http://ijaems.com/ Open Access international Journal to publish research paper en-us November Using the nest-wheel seeding device as the research object, a MATLAB-based simulation model for seeding performance was built with the goal of improving the operational efficiency and seeding accuracy of peanut hill-drop planting machinery. This model focused on the motion characteristics of the key components of the seeding device and the rules of interaction between seed groups. In order to simulate and analyze the seed hole occupancy rate, missed seeding rate, and reseeding rate during the seeding process, various operating speeds (20–60 r/min) and hole spacing parameters were set by combining the physical characteristics of peanut seeds (thousand-seed weight, geometric dimensions, and friction coefficient). With the highest seed hole occupancy rate of 93.61% and the lowest missed seeding rate and reseeding rate dropping to 1.74% and 3.79%, respectively, the results demonstrated that the seeding performance was within the ideal range when the nest wheel speed was set at 30 to 40 r/min and the hole spacing was set at 150 mm. This simulation model offers a theoretical foundation for the structural optimization of peanut hill-drop planting equipment and can accurately forecast seeding performance. http://ijaems.com/detail/based-on-the-matlab-simulation-of-peanut-nest-hole-wheel-type-planting-machinery-s-seeding-performance/ Ben Geng Wu, Hao Wang, Yong Jin Zhong, Ho Sheng Chen http://ijaems.com/upload_images/issue_files/1IJAEMS-11120251-Basedon.pdf In several fields, Convolutional Neural Networks (CNNs) have demonstrated impressive progress in recent years. However, its adoption on devices with limited resources is limited by its enormous model scale and high computational requirements. Neural network pruning in particular has become one of the most important methods for resolving this problem. The choice of importance criteria has a significant impact on pruning's effectiveness. Without systematic comparisons of numerous criteria under the same pruning ratio, the majority of the research to far has been on the proposal of single criteria or comparisons under non-strict control. Furthermore, trimming frequently results in performance loss that must be fixed through fine-tuning. The advent of parameter-efficient fine-tuning algorithms like LoRA offers a fresh approach to addressing the high computational cost of conventional global fine-tuning. It is still unknown how they work together with various pruning criteria. This is accomplished by conducting controlled experiments on the CIFAR-10 dataset to evaluate the performance of three widely used pruning criteria: L1-Norm pruning, SNIP pruning, and Taylor pruning, at pruning ratios ranging from 30% to 60%. LoRA is being methodically incorporated into the pruning recovery stage for the first time, demonstrating that it is a versatile and successful fine-tuning method that might significantly lessen the performance loss caused by trimming. Furthermore, in order to support the deployment of effective neural networks, this research offers empirical evidence for choosing suitable pruning and fine-tuning procedures for actual application objectives as seeking compression rate or accuracy. http://ijaems.com/detail/research-on-recovery-under-pruning-degeneration-using-lora-technology/ Hao-Lin Ye, Chih-Ying Chuang http://ijaems.com/upload_images/issue_files/2IJAEMS-NOV20251-Researchon.pdf “Analysis of WUP Electronics Engineers Licensure Examinations (2021-2023): Basis for a Proposed Test Bank” is a descriptive study that examines the performance of WUP Electronics Engineering (EE) examinees in four significant subjects, which are Communications Engineering, General Engineering & Applied Sciences, Electronics Engineering, and Engineering Mathematics. With an average mark of 58.8%, well short of the 75% pass requirement, and just 12 out of 80 passing, the figures show that engineering mathematics is the toughest subject. Also, with just 12 passing and an average mark of 63.8%, Electronics Engineering showed a low pass rate. Communications Engineering recorded 21 passes, against 14 pass candidates for General Engineering & Applied Sciences. The overall challenge of the licensing examinations was indicated by the absence of top scores of 95% or higher in any subject among the examinees. The researchers recommend enhancing the curriculum in Electronics Engineering, offering special support for Engineering Mathematics, and implementing practice exams and mock tests to identify areas of weakness and sharpen test-taking skills to enhance student performance. To create a good learning environment, study groups that encourage peer-to-peer collaboration are also recommended. The development of a large test bank that provides personalized practice materials specific to exam structures is at the core of these concepts, with the end goal of improving student preparedness and