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  • Open Access

    ARTICLE

    Cryotherapy for non-muscle invasive bladder cancer—preliminary results in an animal model

    Azik Hoffman1,2,*, Eyal Kochavi3, Gilad E. Amiel1,2

    Canadian Journal of Urology, Vol.32, No.5, pp. 423-432, 2025, DOI:10.32604/cju.2025.064740 - 30 October 2025

    Abstract Objectives: Initial treatment for Non-Muscle Invasive Bladder Cancer (NMIBC) has remained mostly unchanged in recent decades. Cryotherapy with CO2 has been commonly used in medicine for many years. In this study, we present the results of a pre-clinical study aimed at developing a novel cryoablation device to treat superficial low-grade bladder lesions. Methods: Following initial technical and developmental studies, a rigid cryotherapy device was developed. A technical and efficacy assessment was conducted utilizing the porcine model. Overall, twenty-six ablation areas (up to four per animal) were evaluated. Following an initial routine cystoscopy, the bladder irrigation medium… More >

  • Open Access

    ARTICLE

    Computational Solutions of a Delay-Driven Stochastic Model for Conjunctivitis Spread

    Ali Raza1,*, Asad Ullah2, Eugénio M. Rocha1, Dumitru Baleanu3, Hala H. Taha4, Emad Fadhal5,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3433-3461, 2025, DOI:10.32604/cmes.2025.069655 - 30 September 2025

    Abstract This study investigates the transmission dynamics of conjunctivitis using stochastic delay differential equations (SDDEs). A delayed stochastic model is formulated by dividing the population into five distinct compartments: susceptible, exposed, infected, environmental irritants, and recovered individuals. The model undergoes thorough analytical examination, addressing key dynamical properties including positivity, boundedness, existence, and uniqueness of solutions. Local and global stability around the equilibrium points is studied with respect to the basic reproduction number. The existence of a unique global positive solution for the stochastic delayed model is established. In addition, a stochastic nonstandard finite difference scheme is More >

  • Open Access

    ARTICLE

    Adjuvant Chemotherapy Necessity in Stage I Ovarian Endometrioid Carcinoma: A SEER-Based Study Verified by Single-Center Data and Meta-Analysis

    Liang Yu1,#, Mingrui Zhao1,#, Jinhui Liu2, Yuqin Yang1, Lin Zhang2, Wenjun Cheng2,*

    Oncology Research, Vol.33, No.10, pp. 3007-3022, 2025, DOI:10.32604/or.2025.065137 - 26 September 2025

    Abstract Background: The benefit of adjuvant chemotherapy for stage I ovarian endometrioid carcinoma (OEC) remains controversial. Hence, the study sought to explore its value in stage I OEC patients. Methods: Stage I OEC patients (1988–2018) were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Multivariate Cox analysis was used to control confounders. Logistic regression was used to explore factors associated with adjuvant chemotherapy. Cox regression analysis and Kaplan-Meier curves were used to assess the survival benefits. Single-center clinical data and meta-analysis following PRISMA guidelines provided external validation. Result: Adjuvant chemotherapy correlated with improved survival (Hazard… More >

  • Open Access

    ARTICLE

    Factors of intention to learning transfer in apprenticeships: Results and implications of a chain mediation model

    Xin-Xin Chen1,*, Young-Sup Hyun2,*, Wen-Hao Chen3

    Journal of Psychology in Africa, Vol.35, No.3, pp. 393-401, 2025, DOI:10.32604/jpa.2025.068038 - 31 July 2025

    Abstract This study utilized a sequential mediating model to examine the role of motivation to learn and transfer self-efficacy in the relationships between perceived content validity, mentoring function, continuous learning work culture and intention to transfer learning. The sample comprized 429 final-year apprentices in Guangdong province, China (females = 69.9%, Engineering & Medicine = 69%, mean age = 20.99, SD = 1.60). The apprentices completed standardized measures of motivation to learn, transfer self-efficacy perceived content validity, mentoring function, and continuous learning work culture. Structural equation modeling was used to analyze the data. Results showed perceived content… More >

  • Open Access

    ARTICLE

    Epidemiological Modeling of Pneumococcal Pneumonia: Insights from ABC Fractal-Fractional Derivatives

    Mohammed Althubyani1,*, Nidal E. Taha2, Khdija O. Taha2, Rasmiyah A. Alharb2, Sayed Saber1,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3491-3521, 2025, DOI:10.32604/cmes.2025.061640 - 30 June 2025

    Abstract This study investigates the dynamics of pneumococcal pneumonia using a novel fractal-fractional Susceptible-Carrier-Infected-Recovered model formulated with the Atangana-Baleanu in Caputo (ABC) sense. Unlike traditional epidemiological models that rely on classical or Caputo fractional derivatives, the proposed model incorporates nonlocal memory effects, hereditary properties, and complex transmission dynamics through fractal-fractional calculus. The Atangana-Baleanu operator, with its non-singular Mittag-Leffler kernel, ensures a more realistic representation of disease progression compared to classical integer-order models and singular kernel-based fractional models. The study establishes the existence and uniqueness of the proposed system and conducts a comprehensive stability analysis, including local More >

