Volume 13 | Issue 2 |

 Abstract

Baccho ke mansik vikas mein mata-pita aur adhyatm ki bhoomika

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Baccho ke mansik vikas mein mata-pita aur adhyatm ki bhoomika

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Baccho ke mansik swasth pr internet ki bhoomika

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Baccho ke mansik swasth pr internet ki bhoomika

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The integration of blockchain and quantum cryptography into cloud security is poised to revolutionize the way sensitive data is protected in the digital age. Cloud computing, while offering scalable and cost-effective solutions, faces increasing threats from cyberattacks that compromise data integrity and privacy. Blockchain, with its decentralized and immutable ledger system, offers a robust mechanism for securing data by ensuring transparency, traceability, and resistance to tampering. It allows for secure and verifiable transactions, which is crucial for maintaining the confidentiality of cloud-based data. Quantum cryptography, on the other hand, leverages the principles of quantum mechanics to provide ultra-secure encryption methods, making it nearly impossible for attackers to decrypt data without detection. Together, blockchain and quantum cryptography create a dual-layered defense system that enhances both data privacy and security in cloud environments. This combination addresses the growing need for next-generation security protocols to protect against sophisticated cyber threats and quantum computing's potential to break existing encryption methods. This paper explores the synergy between these two technologies, highlighting their potential to safeguard sensitive information, foster trust in cloud services, and pave the way for a secure, data-centric future in the cloud computing era.

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Blockchain, Quantum Cryptography, Cloud Security, Data Privacy, Post-Quantum Cryptography, Zero-Knowledge Proofs (ZKP), Multi-Party Computation (MPC), Quantum Key Distribution (QKD)

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A Critical Analysis of Nathaniel Hawthorne's The Scarlet Letter Abstract: Nathaniel Hawthorne's The Scarlet Letter (1850) is a seminal work in American literature, offering profound insights into themes of sin, guilt, and redemption. This paper critically examines the novel's exploration of Puritan society, its psychological depth, and its symbolic complexity. By analyzing key characters, motifs, and Hawthorne's narrative techniques, this study highlights how The Scarlet Letter remains a timeless reflection on human morality and societal hypocrisy. Introduction: Hawthorne's The Scarlet Letter is set in 17th-century Puritan Massachusetts and revolves around Hester Prynne, a woman condemned to wear a scarlet "A" as punishment for adultery. The novel delves into themes of sin, punishment, and identity while critiquing the rigid moral codes of Puritan society. This paper aims to explore the novel's psychological depth, its symbolic elements, and its critique of oppressive social structures. Theme of Sin and Redemption: The novel presents a nuanced view of sin, showing how individuals respond differently to guilt and shame. Hester Prynne transforms her punishment into a symbol of resilience and grace, while Arthur Dimmesdale, her secret lover, suffers privately under the weight of his concealed sin. Roger Chillingworth, Hester's estranged husband, represents vengeance and the destructive power of unbridled obsession. Through these characters, Hawthorne illustrates how sin can lead to both destruction and redemption. Symbolism in The Scarlet Letter Hawthorne employs rich symbolism to enhance the novel's thematic depth. The scarlet letter itself evolves from a mark of shame to a symbol of strength and defiance. Pearl, Hester's daughter, embodies the living consequence of sin but also serves as a force of truth and transformation. The forest represents freedom and natural law, standing in contrast to the rigid structures of Puritan society. These symbols reinforce Hawthorne's critique of societal norms and the complexities of human nature. Puritan Society and Hypocrisy: Hawthorne's portrayal of the Puritan community reveals its inherent contradictions. While society claims to uphold morality and justice, it often fosters hypocrisy and cruelty. The public shaming of Hester contrasts with the hidden sins of figures like Dimmesdale, highlighting the discrepancy between appearance and reality. Hawthorne suggests that true morality is not dictated by rigid laws but by individual conscience and empathy. Narrative Style and Psychological Depth: Hawthorne's use of a third-person omniscient narrator allows for deep psychological exploration of his characters. His introspective and descriptive style immerses readers in the moral dilemmas faced by Hester, Dimmesdale, and Chillingworth. Through internal monologues and symbolic imagery, the novel captures the torment of hidden guilt and the complexities of human emotions. Conclusion: The Scarlet Letter remains a powerful exploration of sin, identity, and societal oppression. Hawthorne's masterful use of symbolism, psychological depth, and critique of Puritan values make the novel a timeless piece of literature. By examining how individuals confront their past and seek redemption, The Scarlet Letter continues to resonate with contemporary readers and scholars alike.

