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  • Open Access

    REVIEW

    Endothelial and Mitochondrial Dysfunction in COPD Pathophysiology: Focus on Homocysteine–L-Carnitine Interplay

    Eduard Belskikh1,*, Yuliya Marsyanova2, Denis Melnikov3, Oleg Uryasev1, Valentina Zvyagina2

    BIOCELL, Vol.49, No.11, pp. 2093-2123, 2025, DOI:10.32604/biocell.2025.069272 - 24 November 2025

    Abstract Elevated homocysteine is a clinically relevant metabolic signal in chronic obstructive pulmonary disease (COPD). Higher circulating levels track with oxidative stress, endothelial dysfunction, mitochondrial impairment, and pulmonary vascular remodeling, rise with disease severity, and may contribute to the excess cardiovascular risk—although effect sizes and causality remain uncertain. This review centers on the homocysteine–carnitine relationship in COPD pathophysiology. Carnitine deficiency, prevalent in COPD, can worsen mitochondrial bioenergetics, promote accumulation of acyl intermediates, and reduce nitric oxide bioavailability via endothelial nitric oxide synthase uncoupling (eNOS). Conversely, restoring carnitine status in experimental and early clinical settings has been… More >

  • Open Access

    ARTICLE

    Experiences of COVID-19 Intensive Care Unit Physicians and Hospital Administrators: Qualitative Findings from Focus Groups

    Traci N. Adams1,#,*, Haley Belt1,#, E. Whitney Pollio2, Leah Cohen1, Roma M. Mehta1, Hetal J. Patel1, Rosechelle M. Ruggiero1, Carol S. North3

    International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1369-1382, 2025, DOI:10.32604/ijmhp.2025.066495 - 30 September 2025

    Abstract Background: While quantitative research has determined that emotional distress and psychiatric illness among frontline healthcare workers increased with the COVID-19 pandemic, detailed qualitative data describing their personal experiences are needed in order to make appropriate plans to address provider mental health in future pandemics. This study aims to further explore the psychological effects of the pandemic on COVID-19 ICU clinicians and administrators through focus groups. Methods: Two separate 2-h focus groups of physicians were conducted, one with frontline faculty clinicians and another with administrators. Qualitative data analysis was conducted. Results: In September and November 2023, volunteer… More >

  • Open Access

    REVIEW

    Deubiquitinating Enzyme OTUDs: Focus on Cancers and Antiviral Response

    Lang Chen1, Rui Dong1, Xuan Huan2,*

    Oncology Research, Vol.33, No.10, pp. 2833-2856, 2025, DOI:10.32604/or.2025.063644 - 26 September 2025

    Abstract Deubiquitinating enzymes (DUBs) are key enzymes capable of cleaving ubiquitin chains and synergizing with ubiquitination modifications to regulate the function of key proteins and maintain normal physiological functions. OTUDs are a key subfamily of the ovarian tumor protease (OTU) family, with important DUB activities, and include mainly OTUD1, OTUD2, OTUD3, OTUD4, OTUD5, OTUD6A, and OTUD6B. In recent years, research on OTUD proteins has been gradually emphasized, and their aberrant expression has demonstrated significant research value in many diseases, such as cancer, immune abnormalities, neurological disorders, and embryonic developmental abnormalities. Therefore, a comprehensive understanding of the… More >

  • Open Access

    ARTICLE

    Image Steganalysis Based on an Adaptive Attention Mechanism and Lightweight DenseNet

    Zhenxiang He*, Rulin Wu, Xinyuan Wang

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1631-1651, 2025, DOI:10.32604/cmc.2025.067252 - 29 August 2025

    Abstract With the continuous advancement of steganographic techniques, the task of image steganalysis has become increasingly challenging, posing significant obstacles to the fields of information security and digital forensics. Although existing deep learning methods have achieved certain progress in steganography detection, they still encounter several difficulties in real-world applications. Specifically, current methods often struggle to accurately focus on steganography sensitive regions, leading to limited detection accuracy. Moreover, feature information is frequently lost during transmission, which further reduces the model’s generalization ability. These issues not only compromise the reliability of steganography detection but also hinder its applicability… More >

  • Open Access

    ARTICLE

    A Facial Expression Recognition Network Using Rebalance-Based Regulation of Attention Consistency and Focus

    Xiaoliang Zhu, Hao Chen, Xin Yang, Zhicheng Dai, Liang Zhao*

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1585-1602, 2025, DOI:10.32604/cmc.2025.066147 - 29 August 2025

    Abstract Facial expression datasets commonly exhibit imbalances between various categories or between difficult and simple samples. This imbalance introduces bias into feature extraction within facial expression recognition (FER) models, which hinders the algorithm’s comprehension of emotional states and reduces the overall recognition accuracy. A novel FER model is introduced to address these issues. It integrates rebalancing mechanisms to regulate attention consistency and focus, offering enhanced efficacy. Our approach proposes the following improvements: (i) rebalancing weights are used to enhance the consistency between the heatmaps of an original face sample and its horizontally flipped counterpart; (ii) coefficient More >

