing the treatment duration and visual prognosis of cytomegalovirus(CMV)retinitis(CMVR)after allogeneic hematopoietic stem cell transplantation(allo-HSCT).METHODS:All participants rec...AIM:To explore the factors influencing the treatment duration and visual prognosis of cytomegalovirus(CMV)retinitis(CMVR)after allogeneic hematopoietic stem cell transplantation(allo-HSCT).METHODS:All participants received ganciclovir intravenous infusion or oral and intravitreal injection of ganciclovir(IVG)3 mg twice a week for 4 consecutive times(induction phase).The affected eyes were divided into stop treatment group(Group A),continue treatment group(Group B),and relapse after treatment group(Group C)according to whether local therapy could be terminated at the end of the induction phase and whether CMVR recurred within 3mo after the termination of local therapy.RESULTS:The study included 31 participants(48 eyes)diagnosed with CMVR including 11 males and 20 females.The mean age was(28±8.2)y.There were 17 cases of binocular disease(34 eyes)and 14 cases of monocular disease(14 eyes).Visual acuity improved in 26 eyes(54.1%),remained unchanged in 9 eyes(18.8%),and decreased in 13 eyes(27.1%).The peak value of blood CMV in Group B was significantly higher than that in Group A(P=0.013).The number of eyes with anterior chamber inflammation in Group C was significantly lower than that in Groups A and B(P=0.015,P=0.016).The average number of interval days was higher in Group A than in Group B.For Group A,there was a strong positive correlation between the number of eyes with CMV positive blood(r=0.712,P=0.031)and visual acuity changes.For Group B,there was a moderately strong positive correlation between the days of blood CMV after transplantation(r=0.371,P=0.043)and the times of injections.For Group C,there was a strong positive correlation between the peak value of blood CMV(r=0.719,P=0.029)and the times of injection.CONCLUSION:Systemic use of antivirals combined with intravitreal injection of antivirals is effective for patients with CMVR after allo-HSCT surgery.Patients with shorter interval days,higher peak or more days of blood CMV need more injections.Patients with positive blood CMV at initial diagnosis have worse visual prognosis.展开更多
文摘Test case prioritization and ranking play a crucial role in software testing by improving fault detection efficiency and ensuring software reliability.While prioritization selects the most relevant test cases for optimal coverage,ranking further refines their execution order to detect critical faults earlier.This study investigates machine learning techniques to enhance both prioritization and ranking,contributing to more effective and efficient testing processes.We first employ advanced feature engineering alongside ensemble models,including Gradient Boosted,Support Vector Machines,Random Forests,and Naive Bayes classifiers to optimize test case prioritization,achieving an accuracy score of 0.98847 and significantly improving the Average Percentage of Fault Detection(APFD).Subsequently,we introduce a deep Q-learning framework combined with a Genetic Algorithm(GA)to refine test case ranking within priority levels.This approach achieves a rank accuracy of 0.9172,demonstrating robust performance despite the increasing computational demands of specialized variation operators.Our findings highlight the effectiveness of stacked ensemble learning and reinforcement learning in optimizing test case prioritization and ranking.This integrated approach improves testing efficiency,reduces late-stage defects,and improves overall software stability.The study provides valuable information for AI-driven testing frameworks,paving the way for more intelligent and adaptive software quality assurance methodologies.
基金Computer Basic Education Teaching Research Project of Association of Fundamental Computing Education in Chinese Universities(Nos.2025-AFCEC-527 and 2024-AFCEC-088)Research on the Reform of Public Course Teaching at Nantong College of Science and Technology(No.2024JGG015).
文摘With the rapid development of artificial intelligence,the intelligence level of software is increasingly improving.Intelligent software,which is widely applied in crucial fields such as autonomous driving,intelligent customer service,and medical diagnosis,is constructed based on complex technologies like machine learning and deep learning.Its uncertain behavior and data dependence pose unprecedented challenges to software testing.However,existing software testing courses mainly focus on conventional contents and are unable to meet the requirements of intelligent software testing.Therefore,this work deeply analyzed the relevant technologies of intelligent software testing,including reliability evaluation indicator system,neuron coverage,and test case generation.It also systematically designed an intelligent software testing course,covering teaching objectives,teaching content,teaching methods,and a teaching case.Verified by the practical teaching in four classes,this course has achieved remarkable results,providing practical experience for the reform of software testing courses.
