Assam Don Bosco University Journals
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The Anatomy of Panic: Availability Bias and Crowd Hysteria
No full textThe case study explores how availability bias shapes human perception in high-stress situations through the experience of Meera Sharma at the Maha Kumbh Mela 2025. Meera's deeply ingrained fear, influenced by her grandmother’s stories, dictates her response to a moment of panic triggered by a false rumor. The study examines how cognitive biases and herd mentality escalate mass hysteria, leading to irrational decision-making. Meera’s journey highlights the contrast between perceived and actual risk. The study underscores the role of critical thinking and real-time communication in mitigating panic. The findings emphasize the need for structured crowd management and psychological resilience training at large public gatherings
Performance Analysis of Commercial Banks: A Case Study on Deposit Growth, Advances and NPA Management
No full textThis study examines the performance of 10 public sector commercial banks in India, focusing on deposit growth, advances, and NPA management from FY 2019-20 to FY 2023-24. Using secondary data collected from bank annual reports, the RBI website, and relevant literature, the study employs the CAGR and Independent t-test (at a 95% confidence level) to analyze key trends. Data analysis was conducted using SPSS 21.0 for Windows. The findings reveal significant variations in deposit growth among the sample banks. Canara Bank demonstrated the highest deposit growth with a CAGR of 16%, while the Central Bank of India reported the lowest growth at 4%. Similarly, in terms of advances, Canara Bank achieved the highest CAGR of 17%, whereas the Bank of Maharashtra recorded the lowest at 3%. Correlation analysis indicated a moderate positive relationship (r = 0.448) between deposit and advance growth; however, this relationship was statistically insignificant (p-value = 0.194), suggesting that higher deposit growth does not necessarily lead to a proportional increase in advances. In NPA management, Bank of Maharashtra showed notable success in reducing NPAs, achieving a CAGR of -24% in the Priority Sector Lending (PSL) segment and -54% in the Non-Priority Sector Lending (NPSL) segment. Conversely, Canara Bank faced a 12.1% increase in PSL NPAs and achieved only a -15% reduction in NPSL NPAs, highlighting asset quality concerns. The Independent t-test confirmed that NPSL NPAs were significantly higher than PSL NPAs (p-value = 0.000), indicating a greater risk in non-priority lending. The study recommends expanding branch networks in underserved rural areas to enhance financial inclusion and attract new customers. Additionally, banks should strengthen credit monitoring practices, maintain regular contact with borrowers, and implement proactive strategies to manage NPAs effectively. These insights can guide bank managers in improving asset quality, ensuring better financial stability, and enhancing overall performance
Study of ANN-based Load Frequency Control For Two-Area Power System
No full textThe controller based on Artificial Neural Network (ANN) for Load Frequency Control (LFC) in a two-area linked power system is designed and implemented in this article. The performance of the suggested ANN controller is compared with that of traditional fuzzy logic controllers (FLC) and proportional-integral-derivative (PID). The study of this paper shows that under various load circumstances, the ANN-based controller offers a significantly improved dynamic response. The Levenberg-Marquardt method was used to train the neural controller, which successfully reduces load frequency variations and improves system stability. The model of the power system has been simulated, and the performance of the controller has been assessed using MATLAB/Simulink. The suggested ANN controller performs better than the conventional and FLC in terms of peak overshoot, settling time, and control precision, demonstrating its appropriateness for present LFC applications
Market Linkages for Smallholder Farmers in Organic Agricultural Produce: A Comprehensive Review
No full textThe review paper examines the impact of market linkages on organic agricultural production among smallholder farmers. The aim of the research is to facilitate access to regional and international markets and to enhance the development of effective market linkage between organic producers, thus promoting market sustainability and strengthening economic ties within and among local businesses. By connecting farmers to markets, information, and inputs, this work seeks to improve their livelihoods. A comprehensive review integrates various sources of information and perspectives, allowing for a deeper understanding of the subject. The study employs a structured and potential-focused approach to outline the status of organic production and market linkages that foster rural development. It provides insights into the opportunities available for organic farmers through an examination of various research papers and case studies. Key objectives include identifying the challenges face by organic farmers in establishing market linkages, studying the current scenario of organic farming practices, and analyzing the implications for policies regarding organic implementation. Furthermore, it synthesizes key findings from a broad spectrum of studies and theoretical perspective. One significant issue highlighted is the inaccessibility of quality inputs, market information, certification, and other socio-economic challenges. Weak market linkages lead to market inefficiency, missed opportunities, and a reliance on imported goods and services. Therefore, well-informed government support policies, the empowerment of smallholders, and collaboration between the private sectors are essential for nurturing a sustainable agricultural ecosystem. The research identifies a gap stemming from the lack of specificity in prior studies research on organic market linkages, alongside inadequate research and insufficient data. The originality of the research lies in its focus on addressing real-world challenges related to organic market linkages and its pursuit of innovative marketing strategies for organic producers
The Socio-Cultural Footprint of Tourism: A Case Study of Manas National Park’s Host Communities
