Abstract:The search for strategies that improve teaching practices is a fundamental aspect in the establishment of quality processes for the teaching of the different academic disciplines in university institutions. The article analyzes the impact of the increase in direct teaching hours and the inclusion of a standardized evaluation in the scope of accounting competence by students in cohorts of the first accounting course at the ITM's Department of Finance. The study methodology is an experimental analysis in two student cohorts. Five variables were analyzed and the interrelationship between them, before and after the curricular change. The study identified that the inclusion of the new curricular strategy has a positive impact on the learning of the competencies of the subject Foundations of Accounting
JEL Code:M40, M41, M42

Keywords:Standardizedexam, face-to-faceclasseshours, didactics,accountinglearning, competition.

Biography:Orlando Carmelo Castellanos Polo is a Public Accountant; with emphasis on Fiscal Review, Internal Audit, External Audit, Financial Analysis, Taxation, Office Administration, Personnel Management and University Teaching. With high experience in Audit and Accounting under IFRS (IFRS), evaluation of controls and procedures, Comprehensive business advisories and teamwork

Abstract:People who are of different ages and background work together in one organization in most businesses, and this results in the employment of a diverse range of employees. While younger employees may favor cutting-edge, self-directed training techniques, older ones may want trainings that are more conventional and trainer led. The COVID-19 epidemic has fundamentally transformed the nature of employment among many people. This study suggests a framework to determine older employees’ acceptance on the use of technology at workplaces post-pandemic. The framework is built on Davis’s (1989) Technology Acceptance Model (TAM) to explicitly examine older employees’ technology adoption in the post-pandemic workplace. This study employed the search strategy and criteria in locating pertinent literatures to conduct the analysis. Important information had been gathered using Emarald, JStor, Sage, and Google Scholar databases. 87 publications were eligible for inclusion. The data collected from literatures was analyzed through directed content analysis. The suggested framework presents measurable attitudinal factors that determine the older employees’ actual behavior and tendency to act meaningfully in the working environment. To do this, search was sought and resulted in motivation as Perceived Usefulness and technology familiarization as Perceived Ease of Use. The proposed hypotheses are set to predict older employees’ behavior to adopt technology in the post-pandemic workplace by improving TAM approach.

Keywords:older employees, technology, TAM approach, workplace

Abstract: The act of sharing or exchanging information, ideas, or emotions is referred to as communication. In order for communication to occur between two individuals, they must possess knowledge and understanding of a common language. However, for individuals who are deaf and mute, communication occurs through a different means. Deafness refers to the inability to hear, while muteness refers to the inability to speak. These individuals use sign language to communicate with each other and with the general population. However, the importance of sign language is often overlooked by those who do not possess knowledge or understanding of it, making communication between individuals who are deaf and mute and those who are not quite challenging. To address this communication barrier, a machine learning- based model can be created. This model can be taught to recognise various sign language motions and convert them into English. This method has the potential to improve communication between deaf and mute people and others. The current Indian Sign Language Recognition systems use machine learning techniques to recognise single and double-handed motions, but they do not work in real time. This work describes a novel method for creating an Indian Sign Language dataset using a webcam and training a TensorFlow model for real-time Sign Language Recognition via transfer learning. Despite its small size, the system achieves a high level of precision.

Keywords:Indian Sign Language, Sign Language Recognition(SLR), Computer Vision, Communication

Abstract:Tourism is a field that is continuously changing because to the large number of people who participate in it, seek out new locations, and look for undiscovered gems, but are typically met with generic. Whether they be beaches or mountains, tourism destinations. By classifying locations into various categories, the proposed Android application provides users with recommendations for lesser-known destinations based on their personal tastes. The work flow incorporates a hybrid recommender system, which combines collaborative filtering for proposing locations based on comparable people and content-based filtering for doing so based on similar material. Map-My-India is implemented for map retrieval, navigation control, and access, while Firebase is used to store user data and login information.

