In a worldwide perspective of the most common cancer diseases, cervical cancer is ranked fourth most frequent whereas the worldwide mortality rate is at 54.56%. In the Philippines, the second leading site among women is cervical cancer next to breast cancer. Research shows that cervical cancer is one of the most treatable cancer forms if detected and managed early. Currently, the most reliable diagnosis and prevention method of cervical cancer is thru a regular testing via Pap Smear test and HPV vaccination being performed in hospitals worldwide. However, according to the Centers for Disease Control and Prevention in California, the cervical cancer screening rate of regular testing in hospitals went down significantly during the stay-at-home order by the government due to the COVID-19 pandemic. Also, there are limited research based on the behavior information in relation to cervical cancer risk prediction, but existing studies proves the possibility of the risk prediction based on behavior information. This paper presents an Artificial Neural Network-based model for early cervical cancer risk detection based on behavior information. The neural network was trained using scaled conjugate gradient back propagation. The system showed 98% overall correctness in early cervical cancer risk prediction.

Flood is a natural disaster mostly caused by typhoons that deal with health, property, and economic damages to areas affected by the inundation, especially on low lying areas such as Marikina, like in the times of typhoon Ondoy and typhoon Ullyses. This study aims to develop an accurate flood hazard map with the use of interval rough numbers to improve the urban management and flood response of the local government. The methodology considered elevation, Slope, distance from water surfaces, drainage density, land use/land cover, and soil profile as factors that would be relevant to the flooding of Marikina city. Online surveys were distributed to different experts under the scene of urban planning, hydrology, environmental protection, water supply and sanitation, and transportation to rate each individual factor’s importance with regards to the other factors by using the Saaty rating scale. Interval rough numbers, fuzzy, and crisp AHP were applied to the matrices of the experts’ rating of the factors and integrated with the generated flood hazard map. The generation of flood hazard maps was done with ArcGIS by utilizing different spatial maps gathered from online sites. After integrating the different MCDA techniques, a comparison was done to identify the most accurate on all the techniques and validation was done through utilizing historical flood data of Marikina City. After the application of the different MCDA techniques to the produced flood hazard map and validation by utilizing flood points of Marikina, the Rough Interval AHP proved to be the most consistent out of the two methods with an accuracy of 95.82%, 90.23%, and 80.72%, respectively. The results showed that from the total area of Marikina City, 33.16% out of it is under the classification of “very high” hazard, 24.42% is under the “high” hazard category, 17.67% is under the “moderate” hazard, 13.20% is under the “low” hazard, and 11.55% is under the “very low” hazard.

Environmental awareness enables us to take measures in protecting and maintaining the environment. Moreover, video games are available everywhere as a means to not only entertain, but also to develop one’s skills. They may be used as a teaching tool while still being fun to play to instill healthy habits, especially when it comes to the environment. This paper presents the development of EcoAction – a tap and drag 2D Android game that promotes environmentalism. We describe the game design of EcoAction and provide a validated questionnaire for assessing the aesthetics and gameplay. Results demonstrate that the received positive responses for its well-designed gameplay and appealing visuals. Therefore, videogames like EcoAction can be used as an awareness platform to encourage players to adopt environmental practices.

Agriculture has a big contribution in the life of most of the residents of Isabela having rice as the main crop. Having a large farm cannot be easily harvested manually so using a harvester machine helps the farmers get the rice and sell immediately without hustle. Through this, researchers aim to provide an easier and more comfortable way of purchasing harvester parts to the consumers without going on the physical store. This online ordering with recommender system displays the products and suggest relevant items to consumers. The integration of augmented reality in the physical brochure shows the 3D animations and descriptions of the 10 major parts of the machine which gives the consumers the knowledge about a certain part before it will be used in farm operations. In summary, the developed system is aimed at giving agricultural marketing information to all the farm owners in Isabela as well as to help increase the sales of the company.

Cities Talking is a crowdsourcing system where users can check-in in local stores (restaurants, food stalls, merchandise stores) located in the Philippines using the geolocation of their device as well as leave comments, stories, and even guides that will be processed under Lexicon Based approach of Sentiment Analysis to determine the polarity (Positive or Negative) rating of the particular location. The system will also have a leaderboard system where users can collect points and badges by checking-in on different places and be ranked up against their friends and other users. The system will also offer a recommendation system to the user where the application suggests near local restaurants, malls, or restrooms, to name a few, based on their proximity and the rating of the place. Since the main essence of the system is crowd sourcing, users can also share the safety level they feel while they are on their pin-location. Their friends can also see the score they inputted as well as the average score of the area based on the total score of all users who checked-in there. To test the effectiveness of the software, the proponents conducted a survey to I.T. specialists; using FURPS model, the result showed a weighted mean of 4.90 which corresponds to excellent.

