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Article ; Online: A comprehensive review on magnetic imaging techniques for biomedical applications

Azamat Mukhatov / Tuan‐Anh Le / Tri T. Pham / Ton Duc Do

Nano Select, Vol 4, Iss 3, Pp 213-

2023 Volume 230

Abstract: Abstract This article presents a comprehensive review of current Magnetic Imaging Techniques (MIT), specifically Magnetic Particle Imaging (MPI) and Magnetic Resonance Imaging (MRI) methods as well as their impacts and potential in biomedical ... ...

Abstract	Abstract This article presents a comprehensive review of current Magnetic Imaging Techniques (MIT), specifically Magnetic Particle Imaging (MPI) and Magnetic Resonance Imaging (MRI) methods as well as their impacts and potential in biomedical applications. The paper particularly focuses on several perspectives of MPI and MRI techniques including technical considerations, advantages, limitations, applications, future trends. Surprisingly, there are not many review articles that focused on MPI and MRI. This review will give a complete overview of present technology, perspectives, and potential future developments for MPI and MRI. MIT has become an essential and integral part of medical diagnosis in many large medical clinics and hospitals. This area is rapidly developing and evolving to meet the huge demands in medical diagnosis and prevention. MPI and MRI are promising technologies that provide reliable and effective diagnosis for many diseases including cancer. MIT uses non‐invasive scanning to obtain a detailed image of the body's tissues or organs without the necessity for surgery. These techniques allow us to detect symptoms of serious diseases at an early stage. Early detection also gives patients the chance to get the right care before their illnesses advance to a late, incurable stage, potentially saving many lives.
Keywords	Magnetic Imaging Techniques (MIT) ; Magnetic Particle Imaging (MPI) ; Magnetic Resonance Imaging (MRI) ; medicine ; scanning ; Materials of engineering and construction. Mechanics of materials ; TA401-492
Subject code	610
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Wiley-VCH
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Adaptive super-twisting sliding mode control for maximum power point tracking of PMSG-based wind energy conversion systems

Zholtayev, Darkhan / Rubagotti, Matteo / Do, Ton Duc

Renewable energy. 2022 Jan., v. 183

2022

Abstract: This paper proposes a super-twisting adaptive sliding mode control law for maximum power point tracking of wind energy conversion systems based on permanent magnet synchronous generators (PMSGs). The employed sliding mode control algorithm can be ... ...

Abstract	This paper proposes a super-twisting adaptive sliding mode control law for maximum power point tracking of wind energy conversion systems based on permanent magnet synchronous generators (PMSGs). The employed sliding mode control algorithm can be considered an effective solution, as it retains the robustness properties of classical sliding mode control methods in the presence of disturbances and parameter uncertainties; at the same time, it provides chattering reduction via gain adaptation and generation of second-order sliding modes. In our work, a nonlinear multi-input multi-output tracking control problem is solved to maximize the captured power. Simulation results are presented using real wind speed data, and discussed for the proposed controller and four other sliding mode control solutions for the same problem, in the presence of variations of stator resistance, stator inductance and magnetic flux linkage. The proposed controller achieves the best trade-off between tracking performance and chattering reduction among the five considered solutions: compared to a standard sliding mode control algorithm, it reduces the amount of chattering from two to five orders of magnitude, and the steady-state error on PMSG rotor velocity of one order of magnitude. Also, it reduces the above-mentioned steady-state error of four orders of magnitude with respect to a previously-proposed linear quadratic regulator based integral sliding mode control law for the same system.
Keywords	algorithms ; energy conversion ; magnetic materials ; magnetism ; wind power ; wind speed
Language	English
Dates of publication	2022-01
Size	p. 877-889.
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2001449-1
ISSN	1879-0682 ; 0960-1481
ISSN (online)	1879-0682
ISSN	0960-1481
DOI	10.1016/j.renene.2021.11.055
Database	NAL-Catalogue (AGRICOLA)

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Article: Assessing the effects of time-dependent restrictions and control actions to flatten the curve of COVID-19 in Kazakhstan.

Do, Ton Duc / Gui, Meei Mei / Ng, Kok Yew

PeerJ

2021 Volume 9, Page(s) e10806

Abstract: This article presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of COVID-19 in the country, the ... ...

