Complex Defects Research Articles

Predicting Software Defects in Hybrid MPI and OpenMP Parallel Programs Using Machine Learning

High-performance computing (HPC) and its supercomputers are essential for solving the most difficult issues in many scientific computing domains. The proliferation of computational resources utilized by HPC systems has resulted in an increase in the associated error rates. As such, modern HPC systems promote a hybrid programming style that integrates the message-passing interface (MPI) and open multi-processing (OpenMP). However, this integration often leads to complex defects, such as deadlocks and race conditions, that are challenging to detect and resolve. This paper presents a novel approach: using machine learning algorithms to predict defects in C++-based systems by employing hybrid MPI and OpenMP models. We focus on employing a balanced dataset to enhance prediction accuracy and reliability. Our study highlights the effectiveness of the support vector machine (SVM) classifier, enhanced with term frequency (TF) and recursive feature elimination (RFE) techniques, which demonstrates superior accuracy and performance in defect prediction when compared to other classifiers. This research contributes significantly to the field by providing a robust method for early defect detection in hybrid programming environments, thereby reducing development time, costs and improving the overall reliability of HPC systems.

Comparison of open anterior component and open transversus abdominus release in repair of large subcostal hernias.

Large subcostal incisional hernias are considered as complex defects, and a few different approaches have been described for repair. The purpose of this comparative cross-sectional study is to evaluate the outcomes of patients with large subcostal incisional hernias treated with either the open anterior components separation technique (ACS) or with the open transversus abdominis release technique (TAR). From the database of patients with large complex incisional hernias who underwent abdominal wall reconstruction with open techniques between April 2007 and October 2022 at our institution, on May 25th, 2023 we identified those whose hernias were located in the subcostal areas and who underwent reconstruction with a components separation technique and mesh. Perioperative variables and outcomes were compared between the patients with large subcostal hernias who underwent abdominal wall reconstruction with either the ACS or the TAR techniques. Thirty-one patients with large subcostal hernias were included in the study. ACS and intra-abdominal mesh was used in 11 patients; TAR and retro-muscular mesh was performed in 20 patients. More postoperative local abdominal wall complications were seen in patients who had ACS as opposed to TAR (55% vs 15%, p = 0.02). Hernia recurrence was more common in patients who had ACS as opposed to TAR (55% vs 5%, p = 0.008). More post-operative complications and recurrences were seen in patients who had ACS as opposed to TAR.

Malignant Chest Wall Tumors: Complex Defects and Their Management-A Review of 181 Cases.

Chest wall tumors are a heterogeneous group of tumors that are managed by surgeons from diverse specialties. Due to their rarity, there is no consensus on their diagnosis and management. This retrospective, descriptive analysis includes patients with malignant chest wall tumors undergoing chest wall resection. Tumors were classified as primary, secondary, and metastatic tumors. The analysis includes clinicopathological characteristics, resection-reconstruction profile, and relapse patterns. A total of 181 patients underwent chest wall resection between 1999 and 2020. In primary tumors (69%), the majority were soft tissue tumors (59%). In secondary tumors, the majority were from the breast (45%) and lung (42%). Twenty-five percent of patients received neoadjuvant chemotherapy, and 98% of patients underwent R0 resection. Soft tissue, skeletal + soft tissue, and extended resections were performed in 45%, 70%, and 28% of patients, respectively. The majority of patients (60%) underwent rib resections, and a median of 3.5 ribs were resected. The mean defect size was 24 cm2. Soft tissue reconstruction was performed in 40% of patients, mostly with latissimus dorsi flaps. Rigid reconstruction was performed in 57% of patients, and 18% underwent mesh-bone cement sandwich technique reconstruction. Adjuvant radiotherapy and chemotherapy were given to 29% and 39% of patients, respectively. This is one of the largest single-institutional experiences on malignant chest wall tumors. The results highlight varied tumor spectra and multimodality approaches for optimal functional and survival outcomes. In limited resource setting, surgery, including reconstructive expertise, is very crucial.