Keywords:Tourism, Android Application, Hybrid Recommender system, Collaborative filtering, Content based filtering

Paper title:Defenders Defending Duterte: Positioning Analysis of Apologists’ Defenses of Former Philippine President Rodrigo Roa Duterte in the Context of Making Rape Jokes

Abstract:Introduction: In the Philippines, the act of making a rape joke is considered rude, inappropriate, and unacceptable and the ones making rape jokes are criticized for their behavior. As a presidential candidate, Mr. Duterte was forced to apologize for his rape joke during a campaign in 2016. However, in 2017, then newly- elected President Duterte uttered three rape jokes in three different public events and was defended by two kinds of apologists: Presidential Spokespersons and Pro-Duterte social media supporters. Objectives: This study explores how official and social media apologists defended the President through various positions that ascribed him the right to make rape jokes, the Filipino people as having the duty to accept rape jokes, and women as having the duty to accept being the object of rape jokes. Methods: Using a sample of official government statements and public Facebook posts, major storylines and positions in the defense were identified and the implications of these were discussed. Results: There were six ways that President Duterte was positioned as to have certain rights that justified his use of a rape joke. Individually and collectively, these ultimately provided President Duterte the right to make a rape joke while placing the duty on citizens to allow President Duterte to excuse his rape joke. Conclusions: Knowing how President Duterte and citizens were positioned to make and accept rape jokes would enable society to challenge these positions and construct counter-positions that will defend women against rape jokes.

Keywords:Apologists, Duterte, Rape, Rape Joke, Positioning, Social Media.

Abstract:Based on current research, obstacle detection using a combination of cameras and laser line generators is becoming increasingly popular in the field of robotics and autonomous vehicles. This technology allows for the accurate and efficient detection of obstacles in real-time, which is critical for the safe operation of these systems. Various approaches have been proposed in recent years, including the use of stereo cameras, laser range finders, and line-scan cameras

Keywords:Autonomous Vehicles, Computer Vision, Edge Detection, Machine Learning

Abstract:Resource allocation for device-to-device communication is an important area of research in the development of next-generation communication systems. One promising approach for this task is the use of Bertoni algorithm, which has been shown to be effective in optimizing resource allocation for wireless networks. In this study, we propose to apply Bertoni algorithm to allocate resources for device-to- device communication in next-generation systems. The proposed method is designed to enhance the efficiency and reliability of device-to-device communication, thereby improving overall network performance. The proposed method has the potential to enable a range of new applications and services in the field of mobile communication. The results of our study suggest that the Bertoni algorithm can be an effective tool for resource allocation in device-to-device communication systems.

Keywords:D2D – device to device communication

Abstract:Finite Automata(FA) is an ideal abstraction of a machine that is tasked with evaluating input to make a simple decision of either accepting or rejecting it based on the rules that govern the FA. FAs are capable of modeling a wide variety of theoretical and logical real-world aspects, integrating blockchain technology [2] to enhance FA applications[3] and improve their practicality by enabling them to overcome the innate finite and volatile nature of FAs is the goal of this paper. Additionally, blockchain provides benefits such as security via distribution and encryption, and lineage tracking. The transitive nature of FA provides the basis for the use of blockchain technology. Exploration of a model that enables the use of blockchain in parallel with a FA to evaluate passwords, specifically one-time passwords (OTP) to illustrate a potential application is the secondary goal. OTPs are promising as they can be considered strings of fixed length unlike other types of passwords. Engraving user data into generated blocks along with the transitions from the default FA password evaluation which will be network processed and updated reduces the probability of malicious attacks.

Abstract:This research paper investigates the optimal angle for introducing a bypass jet in rocket engines for thrust vectoring. Numerical simulations using a finite-volume method were performed to test a range of bypass jet angles and their effect on flow performance. Results indicate that the optimal bypass jet angle is between 40 and 50 degrees, with larger angles leading to decreased thrust. These findings demonstrate the potential for bypass jet introduction to improving thrust vectoring in rocket engines, especially in the supersonic regime. Such insights may inform the development of more efficient and effective rocket engines for various applications, including satellite launches, space exploration, and defense. Overall, this study represents a valuable contribution to the field of rocket propulsion and may drive advances in engine design and performance.

