Volume 14 | Issue 5

 Abstract

Financial markets are not only driven by economic fundamentals, but also by psychological stories and market structure determinants that affect the decision-making process of investors. Studies conducted in Behavioural Finance theory indicate that investors tend to rely on current stories and opinions instead of making rational decisions. The present study is going to consider the effect of the combination of narrative bias and market liquidity on stock market processes and explore the potential of increasing prediction accuracy for shares by including these aspects into consideration. Narrative bias denotes the impact of the media story and social story on financial decision-making, whereas market liquidity implies ease of buying and selling shares without altering their price. With the help of sentiment analysis methods for determining narrative bias and liquidity measures like trading volumes and bid-ask spreads, this paper will establish a forecasting model for stock prices. The empirical study will be performed based on market data from different major stock exchanges, including the National Stock Exchange of India and the Bombay Stock Exchange. The regression and machine learning models will be employed to determine the connection between narrative bias, liquidity conditions, and stock price volatility. According to the results, it is evident that narrative bias plays an important role in determining investors' expectations and influences short-term stock price changes, whereas liquidity conditions have a significant effect on amplifying or weakening those impacts. The combination of both factors provides a more accurate forecasting model for predicting stock prices than the existing ones, which only consider historical stock prices.

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Narrative Bias, Market Liquidity, Stock Price Prediction, Investor Sentiment, Behavioural Finance

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Tobacco addiction is a chronic relapsing condition associated with nicotine dependency, and it leads to significant mortalitry & morbidity globally. It also adversely impacts physical or mental health. The cravings & withdrawal symptoms keeps the habit going for longer period of time. Homeopathy offers a treatment by treating the person as a whole & have individualized approach to a case rather than just reliving the symptoms of disease.

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Nicotine Dependence, Homeopathy, Tobacco Addiction, Boericke's Repertory

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This paper presents the design of an automatic door system using a rack and pinion mechanism for contactless operation. The system aims to reduce human effort, improve hygiene, and provide convenience, especially for elderly and physically challenged individuals. An ultrasonic sensor (HC-SR04) detects the presence of a person and sends signals to the Arduino UNO, which acts as the control unit. Based on the input, the Arduino controls the motor driver (L298N) to operate a DC gear motor. The motor's rotational motion is converted into linear motion through the rack and pinion mechanism, enabling automatic door opening. When no object is detected, the system reverses the motor to close the door. The system is simple, cost-effective, reliable, and suitable for use in homes, offices, hospitals, and public places, demonstrating the practical application of automation in daily life.

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Keywords: Arduino UNO, Ultrasonic Sensor, DC Motor, Rack and Pinion Mechanism.

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The world of trade is getting more complicated and uncertain. This has changed the role of Incoterms from being about delivery terms to being important tools in logistics and supply chain management. This study looks at how Incoterms 2020 used in the export and import industry. It focuses on how they affect the efficiency of operations, transparency of costs, allocation of risks and customer retention in freight forwarding. The Indian logistics environment is complex with laws like the Customs Act and Goods and Services Tax. This makes it necessary for companies to make decisions about trade terms. This study uses a research design and case studies to evaluate real-world shipment scenarios. It highlights problems that happen when Incoterms are not chosen correctly. For example using EXW can lead to a lack of control over documents. Using CIF can lead to costs. Not having insurance coverage for high-value air shipments can be a problem. Losing input credit for GST under DDP transactions can also be an issue. The study shows that using terms like FCA, CIP and DAP can help companies control logistics processes better. It can also make costs more transparent. Reduce financial and operational risks. By combining expertise with digital tools and regulatory awareness logistics providers can make Incoterms more valuable to their customers. This can help build trust and retain customers. The study concludes that using Incoterms strategically is key to achieving excellence, financial efficiency and a competitive advantage in the global logistics landscape.

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Incoterms 2020, Freight Forwarding, EXIM Operations, Customer Retention, Logistics Management, Risk Allocation, Landed Cost, GST, Supply Chain Efficiency, Air and Sea Freight

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This paper presents the design and simulation of a 16-bit Digital-to-Analog Converter (DAC) using an R-2R ladder architecture implemented in TSMC 130nm CMOS technology. The DAC employs a two-stage operational amplifier for current-to-voltage conversion. The design is simulated using Cadence Virtuoso, and key performance parameters such as resolution and transient response are analyzed. The results demonstrate correct functionality while overcoming limitations due to mismatch and non-ideal effects.

