Ton Duc Thang University (Vietnamese: Đại học Tôn Đức Thắng) is a public university with the main campus in District 7, Ho Chi Minh City, Vietnam. Established on September 24, 1997, Ton Duc Thang University (TDTU) has been one of the top research universities in Vietnam. It is under the management of Vietnam General Confederation of Labour and is named after Tôn Đức Thắng, who was Vice-President of Vietnam from 1960 to 1969 under the presidency of Ho Chi Minh and later became President of Vietnam from 1969 to 1980. The University offers about 40 undergraduate programs, 18 master programs and 25 doctoral programs in variety of areas such as: law, applied science, technology, vocational skills, social sciences, economics, business, foreign languages, arts. Total enrollment is around 23,500.
This work is concerned with global gradient bounds for a class of divergence-form degenerate elliptic systems with complex-valued coefficients. Notably, the leading coefficients are merely required to be sufficiently small in BMO, which is strictly weaker than the VMO condition. In the complex setting, the well-posedness of this problem was recently investigated in [W. Kim, M. Vestberg, Existence, uniqueness and regularity for elliptic p-Laplace systems with complex coefficients,arXiv:2503.18932], where the authors established a strong accretivity condition on the leading coefficients, and this structural condition allows them to derive Schauder-type estimates for weak solutions. In our study, it has already been observed that gaining existence and uniqueness of weak solutions is possible under a natural and less restrictive assumption on the complex-valued coefficients. Following this direction, we prove a global Caderón-Zygmund-type estimate for weak solutions, from which the Morrey-space regularity follows as a consequence. This paper is a contribution to the better understanding of solution behavior and may be viewed as part of a series of works aimed at extending regularity theory in the complex-valued setting.
This numerical contribution examines the magnetic natural convection within a novel nanoliquid filled-enclosure with wavy wall and trapezoidal heater considering interior heat generation. Numerical solutions are obtained via Finite Element Method. The effectual thermal conductivity and viscosity of nanoliquid are computed by Koo-Kleinstreuer-Li correlations considering the nanoparticle's Brownian motion. Impacts of diverse parameters like heat generation parameter, shape factor of nanoparticles, Hartmann number, nanoparticles concentration, displacement of the trapezoidal heater wall, Rayleigh number, and amplitude of wavy wall on natural convective flow characteristic are perused. The results disclose that the application of an interior heat generation and horizontal magnetic field can be an effectual way in controlling natural convective flow inside the system.
Financial support from urban residents represents a potentially important resource for sustaining and expanding public parks, particularly tree-planting initiatives that contribute to biodiversity and human well-being. This study applies the Granular Interaction Thinking Theory (GITT) and Bayesian inference to examine how residents' perceptions of the consequences of biodiversity loss and their park-visit frequency relate to willingness to donate to tree-planting projects in public parks. Based on survey data from 535 Vietnamese residents, the results indicate that perceived loss of ecological knowledge and more frequent park visitation are associated with higher willingness to donate, whereas perceived health-related losses receive moderate posterior support for a positive association. Perceived reductions in economic growth are positively related to park visitation frequency, which, in turn, is associated with greater willingness to donate. In contrast, perceived losses from nature-based recreation are linked to lower visitation frequency and subsequently weaker willingness to make indirect donations. These findings suggest that communication and engagement strategies that emphasize personally and community-relevant benefits may be associated with stronger financial support intentions for urban tree-planting initiatives. As the study focuses on stated willingness rather than observed financial behavior, the implications pertain to intention-based support rather than realized contributions.
Plastic waste pollution poses a severe threat to blue tourism destinations; however, the mechanisms underlying the transition from tourist awareness to behavioral action, specifically tourists’ readiness for co-creation, remain underexplored. This study investigates the drivers of tourists’ readiness to co-create plastic waste solutions by applying the PLS-SEM approach to a sample of 426 visitors to Cua Dai Beach, Vietnam. By integrating the C-A-C framework with the TSOL perspective, the research uncovers distinct motivational pathways across four participation contexts. The analysis indicates that Social Awareness and Shared Responsibility generally drive the Perceived Value of Contribution, which in turn fosters action. However, this pathway is disrupted by financial incentives, which weaken the role of shared responsibility (the crowding-out effect). Conversely, voluntary community participation fosters direct engagement driven by intrinsic norms rather than calculated value. The study provides a multidimensional theoretical model of co-creative behavior for reducing plastic waste and suggests that tourism managers design context-sensitive initiatives that emphasize intrinsic motivation over potentially counterproductive financial incentives.
Ultra-energy-efficient communication solutions are required as Internet of Things (IoT) devices proliferate in the shift to 6G networks. In this paper, a novel architecture that uses energy harvesting (EH) protocols to integrate Ambient Backscatter Communication ( AmBC ) as a passive relay is investigated. An energy-constrained backscatter device uses a power splitting (PS) mechanism to both reflect its information to the destination and harvest energy for circuit activation. The main contribution of this work is the development of new and accurate closed-form expressions for the system outage probability (OP) over Rayleigh fading channels. Extensive Monte Carlo simulations are conducted to rigorously validate the accuracy of the proposed analytical framework. The analysis reveals important trade-offs between transmission reliability and energy-harvesting efficiency, providing valuable insights for resource optimization in future low-power IoT networks. The results demonstrate that the adverse effects of imperfect successive interference cancellation (SIC) and/or imperfect channel state information (CSI) can be effectively mitigated by increasing the transmit power and/or operating at the optimal value of the reflection coefficient. Moreover, the performance gap between perfect and imperfect SIC and CSI is shown to be relatively small. Finally, we analytically prove that the linear EH model serves as an upper bound for the practical nonlinear EH model.