Abstract	This article presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of COVID-19 in the country, the effectiveness of the various levels of control actions taken to flatten the curve can be better quantified and understood. This in turn can help the relevant authorities to better plan for and control the subsequent waves of the pandemic. To achieve this, a deterministic population model for the pandemic is firstly developed to take into consideration the time-dependent characteristics of the model parameters, especially on the ever-evolving value of the reproduction number, which is one of the critical measures used to describe the transmission dynamics of this pandemic. The reproduction number alongside other key parameters of the model can then be estimated by fitting the model to real-world data using numerical optimisation techniques or by inducing ad-hoc control actions as recorded in the news platforms. In this article, the model is verified using a case study based on the data from the first wave of COVID-19 in the Republic of Kazakhstan. The model is fitted to provide estimates for two settings in simulations; time-invariant and time-varying (with bounded constraints) parameters. Finally, some forecasts are made using four scenarios with time-dependent control measures so as to determine which would reflect on the actual situations better.
Language	English
Publishing date	2021-02-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	2703241-3
ISSN	2167-8359
ISSN	2167-8359
DOI	10.7717/peerj.10806
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Assessing the effects of time-dependent restrictions and control actions to flatten the curve of COVID-19 in Kazakhstan

Ton Duc Do / Meei Mei Gui / Kok Yew Ng

PeerJ, Vol 9, p e

2021 Volume 10806

Abstract	This article presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of COVID-19 in the country, the effectiveness of the various levels of control actions taken to flatten the curve can be better quantified and understood. This in turn can help the relevant authorities to better plan for and control the subsequent waves of the pandemic. To achieve this, a deterministic population model for the pandemic is firstly developed to take into consideration the time-dependent characteristics of the model parameters, especially on the ever-evolving value of the reproduction number, which is one of the critical measures used to describe the transmission dynamics of this pandemic. The reproduction number alongside other key parameters of the model can then be estimated by fitting the model to real-world data using numerical optimisation techniques or by inducing ad-hoc control actions as recorded in the news platforms. In this article, the model is verified using a case study based on the data from the first wave of COVID-19 in the Republic of Kazakhstan. The model is fitted to provide estimates for two settings in simulations; time-invariant and time-varying (with bounded constraints) parameters. Finally, some forecasts are made using four scenarios with time-dependent control measures so as to determine which would reflect on the actual situations better.
Keywords	COVID-19 ; Coronavirus ; Modelling ; SEIRD ; Time-dependent analysis ; Medicine ; R ; Biology (General) ; QH301-705.5
Subject code	530
Language	English
Publishing date	2021-02-01T00:00:00Z
Publisher	PeerJ Inc.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Risk Factors for Stroke Associated Pneumonia.

Quyet, Do / Hien, Nguyen Minh / Khan, Mai Xuan / Dai, Pham Dinh / Thuan, Do Duc / Duc, Dang Minh / Hai, Nguyen Dang / Nam, Bui Van / Huy, Pham Quoc / Ton, Mai Duy / Truong, Dang Tien / Nga, Vu Thi / Duc, Dang Phuc

Open access Macedonian journal of medical sciences

2019 Volume 7, Issue 24, Page(s) 4416–4419

Abstract: Background: Stroke patients are at high risk for stroke-associated pneumonia (SAP). If patients suffer from pneumonia their prognosis will worsen.: Aim: To identify factors that increases the risk of SAP in stroke patients.: Methods: A group of ... ...

Abstract	Background: Stroke patients are at high risk for stroke-associated pneumonia (SAP). If patients suffer from pneumonia their prognosis will worsen. Aim: To identify factors that increases the risk of SAP in stroke patients. Methods: A group of 508 patients hospitalized within 5 days after the onset of stroke were enrolled prospectively. Results: The incidence of SAP was 13.4%. Some major risk factors for SAP are: mechanical ventilation (MV) had odds ratio (OR) 16.4 (p <0.01); the National Institutes of Health Stroke Scale (NIHSS) > 15 OR 9.1 (p <0.01); the Gugging Swallowing Screen (GUSS) 0-14 OR 11.7 (p <0.01). Conclusion: SAP is a frequent complication. We identified some risk factors of SAP, especially stroke severity (NIHSS > 15), swallowing disorder (GUSS < 15) and mechanical ventilation.
Language	English
Publishing date	2019-12-20
Publishing country	North Macedonia
Document type	Journal Article
ISSN	1857-9655
ISSN	1857-9655
DOI	10.3889/oamjms.2019.873
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Assessing and Forecasting the COVID-19 Pandemic Profile with Time-Dependent Control Actions in Kazakhstan

Do, Ton Duc / Gui, Meei Mei / Ng, Kok Yew

Abstract: This paper presents the assessment and forecasts of the transmission dynamics of COVID-19 with the effects of time-dependent control actions using the data in Kazakhstan as a case study. First, a modified SEIRD (susceptible, exposed, infectious, ... ...

