Xiaojie Jiang¹, Xin Li¹, Yining Xu¹, Dong Sun¹, Julien S. Baker², Yaodong Gu^1,3,*

Molecular & Cellular Biomechanics, Vol.20, No.2, pp. 67-79, 2023, DOI:10.32604/mcb.2023.042910

Abstract

The aim of this study was to investigate whether kinematic data during a countermovement jump (CMJ) could explain the post-activation performance enhancement (PAPE) effects following acute resistance exercise. Twenty-four male participants with resistance training and jumping experience were recruited and randomly assigned to either the experimental group (PAPE-stimulus) (n = 12) or the control group (n = 12). In the experimental group, participants performed 5 reps of squats at 80% 1RM to induce PAPE, while the control group received no intervention. Both groups performed three CMJ tests before (PRE) and at immediate (POST0), 4 (POST4), 8 (POST8), and 12 (POST12)… More > Graphic Abstract

DONGYE YANG^1,#,*, DONGDONG GUO^2,3,#, YUNMEI PENG², DONGMENG LIU¹, YANQIU FU¹, FEN SUN², LISHI ZHOU¹, JIAQI GUO¹, LAIQING HUANG^2,3,*

BIOCELL, Vol.47, No.9, pp. 2037-2049, 2023, DOI:10.32604/biocell.2023.028863

Abstract Introduction: Sulfatase 2 (SULF2), an endogenous extracellular sulfatase, can remove 6-O-sulfate groups of glucosamine residues from heparan sulfate (HS) chains to modulate the Wnt/β-catenin signaling pathway, which plays an important role in both liver carcinogenesis and embryogenesis. Side population (SP) cells are widely identified as stem-like cancer cells and are closely related to carcinoma metastasis, recurrence, and poor patient prognosis. However, the roles of SULF2 in SP cells of hepatomas are unclear, and the underlying mechanism is undefined. Objectives: This study aimed to compare the heterogeneity between SP cells and non-side population (NSP) cells derived from three different liver cancer… More > Graphic Abstract

Lu Wei, Zhong Ma^*, Chaojie Yang

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 981-1000, 2024, DOI:10.32604/cmes.2023.027085

Abstract The demand for adopting neural networks in resource-constrained embedded devices is continuously increasing. Quantization is one of the most promising solutions to reduce computational cost and memory storage on embedded devices. In order to reduce the complexity and overhead of deploying neural networks on Integer-only hardware, most current quantization methods use a symmetric quantization mapping strategy to quantize a floating-point neural network into an integer network. However, although symmetric quantization has the advantage of easier implementation, it is sub-optimal for cases where the range could be skewed and not symmetric. This often comes at the cost of lower accuracy. This… More > Graphic Abstract

BIN ZHANG^1,#, JIANYI ZHAO^3,#, YONGZHI WANG^2,#, HUA XU¹, BO GAO¹, GUANGNING ZHANG¹, BIN HAN¹, GUOHONG SONG¹, JUNCHEN ZHANG^1,*, WEI MENG^1,*

Oncology Research, Vol.31, No.6, pp. 917-927, 2023, DOI:10.32604/or.2023.030425

Abstract Glioblastoma (GBM) is the most aggressive cancer of the brain and has a high mortality rate due to the lack of effective treatment strategy. Clarification of molecular mechanisms of GBM’s characteristic invasive growth are urgently needed to improve the poor prognosis. Single-nuclear sequencing of primary and recurrent GBM samples revealed that levels of M3 muscarinic acetylcholine receptor (CHRM3) were significantly higher in the recurrent samples than in the primary samples. Moreover, immunohistochemical staining of an array of GBM samples showed that high levels of CHRM3 correlated with poor prognosis, consistent with The Cancer Genome Atlas database. Knockdown of CHRM3 inhibited… More >

Hengyang Liu, Chuncheng Huang^*

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1745-1761, 2023, DOI:10.32604/cmc.2023.040710

Abstract In the field of medical images, pixel-level labels are time-consuming and expensive to acquire, while image-level labels are relatively easier to obtain. Therefore, it makes sense to learn more information (knowledge) from a small number of hard-to-get pixel-level annotated images to apply to different tasks to maximize their usefulness and save time and training costs. In this paper, using Pixel-Level Labeled Images for Multi-Task Learning (PLDMLT), we focus on grading the severity of fundus images for Diabetic Retinopathy (DR). This is because, for the segmentation task, there is a finely labeled mask, while the severity grading task is without classification… More >