Keywords:Nozzle; Thrust vectoring; CFD; Computational Analysis; BDTN; Bypass nozzle

Abstract:Collaborative intelligence and collaborative talent management represent emerging concepts in the dynamic landscape of business. The significance of collaborative talent management cannot be overstated, as it has become a pivotal approach for augmenting performance, fostering innovation, and improving efficiency using across various sectors. Concurrently, the notion of collaborative intelligence quotient (CIQ) is a developing area of research that holds the potential to inform and revolutionise talent management practices through the perspectives of neuroscience and in the context of Industry 5.0. At its core, collaborative intelligence embraces fundamental principles of cooperation, coordination, and open communication. By embracing these principles, organisations can strengthen their ability to navigate the intricacies of the contemporary business environment while simultaneously enhancing diversity, performance, innovation, and efficiency. This paper adopts a narrative literature review methodology to underscore the significance of collaborative intelligence and collaborative talent management in tackling challenges and fostering a competitive advantage across diverse sectors. Furthermore, the paper critically analyses and disseminates various potential avenues for future research, as depicted in Figure 1. Future researchers are encouraged to deepen the understanding of collaborative talent management by examining interdisciplinary barriers, digitalisation, leadership styles, performance measurement, and cross-sector collaboration. These research avenues hold the potential to advance the field of collaborative talent management and contribute to its continuous evolution. It underscores their importance and outlines future research opportunities, shedding light on the transformative potential of these concepts in fostering organisational success and competitive advantage using artificial intelligence and across various sectors.

Abstract:Real-time object recognition and classification of objects through static data-frames is implemented in this work. This is a promising sector to implement innovative ideas related to computer vision applications. Visually impaired individuals undergo difficult situations while recognizing and processing visual information in a state of chaos, such as a crowded bus stop. There are hardly any aids for the visually impaired people that will help them classify between buses specifically. The idea of personal help can be held under consideration but that is not always liable and viable. The paper proposes an idea for the detection of bus routes for blind people for real-time surveillance and to provide possible destinations. The implemented methodology consists of six major steps to set-up and deploy Identifying the buses to be given information regarding the routes using a feature descriptor or edge detection algorithm, using SIFT algorithm to initialize descriptors, or instantiating key points using ORB(Oriented fast and Rotated Brief) classifying the vehicles within the ‘bus’ or ‘non-bus’ labels, determining the route based on the code present on the bus, saving our output route into a text format file, which will be followed by providing the text file to third-party software which gives an audio output of the model’s classification and routes. The solution we proposed in this work is distinct and competent as compared to the other pre-existing. The performance measures of the implemented solution virtually reached 93.98% accuracy on input test data of bus classification and 99.99% in route classification through the tokens present on the buses.

Index Terms:Computer Vision, Clustering, K-Means, KNN, Logistic Regression, Object Detection and Classification, ORB, Object Classification, SIFT, SVM, Random Forest.

Abstract: UNESCO refers to 'digital heritage' as unique resources of human knowledge and expression "created digitally or converted into digital-form from existing analogue resources". With the development of new technologies and availability of cultural heritage images in digital formats. Artificial Intelligence is another useful tool for preventing cultural heritage. In Cultural Heritage field, to the possibility of successfully applying image processing AI techniques to the analysis, restoration, archiving, and preservation of artwork. In this proposed research work we are trying to digitally preserve and restore the murals recovered from cultural heritage sites. In this paper we have used OpenCV in Python to restore historical paintings. For this study most famous paintings of Ajanta Caves 1 are selected. In this paper we have demonstrated the restoration of damaged image of Bodhisattva Padmapani from cave 1 at Ajanta monastery. We have used methods like Denoising, Gray Scaling, Thresholding, Dilation etc

