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  • Open Access

    REVIEW

    Aldo-keto reductases: Role in cancer development and theranostics

    SIDDAVARAM NAGINI1, PRATHAP REDDY KALLAMADI2, KRANTHI KIRAN KISHORE TANAGALA3, GEEREDDY BHANUPRAKASH REDDY2,*

    Oncology Research, Vol.32, No.8, pp. 1287-1308, 2024, DOI:10.32604/or.2024.049918

    Abstract Aldo-keto reductases (AKRs) are a superfamily of enzymes that play crucial roles in various cellular processes, including the metabolism of xenobiotics, steroids, and carbohydrates. A growing body of evidence has unveiled the involvement of AKRs in the development and progression of various cancers. AKRs are aberrantly expressed in a wide range of malignant tumors. Dysregulated expression of AKRs enables the acquisition of hallmark traits of cancer by activating oncogenic signaling pathways and contributing to chemoresistance. AKRs have emerged as promising oncotherapeutic targets given their pivotal role in cancer development and progression. Inhibition of aldose reductase… More >

  • Open Access

    REVIEW

    IoMT-Based Healthcare Systems: A Review

    Tahir Abbas1,*, Ali Haider Khan2, Khadija Kanwal3, Ali Daud4,*, Muhammad Irfan5, Amal Bukhari6, Riad Alharbey6

    Computer Systems Science and Engineering, Vol.48, No.4, pp. 871-895, 2024, DOI:10.32604/csse.2024.049026

    Abstract The integration of the Internet of Medical Things (IoMT) and the Internet of Things (IoT), which has revolutionized patient care through features like remote critical care and real-time therapy, is examined in this study in response to the changing healthcare landscape. Even with these improvements, security threats are associated with the increased connectivity of medical equipment, which calls for a thorough assessment. With a primary focus on addressing security and performance enhancement challenges, the research classifies current IoT communication devices, examines their applications in IoMT, and investigates important aspects of IoMT devices in healthcare. The More >

  • Open Access

    ARTICLE

    Reducing the Encrypted Data Size: Healthcare with IoT-Cloud Computing Applications

    Romaissa Kebache1, Abdelkader Laouid1,*, Ahcene Bounceur2, Mostefa Kara1,3, Konstantinos Karampidis4, Giorgos Papadourakis4, Mohammad Hammoudeh2

    Computer Systems Science and Engineering, Vol.48, No.4, pp. 1055-1072, 2024, DOI:10.32604/csse.2024.048738

    Abstract Internet cloud services come at a price, especially when they provide top-tier security measures. The cost incurred by cloud utilization is directly proportional to the storage requirements. Companies are always looking to increase profits and reduce costs while preserving the security of their data by encrypting them. One of the offered solutions is to find an efficient encryption method that can store data in a much smaller space than traditional encryption techniques. This article introduces a novel encryption approach centered on consolidating information into a single ciphertext by implementing Multi-Key Embedded Encryption (MKEE). The effectiveness… More >

  • Open Access

    ARTICLE

    Intelligent Image Text Detection via Pixel Standard Deviation Representation

    Sana Sahar Guia1, Abdelkader Laouid1, Mohammad Hammoudeh2,*, Mostafa Kara1,3

    Computer Systems Science and Engineering, Vol.48, No.4, pp. 915-935, 2024, DOI:10.32604/csse.2024.046414

    Abstract Artificial intelligence has been involved in several domains. Despite the advantages of using artificial intelligence techniques, some crucial limitations prevent them from being implemented in specific domains and locations. The accuracy, poor quality of gathered data, and processing time are considered major concerns in implementing machine learning techniques, certainly in low-end smart devices. This paper aims to introduce a novel pre-treatment technique dedicated to image text detection that uses the images’ pixel divergence and similarity to reduce the image size. Mitigating the image size while keeping its features improves the model training time with an… More >

  • Open Access

    ARTICLE

    Dynamic Hypergraph Modeling and Robustness Analysis for SIoT

    Yue Wan, Nan Jiang*, Ziyu Liu

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 3017-3034, 2024, DOI:10.32604/cmes.2024.051101

    Abstract The Social Internet of Things (SIoT) integrates the Internet of Things (IoT) and social networks, taking into account the social attributes of objects and diversifying the relationship between humans and objects, which overcomes the limitations of the IoT’s focus on associations between objects. Artificial Intelligence (AI) technology is rapidly evolving. It is critical to build trustworthy and transparent systems, especially with system security issues coming to the surface. This paper emphasizes the social attributes of objects and uses hypergraphs to model the diverse entities and relationships in SIoT, aiming to build an SIoT hypergraph generation… More >

