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  • Open Access

    ARTICLE

    Molybdenum disulfide carbon composite material using hydrothermal method as electrode material for supercapacitors

    X. L. Guoa, Y. F. Zhanga,*, S. Y. Lib, Q. Lib, Q. Haoc, X. Y. Ranc, Y. M. Zhaod

    Chalcogenide Letters, Vol.22, No.4, pp. 313-330, 2025, DOI:10.15251/CL.2025.224.313

    Abstract MoS2 has excellent properties but low conductivity, limiting its use in supercapacitors. Carbon’s high conductivity and stability enhance MoS2’s electrochemical performance and cycling stability. This study prepared MoS2/C composites via a one-step hydrothermal method, exploring the effects of solvents and carbon content. Deionized water as a solvent resulted in composites with large specific surface areas and good electrochemical properties. Increasing carbon content improved electrochemical performance, peaking at a glucose content of 0.28 mmol, achieving a specific capacitance of 202.6 F/g. However, excessive carbon content led to decreased performance. More >

  • Open Access

    ARTICLE

    Investigation of stable dielectric permittivity with superior EMI shielding capabilities of a multifunctional NiFe2O4@MoS2 nanomaterial

    U. Anwara,, M. Rafib, N. A. Noorc, S. Mumtazd,, Hosam O. Elansarye

    Chalcogenide Letters, Vol.22, No.4, pp. 293-311, 2025, DOI:10.15251/CL.2025.224.293

    Abstract This study presents a multifunctional NiFe2O4@MoS2 nanomaterial synthesized by co-precipitation and hydrothermal methods. The highly magnified Field emission scanning electron microscopic (FESEM) images expose an excellent interconnected network of MoS2 petals and NiFe2O4 cores. NiFe2O4@MoS2 nanomaterial's crystalline arrangement and phase purity are explored using X-ray diffraction (XRD) analysis. A comprehensive analysis of the NiFe2O4@MoS2 nanomaterial, focusing on its dynamic electrical properties across a temperature zone of 183 K to 373 K. The temperature-dependent impedance and modulus plots versus frequency reveal insights into the material’s conduction and relaxation. Electrical characteristics verify the contribution of electroactive regions, such as grains… More >

  • Open Access

    ARTICLE

    Synthesis of MoS2/Fe3O4 composites for the detection of liver cancer biomarker alpha-fetoprotein

    C. B. Cuia,b, G. C. Yangb, Z. Zhanga,, X. J. Wangc,

    Chalcogenide Letters, Vol.22, No.6, pp. 507-520, 2025, DOI:10.15251/CL.2025.226.507

    Abstract This research introduces an innovative aptasensor for detecting alpha-fetoprotein with exceptional sensitivity and specificity, employing a novel MoS2/Fe3O4 composite fabricated through an advanced in-situ growth methodology. The composite exhibited a hierarchical flower-like structure with uniformly distributed Fe3O4 nanoparticles, confirmed by SEM, XRD, and Raman spectroscopy. The MoS2/Fe3O4 composite demonstrated a 66% increase in surface area (7.16 m²/g) compared to pristine MoS2, enhancing aptamer immobilization and electron transfer efficiency. Electrochemical characterization revealed a significant increase in interfacial resistance upon AFP binding, with a detection limit of 0.3 pg/mL and a dual linear range of 0.001–0.1 ng/mL and 0.1–100 More >

  • Open Access

    ARTICLE

    Adsorption behavior and mechanism of heavy metal ions from acid mine drainage using two-dimensional MoS2 nanosheets

    K. Wanga,b,*, G. L. Lianc, Y. F. Qiaod

    Chalcogenide Letters, Vol.22, No.10, pp. 889-904, 2025, DOI:10.15251/CL.2025.2210.889