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Keywords: The Scarlet Letter, Nathaniel Hawthorne, sin, redemption, Puritan society, symbolism, morality, psychological depth

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The Fertilizer Industry is one of the most and core industry in India. In India there are many large and developing industries (Crude oil, Coal, Refinery, Cement, Textile, Steel, FMCG, Agriculture) and has significant contribution to GDP of India. The main Objective of the study is to analyse the Working Capital Management Ratios and Net Profit Margin of company during the study period is 2019-20 to 2023-24. Data Collection is based on secondary data collection method. Sample Selection is judgemental non parametric sampling method is used. For Data Analysis ANOVA test is applied for Analysis of Working Capital Ratios and NPM, Correlation is used to know the relationship between Working Capital and Profitability and Regression is used know the how many impact is working of Working Capital on Profitability for selected companies. Findings is that are is no significant impact of Working Capital on Profitability.

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CR- Current Ratio, QR- Quick Ratio, ITR- Inventory Turnover Ratio, CashR- Cash Ratio, NPM- Net Profit Margin, WCM- Working Capital Management

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This survey explores the evolving landscape of adversarial attacks on neural networks, with a focus on sponge attacks, which exploit the efficiency mechanisms of multi-exit networks (MENs) to maximize energy consumption and inference latency without degrading classification accuracy. Sponge attacks pose significant challenges to real-time applications like autonomous systems and healthcare diagnostics by negating the computational efficiency of MENs. Additionally, the survey examines the broader context of adversarial and backdoor attacks, such as data poisoning, which target model integrity during training. Recent advancements in defensive mechanisms, including certified defenses against poisoned data, defensive data augmentation, and anomaly detection, are analyzed for their effectiveness in addressing these threats. The role of real-time attack response systems (RTARS) and multi-exit architectures in mitigating latency-based attacks is also explored. Key findings highlight that while anomaly detection and pre-filtering techniques provide foundational security, gaps remain in handling hybrid and evolving adversarial threats like sponge poisoning. This survey concludes by identifying the necessity of integrating hybrid detection mechanisms--combining anomaly detection, real-time monitoring, and data augmentation--to enhance the robustness of neural networks against sponge attacks and other adversarial challenges, ensuring secure and efficient deployment in critical applications.

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Anomaly Detection, Defensive Data Augmentation, RTARS, Neural Networks, Machine Learning.

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The Indian e-commerce sector has witnessed rapid expansion with the advent of digital marketplaces, leading to challenges in demand forecasting and inventory management. This study aims to predict product demand using time series models such as ARIMA, TBATS, and Autoregressive Neural Networks (AR-NN). Historical sales data from Indian e-commerce platforms is analyzed to identify trends, seasonal variations, and demand fluctuations. The models are evaluated based on Root Mean Square Error (RMSE) to determine their forecasting accuracy. The results indicate that ARIMA performs best for stable seasonal patterns, TBATS for irregular trends, and AR-NN for non-linear demand fluctuations. This research provides valuable insights for Indian e-commerce businesses to optimize inventory management, enhance supply chain efficiency, and improve overall customer satisfaction.

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ARIMA, TBATS, Artificial Neural Network (AR-NN), Time Series Forecasting, E-commerce Demand, Inventory Optimization, Indian Market, Predictive Analytics, Machine Learning in Retail, Supply Chain Forecasting, Seasonal Demand Prediction, Consumer Behavior Analysis, Retail Sales Forecasting, Data-Driven Decision Making, Demand Planning, E-commerce Logistics, AI in Demand Forecasting, Business Intelligence in Retail, Sales Trend Analysis, Deep Learning for Demand Estimation.