基金supported by the National Natural Science Foundation of China,No.82271115(to MY).
文摘Synaptic plasticity is essential for maintaining neuronal function in the central nervous system and serves as a critical indicator of the effects of neurodegenerative disease.Glaucoma directly impairs retinal ganglion cells and their axons,leading to axonal transport dysfuntion,subsequently causing secondary damage to anterior or posterior ends of the visual system.Accordingly,recent evidence indicates that glaucoma is a degenerative disease of the central nervous system that causes damage throughout the visual pathway.However,the effects of glaucoma on synaptic plasticity in the primary visual cortex remain unclear.In this study,we established a mouse model of unilateral chronic ocular hypertension by injecting magnetic microbeads into the anterior chamber of one eye.We found that,after 4 weeks of chronic ocular hypertension,the neuronal somas were smaller in the superior colliculus and lateral geniculate body regions of the brain contralateral to the affected eye.This was accompanied by glial cell activation and increased expression of inflammatory factors.After 8 weeks of ocular hypertension,we observed a reduction in the number of excitatory and inhibitory synapses,dendritic spines,and activation of glial cells in the primary visual cortex contralateral to the affected eye.These findings suggest that glaucoma not only directly damages the retina but also induces alterations in synapses and dendritic spines in the primary visual cortex,providing new insights into the pathogenesis of glaucoma.
文摘AIM:To compare the visual outcomes between bilateral implantation of Tecnis ZXR00 extended depth-of-focus(EDOF)intraocular lenses(IOLs)and mixed implantation of Tecnis ZXR00(EDOF)with Tecnis ZMB00(bifocal)IOLs.METHODS:This postoperative cross-sectional study enrolled patients who underwent phacoemulsification combined with IOL implantation.Patients were divided into two groups:the bilateral ZXR00 group(ZXR00-only group)and the mixed IOL group(ZXR00+ZMB00 group).Primary outcome measures included uncorrected and corrected distance visual acuity(UDVA,CDVA),uncorrected and distance-corrected near visual acuity(UNVA,DCNVA),uncorrected and distance-corrected intermediate visual acuity(UIVA,DCIVA),and defocus curves.Secondary outcome measures were visual quality,spectacle independence,patient satisfaction,photic phenomena,and stereopsis.RESULTS:A total of 47 patients(94 eyes)were included,with 26 patients(11 males,15 females)in the ZXR00-only group(mean age:62.73±7.24y)and 21 patients(7 males,14 females)in the mixed group(mean age:65.71±9.16y).There was no statistically significant difference in age between the two groups(P=0.218).The mixed group showed significantly better binocular DCNVA compared to the ZXR00-only group(P=0.002).Defocus curve analysis revealed that the mixed group exhibited superior performance at−2.5 to−4.0 D but inferior performance at−0.5 and−1.5 D.Near stereoacuity was significantly poorer in the mixed group(Randot:5.589±0.744 vs 6.240±0.394 ln arcsec;Contour:4.966±0.973 vs 5.740±0.833 ln arcsec;both P<0.01).Both groups achieved high levels of spectacle independence and patient satisfaction,with no significant differences in photic phenomena or questionnaire scores.CONCLUSION:Mixed implantation of EDOF and bifocal IOLs improve near visual acuity but may compromise near stereopsis.This approach provides a viable option for patients prioritizing near vision;however,caution is recommended for individuals requiring fine stereoscopic vision for daily or professional tasks.
基金Project supported by the Postgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.KYCX240139)funded by the Youth Independent Innovation Fund of PLA Army Engineering University(Grant No.KYJBJKQTZQ23006)。
文摘This study extends the self-propelled particle(SPP)model by incorporating a limited vision cone and local density sensing.The results reveal that clusters can simultaneously exhibit velocity polarization and spatial cohesion within specific ranges of vision angle and density threshold.The dependence of the dynamical features,including the order parameter and density variation,on the threshold and visual cone is investigated.Furthermore,a critical threshold is identified,which governs the transition between ordered and disordered states and is closely linked to density fluctuations and noise intensity.The clustering results show that the model is explained by the chasing mechanism responsible for cluster formation,density,and shape.These results may stimulate practical applications in swarm maneuvering.
