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  • Open Access

    ARTICLE

    A Hybrid Deep Learning Approach for Green Energy Forecasting in Asian Countries

    Tao Yan1, Javed Rashid2,3, Muhammad Shoaib Saleem3,4, Sajjad Ahmad4, Muhammad Faheem5,*

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2685-2708, 2024, DOI:10.32604/cmc.2024.058186 - 18 November 2024

    Abstract Electricity is essential for keeping power networks balanced between supply and demand, especially since it costs a lot to store. The article talks about different deep learning methods that are used to guess how much green energy different Asian countries will produce. The main goal is to make reliable and accurate predictions that can help with the planning of new power plants to meet rising demand. There is a new deep learning model called the Green-electrical Production Ensemble (GP-Ensemble). It combines three types of neural networks: convolutional neural networks (CNNs), gated recurrent units (GRUs), and… More >

  • Open Access

    ARTICLE

    New insights into ATR inhibition in muscle invasive bladder cancer: The role of apolipoprotein B mRNA editing catalytic subunit 3B

    HYUNHO KIM1, UIJU CHO2, SOOK HEE HONG3, HYUNG SOON PARK1, IN-HO KIM3, HO JUNG AN1, BYOUNG YONG SHIM1, JIN HYOUNG KANG3,*

    Oncology Research, Vol.32, No.6, pp. 1021-1030, 2024, DOI:10.32604/or.2024.048919 - 23 May 2024

    Abstract Background: Apolipoprotein B mRNA editing catalytic polypeptide (APOBEC), an endogenous mutator, induces DNA damage and activates the ataxia telangiectasia and Rad3-related (ATR)-checkpoint kinase 1 (Chk1) pathway. Although cisplatin-based therapy is the mainstay for muscle-invasive bladder cancer (MIBC), it has a poor survival rate. Therefore, this study aimed to evaluate the efficacy of an ATR inhibitor combined with cisplatin in the treatment of APOBEC catalytic subunit 3B (APOBEC3B) expressing MIBC. Methods: Immunohistochemical staining was performed to analyze an association between APOBEC3B and ATR in patients with MIBC. The APOBEC3B expression in MIBC cell lines was assessed… More >

  • Open Access

    ARTICLE

    Robust Facial Biometric Authentication System Using Pupillary Light Reflex for Liveness Detection of Facial Images

    Puja S. Prasad1, Adepu Sree Lakshmi1, Sandeep Kautish2, Simar Preet Singh3, Rajesh Kumar Shrivastava3, Abdulaziz S. Almazyad4, Hossam M. Zawbaa5, Ali Wagdy Mohamed6,7,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 725-739, 2024, DOI:10.32604/cmes.2023.030640 - 30 December 2023

    Abstract Pupil dynamics are the important characteristics of face spoofing detection. The face recognition system is one of the most used biometrics for authenticating individual identity. The main threats to the facial recognition system are different types of presentation attacks like print attacks, 3D mask attacks, replay attacks, etc. The proposed model uses pupil characteristics for liveness detection during the authentication process. The pupillary light reflex is an involuntary reaction controlling the pupil’s diameter at different light intensities. The proposed framework consists of two-phase methodologies. In the first phase, the pupil’s diameter is calculated by applying… More >

  • Open Access

    ARTICLE

    Photodynamic therapy with TBZPy regulates the PI3K/AKT and endoplasmic reticulum stress-related PERK/eIF2α pathways in HeLa cells

    YIFAN LI1,2, JING ZHANG1, YITAO FAN1, HANDAN XIAO1, KEXIN KANG1, YALI ZHOU1, ZHIWEN ZHANG3,*, YUMIN LI1, MUZHOU TENG1,*

    BIOCELL, Vol.47, No.8, pp. 1783-1791, 2023, DOI:10.32604/biocell.2023.028056 - 28 August 2023

    Abstract Background: ((1-triphenylaminebenzo[c][1,2,5] thiadiazole-4-yl) styryl)-1-methylpyridin methylpyridin-1-ium iodide salt (TBZPy) is a novel photosensitizer that displays excellent photodynamic properties. However, There are few reports on the mechanism of action of the TBZPy photodynamic. Previous studies revealed that photodynamic therapy (PDT) could induce endoplasmic reticulum stress by acting on the endoplasmic reticulum. Therefore, in this study, we investigated the effects of endoplasmic reticulum stress induced by TBZPy-PDT in treating High-risk human papillomavirus (HR-HPV) infection and their underlying mechanisms. Methods: The human cervical cancer cell line HeLa (containing whole genome of HR-HPV18) was treated with TBZPy-PDT. Cell migration, invasion,… More > Graphic Abstract

    Photodynamic therapy with TBZPy regulates the PI3K/AKT and endoplasmic reticulum stress-related PERK/eIF2α pathways in HeLa cells

  • Open Access

    ARTICLE

    Capsaicin exerts anti-benign prostatic hyperplasia effects via inhibiting androgen receptor signaling pathway

    ZICHEN SHAO1,2,#, CHUNG-YI CHEN3,#, XUZHOU CHEN1, HANWU CHEN1, MENGQIAO SU1,2, HUI SUN1,2, YIDAN LI1,2, BINGHUA TU1, ZITONG WANG1, CHI-MING LIU1,*

    BIOCELL, Vol.47, No.6, pp. 1389-1396, 2023, DOI:10.32604/biocell.2023.028222 - 19 May 2023