passing rates. http://ijaems.com/detail/analysis-of-wesleyan-university-philippines-wu-p-electronics-engineers-licensure-examinations-2021-2023-basis-for-a-proposed-test-bank/ Ryan John De Lara, Leo Ramos, John Jason Villaroman, Maria Catalina Tugaff http://ijaems.com/upload_images/issue_files/3IJAEMS-11120252-Analysisof.pdf This research explored the Internal Job Satisfaction of 50 WUP MBA Alumni Employed in the banking and lending sectors. The study discovered that respondents have moderate levels of job satisfaction with role alignment and relationships with superiors, but high levels of internal job satisfaction with regard to career advancement, working environment, and working relationships. The employees’ work contributes to the success of the company. They feel that their supervisors continuously trust them to do quality work without feeling the need to closely monitor their daily tasks, and they desire to do work that is in line with the company's missions. Employees are also enthusiastic in their relationships with others, and the organization educates them about the risks and hazards of the workplace. Finally, this research presents human resource implications and recommendations for further research in this field. http://ijaems.com/detail/internal-job-satisfaction-of-wup-mba-alumni-employed-in-the-banking-and-lending-sectors/ John Mark Bondoc, Apolinar M. Alfonso, Jelwin D. Baustista, Ali G. Mamaclay http://ijaems.com/upload_images/issue_files/4IJAEMS-11120257-Internal.pdf This qualitative study explored the lived experiences of Health Maintenance Organization (HMO) individual cardholders regarding the adequacy, accessibility, and inclusivity of their healthcare coverage and services. Using a phenomenological research design, ten participants were interviewed to capture their perceptions and experiences in availing HMO benefits. Findings revealed recurring challenges such as long waiting times, delayed billing and approval processes, and limited availability of accredited healthcare providers. These administrative inefficiencies often resulted in inconvenience, out-of-pocket payments, and decreased satisfaction. Despite these issues, participants expressed generally positive perceptions toward HMO plans, highlighting their affordability, practicality, and financial protection during emergencies. Many recognized improvements in accessibility through digitalized approval systems and more responsive service channels. Overall, the study concludes that while gaps remain in coverage inclusivity and benefit awareness, HMO membership continues to serve as a valuable complement to PhilHealth by providing financial security and promoting greater access to private healthcare services. http://ijaems.com/detail/the-lived-experiences-of-hmo-individual-cardholders-on-healthcare-coverage-and-services/ Hessah Marjonie E. Zapanta, Renaly C. Rosaria, Joshua Albert S. Gabor, Nathaniel G. Reyes, Lani D. Deada, Marmelo V. Abante http://ijaems.com/upload_images/issue_files/5IJAEMS-11120253-TheLived.pdf This study investigates the relationship between employee motivation, performance evaluation, and organizational goal achievement among Contract of Service (COS) employees in National Government Agencies (NGAs) within Quezon City, Philippines. Using a descriptive quantitative research design, data were gathered through a structured survey questionnaire administered to 100 COS employees. The results analyzed using descriptive statistics, Pearson Product-Moment Correlation, and Kruskal-Wallis Test revealed that COS employees are primarily motivated by intrinsic factors such as meaningful work, recognition, and opportunities for personal growth. A supportive work environment also emerged as a significant motivator. While bureaucracy and job security had moderate influence, these factors did not substantially reduce engagement among highly motivated employees. Performance evaluations conducted by immediate supervisors consistently indicated high levels of efficiency and competence, with most employees rated “Very Satisfactory” or “Outstanding.” The achievement of organizational goals was strongly associated with clear goal specificity, effective feedback mechanisms, and well-defined strategies, while the factor of “challenge” showed no significant correlation with motivation. A strong positive relationship existed between motivational factors and goal achievement, and employees rated “Outstanding” demonstrated greater goal commitment than those rated “Very Satisfactory.” The study concludes that government agencies should strengthen intrinsic motivators by fostering meaningful work, recognition, and professional development programs. Moreover, reinforcing clear goal setting, transparent feedback, and supportive work environments can sustain high motivation and performance among COS employees while addressing concerns related to job security and bureaucratic processes to enhance overall organizational