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  • Open Access

    ARTICLE

    Single-cell sequencing analysis reveals the molecular mechanism of promotion of SCAP proliferation upon AZD2858 treatment

    YIFAN XU1,#, DONGMEI CHENG1,#, LEI HU1, XIN DONG2, LIYING LV2, CHEN ZHANG2, JIAN ZHOU1,3,4,*

    BIOCELL, Vol.47, No.4, pp. 825-836, 2023, DOI:10.32604/biocell.2023.026122 - 08 March 2023

    Abstract The Wnt/β-catenin signaling pathway is the main target of tooth regeneration regulation. Treatment of cells with AZD2858 stimulates the Wnt/β-catenin signaling pathway, yet the function of this pathway in tooth regeneration remains unclear. Here, we found that AZD2858 promotes the accumulation of β-catenin in the nuclei of stem cells from the apical papilla (SCAPs) and enhances cell proliferation. Single-cell sequencing was performed on SCAPs treated with AZD2858. Eight clusters were identified, namely SCAPs-CNTNAP2, SCAPs-DTL, SCAPs-MYH11, SCAPs-MKI67, SCAPs-CXCL8, SCAPs-TPM2, SCAPs-IFIT2 and SCAPs-NEK10. The pseudo-time trajectory analysis showed that AZD2858 enhanced the evolution of SCAPs from SCAPs-TMP2 More >

  • Open Access

    ARTICLE

    Self-Tuning Parameters for Decision Tree Algorithm Based on Big Data Analytics

    Manar Mohamed Hafez1,*, Essam Eldin F. Elfakharany1, Amr A. Abohany2, Mostafa Thabet3

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 943-958, 2023, DOI:10.32604/cmc.2023.034078 - 06 February 2023

    Abstract Big data is usually unstructured, and many applications require the analysis in real-time. Decision tree (DT) algorithm is widely used to analyze big data. Selecting the optimal depth of DT is time-consuming process as it requires many iterations. In this paper, we have designed a modified version of a (DT). The tree aims to achieve optimal depth by self-tuning running parameters and improving the accuracy. The efficiency of the modified (DT) was verified using two datasets (airport and fire datasets). The airport dataset has 500000 instances and the fire dataset has 600000 instances. A comparison More >

  • Open Access

    ARTICLE

    MDNN: Predicting Student Engagement via Gaze Direction and Facial Expression in Collaborative Learning

    Yi Chen1,*, Jin Zhou1, Qianting Gao2, Jing Gao1, Wei Zhang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 381-401, 2023, DOI:10.32604/cmes.2023.023234 - 05 January 2023

    Abstract Prediction of students’ engagement in a Collaborative Learning setting is essential to improve the quality of learning. Collaborative learning is a strategy of learning through groups or teams. When cooperative learning behavior occurs, each student in the group should participate in teaching activities. Researchers showed that students who are actively involved in a class gain more. Gaze behavior and facial expression are important nonverbal indicators to reveal engagement in collaborative learning environments. Previous studies require the wearing of sensor devices or eye tracker devices, which have cost barriers and technical interference for daily teaching practice. More >

  • Open Access

    ARTICLE

    Structural characterization of four Rhododendron spp. chloroplast genomes and comparative analyses with other azaleas

    XIAOJUN ZHOU1,*, MENGXUE LIU1, LINLIN SONG2

    BIOCELL, Vol.47, No.3, pp. 657-668, 2023, DOI:10.32604/biocell.2023.026781 - 03 January 2023

    Abstract Azalea is a general designation of Rhododendron in the Ericaceae family. Rhododendron not only has high ornamental value but also has application value in ecological protection, medicine, and scientific research. In this study, we used Illumina and PacBio sequencing to assemble and annotate the entire chloroplast genomes (cp genomes) of four Rhododendron species. The chloroplast genomes of R. concinnum, R. henanense subsp. lingbaoense, R. micranthum, and R. simsii were assembled into 207,236, 208,015, 207,233, and 206,912 bp, respectively. All chloroplast genomes contain eight rRNA genes, with either 88 or 89 protein-coding genes. The four cp genomes were compared and analyzed by More >

  • Open Access

    ARTICLE

    A New Generative Mathematical Model for Coverless Steganography System Based on Image Generation

    Al-Hussien Seddik1, Mohammed Salah2, Gamal Behery2, Ahmed El-harby2, Ahmed Ismail Ebada2, Sokea Teng3, Yunyoung Nam3,*, Mohamed Abouhawwash4,5

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5087-5103, 2023, DOI:10.32604/cmc.2023.035364 - 28 December 2022

    Abstract The ability of any steganography system to correctly retrieve the secret message is the primary criterion for measuring its efficiency. Recently, researchers have tried to generate a new natural image driven from only the secret message bits rather than using a cover to embed the secret message within it; this is called the stego image. This paper proposes a new secured coverless steganography system using a generative mathematical model based on semi Quick Response (QR) code and maze game image generation. This system consists of two components. The first component contains two processes, encryption process,… More >