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DAC, R-2R ladder, CMOS, 16-bit, Operational Amplifier, Mixed-Signal Design

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Background: Transgenders are individuals whose gender identity differs from sex they were assigned at birth. Transgenders experience high levels of discrimination in health care, partly due to health care provider's knowledge, attitude and practices. Materials and Methods: A descriptive research study was conducted among 101 registered nurses working at AIMSR-GGH, Chittoor Dist. (A.P), India and selected through purposive sampling technique. The data were collected online by administering demographic data tool and self-structured questionnaire tool to explore the nurses' knowledge, attitude and practice regarding transgenders health care. Descriptive statistics such as frequency, percentage, mean & standard deviation were used to analyse demographic variables and the inferential statistics such as Chi-square test were used to find association between knowledge, attitude and practice towards healthcare needs of transgenders among nurses with selected demographic variables. Results: The study findings revealed that, majority of Nurses were in the age group of < 30 years ( 54, 53.5%), females (100, 99%), with B.Sc. Nursing qualification (51, 50%), married (78, 77%), working as a Nursing Officer (78, 77%), having an experience of > 6 years in nursing service (40, 40%), not attended any classes on transgenders and their issues during their academic life (73, 72%) and not knowing any transgenders personally (86, 85%). The study also showed that, majority of nurses had inadequate knowledge (56, 55%), positive attitude (86, 85%) and average level of practice in transgenders health care (55, 54%). Statistically significant association was found between area of residence, current designation, and with the level of Knowledge, Attitude & Practice in transgenders health care among nurses (p = < 0.05). Conclusion: Nurses in this study perceive gaps in their knowledge, attitude and practices that hinder their ability to deliver quality, patient-centred care to transgenders, despite their best intentions.

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Keywords: Transgenders, Knowledge, Attitude, Practice, Health care needs.

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Digital transformation has become a necessity in the more interconnected global economy of today, where operational efficiency, gaining a competitive edge, and driving innovation have become the driving forces behind the growth and advancement of modern corporate organisations. Despite the fact that technologies such as cloud computing, artificial intelligence ( AI ), the Internet of Things ( IoT ), and big data analytics offer unprecedented opportunities to expand business activities, they are associated with a broad spectrum of cybersecurity threats that need to be carefully planned and properly managed in terms of risk. This paper examines the interplay between digital transformation and cybersecurity in the business environment, considering the key risk factors, organizational governance, and obstacles to the implementation process. This article provides evidence-based recommendations to organisations that are in the process of digital transformation but are keen on strong security practices. According to the research, successful digital transformation is not only a matter of technology, but also requires the implementation of security at all stages of the process, supported by an appropriate governance structure, qualified personnel, and alignment of organisational culture. When companies make cybersecurity a key component of their digital strategy rather than an appendix, they achieve better outcomes in terms of innovation and risk management.

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cyber securtiy data privacy cyber governanace information security

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Cryptocurrencies have evolved from a niche technological innovation into a significant component of the global financial system. Initiated by Bitcoin in 2009, and later expanded through platforms like Ethereum, these decentralized digital assets operate on blockchain technology, enabling secure, transparent, and peer-to-peer transactions without reliance on central authorities. This study examines the economic impact of cryptocurrencies, focusing on their role in promoting financial inclusion, driving investment, and fostering technological innovation, while also highlighting risks such as market volatility, regulatory uncertainty, and threats to monetary stability. The paper further explores the regulatory challenges faced by governments and financial institutions worldwide, as they attempt to balance innovation with investor protection and financial security. A comparative analysis of regulatory approaches in major economies--including the United States, India, China, and the European Union--reveals significant inconsistencies and policy gaps. Using a qualitative, descriptive methodology based on secondary data sources, this study identifies how fragmented regulatory frameworks and lack of global coordination hinder the sustainable growth of the cryptocurrency ecosystem. The findings suggest that a flexible, transparent, and internationally coordinated regulatory approach is essential to maximize the benefits of cryptocurrencies while minimizing associated risks. The study concludes by emphasizing the need for adaptive policy frameworks that can keep pace with the rapidly evolving digital financial landscape.

