Zhengyang Zhang^1,2, Jing Sun^1,2,*, Xin Shi³, Dehua Liu^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 509-527, 2025, DOI:10.32604/fdmp.2025.060393 - 01 April 2025

Abstract High saturation pressure reservoirs experience rapid pressure decline during exploitation, leading to significant changes in crude oil phase behavior and a continuous increase in viscosity after degassing, which adversely affects oil recovery. This challenge is particularly acute in tight sandstone reservoirs. To optimize the development strategy for such reservoirs, a series of experiments were conducted using core samples from a high saturation tight sandstone reservoir in the JS oilfield. Gas-dissolved crude oil was prepared by mixing wellhead oil and gas samples, enabling the identification of the critical point where viscosity changes as pressure decreases. Oil-water… More >

Jing Ling¹, Naijimuding Abudurexiti¹, Jiaxiong Wu¹, Runzhang Liang¹, Zirui Peng¹, Yuting Huang², Haiyun Yuan^1,3,4,*, Shusheng Wen^1,3,4,*

Congenital Heart Disease, Vol.20, No.1, pp. 13-25, 2025, DOI:10.32604/chd.2025.063437 - 18 March 2025

Abstract Background: Although Cone reconstruction has been shown to improve biventricular function over time, postoperative right ventricular dysfunction (RVD) is frequently observed, signiffcantly affecting reoperation and long-term prognosis. This study aims to identify the predictors for postoperative RVD. Methods: This retrospective cohort study included 51 patients with Ebstein’s anomaly who underwent the Cone reconstruction. RVD was deffned as right ventricular fractional area change (RV-FAC) less than 35% and tricuspid annular plane systolic excursion (TAPSE) less than 17 mm through pre-discharge echocardiography. Univariate and multivariate analyses were used to analyze the pre-operative predictors. Results: The median age at surgery… More >

Ahmed M. Dardeer^1,2,3,#, Victoria M. Stoll^1,2,#, Boyang Liu^1,2, William E. Moody^1,2, Colin D. Chue¹, Paul Clift^1,2, Roman Wesolowski⁴, Lucy E. Hudsmith¹, Richard P. Steeds^1,2,*

Congenital Heart Disease, Vol.20, No.1, pp. 27-39, 2025, DOI:10.32604/chd.2025.059729 - 18 March 2025

Abstract Background: Patients with unrepaired Ebstein’s anomaly experience exercise intolerance, heart failure and premature mortality. Volumetric assessment of right ventricular function is difficult due to the complex anatomy of the right ventricle and tricuspid valve. Myocardial deformation indices are an early marker in other cardiac pathologies of ventricular dysfunction. Objectives: 1. Assess myocardial deformation in unrepaired Ebstein’s compared to healthy controls. 2. Investigate the relationships between myocardial deformation and exercise capacity. Methods: Myocardial deformation parameters (strain) were calculated using feature tracking from standard cardiac magnetic resonance cine images. Cardiopulmonary exercise results were included where available. Results: 36 patients… More >

Khalid Jamil¹, Wahab Khan¹, Bilal Khan², Sarwar Shah Khan^2,*

Digital Engineering and Digital Twin, Vol.3, pp. 1-16, 2025, DOI:10.32604/dedt.2025.058943 - 28 February 2025

Abstract Brain tumors are one of the deadliest cancers, partly because they’re often difficult to detect early or with precision. Standard Magnetic Resonance Imaging (MRI) imaging, though essential, has limitations, it can miss subtle or early-stage tumors, which delays diagnosis and affects patient outcomes. This study aims to tackle these challenges by exploring how machine learning (ML) can improve the accuracy of brain tumor identification from MRI scans. Motivated by the potential for artificial intillegence (AI) to boost diagnostic accuracy where traditional methods fall short, we tested several ML models, with a focus on the K-Nearest More >

Lakshmi S V V¹, Shiloah Elizabeth Darmanayagam^1,*, Sunil Retmin Raj Cyril²

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 733-757, 2025, DOI:10.32604/cmes.2024.056424 - 17 December 2024