Intelligent Online Sensing of Defects Evolution in Metallic Materials during Plastic Deformation

Metallic plastic deformation involves complex microstructural changes and defect evolution, posing challenges in predicting and controlling the quality and performance of formed parts. Therefore, a pressing demand exists for a proficient online defect‐sensing system to monitor defects evolution continuously within components during plastic deformation in real time. This article proposes an intelligent online sensing approach for detecting defects in metallic plastic forming based on acoustic emission (AE) and machine learning. A comparative analysis is conducted on AE amplitude signals, stress–strain curves, and defect evolution during the tensile process of TA15 titanium alloy specimens under different stress states. It is found that the defect formation process can be divided into four stages based on the AE amplitude signals. A convolutional neural network model for intelligent defect sensing is established. It leverages transfer learning and is grounded in the relationship between AE signals and the evolution of internal defects. The prediction accuracy using different pretrained models is investigated and compared. It is discerned that utilizing GoogleNet as the pretrained model offers the swiftest training pace with a prediction accuracy of 97.57%. This approach enables intelligent online sensing of internal defect evolution in metal plastic deformation processes.

Congenital Heart Disease In Preterm Infants

Background: Congenital heart defects and preterm birth are two important causes of neonatal and infant mortality. However, the relationship between them has not yet been fully clarified. Objective: To find the association of congenital heart disease with premature delivery. Patients and Methods: The study is an observational cross sectional study, done in Al-Batool teaching hospital for maternity and children from July 2022 to January 2023. A self-prepared questionnaire was used to gather data. Gestational age was calculated mainly on postnatal gestational assessment by Dubowitz/Ballard method by a pediatrician. Echocardiography was done by Echocardiography specialist doctor to identify the presence and types of congenital heart defects. SPSS version 25 was used for statistical analysis. Results: Total number of births (term and preterm) was 1616, congenital heart diseases were detected in 60(3.71%) of them, most of them were isolated heart defect. In preterm babies, the congenital heart diseases were detected in 8% (p value was <0.001), they were of different types as followings: patent ductus arteriosus (n=10,26%), atrial septal defect (n=8,21%), ventricular septal defect (n=7,18%), transposition of the great arteries (n=4,10%), tetralogy of Fallot (n=2,5%), and complex of congenital heart disease (n=7,18%), while in full term babies, the rate of congenital heart diseases was only 1.9%. Conclusion: The incidence of congenital heart disease was higher in preterm than full term delivered babies, mostly in the group of transposition of the great arteries, ventricular septal defect, complex heart defects, followed by atrial septal defect. Keywords: Preterm, delivery, congenital heart disease.

Congenital Heart Disease In Preterm Infants

Background: Congenital heart defects and preterm birth are two important causes of neonatal and infant mortality. However, the relationship between them has not yet been fully clarified.
 Objective: To find the association of congenital heart disease with premature delivery.
 Patients and Methods: The study is an observational cross sectional study, done in Al-Batool teaching hospital for maternity and children from July 2022 to January 2023. A self-prepared questionnaire was used to gather data. Gestational age was calculated mainly on postnatal gestational assessment by Dubowitz/Ballard method by a pediatrician. Echocardiography was done by Echocardiography specialist doctor to identify the presence and types of congenital heart defects. SPSS version 25 was used for statistical analysis.
 Results: Total number of births (term and preterm) was 1616, congenital heart diseases were detected in 60(3.71%) of them, most of them were isolated heart defect. In preterm babies, the congenital heart diseases were detected in 8% (p value was <0.001), they were of different types as followings: patent ductus arteriosus (n=10,26%), atrial septal defect (n=8,21%), ventricular septal defect (n=7,18%), transposition of the great arteries (n=4,10%), tetralogy of Fallot (n=2,5%), and complex of congenital heart disease (n=7,18%), while in full term babies, the rate of congenital heart diseases was only 1.9%.
 Conclusion: The incidence of congenital heart disease was higher in preterm than full term delivered babies, mostly in the group of transposition of the great arteries, ventricular septal defect, complex heart defects, followed by atrial septal defect.

Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficiencies

BackgroundPrimary immunodeficiency (PI) is a group of heterogeneous disorders resulting from immune system defects. Over 70% of PI is undiagnosed, leading to increased mortality, co-morbidity and healthcare costs. Among PI disorders, combined immunodeficiencies (CID) are characterized by complex immune defects. Common variable immunodeficiency (CVID) is among the most common types of PI. In light of available treatments, it is critical to identify adult patients at risk for CID and CVID, before the development of serious morbidity and mortality.MethodsWe developed a deep learning-based method (named “TabMLPNet”) to analyze clinical history from nationally representative medical claims from electronic health records (Optum® data, covering all US), evaluated in the setting of identifying CID/CVID in adults. Further, we revealed the most important CID/CVID-associated antecedent phenotype combinations. Four large cohorts were generated: a total of 47,660 PI cases and (1:1 matched) controls.ResultsThe sensitivity/specificity of TabMLPNet modeling ranges from 0.82-0.88/0.82-0.85 across cohorts. Distinctive combinations of antecedent phenotypes associated with CID/CVID are identified, consisting of respiratory infections/conditions, genetic anomalies, cardiac defects, autoimmune diseases, blood disorders and malignancies, which can possibly be useful to systematize the identification of CID and CVID.ConclusionsWe demonstrated an accurate method in terms of CID and CVID detection evaluated on large-scale medical claims data. Our predictive scheme can potentially lead to the development of new clinical insights and expanded guidelines for identification of adult patients at risk for CID and CVID as well as be used to improve patient outcomes on population level.

High-Precision Corrosion Detection via SH1 Guided Wave Based on Full Waveform Inversion.

Corrosion detection for industrial settings is crucial for safe and efficient operations. Due to its high imaging resolution, the guided-wave full-waveform inversion tomography technique has significant potential for corrosion detection of plate metals. Limited by the long wavelengths of A0 and S0 mode waves, this method exhibits inadequate detection resolution for the earlier shallow and small corrosion defects. Based on the relatively short wavelength characteristics of the SH1 mode wave, we propose a high-precision corrosion detection method via SH1 guided wave using the full waveform inversion algorithms. By conducting finite element simulations of ultrasonic-guided waves on aluminum plates with varying corrosion defects, a comparison was made to assess the detection precision across A0, S0, and SH1 modes. The comparison results showed that, whether for regular or irregular defects, the SH1 mode wave always exhibited higher imaging accuracy than the A0 and S0 mode waves for shallow and small-sized defects. The corresponding experiments were conducted on an aluminum plate with simple or complex defects. The results of the experiments reconfirmed that the full waveform inversion method using SH1 guided wave can effectively reconstruct the shape and size of small and shallow corrosion defects within aluminum plates.

Delayed reconstructive plastic surgery in patients with tumors of the maxillofacial region: literature review

Introduction. The main treatment option for malignant neoplasms of the head and neck is combined. However, survival rates are still relatively unchanged. The surgical stage of treatment leads to extensive defects that are eliminated through reconstructive technologies. Despite the priority of performing reconstruction at the same time, delayed reconstructions are still being discussed 6–12 months after surgical treatment; therefore, it is necessary to develop new methodological and practical approaches.Aim. To determine the features of the delayed reconstructive-plastic stage in patients with malignant tumors maxillofacial region, evaluation of possible solutions for optimizing the stage.Material and methods. The analysis of available literature sources was taken in the database Medline, Pubmed, eLibrary, etc. The 101 studies were found, 60 were used to write a systematic review.Results. Delayed reconstructive plastic surgery should take into the possibility more complex and larger defects of soft and bone tissues during the reconstructive stage, previous surgery and/or radiation therapy create significant difficulties for the identification of recipient vessels. Computer-aided design (CAD)/computer-aided manufacturing (CAM) technologies allow projecting the design and positioning of reconstructive material at the preoperative stage. Mandibular reconstruction is the most difficult, that isn’t achieve only an aesthetic result, but also to restore the biomechanics of the temporomandibular joint. The development of specific complications hinders the improvement of the patient’s quality of life. In the early postoperative period is may develop necrosis of the flap, thrombosis of vascular pedicle, hematoma; in the late postoperative period plate extrusion is still one of the common complications, planning delayed reconstruction an important aspect is prevention or treatment of osteoradionecrosis. The combination of precarbohydrate loading and dalargin will allow to reduce the frequency of perioperative complications and improve the long-term results of surgical treatment.Conclusion. Reconstructive treatment in patients with defects requiring postponed reconstructive surgeries is a complex problem which requires development of an integrated approach with detailed analysis of the existing defect and previous antitumor therapy.

