Institut Pasteur de Tunis
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Publications
2 063
Citations
34 696
h-index
70
Top-3 journals

PLoS ONE
(48 publications)

Toxicon
(47 publications)

Annales de Dermatologie et de Venereologie
(35 publications)
Top-3 organizations

Institut Pasteur
(118 publications)

Aix-Marseille University
(67 publications)

University of Monastir
(59 publications)
Top-3 foreign organizations

Institut Pasteur
(118 publications)

Aix-Marseille University
(67 publications)

Arabian Gulf University
(41 publications)
Most cited in 5 years
Found
Publications found: 60
Empowering Educators in Vietnamese Universities During the Era of Educational Internationalization
Innovative Digital Practices and Globalization in Higher Education
,
2024
,
citations by CoLab: 0
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Abstract
Tran T.

This study explores faculty development programs aimed at promoting internationalization within Vietnamese higher education institutions. It identifies existing programs, analyzes their characteristics, and highlights key gaps in their implementation. Using Social Exchange Theory (SET) as a theoretical framework, the study examines faculty members' motivations and engagement, focusing on the balance of perceived rewards and costs. Through a combination of qualitative data from focus-group discussions and semi-structured interviews, the research provides insights into the benefits and challenges associated with these programs. The findings suggest the need for more tailored initiatives that align with global best practices while addressing the unique context of Vietnam. Recommendations for enhancing faculty development programs are proposed, emphasizing the importance of institutional support and professional recognition. This study contributes to the discourse on internationalization in higher education and offers practical guidance for program improvement.
A Review on Biological Activity of Quinoline-based Hybrids
Chau N.B., Vu T.K.
Abstract:
The quinoline scaffold has gained attention for its potential applications in organic synthesis
and the medical field.The objective has been to identify quinoline-based hybrids with a range of
biological activities, including as anti-tuberculosis, anti-cancer, antimalarial, anti-inflammatory, anti-
Alzheimer's, antibacterial, and antidiabetic properties. This review provides a critical overview and
highlights the latest development of quinoline-based hybrids and their potential bioactivities.
Global Perspectives on Teacher Emotions and Agency in Higher Education: A Content and Bibliometric Analyses Over the Past Five Decades
Tran T., Nguyen T., Luong D.
ABSTRACTThis study dives deep into the evolution of research on teacher emotions (TE), teacher agency (TA) and their role within higher education institutions (HEIs) from 1975 to the present. Combining a meticulous bibliometric and content analysis, the paper has painted a detailed picture of how the academic conversation has developed over nearly half a century. The approach did not just count publications but looked at how they connected globally. The study reveals a rich tapestry of international collaborations, with the United States, Australia and China standing out as key players, showcasing the global interest in this field and its interconnected insights. Another fascinating finding is the uncovering of the multifaceted dimensions of research on TE and TA and the significance of regional and global perspectives in shaping the holistic landscape of the field. The emergent themes, such as ‘Language Teacher Emotion’ and the significant impact of ‘COVID‐19’ on educational dynamics, are even more intriguing. These themes strongly indicate the field's evolution and responsiveness to the emerging challenges in the contemporary academic landscape.
Does green productivity promote agricultural productivity in Vietnamese market?
Phuong N.T., Song N.V., Bach T.Q., Thanh Đ.T., Tiep N.C., Tien D.V., Ha T.V., Luong N.T.
Q2
Journal of Agribusiness in Developing and Emerging Economies
,
2024
,
citations by CoLab: 0
|
Abstract