  • Open Access

    ARTICLE

    A Novel Graph Structure Learning Based Semi-Supervised Framework for Anomaly Identification in Fluctuating IoT Environment

    Weijian Song1,, Xi Li1,, Peng Chen1,*, Juan Chen1, Jianhua Ren2, Yunni Xia3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 3001-3016, 2024, DOI:10.32604/cmes.2024.048563

    Abstract With the rapid development of Internet of Things (IoT) technology, IoT systems have been widely applied in healthcare, transportation, home, and other fields. However, with the continuous expansion of the scale and increasing complexity of IoT systems, the stability and security issues of IoT systems have become increasingly prominent. Thus, it is crucial to detect anomalies in the collected IoT time series from various sensors. Recently, deep learning models have been leveraged for IoT anomaly detection. However, owing to the challenges associated with data labeling, most IoT anomaly detection methods resort to unsupervised learning techniques.… More >

  • Open Access

    ARTICLE

    The MtRGF6 Peptide Differentially Regulates Root Development and Symbiotic Nodulation of Medicago truncatula and Lotus japonicus

    Junhui Yan1, Yawen Wang1, Qiong Li1, Yu Zhou2, Xu Wang2,*, Li Luo1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1237-1248, 2024, DOI:10.32604/phyton.2024.051517

    Abstract Rhizobia induces nitrogen-fixing nodules in legumes used in agricultural production, providing a direct source of combined nitrogen to leguminous crops. Small peptides, such as CLAVATA3/EMBRYO SURROUNDING REGION peptides (CLE), are known to regulate the formation and development of nitrogen-fixing nodules in legumes. Root meristem growth factor (RGF) peptides from Medicago truncatula not only regulate root development but also modulate nodulation symbiosis with Sinorhizobium meliloti. However, the impact of RGF peptides from one leguminous species on the others remains unclear. In this study, we investigate the effects of the RGF family peptide MtRGF6p from M. truncatula on nodulation symbiosis… More >

  • Open Access

    REVIEW

    The Correlation between Nutrition and Transport Mechanism under Abiotic Stress in Plants: A Comprehensive Review

    Muhammad Saleem1, Jianhua Zhang1, Muhammad Qasim2, Rashid Iqbal3, Li Song1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1325-1344, 2024, DOI:10.32604/phyton.2024.048493

    Abstract Variations in the nutrients and water that plants require for metabolism, development, and the maintenance of cellular homeostasis are the main causes of abiotic stress in plants. It has, however, hardly ever been studied how these transporter proteins, such as aquaporin which is responsible for food and water intake in cell plasma membranes, interact with one another. This review aims to explore the interactions between nutrient transporters and aquaporins during water and nutrient uptake. It also investigates how symbiotic relationships influence the plant genome’s responses to regulatory processes such as photoperiodism, senescence, and nitrogen fixation. More >

  • Open Access

    ARTICLE

    Vector Dominance with Threshold Searchable Encryption (VDTSE) for the Internet of Things

    Jingjing Nie1,*, Zhenhua Chen2

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4763-4779, 2024, DOI:10.32604/cmc.2024.051181

    Abstract The Internet of Medical Things (IoMT) is an application of the Internet of Things (IoT) in the medical field. It is a cutting-edge technique that connects medical sensors and their applications to healthcare systems, which is essential in smart healthcare. However, Personal Health Records (PHRs) are normally kept in public cloud servers controlled by IoMT service providers, so privacy and security incidents may be frequent. Fortunately, Searchable Encryption (SE), which can be used to execute queries on encrypted data, can address the issue above. Nevertheless, most existing SE schemes cannot solve the vector dominance threshold… More >

  • Open Access

    ARTICLE

    Exploring Multi-Task Learning for Forecasting Energy-Cost Resource Allocation in IoT-Cloud Systems

    Mohammad Aldossary1,*, Hatem A. Alharbi2, Nasir Ayub3

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4603-4620, 2024, DOI:10.32604/cmc.2024.050862

    Abstract Cloud computing has become increasingly popular due to its capacity to perform computations without relying on physical infrastructure, thereby revolutionizing computer processes. However, the rising energy consumption in cloud centers poses a significant challenge, especially with the escalating energy costs. This paper tackles this issue by introducing efficient solutions for data placement and node management, with a clear emphasis on the crucial role of the Internet of Things (IoT) throughout the research process. The IoT assumes a pivotal role in this study by actively collecting real-time data from various sensors strategically positioned in and around… More >

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