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Search Results (27)
  • Open Access

    REVIEW

    Revolutionizing stem cell research: unbiased insights through single-cell sequencing

    HAO WU#, NA HUO#, SITUO WANG, ZIWEI LIU, YI JIANG*, QUAN SHI*

    BIOCELL, Vol.48, No.11, pp. 1531-1542, 2024, DOI:10.32604/biocell.2024.054278 - 07 November 2024

    Abstract Stem cells have shown great application potential in wound repair, tissue regeneration, and disease treatment. Therefore, a full understanding of stem cells and their related regulatory mechanisms in disease treatment is conducive to improving the therapeutic effect of stem cells. However, thus far, there are still many unsolved mysteries in the field of stem cells due to technical limitations, which hinder the in-depth exploration of stem cells and their wide clinical application. Single-cell sequencing (SCS) has provided very powerful and unbiased insights into cell gene expression profiles at the single-cell level, bringing exciting results to More >

  • Open Access

    ARTICLE

    Hierarchical Optimization Method for Federated Learning with Feature Alignment and Decision Fusion

    Ke Li1,*, Xiaofeng Wang1,2,*, Hu Wang1

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1391-1407, 2024, DOI:10.32604/cmc.2024.054484 - 15 October 2024

    Abstract In the realm of data privacy protection, federated learning aims to collaboratively train a global model. However, heterogeneous data between clients presents challenges, often resulting in slow convergence and inadequate accuracy of the global model. Utilizing shared feature representations alongside customized classifiers for individual clients emerges as a promising personalized solution. Nonetheless, previous research has frequently neglected the integration of global knowledge into local representation learning and the synergy between global and local classifiers, thereby limiting model performance. To tackle these issues, this study proposes a hierarchical optimization method for federated learning with feature alignment… More >

  • Open Access

    ARTICLE

    Single-cell transcriptomics reveals T-cell heterogeneity and immunomodulatory role of CD4+ T native cells in Candida albicans infection

    KERAN JIA1, YANHAO ZHANG1, MENGYU JIANG2, MENGGE CUI2, JIA WANG2, JIAJIA ZHANG2, HUIHAI ZHAO2, MENGYAN LI2, HUA WANG2, QUANMING ZOU1,#,*, HAO ZENG1,#,*

    BIOCELL, Vol.48, No.9, pp. 1355-1368, 2024, DOI:10.32604/biocell.2024.051383 - 04 September 2024

    Abstract Objective: Candida albicans is a common fungal pathogen that triggers complex host defense mechanisms, including coordinated innate and adaptive immune responses, to neutralize invading fungi effectively. Exploring the immune microenvironment has the potential to inform the development of therapeutic strategies for fungal infections. Methods: The study analyzed individual immune cell profiles in peripheral blood mononuclear cells from Candida albicans-infected mice and healthy control mice using single-cell transcriptomics, fluorescence quantitative PCR, and Western blotting. We investigated intergroup differences in the dynamics of immune cell subpopulation infiltration, pathway enrichment, and differentiation during Candida albicans infection. Results: Our findings indicate that infiltration… More >

  • Open Access

    ARTICLE

    SCIRD: Revealing Infection of Malicious Software in Edge Computing-Enabled IoT Networks

    Jiehao Ye, Wen Cheng, Xiaolong Liu, Wenyi Zhu, Xuan’ang Wu, Shigen Shen*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2743-2769, 2024, DOI:10.32604/cmc.2024.049985 - 15 May 2024

    Abstract The Internet of Things (IoT) has characteristics such as node mobility, node heterogeneity, link heterogeneity, and topology heterogeneity. In the face of the IoT characteristics and the explosive growth of IoT nodes, which brings about large-scale data processing requirements, edge computing architecture has become an emerging network architecture to support IoT applications due to its ability to provide powerful computing capabilities and good service functions. However, the defense mechanism of Edge Computing-enabled IoT Nodes (ECIoTNs) is still weak due to their limited resources, so that they are susceptible to malicious software spread, which can compromise… More >

  • Open Access

    ARTICLE

    Effect of Modulus Heterogeneity on the Equilibrium Shape and Stress Field of α Precipitate in Ti-6Al-4V

    Di Qiu1,3,4, Rongpei Shi2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 1017-1028, 2024, DOI:10.32604/cmes.2024.048797 - 16 April 2024

    Abstract For media with inclusions (e.g., precipitates, voids, reinforcements, and others), the difference in lattice parameter and the elastic modulus between the matrix and inclusions cause stress concentration at the interfaces. These stress fields depend on the inclusions’ size, shape, and distribution and will respond instantly to the evolving microstructure. This study develops a phase-field model concerning modulus heterogeneity. The effect of modulus heterogeneity on the growth process and equilibrium state of the α plate in Ti-6Al-4V during precipitation is evaluated. The α precipitate exhibits strong anisotropy in shape upon cooling due to the interplay of the… More >