基金supported by the Open Foundation of Key Laboratory of Cyberspace Security,Ministry of Education of China(KLCS20240211)。
文摘With the rapid development of Internet technology,REST APIs(Representational State Transfer Application Programming Interfaces)have become the primary communication standard in modern microservice architectures,raising increasing concerns about their security.Existing fuzz testing methods include random or dictionary-based input generation,which often fail to ensure both syntactic and semantic correctness,and OpenAPIbased approaches,which offer better accuracy but typically lack detailed descriptions of endpoints,parameters,or data formats.To address these issues,this paper proposes the APIDocX fuzz testing framework.It introduces a crawler tailored for dynamic web pages that automatically simulates user interactions to trigger APIs,capturing and extracting parameter information from communication packets.A multi-endpoint parameter adaptation method based on improved Jaccard similarity is then used to generalize these parameters to other potential API endpoints,filling in gaps in OpenAPI specifications.Experimental results demonstrate that the extracted parameters can be generalized with 79.61%accuracy.Fuzz testing using the enriched OpenAPI documents leads to improvements in test coverage,the number of valid test cases generated,and fault detection capabilities.This approach offers an effective enhancement to automated REST API security testing.
基金Supported by The Eye Hospital of Wenzhou Medical University(No.KYQD20220304)The Fifth Batch of Provincial Ten Thousand Personnel Program Outstanding Talents Funding(No.474092204)+1 种基金Innovative Talents and Teams(2024)-The Fifth Batch of Funding Funds for Scientific and Technological Innovation Leading Talents Under the Provincial Ten Thousand Personnel Program(No.4240924003G)The Key R&D Program of Zhejiang(No.2022C03112).
文摘AIM:To identify early biomarkers associated with glaucomatous visual field(VF)progression in patients with normal-tension glaucoma(NTG).METHODS:This study included patients were divided into two groups based on disease progression status.Tear samples were collected for proteomic analysis.Dataindependent acquisition(DIA)mass spectrometry combined with bioinformatic analyses was performed to identify and validate potential protein biomarkers for NTG progression.Additionally,differentially expressed proteins(DEPs)were evaluated using mediating effect models and receiver operating characteristic(ROC)curve analysis.RESULTS:A total of 19 patients(20 eyes)with NTG participated in this study,including 10 patients(4 males and 6 females;10 eyes)in the progression group with mean age of 67.70±9.03y and 10 patients(4 males and 6 females;10 eyes)in the non-progression group with mean age of 68.60±7.58y.A total of 158 significantly differentially expressed proteins were detected.UniProt database annotation identified 3 upregulated proteins and 12 downregulated proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis showed that these DEPs were mainly enriched in pathways such as oocyte meiosis.Gene Ontology(GO)enrichment analysis revealed functional clusters related to cellular processes.Weighted gene coexpression network analysis(WGCNA)indicated that the core proteins were primarily involved in the neurodegenerationmultiple diseases pathway and cellular processes.Mediating effect analysis identified PRDX4(L)as a potential protein biomarker.ROC curve analysis showed that GNAI1 had the largest area under the curve(AUC=0.889).CONCLUSION:This study identifies 15 differentially expressed proteins in the tear fluid of NTG patients,including PRDX4(L).PRDX4(L)plays a key role in oxidative stress.
基金funded by the National Natural Science Foundation of China(32471953)the Educational Department of Liaoning Province Key Research Project(LJ212410153073).
