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Research Article
Study on the Effect of Cryogenic Pretreatment-Based Abrasive Water Jet Surface Modification on the Surface Integrity of 7075 Aluminum Alloy
This study investigates the influence of a deep cryogenic treatment-abrasive water jet (DCT-AWJ) composite surface modification process on the surface integrity of 7075 aluminum alloy, with single abrasive water jet (AWJ) treatment as the control. Surface morphology, phase composition, residual stre...
Review Article
Evaluation Metrics in Digital Image Processing: A Task-Oriented Review and Practical Selection Framework
The rapid development of digital image processing and machine learning has increased the need for reliable and task-appropriate evaluation methods. However, the wide range of available metrics, each with different assumptions, strengths, and limitations, makes metric selection challenging across div...
Research Article
Skin Cancer Detection Using Data Fusion and Deep Transfer Learning Techniques
Skin cancer remains a major healthcare challenge. Early detection is important because it increases the chances of successful treatment. Deep learning has become an effective approach for automated skin lesion classification. However, many existing studies rely on a single dataset, which limits the...
Research Article
Nonlinear Dynamics of Green Innovation, Environmental Regulation, and Corporate Carbon Abatement
Corporate carbon abatement is commonly modeled as a direct and continuous response to environmental regulation or green innovation. Such representations cannot fully explain persistent differences among firms facing similar policy conditions or distinguish the pressure required to initiate a low-car...
Research Article
Dielectric, Polarization, and Energy-Storage Response of Solution-Cast PVDF/Ba$_{0.8}$Ca$_{0.2}$(Zr$_{0.1}$Ti$_{0.9}$)O$_{3}$ Composite Films
Poly(vinylidene fluoride) (PVDF) composite films filled with lead-free Ba0.8Ca0.2(Zr0.1Ti0.9)O₃ (BCZT) were prepared by solution casting, using ceramic powder made by solid-state reaction. From the weighed masses, the dry films contain 9–50 wt.% BCZT. X-ray diffraction shows semi-crystalline PVDF to...
Research Article
Mathematical Formulation and Computational Implementation of a Fisher-KPP Model for Glioblastoma Invasion under Fractionated Radiotherapy
Glioblastoma (GBM) is a highly infiltrative primary brain tumor, and reaction-diffusion models are widely used to describe how its cells spread and proliferate. We derive the classical Fisher-KPP equation from mass conservation, Fickian diffusion, and logistic growth, and extend it to fractionated r...
Research Article
Artificial Neural Network-Based Modeling of Transient Bio-Convective Williamson Tri-Hybrid Nanofluid Flow with Gyrotactic Microorganisms over a Stretching Sheet
In this paper, we study the unsteady magnetohydrodynamic (MHD) flow and the heat and mass transfer of a Williamson tri-hybrid nanofluid (THNF) composed of water and Al$_2$O$_3$, TiO$_2$ and Cu nanoparticles over a stretching sheet. The model incorporates thermal radiation, activation energy, chemica...
Research Article
Neuro-Predictive Modelling and Thermo-Energetic Optimization of Convective Drying Kinetics and Mass Transfer Dynamics in Black Bean (Akidi) Seeds
Convective drying extends the storage life of legume seeds, but its nonlinear kinetics and energy demand are difficult to predict with conventional models. This study developed and validated an artificial neural network (ANN) to predict the drying kinetics, drying time and energy consumption of blac...
Research Article
Hospital Pharmacists' Perspectives on Clinical Decision Support Systems: Perceived Usefulness, Barriers, and Willingness to Adopt in Non-Implementing Hospitals in Rizal Province, Philippines
Clinical decision support systems (CDSS) can improve medication safety, yet implementation remains limited in some Philippine hospitals. This study examined hospital pharmacists' perceived usefulness of CDSS, willingness to adopt, trust requirements, and anticipated barriers in non-implementing hosp...
Research Article
A Multimodal Ensemble Learning Framework for Early Detection of Adolescent Depression Using Multi-Source Real-World Data
Depression and academic stress undermine students' attendance, performance, and retention, yet educational institutions lack reliable early-alert tools. Because about three-quarters of lifetime psychiatric conditions emerge before age 25, timely automated screening is critical for early intervention...