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Although many conventional level-set approaches can be used for segmenting images containing factors such as noise and intensity inhomogeneities, they still can impact the accuracy of the results seriously. To solve this problem, a level-set method for fast image segmentation based on pre-fitting and bilateral filtering is proposed.

Firstly, an improved bilateral filter was investigated for image preprocessing. Secondly, by computing the local average intensity of the preprocessed enhanced picture, two local pre-fitting functions were defined. Thirdly, a new level-set energy functional was defined. Finally, a new distance regularized energy term based on the logarithmic and polynomial functions is proposed to evolve the level-set function in a smooth state.

The experimental results demonstrate that the proposed model has an excellent segmentation capability for images with noise and intensity inhomogeneities and has different degrees of performance improvement compared with the mainstream models.

(C1) An improved bilateral filter was investigated and integrated into the model. (C2) Proposing two local pre-fitting functions by computing the local average intensity of the preprocessed enhanced image. (C3) Proposing a new level-set energy functional. (C4) A new distance regularized energy term based on the logarithmic and polynomial functions is proposed to evolve the level set function in a smooth state. (C5) Analyzing and comparing the performance of the proposed model with other similar models.

On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social commerce platforms, with the mediating effect of emotional exhaustion and the moderating role of social overload.

This study applied a multi-method quantitative approach including a survey and two experiments. Data were obtained from consumers on popular social commerce platforms in China. The survey's sample size was 327 respondents, whereas a total of 1,621 consumers participated in the two experiments.

Findings from the survey reveal that information confusion affects switching intention directly and indirectly via emotional exhaustion. Moreover, social overload moderates the emotional exhaustion–switching intention relationship and the indirect impact of information confusion on switching intention. Results of the two experiments further confirm the relationships found in the survey.

This study develops and validates a mediation and moderation model which expectedly serves as a framework to better explain consumer switching intention on social commerce platforms. The study also offers fresh insights into consumer switching intention in the unique context of social commerce in an emerging market (i.e. China), which has been largely ignored in the prior literature.

The purpose of this study is to evaluate the rainfall intensities and their limits for durations from 0.25 to 8 h with return periods from 2 to 100 years for Ca Mau City in Vietnam.

First, the quality of the historical rainfall data series in 44 years (1975–2018) at Ca Mau station was assessed using the standard normal homogeneity test and the Pettitt test. Second, the appraised rainfall data series are used to establish the rainfall intensity-duration-frequency curve for the study area.

Based on the findings, a two-year return period, the extreme rainfall intensities (ERIs) ranged from 9.1 mm/h for 8 h rainstorms to 91.2 mm/h for 0.25 h. At a 100-year return period, the ERIs ranged from 18.4 mm/h for 8 h rainstorms to 185.8 mm/h for 0.25 h. The results also show that the narrowest uncertainty level between the lower and upper limits recorded 1.6 mm at 8 h for the two-year return period while the widest range is at 42.5 mm at 0.25 h for the 100-year return period. In general, the possibility of high-intensity rainfall values compared to the extreme rainfall intensities is approximately 2.0% at the 100-year return period.

The results of the rainfall IDF curves can provide useful information for policymakers to make the right decisions in controlling and minimizing flooding in the study area.

The purpose of this paper is to explore the domain of metaverse commerce and conduct a thorough examination of the complex dynamics that contribute to impulsive purchasing behavior. This study aims to examine the impact of vividness, interactivity and effectiveness on social presence and telepresence within the metaverse, a digital landscape. Specifically, it seeks to understand how these factors influence consumers' impulsive buying behavior.

The methodology used in this study consisted of distributing self-administered questionnaires via a survey. Data collection was conducted among a targeted sample of 348 participants in Vietnam who had direct experience with metaverse commerce services. Then, the collected data was subjected to analysis using two distinct methodologies: partial least squares structural equation modeling and artificial neural networks.

The findings of this study provide significant insights into the correlation between social presence, telepresence and impulsive buying behavior within the field of metaverse commerce. The research findings also indicate that the impact of social presence and telepresence on impulsive purchasing behavior is contingent upon the enhanced vividness, effectiveness and interactivity of the virtual environment.

The present investigation unveiled a range of linear and non-linear mechanisms that elucidate the functions of effectiveness, vividness and interactivity in facilitating the complex interplay between social presence, telepresence and impulsive buying behavior in the context of metaverse commerce. The study provides both theoretical and practical contributions to the existing body of literature on Metaverse commerce.

