Volume 13 | Issue 2 |

 Abstract

The asset management industry is undergoing a transformative shift driven by advancements in big data analytics and machine learning (ML). This paper explores the integration of these technologies into portfolio optimization, highlighting their potential to enhance decision-making, risk management, and returns. By leveraging vast datasets--ranging from market data to alternative data sources like social media sentiment and satellite imagery--machine learning algorithms can uncover hidden patterns and generate predictive insights. This study examines the application of ML techniques such as reinforcement learning, neural networks, and natural language processing (NLP) in asset allocation, risk assessment, and performance prediction. Through a combination of theoretical analysis and empirical data, the paper demonstrates how these technologies are reshaping traditional financial models and creating new opportunities for investors. The findings suggest that the future of asset management lies in the seamless integration of human expertise and machine intelligence, paving the way for more adaptive and resilient investment strategies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Asset Management Industry, Big Data Analytics, Machine Learning (ML), Portfolio Optimization, Decision-Making, Risk Management, Investment Returns, Market Data, Alternative Data Sources, Social Media Sentiment, Satellite Imagery, Predictive Insights, Machine Learning Algorithms, Hidden Patterns, Reinforcement Learning, Neural Networks, Natural Language Processing (NLP), Asset Allocation, Risk Assessment, Performance Prediction, Financial Models, Empirical Data, Human Expertise, Machine Intellige

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Creative Commons Attribution 4.0 and The Open Definition

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This review manuscript examines the protective effects of corn silk extract (Zea mays) against lithium carbonate-induced renal toxicity in rats. Lithium carbonate, widely utilized as a mood stabilizer for bipolar disorder, has been associated with significant renal damage, manifesting as lithium-induced nephropathy. The review highlights the complex mechanisms underlying lithium nephrotoxicity, including oxidative stress, inflammation, and alterations in renal fluid balance, leading to chronic kidney disease. Given the potential adverse effects of long-term lithium use, there is an increasing interest in natural compounds that can mitigate these renal injuries. Corn silk, known for its diuretic, anti-inflammatory, and antioxidant properties, has shown promise in reducing kidney damage caused by nephrotoxic agents. The manuscript synthesizes existing research on the biochemical, histopathological, and molecular effects of corn silk extract, emphasizing its potential as a renoprotective agent. The findings suggest that corn silk extract could serve as a complementary treatment to reduce the risk of renal damage in patients undergoing prolonged lithium therapy. However, further clinical studies are required to validate its efficacy and safety in humans, as well as to explore optimal dosages and interactions with other nephrotoxic drugs. This review underscores the importance of investigating natural remedies in the context of pharmaceutical treatments, especially for vulnerable populations reliant on long-term medication.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Corn Silk Extract ,Lithium Carbonate ,Nephrotoxicity , Oxidative Stress ,Renal Protection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Unique Disability Identification Number project is a flagship project of Prime Minister Office create a national database for the persons and was launched in September 2016 The national project to convert disability certificate into unique disability identity cards new UDID was launched to ensure that persons with disability able all government benefits irrespective of the domical status UDID card with an 18 digit number was designed to ensure that benefits reach the deserving beneficiaries eliminate the possibility of duplication and allow tracking of benefits director at individual based on the nature of the disability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Unique Disability Identification card, Scheme eligibility persons and apply by UDID card.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the service quality of Lulu Hypermarket in Coimbatore City, focusing on key dimensions such as tangibility, reliability, responsiveness, assurance, and empathy. The research aims to understand how demographic factors influence customer perceptions of service quality and their impact on customer satisfaction, trust, and loyalty. Using a structured survey methodology with over 150 respondents, statistical analyses such as ANOVA and Chi-square tests were conducted to identify significant relationships between service quality factors and customer behaviour. The findings indicate that first-time visitors report the highest satisfaction, while monthly visitors show lower satisfaction levels. However, no significant association was found between demographic factors like age and gender and customer perceptions of service quality. The study highlights the importance of employee behaviour, technological integration, and personalised customer engagement strategies in enhancing customer experience. Recommendations include improving store ambiance, inventory management, and targeted marketing efforts to increase customer retention and loyalty. The study provides valuable insights for Lulu Hypermarket's management to enhance service quality and maintain a competitive edge in the retail market.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Service Quality, Customer Satisfaction, Retail Management, Consumer Perception, Lulu

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Empathy is very important in psychiatric nursing, greatly affecting how patients are cared for. The complicated nature of mental health issues means nursing students need to understand their patients' experiences well. Studies show that learning through experiences, like simulations that let students step into the shoes of those with personality disorders, can greatly improve empathy in nursing students. This method not only reduces stigma but also helps students better understand the feelings and thoughts of patients, leading to better interactions and support. Furthermore, research indicates that psychiatric nursing is centered on building therapeutic relationships, promoting patient involvement, and ensuring a safe care environment. Therefore, developing empathy in nursing education is crucial, as it improves the care patients receive and enhances their overall treatment experiences in psychiatric environments. The views and caring traits of nursing students are very important for patient care results, especially in psychiatric nursing. This review shows that good attitudes create a supportive atmosphere that improves patient involvement and aids in healing, while empathy helps nursing students relate to patients by understanding their feelings and experiences. The empathy filled bond builds trust and encourages a complete approach to care, which is crucial in mental health settings. The connection between a nurse's outlook and their capacity to provide caring support influences not just patients' immediate welfare but also their ongoing mental health outcomes. Thus, it is essential for nursing schools to focus on developing both positive attitudes and caring abilities, so future nurses can effectively address the complicated emotional and psychological needs of their patients.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Empathy, mental health nursing, clinical knowledge, undergraduate nursing students, patient care

