How Does Perceived Control in a Managerial Role Influence Physiological Stress Responses During Financial Fraud Situations?
Financial fraud events place intense psychological and physiological pressure on managerial decision-makers. Perceived control—defined as an individual’s belief in their ability to influence outcomes—plays a key role in modulating stress responses. This experimental study examined whether managers with high perceived control demonstrate lower physiological stress responses compared to those with low perceived control during a simulated financial fraud scenario. Using a laboratory-based mixed-design experiment (N = 60), participants were assigned to high-control or low-control managerial roles and exposed to both a neutral scenario and a fraud-crisis scenario. Stress responses were measured using galvanic skin response (GSR) and pulse-derived heart rate changes from baseline. Synthetic data modelled after real psychophysiological patterns were analysed using repeated-measures ANOVA and delta-based t-tests. Results showed significantly greater increases in GSR and heart rate during the fraud scenario for the low-control group compared with the high-control group. Within-group analyses confirmed that both groups exhibited elevated physiological arousal during fraud relative to neutral tasks, but the magnitude of change was consistently higher in low-control participants. These findings suggest that perceived control acts as a protective factor, attenuating physiological stress during high-stakes financial decision-making. Implications for leadership selection, crisis management protocols, and stress-mitigation training are discussed. Beyond immediate stress reactivity, the study also highlights the potential cognitive implications of autonomic arousal during fraud-related decision-making. Elevated GSR and heart rate responses in low-control managers may reflect heightened emotional load, reduced cognitive flexibility, and impaired working memory—factors known to compromise decision quality under uncertainty. Conversely, individuals in high-control positions appeared to maintain more stable physiological profiles, suggesting the presence of regulatory mechanisms that may support clearer judgment, faster threat appraisal, and more adaptive responses during organizational crises. The methodological contribution of this study lies in the integration of GSR and pulse-based heart rate monitoring within a realistic financial fraud simulation, demonstrating the feasibility of combining psychophysiological tools with organizational-behaviour paradigms. Although the dataset employed was synthetic and modelled after established physiological patterns, the experimental framework provides a robust foundation for future empirical studies involving real participants. This approach offers valuable insights into how perceived managerial control can influence biological stress pathways, ultimately shaping crisis-management performance in high-risk financial environments.
Published by: Yana Pranati Sharma
Author: Yana Pranati Sharma
Paper ID: V11I6-1304
Paper Status: published
Published: December 19, 2025
India’s Evolving Foreign Policy: Leadership and Diplomacy in the Global South (2000–2025)
This paper examines the evolution of India’s foreign policy between 2000 and 2025 and evaluates how the country has positioned itself as a leading voice of the Global South. Building on its postcolonial legacy of non-alignment and South–South cooperation, India has adopted a multi-dimensional strategy that integrates multilateral diplomacy, development finance, vaccine and health diplomacy, digital public infrastructure sharing, and strategic partnerships. Through platforms such as the G20, BRICS, and the United Nations, India has increasingly shaped global governance debates, advocating for equity, climate justice, institutional reform, and inclusive development. Initiatives like Vaccine Maitri, concessional Lines of Credit, and digital cooperation demonstrate a shift from symbolic leadership to tangible implementation. However, India’s leadership remains constrained by capacity limits, domestic pressures, and geopolitical competition. The paper concludes that India’s emerging leadership model blends normative advocacy with pragmatic partnership, offering an alternative, non-coercive framework for Global South cooperation.
Published by: Kabir Bhasin
Author: Kabir Bhasin
Paper ID: V11I6-1303
Paper Status: published
Published: December 19, 2025
Artificial Intelligence : JobBot
The rapid advancement of artificial intelligence has paved the way for innovative solutions in the recruitment process. This abstract introduces the AI JobBot, a cutting-edge system designed to enhance the interview experience for candidates through personalized and domain-specific interactions. Upon candidate selection of their domain, the JobBot employs natural language processing to engage in a human-like conversation, tailoring questions to the specific requirements of the chosen field. The dynamic interview process adapts to candidate responses, ensuring a comprehensive evaluation of their skills and knowledge. The AI JobBot leverages machine learning algorithms to continually refine its questioning techniques, mimicking the adaptability of human interviewers. This not only provides candidates with a realistic and engaging interview experience but also ensures that the evaluation is aligned with industry standards. Furthermore, the JobBot goes beyond the conventional interview experience by offering constructive feedback to candidates. Through real-time analysis of their responses, the AI system provides personalized insights into strengths and areas for improvement. This feedback is invaluable for candidates seeking to enhance their interview skills and refine their expertise.
Published by: Sushil Kumar B, Shiv Shobhith M
Author: Sushil Kumar B
Paper ID: V11I6-1300
Paper Status: published
Published: December 19, 2025
HPTLC-Based Qualitative Identification of Gallic Acid in Rauvolfia serpentina Roots Collected from Diverse Agro-Climatic Zones of India
Gallic acid is a bioactive phenolic compound widely recognized for its antioxidant and pharmacological properties. The present study qualitatively investigates the presence of gallic acid in root samples of Rauvolfia serpentina (Sarpagandha) collected from four distinct agro-climatic zones of India using High Performance Thin Layer Chromatography (HPTLC). Methanolic extracts of root samples were analyzed alongside a gallic acid standard employing a standardized solvent system. The chromatographic profiles of all samples exhibited peaks corresponding to the retention factor (Rf) range of the reference standard, confirming the presence of gallic acid across all evaluated samples. This study supports the phytochemical consistency of Rauvolfia serpentina roots and contributes to quality control and standardization efforts of this important medicinal plant.
