Edward Danso Ansong¹, David Adlai Nettey^1,*, 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 >

Xiankai Ji^1,2, Manchun Li^1,2,*, Nan Xia^1,2,3

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 >

Jesús Rodrigo-Comino^1,*, 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 >

Wenyi Luo^1,#, Li Yuan^1,#, 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 Chen^1,§,*, Zhuoming Xu^1,§,*

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 >

Naomi Kalume^1,*, Shreya Papneja¹, Jamie L. Jackson², Richard Krasuski³, Anushree Agarwal⁴, Arwa Saidi⁵, David Harrison^6,7, 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 >

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 >

Edward Araujo Júnior^1,2,*, Luciane Alves da Rocha Amorim³, Nathalie Jeanne Magioli Bravo-Valenzuela^4,5

Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.079410 - 11 June 2026

Abstract This article has no abstract. More >

Kai Luo^#, Jinghao Zheng^#, Yanjun Pan, Zhongqun Zhu, Xiaomin He^*, Hao Zhang^*

Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.078290 - 11 June 2026

Abstract Background Double outlet right ventricle (DORV) is a complex congenital heart disease with significant anatomical variations. Patients with atrioventricular discordance have traditionally been managed with univentricular palliation strategies. However, advances in surgical concepts and techniques have enabled biventricular or one-and-a-half ventricle repair in selected patients, even after prior palliation. Case presentation We report a case of a 32-year-old woman with DORV and atrioventricular discordance who successfully underwent conversion to a one-and-a-half ventricle circulation using a combined Hemi-Mustard/Rastelli procedure with preservation of a pre-existing bidirectional Glenn shunt, performed 18 years after initial palliation. Conclusion This case More >

Jiaxiong Wu^1,2,3,#, Runzhang Liang^1,#, Naijimuding ABUDUREXITI^4,#, Jing Ling², Zirui Peng², Jinxin Li¹, Canxin Wang¹, Yong Zhang¹, Haiyun Yuan^1,2,3,*, Shusheng Wen^1,2,3,*

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 >

Jie Wu^1,#, Guiwen Liang^1,#, Ya Pan^1,#, Talaibaike Maimaijuma^2,3, Xianggui Xu^2,3, Juying Lu¹, Zhongwei Huang^1,*, Lei Qi^1,*, Haiyan Jiang^1,*

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 >