Bi Feng^#, Siqi Yang^#, Zhiqiang He, Yushi Dai, Ruiqi Zou, Yafei Hu, Haijie Hu^*, Fuyu Li^*

Oncology Research, Vol.33, No.9, pp. 2353-2377, 2025, DOI:10.32604/or.2025.061422 - 28 August 2025

Abstract Objectives: Hepatocellular carcinoma (HCC) is among the most frequently occurring malignant tumors of the digestive tract and is associated with an increased mortality rate worldwide. This study aimed to develop and validate a prognostic model based on immunogenic cell death (ICD)-related genes to predict patient survival and guide individualized treatment strategies for HCC. Methods: ICD-related genes were identified from the GeneCards database using a relevance score threshold of >10. A combination of least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox analysis was used to screen prognostic genes and construct a risk score… More >

Haider Ali, Rashadul Islam Sumon, Abdul Rehman Khalid, Kounen Fathima, Hee Cheol Kim^*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5445-5462, 2025, DOI:10.32604/cmc.2025.065992 - 30 July 2025

Abstract Artificial intelligence is reshaping radiology by enabling automated report generation, yet evaluating the clinical accuracy and relevance of these reports is a challenging task, as traditional natural language generation metrics like BLEU and ROUGE prioritize lexical overlap over clinical relevance. To address this gap, we propose a novel semantic assessment framework for evaluating the accuracy of artificial intelligence-generated radiology reports against ground truth references. We trained 5229 image–report pairs from the Indiana University chest X-ray dataset on the R2GenRL model and generated a benchmark dataset on test data from the Indiana University chest X-ray and… More >

Fatima Abu Siryeh^*, Hussein Alrammahi, Abdullahi Abdu İbrahim

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5021-5046, 2025, DOI:10.32604/cmc.2025.065206 - 30 July 2025

Abstract Biometric template protection is essential for finger-based authentication systems, as template tampering and adversarial attacks threaten the security. This paper proposes a DCT-based fragile watermarking scheme incorporating AI-based tamper detection to improve the integrity and robustness of finger authentication. The system was tested against NIST SD4 and Anguli fingerprint datasets, wherein 10,000 watermarked fingerprints were employed for training. The designed approach recorded a tamper detection rate of 98.3%, performing 3–6% better than current DCT, SVD, and DWT-based watermarking approaches. The false positive rate (≤1.2%) and false negative rate (≤1.5%) were much lower compared to previous… More >

Gaofeng Pan^1,2,3, Jiali Li^1,2, Weijie Sun⁴, Jiayu He^1,2, Maoying Fu³, Yufeng Gao^1,2,*

Oncology Research, Vol.33, No.8, pp. 1991-2011, 2025, DOI:10.32604/or.2025.063993 - 18 July 2025

Abstract Aims: The aim of this study is to develop a prognostic model for hepatocellular carcinoma (HCC) using stemness-related genes (SRGs), while also pinpointing and validating pivotal genes associated with this process. Methods: Utilizing the TCGA and ICGC database, a prognostic stemness-related scores (SRS) for HCC through a combination of WGCNA and machine learning. Bioinformatics analysis evaluated tumor immune infiltration characteristics and drug sensitivity in different SRS subgroups, identifying the key gene TOMM40L. qRT-PCR and IHC were employed to detect the expression level of TOMM40 L. Kaplan-Meier survival analysis assessed the prognostic value of TOMM40L in… More >

Harri Renney^1,*, Isaac V Chenchiah², Maxim Nethercott¹, Rohini Paligadu¹, James Lang¹

Journal of Cyber Security, Vol.7, pp. 221-238, 2025, DOI:10.32604/jcs.2025.064958 - 14 July 2025

Abstract In recent years, the field of cybersecurity has expanded to encompass a deeper understanding of best practices, user behaviour, and the tactics, motivations, and targets of threat actors. At the same time, there is growing interest in how cyber data analytics can support informed decision-making at senior levels. Despite the broader advancements, the field still lacks a robust scientific foundation for accurately calculating cyber vulnerability risk. Consequently, vulnerabilities in hardware and software systems often remain unaddressed for extended periods, undermining the effectiveness of risk mitigation efforts. This paper seeks to address the gap in vulnerability… More >

