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  • Open Access

    ARTICLE

    Using MsfNet to Predict the ISUP Grade of Renal Clear Cell Carcinoma in Digital Pathology Images

    Kun Yang1,2,3, Shilong Chang1, Yucheng Wang1, Minghui Wang1, Jiahui Yang1, Shuang Liu1,2,3, Kun Liu1,2,3, Linyan Xue1,2,3,*

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.044994

    Abstract Clear cell renal cell carcinoma (ccRCC) represents the most frequent form of renal cell carcinoma (RCC), and accurate International Society of Urological Pathology (ISUP) grading is crucial for prognosis and treatment selection. This study presents a new deep network called Multi-scale Fusion Network (MsfNet), which aims to enhance the automatic ISUP grade of ccRCC with digital histopathology pathology images. The MsfNet overcomes the limitations of traditional ResNet50 by multi-scale information fusion and dynamic allocation of channel quantity. The model was trained and tested using 90 Hematoxylin and Eosin (H&E) stained whole slide images (WSIs), which were all cropped into 320… More >

  • Open Access

    ARTICLE

    An Innovative Approach Using TKN-Cryptology for Identifying the Replay Assault

    Syeda Wajiha Zahra1, Muhammad Nadeem2, Ali Arshad3,*, Saman Riaz3, Muhammad Abu Bakr4, Ashit Kumar Dutta5, Zaid Alzaid6, Badr Almutairi7, Sultan Almotairi8

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.042386

    Abstract Various organizations store data online rather than on physical servers. As the number of user’s data stored in cloud servers increases, the attack rate to access data from cloud servers also increases. Different researchers worked on different algorithms to protect cloud data from replay attacks. None of the papers used a technique that simultaneously detects a full-message and partial-message replay attack. This study presents the development of a TKN (Text, Key and Name) cryptographic algorithm aimed at protecting data from replay attacks. The program employs distinct ways to encrypt plain text [P], a user-defined Key [K], and a Secret Code… More >

  • Open Access

    ARTICLE

    YOLO-DD: Improved YOLOv5 for Defect Detection

    Jinhai Wang1, Wei Wang1, Zongyin Zhang1, Xuemin Lin1, Jingxian Zhao1, Mingyou Chen1, Lufeng Luo2,*

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.041600

    Abstract As computer technology continues to advance, factories have increasingly higher demands for detecting defects. However, detecting defects in a plant environment remains a challenging task due to the presence of complex backgrounds and defects of varying shapes and sizes. To address this issue, this paper proposes YOLO-DD, a defect detection model based on YOLOv5 that is effective and robust. To improve the feature extraction process and better capture global information, the vanilla YOLOv5 is augmented with a new module called Relative-Distance-Aware Transformer (RDAT). Additionally, an Information Gap Filling Strategy (IGFS) is proposed to improve the fusion of features at different… More >

  • Open Access

    ARTICLE

    Spatiotemporal Prediction of Urban Traffics Based on Deep GNN

    Ming Luo1, Huili Dou2, Ning Zheng3,*

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.040067

    Abstract Traffic prediction already plays a significant role in applications like traffic planning and urban management, but it is still difficult to capture the highly non-linear and complicated spatiotemporal correlations of traffic data. As well as to fulfil both long-term and short-term prediction objectives, a better representation of the temporal dependency and global spatial correlation of traffic data is needed. In order to do this, the Spatiotemporal Graph Neural Network (S-GNN) is proposed in this research as a method for traffic prediction. The S-GNN simultaneously accepts various traffic data as inputs and investigates the non-linear correlations between the variables. In terms… More >

  • Open Access

    ARTICLE

    Physiological Dynamics and Transcriptomic Analysis of Cut Roses ‘Carola’ Treated with KNO3

    Songmei Liu, Yuheng Wu, Hongmei Li, Dongli Cai, Huiling Liang, Changchun Ye, Shenggen He*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2023.045453

    Abstract The consumption of cut roses (Rosa hybrida) has always ranked first in the world. However, it is vulnerable to rapid petal and leaf wilting due to leaf stomatal water loss, which seriously affects its ornamental quality and economic value. Stomatal movement, a key in plant physiological processes, is influenced by potassium and nitrate. Advancing comprehension of its physiological and molecular mechanism holds promise for preserving the freshness of cut roses. This study observed the impacts of different concentrations of KNO3 vase treatments on stomatal opening and water loss in cut rose ‘Carola’ leaves, as well as their transcriptional responses to… More >

  • Open Access

    ARTICLE

    Evaluating the Effects of Aquaculture Wastewater Irrigation with Fertilizer Reduction on Greenhouse Tomato Production, Economic Benefits and Soil Nitrogen Characteristics