  • Open Access

    ARTICLE

    A Systematic Comparison of Discrete Cosine Transform-Based Approaches for Multi-Focus Image Fusion

    Muhammad Osama1, Sarwar Shah Khan2,*, Sajid Khan2, Muzammil Khan3, Mian Muhammad Danyal4, Reshma Khan1

    Digital Engineering and Digital Twin, Vol.3, pp. 17-34, 2025, DOI:10.32604/dedt.2025.066344 - 19 August 2025

    Abstract Image fusion is a technique used to combine essential information from two or more source images into a single, more informative output image. The resulting fused image contains more meaningful details than any individual source image. This study focuses on multi-focus image fusion, a crucial area in image processing. Due to the limited depth of field of optical lenses, it is often challenging to capture an image where all areas are in focus simultaneously. As a result, multi-focus image fusion plays a key role in integrating and extracting the necessary details from different focal regions.… More >

  • Open Access

    ARTICLE

    Performance of an Electro-Optic-Liquid Coupling Nozzle with a Multi-Jet Focusing Structure

    Xiaozong Song*, Jiangbin Liu, Longhua Fei, Wencong Zhang

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.6, pp. 1379-1396, 2025, DOI:10.32604/fdmp.2025.061222 - 30 June 2025

    Abstract Ultra-precision components have been widely used to produce advanced optoelectronic equipment. The so-called Electric field enhanced UltraViolet-Induced Jet Machining (EUV-INCJM) is an ultra-precision method that can achieve sub-nanometer level surface quality polishing. This study focuses on the application of the EUV-INCJM with different nozzle structures to a single-crystal of silicon. Two kinds of electro-optic-liquid coupling nozzles with single-jet and multi-jet focusing structures are proposed accordingly. Simulations and experiments have been conducted to verify the material removal performance of these nozzles. The simulation results show that, under the same condition, the flow velocity of the single-jet… More >

  • Open Access

    REVIEW

    Zinc Oxide Nanoparticles: Abiotic Stress Tolerance in Fruit Crops Focusing on Sustainable Production

    Meryam Manzoor1, Konstantin Korolev2, Maryam3, Riaz Ahmad4,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1401-1418, 2025, DOI:10.32604/phyton.2025.063930 - 29 May 2025

    Abstract The productivity of fruit crops is badly affected by abrupt changes in climatic conditions. It is a matter of concern for fruit tree researchers to feed the huge population within the available resources. The adverse effects of abiotic stresses are increasing due to fluctuations in climate change. Several abiotic stresses (salinity, drought, water logging, minerals deficiency, temperature extremities and heavy metals) are reducing the overall productivity of crops. Therefore, the application of different management approaches, i.e., phytohormones, nanoparticles, organic amendments, microbes and molecular aspects are effective for the mitigation of abiotic stresses in fruit crops.… More >

  • Open Access

    REVIEW

    Advances and challenges in leukemia treatment: A focus on monoclonal antibodies and emerging therapies

    GIOVANA GOMES CHAGAS1, RUAN PIMENTA2, NAYARA IZABEL VIANA1,*

    Oncology Research, Vol.33, No.6, pp. 1283-1288, 2025, DOI:10.32604/or.2025.055100 - 29 May 2025

    Abstract The monoclonal antibodies consist of an innovative form of immunotherapy, capable of defeating several diseases, such as cancer. It is an emergent and important theme, that advances evaluation, challenges, and future perspectives with high relevance to identify gaps in recent studies and to consolidate this general theme in only one research. Its action in Chronic and Acute Lymphoid Leukemia has been evaluated in several clinical trials, which were selected between 2022 and 2023, in order to understand better the monoclonal antibodies that were most studied. The biopharmaceutical compounds Ibrutinib, Obinutuzumab, Rituximab, Venetoclax, and Inotuzumab Ozogamicin… More >

  • Open Access

    ARTICLE

    TransSSA: Invariant Cue Perceptual Feature Focused Learning for Dynamic Fruit Target Detection

    Jianyin Tang, Zhenglin Yu*, Changshun Shao

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2829-2850, 2025, DOI:10.32604/cmc.2025.063287 - 16 April 2025

    Abstract In the field of automated fruit harvesting, precise and efficient fruit target recognition and localization play a pivotal role in enhancing the efficiency of harvesting robots. However, this domain faces two core challenges: firstly, the dynamic nature of the automatic picking process requires fruit target detection algorithms to adapt to multi-view characteristics, ensuring effective recognition of the same fruit from different perspectives. Secondly, fruits in natural environments often suffer from interference factors such as overlapping, occlusion, and illumination fluctuations, which increase the difficulty of image capture and recognition. To address these challenges, this study conducted… More >

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