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  • Open Access

    ARTICLE

    Credit Card Fraud Detection Using Variational Autoencoders

    Edward Danso Ansong1, David Adlai Nettey1,*, Sarika S2, Simon Bonsu Osei1

    Journal on Big Data, Vol.8, pp. 1-10, 2026, DOI:10.32604/jbd.2026.065126 - 12 June 2026

    Abstract Credit card fraud has emerged as a pervasive threat, impacting financial institutions and individuals as online banking and payment methods become increasingly integral to daily life. Despite efforts to mitigate this problem through measures like passwords and two-factor authentication, financial institutions continue to suffer substantial losses, often amounting to millions of dollars. Traditional machine learning solutions, developed and trained as supervised learning models, have failed to address this issue effectively. In anomaly detection, such as credit card fraud detection, the available training datasets are vast but inherently imbalanced, posing a formidable obstacle for supervised learning… More >

  • Open Access

    ARTICLE

    Urbanization-Driven Indirect Effects on Vegetation: Spatial Heterogeneity and Long- and Short-Run Dynamics in Nanjing

    Xiankai Ji1,2, Manchun Li1,2,*, Nan Xia1,2,3

    Revue Internationale de Géomatique, Vol.35, pp. 315-332, 2026, DOI:10.32604/rig.2026.084921 - 11 June 2026

    Abstract Against the backdrop of rapid global urbanization, revealing the indirect ecological effects triggered by urban environmental restructuring and human management interventions carries early-warning significance for preventing cliff-like vegetation degradation driven by unchecked urban expansion. Existing studies predominantly rely on linear assumptions and neglect the temporal lags inherent in ecological responses, making it difficult to capture the long-run and short-run dynamics as well as potential nonlinear thresholds of indirect impacts. Using Nanjing as the study region, this research constructs a spatiotemporal panel dataset at 1 km × 1 km resolution based on multi-source remote sensing data… More >

  • Open Access

    ARTICLE

    Terrain Controls on NDVI Spatial Variability under Post-Harvest Conditions: A UAV-Based Geomorphometric and Machine Learning Approach in Mediterranean Croplands

    Jesús Rodrigo-Comino1,*, María Teresa González-Moreno1, Lucía Moreno-Cuenca1, Laura Cambronero-Ruiz1, Clemente Irigaray2, Francisco Serrano Bernardo3, Víctor Hugo Durán Zuazo4, Jesús Fernández-Gálvez5, Andrés Caballero-Calvo5, Víctor Rodríguez-Galiano6

    Revue Internationale de Géomatique, Vol.35, pp. 333-349, 2026, DOI:10.32604/rig.2026.081503 - 11 June 2026

    Abstract Soil degradation in Mediterranean agricultural systems is strongly conditioned by topography, water redistribution and solar exposure, factors that can be effectively studied using very high-resolution remote sensing. This study evaluates the potential of Unmanned Aerial Vehicle (UAV)-derived geomorphometry combined with machine learning techniques to analyse the spatial variability of the Normalized Difference Vegetation Index (NDVI) as a surface spectral response under post-harvest conditions in a Mediterranean cereal field affected by soil degradation and gully erosion, located near Casabermeja (Málaga, southern Spain). High-resolution RGB and multispectral UAV data were used to generate a Digital Terrain Model… More >

  • Open Access

    ARTICLE

    Chinese Expert Consensus on the Prevention and Management of Thrombosis Associated with Central Venous Catheters in Children with Congenital Heart Disease

    Wenyi Luo1,#, Li Yuan1,#, Ruiling Feng2, Kai Pu3, Yali Huang4, Mingxiong Li3, Xiaomin Tang5, Huimei Wang6, Xuejing Wang7, Wentin Zhang8, Hong Zheng9, Xiuhong Li10, Dandong Luo11, Shanshan Shi5, Yaqin Shu3, Xu Wang12, Na Du13, Yujie Shen14, Yamin Song15, Huihua Wang16, Xia Xie17, Qian Zhang12, Qianqian Zhang18, Yuanyuan Zhang19, Yueyue Zhang1, Xiaojie Hu20, Zhimin Li21, Xiaolan Pan10, Youdong Pan22, Wenyuan Shang23, Hairui Sun24, Beini Wang25, Yanhua Wang26, Yanyan Wang27, Yongting Wang28, Guihong Yang29, Yan Zhou30, Zhimin Yang1, Xuanxuan Li1, Huiwen Chen1,§,*, Zhuoming Xu1,§,*

