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  • Open Access


    SENEX-mediated CDK4/6 inhibition promotes senescence and confers apoptosis resistance in B-cell non-Hodgkin lymphoma


    BIOCELL, Vol.48, No.3, pp. 453-462, 2024, DOI:10.32604/biocell.2024.047871

    Abstract Background: The primary cause of treatment failure in patients with refractory or relapsed B-cell non-Hodgkin lymphoma (r/r B-NHL) is resistance to current therapies, and therapy-induced senescence (TIS) stands out as a crucial mechanism contributing to tumor drug resistance. Here, we analyzed SENEX/Rho GTPase Activating Protein 18 (ARHGAP18) expression and prognostic significance in doxorubicin-induced B-NHL-TIS model and r/r B-NHL patients, investigating its target in B-NHL cell senescence and the effect of combining specific inhibitors on apoptosis resistance in B-NHL-TIS cells. Methods: Raji cells were transfected with the human SENEX shRNA recombinant lentiviral vector (Sh-SENEX) and the empty vector negative (NC) to… More >

  • Open Access


    Optimized Deep Learning Approach for Efficient Diabetic Retinopathy Classification Combining VGG16-CNN

    Heba M. El-Hoseny1,*, Heba F. Elsepae2, Wael A. Mohamed2, Ayman S. Selmy2

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1855-1872, 2023, DOI:10.32604/cmc.2023.042107

    Abstract Diabetic retinopathy is a critical eye condition that, if not treated, can lead to vision loss. Traditional methods of diagnosing and treating the disease are time-consuming and expensive. However, machine learning and deep transfer learning (DTL) techniques have shown promise in medical applications, including detecting, classifying, and segmenting diabetic retinopathy. These advanced techniques offer higher accuracy and performance. Computer-Aided Diagnosis (CAD) is crucial in speeding up classification and providing accurate disease diagnoses. Overall, these technological advancements hold great potential for improving the management of diabetic retinopathy. The study’s objective was to differentiate between different classes of diabetes and verify the… More >

  • Open Access


    Overexpression of β-1,4-Glucanase Gene EuEG1 Improves Micrografting of Eucommia ulmoides

    Lei Wang1, Runying Wang1, Yi Li3, Yichen Zhao1,*, Degang Zhao1,2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 3063-3075, 2023, DOI:10.32604/phyton.2023.043803

    Abstract Adventitious root formation poses a major constraint on the tissue culture and genetic transformation of Eucommia ulmoides. Micrografting offers a new method for the transplantation of genetic transformation, and its success depends on the formation of graft unions. This study used transgenic rootless test-tube seedlings as scions and seedlings from seed as rootstocks during micrografting to avoid the rooting issues that occur during tissue culture and to investigate the role of the EuEG1 gene in the graft healing process. We found that the EuEG1 gene is a vital regulator of graft, and its overexpression contributes to the survival of Eucommia… More >

  • Open Access


    Biochanin A, as the Lrg1/TGF-β/Smad2 pathway blockade, attenuates blood-brain barrier damage after cerebral ischemia-reperfusion by modulating leukocyte migration patterns


    BIOCELL, Vol.47, No.8, pp. 1869-1883, 2023, DOI:10.32604/biocell.2023.028602

    Abstract Background: Biochanin A is an excellent dietary isoflavone that has the concomitant function of both medicine and foodstuff. The attenuation function of biochanin A on blood-brain barrier (BBB) damage induced by cerebral ischemia-reperfusion remains unclear. Methods: C57BL/6 mice were subjected to 1 h middle cerebral artery occlusion (MCAO) followed by 24 h reperfusion. The infarct volume of the brain was stained by TTC, while leakage of the brain was quantitatively stained by Evans blue, and the neurologic deficit score was measured. Microglial-induced morphologic changes were observed via immunofluorescence staining, and rolling and adhering leukocytes in venules were observed via two-photon… More >

  • Open Access


    Parameterization Transfer for a Planar Computational Domain in Isogeometric Analysis

    Jinlan Xu*, Shuxin Xiao, Gang Xu, Renshu Gu

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1957-1973, 2023, DOI:10.32604/cmes.2023.028665

    Abstract In this paper, we propose a parameterization transfer algorithm for planar domains bounded by B-spline curves, where the shapes of the planar domains are similar. The domain geometries are considered to be similar if their simplified skeletons have the same structures. One domain we call source domain, and it is parameterized using multi-patch B-spline surfaces. The resulting parameterization is C1 continuous in the regular region and G1 continuous around singular points regardless of whether the parameterization of the source domain is C1/G1 continuous or not. In this algorithm, boundary control points of the source domain are extracted from its parameterization… More >

  • Open Access


    Ginsenoside Rg1 protects against ischemia-induced neuron damage by regulating the rno-miRNA-27a-3p/PPARγ axis