Agricultural systems in Mekong Delta have transformed to cope with climate change. Various researches pointed out that integrated agriculture-aquaculture (IAA) farming systems (i.e., rice-shrimp, rice-fish…) emerged as potential climate adaptive practices. However, limited studies are attempting to assess the sustainability of these agricultural practices. Therefore, it is essential to assess whether or not these systems will be sustainable in the context of climate change and what can be done to make it sustainable. The present study conducted the sustainability assessment of the rice-shrimp system to identify potential areas for improvement as well as policy implication to increase resilience and adaptation of coastal IAA system which could contribute to the understanding of other coastal agricultural deltas around the globe.

This study used a quantitative approach including the assessment protocol of van Asselt et al. (2014), the assessment framework of Vanloon et al. (2005), and the MCA methodology to flexibly and holistically assess the sustainability level of agricultural systems.

Results concluded that rice-shrimp systems have the potential to improve livelihood, food security, and adaptation of coastal farmers. Major improvements should be considered for productivity, efficiency, and equity themes, while minor improvements can be made for stability, durability, and compatibility themes.

This research could be used as a guideline for sustainability assessment in a context-specific case study of IAA, which showed a potential for the application of other climate-smart IAAs in similar contexts around the globe.

This study proposes a serial mediation model to investigate the factors influencing hospitality and tourism (H&T) students' destination choice intentions in an experiential learning context. By extending the theory of planned behavior (TPB) model to include extended variables and the stimulus-organism-response (S-O-R) theory, this study explores pathways in which experiential learning involvement (IEL) and destination emotions (DE) interact with attitude (ATT), subjective norms (SN) and perceived behavioral control (PBC) to predict H&T students' intentions (ITT). This work also examines the moderating role of destination familiarity (DF) on relationships between destination emotions and attitudes, subjective norms and perceived behavioral control.

The conceptual model and research hypotheses were each assessed using partial least squares structural equation modeling (PLS-SEM). Paper-based surveys were used to collect data from 715 students majoring in tourism and hospitality training at schools in Vietnam and applying experiential learning activities during their training.

Research results confirm a serial mediation model wherein IEL and DE promote the formation of intention to choose a specific destination through various pathways: IEL? PBC? ITT; IEL? DE? SN/PBC? ITT and DE? SN/PBC? ITT. In addition, the results show that destination familiarity dampens the relationship between emotions and attitudes as well as with perceived behavioral control.

This study offers practical recommendations for destination management organizations (DMOs) seeking to increase the intention of H&T students to choose their particular destination. These recommendations include: forming strategic alliances with H&T educational institutions; implementing preferential policies like discounted or free admission to attractions and corporate discounts for students; launching targeted digital marketing campaigns on social media platforms and promoting the destination through youth-oriented media such as television shows and music videos.

From addressing the research gap by developing and testing a serial mediation model of destination choice intention of H&T students in an experiential learning context, this study offers new insights into developing scales of constructs in the research model associated with the context of experiential learning and highlights the importance of IEL and DE as a stimulus to achieve ATT, SN and PBC, all of which serve to increase H&T students' intention to choose a destination through different paths under the moderating lens of destination familiarly.

This study aims to investigate the institutional, macroeconomic and firm-specific determinants of financial leverage in Vietnam and provides new evidence from the dynamic panel fractional estimator.

This study uses a panel dataset of 859 Vietnamese firms from 2008 to 2022 and employs three estimators: Feasible Generalized Least Squares (FGLS), System Generalized Method of Moments (SysGMM) and Dynamic Panel Fractional (DPF), with DPF being particularly suitable for handling fractional dependent variables and the dynamic nature of financial leverage.

The results confirm the dynamic nature of the financial leverage model, with firm-specific factors, institutional factors and macroeconomic factors playing significant roles in shaping firms' financing decisions. The DPF estimator highlights the positive impact of stock market development on leverage. This study contributes to the literature by providing new evidence on the determinants of leverage in Vietnam, using the DPF estimator for more accurate estimation and revealing the significant impact of the size of the banking sector, the size of the stock market, the stock market development index, the financial development index and the corruption perception index on leverage.

This study contributes to the literature by providing new evidence on the dynamic nature of the financial leverage model and the impact of institutional, macroeconomic and firm-specific factors on financial leverage in the context of Vietnam. The use of the DPF estimator allows for a more accurate and reliable estimation of the determinants of leverage, considering the fractional nature of the dependent variable and the persistence of capital structure decisions over time.

The purpose of this paper is to show the adaptation of participatory concept: “from passive to active community” which is the key point to achieve successes of the case study project – a cultural village in Tam Thanh, Tam Ky, Quang Nam, Vietnam. Its achievements result from the employment of three principal steps including identifying core issues in the community, creating changes in human perceptions and living conditions, and demanding operation and maintenance of the community further. The project can seem to be an outstanding showcase for the applicability and possibility of other community projects around Vietnam.