In the video game industry, games are purposely developed and designed for entertainment, but with the innovative technology we have right now, various video games have been created that are not just for entertainment. Nowadays there are video games for education, medical rehabilitation, awareness campaigns, and applications that target a specific type of illness or impairment or simply to enhance the way of life. To motivate people with these predicaments, gaming has been modified to offer not only entertainment but also a way to help others. The proposed game entitled Beast Chasers — an Action Role Playing Game (ARPG) for PC Platform will make use of symbolism and deep storyline as an instrument to deliver societal issue awareness. The proponents used the Analysis of Variance (ANOVA) to figure out which age group, gender, or economic level will be most interested in the game as the project's target audience. The proponents used Convenience Sampling because it is considerably faster and easier to get findings. To assess the game impact, a questionnaire based on the Likert Scale was given to 30 people and it is used to measure opinions or perceptions about the game and it can also identify where the areas of the game can improve. The results of the game evaluation received a total of 5.54 mean implying that the game was quite satisfying and that the sample was enthusiastic about the game. Therefore, Beast Chasers has promoted and raised an awareness about the Societal Issues that the world is dealing with also making it into a form of ARPG Video Game.

With the fast-paced growth of technology in our generation today, a lot of different applications has been developed in order to make people's lives more convenient and comfortable. However, due to the people's attachment to these technology, they have grown more and more sensitive with what they read from the internet (especially social media) — this in return takes toll on their mental health capabilities and provides problems for them and their families. This study aims to promote the presence of a mental health issue that has been frequently discussed by a lot of people through the years — this disorder is known to be depression. The researchers’ aim in this study is to develop a game that can aid people in understanding how depression affects the character through the said game's story — and help alleviate some possible factors that saddens or disrupts the player's mind from the gameplay and music. One of the main elements from this study is that interviews from psychologists, psychiatrists, and guidance counselors would be conducted and analyzed in order to know the possible problems that the target audience of the project may or may not face in their own lives — the researchers would then conduct a survey accompanied with the Patient Health Questionnaire (PHQ-8) in order to test the game's effectiveness and enjoyment. Based from the overall results of the study, the researchers were able to analyze the gathered PHQ-8 survey and has successfully rejected their null hypothesis — which means that the project has an effect on decreasing the severity of depression of the players. Overall, the researchers were able to satisfy their objectives which makes the project a step closer in developing an application that can be positively used for both entertainment and depression awareness in the future.

In the Philippines, there is still a barrier language between the deaf and hard of hearing and abled communities. This could be attributed to how time and resource-consuming it is to learn FSL. This study aims to develop an FSL emergency sign detection in hopes to diminish the prejudice against dhh and the barrier that prevent them from being entirely accepted by non-dhh. To test the hypothesis of how fast hand detection works in emergencies using mobile, YOLO v4 tiny was used as the main algorithm for FSL detection for selected phrases often used in emergencies backed by an online survey for its usefulness. The results yielded an average accuracy of 85% in detecting the hand signs in different background environments with ample lightning and that using the mobile application to detect emergency hand signs is fast and accurate enough when in different backgrounds.

Supervision regarding the wellness and security of the students of NBCA International School is insufficient. As for short break times and only one concessionaire, negligence in the school’s canteen is prominent. To administer and enrich the wellbeing of each student, MoniPay intends to monitor the consumption and expenditures of food purchased using NFC or Near-Field Communication cards where parents are notified of the student’s procuring activities. Reports of student's daily and weekly expenditures are accessible in the parent application. This study emphasizes the need for the system to fulfill what is lacking in administering the wellness of the students in the school. This study is quantitative research wherein data is collected by way of surveys answered by respondents chosen through a purposive sampling technique to improve the system. The results and objectives have been met in line with the gathered information from research, interview, and surveys.

SEEP/W is a sophisticated finite element program for simulating groundwater flow in porous media. SEEP/W can also model simple saturated steady-state problems as well as complicated saturated/unsaturated transient analysis. This study aims to determine the effects of the different types of isotropic soils on the seepage and exit gradient of homogeneous earth dams through using seepage analysis simulation. A total of sixty simulations were performed to determine the effects of each six different types of isotropic soil, including gravel, silt, silty sand, silty clay, clay and sand, on the seepage and exit gradient of homogeneous earth dams. In the simulation data, the highest value of the exit gradient is from gravel, which is 0.50003672, while the lowest value is from clay, with a value of 0.500029. In seepage flux, gravel and clay soil have the highest and lowest values, with a minimum and maximum value of 3.00E−04m3/s and 3.00E−02m3/s for gravel and 1.00E−11m3/s and 4.70E−09m3/s for clay,, respectively. The computed r-value is 0.623 and the tabular value is 0.2546766 with 58 degrees of freedom and a 0.05 level of significance. Due to the r-value of 0.623, which is in between the r-values of 1.0 and 0.5, the seepage and exit gradient have a Positive Relationship in terms of Pearson's Correlation Method. Based on this data, it is highly recommended to use clay soil for designing embankment dams as it has low value for both seepage and exit gradient which could prevent piping. While gravel should be avoided among the six types of soil that were simulated since it has a high value for both seepage and exit gradient, making it more susceptible to piping which is one of the major causes of dam failure.