Authors - David Livingstone T. Ramos, And Julie D. Rosal, Randy Joy M. Ventayen, Timothy Joshua M. Ventayen Abstract - This study look into the practical acceptance and compliance of AI-generated music on major digital distribution platforms, including Spotify, Apple Music, and other popular online music stores. Leveraging advanced generative AI tools such as Udio and Suno, the researchers created original musical tracks and submitted them for distribution. Although many platforms have explicit policies against the use or upload of AI-generated content, all tracks produced through these tools were accepted without issue and made publicly avail-able through the distribution systems. This outcome reveals critical gaps in the enforcement of platform policies, raising serious questions about the current ability of digital platforms to detect and regulate AI-generated content. The findings bring to light the ethical, legal, and economic challenges posed by the growing presence of generative AI in the music industry. In response, the study recommends the implementation of more robust detection technologies, trans-parent labeling of AI-generated works, and the development of consistent regulatory frameworks to address the complexities of AI-driven creativity in the evolving digital music ecosystem.
Authors - Masood Ahmed Shariff, Sushma R Abstract - In today’s complex financial environment, identifying optimal stock investments is challenging. This study applies Multi-Criteria Decision-Making (MCDM) techniques to evaluate NIFTY 50 stocks using nine financial indica-tors, including returns, P/E ratio, dividend yield, and market capitalization. Daily data from April 2020 to March 2025, sourced from the Prowess database, was analyzed. The Entropy Weighting Method ensured objective assignment of metric importance. Four MCDM models—TOPSIS, VIKOR, SAW, and COPRAS—were used to rank stocks. Ranking discrepancies led to the development of a hybrid model combining normalized ranks with entropy-based weights, creating a composite ranking. Spearman’s rank correlation helped compare the models. The hybrid approach enhances ranking consistency and supports data-driven investment decisions. This methodology can also be ap-plied to sectoral or global equity markets, offering a flexible tool for portfolio evaluation and financial analysis.
Authors - Tawsif Hasan Kirkire, Smita Mehendale, Ashish Thatte Abstract - This paper is bibliometric analysis of the academic literature related to e-commerce platforms within the chemical supply chain. From the 17 documents published between 2000 and 2025, this study identifies inconsistent, but off late accelerating, research journey, with a notable rise in publications and citations post-2020, most likely influenced by the global imperative for digital transformation. Co-word analysis reveals "electronic commerce" as a central thematic node, connecting traditional "sales" and "chemical industry" applications with emergent areas like "learning systems" and "chemical activation." The analysis highlights China's dominant intellectual contribution, suggesting a concentrated epistemic center. Inspite of recent contributions from diverse sources, the field displays significant temporal and thematic gaps, particularly regarding sustainability and resilient practices, alongside a uneven collaborative network. This study outlines critical future research directions, promoting for the integration of AI/ML applications, exploration of chemical manufacturing, diversification into Global South economies, and the adoption of enhanced methodological rigor to foster a more mature, interconnected, and impactful interdisciplinary research domain.
Authors - Juanito P. Maneclang Jr. Abstract - The Philippine salt industry, particularly in culturally significant regions like Pangasinan, has faced a steep decline due to a reliance on antiquated, laborintensive production methods. This study addresses this challenge through a three-part objective-driven approach: (1) identifying the technological gaps in artisanal salt production through a comprehensive literature review and needs analysis; (2) developing a prototype salt vibrating screen classifier with an integrated grinder to address these gaps; and (3) evaluating the prototype's acceptability among experts and end-users. The methodology involved a systematic re-view of academic and industry literature, which pinpointed a lack of appropriate-scale post-harvest machinery. A prototype, fabricated from stainless steel and powered by a 5-horsepower motor, was subsequently developed. The machine's acceptability was determined through a mixed-method evaluation with technical experts and salt farmers. The results from the evaluation demonstrated high acceptability, with participants confirming the machine's robust performance, efficiency in grinding and classifying salt, and significant practical advantages over traditional methods. The study concludes that the developed prototype is a highly acceptable and viable technological solution that directly addresses the needs identified in the literature, offering a means to enhance productivity and quality for Filipino salt farmers.
