bluuebunny/crossref_metadata_2025 huggingface dataset:
Validation of NGSand Multi-omics Approach for Active Site Identification CDK2-Associated Protein 1; Oral Cancer
Authors: - Uma Kumari , - Navya Srivastava , - Kartik Tripathi
Published: April 2024

This study investigates the role of Cyclin-Dependent Kinase 2-Associated Protein 1 (CDK2AP1) in oral cancer, utilizing a multidisciplinary approach encompassing structural analysis, domain identification, molecular docking, Next-generation Sequencing (NGS) such as CATH classification, and STRING network enrichment analysis. The Protein Data Bank (PDB) entry 2KW6 provides the three-dimensional structure of CDK2AP1, serving as the primary dataset. Structural analysis reveals intricate hydrogen bonding patterns and domain organization within CDK2AP1, indicative of its molecular architecture and stability. Domain identification identifies distinct functional units within CDK2AP1, highlighting its multifaceted role in oral cancer progression. Active site residue identification uncovers critical residues involved in protein-ligand interactions, presenting potential therapeutic targets. Molecular docking simulations predict putative binding interactions between CDK2AP1 and molecular interactions of three chemotherapy drugs, namely Hydroxyurea, Fluorouracil, and Cisplatin, using molecular docking simulations. Autodock scores were calculated to assess the binding affinity of these drugs to their respective targets. Hydroxyurea, with an Autodock score of -8.3, is a medication used in the treatment of various cancers by inhibiting ribonucleotide reductase, thereby halting DNA synthesis and cell proliferation. Fluorouracil, with an Autodock score of -1.3, functions as an antimetabolite by inhibiting thymidylate synthase, disrupting DNA synthesis, and cell division. Cisplatin, with an Autodock score of -7.1, forms cross-links in DNA, preventing cell division and inducing apoptosis in cancer cells, unveiling potential mechanisms of action and signaling pathways implicated in oral cancer development. Overall, these findings deepen our understanding of CDK2AP1's involvement in oral carcinogenesis and underscore its potential as a therapeutic target for improving patient outcomes.
Hindutva: A Case Study of Arunachal Pradesh
Authors: - Chonga Linggi , - Sucharita sen
Published: April 2024

Due to the rise of Christianity, Arunachal has seen a major shift of religion popularity from a Traditionally tribal state with majority Indigenous religion to Christianity. Loss of culture is rampant due to many reasons and one of them being the rise of Christianity, as some of the Christian beliefs do not align with the Traditional Approach of the tribals towards their daily life.
But a new Hero has emerged, regarded as the ‘Saviour of the Animism’ by some, but we shall refer to it as Hindutva. In this Article we shall learn as to how Hindutva has assisted with the cultural preservation of Arunachal Pradesh. This paper examines Arunachal Pradesh’s reactions to Hindutva and how the influence of Hindutva checked the state from a mass conversion to Christianity.
Everything Everywhere All At Once
Authors: - T. Joshua , - S. Madhan , - S.V. Girivasan , - A. Meenakshi
Published: April 2024

In the era of big data, where vast amounts of information are constantly generated and stored, the ability to efficiently
navigate through these datasets and extract meaningful insights has become increasingly crucial. This process, known
as data reduction, involves techniques for filtering and condensing large datasets to identify the most relevant and
informative data points. By reducing the dimensionality of the data, data reduction facilitates further analysis,
interpretation, and visualization, enabling researchers and analysts to gain a deeper understanding of the underlying
patterns and trends within the data. One of the primary objectives of data reduction is to improve the effectiveness of
basic or fundamental searches. By identifying the data that is most pertinent to these searches, data reduction
techniques can significantly enhance the precision and recall of search results. This is particularly valuable in
situations where the search criteria are broad or ambiguous, as data reduction can help to narrow down the search
space and focus on the most relevant data points. Data reduction techniques can be broadly categorized into two main
types: feature selection and dimensionality reduction. Feature selection methods involve identifying and selecting the
most relevant subset of features from the original dataset. This process can be performed using various techniques,
such as correlation analysis, filter methods, and wrapper methods. Dimensionality reduction techniques, on the other
hand, transform the data into a lower-dimensional representation while preserving as much of the original
information as possible.
Ai Radiologist: Vit & Bert Power Chest X-ray Report Automation
Authors: - Mr.Balamurugan V , - Mr.Giriprasath K S
Published: April 2024

