Erdong Shen¹, Ting Pan¹, Pan Guo¹, Ke Chen¹, Rui Xu¹, Mei Yang¹, Dahe Zhan¹, Fang Fang¹, Qinghui Wu^1,*, Jianbing Hu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-3, 2024, DOI:10.32604/icces.2024.012772

Abstract Objective
This study investigates the synergistic effects of a novel multifunctional nanoparticle on gastric cancer treatment through photothermal therapy, chemotherapy, and immunotherapy.

Method
Synthesize hollow mesoporous Prussian blue nanoparticles and load them with luteolin. Use exosomes to encapsulate the nanoparticles and modify the surface of the targeted peptide GX1. Detect the morphology of nanoparticles using a nanoparticle size analyzer and transmission electron microscopy. Use Coomassie Brilliant Blue to detect the effect of extracellular vesicle encapsulation. Detect the thermal conversion efficiency of nanoparticles under specific laser irradiation through infrared and ultraviolet spectroscopy, as well as the release rate… More >

Lei Peng^1,*, Jin Zhou², Xianfeng Zhang³, Zhongwei Guan^4,5

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011196

Abstract This paper presents the numerical modelling of the ballistic response of hybrid composite structures subjected to 7.62 mm projectile impact. This study focuses on the modelling of composites made of various materials, including ceramics, Ultra-High-Molecular-Weight Polyethylene (UHMWPE), Kevlar, and compressed wood, with fabrication of hybrid laminated structures that offer promising ballistic resistance capabilities. By employing a range of constitutive models and failure criteria, the finite element model simulates the ballistic behaviors of the constituent materials, facilitating a comprehensive understanding of their performance under high-velocity impacts. The core of the study lies in the comparison between… More >

YONGJIAN HUANG, JINZHOU WANG, JIUHUA XU, NING RUAN^*

Oncology Research, Vol.32, No.11, pp. 1765-1776, 2024, DOI:10.32604/or.2024.045564 - 16 October 2024

Abstract Background: Despite significant advancements in the development of anticancer therapies over the past few decades, the clinical management of colorectal cancer remains a challenging task. This study aims to investigate the inhibitory effects of cancer-targeting liposomes against colorectal cancer. Materials and Methods: Liposomes consisting of 3β-[N-(N′, N′-dimethylamino ethane)carbamoyl]-cholesterol (DC-CHOL), cholesterol (CHOL), and dioleoylphosphatidylethanolamine (DOPE) at a molar ratio of 1:1:0.5 were created and used as carriers to deliver an apoptosis-inducing plasmid encoding the tumor necrosis factor-related apoptosis-inducing ligand (pTRAIL) gene, along with the toll-like receptor (TLR7) agonist Rsiquimod (R848). The rationale behind this design is that More > Graphic Abstract

Lechan Yang^1,*, Li Li², Shouming Ma³

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1471-1489, 2024, DOI:10.32604/cmc.2024.056379 - 15 October 2024

Abstract Accurate geospatial data are essential for geographic information systems (GIS), environmental monitoring, and urban planning. The deep integration of the open Internet and geographic information technology has led to increasing challenges in the integrity and security of spatial data. In this paper, we consider abnormal spatial data as missing data and focus on abnormal spatial data recovery. Existing geospatial data recovery methods require complete datasets for training, resulting in time-consuming data recovery and lack of generalization. To address these issues, we propose a GAIN-LSTM-based geospatial data recovery method (TGAIN), which consists of two main works:… More >

I. Putu Mahendra^*, Kartika Dinita

Journal of Renewable Materials, Vol.12, No.8, pp. 1369-1382, 2024, DOI:10.32604/jrm.2024.053001 - 06 September 2024

Abstract TEMPO/NaOCl/NaBr treatment significantly increased the number of negative charges on the cellulose surface. Two concentrations of NaOCl, 5 and 30 mmol/g of cellulose, were used in this study. The number of carboxyl groups in the two cellulosic samples oxidized using TEMPO/NaOCl/NaBr was 0.5160 and 1.8461 mmol/g of cellulose, respectively. The oxidized cellulose samples treated with 5 and 30 mmol/g NaOCl exhibited higher crystallinity, at 81.15% and 80.14%, respectively, compared to untreated cellulose, which had a crystallinity of 75.95%. The pH effect indicated that the highest adsorption capacity for methylene blue was achieved under alkaline conditions… More > Graphic Abstract

