Honghui Sun^1,2,#, Ruichao Liu^1,2,#, Yueting Qi¹, Hongsheng Gao¹, Xueting Wang¹, Ning Jiang^1,2, Xiaotong Guo^1,2, Hongxia Zhang¹, Chunyan Yu^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.3, pp. 533-549, 2024, DOI:10.32604/phyton.2024.049417

Abstract Grapes, one of the oldest tree species globally, are rich in vitamins. However, environmental conditions such as low temperature and soil salinization significantly affect grape yield and quality. The glutamate receptor (GLR) family, comprising highly conserved ligand-gated ion channels, regulates plant growth and development in response to stress. In this study, 11 members of the VvGLR gene family in grapes were identified using whole-genome sequence analysis. Bioinformatic methods were employed to analyze the basic physical and chemical properties, phylogenetic trees, conserved domains, motifs, expression patterns, and evolutionary relationships. Phylogenetic and collinear analyses revealed that the VvGLRs were divided into three… More >

Yunhe Wang¹, Yuxin Xia², Shuai Liu^2,*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 4489-4507, 2024, DOI:10.32604/cmc.2024.048813

Abstract In recent years, skeleton-based action recognition has made great achievements in Computer Vision. A graph convolutional network (GCN) is effective for action recognition, modelling the human skeleton as a spatio-temporal graph. Most GCNs define the graph topology by physical relations of the human joints. However, this predefined graph ignores the spatial relationship between non-adjacent joint pairs in special actions and the behavior dependence between joint pairs, resulting in a low recognition rate for specific actions with implicit correlation between joint pairs. In addition, existing methods ignore the trend correlation between adjacent frames within an action and context clues, leading to… More >

WEI ZHENG¹, CHENG LIU^2,*

BIOCELL, Vol.48, No.2, pp. 293-301, 2024, DOI:10.32604/biocell.2023.044211

Abstract Objective: Intracranial aneurysm (IA) represents a devastating disease with high rates of disability and mortality, which is initiated by dysfunction of endothelial cells (ECs). Evidence suggests the dysregulation of the E3 ubiquitin ligase family during EC injury. In this work, the role of an E3 ubiquitin ligase, casitas B lymphoma-B (CBL-B), was explored in human brain microvascular EC (HBMEC) function through the NLRP3 pathway. Methods: In vitro IA model was induced by treating HBMECs with oxidized low-density lipoprotein (ox-LDL). The levels of CBL-B and pyroptosis-related proteins NLRP3, ASC, cleaved caspase-1, and GSDME-N were determined by real-time-quantitative polymerase chain reaction and… More >

JINJIN FU^1,#, XIAOYUE FENG^2,#, JUAN WEI², XIANG GENG¹, YU GONG¹, FENGDONG LI¹, SHAOHUA ZHUANG¹, JIN HUANG¹, FANGYU WANG^2,*

BIOCELL, Vol.47, No.12, pp. 2627-2639, 2023, DOI:10.32604/biocell.2023.042586

Abstract Background: This study aimed to elucidate the potential mechanisms through which bone marrow-derived mesenchymal stem cells (BM-MSCs) may be effective in alleviating experimental colitis induced by treatment with 2,4,6-trinitrobenzene-sulfonate acid (TNBS), specifically through autophagy modulation. Methods: BM-MSCs were collected from BALB/c mice for subsequent experiments. The study employed cell counting kits (CCK-8) to investigate the impact of the MSC-conditioned medium (M medium) on the proliferation of RAW264.7 macrophages. The GFP-mRFP-LC3 adenovirus was transfected into RAW264.7 to detect autophagic flux. The gene expression of cytokines was assessed through quantitative reverse transcription polymerase chain reaction (qRT-PCR). Western blot analysis was employed to… More >

WEI LU^1,*, KAN GUO², DIANMEI XI¹, ZHAOXIA XIA¹

BIOCELL, Vol.47, No.9, pp. 1995-2008, 2023, DOI:10.32604/biocell.2023.024591

Abstract Background: Mesenchymal stem cell (MSC)-derived exosomes are closely related to pyroptosis in diabetic nephropathy (DN). This study aimed to explore the protective effect of exosomal miR-30a-5p on podocyte pyroptosis in DN. Methods: Streptozotocin was used to establish the mouse model of DN. Human bone marrow MSC-derived exosomes were extracted and identified via transmission electron microscopy, nanoparticle tracking analysis, and western blotting. MiR-30a-5p mimics and non-control (NC) mimics were transfected into MSCs and podocytes, and exosomes were isolated from the MSCs. High glucose (HG)-induced podocyte model was established to determine the effect of exosomal miR-30a-5p on pyroptosis and inflammation in vitro.… More >

