Nicholas Y. Tan¹, Christine H. Attenhofer Jost¹, Murray D. Polkinghorne¹, Emily R. Vargas², David O. Hodge², Joseph A. Dearani³, Samuel J. Asirvatham^1,4, Heidi M. Connolly¹, Christopher J. McLeod¹

Congenital Heart Disease, Vol.14, No.6, pp. 1157-1165, 2019, DOI:10.1111/chd.12841

Abstract Introduction: Mechanisms and risk factors for cerebrovascular accidents (CVAs) in Ebstein’s anomaly (EA) are not well understood; hence, we aimed to clarify these in a large cohort of EA patients.
Methods: Patients with a confirmed diagnosis of EA were retrospectively reviewed. Baseline characteristics were compared between patients with and without a prior history of CVA using logistic regression modeling. Cox regression analysis was used to identify predictors of CVA following initial evaluation. CVA incidence from birth and following tricuspid valve surgery were estimated using the Kaplan‐Meier method.
Results: Nine hundred sixty‐eight patients (median age 21.1 years, 41.5% male) were included,… More >

Bin Yang^1,2,3,*, Hao Sun¹, Aiyuan Wang¹, Qun Wang²

Molecular & Cellular Biomechanics, Vol.17, No.1, pp. 49-62, 2020, DOI:10.32604/mcb.2019.07534

Abstract In order to predict and evaluate injury mechanism and biomechanical response of the facial impact on head injury in a crash accident. With the combined modern medical imaging technologies, namely computed tomography (CT) and magnetic resonance imaging (MRI), both geometric and finite element (FE) models for human head-neck with detailed cranio-facial structure were developed. The cadaveric head impact tests were conducted to validate the headneck finite element model. The intracranial pressure, skull dynamic response and skull-brain relative displacement of the whole head-neck model were compared with experimental data. Nine typical cases of facial traffic accidents were simulated, with the individual… More >

Yong Chen^1,*, Lei Cui¹, Chong Wang²

Journal of Quantum Computing, Vol.1, No.1, pp. 41-48, 2019, DOI:10.32604/jqc.2019.06283

Abstract In order to solve the problem of data island in the safety management of offshore oil and gas fields, take full advantage of data for subsequent analysis and development, and support production safety management of oil and gas fields, the MES, which is maturely applied in manufacturing and downstream production of CNOOC (China National Offshore Oil Corporation), is introduced by the petroleum administration at the eastern South China sea. The system adopts the real-time database and relational database to collect the scattered structured data, such as evidence information of offshore oil and gas production facilities personnel, on-site hidden danger information… More >