Volume 12 | Issue 3 |

 Abstract

The study revolves around understanding the financial distress experienced by Jet Airways.This study aims to investigate the factors that contributed to their financial difficulties, the consequences for stakeholders, and potential avenues for recovery. By examining these specific cases, the study seeks to provide insights into the challenges faced by airlines in a competitive industry and identify the key factors that lead to financial distress. Such insights are crucial for developing effective risk management strategies and offering valuable lessons to stakeholders, policymakers, and industry participants in order to mitigate future financial crises. The study's findings will contribute to the body of knowledge on airline financial distress and aid in the development of strategies for the survival and sustainability of airlines in the face of similar challenges.

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 Keywords

Financial Distress, Airlines, jet airways, financial ratios, financial distress models

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 Abstract

The Study Assistant is a novel technological solution designed to ad- dress the common issue of student distraction during study sessions. This study provides an extensive analysis of the development, functionality, and potential impact of the Study Assistant on student motivation and productivity. The Study Assistant leverages facial and eye detection al- girths to monitor students' behavior during study sessions. By accurately identifying instances of closed eyes or signs of disengagement, the system promptly issues alerts and reminders, facilitating the maintenance of focus. Additionally, the assistant incorporates reminders for sedentary breaks and hydration, fostering healthy study habits and mitigating the effects of fatigue. This research paper presents a comprehensive examination of the seamless integration of the Study Assistant prototype, utilizing Raspberry Pi and an array of hardware components. It delves into the implementation of facial and eye detection algorithms and provides a detailed discussion on the recording of study session durations, enabling effective tracking of progress toward predefined goals. The Study Assistant holds considerable potential for enhancing student engagement, minimizing dis- tractions, and promoting optimal study habits. By offering an innovative and supportive solution, this research contributes significantly to the field of educational technology.

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 Keywords

Student Motivation, Facial detection and eye detection, Raspberry Pi, minimizing distractions

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 Abstract

India has been using Ayurveda for health purposes since the time of the Vedic era. It is still one of the most antiquated medical science systems in use today. Given that Ayurvedic medicine uses a large number of medicinal plants, it is crucial to correctly identify the plants that are utilized to make medication. Typically, knowledgeable professionals with advanced training in this sector identify the suitable medicinal plants. From generation to generation, people are passing along their expertise of how to identify these therapeutic herbs. Nonetheless, there is potential for mistakes or poor judgment because the identification is entirely dependent on human perception. The drug becomes useless when the raw components are incorrect or replaced. It may possibly have some adverse consequences.This calls for the development of an effective technique that can correctly identify the Ayurvedic plant from leaf samples. Shape, color, and leaf texture are the primary characteristics that are needed to identify a medicinal plant. Vital characteristics like leaf color and texture can be used to determine the exact species to which a given plant belongs. This will ultimately increase the medication's efficiency. The goal of this research is to develop an intelligent system that, using the input leaf sample as a basis, can identify the species of plant. This study investigates a green leaf's feature vectors in order to derive a special set of feature parameters that optimize identification accuracy. This distinct feature collection serves as the basis for classifying the leaf samples.

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 Keywords

CNN, ANN, Data Augmentation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

21st century is the century of 'science and technology'. The modern technology, a boon for every sector, can be realized in education also. Technology greatly helps individual on the path of academic integration. Academic integration is tied with the status and personal characteristics of an individual that contributes towards an ethical and moral system of the concerned institution. It includes values and norms in each and every academic work which leads to proper functioning of academic institute with ethics and principle which ultimately leads to excellence. The concept of academic integration, evolved from its traditional view of character development, is more a social perspective now. Along with the advancement of science and technology, people are exposed to global world where technology plays an important role in social networking. This paper deals with the influence of science and technology in maintaining academic integration. It focuses on the two fold influence of technology on the educational system and how it ultimately impacts upon academic integrity. The two fold influence includes the factors that foster academic integrity and the factor in the contrary which creates academic dishonesty leads to deterioration of academic integrity. In former case, Technology fosters academic integrity with its wider scope for learning. For instance, information and communication technology provides a large forum in many websites for open discussion to people all over the world who can participate in the forum and put forth their views. In other way, in academic institution, the data base of the information related to all concerned accelerates the academic process in terms of easy access, perseverance and utilization of all information's. In classroom learning, ICT has greater impact in building student's social skills and coherence among the peers and other members of the society through synchronous e- learning where they can avoid the feeling of isolation. In asynchronous learning students can be able to follow the curriculum at their own pace. Ideally effective e-learning, includes synchronous and asynchronous learning, develops honesty, disciplines throughout its procedure. In other way, a proper evaluation can be possible through technology like use of CCTV camera, online assessment etc. Technology also, in other way, if not managed and maintained properly leads to academic dishonesty like plagiarism occurs very easily through the use of technology. As a result less innovation we have in research at present. In asynchronous e-learning also, students have the scope of dishonesty which affects reliability of the test itself as well as of the test result. In spite of having some demerits in use of technology, it's contribution in today's world in maintaining academic integrity is inevitable in terms of developing honesty, disciplines, norms, values and most importantly in developing a perfect system with accuracy, correctness, preciseness, ease of accessibility and maintaining quality which is really can be considered as a boon for academic integrity.

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 Keywords

Academic integrity, Synchronous e- learning, Asynchronous e-learning, Plagiarism, Academic dishonesty.