  • Open Access

    ARTICLE

    A Coupled Thermomechanical Crack Propagation Behavior of Brittle Materials by Peridynamic Differential Operator

    Tianyi Li1,2, Xin Gu2, Qing Zhang2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 339-361, 2024, DOI:10.32604/cmes.2024.047566 - 16 April 2024

    Abstract This study proposes a comprehensive, coupled thermomechanical model that replaces local spatial derivatives in classical differential thermomechanical equations with nonlocal integral forms derived from the peridynamic differential operator (PDDO), eliminating the need for calibration procedures. The model employs a multi-rate explicit time integration scheme to handle varying time scales in multi-physics systems. Through simulations conducted on granite and ceramic materials, this model demonstrates its effectiveness. It successfully simulates thermal damage behavior in granite arising from incompatible mineral expansion and accurately calculates thermal crack propagation in ceramic slabs during quenching. To account for material heterogeneity, the More >

  • Open Access

    ARTICLE

    The Influence of Internet Use on Women’s Depression and Its Countermeasures—Empirical Analysis Based on Data from CFPS

    Dengke Xu1, Linlin Shen1, Fangzhong Xu2,*

    International Journal of Mental Health Promotion, Vol.26, No.3, pp. 229-238, 2024, DOI:10.32604/ijmhp.2024.046023 - 08 April 2024

    Abstract Based on China Family Panel Studies (CFPS) 2018 data, the multiple linear regression model is used to analyze the effects of Internet use on women’s depression, and to test the robustness of the regression results. At the same time, the effects of Internet use on mental health of women with different residence, age, marital status and physical health status are analyzed. Then, we can obtain that Internet use has a significant promoting effect on women’s mental health, while the degree of Internet use has a significant inhibitory effect on women’s mental health. In addition, the… More >

  • Open Access

    REVIEW

    Clinical implications of single cell sequencing for bladder cancer

    REZA YADOLLAHVANDMIANDOAB1,#, MEHRSA JALALIZADEH1,#, FRANCIELE APARECIDA VECHIA DIONATO1, KEINI BUOSI1, PATRÍCIA A. F. LEME1, LUCIANA S. B. DAL COL1, CRISTIANE F. GIACOMELLI1, ALEX DIAS ASSIS1, NASIM BASHIRICHELKASARI1, LEONARDO OLIVEIRA REIS1,2,*

    Oncology Research, Vol.32, No.4, pp. 597-605, 2024, DOI:10.32604/or.2024.045442 - 20 March 2024

    Abstract Bladder cancer (BC) is the 10th most common cancer worldwide, with about 0.5 million reported new cases and about 0.2 million deaths per year. In this scoping review, we summarize the current evidence regarding the clinical implications of single-cell sequencing for bladder cancer based on PRISMA guidelines. We searched PubMed, CENTRAL, Embase, and supplemented with manual searches through the Scopus, and Web of Science for published studies until February 2023. We included original studies that used at least one single-cell technology to study bladder cancer. Forty-one publications were included in the review. Twenty-nine studies showed… More > Graphic Abstract

    Clinical implications of single cell sequencing for bladder cancer

  • Open Access

    REVIEW

    The heterogeneity of tumor-associated macrophages and strategies to target it

    HAO LV1, BO ZHU1,2, DEGAO CHEN1,2,*

    BIOCELL, Vol.48, No.3, pp. 363-378, 2024, DOI:10.32604/biocell.2023.046367 - 15 March 2024

    Abstract Tumor-associated macrophages (TAMs) are emerging as targets for tumor therapy because of their primary role in promoting tumor progression. Several studies have been conducted to target TAMs by reducing their infiltration, depleting their numbers, and reversing their phenotypes to suppress tumor progression, leading to the development of drugs in preclinical and clinical trials. However, the heterogeneous characteristics of TAMs, including their ontogenetic and functional heterogeneity, limit their targeting. Therefore, in-depth exploration of the heterogeneity of TAMs, combined with immune checkpoint therapy or other therapeutic modalities could improve the efficiency of tumor treatment. This review focuses More >

  • Open Access

    EDITORIAL

    Editorial: Transcriptome analysis in tumor microenvironment and tumor heterogeneity

    JINHUI LIU1,*, JIAHENG XIE2,*, PEIXIN DONG3

    Oncology Research, Vol.32, No.1, pp. 99-100, 2024, DOI:10.32604/or.2023.045719 - 15 November 2023

    Abstract This article has no abstract. More >

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