Defect Size Research Articles

Analysis of rapid decompression failure in polymer liner of Type IV hydrogen storage vessels using a novel fluid–solid coupling model

Type IV vessels have been developed for hydrogen storage systems, but the rapid decompression failure during the decompression process can lead to the collapse of the liner, significantly reducing the lifespan of the vessels. This study aims to investigate nonlinear buckling behaviors and collapse mechanisms of polymer liner in Type IV hydrogen storage vessels. Considering the intrinsic coupling between hydrogen gas depletion and mechanical behavior of vessels, a fluid–solid coupling model was proposed using the fluid cavity techniques and HyperMesh. Results indicated that the pressure difference generated on the liner is the primary cause leading to the polymer liner collapse. The critical pressure difference significantly increases with the thickness of the liner, while it decreases nonlinearly with the increase in void defect size. Parametric sensitivity analysis highlighted the depth of initial void defect and the liner thickness as two significant influencing factors in the critical decompression rate.

Dynamic characteristics and damage identification with interface damage of slabs in movable point crossing

As the operating density of China’s high-speed railway increases, the phenomenon of interlayer debonding in movable point crossing (MPC) is becoming more prevalent, which can lead to failure of the frog’s slab track. Meanwhile, vehicle impacts and interlayer debonding can exacerbate abnormal vibration of the vehicle and even lead to derailment. Therefore, based on the theory of rigid-flexible coupling dynamics, a vehicle-turnout-slab coupling dynamics model is established for the first time. In this model, the crossing rails with variable cross sections is considered and the interlayer debonding between turnout slabs is modelled by nonlinear springs. Then, the characteristics of the debonding is identified by applying a wavelet transform to the dynamic response of the vehicle. Finally, different types and sizes of debonding between the layers are considered. The results show that different debonding can lead to two types of contact, partial contact and complete voiding, which can further lead to detrimental effects on vehicle safety. And the limit of the defect size that causes the track slab to void is 1 mm. On this basis, it was found that when MPC’s slab tracks were voided, longer debonding can cause high frequency vibration acceleration of approximately 700 Hz in the vehicle axle box. The new insights obtained by this study could provide guidance for the maintenance period and avoid the development of the damage. This study not only obtained a mechanism for the effect of interlayer debonding on the dynamic response of the vehicle-track system, but also provides a theoretical basis of detecting interlayer debonding for future study.

Laboratory Investigation of the Effects of Blanket Defect Size on Initiation of Backward Erosion Piping

Laboratory Investigation of the Effects of Blanket Defect Size on Initiation of Backward Erosion Piping

Clinical Features and Visual Outcome of Infectious Keratitis Associated with Orthokeratology Lens in Korean Pediatric Patients.

To investigate the clinical features and visual outcome of infectious keratitis associated with orthokeratology (Ortho-K) lens in Korean pediatric patients. We retrospectively reviewed medical records of patients diagnosed with Ortho-K lens-related infectious keratitis from June 2005 to April 2020 at a tertiary referral hospital. Patients' demographics, clinical features, microbiological evaluation, and treatment methods were assessed, and factors related to final visual outcomes were analyzed. The study included 26 eyes from 26 patients (19 female and 7 male patients; mean age, 11.9 years), with an average Ortho-K lens wear duration of 33.7 ± 21.2 months. The highest number of cases occurred in summer (11 of 26 cases, 42.3%). Central or paracentral corneal lesions were observed in 25 cases (96.2%), with a mean corneal epithelial defect size of 5.13 mm2. Pseudomonas aeruginosa was the most commonly isolated organism (n = 5), followed by Serratia marcescens (n = 4). All patients responded to medical treatment without needing surgical intervention. 72% of cases achieved favorable visual outcomes (Snellen best-corrected visual acuity [BCVA] >6 / 12), while 8% experienced severe visual impairment (Snellen BCVA ≤6 / 60) due to residual central corneal opacities. Multivariable analysis showed that non-summer seasons (p = 0.043), duration from symptom onset to presentation (p = 0.040), and corneal epithelial defect size (p = 0.002) were significantly associated with final logarithm of the minimum angle of resolution BCVA. Failed autorefraction at presentation due to an Ortho-K-related infectious keratitis lesion was a significant predictor of poor final visual outcome (Snellen BCVA ≤6 / 12; odds ratio, 38.995; p = 0.030). Ortho-K lens-related infectious keratitis can lead to permanent corneal opacities and potentially devastating visual outcomes in children. Delayed time to presentation, large corneal lesions, failure of autorefraction, and non-summer seasons were associated with poorer outcomes. Proper education and early detection would be key to safe use of orthokeratology lenses in pediatric patients.