Ahmed Mustaffa Saleem, Abdullah A. Badr, Bahjat Hassan Alyas, Omar Rafae Alomar^*

Frontiers in Heat and Mass Transfer, Vol.22, No.4, pp. 1231-1244, 2024, DOI:10.32604/fhmt.2024.053770 - 30 August 2024

Abstract This study numerically involves the performance of thermal insulation of different types of composite walls and roofs to demonstrate the best model that can be used for energy-efficient building construction in Iraq. The mathematical model is solved by building its code using the Transmission Matrix Method in MATLAB software. The weather data of 21st July 2022 in Baghdad City/Iraq is selected as a test day. The wall types are selected: the first type consists of cement mortar, brick, and gypsum, the second type consists of cement mortar, brick, gypsum, and plaster and the third type… More >

Borja Bordel Sánchez^1,*, Ramón Alcarria², Tomás Robles¹

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 631-654, 2024, DOI:10.32604/cmes.2024.050349 - 20 August 2024

Abstract Future 6G communications are envisioned to enable a large catalogue of pioneering applications. These will range from networked Cyber-Physical Systems to edge computing devices, establishing real-time feedback control loops critical for managing Industry 5.0 deployments, digital agriculture systems, and essential infrastructures. The provision of extensive machine-type communications through 6G will render many of these innovative systems autonomous and unsupervised. While full automation will enhance industrial efficiency significantly, it concurrently introduces new cyber risks and vulnerabilities. In particular, unattended systems are highly susceptible to trust issues: malicious nodes and false information can be easily introduced into… More >

Yangrong Chen^1,2, June Li^3,*, Yu Xia³, Ruiwen Zhang³, Lingling Li^1,2, Xiaoyu Li^1,2, Lin Ge^1,2

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2579-2609, 2024, DOI:10.32604/cmc.2024.053230 - 15 August 2024

Abstract Intelligent electronic devices (IEDs) are interconnected via communication networks and play pivotal roles in transmitting grid-related operational data and executing control instructions. In the context of the heightened security challenges within smart grids, IEDs pose significant risks due to inherent hardware and software vulnerabilities, as well as the openness and vulnerability of communication protocols. Smart grid security, distinct from traditional internet security, mainly relies on monitoring network security events at the platform layer, lacking an effective assessment mechanism for IEDs. Hence, we incorporate considerations for both cyber-attacks and physical faults, presenting security assessment indicators and… More > Graphic Abstract

Jian Luo^1,*, Bo Xu¹, Tardi Tjahjadi², Jian Yi¹

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 235-261, 2024, DOI:10.32604/cmc.2024.050018 - 18 July 2024

Abstract Subject identification via the subject’s gait is challenging due to variations in the subject’s carrying and dressing conditions in real-life scenes. This paper proposes a novel targeted 3-dimensional (3D) gait model (3DGait) represented by a set of interpretable 3DGait descriptors based on a 3D parametric body model. The 3DGait descriptors are utilised as invariant gait features in the 3DGait recognition method to address object carrying and dressing. The 3DGait recognition method involves 2-dimensional (2D) to 3DGait data learning based on 3D virtual samples, a semantic gait parameter estimation Long Short Time Memory (LSTM) network (3D-SGPE-LSTM), a feature fusion… More >

Ali Abdullah Abbas Baiee, Sasan Asiaei^*, Sayed Mostafa Hosseinalipour^*

Frontiers in Heat and Mass Transfer, Vol.22, No.3, pp. 955-976, 2024, DOI:10.32604/fhmt.2024.051532 - 11 July 2024

Abstract Globally, potable water scarcity is pervasive problem. The solar distillation device is a straightforward apparatus that has been purposefully engineered to convert non-potable water into potable water. The experimental study is distinctive due to the implementation of a rotational mechanism within the pyramidal solar still (PSS), which serves to enhance the evaporation and condensation processes. The objective of this research study is to examine the impact of integrating rotational motion into pyramidal solar stills on various processes: water distillation, evaporation, condensation, heat transfer, and energy waste reduction, shadow effects, and low water temperature in saline… More >