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  • Open Access

    ARTICLE

    Hill Matrix and Radix-64 Bit Algorithm to Preserve Data Confidentiality

    Ali Arshad1,*, Muhammad Nadeem2, Saman Riaz1, Syeda Wajiha Zahra2, Ashit Kumar Dutta3, Zaid Alzaid4, Rana Alabdan5, Badr Almutairi6, Sultan Almotairi4,7

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3065-3089, 2023, DOI:10.32604/cmc.2023.035695

    Abstract There are many cloud data security techniques and algorithms available that can be used to detect attacks on cloud data, but these techniques and algorithms cannot be used to protect data from an attacker. Cloud cryptography is the best way to transmit data in a secure and reliable format. Various researchers have developed various mechanisms to transfer data securely, which can convert data from readable to unreadable, but these algorithms are not sufficient to provide complete data security. Each algorithm has some data security issues. If some effective data protection techniques are used, the attacker will not be able to… More >

  • Open Access

    REVIEW

    Roles of miR-214 in bone physiology and disease

    LAKSHANA SADU#, R.HARI KRISHNAN#, R.L. AKSHAYA, I. SARANYA, UDIPT RANJAN DAS, SNEHA SATISHKUMAR, N. SELVAMURUGAN*

    BIOCELL, Vol.47, No.4, pp. 751-760, 2023, DOI:10.32604/biocell.2023.026911

    Abstract MicroRNAs (miRNAs) are small non-coding RNAs (ncRNAs) that regulate the expression of their target mRNAs post-transcriptionally. Since their discovery, thousands of highly conserved miRNAs have been identified and investigated for their role in human health and diseases. MiR-214 has been increasingly reported to have an association with the regulation of bone metabolism. Reports suggested that miR-214 controls the critical aspects of osteoblasts (bone-forming cells), including their differentiation, proliferation, viability, and migration. Studies have also reported the functional significance of miR-214 in bone diseases and suggested its candidature as a diagnostic and therapeutic target. Further, targeting miR-214 by other ncRNAs, such… More >

  • Open Access

    ARTICLE

    Expression and function of long non-coding RNA DLX6-AS1 in endometrial cancer

    WEI SHI1,2,3,#, JIANXIA LIN1,2,3,#, RONG JIN1,2,3, XIANJING XIE1,2,3, YAN LIANG1,2,3,*

    BIOCELL, Vol.47, No.4, pp. 869-877, 2023, DOI:10.32604/biocell.2023.026037

    Abstract Background: LncRNA DLX6-AS1 has been uncovered to exert effects on various cancers. Nevertheless, the impacts of DLX6-AS1 on endometrial cancer (EC) development remained obscure. The study explored the influence of DLX6-AS1 on EC progression via the microRNA (miR)-374a-3p/zinc-finger protein (ZFX) axis.Methods: EC cell lines were collected and DLX6-AS1, miR-374a-3p, and ZFX levels in EC cell lines were detected. The EC cells were transfected with DLX6-AS1, miR-374a-3p, and ZFX constructs to examine the biological functions of EC cells. The xenograft model was established for detecting tumor growth. Rescue experiments were conducted to verify the interaction of DLX6-AS1, miR-374a-3p, and ZFX in… More > Graphic Abstract

    Expression and function of long non-coding RNA DLX6-AS1 in endometrial cancer

  • Open Access

    ARTICLE

    Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network

    SHAHRAM NEKOEIAN1, TAHEREH ROSTAMI2, AMIR NOROUZY3, SAFIN HUSSEIN1,4, GHOLAMREZA TAVOOSIDANA1, BAHRAM CHAHARDOULI2, SHAHRBANO ROSTAMI2,*, YAZDAN ASGARI5, ZAHRA AZIZI1,*

    Oncology Research, Vol.30, No.6, pp. 259-268, 2022, DOI:10.32604/or.2022.027904

    Abstract Acute lymphoblastic leukemia (ALL) is a malignancy of bone marrow lymphoid precursors. Despite effective treatments, the causes of its progression or recurrence are still unknown. Finding prognostic biomarkers is needed for early diagnosis and more effective treatment. This study was performed to identify long non-coding RNAs (lncRNAs) involved in ALL progression by constructing a competitive endogenous RNA (ceRNA) network. These lncRNAs may serve as potential new biomarkers in the development of ALL. The GSE67684 dataset identified changes in lncRNAs and mRNAs involved in ALL progression. Data from this study were re-analyzed, and probes related to lncRNAs were retrieved. Targetscan, miRTarBase,… More >

  • Open Access

    ARTICLE

    A New Speech Encoder Based on Dynamic Framing Approach

    Renyuan Liu1, Jian Yang1, Xiaobing Zhou1,*, Xiaoguang Yue2,3,4

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1259-1276, 2023, DOI:10.32604/cmes.2023.021995

