Understanding people’s thinking and actions through exploring their word choice in written discourse can provide an objective analysis of their behavioural patterns in responding to life adversities. This study utilising quantitative and qualitative approaches is an attempt to investigate the coping mechanisms as response to the challenges of pursuing a bachelor’s degree of teacher education...
Category: Research
Investigating construction delays in cold storage projects in the Philippines
Construction delays pose significant challenges affecting project timelines, budgets, and quality standards globally. This study focuses on bridging the knowledge between differences of construction between cold storage facility projects among other types of projects and identifying influential factors causing delays in cold storage construction projects in the Philippines. Through a questionnaire survey including 30 critical...
Synchronous End-to-End Vehicle Pedestrian Detection Algorithm Based on Improved YOLOv8 in Complex Scenarios
In modern urban traffic, vehicles and pedestrians are fundamental elements in the study of traffic dynamics. Vehicle and pedestrian detection have significant practical value in fields like autonomous driving, traffic management, and public security. However, traditional detection methods struggle in complex environments due to challenges such as varying scales, target occlusion, and high computational costs,...
Impact Assessment of Mulat Sa Aklat Reading Program for Sustainability and Continuous Quality Improvement
This research rigorously assessed and evaluated the MULAT SA AKLAT Reading Program, focusing on its impact, effectiveness, sustainability, and potential for continuous quality improvement. Objectives encompass analyzing participant demographics, baseline knowledge, session-wise progress, participant evaluations, and the adaptability of educational approaches. The program fosters inclusive participation, unveiling varied baseline knowledge and expectations. Positive trajectories in...
Developing an LTE Learning Material: Experiences from a University in a Developing Country
Remote learning has increased, especially in engineering courses that require digital platforms, due to the COVID-19 pandemic. However, the current curriculum doesn’t emphasize telecommunications, making LTE principles difficult for students to understand. To address this issue, researchers developed a 4G LTE learning system using MATLAB LTE Toolbox. MATLAB’s Live Scripts, Scripts, and App Designer implement...
Self-concept and social mobility of female faculty in higher education institution
Self-concept is one of the keys in a person’s social mobility. It will help him either to succeed or fail. This study determined the self-concept and the social mobility of the female faculty at Batangas State University JPLPC-Malvar, Philippines. Respectively, it dealt with the following: the respondents’ profile in terms of status of employment, department...
Haar-CNN Cascade for Facial Expression Recognition
Recognizing emotions can aid in the interpretation and communication of non-verbal communication. Although deep neural networks perform well in automatically extracting and learning high-level representations of facial features from large amounts of multidimensional data, there is still a need for a face detection model to work fast for real-time applications. This working experiment investigates the...
Comparative analysis in the prediction of early-stage diabetes using multiple machine learning techniques
Diabetes is caused by high levels from blood glucose and it is characterized as a chronic disease, and also will disrupt fat and protein absorption. The levels rise from blood glucose because it cannot be burned in the cells from the pancreas because of the deficiency of insulin secretion or the insulin produce by the...
Renal Cyst Detection in Abdominal MRI Images using Deep Learning Segmentation
Renal cysts are categorized as simple cysts and complex cysts. Simple cysts are harmless and complicated cysts are cancerous and leading to a dangerous situation. The study aims to implement a deep learning-based segmentation that uses the Renal images to segment the cyst, detecting the size of the cyst and assessing the state of cyst...
A 210-MHz 4.23 fJ Energy/Bit 1-kb Asymmetrical Schmitt-Trigger-Based SRAM Using 40-nm CMOS Process
This brief introduces a 1-kb SRAM design that operates at low power utilizing asymmetrical Schmitt-trigger based SRAM cells. By adopting an asymmetrical design, the SRAM cell performance in terms of hold, access, and write capabilities were enhanced. A power reduction and speed compensation circuit is presented in the design. The SRAM is implemented and fabricated...