Vascularized versus Free Nerve Grafts: An Experimental Study on Rats.

Vascularized nerve grafts (VNGs) have been proposed as a superior alternative to free nerve grafts (FNGs) for complex nerve defects. A greater regenerative potential has been suggested by clinical and experimental studies, but conclusive evidence is still lacking. In this experimental study, 10 adult male Wistar rats received a non-vascularized orthotopic sciatic nerve graft on their right side, and a vascularized orthotopic sciatic nerve graft nerve on their left side. Functional outcome following nerve regeneration was evaluated through electrodiagnostic studies, target muscles weight and histomorphology, and data of VNGs and FNGs were compared. The results of this study showed a significant difference in the motor unit number of Gastrocnemius Medialis (GM) estimated by MUNE in the VNG side compared to the FNG side. No other significant differences in axonal regeneration and muscle reinnervation were evident at either electrodiagnostic, histomorphology studies or muscle weight. This experimental model showed slight differences in nerve regeneration between VNGs and FNGs, but cannot support a high clinical advantage for VNGs. The results of this study show that VNGs are not strongly superior to FNGs in the rat model, even in avascular beds. Clinical advantages of VNGs are likely to be limited to extensive and thick nerve defects and can only be assessed on experimental model with bigger animals. Also, we showed that the MUNE technique provided a reliable and reproducible evaluation of functional outcomes in the rat sciatic nerve and defined a reproducible protocol for functional evaluation of muscle reinnervation.

Significant enhancement of electrical conductivity in boron-doped diamond through HPHT post-annealing treatment

Boron-doped diamond (BDD) is expected as a promising semiconductor candidate for potential application in next-generation high-power and high-voltage electronics. Unfortunately, a feasible strategy that focuses on the improvement of the semiconducting performance of BDD materials is still lacking and remains a fundamental challenge in material science. Thus, we aim to study the stability and adjustment behaviors of boron dopants in BDD single crystals through post-annealing treatment under high pressure and high temperature (HPHT) conditions. In this work, our study demonstrates that boron dopants show high structural stability, and no extra complex defects were observed during the HPHT annealing process, a superior advantage for the device application in extreme environments. Our work further reveals that the HPHT post-annealing process is effective to eliminate the intrinsic stress and local lattice strain that were inherently formed during the diamond growth process. This process is accompanied by the enhancement of ionization ratio of boron dopants. The carrier content of one 〈111〉-GS BDD increases by more than ten times after post-annealing at 1000 °C and 5.5 GPa, resulting in significant improvement of conductivity by a factor of 2. This result provides an effective strategy to improve the semiconducting performance of BDD materials through HPHT annealing approach and promote their practical device applications.

Revealing complex planar defects and their interactions at atomic resolution in a Laves phase containing Co-base superalloy

In this study, extensive formation of different planar faults and substantial fault intersections were found and examined at atomic resolution in the cubic ZrCo2 based Laves phase formed in a Co-9Al-9W-2Zr alloy after annealing at 900 ºC. By analysis, it is confirmed that synchro-shear is the mechanism to form twins, extrinsic stacking faults and intrinsic stacking faults in the cubic Laves phase with three equivalent Burgers vectors 1/6<112> Shockley partials available for synchro-shear. But atomic shuffling in the dislocation core region is also required to fit the atomic arrangement in perfect and faulted lattices. Novel types of planar faults featured by a missing single Co-atom layer and a constant gap width are for the first time observed. The missing single layer is believed to be induced by the vacancy segregation on planes, especially on {111} twinning planes. The atoms below the gap shuffle into their new positions with different shuffling vectors to form different types of planar faults. Most intersections in the heat-treated specimen are quite gentle. Only occasionally, incident planar faults pass the barrier planar faults, and W is enriched in the intersection regions. In cases of more complex intersections, synchro-shear and atomic shuffling occur in extrinsic and intrinsic stacking faults as well as in twins, and vacancy diffusion and atom shuffling occur in the novel types of planar faults to form the observed intersection configurations. The extensive formation of planar faults might significantly alter the mechanical behavior and also influence functional properties of Laves phase containing materials.

