Volume 9 | Issue 2

 Abstract

When designing vehicles capable of great speeds, wave drag must be carefully considered. Modifying the flow field ahead of the body may decrease drag. A retractable nose spike seems to be the simplest and most efficient way to lower drag on the vehicle by causing flow separation and altering the shock structure surrounding the body. There are various approaches to modify the flow field ahead of a supersonic or hypersonic body. The blunt nose of an aeroplane is the primary focus of the present investigation into flow at high speeds. In order to lessen the impact of drag, researchers looked at three different kinds of spikes. These computational models indicate that the optimal aero will reduce lift and drag. To back up the numerical findings, we utilized data from the literature. If you want better aerodynamics, less drag, or to accomplish any other design goal, you should change the blunt nose and spikes based on the results of the simulation. The data presented suggests that thermal protection may be achieved by blunting the front surface of an aircraft. Even with this reduction, the nose is still subject to a great deal of heat activity and needs far more thermal protection than the remainder of the vehicle. Modifying the frontal flow field is necessary to lessen wave drag, which is often generated by a blunt nose shape. A retractable nose spike is one method to implement this modification. One way to improve aerodynamic efficiency and decrease wave drag is to deploy a retractable spike, which may change the flow field.

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 Keywords

Mach number, Spike angle, CFD, Drag Force, Lift Force.

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 Abstract

Gramjivan Padyatra

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Gramjivan Padyatra

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Given the increasing speed of changes in the contemporary business environment, the problem of effective decision-making emerges in the context of the abundance of dynamic data originating from diverse sources. As a framework, this paper investigates the possibilities of AI-driven data mining for improving the decision-making method. Using sophisticated machine learning approaches and data mining strategies, firms and companies can gain predictive knowledge factors that potentially enhance company performance and competitive advantage. The first stage of the methodology section of the paper provides a brief literature review. It presents AI-based data mining with a context understanding of the dynamic data environment and the corresponding literature review focusing on examining the prospects and associated difficulties. A conceptual model on how to apply AI to data mining is suggested in the framework, consisting of data acquisition, data cleaning, and model choice. Exemplification of the implementation of data mining with the help of AI across different business fields shows its advantages, accuracy, flexibility, and cost savings. However, the paper focuses on the benefits of implementing the approach and discusses the main ethical issues and considerations that organizations can face, such as data privacy, bias, and transparency. Last but not least, rising trends like explainable AI and federated learning are also introduced, raising the scope for the future of AI-based data mining for improving the reliability and positive influence of resultant decisions. This study thus simulates the need for organizations to incorporate predictions from data mining extended from artificial intelligence to compete effectively in complex data-intensive organizations.

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AI-Driven Data Mining, Predictive Analytics, Dynamic Data Environments, Decision-Making, Machine Learning

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Abstract This research explores the profound influence of Sufi mysticism on contemporary Iranian and Turkish theatre through the lens of theatrical semiotics. Sufism, the mystical dimension of Islam, emphasizes personal spiritual experience and the quest for divine union, which finds expression in the themes, symbols, and performance styles of modern theatre in Iran and Turkey. The paper delves into the symbolic language of theatre, exploring how traditional forms like Ta'zieh in Iran and the Whirling Dervish rituals in Turkey embody mystical principles. A comparative analysis highlights shared elements such as allegory, minimalism, and the interdisciplinary integration of Sufi arts like poetry, calligraphy, and music

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Sufi mysticism, theatrical semiotics, contemporary theatre, Iranian theatre, Turkish theatre, Whirling Dervishes, ritualistic elements.

