Existence of hybrid electric vehicles nowadays is one of the emerging technologies worldwide. Different countries are using this technology on their transportation, and nowadays, a lot of other countries are gradually adapting on using this kind of innovation in their transport system. Philippines is among these countries which aims to have a sustainable mobility by embracing the use of hybrid - electric vehicles but still lots of consumers are lacking awareness on this technology. Lack of information on the social, environmental, and economic potential benefits are among the main issues of Philippines consumers that really affect its uptake. The goal of this study was to evaluate the consumer’s perception and purchase intention on the transition of hybrid - electric vehicles for sustainable mobility and transportation here in the Philippines. It aimed to assess consumer awareness with hybrid - electric vehicles and its potential benefits to human beings in terms of social, environmental, and economic aspects. The study also gauged the impact of this perception on consumer’s purchase intention on hybrid - electric vehicles. These objectives were attained using the Descriptive Statistics and Correlation Analysis. Using these methods, the results revealed that majority of the consumers believed on the positive benefits of transitioning to hybrid - electric vehicles in terms of social, environmental, and economic aspects. This study also showed that these benefits have high impact on the consumer’s intention of buying or having a hybrid – electric vehicle. Electric vehicle is one of the most effective measure of decarbonizing the transport system. Furthermore, government and automotive businesses must strengthen their drive in spreading awareness of hybrid – electric vehicle’s benefits to consumers to further support country’s effort for development.

Mid-sized Philippine cities commonly rely on fixed-time traffic signal plans that cannot respond to short-term, demand-driven surges, resulting in measurable idle time at stop lines, increased delay, and unnecessary emissions, while adaptive signal control has demonstrated performance benefits, many existing solutions depend on centralized infrastructure and high-bandwidth connectivity, limiting their applicability for resource-constrained local government units (LGUs). This study reports a field deployment of TrafficEZ, a lightweight edge AI signal controller that reallocates green splits locally using traffic-density approximations derived from cabinet-mounted cameras. The controller follows a macroscopic, cycle-level control abstraction consistent with Transportation System Models (TSMs) and does not rely on stationary flow–density–speed (fundamental diagram) assumptions. The system estimates queued demand and discharge efficiency on-device and updates green time each cycle without altering cycle length, intergreen intervals, or pedestrian safety timings. A quasi-experimental pre–post evaluation was conducted at three signalized intersections in El Salvador City using an existing 125 s, three-phase fixed-time plan as the baseline. Observed field results show average per-vehicle delay reductions of 18–32%, with reclaimed effective green translating into approximately 50–200 additional vehicles per hour served at the busiest approaches. Box-occupancy durations shortened, indicating reduced spillback risk, while conservative idle-time estimates imply corresponding CO₂ savings during peak periods. Because all decisions run locally within the signal cabinet, operation remained robust during backhaul interruptions and supported incremental, intersection-by-intersection deployment; per-cycle actions were logged to support auditability and governance reporting. These findings demonstrate that density-driven edge AI can deliver practical mobility, reliability, and sustainability gains for LGUs while supporting evidence-based governance and performance reporting.

This study assesses the six (6) phases of the three-year implementation of the Supervisory Control and Data Acquisition (SCADA) project for twenty-seven (27) su This study assesses the six (6) phases of the three-year implementation of the Supervisory Control and Data Acquisition (SCADA) project for twenty-seven (27) su

A porous carbon electrode for capacitive deionization was prepared by a simple screen printing technique. Polymeric binder suspension was utilized to form a solid activated carbon-based electrode. The prepared carbon electrode electrochemical property and specific capacitance were analyzed using a three-electrode cyclic voltammetry system. The specific capacitance of the developed electrode was almost identical even at various set scan rate and NaCl solution concentration, an indication of the electrode having constant ion adsorption capacity. Thus validated the experimental results, which clearly showed that the ion adsorption capacity of the fabricated electrode presents slight difference at different NaCl solution concentrations, wherein the highest ion adsorption capacity of 6.2 mg/g was achieved in 818 mg/L NaCl solution initial concentration.

The Pandemic has brought about resiliency of students and their teachers. This paper aimed to learn the capability of undergraduate students to perform research during pandemic with a fully online setting and do peer review of other student’s work. Each student was assigned an individual topic to work on for three months. The students were told to perform experiments using easily bought materials. Out of the 41 students, 7 perform the actual experiments. This indicates majority of the students lack motivation to perform experiments through online setting. Nevertheless, they were more akin to writing review papers. Moreover, peer evaluation showed excellent rating to about 80%.