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  • Open Access

    ARTICLE

    LINC complex independent perinuclear actin organization and cell migration

    ANDREA FRACCHIA1,2, GABI GERLITZ1,*

    BIOCELL, Vol.46, No.4, pp. 931-935, 2022, DOI:10.32604/biocell.2022.018179

    Abstract The link of the metazoan nucleus to the actin cytoskeleton is highly important for actin polymerization and migration of multiple cell types as well as for mechanotransduction and even affects the cellular transcriptome. Several mechanisms of organization of actin filaments next to the nuclear envelope have been identified. Among these mechanisms the most studied one is the Linker of nucleoskeleton and cytoskeleton (LINC) complex-dependent perinuclear actin organization. However, recently additional mechanisms have been identified: an Actin-related protein-2/3 (Arp2/3)-dependent perinuclear actin polymerization during migration of dendritic cells and a perinuclear actin rim that is formed in response to external force application… More >

  • Open Access

    ARTICLE

    CDK5 inhibition promotes osteoblastic differentiation of MSCs and blocks the migration of osteosarcoma MG-63 cells

    HONG FU1, HAOYU ZHAO1, YALI YANG1, SIYU WANG1, KE DUAN2,*, TAILIN GUO1,*

    BIOCELL, Vol.46, No.4, pp. 1067-1078, 2022, DOI:10.32604/biocell.2022.017435

    Abstract CDK5 belongs to the cyclin-dependent kinase family. CDK5 is multifunctional and plays an important role in neural differentiation. However, the role of CDK5 in osteoblastic differentiation remains unclear. The present study investigated functions and molecular mechanism of CDK5 in osteoblastic differentiation. It was found that, CDK5 inhibition promoted the expression of Runx2, ALP, OCN and OPN of MSCs and the mineralization of MC-3T3E1 cells and MSCs. CDK5 inhibition enhanced the development of F-actin, nuclear localization of β-catenin and YAP, as well as the expression of RMRP RNA. When F-actin was suppressed by Blebbistatin, the nuclear localization of YAP and β-catenin,… More >

  • Open Access

    ARTICLE

    Live Migration of Virtual Machines Using a Mamdani Fuzzy Inference System

    Tahir Alyas1, Iqra Javed1, Abdallah Namoun2, Ali Tufail2, Sami Alshmrany2, Nadia Tabassum3,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3019-3033, 2022, DOI:10.32604/cmc.2022.019836

    Abstract Efforts were exerted to enhance the live virtual machines (VMs) migration, including performance improvements of the live migration of services to the cloud. The VMs empower the cloud users to store relevant data and resources. However, the utilization of servers has increased significantly because of the virtualization of computer systems, leading to a rise in power consumption and storage requirements by data centers, and thereby the running costs. Data center migration technologies are used to reduce risk, minimize downtime, and streamline and accelerate the data center move process. Indeed, several parameters, such as non-network overheads and downtime adjustment, may impact… More >

  • Open Access

    ARTICLE

    An Efficient On-Demand Virtual Machine Migration in Cloud Using Common Deployment Model

    C. Saravanakumar1,*, R. Priscilla1, B. Prabha2, A. Kavitha3, M. Prakash4, C. Arun5

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 245-256, 2022, DOI:10.32604/csse.2022.022122

    Abstract Cloud Computing provides various services to the customer in a flexible and reliable manner. Virtual Machines (VM) are created from physical resources of the data center for handling huge number of requests as a task. These tasks are executed in the VM at the data center which needs excess hosts for satisfying the customer request. The VM migration solves this problem by migrating the VM from one host to another host and makes the resources available at any time. This process is carried out based on various algorithms which follow a predefined capacity of source VM leads to the capacity… More >

  • Open Access

    ARTICLE

    Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection

    S. Prakash1,*, M. Vinoth Kumar2, R. Saravana Ram3, Miodrag Zivkovic4, Nebojsa Bacanin4, Milos Antonijevic4

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 735-749, 2022, DOI:10.32604/csse.2022.020533

    Abstract Breast cancer has become the second leading cause of death among women worldwide. In India, a woman is diagnosed with breast cancer every four minutes. There has been no known basis behind it, and detection is extremely challenging among medical scientists and researchers due to unknown reasons. In India, the ratio of women being identified with breast cancer in urban areas is 22:1. Symptoms for this disease are micro calcification, lumps, and masses in mammogram images. These sources are mostly used for early detection. Digital mammography is used for breast cancer detection. In this study, we introduce a new hybrid… More >

  • Open Access

    ARTICLE

    Elp3 modulates neural crest and colorectal cancer migration requiring functional integrity of HAT and SAM domains