文摘Urban green spaces have positive effects on both physical and mental wellbeing.However,few studies have focused on the trends and thresholds of the effects of different influences on restorative benefits when viewing scenes differfeaturing plant communities.We measured subjective evaluations and objective physiological data from 44 participants who viewed images of plant communities in the yellow to green hue range to compare differences in restorative benefits among plant communities at different visual distances,as well as quantifying the influencing factors involved.The following results were found:(1)Coniferous and multi-layered plant communities were found to provide greater restorative benefits,and the restorative benefits grew with increasing visual distance.(2)Shape and color characteristics were significantly correlated with restorative benefits,but the relationship is not simply linear.(3)The restorative benefits were found to be greatest when crown proportion was 61.23%,trunk proportion ranged from 4.11%to 13.70%,and the value of color index value ranged from 25.44%to 35.56%;the restorative benefits gradually increased when sky proportion exceeded 12.95%-13.19%,the fractal dimension exceeded 1.62-1.67,and hue index exceeded 91.64°-95.67°;additionally,the restorative benefits decreased when the saturation index increased.This study provides a scientific basis for the construction and improvement of plant landscapes in urban green spaces.
基金supported by the Scientific Research Projects of the Education Department of Zhejiang Province(Grant No.Y202454744)the Ningbo Public Welfare Science and Technology Project(Grant No.2024S077)+1 种基金International Sci-tech Cooperation Projects under the“Innovation Yongjiang 2035”Key R&D Programme(No.2024H019)the Ningbo Key R&D Program(Grant No.2024Z287).
文摘The existing 2D settlement monitoring systems for utility tunnels are heavily reliant on manual interpretation of deformation data and empirical predictionmodels.Consequently,early anomalies(e.g.,minor cracks)are often misjudged,and warnings lag by about 24 h without automated spatial localization.This study establishes a technical framework for requirements analysis,architectural design,and data-integration protocols.Revit parametric modelling is used to build a 3D tunnel model with structural elements,pipelines and 18 monitoring points(for displacement and joint width).Custom Revit API code integrated real-time sensor data into the BIM platform via an automated pipeline.The system achieved a spatial accuracy of±1 mm in locating deformation hotspots.Notifications are triggered within 10 s of anomaly detection,and the system renders 3D risk propagation paths in real-time.Realtime 3D visualization of risk propagation paths is also facilitated.The efficacy of the solution was validated in a Ningbo utility tunnel project,where it was demonstrated that it eliminates human-dependent judgment errors and reduces warning latency by 99.9%compared to conventional methods.The BIM-IoT integrated approach,which enables millimetre-level precision in risk identification and near-instantaneous response,establishes a new paradigm for intelligent infrastructure safety management.
基金Support by Sichuan Science and Technology Program[2023YFSY0026,2023YFH0004]Guangzhou Huashang University[2024HSZD01,HS2023JYSZH01].
文摘Robust teleoperation in image-guided interventions faces critical challenges from latency,deformation,and the quasi-periodic nature of physiological motion.This paper presents a fully integrated,latency-aware visual servoing system leveraging stereo vision,hand–eye calibration,and learning-based prediction for motion-compensated teleoperation.The system combines a calibrated binocular camera setup,dual robotic arms,and a predictive control loop incorporating Long Short-Term Memory(LSTM)and Temporal Convolutional Network(TCN)models.Through experiments using both in vivo and phantom datasets,we quantitatively assess the prediction accuracy and motion-compensation performance of both models.Results show that TCNs deliver more stable and precise tracking,especially on regular trajectories,while LSTMs exhibit robustness under quasi-periodic dynamics.By matching prediction horizons to system latency,the approach significantly reduces peak and steady-state tracking errors,demonstrating practical feasibility for deploying prediction-augmented servoing in teleoperated surgical.
基金financially supported by ARC Linkage project(LP210200642)ARC Center of Excellence for Quantum Biotechnology(grant no.CE230100021)+1 种基金National Health and Medical Research Council Investigator Fellowship—(grant no.APP2017499)Chan Zuckerberg Initiative Deep Tissue Imaging Phase 2(grant no.DT12-0000000182).
