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"Nguyen, Tu Anh"
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The thinsulin program : the breakthrough solution to help you lose weight and stay thin
A two-stage weight loss program draws on decades of medical and psychiatric expertise to explain how to regulate insulin levels, rather than calories, to promote fat burning and prevent the body from storing unnecessary fat.
Book
On Generative Spoken Language Modeling from Raw Audio
We introduce
, the task of learning the acoustic and linguistic characteristics of a language from raw audio (no text, no labels), and a set of metrics to automatically evaluate the learned representations at acoustic and linguistic levels for both encoding and generation. We set up baseline systems consisting of a discrete speech encoder (returning pseudo-text units), a generative language model (trained on pseudo- text), and a speech decoder (generating a waveform from pseudo-text) all trained without supervision and validate the proposed metrics with human evaluation. Across 3 speech encoders (CPC, wav2vec 2.0, HuBERT), we find that the number of discrete units (50, 100, or 200) matters in a task-dependent and encoder- dependent way, and that some combinations approach text-based systems.
Journal Article
Innovation and foreign direct investment attraction in developing countries
The present study investigates the relationship between innovation (INN) and foreign direct investment (FDI) attraction across 66 developing countries from 2013 to 2021. Adopting the Difference Generalized Method of Moments estimation, the study reveals a statistically positive INN-FDI nexus. Panel Granger causality analysis further indicates a bidirectional between the two variables. Additionally, via feature importance analysis, it is evident that market size, labor resources, and financial development play a critical role in strongly influencing FDI inflows, while innovation shows smaller magnitude. Furthermore, trade openness demonstrates a significantly positive impact on FDI with low impact, while inflation has an insignificantly negative effect on FDI. Policy implications are also discussed. Developing countries, particularly those seeking to attract foreign direct investment (FDI), consider paying attention to the innovation (INN) factor. Alongside traditional factors such as market size and abundant labor force are strengths of FDI attraction for developing countries, new models should be continually developed. In this context, the researcher hypothesizes that multinational enterprises are interested in new resources related to INN to meet their production requirements. Indeed, INN and its efficacy in attracting FDI in developing countries, which pay less resources to allocate innovation, remains unproven. Drawing upon data from the global innovation index, the experimental findings of this research show the bidirectional FDI-INN nexus and suggest that policies aimed at attracting FDI should prioritize those based on advanced technologies. Additionally, via feature importance analysis, market size and labor force cannot be ignored in the analyzed context.
Journal Article
Human-Machine Shared Driving Control for Semi-Autonomous Vehicles Using Level of Cooperativeness
This paper proposes a new haptic shared control concept between the human driver and the automation for lane keeping in semi-autonomous vehicles. Based on the principle of human-machine interaction during lane keeping, the level of cooperativeness for completion of driving task is introduced. Using the proposed human-machine cooperative status along with the driver workload, the required level of haptic authority is determined according to the driver’s performance characteristics. Then, a time-varying assistance factor is developed to modulate the assistance torque, which is designed from an integrated driver-in-the-loop vehicle model taking into account the yaw-slip dynamics, the steering dynamics, and the human driver dynamics. To deal with the time-varying nature of both the assistance factor and the vehicle speed involved in the driver-in-the-loop vehicle model, a new ℓ∞ linear parameter varying control technique is proposed. The predefined specifications of the driver-vehicle system are guaranteed using Lyapunov stability theory. The proposed haptic shared control method is validated under various driving tests conducted with high-fidelity simulations. Extensive performance evaluations are performed to highlight the effectiveness of the new method in terms of driver-automation conflict management.
