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  • Open Access

    COMMENTARY

    CD47-Targeted Therapy in Cancer Immunotherapy: At a Crossroads of Promise and Challenge

    Xuejun Guo1,2, Yilin Fu3, Natalia Baran4,5, Wenxue Ma6,*

    Oncology Research, Vol.33, No.11, pp. 3375-3385, 2025, DOI:10.32604/or.2025.071708 - 22 October 2025

    Abstract Cluster of differentiation 47 (CD47), an immune checkpoint commonly referred to as the “don’t eat me” signal, plays a pivotal role in tumor immune evasion by inhibiting phagocytosis through interaction with signal regulatory protein alpha (SIRPα) on macrophages and dendritic cells (DCs). Although early enthusiasm drove broad clinical development, recent discontinuations of major CD47-targeted programs have prompted re-evaluation of its therapeutic potential. The purpose of this commentary is to contextualize the setbacks observed with first-generation CD47 inhibitors and to highlight strategies aimed at overcoming their limitations. Clinical challenges, including anemia, thrombocytopenia, suboptimal pharmacokinetics, and limited… More >

  • Open Access

    ARTICLE

    Optimizing In Vitro Regeneration of Wheat via Somatic Embryogenesis Using Endosperm-Supported Mature Embryos

    Sumeyra Ucar1, Muhammed Aldaif 2, Esra Yaprak1, Esma Yigider 2, Murat Aydin2,*, Emre Ilhan1, Abdulkadir Ciltas2, Ertan Yildirim3

    Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2461-2477, 2025, DOI:10.32604/phyton.2025.068383 - 29 August 2025

    Abstract Wheat is a crucial crop for global food security, and effective in vitro plant regeneration techniques are considered a precondition for genetic engineering in wheat breeding programs. A practical approach for in vitro regeneration of the Kırik bread wheat cultivar via somatic embryogenesis was investigated using endosperm-supported mature embryos. Callus cultures were initiated from mature embryos supported by endosperm, cultured on phytagel-based Murashige and Skoog (MS) basal medium containing dicamba (12 mg/L) and indole-3-acetic acid (IAA) (0.5 mg/L) under dark conditions. This research was designed to examine the impact of putrescine (Put) (0.0 and 1.0 mM) on… More >

  • Open Access

    ARTICLE

    Enhancing Classroom Behavior Recognition with Lightweight Multi-Scale Feature Fusion

    Chuanchuan Wang1,2, Ahmad Sufril Azlan Mohamed2,*, Xiao Yang 2, Hao Zhang 2, Xiang Li1, Mohd Halim Bin Mohd Noor 2

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 855-874, 2025, DOI:10.32604/cmc.2025.066343 - 29 August 2025

    Abstract Classroom behavior recognition is a hot research topic, which plays a vital role in assessing and improving the quality of classroom teaching. However, existing classroom behavior recognition methods have challenges for high recognition accuracy with datasets with problems such as scenes with blurred pictures, and inconsistent objects. To address this challenge, we proposed an effective, lightweight object detector method called the RFNet model (YOLO-FR). The YOLO-FR is a lightweight and effective model. Specifically, for efficient multi-scale feature extraction, effective feature pyramid shared convolutional (FPSC) was designed to improve the feature extract performance by leveraging convolutional… More >

  • Open Access

    ARTICLE

    Lightweight Classroom Student Action Recognition Method Based on Spatiotemporal Multimodal Feature Fusion

    Shaodong Zou1, Di Wu1, Jianhou Gan1,2,*, Juxiang Zhou1,2, Jiatian Mei1,2

    CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1101-1116, 2025, DOI:10.32604/cmc.2025.061376 - 26 March 2025

    Abstract The task of student action recognition in the classroom is to precisely capture and analyze the actions of students in classroom videos, providing a foundation for realizing intelligent and accurate teaching. However, the complex nature of the classroom environment has added challenges and difficulties in the process of student action recognition. In this research article, with regard to the circumstances where students are prone to be occluded and classroom computing resources are restricted in real classroom scenarios, a lightweight multi-modal fusion action recognition approach is put forward. This proposed method is capable of enhancing the… More >

  • Open Access

    REVIEW

    Unraveling the molecular crossroads: T2DM and Parkinson’s disease interactions

    TINGTING LIU#, XIANGRUI KONG#, JIANSHE WEI*

    BIOCELL, Vol.48, No.12, pp. 1735-1749, 2024, DOI:10.32604/biocell.2024.056272 - 30 December 2024

    Abstract Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by persistent hyperglycemia. In recent times, an elevated risk of Parkinson’s disease (PD) development among individuals with T2DM has become evident. However, the molecular mechanisms that underpin the interplay between T2DM and the pathogenesis of PD remain to be elucidated. Nevertheless, recent epidemiological studies have underscored several shared molecular pathways that are crucial for normal cellular function and are also associated with the progression and etiology of both T2DM and PD. This review encapsulates some of the shared pathophysiological mechanisms, including genetic risk factors, More >

  • Open Access

    ARTICLE

    Genome-Wide Analysis for Yield-Related Agronomic and Biochemical Traits of Chinese and Bangladeshi Grass Pea Genotypes Using SSR Markers

