Category: Research

Additive manufacturing (AM) demands materials that combine precise printability with reliable thermal and mechanical performance. Polyglycerol (PG)-based macromolecular systems offer exceptional tunability through controlled architecture and chemical modification, enabling their use across both light-based and extrusion AM platforms. Strategic enhancements such as chemical functionalization, network formation, and hybrid reinforcement have expanded their capabilities from biomedical...

This paper investigates the filling process of an injection mold for the lower shell plastic part of a mouse. By analyzing the usage requirements of this plastic part and the structural characteristics of the mouse shell, the material for this part is determined to be ABS. Using the basic process parameters for this material as...

Convolutional Neural Networks (CNNs) have performed exemplarily well with image recognition tasks, but their efficiency in image recognition drops tremendously in the event of complex noise. The conventional way to normalize has not done sufficient work in tackling the various noise interference. In order to address this problem, this paper would introduce a CNN robustness...

Teaching internship plays a crucial role in providing aspiring educators with invaluable real-world classroom exposure, translating theoretical knowledge into practical teaching skills. Hence, this qualitative research study aims to explore the teaching internship experience using metaphors among thirty (30) prospective teachers in one state university in the Philippines, framed within the context of the new...

Despite growing interest in both fields, research into how positive psychology principles and gamification can be integrated in Computer-Assisted Language Learning (CALL) environments and their impact on language learning outcomes remains insufficiently explored. Thus, this study intends to contribute by implementing a 10-week gamified learning program using the Quizizz application within CALL classrooms at a university in...

Efficient optimization of polymeric materials in fused filament fabrication 3D printing (FFF 3DP) is crucial for productivity, cost reduction, resource conservation, consistency, and enhanced part performance. This study employed a multiresponse central composite design of experiments (CCD-DOE) with the desirability function algorithm (DFA) to optimize printing settings on polylactic acid (PLA) using a commercial FFF...

In this study, silica (Si) nanoparticles derived from rice husk ash is coated with cetyltrimethylammonium bromide (CTAB), a cationic surfactant, and used as adsorbent of nitrate ion in wastewater. CTAB functionalized Si (CTAB-Si) nanoparticles were characterized using scanning electron microscope (SEM), energy dispersive X-Ray (EDX), dynamic light scattering (DLS) Fourier transform infrared spectroscopy (FTIR) and...

This research delved into the symbiotic connection between 5G technology and the Internet of Things (IoT), aiming to explore how the integration of these two cutting-edge technologies could revolutionize various industries. The primary purpose was to assess the impact of 5G on the functionality and efficiency of IoT applications, with a focus on improved connectivity,...

This study integrates the Newton-Raphson method within the PHP framework to offer an easy-to-use loan management solution for Micro, Small, and Medium Enterprises (MSMEs) in the Philippines. MSMEs, which are essential to the country’s economy, frequently face financial difficulties such as a lack of specialized instruments and restricted access to loans. This research led to...

Fish feeding in aquaponics presents challenges in accurately estimating and distributing feed, risking the health of both fish and plants due to potential water contamination. To address these issues, our study employs computer vision and deep learning to automate feed dispensing in aquaponics farms, ensuring precise feed quantities. We utilize the Mask R-CNN algorithm to...