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  • Open Access

    ARTICLE

    Subcellular Distribution and Chemical Forms of Cadmium in the Medicine Food Homology Plant Platycodon grandiflorum (Jacq.) A.DC.

    Jia An#, Xiang Wang#, Yajiang Jing, Jianping Huang, Qilong Wang, Gang Zhang, Jing Gao, Liang Peng, Wenli Huang*, Yonggang Yan*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1405-1420, 2023, DOI:10.32604/phyton.2023.026525

    Abstract Although Platycodon grandiflorum (Jacq.) A.DC. is a renowned medicine food homology plant, reports of excessive cadmium (Cd) levels are common, which affects its safety for clinical use and food consumption. To enable its Cd levels to be regulated or reduced, it is necessary to first elucidate the mechanism of Cd uptake and accumulation in the plant, in addition to its detoxification mechanisms. This present study used inductively couple plasma-mass-spectrometry to analyze the subcellular distribution and chemical forms of Cd in different tissues of P. grandiflorum. The experimental results showed that Cd was mainly accumulated in the roots [predominantly in the… More >

  • Open Access

    ARTICLE

    BC-PC-Share: Blockchain-Based Patient-Centric Data Sharing Scheme for PHRs in Cloud Computing

    Caihui Lan1, Haifeng Li2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2985-3010, 2023, DOI:10.32604/cmes.2023.026321

    Abstract Sharing of personal health records (PHR) in cloud computing is an essential functionality in the healthcare system. However, how to securely, efficiently and flexibly share PHRs data of the patient in a multi-receiver setting has not been well addressed. For instance, since the trust domain of the cloud server is not identical to the data owner or data user, the semi-trust cloud service provider may intentionally destroy or tamper shared PHRs data of user or only transform partial ciphertext of the shared PHRs or even return wrong computation results to save its storage and computation resource, to pursue maximum economic… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Low Cycle Fatigue Behavior of Ti2AlNb Alloy Subcomponents

    Yanju Wang1, Zhenyu Zhu2, Aixue Sha1, Wenfeng Hao3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2655-2676, 2023, DOI:10.32604/cmes.2023.025749

    Abstract Many titanium alloy subcomponents are subjected to fatigue loading in aerospace engineering, resulting in fatigue failure. The fatigue behavior of Ti2AlNb alloy subcomponents was investigated based on the Seeger fatigue life theory and the improved Lemaitre damage evolution theory. Firstly, the finite element models of the standard openhole specimen and Y-section subcomponents have been established by ABAQUS. The damage model parameters were determined by fatigue tests, and the reliability of fatigue life simulation results of the Ti2AlNb alloy standard open-hole specimen was verified. Meanwhile, the fatigue life of Ti2AlNb alloy Y-section subcomponents was predicted. Under the same initial conditions, the… More >

  • Open Access

    ARTICLE

    Cardiac CT Image Segmentation for Deep Learning–Based Coronary Calcium Detection Using K-Means Clustering and Grabcut Algorithm

    Sungjin Lee1, Ahyoung Lee2, Min Hong3,*

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2543-2554, 2023, DOI:10.32604/csse.2023.037055

    Abstract Specific medical data has limitations in that there are not many numbers and it is not standardized. to solve these limitations, it is necessary to study how to efficiently process these limited amounts of data. In this paper, deep learning methods for automatically determining cardiovascular diseases are described, and an effective preprocessing method for CT images that can be applied to improve the performance of deep learning was conducted. The cardiac CT images include several parts of the body such as the heart, lungs, spine, and ribs. The preprocessing step proposed in this paper divided CT image data into regions… More >

  • Open Access

    ARTICLE

    The Implication of microRNAs as non-invasive biomarkers in 179 Egyptian breast cancer female patients

    NADIA Z. SHAABAN1, NASHWA K. IBRAHIM2, HELEN N. SAADA2, FATMA H. EL-RASHIDY1, HEBATALLAH M. SHAABAN3, NERMEEN M. ELBAKARY2,*, AHMAD S. KODOUS1,2,*

    Oncology Research, Vol.30, No.6, pp. 269-276, 2022, DOI:10.32604/or.2022.027277

    Abstract Background: MicroRNAs (miRs) are small (19–25 nucleotides), non-protein coding RNAs that regulate gene expression, and thus play essential roles in cell cycle progression. The evidence has demonstrated that the expression of several miRs is dysregulated in human cancer. Methods: The study includes 179 female patients and 58 healthy women Patients were identified as luminal A, B, Her-2/neu, and basal-like, as well as classified into I, II, and III stages. Analysis of the expression fold change of miR-21 and miR-34a with molecular markers, including the oncogene Bcl-2 (B-cell lymphoma 2) and the tumor suppressor genes BRCA1 (breast cancer susceptibility gene 1),… More >

  • Open Access

    ARTICLE

    Identification of Circular RNA hsa-circ-0006969 as a Novel Biomarker for Breast Cancer

    Libin Wang1,2,3,#, Xiaohan Li1,3,#, Jinhai Tian1,2,3, Jingjing Yu1,2,3, Qi Huang1,2,3, Rong Ma1,2,3, Jia Wang1,2,3, Jia Cao1,2,3, Jinping Li4,*, Xu Zhang1,2,3,*