effectiveness. http://ijaems.com/detail/contract-of-service-cos-employee-s-motivation-and-performance-evaluation-on-the-achievement-of-organizational-goals/ George S. Tamayo Jr., Princess Rosario Luciano, Kristine Sarah Ronterazo Onguda, Kristine Lumayno, Lani D. Deada, Marmelo V. Abante http://ijaems.com/upload_images/issue_files/6IJAEMS-11120255-Contract.pdf This research delved into the history of the University of Cebu – Lapulapu Mandaue Quality Management System (QMS), its implementation, the challenges faced, and the lesson learned. The QMS is necessary as compliance to regulatory requirement specifically for the Maritime Education Programs and as well as a management standard guide for everyone to attain the desired outputs of the University’s strategic direction and maintain customer satisfaction. The investigation utilized the case study method to analyze and discuss the results and impacts, challenges faced, and lesson learned of the implementation of the QMS. The researchers conducted the study through the utilization of different sources like related literatures and studies, and actual observation of internal practices and trends. The study revealed that the implementation of the QMS is consistent to the required standard; however it still faced several minor challenges in the areas of documented information and keeping of records, monitoring and measurement, analysis and evaluation, knowledge of operational processes, compliance to corrections and corrective actions, and maintaining customer satisfaction. The findings led to the conclusion that in order to minimize the challenges; the implementation of the QMS shall be strengthened through continuous coordination of the Institutional Quality Assurance office with all the other offices and to regularly refresh the personnel’s knowledge of the application of the standards and compliance to the requirements. http://ijaems.com/detail/history-and-the-challenges-of-the-quality-management-system-a-case-study/ Rey Q. Aranzado, Stephanie D. Ariego, Andrew D. Cuerda http://ijaems.com/upload_images/issue_files/7IJAEMS-109202525-Historyand.pdf The paper attempts to explore the specific mechanisms through which social media would influence the preferences and purchase intentions of rural consumers related to smartphones in the rural part of Dharashiv district of Maharashtra in India. Using a descriptive quantitative research design, primary data was collected from 120 respondents in rural Dharashiv with the help of a structured questionnaire. Based on the Diffusion of Innovation and Uses and Satisfaction Theory, three hypotheses were proposed on content credibility, peer influence and targeted advertising. These findings confirm that though Maharashtra boasts of high internet penetration, social media influence in rural contexts is activated fundamentally by Social Media Peer Influence and Content Credibility. Importantly, relationship found between general social media influence and purchase intention. This implies that digital influence, for high-value purchases, must necessarily actively address core functional concerns. These results therefore provide actionable strategies for marketers on the necessity of vernacular content localization and a focus of content on practical device longevity to connect meaningfully with the aspirational. http://ijaems.com/detail/influence-beyond-connectivity-understanding-the-role-of-social-media-in-rural-consumers-smartphone-preferences/ Dr. Suyog A. Amrutrao http://ijaems.com/upload_images/issue_files/8IJAEMS-111202511-Influence.pdf With the advent of the experience economy, the gap between products and services is narrowing. What customers now seek is personal participation to obtain a unique and unforgettable experience. This study primarily explores the relationships between experiential marketing, experiential value, customer satisfaction, and customer loyalty, using Taiwan's Creative and Cultural Parks as the research subject. Questionnaires were distributed through sampling, and the research methods mainly included descriptive statistics, analysis of variance, correlation analysis, and regression analysis. The findings indicate that in Taiwan's Creative and Cultural Parks: 1. Experiential marketing has a positive impact on experiential value; 2. Experiential marketing has a positive impact on customer satisfaction; 3. Experiential value has a positive impact on customer satisfaction; 4. Customer satisfaction has a positive impact on customer loyalty. http://ijaems.com/detail/the-relationship-among-experiential-marketing/ Ko Kuomin http://ijaems.com/upload_images/issue_files/9IJAEMS-111202512-TheRelationship.pdf Biometric recognition has emerged as a critical component of secure identity verification systems. While unimodal biometrics such as fingerprint, face, or ear recognition have been widely researched, they suffer from limitations related to noise, occlusion, and spoofing. This paper proposes an AI-driven