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<title>LORMA Colleges-Research Institute</title>
<link href="https://research.lorma.edu/xmlui/handle/123456789/4" rel="alternate"/>
<subtitle>LORMA Colleges-Research Institute</subtitle>
<id>https://research.lorma.edu/xmlui/handle/123456789/4</id>
<updated>2026-08-01T23:42:55Z</updated>
<dc:date>2026-08-01T23:42:55Z</dc:date>
<entry>
<title>Catsonic: Cat Sound Classification Using Machine Learning  Algorithms</title>
<link href="https://research.lorma.edu/xmlui/handle/123456789/373" rel="alternate"/>
<author>
<name>Sarah D. Oghenekaro</name>
</author>
<id>https://research.lorma.edu/xmlui/handle/123456789/373</id>
<updated>2026-07-24T08:09:10Z</updated>
<published>2024-07-08T00:00:00Z</published>
<summary type="text">Catsonic: Cat Sound Classification Using Machine Learning  Algorithms
Sarah D. Oghenekaro
Catsonic is a unique project aimed at helping cat owners and veterinarians understand the sounds that cats make. Cats communicate through various sounds, and deciphering these can be challenging. In collaboration with cat owners and veterinarians, the researchers gathered a diverse set of cat sounds both online and from local communities in City of San Fernando, La Union.  Cat sounds dataset forms the basis for training our machine learning model.  The researchers approach involves using advanced technology called Convolutional Neural Networks (CNN) to classify and recognize different cat sounds. The researchers rigorously tested and evaluated the model to ensure accuracy and effectiveness in identifying various sounds, considering factors like sensitivity and specificity. The result of the researchers’ efforts is a user friendly mobile application. Catsonic provides a tool for cat owners and veterinarians to interpret and understand cat sounds better. The researchers also assessed the application's ease of use through the System Usability Scale  (SUS), the developed application was evaluated in terms of its usability and  found to be acceptable with a percentage of 80.13%. Catsonic is not just an innovative solution; Catsonic serves as a bridge for improved communication between humans and their feline friends. This project showcases the power of technology, specifically machine learning, in addressing real challenges faced by pet owners and veterinarians. This capstone project highlights the transformative power of technology, specifically machine learning, in addressing tangible challenges faced by pet owners and veterinarians.  Catsonic stands as a testament to the potential of leveraging advanced technologies for the betterment of the human-animal bond, showcasing how innovation can enhance understanding and connection with beloved pets.
</summary>
<dc:date>2024-07-08T00:00:00Z</dc:date>
</entry>
<entry>
<title>A Smooth Fluidity of Life: The Hypertension Intervention in the Rural Health Unit in Tubao, La Union as the Foundation for the Stability of the Community</title>
<link href="https://research.lorma.edu/xmlui/handle/123456789/372" rel="alternate"/>
<author>
<name>Geo Louise C. Madriaga</name>
</author>
<author>
<name>Ailah Rajabelle G. Alviar</name>
</author>
<author>
<name>Vince Gabriel C. Fernandez</name>
</author>
<author>
<name>Paris Izabel H. Gaerlan</name>
</author>
<author>
<name>Jonnabie B. Julaton</name>
</author>
<author>
<name>Lionel Alfred Karl I. Montilla</name>
</author>
<id>https://research.lorma.edu/xmlui/handle/123456789/372</id>
<updated>2026-07-24T08:06:15Z</updated>
<published>2024-07-08T00:00:00Z</published>
<summary type="text">A Smooth Fluidity of Life: The Hypertension Intervention in the Rural Health Unit in Tubao, La Union as the Foundation for the Stability of the Community
Geo Louise C. Madriaga; Ailah Rajabelle G. Alviar; Vince Gabriel C. Fernandez; Paris Izabel H. Gaerlan; Jonnabie B. Julaton; Lionel Alfred Karl I. Montilla
Hypertension is a pervasive and life-threatening global health crisis that demands urgent attention. This study explores the challenges faced by medical professionals in monitoring hypertension, their coping strategies, interventions used, and level of involvement in patient care. Utilizing a descriptive mixed-method design, the study selected ten participants through purposive sampling, gathering data through semi-structured interviews and survey questionnaires. Thematization was employed to analyze the data, yielding three major themes and three to four sub-themes each, providing deep insights into the experiences of medical professionals at Tubao Rural Health Unit. Additionally, descriptive analysis using means determined the level of involvement among medical professionals in monitoring hypertension. Challenges identified included miscommunications due to lack of health education on hypertension, patient disinterest in blood pressure monitoring, limited access to remote areas, and cultural and belief differences. Despite these obstacles, medical professionals adapted and developed effective coping strategies such as collaboration with peers, taking the initiative to monitor patients who do not visit the RHU, and embracing induced relaxation. They implemented interventions like frequent blood pressure monitoring, strategic approaches to hypertensive patients, and health education campaigns to raise awareness. The study observed a significant degree of participation among medical professionals in hypertension monitoring, with an overall mean of 4.42, highlighting their level of involvement as “Very Involved.” The research emphasizes the critical need for substantial support from government and local government units to empower medical professionals to manage hypertension effectively within rural communities and ensure better health outcomes for the population.