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.082239 - 11 June 2026

    Abstract Objective: To develop the Chinese expert consensus on the prevention and management of central venous catheter (CVC)-related thrombosis in children with congenital heart disease (CHD) (hereafter referred to as the Consensus), with the aim of standardizing and improving preventive and therapeutic strategies for CVC-related thrombosis in pediatric patients with CHD. Methods: The consensus was formulated in strict accordance with the principles of evidence-based medicine by a multidisciplinary panel of experts. Evidence was appraised and synthesized using the JBI Evidence Grading System. The initial draft was refined through two rounds of Delphi consultations involving 16 experts and… More >

  • Open Access

    ARTICLE

    Development and Implementation of a Patient Engagement Network for Advancing Research in Adult Congenital Heart Disease

    Naomi Kalume1,*, Shreya Papneja1, Jamie L. Jackson2, Richard Krasuski3, Anushree Agarwal4, Arwa Saidi5, David Harrison6,7, Matthew Lewis8, Anita Mathews1, Scott Leezer9, Ken Woodhouse10, Aliza Marlin10, Danielle M. Hile10, Ryan Joy O’Connor11, Ruth Phillippi1, Thomas Carton12, Anitha S. John1

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.081700 - 11 June 2026

    Abstract Background: Adults with congenital heart disease (ACHD) experience lifelong medical and psychosocial challenges, yet research in this population is limited by incomplete longitudinal data and insufficient incorporation of patient perspectives. Although patient engagement is increasingly recognized as important, structured and sustainable engagement models in ACHD research remain limited. Objectives: The paper aims to describe the development and operational structure of the Congenital Heart Initiative (CHI) Engagement Network and to report outcomes from two annual patient-powered research meetings used to identify and refine ACHD research priorities. Methods: The CHI Engagement Network was established as a multi-stakeholder research infrastructure… More >

  • Open Access

    ARTICLE

    Predicting Congenital Heart Disease Using Maternal Risk Factors: A Machine Learning Study from an Indian Tertiary Cardiac Care Centre

    Shruthi S*, D. Hanumanth Rao Naidu

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.079590 - 11 June 2026

    Abstract Background: Congenital Heart Disease (CHD) is an abnormality of the heart arising before birth. CHD diagnosis poses a critical challenge, particularly in resource-constrained settings where access to doctors and skilled radiologists is limited. The maternal risk factors contributing to CHD include modifiable and non-modifiable causes. Very few studies mention about these maternal risk factors for the Indian population to build predictive machine learning models for disease forecasting. The aim is to explore the feasibility of predicting CHD occurrence using maternal risk factor data and machine learning models in an Indian context. Methods: This research utilizes Indian-origin… More >

  • Open Access

    ARTICLE

    Dynamic Plasma Exosomal miRNA Profiling Uncovers Molecular Trajectories of Cardiac Repair following Cone Reconstruction for Ebstein’s Anomaly

    Jiaxiong Wu1,2,3,#, Runzhang Liang1,#, Naijimuding ABUDUREXITI4,#, Jing Ling2, Zirui Peng2, Jinxin Li1, Canxin Wang1, Yong Zhang1, Haiyun Yuan1,2,3,*, Shusheng Wen1,2,3,*

