Malayan Colleges Laguna

Visual speech recognition systems encounter significant challenges in multilingual nations such as the Philippines, where numerous regional languages, including Cebuano and Ilocano, feature distinct phonetic-visual characteristics. Deep learning models such as the Lip Reading Network and the Lightweight Crowd Segmentation Network have demonstrated strong performance with 3D Convolutional Neural Networks (CNNs). However, their substantial computational requirements restrict deployment on portable edge devices. We introduce a more efficient alternative that integrates a 2D Residual Network 50 architecture with a Long Short-Term Memory network and Connectionist Temporal Classification for lip-reading classification of Philippine regional languages. The proposed model is deployed on the Jetson Orin Nano, a high-performance edge device optimized for real-time inference through Compute Unified Device Architecture acceleration. Using a dataset of 2000 annotated videos encompassing 10 lexicons each for Cebuano and Ilocano, the model’s effectiveness was evaluated. Results achieved a regional language classification accuracy of 90%, with lexicon-level accuracies of 74% for Cebuano and 66% for Ilocano. This work represents a step toward developing accessible and scalable communication aids for deaf communities in linguistically diverse environments, leveraging transfer learning on pretrained models.

Oversupply remains as one of the persistent issues faced in the Philippine agriculture sector. This problem usually occurs during the peak harvest season, when farmers cultivate the same crops simultaneously. Farmers, as the primary decision makers in farming operations, have a significant influence on supply outcomes. This study utilized the Partial Least Squares Structural Equation Modeling (PLS-SEM) to determine the influence of supply chain factors logistics, market access, postharvest handling practices and infrastructure, and forecasting on farmers’ supply-related decisions in La Trinidad, Benguet. The data were gathered from 157 farmers using a structured questionnaire administered during the municipality’s 4th Farmers and Fisherfolk Month Celebration. The results revealed that market access, logistics, and post-harvest handling practices and infrastructure significantly shape farmers’ supply-related decisions. Logistics is found to be the most important predictor of market access, while geographical location strongly influences logistics, which in turn impacts postharvest quality and market access. Moreover, the support and initiatives from the government and private sector significantly strengthen logistics, post-harvest handling practices and infrastructure, and forecasting while fostering the adoption of sustainable agricultural practices. By identifying the interplay of these factors on farmers’ supply-related decisions, this study provides a noble framework for policymakers and agricultural leaders to design interventions that minimize oversupply, reduce waste, and enhance supply chain efficiency thereby promoting agricultural sustainability and supporting the United Nations Sustainable Development Goals.

This study examined how knowledge management orientation and organizational justice influence the organizational effectiveness of private colleges in Davao del Norte. Anchored in the Knowledge-Based View (KBV) of Grant (1996) derived from the Resource-Based View (RBV) of Wernerfelt (1984), and supported by Adams’ Equity Theory and Social Exchange Theory, the research investigated how knowledge resources and perceptions of fairness contribute to institutional performance. A non-experimental quantitative design using a descriptive–correlational approach was employed to examine relationships among the variables. Data were collected from employees of private colleges in Davao del Norte using a structured survey questionnaire adapted from established instruments: the Organizational Effectiveness Scale (Kareem & Alameer, 2019), the Knowledge Management Orientation Scale (Vij & Sharma, 2004), and the Organizational Justice Scale (Purwantoro & Bagyo, 2019). Statistical analyses included mean, Pearson correlation, and multiple regression. Results indicated that knowledge management orientation, organizational justice, and organizational effectiveness were all manifested at high levels. Knowledge management orientation was characterized by strong innovation, learning, knowledge sharing, and information technology practices. Organizational justice was also highly manifested, particularly in interactional justice. Organizational effectiveness was similarly rated high across the competing values, goal, and system resource approaches. Correlation analysis revealed significant positive relationships between knowledge management orientation and organizational effectiveness (r = .821, p < .01) and between organizational justice and organizational effectiveness (r = .846, p < .01). Regression analysis further showed that knowledge management orientation and organizational justice jointly explained 75.7% of the variance in organizational effectiveness, with organizational justice demonstrating the stronger influence. The findings highlight the importance of knowledge sharing systems, innovation practices, and fair organizational processes in strengthening institutional performance. The study recommends strengthening knowledge-sharing mechanisms, enhancing transparency in management practices, and expanding professional development initiatives to sustain organizational effectiveness. This research supports Sustainable Development Goal (SDG) 4 on Quality Education by promoting effective educational institutions and SDG 8 on Decent Work and Economic Growth through fair organizational practices and improved institutional productivity. By strengthening governance, knowledge management, and organizational fairness in higher education institutions, the study contributes to institutional sustainability, improved workforce engagement, and long-term socio-economic development in educational communities.

Abstract Drip irrigation is an important process in helping farmers improve crop production. It delivers water into the roots of plants. However, despite agricultural developments, challenges such as clogging, maintenance, and equipment costs continue. This research aimed to address the gap in studies on the efficiency of subsurface drip irrigation by exploring alternative designs, as past studies have primarily focused on shark’s fin-inspired designs. Particularly, it focused on modifying the emitter of the drip irrigation system by adding anti-clogging features modelled from the whale tubercles. This study has evaluated whether there was an improvement in efficiency parameters of the irrigation system, and if the seriousness of clogging was reduced. After conducting the experiment, the results from the Mann-Whitney U Test showed that the drip irrigation with the modified emitter significantly improved the Christiansen uniformity constant (CU) of 96.12%. It was also found out that the available water for plants (AWP) reached plant roots in the drip irrigation with emitter was around 1.94 - 2.04 L. The flow rate was observed from 2.0 - 2.1 L/hr which showed controlled water delivery. The irrigation efficiency was determined to be 97.12 - 97.15% indicating efficient delivery of water. These findings suggest that the modified drip emitter has the potential to enhance delivery of water in the drip irrigation system.

