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Article ; Online: Collapse dynamics and deposition morphology of low-viscocohesive granular columns on a rough horizontal surface.

Vo, Thanh-Trung / Nguyen, Trung-Kien

2024 Volume 109, Issue 1-1, Page(s) 14904

Abstract: Using the three-dimensional discrete element method, we numerically investigate the collapse dynamics and deposition morphology of low-viscocohesive granular columns on a rough-horizontal plane by systematically varying a broad range of values of the ... ...

Abstract	Using the three-dimensional discrete element method, we numerically investigate the collapse dynamics and deposition morphology of low-viscocohesive granular columns on a rough-horizontal plane by systematically varying a broad range of values of the initial column aspect ratio, cohesive stress, and liquid viscosity. The results show that the kinetic energy, half runout time, and runout distance increase with increasing the initial column aspect ratio but decrease with increasing the cohesive and viscous effects of the binding liquid, while the toe angle and deposit height decrease with increasing the aspect ratio and increase with increasing cohesive stress and liquid viscosity. Remarkably, by defining a dimensionless scaling number that incorporates the Bond number and initial column aspect ratio, this allows us to nicely describe the kinetic energy, half runout time, deposition height, runout distance, and toe angle. These unified descriptions may provide insights into the physical properties of the collapse dynamics and deposition morphology of low-viscocohesive granular columns, leading to good explanations of the complex properties of natural disaster events.
Language	English
Publishing date	2024-02-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2844562-4
ISSN	2470-0053 ; 2470-0045
ISSN (online)	2470-0053
ISSN	2470-0045
DOI	10.1103/PhysRevE.109.014904
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Unified penetration depth of low-velocity intruders into granular packings.

Vo, Thanh-Trung / Nguyen, Trung-Kien

Physical review. E

2022 Volume 106, Issue 1-1, Page(s) 14902

Abstract: Penetration of intruders into granular packings is well described by separately considering the dry or wet case of granular environments in previous experiments and simulations; however, the unified description of such penetration depth in these two ... ...

Abstract	Penetration of intruders into granular packings is well described by separately considering the dry or wet case of granular environments in previous experiments and simulations; however, the unified description of such penetration depth in these two granular media remains elusive due to lacking clear explanations about its origins. Based on three-dimensional discrete element method simulations, we introduce a power-law fitting form of the final penetration depth of a spherical intruder with low velocity vertically penetrating into dry and wet granular packings, excellently expressed on a master curve as a power-law function of a dimensionless impact number that is defined as the square root of the ratio between the inertial stress of the intruder and the linear combination of the mean gravitational stress and the cohesive stress exerted on each grain in the packings, as a remarkable extension of the inertial number in dry granular flows. This scaling robustly provides physical insights inherent in the unified description of the material properties of granular packings and the impactor penetration conditions on the final penetration depth in the impact tests, providing evidence of impact properties in different disciplines and applications in science and engineering.
Language	English
Publishing date	2022-08-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	2844562-4
ISSN	2470-0053 ; 2470-0045
ISSN (online)	2470-0053
ISSN	2470-0045
DOI	10.1103/PhysRevE.106.014902
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Employment generation and manufacturing exports in Vietnam

Nguyen Trung Kien

Vietnam's socio-economic development : a social science review Vol. 22, No. 90 , p. 68-82

evidence from the Post-WTO accession

2017 Volume 22, Issue 90, Page(s) 68–82

Author's details	Nguyen Trung Kien
Keywords	Employment generation ; Manufacturing exports ; Labor-intensive goods ; Export-oriented industrialization ; WTO accession
Language	English
Publishing place	Hanoi
Document type	Article
ZDB-ID	1343756-2
ISSN	0868-359X
Database	ECONomics Information System

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Book ; Online: On Generalized Degree Fairness in Graph Neural Networks

Liu, Zemin / Nguyen, Trung-Kien / Fang, Yuan

2023

Abstract: Conventional graph neural networks (GNNs) are often confronted with fairness issues that may stem from their input, including node attributes and neighbors surrounding a node. While several recent approaches have been proposed to eliminate the bias ... ...

Abstract	Conventional graph neural networks (GNNs) are often confronted with fairness issues that may stem from their input, including node attributes and neighbors surrounding a node. While several recent approaches have been proposed to eliminate the bias rooted in sensitive attributes, they ignore the other key input of GNNs, namely the neighbors of a node, which can introduce bias since GNNs hinge on neighborhood structures to generate node representations. In particular, the varying neighborhood structures across nodes, manifesting themselves in drastically different node degrees, give rise to the diverse behaviors of nodes and biased outcomes. In this paper, we first define and generalize the degree bias using a generalized definition of node degree as a manifestation and quantification of different multi-hop structures around different nodes. To address the bias in the context of node classification, we propose a novel GNN framework called Generalized Degree Fairness-centric Graph Neural Network (Deg-FairGNN). Specifically, in each GNN layer, we employ a learnable debiasing function to generate debiasing contexts, which modulate the layer-wise neighborhood aggregation to eliminate the degree bias originating from the diverse degrees among nodes. Extensive experiments on three benchmark datasets demonstrate the effectiveness of our model on both accuracy and fairness metrics. Comment: This paper has been accepted by AAAI 2023
Keywords	Computer Science - Machine Learning ; Computer Science - Social and Information Networks
Subject code	006
Publishing date	2023-02-08
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Link Prediction on Latent Heterogeneous Graphs

