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  • Open Access

    ARTICLE

    Biological Features of KLC2 Mutations in Chronic Myeloid Leukemia and Their Contribution to Inducing Drug Resistance

    Rabindranath Bera1,#, Yotaro Ochi2,3, Ying-Jung Huang1, Ming-Chung Kuo1,4, Kenichi Yoshida5, Seishi Ogawa2, Lee-Yung Shih1,4,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.070259 - 30 December 2025

    Abstract Background: Breakpoint Cluster Region-Abelson (BCR::ABL1) fusion protein is essential in the pathogenesis of chronic myeloid leukemia (CML); however, the chronic-to-blast phase transformation remains elusive. We identified novel kinesin light chain 2 (KLC2) mutations in CML-myeloid blast phase patients. We aimed to examine the functional role of KLC2 mutations in leukemogenesis. Methods: To evaluate the biological role of KLC2 mutants (MT) in CML cells, we expressed KLC2-MT in different human CML cell lines harboring BCR::ABL1 and performed immunoblot, immunofluorescence, cell proliferation, differentiation, and apoptosis; Tyrosine kinase inhibitor (TKI)-drug activities; and clonogenic assays for in vitro functional analyses. We co-expressed KLC2-MTMore >

  • Open Access

    ARTICLE

    Validation of Contextual Model Principles through Rotated Images Interpretation

    Illia Khurtin*, Mukesh Prasad

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-15, 2026, DOI:10.32604/cmc.2025.067481 - 09 December 2025

    Abstract The field of artificial intelligence has advanced significantly in recent years, but achieving a human-like or Artificial General Intelligence (AGI) remains a theoretical challenge. One hypothesis suggests that a key issue is the formalisation of extracting meaning from information. Meaning emerges through a three-stage interpretative process, where the spectrum of possible interpretations is collapsed into a singular outcome by a particular context. However, this approach currently lacks practical grounding. In this research, we developed a model based on contexts, which applies interpretation principles to the visual information to address this gap. The field of computer… More >

  • Open Access

    ARTICLE

    Leaders’ artificial intelligence symbolization behavior and enterprise digital transformation: Mediation by employees’ attitude towards digital transformation, and moderation of learning orientation

    Yungui Guo*, Xuan Fan

    Journal of Psychology in Africa, Vol.35, No.6, pp. 791-796, 2025, DOI:10.32604/jpa.2025.067238 - 30 December 2025

    Abstract This study examined the moderating role of employees’ learning orientation on the relationship between leaders’ artificial intelligence symbolization behavior (LAISB), employees’ attitude towards digital transformation (ATDT), and enterprise digital transformation. The sample consisted of 261 employees from five enterprises in China (female = 34.5%; primary industry includes the internet and transportation; mean age = 42.51 years, SD = 8.63 years; bachelor’s degree or above = 72.8%). The results of structural equation modeling and simple slope test indicated that LAISB predicted higher enterprise digital transformation, with ATDT partial mediation. Furthermore, employees’ learning orientation weakened the relationship More >

  • Open Access

    ARTICLE

    Integrating Temporal Change Detection and Advanced Hybrid Modeling to Predict Urban Expansion in Jaipur, a UNESCO World Heritage City

    Saurabh Singh1,2, Sudip Pandey3,*, Ankush Kumar Jain1

    Revue Internationale de Géomatique, Vol.34, pp. 899-914, 2025, DOI:10.32604/rig.2025.071156 - 09 December 2025

    Abstract Urban expansion in semi-arid regions poses critical challenges for sustainable land management, ecological resilience, and heritage conservation. Jaipur, India—a United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage City located in a semi-arid environment—faces rapid urbanization that threatens agricultural productivity, fragile ecosystems, and cultural assets. This study quantifies past and projects future land use/land cover (LULC) dynamics in Jaipur to support evidence-based planning. Using the Dynamic World dataset, we generated annual 10-m LULC maps from 2016 to 2025 within the municipal boundary. Temporal change detection was conducted through empirical transition probability analysis, and future… More >

  • Open Access

    ARTICLE

    Robust Control and Stabilization of Autonomous Vehicular Systems under Deception Attacks and Switching Signed Networks

    Muflih Alhazmi1, Waqar Ul Hassan2, Saba Shaheen3, Mohammed M. A. Almazah4, Azmat Ullah Khan Niazi3,*, Nafisa A. Albasheir5, Ameni Gargouri6, Naveed Iqbal7

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1903-1940, 2025, DOI:10.32604/cmes.2025.072973 - 26 November 2025

    Abstract This paper proposes a model-based control framework for vehicle platooning systems with second-order nonlinear dynamics operating over switching signed networks, time-varying delays, and deception attacks. The study includes two configurations: a leaderless structure using Finite-Time Non-Singular Terminal Bipartite Consensus (FNTBC) and Fixed-Time Bipartite Consensus (FXTBC), and a leader—follower structure ensuring structural balance and robustness against deceptive signals. In the leaderless model, a bipartite controller based on impulsive control theory, gauge transformation, and Markovian switching Lyapunov functions ensures mean-square stability and coordination under deception attacks and communication delays. The FNTBC achieves finite-time convergence depending on initial More >

