Authors - J. Silamboli, Divya Rani M S, G Dhivyasri, Nagesh H, J Ajayan, Manaswini R, Kalyandurg Rafeeq Ahmed, M Manikandan Abstract - This article uses Koch fractals to demonstrate a compact heptagonal wideband antenna for 5G mm-wave applications. This antenna is designed with defective ground planes to enhance impedance matching and employs Koch fractal geometry for wideband characteristics. In terms of performance and wideband features, fractal antennas prove to be more effective than other antennas. This antenna is designed to achieve greater gain and improved bandwidth characteristics while also minimizing interference at higher frequencies. A peak realized gain of 5dBi at 27.58 GHz is observed for the antenna, which offers a bandwidth between 26.5 and 40 GHz. Millimeter-wave integration is well suited to the proposed flexible antenna. A similar response can be found both in the measured results and in the simulated results. It is a compact antenna with a size of 9 mm by 9 mm. With a bandwidth of 7.42GHz, the VSWR for the whole frequency spectrum is less than 2 is achieved with the HFSS Tool. Experiments and simulations yield a good radiation pattern.
Authors - Priya Shirley Muller, Yadala Sucharitha, Shilpa Kottapally, Gulshodakhon Ismoilova, Lola Rakhimova, Pundru Chandra Shaker Reddy Abstract - Many scholars worry about the stock market, a key economic component. Many experts are exploring how to forecast stock prices and market trends. Previous prediction methods centered on geometric and neural network models, which have become admired. Although not typically utilized in financial time series, deep learning offers excellent learning abilities and is ideal for complex timeseries. Due to its cyclic structure, the LSTM network has long-term memory, making it perfect for financial timeseries anticipation. A new stock closing price anticipation framework yields better predictions than standard models in the study. Data pre and postprocessing use empirical-wavelet-transform (EWT) and outlier-resilient-extreme learning-machine (ORELM) models. Dropout strategy and particle swarm optimization (PSO) method optimize the mixed frame's primary component, an LSTM predictor. Each hybrid framework algorithm can maximize its functionalities to improve prediction ac-curacy. Three hard datasets are used for predicting trials to test the model. To demonstrate the framework's efficacy, some comparison models are chosen. Investigational results reveal that the hybrid approach proposed in the study has the best anticipation accuracy and may be used for stock market data investigation.
Authors - Chandana M C, Roshna Rahim, Aarathy K Sudhakaran Abstract - In the current situation where technology is getting an important part of our day-to-day life, digital money management is an important necessity and convenience. This study examines the role of digital personal finance literacy and how it influences people’s financial behaviors, decision-making, and overarching stability. It looks at how aware people are of digital financial tools, how they feel about digital versus traditional methods, and the outcomes of certain investing techniques. The research highlights how digital tools can make people financially empowered but also acknowledgeable hurdles such as lack of access and know-how. Skills, to create economically successful and knowledgeable communities and in this way fosters social inclusion. It focuses on enhancing digital finance literacy to contribute to building economically strong and sustainable communities in this dynamically evolving digital period. The study will require 156 people to gain factual results, including those from various backgrounds and locations. A structured questionnaire will be filled through a google form to collect data. The questions will cover areas such as awareness of digital financial services, changes in behavior due to these services, preference for digital or traditional platforms, and long-term economic impacts. The questionnaire will be a set of close-ended questions comprising mostly multiple-choice options, with a few examples using a Likert scale so that it can be analyzed in an easy and evident way.
Authors - Achala Fernando, Shyani Siriwardene, Salitha Dinushika Abstract - "Food Insecurity" is a widespread global challenge that significantly impacts individuals, particularly students and working professionals living away from home. This issue extends beyond mere access to food, encompassing the quality, nutrition, and hygiene of the available options. Home-based food (HBF) vendors often face difficulties in establishing and sustaining their presence in the competitive food market, further complicating consumers' access to nutritious and hygienic meals. This research aims to address these challenges through HomeCookSL, a digital platform designed to empower HBF vendors by enabling them to effectively showcase their recipes while providing users with comprehensive nutritional information and meals tailored to their dietary preferences. By facilitating informed meal decisions and promoting healthy eating habits, HomeCookSL not only enhances consumer satisfaction but also fosters the growth and sustainability of local HBF businesses, contributing to a more resilient food ecosystem.
Authors - Ivan Cassidy A. Cadiang, Jared L. Hechanova, Wilson M. Tan Abstract - Traditional identity verification methods pose significant challenges to user privacy and security, often requiring individuals to disclose more personal information than necessary for manual verification. As the country advances toward a digital economy, the Philippine Identification System (PhilSys) provides an opportunity to shift from physical document checks to a unified and secure digital identity framework. This paper introduces MasquerAge, an age verification system leveraging the Modular Open Source Identity Platform (MOSIP). The system utilizes MOSIP-based IDs, containing QR codes aligned with PhilSys specifications, to perform secure age verification. A web application was developed to facilitate scanning QR codes and authenticating users via MOSIP APIs. Performance testing showed the system to be generally efficient; however, cryptographic processes required by MOSIP introduced noticeable latency. The results highlight the viability of a privacy-preserving age verification system while identifying areas for optimizations and security enhancements in real-world implementations.
