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  • Open Access

    ARTICLE

    A Unified Physics-of-Failure Framework for Reliability Prediction of SiC MOSFET Inverters under Stochastic Mission Profiles

    Mohammed Ansar Mohammed Manaz1,*, Shang Ping Hong2, Tzung-Lin Lee1

    CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.083270 - 27 July 2026

    Abstract Silicon Carbide Metal Oxide Semiconductor Field Effect Transistors (SiC MOSFETs) have superior characteristics compared to traditional Silicon-based switching devices. SiC devices can support fast switching speeds and high blocking voltages. Due to limited historical data and rapid technological improvements, there is not enough field data to correctly evaluate the reliability of the state-of-the-art SiC MOSFETs. An accurate model of their reliability and aging characteristics is needed to expedite their rapid commercial adoption in mission-critical applications, such as offshore wind farms and electric vehicles. Classical handbook-based methods produce large errors due to their inability to correctly… More >

  • Open Access

    REVIEW

    Improving Cancer Therapy: The Strong Synergy of Ginsenosides and Chemotherapy

    Babu Santha Aswani1,#, Bethsebie Lalduhsaki Sailo1,#, Young Yun Jung2,#, Sosmitha Girisa1, Mangala Hegde1, Mohammed S Alqahtani3,4, Mohamed Abbas5, Hassan Ali Almubarak6, Anupam Bishayee7, Kwang Seok Ahn2,*, Ajaikumar B. Kunnumakkara1,*

    BIOCELL, Vol.50, No.8, 2026, DOI:10.32604/biocell.2026.073397 - 27 July 2026

    Abstract Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause of death worldwide. The development of chemoresistance poses a significant hurdle in cancer treatment. Nonetheless, a therapeutic strategy known as chemosensitization has emerged to counteract cancer cell resistance, wherein the efficacy of one drug is augmented by another. Accumulating evidence suggests that natural products have attracted considerable attention in the cancer therapeutic realm due to their ability to combat multidrug resistance with minimal side effects. Ginsenosides, triterpene saponins extracted from Panax ginseng, have demonstrated… More > Graphic Abstract

    Improving Cancer Therapy: The Strong Synergy of Ginsenosides and Chemotherapy

  • Open Access

    ARTICLE

    Comparison of endoscopic treatment for bladder neck contracture: a single centre study and review of literature

    Sofia Fontanet*, Julio F. Calderón-Cortéz, Edgar Suquilanda, Fernando Gaona, Alejandro García Navarro, Marta Piqueras

    Canadian Journal of Urology, Vol.33, No.3, pp. 537-544, 2026, DOI:10.32604/cju.2026.074254 - 29 June 2026

    Abstract Objectives: Nowadays, bladder neck contracture treatment reported is both bladder neck incisions and resection. Also, different energies have been described. This study aimed to describe and compare surgical techniques and energy sources used in Hospital Universitari de Vic. Methods: retrospective study of patients with a diagnosis of bladder neck contracture that required endoscopic surgical treatment between 2000 and 2024. Preoperative, operative, and postoperative characteristics were analysed. At the end of follow-up, the patient’s status was asymptomatic, under urethral dilatations, or with a permanent catheter. Results: 60 patients were included. Mean age was 71.1 years (SD =… More >

  • Open Access

    ARTICLE

    A Novel Binary Classification Neural Network Optimized by the Mosquito Mating Swarm Optimization Algorithm for Predicting Microgrid Operational Modes

    Jesús Águila-León1, Carlos Vargas-Salgado2,*, Dácil Díaz-Bello2, Fabián Lara-Vargas3

    Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.078087 - 18 June 2026

    Abstract Integrating renewable energy sources presents technical challenges due to their variable nature, particularly in predicting and managing microgrid operational modes. Accurate identification of grid states—interconnected or islanded—is essential for maintaining stability and optimizing performance under fluctuating environmental conditions to meet energy demand. This work proposes a bio-inspired, optimized binary classification model based on Multi-Layer Perceptron Artificial Neural Networks (MLP-ANN), with the architecture and hyperparameters tuned using the novel Mosquito Mating Swarm Optimization (MMSO) algorithm, inspired by mosquito mating behavior and swarm dynamics. The model employs an MLP-ANN with a variable number of hidden layers and… More > Graphic Abstract

    A Novel Binary Classification Neural Network Optimized by the Mosquito Mating Swarm Optimization Algorithm for Predicting Microgrid Operational Modes

  • Open Access

    ARTICLE

    Autocrine Motility Factor-Derived Tetradecapeptides as Dual-Action Chemosensitizers: Bridging Cell Competition Mechanisms with Clinical MDR Reversal in Hematological Malignancies

    Changyul Kim1,2,#, Yu Ju Jung2,#, Da Hee Son2, Na Young Kim2, Se Gie Kim3, Hee Sung Park1,*

    Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.078448 - 16 June 2026

    Abstract Backgrounds: Autocrine motility factor (AMF) represents a paradoxical protein with dual roles in cancer progression and therapy. This study investigated AMF-derived tetradecapeptides as novel chemosensitizing agents to overcome multidrug resistance (MDR) in hematological malignancies (HMs). Methods: Seven AMF variants were screened for anticancer activity across 14 human cancer cell lines using MTT and Cell Counting Kit-8 (CCK-8) assays. Four tetradecapeptides (AMF-derived peptides AAP, HGP, HTP, and SKP) corresponding to the AMF206-219 region were designed and evaluated in three HM cell lines (HL-60, CCRF-CEM, IM-9) for growth inhibition, cellular internalization, reactive oxygen species (ROS) production, mitochondrial membrane… More >