Compassion is essential in nursing practice, particularly in high demand settings such as hemodialysis units, where prolonged patient interaction may predispose nurses to compassion fatigue. This study aimed to determine the levels of compassion and compassion fatigue and examine their relationship with selected demographic variables among hemodialysis nurses in the Third District of Laguna. A descriptive correlational design was employed involving 65 hemodialysis nurses. Data were collected using adopted and standardized questionnaires, including a 16-item compassion scale and a 30-item compassion fatigue scale. The instruments were validated by four experts using an authorized validation tool and pilot-tested prior to data collection. Data were analyzed using frequency and percentage distribution, median, Spearman’s rho, and chi-square tests. Results showed that a majority of respondents reported low (68%) or moderate (32%) levels of burnout. In terms of secondary traumatic stress, 40% of the nurses experienced low levels, while 60% reported moderate levels, indicating a notable presence of compassion fatigue among the respondents. Compassion satisfaction was significantly associated with selected demographic factors, including age, years of service, and marital status, with older, more experienced nurses reporting higher levels of satisfaction. However, no statistically significant relationships were found between demographic variables and overall compassion levels. These findings suggest that compassion fatigue among hemodialysis nurses is influenced more by work-related demands and professional exposure than by demographic characteristics alone. The study highlights the need for targeted interventions that promote nurses’ well-being, support emotional resilience, and help sustain compassion to ensure the continued delivery of high-quality patient care.

• A novel non-invasive framework for subsurface object detection using acoustic signals. • FastICA-based Blind Source Separation enhances signal clarity in noisy environments. • Spectral features (MFCCs, Chroma, Mel coefficients) reveal consistent object-induced shifts. • Achieved 91.67 % classification accuracy across soil, rice husk, and sand terrains. • Demonstrated strong generalization and reliability under variable field conditions. Accurate detection of underground anomalies such as voids, sinkholes, and buried cavities is critical for mitigating geohazards and protecting infrastructure. Traditional imaging techniques often suffer from resolution degradation and signal contamination in heterogeneous soil environments. This study presents a novel acoustic-based object-truthing framework that integrates Blind Source Separation (BSS) using Fast Independent Component Analysis (FastICA) to isolate target-relevant signals from noisy mixtures. A custom-built sensing platform was deployed across three terrain types such as soil, rice husk, and sand—to capture subsurface acoustic responses. Key spectral features, including Mel-Frequency Cepstral Coefficients (MFCCs), Chroma Vectors, and Mel Spectrogram Coefficients, were extracted to characterize frequency content, harmonic structure, and perceptual energy distribution. Controlled trials revealed consistent spectral shifts due to buried hollow spheres, with MFCC means increasing from –298.77 to –223.70, Chroma means decreasing from 0.5782 to 0.1296, and Mel coefficients inverting from –51.45 to 6.435, confirming strong object-induced resonance effects. The integrated classification model achieved an accuracy of 91.67 %, with F1 scores ranging from 0.90 to 0.93 across all classes. Additional metrics, including Matthews Correlation Coefficient (0.8761) and Cohen’s Kappa (0.8750), validated the model’s reliability. Post-separation signal-to-noise ratio (SNR) improved by up to 18 dB, enabling robust detection even in acoustically challenging conditions. These findings demonstrate that the proposed BSS–ML pipeline offers a cost-efficient, interpretable, and terrain-resilient solution for subsurface anomaly detection in geophysical applications.

Adjustment to college is a multidimensional process that encompasses academic, personal-emotional, and social aspects requiring students to adapt to new learning environments, responsibilities, and relationships. This study examined the adjustment of first-year students at Apayao State College. Data were collected using an adopted survey questionnaire and analyzed through frequency, percentage, chi-square test, and T-test. Results show a balanced gender ratio and a preference for the Criminology course. Students reported mild challenges in anxiety, academic, and interpersonal adjustment that did not significantly disrupt daily life. Gender differences indicated slightly higher anxiety and interpersonal difficulties among females, though these were often not statistically significant. No significant differences were observed across courses, suggesting common adjustment experiences regardless of program. Overall, findings highlight manageable adjustment challenges among first-year students and underscore the importance of institutional support in fostering successful transitions.

This thesis study entitled “Organizational Commitment, Adaptive Performance and Job Satisfaction of Hotel Employees in Region XII” investigated the level of organizational commitment, adaptive performance and job satisfaction of hotel employees and designed to yield an intervention program that will help increase if not sustain the above-mentioned variables. The study consisted of 10 problems and 3 hypotheses. The research instrument which was an adapted 4-part questionnaire was administered to 782 hotel employees, 91 of which are managers/administration and 691 are employees of two-to-four stars hotels in Region XII accredited by the Department of Tourism to examine the level of organizational commitment, adaptive performance and job satisfaction of hotel employees. It used the descriptive research design particularly descriptive normative survey and correlational research to determine the level of organizational commitment, adaptive performance and job satisfaction of hotel employees. The paradigm of the study was the IPO (input, process, and output) where each variable was thoroughly discussed in the review of related literature and studies. The data were statistically analyzed using the frequency count, percentages, mean, standard deviation, t-test, ANOVA and Pearson r. The result shows that respondents were often committed to the organization, often performed adaptively and often satisfied with their job. The hotel is therefore, urged to improve the level of organizational commitment, adaptive performance, and job satisfaction of hotel employees. Relative to the result of the study, an intervention program in a form of revisiting the policy manual and strategic planning is proposed.