multimodal biometric system integrating fingerprint, face, and ear modalities to enhance recognition accuracy and robustness. Using Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) for feature extraction and a fusion-based classification strategy, the proposed approach is conceptually shown to outperform unimodal systems. A literature comparison and expected results suggest that the fusion model can achieve recognition accuracy of approximately 97–98%, surpassing most existing methods. The study concludes by highlighting the potential of multimodal biometrics for real-world applications in high-security domains. http://ijaems.com/detail/ai-driven-multimodal-biometric-classification-improving-recognition-accuracy-using-finger-face-and-ear-biometrics/ Surinder Chauhan, Dr. Sher Jung http://ijaems.com/upload_images/issue_files/10IJAEMS-11120254-AI-Driven.pdf This paper presents work about spotting and stopping compressor surge as aircraft engines start. It puts forward a method using models which combines how gas flows, sound traits, and readings from electromechanical parts to guess when rotating stall and surge might occur. This includes a Start-Phase Surge Index (SPSI), a way to decide things using two levels (“hold” or “stop & motor”), and closely watched control of valves that let air out and blades that direct air. This method comes from studying conditions where things don't stay steady, the physics of why instability happens, tests of surge events, machine learning guided by models, and control using deep-RL to keep surge from happening. Basic steps and checks after repairs are added for engineers and people looking into incidents. The limitations of what can be spotted, what data is needed, and how airlines can use this are talked about. This work could keep incidents from happening, make start steps better, and teach ground support workers. http://ijaems.com/detail/methods-for-diagnosing-and-preventing-compressor-surge-of-an-aircraft-engine-during-the-start-phase/ Pavel Aleksandrov http://ijaems.com/upload_images/issue_files/11IJAEMS-1120252-Methodsfor.pdf This paper examines the lateral capacity of pile foundations embedded in layered soils. The main aim is to determine the lateral load at which the maximum bending moment occurs while keeping serviceability within acceptable limits. Piles were modelled with a fixed length of 20 m, with diameters ranging from 0.8 m to 2.0 m to examine the influence of cross-sectional size. A deflection limit of 1% of the pile diameter served as the governing criterion. Lateral capacities were initially estimated using the provisions of IS 2911, Part 1, Section 2, then verified through numerical simulations with L-Pile and Plaxis 3D software. The comparison illustrates how soil layering influences pile response, showing that increasing the diameter significantly enhances lateral resistance along the pile. The findings provide practical guidance for selecting appropriate pile dimensions in layered profiles, ensuring sufficient lateral performance and controlled deflections. http://ijaems.com/detail/evaluation-of-lateral-capacity-of-pile-foundation-in-layered-soils/ Sushil Acharya, N.P. Kaushik, Pooja Singh http://ijaems.com/upload_images/issue_files/12IJAEMS-111202515-Evaluation.pdf A concise summary of the research—introducing mobile phone towers, the expansion in Bangladesh, apprehensions regarding electromagnetic radiation (EMR), and the objective to evaluate its effects on both humans and animals. This document thoroughly analyzes existing scientific data concerning radio-frequency (RF) and electromagnetic field (EMF) emissions from mobile phone base stations (cell towers), along with their recorded impacts on wildlife (including birds, insects, small mammals, and plants) as well as humans. We examine epidemiological, experimental, and ecological research, pinpoint potential biological mechanisms (such as oxidative stress, behavioral alterations, and endocrine disruption), evaluate regulatory deficiencies, and offer suggestions for future studies and public health policies. http://ijaems.com/detail/the-hazardous-effects-of-mobile-phone-towers-on-animals-and-human-beings-a-bangladesh-perspective/ Md. Mizanur Rahaman http://ijaems.com/upload_images/issue_files/13IJAEMS-111202514-TheHazardous.pdf The article presents a systematic analysis of the factors that drive cost escalation in global supply chains under conditions of geopolitical instability. The study is based on the structuring of key risk domains—energy, logistics, manufacturing, agri-food systems, and labor resources—and on examining their interdependent impact on overall expenditures. The mechanisms through which geopolitical events translate into higher costs are analyzed, including route disruptions, resource price fluctuations, increased production delays, and declines in export flows. Particular attention is given to the comparative vulnerability of countries and industries: the analysis