Microfracture for medium size to large knee chondral defects has limited long-term efficacy: A systematic review.

To evaluate clinical and radiographic outcomes, return to sport, failure rate, operations and complications in patients undergoing microfracture of the knee, including the femoral condyle, tibial plateau, patella and trochlea, at a mean 10-year or greater follow-up. A literature search was performed by querying SCOPUS, PubMed, Medline and the Cochrane Central Register for Controlled Trials from database inception through May 2023 according to the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Inclusion criteria were level I-IV human studies reporting on outcomes, reoperations and complications following microfracture of the knee at a mean 10-year or greater follow-up. Biomechanical and epidemiological studies, including patients undergoing concomitant realignment procedures, and studies with patients under 18 years old were excluded. Data regarding failure, as defined by each study, as well as reoperations were gathered. Study quality was assessed via the Methodological Index for Nonrandomized Studies criteria. Nine studies from 2003 to 2018, consisting of 727 patients (mean age 38.9 ± 8.1 years; range 25.8-47.6) undergoing microfracture for chondral defects in the knee were identified. Mean follow-up ranged from 10 to 17 years. Males composed 56.5% of patients, with a mean defect size ranging from 2.3 to 4.01 cm2. Based on radiographs at follow-up, osteoarthritis progression occurred in 40%-48% of patients. Magnetic Resonance Observation of Cartilage Repair Tissue scores were low. Patient-reported outcome measures showed significant improvement in postoperative scores at final follow-up. Return-to-sport rate ranged from 17.2% to 20%. Longitudinal analysis revealed declining clinical outcomes and return-to-sport rates from short- and mid- to long-term follow-up. There was high variability in failure definition and reoperations, with 2.9%-41% of patients requiring total knee arthroplasty. At a mean 10-year or greater follow-up, microfracture for chondral defects of the knee 2-4 cm2 in size demonstrated a high rate of osteoarthritis progression with poor healing of the chondral defect and low overall return-to-sport rates. Failure and reoperation rates ranged from 2.9% to 41%, with declining outcomes from short- and mid- to long-term follow-up. The advantages of microfracture relating to availability, complexity, and cost should be weighed against concerns about long-term success, particularly with medium-size and larger lesions. Level IV systematic review.

Influence of procedural timing on the preventive yield of percutaneous patent foramen ovale closure

BackgroundThe benefit of patent foramen ovale closure (PFOC) ≤9 months after a cryptogenic stroke has been demonstrated in several randomised clinical trials. There is, however, insufficient data to support PFOC...

