Mehdi Hassan^1,2, Safdar Ali³, Jin Young Kim^2,*, Muhammad Sanaullah⁴, Hani Alquhayz⁵, Khushbakht Safdar⁶

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1643-1663, 2023, DOI:10.32604/cmc.2023.038578

Abstract Breast cancer resistance protein (BCRP) is an important resistance protein that significantly impacts anticancer drug discovery, treatment, and rehabilitation. Early identification of BCRP substrates is quite a challenging task. This study aims to predict early substrate structure, which can help to optimize anticancer drug development and clinical diagnosis. For this study, a novel intelligent approach-based methodology is developed by modifying the ResNet101 model using transfer learning (TL) for automatic deep feature (DF) extraction followed by classification with linear discriminant analysis algorithm (TLRNDF-LDA). This study utilized structural fingerprints, which are exploited by DF contrary to conventional molecular descriptors. The proposed in… More >

Hassan Rabiei¹, Masoud Kaveh², Mohammad Reza Mosavi¹, Diego Martín^3,*

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 4831-4845, 2023, DOI:10.32604/cmc.2023.034981

Abstract With the expanding use of the Internet of Things (IoT) devices and the connection of humans and devices to the Internet, the need to provide security in this field is constantly growing. The conventional cryptographic solutions need the IoT device to store secret keys in its non-volatile memory (NVM) leading the system to be vulnerable to physical attacks. In addition, they are not appropriate for IoT applications due to their complex calculations. Thus, physically unclonable functions (PUFs) have been introduced to simultaneously address these issues. PUFs are lightweight and easy-to-access hardware security primitives which employ the unique characteristics of integrated… More >

V. V. Nijil^*, P. Selvan

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1043-1062, 2023, DOI:10.32604/iasc.2023.028028

Abstract Alternating Current–Direct Current (AC–DC) converters require a high value bulk capacitor or a filter capacitor between the DC–DC conversion stages, which in turn causes many problems in the design of a AC–DC converter. The component package size for this capacitor is large due to its high voltage rating and capacitance value. In addition, the high charging current creates more problems during the product compliance testing phase. The shelf life of these specific high value capacitors is less than that of Multilayer Ceramic Capacitors (MLCC), which limits its use for the highly reliable applications. This paper presents a feasibility study to… More >

DILIXIATI JINSIHAN, DAN LI, MINGSHUAI ZHANG, JINCHUN FENG, QIAN ZHAO^*

BIOCELL, Vol.45, No.3, pp. 671-684, 2021, DOI:10.32604/biocell.2021.012519

Abstract Hypoxia affects the advancement, metastasis, and metabolism of breast cancer (BC). The circular RNA ribonuclease P RNA component H1 (circRPPH1) (has_circ_0000515) is implicated in tumor progression. Nevertheless, the regulatory mechanism related to circRPPH1 in hypoxia-mediated triple-negative breast cancer (TNBC) progression is indistinct. The expression levels of circRPPH1, miR-1296-5p, tripartite motif-containing 14 (TRIM14) mRNA in tissue samples and cells were examined through quantitative real-time polymerase chain reaction (qRT-PCR). Cell viability, migration, and invasion were determined with Cell Counting Kit-8 (CCK-8) or transwell assays. The levels of glucose consumption and lactate production were assessed via the Glucose Assay Kit or Lactate Assay… More >

Tahir Abbas Khan¹, Sagheer Abbas¹, Allah Ditta², Muhammad Adnan Khan^{3, *}, Hani Alquhayz⁴, Areej Fatima³, Muhammad Farhan Khan⁵

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2591-2605, 2020, DOI:10.32604/cmc.2020.011892

Abstract The prediction of human diseases, particularly COVID-19, is an extremely challenging task not only for medical experts but also for the technologists supporting them in diagnosis and treatment. To deal with the prediction and diagnosis of COVID-19, we propose an Internet of Medical Things-based Smart Monitoring Hierarchical Mamdani Fuzzy Inference System (IoMTSM-HMFIS). The proposed system determines the various factors like fever, cough, complete blood count, respiratory rate, Ct-chest, Erythrocyte sedimentation rate and C-reactive protein, family history, and antibody detection (lgG) that are directly involved in COVID-19. The expert system has two input variables in layer 1, and seven input variables… More >