identifies the specific response patterns of export-oriented economies, the extent of the impact generated by system-critical states, and the domain structure of industries where primary cost pressures originate. The findings show that the cost of global supply depends on the overlay of multiple layers of risk and is shaped by the degree to which economies are integrated into international flows and by the nature of interdomain linkages. It is concluded that cost management in unstable conditions requires a systemic approach that accounts for interactions among energy, logistics, and production factors, as well as the spatial structure of the global economy. The article will be useful for researchers of global supply chains, logistics professionals, operational risk analysts, and experts focused on the resilience of international production and logistics systems. http://ijaems.com/detail/key-factors-influencing-the-cost-of-global-supply-chains-under-geopolitical-instability/ Yevhenii Shymchenko http://ijaems.com/upload_images/issue_files/14IJAEMS-1120256-KeyFactors.pdf This study assessed the market competitiveness of used car dealership businesses in Nueva Ecija using Porter’s Five Forces Model as the basis for an action plan. As a growing industry in the province, used car dealerships face several challenges brought by changing buyer behavior, increasing competition, and the rising popularity of online vehicle marketplaces. The study aimed to describe the profile of used car dealerships, determine their level of market competitiveness, and develop an action plan to help improve their business performance. The study used a quantitative descriptive research design and gathered data through a structured survey questionnaire administered to used car dealership owners and managers. The data were analyzed using weighted mean and descriptive statistics to interpret the level of competitiveness under the five forces. The findings showed that most dealerships are small, registered sole proprietorships with limited manpower and moderate sales volume. Results also revealed that competitive rivalry in the province is strong due to the presence of many dealerships, aggressive promotions, and price adjustments. Supplier power and buyer power were found to be moderate, showing that inventory sourcing and customer negotiation play important roles in business operations. The threat of substitutes was high, particularly due to online selling platforms, motorcycles, and brand-new cars. The threat of new entrants was moderate, influenced by manageable regulations and capital requirements. Based on the results, an action plan was proposed focusing on marketing improvements, supplier expansion, customer service enhancement, online visibility, and brand-building strategies to strengthen competitiveness and support long-term sustainability among used car dealerships in Nueva Ecija. http://ijaems.com/detail/assessing-the-market-competitiveness-of-used-car-dealership-business-through-porter-s-five-forces-model-basis-for-action-plan/ Christhopher C. da Jose, Kristianne F. Natividad http://ijaems.com/upload_images/issue_files/15IJAEMS-11220258-Assessing.pdf The COVID-19 pandemic demonstrated the critical frailty of the global supply chains, which necessitated the change in mindset towards resilience-oriented, rather than efficiency-oriented, supply chain. The article is a qualitative comparative literature review of disruption management models in the world to understand that technological integration, teamwork, and policy fit has enabled the strength of supply chains regardless of the pandemic. According to the research that has been indexed in Scopus, case studies within the industry, and policy reports, the study mentions that the adoption of Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, and Digital Twin technologies have led to the levels of incredible visibility, traceability, and responsiveness in industries. The case studies that feature the Unilever AI-based demand forecasting, the IoT-based cargo tracking offered by Maersk, and the blockchain-based food traceability by Walmart demonstrate how the digital technologies may be transformative. The comparisons in the region indicate that certain strategies are chosen: North America, as oriented on automation and predictive analytics, Europe, as oriented on the circle supply chains, and Asia-Pacific, as oriented on the flexible localization. In addition, these are the following types of collaboration models that became the most important facilitators of resilience: the public-private partnerships and global data-sharing consortia that allow a sense of shared responsibility and fast recovery in case of crisis. The findings show that the future of supply chain resilience is the proactive digital transformation, inclusive cooperation, and strategic integration of sustainability and