Meningomyelocele defect report: surgical technique selection

Aims: Surgical repair of meningomyelocele is important in terms of infection, cerebrospinal fluid (CSF) leakage, and preservation of neural structures. While there are numerous techniques available for repair, there are few guidelines on when flap repair should be performed. In this study, we employed a method to select the surgical technique. Methods: Thirty-two patients with meningomyelocele who underwent surgery were included in the study. The decision to use or not to use a flap was based on the ratio of defect height to width and the ratio of the axillary line to defect width. Results: Fasciocutaneous transposition flap (FTF) repair was performed in 17 patients, whereas primary repair was performed in 15 patients. There was no statistically significant difference between the groups in terms of preoperative characteristics of the patients. In the FTF group, one patient experienced necrosis at the wound site, and one patient developed a cerebrospinal fluid fistula. In the primary repair group, necrosis was observed in one patient, CSF fistula developed in two patients, and central nervous system infection developed in one patient. No statistically significant difference was found between the groups in terms of complications. Conclusion: The results obtained in the present study suggest that the shape of the defect and the ratio of intact tissue to defect size are more important than the size of the defect itself in achieving appropriate tension during repair. By employing the patient selection guidelines we achieved successful outcomes using a different flap technique.

Efficacy and Functional Outcomes of Platysma Myocutaneous Flap in Oral and Maxillofacial Reconstruction.

Maxillofacial reconstruction strives to restore the form and function of the maxillofacial region in patientswith deformities caused by trauma, disease, cancer, or congenital malformations. An array of surgical procedures has been advised for restoring soft tissues in the oral cavity, with varied degrees of efficacy. This prospective study seeks to provide a thorough understanding of the success rate, complications, functional outcomes, and patient satisfaction associated with the utilization of platysma myocutaneous flap (PMF) in this specialized domain. This study aims to elaborate on the PMF surgical technique, along with the flap design, outcomes, and intricacies associated with age, gender, the recipient site, and defect size. The study included 30 patients with oral malignancies who intervened under general anesthesia with wide local excision and reconstruction with PMF at a single tertiary care center. The results showed that the PMF is an efficient flap in the context of its ease of harvest, minimal donor site morbidity, low complication rates (infection - 26.67%, flap dehiscence - 16.67%, and flap necrosis - 6.77%), and ability to rehabilitate both form and function. In conclusion, the PMF stands as a viable alternative in oral and maxillofacial reconstruction, offering a combination of versatility, reliable blood supply, and potential for functional restoration.

A Comparison of Postoperative Outcomes Based on Muscle versus Fasciocutaneous Flaps in Scalp Reconstruction: A Systematic Review and Meta-analysis.

Scalp reconstruction in plastic and reconstructive surgery often necessitates the transfer of soft-tissue flaps to restore form and function. The critical decision lies in choosing between muscle-containing (MC) and fasciocutaneous (FC) flaps for scalp reconstruction, and while both variants have their merits, flap composition remains a subject of ongoing debate. This scientific discussion aims to explore this contentious issue through a comprehensive meta-analysis, shedding light on the rationale behind the choice of these flaps and the potential impact on clinical outcomes. A comprehensive systematic review was conducted following PRISMA-P guidelines, encompassing six prominent databases up to the year 2023. Data were collected from studies assessing outcomes of MC and FC flaps for scalp reconstruction. Quality evaluation was performed using ASPS criteria and the ROBINS-I tool. Statistical analysis included descriptive statistics, meta-analysis, sensitivity analysis, and assessment of bias using STATA software. The meta-analysis included 28 nonrandomized studies, totaling 594 flaps (MC: 380, FC: 214). MC flaps were significantly larger than FC flaps. There were no significant differences in flap loss, flap necrosis, or wound dehiscence between the two flap types. However, the incidence of venous congestion was significantly higher in FC flaps. Sensitivity analysis confirmed the robustness of results, and publication bias assessment showed no significant evidence of bias. While both MC and FC flaps offer viable options for scalp reconstruction, the choice should be tailored to individual patient characteristics and defect size. FC flaps may provide advantages such as shorter operative times and reduced morbidity, whereas MC flaps could be preferred for addressing larger defects. Future research should focus on prospective studies and strategies to mitigate venous congestion in FC flaps, enhancing their safety and efficacy in scalp reconstruction.