Abstract: This journal discusses the relationship between nutritional status and anemia in pregnant women. The population is pregnant women who come to visit the Toraja Health Center as many as 47 people, using the Purposeive Sampling method. The results of this study were obtained by the value of ρ = 0.001 < α = 0.005, thus there is a relationship between nutritional status and anemia in pregnant women. In this study it is expected that pregnant women can pay attention to intake and regulate eating patterns supported by health workers, especially midwives so that the incidence of anemia can decrease in the Tana Toraja Regency area.

Abstract: Coronavirus Disease 2019, also known as COVID-19, is an infectious disease caused by the Severe Respiratory Syndrome Coronavirus-2 (SARSCoV-2) virus. Indonesia has the highest number of COVID-19 cases in southeast Asia. The Indonesian government reports 4.966.046 (64.718 new) confirmed COVID-19 infections as of February 16. Studying the SARS-CoV-2 genome is essential in monitoring virus transmission and the emergence of new viruses because certain variants may have different characteristics and uniqueness that have the potential to affect transmission, as well as diagnostic, vaccine and therapies performance.

Objective: Regarding the third wave of COVID-19 in Indonesia, we sought to examine the dynamics of the SARS- CoV-2 variant circulating throughout this period in South Sulawesi.

Keywords: COVID-19; mutation; clades; lineage; whole-genome sequencing (WGS).

Abstract: Early identification of delayed growth and development in children plays a crucial role to initiate early and appropriate intervention for better child health outcomes. Implementing manual tools for deviation assessment is time consuming and inefficient prompting the adoption of digital system as an alternative. This study aimed to create a web-based application for early examination of growth and development in children aged 0-72 months. Waterfall Software Development Life Cycle method was employed for system development. The stages consist of analysis, design, implementation, testing and deployment. The contents of application refer to the guideline issued by Indonesian Ministry of Health, namely SDIDTK, including screening tools of growth problems, development pre-screening questionnaire (KPSP), hearing test (TDD), vision test (TDL), mental emotional problems questionnaire (KMME), checklist for autism Toddler (CHAT), and Attention deficit and hyperactivity disorders (GPPH). The system displays the result of assessment, conclusion and intervention. A 3-weeks deployment involving 22 health cadres (co-workers) in a primary health care proved that the application was accepted and successfully work as expected. Features improvement and intelligent system integration are suggested for further study.

Keywords: Web-based application, early detection, child, growth and development

Abstract: Sleep is one of the basic needs that is essential for optimal health. However, nursing students often suffer from changes in sleep patterns. One factor contributing to these changes includes accessing social media before bedtime. This study was conducted to investigate the relationship between social media use and sleep quality in nursing students. Two hundred twenty-five nursing students from Department of Nursing Universitas Brawijaya Malang, Indonesia were recruited for this cross-sectional study. A modified social media use questionnaire and the Pittsburgh Sleep Quality Index (PSQI) were used to assess social media use and sleep quality, respectively. Among the nursing students, 102 (45.3%) used social media for 7 hours per day, and 145 (63.3%) had poor sleep quality. Further analysis showed that time used to access social media correlates positively with the number of social media accounts. The Spearman Rank analysis showed a significant relationship between social media use and sleep quality (p-value 0.000; r 0.786). In conclusion, the higher the social media use, the worse the sleep quality in nursing students. Students must limit the duration of using social media to be reasonable and pay more attention to the fulfilment of sleep that suits their needs.