文摘Lateral flow immunoassays(LFIAs)are low-cost,rapid,and easy to use for pointof-care testing(POCT),but the majority of the available LFIA tests are indicative,rather than quantitative,and their sensitivity in antigen tests are usually limited at the nanogram range,which is primarily due to the passive capillary fluidics through nitrocellulose membranes,often associated with non-specific bindings and high background noise.To overcome this challenge,we report a Beads-on-a-Tip design by replacing nitrocellulose membranes with a pipette tip loaded with magnetic beads.The beads are pre-conjugated with capture antibodies that support a typical sandwich immunoassay.This design enriches the low-abundant antigen proteins and allows an active washing process to significantly reduce non-specific bindings.To further improve the detection sensitivity,we employed upconversion nanoparticles(UCNPs)as luminescent reporters and SARS-CoV-2 spike(S)antigen as a model analyte to benchmark the performance of this design against our previously reported methods.We found that the key to enhance the immunocomplex formation and signal-to-noise ratio lay in optimizing incubation time and the UCNP-to-bead ratio.We therefore successfully demonstrated that the new method can achieve a very large dynamic range from 500 fg/mL to 10μg/mL,across over 7 digits,and a limit of detection of 706 fg/mL,nearly another order of magnitude lower than the best reported LFIA using UCNPs in COVID-19 spike antigen detection.Our system offers a promising solution for ultra-sensitive and quantitative POCT diagnostics.
基金financially supported by the National Natural Science Foundation of China(No.52303209)the“Lingyan”Program of Zhejiang Province(No.2024C03076)+1 种基金Zhejiang University K.P.Chao’s High Technology Development Foundationthe generous support provided by the joint research fund from the Shaoxing Institute of Zhejiang University and Shaoxing Maternity and Child Health Care Hospital。
文摘Responsive colorimetric materials exhibit significant potential for application in fields such as smart food packaging and wound monitoring.The functional integration of pH-indicators with material carriers enables breakthrough applications in nontraditional domains.In this study,we developed a novel material covalently grafted with a pH indicator that exhibited naked-eye pH-responsive color shifts.The covalent grafting of pH-responsive bromothymol blue onto carboxymethyl cellulose(CMC)was confirmed using advanced characterization techniques,including Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy.The pH-sensitive chromophore was covalently immobilized onto the CMC matrix through esterification,thereby establishing firm chemical conjugation.Moreover,a superior color-changing performance was achieved within several minutes in response to different pH values.The reusability and stability of this material offer distinct advantages over single-use pH test strips.pH-responsive colorimetric materials hold promise for efficient,noninvasive monitoring in intelligent packaging(food freshness),medical diagnostics(wound status,infections),biosensing,and environmental applications.
文摘AIM:To assess the visual acuity and visual quality of cataract patients who received femtosecond laser-assisted cataract surgery(FLACS)and multifocal intraocular lens(MIOL)implantation with an improved polishing technique during a 1-year follow-up period.METHODS:This study included 74 eyes from 37 patients,comprising 17 males and 20 females,with a mean age of 51.74±7.80 years.Using a coin toss method,one eye per patient was randomly selected for improved anterior capsular polishing,while the other eye received standard irrigation/aspiration(I/A)polishing.The polishing group consisted of 37 eyes,including 21 right and 16 left eyes,while the control group comprised the contralateral fellow eyes of the same individuals in the polishing group.Visual acuity and quality of the patients were evaluated before surgery and at 1 wk,1,6,and 12 mo after surgery.The OPD-Scan III was utilized to assess high-order aberrations,while the optical quality analysis system(OQAS)was employed to evaluate modulation transfer function(MTF cutoff),Strehl ratio(SR),and objective scatter index(OSI)for the purpose of visual quality assessment.Paired t-tests and repeated measures analysis of variance(ANOVA)were utilized to compare the results,and the SNK-q post hoc test was applied to identify significant differences.RESULTS:The polishing group’s uncorrected distant visual acuity(UDVA)and uncorrected near visual acuity(UNVA)significantly improved 1-week post-surgery(all P<0.05).At 12-months,UDVA,UNVA,and corrected distant visual acuity(CDVA)were better than the control group(P<0.05).The MTF cutoff,SR,OSI,and high-order aberrations in the polishing group also showed significant improvements compared to the control group at 12 mo(P<0.05).CONCLUSION:The improved capsular polishing method has been demonstrated to effectively maintain visual acuity and visual quality in patients with MIOL after FLACS within 1 a.
