Yunhong Zhang^1,2,*, Yonghui Yang^1,2, Jiawei Mao^1,2

Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 185-212, 2024, DOI:10.32604/phyton.2023.046811

Abstract Alginate oligosaccharides (AOS) enhance drought resistance in wheat (Triticum aestivum L.), but the definite mechanisms remain largely unknown. The physiological and transcriptome responses of wheat seedlings treated with AOS were analyzed under drought stress simulated with polyethylene glycol-6000. The results showed that AOS promoted the growth of wheat seedlings and reduced oxidative damage by improving peroxidase and superoxide dismutase activities under drought stress. A total of 10,064 and 15,208 differentially expressed unigenes (DEGs) obtained from the AOS treatment and control samples at 24 and 72 h after dehydration, respectively, were mainly enriched in the biosynthesis of secondary metabolites (phenylpropanoid biosynthesis,… More >

Jingtao Hu¹, Wenjing Chen¹, Yanyan Duan¹, Yingjing Ru¹, Wenqing Cao¹, Pingwei Xiang², Chengzhi Huang², Li Zhang², Jingsheng Chen¹, Liping Gan^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 227-245, 2024, DOI:10.32604/phyton.2024.046521

Abstract Abiotic stress, including flooding, seriously affects the normal growth and development of plants. Mulberry (Morus alba), a species known for its flood resistance, is cultivated worldwide for economic purposes. The transcriptomic analysis has identified numerous differentially expressed genes (DEGs) involved in submergence tolerance in mulberry plants. However, a comprehensive analyses of metabolite types and changes under flooding stress in mulberry remain unreported. A non-targeted metabolomic analysis utilizing liquid chromatography-tandem mass spectrometry (LC-MS/MS) was conducted to further investigate the effects of flooding stress on mulberry. A total of 1,169 metabolites were identified, with 331 differentially accumulated metabolites (DAMs) exhibiting up-regulation in… More >

Yanmei Li^1,*, Jinghong Tang¹, Weiwu Ding¹, Jian Luo², Naveed Ahmad³, Rajesh Kumar⁴

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 713-733, 2024, DOI:10.32604/cmc.2023.046872

Abstract Alzheimer’s disease (AD) is a complex, progressive neurodegenerative disorder. The subtle and insidious onset of its pathogenesis makes early detection of a formidable challenge in both contemporary neuroscience and clinical practice. In this study, we introduce an advanced diagnostic methodology rooted in the Med-3D transfer model and enhanced with an attention mechanism. We aim to improve the precision of AD diagnosis and facilitate its early identification. Initially, we employ a spatial normalization technique to address challenges like clarity degradation and unsaturation, which are commonly observed in imaging datasets. Subsequently, an attention mechanism is incorporated to selectively focus on the salient… More >

Yu Huang¹, Beilei Liu¹, Dianlei Feng^2,*, Hao Shi¹

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1679-1699, 2024, DOI:10.32604/cmes.2023.044094

Abstract Rigid barrier deflectors can effectively prevent overspilling landslides, and can satisfy disaster prevention requirements. However, the mechanisms of interaction between natural granular flow and rigid barrier deflectors require further investigation. To date, few studies have investigated the impact of deflectors on controlling viscous debris flows for geological disaster prevention. To investigate the effect of rigid barrier deflectors on impact mechanisms, a numerical model using the smoothed particle hydrodynamics (SPH) method with the Herschel–Bulkley model is proposed to simulate the interaction between natural viscous flow and single/dual barriers with and without deflectors. This model was validated using laboratory flume test data… More > Graphic Abstract

Karim Ragui¹, Mengshuai Chen^1,2, Lin Chen^1,2,3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-2, 2023, DOI:10.32604/icces.2023.010378

Abstract The ambiguous dynamics associated with heat and mass transfer of invading carbon dioxide in sub-critical and supercritical states, as well as the response of pore-scale resident fluids, play a key role in understanding CO₂ capture and storage (CCUS) and the corresponding phase equilibrium mechanisms. To this end, this paper reveals the transport mechanisms of invading supercritical carbon dioxide (sCO₂) in polluted micromodels using a variant of Lattice-Boltzmann Color Fluid model and descriptive experimental data. The breakthrough time is evaluated by characterizing the displacement velocity, the capillary to pressuredifference ratio, and the transient heat and mass diffusion at a series of… More >

Muhammad Mumtaz Ali, Faiqa Maqsood, Shiqi Liu, Weiyan Hou, Liying Zhang, Zhenfei Wang^*

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2699-2714, 2023, DOI:10.32604/cmc.2023.045310