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Cryptocurrency; Blockchain Technology; Financial Innovation; Economic Impact; Digital Assets; Market Volatility; Regulatory Framework; Financial Inclusion; Decentralization; Monetary Policy; Decentralized Finance; Central Bank Digital Currency (CBDC)

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The automotive industry is one of the largest contributors to global resource consumption, carbon emissions, and waste generation, necessitating a fundamental shift in design and production philosophies. This paper examines the integration of circular economy (CE) principles into automotive design as a pathway toward sustainable vehicle production. Through a comprehensive literature review spanning 35 peer-reviewed studies, combined with qualitative and quantitative research methodologies including industry interviews, surveys, and life cycle assessment (LCA) frameworks, this study evaluates the feasibility and impact of CE-based strategies across the full vehicle lifecycle. Key areas of investigation include material recycling and reuse, design for disassembly (DfD), modular vehicle architecture, sustainable manufacturing technologies, end-of-life vehicle (ELV) management, and the development of sustainable battery solutions for electric vehicles. The study identifies critical research gaps in standardised recycling processes, scalable closed-loop supply chains, and economic models supporting circular transition. Findings suggest that embedding CE principles from the design phase significantly reduces raw material dependency, minimises waste generation, and lowers lifecycle carbon emissions -- delivering a 34.5% reduction in global warming potential under the circular model -- while simultaneously offering economic benefits through resource efficiency and remanufacturing. Policy recommendations and industry collaboration frameworks are proposed to accelerate the adoption of circular practices. This research contributes a structured boundary condition framework and actionable guidelines for automotive manufacturers, policymakers, and sustainability practitioners committed to transitioning toward a fully circular automotive ecosystem.

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This study examines whether retelling myth actively contributes to cultural evolution or merely reproduces the same narratives again. It argues that myth persists because the flexibility in its structure rather than its preservation. The study focuses on two cases - the Ramayana and the Varaha avatar within Vaishnava mythology. Drawing from comparative myth analysis and A.K. Ramanujan's framework of "tellings", the study shows that narrative and ontological variability are inherent features of mythic continuity. The Ramayana illustrates a continuing shift in narratives depending on region, devotion, performance, and ideology. For example, Rama's gradual divinization, and the shift to a symbol of morality, can be seen from ancient texts to tribal, vernacular, and sectarian texts. A similar examination of the Varaha avatar reveals ontological fluidity. The Varaha avatar takes many iconographic forms, such as zoomorphic, anthropomorphic, and Yajna forms, while maintaining a cosmological significance of destabilization, descent, correction, and restoration. In the initial Vedic texts, the Varaha form takes a more cohesive religious connotation. Building on these findings, the study introduces a speculative reinterpretation of Varaha - The Deep Foundation - as a conceptual test of the adaptability of myths. This reimagining stretches the structure of Varaha to include a higher-dimensional infrastructural ontology. It maintains cosmological functionality of the original myth but removes the anthropocentric aspects. Critical evaluation of the reimagining demonstrates that identity of a myth remains intact even with radical reinterpretations. The results suggest that retelling functions as cultural production, and not distortion. Mythic identity uncovers underlying potential meanings when reinterpreted with coherent cosmologies. In fact, reinterpretation does not undermine tradition; it emphasises the depth and strength of mythic systems.

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Myth Retelling, Cultural Evolution, Ontology, Cultural Function, Cultural Production, Cosmology, Iconography, Texts, Eldritch Horror, Cosmic Horror

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The present study investigates the determinants of social learning among university students in Lucknow, with specific reference to their academic stream and economic status. A sample of 200 students was selected from various universities using an appropriate sampling technique. The study aimed to examine whether differences in social learning exist across study streams (such as arts and sciences) and across varying economic backgrounds. Data were collected using a self-made social learning scale and analysed using appropriate statistical techniques. The findings revealed a significant difference in social learning among students with respect to both academic stream and economic status. Students from different streams exhibited varying levels of transformative, associative and learning through artificial intelligence, while economic status also influenced access to learning resources and social exposure. The study highlights the importance of socio-academic factors in shaping social learning and suggests the need for inclusive educational practices.