  • Open Access

    ARTICLE

    Deep Learning-Assisted Modelling of Electro-Osmotic Flow in Thin Film Sutterby Hybrid Nanofluid over a Porous Inclined Sheet

    Irfan Saif Ud Din1, Imran Siddique2,3,4,5, Zohaib Zahid1, Muhammad Nadeem6, Ibrahim Alraddadi2,*, Taha Radwan7,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.081726 - 27 May 2026

    Abstract This study examines the variable thermal conductivity and electroosmotic performance of Sutterby hybrid nanofluid (SBHNF) thin film flow over a stretched inclined sheet using an artificial neural network (ANN)-based on NARX (Multilayer Nonlinear Autoregressive Networks with Exogenous Inputs) multiple-layer backpropagation simulation with the Levenberg-Marquardt algorithm (LMA). AA7075 and AA7072 nanoparticles suspended in sodium alginate (SA) base fluid make up the hybrid nanofluid (HNF), which was selected due to its improved heat transfer properties and superior thermal conductivity. The model’s practical applicability is enhanced by melting heat, nonlinear thermal radiation, boundary slip, and Newtonian heating effects,… More >

  • Open Access

    ARTICLE

    Second-Law Analysis of Double Diffusive Convection of Casson Ternary Nanofluid in a Porous Enclosure with a T-Shaped Baffle

    Sarna Soren1, Samrat Hansda1,*, Umair Khan2,3, Anuar Ishak4, Ahmed Kadhim Hussein5, Md Mamun Molla6,7

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.079635 - 27 May 2026

    Abstract This study presents a numerical investigation of thermosolutal convection within a baffled porous cavity filled with a radiative Casson-based ternary aqueous nanofluid. The ternary hybrid nanofluid is formulated by dispersing three distinct nanoparticles into a water-based solution, aiming to enhance the thermal and solute transport characteristics. The cavity includes internal baffles that modulate convective flow and facilitate improved energy transport. The governing equations for momentum, energy, species concentration, and entropy generation are discretized and solved using a higher-order compact (HOC) finite difference scheme, ensuring superior numerical precision. The novelty of the present study lies in… More >

  • Open Access

    ARTICLE

    Predicting Tropical Cyclone Genesis Location Using STAG-Net: A Spatio-Temporal Attention-Gated Network

    Kalim Sattar1, Malik Muhammad Saad Missen2, Syeda Zoupash Zahra1,3, Najia Saher4, Rab Nawaz Bashir3,5,6,*, Oumaima Saidani7, Shahid Kamal5, Muhammad I. Khan6

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.078569 - 27 May 2026

    Abstract Tropical Cyclone (TC) genesis forecasting is an important aspect of early warning systems, as it allows the adoption of early warnings and mitigation plans. However, existing methods often rely on binary classification or fail to capture the complex spatio-temporal dependencies that govern TC formation. To address this limitation, this study introduces STAG-Net, a novel Spatio-Temporal Attention-Gated Network designed to directly predict the geographical coordinates of TC genesis. The model uses multivariate variables of meteorological factors such as u-wind, v-wind, relative humidity, temperature, and large-scale dynamic features using a Convolutional Neural Network (CNN), Gated Recurrent Units… More >

  • Open Access

    ARTICLE

    Ethnic Disparities in Glioblastoma Markers: Impact of Chromosome 7 Gain and 10 Loss Alterations on Clinical Survival Outcomes

    Fang-Ying Chiu1,2,3,*, Yun Yen2,4,5,6

    Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.077076 - 21 May 2026

    Abstract Objective: Glioblastoma (GBM) is the most common primary malignant brain tumor and is characterized by significant intratumoral heterogeneity. This study aimed to investigate the clinical and genomic landscapes of GBM across diverse ethnic populations to identify potential prognostic markers. Methods: Leveraging The Cancer Imaging Archive (TCIA) and bioinformatics modeling, White, African, and Asian American cohorts were analyzed. Patients were stratified according to the 2021 WHO classification of central nervous system (CNS) tumors. Population-specific genomic drivers and phenotypic markers were evaluated for their impact on outcomes. Survival rates across age, sex, and ethnicity were estimated using the… More >

  • Open Access

    ARTICLE

    Self-Assembled MoS2/Graphene Oxide Hybrid Structures for High-Capacity Supercapacitors: A Scalable Approach

    Mohsin Sayeed1,*, O. P. Singh1, Vishal Singh Chandel2, Azam Raza3, Kamal Batcha Mohamed Ismail4, Mayur Khan5, Navshad Alam6,7, Mohammad Shariq8

    Chalcogenide Letters, Vol.23, No.4, 2026, DOI:10.32604/cl.2026.079721 - 09 May 2026

    Abstract An eco-friendly one-pot hydrothermal method was developed to synthesize molybdenum disulfide/graphene oxide (MoS2/GO) nanocomposites for high-performance supercapacitor applications. X-ray diffraction (XRD) analysis confirmed the presence of the MoS2 crystalline phase, with reduced peak intensities upon GO incorporation, indicating suppressed crystallite growth. Scanning electron microscopy (SEM) revealed rod-like MoS2 structures uniformly distributed across layered GO sheets, and energy-dispersive spectroscopy (EDS) confirmed the presence of Mo, S, C, and O elements. Raman and FTIR analyses verified strong interfacial interactions between MoS2 and GO. Brunauer–Emmett–Teller (BET) measurements revealed a mesoporous structure with a specific surface area of ~31.7 m2 g−1 and… More >

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