Radiology workloads soar, straining radiologists and potentially delaying diagnoses. We introduce the "AI Radiologist," a novel approach leveraging ViT (Vision Transformer) and BERT (Bidirectional Encoder Representations from Transformers) to automate chest X-ray report generation. The AI Radiologist employs a multi-stage pipeline. ViT extracts rich visual features from preprocessed X-rays, capturing spatial relationships and subtle details. These features are then fed into a BERT model, trained on a massive dataset of chest X-ray reports and corresponding images. BERT analyzes these features and generates comprehensive, natural language reports, including findings, diagnoses, and recommendations. This AI-powered approach offers compelling advantages. Compared to traditional methods, the AI Radiologist boasts improved accuracy and efficiency, potentially alleviating radiologist burnout and freeing them for complex cases.
Moreover, generated audio descriptions can enhance accessibility for visually impaired individuals. We evaluate the AI Radiologist extensively, demonstrating its superior performance against existing benchmarks. Our results suggest this technology has the potential to revolutionize chest X-ray reporting, promoting faster diagnoses, improved patient care, and a more efficient healthcare system.
Students' Reluctance to Speak is a Result of Teachers' Dominance and Powerful in EFLClassrooms
Authors: - Bahar , - Sunarlia Limbong , - Yusmanizar , - Andi Nur Insan , - Fitriana
Published: April 2024

This study is a qualitative study to reveal the impact of power and dominance that occurs during classroom learning, the method used is qualitative, using in-depth unstructured interviews to identify why students are reluctant to speak in class, and boredom when the teacher teaches. The findings show that students feel depressed when the teacher teaches because they often dominate so that the student does not have the opportunity to speak, besides that the teacher often provides punishment for students when they are not well performed in class. This study suggests that teachers should consider students as learning partners in the classroom, in order to create a harmonious relationship between teachers and students that has the potential to increase learning motivation instead of making students anxious about learning lessons in class.
Exploring T2DM Patients’ Motivation in Diabetic Self-care: a Qualitative Study
Authors: - Rosnani Kassim , - Norbaidurah Ithnain , - Siti Nurhanim Mohamed Aimanan , - Nadia Amirudin , - Manimaran Krishnan
Published: April 2024

Motivation refers to the larger mental processes that guide individual behaviours. Self-care behaviours are crucial in aiding disease adaptation by improving treatment adherence, disease control, quality of life, and self-perceived health status. Diabetic patients have been shown to have fewer concerns about their health. Thus, this study aimed to explore the motivating factors of diabetes self-care (DSC) among people with Type 2 Diabetes Mellitus (T2DM). A qualitative approach was adopted to explore and better understand the motivation behind self-care among diabetic patients. In-depth interviews (IDI) were conducted with 21 patients from two government healthcare facilities in Selangor, namely Hospital Tengku Ampuan Rahimah, Klang and the Meru Health Clinic from November to December 2019.

All the qualitative data were managed using the NVivo software and thematically analysed. In general, this study identified two major types of motivation: self-motivation and social- motivation. Under self-motivation, there were six significant sub-themes, i.e. perceived better health condition having received DM exposure, perceived importance of diet and medication, self or personal experience, fear of diabetes complications, perceived importance of lifestyle modification, and positive thinking. In addition, the results revealed five significant sub-themes in terms of social-motivation: family support, community support, others’ experiences, financial support, and employer support. Our findings demonstrated the importance of various motivating factors in providing self-care support to diabetic patients. A well-planned diabetes management programme should incorporate motivational support to encourage patients to better manage their conditions.
Exploring the Multifaceted Impact of Goods and Services Tax (GST): A Secondary Data Analysis Approach
Authors: - Revathi B , - Anitha P , - Hemavathi J
Published: April 2024