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In the rapidly evolving fintech sector, mobile applications have become a primary conduit for transactions and financial management, necessitating stringent user trust. The study begins by outlining the critical vulnerabilities typically encountered in mobile applications, such as data leakage, insecure storage, broken cryptography, and inadequate session handling, with a particular focus on those prevalent in fintech apps like transaction fraud, identity theft, and unauthorized access. The discussion progresses by evaluating various security frameworks and guidelines from authoritative bodies such as the tailored specifically for mobile platforms. We also explore the application of these standards in the development lifecycle of fintech applications, emphasizing. Further, the paper presents a comparative analysis of traditional security approaches versus modern, innovative practices in the context of fintech applications. This includes an examination of encryption techniques, biometric authentication, and behavior analysis technologies that leverage machine learning to detect and prevent fraudulent activities. Additionally, we discuss the importance of maintaining a secure post-launch environment through continuous monitoring, regular updates, and user education on security best practices. To provide a holistic view, case studies from leading fintech companies are analyzed to illustrate successful implementation of security strategies and the impact of these practices on mitigating risks and enhancing user confidence. The findings suggest that a multi-layered security approach, combining robust technology solutions with proactive risk management and compliance with global security standards, is essential for safeguarding fintech mobile applications. In conclusion, this paper highlights the necessity of adopting an integrated security strategy that not only addresses immediate threats but also anticipates emerging vulnerabilities. By adhering to established security best practices and embracing innovative solutions.

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Fintech, Mobile Application Security, OWASP, PCI DSS, Data Protection, Encryption, Biometric Authentication, Machine Learning, User Education, Risk Management

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Life Insurance Company (LIC) is one of India's leading life insurance companies in India offering a range of individual and group insurance solutions that meet various needs such as protection, pension, savings & investment, health and more. Since this paper aims to study the impact of liberalization on insurance companies of India, certain efforts have been invested, starting from problem formulation to overall impact measurement. After assessing the conceptual foundations and conducting an empirical testing of the present state of the insurance sector in India, conclusions point towards eighth dimensions of impact measurement. These eight dimensions are: service quality, perceived values, purchase intentions, repurchase intentions, market dynamics, exception handling, satisfaction and dissatisfaction on which the impact of liberalization can be measured. Finally, these eight dimensions taken for impact measurement are summed up into four measurements. The four measurements are sources of competence, behavioural intentions, contemporary dynamics and overall satisfaction. All the dimensions are statistically proved and having values on or above the acceptable limit. In other words it can be said that, the impact of liberalization has come in terms of these four variables.

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Liberalisation, impact, insurance companies, privatization

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Introduction-The study was conducted in order to the kinematical analysis of Front Foot On-Drive at execution phase in cricket .Twenty randomly selected male students aged 19 to 28 years and who have participated in the C.K.Naidu Trophy from U.P Team, Players of Combined University Camp and the players of Under 22 national Cricket Championship were selected as subjects for this study. Method/methodology-For the biomechanical analysis of selected batting skills in cricket High speed videography technique was employed. The two Casio Exilim EX-F1 high speed camera used for this purpose. Performance of subjects was recorded in control and favourable conditions. The data were recorded from both planes i.e. Sagittal plane and frontal plane. Siliconcoach Pro 7 Softwere was used in order to obtain the values of selected angular kinematics variables ankle, knee, elbow, hip, shoulder and wrist joint and height of centre of gravity from develop stick figures feature. The data was analyzed by use of descriptive statistics.Results & Discussion- The results have shown the values of descriptive statistics of selected angular kinematics variables at execution phase in Front Foot On-Drive the mean, median and mode for selected angular kinematic variables were nearly equal.

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Kinematical analysis, High speed videography, Siliconcoach pro 7 , Front Foot On-Drive.

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The present study is an attempt to check the impact of demographic factors like type of school, income and family type on family environment of female school teachers. The population for this research was the female school teachers working in public and private sector schools. The research work presents the status of female school teacher's working in public and private sector in Udaipur, Jaipur and Jodhpur. The well documented model was used as conceptual framework for understanding the theoretical background of the study. The measuring instrument in this research was Family Environment Scale modified by Professor Mohan Chandra Joshi and Dr. Om Prakash R Vyas (1987). The tool used to gage the situation was structured and well tested in academics. To achieve the objectives primary research was conducted constituting 378 respondents from the desired area and snowball technique was used to collect the data.

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Family Environment, School Teachers, Teachers, Educators, Female.