Keywords: Keywords—Social media use, sleep quality, nursing students

Abstract: Central Mindanao University is committed and active in achieving SDG number four on quality education for all. The project is aimed at developing the capability of the faculty of PCHS in advancing agriculture and development in the country. Specifically, this study aimed to identify the Socio-demographic characteristics; determine technical services needed by the faculty members of Pangantucan Community High School and enumerate problems met by the faculty members and the school teaching agriculture subjects. Data were gathered through survey questionnaire personally administered to the 15 respondents who were agriculture faculty members of PCHS and were interviewed in their School at their most convenient time. Descriptive statistics and PRA tools were employed. Results revealed that Faculty members were young, have experiences in farming, College graduate, land owners. Technical services needed were on Goat and Sheep production, Poultry Production and Management, Swine Production and Management, Cattle Production and Management. Materials and other extension techniques were employed in the project. The extension project strengthened the public and private partnership between Central Mindanao University and Pangantucan Community College. CMU- College of Agriculture provided technical knowledge to PCHS faculty member. Sheep, Instruction Materials, Cacao Seedlings, Coffee and assorted fruit trees were provided to PCHS for School purposes. Problems met includes the insufficient linkages, funding and other technical services to improve the competency and skills sets of the teachers were identified. The active participation of school administration and the faculty members can contribute in economic and holistic social development of faculty members, students and their respective communities. The Public and Private partnership would lead to empowerment of the teachers and students to become globally competitive through the provision of appropriate technologies and relevant information.

Keywords: Public Private Partnership, Extension

Abstract: This study assessed the level of Non-Financial Performance among livestock and poultry agribusiness firms in Northern Mindanao, Philippines and ascertained the significant role of organizational size. The study employed complete enumeration and used the responses of 307 farm workers in the provinces of Bukidnon, Misamis Oriental, Misamis Occidental and Camiguin Island. Descriptive-correlational research design was employed to accomplish the research objectives. Pre-tested questionnaire with Cronbach alpha of 0.979 was used to gather the data through personal interview. Descriptive statistics was used to describe the organizational size measured in terms of the number of employees and the level of non-financial performance among agribusiness firms. Analysis of variance (ANOVA) plus a post hoc test was performed using the Tukey test to assess the significance in the difference of the level of non-financial performance with respect to organizational size. Results revealed that the level of non-financial performance is high. Non-financial performance of livestock and poultry agribusiness firms significantly differs when grouped according to organizational size. It is recommended that multigroup comparison can also be made between micro, small, medium and large firms and between other agribusiness sub-sectors (cereal crop, fruit crop and vegetable crop production and processing; cooking oil production, sugar, starch and coffee production and processing).

Abstract: This study assessed the promotion strategies employed by the program implementers on the adoption of organic rice farming practices in the Province of Bukidnon, Philippines. The objectives are as follows: 1) determine the promotion strategies employed by the program implementers on organic rice farming practices. 2) determine whether the farmer-adopters’ level of adoption on organic rice farming practices is significantly influenced by the promotion strategies employed by the program implementers. Two hundred five (205) farmer-adopters from ten selected municipalities in the Province of Bukidnon served as respondents of the study. Descriptive statistics using mean and multiple regression analysis were used to analyze the data. The strategies were grouped according to individual contact methods, group contact methods, mass media methods, and other methods which comprised of production support services, extension/education support services and establishment of organic farmers’ market. Results revealed that program implementers employed effective promotional strategies. The promotion strategies employed by the implementers significantly influenced the farmer-adopters’ level of adoption. The government may intensify its promotional strategies to encourage and convince more farmers to adopt organic rice farming practices.

Keywords: Promotional Strategies, Adoption, Farming Practices

Abstract: Central Mindanao University is one of the leading universities in the Philippines in the field of agriculture and other allied fields. The university is mandated to perform the fourfold functions in instruction, research, extension, and production (Section 2 of RA No. 4498). However, technology transfer through commercialization remains a cloudy realization. To add to the concern, the Philippine Technology Transfer Act of 2009 was enacted to push this endeavor. Thus, Central Mindanao University Agri-Aqua Technology Business Incubator (CMU-ATBI) was created in collaboration with the Department of Science and Technology -Philippine Council for Agriculture Aquatic and Natural Resources and Development (DOST-PCAARRD) as the funding agency. The purpose of this study is to determine how CMU-ATBI has contributed to bridging the gap between research outputs and technology transfer. The study used the case study method which utilized the project’s progress report and interview of the project staff as the sources of data. Findings revealed that CMU-ATBI has contributed to the technology transfer initiatives of the university as evidenced by the twenty-three (23) start-ups adopting the technologies and four (4) spin-off businesses where the inventors commercialized their own generated technologies. Further, through CMU-ATBI an environment conducive to technology transfer activities was created