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Focus of the researcher in present investigation was to understand about the contribution of velocity of the run-up and power of leg muscles on performance of horizontal jump as those are most influential factors to achieve the higher performance level in competition. To fulfill the purpose, 30 male district level horizontal jumpers were selected as subjects from different coaching clubs of North 24 Parganas, South 24 Parganas and Kolkata district of West Bengal for the present study. Their age were ranged from 12 to 14 years. Velocity of the run-up, power of leg muscles and performance of horizontal jumpers were measured through time of run up, Hop test and Running Broad Jump respectively. In order to analysis the data and find out the relationship, Pearson product moment correction of coefficient was applied. Further Multiple Correlation was applied to find out the combined effect of velocity of the run-up and power of leg muscle on performance of horizontal jump. Level of significance was set at 0.05 level. The researcher found significant relationship between velocity of run-up & performance in horizontal jump and also between the power of leg muscle & performance in horizontal jump. Researcher also noted that velocity of run-up and power of leg muscle both has a combined effect on performance in horizontal jump.

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Key words: Velocity of run-up, Power and Horizontal jump.

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The job market for Business Intelligence (BI) and Analytics graduates has witnessed exponential growth due to the increasing reliance on data-driven decision-making across industries. With businesses leveraging Artificial Intelligence (AI), Big Data, and Machine Learning (ML), the demand for professionals skilled in BI, data visualization, and predictive analytics is at an all-time high. This study explores key job market trends, highlighting the most in-demand skills, industry-wise hiring patterns, salary expectations, and career growth opportunities for BI and analytics professionals. Our findings indicate that SQL, Python, Power BI, and Tableau are the most sought-after technical skills, while problem-solving, Guide: Dr. Deepak. Agarwal Department of Management Malwanchal university Indore M.P. communication, and business acumen are critical soft skills. The IT, BFSI, and e-commerce sectors lead in hiring BI professionals, with expanding opportunities in healthcare, telecom, and manufacturing. Emerging technologies, including AI-driven BI, cloud computing, IoT analytics, and augmented analytics, are reshaping the landscape, making continuous upskilling and certifications essential for career advancement. Despite the rising demand, challenges such as skill gaps, increasing competition, and evolving technology trends present hurdles for new graduates. This paper provides a comprehensive outlook on the current and future job landscape for BI and analytics graduates, offering valuable insights for students, educators, and industry professionals navigating this evolving field.

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Business Intelligence (BI), Data Analytics, Job Market Trends, Artificial Intelligence (AI), Machine Learning (ML),Big Data, Predictive Analytics, Data Visualization, SQL, Python, Power BI, Tableau, Cloud Computing, Data-Driven Decision Making, BFSI Sector, E-Commerce Analytics, Healthcare Analytics, IT and Software Industry, Career Growth in BI, BI Tools and Technologies, Emerging Trends in Analytics, Interdisciplinary Roles in BI, Soft Skills in Analytics, AI-Driven BI, Augmented Analytics

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Empowered citizens are the leaders of tomorrow. Integration of values into education not only produces informed empathetic individuals but also empowered leaders whose decision making would be grounded in principles of integrity, respect, and social justice. People respect other people with high moral standards. Freedom is found in not yielding to our basest desires, but in living openly and cooperatively with others rather than secretively and fraudulently. The paper Cultivating Leaders of Tomorrow: The Transformative Impact of Value-Driven Education, aims to reflect upon- that it is time to look beyond structural and institutional reforms to reduce opportunities for corrupt conduct, and enforce anti-corruption provisions. It is time to focus on individual moral education and training to reduce the number of motivated actors seeking unethical advantage. Education enlightens individuals about the adverse effects of corruption on society, economy, and governance. It raises awareness about the importance of ethical behavior and the consequences of engaging in corrupt practices. The purpose of education against corruption, in general, is to build values and develop the knowledge, skills and attitudes necessary to shape students' civic stance against corruption. In the paper developing upon importance of value based formal and informal education an attempt would be made to establish the relation between education and corruption.

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Journey, I, We, Self-development, Empathy, Education, Corruption

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