INTI International University

Chemical, mineralogical, and optical characterization of a Nepheline-Combeite bioceramic based on coal gangue and limestone dust

Nepheline (NaAlSiO₄) and Combeite (Na₂Ca₂Si₃O₉) are silicates belonging to the alkaline silicate ceramic family, recognized for their remarkable structural and functional properties. The development of composites integrating these both phases makes it possible to combine the stru...

A bibliometric and thematic review of trust in algorithmic sport business research on artificial intelligence, synthetic media and platformized sport from 2010 to 2025

As sport business becomes increasingly platformized, trust is no longer a background condition but a managerial resource shaped by algorithms, synthetic media, and datafied fan relationships. This bibliometric and thematic review mapped 1,206 Scopus-indexed documents published fr...

Development and characterization of a PVA/ZnO/curcumin/andrographis paniculata extract nanofibrous membrane for wound healing applications

Nanofibrous membranes are emerging as promising wound dressing materials due to their extracellular matrix-mimicking architecture. However, pristine nanofibers are insufficient to address the demanding requirements of chronic wounds. Thus, the development of multi-component nanof...

A review of digital addiction as a predictor in ML-based academic performance prediction

The rapid growth of digital technologies has raised growing concerns about digital addiction and its potential impact on academic performance of students. Although machine learning (ML) techniques are widely employed to predict academic outcomes, the systematic integration of dig...

Emerging materials and technologies for next-generation sensors in smart IoT systems: a comprehensive review

As the Internet of Things (IoT) continues to advance at an unprecedented rate, there is a growing need for intelligent, adaptable, low-power and sustainable sensing platforms that can operate autonomously over long periods. This paper examines the technological advances in IoT se...

Digital creative self-efficacy as a mediator: Linking entrepreneurial education with entrepreneurial intention and self-creativity in Malaysia and Indonesia's digital economy

This paper introduces and empirically investigates a conceptual model examining the effect of entrepreneurial education on entrepreneurial intention and self-creativity through digital creative self-efficacy (DCSE) as a mediating mechanism. Integrating Social Cognitive Theory (SC...

Experimental and numerical investigation of voltage-dependent active vibration control on a notch-cracked composite mono leaf spring

This paper presents combined experimental and numerical research on the application of an Active Vibration Control System (AVCS) to a cracked glass-fibre-reinforced polymer (GFRP) composite mono leaf spring for automotive suspension systems, an application that, to the authors’ k...

Triple band Yagi antenna design and performance prediction for next generation (6G) wireless applications using supervised regression models

This study presents a high-performance Yagi antenna designed for sub-terahertz (sub-THz) and terahertz (THz) wireless communication applications, addressing the growing demands of emerging technologies such as high-resolution imaging, short-range secure communication, sensing, sp...

Mapping taxonomic knowledge and barcoding progress: An integrative review of marine fish species described from Malaysian waters

Abstract This study presents the first systematic review of 118 nominal species of marine fish formally described from Malaysian waters between 1830 and 2025, spanning 22 orders and 53 families. Distinct temporal phases in taxonomic activity were identified: the pre-2000 era domi...

Environmental management systems (EMS) and sustainability performance in higher education institutions: a capability-based conceptual model

Purpose This paper aims to develop a theoretically grounded model explaining how environmental management systems (EMS) contribute to sustainability performance in higher education institutions. Drawing on the natural resource–based view, this study seeks to explain the organizat...

Developing blockchain utilization capability in blockchain platforms: Indonesia's dynamic infrastructure and organizational factors

This investigation develops and validates Blockchain Utilization Capability as a novel construct fundamentally reconceptualizing complex enterprise technology adoption by addressing critical limitations in conventional frameworks assuming direct antecedent-intention relationships...

Optimization and Validation of a Multitrait Physiological Drought Mitigation Index (PDMI) for Screening PGPR-Induced Drought Tolerance in Strawberry

Drought mitigation by plant growth-promoting rhizobacteria (PGPR) is commonly assessed using individual physiological traits, although plant responses to water deficit are intrinsically multivariate. We developed a Multitrait Physiological Drought Mitigation Index (PDMI) to summa...

Application of artificial neural networks for prediction modeling and analysis of the thermophysical properties of Fe₃O₄/water ferrofluid using experimental measurement

Abstract The use of nanofluids has attracted significant attention due to their improved thermal performance compared with conventional heat transfer fluids. Because nanoparticles are on the nanometer scale, problems such as channel blockage and severe abrasion can be reduced. Am...

Green Versus Brown Assets Under Stress: Who Hedges Energy and Market Risk?

Sustainable finance increasingly treats green assets as instruments for climate-risk hedging; however, it remains unclear whether they protect investors during energy-market shocks and financial-market stress or merely transmit different transition, equity-market, and growth risk...

A student-led living laboratory as work-integrated learning: an action research study of professional identity development in Malaysian higher education

Purpose Higher education faces a growing imperative to develop graduates who possess not only academic expertise but also the resilience and practical readiness demanded by today’s complex professional landscapes. While work-integrated learning (WIL) is commonly advocated to brid...

Quad port MIMO antenna design for WLAN and N78 application using regression machine learning validation

This paper presents the design and analysis of a compact four-port MIMO antenna intended for 5G communication systems, specifically targeting the n78 band (3.5 GHz) and the WLAN band (5.25 GHz). The proposed antenna has dimensions of 88.2 mm × 88.2 mm (1.03λ 0 × 1.03λ 0 ). It ach...

Decoding organic food choices: exploring brand identification, credibility, ambiguity tolerance in shaping consumer attitudes and intentions using SEM and fsQCA

Purpose This study examines the influence of consumers' brand image identification, credibility towards organic food brands and ambiguity tolerance on the attitude-intention link, grounded in the stimulus-organism-response (S-O-R) framework. It also explores the mediating role of...

Heat transfer and entropy analysis of shaped nanoparticles in stratified binary nanofluid flow over an exponentially curved Riga surface

The problem of controlling heat transmission and flow efficiency in advanced engineering systems, such as aerospace thermal management and next-generation cooling devices, is critically hampered by energy losses due to friction and thermal irreversibility. This study addresses th...

Occupational strain and post-retirement rehabilitation among older factory workers

Background Long-term factory work involves repetitive, physically demanding tasks that contribute to musculoskeletal degeneration in later life, particularly affecting the knee and cervical spine among ageing workers. Qualitative evidence on how retired industrial workers perceiv...

A hybrid machine learning framework using fractional order dynamics to predict fish toxicity in aquatic ecosystems

Accurate prediction of chemical toxicity to aquatic organisms remains a critical challenge in environmental risk assessment. Traditional machine-learning (ML) models capture static correlations but cannot represent time-dependent, memory-driven processes such as bioaccumulation a...