Volume 13 | Issue 6 |

 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digitalization, Pleasure seeking, Trustworthiness and Sensitivity

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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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 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the rising influence of the gig economy and its transformative impact on traditional employment structures. With the proliferation of digital platforms such as Uber, Upwork, and Fiverr, the workforce has increasingly shifted toward short-term, flexible, and freelance-based work. While gig work offers autonomy and income opportunities, it also raises concerns about job security, worker rights, and income stability. The research employs both qualitative and quantitative methods, including surveys of 120 respondents from Coimbatore, to analyze employment patterns, income trends, and worker experiences. Findings reveal a growing preference for gig roles, especially among younger demographics, but also highlight issues like delayed payments and limited access to social security. The study integrates Howard Gardner's theory of multiple intelligences to understand how various skills align with gig and traditional roles. Ultimately, the report underscores the need for policy reforms and balanced labor strategies to safeguard worker welfare in this evolving employment landscape.

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 Keywords

Gig, economy, freelancing, Flexibility, Digital platforms, Autonomy, Employment, Workforce

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

U.S. Federal Reserve changes the Fed Rate to control inflation. Consequently, Changes in the Fed Rate put pressure on developing economies (especially India). Likewise, the Reserve Bank of India changes its Repo Rate on its stance and on account of changes in the Fed Rate to attract the Foreign Institutional investors and Foreign Direct Investments. The purpose of this study is to find the relationship between the Fed rate and the Indian repo rate in the respective countries (U.S. and India), with that of inflation only. Various finance experts believe that the Indian Repo Rate is affected by the Fed rate and other factors like the Dollar Index, Gold rate, US Federal rate, inflation (in the US, India, and the world), and oil prices.The Federal Reserve (U.S.) and the Reserve Bank of India (India) control monetary policy in the respective countries to maintain the excess supply of money to control inflation.The article highlights various suggestions and conclusions. Growth rate and foreign exchange reserves both may positively or negatively affect. Likewise, imports or exports may increase or decrease. FIIs may be tempted to invest/disinvest more by bringing huge volatility in the stock market

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fed Rate, Repo Rate, Inflation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Waste is something that we don't need any more and discard because it's no longer useful to us. These materials are produced by human beings during preparation of food, manufacturing, packing, repacking apart from this industrial waste generate by mining operations and constructions.

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"A QUASI-EXPERIMENTAL STUDY TO ASSESS THE EFFECTIVENESS OF INFORMATION BOOKLET ON KNOWLEDGE REGARDING HOUSEHOLD WASTE MANAGEMENT AMONG HOUSEWIVES OF SELECTED RURAL AREA OF NERCHOWK, MANDI. (H.P) 2023"

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A concrete's durability and mechanical strength can be affected by unoccupied spaces and macropores created by improper vibration and compaction, which can also be one of the reasons why concrete deteriorates. Okamura first developed Self-Compacting Concrete (SCC) in 1986, and it is a well-considered answer to the issues mentioned above. Concrete that compacts itself under its own weight is known as self-compacting concrete and requires no further effort to do so. Numerous studies have been conducted to examine the behaviour of plain SCC. Additionally, numerous studies from the past have shown that different fibres can be used to enhance the structural qualities of concrete. But here the combination of steel fiber and recycled concrete aggregates on the flexural behavior of SCC to be investigated. Steel fibres are added to concrete at several rates (0%, 0.5%, 0.75%, and 1%) and recycled concrete aggregate is used to replace coarse aggregate to a certain extent 25%. Cubes, Cylinders, Prisms and RCC beams were casted. Also founded the properties of fresh and hardened concrete. It had been found that the RCASF 3 mix performed better than the RCASF 1 and RCASF 2 replacement mixes. Results from the experiments and analytical were examined. Results from analytical are slightly lower to those from experiments.

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 Keywords

Self-Compacting Concrete, Steel Fibers, Recycled aggregates, Compressive Strength, Flexural Strength, Split-tensile strength

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Creative Commons Attribution 4.0 and The Open Definition