Zhen Wang¹, Junsong Xiong¹, Shaofan Li², Xin Lai^1,3,*, Xiang Liu³, Lisheng Liu^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 491-523, 2024, DOI:10.32604/cmes.2024.052923 - 20 August 2024

Abstract A fluid-structure interaction approach is proposed in this paper based on Non-Ordinary State-Based Peridynamics (NOSB-PD) and Updated Lagrangian Particle Hydrodynamics (ULPH) to simulate the fluid-structure interaction problem with large geometric deformation and material failure and solve the fluid-structure interaction problem of Newtonian fluid. In the coupled framework, the NOSB-PD theory describes the deformation and fracture of the solid material structure. ULPH is applied to describe the flow of Newtonian fluids due to its advantages in computational accuracy. The framework utilizes the advantages of NOSB-PD theory for solving discontinuous problems and ULPH theory for solving fluid… More >

Fawaz Alassery¹, Ahmed Alzahrani², Asif Irshad Khan², Ashi Khan^3,*, Mohd Nadeem⁴, Md Tarique Jamal Ansari⁴

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1701-1715, 2022, DOI:10.32604/iasc.2022.023314 - 09 December 2021

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… More >

Chih-Ta Yen^1,*, Cheng-Hong Liao²

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1973-1986, 2022, DOI:10.32604/cmc.2022.022679 - 03 November 2021

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 More >

Mahmoud MOUSTAFA^1,2 , 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.… More >