    Abstract The remediation of acid mine drainage (AMD), characterized by its high concentrations of toxic metal ions and low pH, presents a significant environmental challenge. In this study, exfoliated two-dimensional MoS nanosheets were prepared using a liquid-phase ultrasonication method and evaluated for their efficiency in removing Cd²⁺, Cu²⁺, and Pb²⁺ from aqueous solutions. Detailed structural and morphological analyses confirmed that the exfoliation process significantly enhanced surface area, pore volume, and exposure of reactive sulfur sites. Through isotherm and kinetic modeling analyses, the adsorption behavior was found to align with the Langmuir model and pseudo-second-order kinetic equation, which implies More >

  • Open Access

    ARTICLE

    Atmospheric Delay Correction Using GNSS and GACOS Data in InSAR Land Subsidence Monitoring over Banting, Selangor

    Mohd Hakimi Abdul Rahman1, Amir Sharifuddin Ab Latip1,*, Zulkiflee Abd Latif1,2, Siti Balqis Mohd Tun1, Nur Azlina Hariffin1, Mohd Fikri Razali3

    Revue Internationale de Géomatique, Vol.34, pp. 959-972, 2025, DOI:10.32604/rig.2025.071109 - 12 December 2025

    Abstract Atmospheric phase delay, primarily caused by water vapor in the troposphere, is a major source of error in InSAR measurements, especially for land subsidence monitoring. This study integrates GNSS and GACOS data to correct tropospheric delay and enhance InSAR accuracy in Banting, Selangor. A total of 27 Sentinel-1A images, 14 GNSS stations, and 27 corresponding GACOS ZTD maps were used to monitor subsidence between 2023 and 2025. The InSAR data were processed using SNAP, StaMPS, and the TRAIN toolbox, incorporating both GNSS- and GACOS-derived ZTD corrections. The results show that applying atmospheric correction improved the… More >

  • Open Access

    ARTICLE

    MHD Thermosolutal Flow in Casson-Fluid Microchannels: Taguchi–GRA–PCA Optimization

    Amina Mahreen1, Fateh Mebarek-Oudina2,3,4,*, Amna Ashfaq1, Jawad Raza1, Sami Ullah Khan5, Hanumesh Vaidya6

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2829-2853, 2025, DOI:10.32604/fdmp.2025.072492 - 01 December 2025

    Abstract Understanding the complex interaction between heat and mass transfer in non-Newtonian microflows is essential for the development and optimization of efficient microfluidic and thermal management systems. This study investigates the magnetohydrodynamic (MHD) thermosolutal convection of a Casson fluid within an inclined, porous microchannel subjected to convective boundary conditions. The nonlinear, coupled equations governing momentum, energy, and species transport are solved numerically using the MATLAB bvp4c solver, ensuring high numerical accuracy and stability. To identify the dominant parameters influencing flow behavior and to optimize transport performance, a comprehensive hybrid optimization framework—combining a modified Taguchi design, Grey… More >

  • Open Access

    ARTICLE

    C-Phycocyanin–Cisplatin Combination Targeting Redox Balance for Enhanced Efficacy Against Glioblastoma Cells

    Rym Akrout1, Ludovic Leloup2, Khouloud Ayed1, Fabrice Parat2, Sami Zekri3,4, Wassim Y. Almawi1, Rahma Boughriba1, Hanen Attia1, Olfa Masmoudi-Kouki4, Hervé Kovacic2,*, Asma Gati1,*

    Oncology Research, Vol.33, No.12, pp. 3887-3906, 2025, DOI:10.32604/or.2025.070729 - 27 November 2025

    Abstract Objectives: Cisplatin (CDDP) therapy for glioblastoma (GBM) is linked with several limitations, which include poor penetration of the blood-brain barrier (BBB), systemic toxicity, and the development of drug resistance mechanisms implicating oxidative stress dysregulation and compromised apoptotic pathways. This study evaluates C-Phycocyanin (C-PC) as a potential adjuvant to enhance CDDP efficacy by modulating redox balance and apoptosis. Methods: GBM cells (U87 and U87-EGFRvIII) were treated with CDDP, C-PC, or their combination. Cell viability was assessed by MTT assay; apoptosis was evaluated by DAPI staining and Western blot analysis of cleaved Caspase-3 and poly (ADP-ribose) polymerase… More > Graphic Abstract

