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  • Open Access

    ARTICLE

    An Improved Multi-Objective Particle Swarm Optimization Routing on MANET

    G. Rajeshkumar1,*, M. Vinoth Kumar2, K. Sailaja Kumar3, Surbhi Bhatia4, Arwa Mashat5, Pankaj Dadheech6

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1187-1200, 2023, DOI:10.32604/csse.2023.026137

    Abstract A Mobile Ad hoc Network (MANET) is a group of low-power consumption of wireless mobile nodes that configure a wireless network without the assistance of any existing infrastructure/centralized organization. The primary aim of MANETs is to extend flexibility into the self-directed, mobile, and wireless domain, in which a cluster of autonomous nodes forms a MANET routing system. An Intrusion Detection System (IDS) is a tool that examines a network for malicious behavior/policy violations. A network monitoring system is often used to report/gather any suspicious attacks/violations. An IDS is a software program or hardware system that monitors network/security traffic for malicious… More >

  • Open Access

    ARTICLE

    Behavior of Delivery Robot in Human-Robot Collaborative Spaces During Navigation

    Kiran Jot Singh1, Divneet Singh Kapoor1,*, Mohamed Abouhawwash2,3, Jehad F. Al-Amri4, Shubham Mahajan5, Amit Kant Pandit5

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 795-810, 2023, DOI:10.32604/iasc.2023.025177

    Abstract Navigation is an essential skill for robots. It becomes a cumbersome task for the robot in a human-populated environment, and Industry 5.0 is an emerging trend that focuses on the interaction between humans and robots. Robot behavior in a social setting is the key to human acceptance while ensuring human comfort and safety. With the advancement in robotics technology, the true use cases of robots in the tourism and hospitality industry are expanding in number. There are very few experimental studies focusing on how people perceive the navigation behavior of a delivery robot. A robotic platform named “PI” has been… More >

  • Open Access

    VIEWPOINT

    The cellular microenvironment and cytoskeletal actin dynamics in liver fibrogenesis

    NOUR HIJAZI, DON C. ROCKEY*, ZENGDUN SHI*

    BIOCELL, Vol.46, No.9, pp. 2003-2007, 2022, DOI:10.32604/biocell.2022.020171

    Abstract Hepatic stellate cells (HSCs) are the primary effector cells in liver fibrosis. In the normal liver, HSCs serve as the primary vitamin A storage cells in the body and retain a “quiescent” phenotype. However, after liver injury, they transdifferentiate to an “activated” myofibroblast-like phenotype, which is associated with dramatic upregulation of smooth muscle specific actin and extracellular matrix proteins. The result is a fibrotic, stiff, and dysfunctional liver. Therefore, understanding the molecular mechanisms that govern HSC function is essential for the development of anti-fibrotic medications. The actin cytoskeleton has emerged as a key component of the fibrogenic response in wound… More >

  • Open Access

    ARTICLE

    Automatic Liver Tumor Segmentation in CT Modalities Using MAT-ACM

    S. Priyadarsini1,*, Carlos Andrés Tavera Romero2, Abolfazl Mehbodniya3, P. Vidya Sagar4, Sudhakar Sengan5

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1057-1068, 2022, DOI:10.32604/csse.2022.024788

    Abstract In the recent days, the segmentation of Liver Tumor (LT) has been demanding and challenging. The process of segmenting the liver and accurately spotting the tumor is demanding due to the diversity of shape, texture, and intensity of the liver image. The intensity similarities of the neighboring organs of the liver create difficulties during liver segmentation. The manual segmentation does not provide an accurate segmentation because the results provided by different medical experts can vary. Also, this manual technique requires a large number of image slices and time for segmentation. To solve these issues, the Fully Automatic Segmentation (FAS) technique… More >

  • Open Access

    REVIEW

    Mesenchymal stem cell secretome and nanotechnology: Combining therapeutic strategies

    ADRIANA L. FERREIRA, GUSTAVO C. PARIS, ALINE DE A. AZEVEDO, ERIKA A. C. CORTEZ, SIMONE N. CARVALHO, LAIS DE CARVALHO, ALESSANDRA A. THOLE*

    BIOCELL, Vol.46, No.8, pp. 1807-1813, 2022, DOI:10.32604/biocell.2022.019363

    Abstract Mesenchymal stem cells (MSC) have pushed the field of stem cell-based therapies by inducing tissue regeneration, immunosuppression, and angiogenesis mainly through vesicles and soluble factors release (paracrine signaling). MSC-extracellular vesicles (MSC-EV) adaptable secretome and homing to injured sites allowed researchers to unlock a new era of cell-free based therapy. In parallel, nanoparticles (NP) have been explored in contributing to transport and drug delivery systems, giving drugs desired physical-chemical properties to exploit cell behavior. However, NPs can be quickly recognized by immune cells and cleared from circulation. In this viewpoint, we explore how combining both therapeutic strategies can improve efficacy and… More >