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.077455 - 11 June 2026

    Abstract Objective: Cone reconstruction (CR) is the preferred surgical treatment for Ebstein’s anomaly (EA). However, the molecular mechanisms underlying postoperative cardiac repair remain unclear. This study investigated the dynamic changes of plasma exosomal microRNAs (miRNAs) in EA patients before and after CR, exploring their association with postoperative cardiac function recovery and potential molecular mechanisms. Methods: Plasma samples were collected from 10 EA patients undergoing CR preoperatively, 1 day postoperatively, and 7 days postoperatively, along with samples from 10 healthy controls. Plasma exosomes were isolated using size-exclusion chromatography. Exosomal miRNAs were extracted and sequenced, followed by differential expression,… More >

  • Open Access

    ARTICLE

    Glucocorticoid Therapy for Severe Infection in Children with Congenital Heart Disease: Effects on Immune Regulation and Clinical Outcomes

    Jie Wu1,#, Guiwen Liang1,#, Ya Pan1,#, Talaibaike Maimaijuma2,3, Xianggui Xu2,3, Juying Lu1, Zhongwei Huang1,*, Lei Qi1,*, Haiyan Jiang1,*

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.077080 - 11 June 2026

    Abstract Background: Children with congenital heart disease (CHD) complicated by severe infection often present with immature immune function and poor prognosis. Evidence supporting the use of glucocorticoids in this population, particularly with dynamic immune monitoring, remains limited. Methods: A retrospective analysis was conducted on 183 CHD children with severe infections admitted to the Pediatric Intensive Care Unit (PICU) from 2019 to 2023. Patients were divided into two groups: the glucocorticoid intervention group (n = 92, methylprednisolone + standard treatment) and the control group (n = 91, standard treatment). Immune indicators (Interleukins-6 (IL-6), C-reactive protein (CRP), procalcitonin (PCT), CD4+/CD8+ ratio… More >

  • Open Access

    ARTICLE

    Anatomical Ventricular Type Determines 30-Year Outcomes in Fontan Patients: Insights from National Korean Registry

    Jae Suk Baek1, Soo-Jin Kim2,*, Sang-Yun Lee3, Chang-Ha Lee4, Chun Soo Park5, Eun Seok Choi5, Hoon Ko6, Hyo Soon An3, I. Seok Kang7, Ja Kyoung Yoon7, Jae-Young Lee8, Jinyoung Song7, Joo Won Lee9, June Huh7, Kyung-Jin Ahn10, Se-Yong Jung11, Seul Gi Cha1, Yeo-Hyang Kim12, Young-Seok Lee13, Sang-Hoon Cho14

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.077034 - 11 June 2026

    Abstract Background: Systemic right ventricular morphology is associated with poor Fontan outcomes, but its independent effect remains uncertain due to confounding by atrioventricular valve regurgitation (AVVR). The prognostic role of two adequately sized ventricles is also unclear. This study aimed to evaluate the independent impact of ventricular morphology on long-term Fontan outcomes after adjustment for AVVR, using a large national registry. Methods: A total of 1631 Fontan survivors were analyzed. Death or heart transplantation and Fontan failure were primarily evaluated using inverse probability of treatment weighting. Fontan failure was defined as death, heart transplantation, Fontan takedown… More > Graphic Abstract

    Anatomical Ventricular Type Determines 30-Year Outcomes in Fontan Patients: Insights from National Korean Registry

  • Open Access

    CASE REPORT

    Anesthesia-Induced Atrioventricular Block Predicted by Exercise Stress Test: A Case Report

    Shotaro Nozaki, Hiroyuki Oikawa, Naofumi F. Sumitomo*, Kentaro Tomita, Satoshi Narumi

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.076771 - 11 June 2026

    Abstract Background: Many anesthetics suppress atrioventricular conduction and may exacerbate atrioventricular block (AVB), which has led to the establishment of pediatric perioperative guidelines. However, the perioperative management of patients with a history of AVB who have recovered to an apparent sinus rhythm remains unclear. Case presentation: We report the case of a 13-year-old girl who developed complete AVB following surgery for congenital heart disease in infancy and subsequently recovered sinus rhythm. She experienced a recurrence of AVB after anesthesia induction for scoliosis surgery. An implantable pacemaker was inserted in infancy after the onset of complete AVB.… More >

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