    XIANGCAI YANG1,2,*, YA XU3, SHUTING MEI1, JIEJING LI3,*

    BIOCELL, Vol.46, No.2, pp. 463-470, 2022, DOI:10.32604/biocell.2021.014834

    Abstract Cell migration is a finely tuned biological process that often involves epithelial-mesenchymal transition (EMT). EMT is typically characterized by the upregulation of mesenchymal markers such as Snail1. This process has been shown to be of critical importance to normal developmental processes, including neural crest migration and invasion. Interestingly, similar mechanisms are utilized in disease processes, such as tumor metastasis and migration. Notably, EMT and EMT-like processes confer tumor cells with the ability to migrate, invade, and adopt stem cell-like properties that largely account for immunosuppression and tumor recurrence. Therefore, identifying sensitive EMT markers may contribute to cancer prognosis and diagnosis… More >

  • Open Access

    ARTICLE

    Facial Expression Recognition Using Enhanced Convolution Neural Network with Attention Mechanism

    K. Prabhu1,*, S. SathishKumar2, M. Sivachitra3, S. Dineshkumar2, P. Sathiyabama4

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 415-426, 2022, DOI:10.32604/csse.2022.019749

    Abstract Facial Expression Recognition (FER) has been an interesting area of research in places where there is human-computer interaction. Human psychology, emotions and behaviors can be analyzed in FER. Classifiers used in FER have been perfect on normal faces but have been found to be constrained in occluded faces. Recently, Deep Learning Techniques (DLT) have gained popularity in applications of real-world problems including recognition of human emotions. The human face reflects emotional states and human intentions. An expression is the most natural and powerful way of communicating non-verbally. Systems which form communications between the two are termed Human Machine Interaction (HMI)… More >

  • Open Access

    ARTICLE

    Allocation and Migration of Virtual Machines Using Machine Learning

    Suruchi Talwani1, Khaled Alhazmi2,*, Jimmy Singla1, Hasan J. Alyamani3, Ali Kashif Bashir4

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3349-3364, 2022, DOI:10.32604/cmc.2022.020473

    Abstract Cloud computing promises the advent of a new era of service boosted by means of virtualization technology. The process of virtualization means creation of virtual infrastructure, devices, servers and computing resources needed to deploy an application smoothly. This extensively practiced technology involves selecting an efficient Virtual Machine (VM) to complete the task by transferring applications from Physical Machines (PM) to VM or from VM to VM. The whole process is very challenging not only in terms of computation but also in terms of energy and memory. This research paper presents an energy aware VM allocation and migration approach to meet… More >

  • Open Access

    ARTICLE

    Propofol inhibits cells migration and invasion via HOTAIR/miR-93/HIF-1α-mediated lactate secretion in colon cancer

    RUONAN GU1,2, WENJING GUO2, WENYANG WANG1, GUIHUAN LI1, XIAOJU LAI1, ZHIBIN HUANG1, WANLU ZHAO1, ZHICONG WU1, HUA CHEN1, WENYANG LUO1, FANGYIN ZENG3,*, FAN DENG1,*

    BIOCELL, Vol.45, No.6, pp. 1585-1599, 2021, DOI:10.32604/biocell.2021.017016

    Abstract Propofol, a common intravenous anesthetic used in clinical, has been shown to regulate cells proliferation, inflammation, angiogenesis and metastasis as well as exerting anti-cancer effect in several different types of cancer. However, the functions and mechanisms of propofol in lactate secretion and invasion of cancer cells remain unknown. The primary aim of this study was to investigate the role of propofol in cells migration and invasion of colon cancer (CRC). Scratches assay, Transwell assay were used to detect colon cells migration and invasion. Real-time Quantitative Polymerase Chain Reaction (RT-qPCR), Western blotting were utilized to detect the expression of related molecules.… More >

  • Open Access

    ARTICLE

    Container Application Migration Algorithm in Internet of Vehicles

    Xiaoliang Lin1,*, Junxiao Shi1, Yanbo Wang1, Chenyang Liu1, Bin Lu1, Siwen Xu2

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 915-926, 2021, DOI:10.32604/iasc.2021.018513

    Abstract Internet of Vehicles (IoV) is a popular application scenario that combines edge computing and the Internet of Things. Among them, service migration caused by IoV application mobility is a research hotspot in this field. This paper studies the migration strategy of container applications based on edge computing in the IoV business scenario. In order to solve the difficulty in selecting the target server of the application to be migrated in the crossroads scenario, this paper converts the migration decision to the shortest path problem based on dynamic programming, and obtains the best migration choice at the current time by finding… More >

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