Sophia Strukel¹, Vikrant Rai^1,2,*

BIOCELL, Vol.49, No.10, pp. 1887-1911, 2025, DOI:10.32604/biocell.2025.067207 - 22 October 2025

Abstract Diabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus and are associated with high morbidity, risk of amputation, and increased mortality. Although DFUs typically remain a chronic, non-healing wound, a small portion of DFUs may undergo malignant transformation. The subsequent malignancies are skin cancers such as squamous cell carcinoma (SCC), basal cell carcinoma, or melanoma. Understanding the pathophysiology of DFUs and the molecular and clinical determinants that contribute to their potential malignant transformation if crucial for clinical management. Chronic inflammation, dysregulation of cytokine signaling, faulty immune surveillance, and impaired wound healing all play… More >

Qiang Sun^1,2,*, Zheng-Song Qiu¹, Tie Geng², Han-Yi Zhong¹, Weili Liu², Yu-Lin Tang², Jin-Cheng Dong²

Journal of Polymer Materials, Vol.42, No.3, pp. 757-772, 2025, DOI:10.32604/jpm.2025.069808 - 30 September 2025

Abstract Addressing the critical challenges of viscosity loss and barite sag in synthetic-based drilling fluids (SBDFs) under high-temperature, high-pressure (HTHP) conditions, this study innovatively developed a hyperbranched amide polymer (SS-1) through a unique stepwise polycondensation strategy. By integrating dynamic ionic crosslinking for temperature-responsive rheology and rigid aromatic moieties ensuring thermal stability beyond 260°C, SS-1 achieves a molecular-level breakthrough. Performance evaluations demonstrate that adding merely 2.0 wt% SS-1 significantly enhances key properties of 210°C-aged SBDFs: plastic viscosity rises to 45 mPa·s, electrical stability (emulsion voltage) reaches 1426 V, and the sag factor declines to 0.509, outperforming conventional More >

Jing Zhang^1,#, Huifen Qiao^1,#, Shenglong Wang^1,#, Jiawei Yuan¹, Qingsong Ba¹, Gensheng Zhang^1,2,*, Guiping Li^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2701-2718, 2025, DOI:10.32604/phyton.2025.070017 - 30 September 2025

Abstract Wheat stripe rust, a devastating disease caused by the fungal pathogen Puccinia striiformis f. sp. tritici (Pst), poses a significant threat to global wheat production. Growing resistant cultivars is a crucial strategy for wheat stripe rust management. However, the underlying molecular mechanisms of wheat resistance to Pst remain incompletely understood. To unravel these mechanisms, we employed high-throughput RNA sequencing (RNA-Seq) to analyze the transcriptome of the resistant wheat cultivar Mianmai 46 (MM46) at different time points (24, 48, and 96 h) post-inoculation with the Pst race CYR33. The analysis revealed that Pst infection significantly altered the expression of genes… More >

Jing Zhang, Liang Meng^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.011468

Abstract Shape memory alloys (SMA), with their unique phase transformation capability, can deform under external force and recover their original shape through a martensite-to-austenite phase transformation triggered by heating [1]. Utilizing this characteristic, SMA wires can be pre-stretched and fixed, generating internal stress during shape recovery, which increases the natural frequency of SMA wire structures [2]. This property is of significant importance in structural dynamics design. Based on this, structures incorporating SMA wires and SMA-reinforced plate structures can be designed to dynamically adjust their natural frequencies and control structural dynamic responses. Furthermore, the vibration modes of More >

Yongting Duan^*Chengcheng Zhu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.010514

Abstract Clarify the mechanical properties of different laminations and the fracture mechanism of continental shale under in-situ stress can provide theoretical basis for more comprehensive evaluation of the fracability of continental shale oil reservoir. The Chang 72 continental shale was used to investigate the mechanical properties of laminations and the effect of natural structure on the crack propagation of the shale. The X-ray diffraction (XRD) and thin section tests show that the laminations contain two types: bright sandy lamination with void structure and dark muddy lamination with layer structure. The real-time Computed Tomography (CT) uniaxial compression… More >

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 >

Zihan Jia, Bowen Ma, Dongyue Chen^*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2873-2891, 2025, DOI:10.32604/cmc.2025.067460 - 23 September 2025

Abstract In real-world scenarios, dual-view X-ray machines have outnumbered single-view X-ray machines due to their ability to provide comprehensive internal information about the baggage, which is important for identifying prohibited items that are not visible in one view due to rotation or overlap. However, existing work still focuses mainly on single-view, and the limited dual-view based work only performs simple information fusion at the feature or decision level and lacks effective utilization of the complementary information hidden in dual view. To this end, this paper proposes an end-to-end dual-view prohibited item detection method, the core of… 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 >