Stanislav Kotlyarov^1,*, Dmitry Oskin²

BIOCELL, Vol.49, No.9, pp. 1631-1661, 2025, DOI:10.32604/biocell.2025.066675 - 25 September 2025

Abstract Chronic obstructive pulmonary disease (COPD) and respiratory tuberculosis are important respiratory problems. Meeting together, these diseases can mutually worsen the severity of clinical manifestations and negatively affect prognosis. COPD and tuberculosis share a number of common risk factors and pathogenetic mechanisms involving various immune and non-immune cells. Inflammation, hypoxia, oxidative stress, and lung tissue remodeling play an important role in the comorbid course of COPD and respiratory tuberculosis. These mechanisms are of diagnostic interest and are promising therapeutic targets. Thus, the aim of the current review is to discuss the mechanisms of the comorbid course More >

Gang Li^1,#, Ru Wang^1,#, Yang Zhang^2,*, Chuanyun Xu², Xinyu Fan¹, Zheng Zhou¹, Pengfei Lv¹, Zihan Ruan¹

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3267-3288, 2025, DOI:10.32604/cmc.2025.067763 - 23 September 2025

Abstract Currently, challenges such as small object size and occlusion lead to a lack of accuracy and robustness in small object detection. Since small objects occupy only a few pixels in an image, the extracted features are limited, and mainstream downsampling convolution operations further exacerbate feature loss. Additionally, due to the occlusion-prone nature of small objects and their higher sensitivity to localization deviations, conventional Intersection over Union (IoU) loss functions struggle to achieve stable convergence. To address these limitations, LR-Net is proposed for small object detection. Specifically, the proposed Lossless Feature Fusion (LFF) method transfers spatial… More >

Hazem Farah¹, Akram Bennour^1,*, Hama Soltani¹, Mouaaz Nahas², Rashiq Rafiq Marie³, Mohammed Al-Sarem^3,4,*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3335-3348, 2025, DOI:10.32604/cmc.2025.067226 - 23 September 2025

Abstract This study presents an advanced method for post-mortem person identification using the segmentation of skeletal structures from chest X-ray images. The proposed approach employs the Attention U-Net architecture, enhanced with gated attention mechanisms, to refine segmentation by emphasizing spatially relevant anatomical features while suppressing irrelevant details. By isolating skeletal structures which remain stable over time compared to soft tissues, this method leverages bones as reliable biometric markers for identity verification. The model integrates custom-designed encoder and decoder blocks with attention gates, achieving high segmentation precision. To evaluate the impact of architectural choices, we conducted an… More >

Nouman Ahmad^*, Changsheng Zhang

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3321-3334, 2025, DOI:10.32604/cmc.2025.067044 - 23 September 2025

Abstract Source code vulnerabilities present significant security threats, necessitating effective detection techniques. Rigid rule-sets and pattern matching are the foundation of traditional static analysis tools, which drown developers in false positives and miss context-sensitive vulnerabilities. Large Language Models (LLMs) like BERT, in particular, are examples of artificial intelligence (AI) that exhibit promise but frequently lack transparency. In order to overcome the issues with model interpretability, this work suggests a BERT-based LLM strategy for vulnerability detection that incorporates Explainable AI (XAI) methods like SHAP and attention heatmaps. Furthermore, to ensure auditable and comprehensible choices, we present a… More >

Junzhe Cheng^*

Journal of Cyber Security, Vol.7, pp. 343-357, 2025, DOI:10.32604/jcs.2025.067979 - 22 September 2025

Abstract We present a novel Transformer-based network intrusion detection system (IDS) that automatically learns complex feature relationships from raw traffic. Our architecture embeds both categorical (e.g., protocol, flag) and numerical (e.g., packet count, duration) inputs into a unified latent space with positional encodings, and processes them through multi-layer multi-head self-attention blocks. The Transformer’s global attention enables the IDS to capture subtle, long-range correlations in the data (e.g., coordinated multi-step attacks) without manual feature engineering. We complement the model with extensive data augmentation (SMOTE, GANs) to mitigate class imbalance and improve robustness. In evaluation on benchmark datasets… More >

Charles Munyao^*, John Ndia

Journal on Artificial Intelligence, Vol.7, pp. 329-346, 2025, DOI:10.32604/jai.2025.069226 - 22 September 2025