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Social Learning, Economic Status, Academic Stream

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In the vibrant tapestry of Indian spirituality the oral narratives of Bulleh Shah and Guru Nanak Dev have been a guiding force which flourished as tales of unity, love and divine connection. Over time traditional stories shift from oral to written mode. Despite that oral narrative presents a wholesome picture of the social acceptance, rejection and reaction to the sufi Philosophy in the region of Punjab. Focusing on Bulleh Shah and Guru Nanak Dev's twin message of loving relation between devotee and God and emphasized on individual's devotion and worship of God rather than orthodox practices of elaborate sacrifices. Bhakti and Sufi movements sprung as socio religious movements which got popularity from their oral tradition. In the oral recitation of these spiritual Narratives, communities find a sense of belonging and cultural unity. The amalgamation of spirituality, oral narrative of Sufi-mysticism become a conduit for embracing a connection to cultural and spiritual roots. Oral narrative of these two act as a living tradition resonating through the voice of those who continue to adapt their verse. This paper will focus on exploring the profound oral tradition emphasizing their specific relevance in the context of contemporary India spirituality and wisdom.The objectives here are to look into the traces of oral narrative within the selected spiritual verse of Bulleh Shah and Guru Nanak Dev. It will throw light on how their narratives serve as a spiritual guidance cultural unity in the diverse and dynamic setting of India.

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Keywords: Oral narratives, Sufi-mystics, Spiritual wisdom, Punjab,Bulleh Shah, Guru Nanak Dev

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o Purpose of the study - To examine financial literacy in India with respect to socio-economic factors and to identify the reasons for variations (low or high) in financial literacy through a comparative analysis of these factors. o Research Methodology - The present study is based on secondary data. It utilizes data published in the 2019 report by the NCFE (National Centre for Financial Education). Additionally, the study employs analytical methods based on reference literature o Conclusions - he study found that financial literacy in rural India is lower than in urban India. The main reason is that many rural communities lack access to financial education. It was also observed that women have lower financial literacy compared to men in India. This is due to various educational and social barriers that make it difficult for women to acquire financial knowledge. In terms of social class, the general caste shows the highest level of financial literacy, while the scheduled caste shows the lowest. This difference exists because of unequal access to education and financial awareness due to the social structure. According to age, the 18-29 age group has higher financial literacy, whereas the 70-80 age group has the lowest. This is because younger people can easily understand modern technology and financial systems, while older people may find it difficult to adapt. Education also plays an important role. People with higher education levels have better financial literacy. When comparing occupations, government employees have the highest financial literacy, as they are more likely to receive training from financial institutions. On the other hand, people working in the agricultural sector have the lowest financial literacy. Finally, financial literacy is lower among low-income groups due to limited access to financial resources and information.

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Financial Literacy, Socio-Economic Factors

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Diabetes Mellitus, Hypertension, Traditional Home Remedies, Herbs, Knowledge, Attitudes, Practices

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Women entrepreneurship is increasingly recognized as a significant contributor to economic development and social empowerment in India. However, the decision of women to engage in entrepreneurial activities is largely influenced by their level of awareness and motivational factors. This study aims to explore the factors that create awareness and encourage women to become entrepreneurs in Surat. A quantitative research design was adopted, and Primary data were generated from 200 women respondents using a structured questionnaire. Key factors such as family support, education and training, financial awareness, government schemes awareness, social influence, and self-confidence were examined in relation to entrepreneurial motivation. Statistical tools including descriptive statistics, correlation analysis, and multiple regression were employed. The findings reveal that self-confidence and family support are the most influential factors, followed by education and awareness-related variables. The study highlights the importance of enhancing awareness, skill development, and psychological empowerment to promote women entrepreneurship. The results provide useful insights for policymakers and institutions to design effective strategies for encouraging women to pursue entrepreneurial activities.

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Women Entrepreneurship, Awareness, Motivation, Entrepreneurial Intention, Surat

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This study will focus on the yearly performance of the scheme (Mukhyamantri Kanya Vivah Yojana) in the state of Chhattisgarh as it relates to financial performance which is examined through budget allocations, funding disbursement & efficiency of budgets through a longitudinal research design that uses secondary data collected from state budget documents, finance accounts & other relevant documents (state government reports) over a period of time. The purpose of this study is to review the trend of allocations, the amount of funds released or disbursed and the actual amount of expenditure against the allocated amount and to determine how closely these three components are consistent and order within a state government funded program/comma program. Expected results of this research will reveal significant variation in funding allocation trend and other types of discrepancies between actual and/or regulatory amounts associated with program funding approvals or budgets which may evidence a lack of effectiveness as a result of delays in administration; ineffective implementation; or shortcomings in policy/administrative design; as well as identifying trends associated with program funding policy/administrative management; and will assess whether the program has become increasingly efficient throughout the duration of its implementation.

