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  • Open Access

    ARTICLE

    Standardized Management of Acute Pulmonary Hemorrhage after Percutaneous Pulmonary Vein Intervention

    Catalina Vargas-Acevedo1, Gareth J. Morgan1, Rhynn Soderstrom2, Richard Ing3, Nicholas Houska3, Jenny E. Zablah1,*

    Congenital Heart Disease, Vol.19, No.4, pp. 389-397, 2024, DOI:10.32604/chd.2024.055121 - 31 October 2024

    Abstract Introduction: Pulmonary hemorrhage (PHm) is a life-threatening complication that can occur after catheter-based interventions in patients with pulmonary vein stenosis (PVS). Inhaled racemic epinephrine (iRE) and tranexamic acid (iTXA) have been used in other conditions, but a standardized approach in PVS has not been described. We aimed to describe the current management of PHm after PVS catheter-based interventions. Methods: We present a retrospective review of episodes of PHm from July 2022 to February 2024. PHm was defined as frank blood suctioned from the endotracheal tube including blood-tinged secretions and >3% decrease in saturations and/or ventilatory… More >

  • Open Access

    REVIEW

    The Potential of Circular RNAs as Biomarkers in Pulmonary Arterial Hypertension Related to Congenital Heart Disease

    Fajri Marindra Siregar1,2, Sofia Mubarika Haryana3, Dyah Wulan Anggrahini4, Lucia Kris Dinarti4, Anggoro Budi Hartopo4,*

    Congenital Heart Disease, Vol.19, No.4, pp. 375-388, 2024, DOI:10.32604/chd.2024.054742 - 31 October 2024

    Abstract A particular type of endogenous noncoding RNAs known as circular RNAs (circRNAs) has now become possible biomarkers for several diseases because of their stability and tissue-specific expression patterns. CircRNAs might play a role in various of biological processes. The identification of particular circRNAs dysregulated in pulmonary arterial hypertension (PAH) raises the possibility of these molecules serving as biomarkers for the disease’s early diagnosis and treatment. This review mainly summarizes the role and potential of circRNA as a future biomarker in PAH related to congenital heart disease. This study presented several potential circRNA targets as diagnostic More > Graphic Abstract

    The Potential of Circular RNAs as Biomarkers in Pulmonary Arterial Hypertension Related to Congenital Heart Disease

  • Open Access

    REVIEW

    The Effects of Laser Therapy in Treating Hypertrophic Scars and Keloids after Median Sternotomy: A Scoping Review

    Laura Schianchi1,*, Fabrizio Vaira2, Massimo Chessa1,3, Serena Francesca Flocco4, Arianna Magon4, Gianluca Conte4, Karina Geraldina Zuniga Olaya5, Giacomo Bortolussi6, Erika Cioffi1, Matteo Riccardo Di Nicola2, Santo Raffaele Mercuri2, Rosario Caruso4,7

    Congenital Heart Disease, Vol.19, No.4, pp. 363-374, 2024, DOI:10.32604/chd.2024.053999 - 31 October 2024

    Abstract Background: Hypertrophic scars and keloids, common complications following median sternotomy for cardiac surgery, significantly impact patient quality of life due to their aesthetic and symptomatic burden. Recent advancements in laser therapy have made it a prominent option for managing these complex scars, yet a comprehensive understanding of its efficacy is lacking. The aim of this scoping review is to explore the effects of laser therapy in managing hypertrophic scars and keloids after median sternotomy. Methods: This scoping review analyzed studies up to February 2024 from databases including PubMed, EMBASE, CINAHL, Scopus, Web of Science, and… More >

  • Open Access

    ARTICLE

    Prospective Cohort Research of Aortic Root Dilatation after Surgical Repair in Adults with Tetralogy of Fallot (TRANSIT)

    Hiroki Nagamine1, Masaru Miura1,*, Jun Maeda1, Takumi Nishiki1, Maasa Sato2, Fumie Takechi3, Shigeru Tateno4, Tomoko Ishizu5, Yumi Shiina6, Ken Kato7, Hiroshi Ono8, Hiroyuki Yamagishi9, Koichiro Niwa6

    Congenital Heart Disease, Vol.19, No.4, pp. 351-362, 2024, DOI:10.32604/chd.2024.051837 - 31 October 2024

    Abstract Background: Aortic root dilatation occurs in adults with tetralogy of Fallot (TOF) after surgical repair, but the longitudinal changes are unclear. The main research aim is to determine the annual dilatation rate of aorta in adults with repaired TOF. Methods: The present, multicentric, prospective cohort study assessed the rate of aortic diameter change in adults aged 20 years or older with TOF, including pulmonary artery atresia, who underwent surgical repair. Clinical data, focusing on echocardiograms, were collected at three-year intervals from seven hospitals. Results: In total, 104 patients (58 males; median age: 29 years) were enrolled.… More > Graphic Abstract