PurposeThe research aims to assess the relationship between ecological innovation, green productivity, sustainable development and agricultural productivity in Vietnam. The agricultural sector of Vietnam has been observed with new opportunities which have fostered its productivity and growth.Design/methodology/approachThe study uses a range of methods where initially, the researcher used descriptive analysis, cointegration and unit root tests. Secondly, Quantile Autoregressive Distributed Lag (QARDL) is used to assess the short and long run effects. The QARDL methodology is employed to capture the relationship between variables. Through this approach, the researcher is able to examine the scale of the interaction between dependent and independent variables.FindingsThe unique findings drawn through statistical techniques are also a great addition to the context of literature related to Vietnam’s agricultural productivity. Practical insights can also not be denied as the study provides beneficial guidelines for Vietnam’s agricultural sector to refine agricultural productivity.Research limitations/implicationsScholars are advised to use strong literary techniques to overcome these limitations and give a more thorough investigation into the same ideas. The availability and dependability of data was one of the primary challenges in carrying out this study. Vietnam has made significant advances in the collection and documentation of agricultural data, but there might still be gaps in the availability of thorough and current data on ecological innovation, green production and sustainable development.Originality/valueVietnam’s unique socioeconomic, cultural and environmental features influence how ecological innovation, green productivity, sustainable development and agricultural production are interconnected. Consequently, consideration should be taken when applying the results to various scenarios.
The Study of Effective Regenerative Brakes on Battery Electric Vehicles
Long L.H., Quang K.V., Nam P.H., Van Thoan P., Hieu P.M.
The regenerative brake system is a standard to increase hybrid or battery-electric vehicles’ range per charge period. According to some research, the system can extend up to 16% of the range [1]. There are several studies on different configurations or strategies of control to improve the efficiency of regenerative brakes. Most of them use specifications from hybrid or battery electric vehicles that have a gross weight of more than 1 ton [2, 3]. More and more mini-battery electric vehicles have been introduced around the world, including in Vietnam. Therefore, the combination of regenerative and mechanical brakes on mini-battery electric vehicles that use low-power motors and batteries needs more consideration. This paper presents research on effective regenerative brakes on mini-battery electric vehicles (gross weight lower than 1 ton) equipped with BLDC motors in different conditions (initial SoCs and accelerations). The simulation on MATLAB Simulink showed that the efficiency can reach 24% per braking period under special brake conditions.
Structural, optical and magnetic properties of the nanosized perovskite-like DyFeO3 prepared by modified co-precipitation method
Nguyen A.T., Do A.K., Nguyen D.K., Tran T.N., Hoang C.H., Tran D.T., Anh V.T., Pham T.G., Bui T.H., Bui X.V.
In this work, DyFeO3 nanoparticles were synthesized by an improved co-precipitation method via the hydrolysis of Dy3+ and Fe3+ cations in boiling water, using a 5% ammonia solution as the precipitation agent. The physicochemical characteristics of the samples calcined at 750, 850, and 950 °C for 60 min were evaluated using FTIR, Raman, PXRD, EDX, SEM, TEM, DRS, and VSM methods. The stable single-phase DyFeO3 perovskite nanocrystals were obtained after calcination of the dried precursor at 750, 850, and 950 °C. According to PXRD, the average size of DyFeO3 crystals was calculated to be approximately 36–50 nm. The results revealed a homogeneous distribution of the main elements on the samples’ surfaces, with morphology consisting of isometric and highly agglomerated nanoparticles; the size of most DyFeO3 nanoparticles calcined at 850 °C distributed in the range of 30–50 nm. In the applied field from − 15 to + 15 kOe, the sample calcined at 850 and 950 °C had low values of coercive field (Hc = 1.4 × 10−2–1.8 × 10−2 Oe) and remanent magnetization (Mr = 1.10 × 10−7–0.54 × 10−7 emu g−1, but high values of net magnetization (Mn = 2.69–2.75 emu g−1); the samples appeared to behave as paramagnetic materials. The DyFeO3-850 °C and DyFeO3-950 °C samples demonstrated a high absorbance at wavelengths of 400–600 nm, with low values of direct bandgap (Eg = 2.31–2.15 eV).