Nguyen, Trung-Kien / Liu, Zemin / Fang, Yuan

2023

Abstract: On graph data, the multitude of node or edge types gives rise to heterogeneous information networks (HINs). To preserve the heterogeneous semantics on HINs, the rich node/edge types become a cornerstone of HIN representation learning. However, in real- ... ...

Abstract	On graph data, the multitude of node or edge types gives rise to heterogeneous information networks (HINs). To preserve the heterogeneous semantics on HINs, the rich node/edge types become a cornerstone of HIN representation learning. However, in real-world scenarios, type information is often noisy, missing or inaccessible. Assuming no type information is given, we define a so-called latent heterogeneous graph (LHG), which carries latent heterogeneous semantics as the node/edge types cannot be observed. In this paper, we study the challenging and unexplored problem of link prediction on an LHG. As existing approaches depend heavily on type-based information, they are suboptimal or even inapplicable on LHGs. To address the absence of type information, we propose a model named LHGNN, based on the novel idea of semantic embedding at node and path levels, to capture latent semantics on and between nodes. We further design a personalization function to modulate the heterogeneous contexts conditioned on their latent semantics w.r.t. the target node, to enable finer-grained aggregation. Finally, we conduct extensive experiments on four benchmark datasets, and demonstrate the superior performance of LHGNN. Comment: This paper has been accepted by TheWebConf 2023
Keywords	Computer Science - Machine Learning
Subject code	006
Publishing date	2023-02-20
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: High Ferritin and Low Total Iron-Binding Capacity in Plasma Predict All-Cause Mortality During the First 3 Years of Hemodialysis in Patients with End-Stage Chronic Kidney Disease.

Nguyen Thi Thu, Ha / Nguyen Van, Hung / Nguyen Minh, Tuan / Nguyen Trung, Kien / Le Viet, Thang

International journal of general medicine

2024 Volume 17, Page(s) 105–113

Abstract: Aim: To determine all-cause mortality rate and the predictive value of plasma ferritin and total iron-binding capacity (TIBC) concentrations for mortality during the first 3 years of hemodialysis in patients with end-stage chronic renal disease (ESRD).!# ...

Abstract	Aim: To determine all-cause mortality rate and the predictive value of plasma ferritin and total iron-binding capacity (TIBC) concentrations for mortality during the first 3 years of hemodialysis in patients with end-stage chronic renal disease (ESRD). Methods: We conducted a study on 174 ESRD patients (estimated Glomerular Filtration Rate < 15 mL/min/1.73m Results: The all-cause mortality rate of ESRD patients in the first 3 years of maintenance hemodialysis was 22.9%. Plasma high hs-CRP, high ferritin, and low TIBC concentrations were independent factors associated with all-cause mortality in the patients. Plasma ferritin (cut-off value = 454.2 ng/L) and TIBC (cut-off value = 39.84 µmol/L) were predictors of all-cause mortality, AUC is: 0.772; 0.723, p < 0.001. Conclusion: Plasma ferritin and TIBC were good predictors of all-cause mortality in ESRD patients during the first 3 years of hemodialysis.
Language	English
Publishing date	2024-01-12
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2452220-X
ISSN	1178-7074
ISSN	1178-7074
DOI	10.2147/IJGM.S446115
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Prevention of Migrating Atrial Septal Occluder in Large Hole Atrial Septal Defect Intervention by Snare.

Truong Hoai, Lam / Nguyen Hung, Duc / Nguyen Trung, Kien / Nguyen Thi, Duyen

Cureus

2023 Volume 15, Issue 3, Page(s) e36904

Abstract: Migrating Amplatzer Septal Occluder (ASO) is a rare complication due to insufficient margins, especially large-hole Atrial Septal Defect (ASD). After deploying, ASO occasionally exposes the low margins, resulting in dislocated devices and embolization. ... ...

Abstract	Migrating Amplatzer Septal Occluder (ASO) is a rare complication due to insufficient margins, especially large-hole Atrial Septal Defect (ASD). After deploying, ASO occasionally exposes the low margins, resulting in dislocated devices and embolization. The majority of embolizations happen right away after release. The embolized device must be removed using extended fluoroscopy and occasionally by open heart surgery. The device is released by unscrewing the cable while the snare holds the screw end. On Transesophageal Echocardiography (TEE), the device position is once again validated. If the device is stable, the snare is then removed.
Language	English
Publishing date	2023-03-30
Publishing country	United States
Document type	Case Reports
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.36904
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Effectiveness of a Health Education Program in Hypertensive Patients with Dyslipidemia and/or Microalbuminuria: A Quasi-Experimental Study in Vinh Long Province, Vietnam.