    Abstract Latent information is difficult to get from the text in speech synthesis. Studies show that features from speech can get more information to help text encoding. In the field of speech encoding, a lot of work has been conducted on two aspects. The first aspect is to encode speech frame by frame. The second aspect is to encode the whole speech to a vector. But the scale in these aspects is fixed. So, encoding speech with an adjustable scale for more latent information is worthy of investigation. But current alignment approaches only support frame-by-frame encoding and speech-to-vector encoding. It remains… More >

  • Open Access

    REVIEW

    circRNAs in drug resistance of breast cancer

    SEMA MISIR1,*, SERAP OZER YAMAN2, NINA PETROVIĆ3,4, CEREN SUMER5, CEYLAN HEPOKUR1, YUKSEL ALIYAZICIOGLU2

    Oncology Research, Vol.30, No.4, pp. 157-172, 2022, DOI:10.32604/or.2022.027547

    Abstract Breast cancer (BC) is the most common heterogeneous disease in women and one of the leading causes of cancer-related death. Surgery, chemotherapy, radiotherapy, hormone, and targeted therapy are the gold standards for BC treatment. One of the significant challenges during the treatment of BC represents resistance to chemotherapeutics, resistance that severely limits the use and effectiveness of the drugs used for BC treatment. Therefore, it is essential to develop new strategies to improve therapeutic efficacy. Circular RNAs (circRNAs) are a large group of non-coding RNAs that covalently form closed circular loops by joining their 5′, and 3′; ends. Accumulating evidence… More >

  • Open Access

    ARTICLE

    Multimodal Spatiotemporal Feature Map for Dynamic Gesture Recognition

    Xiaorui Zhang1,2,3,*, Xianglong Zeng1, Wei Sun3,4, Yongjun Ren1,2,3, Tong Xu5

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 671-686, 2023, DOI:10.32604/csse.2023.035119

    Abstract Gesture recognition technology enables machines to read human gestures and has significant application prospects in the fields of human-computer interaction and sign language translation. Existing researches usually use convolutional neural networks to extract features directly from raw gesture data for gesture recognition, but the networks are affected by much interference information in the input data and thus fit to some unimportant features. In this paper, we proposed a novel method for encoding spatio-temporal information, which can enhance the key features required for gesture recognition, such as shape, structure, contour, position and hand motion of gestures, thereby improving the accuracy of… More >

  • Open Access

    ARTICLE

    Adaptive Reversible Visible Watermarking Based on Total Variation for BTC-Compressed Images

    Hengfu Yang1,2,*, Mingfang Jiang1,2, Zhichen Gao3

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5173-5189, 2023, DOI:10.32604/cmc.2023.034819

    Abstract Few previous Reversible Visible Watermarking (RVW) schemes have both good transparency and watermark visibility. An adaptive RVW scheme that integrates Total Variation and visual perception in Block Truncation Coding (BTC) compressed domain, called TVB-RVW is proposed in this paper. A new mean image estimation method for BTC-compressed images is first developed with the help of Total Variation. Then, a visual perception factor computation model is devised by fusing texture and luminance characteristics. An adaptive watermark embedding strategy is used to embed the visible watermark with the effect of the visual perception factor in the BTC domain. Moreover, a lossless embedding… More >

  • Open Access

    ARTICLE

    DERNNet: Dual Encoding Recurrent Neural Network Based Secure Optimal Routing in WSN

    A. Venkatesh1, S. Asha2,*

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1375-1392, 2023, DOI:10.32604/csse.2023.030944

    Abstract A Wireless Sensor Network (WSN) is constructed with numerous sensors over geographical regions. The basic challenge experienced while designing WSN is in increasing the network lifetime and use of low energy. As sensor nodes are resource constrained in nature, novel techniques are essential to improve lifetime of nodes in WSN. Nodes energy is considered as an important resource for sensor node which are battery powered based. In WSN, energy is consumed mainly while data is being transferred among nodes in the network. Several research works are carried out focusing on preserving energy of nodes in the network and made network… More >

  • Open Access

    ARTICLE

    Sea-Land Segmentation of Remote Sensing Images Based on SDW-UNet

    Tianyu Liu1,3,4, Pengyu Liu1,2,3,4,*, Xiaowei Jia5, Shanji Chen2, Ying Ma2, Qian Gao1,3,4

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1033-1045, 2023, DOI:10.32604/csse.2023.028225

    Abstract Image segmentation of sea-land remote sensing images is of great importance for downstream applications including shoreline extraction, the monitoring of near-shore marine environment, and near-shore target recognition. To mitigate large number of parameters and improve the segmentation accuracy, we propose a new Squeeze-Depth-Wise UNet (SDW-UNet) deep learning model for sea-land remote sensing image segmentation. The proposed SDW-UNet model leverages the squeeze-excitation and depth-wise separable convolution to construct new convolution modules, which enhance the model capacity in combining multiple channels and reduces the model parameters. We further explore the effect of position-encoded information in NLP (Natural Language Processing) domain on sea-land… More >

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