Deep learning and explainable artificial intelligence for investigating dental professionals' satisfaction with CAD software performance
Mai H., Win T.T., Kim H., Pae A., Att W., Nguyen D.D., Lee D.
AbstractPurposeThis study aimed to examine the satisfaction of dental professionals, including dental students, dentists, and dental technicians, with computer‐aided design (CAD) software performance using deep learning (DL) and explainable artificial intelligence (XAI)‐based behavioral analysis concepts.Materials and MethodsThis study involved 436 dental professionals with diverse CAD experiences to assess their satisfaction with various dental CAD software programs. Through exploratory factor analysis, latent factors affecting user satisfaction were extracted from the observed variables. A multilayer perceptron artificial neural network (MLP‐ANN) model was developed along with permutation feature importance analysis (PFIA) and the Shapley additive explanation (Shapley) method to gain XAI‐based insights into individual factors' significance and contributions.ResultsThe MLP‐ANN model outperformed a standard logistic linear regression model, demonstrating high accuracy (95%), precision (84%), and recall rates (84%) in capturing complex psychological problems related to human attitudes. PFIA revealed that design adjustability was the most important factor impacting dental CAD software users' satisfaction. XAI analysis highlighted the positive impacts of features supporting the finish line and crown design, while the number of design steps and installation time had negative impacts. Notably, finish‐line design‐related features and the number of design steps emerged as the most significant factors.ConclusionsThis study sheds light on the factors influencing dental professionals' decisions in using and selecting CAD software. This approach can serve as a proof‐of‐concept for applying DL‐XAI‐based behavioral analysis in dentistry and medicine, facilitating informed software selection and development.
Associations of COVID-19-related fear with kidney disease quality of life and its subscales among hemodialysis patients as modified by health literacy: a multi-hospital survey
Pham M.D., Tran T.T., Duong T.V., Do B.N., Dang L.T., Nguyen D.H., Hoang T.A., Nguyen H.C., Le L.T., Pham L.V., Nguyen L.T., Nguyen H.T., Trieu N.T., Do T.V., Trinh M.V., et. al.
The relationship between business strategy and internal control in aquaculture firms
Truong D.D., Do D.T., Le T.H., Duong T.Q., Tran T.N., Ha T.T.
Any company that wants to achieve both financial and non-financial performance needs to have internal controls. Internal controls are intended to reduce risks, safeguard resources, guarantee accurate financial reporting, boost productivity, and ease compliance (Bashaija, 2022). The purpose of this study is to investigate how internal control and business strategy interact in Vietnamese aquaculture companies. To gather information, a survey of 225 workers in Vietnamese aquaculture companies was done. Through qualitative and quantitative methodologies, we used Cronbach’s alpha, exploratory factor analysis (EFA), and regression analysis to determine the relationship between business strategy and internal control. The results showed that the business strategy had a positive relationship with internal control. In particular, the defensive strategy is the strongest. From the findings, this study suggests several recommendations to improve internal control, such as improving business strategy. The findings are thought to be a helpful resource for Vietnamese aquaculture companies looking to move toward sustainable development.
Case Study
Handbook of Research on Teaching Methods in Language Translation and Interpretation
,
2024
,
citations by CoLab: 0
|
Abstract
Tran T.T., Nguyen H.T.