No full textWhile tourism is often analysed for its economic contributions, its socio-cultural impacts on host communities remain equally significant. This case study examines the socio-cultural transformations resulting from tourism development in the communities surrounding Manas National Park, Assam, a UNESCO World Heritage Site. The study explores both the positive and negative socio-cultural consequences, including changes in traditional lifestyles, cultural preservation, social cohesion, and conflicts arising from tourism activities. Additionally, it investigates the relationship between these socio-cultural impacts and the extent of community participation in tourism planning and management. Using a quantitative approach, data was accumulated through a structured questionnaire, and factor analysis was employed to ascertain key dimensions of socio-cultural impacts. Multiple regression analysis was conducted to assess the strength of the association of these impacts with community participation. The findings highlight the need for a balanced and inclusive approach to tourism development that considers local socio-cultural dynamics to ensure sustainable and community-driven growth
Γ-DERIVATIONS AND THEIR NORM PROPERTIES IN THE PROJECTIVE TENSOR PRODUCT OF Γ-BANACH ALGEBRAS
No full textThe abstract should appear like this. The abstract should appear like this. The abstract should appear like this. The abstract should appear like this. The abstract should appear like this.This paper deals with many illuminating results on different derivations in the Projective Tensor product of Banach algebras. The following results are established here:Let (B, ) be the projective tensor product of two Banach algebras ( . If be generalized derivations / generalized Jordan derivations / generalized inner derivations on ( respectively, then there exists a derivation on the projective tensor product (B, having the same properties. Moreover, is a crucial result in this field
A study on Impact of SHG and spreading awareness to the SHG Members in some selected villages in West Khasi Hills District, Nongstoin C& RD Block Development Office, Meghalaya
Full text linkThis work studied the effectiveness of National Rural Livelihoods Mission (NRLM) and promoted the same among self-help groups. NRLM is a comprehensive programmed for reducing poverty in India with the goal of enhancing the living conditions of rural households. Self- Help Groups (SHGs) are promoted and strengthened as one of the primary tactics used by NRLM. The study provided awareness to the people about financial Inclusion, Digital Finance and loans in some of the village in west Khasi hills district, Nongstoin and this process include the data analysis and the interpretation on the number of the people who are the beneficiary of the Self- Help Group. We surveyed five villages of the Nongstoin Block with the sample size of 115 respondent by visiting different village and the AEC level of the cluster in the block
Reelity or Reality: A Scoping Review on the Effects of Short Form Social Media Content on Adolescents
No full text“The difference between technology and slavery is that slaves are fully aware that they are not free” – Nassim Nicholas TalebABSTRACTShort videos on apps such as Instagram Reels and YouTube Shorts are now a central activity for many adolescents who spend their time online. They are quick, engaging, and frequently customized by algorithms to continue viewing. Though they provide instant gratification, increasing research indicates that they can also influence how adolescents concentrate and regulate their emotions. This review examines studies that investigate the relationship between short-form video consumption and two important aspects of adolescent mental health: attention and mood regulation. The article also identifies areas where further research is required. By synthesizing existing evidence, this review aims to facilitate further scholarly work and stimulate informed debate about the digital practices influencing young people.Keywords: Mental Health, Adolescents, Psychological Well-Being, Social Media, Digital Addictio
Mapping the Landscape of DigCompEdu: A Bibliometric Approach
No full textAbstract: This study is an analysis of all the academic work that was done on DigCompEdu (the European Framework for the Digital Competence of Educators) between the year 2017 and 2024. It does this because schooling around the world is quickly becoming more digital. VOS Viewer 1.6.20 edition software and complex bibliometric methods such as co-authorship mapping, keyword co-occurrence, and co-citation networks are used in this study to analysed for research trends, patterns of collaboration, and intellectual frameworks in this new field through the finally selected 303 papers from the Scopus database. Based on the data, there have been significantly more publications since 2020. The investigation has been revealed that Spain as the most productive and beneficial country globally. “Digital competence,” “teachers training,” and “e-learning” are found to be important study clusters by thematic mapping, and visualization technologies are used on top of them. The most mentions came from high-impact journals like Computers and Education and Sustainability (Switzerland), and well-known people like Redecker and Cabero-Almenara became thought leaders in the field. More and more people from all over the world and different fields are using DigCompEdu. However, the data also shown that there are gaps in geography and themes, especially from the global South. This paper does a thorough, evidence-based study of the philosophical and structural framework of educator digital competency research. It gives researchers, policymakers, and practitioners significant information
Wavelength-Selective Partial Least Squares Regression of Near-Infrared Spectra for Predicting Chlorophylls and Carotenoids in Leaves
No full textThis study investigates the quantification of leaf pigments using near-infrared (NIR) spectroscopy, with an emphasis on the application of wavelength-selective partial least squares regression (WSPLSR) for improved predictive modelling. While conventional PLSR yields varying prediction accuracies—chlorophyll a (R² = 0.922), chlorophyll b (R² = 0.853), chlorophyll a+b (R² = 0.910), and carotenoids (R² = 0.787)—the incorporation of wavelength selection significantly enhances model performance. The WSPLSR approach identifies optimal spectral regions strongly correlated with pigment concentrations, achieving higher coefficients of determination: chlorophyll a (R² = 0.978), chlorophyll b (R² = 0.953), chlorophyll a+b (R² = 0.974), and carotenoids (R² = 0.908). Model robustness is confirmed by the corresponding RPD values: chlorophyll a (RPD = 6.761), chlorophyll b (RPD = 4.593), chlorophyll a+b (RPD = 6.2), and carotenoids (RPD = 3.29). These findings demonstrate the efficacy of WSPLSR models in NIR spectroscopy as a rapid, non-destructive, and non-invasive tool for farmers, facilitating the early detection and management of pigment-related stress in plants