Abstract Lower back pain is one of the most common medical problems in the world and it is experienced by a huge percentage of people everywhere. Due to its ability to produce a detailed view of the soft tissues, including the spinal cord, nerves, intervertebral discs, and vertebrae, Magnetic Resonance Imaging is thought to be the most effective method for imaging the spine. The semantic segmentation of vertebrae plays a major role in the diagnostic process of lumbar diseases. It is difficult to semantically partition the vertebrae in Magnetic Resonance Images from the surrounding variety of… More >

Noam Bar-Yaakov^1,2, Ziv Savin^1,2, Ibrahim Fahoum^2,3, Sophie Barnes^2,4, Yuval Bar-Yosef^1,2, Ofer Yossepowitch^1,2, Gal Keren-Paz^1,2, Roy Mano^1,2

Canadian Journal of Urology, Vol.31, No.1, pp. 11793-11801, 2024

Abstract Introduction: Prostate cancer screening with PSA is associated with low specificity; furthermore, little is known about the optimal timing of biopsy. We aimed to evaluate whether a risk classification system combining PSA density (PSAD) and mpMRI can predict clinically significant cancer and determine biopsy timing.
Materials and methods: We reviewed the medical records of 256 men with a PI-RADS ≥ 3 lesion on mpMRI who underwent transperineal targeted and systematic biopsies of the prostate between 2017-2019. Patients were stratified into three risk groups based on PSAD and mpMRI findings.
The study endpoint was clinically significant prostate cancer (CSPC).… More >

Snir Dekalo^1,2, Ohad Mazliah², Eyal Barkai^1,2, Yuval Bar-Yosef^1,2, Haim Herzberg^1,2, Tomer Bashi^1,2, Ibrahim Fahoum^2,3, Sophie Barnes^2,4, Mario Sofer^1,2, Ofer Yossepowitch^1,2, Gal Keren-Paz^1,2, Roy Mano^1,2

Canadian Journal of Urology, Vol.31, No.4, pp. 11955-11962, 2024

Abstract Introduction: Most men diagnosed with very-low and low-risk prostate cancer are candidates for active surveillance; however, there is still a misclassification risk. We examined whether PI-RADS category 4 or 5 combined with ISUP 1 on prostate biopsy predicts upgrading and/ or adverse pathology at radical prostatectomy.
Materials and methods: A total of 127 patients had ISUP 1 cancer on biopsy after multiparametric MRI (mpMRI) and then underwent radical prostatectomy. We then evaluated them for ISUP upgrading and/or adverse pathology on radical prostatectomy.
Results: Eight-nine patients (70%) were diagnosed with PI-RADS 4 or 5 lesions. ISUP upgrading was significantly… More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.11, pp. 1829-1829, 2024, DOI:10.32604/or.2024.056904 - 16 October 2024

Abstract This article has no abstract. More >

Xiaodong Xiang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012861

Abstract Material genes could be understood as the relationship between composition (element, valence state, function group, etc.), structure (lattice, molecular weight, defect, etc.), thermodynamic parameters (temperature, time, pressure, etc.) and physical properties, represented as materials phase diagrams [1-3]. I will discuss 1) a recently developed an optical plasma resonance spectrum method to characterize the electrical transport properties; 2）the progress in studying dynamic phase diagrams；3）the progress using advanced neural network algorisms to predict materials key properties. More >

Deema Mohammed Alsekait¹, Ahmed Younes Shdefat², Ayman Nabil³, Asif Nawaz^4,*, Muhammad Rizwan Rashid Rana⁴, Zohair Ahmed⁵, Hanaa Fathi⁶, Diaa Salama AbdElminaam^6,7,8

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3967-3990, 2024, DOI:10.32604/cmc.2024.054591 - 12 September 2024

Abstract Heart disease remains a leading cause of morbidity and mortality worldwide, highlighting the need for improved diagnostic methods. Traditional diagnostics face limitations such as reliance on single-modality data and vulnerability to apparatus faults, which can reduce accuracy, especially with poor-quality images. Additionally, these methods often require significant time and expertise, making them less accessible in resource-limited settings. Emerging technologies like artificial intelligence and machine learning offer promising solutions by integrating multi-modality data and enhancing diagnostic precision, ultimately improving patient outcomes and reducing healthcare costs. This study introduces Heart-Net, a multi-modal deep learning framework designed to… More >