Abstract	This paper presents the assessment and forecasts of the transmission dynamics of COVID-19 with the effects of time-dependent control actions using the data in Kazakhstan as a case study. First, a modified SEIRD (susceptible, exposed, infectious, recovered, and death) model is introduced. The SEIRD model is developed to take into account the time-dependent characteristics of the model parameters, especially on the ever-evolving value of the reproduction number, which is one of the critical measurements used to describe the transmission dynamics of this epidemic. The reproduction number alongside other key parameters of the model can be estimated by fitting the model to real-world data using numerical optimisation techniques. In this paper, the trust-region-reflective (TTR) algorithm is used to fit the model to estimate both time-invariant and time-varying (with bounded contsraints) parameters. The model is verified using a case study based on the data in Kazakhstan, which is a country badly affected by this pandemic but has not been receiving much attention by the research community thus far. Finally, some forecasts are made using five scenarios with time-dependent control measures such that the effects of the control actions onto the transmission dynamics of the pandemic can be quantified and better understood.
Keywords	covid19
Publisher	ArXiv
Document type	Article
Database	COVID19

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Article ; Online: A Novel Sensorless Control for Multiphase Induction Motor Drives Based on Singularly Perturbed Sliding Mode Observer-Experimental Validation

Mahmoud A. Mossa / Hamdi Echeikh / Atif Iqbal / Ton Duc Do / Ameena Saad Al-Sumaiti

Applied Sciences, Vol 10, Iss 2776, p

2020 Volume 2776

Abstract: This paper aims to develop an innovative sensorless control approach for a five-phase induction motor (IM) drive. The operation principle of the sensorless scheme is based on the sliding mode theory, within which a sliding mode observer (SMO) estimates ... ...

Abstract	This paper aims to develop an innovative sensorless control approach for a five-phase induction motor (IM) drive. The operation principle of the sensorless scheme is based on the sliding mode theory, within which a sliding mode observer (SMO) estimates the speed and rotor resistance simultaneously. The operation methodology of the proposed control technique is formulated using the mathematical model of the machine and the two-time-scale approach. The observation technique offers a simple and robust solution of speed and rotor resistance estimation for the sensorless control approach of the multiphase drive. The paper considers the five-phase induction motor (IM) as a case study; however, the proposed control algorithm can be employed by different types of multiphase machines. To test the applicability of the proposed sensorless control approach, the drive performance is firstly validated using MATLAB/Simulink-based simulation. Then, the simulation results are verified using real-time simulation and experimentally using TMS320C32 DSP-based control board. The obtained results confirm and validate the ability of the proposed control procedure in achieving a robust dynamic performance of the drive against the system uncertainties such as parameter variation.
Keywords	Multiphase machine ; five-phase IM ; sliding mode observer ; sensorless operation ; experimental validation ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	629
Language	English
Publishing date	2020-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Assessing the effects of time-dependent restrictions and control actions to flatten the curve of COVID-19 in Kazakhstan

Do, Ton Duc / Gui, Meei Mei / Ng, Kok Yew

2020

Abstract: This paper presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of COVID-19 in the country, the ... ...

Abstract	This paper presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of COVID-19 in the country, the effectiveness of the various levels of control actions taken to flatten the curve can be better quantified and understood. This in turn can help the relevant authorities to better plan for and control the subsequent waves of the pandemic. To achieve this, a deterministic population model for the pandemic is firstly developed to take into consideration the time-dependent characteristics of the model parameters, especially on the ever-evolving value of the reproduction number, which is one of the critical measures used to describe the transmission dynamics of this pandemic. The reproduction number alongside other key parameters of the model can then be estimated by fitting the model to real-world data using numerical optimisation techniques or by inducing ad-hoc control actions as recorded in the news platforms. In this paper, the model is verified using a case study based on the data from the first wave of COVID-19 in the Republic of Kazakhstan. The model is fitted to provide estimates for two settings in simulations; time-invariant and time-varying (with bounded constraints) parameters. Finally, some forecasts are made using four scenarios with time-dependent control measures so as to determine which would reflect on the actual situations better. Comment: 35 pages, 7 figures, To appear in PeerJ
Keywords	Quantitative Biology - Populations and Evolution ; Physics - Physics and Society
Publishing date	2020-07-21
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A Comparison of the National Institutes of Health Stroke Scale and the Gugging Swallowing Screen in Predicting Stroke-Associated Pneumonia.

Dang, Phuc Duc / Nguyen, Minh Hien / Mai, Xuan Khan / Pham, Dinh Dai / Dang, Minh Duc / Nguyen, Dang Hai / Bui, Van Nam / Mai, Duy Ton / Do, Nhu Binh / Do, Duc Thuan

Therapeutics and clinical risk management

2020 Volume 16, Page(s) 445–450

Abstract: Background: There have been many scales to predict pneumonia in stroke patients, but they are so complex, making it difficult to apply in practice. Therefore, we conducted this study to assess the role of the National Institutes of Health Stroke Scale ( ... ...