LONGSHENG FU¹, JINFANG HU¹, FENG SHAO², YAOQI WU¹, WEI BAI³, MINGJIN JIANG³, HAO CHEN⁴, LIHUA CHEN², YANNI LV^1,*

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 >

LI TIAN^1,#, YONGYI HUANG^1,#, BAOZHEN ZHANG^2,#, YI SONG^1,#, LIN YANG³, QIANQIAN CHEN¹, ZHENG WANG³, YILING WANG¹, QIHAN HE¹, WENHAN YANG¹, SHUYONG YU⁴, TIANYU LU⁵, ZICHEN LIU¹, KAIPING GAO^1,*, XIUJUN FAN^2,*, JIAN SONG^4,*, RIHONG ZHAI^1,*

Oncology Research, Vol.31, No.4, pp. 463-479, 2023, DOI:10.32604/or.2023.028791

Abstract Accumulating evidence has indicated that long non-coding RNAs (lncRNAs) play critical roles in the development and progression of cancers, including esophageal squamous cell carcinoma (ESCC). However, the mechanisms of lncRNAs in ESCC are still incompletely understood and therapeutic attempts for in vivo targeting cancer-associated lncRNA remain a challenge. By RNA-sequencing analysis, we identified that LLNLR-299G3.1 was a novel ESCC-associated lncRNA. LLNLR-299G3.1 was up-regulated in ESCC tissues and cells and promoted ESCC cell proliferation and invasion. Silencing of LLNLR-299G3.1 with ASO (antisense oligonucleotide) resulted in opposite effects. Mechanistically, LLNLR-299G3.1 bound to cancer-associated RNA binding proteins and regulated the expression of cancer-related… More >

Hala Ahmed¹, Hassan Soliman¹, Shaker El-Sappagh^2,3,4, Tamer Abuhmed^4,*, Mohammed Elmogy¹

Computer Systems Science and Engineering, Vol.46, No.3, pp. 2773-2795, 2023, DOI:10.32604/csse.2023.036371

Abstract The precise diagnosis of Alzheimer’s disease is critical for patient treatment, especially at the early stage, because awareness of the severity and progression risks lets patients take preventative actions before irreversible brain damage occurs. It is possible to gain a holistic view of Alzheimer’s disease staging by combining multiple data modalities, known as image fusion. In this paper, the study proposes the early detection of Alzheimer’s disease using different modalities of Alzheimer’s disease brain images. First, the preprocessing was performed on the data. Then, the data augmentation techniques are used to handle overfitting. Also, the skull is removed to lead… More >

D. Vidyabharathi^1,*, V. Mohanraj²

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2559-2573, 2023, DOI:10.32604/iasc.2023.032255

Abstract For training the present Neural Network (NN) models, the standard technique is to utilize decaying Learning Rates (LR). While the majority of these techniques commence with a large LR, they will decay multiple times over time. Decaying has been proved to enhance generalization as well as optimization. Other parameters, such as the network’s size, the number of hidden layers, dropouts to avoid overfitting, batch size, and so on, are solely based on heuristics. This work has proposed Adaptive Teaching Learning Based (ATLB) Heuristic to identify the optimal hyperparameters for diverse networks. Here we consider three architectures Recurrent Neural Networks (RNN),… More >

Francisco José García-Peñalvo^*, Andrea Vázquez-Ingelmo, Alicia García-Holgado

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1023-1051, 2023, DOI:10.32604/cmes.2023.023897

Abstract The exponential use of artificial intelligence (AI) to solve and automated complex tasks has catapulted its popularity generating some challenges that need to be addressed. While AI is a powerful means to discover interesting patterns and obtain predictive models, the use of these algorithms comes with a great responsibility, as an incomplete or unbalanced set of training data or an unproper interpretation of the models’ outcomes could result in misleading conclusions that ultimately could become very dangerous. For these reasons, it is important to rely on expert knowledge when applying these methods. However, not every user can count on this… More > Graphic Abstract