Siqi Ma^*, Pei Zhang

Journal of Psychology in Africa, Vol.35, No.1, pp. 135-141, 2025, DOI:10.32604/jpa.2025.065759 - 30 April 2025

Abstract This study aimed to explore how core self-evaluations and gender influence interpersonal adjustment and depression risk. Participants were 1748 college students (female = 59.73%, male = 40.27%, mean age = 18.71 years, SD = 0.78 years). The students completed the Interpersonal Adjustment Scale for College Students, Center for Epidemiological Studies Depression Scale, and Core Self-evaluation Scale. The results of Linear regression and mediated moderated effects modeling revealed that college students with higher interpersonal adjustment and core self-evaluation scores were at lower risk for depression. Core self-evaluation mediated the relationship between interpersonal adjustment and depression in More >

Mark Shilling¹, Lauren S. Faber², Hoi Doan², Merry Peckham², Timothy R. Petersen^1,3, Reza Ehsanian¹, Frances Alba^2,*

Canadian Journal of Urology, Vol.32, No.2, pp. 81-88, 2025, DOI:10.32604/cju.2025.063415 - 30 April 2025

Abstract Introduction: Existing literature has highlighted disparities in acute pain management across racial and sex groups in both emergency department and pre-hospital settings. This study aimed to evaluate prescribing patterns among physicians and advanced practice providers for patients with upper tract urolithiasis in an academic emergency department. Materials and Methods: Retrospective chart review of patients diagnosed with upper tract urolithiasis was performed to evaluate age, sex, race, ethnicity, stone size and location, presence of hydronephrosis, admission status, history of prior nephrolithiasis, medications administered in the emergency department (ED), requests for urology consult or referral, and discharge medications. More >

Aihua Tao¹, Chao Li¹, Zhijun Jie¹, Yong Zhang¹, Xing Chen¹, Weili Liu^2,3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 645-656, 2025, DOI:10.32604/fdmp.2025.059545 - 01 April 2025

Abstract Hydraulic sandblasting perforation plays a crucial role in the fracturing and reconstruction of unconventional oil and gas reservoirs. The jet nozzle is an essential part of the hydraulic perforation tool. Insufficient penetration depth, caused by excessive jet distances, presents challenges during the perforation process. To overcome this, an optimization design of the nozzle structure is required to enhance the perforation efficiency. In this paper, a computational fluid-dynamic model for conical-cylindrical nozzles has been elaborated. To further improve the rock-breaking efficiency of the jet nozzle, a fillet design is introduced at the nozzle inlet section. The… More >

Min Feng^*, Long Wang, Lei Sun, Bo Yang, Wei Wang, Jianning Luo, Yan Wang, Ping Liu

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 573-587, 2025, DOI:10.32604/fdmp.2024.056421 - 01 April 2025

Abstract This study sheds light on how pore structure characteristics and varying dynamic pressure conditions influence the permeability of tight sandstone reservoirs, with a particular focus on the Paleozoic reservoirs in the Qingshimao Gas Field. Using CT scans of natural core samples, a three-dimensional digital core was constructed. The maximum ball method was applied to extract a related pore network model, and the pore structure characteristics of the core samples, such as pore radius, throat radius, pore volume, and coordination number, were quantitatively evaluated. The analysis revealed a normally distributed pore radius, suggesting a high degree… More >

DEMEI FENG^1,#, SHENRUI BAI^1,#, GUANJUN CHEN¹, BIBO FU¹, CAILU SONG¹, HAILIN TANG¹, LIANG WANG^2,*, HUA WANG^1,*

Oncology Research, Vol.33, No.4, pp. 965-974, 2025, DOI:10.32604/or.2024.057065 - 19 March 2025

Abstract Objectives: The optimal treatment strategy for early-stage natural killer/T-cell lymphoma (NKTCL) remains unclear. This study aimed to evaluate and compare the clinical outcomes and adverse events (AEs) associated with two treatment regimens for early-stage NKTCL: pegaspargase with concurrent radiation therapy (P+CCRT) and pegaspargase, gemcitabine, and oxaliplatin (P-GEMOX) with sequential radiation therapy (SERT). Propensity score matching (PSM) was employed to ensure balanced comparison between these regimens. Methods: We assessed the efficacy of P+CCRT from a phase II trial and P-GEMOX combined with SERT using real-world data. PSM was conducted at a 1:1 ratio with a caliper… More >