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  • Open Access

    ARTICLE

    Logistic Regression Trust–A Trust Model for Internet-of-Things Using Regression Analysis

    Feslin Anish Mon Solomon1,*, Godfrey Winster Sathianesan2, R. Ramesh3

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1125-1142, 2023, DOI:10.32604/csse.2023.024292

    Abstract Internet of Things (IoT) is a popular social network in which devices are virtually connected for communicating and sharing information. This is applied greatly in business enterprises and government sectors for delivering the services to their customers, clients and citizens. But, the interaction is successful only based on the trust that each device has on another. Thus trust is very much essential for a social network. As Internet of Things have access over sensitive information, it urges to many threats that lead data management to risk. This issue is addressed by trust management that help to take decision about trustworthiness… More >

  • Open Access

    ARTICLE

    An Efficient Ensemble Model for Various Scale Medical Data

    Heba A. Elzeheiry*, Sherief Barakat, Amira Rezk

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1283-1305, 2022, DOI:10.32604/cmc.2022.027345

    Abstract Electronic Health Records (EHRs) are the digital form of patients’ medical reports or records. EHRs facilitate advanced analytics and aid in better decision-making for clinical data. Medical data are very complicated and using one classification algorithm to reach good results is difficult. For this reason, we use a combination of classification techniques to reach an efficient and accurate classification model. This model combination is called the Ensemble model. We need to predict new medical data with a high accuracy value in a small processing time. We propose a new ensemble model MDRL which is efficient with different datasets. The MDRL… More >

  • Open Access

    ARTICLE

    Downregulation of hsa_circ_0002198 inhibits keloid fibroblast activities in vitro by reducing NLRP3 inflammasome activity

    LEI FU1, JINGWEN JIANG2, XUEWU CHEN2, FENGTING ZHU2, HUI ZHANG2

    BIOCELL, Vol.46, No.5, pp. 1289-1297, 2022, DOI:10.32604/biocell.2022.016726

    Abstract The levels of hsa circular RNA_0002198 (hsa_circ_0002198) have been found to be significantly upregulated in keloid dermal fibroblasts. However, the functional role of hsa_circ_0002198 in keloid fibroblasts and the underlying molecular mechanism for its effects have not been reported. In this study, the levels of hsa_circ_0002198 and nucleotide-binding and oligomerization domain, leucine rich repeat and pyrin domain containing 3 (NLRP3) expression in keloid scar tissues and adjacent normal skin tissues were determined by quantitative real-time PCR and western blotting, respectively. In vitro models of keloid tissue were created by culturing primary keloid fibroblasts obtained from patients. A series of functional… More >

  • Open Access

    ARTICLE

    Human β-defensin 2 enhances IL-1β production and pyroptosis through P2X7-mediated NLRP3 expression in macrophages

    PANPAN WANG1,2, GANG LI3, LI GAO1,2, CHUANJIANG ZHAO1,2

    BIOCELL, Vol.46, No.5, pp. 1197-1207, 2022, DOI:10.32604/biocell.2022.016607

    Abstract Periodontal disease is the leading cause of tooth loss, which is also a high-risk factor for other diseases including oral cancer and cardiovascular disease. Periodontitis is one of the most common type of periodontal diseases. Interleukin-1β (IL-1β) plays a key role in the pathogenesis of periodontitis. However, the mechanism how IL-1β is produced during periodontitis is still unclear. In the present study, we found that human β-defensin 2 (hBD2) enhances IL-1β production through an LPS-primed human acute monocytic leukemia (THP-1) macrophage model. Inhibition of P2X purinoceptor 7 (P2X7) reduced hBD2-enhanced IL-1β production. Incubation of LPS-primed THP-1 macrophages with potassium chloride… More >

  • Open Access

    ARTICLE

    Acute exacerbation of chronic obstructive pulmonary disease was associated with respiratory syncytial virus infection and the upregulation of TLR3

    LING GONG1, HUAJUN YANG1, YING HUANG2, ZHU LI1, JIN NIE3, MENG YE4, PENG XIE5, DAISHUN LIU2,*

    BIOCELL, Vol.46, No.4, pp. 1025-1032, 2022, DOI:10.32604/biocell.2022.018248

    Abstract Respiratory syncytial virus (RSV) infection is known as a risk factor for chronic obstructive pulmonary disease (COPD). RSV infection induces the upregulation of Toll-like receptor 3 (TLR3). This study aimed to investigate the association of TLR3 with RSV induced acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Serum/sputum samples from AECOPD patients, stable chronic obstructive pulmonary disease (SCOPD) patients, and healthy controls were collected. Nested PCR was used to detect RSV. The lung function parameters were assessed by blood gas and lung function analysis. The expression levels of inflammatory factors in sputum and serum samples were determined by enzyme-linked immunosorbent… More >

