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  • Open Access

    ARTICLE

    Hyperspectral Image Based Interpretable Feature Clustering Algorithm

    Yaming Kang1,*, Peishun Ye1, Yuxiu Bai1, Shi Qiu2

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2151-2168, 2024, DOI:10.32604/cmc.2024.049360

    Abstract Hyperspectral imagery encompasses spectral and spatial dimensions, reflecting the material properties of objects. Its application proves crucial in search and rescue, concealed target identification, and crop growth analysis. Clustering is an important method of hyperspectral analysis. The vast data volume of hyperspectral imagery, coupled with redundant information, poses significant challenges in swiftly and accurately extracting features for subsequent analysis. The current hyperspectral feature clustering methods, which are mostly studied from space or spectrum, do not have strong interpretability, resulting in poor comprehensibility of the algorithm. So, this research introduces a feature clustering algorithm for hyperspectral… More >

  • Open Access

    REVIEW

    Therapeutic and regenerative potential of different sources of mesenchymal stem cells for cardiovascular diseases

    YARA ALZGHOUL, HALA J. BANI ISSA, AHMAD K. SANAJLEH, TAQWA ALABDUH, FATIMAH RABABAH, MAHA AL-SHDAIFAT, EJLAL ABU-EL-RUB*, FATIMAH ALMAHASNEH, RAMADA R. KHASAWNEH, AYMAN ALZU’BI, HUTHAIFA MAGABLEH

    BIOCELL, Vol.48, No.4, pp. 559-569, 2024, DOI:10.32604/biocell.2024.048056

    Abstract Mesenchymal stem cells (MSCs) are ideal candidates for treating many cardiovascular diseases. MSCs can modify the internal cardiac microenvironment to facilitate their immunomodulatory and differentiation abilities, which are essential to restore heart function. MSCs can be easily isolated from different sources, including bone marrow, adipose tissues, umbilical cord, and dental pulp. MSCs from various sources differ in their regenerative and therapeutic abilities for cardiovascular disorders. In this review, we will summarize the therapeutic potential of each MSC source for heart diseases and highlight the possible molecular mechanisms of each source to restore cardiac function. More >

  • 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

    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

    ARTICLE

    RADIO FREQUENCY HEATING OF IMPLANTED TISSUE ENGINEERED SCAFFOLDS: SIMULATION AND EXPERIMENTAL STUDIES

    Mohammad Izadifara,b,*, Xiongbiao Chena,b

    Frontiers in Heat and Mass Transfer, Vol.3, No.4, pp. 1-7, 2012, DOI:10.5098/hmt.v3.4.3004

    Abstract Heat can be potentially used for accelerating biodegradation of implanted tissue engineered scaffolds. Cyclic and continuous radio frequency (RF) heating was applied to implanted chitosan and alginate scaffolds at 4 applied voltages, 3 frequencies, and 2 thermally conditioning environments. A 3D finite element model was developed to simulate the RF treatment. A uniform RF heating was achieved at the scaffold top. For alginate, voltage was the only significant RF heating factor while both frequency and voltage significantly affected RF heating of chitosan. Less temperature gradient across the scaffold was achieved at a conditioning environment at More >

  • Open Access

    ARTICLE

    EX VIVO LIVER TISSUE RADIOFREQUENCY THERMAL ABLATION: IR MEASUREMENTS AND SIMULATIONS

    Edoardo Gino Macchi* , Giovanni Braschi, Mario Gallati

    Frontiers in Heat and Mass Transfer, Vol.5, pp. 1-8, 2014, DOI:10.5098/hmt.5.20

    Abstract Radiofrequency thermal ablation (RFTA) is a medical procedure currently widely adopted for liver tumors treatment. Its outcome is strongly influenced by temperature distribution near the RF applicator therefore continuous measurements are required both to validate RFTA numerical models and to better control the outcome of the procedure. The space-time evolution of the thermal field during RFTA on ex vivo porcine liver tissue has been measured by infrared thermal imaging in different experimental setups. A three-dimensional simulation of the whole experiment reproduces all the features of the thermal field measurements and validates the proposed measurement methodology. More >

  • Open Access

    PROCEEDINGS

    Characterizing Nonhomogeneous Variation in Material Properties of Soft Tissues

    Yue Mei1,*, Stéphane Avril2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09064