Journal Article
A numerical research on the interaction between underwater explosion bubble and deformable structure using CEL technique
The dynamic process of an underwater explosion (UNDEX) bubble in the vicinity of deformable structures is a complex phenomenon that has been studied by many researchers. The dynamic process of a UNDEX bubble is a complex transient problem that results in a highly distorted bubble and large deformation of the structure. The previous work has introduced various solutions for studying the interaction between the UNDEX bubble and deformable structure. The interaction between the bubble and nearby structures has been widely solved by the combination of the boundary element method (BEM) and the finite element method (FEM). However, this couple requires tight time-step controlling, long-time analysis, and large computer resources. Furthermore, this combination is not widely used as the FEM code in commercially available software for solving UNDEX bubble problems. This paper presents a coupled Eulerian-Lagrangian (CEL) approach in commercial software to deal with the fluid-structure interaction (FSI). The numerical model of a UNDEX bubble is first developed and verified by comparing results with experimental, BEM, and empirical data. Then both bubble behavior and structural deformation are examined in various case studies. The numerical results show that the stiffness of the structure has strongly influenced the bubble behavior and the water jet development. The pressure pulse becomes significantly large as the bubble collapse. Besides, this numerical approach also can reproduce crucial phenomena of a UNDEX bubble, such as the whipping effect and water jet attacks. Although the numerical model is developed using simplified boundary conditions, the proposed approach shows the feasibility of simulating the important features of a UNDEX bubble process as well as the response of nearby structures.
Journal Article
Topical calcipotriol versus liquid nitrogen spray in the treatment of palmoplantar warts: An observational study
Objective
Palmoplantar warts are among the most common types of warts and are often challenging to treat. Currently, only a few effective treatments exist for palmoplantar warts. This study aimed to compare the efficacy and safety of 0.05% topical calcipotriol ointment and liquid nitrogen spray in the treatment of palmoplantar warts.
Methods
Fifty-eight adult patients with palmoplantar warts were randomly assigned to two groups. Thirty patients in Group A were treated with 0.05% topical calcipotriol twice daily, while twenty-eight patients in Group B received liquid nitrogen spray biweekly. Both treatments were administered for 8 weeks.
Results
Statistically significant reductions in wart number and size were observed in both groups at weeks 4 and 8; however, the differences between the two groups were not statistically significant. Most adverse events in the calcipotriol group were mild, while those in the liquid nitrogen group included pain (82.14%), vesicular lesions (78.57%), erythema (42.86%), bleeding (3.57%), and edema (3.57%).
Conclusions
Both treatments demonstrated comparable efficacy; however, topical calcipotriol was safer than liquid nitrogen spray for treating palmoplantar warts. The 0.05% topical calcipotriol ointment may represent a safer alternative to liquid nitrogen spray for the treatment of palmoplantar warts.
Journal Article
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that COVID-19 infection may cause cardiac injury, and electrocardiograms (ECG) may serve as a diagnostic biomarker for COVID-19. This study aims to utilize ECG signals to detect COVID-19 automatically. We propose a novel method to extract ECG signals from ECG paper records, which are then fed into one-dimensional convolution neural network (1D-CNN) to learn and diagnose the disease. To evaluate the quality of digitized signals, R peaks in the paper-based ECG images are labeled. Afterward, RR intervals calculated from each image are compared to RR intervals of the corresponding digitized signal. Experiments on the COVID-19 ECG images dataset demonstrate that the proposed digitization method is able to capture correctly the original signals, with a mean absolute error of 28.11 ms. The 1D-CNN model (SEResNet18), which is trained on the digitized ECG signals, allows to identify between individuals with COVID-19 and other subjects accurately, with classification accuracies of 98.42% and 98.50% for classifying COVID-19 vs . Normal and COVID-19 vs . other classes, respectively. Furthermore, the proposed method also achieves a high-level of performance for the multi-classification task. Our findings indicate that a deep learning system trained on digitized ECG signals can serve as a potential tool for diagnosing COVID-19.
Journal Article
Peer-To-Peer Lending In Viet Nam: A Review of Literature
Purpose: Fintech technologies have been developed very quickly and are starting to flood the market worldwide.
This paper aims to conduct a literature review in peer-to-peer (P2P) lending in Vietnam.
