ZiQi Zhao, MingYang Xu, ChaoYang Sun, PeiPei Li^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012382

Abstract Hot isostatic pressing (HIP) is often utilized to obtain laser powder bed fused (LPBF) Ti-6Al-4V with good mechanical properties. To uncover the underlying mechanisms by which HIP improves the mechanical properties, several mechanisms are considered and examined against experimental data sets available in the literature. The results suggest that HIP improves mechanical properties by both reducing defect sizes below a critical threshold and altering the microstructure surrounding defects. Based on these findings, a pore healing model was developed, and optimized HIP processing parameter range (temperature, pressure, and soaking time) were proposed. Severe plastic deformation driven… More >

Haiyan Long¹, Chonghao Zhang², Xudong Qiu³, Hai Chen^2,*, Gang Chen^4,*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2975-2988, 2025, DOI:10.32604/cmc.2025.065047 - 03 July 2025

Abstract 3D sparse convolution has emerged as a pivotal technique for efficient voxel-based perception in autonomous systems, enabling selective feature extraction from non-empty voxels while suppressing computational waste. Despite its theoretical efficiency advantages, practical implementations face under-explored limitations: the fixed geometric patterns of conventional sparse convolutional kernels inevitably process non-contributory positions during sliding-window operations, particularly in regions with uneven point cloud density. To address this, we propose Hierarchical Shape Pruning for 3D Sparse Convolution (HSP-S), which dynamically eliminates redundant kernel stripes through layer-adaptive thresholding. Unlike static soft pruning methods, HSP-S maintains trainable sparsity patterns by progressively… More >

CHENG CHENG^1,2,3, CHAO SHI^1,2, SHANG WU^1,2, WEIXING WU³, JINGPING LI^1,2, SINUO GAO^1,2, MENG HAN³, YIMIN WANG³, XIANGMEI ZHANG^2,4,*, YUNJIANG LIU^1,2,*

Oncology Research, Vol.33, No.7, pp. 1633-1648, 2025, DOI:10.32604/or.2025.061637 - 26 June 2025

Abstract Objectives: While programmed cell death 1 (PD-1) inhibitors have improved cancer treatment, the function and mechanisms of programmed cell death ligand 1 (PD-L1), particularly when expressed by cancer cells, remain unclear. This study aims to explore the role of PD-L1 within breast cancer cells and identify key targets for future immunotherapy. Methods: RNA-seq was performed on breast cancer cells with silenced PD-L1 to screen for differentially expressed genes, followed by bioinformatics analysis. Clinical specimens from breast cancer patients undergoing primary surgery without preoperative treatment were collected, along with in vitro analysis to validate the potential mechanism. Results:… More >

TIANYUN HAN^#, ZHONG LI^#, LUONING ZHANG, LINSHEN XIE^*

BIOCELL, Vol.48, No.11, pp. 1625-1638, 2024, DOI:10.32604/biocell.2024.055029 - 07 November 2024

Abstract Objective: The study aimed to explore the protective mechanism of Ganoderic acid A (GAA) in renal fibrosis and to verify that GAA can ameliorate renal fibrosis by regulating the Niemann-pick C1-like 1 (NPC1L1) gene. Methods: Transforming growth factor beta1 (TGF-β1) was used to treat Human Kidney-2 (HK-2) cells to establish a renal fibrosis model. The differentially expressed genes in the control (CTRL) group, TGF-β1 group, and TGF-β1 + GAA group were screened via transcriptome sequencing technology and verified by qPCR and Western blot experiments. The NPC1L1 gene overexpression plasmid was constructed. The expression levels of N-cad, E-cad,… More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.11, pp. 1829-1829, 2024, DOI:10.32604/or.2024.056904 - 16 October 2024

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.11, pp. 1819-1819, 2024, DOI:10.32604/or.2024.056893 - 16 October 2024

Abstract This article has no abstract. More >

Jajang Sutiawan¹, Alifah Syahfitri², Sukma Surya Kusumah¹, Dede Hermawan^2,*, Rita Kartika Sari², Luthfi Hakim³, Efri Mardawati^4,5, Muhammad Adly Rahandi Lubis^1,4,*

Journal of Renewable Materials, Vol.12, No.8, pp. 1383-1397, 2024, DOI:10.32604/jrm.2024.052052 - 06 September 2024

Abstract Molasses can serve as a natural adhesive for plywood and particleboard. However, several disadvantages remain, including lower dimensional stability and low bonding strength compared to other adhesives. Therefore, modifications are needed to use molasses as an adhesive for plywood. This research aims to improve bio-based molasses (MO) adhesive for plywood using citric acid (CA) adhesive. In addition, this research aims to analyze the effect of adding citric acid and to investigate the optimum hot-pressing temperature to produce the best quality plywood. In the first stage, the molasses and citric acid were combined in a ratio… More > Graphic Abstract

Yousef Ibrahim Daradkeh^1,*, Volodymyr Gorokhovatskyi², Iryna Tvoroshenko^2,*, Medien Zeghid^1,3

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 3085-3106, 2024, DOI:10.32604/cmc.2024.051709 - 15 August 2024

Abstract The research aims to improve the performance of image recognition methods based on a description in the form of a set of keypoint descriptors. The main focus is on increasing the speed of establishing the relevance of object and etalon descriptions while maintaining the required level of classification efficiency. The class to be recognized is represented by an infinite set of images obtained from the etalon by applying arbitrary geometric transformations. It is proposed to reduce the descriptions for the etalon database by selecting the most significant descriptor components according to the information content criterion.… More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.8, pp. 1375-1375, 2024, DOI:10.32604/or.2024.055032 - 17 July 2024

Abstract This article has no abstract. More >

RUOYU CHEN¹, YIMAN WU¹, FENG WANG¹, JUNTAO ZHOU¹, HUAZHANG ZHUANG¹, WEI LI^2,*

BIOCELL, Vol.48, No.7, pp. 1037-1046, 2024, DOI:10.32604/biocell.2024.051074 - 03 July 2024

Abstract Background: Oleanolic acid (OA), a pentacyclic triterpenoid exhibiting specific anti-cancer properties and highly effective antioxidant activity, was isolated from traditional Chinese medicinal herbs. Conversely, the OA that impacts colon cancer (CC) cells and its underlying mechanisms remain poorly understood. Methods: The cytotoxic effect of OA alone or OA-5-Fluorouracil (5-FU) combination on normal and CC cells was analyzed by methyl thiazolyl diphenyl-tetrazolium bromide (MTT). Then, the impact of OA on CC cell lines (LoVo and HT-29) proliferation and stemness were measured using colon formation and tumorsphere formation assays. Octamer-binding transcription factor 4 (Oct4), Prominin-1 (CD133), Nanog,… More >