Laser ultrasound wave pattern analysis for efficient defect detection in samples with curved surfaces

Many production processes involve curved sample surfaces, such as welding or additive manufacturing. These pose new challenges to characterization methods for quality inspection, which are usually optimized for flat extended sample geometries. In this paper, we present a laser ultrasound (LUS) method that can be used to efficiently detect defects (e.g., voids), without extensive scanning effort and without a prior knowledge of the defect location, in finite samples with curved surfaces. The developed method starts with generalized simulations of the LUS wave patterns in samples with varying radii of curvature and width as well as varying excitation size and mechanism (thermoelastic or ablative). Based on the wave pattern analysis, it is possible to predict how every point in the weld can be reached with only few excitation spots. In a second step, we assume a grid of finite size defects at locations at which such voids are most likely formed and perform a thorough simulation analysis that is based on B-Scans to find a few pairs of excitation–detection points most favorable for finding defects anywhere in the weld seam. These results are then compared to the wave pattern analysis, discussing similarities and deviations from the predictions. In a final step, the simulations are compared to experimental results, verifying the almost threefold increase in the detectability of defects by choosing the predicted optimal excitation–detection positions. It is expected that this method will significantly improve the reliability and time efficiency of detecting internal defects in samples with curved surfaces in potential industrial applications.

Recommendations for the diagnosis of occult inguinal hernias using a modified Delphi technique.

Occult inguinal hernias are inguinal hernias that are not felt on physical exam but can often be seen on imaging. Their diagnosis can be challenging, leading to unnecessary surgeon referrals, undue patient stress, and even unneeded surgery. The aim of this project was to develop recommendations for the diagnosis of occult inguinal hernias using a modified Delphi technique. Iterative rounds of surveys were administered to an expert panel of surgeons and radiologists. Panelists were asked to rate potential hernia-related topics by levels of importance. Items with 80% agreement were included for further discussion. Panelists were asked to provide their opinion on each included subject. A virtual meeting was conducted to discuss areas without agreement and determine final recommendations. Three surgeons and five radiologists participated. There was strong agreement that dynamic ultrasound is a good first/confirmatory imaging choice. There was agreement that the radiology reports for studies assessing inguinal hernias should include hernia contents (80%) and hernia size (100%). Information that should be provided to the radiologist when ordering an imaging study include indication for study, patient symptoms, prior hernia surgery. Items that should be included in a radiology report include whether the presence of an inguinal hernia was assessed, hernia contents, size of defect, +/- hernia type. This collaboration between surgeons and radiologists creates a diagnostic imaging pathway and standardizing imaging reporting which will be used to improve the diagnosis of occult inguinal hernias. Future studies testing these recommendations in a prospective study are warranted.

High cycle fatigue behavior and strengthening mechanisms of laser powder bed fusion pure tantalum

The fatigue behavior and strengthening mechanisms of the laser powder bed fusion pure tantalum (LPBF-Ta), coupled with a fatigue life prediction model, were originally explored. The fatigue strength of LPBF-Ta fabricated at the optimal laser energy density (154.16 J/mm3) is 348 MPa (106 cycles), showing a remarkable improvement of about 80 % and 50 % compared with that of the annealed and cold worked commercially pure tantalum, respectively. The microstructural analysis identifies that cellular structures averaging 300 nm in size contribute 438.2 MPa to strengthening, serving as the main contributor to fatigue strength. The breaching of cell walls by dislocations, along with the activation of cross-slip, ensures plasticity and ultimately enhances fatigue strength. Besides, the analysis of the defects reveals that the internal lack of fusion pore can induce the secondary fatigue crack, resulting in a region of brittle crack propagation. Furthermore, a finite life prediction model is established by originally incorporating the size of the crack source defect, and it significantly improves the prediction accuracy of the fatigue life. These results provide guidance for the development of fatigue strengthening strategies for LPBF-Ta.