文摘With the rapid development of generative artificial intelligence(GenAI),the task of story visualization,which transforms natural language narratives into coherent and consistent image sequences,has attracted growing research attention.However,existing methods still face limitations in balancing multi-frame character consistency and generation efficiency,which restricts their feasibility for large-scale practical applications.To address this issue,this study proposes a modular cloud-based distributed system built on Stable Diffusion.By separating the character generation and story generation processes,and integratingmulti-feature control techniques,a cachingmechanism,and an asynchronous task queue architecture,the system enhances generation efficiency and scalability.The experimental design includes both automated and human evaluations of character consistency,performance testing,and multinode simulation.The results show that the proposed system outperforms the baseline model StoryGen in both CLIP-I and human evaluation metrics.In terms of performance,under the experimental environment of this study,dual-node deployment reduces average waiting time by approximately 19%,while the four-node simulation further reduces it by up to 65%.Overall,this study demonstrates the advantages of cloud-distributed GenAI in maintaining character consistency and reducing generation latency,highlighting its potential value inmulti-user collaborative story visualization applications.
文摘AIM:To evaluate the clinical characteristics and risk factors associated with visual prognosis in patients with open globe injuries(OGIs)treated at Vietnam National Eye Hospital.METHODS:A prospective observational study included patients with OGIs treated between June 2023 and June 2024.Data on demographics,injury features,and clinical findings were extracted from medical records.Poor visual outcome was defined as final best-corrected visual acuity(BCVA)worse than 20/400 or no light perception.Multivariable logistic regression was performed to identify independent risk factors.RESULTS:Among 509 patients(636 eyes),the mean age was 35.13y(range 20–51y),and 67.6%were male.After treatment,the proportion of eyes achieving≥20/40 increased from 12.6%to 42.1%,while no light perception decreased from 29.1%to 9.4%.Independent predictors of poor visual outcomes included delayed admission[>4h,odds ratio(OR)=3.33,95%confidence intervals(CI):1.76–6.33,P<0.001],Zone III injury(OR=5.90,95%CI:2.85–12.24,P<0.001),wound length>10 mm(OR=2.59,95%CI:1.60–4.18,P<0.001),relative afferent pupillary defect(RAPD,OR=1.65,95%CI:1.03–2.64,P=0.039),endophthalmitis(OR=1.75,95%CI:1.01–3.03,P=0.047),retinal detachment(OR=3.32,95%CI:2.02–5.45,P<0.001),and eyelid lacerations(OR=1.94,95%CI:1.13–3.33,P=0.016)associated with OGIs.Vitreous hemorrhage(OR=0.44,95%CI:0.22–0.89,P=0.023)was associated with better outcomes,and female gender appeared protective.CONCLUSION:Poor visual outcomes remain common after OGIs,despite improve visual acuity in many cases.Several clinical and injury-related factors are strongly associated with prognosis.Early recognition of these predictors can support risk stratification and improve trauma care in similar settings.
文摘为有效进行水库地下渗流预测,本文以某水库为例,通过对坝址区地质、水文等基本条件的了解,提出基于Visual Mod flow模拟的水库地下渗流预测方案。考虑天然、蓄水及防渗帷幕多种坝址区地下水工况,利用地下水渗流模型进行模拟分析,预测坝址区渗漏量,根据水库渗漏情况采取防渗措施,使水库安全、稳定运行。研究认为,蓄水水位1850 m较为合适,成库条件良好,水库维持此水位运行时具有较高的经济效益和生态效益。本研究对水库地下渗流预测提供参考,采用科学的方法保证水库地下渗流预测结果的可靠性,结合完善的防渗措施,提高水库建设水平和运行水平。
基金support to this study from the National Natural Science Foundation of China,NSFC(Grant No.52278367)The Belt and Road Special Foundation of the National Key Laboratory ofWater Disaster Prevention(Grant No.2024nkms08).