Abstract Breast cancer, particularly Invasive Ductal Carcinoma (IDC), is a primary global health concern predominantly affecting women. Early and precise diagnosis is crucial for effective treatment planning. Several AI-based techniques for IDC-level classification have been proposed in recent years. Processing speed, memory size, and accuracy can still be improved for better performance. Our study presents ECAM, an Enhanced Channel-Wise Attention Mechanism, using deep learning to analyze histopathological images of Breast Invasive Ductal Carcinoma (BIDC). The main objectives of our study are to enhance computational efficiency using a Separable CNN architecture, improve data representation through hierarchical feature aggregation, and increase accuracy and… More >

WEILING ZHANG^1,2, YONG LI², CAN ZHANG², QING HAN², YU ZHANG², AIQIN HE², WEIPEI ZHU^1,*

BIOCELL, Vol.47, No.12, pp. 2697-2708, 2023, DOI:10.32604/biocell.2023.044314

Abstract Background: This study aimed to explore the expression, function, and molecular mechanism of ANXA8, the gene for annexin 8, in cervical cancer. Methods: The gene expression of the ANX family members in cervical cancer tissues was classified via The Cancer Genome Atlas (TCGA) database. The expression of ANXA8 in paracancerous tissues, cervical cancer tissues, and cell lines was identified by fluorescence quantitative polymerase chain reaction (PCR) and immunohistochemistry. The effects of ANXA8 knockdown on the cellular growth and cell invasion of cervical cancer were examined by MTT, clone-formation assay, scratch test, and Transwell assay. The effect of ANXA8 knockdown on… More >

Junjie Chen^*, Longfei Yan, Wenya Song

Frontiers in Heat and Mass Transfer, Vol.5, pp. 1-6, 2014, DOI:10.5098/hmt.5.16

Abstract To understand the effect of different thermal conductivities on catalytic combustion characteristics, effect of thermal conductivity on micro-combustion characteristics of hydrogen-air mixtures in Pt/γ-Al₂O₃ catalytic micro-combustors were investigated numerically with detailed chemical kinetics mechanisms. Three kinds of wall materials (100, 7.5, and 0.5 W/m·K) were selected to investigate the effect of heat conduction on the catalytic combustion. The simulation results indicate that the catalytic reaction restrains the gas phase reaction in Pt/γ-Al₂O₃ catalytic micro-combustors. The gas phase reaction restrained by Pt/γ-Al₂O₃ catalysts is sensitive to thermal boundary condition at the wall. For most conditions, the gas phase reaction cannot be… More >

AMYLLY SANUELLY DA PAZ MARTINS^1,#, MARLA DE CERQUEIRA ALVES^2,#, ORLANDO ROBERTO PIMENTEL DE ARAÚJO³, FABIANA OLIVEIRA DOS SANTOS CAMATARI⁴, MARÍLIA OLIVEIRA FONSECA GOULART^1,3,5, FABIANA ANDRÉA MOURA^2,6,*

BIOCELL, Vol.47, No.11, pp. 2547-2566, 2023, DOI:10.32604/biocell.2023.043253

Abstract

Curcumin, a natural product, has exhibited promising effects in both animal models and clinical trials, interacting with a multitude of factors linked to Inflammatory Bowel Disease (IBD). These factors encompass cytokines, oxidative stress-associated enzymes, and modulation of the intestinal microbiota. Notably, curcumin has demonstrated therapeutic potential in animal models of colitis, wherein it exerts a negative regulatory influence on pivotal signaling pathways such as PI3/Akt, JAK/STAT, and β-catenin. Moreover, it inhibits the expression of pro-inflammatory enzymes and co-stimulatory molecules (including RANKL, ICAM-1, CD205, CD256, TLR4, among others), while curbing immune cell chemotaxis, thereby attenuating the characteristic neutrophil infiltration observed in… More > Graphic Abstract

P. Kalaiselvi^1,*, S. Anusuya²

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1209-1226, 2023, DOI:10.32604/cmc.2023.040264

Abstract In recent days, Deep Learning (DL) techniques have become an emerging transformation in the field of machine learning, artificial intelligence, computer vision, and so on. Subsequently, researchers and industries have been highly endorsed in the medical field, predicting and controlling diverse diseases at specific intervals. Liver tumor prediction is a vital chore in analyzing and treating liver diseases. This paper proposes a novel approach for predicting liver tumors using Convolutional Neural Networks (CNN) and a depth-based variant search algorithm with advanced attention mechanisms (CNN-DS-AM). The proposed work aims to improve accuracy and robustness in diagnosing and treating liver diseases. The… More >