This chapter delves into the impact of case studies within applied linguistics and language education, underscoring its indispensable role in navigating the complexities of contemporary language learning and teaching. The chapter illuminates how this approach facilitates a nuanced understanding of linguistic phenomena within real-life contexts by examining the case study method's core principles, design, and implementation strategies. Emphasizing the flexibility and adaptability of case studies, the chapter showcases their capacity to offer in-depth, rich insights that transcend traditional research methodologies. This chapter also articulates an argument for integrating case studies in advancing the field's knowledge base and practice by aligning its mission with the book's overarching aim. Concluding with a reflective synthesis, the chapter invites researchers and practitioners alike to engage with the case study, highlighting its transformative potential and enduring impact on applied linguistics and language education.
Automated scoring and augmented reality visualization software program for evaluating tooth preparations
Mai H., Ngo H.C., Cho S., Lee D.
Tooth preparation is an essential part of prosthetic dentistry; however, traditional evaluation methods involve subjective visual inspection that is prone to examiner variability.The purpose of this study was to investigate a newly developed automated scoring and augmented reality (ASAR) visualization software program for evaluating tooth preparations.A total of 122 tooth models (61 anterior and 61 posterior teeth) prepared by dental students were evaluated by using visual assessments that were conducted by students and an expert, and auto assessment that was performed with an ASAR software program by using a 3-dimensional (3D) point-cloud comparison method. The software program offered comprehensive functions, including generating detailed reports for individual test models, producing a simultaneous summary score report for all tested models, creating 3D color-coded deviation maps, and forming augmented reality quick-response (AR-QR) codes for online data storage with AR visualization. The reliability and efficiency of the evaluation methods were measured by comparing tooth preparation assessment scores and evaluation time. The data underwent statistical analysis using the Kruskal-Wallis test, followed by Mann-Whitney U tests for pairwise comparisons adjusted with the Benjamini-Hochberg method (α=.05).Significant differences were found across the evaluation methods and tooth types in terms of preparation scores and evaluation time (P
The impact of social capital on the public general education governance
Nguyen H.L., Duong T.D., Nguyen T.M., Nguyen T.H., Bui V.H., Nguyen B.T.
Scientists from a variety of disciplines have recognized social capital as a valuable resource in Vietnam since the early 2000s; nevertheless, this kind of capital can only exist when it is observable and the benefits of social capital can be quantified (Uphoff & Wijayaratna, 2000). As seen by the poor engagement in social activities and social media networks, social capital is actually very restricted in Vietnam’s state general education schools. This makes it difficult to raise the standard of instruction and learning objectives. This study aims to investigate the influence of social capital on the advancement of public general education. By analyzing the structural equation model (SEM), the study’s survey method uses a questionnaire with a scale of 488 teachers and employees in public general education. As shown in the result, social capital impacts not only directly and positively but also indirectly on the development of public general education through intermediary factors such as in-school knowledge transfer, school brand, and training service quality. The study makes several recommendations to increase social capital in order to set the groundwork for the growth of public general education in Vietnamese schools, based on these findings.
The impact of managers’ emotional intelligence on transformational leadership styles in firms
Doan T.M., Nguyen T.T., Tran Q.B., Vu T.T., Nguyen T.M., Nguyen T.X.
The effectiveness of an organization is significantly influenced by the leadership styles used (Almahasneh et al., 2023). This study aims to investigate how the emotional intelligence (EI) of managers affects transformational leadership styles in North Central Vietnamese enterprises. With data from 632 samples — managers — exploratory factor analysis (EFA) and structural equation modeling (SEM) were used to define the study problem using the quantitative approach. The findings demonstrate that through the intermediary components of employee knowledge sharing at work and corporate social responsibility, managers’ EI has both direct and indirect impacts on transformational leadership style. Furthermore, information sharing has been shown to have a positive impact on corporate social responsibility toward employees and a negative impact on opportunistic behavior. Based on the findings, several recommendations are proposed to enhance and promote the effectiveness of transformational leadership styles for managers. Considering the social implications and the practicality of the research, stakeholders should push for solutions that would ensure transformational leadership styles for managers. The study’s findings contribute to our understanding of leadership and are particularly useful for teams working in Vietnamese and other Asian firms.
Effectiveness of virtual reality interactive simulation practice in prosthodontic education: A systematic review and meta‐analysis
Mai H., Ngo H.C., Cho S., Duong C.P., Mai H.Y., Lee D.
AbstractIntroductionVirtual reality‐based interactive simulation (VRIS) provides a safe and controlled environment for dental students and professionals to develop skills and knowledge. This study aimed to investigate the effectiveness of using the VRIS for prosthodontic practice and to explore the trends, application areas, and users' attitudes towards VRIS.Materials and MethodsThis review followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines for searching studies published until 21 March 2023 that reported quantitative or qualitative learning outcomes related to the use of VRIS for dental prosthodontic practice and clinical training. The quality of the included studies was assessed using the Medical Education Research Study Quality Instrument (MERSQI) and Newcastle–Ottawa Scale‐Education (NOS‐E) tools. A random‐effects meta‐analysis was conducted to compare the intervention group (utilizing VRIS) and the control group (employing conventional prosthodontic training methods) based on performance skill scores and task completion time, with a significance level set at <.05.ResultsThe meta‐analysis revealed that the utilization of VRIS generally improves students' performance scores (SMD = 1.04; 95% CI, −0.35 to 2.44; I2 > 50%; p = .13) and reduces task completion time (SMD = −0.03; 95% CI, 1.39–7.72; I2 > 50%; p = .93). Notably, using VRIS significantly enhanced the performance scores in implant surgery practice (SMD = 0.26; 95% CI, 0.09–0.42; p < .05). Additionally, the VRIS method significantly reduced task completion time in the cavity restorative preparation task (SMD = −1.19; 95% CI, −1.85 to −0.53; p < .05).ConclusionEngaging in practice with VRIS has the potential to enhance learning proficiency in prosthodontic education. The advantages associated with VRIS encompass the provision of immediate feedback, decreased task completion time, heightened confidence and motivation, accelerated skill acquisition, improved performance scores, and increased learning engagement.
Potential inhibitory activities of phytoconstituents in Salvia miltiorrhiza against coronary heart disease drug targets using docking and ADMET studies
Man T.T., Nguyen N.L., Pham H.S., Tran T.H., Bach L.G., Long P.Q., Ha V.H., Do T.L., Pham T.H., Lê T.T.
Coronary heart disease (CHD) is one of the leading causes of death worldwide. The effectiveness of the current drugs is still restricted due to high side effects; thus, it is urgently needed to discover novel compounds for drug development. In the field of drug discovery research, the main target receptors for chemotherapy are identified as ACE, PPAR-γ, HMGR, COX-2, and thrombin. In this study, docking simulations were performed for phytoconstituents of Salvia miltiorrhiza Bunge in searching for compounds with potential inhibitory activities against these proteins. As a result, six compounds were suggested as potential multitarget inhibitors and could be considered for further drug development studies based on docking conformation and ADMET property analysis.


