Authors - Efrem MBAKI LUZAYISU Abstract - The aim is to analyze the possibilities of optimizing decision-making systems in financial institutions, essentially based on a comparison of two models: centralized (corporate) BI and decentralized (business) BI under four do-mains — decision-making efficiency, data governance, agility and user satisfaction — The article evaluates the advantages and limitations of each approach. The study is based on a qualitative methodology combining semi-structured interviews and documentary analysis, applied to two major European banks. Based on concrete indicators (reporting time, adoption of BI tools, GDPR compliance, satisfaction), the article puts into perspective the trade-offs between centralization and autonomy, and proposes avenues towards hybrid architectures reconciling rigor, flexibility and innovation.
Authors - Mo Xiao, Chatchai Chatpunyakulr, Sarist Gulthawatvichai Abstract - This study investigates how psychological capital (PsyCap) influences nascent entrepreneurial behavior in China's dynamic economic environment, with a focus on passion mediation and environmental contingencies. Drawing on social cognitive theory and planned behavior frameworks, we propose an integrated model testing (1) PsyCap direct effects on passion and venture activity, (2) passion's mediating role, and (3) environmental dynamism's moderating effects. Using stratified sampling across three Chinese innovation hubs (N=387), we employ mixed methods combining SEM with fuzzy-set qualitative analysis. Findings reveal industry-specific boundary conditions where regulatory turbulence amplifies PsyCap impact in tech sectors but attenuates effects in policy-sensitive domains. The study contributes a cognition-anchored PsyCap measurement model while informing adaptive training protocols for nascent entrepreneurs facing institutional voids. Future research should examine cultural contingencies in emerging economies through longitudinal designs.
Authors - Nitin Prakash, Kajal P. Salampuriya Abstract - Significant progress has been made in integrating artificial intelligence (AI) with entrepreneurship, which has changed conventional business structures. AI is used by entrepreneurs to improve automation, predictive analytics, and decision- making, which increases operational effectiveness and fosters creativity. This abstract examines the various applications of artificial intelligence (AI) in entrepreneurship, emphasising how these applications can revolutionise strategic planning, consumer involvement, and the development of flexible and adaptable businesses. The adoption of AI technology by entrepreneurs confers a competitive advantage in navigating intricate markets and promoting sustainable growth, hence highlighting the critical role of AI in defining the trajectory of entrepreneurial endeavours.
Authors - Ioseb Gabelaia Abstract - In the digital attention economy, brands are increasingly utilizing diverse content strategies, including user-generated content (UGC), brand-generated content (BGC), and AI-generated content (AIGC), to engage consumers and shape their brand perception. This research investigates the psychological mechanisms that influence consumer engagement with these three content forms, utilizing cognitive processing theory (CPT). The research insights are based on a survey of 291 respondents, which measured engagement behaviors, emotional responses, and perceived authenticity. Moreover, 17 marketing professionals, through semi-structured interviews, provided insights into content reception, trust dynamics, and platform-specific interaction patterns. Results indicate that UGC produced the highest levels of perceived authenticity and emotional resonance, positively influencing engagement and brand trust. BGC was associated with consistent brand identity but yielded moderate emotional impact. AIGC, while efficient and scalable, generated uncertain responses, valued for personalization yet questioned for credibility. Thematic analysis of the interviews underscored the growing strategic integration of AIGC in marketing while also highlighting consumer sensitivity to transparency and ethical content sourcing. This research contributes to the knowledge of digital marketing by examining how psychological responses to different content origins influence digital brand engagement. Moreover, the practical implications highlight the need for content hybridization strategies that strike a balance between authenticity, control, and scalability.
Authors - Kajal P. Salampuriya, Deepak S. Sharma Abstract - Agriculture forms the foundation of the global food industry, ensuring food security and contributing significantly to economies worldwide. The agriculture contributes half of the india’s population it is the backbone of the nation’s economy. Agriculture encomposses of different activities like crop cultivation, livestrock breeding, poultry farming, cattle husbandry and aquaculture. This paper explores the interrelation between agriculture, the food industry, and international trade, highlighting the challenges such as climate change, supply chain disruptions, and trade barriers. It also investigates opportunities for growth through technological advancements, sustainable practices, and global market expansion. This study concludes by emphasizing policy recommendations for enhancing agricultural productivity and export capabilities to meet the growing global food demand. With a diverse climate supporting cultivation of various crops, India ranks among the world’s top producers of agricultural and food products in financial year 2021-22, the agricultural sector grew at an estimate rate of 3.9%, exceeded the previous year’s growth rate 3.6% respectively. Globalization has amplified the necessity for the countries to actively engage in international trade, merging the national market into a competative global economy. Rapid technological advancements and scientific progress continue to redefine agricultural practices, including machinization and chemical innovations, it helps to increase productivity and international competitiveness. This article highlights the challenging role of agriculture in economy and the growing importance of technical advancements, globalization, trade and the different opportunities.