DEFECTCNN: Improved Discriminative Convolution Neural Network Towards Instantaneous Automatic Detection and Classification of Complex Defect in Fabrics

DEFECTCNN: Improved Discriminative Convolution Neural Network Towards Instantaneous Automatic Detection and Classification of Complex Defect in Fabrics

Metal surface defect detection based on improved YOLOv5

During the production of metal material, various complex defects may come into being on the surface, together with large amount of background texture information, causing false or missing detection in the process of small defect detection. To resolve those problems, this paper introduces a new model which combines the advantages of CSPlayer module and Global Attention Enhancement Mechanism based on the YOLOv5s model. First of all, we replace C3 module with CSPlayer module to augment the neural network model, so as to improve its flexibility and adaptability. Then, we introduce the Global Attention Mechanism (GAM) and build the generalized additive model. In the meanwhile, the attention weights of all dimensions are weighted and averaged as output to promote the detection speed and accuracy. The results of the experiment in which the GC10-DET augmented dataset is involved, show that the improved algorithm model performs better than YOLOv5s in precision, mAP@0.5 and mAP@0.5: 0.95 by 5.3%, 1.4% and 1.7% respectively, and it also has a higher reasoning speed.

An improved magnetic dipole model for MFL testing based on non-uniform magnetic charge distribution

ABSTRACT Magnetic flux leakage (MFL) signal prediction is important in ferromagnetic defect evaluation and reconstruction. At present, the magnetic dipole model (MDM) is the most widely applied method because of its high efficiency. However, it has low accuracy when applied to analysing complex defects (complex in profile and magnetic permeability) due to the original setting of uniform magnetic charge distribution. To solve the issue, this paper proposes an improved MDM method for MFL inspection of ferromagnetic materials by calculating the non-uniform magnetic charge distribution. It partly applies the finite volume method (FVM) to derive the magnetic charge distribution on the defect surface, which makes it able to take into account the defect’s profile and magnetic permeability distribution. The new magnetic charge distribution can increase the MDM’s accuracy for complex defect MFL field prediction with little extra cost. Experimental results show that, when compared with traditional MDM, the proposed one can achieve a maximum 69% decrease in root mean squared error when analysing complex defects. Compared with the numerical method, the computation time could reach a great reduction.

Research on ultrasonic defect imaging based on a neural network with Gaussian weight function fusion model

Ultrasonic testing is widely used in the industrial field because of its high sensitivity, safety and low-cost, which plays an increasingly important role in detecting defects on industrial. However, at present, defect detection only stays in scanning surface defects and classifying the internal defects of the specimen. The accuracy of quantitative imaging of the morphology of the internal defects of the specimen is still an issue to be improved. In this paper, the simple defects in several specimens are detected by ultrasound based on finite element simulation software and the accuracy of the signal can be verified by ultrasonic experiment. Then, the features can be extracted by signal processing method. The neural network imagines the inversion results with the Gaussian weight function fusion model. Finally, this paper uses the signals of simple shape defects as the training set to detect the shapes of complex defects and obtain the corresponding imaging results.

Features of the clinical course of neurodegenerative brain disease caused by mutations in the neurophacitis and succinate dehydrogenase gene: clinical case

Neurodegenerative diseases of the brain pose a serious challenge in diagnosis and treatment. Of particular interest are diseases caused by complex mutations, the clinical picture of which is ambiguous. The article presents a description of a clinical case of a neurodegenerative disease of the brain with symmetrical damage to the cerebellar hemispheres in the projection of the dentate nuclei, in the region of the superior and middle cerebellar peduncles, in the region of the midbrain tegmentum, along the corticospinal tracts, in the subcortical sections of the frontoparietal regions of the brain. It has been shown that these clinical manifestations are caused by the formation of small foci of demyelination in the white matter of the brain. The cause of the disease was revealed to be a deficiency of mitochondrial complex II, nuclear type 4, which is caused by mutations in the NFASC (encoding neurofascin) and SDHB (encoding succinate dehydrogenase) genes. The leading clinical manifestations in this case were motor disorders in the form of persistent bilateral ptosis, external ophthalmoplegia, optic disc atrophy, retinal pigmentary degeneration, subcortical dysarthria, sensorineural hearing loss, and cognitive impairment. However, the clinical picture of this disease developed latently for a long time, which made its diagnosis difficult. The reason for this was a complex genetic defect including mutations in the neurofasciitis and succinate dehydrogenase gene. The paper provides a discussion of currently known effective methods of treating the disease.

