Fiber-reinforced polymer (FRP) is an innovative material in the construction industry. It is beneficial because of its toughness, and unlike steel, it is not prone to corrosion. Some research studies focus its behavior as a reinforcement in concrete while deriving several equations pertaining to its shear strength capacity. This study used the artificial neural network modeling technique to derive a more accurate solution to predict concrete shear capacity with FRP as reinforcement. Experimental data from previous studies were collected and used to train the model. The parameters considered were compressive strength of concrete, FRP ratio, beam dimensions, and modulus of elasticity. As a result, the model consistently provides a better prediction of the shear capacity of concrete against existing models like ACI 440.1R-03, ACI 440.1R-06, and El-Sayed. Furthermore, the ANN model showed no sign of disarray in predicting every parameter compared to other existing models. According to ACI 440.1R-06, FRP bars largely affect the total shear capacity of concrete. In the model provided by ACI, FRP reinforcement’s axial stiffness accounts linearly to the shear strength capacity of concrete. Since then, the predicted capacity in accordance with the ACI was excessively conservative. With respect to the derived model, axial stiffness offered a variation in the shear capacity. The proposed ANN model can be utilized for the design since the minimum ratio between the actual test result yields to 0.77 which is greater than the strength reduction factor of 0.75. Parametric studies were also conducted to show the effect of the modulus of elasticity of FRP, FRP ratio, and beam dimensions on the shear capacity.

Due to the hardships brought about by the pandemic, Filipino farmers resort to creative ways of drying fruits. Since there is limited movement during the pandemic brought about by restrictions, farmers have no choice but to employ fruit drying on the roof of their houses to preserve the food. Currently, this is done at the mercy of the elements. However, modern fruit-drying requires monitoring of temperature and humidity so that proper measures can be taken when it is about to rain. Otherwise, rain can cause food spoilage which would cause farmer’s wastage of already scarce resources. The crop chosen for this study was Spondias sp. However, a minor adjustment can also be applied to other fruits, vegetables, and even meat. Once the drying process is complete, the farmer will receive a notification so that the dried product may be processed for packing and selling. Results indicate that the prototype can meet the specifications and that farmers found it helpful. For future works, it is recommended that solar panels be used to utilize the power from the sun. It is also recommended that direct current be used in future project modifications to minimize errors during a power outage.

Electricity, since its introduction, has been vital to inventions and development to the improvement of the quality of life of people. However, mishandled and/or unattended electrical connections and devices may cause hazardous events. The study is for the development of a smart IoT device to monitor the power and management system. The accompanying mobile application can be used to read and monitor the parameters in the smart outlet in real-time and be used to turn on or off the device remotely as long as internet connectivity is available in the smart outlet and the mobile device with the mobile application. This study aims to incorporate the advancement of automation and real-time monitoring of electrical outlets, providing additional safety measures for appliances and other machines.

Despite originating in the tech industry, hackathons have now been adopted in a variety of domains. However, little is known about the status of hackathon literature within educational research. As the number of studies grows, it is essential to develop an understanding of the current state and identify prevalent topics and trends shaping the literature. Toward this goal, this study conducted a bibliometric analysis and scoping review on hackathon research in the field of education. A total of 249 documents written by 1,309 authors and published in 180 unique sources for the period 2014–2022 were identified. Collectively, the dataset amassed 1,312 citations with an average of 6.69 citations per document. The most prevalent subject areas were computer science, social sciences, engineering, medicine, and business. Word frequency analysis showed that “innovation” was the most occurring word, which represents the fundamental objective of hackathon events. The most influential work was the analysis of hackathons as an informal learning platform. Engineering education was the most trending topic while healthcare is an emerging research cluster. Overall, this study provides a better understanding of the hackathon literature and its research landscape in an educational setting.

The transition to a Circular Economy (CE) depends on several factors, such as the implementation of circular business models. Although circular business models were developed, there are socio-cultural distinctions that need to be considered. One such distinction is the sachet culture of the Philippines. The country's consumers use single-use sachets for daily needs, including body care and hygiene. As the local sachet culture lead to significant waste emission to the ocean, designing circular business model for switching to a circular product (e.g., refillable shampoo bottle) is a key measure towards sustainable societies. The design of this business model, however, will need to consider consumer preference. In this sense, modeling consumer preference provides insights on how enterprises can design consumer-centric circular business models. The present study modeled consumer preference between single-use plastic shampoo sachet and refillable shampoo bottles through binary logistic regression, considering responses from 457 consumers of Metro Manila, Philippines. The independent variables used were the socioeconomic and demographic characteristics, product channel, and usage. The dependent variable was consumer preference between using sachet or refillable bottles shampoo. The model indicated a good fit with a McFadden R2 of 0.255. The model identified age, gender, education, environmental awareness, budget, daily use, and retailer as statistically significant independent variables. The variable 'environmental awareness' attained the highest significance for socioeconomic and demographic characteristics. Meanwhile, the variable 'retailer' attained the highest significance for product channel and usage. The two variables had the highest influence on consumer preference. This study recommends enterprises to focus on utilizing malls as the product channel and on ecolabelling of products. Future research works may use the model in integrating consumer preference on circular economy scenarios. Enterprises may also use the model in designing circular business models suitable for the target market.