</summary>
<dc:date>2024-07-08T00:00:00Z</dc:date>
</entry>
<entry>
<title>Performance Evaluation Tool for Radiologic Technology Interns of Lorma Colleges</title>
<link href="https://research.lorma.edu/xmlui/handle/123456789/370" rel="alternate"/>
<author>
<name>Carl Cheevey A. Ablin</name>
</author>
<author>
<name>Trina Amor A. Colisao</name>
</author>
<author>
<name>Ashley Marie L. Daigdigan</name>
</author>
<author>
<name>Ethan Drahcir B. Equilla</name>
</author>
<author>
<name>Herley Keith A. Esperon</name>
</author>
<author>
<name>Frances Gisella R. Lunor</name>
</author>
<author>
<name>Daphne Cate G. Navarro</name>
</author>
<id>https://research.lorma.edu/xmlui/handle/123456789/370</id>
<updated>2026-07-09T08:00:27Z</updated>
<published>2025-06-19T00:00:00Z</published>
<summary type="text">Performance Evaluation Tool for Radiologic Technology Interns of Lorma Colleges
Carl Cheevey A. Ablin; Trina Amor A. Colisao; Ashley Marie L. Daigdigan; Ethan Drahcir B. Equilla; Herley Keith A. Esperon; Frances Gisella R. Lunor; Daphne Cate G. Navarro
Radiologic Technology Internships are vital for developing clinical competence. However,&#13;
the lack of standardization in performance evaluation tool poses a challenge to the accuracy,&#13;
reliability, and fairness of assessing the Radiologic Technology intern’s clinical competencies. This&#13;
study describes the development and implementation of a performance evaluation tool to assess&#13;
the clinical competencies of Radiologic Technology interns at Lorma Colleges, aligned with the&#13;
program outcomes outlined in CHED Memorandum Order No. 7, Series of 2018. Utilizing a&#13;
descriptive-comparative approach, the study compared self-assessments from 48 interns with&#13;
evaluations from 3 clinical instructors and 30 hospital affiliation staff to identify strengths and&#13;
areas for improvement. Results showed that interns were rated from “Highly Proficient” to&#13;
“Outstanding” across all areas, with the highest scores in ethical practice (4.91), nationalism&#13;
(4.86), and patient care (4.82). Lower scores were noted in academic research and lifelong&#13;
learning. Statistical analysis revealed significant differences in ratings among evaluator groups in&#13;
seven out of eight areas (p &lt; 0.05), yet overall performance remained at or above the expected&#13;
competency level. These result validates the evaluation tool’s applicability in assessing intern’s&#13;
performance and confirm its alignment with CHED’s program outcomes. It is therefore&#13;
recommended that the evaluation tool continue to be used, with enhancements focused on&#13;
leadership, research engagement, and lifelong learning to ensure the holistic development of&#13;
future radiologic technologists in line with both professional standards and evolving demands of&#13;
healthcare.
</summary>
<dc:date>2025-06-19T00:00:00Z</dc:date>
</entry>
<entry>
<title>Health Related Quality of Life of Cancer Survivors after Radiation Therapy</title>
<link href="https://research.lorma.edu/xmlui/handle/123456789/369" rel="alternate"/>
<author>
<name>Althea B. Acquiatan</name>
</author>
<author>
<name>Frances Louise D. Bartolome</name>
</author>
<author>
<name>Christian Paul Q. Catbagan</name>
</author>
<author>
<name>Rolando L. Duquilla III</name>
</author>
<author>
<name>Deisirey Diane G. Inigo</name>
</author>
<author>
<name>Zilian E. Nieveras</name>
</author>
<id>https://research.lorma.edu/xmlui/handle/123456789/369</id>
<updated>2026-07-09T07:55:14Z</updated>
<published>2025-06-19T00:00:00Z</published>
<summary type="text">Health Related Quality of Life of Cancer Survivors after Radiation Therapy
Althea B. Acquiatan; Frances Louise D. Bartolome; Christian Paul Q. Catbagan; Rolando L. Duquilla III; Deisirey Diane G. Inigo; Zilian E. Nieveras
This study evaluate the Health-Related Quality of Life (HRQoL) among cancer survivors&#13;
following radiation therapy, focusing on the interplay between treatment side effects,&#13;
demographic variables, and overall well-being. Using a quantitative descriptive design and a&#13;
modified World Health Organization questionnaire (WHO), data were collected from 50 cancer&#13;
survivors in La Union, Philippines through snowball sampling. The findings revealed that&#13;
respondents reported moderate amount of satisfaction across various HRQoL domains,&#13;
including physical, psychological, social relationship, and environmental. Fatigue and emotional&#13;
distress were noted as major concerns, with no statistically significant differences in HRQoL&#13;
found when grouped by age, sex, diagnosis, or socioeconomic statussuch as highest educational&#13;
attainment, monthly income, and employment. The study underscores the importance of&#13;
supportive care, tailored interventions, and comprehensive survivorship programs to address&#13;
the persistent challenges faced by survivors. An Information, Education, and Communication&#13;
(IEC) material was developed to help improve HRQoL outcomes in this population.
</summary>
<dc:date>2025-06-19T00:00:00Z</dc:date>
</entry>
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