  • Open Access

    ARTICLE

    CLGA Net: Cross Layer Gated Attention Network for Image Dehazing

    Shengchun Wang1, Baoxuan Huang1, Tsz Ho Wong2, Jingui Huang1,*, Hong Deng1

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 4667-4684, 2023, DOI:10.32604/cmc.2023.031444 - 28 December 2022

    Abstract In this paper, we propose an end-to-end cross-layer gated attention network (CLGA-Net) to directly restore fog-free images. Compared with the previous dehazing network, the dehazing model presented in this paper uses the smooth cavity convolution and local residual module as the feature extractor, combined with the channel attention mechanism, to better extract the restored features. A large amount of experimental data proves that the defogging model proposed in this paper is superior to previous defogging technologies in terms of structure similarity index (SSIM), peak signal to noise ratio (PSNR) and subjective visual quality. In order… More >

  • Open Access

    ARTICLE

    Synergistic Modification of PVC with Nitrogen-Containing Heterocycle and Tung-Oil Based Derivative for Enhanced Heat Stabilization and Plasticization Behavior

    Mei Wang1, Xinzhu Fan1, Quan Bu1, Puyou Jia2,3,*, Shouqi Yuan4

    Journal of Renewable Materials, Vol.11, No.4, pp. 2015-2031, 2023, DOI:10.32604/jrm.2023.026063 - 01 December 2022

    Abstract The additives present in polyvinyl chloride (PVC) materials are the major source of organic by-products during PVC degradation. The thermal stabilizer and plasticizer are the main additives that endow PVC with the required properties during its processing. However, these two additives easily migrate when samples are obtained by physical mixing of the additives with PVC. This causes the reduction of PVC sample efficacy and the increase in the formation of organic by-products in the radiolysis process. In this work, two kinds of grafted PVC samples (tung-oil derivative grafted PVC and Atz grafted PVC, abbreviated as P-GT4More > Graphic Abstract

    Synergistic Modification of PVC with Nitrogen-Containing Heterocycle and Tung-Oil Based Derivative for Enhanced Heat Stabilization and Plasticization Behavior

  • Open Access

    ARTICLE

    The Impact of Sun Radiation on the Thermal Comfort in Highly Glazed Buildings Equipped with Floor Heating Systems

    Abdelatif Merabtine1,*, Abdelhamid Kheiri2, Salim Mokraoui3, Lyes Bellagh1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.4, pp. 941-951, 2023, DOI:10.32604/fdmp.2023.022029 - 02 November 2022

    Abstract Occupants of highly glazed buildings often suffer from thermal discomfort during the mid-seasons when no shadings are used in such buildings, especially when inertial heating systems are used. The present study is devoted to evaluating the impact of long solar beam exposure on the internal thermal discomfort in glazed spaces when heating is implemented through a floor system. A comprehensive experimental study is carried out using an experimental bi-climatic chamber which is fully monitored and controlled, allowing realistic simulations of the dynamic movement of the sun patch on a heated slab. The findings show that More >

  • Open Access

    ARTICLE

    An Intelligent Hazardous Waste Detection and Classification Model Using Ensemble Learning Techniques

    Mesfer Al Duhayyim1,*, Saud S. Alotaibi2, Shaha Al-Otaibi3, Fahd N. Al-Wesabi4, Mahmoud Othman5, Ishfaq Yaseen6, Mohammed Rizwanullah6, Abdelwahed Motwakel6

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3315-3332, 2023, DOI:10.32604/cmc.2023.033250 - 31 October 2022

    Abstract Proper waste management models using recent technologies like computer vision, machine learning (ML), and deep learning (DL) are needed to effectively handle the massive quantity of increasing waste. Therefore, waste classification becomes a crucial topic which helps to categorize waste into hazardous or non-hazardous ones and thereby assist in the decision making of the waste management process. This study concentrates on the design of hazardous waste detection and classification using ensemble learning (HWDC-EL) technique to reduce toxicity and improve human health. The goal of the HWDC-EL technique is to detect the multiple classes of wastes,… More >

  • Open Access

    ARTICLE

    Water-Based Environmentally Friendly Pesticide Formulations Based on Cyclodextrin/Pesticide Loading System

    Xinyu Guo1, Zhe Sun2, Rui Zhao2, Hongyi Shang2, Jiangyu Liu2, Yong Xu2, Laihua Liu1,*, Xuemin Wu2,*

    Journal of Renewable Materials, Vol.11, No.2, pp. 777-789, 2023, DOI:10.32604/jrm.2022.022811 - 22 September 2022

    Abstract Difenoconazole (DIF) is a representative variety of broad-spectrum triazole fungicides and liposoluble pesticides. However, the water solubility of DIF is so poor that its application is limited in plant protection. In addition, the conventional formulations of DIF always contain abundant organic solvents, which may cause pollution of the environment. In this study, two DIF/cyclodextrins (CDs) inclusion complexes (ICs) were successfully prepared, which were DIF/β-CD IC and DIF/hydroxypropyl-β-CD IC (DIF/HP-β-CD IC). The effect of cyclodextrins on the water solubility and the antifungal effect of liposoluble DIF pesticide were investigated. According to the phase solubility test, the More >

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