Quezon City University (QCU), formerly known as Quezon City Polytechnic University (QCPU), is a city government-funded university in Quezon City, Philippines. It was established on March 1, 1994 as the Quezon City Polytechnic offering technical and vocational courses. It was renamed as Quezon City Polytechnic University when it was elevated into university status in 2001. By virtue of City Ordinance No. SP-2812, series of 2019, also known as the Quezon City University Charter of 2019, QCPU was rechristened as the Quezon City University to qualify as a beneficiary of Republic Act 10931, also known as the free tuition law. The University was given recognition and became a full-pledged university in 2021.
The operational readiness of military reserve forces underpins national security and disaster response, yet persistent skill mismatches and manual task assignment hinder effective mobilization. This study developed a Web-Based Skill Management and Task Recommender System for Military Reserve Force Mobilization that integrates reservist profiling, skill tagging, task creation, automated recommendation, and notification delivery through a hybrid pipeline composed of (i) a rule-based filter that enforces minimum qualification constraints and (ii) a weighted multi-criteria scoring layer that ranks qualified personnel by skillset match, availability, proximity, and rank suitability. The system was built using the Agile methodology, and synthetic data modeled on the structure of real reservist profiles were used throughout development and evaluation to address confidentiality and operational security concerns. The system was evaluated by 26 respondents (11 IT experts and 15 military officers) selected through purposive sampling, using a structured questionnaire derived from the ISO/IEC 25010 Software Quality Model. The system was rated Very Acceptable across all eight quality characteristics, with weighted means ranging from 3.73 to 3.91. The hybrid approach was designed as a decision-support tool that surfaces transparent, auditable recommendations to reduce potential skill-to-task mismatches, while final deployment authority remains with qualified military personnel.
This study focused on enhancing kindergarten students’ verbal expression through the use of interactive speaking strategies during classroom discussions. Specifically, it aimed to determine the effectiveness of interactive speaking strategies in improving students’ ability to express ideas, respond to questions, and participate actively in discussions. A quasi-experimental research design was employed involving kindergarten pupils from a selected public school. The study utilized interactive speaking strategies such as guided questioning, storytelling, role-playing, and peer interaction activities. Data were gathered through teacher-made observation checklists and oral language assessment tools. Results revealed a notable improvement in students’ verbal expression skills after the implementation of the strategies. The study concludes that interactive speaking strategies are effective in promoting oral language development among kindergarten learners and recommends the integration of these strategies into daily classroom discussions to support early language development.
In an era marked by environmental uncertainty, technological disruption, and increasing global interconnectedness, the role of higher education institutions in shaping responsible and transformative knowledge has become more critical than ever. Universities are no longer merely centers of knowledge production; they have evolved into key actors in addressing complex global challenges through research, innovation, and community engagement (Altbach & Knight, 2007; UNESCO, 2021). Within this context, the integration of sustainability, ethical governance, and international collaboration has emerged as an essential foundation for responsible global scholarship.
This study investigated the enhancement of impedance matching and resonance accuracy of a rectangular microstrip patch antenna operating at 2.4 GHz through systematic patch size tuning. The research was anchored on the transmission line model for initial antenna dimensioning, followed by parametric optimization using CST Microwave Studio Suite to refine patch width and length for improved performance. A simulation-based quantitative design approach was employed, using FR-4 substrate with a dielectric constant of 4.3 and thickness of 1.6 mm. The antenna geometry was analyzed under controlled variations of patch dimensions while maintaining constant feed and substrate parameters to isolate performance effects. Results show that the optimized antenna achieved a return loss of –18.06 dB, VSWR of 1.28, bandwidth of 85 MHz, and realized gain of 2.688 dBi at 2.4 GHz. These outcomes indicate strong impedance matching, stable resonance behavior, and acceptable radiation efficiency for wireless communication applications. The study confirms that patch width and length variations significantly influence resonance accuracy and overall antenna performance, particularly in correcting frequency shifts commonly observed in non-optimized transmission line designs. The findings highlight that precise dimensional tuning of the patch is essential for achieving reliable antenna performance in FR-4-based designs intended for Wi-Fi and IoT applications. The study concludes that parametric optimization is an effective and low-cost approach for improving microstrip antenna performance without requiring complex structural modifications. In relation to sustainability, the study supports SDG 9 (Industry, Innovation and Infrastructure) by contributing to the development of optimized and cost-efficient wireless communication components. It also aligns with SDG 11 (Sustainable Cities and Communities) through its relevance to IoT-enabled smart systems and connected environments. The sustainability impact is primarily technological and socio-economic, promoting efficient design practices that enhance wireless connectivity while reducing material and development costs.
This study designed and developed a hybrid piezoelectric–electromagnetic seesaw energy harvesting system that converts mechanical energy from footfall pressure and seesaw oscillation into usable electrical energy. The study was anchored on the principles of piezoelectricity and electromagnetic induction, integrating piezoelectric transducers, a DC generator, rectification, energy storage, and voltage boosting in one prototype. A developmental and experimental research design was used. The main research instrument was the hybrid seesaw prototype, which was tested under predetermined load conditions of 40 kg, 50 kg, 60 kg, and 70 kg to represent varying user weights. Data were gathered by measuring voltage and current outputs from the piezoelectric footfall system and DC generator during one-minute trials. Results showed that piezoelectric voltage generally increased as applied load increased, with average outputs ranging from 6.65 V at 40 kg to 15.59 V at 70 kg, while current remained relatively stable. The DC generator also produced usable output from seesaw motion, and the overall prototype achieved an average voltage of 14.4 V and a maximum current of 16.65 mA. The study concluded that the hybrid seesaw system is feasible as a micro-scale energy harvesting device for low-power applications, although its output remains limited and dependent on user weight and frequency of use. The study supports SDG 7, SDG 9, SDG 11, SDG 12, and SDG 4 by promoting clean energy, innovation, sustainable communities, responsible energy use, and applied renewable energy learning. Its sustainability impact lies in technological, environmental, educational, and community-based energy innovation.