Keywords: technology commercialization, business model, start-ups, technology business incubation

Abstract: This study primarily aimed to describe the current state of marketing situation of corn farmers in Kiorao, Kibawe, Bukidnon. Specifically, it sought to establish the profile of corn farmers; describe the marketing practices of corn farmers; identify the marketing channels of the corn grains; and determine the constraints and challenges in their marketing operations. The study had a complete enumeration and used the responses of 31 corn farmers. Descriptive research design was employed to attain the objectives of the study. Primary data were collected through a self-structured survey questionnaire and Focus Group Discussion (FGD). Qualitative analysis of data was done by synthesizing the narrative of the respondents. Quantitative analysis of data was conducted through frequency counts, percentages, and means. Corn farmers sold their commodity as corn grains. Majority of them perform post-harvest and value adding activities which includes shelling and drying. Then, corn traders picked up the corn grains from the farmers. Corn farmers incur high costs of labor and transportation in bringing the commodities from farm to barangay. Other challenges include low buying price, poor road condition, high costs of inputs, lack source of capital, and limited availability of solar dryers.

Keywords: Marketing practices, Corn commodity, marketing assessment

Abstract: Online gaming, particularly video games, is a popular leisure activity. Matchmaking is crucial in e- sports and online gaming as it directly affects player satisfaction and the longevity of gaming products.  A proposed solution to address unequal matchmaking in online gaming is to establish a performance-driven system. This study uses the Las Vegas Algorithm (LVA) for player selection and K-Nearest Neighbor (KNN) for categorizing and classifying player performance data. This study proposes a hybrid algorithm for online game matchmaking that combines LVA and KNN. The hybrid approach includes improvements such as data classification, runtime optimization, and increased success probability. The study used a dataset of 80,000 raw data and 32 variables that underwent Mutual Information-Based Feature Selection. The study showed that using LVA and KNN together improved data categorization and classification, and a greater probability of success. However, the hybrid algorithm had a longer runtime compared to the Las Vegas algorithm. The hybrid algorithm necessitates an initial data categorization phase prior to selecting players randomly. The existing algorithm disregards player performance when identifying them. The hybrid algorithm takes longer to execute due to the extra computational steps needed for data categorization, which are not present in the current algorithm. Despite its drawback, the hybrid algorithm can enhance player selections by integrating performance rates into the categorization process.

Keywords: hybrid approach, k-nearest neighbor, las vegas algorithm, mutual information-based feature selection, online game Matchmaking

Abstract: This paper attempts to modify the Content-Based Filtering Algorithm (which is one of the known algorithms in Recommender Systems) using the Levenshtein Distance for Art Recommendation System. Recommender Systems are vital in today’s age since there is so much information available on the Internet, and these systems are the ones in charge of filtering these massive amounts of data to fit your interests. This paper focuses on one drawback of the algorithm which is “Overspecialization”, that is when the algorithm recommends items to the user that are very much similar to the user’s previous activities. The Researchers gathered the data from data.world which consists of different information about each artwork and its artist. The findings imply that the use of the modified algorithm has improved in comparison to the original. Just like the original Content-Based Filtering, it suggests to users artworks that are based on their previous interests, but it also recommends fresh and familiar types of artworks that may expand the user’s interests.

