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Search Results (9)
  • Open Access

    ARTICLE

    Preparation of ZnS-Carbon nanotube nanocomposites via solvothermal method and their application in electrochemical detection of escherichia coli O157:H7

    F. F. Tonga,*, J. L. Hanb

    Chalcogenide Letters, Vol.22, No.8, pp. 719-733, 2025, DOI:10.15251/CL.2025.228.719

    Abstract In this study, hierarchical ZnS–CNT hybrids were synthesized via a solvothermal reaction at 180 °C for 48 h, producing ∼200 nm ZnS spheres uniformly anchored onto oxidized multiwalled carbon nanotubes. Structural analyses by XRD confirmed the cubic sphalerite phase, while SEM and TEM revealed a “pearl-necklace” morphology and effective nanoparticle dispersion. XPS spectra verified Zn2+ and oxygen-containing surface groups on the composite. Nitrogen adsorption–desorption measurements showed that incorporating CNTs transformed the material’s isotherm from type III to type IV, increasing the BET surface area from 68 to 155 m2 /g and introducing mesoporosity. When drop-cast onto More >

  • Open Access

    ARTICLE

    Allelopathic Effects of Plant Fallen Leaves Extract on the Growth and Physiology of Thuidium kanedae

    Fang Liao, Xiurong Wang*, Muyan Xie, Lixin Duan

    Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3667-3686, 2025, DOI:10.32604/phyton.2025.069653 - 01 December 2025

    Abstract Bryophytes play important ecological roles in terrestrial ecosystems, but their growth is often influenced by environmental factors and chemical interactions with surrounding vegetation. Fallen leaves are an important source of allelopathic substances, yet little is known about their impact on mosses. This study investigates the allelopathic effects of fallen leaves from Cinnamomum camphora, Pinus massoniana, and Bambusa emeiensis on the bryophyte Thuidium kanedae in Guiyang. The litter aqueous extract (0.0125 g/mL (T1), 0.025 g/mL (T2), 0.05 g/mL (T3), 0.1 g/mL (T4) and distilled water control (CK)) was used to regularly water and culture T. kanedae. During the 120-day test period,… More >

  • Open Access

    REVIEW

    Cancer stem cell specificity as new targets in breast tumor treatment

    ZHIZHENG ZHANG1,#, TAO LI2,#, YUAN LI3, XI WANG4, HAO LIU5, XINYU SHEN5, ANN XU6, TIANSONG XIA1,*, BO XU7,*

    Oncology Research, Vol.33, No.4, pp. 811-819, 2025, DOI:10.32604/or.2024.050505 - 19 March 2025

    Abstract Background: Breast cancer is a prevalent malignant tumor affecting females, with treatment options including surgery, radiotherapy, chemotherapy, and endocrine therapy. Methods: This review synthesizes existing literature on breast cancer stem cells and their applications in breast cancer treatment. PubMed, Web of Science, and other relevant databases were systematically searched using keywords such as “breast cancer stem cells,” “immunotherapy,” “gene therapy,” and “cell therapy.” Studies published in English were included, and their findings were analyzed to provide insights into the characteristics and therapeutic potential of breast cancer stem cells. Results: Breast cancer stem cells exhibit unique properties More >

  • Open Access

    ARTICLE

    Classification of Electroencephalogram Signals Using LSTM and SVM Based on Fast Walsh-Hadamard Transform

    Saeed Mohsen1,2,*, Sherif S. M. Ghoneim3, Mohammed S. Alzaidi3, Abdullah Alzahrani3, Ashraf Mohamed Ali Hassan4

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5271-5286, 2023, DOI:10.32604/cmc.2023.038758 - 29 April 2023

    Abstract Classification of electroencephalogram (EEG) signals for humans can be achieved via artificial intelligence (AI) techniques. Especially, the EEG signals associated with seizure epilepsy can be detected to distinguish between epileptic and non-epileptic regions. From this perspective, an automated AI technique with a digital processing method can be used to improve these signals. This paper proposes two classifiers: long short-term memory (LSTM) and support vector machine (SVM) for the classification of seizure and non-seizure EEG signals. These classifiers are applied to a public dataset, namely the University of Bonn, which consists of 2 classes –seizure and… More >

