Duy Tan University

Novel ultra-compact 868 MHz/5GHz lowpass–bandpass diplexer for IoT

In this paper, we present a novel lowpass–bandpass diplexer designed to operate at frequencies of 868 MHz and 5 GHz. This diplexer is designed to overcome the limitations identified in previous studies. Notably, it achieves a maximum group delay of – 0.77 ns in the second passban...

The impact of personality traits on entrepreneurial intentions: the roles of risk-taking propensity, perceived entrepreneurial desirability, and work experience

Abstract Although personality traits (the Big Five and Dark Triad), perceived entrepreneurial desirability, and risk-taking propensity are central to understanding entrepreneurship, more theoretical and empirical evidence is needed to explain the mechanisms that stimulate entrepr...

Enteropathogen-specific pathways linking moderate-to-severe diarrhea to linear growth faltering in sub-Saharan African children: a decomposition analysis of the GEMS study

BACKGROUND: Associations exist between moderate-to-severe diarrhea (MSD) and growth faltering in children; however, the underlying mechanisms are not well-understood. We evaluated the extent to which seven enteropathogens explain the association between MSD and linear growth falt...

A short form of the cybersecurity resilience scale (CSRS-20): development and initial cross-cultural validation

Purpose This study conducted a psychometric evaluation of a 20-item short form of the Cybersecurity Resilience Scale (CSRS-20), designed to reduce respondent burden while retaining the core conceptual coverage. The short form focuses on individual-level cybersecurity resilience (...

Servant Leadership and Organisational Commitment Among Hotel Employees: Comparing the Roles of Job Satisfaction and Organisational Citizenship Behaviour

Servant leadership (SL) is associated with favourable employee outcomes in hospitality, but it remains unclear whether its relationship with organisational commitment (OCM) is reflected more strongly in employees’ job evaluations or in their discretionary contributions. This cros...

An Intelligent Deep Reinforcement Learning Framework for Cost-Efficient and Energy-Aware Cloud Resource Management

The rapid growth of cloud computing and Internet of Things (IoT) applications has intensified the need for efficient resource allocation, energy management, and cost optimization in large-scale data centers. Traditional optimization and machine learning approaches, while effectiv...

Electricity-Driven Halogenation of α -Oxo Ketene Dithioacetals Using Lithium Halides as Dual-Function Electrolyte Reagents

Abstract Halogenation reactions are indispensable transformations in organic synthesis. However, they typically rely on toxic reagents or harsh conditions. Herein, we report an electrochemical method for the bromination and chlorination of α-oxo ketene dithioacetals using simple...

Determinants of corporate social responsibility disclosure and green tourism practices in tourism enterprises in Vietnam

Abstract This study examines the factors associated with corporate social responsibility (CSR) disclosure and green tourism practices among tourism enterprises in Vietnam. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study analyzes survey data collected...

Artificial intelligence-Enabled Lightweight Flood Segmentation Model with Polarization Fusion and Attention

Rapid and reliable flood maps are essential for emergency response and disaster management. However, many deep learning models for flood segmentation are computationally demanding, limiting real-time use and deployment on modest hardware. This paper presents PFALNet, a reduced-pa...

Analysis of metaheuristic‑optimized ann for predicting surface strip footing bearing capacity in layered cohesionless soils using limit equilibrium analysis

Accurate prediction of shallow-foundation bearing capacity in layered cohesionless soils remains challenging because footing geometry and the strength contrast between soil layers interact nonlinearly. This study developed and compared four hybrid multilayer perceptron models opt...

A novel optimization of API release using hybrid models

Abstract Polysaccharide-based drug delivery systems have to be closely watched in terms of drug release in the body over time if they want to be able to achieve maximum therapeutic effectiveness and maintain controlled bioavailability. The work presents a data-driven framework th...