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  • Open Access

    ARTICLE

    PPARα activator irbesartan suppresses the proliferation of endometrial carcinoma cells via SREBP1 and ARID1A

    YU LU1, TSUTOMU MIYAMOTO1,*, HODAKA TAKEUCHI1, FUMI TSUNODA1, NAOKI TANAKA2,3,4, TANRI SHIOZAWA1

    Oncology Research, Vol.31, No.3, pp. 239-253, 2023, DOI:10.32604/or.2023.026067 - 22 May 2023

    Abstract Endometrial carcinoma (EMC) is associated with obesity; however, the underlying mechanisms have not yet been elucidated. Peroxisome proliferator-activated receptor alpha (PPARα) is a nuclear receptor that is involved in lipid, glucose, and energy metabolism. PPARα reportedly functions as a tumor suppressor through its effects on lipid metabolism; however, the involvement of PPARα in the development of EMC remains unclear. The present study demonstrated that the immunohistochemical expression of nuclear PPARα was lower in EMC than in normal endometrial tissues, suggesting the tumor suppressive nature of PPARα. A treatment with the PPARα activator, irbesartan, inhibited the More >

  • Open Access

    ARTICLE

    A Healthcare System for COVID19 Classification Using Multi-Type Classical Features Selection

    Muhammad Attique Khan1, Majed Alhaisoni2, Muhammad Nazir1, Abdullah Alqahtani3, Adel Binbusayyis3, Shtwai Alsubai3, Yunyoung Nam4, Byeong-Gwon Kang4,*

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1393-1412, 2023, DOI:10.32604/cmc.2023.032064 - 22 September 2022

    Abstract The coronavirus (COVID19), also known as the novel coronavirus, first appeared in December 2019 in Wuhan, China. After that, it quickly spread throughout the world and became a disease. It has significantly impacted our everyday lives, the national and international economies, and public health. However, early diagnosis is critical for prompt treatment and reducing trauma in the healthcare system. Clinical radiologists primarily use chest X-rays, and computerized tomography (CT) scans to test for pneumonia infection. We used Chest CT scans to predict COVID19 pneumonia and healthy scans in this study. We proposed a joint framework… More >

  • Open Access

    ARTICLE

    Technologically Advanced Reusable 3D Face Shield for Health Workers Confronting COVID19

    Rajesh Kumar Kaushal1, Naveen Kumar1, Vinay Kukreja1, Fahd S. Alharithi2, Ahmed H. Almulihi2, Arturo Ortega Mansilla3,4, Shikha Rani5,*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2565-2579, 2022, DOI:10.32604/cmc.2022.025049 - 29 March 2022

    Abstract The probability of medical staff to get affected from COVID19 is much higher due to their working environment which is more exposed to infectious diseases. So, as a preventive measure the body temperature monitoring of medical staff at regular intervals is highly recommended. Infrared temperature sensing guns have proved its effectiveness and therefore such devices are used to monitor the body temperature. These devices are either used on hands or forehead. As a result, there are many issues in monitoring the temperature of frontline healthcare professionals. Firstly, these healthcare professionals keep wearing PPE (Personal Protective… More >

  • Open Access

    ARTICLE

    Cloning and Characterization of EuGID1 in Eucommia ulmoides Oliver

    Yulu Chen1, Fen Zhang1, Ju Cai1, Yichen Zhao1,2, Jiaxue Cui1, Yan Li1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 999-1013, 2022, DOI:10.32604/phyton.2022.018984 - 24 January 2022

    Abstract Gibberellic acid controlled the key developmental processes of the life cycle of landing plants, and regulated the growth and development of plants. In this study, a novel gibberellin receptor gene EuGID1 was obtained from Eucommia ulmoides Oliver. The cDNA of EuGID1 was 1556 bp, and the open reading frame was 1029 bp, which encoded 343 amino acids. EuGID1 had the homology sequence with the hormone-sensitive lipase family. Amino acid sequence alignment confirmed EuGID1 protein had the highest homology with the GID1 protein of Manihot esculenta. EuGID1 was located in the nucleus and cell membrane and had expression in four plant More >

  • Open Access

    ARTICLE

    Covid-19 Symptoms Periods Detection Using Transfer-Learning Techniques

    Fahad Albogamy1, Mohammed Faisal2,3,*, Mohammed Arafah4, Hebah ElGibreen3,5

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1921-1937, 2022, DOI:10.32604/iasc.2022.022559 - 09 December 2021