    Oncologie, Vol.24, No.4, pp. 789-801, 2022, DOI:10.32604/oncologie.2022.026589

    Abstract Background: To investigate the characteristics of circular RNA hsa-circ-0006969 in breast cancer and identify it as a novel biomarker for breast cancer. Methods: Three breast cancer (BC) patient tissues were selected to perform human circRNA microarray analysis. GeneSpring 13.0 (Agilent) software was applied for analyzing the data. Another 116 BC patients were recruited for verification. Hsa-circ-0006969 was found as a potential circRNA for BC diagnostic biomarker. The structure of hsa-circ-0006969 was predicted by circPrimer1.2 software. MiRanda v3.3, RNA hybrid 2.1, and Cytoscape 3.6.0 were used for predicting the networks of circRNA-miRNA. T-test, Curve regression, and ROC analysis were applied to… More >

  • Open Access

    ARTICLE

    Blockchain Merkle-Tree Ethereum Approach in Enterprise Multitenant Cloud Environment

    Pooja Dhiman1, Santosh Kumar Henge1, Sartaj Singh1, Avinash Kaur2, Parminder Singh2,3, Mustapha Hadabou3,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3297-3313, 2023, DOI:10.32604/cmc.2023.030558

    Abstract This research paper puts emphasis on using cloud computing with Blockchain (BC) to improve the security and privacy in a cloud. The security of data is not guaranteed as there is always a risk of leakage of users’ data. Blockchain can be used in a multi-tenant cloud environment (MTCE) to improve the security of data, as it is a decentralized approach. Data is saved in unaltered form. Also, Blockchain is not owned by a single organization. The encryption process can be done using a Homomorphic encryption (HE) algorithm along with hashing technique, hereby allowing computations on encrypted data without the… More >

  • Open Access

    ARTICLE

    A Detailed Mathematical Analysis of the Vaccination Model for COVID-19

    Abeer S. Alnahdi1,*, Mdi B. Jeelani1, Hanan A. Wahash2, Mansour A. Abdulwasaa3,4

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1315-1343, 2023, DOI:10.32604/cmes.2022.023694

    Abstract This study aims to structure and evaluate a new COVID-19 model which predicts vaccination effect in the Kingdom of Saudi Arabia (KSA) under Atangana-Baleanu-Caputo (ABC) fractional derivatives. On the statistical aspect, we analyze the collected statistical data of fully vaccinated people from June 01, 2021, to February 15, 2022. Then we apply the Eviews program to find the best model for predicting the vaccination against this pandemic, based on daily series data from February 16, 2022, to April 15, 2022. The results of data analysis show that the appropriate model is autoregressive integrated moving average ARIMA (1, 1, 2), and… More >

  • Open Access

    ARTICLE

    B Class Floral Homeotic Genes are Involved in the Petal Identity and Flower Meristem Determinations in Chrysanthemum morifolium

    Jiayou Liu, Lian Ding, Xue Zhang, Song Li, Yunxiao Guan, Diwen Jia, Aiping Song, Jiafu Jiang, Fadi Chen*

    Phyton-International Journal of Experimental Botany, Vol.92, No.2, pp. 311-331, 2023, DOI:10.32604/phyton.2022.023896

    Abstract Chrysanthemum morifolium, an ornamental crop with diverse forms of inflorescence, is a good model for studying flower development in Asteraceae. However, the genetic background is complex and the mechanisms of regulating flower development are still unclear. Here, we identified two natural mutant lines of chrysanthemum and named them M1 and M2 according to the severity of the phenotype. Both lines showed defects in petal identity, and the petals of the M1 line had a mild phenotype: partially loss of petal identity and conversion of petals into green, leaf-like organs. The M2 line had severe phenotypes: in addition to severe petal… More >

  • Open Access

    ARTICLE

    NOTCH3 Mutations and CADASIL Phenotype in Pulmonary Arterial Hypertension Associated with Congenital Heart Disease

    Rui Jiang1,3,*, Kaisheng Lai2, Jianping Xu1, Xiang Feng1, Shaoye Wang1, Xiaojian Wang3, Zhe Liu2

    Congenital Heart Disease, Vol.17, No.6, pp. 675-686, 2022, DOI:10.32604/chd.2022.021626

    Abstract Background: The etiology of pulmonary arterial hypertension associated with congenital heart disease (PAHCHD) is complicated and the phenotype is heterogeneous. Genetic defects of NOTCH3 were associated with cerebral disease and pulmonary hypertension. However, the relationship between NOTCH3 mutations and the clinical phenotype has not been reported in CHD-PAH. Methods: We eventually enrolled 142 PAH-CHD patients from Fuwai Hospital. Whole exome sequencing (WES) was performed to screen the rare deleterious variants of NOTCH3 gene. Results: This PAH-CHD cohort included 43 (30.3%) men and 99 (69.7%) women with the mean age 29.8 ± 10.9 years old. The pathogenic or likely pathogenic mutations… More >

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