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 Abstract

This study aims to develop a robust stock market prediction model using a stacked Long Short-Term Memory (LSTM) network. The proposed model leverages historical stock prices and financial indicators to forecast future price movements. We compare its performance with existing prediction methods to demonstrate its effectiveness. The results indicate that the stacked LSTM outperforms traditional approaches, yielding higher prediction accuracy. This research contributes to the field of financial forecasting and provides valuable insights for investors and financial analysts seeking improved decision-making tools.

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 Keywords

Machine Learning, Stock Market Prediction, LSTM (Long Short Term Memory), NN (Neural Networks)

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 Abstract

Due to their small size, smartphones offer a convenient way to handle emails, internet access, and mobile calls all in one package. The purpose of this study is to gather data regarding consumer perceptions of Chinese's smartphone brand and the variables influencing their purchasing decisions. The data collected was based on the primary data through structured questionnaire collected from 100 respondents and simple random sampling technique was used to select a sample of representative customers. It is advised that the corporation release a smarter phone with standard quality for the lower classes, as this will enable them to reach a larger consumer base given the enormous number of people in these classes in the nation.

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 Keywords

Chinese's smartphone, Brand, Users.

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 Abstract

The primary goal of any drug delivery system is to administer the medication within a predetermined timeframe and to ensure that a therapeutic dose reaches the intended site of action. Mucoadhesive drug delivery represents a significant advancement in drug delivery systems. These dosage forms are designed to extend the duration of drug contact with mucosal surfaces, leading to benefits such as prolonged residence time, rapid onset of action, enhanced bioavailability, avoidance of hepatic first-pass metabolism, and controlled drug release rates. Mucoadhesive drug delivery can be employed through various routes including buccal, oral, nasal, ocular, gastrointestinal, vaginal, and rectal routes. In this system, the drug adheres to the mucosal epithelial surface upon contact with the mucous layer, facilitated by interfacial forces. Mucoadhesion refers to the mechanism by which two materials are bound together for a specific duration via attractive forces between biological materials and mucous membranes. This review article comprehensively discusses mucoadhesion, encompassing various theories, mechanisms, factors influencing, evaluations, and different forms of mucoadhesive dosage.

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Mucoadhesive, Oral Mucosa, Bioadhesive. Factors and Evaluations

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 Abstract

The project aims to provide and learning about the various types of steganography available. Image steganography is performed for images and the concerning data is also decrypted to retrieve the message image. Since this can be done in several ways, image steganography is studied and one of the methods is used to demonstrate it.

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mage steganography refers to hiding information i.e. text, images or audio files in another image or video files. The current project aims to use steganography for an image with another image using spatial domain techniqu

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Women's empowerment is a prerequisite for the development of a society because it increases both the quality and quantity of human resources available for development. It is primarily one of the procedural concerns while addressing human rights and development. Women empowerment and achieving gender equality is essential for our society to ensure sustainable development of the country. The status of women in India has been subject to many great changes over the past few millennia. From equal status with men in ancient times, through the low points of the medieval period, to the promotion of equal rights by many reformers. It would be a fraud to think about the goals of sustainable development and gender equality without raising the social status of women. Mahatma Gandhi expressed his views on many issues related to Indian society in particular and humanity in general. He worked not only for the independence of the country but also for the liberation of all the oppressed and lower classes in Indian society and the upliftment of women. According to Mahatma Gandhi, empowerment means giving equal status to women and providing those equal opportunities and freedom to develop. Gandhi had said that "The goal of women empowerment depends on the threefold revaluation. First of all, bring a change in their lives. Secondly, create a change in their lives. Thirdly, change their social structure". The history of women in India has been eventful. In modern India, women have held various high positions including President, Prime Minister, Speaker of the Lok Sabha, Leader of the Opposition, etc. The current President of India is also a woman. In fact, the credit for all this goes to Mahatma Gandhi. It is said that she was the first to include women in the political movement in India. As a mass communicator, he reached and influenced more people than any other leader. Mahatma Gandhi's criticism of social evils, his persistent efforts for the emancipation of women and his immense faith in the moral strength of women led to the national struggle for independence. Gandhi was of the opinion that until and unless women, on the basis of education and knowledge do not find their proper place in social and economic fields, they could not achieve self- respect for themselves. Nor they could become self- dependent in any of the walks of life. In the presented study, an attempt has been made to understand Gandhi's views on women in the context of socio-economic and political fields. The objectives of the present study are to find out what role Gandhi played in the empowerment of women.

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 Keywords

Women Empowerment, Gender Equality, Humanity. Satyagraha, Social Equity, Woman's Rights, Social Injustice.

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 Abstract

This paper presents a method for decoding audience interaction in public speeches using advanced signal processing techniques implemented in MATLAB. By analyzing audience responses such as speech, applause, and laughter in real-time based on spectral and temporal features, the system provides immediate feedback to speakers. Through simultaneous recording of the speaker and audience, nuanced delivery and reactions are captured, enhancing analysis. The process involves noise removal and foreground extraction to isolate significant audience reactions. Thresholding methods identify key responses like applause and laughter, aiding speakers in targeted improvements. The study contributes to refining communication accuracy and event management, benefiting both speakers and researchers in communication disciplines.

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 Keywords

Public Speaking, Machine Learning, Signal Processing, Quality-Aware Techniques, Audience Interaction.

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Creative Commons Attribution 4.0 and The Open Definition