Volume 13 | Issue 6 |

 Abstract

Stock markets are more sensitive to market information whether it is positive or negative it will significantly impact on stock price. The aim of this paper is to analyze stock price on corporate action that is particularly dividend announcement that effect on stock price. Thus, this study attempts to analyse impact on dividend announcement on stock price of Reliance Industries Limited (RIL). For the purpose of study secondary data was collected from Bombay Stock Exchange ( BSE). Data are collected for 30 prior to dividend announcement and 30 days after dividend announcement and shorter window of 5 days are also analyzed. The study employs various tools such as Event study Methodology, Market Model and t test. This research paper concludes that the stock market reacts to dividend announcement in the post announcement period. Index Term - Dividend, Event Study, Market Model, Abnormal Return

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Dividend, Event Study, Market Model, Abnormal Return

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 Abstract

Nasha mukti evam yoga

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Nasha mukti evam yoga

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: Structured Teaching Programme, Computer Vision Syndrome, Nursing Students, Knowledge Assessment, Chi-square Test

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This study investigates the relationship between mathematics achievement and the family environment of secondary school students, as well as the influence of varying levels of family environment on mathematics achievement. The primary aim of the research is to examine the relationship between students' performance in mathematics and their family environment and to compare the mathematics achievement of students across different levels of family environment to test the stated hypotheses. The Family Environment Scale developed by Harpreet Bhatia and N.K. Chadha was used to assess the family environment of students. Mathematics achievement was measured using students' academic scores in mathematics, as recorded in school records. The sample comprised 210 Class IX students selected from a varied schools (government, private aided and unaided) in Bengaluru Urban District. Data analysis was conducted using Karl Pearson's Product Moment Coefficient of Correlation and one-way ANOVA (F-test), followed by Scheffe's Post Hoc Analysis where the F-value was found to be significant. The statistical analysis was carried out using SPSS software and MS Excel, with significance levels set at 0.05 and 0.01. The findings of the study provide valuable knowledge into how the family environment influences students' achievement in mathematics. The correlation analysis revealed a significant positive relationship between mathematics achievement and the family environment. Additionally, the ANOVA results indicated a significant difference in mathematics achievement among students with varying levels of family environment. Students from a high-quality family environment scored significantly higher in mathematics compared to those from moderate or low family environments. This may be attributed to the fact that a conducive and supportive family environment plays a crucial role in enhancing students' performance in mathematics.

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Family Environment, Mathematics, Achievement, Secondary School Students

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Fish farming is one of the fastest growing manufacturing businesses in many parts of the world as the demand for fish and processed fish feed is increasing day by day. Fish farming is also known as aquaculture, breeding, rearing, collecting fish and many other organisms. It is also defined as a breeding species that thrives in an aquatic environment under controlled conditions. In India the fish farms are still controlled and managed in the traditional way where the fish feeding and management of water is still handled manually. This paper deals with the design and implementation of an internet of things (IoT) based system for real-time monitoring, control and management of fish farming. This proposed system design will remotely monitor the pH level, turbidity and temperature of water. Sensors are installed in this system to receive data. This IoT based system also consist of controlled feeding system and an aerator for management of water.

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Fish farm, Internet of Things,Real time monitoring and management

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This study investigates the correlation between fintech adoption and sustainable financial behaviors in Odisha, India. Driven by rapid fintech growth, marked by widespread digital payments, mobile banking, and online investment platforms, the research explores if fintech usage influences individuals' engagement in environmentally and socially responsible financial practices. Data from 470 respondents, stratified by demographics and geography, were analyzed using frequency, percentage, and Pearson correlation techniques. Results show a strong positive correlation (r=0.61, p<0.01) between fintech adoption and sustainable financial behaviors, notably in areas like ESG investments, ethical banking, and paperless transactions. Fintech adoption is particularly prevalent among educated, urban youth, aligning with a higher propensity for sustainability-conscious financial decisions. However, moderate engagement with digital lending and ESG investment indicates potential barriers, highlighting a need for enhanced educational initiatives and simplified fintech solutions. The study underscores fintech's critical role in promoting sustainable finance, bridging knowledge-action gaps through targeted interventions. These findings provide valuable insights for policymakers, fintech enterprises, and educational institutions aiming to leverage fintech as a strategic tool for achieving sustainable economic development goals in Odisha and similar regions, contributing significantly to existing fintech and sustainable finance literature.