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The COVID-19 pandemic has had a significant impact on the Indian dairy industry. A study conducted on the impact of COVID-19 on the industry found that the lockdown imposed to contain the spread of the virus had a severe impact on the dairy sector. The industry faced several challenges, including a decrease in demand, supply chain disruptions, and a shortage of labour. The study found that the decrease in demand was due to the closure of hotels, restaurants, and other food service outlets. This resulted in a surplus of milk, which led to a drop in prices. Furthermore, the lockdowns led to supply chain disruptions, which made it challenging to transport milk and dairy products from one place to another. The shortage of labour was another significant challenge faced by the industry. With the migration of laborers to their native places, many dairy farms and processing units were left without adequate staff. The study also found that the pandemic led to changes in consumer behaviour, with consumers preferring packaged milk over loose milk due to hygiene concerns. This has led to an increase in the demand for packaged milk, but it has also resulted in higher packaging costs for the industry. Despite the challenges faced by the industry, the study found that the Indian dairy industry has shown resilience and adaptability. Many dairy farmers have adopted new technologies and methods to increase efficiency and reduce costs. The study highlights the need for the industry to continue to innovate and adapt to the changing circumstances to ensure its long-term sustainability.

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 Keywords

Indian dairy industry, COVID-19, pandemic, lockdown, supply chain disruptions, milk production, milk processing, milk prices, demand for dairy products, export market, government policies, rural economy, small-scale farmers, cooperative societies, digital platforms, e-commerce, innovation, resilience, distribution channels, export market, farmer distress, animal feed, Government support, online sales, consumer behaviour.

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India is a country of villages and small town as 68.9 per cent of the population lives in 6.40 lakhs villages. At the same time, 450 million i.e. 37% of the population are internal migrants as per 2011 census. In developing country like India, migration mostly take place not due to pull forces as usually seen in case of developed countries, but because of factors like poverty, unemployment and natural calamities. Migration is not choice but it is necessary, so it becomes essential for the destined state to accommodate migrant workers when these persons need it. Uttar Pradesh and Bihar account for the highest outflow of migration. These migrant workers have played a key role in the development of the nation by sheer sweat of their labour but these very nation builders sought a little assistance from the country in their quest to reach their humble abodes. In India internal migration has never been taken seriously by the central and state government. Migrant workers have no residential security and are compelled to live and work in crowded slums and unauthorized public lands with unsatisfactory civic amenities and access to basic services, and they undergo repeated displacement. For the first time, COVID -19 crises unfolded the real face of centre-state relationship and brought migration to the centre stage. Though government has taken cognisance of the issue and announced financial measures to contain the impact on the migrant workers but there is an urgent need to review of national legal, regulatory and institutional concerns in resettlement and rehabilitation of migrant labourers. Time has come when both centre and state government need to prioritize the internal migrant issues. In order to deal with internal migrant issue, centre is required to decentralise political and economic power to state with greater decision making capacity.

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Migration, poverty, unemployment, workers

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covid 19, Child Rights, Gender based inequalities, Gender based violence, etc.

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Consumer is considered as king of the market. And in present scenario focus is on studying consumer behaviour. Consumer plays a distinct and vital role, he is considered as payer, user and buyer. In order to study the buying behaviour of the consumer, some important factors are taken in to consideration. In this research paper focus is done on development of strategies related to consumer buying behaviour. The objective of the research is to analyse the Patterns that influence the purchasing behaviour of the consumers regarding herbal and non-herbal cosmetic products. The research is descriptive in nature. The researcher has chosen quantitative data collection method and secondary method in order to conduct the research. Herbal products have a great influence over non-herbal products because people nowadays prefer herbal products as compared to non-herbal products. It is because in the recent times it has been observed that there has been an exponential growth of herbal skin care products in the market replacing the non-herbal products. The prime limitation of the study was timescale and budget. This study is conducted via secondary analysis, it is compulsory for the researcher to develop proper questionnaires and select appropriate options for questions.

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purchasing behaviour, consumers, herbal and non-herbal cosmetic products, consumer behaviour, cosmetic industry.