Keywords: hybrid approach, k-nearest neighbor, las vegas algorithm, mutual information-based feature selection, online game Matchmaking

Abstract: The objective of the research work is to develop a technological system of floating cages in the sea for the culture of marine fish within the coast of Ilo. The research method is experimental, applied approach, the process is constituted by a marine cage system which includes the analysis of climatic conditions, oceanographic conditions, legislation, adequate environment and conditions suitable for the development of the project; to then design the prototype to operate the floating sea cage. The preliminary results through the study "Development of technical capacities for the cultivation of Corvina "Cilus gilberti" in the province of Ilo, Moquegua Region" through which the culture cages were installed approximately 1.2 km from the coast in front of the beach "Piedras Negras" north of Ilo in which juvenile corvina were planted. The design and construction of the marine cage for fish culture was appropriate because the materials used are in the optimal quality range, after submitting them in the simulations; you have fish in preliminary growth in the marine cages designed and built for fish culture; and finally, the maintenance of the cages was technically manageable, because it allows periodically its evaluation and maintenance.

Keywords: Culture; floating cage; marine fish, brackets; dead; HDPE tubes.

Abstract: This study aimed to determine the influence of generic strategies as moderated by the business size towards the competitive advantage among agribusiness micro, small and medium enterprises in Bukidnon. The study employed a descriptive correlational design using a survey and data collection from 125 owners or managers of agribusiness enterprises in Malaybalay, Maramag, Quezon and Valencia, Bukidnon. Quantitative analysis was conducted through frequency counts, percentages, means, ANOVA, multiple regression, hierarchical regression and split sample analysis. Most of the agribusiness enterprises included in the study are classified as micro enterprises with 1-9 employees, operating for less than 3 years, categorized into sole proprietorship and are engaged into trading activity. These agribusiness enterprises are competitive and moderately implemented the generic strategies such as cost leadership and market focus. While, differentiation strategy was very much implemented. However, only differentiation and cost leadership generic strategies significantly influence the competitive advantage of agribusiness enterprises. The level of generic strategies implementation as moderated by business size does not significantly influence the competitive advantage of agribusiness micro, small and medium enterprises in Bukidnon.

Keywords: Generic Strategies, Agribusiness Sector, Competitive Advantage, Business Size

Abstract: This study assessed the effectiveness of KEDP, CHLCPP component of the Philippine Coconut Authority in Bukidnon, Philippines. It focused on two municipalities, Kibawe and Damulog, and used a descriptive research design to identify the socio-demographic profile of the farmer beneficiaries, and level of attainment of project objectives. The study identified 140 respondents with the help of the PCA Region X. A descriptive statistic with the use of mean was used to identify the socio – demographic profile of the respondents and their level of attainment to the project objectives. A paired sample t – test was used to identify the change brought about by the project after the implementation. Results showed that there were more females than males, farmers with more than 20 years of farming experience, mostly Roman Catholics, Cebuanos, high school level as their highest educational attainment, and owns the land they are tilling. The study also found that the respondents had a very much attained perception of relevance, effectiveness and sustainability of the project objectives and to the specific objectives. In the case of Kibawe, Bukidnon, ROI, ROA, GPM and NPM was considered statistically significant while on Damulog, Bukidnon, ROI, ROE, GPM and NPM were statistically significant. Problems were encountered during the implementation of the project, such as proper needs assessment, insufficient budget, expensive labor cost, poor monitoring and limited market linkage. It is recommended to do a proper needs assessment to properly identify the needs of the community and a comprehensive impact assessment to identify any setbacks of the current project.