An image fusion-based method for recovering the 3D shape of roll surface defects

Most of the existing studies on roll surface defects focus on qualitative detection and lack quantitative analysis, while the commonly used methods for detecting the three-dimensional shape of small objects such as defects are the stylus method, laser scanning method, and structured light scanning method, but these methods are difficult to accurately measure the complex defect variations on the roll surface. In this paper, we propose a method for recovering the 3D shape of roll surface defects based on image fusion. The traditional 3D reconstruction problem is transformed into a 2D image fusion problem using a focusing method. The non-subsampled shear wave transform is used as the base algorithm for image fusion, combined with an enhanced fusion strategy called modified multi-state pulse-coupled neural network to obtain a fully focused image. The method achieves 3D shape recovery of defects by modeling the relationship between the defect depth, the fully focused image, and the original image. To evaluate the performance of the method, experiments were carried out using data involving craters and scratches on the roll surface. This method significantly improves the quality of defect detection images, with a 98% better gradient and a 28% increase in overall image quality. Additionally, it keeps 3D reconstruction errors under 4%, ensuring high accuracy and noise resistance.

An in vitro characterization of a PCL-fibrin scaffold for myocardial repair

Each year in the United States approximately 10,000 babies are born with a complex congenital heart defect (CHD) requiring surgery in the first year of after birth. Several of these operations require the implantation of a full-thickness heart patch; however, the current patch materials available to pediatric heart surgeons are exclusively non-living and non-degradable, which do not grow with the patient and are prone to fail due to an inability to integrate with the heart. In this work, the goal was to develop a full-thickness, tissue engineered myocardial patch (TEMP) that is made from biodegradable components, strong enough to withstand the mechanical forces of the heart wall, and able to integrate with the heart and drive neotissue formation. Here, a thick and porous electrospun PCL scaffold filled with high-salt PEGylated fibrin was developed. The scaffold was found to be mechanically sufficient for heart wall repair. Vascular cells were able to infiltrate more than halfway through the scaffold in static culture within three weeks. The scaffold maintained pluripotent stem cells for at least four days, supports viable iPSC-derived cardiomyocytes, and fostered tissue thickening in vitro. The TEMP developed here and tested in vitro is promising for the repair of structural CHD and will next be assessed in situ.

3D-bioprinted anisotropic bicellular living hydrogels boost osteochondral regeneration via reconstruction of cartilage–bone interface

Reconstruction of osteochondral (OC) defects represents an immense challenge due to the need for synchronous regeneration of special stratified tissues. The revolutionary innovation of bioprinting provides a robust method for precise fabrication of tissue-engineered OCs with hierarchical structure; however, their spatial living cues for simultaneous fulfilment of osteogenesis and chondrogenesis to reconstruct the cartilage-bone interface of OC are underappreciated. Here, inspired by natural OC bilayer features, anisotropic bicellular living hydrogels (ABLHs) simultaneously embedding articular cartilage progenitor cells (ACPCs) and bone mesenchymal stem cells (BMSCs) in stratified layers were precisely fabricated via two-channel extrusion bioprinting. The optimum formulation of the 7% GelMA/3% AlgMA hydrogel bioink was demonstrated, with excellent printability at room temperature and maintained high cell viability. Moreover, the chondrogenic ability of ACPCs and the osteogenic ability of BMSCs were demonstrated invitro, confirming the inherent differential spatial regulation of ABLHs. In addition, ABLHs exhibited satisfactory synchronous regeneration of cartilage and subchondral bone invivo. Compared with homogeneous hydrogels, the neo-cartilage and neo-bone in ABLHs were augmented by 23.5% and 20.8%, respectively, and more important, a more harmonious cartilage-bone interface was achieved by ABLHs due to their well-tuned cartilage-bone-vessel crosstalk. We anticipate that such a strategy of tissue-mimetic ABLH by means of bioprinting is capable of spatiotemporal cell-driven regeneration, offering insights into the fabrication of anisotropic living materials for the reconstruction of complex organ defects.