flexibility. http://ijaems.com/detail/resilient-supply-chains-in-the-post-pandemic-era-a-comparative-review-of-global-disruption-management-frameworks-in-aviation-industry/ Samir Ali Syed http://ijaems.com/upload_images/issue_files/16IJAEMS-11220251-Resilient.pdf The information technology industry is placing increasing emphasis on the adoption of Enterprise Resource Planning (ERP) systems. In recent years, fuzzy decision analysis has been widely applied as an effective tool across multiple research fields, demonstrating strong practical value. In the pursuit of sustainable operation and development within the IT industry, introducing the core concept of "vitality" is crucial, as it determines whether an enterprise can achieve long-term, stable growth and maintain market competitiveness. Looking back, the efforts made by enterprises to enhance productivity and strengthen organizational competitiveness have, to some extent, revealed the driving forces behind corporate progress and upward development. However, these efforts are still insufficient to fully explain the true source of enterprise vitality—a core dynamic that fundamentally drives sustainable operations and maintains intrinsic vitality. In today's fiercely competitive and rapidly changing market environment, the competitive advantage of the IT industry increasingly hinges on the successful implementation of ERP systems and scientific enterprise management models. Based on this, this study will delve into the correlation between ERP application and enterprise vitality construction in the IT industry, as well as practical pathways, aiming to provide valuable insights for enterprises to enhance their sustainable development capabilities. http://ijaems.com/detail/a-study-on-the-dimensions-of-erp-in-taiwan-s-information-industry-using-the-fuzzy-delphi-method/ Sung-Yi Hsieh, Hsiao-Chi Ling, Chiao Chao, Ruei-Yuan Wang http://ijaems.com/upload_images/issue_files/17IJAEMS-11220259-AStudy.pdf Environmental Impact Assessment (EIA) is a key legal and policy instrument for integrating environmental considerations into developmental decision-making. In India, EIA functions as a preventive mechanism under the framework of sustainable development, aiming to balance economic growth with environmental protection. This paper presents a narrative review of the Environmental Impact Assessment regime in India, examining its conceptual foundations, legal framework, procedural structure, and implementation challenges. The study traces the evolution of EIA under the Environment (Protection) Act, 1986, with particular emphasis on the EIA Notification, 2006, and the role of judicial interpretation by the Supreme Court of India and the National Green Tribunal. The review identifies critical issues such as inadequate quality of EIA reports, limited public participation, regulatory dilution, and weak post-clearance monitoring. Recent policy debates and proposed reforms are also analyzed to assess their implications for environmental governance. The paper concludes that while India possesses a comprehensive EIA framework, its effectiveness depends on stronger institutional capacity, transparency, scientific rigor, and meaningful public engagement to ensure environmental justice and sustainable development. http://ijaems.com/detail/environmental-impact-assessment-eia-in-india-legal-framework-challenges-and-future-directions/ Dr. Shiksha Malik, J.S. Laura http://ijaems.com/upload_images/issue_files/18IJAEMS-112202599-Environmental.pdf Artificial Intelligence (AI) is rapidly transforming the architecture and performance of global supply chains. The convergence of data-rich operations with machine learning (ML), reinforcement learning (RL), and generative large language models (LLMs) enables unprecedented levels of automation, foresight, and adaptability in supply chain management (SCM). This paper synthesizes recent literature (2023–2025) to examine how AI technologies reshape core SCM functions, forecasting, inventory optimization, logistics routing, procurement, and risk management, while identifying the governance and organizational challenges that shape adoption outcomes. Findings indicate that AI integration delivers measurable efficiency and resilience gains but also introduces new risks related to data interoperability, explainability, cybersecurity, and ethical governance. A governance-first operating model is proposed, emphasizing transparency, human oversight, and regulatory compliance as key enablers of sustainable AI deployment. The study concludes with a phased implementation roadmap and a future research agenda focused on responsible, interdisciplinary innovation at the intersection of AI and SCM. http://ijaems.com/detail/the-convergence-of-supply-chain-management-and-artificial-intelligence-challenges-and-opportunities/ Farjana Nawrin, Prince David Hayibor, Owen Atsu Soglohu, Kofi Mensah Adams, Terry Muringo Muriithi, Farhad Akter, Josephine Arthur http://ijaems.com/upload_images/issue_files/19IJAEMS-11220257-TheConvergence.pdf