Authors - R. Komala, B. R. Arun Kumar, A. Shreyas Abstract - Service Level Agreements (SLAs) are essential for defining performance and compliance expectations in cloud computing ecosystems. However, traditional SLA models often lack adaptability, failing to address dynamic workloads, evolving regulatory demands, and rising cybersecurity threats. This study presents an adaptive SLA governance architecture driven by Machine Learning (ML), enabling predictive violation detection, real-time compliance monitoring, and dynamic policy adjustments. The system integrates legal frameworks such as GDPR, ISO/IEC 27001, NIST, and India's DPDPA, embedding enforceable standards into SLA logic. Our framework employs ML techniques including violation forecasting, unsupervised anomaly detection, privacy risk quantification, and NLP-based clause synthesis, creating self-adjusting, legally resilient SLAs. In simulations with cloud workload datasets, the system achieved 94% prediction accuracy for SLA breaches, 98% anomaly detection, and over 91% success in automated clause alignment. While promising, broader testing in real-world deployments is needed to validate generalizability. This framework bridges regulatory obligations and dynamic service delivery through explainable, transparent SLA orchestration.
Authors - Akshay Kumar, Sudhir Agarmore, Kumar Gaurav, Edidiong Akpabio, Akshat Jha Abstract - Cyber threats now come in an advanced form and, therefore, call for a proactive rather than a passive cybersecurity strategy. Threat intelligence helps to complement security defences through methodical acquisition, analysis, and utilization of information regarding competitors and new risks. This article gives an insightful review of the approaches to threat intelligence, covering open-source intelligence (OSINT), closed-source intelligence, monitoring of the dark web, and live feeds of intelligence. We classify threat intelligence into strategic, tactical, operational, and technical levels, explaining their functions in cyber security architectures. Particular emphasis is given to the incorporation of artificial intelligence (AI) and machine learning (ML) in the automation of threat identification and intelligence analysis. In addition, we address challenges of implementation, including data glut, verification, and ethics. To provide real-world practicality, we examine actual case studies demonstrating practical threat intelligence implementations in reducing ransomware, blocking phishing, and countering supply chain attacks. We also recommend enhancing intelligence sharing, predictive analytics, and automation to strengthen future threat intelligence systems. Through the integration of dynamic threat intelligence into security operations, organizations are able to effectively detect, analyze, and block cyber threats beforehand, ultimately fortifying their cybersecurity resilience as a whole.
Authors - Romary Reyes Lincod Abstract - This paper provides an review of the pedagogical practices and governance perspectives related to technology integration in Philippine State Universities and Colleges (SUCs). The global pandemic served as a catalyst, accelerating a system-wide shift from emergency remote teaching to a strategic push for sustained flexible learning, underpinned by national policies from the Commission on Higher Education (CHED) and cross-agency collaborations. However, a significant gap persists between ambition and institutional reality. This review examines four key domains: institutional governance and leadership, pedagogical practices in the digital classroom, the human element of faculty and student experiences, and the foundational pillars of infrastructure and finance. Findings reveal a governance paradox where strategic planning is robust, but leadership needs to translate vision into faculty competency. Pedagogically, technology adoption outpaces deep integration, with tools often used to replicate traditional methods. Faculty and students are caught in a "Cycle of Unpreparedness," marked by skill gaps, anxiety, and infrastructural barriers. Foundational weaknesses, including a pervasive digital divide and unstable funding models, create a mismatch between the vision for digital transformation and the capacity for implementation. The paper concludes with multi-level strategic recommendations for policymakers, SUC administrators, and future research, aimed at creating a more resilient, equitable, and innovative digital education ecosystem.