Design/methodology/approach: For Vietnamese borrowers without a bank account, peer-to-peer (P2P) lending may be the answer. Review of the literature relating to the emergent but fast spreading phenomenon of peer-to-peer (P2P) lending from 2018 to 2024 shows that peer-to-peer lending service is expected to become a major trend of the Vietnamese digital economy. The authors conducted Systematic Literature Review (SLR) on 54 Scopus and Web of Science database publications importing them in the Mendeley software.
Findings: Several significant factors affect the intention to invest in P2P loans as shown in this study. The perceived risk, perceived security, trust propensity, platform service quality and government policy and regulations are the factors affecting its adoption.
Research limitations/implications: This research also helps to identify the stakeholders that are the parties involved in P2P industry namely Buyers, Sellers, P2P Lending Platforms and others.
Originality/value: The paper provides a review of the literature relating to the emergent but fast spreading phenomenon of peer-to-peer (P2P) lending from 2018 to 2024. KCI Citation Count: 0
Journal Article
Mutagenesis of odorant coreceptor Orco fully disrupts foraging but not oviposition behaviors in the hawkmoth Manduca sexta
The hawkmoth Manduca sexta and one of its preferred hosts in the North American Southwest, Datura wrightii, share a model insect–plant relationship based on mutualistic and antagonistic life-history traits. D. wrightii is the innately preferred nectar source and oviposition host for M. sexta. Hence, the hawkmoth is an important pollinator while the M. sexta larvae are specialized herbivores of the plant. Olfactory detection of plant volatiles plays a crucial role in the behavior of the hawkmoth. In vivo, the odorant receptor coreceptor (Orco) is an obligatory component for the function of odorant receptors (ORs), a major receptor family involved in insect olfaction. We used CRISPR-Cas9 targeted mutagenesis to knock out (KO) the MsexOrco gene to test the consequences of a loss of OR-mediated olfaction in an insect–plant relationship. Neurophysiological characterization revealed severely reduced antennal and antennal lobe responses to representative odorants emitted by D. wrightii. In a wind-tunnel setting with a flowering plant, Orco KO hawkmoths showed disrupted flight orientation and an ablated proboscis extension response to the natural stimulus. The Orco KO gravid female displayed reduced attraction toward a nonflowering plant. However, more than half of hawkmoths were able to use characteristic odor-directed flight orientation and oviposit on the host plant. Overall, OR-mediated olfaction is essential for foraging and pollination behaviors, but plant-seeking and oviposition behaviors are sustained through additional OR-independent sensory cues.
Journal Article
The Rural-Urban Inequality in Fringe Benefits for Workers in SMEs: Evidence from Vietnam
Purpose: Rural-urban inequality in non-wage benefits remains a central focus for policymakers; however, there is little empirical evidence reported for developing economies, such as Vietnam. This study investigates the rural-urban disparity in mandatory fringe benefits in Vietnam. Design/methodology/approach: This study applies a logistic regression model and utilizes a firm-level panel dataset of small and medium enterprises (SMEs) in Vietnam (2005-2015). Findings: Our findings are threefold. First, the probability of rural SMEs providing five types of statutory fringe benefits—social insurance, health insurance, compensation, sick leave, and maternity leave—to workers is significantly lower than that of their urban counterparts. Second, the disparity in the probability of sick leave payments between rural and urban SME workers is the largest, while the gap in social insurance shows the smallest difference. Last, access to formal loans, the presence of labor unions, and larger firm size are identified as contributing factors to the provision of mandatory fringe benefits. Research limitations/implications: These results may provide insights for place-based policymakers in designing regional development strategies and legal assistance initiatives to improve welfare for rural workers in developing countries. Originality/value: For the first time, robust empirical results of the rural-urban disparity in social insurance, health insurance, and maternity leave paid to workers in SMEs are presented for a developing country, such as Vietnam.
Journal Article