| Volume 25, Issue 3 | |
| Numerical Investigation of Interaction between Saccular Abdominal Aortic Aneurysms and Arterial Bifurcations | 209-224 |
| Kadhum Audaa Jehhef, Ali Jalal Ali | |
| doi: 10.7546/ijba.2021.25.3.000762 | |
| [ +/- how to cite ][ +/- abstract ][ full text ] | |
| Kadhum Audaa Jehhef, Ali Jalal Ali (2021) Numerical Investigation of Interaction between Saccular Abdominal Aortic Aneurysms and Arterial Bifurcations, Int J Bioautomation, 25 (3), 209-224, doi: 10.7546/ijba.2021.25.3.000762 | |
| Abstract: In order to fully understand the interaction between the Abdominal Aortic Aneurysms (AAAs) and the arterial bifurcations interface it is important to attain more detailed information on blood hemodynamics stresses by using an accurate and real model of the vascular system of the human. In this study, a computer simulation, which integrates dinically acquired of 73-year-old male patient with saccular AAA MR angiograms image is considered. The numerical predictions for 2D of two models (with and without saccular AAA) – axisymmetric, rigid wall Newtonian and non-Newtonian Carreau blood model are presented. The finite volume method performed by ANSYS-Fluent Package was used to model this problem. The blood hemodynamics is considered as steady state condition in two values of Reynolds numbers of laminar flow condition. Blood hemodynamics is calculated for an improved set of dimensionless values pointer parameters include the pressure dimensionless, dimensionless Wall Shear Stress (WSS) and flow velocity. The results show that at the turbulent flow, velocity is with highest fluctuation profile and generate some vortices near the inner wall of AAA. The highest WSS levels are obtained downstream of AAA and at bifurcation apex. The presence of AAA in flow path will increase blood velocity of the distal by 35% for laminar and about 42% for turbulent. Finally, the velocity profile was compared with previous literature and give good agreement at the same computational condition.
Keywords: Hemodynamics, Non-Newtonian blood, Blood heat transfer, AAA | |
| Comparison of Several Filtering Approaches on Water Treatment Processes | 225-248 |
| António Pedro Aguiar, Oussama Hadj-Abdelkader | |
| doi: 10.7546/ijba.2021.25.3.000776 | |
| [ +/- how to cite ][ +/- abstract ][ full text ] | |
| António Pedro Aguiar, Oussama Hadj-Abdelkader (2021) Comparison of Several Filtering Approaches on Water Treatment Processes, Int J Bioautomation, 25 (3), 225-248, doi: 10.7546/ijba.2021.25.3.000776 | |
| Abstract: This paper addresses the state estimation problem of a bioreactor in wastewater treatment processes. The state variables of this process are the concentrations of the organic pollutants and of the bacteria inside the bioreactor. A specific growth rate function is used to describe the variation of the bacteria concentration when the amount of pollutants increases. This rate can also represent the speed of the biological degradation of the pollutants. Most research work in this field uses only deterministic models that do not conveniently account for uncertainties. These models are often obtained using several simplifications during the modeling procedure such as neglecting the measurement noises. In this paper, we consider stochastic models and study the state estimation problem using three approaches: the Extended Kalman filter, the Unscented Kalman filter and the Particle filter. These methods are adapted to the models in study and compared to understand which is the most adequate for this type of processes considering their slow evolution, discrete time measurements and high-intensity noises. Further, we also apply a Multiple Model Adaptive method which adapts the filters to the correct growth rate type. This method is also used to automatically choose the most efficient estimation method for this type of biological processes.
Keywords: Filtering, Bioreactor, Particle filter, Extended Kalman filter, Unscented Kalman filter, Continuous-discrete systems, Stochastic differential equations | |
| Parallel Distributed Framework for State Space Adaptive Filter for Removal of PLI from Cardiac Signals | 249-270 |
| Inam ur Rehman, Hasan Raza, Nauman Razzaq, Tahir Zaidi | |
| doi: 10.7546/ijba.2021.25.3.000781 | |
| [ +/- how to cite ][ +/- abstract ][ full text ] | |
| Inam ur Rehman, Hasan Raza, Nauman Razzaq, Tahir Zaidi (2021) Parallel Distributed Framework for State Space Adaptive Filter for Removal of PLI from Cardiac Signals, Int J Bioautomation, 25 (3), 249-270, doi: 10.7546/ijba.2021.25.3.000781 | |
| Abstract: Cardiac signals are often corrupted by artefacts like power line interference (PLI) which may mislead the cardiologists to correctly diagnose the critical cardiac diseases. The cardiac signals like high resolution electrocardiogram (HRECG), ultra-high frequency ECG (UHF-ECG) and intracardiac electrograms are the specialized techniques in which higher frequency component of interest up to 1 KHz are observed. Therefore, a state space recursive least square (SSRLS) adaptive algorithm is applied for the removal of PLI and its harmonics. The SSRLS algorithm is an effective approach which extracts the desired cardiac signals from the observed signal without any need of reference signal. However, SSRLS is inherited computational heavy algorithm; therefore, filtration of increased number of PLI harmonics bestow an adverse impact on the execution time of the algorithm. In this paper, a parallel distributed SSRLS (PD-SSRLS) algorithm is introduced which runs the computationally expensive SSRLS adaptive algorithm parallely. The proposed architecture efficiently removes the PLI along with its harmonics even the time alignment among the contributing nodes is not the same. Furthermore, the proposed PD-SSRLS scheme provides less computational cost as compared to sequentially operated SSRLS algorithm. A comparison has been drawn between the proposed PD-SSRLS algorithm and sequentially operated SSRLS algorithm in term of qualitative and quantitative performances. The simulation results show that the proposed PD-SSRLS architecture provides almost same qualitative and quantitative performances than that of sequentially operated SSRLS algorithm with less computational cost.