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ESG Investments, Fintech Adoption, Financial Behavior, Odisha, Sustainable Finance

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The rapid advancement of deep learning technologies has led to a surge in deepfake media--synthetically generated images and videos that closely mimic real human appearances and expressions. These forgeries pose a significant threat to digital security, privacy, and the credibility of online content. This paper explores a hybrid deep learning framework that integrates Convolutional Neural Networks (CNNs) for feature extraction with Support Vector Machines (SVMs) for classification to enhance the accuracy and robustness of deepfake detection. CNNs are leveraged to automatically learn and extract high-dimensional spatial features from facial images and video frames, while SVMs provide a powerful mechanism for discriminating between real and manipulated media based on the extracted features. Experimental results across multiple deepfake datasets demonstrate that the hybrid CNN-SVM model outperforms traditional standalone models in terms of precision, recall, and F1-score, showcasing its effectiveness for real-world deployment. The proposed approach offers a promising direction for combating the proliferation of deepfakes through intelligent fusion of deep and classical machine learning techniques.

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Deepfake Detection, Hybrid Deep Learning, Convolutional Neural Networks (CNN), Support Vector Machine (SVM), Feature Extraction, Image Forensics, Multimedia Security, Fake Media Identification.

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Digitalization of stock market is core phenomena of investment and their multiple effects have seen in connection to investor perception in recent past. It also give an access to the shareholders all over to globe to get familiar with a safe and pleasure seeking anticipation while making investment in stock market. The digitalization of stock market in the present paper focusing the independent variables which the researcher observed from their own study which are shifted the perception of investor after digitalization of Stock Market. The intention behind this paper is to provide a comprehensive overview of the factors which absolutely change the perception of investors to invest after the period of digitalization. The significant change in the working of stock market also witness in recent past and also resulting to rethink the role of investors in digital world. In order to get familiar with this unknown measures the present study taken into consideration and also to know the extent of digitalization has an impact on safety, trustworthily and sensitively and others aspects with the change in technology.

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Digitalization, Pleasure seeking, Trustworthiness and Sensitivity

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With the advancement of technology, it is imperative to exalt all the systems into a user-friendly manner. The Library Management system (LMS) acts as a tool to transform traditional libraries into digital libraries. In traditional libraries, the students/user has to search for books which are hassle process and there is no proper maintenance of database about issues/fines. The overall progress of work is slow and it is impossible to generate a fast report. The librarians have to work allotted for arranging, sorting books in the book sells. At the same time, they have to check and monitor the lend/borrow book details with its fine. It is a tedious process to work simultaneously in different sectors. LMS will assist the librarians to work easily. The LMS supports the librarians to encounter all the issues concurrently. The users need not stand in a queue for a long period to return/borrow a book from the library. The single PC contains all the data in it. The librarians have to assess the system and provide an entry in it. Through LMS the librarian can find the book in the bookshelves. The LMS is designed with the basic features such as librarian can add/view/update/delete books and students' details in it. Once he/she ingress into the system they can modify any data in the database. The complete model is developed in Dot net technology, whereas the SQL server is exploiting as database. The authorized person can only access the LMS system, they have to log in with their user id and password. As aforementioned that the LMS is designed in a user-friendly manner, so the admin can smoothly activate the system without expert advice. Every data is storing and retrieving from the SQL database so it is highly secure. Thus our system contributes its new approach towards the digital library setup.

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Library Management System (LMS) .NET SQL Server Database Management System (DBMS) Iterative Model User Authentication Digital Library LAN Integration Fingerprint Recognition Software Development Life Cycle (SDLC)

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Many consumer items, including soap, mouthwash, shower gels, hand-wash, shampoo, deodorants, and antibacterial lotions, contain TCS. TCS is environmentally resistant and persistent due to its aromatic character and significant chlorination. One of the manufactured antimicrobials that is persistent in the environment and a major cause for concern is triclosan. When various species are exposed to TCS, cross-resistance--that is, resistance to TCS followed by resistance to antibiotics--develops. Exposure to TCS can result in a number of negative effects, including endocrine disruption, liver carcinogenesis, liver fibrosis, and antibiotic resistance. Low-dose exposure to TCS exacerbates colon inflammation and colon carcinogenesis linked to the development of colitis, indicating negative consequences of TCS exposure on gut health. Alpha diversity in the gut microbiota of children who were fed breast milk containing TCS was lower than that of children whose TCS levels were undetectable. Children who were fed breast milk containing TCS also showed modulation of abundant species.

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antibiotic resistance, cross-resistance, efflux pumps, gut microbiome, triclosan

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