Abstract	Background: There have been many scales to predict pneumonia in stroke patients, but they are so complex, making it difficult to apply in practice. Therefore, we conducted this study to assess the role of the National Institutes of Health Stroke Scale (NIHSS) and the Gugging Swallowing Screen (GUSS) in predicting stroke-associated pneumonia (SAP). These scales are routinely used in stroke patients. Therefore, their application in predicting SAP risk will be of high value in clinical practice. There has been no previous study evaluating the effectiveness of SAP risk prediction for each of these scales. Aim: This study aimed to compare the value of NIHSS and GUSS in SAP prediction and their convenience in clinical practice. Methods: It was a cohort study. The receiver operating characteristics (ROC) curves were constructed to assess the sensitivity (Se) and specificity (Sp) of the scales. Area under the curves (AUC) were calculated, and we compared them. Results: NIHSS had a medium value of predictor of SAP with AUC 0.764 (95% CI 0.735-0.792), 65.4% Se, 76.5% Sp. GUSS had good value in predicting SAP with AUC 0.858 (95% CI 0.833-0.880), 80.5% Se, 80.1% Sp. Pairwise comparison of ROCs curves demonstrated that the difference between two AUCs was significant (p < 0.01). Performing GUSS required 24.5 ± 6.7 minutes, 2.5 times longer than NIHSS (9.9 ± 2.0 minutes). Conclusion: GUSS had a better predictive value of SAP than NIHSS. But NIHSS was more convenient in clinical practice because of its simple instrument and quick performance.
Language	English
Publishing date	2020-05-20
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2186560-7
ISSN	1178-203X ; 1176-6336
ISSN (online)	1178-203X
ISSN	1176-6336
DOI	10.2147/TCRM.S251658
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Article ; Online: The Production of Standardized Samples with Known Concentrations for Severe Acute Respiratory Syndrome Coronavirus 2 RT-qPCR Testing Validation for Developing Countries in the Period of the Pandemic Era.

Cuong, Hoang Quoc / Hai, Nguyen Duc / Linh, Hoang Thuy / Hieu, Nguyen Trung / Anh, Nguyen Hoang / Ton, Tran / Dong, Tran Cat / Thao, Vu Thanh / Tuoi, Do Thi Hong / Tuan, Nguyen Duc / Loan, Huynh Thi Kim / Long, Nguyen Thanh / Thang, Cao Minh / Thao, Nguyen Thi Thanh / Lan, Phan Trong

BioMed research international

2021 Volume 2021, Page(s) 5516344

Abstract: Background: Severe acute respiratory syndrome coronavirus 2 (: Methods: We synthesized RNA based on the genes published to estimate the concentration of inactivated virus samples in a biosafety level 3 laboratory. The limit of detection (LOD), ... ...

Abstract	Background: Severe acute respiratory syndrome coronavirus 2 ( Methods: We synthesized RNA based on the genes published to estimate the concentration of inactivated virus samples in a biosafety level 3 laboratory. The limit of detection (LOD), linearity, accuracy, and precision were evaluated according to the bioanalytical method validation guidelines. Results: We found that the LOD reached around 3 copies/reaction. Furthermore, intra-assay precision, accuracy, and linearity met the accepted criterion with an RSD for copies of less than 25%, and linear regression met the accepted Conclusions: We suggest that synthesized RNA based on the database of the NCBI gene bank for estimating the concentration of inactivated virus samples provides a potential opportunity for reliable testing to diagnose coronavirus disease 2019 (COVID-19) as well as limit the spread of the disease. This method may be relatively quick and inexpensive, and it may be useful for developing countries during the pandemic era. In the long term, it is also applicable for evaluation, verification, validation, and external quality assessment.
MeSH term(s)	COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/genetics ; COVID-19/virology ; Developing Countries/statistics & numerical data ; Humans ; Molecular Diagnostic Techniques/methods ; Molecular Diagnostic Techniques/standards ; Pandemics ; RNA, Viral/analysis ; RNA, Viral/genetics ; Reverse Transcriptase Polymerase Chain Reaction/methods ; SARS-CoV-2/genetics ; SARS-CoV-2/isolation & purification ; Validation Studies as Topic
Chemical Substances	RNA, Viral
Language	English
Publishing date	2021-08-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	2698540-8
ISSN	2314-6141 ; 2314-6133
ISSN (online)	2314-6141
ISSN	2314-6133
DOI	10.1155/2021/5516344
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