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  • Open Access

    ARTICLE

    Quantitative Evaluation of Mental-Health in Type-2 Diabetes Patients Through Computational Model

    Fawaz Alassery1, Ahmed Alzahrani2, Asif Irshad Khan2, Ashi Khan3,*, Mohd Nadeem4, Md Tarique Jamal Ansari4

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1701-1715, 2022, DOI:10.32604/iasc.2022.023314

    Abstract A large number of people live in diabetes worldwide. Type-2 Diabetes (D2) accounts for 92% of patients with D2 and puts a huge burden on the healthcare industry. This multi-criterion medical research is based on the data collected from the hospitals of Uttar Pradesh, India. In recent times there is a need for a web-based electronic system to determine the impact of mental health in D2 patients. This study will examine the impact assessment in D2 patients. This paper used the integrated methodology of Fuzzy Analytic Hierarchy (FAHP) and Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS).… 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

    ARTICLE

    Cloning and characterization of 66 kDa streptavidin-binding peptides (SBP) of Pisum sativum L. embryo specific to var. Alaska

    Mahmoud MOUSTAFA1,2 , Saad ALAMRI1, Tarek TAHA3, Ali SHATI1, Sulaiman ALRUMMAN1, Mohamed ALKAHTANI1

    BIOCELL, Vol.43, No.3, pp. 155-166, 2019, DOI:10.32604/biocell.2019.06814

    Abstract The aim of the current research was to clone and to characterize the partial 66 kDa streptavidin-binding peptide (SBP) found in the germinated embryos of Pisum sativum L. var. Alaska. The pea (P. sativum var. Alaska) embryos possess prominent 66 kDa SBPs that gradually disappeared after few hours of germination in germinated embryos, but not in the cotyledons. The total RNA was isolated from embryos of P. sativum but could not be isolated from the cotyledons. The partial nucleotides sequences of 66 kDa SBPs of embryonic stalk (P. sativum var. Alaska) were cloned and identified using pMOSBlue vector. 66 kDa… More >

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