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Call for Papers May-2025
Paper Submission: 25-May-2025
Publication: 31-May-2025
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Special Issue

Past Issues
Effect of Financial Literacy on Behavioral Biases in Investment Choice
Shivangi, Dr. Amar Kumar Chaudhary
CrossRef DOI : 10.31426/ijamsr.2025.8.2.8051
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.2.8051
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Abstract
The study investigates “the effect of financial literacy on individuals' behavioral biases in investment decisions”, which reveals a significant correlation between financial literacy and reduced tendency to fall prey to cognitive biases. Educated investors make more informed decisions, diversify portfolios effectively, and exhibit less emotional decision-making. The study emphasizes the importance of financial education in promoting rational, objective investment strategies. Improving financial literacy could reduce biases and improve capital allocation in financial markets.
Revolution in Verse: Ramesh Chandra Jha’s Dharti Ki Dhool and the Enduring Spirit of Champaran
Dr. Priya Kumari
CrossRef DOI : 10.31426/ijamsr.2025.8.1.8011
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.1.8011
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Abstract
Ramesh Chandra Jha was an inspiring freedom fighter, poet, novelist, and chronicler whose literary contributions vividly capture Champaran’s rich cultural heritage. Born into a legacy of patriotism, his life and works reflect the fervour of India’s struggle for independence, revealing the resilience and dreams of common people. Jha’s writings, infused with social realism and human values, serve as a testament to his unwavering commitment to justice and progress.
Factors Affecting the Request for Proposals Submission with Special Reference to Fast Track Projects in Middle East – A Survey
Dr. Prakash Bhalchandra
CrossRef DOI : 10.31426/ijamsr.2025.8.2.8052
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.2.8052
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Abstract
The research paper focuses on rational factors that affect the submissions of Request for Proposals (RFP) considering the time constraints and fulfilling the requirements of the Client in the Construction industry, in particular, fast track projects in Real Estate Development projects across Middle East.
Reflections on a Lodge Painting, Masonic Practice and Freemasonry. “Light Shines in the Darkness”
Ferenc Sebök
CrossRef DOI : 10.31426/ijamsr.2025.8.2.8053
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.2.8053
L’enfant dysphasique, difficultés de dépistage, les tests - Typologie, causes, scolarisation - Étude de cas
Ferenc Sebök
CrossRef DOI : 10.31426/ijamsr.2025.8.1.8012
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.1.8012
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Abstract
La présente recherche concerne la dysphasie, une pathologie qui touche environ 2% d’enfants. Ce travail propose une brève approche théorique mettant aussi en exergue les difficultés de dépistage. Quels sont les tests utilisés et les pistes pour mieux mettre la dysphasie en évidence? Ce travail aborde aussi la typologie, les causes de la dysphasie. Quelles sont les démarches à faire pour obtenir un remboursement des soins logopédiques en ce qui concerne la dysphasie?
The Symbolism of The Candle in Freemasonry. Reflections on Light, The Four Elements and The Three Journeys of The Apprentice
Ferenc Sebök
CrossRef DOI : 10.31426/ijamsr.2025.8.3.8111
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.3.8111
Improving English Speaking Skills through the "Role-Play" Technique
Tambiabu Kagitala, Mr. M. Veeraiah
CrossRef DOI : 10.31426/ijamsr.2025.8.3.8112
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.3.8112
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Abstract
The Purpose of this study is to get the empirical knowledge of the Role-play technique to improve speaking ability, to know if the role-play effective in teaching speaking, to find the answer if the role is effective to improve English speaking ability. The technique of the research is qualitative. The data from field was done through observation in the classroom. Here the writer directly taught the students and observed students’ activities in speaking class. The writer explains the finding and gives some samples of role-play technique, activities in teaching and how to teach speaking through role-play technique.
Predictive Modelling of Cancer Using Machine Learning and Data Mining Techniques: A Performance-Based Comparative Analysis Approach
Vimmi Kochher, Dr. Ankit Kumar, Dr. Shivani Sharma
CrossRef DOI : 10.31426/ijamsr.2025.8.3.8113
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.3.8113
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Abstract
Cancer continues to be a leading cause of global mortality, prompting the urgent need for accurate and early diagnostic tools. This study explores the application of data mining techniques such as Support Vector Machine (SVM), Decision Tree, k-Nearest Neighbours (KNN), Random Forest, and Artificial Neural Network (ANN) in predicting cancer disease using clinical datasets. A comparative analysis of these models was performed using metrics like accuracy, precision, recall, and F1-score. Results indicate that ANN outperforms other models in accuracy and precision, while KNN achieves the highest recall. These findings emphasize the potential of data mining to enhance early detection and decision-making in oncology.
Impact of Auditory, Visual, and Kinesthetic Learning Styles on English Achievement in High School Students
Joel Vas, Dr. Ankur Sharma
CrossRef DOI : 10.31426/ijamsr.2025.8.3.8114
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.3.8114
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Abstract
This study investigates the relationship between the linguistic style of learning and academic achievement in English among high school students. Recognizing the diversity in learning preferences auditory, visual, kinaesthetic/tactile, and multimodal the research explores how these styles influence students’ performance in English language tasks, including reading, writing, speaking, and comprehension.
Machine Learning for Dynamic Earned Value Management (EVM): A 2025 Perspective
Yaswanth Battula, Madhuri Pydi, Samuel Raj Kumar Paul
CrossRef DOI : 10.31426/ijamsr.2025.8.3.8115
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2025.8.3.8115
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This research paper explores the integration of machine learning technologies with Earned Value Management (EVM) methodologies, offering a comprehensive analysis of how these technologies are transforming project performance measurement and forecasting in 2025. The paper examines the fundamental principles of EVM, identifies its traditional limitations, and investigates how machine learning algorithms and AI-driven approaches address these challenges. Through an analysis of current applications, emerging trends, and future directions, the research provides insights into the evolving landscape of project performance management in an increasingly digital and data-driven environment. The findings suggest that machine learning enhances EVM capabilities through improved data collection and analysis, more accurate forecasting, dynamic baseline adjustments, and enhanced decision support. These advancements address longstanding limitations of traditional EVM while creating new possibilities for project performance optimization in complex, uncertain environments.
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