    C-Phycocyanin–Cisplatin Combination Targeting Redox Balance for Enhanced Efficacy Against Glioblastoma Cells

  • Open Access

    ARTICLE

    HybridFusionNet with Explanability: A Novel Explainable Deep Learning-Based Hybrid Framework for Enhanced Skin Lesion Classification Using Dermoscopic Images

    Mohamed Hammad1,2,*, Mohammed ElAffendi1, Souham Meshoul3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 1055-1086, 2025, DOI:10.32604/cmes.2025.072650 - 30 October 2025

    Abstract Skin cancer is among the most common malignancies worldwide, but its mortality burden is largely driven by aggressive subtypes such as melanoma, with outcomes varying across regions and healthcare settings. These variations emphasize the importance of reliable diagnostic technologies that support clinicians in detecting skin malignancies with higher accuracy. Traditional diagnostic methods often rely on subjective visual assessments, which can lead to misdiagnosis. This study addresses these challenges by developing HybridFusionNet, a novel model that integrates Convolutional Neural Networks (CNN) with 1D feature extraction techniques to enhance diagnostic accuracy. Utilizing two extensive datasets, BCN20000 and… More >

  • Open Access

    ARTICLE

    Investigating the Role of Antimalarial Treatment and Mosquito Nets in Malaria Transmission and Control through Mathematical Modeling

    Azhar Iqbal Kashif Butt1,*, Tariq Ismaeel2,*, Sara Khan2, Muhammad Imran3, Waheed Ahmad2, Ismail Abdulrashid4, Muhammad Sajid Riaz5

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3463-3492, 2025, DOI:10.32604/cmes.2025.069277 - 30 September 2025

    Abstract Malaria is a significant global health challenge. This devastating disease continues to affect millions, especially in tropical regions. It is caused by Plasmodium parasites transmitted by female Anopheles mosquitoes. This study introduces a nonlinear mathematical model for examining the transmission dynamics of malaria, incorporating both human and mosquito populations. We aim to identify the key factors driving the endemic spread of malaria, determine feasible solutions, and provide insights that lead to the development of effective prevention and management strategies. We derive the basic reproductive number employing the next-generation matrix approach and identify the disease-free and… More >

  • Open Access

    ARTICLE

    Spatiotemporal Variability of Atmospheric Pollutants in Syria: A Multi-Year Assessment Using Sentinel-5P Data

    Almustafa Abd Elkader Ayek1, Bilel Zerouali2,*, Ankur Srivastava3, Mohannad Ali Loho4,5, Nadjem Bailek6,7, Celso Augusto Guimarães Santos8,9

    Revue Internationale de Géomatique, Vol.34, pp. 669-689, 2025, DOI:10.32604/rig.2025.067137 - 19 August 2025

    Abstract This study investigates the spatial and temporal dynamics of key air pollutants—nitrogen dioxide (NO2), carbon monoxide (CO), methane (CH4), formaldehyde (HCHO), and the ultraviolet aerosol index (UVAI)—over the period 2019–2024. Utilizing high-resolution remote sensing data from the Sentinel-5 Precursor satellite and its TROPOspheric Monitoring Instrument (TROPOMI) processed via Google Earth Engine (GEE), pollutant concentrations were analyzed, with spatial visualizations produced using ArcGIS Pro. The results reveal that urban and industrial hotspots—notably in Damascus, Aleppo, Homs, and Hama—exhibit elevated NO2 and CO levels, strongly correlated with population density, traffic, and industrial emissions. Temporal trends indicate significant pollutant fluctuations More > Graphic Abstract

    Spatiotemporal Variability of Atmospheric Pollutants in Syria: A Multi-Year Assessment Using Sentinel-5P Data

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