A customised ConvNeXt-SCC network: integrating improved principal component analysis with ConvNeXt to enhance tire crown defect detection

ABSTRACT Defects such as bubbles and rubber shortages occasionally occur during vehicle tire production. Tiny defects in the crown gradually expand under load, ultimately causing tire failure. However, machine-vision-based crown defect detection faces challenges like limited datasets, varying groove patterns, low colour contrast, and small defect sizes. Therefore, this article integrates principal component analysis (PCA) and deep learning techniques for the visual detection of tire crown defects. A dataset of tire crown defects suitable for deep learning was constructed using an improved-PCA method and composite sampling. We propose the ConvNeXt-Shallow Conv CBAM (ConvNeXt-SCC) model, which includes an improved convolutional block attention module (CBAM) in a shallow stacked structure. And we propose an efficient and accurate method called Improved Selective Search (ISS) to detect and locate tire crown defective regions. The ISS pre-selected box generation method, enhanced with a priori knowledge filtering module, was used alongside a classification model to achieve online inference detection of large-size tire crown images. The experimental results show that the performance indices of the proposed ConvNeXt-Shallow Conv CBAM (ConvNeXt-SCC) model significantly improve compared to the original ConvNeXt-T. The defect detection and localisation method based on ISS meets the online inspection requirements of tire production.

The transepicondylar distance is a reliable and easily measured parameter for estimating femoral cartilage surface area using MRI.

Different cartilage repair techniques are widely used to regenerate cartilage, such as autologous chondrocyte implantation (ACI), osteochondral autograft transfer, microfracturing and minced cartilage. Defect size is a key parameter for selecting the best procedure to repair cartilage. However, the defect's size is not related to the patient's total cartilage surface. This is because assessing the femoral cartilage surface area is time-consuming and therefore unsuitable in the daily clinical routine. It has been proposed that the femur's total cartilage area correlates positively with the transepicondylar distance (TEA). The knees of 40 subjects were analysed. Their average age was 30.1 ± 8.6 years. Twenty-four female and 16 male subjects were examined. Their mean body height was 176.2 ± 8.8 cm. MRI scans were performed via 3-Tesla MRI. These data were postprocessed and quantified using the browser-based, customizable SATORI platform (Fraunhofer MEVIS). This software computed the femoral cartilage surface area (FeCA), the patella cartilage surface area (PCA), the TEA and the patella length. Body height reveals a good correlation (r = 0.722, p < 0.001) with the distal femur's cartilage area surface. However, regression analysis shows only moderate dependence (R2: 0.514). A very good correlation (r = 0.830, p < 0.001) was observed between the TEA distance and the total cartilage surface area of the distal femur. The regression analysis yields a good value (R2: 0.684). The cranio-caudal length of the patella was chosen as a suitably measurable two-dimensional parameter for correlation analysis with the patella's total cartilage surface area. Those results yield a poor correlation (r = 0.577, p < 0.001) between the two parameters, and regression analysis reveals a low value (R2: 0.384). The TEA is a reliable parameter for estimating the femur's cartilage area using MRI. A simple determination of this parameter allows the estimation of the femur's total cartilage area as well as the surface-corrected defect size (SCDS) in daily routine. Level II.

Ultrasonic TFM imaging inspection of large complex rings using defect quantitative evaluation mappings

ABSTRACT Large complex rings are widely used in wind power energy, aerospace, large construction machinery. There are different scales of defects in the manufacturing process for large complex rings. Because of the complex cross-section and large thickness, it is difficult to quantitative evaluation of defects by conventional ultrasonic technology. Therefore, the ultrasonic total focusing method (TFM) defect quantitative inspection for large complex rings is proposed in this paper. First, the TFM inspection technology of large complex rings for simultaneous scanning of the end-face and side-face is designed. Then, the maximum amplitudes of defects are collected at each grid point of the imaging area by the TFM inspection of calibration specimens. The Φ1.5mm defect quantitative evaluation mappings are obtained by the interpolation fitting algorithm. Finally, the ultrasonic TFM and B-scan inspection experiments of the Φ3440mm large ring are carried out. The results show that the TFM quantitative evaluation mapping has higher accuracy compared to the conventional B-scan method. Especially for the Φ1.5mm defects, the average error of TFM quantitative evaluation is 2.92%. The proposed method can effectively identify defects of other sizes that exceed the calibration mapping. This work has industrial application value for developing ultrasonic TFM inspection of large complex components.