  • Open Access

    ARTICLE

    Spatio-Temporal Flood Inundation Dynamics and Land Use Transformation in the Jhelum River Basin Using Remote Sensing and Historical Hydrological Data

    Ihsan Qadir1, Usama Naeem2, Ahmed Nouman3, Aamir Raza4, Jun Wu1,*

    Revue Internationale de Géomatique, Vol.34, pp. 831-853, 2025, DOI:10.32604/rig.2025.069020 - 10 November 2025

    Abstract The Jhelum River Basin in Pakistan has experienced recurrent and severe flooding over the past several decades, leading to substantial economic losses, infrastructure damage, and socio-environmental disruptions. This study uses multi-temporal satellite remote sensing data with historical hydrological records to map the spatial and temporal dynamics of major flood events occurring between 1988 and 2019. By utilizing satellite imagery from Landsat 5, Landsat 8, and Sentinel-2, key flood events were analyzed through the application of water indices such as the Normalized Difference Water Index (NDWI) and the Modified NDWI (MNDWI) to delineate flood extents. Historical… More >

  • Open Access

    REVIEW

    Malignant Transformation of Diabetic Foot Ulcer: Pathophysiology, Molecular Mechanisms, and Clinical Implications

    Sophia Strukel1, Vikrant Rai1,2,*

    BIOCELL, Vol.49, No.10, pp. 1887-1911, 2025, DOI:10.32604/biocell.2025.067207 - 22 October 2025

    Abstract Diabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus and are associated with high morbidity, risk of amputation, and increased mortality. Although DFUs typically remain a chronic, non-healing wound, a small portion of DFUs may undergo malignant transformation. The subsequent malignancies are skin cancers such as squamous cell carcinoma (SCC), basal cell carcinoma, or melanoma. Understanding the pathophysiology of DFUs and the molecular and clinical determinants that contribute to their potential malignant transformation if crucial for clinical management. Chronic inflammation, dysregulation of cytokine signaling, faulty immune surveillance, and impaired wound healing all play… More >

  • Open Access

    ARTICLE

    MNTSCC: A VMamba-Based Nonlinear Joint Source-Channel Coding for Semantic Communications

    Chao Li1,3,#, Chen Wang1,3,#, Caichang Ding2,*, Yonghao Liao1,3, Zhiwei Ye1,3

    CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3129-3149, 2025, DOI:10.32604/cmc.2025.067440 - 23 September 2025

    Abstract Deep learning-based semantic communication has achieved remarkable progress with CNNs and Transformers. However, CNNs exhibit constrained performance in high-resolution image transmission, while Transformers incur high computational cost due to quadratic complexity. Recently, VMamba, a novel state space model with linear complexity and exceptional long-range dependency modeling capabilities, has shown great potential in computer vision tasks. Inspired by this, we propose MNTSCC, an efficient VMamba-based nonlinear joint source-channel coding (JSCC) model for wireless image transmission. Specifically, MNTSCC comprises a VMamba-based nonlinear transform module, an MCAM entropy model, and a JSCC module. In the encoding stage, the… More >

  • Open Access

    ARTICLE

    Transformational leadership effects on employee bootleg innovation in the context of digital transformation: Creative self-efficacy mediation and leader-member exchange moderation

    Zhiying Sun1, Guolong Zhao2,3, Feng Hu1,*

    Journal of Psychology in Africa, Vol.35, No.4, pp. 513-521, 2025, DOI:10.32604/jpa.2025.070126 - 17 August 2025

    Abstract This study examined the relationship between transformational leadership and employee bootleg innovation through the mediating role of creative self-efficacy and the moderating role of leader-member exchange (LMX). Data were collected from 279 employees and 56 matched supervisors within a large Chinese digital transformation group. A moderated mediation model analysis found that transformational leadership predicts higher employee bootleg innovation. Creative self-efficacy mediated the positive relationship between transformational leadership and employee bootleg. Additionally, leader-member exchange significantly moderated the relationship between transformational leadership and creative self-efficacy, for a further enhancement of bootleg innovation. These findings underscore the importance More >

  • Open Access

    ARTICLE

    Research on Post Evaluation of Mechanized Construction in Power Transmission and Transformation Projects with Game Theory and Fuzzy Grey Projection

    Mingchen Gao*

    Energy Engineering, Vol.122, No.8, pp. 3243-3263, 2025, DOI:10.32604/ee.2025.065957 - 24 July 2025

    Abstract Currently, the international economic situation is becoming increasingly complex, and there is significant downward pressure on the global economy. In recent years, China’s infrastructure sector has experienced rapid growth, with the structure of its power engineering business gradually shifting from traditional infrastructure construction to more diversified areas such as production and operation, as well as emergency repairs. As a result, the transformation of mechanized construction in power transmission and transformation projects has become increasingly urgent. This article proposes a post-evaluation model based on game theory to improve comprehensive weighting and fuzzy grey relational projection sorting,… More > Graphic Abstract

    Research on Post Evaluation of Mechanized Construction in Power Transmission and Transformation Projects with Game Theory and Fuzzy Grey Projection

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