  • Open Access

    ARTICLE

    BDLR: lncRNA identification using ensemble learning

    LEJUN GONG1,2,*, SHEHAI ZHOU1, JINGMEI CHEN1, YONGMIN LI1, LI ZHANG4, ZHIHONG GAO3

    BIOCELL, Vol.46, No.4, pp. 951-960, 2022, DOI:10.32604/biocell.2022.016625

    Abstract Long non-coding RNAs (lncRNAs) play an important role in many life activities such as epigenetic material regulation, cell cycle regulation, dosage compensation and cell differentiation regulation, and are associated with many human diseases. There are many limitations in identifying and annotating lncRNAs using traditional biological experimental methods. With the development of high-throughput sequencing technology, it is of great practical significance to identify the lncRNAs from massive RNA sequence data using machine learning method. Based on the Bagging method and Decision Tree algorithm in ensemble learning, this paper proposes a method of lncRNAs gene sequence identification called BDLR. The identification results… More >

  • Open Access

    ARTICLE

    Puerarin inactivates NLRP3-mediated pyroptotic cell death to alleviate cerebral ischemia/reperfusion (I/R) injury through modulating the LncRNA DUXAP8/miR-223-3p axis

    ZHENGUO SHI#,*, QIAOYUN WU#, HAIYAN SHI, SONGTIE YING, LIANG TAO

    BIOCELL, Vol.46, No.4, pp. 979-988, 2022, DOI:10.32604/biocell.2022.015345

    Abstract NLRP3 inflammasome-mediated cell pyroptosis aggravates the development of cerebral ischemia/reperfusion (I/R) injury, and the aim of this study is to investigate the potential utilization of the Chinese medicine, Puerarin, in treating this disease. Through conducting in vitro and in vivo experiments, the present study illustrated that Puerarin regulated LncRNA double homeobox A pseudogene 8 (DUXAP8)/miR-223-3p axis to inactivate NLRP3-mediated pyroptotic cell death, resulting in the attenuation of I/R injury. Specifically, the cerebral I/R injury in rat models and hypoxia/reoxygenation (H/R) in primary hippocampus neuron (PHN) cells were inducted, which were subsequently exposed to Puerarin treatment. As expected, we validated that… More >

  • Open Access

    ARTICLE

    HAND2-AS1, PRKAA2 and VLDLR predict the risk of peritoneal metastasis in gastric cancer of different Lauren types based on STEPP analysis

    HUI QU1,2,3,4,#, RUICHUAN SHI1,2,3,4,#, BOWEN YANG1,2,3,4, XI CHEN1,2,3,4, YUJIA SONG1,2,3,4, LINGZI HE1,2,3,4, YITING SUN1,2,3,4, YUJING YANG1,2,3,4, ZHI LI1,2,3,4,*, XIUJUAN QU1,2,3,4,*

    BIOCELL, Vol.46, No.3, pp. 721-735, 2022, DOI:10.32604/biocell.2021.015867

    Abstract The peritoneum is the most common site of recurrence of gastric cancer (GC). Early occult peritoneal metastasis is difficult to detect by imaging examination. Stratifying the risk of peritoneal metastasis in patients with different Lauren subtypes is of great clinical value. We performed a univariate Cox regression to identify those genes with prognostic value of overall survival (OS) and peritoneal-specified disease-free survival (psDFS) from the Gene Expression Omnibus database. The candidate genes were screened by the Subpopulation Treatment Effect Pattern Plot (STEPP) method. Propensity score matching (PSM) analysis was used to reduce the interference of confounders on the results. Based… More >

  • Open Access

    ARTICLE

    Blood Pressure and Heart Rate Measurements Using Photoplethysmography with Modified LRCN

    Chih-Ta Yen1,*, Cheng-Hong Liao2

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1973-1986, 2022, DOI:10.32604/cmc.2022.022679

    Abstract In this study, single-channel photoplethysmography (PPG) signals were used to estimate the heart rate (HR), diastolic blood pressure (DBP), and systolic blood pressure (SBP). A deep learning model was proposed using a long-term recurrent convolutional network (LRCN) modified from a deep learning algorithm, the convolutional neural network model of the modified inception deep learning module, and a long short-term memory network (LSTM) to improve the model's accuracy of BP and HR measurements. The PPG data of 1,551 patients were obtained from the University of California Irvine Machine Learning Repository. How to design a filter of PPG signals and how to… More >

  • Open Access

    REVIEW

    Cervical cancer situation in Malaysia: A systematic literature review

    WAN AZANI MUSTAFA1,2,*, AFIQAH HALIM2, MOHD WAFI NASRUDIN2, KHAIRUL SHAKIR AB RAHMAN3

    BIOCELL, Vol.46, No.2, pp. 367-381, 2022, DOI:10.32604/biocell.2022.016814

    Abstract Cervix cancer is one of Malaysia’s most significant cancers for women (around 12.9%, with an age-standardised incidence rate of 19.7 per 100,000). It was higher than other Asian, West, and even worldwide nations. The National Strategic Plan for Cancer Control Program 2016–2020 (Health Ministry) was presented to minimize cancer and mortality. The high incidence of cervical cancer in Malaysia is mainly due to women’s insufficient knowledge about its prevention and importance. Compared with traditional literature reviews, the systemic analysis provides many advantages. A clearer review process, a more prominent field of study, and essential priorities that can manage research bias… More >

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