Nosheen Fatima¹, Nabeela Kousar¹, Khalil Ur Rehman^2,3,*, Wasfi Shatanawi^2,4,5

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2311-2330, 2023, DOI:10.32604/cmes.2023.026994

Abstract A computational analysis of magnetized hybrid Darcy-Forchheimer nanofluid flow across a flat surface is presented in this work. For the study of heat and mass transfer aspects viscous dissipation, activation energy, Joule heating, thermal radiation, and heat generation effects are considered. The suspension of nanoparticles singlewalled carbon nanotubes (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) are created by hybrid nanofluids. However, single-walled carbon nanotubes (SWCNTs) produce nanofluids, with water acting as conventional fluid, respectively. Nonlinear partial differential equations (PDEs) that describe the ultimate flow are converted to nonlinear ordinary differential equations (ODEs) using appropriate similarity transformation. The ODEs are dealt with… More >

MASANORI KAWANO, KAZUHIRO TANAKA^*, ICHIRO ITONAGA, TATSUYA IWASAKI, YUTA KUBOTA, HIROSHI TSUMURA

Oncology Research, Vol.31, No.5, pp. 631-643, 2023, DOI:10.32604/or.2023.029745

Abstract Heat shock protein (HSP) 90 plays a crucial role in correcting the misfolded three-dimensional structure of proteins, assisting them in folding into proper conformations. HSP90 is critical in maintaining the normal functions of various proteins within cells, as essential factors for cellular homeostasis. Contrastingly, HSP90 simultaneously supports the maturation of cancer-related proteins, including mesenchymal epithelial transition factor (MET) within tumor cells. All osteosarcoma cell lines had elevated MET expression in the cDNA array in our possession. MET, a tyrosine kinase receptor, promotes proliferation and an anti-apoptotic state through the activation of the MET pathway constructed by HSP90. In this study,… More > Graphic Abstract

TIANYING CAI^1,2, JUNJIE BAI¹, PENG TAN³, ZHIWEI HUANG¹, CHEN LIU¹, ZIMING WU¹, YONGLANG CHENG¹, TONGXI LI¹, YIFAN CHEN¹, JIAN RUAN⁴, LIN GAO⁵, YICHAO DU^3,*, WENGUANG FU^1,3,*

Oncology Research, Vol.31, No.5, pp. 805-817, 2023, DOI:10.32604/or.2023.029549

Abstract Hepatocellular carcinoma (HCC) is a common malignancy that is driven by multiple genes and pathways. The aim of this study was to investigate the role and specific mechanism of the actin-interacting protein zyxin (ZYX) in HCC. We found that the expression of ZYX was significantly higher in HCC tissues compared to that in normal liver tissues. In addition, overexpression of ZYX in hepatoma cell lines (PLC/PRF/5, HCCLM3) enhanced their proliferation, migration and invasion, whereas ZYX knockdown had the opposite effects (SK HEP-1, Huh-7). Furthermore, the change in the expression levels of ZYX also altered that of proteins related to cell… More >

N. Vijaya^a,*, S. M. Arifuzzaman^b, N. Raghavendra Sai^c, Ch. Manikya Rao^d

Frontiers in Heat and Mass Transfer, Vol.15, pp. 1-9, 2020, DOI:10.5098/hmt.15.26

Abstract The upfront intension of this study is to explore the advances in electrically conducting Casson fluid induced due to a porous elongated surface taking Arrhenius activation energy, viscous dissipation and joule heating into account. Uniform magnetic and electric fields are imposed on the given flow. Variables of similarity are induced to transmute partial differential equations into dimensionless equations and resolved numerically by elegant method bvp4c. To scrutinize the behavior of critical parameters on flow configurations graphs and table are portrayed. From graphical moments, it is analyzed that velocity of the liquid diminish for advanced values of non-Newtonian rheology parameter, magnetic… More >

Hyunkyu Shin¹, Yonghan Ahn², Mihwa Song³, Heungbae Gil³, Jungsik Choi^4,*, Sanghyo Lee^5,*

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 4753-4766, 2023, DOI:10.32604/cmc.2023.038362

Abstract Recently, convolutional neural network (CNN)-based visual inspection has been developed to detect defects on building surfaces automatically. The CNN model demonstrates remarkable accuracy in image data analysis; however, the predicted results have uncertainty in providing accurate information to users because of the “black box” problem in the deep learning model. Therefore, this study proposes a visual explanation method to overcome the uncertainty limitation of CNN-based defect identification. The visual representative gradient-weights class activation mapping (Grad-CAM) method is adopted to provide visually explainable information. A visualizing evaluation index is proposed to quantitatively analyze visual representations; this index reflects a rough estimate… More >