    Abstract Characterizing nonhomogeneous variation in material properties of soft tissues has wide application in biomedical engineering and clinical medicine, including but not limited to cancerous disease detection and patient-specific surgical planning of cardiovascular diseases. With the advancement of imaging techniques, we are capable of acquiring not only the geometry of soft tissues in vivo, but also the associated deformation in the physiological state. With the obtained displacement data, the nonhomogeneous material property distribution of soft tissues can be determined by solving inverse problem in elasticity. In this presentation, we will present our recent work on identification More >

  • Open Access

    PROCEEDINGS

    Identification of Constitutive Parameters for the Non-Local Damage Model of Soft Biological Tissues

    Taotao Yuan1, Haitian Yang1, Yiqian He1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09275

    Abstract Computational modeling can provide insight into understanding the damage mechanisms of soft biological tissues, and identification of constitutive parameters is key issues in the computational modeling. On the other hand, although it is thought that computational model should be non-local for soft tissues based on the existence of intrinsic length scales, there is very few work for the identification of the parameters of nonlocal damage models of soft tissues. Firstly, we use the gradient-enhanced damage model presented in our previous publication showing advantages in considering the internal length scales and in satisfying mesh independence for More >

  • Open Access

    PROCEEDINGS

    Hydrogels with Brain Tissue-Like Mechanical Properties in Complex Environments

    Jingyu Wang1,#, Yongrou Zhang4,#, Zuyue Lei1, Junqi Wang1, Yangming Zhao1, Taolin Sun3,*, Zhenyu Jiang1, Licheng Zhou1, Zejia Liu1, Yiping Liu1, Bao Yang1, Liqun Tang1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2022.08829

    Abstract In surgical training applications and experimental research, brain tissues immersed in cerebrospinal fluid often involve very complex deformation and strain rate effects, which affects their reliability and stability. Thus, it is indispensable to develop a high-fidelity human brain tissue simulant material as a physical surrogate model to understand their mechanical behavior, such as traumatic brain injury (TBI). However, the reported simulant materials have not yet been able to compare and satisfy the above two mechanical properties. Here, we developed a novel composite hydrogel with brain tissue-like mechanical properties and investigated their mechanical behavior in a… More >

  • Open Access

    ARTICLE

    Tissue Culture of Calla Lily (Zantedeschia spreng.): An Updated Review on the Present Scenario and Future Prospects

    Xuan Sun1,2, Xue Wang1, Bijaya Sharma Subedi3, Yin Jiang1,2, Di Wang1,2, Rongxin Gou1,2, Guojun Zhang2, Wenting Xu4,*, Zunzheng Wei1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2413-2428, 2023, DOI:10.32604/phyton.2023.029667

    Abstract The calla lily (Zantedeschia spreng.) is a bulbous flower native to the tropical regions of Africa. Calla lily has gained significant popularity in the international market owing to its intricate morphology and prolonged flowering duration. Despite such advantages, for two sub-groups of calla lily, known as group Zantedeschia and group Aestivae, there are challenges in terms of hybrid production due to the ‘plastome-genome incompatibility’ therebetween. Tissue culture is a fundamental biotechnological tool used in gene editing research, with a focus on disease resistance and flower color in calla lily breeding programs. The present review provides a brief… More >

  • Open Access

    ARTICLE

    SURROGATE-BASED OPTIMIZATION OF THERMAL DAMAGE TO LIVING BIOLOGICAL TISSUES BY LASER IRRADIATION

    Nazia Afrina , Yuwen Zhangb,*

    Frontiers in Heat and Mass Transfer, Vol.12, pp. 1-6, 2019, DOI:10.5098/hmt.12.27

    Abstract The surrogate-based analysis and optimization of thermal damage in living biological tissue by laser irradiation are discussed in this paper. Latin Hypercube Sampling (LHS) and Response Surface Model (RSM) are applied to study the surrogate-based optimization of thermal damage in tissue using a generalized dual-phase lag model. Response value of high temperature as a function of input variables and the relationship of maximum temperature and thermal damage as a function of input variables are investigated. Comparisons of SBO model and simulation results for different sample sizes are examined. The results show that every input variable More >

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