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GLOBAL IMPACT OF E-LEARNING DURING COVID-19

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GLOBAL IMPACT OF E-LEARNING DURING COVID-19

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Visualization is necessary for further data processing and to assist scientists in comprehending the enormous amount of data generated. Large-scale simulations for essential meteorological applications such as cyclone tracking and earthquake modelling necessitate simultaneous online/"on-the-fly" visualization. Online visualization allows scientists to provide real-time feedback to the simulations, allowing them to better tailor the output to the scientific demands. The main aim of this study is to discuss the adaptive integrated steering framework for simulation and visualization of applications like cyclone tracking across various resource configurations.We developed InSt, an integrated user-driven and automated steering framework for simulations, online remote viewing, and analysis for crucial weather applications, in this research. InSt gives the user control over a variety of application parameters, including the region of interest, simulation resolution, and data visualization frequency. Unlike previous efforts, our framework considers both the steering inputs and the application's criticality, namely the application's minimum progress rate, as well as various resource constraints such as storage space and network bandwidth, to determine the best possible parameter values for simulations and visualization.

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Steering, critical weather application, remote visualization, adaptation, parallel simulation etc.

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 Abstract

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Bitterness, Crime, Folktales, Mentality, Sinful and Smuggling.

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Sathyagrahis, pariah, coolies, bhajans, lathis, procession, Non-violence, truth

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This piece of work highlights on the implementation of Elementary pre-service teacher education programme running in one District Institute of Education and Training (DIET) offering Diploma in Elementary Education programme. The study was undertaken following case study approach to assess the implementation of Pre-service programme. The findings of study reveals that the curriculum for pre-service elementary teacher education programme is in consonance with school curriculum, the infrastructural facilities available in the institution are not adequate and appropriate, Discussion method, activity based learning, assignment method, project methods were used for curricular transaction, teacher educators posted in the institution are well qualified, and the enrolled pupil teachers are of good quality. However, books in the library are the only source of learning and summative evaluation is followed for assessing the performance of prospective teachers.

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Implementation, Pre-service, Elementary Teacher Education, Curriculum

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The sample of present study consists of 80 adolescent students, including 40 male and 40 female. The sample was randomly selected from different colleges of Kumta Taluk of Uttara Kannada district. The emotional maturity scale of Dr. Yashvir Singh and Dr. Mahesh Bhargava was used to assess the gender differences in emotional maturity of adolescent students. Mean shows that both the male and female students are extremely unstable in their emotional maturity and that there are significant gender differences in emotional maturity of adolescents. Hence this study underlines the necessity of counseling intervention in colleges to enhance mental health status of the adolescent students.

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Emotional maturity, adolescent, counseling

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The idea of this paper is to understand the mutual influences that the different fashion industries had. Every continent, country, region has its history of the fashion industry. With time the fashion of the different worlds (nations) had changed its course and with globalization, international fashion has evolved into what we call the new fashion in the current scenario. Fashion has a dynamic nature and evolves with time due to various reasons for example the western clothing influence on South-East Asian countries or vice-versa. The paper highlights that how Indian fashion has evolved due to the various invasions starting from the Mughals to the colonial rule, the fashion that we see today in contemporary modern India is the amalgamation of various such influences. The reason why I have chosen this topic is due to my interest in this particular subject. I had wanted to know how the fashion we see today has evolved with time. There are many instances wherein we can still see the reflection of the past of fashion history across the globe.

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Western clothing, Globalization, Modernization, South-East Asia fashion, Women-centric fashion, traditional clothing, Saree, Persian Fashion

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Defect Detection in modern material assembling is a fundamental requirement for which productive practical arrangements must be sought. In ongoing years, a few distinct techniques have been created to recognize these deformities, some of which have been fruitful to a more prominent or lesser degree. Traditionally, the acknowledgment of texture has a lot of difficulties because of its manual visual examination. Additionally, the methodologies dependent on early AI calculations legitimately rely upon high-quality highlights, which are tedious and blunder inclined cycles. Hence, an automated system is needed for the classification of fabric to improve productivity. In this paper, we propose a solution in which a deep transfer learning model will be trained on a fabric dataset. The training process will include various data augmentation techniques like rescaling, zooming, horizontal flipping, etc. The model extracts important features from a given image and classifies automatically in an end-to-end fashion. We assessed the consequences of our model utilizing assessment measurements, for example, exactness, adjusted precision,AUC and Recall.

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AUC,Deep transfer learning,classification,fabric,precision

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