    BIOCELL, Vol.47, No.7, pp. 1583-1594, 2023, DOI:10.32604/biocell.2023.028016

    Abstract Background: A preliminary miRNA screening showed that expression levels of rno-miRNA-27a-3p were significantly increased in the serum and brain tissues of rats undergoing cerebral ischemia. In recent years, there is evidence of the protective capacity of the saponins extracted from panax ginseng and its primary active ingredient ginsenosideRg1oncerebral ischemic injury. Methods: Fetal rat neurons (FRNs) were cultured in glucose-and-serum-free medium and exposed to hypoxia to establish a cerebral ischemia model in vitro (oxygen and glucose deprivation model, OGD). Antioxidant indexes (CAT, SOD), inflammatory markers (MPO, TNF-α and IL-6), and the expression of apoptosis and proliferation associated proteins (NF kB-p65, Caspase… More >

  • Open Access


    Predicting Lumbar Spondylolisthesis: A Hybrid Deep Learning Approach

    Deepika Saravagi1, Shweta Agrawal2,*, Manisha Saravagi3, Sanjiv K. Jain4, Bhisham Sharma5, Abolfazl Mehbodniya6,*, Subrata Chowdhury7, Julian L. Webber6

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2133-2151, 2023, DOI:10.32604/iasc.2023.039836

    Abstract Spondylolisthesis is a chronic disease, and a timely diagnosis of it may help in avoiding surgery. Disease identification in x-ray radiographs is very challenging. Strengthening the feature extraction tool in VGG16 has improved the classification rate. But the fully connected layers of VGG16 are not efficient at capturing the positional structure of an object in images. Capsule network (CapsNet) works with capsules (neuron clusters) rather than a single neuron to grasp the properties of the provided image to match the pattern. In this study, an integrated model that is a combination of VGG16 and CapsNet (S-VCNet) is proposed. In the… More >

  • Open Access


    Identification of Tuberculosis and Coronavirus Patients Using Hybrid Deep Learning Models

    Mohammed A. Al Ghamdi*

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 881-894, 2023, DOI:10.32604/cmc.2023.037826

    Abstract Considerable resources, technology, and efforts are being utilized worldwide to eradicate the coronavirus. Although certain measures taken to prevent the further spread of the disease have been successful, efforts to completely wipe out the coronavirus have been insufficient. Coronavirus patients have symptoms similar to those of chest Tuberculosis (TB) or pneumonia patients. Chest tuberculosis and coronavirus are similar because both diseases affect the lungs, cause coughing and produce an irregular respiratory system. Both diseases can be confirmed through X-ray imaging. It is a difficult task to diagnose COVID-19, as coronavirus testing kits are neither excessively available nor very reliable. In… More >

  • Open Access


    DDG1 and G Protein α Subunit RGA1 Interaction Regulates Plant Height and Senescence in Rice (Oryza sativa)

    Xi Liu1,2,#,*, Chuxuan Zhao2,#, Di Wang3,#, Gen Pan4, Xiaonan Ji2, Su Gao2, Tanxiao Du2, Yating Feng2, Wenjing Chen2

    Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2051-2064, 2023, DOI:10.32604/phyton.2023.028196

    Abstract Many studies have already shown that dwarfism and moderate delayed leaf senescence positively impact rice yield, but the underlying molecular mechanism of dwarfism and leaf senescence remains largely unknown. Here, using map-based cloning, we identified an allele of DEP2, DDG1, which controls plant height and leaf senescence in rice. The ddg1 mutant displayed dwarfism, short panicles, and delayed leaf senescence. Compared with the wild-type, ddg1 was insensitive to exogenous gibberellins (GA) and brassinolide (BR). DDG1 is expressed in various organs, especially in stems and panicles. Yeast two-hybrid assay, bimolecular fluorescent complementation and luciferase complementation image assay showed that DDG1 interacts… More >

  • Open Access


    HIUNET: A Hybrid Inception U-Net for Diagnosis of Diabetic Retinopathy

    S. Deva Kumar, S. Venkatramaphanikumar*, K. Venkata Krishna Kishore

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1013-1032, 2023, DOI:10.32604/iasc.2023.038165

    Abstract Type 2 diabetes patients often suffer from microvascular complications of diabetes. These complications, in turn, often lead to vision impairment. Diabetic Retinopathy (DR) detection in its early stage can rescue people from long-term complications that could lead to permanent blindness. In this study, we propose a complex deep convolutional neural network architecture with an inception module for automated diagnosis of DR. The proposed novel Hybrid Inception U-Net (HIUNET) comprises various inception modules connected in the U-Net fashion using activation maximization and filter map to produce the image mask. First, inception blocks were used to enlarge the model’s width by substituting… More >

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