Yasser Alharbi¹, Sarwar Shah Khan^2,*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1275-1290, 2025, DOI:10.32604/cmc.2025.061490 - 26 March 2025

Abstract Sentiment analysis plays an important role in distilling and clarifying content from movie reviews, aiding the audience in understanding universal views towards the movie. However, the abundance of reviews and the risk of encountering spoilers pose challenges for efficient sentiment analysis, particularly in Arabic content. This study proposed a Stochastic Gradient Descent (SGD) machine learning (ML) model tailored for sentiment analysis in Arabic and English movie reviews. SGD allows for flexible model complexity adjustments, which can adapt well to the Involvement of Arabic language data. This adaptability ensures that the model can capture the nuances… More >

Heni Radiani Arifin^1,*, Yoan Christina Angelica¹, Bambang Nurhadi¹, Herlina Marta¹, Rossy Choerun Nissa²

Journal of Renewable Materials, Vol.13, No.3, pp. 617-635, 2025, DOI:10.32604/jrm.2025.057812 - 20 March 2025

Abstract Bionanocomposite film is produced from renewable and biodegradable natural resources. Although elephant foot yam (EFY) starch (Amorphophallus paeoniifolius) is a promising polymer for bionanocomposite film, the native hydrophilic properties influence the overall performance characteristics. Incorporating virgin coconut oil (VCO) and monoglyceride as hydrophobic components can improve mechanical properties and reduce permeability while increasing the hydrophobicity of the composite. Therefore, this study aimed to determine the effect of adding VCO and monoglyceride on EFY starch-nanocrystalline film at 3 and 5 wt% concentrations. Experimental tests were conducted to evaluate the physical and mechanical properties, water vapor transmission rate… More > Graphic Abstract

R. A. Ulwali^*, N. K. Abbas

Chalcogenide Letters, Vol.21, No.12, pp. 1011-1020, 2024, DOI:10.15251/CL.2024.2112.1011

Abstract Pure zinc sulfide nanoparticles and doped with silver (0.5,1,1.5,2.5, and 3.5) % wt. were prepared by green method. The structural properties were studied using X-ray diffraction technology(XRD). The diffraction patterns showed the particles were crystalline and had a zinc-blend structure with different average grain size. The surface topography was investigated by Scanning Electron Microscope (FE-SEM), it was found the shape is spherical and had different nanosized. Chemical purity was studied using Energy Dispersive X-ray Spectroscopy(EDX), the results showed the appearance of basic elements (Zn, S) and silver. The results of Fourier Transform Infrared Spectroscopy(FTIR) showed More >

Jiajun Xu^1,#, Zhuo Shi^2,#, Shanshan Shi^1,*, Xiangming Fan^2,*

Congenital Heart Disease, Vol.19, No.5, pp. 535-540, 2024, DOI:10.32604/chd.2024.057558 - 31 December 2024

Abstract Interrupted Aortic Arch (IAA) combined with aortic stenosis (AS) is a rare and complex congenital cardiac anomaly that presents significant challenges in clinical management. In this letter, we aim to share our experience in performing hybrid procedures on an infant diagnosed with IAA combined with bicuspid AS. This child exhibited significant recovery during follow-up. More >

Domenico Crea¹, Arben Dedja¹, Matteo Ponzoni^1,2, Stefania Rizzo³, Alberto Cipriani⁴, Riccardo Bariani⁴, Kalliopi Pilichou³, Maria Bueno Marinas³, Danila Azzolina⁵, Massimo A. Padalino^1,6,*

Congenital Heart Disease, Vol.19, No.5, pp. 473-487, 2024, DOI:10.32604/chd.2025.057014 - 31 December 2024

Abstract Background: Since 2015, the pulmonary artery banding (PAB), following the Giessen protocol, has treated end-stage heart failure in selected infants with preserved right ventricular function, acting as a bridge to transplant or recovery, as a result of ventricular-ventricular interaction. Objectives: To elucidate whether PAB is a feasible and reproducible procedure in a rodent model of pharmacologically induced dilated cardiomyopathy (DCM) and to evaluate PAB-induced ventricular rehabilitation. Methods: We used 49 Sprague-Dawley rats divided into four groups: a sham surgery control group, a healthy animal group undergoing PAB, a doxorubicin (DOX)- treated control group, and a DOX… More >

