Volume 13 | Issue 11 |

 Abstract

As urban centers continue to experience the direct and indirect impacts of climate change, understanding how city residents perceive and respond to these challenges is crucial for effective policy and community engagement. This study explores the levels of awareness, knowledge and climate-related actions among residents in selected municipal areas of Dibrugarh city. A random sampling method is used to collect information through a semi-structured interview schedule. Findings reveal a significant gap between climate change awareness and actionable knowledge with socio-economic status, education level. The study highlights the need for targeted communication strategies, community-based programs and inclusive urban policies to bridge the gap between concern and action. These insights are essential for fostering resilient urban communities capable of responding effectively to climate challenges.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

City residents, climate change, awareness, knowledge action

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Earthquakes are natural phenomena that generate intense ground motions, which can adversely impact structural systems. While mild tremors may not be perceptible to humans, stronger ones can cause serious structural damage. Shear walls are introduced in buildings to improve lateral stiffness, enhance ductility, minimise lateral displacements, and increase overall structural safety in seismic design. Controlling storey drift and lateral displacement is essential. Shear walls, which are vertical reinforced concrete (RC) elements extending from the foundation upwards, play a key role in resisting lateral seismic forces and limiting storey displacements. However, enclosing a building entirely with shear walls may negatively affect its architectural appearance. As a result, shear walls are typically positioned at selected locations, such as the sides or corners. In low-rise structures, bracing systems may be an option, but these are often unsuitable for taller buildings.

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Creative Commons Attribution 4.0 and The Open Definition

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Shear walls, lateral displacement, story drift, story shear, story bending, response spectrum, time history analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords Mefenamic Acid, microwave-assisted synthesis, nano bio-composite, encapsulation efficiency, solubility enhancement, sustained release, gastrointestinal stability, statistical optimization, PLGA, PVA.

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Creative Commons Attribution 4.0 and The Open Definition

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The present study examined the relationship between personality traits and impulsive buying behavior among young adults. A total of 153 participants (aged 18-25 years) were selected using convenience sampling, and data were collected through the Neo-FFI-3 (Costa & McCrae, 2004) and the Buying Impulsiveness Scale (Rook & Fisher, 1995). Descriptive statistics and Pearson's product-moment correlation were used for analysis. The results showed that extraversion and impulsive buying were significantly positively correlated, meaning that people who were gregarious and outgoing were more likely to make impulsive purchases. However, there were significant negative correlations between impulsive buying and conscientiousness, agreeableness, and openness. This suggests that people who are self-disciplined, empathetic, and reflective are more resistant to impulsive tendencies. A weak negative correlation was found between neuroticism and impulsive buying, suggesting that people with emotional instability were somewhat less likely to do so, perhaps as a result of their inability to make decisions and fear of regret. Conscientiousness is the strongest protective factor, according to the study, which shows that personality traits have a significant impact on consumer behavior. The psychological foundations of consumer impulsivity are better understood thanks to these findings, which also have applications in marketing tactics, financial literacy, and consumer awareness.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Personality traits, Big Five, impulsive buying, consumer behavior, young adults

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Creative Commons Attribution 4.0 and The Open Definition

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Procrastination is a common challenge among young adults, often linked to academic stress, reduced performance, and emotional distress. While perfectionism has been consistently identified as a significant predictor of procrastination, the mechanisms underlying this relationship are not yet fully understood. Fear of failure, which is closely associated with perfectionistic tendencies, may act as a critical mediator that explains why individuals with high perfectionism tend to delay tasks. This study aims to examine the mediating role of fear of failure in the relationship between perfectionism and procrastination among young adults aged 18-25 years. A quantitative research design will be employed, using standardized self-report measures to assess levels of perfectionism, fear of failure, and procrastination. Data will be collected from a sample of 100-200 young adults through purposive sampling. Statistical analyses, including correlation and mediation analyses, will be conducted to explore the strength and significance of the relationships among the variables. It is expected that fear of failure will significantly mediate the link between perfectionism and procrastination, highlighting it as a key psychological mechanism contributing to task avoidance. The findings of this study aim to enhance understanding of maladaptive perfectionism and procrastination and provide practical implications for academic counseling, mental health interventions, and strategies to promote effective time management and coping among young adults.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

perfectionism, procrastination, fear of failure, mediation analysis

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Creative Commons Attribution 4.0 and The Open Definition