  • Open Access

    ARTICLE

    Classification of Liver Tumors from Computed Tomography Using NRSVM

    S. Priyadarsini1,*, Carlos Andrés Tavera Romero2, M. Mrunalini3, Ganga Rama Koteswara Rao4, Sudhakar Sengan5

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1517-1530, 2022, DOI:10.32604/iasc.2022.024786

    Abstract A classification system is used for Benign Tumors (BT) and Malignant Tumors (MT) in the abdominal liver. Computed Tomography (CT) images based on enhanced RGS is proposed. Diagnosis of liver diseases based on observation using liver CT images is essential for surgery and treatment planning. Identifying the progression of cancerous regions and Classification into Benign Tumors and Malignant Tumors are essential for treating liver diseases. The manual process is time-consuming and leads to intra and inter-observer variability. Hence, an automatic method based on enhanced region growing is proposed for the Classification of Liver Tumors (LT). To enhance the Liver Region… More >

  • Open Access

    VIEWPOINT

    A need for stratification of metastasis samples according to secondary site in gene expression studies

    IVANA SAMARŽIJA1,2,*

    BIOCELL, Vol.46, No.7, pp. 1747-1750, 2022, DOI:10.32604/biocell.2022.018784

    Abstract Comparisons of gene expression profiles between primary tumors and metastasis have revealed genes that are implicated in metastasis formation. However, gene expression studies conducted on metastasis samples from the same primary site usually do not discriminate between different secondary sites. Although the change in the expression of number of genes is expected to be common to metastasis from the same primary but different secondary sites, herein the data that point to substantial differences are presented. Furthermore, the reciprocal communication between metastatic and host cells that is influencing these differences is outlined to emphasize the need for stratification of metastasis samples… More >

  • Open Access

    ARTICLE

    Ex vivo cartilage explant model for the evaluation of chondrocyte-targeted exosomes

    KAN OUYANG1,2,#, MEIQUAN XU3,#, YUJIE LIANG4, XIAO XU2, LIMEI XU2, CAINING WEN1,2, ZHUAN QIN2, YIXIN XIE2, HUAWEI ZHANG5, LI DUAN2,*, DAPING WANG1,2,5,*

    BIOCELL, Vol.46, No.6, pp. 1521-1526, 2022, DOI:10.32604/biocell.2022.018788

    Abstract There is no efficient tracking system available for the therapeutic molecules delivered to cartilage. The dense matrix covering the cartilage surface is the main biological barrier that the therapeutic molecules must overcome. In this study, we aimed to establish a system that can dynamically and effectively track the therapeutic molecules delivered to cartilage. To this aim, we adopted bovine and human cartilage explants as ex vivo models for chondrocyte-targeted exosome dispersion. The efficiency of drug delivery was evaluated using frozen sections. The results of this study showed that the penetration and distribution of chondrocyte-targeted exosomes in cartilage explants can be… More >

  • Open Access

    ARTICLE

    Cloning and Characterization of EuGID1 in Eucommia ulmoides Oliver

    Yulu Chen1, Fen Zhang1, Ju Cai1, Yichen Zhao1,2, Jiaxue Cui1, Yan Li1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 999-1013, 2022, DOI:10.32604/phyton.2022.018984

    Abstract Gibberellic acid controlled the key developmental processes of the life cycle of landing plants, and regulated the growth and development of plants. In this study, a novel gibberellin receptor gene EuGID1 was obtained from Eucommia ulmoides Oliver. The cDNA of EuGID1 was 1556 bp, and the open reading frame was 1029 bp, which encoded 343 amino acids. EuGID1 had the homology sequence with the hormone-sensitive lipase family. Amino acid sequence alignment confirmed EuGID1 protein had the highest homology with the GID1 protein of Manihot esculenta. EuGID1 was located in the nucleus and cell membrane and had expression in four plant organs. Overexpression… More >

  • Open Access

    ARTICLE

    Efficient Computer Aided Diagnosis System for Hepatic Tumors Using Computed Tomography Scans

    Yasmeen Al-Saeed1,2, Wael A. Gab-Allah1, Hassan Soliman1, Maysoon F. Abulkhair3, Wafaa M. Shalash4, Mohammed Elmogy1,*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4871-4894, 2022, DOI:10.32604/cmc.2022.023638

    Abstract One of the leading causes of mortality worldwide is liver cancer. The earlier the detection of hepatic tumors, the lower the mortality rate. This paper introduces a computer-aided diagnosis system to extract hepatic tumors from computed tomography scans and classify them into malignant or benign tumors. Segmenting hepatic tumors from computed tomography scans is considered a challenging task due to the fuzziness in the liver pixel range, intensity values overlap between the liver and neighboring organs, high noise from computed tomography scanner, and large variance in tumors shapes. The proposed method consists of three main stages; liver segmentation using Fast… More >

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