Le, Minh Huu / Nguyen, Trung Kien / Pham, Thi Tam / Pham, Trung Tin / Tran, Van De

Healthcare (Basel, Switzerland)

2023 Volume 11, Issue 15

Abstract: Introduction: Hypertension, a major health concern, is associated with significant mortality and disease burden worldwide, including Vietnam. Comprehensive interventions targeting medication, lifestyle modifications, dyslipidemia (DLP), and ... ...

Abstract	Introduction: Hypertension, a major health concern, is associated with significant mortality and disease burden worldwide, including Vietnam. Comprehensive interventions targeting medication, lifestyle modifications, dyslipidemia (DLP), and microalbuminuria (MAU) are vital for effective hypertension management and reducing the risk of cardiovascular disease complications (CDV). While medication interventions have proven efficacy, the evidence regarding the effectiveness of community-based health education interventions in managing DLP and MAU is limited. Therefore, this study aims to evaluate the effectiveness of community health education interventions in reducing hypertension risk factors and achieving hypertension management objectives, as well as managing DLP and MAU among hypertension patients. Methods: A quasi-experimental study was conducted on 330 hypertensive patients with dyslipidemia (DLP) and/or microalbuminuria (MAU) who were divided into a control group (n = 164) and an intervention group (n = 166). The control group received standard national hypertension management, while the intervention group received additional intensive health education provided by trained volunteers. The effectiveness of the intervention was assessed by comparing outcomes such as lifestyle factors, BMI control, treatment adherence, hypertension control, and DLP and MAU status between the two groups before and after a two-year intervention period. Results: The health education intervention resulted in significant reductions in dietary risk factors, specifically in fruit and vegetable consumption ( Conclusions: This study underscored the additional positive impact of incorporating health education by non-professional educators in achieving favorable outcomes, including better control of BMI, blood pressure, medication adherence, and management of dyslipidemia (DLP) and microalbuminuria (MAU). Further research is warranted to fully explore the potential of health education in primary healthcare settings and maximize its effectiveness.
Language	English
Publishing date	2023-08-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2721009-1
ISSN	2227-9032
ISSN	2227-9032
DOI	10.3390/healthcare11152208
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Manufacturing exports and employment generation in Vietnam

Nguyen Trung Kien

Southeast Asian journal of economics Vol. 3, No. 2 , p. 1-21

2015 Volume 3, Issue 2, Page(s) 1–21

Author's details	Trung Kien Nguyen
Keywords	Export-oriented industrialization ; input-output framework ; manufacturing exports ; employment ; Vietnam
Language	English
Publishing place	[Bangkok]
Document type	Article
ZDB-ID	2759959-0 ; 2759961-9
ISSN	2286-8984
ISSN	2286-8984
Database	ECONomics Information System

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Article ; Online: Preoperative urine neutrophil gelatinase-associated lipocalin predicts mortality in colorectal cancer patients after laparoscopic surgery: A single-center study.

Huynh Thanh, Long / Dao Bui Quy, Quyen / Nguyen Manh, Khiem / Nguyen Huu, Dung / Nguyen Trung, Kien / Le Viet, Thang

Health science reports

2023 Volume 6, Issue 10, Page(s) e1612

Abstract: Purpose: To determine the rate of acute kidney injury (AKI) after laparoscopic colorectal cancer (CRC) surgery and the predictive value of urine neutrophil gelatinase-associated lipocalin (uNGAL) for postoperative AKI and mortality during 3 years of ... ...

Abstract	Purpose: To determine the rate of acute kidney injury (AKI) after laparoscopic colorectal cancer (CRC) surgery and the predictive value of urine neutrophil gelatinase-associated lipocalin (uNGAL) for postoperative AKI and mortality during 3 years of follow-up. Methods: A total of 216 CRC patients who had undergone laparoscopic surgery were included in our study. We divided all patients into two groups, including group 1 ( Results: The ratio of postoperative AKI was 14.35% (31/216 patients). The urine NGAL level in group 1 was significantly higher than in group 2, Conclusions: The rate of acute kidney injury after laparoscopic CRC surgery was 14.35%. Preoperative urine NGAL has a good predictive value for postoperative acute kidney injury and mortality during 3 years of follow-up.
Language	English
Publishing date	2023-10-05
Publishing country	United States
Document type	Journal Article
ISSN	2398-8835
ISSN (online)	2398-8835
DOI	10.1002/hsr2.1612
Database	MEDical Literature Analysis and Retrieval System OnLINE

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