    Md. Mosiur Rahman1,2, Md. Ruhul Quddus3, Quanle Xu4, Muhammad Malek Hossain2, Rong Liu1, Mengwei Li1, Xin Yan1, Guan Li1, Yishan Ji1, Chenyu Wang1, Ashutosh Sarker5, Tao Yang1, Xuxiao Zong1, Md. Monoar Hossain6, Saleh Alfarraj7, Mohammad Javed Ansari8, Sagar Maitra9,*, Akbar Hossain10,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1781-1804, 2024, DOI:10.32604/phyton.2024.048992 - 30 August 2024

    Abstract Grass pea (Lathyrus sativus L.) is an imperative food crop cultured in dryland agricultural ecology. It is a vital source of dietary protein to millions of populaces living in low-income countries in South-East Asia and Africa. This study highlights the improvement of genomic properties and their application in marker-trait relationships for 17 yield-related characters in 400 grass pea genotypes from China and Bangladesh. These characters were assessed via 56 polymorphic markers using general linear model (GLM) (P+G+Q) and mixed linear model (MLM) (P+G+Q+K) in the tassel software based on the linkage disequilibrium and population structure analysis.… More >

  • Open Access

    ARTICLE

    Association between Mental Health Literacy and Workplace Well-Being of Chinese Grassroots Civil Servants: The Chain Mediating Effects of Regulatory Emotional Self-Efficacy and Resilience

    Yi Tang1, Yajun Zhao2, Zihan Jin3, Shengnan Wu1,*, Zhijun Zhang4, Ju Zhou1, Ling Zhou5

    International Journal of Mental Health Promotion, Vol.26, No.7, pp. 559-568, 2024, DOI:10.32604/ijmhp.2024.050822 - 30 July 2024

    Abstract This study aimed to investigate the relationship between mental health literacy (MHL) and workplace well-being (WWB) of Chinese grassroots civil servants, with regulatory emotional self-efficacy (RESE) and resilience as mediating variables. A questionnaire survey was conducted among Chinese grassroots civil servants, with a valid sample size of 2673 after excluding missing values and conducting relevant data processing. The PROCESS was used to examine the relationship between MHL, RESE, resilience, and WWB. The study found that MHL among grassroots civil servants was positively and significantly correlated with WWB (r = 0.73, p < 0.01). RESE partially mediated… More >

  • Open Access

    ARTICLE

    E2E-MFERC: A Multi-Face Expression Recognition Model for Group Emotion Assessment

    Lin Wang1, Juan Zhao2, Hu Song3, Xiaolong Xu4,*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1105-1135, 2024, DOI:10.32604/cmc.2024.048688 - 25 April 2024

    Abstract In smart classrooms, conducting multi-face expression recognition based on existing hardware devices to assess students’ group emotions can provide educators with more comprehensive and intuitive classroom effect analysis, thereby continuously promoting the improvement of teaching quality. However, most existing multi-face expression recognition methods adopt a multi-stage approach, with an overall complex process, poor real-time performance, and insufficient generalization ability. In addition, the existing facial expression datasets are mostly single face images, which are of low quality and lack specificity, also restricting the development of this research. This paper aims to propose an end-to-end high-performance multi-face… More >

  • Open Access

    REVIEW

    Crossroads: Pathogenic role and therapeutic targets of neutrophil extracellular traps in rheumatoid arthritis

    YANG LI1,2, JIAN LIU1,3,*, YUEDI HU1,2, CHENGZHI CONG1,2, YIMING CHEN1,2, QIAO ZHOU1,2

    BIOCELL, Vol.48, No.1, pp. 9-19, 2024, DOI:10.32604/biocell.2023.045862 - 30 January 2024

    Abstract Rheumatoid arthritis (RA) is a prevalent autoimmune disease whose main features include chronic synovial inflammation, bone destruction, and joint degeneration. Neutrophils are often considered to be the first responders to inflammation and are a key presence in the inflammatory milieu of RA. Neutrophil extracellular traps (NETs), a meshwork of DNA-histone complexes and proteins released by activated neutrophils, are widely involved in the pathophysiology of autoimmune diseases, especially RA, in addition to playing a key role in the neutrophil innate immune response. NETs have been found to be an important source of citrullinated autoantigen antibodies and More > Graphic Abstract

    Crossroads: Pathogenic role and therapeutic targets of neutrophil extracellular traps in rheumatoid arthritis

  • Open Access

    ARTICLE

    Introgression of Drought Tolerance into Elite Basmati Rice Variety through Marker-Assisted Backcrossing

    Muhammad Sabar1,2,#, Shahzad Amir Naveed1,3,4,#,*, Shahid Masood Shah5, Abdul Rehman Khan5, Muhammad Musaddiq Shah6, Tahir Awan1, Muhammad Ramzan Khan3, Zaheer Abbas3, Muhammad Arif1,7,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1421-1438, 2023, DOI:10.32604/phyton.2023.025801 - 09 March 2023

    Abstract Drought is one of the major abiotic threat to rice production in the context of climate change. Super Basmati is an elite, fine grain basmati rice variety grown in Punjab, Pakistan. Due to drought sensitive in nature, its yield has been facing an alarming situation in production because of gradual decrease in irrigated water for a couple of years. Three reported novel QTLs for drought tolerance were selected for incorporation into Super Basmati by employing marker assisted selection strategy. IR55419-04 with novel QTLs was used as a donor parent. Foreground selection was performed by applying… More >

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