Abstract The natural language processing (NLP) domain has witnessed significant advancements with the emergence of transformer-based models, which have reshaped the text understanding and generation landscape. While their capabilities are well recognized, there remains a limited systematic synthesis of how these models perform across tasks, scale efficiently, adapt to domains, and address ethical challenges. Therefore, the aim of this paper was to analyze the performance of transformer-based models across various NLP tasks, their scalability, domain adaptation, and the ethical implications of such models. This meta-analysis paper synthesizes findings from 25 peer-reviewed studies on NLP transformer-based models,… More >

Yang Yu^1,2, Sheng Fan^1,2, Zhonglin Li^1,2, Zhong He^1,2, Jingwei Liu^3,*, Peng Xu^3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1875-1894, 2025, DOI:10.32604/fdmp.2025.066404 - 12 September 2025

Abstract Drilling operations in carbonate rock heavy oil blocks (e.g., in the Tahe Oilfield) are challenged by the intrusion of high-viscosity, temperature-sensitive formation heavy oil into the drilling fluid. This phenomenon often results in wellbore blockage, reduced penetration rates, and compromised well control, thereby significantly limiting drilling efficiency and operational safety. To address this issue, this study conducts a comprehensive investigation into the mechanisms governing heavy oil invasion using a combination of laboratory experiments and field data analysis. Findings indicate that the reservoir exhibits strong heterogeneity and that the heavy oil possesses distinctive physical properties. The… More >

Siyang Ou¹, Liuyan Yang¹, Tingting Yuan¹, Mutong Li¹, Guohui Liao², Wanping Zhang¹, Guangdong Geng^1,*, Suqin Zhang^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2441-2460, 2025, DOI:10.32604/phyton.2025.068368 - 29 August 2025

Abstract Chive (Allium ascalonicum L.), a seeding-vernalization-type vegetable, is prone to bolting. To explore the physiological and molecular mechanisms of its bolting, bolting-prone (‘BA’) and bolting-resistant (‘WA’) chives were sampled at the vegetative growth, floral bud differentiation, and bud emergence stages. No bolting was observed in bolting-resistant ‘WA’ on the 130th day after planting, whereas the bolting reached 39.22% in bolting-prone ‘BA’, which was significantly higher than that of ‘WA’. The contents of gibberellins, abscisic acid, and zeatin riboside after floral bud differentiation in ‘WA’ were significantly less than in ‘BA’, whereas the indoleacetic acid content in… More >

Muhammad Zaid Jawaid, Muhammad Fasih Khalid, Ahmed Abou Elezz, Talaat Ahmed^*

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2423-2439, 2025, DOI:10.32604/phyton.2025.068303 - 29 August 2025

Abstract Salt stress is a major threat to crop agricultural productivity. Salinity affects plants’ physiological and biochemical functions by hampering metabolic functions and decreasing photosynthetic rates. Salinity causes hyperosmotic and hyperionic stress, directly impairing plant growth. In this study, eggplant seeds primed with moringa leaf extract (5%, 10%, and 15%), nano-titanium dioxide (0.02%, 0.04%, and 0.06%), and ascorbic acid (0.5, 1, and 2 mM) at different NaCl salt (0, 75, and 150 mM) concentration were grown. The germination attributes (final germination percentage, germination index, mean germination time, and mean germination rate) and growth (root length, shoot… More >

Malini Ray¹, Sanchari Burman², Shweta Meshram^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2285-2312, 2025, DOI:10.32604/phyton.2025.067814 - 29 August 2025

Abstract Plants are under constant exposure to varied biotic and abiotic stresses, which significantly affect their growth, productivity, and survival. Biotic stress, caused by pathogens, and abiotic stress, including drought, salinity, extreme temperatures, and heavy metals, activate overlapping yet distinct immune pathways. These are comprised of morphological barriers, hormonal signaling, and the induction of stress-responsive genes through complex pathways mediated by reactive oxygen species (ROS), phytohormones, and secondary metabolites. Abiotic stress triggers organelle-mediated retrograde signaling from organelles like chloroplasts and mitochondria, which causes unfolded protein responses and the regulation of cellular homeostasis. Simultaneously, biotic stress activates… More > Graphic Abstract