Keywords: Adaptive noise cancellation, Cardiac signal processing, PD-SSRLS, Power line interference, State space adaptive filter | |
| Molecular Docking Study of the Potential Relevance of the Natural Compounds Isoflavone and Myricetin to COVID-19 | 271-282 |
| Didik Priyandoko, Wahyu Widowati, Mawar Subangkit, Diana Jasaputra, Teresa Wargasetia, Ika Sholihah, Jenifer Aviani | |
| doi: 10.7546/ijba.2021.25.3.000796 | |
| [ +/- how to cite ][ +/- abstract ][ full text ] | |
| Didik Priyandoko, Wahyu Widowati, Mawar Subangkit, Diana Jasaputra, Teresa Wargasetia, Ika Sholihah, Jenifer Aviani (2021) Molecular Docking Study of the Potential Relevance of the Natural Compounds Isoflavone and Myricetin to COVID-19, Int J Bioautomation, 25 (3), 271-282, doi: 10.7546/ijba.2021.25.3.000796 | |
| Abstract: The 2019 novel coronavirus (2019-nCoV) or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly from its origin in Wuhan City, Hubei Province, China, to the rest of the world. The efficacy of herbal treatment in the control of contagious disease was demonstrated during the 2003 outbreak of severe acute respiratory syndrome (SARS). Natural compound used for this study were isoflavone and myricetin. Molecular docking was performed to analyze binding mode of the compounds towards 12 proteins related to COVID-19. The prediction shows that isoflavone and myricetin have moderate probability of antiviral activity. All of the docked compounds occupied the active sites of the proteins related to COVID-19. Based on QSAR and molecular docking, interactions were predicted with 10 out of 12 potential COVID-19 proteins for myricetin and with 9 out of 12 proteins interactions for isoflavone. A potential disease alleviating action is suggested for isoflavone and myricetin in the context of COVID-19 infection.
Keywords: SARS-CoV-2, Isoflavone, Myricitrin, Docking, QSAR | |
| Immunomodulatory Effect of Pinus Armandi Franch Seed Oil | 283-294 |
| Jianxia Guo, Fang Chen, Xue Wen | |
| doi: 10.7546/ijba.2021.25.3.000818 | |
| [ +/- how to cite ][ +/- abstract ][ full text ] | |
| Jianxia Guo, Fang Chen, Xue Wen (2021) Immunomodulatory Effect of Pinus Armandi Franch Seed Oil, Int J Bioautomation, 25 (3), 283-294, doi: 10.7546/ijba.2021.25.3.000818 | |
| Abstract: Pinus armandi franch is a special local plant in China and its seed oil is a nice resource of linoleic acid (LA) and linolenic acid. This study investigated the effects of enriching the mouse diet with the ω-6 and ω-3 polyunsaturated fatty acids (PUFA), LA (18:2 ω-6) and α-linolenic acid (18:3 ω-3) different ratios (ω-6/ω-3) on total lipids in Pinus armandi franch seed oil (PAFO), and immune evaluation indexes in plasma, lymph nodes, and spleen from isolated immune cells. Kunming mice were fed a commercial chow. PAFO with a certain ratio (ω-6/ω-3) could promote the proliferation of spleen lymphocytes induced by ConA in mice and the optimal ratio was 4 or 6. PAFO with different ratios (ω-6/ω-3) could increase the spleen index and thymus index and there were significant differences between PAFO group and control group (p < 0.01). The results indicate that the ratio of ω-6 PUFA: ω-3 PUFA is 4 or 6 improve some of the indices of the mice immune status and that a moderate increase in the level of ω-6 PUFA in the mice diet does not suppress the immune system.
Keywords: Pinus armandi franch, Seed oil, ω-6 PUFA, ω-3 PUFA, Immunocompetence |
Sponsored by National Science Fund of Bulgaria, Grant No KP-06-NP/2/12, 2020
© 2021, BAS, Institute of Biophysics and Biomedical Engineering