Published by: Poornima Shrivastava, Aparna Alia, Bharty Kumar
Author: Poornima Shrivastava
Paper ID: V11I6-1306
Paper Status: published
Published: December 19, 2025
Expenzo – The Smart Finance Tracker
The rapid growth of digital transactions and cashless payment systems has increased the complexity of personal financial management. Individuals often lack effective tools to systematically record expenses, analyze spending behavior, and maintain financial discipline. EXPENZO – The Smart Finance Tracker is a secure, web-based financial management system developed to address these challenges by providing an automated and structured approach to tracking income and expenses. The system allows users to log financial transactions in real time, classify them into predefined categories, and generate analytical summaries that reflect spending trends and saving patterns. Advanced dashboard visualizations and monthly financial reports support data-driven budgeting decisions and promote improved financial awareness. The application integrates essential security mechanisms such as user authentication and controlled data access to ensure the confidentiality and accuracy of sensitive financial information. EXPENZO is implemented using Python with the Flask framework to manage backend operations and application logic. SQLite is employed as a lightweight relational database for efficient data storage and retrieval, while HTML, CSS, and Bootstrap are used to develop a responsive and user-centric interface. The modular architecture of the system ensures scalability, maintainability, and cross-device accessibility. The proposed solution demonstrates the effectiveness of a lightweight web-based platform in simplifying personal finance management. By combining automation, visualization, and secure data handling, EXPENZO enhances users’ ability to monitor financial activities, optimize budgeting strategies, and plan for long-term financial stability. Overall, EXPENZO serves as a practical digital tool for tracking finances, improving saving habits, and developing financial discipline. The application demonstrates how a simple and user-friendly solution can help individuals gain better control over their personal finances and plan more effectively for future financial needs.
Published by: Sahil C. Madankar, Sankalp S. Pawar, Tanushree S. Patle, Vidhi P. Harode, Shivang R. Nagpure, Sakshi S. Zade, Shrawani H. Bijwar, Prof. P. A. Kuchewar, Prof. M. R. Balbudhe
Author: Sahil C. Madankar
Paper ID: V11I6-1305
Paper Status: published
Published: December 19, 2025
Hydrogen Yield Efficiency Based on Current Density in AWE
Hydrogen production through alkaline water electrolysis (AWE) remains one of the most reliable and economically feasible pathways for generating clean hydrogen. However, the efficiency of AWE is strongly influenced by the operating current density, particularly at higher loads, where bubble accumulation, increased overpotential, and mass-transport limitations reduce the practical hydrogen yield. This study examines the effect of varying current density on hydrogen yield efficiency by comparing the experimentally collected hydrogen volume with theoretical values derived from Faraday’s law. Electrolysis was performed using stainless steel electrodes in a 0.50 M NaOH electrolyte over current inputs ranging from 0.10 A to 0.50 A. For each current setting, the corresponding hydrogen volume was measured via the water displacement method, converted to moles using the ideal gas law, and evaluated against the predicted stoichiometric output. The results show a near-linear increase in hydrogen production at lower current densities but a noticeable deviation from ideal Faradaic behaviour at higher currents. Faradaic efficiency decreased from approximately 94% at 0.10 A to around 85% at 0.50 A, confirming that bubble blockage, resistive heating, and kinetic limitations become more pronounced as current density increases. The study provides a clear, empirical relationship between current density and hydrogen yield efficiency in a simple AWE system, offering useful insights for small-scale electrolysis applications and highlighting the practical limitations encountered when transitioning to higher operational loads. Beyond quantifying efficiency trends, this study also demonstrates the importance of understanding electrochemical behaviour when scaling up hydrogen production systems. Since many educational and laboratory AWE setups operate without advanced engineering features—such as forced electrolyte circulation, porous electrodes, or catalytic coatings—the findings provide a realistic baseline for performance expectations in simple electrolyzers. The observations reinforce that while increasing current density boosts hydrogen output, it simultaneously introduces non-idealities that lower conversion efficiency. These insights can support future optimisations in electrode design, electrolyte composition, and cell configuration for improved hydrogen yield in low-cost AWE systems. Overall, the study highlights the value of Faradaic efficiency as a diagnostic tool for evaluating real-world electrolyzer performance. By directly comparing theoretical and experimental hydrogen yields, the method used here provides a simple yet powerful way to identify operational losses without requiring advanced instrumentation. This approach can be applied in future work to assess the influence of factors such as electrode spacing, electrode surface treatment, electrolyte concentration, and temperature on hydrogen output. The findings, therefore, not only document the behaviour of AWE under varying current densities but also establish a practical framework for improving system efficiency in academic, laboratory, and introductory research settings.
Published by: Harmaya Thukral
Author: Harmaya Thukral
Paper ID: V11I6-1278
Paper Status: published
Published: December 16, 2025