  • Open Access

    ARTICLE

    Profiling student’s psychological capital and risk for learner burnout: Results and implications of a Chinese study

    Ruijun Song*, Xichen Qin, Xiaomei Yang, Mei Wu, Jinyu Hong, Youping Cao, Yuting Ning

    Journal of Psychology in Africa, Vol.35, No.2, pp. 265-270, 2025, DOI:10.32604/jpa.2025.065778 - 30 June 2025

    Abstract The current study conducted the psychological capital profiles and the relation between profile memberships and learning burnout among undergraduates. Participants were 541 Chinese undergraduates ranging from 18 to 21 years old (48.2% male; Mean years = 19.54, SD = 1.09 years). Latent profile analysis revealed three categories of psychological capital profile consistent high psychological capital profile (50.5%), consistent low psychological capital profile (38.1%), and dominate loss-orientated psychological capital profile (11.4%). The undergraduates in consistent high profile reported high self-efficacy, resilience, hope, and optimism. Consistent low profile characterized by a little low (~0.50 SD below the M) self-efficacy, resilience, More >

  • Open Access

    ARTICLE

    Computational Modeling of Streptococcus Suis Dynamics via Stochastic Delay Differential Equations

    Umar Shafique1, Ali Raza2,7,*, Dumitru Baleanu3, Khadija Nasir4, Muhammad Naveed5, Abu Bakar Siddique1, Emad Fadhal6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 449-476, 2025, DOI:10.32604/cmes.2025.061635 - 11 April 2025

    Abstract Streptococcus suis (S. suis) is a major disease impacting pig farming globally. It can also be transferred to humans by eating raw pork. A comprehensive study was recently carried out to determine the indices through multiple geographic regions in China. Methods: The well-posed theorems were employed to conduct a thorough analysis of the model’s feasible features, including positivity, boundedness equilibria, reproduction number, and parameter sensitivity. Stochastic Euler, Runge Kutta, and Euler Maruyama are some of the numerical techniques used to replicate the behavior of the streptococcus suis infection in the pig population. However, the dynamic… More >

  • Open Access

    ARTICLE

    From Detection to Explanation: Integrating Temporal and Spatial Features for Rumor Detection and Explaining Results Using LLMs

    Nanjiang Zhong*, Xinchen Jiang, Yuan Yao

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4741-4757, 2025, DOI:10.32604/cmc.2025.059536 - 06 March 2025

    Abstract The proliferation of rumors on social media has caused serious harm to society. Although previous research has attempted to use deep learning methods for rumor detection, they did not simultaneously consider the two key features of temporal and spatial domains. More importantly, these methods struggle to automatically generate convincing explanations for the detection results, which is crucial for preventing the further spread of rumors. To address these limitations, this paper proposes a novel method that integrates both temporal and spatial features while leveraging Large Language Models (LLMs) to automatically generate explanations for the detection results.… More >

  • Open Access

    ARTICLE

    The Level of Psychosocial Skills of Nurses Caring for Cancer Patients and Affecting Factors: Results of a Multicenter Study

    Nazmiye Yıldırım1, Perihan Güner2,*, Figen İnci3

    Psycho-Oncologie, Vol.18, No.3, pp. 223-231, 2024, DOI:10.32604/po.2023.045294 - 12 September 2024

    Abstract Caring for cancer patients requires both technical and psychosocial nursing skills. The aim of this study was to determine the psychosocial care skill levels of nurses and affecting factors. This multicenter, cross-sectional study was conducted with 1,189 nurses providing direct care to adult cancer patients in 32 hospitals in 12 geographical regions of Turkey. A questionnaire, the Psychosocial Skills Form, and the Professional Quality of Life Scale were used to collect the data. Nurses’ psychosocial skill level was in the range of 2.72 ± 0.98 and 2.47 ± 0.89 out of four points. Communication skills… More >

  • Open Access

    ARTICLE

    Results Involving Partial Differential Equations and Their Solution by Certain Integral Transform

    Rania Saadah1, Mohammed Amleh1, Ahmad Qazza1, Shrideh Al-Omari2,*, Ahmet Ocak Akdemir3

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1593-1616, 2024, DOI:10.32604/cmes.2023.029180 - 17 November 2023

    Abstract In this study, we aim to investigate certain triple integral transform and its application to a class of partial differential equations. We discuss various properties of the new transform including inversion, linearity, existence, scaling and shifting, etc. Then, we derive several results enfolding partial derivatives and establish a multi-convolution theorem. Further, we apply the aforementioned transform to some classical functions and many types of partial differential equations involving heat equations, wave equations, Laplace equations, and Poisson equations as well. Moreover, we draw some figures to illustrate 3-D contour plots for exact solutions of some selected More >

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