    Abstract Background: Benign prostatic hyperplasia (BPH) is a common condition in middle-aged and elderly men. Enlargement of the prostate causes lower urinary tract symptoms. Capsaicin is a phytochemical extracted from chili peppers and exerts many pharmacological actions, such as anti-tumor and anti-inflammatory effects. Methods: Our study investigated the effect of capsaicin in vitro and in a mouse model in vivo. A prostatic stromal myofibroblast cell line (WPMY-1) was co-incubated with testosterone (1 µM) and different concentrations of capsaicin (10–100 µM) for 24 and 48 h. Capsaicin (10–100 µM) significantly inhibited testosterone-treated WPMY-1 cell growth at 48 h by MTT… More >

  • Open Access

    ARTICLE

    Modeling CO2 Emission in Residential Sector of Three Countries in Southeast of Asia by Applying Intelligent Techniques

    Mohsen Sharifpur1,2, Mohamed Salem3, Yonis M Buswig4, Habib Forootan Fard5, Jaroon Rungamornrat6,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5679-5690, 2023, DOI:10.32604/cmc.2023.034726 - 28 December 2022

    Abstract Residential sector is one of the energy-consuming districts of countries that causes CO2 emission in large extent. In this regard, this sector must be considered in energy policy making related to the reduction of emission of CO2 and other greenhouse gases. In the present work, CO2 emission related to the residential sector of three countries, including Indonesia, Thailand, and Vietnam in Southeast Asia, are discussed and modeled by employing Group Method of Data Handling (GMDH) and Multilayer Perceptron (MLP) neural networks as powerful intelligent methods. Prior to modeling, data related to the energy consumption of these countries… More >

  • Open Access

    ARTICLE

    Gait Image Classification Using Deep Learning Models for Medical Diagnosis

    Pavitra Vasudevan1, R. Faerie Mattins1, S. Srivarshan1, Ashvath Narayanan1, Gayatri Wadhwani1, R. Parvathi1, R. Maheswari2,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6039-6063, 2023, DOI:10.32604/cmc.2023.032331 - 28 December 2022

    Abstract Gait refers to a person’s particular movements and stance while moving around. Although each person’s gait is unique and made up of a variety of tiny limb orientations and body positions, they all have common characteristics that help to define normalcy. Swiftly identifying such characteristics that are difficult to spot by the naked eye, can help in monitoring the elderly who require constant care and support. Analyzing silhouettes is the easiest way to assess and make any necessary adjustments for a smooth gait. It also becomes an important aspect of decision-making while analyzing and monitoring… More >

  • Open Access

    ARTICLE

    An Ensemble Based Approach for Sentiment Classification in Asian Regional Language

    Mahesh B. Shelke1, Jeong Gon Lee2,*, Sovan Samanta3, Sachin N. Deshmukh1, G. Bhalke Daulappa4, Rahul B. Mannade5, Arun Kumar Sivaraman6

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2457-2468, 2023, DOI:10.32604/csse.2023.027979 - 01 August 2022

    Abstract In today’s digital world, millions of individuals are linked to one another via the Internet and social media. This opens up new avenues for information exchange with others. Sentiment analysis (SA) has gotten a lot of attention during the last decade. We analyse the challenges of Sentiment Analysis (SA) in one of the Asian regional languages known as Marathi in this study by providing a benchmark setup in which we first produced an annotated dataset composed of Marathi text acquired from microblogging websites such as Twitter. We also choose domain experts to manually annotate Marathi More >

  • Open Access

    ARTICLE

    Comparison of IDEAL-IQ and IVIM-DWI for Differentiating between Alpha Fetoprotein-Negative Hepatocellular Carcinoma and Focal Nodular Hyperplasia

    Shaopeng Li, Peng Wang, Jun Qiu, Yiju Xie, Dawei Yin, Kexue Deng*

    Oncologie, Vol.24, No.3, pp. 527-538, 2022, DOI:10.32604/oncologie.2022.022815 - 19 September 2022

    Abstract Background: To compare the differential diagnostic value of iterative decomposition of water and fat with the echo asymmetrical and least-squares estimation quantitation sequence (IDEAL-IQ) with that of intravoxel incoherent motion diffusion-weighted imaging (IVIM DWI) in differentiating between alpha fetoprotein (AFP)-negative hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH). Materials and Methods: A total of 28 AFP-negative HCC cases and 15 FNH cases were scanned using the IDEAL-IQ and IVIM-DWI magnetic resonance imaging (MRI) protocols. Two radiologists independently assessed the fat fraction (FF) and the iron level surrogate (R2*) derived from the IDEAL-IQ images and the apparent diffusion… More >

  • Open Access

    ARTICLE

    Assessing Asian Economies Renewable Energy Consumption Efficiency Using DEA with Undesirable Output

    Chia-Nan Wang1, Ngoc-Ai-Thy Nguyen1,*, Thanh-Tuan Dang1,2, Jing-Wein Wang3

    Computer Systems Science and Engineering, Vol.43, No.1, pp. 347-362, 2022, DOI:10.32604/csse.2022.022941 - 23 March 2022

    Abstract Along with vast non-fossil potential and significant expertise, there is a question of whether Asian nations are attaining efficient consumption and exploitation of renewable resources. From this perspective, the paper aims to evaluate the efficiency of 14 potential Asia countries in renewable energy consumption during the six-year periods (2014–2019). In analyzing the performance of the renewable energy sector, the data envelopment analysis (DEA) with an undesirable output model approach has been widely utilized to measure the efficiency of peer units compared with the best practice frontier. We consider four inputs and two outputs to a More >

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