Zhun Yu^1,2, Jie Wang^1,2, Guoping Xu^1,2,*

Oncology Research, Vol.33, No.8, pp. 2013-2035, 2025, DOI:10.32604/or.2025.061757 - 18 July 2025

Abstract Objectives: Triple-negative breast cancer (TNBC) presents a major treatment challenge due to its aggressive behavior. The dysfunction of the Golgi apparatus (GA) contributes to the development of various cancers. This study aimed to utilize GA-related genes (GARGs) to forecast the prognosis and immune profile of TNBC. Methods: The data were downloaded from The Cancer Genome Atlas (TCGA) database, including 175 TNBC and 99 healthy samples. The differentially expressed GARGs (DEGARGs) were analyzed using the TCGA biolinks package. The patients with TNBC were classified into two clusters utilizing the ConsensusClusterPlus package according to prognosis-related DEGARGs, followed by… More >

Isra Mohammed¹, Mohamed Elhafiz M. Musa², Murtada K. Elbashir^3,*, Ayman Mohamed Mostafa³, Amin Ibrahim Adam⁴, Mahmood A. Mahmood³, Areeg S. Faggad⁵

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3749-3763, 2025, DOI:10.32604/cmc.2025.063880 - 03 July 2025

Abstract Sonic Hedgehog Medulloblastoma (SHH-MB) is one of the four primary molecular subgroups of Medulloblastoma. It is estimated to be responsible for nearly one-third of all MB cases. Using transcriptomic and DNA methylation profiling techniques, new developments in this field determined four molecular subtypes for SHH-MB. SHH-MB subtypes show distinct DNA methylation patterns that allow their discrimination from overlapping subtypes and predict clinical outcomes. Class overlapping occurs when two or more classes share common features, making it difficult to distinguish them as separate. Using the DNA methylation dataset, a novel classification technique is presented to address… More >

Gülay Zulkadir^*

Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1879-1896, 2025, DOI:10.32604/phyton.2025.064144 - 27 June 2025

Abstract Soil salinization is a prominent global environmental issue that considerably affects the sustainable development of agriculture worldwide. Maize, a key crop integral to the global agricultural economy, is especially susceptible to the detrimental impacts of salt stress, which can impede its growth and development from the germination phase through to the seedling stage. Soil salinity tends to escalate due to improper irrigation methods, particularly in arid and semi-arid environments. Consequently, it is essential to evaluate potential genotypes and select those with high salt tolerance. In this study, 39 popcorn kernel genotypes were examined under varying… More >

Farah Syazwani Shahar¹, Thinesh Sharma Balakrishnan², Mohamed Thariq Hameed Sultan^2,3,*

Journal of Renewable Materials, Vol.13, No.6, pp. 1071-1101, 2025, DOI:10.32604/jrm.2024.02024-0011 - 23 June 2025

Abstract In this comprehensive review, the evolution and progress of bioplastics are examined, with an emphasis on their types, production methods, environmental impact, and biodegradability. In light of the increasing global efforts to address environmental degradation, bioplastics have emerged as a highly potential substitute for conventional petroleum-based plastics. This review classifies various categories of bioplastics, encompassing both biodegradable and bio-based variations, and assesses their environmental consequences using life cycle evaluations and biodegradability calculations. This paper analyzes the technological advancements that have enhanced the mechanical and thermal characteristics of bioplastics, hence increasing their feasibility for extensive commercial… More > Graphic Abstract

Muhammad Naeem^*, Abdul Majid

Journal on Artificial Intelligence, Vol.7, pp. 115-141, 2025, DOI:10.32604/jai.2025.062446 - 30 May 2025

Abstract Brain tumor identification is a challenging task in neuro-oncology. The brain’s complex anatomy makes it a crucial part of the central nervous system. Accurate tumor classification is crucial for clinical diagnosis and treatment planning. This research presents a significant advancement in the multi-classification of brain tumors. This paper proposed a novel architecture that integrates Enhanced ResNeXt 101_32×8d, a Convolutional Neural Network (CNN) with a multi-head self-attention (MHSA) mechanism. This combination harnesses the strengths of the feature extraction, feature representation by CNN, and long-range dependencies by MHSA. Magnetic Resonance Imaging (MRI) datasets were employed to check… More >