Authors - Caren C. Orlanda-Ventayen, Renato E. Salcedo Abstract - The tangible heritage of a region, particularly its textile traditions, of-ten serves as a primary marker of its cultural identity. This literature review studies the role of fabric arts in the cultural expression of Pangasinan province in the Philippines. A systematic review of historical backgrounds, cultural publications, and recent news archives reveals a notable absence of a deeply rooted, continuous, and widespread indigenous textile weaving tradition for clothing in the province. Historically, Pangasinan's material culture was characterized by non-textile crafts and a reliance on imported fabrics obtained through extensive trade networks. This historical context makes the contemporary situation particularly compelling. As of mid-2025, Pangasinan is the site of new, institution-ally-driven initiatives aimed at establishing a local textile industry. These projects are twofold: a technology-focused hub for developing bamboo-based textile fibers and a culturally-focused center for reviving the transplanted hand-loom weaving traditions of Cordilleran migrant communities. This paper argues that Pangasinan is not merely preserving a dormant craft but is actively designing a new and evolving cultural identity in fabric, one that is uniquely shaped by the confluence of technological innovation, cultural migration, and institutional support. The findings suggest that Pangasinan offers a unique case study in the contemporary construction of cultural heritage.
Authors - Claro S. Sison Jr. Abstract - The rapid shift to remote education has compelled a significant trans-formation in the teaching methodologies for technical subjects like AutoCAD. This paper investigates the technological interventions implemented by Auto-CAD instructors in response to the challenges of online and modular learning environments. The study adopts a mixed-methods approach, beginning with a systematic literature review to identify prevalent challenges and technological solutions documented in academic and technical sources. This is followed by a local survey of 30 AutoCAD teachers in the Schools Division of Pangasinan I, Philippines, to assess the available technological resources, their utilization rates, and the specific challenges faced in a developing country context. Key findings from the literature indicate that while a plethora of advanced software, platforms, and tools are available, their effective implementation is often hindered by issues such as the digital divide, lack of institutional support, and the inherent difficulty of teaching hands-on skills remotely. The local survey corroborates these findings, revealing a heavy reliance on personal resources, unstable internet connectivity, and underutilization of advanced CAD-specific tools. The study reveals that successful interventions often involve a blend of synchronous and asynchronous technologies, including video tutorials, cloud-based CAD solutions, and virtual reality simulations. A strong positive correlation (r = 0.785) was found be-tween the level of technological intervention and teachers' perceived instructional effectiveness. This research concludes by synthesizing the findings to provide a holistic view of the current state of AutoCAD education, offering recommendations for educators, institutions, and policymakers to enhance the quality of technical instruction in remote settings.
Authors - Corlito P. Cruz Abstract - The proliferation of portable computing devices has historically been accompanied by an equally diverse and incompatible array of proprietary power adapters, creating significant issues for consumers and contributing to a growing electronic waste crisis. This scientific review charts the rise of the USB integrated laptop charger adapter as a pivotal solution to this long-standing issue. It presents an in-depth analysis of the technological underpinnings, centered on the USB Power De-livery (USB-PD) specification, that enable a universal charging standard. Key enabling technologies, most notably the material science advancements of Gallium Nitride (GaN) wide-bandgap semiconductors, are analyzed for their role in creating a new generation of compact, highly efficient, and intelligent power adapters. To ground this technological analysis in practical application, this paper further presents a targeted case study involving a survey of Bachelor of Industrial Technology (BIT) students to identify tangible user needs. The results of this survey, which indicated a strong demand for integrated USB ports on laptop chargers, led to the development of a functional proof-of concept prototype, validating the broader market trends dis-cussed. The paper examines the technical evolution of the USB-IF standards, the current technoeconomic landscape, and the persistent challenges in engineering and usability, including protocol fragmentation and safety compliance. Finally, this re-view looks to the future, assessing the impact of the 240W Extended Power Range (EPR) of USB-PD 3.1 and the trajectory toward a truly universal and intelligent power ecosystem. It concludes that the USB-integrated adapter represents a critical, user-driven inflection point in consumer electronics, moving the industry from a fragmented past to a standardized, efficient, and interconnected future.