  • Open Access

    ARTICLE

    Reducing Dataset Specificity for Deepfakes Using Ensemble Learning

    Qaiser Abbas1, Turki Alghamdi1, Yazed Alsaawy1, Tahir Alyas2,*, Ali Alzahrani1, Khawar Iqbal Malik3, Saira Bibi4

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 4261-4276, 2023, DOI:10.32604/cmc.2023.034482 - 31 October 2022

    Abstract The emergence of deep fake videos in recent years has made image falsification a real danger. A person’s face and emotions are deep-faked in a video or speech and are substituted with a different face or voice employing deep learning to analyze speech or emotional content. Because of how clever these videos are frequently, Manipulation is challenging to spot. Social media are the most frequent and dangerous targets since they are weak outlets that are open to extortion or slander a human. In earlier times, it was not so easy to alter the videos, which… More >

  • Open Access

    ARTICLE

    PPARγ LBD and its ligand specificity reveal a selection of potential partial agonist: Molecular dynamics based T2D drug discovery initiative

    BIDYUT MALLICK1,#, ASHISH RANJAN SHARMA2,#, MANOJIT BHATTACHARYA3, SANG-SOO LEE1,*, CHIRANJIB CHAKRABORTY4,*

    BIOCELL, Vol.45, No.4, pp. 953-961, 2021, DOI:10.32604/biocell.2021.015530 - 22 April 2021

    Abstract PPARγ is a peroxisome proliferator-activated receptor (PPAR) family protein and is a target for type 2 diabetes (T2D). In this paper, we have performed a molecular docking analysis between ligand molecules (CID9816265, CID11608015, CID20251380, CID20251343, CID20556263, CID624491, CID42609928, and CID86287562) and PPARγ to determine the ligand specificity. It also helps to understand the ligand-binding domain (LBD) activity of PPARγ during the binding of the ligand. Further, a molecular dynamics simulation study was performed to determine the ligand biding stability in the PPARγ LBD. Its ligand specificity informed us about the potentiality of selecting a partial… More >

  • Open Access

    RETRACTION

    MicroRNA-296 Targets Specificity Protein 1 to Suppress Cell Proliferation and Invasion in Cervical Cancer [Oncology Research 26(5) (2018) 775–783]

    Lili Lv*, Xiaodong Wang

    Oncology Research, Vol.28, No.7-8, pp. 835-835, 2020, DOI:10.3727/096504021X16261699250204

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    MicroRNA-296 Targets Specificity Protein 1 to Suppress Cell Proliferation and Invasion in Cervical Cancer

    Lili Lv*, Xiaodong Wang

    Oncology Research, Vol.26, No.5, pp. 775-783, 2018, DOI:10.3727/096504017X15132494420120

    Abstract Cervical cancer is the third most commonly diagnosed malignancy and the fourth leading cause of cancer-related deaths in women worldwide. MicroRNA-296 (miR-296) is aberrantly expressed in a variety of human cancer types. However, the expression levels, biological roles, and underlying molecular mechanisms of miR-296 in cervical cancer remain unclear. This study aimed to detect miR-296 expression in cervical cancer and evaluate its roles and underlying mechanisms in cervical cancer. This study demonstrated that miR-296 was significantly downregulated in cervical cancer tissues and cell lines. Restoring the expression of miR-296 inhibited the proliferation and invasion of More >

  • Open Access

    ARTICLE

    A validation study of new decision algorithms for interpretation of cancer significance on prostate systematic biopsy

    Gerald O. Ogola1, Nicolas Delongchamps2,3, Robert Serfling4

    Canadian Journal of Urology, Vol.24, No.2, pp. 8721-8727, 2017

    Abstract Introduction: To test with actual data a new decision algorithm derived by probability modeling of the number of positive cores, for deciding insignificant versus significant prostate cancer, based on prostate volume, Gleason score, tumor length on biopsy cores, and number of positive cores.
    Materials and methods: A dataset of 59 cancer-involved autopsied prostate glands from patients aged 42 to 92 years with prostate volumes of 22 cc to 95 cc was used. An 18 core-systematic biopsy was performed on the first 47 patients, and saturation biopsy protocol of 36 cores was performed on the remainder. Clinically insignificant… More >

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