S. Y. Labonno, M. S. Raihan, M. Mohi-Ud-Din, A. K. M. Aminul Islam^*

Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1545-1563, 2025, DOI:10.32604/phyton.2025.063916 - 29 May 2025

Abstract Morpho-physiological evaluation of a crop’s genetic resources is necessary to find possible genotypes to include in breeding initiatives. The objective of this study was to identify heat-tolerant wheat genotypes among36 mutant lines using morpho-physiological indices. Seedlings of mutant lines and check varieties were grown under both normal (control) and heat-stress conditions in growth chambers. Data were recorded on root-shoot parameters (length, fresh weight, dry weight, and ratio), relative water content (RWC), stability of cell membrane, pigment content, and chlorophyll fluorescence. Two-way analysis of variance showed significant (p < 0.01, p < 0.001) variation among15 morpho-physiological features… More >

Qin Wang¹, Xiaofeng Wang^2,*, Jianghua Li², Ruidong Han², Zinian Liu¹, Mingtao Guo³

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4607-4621, 2025, DOI:10.32604/cmc.2025.063141 - 19 May 2025

Abstract The majority of current deepfake detection methods are constrained to identifying one or two specific types of counterfeit images, which limits their ability to keep pace with the rapid advancements in deepfake technology. Therefore, in this study, we propose a novel algorithm, Stereo Mixture Density Network (SMNDNet), which can detect multiple types of deepfake face manipulations using a single network framework. SMNDNet is an end-to-end CNN-based network specially designed for detecting various manipulation types of deepfake face images. First, we design a Subtle Distinguishable Feature Enhancement Module to emphasize the differentiation between authentic and forged… More >

Muhammad Imran Khan¹, Fahad Masoud Wattoo¹, Kamran Shehzad Bajwa^2,*, Zahid Akram¹, Sabahat Noor², Zaheer Abbas², Rashid Mehmood Rana¹, Muhammad Tahir Akram³, Shaukat Ali², Rai Muhammad Amir⁴, Ghulam Muhammad Ali⁵

Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1299-1318, 2025, DOI:10.32604/phyton.2025.062323 - 30 April 2025

Abstract The agricultural sector is notably affected by climate change, especially soybeans, which may face diminished yields because of severe water shortages. The evaluation of germplasm at morphological and molecular levels is an important pre-breeding step for crop improvement. This study employed 10 simple sequence repeat (SSR) markers to examine 60 soybean genotypes in the quest for drought-resistant lines during 2022–23. The results of the screening experiment (PEG-6000) revealed that the soybean genotypes SPS13, SPS195, PGRB83, and 39982 exhibited significant correlations in growth parameters. The results of molecular characterization indicated that five out of ten molecular… More >

Ruizhe Yu¹, Tingrui Yue³, Lei Liang^2,3,*, Zhisheng Gao^1,*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5239-5256, 2025, DOI:10.32604/cmc.2025.059077 - 06 March 2025

Abstract In the PSP (Pressure-Sensitive Paint), image deblurring is essential due to factors such as prolonged camera exposure times and high model velocities, which can lead to significant image blurring. Conventional deblurring methods applied to PSP images often suffer from limited accuracy and require extensive computational resources. To address these issues, this study proposes a deep learning-based approach tailored for PSP image deblurring. Considering that PSP applications primarily involve the accurate pressure measurements of complex geometries, the images captured under such conditions exhibit distinctive non-uniform motion blur, presenting challenges for standard deep learning models utilizing convolutional… More >

Zahraa N. Hussain^1,*, Jamal M. Ali^1,*, Hasan S. Majdi², Abbas J. Sultan¹, H. Al-Naseri³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 351-370, 2025, DOI:10.32604/fdmp.2024.056292 - 06 March 2025

Abstract The use of nanofluids as heat transfer media represents an innovative strategy to enhance heat transfer performances. This study investigates experimentally the turbulent convective heat transfer characteristics of water-based nanofluids containing TiO₂, CuO, and graphene nanoplatelet (GNP) nanoparticles as they flow through a copper tube. Both the dynamic viscosity and thermal conductivity of these nanofluids were modeled and experimentally measured across varying nanoparticle concentrations (0.01, 0.02, and 0.03 vol.%) and temperatures (25°C, 35°C, and 45°C). The findings indicate that the behavior of nanofluids depends on the parameter used for comparison with the base fluid. Notably, both More > Graphic Abstract