    Prospective Cohort Research of Aortic Root Dilatation after Surgical Repair in Adults with Tetralogy of Fallot (TRANSIT)

  • Open Access

    CORRECTION

    Correction: Noise-Filtering Enhanced Deep Cognitive Diagnosis Model for Latent Skill Discovering

    Jing Geng1,*, Huali Yang2, Shengze Hu3

    Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 985-986, 2024, DOI:10.32604/iasc.2024.059591 - 31 October 2024

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Distributed Federated Split Learning Based Intrusion Detection System

    Rasha Almarshdi1,2,*, Etimad Fadel1, Nahed Alowidi1, Laila Nassef1

    Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 949-983, 2024, DOI:10.32604/iasc.2024.056792 - 31 October 2024

    Abstract The Internet of Medical Things (IoMT) is one of the critical emerging applications of the Internet of Things (IoT). The huge increases in data generation and transmission across distributed networks make security one of the most important challenges facing IoMT networks. Distributed Denial of Service (DDoS) attacks impact the availability of services of legitimate users. Intrusion Detection Systems (IDSs) that are based on Centralized Learning (CL) suffer from high training time and communication overhead. IDS that are based on distributed learning, such as Federated Learning (FL) or Split Learning (SL), are recently used for intrusion… More >

  • Open Access

    ARTICLE

    Predicting Grain Orientations of 316 Stainless Steel Using Convolutional Neural Networks

    Dhia K. Suker, Ahmed R. Abdo*, Khalid Abdulkhaliq M. Alharbi

    Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 929-947, 2024, DOI:10.32604/iasc.2024.056341 - 31 October 2024

    Abstract This paper presents a deep learning Convolutional Neural Network (CNN) for predicting grain orientations from electron backscatter diffraction (EBSD) patterns. The proposed model consists of multiple neural network layers and has been trained on a dataset of EBSD patterns obtained from stainless steel 316 (SS316). Grain orientation changes when considering the effects of temperature and strain rate on material deformation. The deep learning CNN predicts material orientation using the EBSD method to address this challenge. The accuracy of this approach is evaluated by comparing the predicted crystal orientation with the actual orientation under different conditions, More >

  • Open Access

    ARTICLE

    Arabic Dialect Identification in Social Media: A Comparative Study of Deep Learning and Transformer Approaches

    Enas Yahya Alqulaity1, Wael M.S. Yafooz1,*, Abdullah Alourani2, Ayman Jaradat3

    Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 907-928, 2024, DOI:10.32604/iasc.2024.055470 - 31 October 2024

    Abstract Arabic dialect identification is essential in Natural Language Processing (NLP) and forms a critical component of applications such as machine translation, sentiment analysis, and cross-language text generation. The difficulties in differentiating between Arabic dialects have garnered more attention in the last 10 years, particularly in social media. These difficulties result from the overlapping vocabulary of the dialects, the fluidity of online language use, and the difficulties in telling apart dialects that are closely related. Managing dialects with limited resources and adjusting to the ever-changing linguistic trends on social media platforms present additional challenges. A strong… More >

  • Open Access

    ARTICLE

    Recognition of Bird Species of Yunnan Based on Improved ResNet18

    Wei Yang1,2,*, Ivy Kim D. Machica1

    Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 889-905, 2024, DOI:10.32604/iasc.2024.055133 - 31 October 2024

    Abstract Birds play a crucial role in maintaining ecological balance, making bird recognition technology a hot research topic. Traditional recognition methods have not achieved high accuracy in bird identification. This paper proposes an improved ResNet18 model to enhance the recognition rate of local bird species in Yunnan. First, a dataset containing five species of local birds in Yunnan was established: C. amherstiae, T. caboti, Syrmaticus humiae, Polyplectron bicalcaratum, and Pucrasia macrolopha. The improved ResNet18 model was then used to identify these species. This method replaces traditional convolution with depth wise separable convolution and introduces an SE (Squeeze and Excitation) module to More >

  • Open Access

    ARTICLE

    Robot Vision over CosGANs to Enhance Performance with Source-Free Domain Adaptation Using Advanced Loss Function

    Laviza Falak Naz1, Rohail Qamar2,*, Raheela Asif1, Muhammad Imran2, Saad Ahmed3

    Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 855-887, 2024, DOI:10.32604/iasc.2024.055074 - 31 October 2024

    Abstract Domain shift is when the data used in training does not match the ones it will be applied to later on under similar conditions. Domain shift will reduce accuracy in results. To prevent this, domain adaptation is done, which adapts the pre-trained model to the target domain. In real scenarios, the availability of labels for target data is rare thus resulting in unsupervised domain adaptation. Herein, we propose an innovative approach where source-free domain adaptation models and Generative Adversarial Networks (GANs) are integrated to improve the performance of computer vision or robotic vision-based systems in… More >

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