Volume 12 | Issue 5 |

 Abstract

Motivational Factors Being Important In determining the successes In any form of enterprises. This paper attempts to study the factors that motivates small Farmers toward entrepreneurships. The study is based on sample survey of 50 samples. 5 point Likert scale is used to analyse the motivational Factors. Being independent and desire to earn income were found to be the most important factors motivating the Entrepreneurs. It was found that Entrepreneurs were more motivated by internal factors.

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Motivational Factors, Entrepreneurship , Likert Scale

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This paper enunciates the suppression of the girl children in India. The focus of this paper is to light on the wounded spirit of the girl children in the Indian sociocultural structure concerning Anuradha Roy's Sleeping on Jupiter. Roy's protagonist 'Nomi' is the collective voice of the unrecognized Wounded spirit of millions of girl children in India who lost their identity, voice, rights, and status in the explosion of rich Indian culture. Indian culture is simply a hegemonical culture where women lost their all-inclusive rights. This paper aims to explore the impact of patriarchal hegemony and exploitation on the girl children and how it affects their spirit and alters their entire lives. Children are the world's most valuable resource and its best hope for the future but acts of violence like rape committed against these potential nation-builders or undermining the country. It is extremely difficult to accept that the perpetrators are frequently the big teams of the girl children who underwent the violence by the close ones. They are the ones that the children anticipate up to trust and expect love. When the children weakness to the crime against them, they lose their innocence and their irredeemable childhood. The only thing they could recall from the childhood harassment and the betrayal of their loved ones.

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 Keywords

Girl Children, Anuradha Roy, Sleeping on Jupiter, Indian Culture, Patriarchal Hegemony, Nation-Builders, Innocence, And Childhood Harassment

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This paper presents a comprehensive literature review on Interpretive Structural Modeling (ISM), focusing on its application across various sectors to enhance operational efficiency. ISM is a powerful methodological tool used to analyze complex systems by identifying and modeling relationships among specific variables. Through an extensive examination of existing literature, this review aims to provide a detailed understanding of ISM's theoretical underpinnings, methodological advancements, and practical implementations. The review synthesizes key findings from a diverse range of studies, highlighting the versatility and efficacy of ISM in addressing multifaceted challenges across different industries. By exploring case studies, scholarly articles, and empirical research, this paper seeks to map out the evolution of ISM, its current applications, and future potential. The review emphasizes the role of ISM in dissecting complex problems, facilitating strategic decision-making, and improving operational processes. This literature review aspires to serve as a valuable resource for researchers and practitioners, offering insights into the methodological nuances of ISM and its significant contributions to enhancing operational efficiency in various contexts.

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ISM, ISM-based model, Driving power- dependence analysis.

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Concrete is extensively used material in construction industry because of good workability and ability to be moulded into any shape and size. Steel fibres are generally used as resistance of cracking and strengthening of concrete. This paper deals with comprehensive and detailed study on the behavior of the concrete mixed with steel fiber in place of the traditional reinforcements. In the recent times steel and poly fiber has emerged as the member playing key role in the modern-day concrete in place of the conventional concrete. Steel/ polyfiber is playing a vital role in tunnels (shotcretes, lining), Structure (concrete girder, crash barrier, beams, columns and slab as a replacement to the of concrete to the traditionally used reinforcement

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Steel fibre reinforced concrete, Compressive Strength, Crack resisting, flexural strength

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The study is conducted on educational status of Schedule Cast Community with special reference to Narayanpur Block in Lakhimpur District, Assam. The objective of the study is to find out the present educational status of the SC community and identify the educational problems faced by them in accessing and completing the education. For this study, the investigator used survey method under descriptive research. The data needed for the study has been collected with the help of a self designed questionnaire. There are 270 Schedule Caste households of two selected villages. Out of these households, 40 households are taken as a sample of the study by using random sampling techniques. The study found several challenges have faced by the SC students in accessing quality education such as poverty, parents' illiteracy, poor socio-economic background, poor communication etc.