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Women Empowerment, Government schems, Mukyamantri Kanya Vivah Yojna, Child development

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The present study investigates science achievement among secondary school students in relation to their scientific attitude, with a focus on institutional differences. A descriptive survey method was employed, and a sample of 195 secondary school students was selected using stratified random sampling from both government and private schools. Self-made tools were used to assess students' scientific attitude and science achievement. The data were analysed using appropriate statistical techniques, including mean, standard deviation, and t-test. The study found a significant positive relationship between scientific attitude and science achievement among secondary school students. A statistically significant difference was observed between students in private and government schools, with students in private schools demonstrating higher levels of science achievement. This difference may be attributed to variations in learning environments, availability of resources, and instructional practices. The study highlights the importance of fostering a scientific attitude as a key factor in enhancing academic performance in science. It also emphasises the need to improve teaching strategies and infrastructural facilities in government schools to bridge the achievement gap. The findings have important implications for educators, policymakers, and curriculum planners.

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Science achievement; scientific attitude; secondary school students.

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The position of Muslim women in India, specifically daughters, still suffers from discrimination in their share of inheritance under the uncodified Muslim Personal Law as governed by the Muslim Personal Law (Shariat) Application Act of 1937. The share of inheritance given to women by the Quran in the 7th century in Arabia is not reflected under the codified laws, where the share of daughters is half of what their brothers get, and the remaining amount goes to the agnates of the male members of the family. This paper seeks to explore the existing framework, identify the inequalities, discuss the judicial precedents, and emphasize the need for reforms in the form of codification, optional application of civil law, or a Uniform Civil Code (UCC). It also aims to focus on landmark and ongoing judgments of the Supreme Court, which reflect the contrast between individual rights and gender justice and suggest reforms that are in correspondence with the Constitution and empower daughters economically and socially. In doing so, the paper adopts a doctrinal and socio-legal approach, examining relevant statutes, judicial decisions, and comparative approaches from other jurisdictions. The research aims to prove that the existing framework is inadequate and needs reform, whether from within or outside personal law.

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Muslim Women, Inheritance Rights, Muslim Personal Law, Gender Justice, Daughters' Property Rights, India, Uniform Civil Code, Constitutional Equality, Legal Reform, Women's Economic Empowerment.

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Bharat aur Nepal Ke Bich Dwipakshiya Kutniti Ka Vikas (2004-2023): Rannitik Badlav Aur Nirantarta Ka Ek Mahatvpurn Vshleshan

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Bharat aur Nepal Ke Bich Dwipakshiya Kutniti Ka Vikas (2004-2023): Rannitik Badlav Aur Nirantarta Ka Ek Mahatvpurn Vshleshan

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Intraday financial markets witness significant fluctuation of prices, which can be rather unpredictable with the use of traditional statistical or econometric modeling. Traditional approaches to forecasting do not take into consideration structural aspects of market liquidity and its influence on trading by institutions. This research attempts to develop an integrated approach based on principles of Market Microstructure and Quantitative Finance for analysis of interaction between liquidity distribution across the price levels and large institutional orders leading to creation of liquidity vacuums that cause price acceleration. Intraday trading in stock market is analyzed under the theoretical and mathematical frameworks that consider how distribution of liquidity along the price levels impacts formation of liquidity vacuums and consequent generation of price acceleration. Liquidity vacuums are considered as zones characterized by insufficient market depth to handle incoming orders, which leads to quick price acceleration. A liquidity mapping model is formulated for determination of liquidity density and existence of liquidity gaps in the limit order book. These liquidity gaps are then associated with institutional trading activities indicating high probability of creation of liquidity vacuums, triggered by large order executions. Mathematical modeling of liquidity imbalance and corresponding order flow pressure leading to expected price acceleration is suggested. In addition, the research outlines a methodology for empirical validation that utilizes intraday high-frequency data to verify the predictive ability of the liquidity vacuum signal. It is anticipated that the findings will indicate that the inclusion of the liquidity structure and institutional orders greatly increases the accuracy of price predictions within intraday periods relative to traditional time series models..

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 Keywords

Liquidity Mapping, Institutional Order Flow, Liquidity Vacuum Intraday Price Acceleration ,Limit Order Book, Order Flow Dynamics , Market Liquidity , Liquidity Imbalance , Intraday Stock Market Prediction ,Price Discovery

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