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Carbon Footprint Optimization Optimize AI-powered Carbon footprint prediction for Sustainable Logistics is a project that is expected to predict and optimize the carbon emission at different points in the supply chain. The system measures carbon footprint using machine learning models including the Random Forest, LSTM and XGBoost, and GRU applications that offer precise predictions of carbon footprint. In the project, generative AI is integrated to produce summaries, offer actionable sustainability information, and possible ESG risk hotspots. The dataset captures the factors like procurement, energy usage, modes of transportation and external factors like weather, which contribute towards the emissions. It is an HTML, CSS, JavaScript, Python (Flask), and hosted on Google Cloud Platform (GCP) platform which provides an easy to use interface with modules such as Home, Register, Login, dashboard and Logout. Some of the dashboard features include predictions, SHAP plot, and ESG insights, which help organizations to reduce the environmental impact. This system is aimed at facilitating the decision-making process and ensuring sustainability through areas of the improvement of emissions management. The suggested generative AI will complement the entire system with proposals on how to streamline the workings of the system, minimize emissions, and increase the sustainability of the supply chain.

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Creative Commons Attribution 4.0 and The Open Definition

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Carbon Footprint, Machine Learning, Sustainability, ESG, Emissions Prediction, Generative AI, Supply Chain, Optimization, Random Forest, LSTM, XGBoost, GRU, Flask.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fintech driven financial services in India have created a payments environment that is instant, interoperable, API based, and deeply embedded in everyday economic activity. Unified Payments Interface volumes, NPCI rails for IMPS, AePS, FASTag, and QR based collections, together with smartphone penetration, have produced a payment layer in which value moves at a speed that legacy banking controls did not anticipate. This speed has carried a parallel surge in frauds and techno economic crimes such as social engineering-based UPI authorisations, card not present misuse routed through merchant accounts, identity theft to open mule accounts, pig butchering through unregistered apps, unauthorised digital lending with coercive recovery, and cross border laundering of virtual digital assets through exchanges that fall outside Indian supervision. RBI, MeitY, FIU IND, ED, CERT In and NPCI have responded with overlapping standards, for instance the 2017 customer liability circular, the 2019 turnaround time framework, the 2022 CERT In six hour reporting requirement, the 2023 and 2024 amendments to the IT Intermediary Rules, the 2022 RBI digital lending guidelines, and the DPDP Act 2023 obligations for data fiduciaries including financial sector entities, yet offenders continue to exploit jurisdictional gaps, inconsistent attribution of liability, long investigation cycles under the BNSS 2023, and the absence of a unified fintech crime code. The problem is aggravated by the emergence of VDA service providers that came under PMLA only in March 2023 and that continue to receive show cause and penalty actions for non-compliance in 2024 and 2025, which confirms that AML controls have not travelled at the same pace as fintech innovation in India. A critical analysis of these laws shows that the legal tools exist, from "Section 66C" and "Section 66D of the Information Technology Act, 2000" to "Section 43A" civil compensation, from "Section 13 of the Prevention of Money Laundering Act, 2002" to "Section 318 of the Bharatiya Nyaya Sanhita, 2023", but they are fragmented across regulators, triggered on different thresholds, and often written for a pre-UPI environment. The present legal research study therefore argues for a tighter articulation of fintech crime categories, a harmonised attribution of loss and restitution across RBI and NPCI rails, stronger data protection overlays for fintech lenders, and a policing procedure that preserves electronic evidence in a manner that meets BSA and BNSS requirements for trial. It also points toward the growing role of self-regulatory organisations in fintech under the RBI's 2024 framework as a bridge between rule writing and day to day market behaviour, especially for merchant monitoring, LSP governance, and API security.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fintech crime; digital payments; UPI fraud; PMLA; IT Act; DPDP Act; digital lending; payment aggregators; intermediary liability; electronic evidence

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Creative Commons Attribution 4.0 and The Open Definition