Diabetes mellitus is a disease incorporated with carbohydrate metabolism whereas the body becomes unable to generate or react with insulin which leads to abnormal levels of blood sugar (glucose). In a worldwide perspective, Diabetes mellitus is ranked as the 9th leading cause of death based on the records of the World Health Organization and according to the International Diabetes Federation, there are about 463 million diabetic people worldwide in 2019 which is projected to increase to 700 million diabetic people by year 2045. In a regional perspective, about 251 million (45%) diabetic people resides on the Western Pacific and Southeast Asian region, whereas about 140 million people are undiagnosed of the disease. In this study, a genetic algorithm-optimized neural network using MATLAB was developed based on the risk factors. The experimental results show that the best validation performance has a value of 0.014129 and with a regression model coefficient R2 value of 0.95864.

Serious game is one of the pedagogical media capable of transferring knowledge to its players. This game genre requires a support system that adaptively selects the appropriate scenario for players to increase their interest and comfort. Therefore, this study proposed an adaptive scenario selection (ASS) system using a finite state machine based on an artificial neural network (ANN). The game scenario is selected by ASS based on five player preferences, including work, hobbies/interests, origin, group members, and repetition. Furthermore, the multi-layer perceptron (MLP) architecture was used in the scenario selection process for the proposed ANN method. The experimental stage was carried out using the theme of travel in several tourism destinations in Batu City, East Java, Indonesia. The experimental results show that ASS succeeded in generating adaptive game scenario choices for players based on their preference data with an accuracy of 67.25%.

Corrosion is the leading reason for reinforced concrete structures reduced service life. Structures such as ports and harbors and bridges and other offshore and near shore are prone to chloride-induced corrosion. This research evaluates the use of self-compacting concrete (SCC) as an alternative concrete for such structures. In theory, SCC reduced water content, and high cement and powder content will help protect the reinforcement from chloride intrusion because of its lower porosity and the alkalinity that the cement provided. Sixteen different mixtures of SCCs were mixed and tested for rheology, compressive strength, rapid chloride ion penetration test (RCPT), and impressed current (IC). Water content is the significant factor that affects both RCPT and IC. The segregation of SCC when too much water-cement ratio is combined with a high amount of superplasticizer resulted in a high level of corrosion in the reinforcement. The formation of cracks accelerates the corrosion due to the increased flow of current in the IC set-up. The impressed current technique is the suggested method for determining the corrosion resistance of concrete since it simulates the similar effect of corrosion to concrete which is cracking. It also stimulates the effect of rust on the flow of current. A rapid chloride penetration test is a good indicator of the durability of concrete but may be insignificant for predicting the corrosion level of reinforcement for SCC. Segregation negatively affects the total charge passed in the impressed current and the corrosion level of the rebar.

Riverbank collapse was recorded in the Philippines especially during typhoons and heavy rains. To analyze the possibility of failure, Slope/W under the Geostudio package was used as a finite element modeling technique in the study. The simulation determined the effect of the factor of safety (FOS) from the six (6) different assumed slopes and 15 different soil properties. The assumption of the present paper is that the properties of the soil and slope of the riverbank can determine the stability status of the sloping riverbank. There was a total of 90 simulations that were analyzed using the Morgenstern-Price method. The simulation results concluded that the highest and safe values of the factor of safety were recorded in simulations 1, 5 and 12 which are all more than 1.50. The simulations with a lower value of cohesion resulted in a lower value of the factor of safety. The correlation assessment result revealed that the slope instability or failure of slopes of riverbanks can be attributed to the cohesion values and the angle of internal friction (ϕ). It is recommended using a flatter slope and high values of cohesion which can be attained by riverbank improvement. If lower values of cohesion were detected, additional measures like bank stability should be proposed. The measures to be implemented should improve the FOS value which would improve the stability of slopes, thus preventing the vulnerability to riverbank collapse.

This capstone project aimed to explore the impact of behavioral and social stress on the mental well-being of early adolescents in the Philippines. The study highlighted the high prevalence of behavioral and emotional problems among Filipino children and emphasized the need for increased access to mental health services. The project focused on assessing the effectiveness of school guidance and counseling services as a potential solution. It effectively evaluated interactivities such as the interactive video and the interactive workbook in identifying and addressing developmental and behavioral concerns. The proponents aimed to provide insights into the factors contributing to behavioral stress and social anxiety among adolescents and suggested interventions to improve their mental well-being. This study was relevant to policymakers, educators, and mental health professionals involved in the well-being of children and adolescents in the Philippines.

Human curiosity and the pursuit of areas of interest are fundamental drivers of exploration and skill development. One avenue for understanding vocational interests is the Reading-Free Vocational Interest Inventory Third Edition (RFVII-3), particularly relevant for individuals, including those with mental disabilities. The RFVII-3 assesses vocational interests and aligns individuals with specific vocational clusters. However, its traditional face-to-face, one-on-one administration, and manual scoring present significant challenges, consuming approximately 1.5 hours. This paper presents a novel approach to streamline the RFVII-3 assessment process by developing a digital prototype. This device captures and scores RFVII-3 item images selected by examinees, instantly aligning them with relevant vocational clusters. The result is generated in less than five seconds after completing the last item, effectively expediting vocational interest assessment. This innovative technology promises to enhance the efficiency and accessibility of vocational interest assessment, particularly benefiting individuals with intellectual disabilities.