Hideki Mori^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012935

Abstract To design the mechanical strength of iron, it is very important to clarify the detail of dislocation dynamics in Body-Centered Cubic (BCC) Iron. The dislocation core structures are typically confined to the nanometer scale.
This implies that the resistance force from discrete atomic columns has a direct bearing on dislocation mobility.
Recently, we've developed a high-fidelity inter-atomic potential leveraging neural networks built upon density functional theory (DFT) data. By conducting dislocation dynamics simulations, we've addressed shortcomings inherent in classical inter-atomic potential approaches. Nonetheless, a significant challenge persists: a three- to four-fold deviation exists between More >

Jiaqin Xu¹, Shuhei Shinzato¹, Shihao Zhang¹, Fan-Shun Meng¹, Shigenobu Ogata^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011814

Abstract Hydrogen has the potential to be the clean energy solution to achieve the sustainable development goals (SDGs). However, from preparation to utilization, the hydrogen embrittlement can not be neglected. Hydrogen embrittlement occurs as a result of hydrogen affecting dislocations motion and cracks opening. Dislocation motion in hydrogen environment has not been clarified although several mechanisms have been proposed, including the hydrogen enhanced decohesion (HEDE), the hydrogen enhanced macroscopic ductility (HEMP), the hydrogen enhanced local plastic model (HELP), etc. It is essential to comprehend the underlying hydrogen-dislocation interactions that cause embrittlement. Also, dynamics of dislocation motion… More >

Saad M. Darwish^1,*, Abdul Rahman M. Sabri², Dhafar Hamed Abd², Adel A. Elzoghabi¹

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1595-1624, 2024, DOI:10.32604/csse.2024.054615 - 22 November 2024

Abstract The number of blogs and other forms of opinionated online content has increased dramatically in recent years. Many fields, including academia and national security, place an emphasis on automated political article orientation detection. Political articles (especially in the Arab world) are different from other articles due to their subjectivity, in which the author’s beliefs and political affiliation might have a significant influence on a political article. With categories representing the main political ideologies, this problem may be thought of as a subset of the text categorization (classification). In general, the performance of machine learning models… More >

YUQIN YIN^1,2,#, YU WU^1,#, HONGLIANG HUANG^1,2, YINGYING DUAN^1,2, ZHONGWEN YUAN^1,2, LIHUI CAO^1,2, JINJIN YING^1,2, YONGHENG ZHOU^3,*, SENLING FENG^1,2,*

Oncology Research, Vol.32, No.12, pp. 1891-1902, 2024, DOI:10.32604/or.2024.048778 - 13 November 2024

Abstract Background: Polymethoxylated flavones (PMFs) are compounds present in citrus peels and other Rutaceae plants, which exhibit diverse biological activities, including robust antitumor and antioxidant effects. However, the mechanism of PMFs in reversing drug resistance to colon cancer remains unknown. In the present study, we aimed to investigate the potential connection between the aerobic glycolysis-ROS-autophagy signaling axis and the reversal of PTX resistance in colon cancer by PMFs. Methods: MTT Cell viability assay and colony formation assay were used to investigate the effect of PMFs combined with PTX in reversing HCT8/T cell resistance ex vivo; the mRNA… More > Graphic Abstract

Enas Yahya Alqulaity¹, Wael M.S. Yafooz^1,*, Abdullah Alourani², Ayman Jaradat³

Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 907-928, 2024, DOI:10.32604/iasc.2024.055470 - 31 October 2024

Abstract Arabic dialect identification is essential in Natural Language Processing (NLP) and forms a critical component of applications such as machine translation, sentiment analysis, and cross-language text generation. The difficulties in differentiating between Arabic dialects have garnered more attention in the last 10 years, particularly in social media. These difficulties result from the overlapping vocabulary of the dialects, the fluidity of online language use, and the difficulties in telling apart dialects that are closely related. Managing dialects with limited resources and adjusting to the ever-changing linguistic trends on social media platforms present additional challenges. A strong… More >