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Educational Status, Schedule Caste, Community, Households, Education etc.

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Agriculture requires technologies that are easier for farmers to understand, implement, anduse. It is a device that costs less money and requires less human effort and time. Implementation is very necessary for the success of the agricultural industry. That's why we developed an IoT controlled seeding system that helps farmers plant seeds in the right place and save time and money. A machine used in small-scale farming to perform tasks such as plowing, seeding, and picking. Sowing seeds is one of the main processes in agricultural activities. This requires a lot of human effort and time investment. These are the main requirements of growers. Therefore, we have created an automatic operated seeder when the farmer has to do less work, increasing seeding efficiency and reducing the problems associated with automatic seeding.

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Sowing Machine, IOT, Seed and Automatic.

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The model is able to discriminate between damaged and healthy leaves.The intend is to identify realistic techniques to plant protection and support our farmers as an alternative to the old time-consuming process.Using the deep convolutional neural network that we will train, test, and validate.

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Model using ML

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Forensic dentistry is crucial for identifying deceased individuals when visual or other identification methods are not feasible, especially after mass disasters or criminal activities. Accurate and timely identification of the deceased and injured is essential in the aftermath of any disaster. Establishing a person's identity often relies on common methods such as dental, DNA, and fingerprint analyses. Forensic odontology, a specialized branch of dentistry, plays a significant role in identifying individuals involved in accidents, civil unrest, natural and mass disasters, and crimes related to genocide. When natural teeth are absent, marking or labelling dentures becomes vital for personal identification. Incorporating a paper or embossing patient data on dentures can be difficult to read due to the opacity of the acrylic resin. Therefore, using a laser for auto-identification is especially beneficial as it is cost-effective, time-efficient, and less cumbersome.

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Forensic Dentistry, Odontology, Prosthodontics, Lasers, Denture Marking

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Emotion detection and sentiment analysis in textual data have garnered significant attention in recent years due to their wide-ranging applications in fields such as marketing, customer feedback analysis, and mental health monitoring. This paper provides a comprehensive review of various methodologies and techniques employed in the realm of emotion detection and sentiment analysis on text. It explores the evolution of approaches, ranging from traditional machine learning algo- rithms to state-of-the-art deep learning models, highlighting their strengths, limitations, and areas of application. Additionally, this review discusses the challenges associated with accurately identifying emotions and sentiments in text, including ambiguity, sarcasm, and cultural nuances. Furthermore, it examines the impact of domain-specific data and pre-processing techniques on the performance of emotion detection and sentiment analysis models. Finally, this paper concludes with a discussion on future research directions and potential advancements in the field, emphasizing the need for robust and interpretable models to enhance the understanding and utilization of emotional signals in text data.

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sentiments, emotions, machine learning, reviews , API,Text classification

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Abstract:- The word 'LEADER' consists of so many characteristics. But in the case of a political leadership, mass people assume the particular leader only to be eloquent orally. Especially in the recent scenario of political periphery in our country, if would not be wrong to say that the assumption is totally inappropriate. Along with the communication expertise, a leader should be a visionary, resilient, confident, courageous , a prompt decision maker etc. Besides these skills, if a leader does have passion and compassion, it would be a perfect combination for being a high-statured human being. One of the finest states in the north-eastern part of India, Tripura gave birth so many leaders in her lap. The most relevant name in the recent political arena of the state is Sudip Roy Barman, who is an engineer and an advocate in his academics, having a well known family background of high portfolio. An unbeatable MLA for six times in the prestigious seat of 6 No. Agartala, Sudip babu is embellished with some rare qualities which should be ascertained and also be hailed publicly.

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Keywords:- Communication, Passion, people, politics, resilience, compassion, eloquencey, peoples leader, youth icon, legend, Super hero, The emperor of heart.

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