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT "Liberty cannot be preserved without a general knowledge among the people, who have a right and a desire to know" --John Adams In today's world we live in Democracy which is considered the best governance system because of its qualities like Transparency, Rights, Liberty, and the right to elect their own leader by themselves this process is called election. This process has to be transparent and corruption free because this process is the sole spirit of democracy but in contemporary times we have come across the recent ruling of Honorable Supreme Court of India in which the electoral bonds were declared unconstitutional on the ground that they are curbing the right of people to know and it is also working as a handy man to help black money to get to political parties without disclosing their identities to the people of India this is increasing the impurities in the sole spirit of Democracy: the election. This paper examines the perspective of The Supreme court, The Ruling Party, and the Opposition Party. It highlights the noteworthiness of the topic by emphasizing how the court upheld democratic principle of transparency against potential abuse of anonymous political funding.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORDS: Democracy, Transparency, Rights, unconstitutional, anonymous, Political funding

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sentiment analysis in social media has garnered significant attention due to its applications in understanding public opinion, market trends, and user feedback. This research paper explores the effectiveness of sentiment analysis techniques leveraging artificial intelligence (AI) in various social media platforms. It examines the methodologies, challenges, and advancements in AI that contribute to enhancing sentiment analysis accuracy and applicability. The study evaluates several AI models, including Support Vector Machines (SVM), Naive Bayes, Recurrent Neural Networks (RNN), Long Short-Term Memory networks (LSTM), Convolutional Neural Networks (CNN), and transformer-based architectures such as BERT. By comparing these models across multiple metrics--accuracy, precision, recall, F1-score, and ROC-AUC--our findings highlight the superior performance of modern deep learning approaches, particularly BERT. Additionally, the paper discusses practical applications and case studies, illustrating the real-world impact of AI-powered sentiment analysis in areas such as crisis management, political analysis, brand reputation management, and customer service improvements.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment Analysis, Social Media, Artificial Intelligence (AI), Natural Language Processing (NLP), Deep Learning, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India has witnessed major reforms in taxation since 1991. Introduction of VAT was a major breakthrough in the reforms of indirect taxes in India. But both CENVAT and VAT also have shortcomings. The Goods and Service Tax (GST) is one of the biggest taxation reforms in India, the decision on which is pending in Parliament since March 2011. The central idea behind this form of taxation is to replace existing levies like value-added tax, excise duty, service tax, and sales tax by levying a comprehensive tax on the manufacture, sale and consumption of goods and services in the country. GST is expected to unite the country economically as it will remove various forms of taxes that are currently levied at different points. The present paper attempts to highlight the major implications of the introduction of GST in India. The study, based on secondary data, highlights the impact of GST on micro and macro level of the economy. It is suggested that GST need to be implemented at the earliest to reap the benefit of it.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEY WORDS: VAT, CENVAT, GST, Impact, Revenue.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The agricultural sector faces significant challenges related to human health and labor intensity during pesticide application. This project proposes the development of an intelligent agricultural pesticide-spraying robot video streaming to address these issues. Controlled via an Android application, the robot integrates components like an Arduino Uno, DC motors, servo motors, and a Bluetooth HC-05 module for efficient and precise navigation and spraying operations. Additionally, temperature and humidity sensors optimize spraying conditions. By automating pesticide application, the robot minimizes direct human contact with harmful chemicals, reduces pesticide use by up to 30%, and promotes sustainable farming practices. This innovation not only enhances agricultural safety but also reduces labor demand, encouraging wider adoption of robotics in farming. such as the inclusion of an ESP32-CAM for real-time monitoring, further highlight the potential of this technology in modernizing agricultural processes

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agricultural sector, Pesticide application, Intelligent agricultural robot, Pesticide-spraying robot, Video streaming, Android application, Arduino Uno, DC motors, Servo motors, Bluetooth HC-05 module, Navigation and spraying operations, Temperature and humidity sensors, Sustainable farming, Automation, Agricultural safety, Robotics in farming, ESP32-CAM, Real-time monitoring, Labor reduction, Chemical exposure reduction, Precision agriculture.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Financial inclusion and access to credit serve as crucial and motivational factors in empowering tribal women and fostering entrepreneurship. Nevertheless, despite numerous policy efforts, many tribal women continue to face obstacles in accessing formal credit due to limited financial literacy, inadequate banking facilities, and various socio- cultural challenges. This paper explores the role of microfinance, self-help groups (SHGs), cooperative banks, and government-supported credit schemes in creating entrepreneurial opportunities. The findings established that advancement in financial services such as digital banking, microcredits initiatives, and targeted financial literacy contribute to the sustainability of business enterprises and income generation. Mentorship, social support networks, and market connections significantly bolster the tribal women's enterprises. The study identifies the need for more inclusive financial products that address their specific needs, and it posits that the nexus of policymakers, financial institutions, and non-governmental organizations is essential. Financial inclusion, therefore, aims at addressing financial inequalities and ensuring equitable access to credit, which acts as a catalyst for social and economic transformation, thus advancing gender-responsive development within tribal communities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial inclusion, access to credit, tribal women, entrepreneurship, microfinance, self-help groups (SHGs), financial literacy, economic empowerment, digital banking, gender-inclusive development.

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Creative Commons Attribution 4.0 and The Open Definition