Mesh exposure after ventral hernia repair with onlay biosynthetic mesh: a retrospective review of associated risk factors and management strategies.

Although intraperitoneal and retromuscular mesh placement in ventral hernia repair (VHR) are associated with lower recurrence rates, the onlay plane remains a well-established option for certain clinical scenarios. A knowledge gap remains regarding resorbable biosynthetic onlay mesh and mesh exposure. We aim to determine exposure rate, risk factors, and treatment options. A single-center, two-surgeon retrospective review was performed examining patients who underwent VHR with onlay, Poly-4-hydroxybutyrate (P4HB) mesh from 2015 to 2021. Demographics, operative characteristics, outcomes, and mesh exposure management were analyzed. Of 346 patients, 15 (4.3%) experienced mesh exposure. The mean age was 53 years and BMI of 33.6kg/m2. Patients were majority ASA class 3 (65%), female (64.2%), and averaged a defect size of 307.9 ± 235.2 cm2. Independent risk factors included diabetes (AOR = 4.3,CI 1.5-12.5;p < 0.005) and COPD (AOR = 5.2,CI 1.3-21.8;p = 0.02). Mesh exposures were identified as outpatient (20%) or intraoperative (80%). All underwent operative debridement, in which nine were managed with skin reclosure, two with partial closure, and four healed by secondary intention. Five patients required excision of unincorporated mesh. Four patients required further debridement from chronic surgical site occurrences; however, all mesh exposure patents healed after a mean of 260.8 ± 313.2 days and retained original mesh. The recurrence rate was 6.7% for mesh exposure patients. When faced with mesh exposure, resorbable biosynthetic mesh placed in onlay fashion was retained in all patients. Patients with a history of diabetes or COPD have increased risk of mesh exposure and should be counseled.

A Simplified Failure Assessment to Identify Crack Growth Behavior in the Gas Pipeline by Post-Hydrostatic Pressure

Hydrostatic pressure tests on pipelines have been found to be an inadequate means of critical integrity management due to the frequency of false negatives, which result from the inability of these tests to detect crack growth. It can be argued that focusing on pipe leakage does not guarantee future operability. A study presents a failure assessment methodology based on the failure assessment diagram (FAD), which aims to predict crack growth during hydrotesting. The calibrated pipe spool is validated by the application of data from hydrostatic tests and analytical techniques to ascertain the potential growth in circumferential surface cracks. A variety of factors, including pressure, material grades, flaw dimensions, and elliptical flaw angles, were examined in an effort to assess cracks. The results demonstrate that there is no pipeline leakage and minimal trapped air. Despite its location within the plastic zone, with a normalized pressure index of ≤1, the pipeline is deemed to be within acceptable limits according to the criteria established by the FAD. The assessment point was found to be predominantly influenced by the toughness ratio of the material grade. The crack propagated in the opposite direction with a maximum length a/c= 0.125 and a crack depth a/t= 0.2, which limited the toughness ratio. The load ratio indicates uniformity in elliptical angle flaw results. In this simplified failure assessment, the parameter describing the flaw size, which exhibits a strong correlation with the toughness ratio, plays a pivotal role. Further research and recommendations are also proposed.