    Hang Guo1,2,3, Linxian Liao1,2,3, Zhenhao Zheng4, Junzeng Xu1,2,3,*, Qi Wei1,2,3, Peng Chen1,2,3, Kechun Wang1,2,3

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2023.044051

    Abstract The utilization of aquaculture wastewater as irrigation is an effective way to recycle and reuse water and nitrogen fertilizer resources because it contains numerous nutrients. However, it is still unclear that the pattern of substituting aquaculture wastewater irrigation for fertilizer supplementing is conducive to improving the soil nitrogen status, fruit yield and water-fertilizer use efficiency for tomato production. In this context, the experiment was intended to establish the appropriate irrigation regime of aquaculture wastewater in tomato production for freshwater replacement and fertilizer reduction to ensure good yields. Pot experiments were conducted with treatments as farmers accustomed to irrigation and fertilization… More >

  • Open Access

    ARTICLE

    Effect of Shoot Control on Flower Bud Differentiation, Flowering, and Fruit Setting in Zanthoxylum armatum DC.

    Xiandang Shen1,2,3, Runxi He2,3, Xin Li3, Zhuogong Shi2,3,*, Jinfang Meng2,3,*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2023.042735

    Abstract In this study, newly sprouted shoots of Zanthoxylum armatum (Z. armatum), which were collected after the harvesting period, were used as the primary experimental specimens. A randomized block design and paraffin sectioning method were used to investigate the flower bud differentiation process and the quantity and vitality of buds. Furthermore, the study examined the response of flowering and fruiting to cultivation methods for shoot growth, including layering and plant growth regulator application. The results showed that (a) layering and application of plant growth regulators for Z. armatum accelerated the process of flower bud differentiation by approximately 20 days compared to… More >

  • Open Access

    ARTICLE

    Silencing of the Nonspecific Phospholipase C6 (NPC6) Gene Induces Ricinoleic Acid Accumulation in Castor Seeds

    Yong Zhao2,#, Lili Li1,#, Rui Luo1, Mu Peng1, Tongtong Jiang1, Mingda Yin1, Yanpeng Wen1, Zihan Wang1, Fenglan Huang1,4,5,6,7,*, Fanjuan Meng3,*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2023.031495

    Abstract Castor, scientifically known as Ricinus communis L., is among the top ten oil crops globally. It is considered a renewable resource and is commonly referred to as ‘green oil’. Castor seeds contain castor oil as their main component, which is predominantly composed of ricinoleic acid. This study utilized RNAi technology to silence the NPC6 gene in NO.2129 castor, resulting in the creation of mutant plants L1 and L2. The weight of 100 dry seed kernels from L1 and L2 exceeds that from NO.2129. The crude fat and ricinoleic acid levels of L1 and L2 were higher than those of NO.2129… More >

  • Open Access

    ARTICLE

    The anti-neoplastic effects of metformin modulate the acquired phenotype of fibroblast cells in the breast cancer-normal fibroblast co-culture system

    SAMANEH MOSTAFAVI, ZUHAIR MOHAMMAD HASSAN*

    Oncology Research, Vol., , DOI:10.32604/or.2023.043926

    Abstract Intracellular communications between breast cancer and fibroblast cells were reported to be involved in cancer proliferation, growth, and therapy resistance. The hallmarks of cancer-fibroblast interactions, consisting of caveolin 1 (Cav1) and mono-carboxylate transporter 4 (MCT4) (metabolic coupling markers), along with IL-6, TGFβ, and lactate secretion, are considered robust biomarkers predicting recurrence and metastasis. In order to promote a novel phenotype in normal fibroblasts, we predicted that breast cancer cells could be able to cause loss of Cav1 and increase of MCT4, as well as elevate IL-6 and TGFβ in nearby normal fibroblasts. We created a co-culture model using breast cancer… More >

  • Open Access

    ARTICLE

    The Relationship between Father-Love Absence and Non-Suicidal Self-Injury: Based on Nock’s Integrated Theoretical Model of NSSI

    Yuhan Zhou1,2,#, Xiaojun Li3,#, Yanhui Xiang1,2,4,*

    International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2023.043167

    Abstract Fathers play an important role in children’s development throughout their lives, and Father-Love Absence (FLA) leads to more behavioral problems, including Non-Suicidal Self-Injury (NSSI). However, there has been no research on the relationship between FLA and NSSI and its influencing mechanism. This study is based on Nock’s integrated theoretical model of NSSI, aiming to explore the influence of FLA on NSSI and further investigate the mechanism of Subjective Vitality (SV) and Forgiveness (FORG). This study recruited 1795 adolescents in central China to complete four scales, including Father-Love Absence Scale (FLAS), The Subjective Vitality Scale (SVS), The Tendency to Forgive Scale… More >

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