Empirical evidence has demonstrated the benefits of physical activity in preventing chronic diseases and premature death. Unfortunately, there is a global trend of insufficient physical activity, which was aggravated by the recent global pandemic. Although physical education is often used to promote physical activity, the transition to online education made it difficult to teach fitness and exercise from a distance due to several limiting factors. This chapter aims to respond to these challenges by implementing a school-based public health intervention using a computer-assisted instruction (CAI) tool called VD-CAI. Through an experimental approach, it was found that VD-CAI as an instructional technology shows a performance advantage compared to other pedagogies. Specifically, students who used VD-CAI in their physical education courses received higher scores and exhibited a more positive attitude. This chapter contributes to the growing scientific evidence of the effectiveness of school-based health education programs as well as the expanding literature on CAI and physical education.

The book Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines provides comprehensive coverage of innovative methods and strategies to produce the next generation of health professionals. It lays the groundwork for implementable teaching and learning models that facilitate knowledge acquisition, enhance perceptual variation, improve skill coordination, and develop a scientific and technological mindset. It is designed to provide an in-depth look at the latest advancements and best practices in the field, with a specific emphasis on improving student learning outcomes and professional development. Each chapter provides an in-depth examination of instructional technologies, including artificial intelligence (AI), machine learning, gamification, telemedicine, chatbots, virtual and augmented realities, bioprinting, computer-assisted instruction (CAI), mobile health, smart learning environments, intelligent tutoring systems (ITS), and more. In addition, these chapters illustrate how these educational technologies can be effectively developed and implemented in real-world settings that are contextualized in various medical and health domains, including nursing, physiotherapy, radiology, neurophysiology, physical health, dentistry, clinical medicine, and more.

Children often make unhealthy food choices because they lack nutrition knowledge. This chapter consequently assessed the potential employment of a nutrition intelligent tutoring system (NutritionITS) for teaching and learning basic nutrition concepts in primary education. Following the K-12 Health Curriculum Guide by the Department of Education, NutritionITS incorporated the first quarter content in the grade 1 level. Using an exploratory sequential mixed methods design, it was evaluated by teachers and parents. The qualitative phase served as the participatory design process that extracted the features needed by teachers. On the other hand, the quantitative phase served as the prototype evaluation using the technology acceptance model constructs. The results presented in this chapter may assist educational leaders, teachers, parents, and students in achieving a better learning outcome in nutrition education. In addition to its contribution to the literature of educational research, this is the first study to develop an intelligent tutoring system in the field of nutrition science.

Instructional technologies used to be optional and supplemental pedagogical tools until the global health crisis of 2020 compelled education systems to rely on digital devices and services to guarantee academic continuity. Suddenly, the contemporary principles and practices utilized in delivering health education curricula were insufficient and ineffective. Acknowledging the vital role of technology in shaping the future of education, there is now a greater demand to foster innovative interventions and continuous improvement in strategies, methodologies, and systems to empower learners, educators, and leaders in the digital age. This paradigm shift requires a fundamental transformation in the way we approach teaching and learning, and a willingness to embrace new approaches and tools that can enhance the quality of education and support student success. The Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines provides comprehensive coverage of innovative methods and strategies to produce the next generation of health professionals. The book lays the groundwork for implementable teaching and learning models that facilitate knowledge acquisition, enhance perceptual variation, improve skill coordination, and develop a scientific and technological mindset. Each chapter provides an in-depth examination of instructional technologies contextualized in various medical and health domains, including nursing, physiotherapy, radiology, neurophysiology, physical health, dentistry, clinical medicine, and more. This reference work is a must-read for all stakeholders in health education and related fields, including educators, students, researchers, administrators, and healthcare professionals.

An attachable exoskeleton in backpacks for postural correction by using pressure sensors has been designed and implemented. The system determines the changes in body posture and the selsyn control for the proper posture of shoulder and spine correction. The design of the prototype is based on an exoskeleton which is a backpack, having straps with a selsyn motor, pressure sensors, and portable battery or power bank. The system's functionality and reliability were tested by recording the slouching angle of five test subjects. The study also aims to monitor the improvement of posture in the duration of 2 weeks upon the usage of the system. Pre-test and post-test of posture were evaluated by the physical therapist for improvement in posture and showed a significant reduction of the number of slouches per day for the five test subjects. The four test subjects failed to reach more than 40% reduction of number of slouches, but one subject attained 39.4% reduction. The system is an active device in reminding the subjects to maintain proper posture while most of the posture correctors available in the market are passive. The prototype was able to accomplish what it was designed and created for, which is to reduce the number of slouches for the improvement of the user's posture.