TAFENet: A Two-Stage Attention-Based Feature-Enhancement Network for Strip Steel Surface Defect Detection

Strip steel serves as a crucial raw material in numerous industries, including aircraft and automobile manufacturing. Surface defects in strip steel can degrade the performance, quality, and appearance of industrial steel products. Detecting surface defects in steel strip products is challenging due to the low contrast between defects and background, small defect targets, as well as significant variations in defect sizes. To address these challenges, a two-stage attention-based feature-enhancement network (TAFENet) is proposed, wherein the first-stage feature-enhancement procedure utilizes an attentional convolutional fusion module with convolution to combine all four-level features and then strengthens the features of different levels via a residual spatial-channel attention connection module (RSC). The second-stage feature-enhancement procedure combines three-level features using an attentional self-attention fusion module and then strengthens the features using a RSC attention module. Experiments on the NEU-DET and GC10-DET datasets demonstrated that the proposed method significantly improved detection accuracy, thereby confirming the effectiveness and generalization capability of the proposed method.

Association between subcortical nuclei volume changes and cognition in preschool-aged children with tetralogy of Fallot after corrective surgery: a cross-sectional study

BackgroundNeurocognitive disorders frequently occur in patients with cyanotic congenital heart disease (CCHD) because of the hemodynamic abnormalities induced by preoperative cardiac structural changes. We aimed to evaluate subcortical nuclei volume changes and cognition in postoperative tetralogy of Fallot (TOF) children, and analyze their relationship with preoperative cardiac structural changes.MethodsThis case-control study involved thirty-six children with repaired TOF and twenty-nine healthy controls (HCs). We utilized three-dimensional (3D) T1-weighted high-resolution structural images alongside the Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition (WPPSI-IV) to evaluate the cognitive differences between the TOF and HC group.ResultsWe observed notable differences in subcortical nuclei volume between the TOF and HC group, specifically in the left amygdala nucleus (LAM, TOF: 1292.60 ± 155.57; HC: 1436.27 ± 140.62, p < 0.001), left thalamus proper nucleus (LTHA, TOF: 6771.54 ± 666.03; HC: 7435.36 ± 532.84, p < 0.001), and right thalamus proper nucleus (RTHA, TOF: 6514.61 ± 715.23; HC: 7162.94 ± 554.60, p < 0.001). Furthermore, a diminished integrity of LAM ( β:-19.828, 95% CI: -36.462, -3.193), which showed an inverse relationship with the size of the preoperative ventricular septal defect (VSD), correlated with lower working memory indices in children with TOF.ConclusionsOur findings indicate that subcortical nuclei structural injuries possibly potentially stemming from cardiac anatomical abnormalities, are associated with impaired working memory in preschool-aged children with TOF. The LAM in particular may serve as a potential biomarker for neurocognitive deficits in TOF, offering predictive value for future neurodevelopmental outcomes, and shedding light on the neurophysiological mechanisms of these cognitive impairments.

A lightweight parallel attention residual network for tile defect recognition

In modern industrial production, permanent magnet motors are an indispensable part of industrial manufacturing. The quality of the magnetic tiles directly affects the working performance of the permanent magnet motors, making the detection of defects on the surface of magnetic tiles critically important. However, due to the small size of defects on the tile image and the reflectivity of the defective surface, the details of image characteristics are not prominently acquired.These problems bring a lot of difficulties for the recognition of magnetic tile defects. In this paper, a magnetic tile defect detection method is proposed for the probAlems of unclear image features and small defects. First, the image is processed using linear variation to enhance the image detail features. Then, by introducing the inverted bottleneck block structure in MobileNetV2, the Attention Parallel Residual Convolution Block (APR) is proposed, and the Lightweight Parallel Attention Residual Network (LPAR-Net) is built. In APR Block, 7 × 7 convolution is introduced so that the model can extract spatial features from a larger range, and weighted fusion of input images by residual structure. In addition, in this paper, CBAM is improved, split into two parts and inserted into APR Block. Finally, the mainstream image classification models and the LPAR-Net proposed in this paper are used for comparison, respectively. The experimental results show that the method achieves 93.63% accuracy on the adopted dataset, which is better than the existing mainstream image classification network models DenseNet, MobileNet, ConvNext and so on. In addition, this paper introduces a strip steel surface defect dataset and compares it with the above image classification model, which verifies that the detection method proposed in this paper still has strong recognition capability.