The paper uses the previous community projects developed in Vietnam. However, they are less effective for the community in long-term due to ignoring/underestimating the role of local people. The case study is an impoverished residential neighbourhood in Tam Thanh, Quang Nam. The authors along with the colleagues observed and conducted the workshops on site to understand the problems, values and expectations of people and the land. The paper likes as a summary for achievements and lessons extracted from that field study. The comparison to the previous projects shows the efficiency of participatory design with the active involvement of the local community.

The practical experiences to find successes for the community projects in Vietnam: collaboration of experts, architects, volunteers and local people; classification of roles for groups of participants; the involvement of the local government. engagement of a collaborative relationship with the community under the patience, comprehension and sympathy of all members of the community; and role of the architects involving the projects should be supported for people’s participation to come up with the idea instead of proposing strict ideas.

The appropriate approaches on the right subjects and right time are the key of successes and sufficiency for the community projects, particularly to the impoverished neighbourhoods or places with sensitive issues. The Tam Thanh village is a typical example and its experiences can be disseminated for the other projects. It indicates the active and respectful involvement of like-minded people (experts, volunteers, sponsors, managers and in particular local people) is very important to achieve the final expected destination in the purpose for/by/with the community.

The huge effect of community projects is directly on the local people. The approaching and understanding them is challenging. An achievable community project is that the real needs of the people are provided; they are aware of their roles and benefits; and finally, the values are retained and developed sustainably in long term. The community projects are characterised by the participation of many people in many different stages: analysis, design and implementation. Therefore, for the experts, volunteers and managers, they learn to listen to the voice of the local people and to avoid the forced thoughts and underestimation of local people’s involvement.

The value of the study is that the nature of participatory design method is shown through activities and results of the community project in Tam Thanh. The delivery from theoretical features to practical works is not easy and needs observation and understanding of local culture and life. Depending on each specific location, the application of this design theory is flexible and adaptive. An idea for every project is initiation; however, the participation of local people is key to the project’s achievement.

This study aims to investigate the relationships between loan growth, loan losses and net income after the 2008 global financial crisis. This study further conducts a comparative analysis by considering the period of COVID-19.

This study uses panel data models such as one-step system GMM, random effects, fixed effects and OLS, with a data set of 131 Chinese commercial banks from 2009 to 2020.

The study finds no significant relationship between loan growth and future loan losses. However, after adjusting loan loss by net interest income (NII-adjusted loan loss), the study reveals that loan growth in the subsequent year decreases if NII-adjusted loan loss increases. The study also demonstrates the positive effect of loan growth on net income as newly expanded loans are funded at similar costs but offered at a lower rate compared with existing loans. During COVID-19, loan growth and net income were higher than in previous years.

The findings suggest that Chinese banks can increase lending to support the economy without sacrificing loan quality, emphasizing the importance of maintaining and enhancing credit policies and practices. Chinese banks should also continue to refine their pricing strategies for loans and deposits. The findings also imply that China's policy responses to the impact of COVID-19 could serve as lessons for future policy decisions.

The paper aims to introduce a novel concept to solve the bi-level multi-criteria nonlinear fractional programming (BL-MCNFP) problems. Bi-level programming problem (BLPP) is rigorously flourished and studied by several researchers, which deals with decentralized decisions by comprising a sequence of two optimization problems, namely upper and lower-level problems. However, on the other hand, many real-world decision-making problems involve multiple objectives with fraction aspects, called fractional programming problems that reflect technical and economic performance.

This paper introduces a VIKOR (“VlseKriterijumska Optimizacija I Kompromisno Resenje”) approach to solve the BL-MCNFP problem. In this approach, an aggregating function based on L_P metrics is formulated on the basis of the “closeness” scheme from the “ideal” solution. The three steps perform the solution process: First, a new concept is attempted to minimize and maximize of the numerators and denominators from their respective ideal solutions and anti-ideal values simultaneously. Second, for each level, the K-dimensional objective space of each level is converted to a one-dimensional space by an aggregating function. Third, to obtain the final solution, all levels are combined into single-level model where the decision variables of upper levels are interrelated with other levels through fuzzy strategy-based linear and nonlinear membership functions.

The effectiveness of the proposed VIKOR is demonstrated by numerical examples, where the reported results affirm that the extended VIKOR method provides superior results in comparison with the same methods in the literature, and it is a good alternative to BL-MCNFP problems.

In terms of the assistance-based right decision, a parametric analysis for the weight of the majority is provided to exhibit a wide range of compromise solutions for the decision-maker.