Keywords: Generic Strategies, Agribusiness Sector, Competitive Advantage, Business Size

Abstract: This study presents novel enhancements to the Backward Feature Elimination (BFE) method for improved insurance fraud detection using the K-Nearest Neighbor (KNN) algorithm. The research addresses issues inherent in the baseline BFE process, such as the over-reliance on p- values, the potential for misleading results, and suboptimal feature selection leading to overfitting. To address these, the study integrates confidence intervals and feature importance into the BFE process, establishing a more robust and reliable criterion for feature selection. Moreover, feature engineering techniques are introduced during preprocessing to enhance model performance. The modified BFE method demonstrates superior performance over the baseline model regarding the recall, precision, and F1 score. In addition, Stratified K-Fold Cross- Validation, ROC-AUC Score, and Coefficient of Variation (CV) confirm the consistency and robustness of the enhanced model across varying data subsets. These innovations offer a comprehensive and reliable solution to feature selection in the BFE method, applied to the KNN model for effective insurance fraud detection. The study mitigates the issues related to p-value dependence and boosts model performance, paving the way for more accurate and robust fraud detection systems.

Abstract: The therapeutic yoga or yogatherapy has great benefits for people, since its practice improves mood, emotional balance, quality of sleep, among others. Social isolation as a result of the pandemic produced by COV-SARS-2, led to a considerable increase in cases of family violence, affecting people's mental health and increasing stress levels. The objective of the article was to determine the benefits of therapeutic Yoga in reducing stress in the elderly at the Center for the Elderly of Ica. The study was of a quantitative approach, applied type, application level, quasi-experimental design, it had a sample made up of 28 older adults from CAM, divided into an experimental group (14) and a control group (14). Characterization variables such as age, sex, marital status, cohabitation and others were analyzed; A questionnaire made up of 20 items with a Likert-type scale was used, as a result a p-value of 0.000 was obtained in the post-test, demonstrating significant differences between the experimental group and the control group. It is concluded that the application of therapeutic yoga contributes to the reduction of stress in the elderly.

Abstract: Authentication systems based on biological features have gained significant attention due to the increasing importance of security and privacy. Electroencephalograms (EEG), which measure brain signals, are commonly used in Brain Computer Interface (BCI) systems for authentication purposes. Deep learning techniques, particularly Convolutional Neural Networks (CNNs), have enabled the generation of artificial EEG signals and have been extensively studied for improving their quality. Among the various Generative Adversarial Network (GAN) architectures, Wasserstein GAN with Gradient Penalty (WGAN-GP) is preferred due to its stability in training, preventing mode-collapse and achieving successful convergence. This study utilized the BCI Competition IV Dataset 2a and applied data preprocessing techniques such as Trimming, Normalization, Cropping, Subsampling, and Continuous Wavelet Transform. The preprocessed data was then used to train a WGAN-GP to generate artificial EEG signals. A CNN model was subsequently employed to classify real and artificial EEG data, achieving an impressive accuracy of 96% on the training data and 92% on the testing data on subject 5. The CNN model exhibited promising performance with low training loss (0.8551) and validation loss (1.2670), this shows its effectiveness in accurately distinguishing between real and fake EEG signals.

Keywords: Electroencephalogram (EEG), Wasserstein GAN with Gradient Penalty (WGAN-GP), Convolutional Neural Networks (CNN), Artificial EEG signals, Brain Computer Interface (BCI)

Abstract: The potential value of bamboo is underscored in the Philippines, though it is abundant in the country. This tall grass was mostly found in different provinces of the country and is now widely used in different ways in creating furniture and souvenirs. As the City of Alaminos embraces technologies to produce engineered kawayan products, the success of revolutionizing process depends on how it will be known to everyone. As most consumers go online, the internet is a big factor that would be best as a marketplace in any business. This paper aimed to present a discussion of integrating e-commerce platforms to sustain the bamboo industry in the city providing ways of buying bamboo products by its client over the internet. This study was based on a developmental and descriptive research approach to come up with a good design for the e-commerce platform of the factory, hence a system usability test was conducted through a survey questionnaire given to different expected users of the system. The use of the Internet will be a great factor in the marketing strategy of the factory, which will eliminate the distance between the customer and the factory. The creation of an online store gave the factory an opportunity to compete in the world of business.

Keywords: bamboo products, e-commerce, engineered kawayan