    Abstract The inflationary illness caused by extreme acute respiratory syndrome coronavirus in 2019 (COVID-19) is an infectious and deadly disease. COVID-19 was first found in Wuhan, China, in December 2019, and has since spread worldwide. Globally, there have been more than 198 M cases and over 4.22 M deaths, as of the first of Augest, 2021. Therefore, an automated and fast diagnosis system needs to be introduced as a simple, alternative diagnosis choice to avoid the spread of COVID-19. The main contributions of this research are 1) the COVID-19 Period Detection System (CPDS), that used to… More >

  • Open Access

    ARTICLE

    An active RUNX1-ID1/ID3 axis governs differentiation and chemoresistance of cancer stem cell population in epithelial ovarian cancer cells

    AJIT C. DHADVE1,2, PRITHA RAY1,2

    BIOCELL, Vol.46, No.1, pp. 75-86, 2022, DOI:10.32604/biocell.2022.016346 - 28 September 2021

    Abstract Progression, relapse, and therapy resistance are the most challenging features of cancer therapy that have been postulated to be driven by Cancer Stem Cell (CSC) population. This enigmatic subpopulation of cancer cells has therefore emerged as promising therapeutic candidate. We earlier reported enrichment of CSC-like side population (SP) with increasing resistance towards Cisplatin and Paclitaxel either alone or in combination in epithelial ovarian cancer (EOC) cells. This SP population is a small proportion of the total population of cancer cells characterised with high expression of drug transporters, a unique feature of stem cells and thereby… More >

  • Open Access

    ARTICLE

    COVID19 Outbreak: A Hierarchical Framework for User Sentiment Analysis

    Ahmed F. Ibrahim1, M. Hassaballah2, Abdelmgeid A. Ali3, Yunyoung Nam4,*, Ibrahim A. Ibrahim3

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2507-2524, 2022, DOI:10.32604/cmc.2022.018131 - 27 September 2021

    Abstract Social networking sites in the most modernized world are flooded with large data volumes. Extracting the sentiment polarity of important aspects is necessary; as it helps to determine people’s opinions through what they write. The Coronavirus pandemic has invaded the world and been given a mention in the social media on a large scale. In a very short period of time, tweets indicate unpredicted increase of coronavirus. They reflect people’s opinions and thoughts with regard to coronavirus and its impact on society. The research community has been interested in discovering the hidden relationships from short… More >

  • Open Access

    ARTICLE

    An Ensemble Learning Based Approach for Detecting and Tracking COVID19 Rumors

    Sultan Noman Qasem1,2, Mohammed Al-Sarem3,4, Faisal Saeed3,*

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1721-1747, 2022, DOI:10.32604/cmc.2022.018972 - 07 September 2021

    Abstract Rumors regarding epidemic diseases such as COVID 19, medicines and treatments, diagnostic methods and public emergencies can have harmful impacts on health and political, social and other aspects of people’s lives, especially during emergency situations and health crises. With huge amounts of content being posted to social media every second during these situations, it becomes very difficult to detect fake news (rumors) that poses threats to the stability and sustainability of the healthcare sector. A rumor is defined as a statement for which truthfulness has not been verified. During COVID 19, people found difficulty in… More >

  • Open Access

    ARTICLE

    COVID19 Classification Using CT Images via Ensembles of Deep Learning Models

    Abdul Majid1, Muhammad Attique Khan1, Yunyoung Nam2,*, Usman Tariq3, Sudipta Roy4, Reham R. Mostafa5, Rasha H. Sakr6

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 319-337, 2021, DOI:10.32604/cmc.2021.016816 - 04 June 2021

    Abstract The recent COVID-19 pandemic caused by the novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has had a significant impact on human life and the economy around the world. A reverse transcription polymerase chain reaction (RT-PCR) test is used to screen for this disease, but its low sensitivity means that it is not sufficient for early detection and treatment. As RT-PCR is a time-consuming procedure, there is interest in the introduction of automated techniques for diagnosis. Deep learning has a key role to play in the field of medical imaging. The most important issue… More >

  • Open Access

    ARTICLE

    COVID19: Forecasting Air Quality Index and Particulate Matter (PM2.5)

    R. Mangayarkarasi1, C. Vanmathi1,*, Mohammad Zubair Khan2, Abdulfattah Noorwali3, Rachit Jain4, Priyansh Agarwal4

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3363-3380, 2021, DOI:10.32604/cmc.2021.014991 - 01 March 2021

    Abstract Urbanization affects the quality of the air, which has drastically degraded in the past decades. Air quality level is determined by measures of several air pollutant concentrations. To create awareness among people, an automation system that forecasts the quality is needed. The COVID-19 pandemic and the restrictions it has imposed on anthropogenic activities have resulted in a drop in air pollution in various cities in India. The overall air quality index (AQI) at any particular time is given as the maximum band for any pollutant. PM2.5 is a fine particulate matter of a size less… More >

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