文摘The stress-strain behavior of calcareous sand is significantly influencedby particle breakage(B)and initial relative density(Dri),but few constitutive models consider their combined effects.To bridge this gap,we conducted a series of triaxial tests on calcareous sand with varying Dri and stress paths,examining particle breakage and critical state behavior.Key findingsinclude:(1)At a constant stress ratio(η),B follows a hyperbolic relationship with mean effective stress(p'),and for a given p',B increases proportionally withη;(2)The critical state line(CSL)moves downward with increasing Dri,whereas the critical state friction angle(φcs)decreases with increasing B.Based on these findings,we propose a unifiedbreakage evolution model to quantify particle breakage in calcareous sand under various loading conditions.Integrating this model with the Normal Consolidation Line(NCL)and CSL equations,we successfully simulate the steepening of NCL and CSL slopes as B increases with the onset of particle breakage.Furthermore,we quantitatively evaluate the effect of B onφcs.Finally,within the framework of Critical State Soil Mechanics and Hypoplasticity theory,we develop a hypoplastic model incorporating B and Dri.The model is validated through strong agreement with experimental results across various initial relative densities,stress paths and drainage conditions.
基金supported by the National Natural Science Foundation of China(Nos.12341501 and 12575164)。
文摘X-rays are widely used in the non-destructive testing(NDT)of electrical equipment.Radio frequency(RF)electron linear accelerators can generate MeV high-energy X-rays with strong penetrating ability;however,the system generally has a large scale,which is not suitable for on-site testing.Compared with the S-band(S-linac)at the same stage of beam energy,the accelerator working in the X-band(X-linac)can compress the facility scale by over 2/3 in the longitudinal direction,which is convenient for the on-site NDT of electrical equipment.To address the beam quality and design complexity simultaneously,the non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ),which is a multi-objective genetic algorithm(MOGA),was developed to optimize the cavity chain design of the X-linac.Additionally,the designs of the focusing coils,electron gun,and RF couplers,which are other key components of the X-linac,were introduced in this context.In particular,the focusing coil distributions were optimized using a genetic algorithm.Furthermore,after designing such key components,PARMELA software was adopted to perform beam dynamics calculations with the optimized accelerating fields and magnetic fields.The results show that the beam performance was obtained with a capture ratio of more than 90%,an energy spread of less than 10%,and an average energy of approximately 3 MeV.The design and simulation results indicate that the proposed NSGAⅡ-based approach is feasible for X-linac accelerator design.Furthermore,it can be generalized as a universal technique for industrial electron linear accelerators provided that specific optimization objectives and constraints are set according to different application scenarios and requirements.
文摘AIM:To explore the factors influencing the treatment duration and visual prognosis of cytomegalovirus(CMV)retinitis(CMVR)after allogeneic hematopoietic stem cell transplantation(allo-HSCT).METHODS:All participants received ganciclovir intravenous infusion or oral and intravitreal injection of ganciclovir(IVG)3 mg twice a week for 4 consecutive times(induction phase).The affected eyes were divided into stop treatment group(Group A),continue treatment group(Group B),and relapse after treatment group(Group C)according to whether local therapy could be terminated at the end of the induction phase and whether CMVR recurred within 3mo after the termination of local therapy.RESULTS:The study included 31 participants(48 eyes)diagnosed with CMVR including 11 males and 20 females.The mean age was(28±8.2)y.There were 17 cases of binocular disease(34 eyes)and 14 cases of monocular disease(14 eyes).Visual acuity improved in 26 eyes(54.1%),remained unchanged in 9 eyes(18.8%),and decreased in 13 eyes(27.1%).The peak value of blood CMV in Group B was significantly higher than that in Group A(P=0.013).The number of eyes with anterior chamber inflammation in Group C was significantly lower than that in Groups A and B(P=0.015,P=0.016).The average number of interval days was higher in Group A than in Group B.For Group A,there was a strong positive correlation between the number of eyes with CMV positive blood(r=0.712,P=0.031)and visual acuity changes.For Group B,there was a moderately strong positive correlation between the days of blood CMV after transplantation(r=0.371,P=0.043)and the times of injections.For Group C,there was a strong positive correlation between the peak value of blood CMV(r=0.719,P=0.029)and the times of injection.CONCLUSION:Systemic use of antivirals combined with intravitreal injection of antivirals is effective for patients with CMVR after allo-HSCT surgery.Patients with shorter interval days,higher peak or more days of blood CMV need more injections.Patients with positive blood CMV at initial diagnosis have worse visual prognosis.