This paper provides a comprehensive analysis of the implications of Goods and Services Tax (GST) on various aspects of the economy, focusing specifically on trade dynamics, export competitiveness, and cross-border transactions. Through evidence-based examination, the study explores how GST reforms have streamlined trade procedures, enhanced market integration, and influenced cross-border transactions. It evaluates the impact of GST on export competitiveness, highlighting improvements in cost competitiveness for exporters and challenges related to compliance and administrative procedures. Additionally, the study examines the implications of GST on trade infrastructure, import decisions, and trade flows, emphasizing the importance of investing in trade infrastructure to enhance efficiency and facilitate smoother cross-border transactions. Evidence-based policy recommendations are provided to address implementation challenges, enhance competitiveness, and promote inclusive growth. Overall, this study contributes to informing strategic decision-making for policymakers, businesses, and stakeholders involved in international trade, emphasizing the significance of GST as a transformative policy measure with wide-ranging implications for India's integration into global markets and economic development.
The Evaluation of Grades 5 Omani Science Curriculum (Cambridge) in Alignment with Oman Vision 2040
Authors: - Ahmed Al Balushi , - Mohammed Mai
Published: April 2024

The purpose of this study was to evaluate the Omani Science Curriculum (Cambridge) for grades 5 in Oman and to conduct a comprehensive analysis in line with the Omani Vision 2040. To address the research questions, a descriptive-analytical approach based on quantitative analysis was used. Two tools were used for the study: examining the content of the Omani science curricula and a questionnaire that was distributed to the relevant authorities, including supervisors and teachers. The study sample included 2,092 science teachers, 150 science supervisors, and science textbooks for grade 5. The results of the study are important because they provide insights into potential improvements to Omani science curricula. The results suggest that the curriculum should focus more on enhancing critical thinking and problem-solving skills. In addition, it should be updated to reflect the requirements and challenges of the twenty-first century. The findings also underscore the importance of crafting a curriculum that embraces inclusivity and provides strong support for diversity. Key findings of the study include: The curriculum is generally consistent with Vision 2040, but some areas need improvement. There is a need to intensify the focus on developing critical thinking and problem-solving skills. Curricula should be compatible with the needs and complexities of the twenty-first century. Specific recommendations for improving the curriculum are as follows: Review curriculum content: Introduce more content that encourages critical thinking and problem-solving skills. This can be achieved by incorporating hands-on activities and projects that require students to engage in critical thinking and address challenges through problem-solving.
Scheme for Adolescent Girls
Authors: - Surbhi Malhotra
Published: April 2024

The project, "Scheme for Adolescent Girls," addresses the multifaceted needs of adolescent girls, recognising the critical juncture of their lives and the challenges they face. This detailed blueprint outlines the comprehensive scheme designed to empower these young individuals across education, skill development, and healthcare domains.
Examining the Growing Presence of Women in the Occupational Landscape: An Analysis of the Gig Economy
Authors: - Nimisha Singh
Published: April 2024

Abstract
This research delves into the recent trends of women's involvement in freelancing activities, specifically focusing on the discernible increase in participation within the education sector as compared to other industries in India. The study systematically explores impediments and influential factors affecting women's engagement, with a particular emphasis on higher-level involvement. Obstacles faced by women include limited access to suitable and flexible opportunities, wage disparities, skill deficiencies, educational variations among different social groups, and a lack of social security. The study introduces and elucidates the concept of freelancing and its prospects for Indian women, particularly within the education domain. Employing both secondary data analysis and an offline survey, the research provides a comprehensive understanding of the subject matter. The project's findings indicate that freelancing has the potential to significantly impact women's participation in education and contribute to the expansion of India's gig economy. However, common constraints such as a lack of job awareness and basic skills persist. Given the current dearth of research on freelancing in India, its potential, and its activity, this paper aims to address existing gaps and propose solutions for the advancement of India's Gig economy. The proposed system utilizes Recurrent Neural Network (RNN), implemented through MATLAB software, enhancing the depth and analytical capabilities of the paper.
Navigating the Waves: Legislative Efforts Shaping the Broadcast Sector in the Digital Age
Authors: - Kajal , - Shilpa Sharma
Published: April 2024

The broadcast sector stands at a pivotal juncture, with technological advancements rapidly reshaping the landscape of content delivery and consumption. Legislative efforts play a crucial role in navigating this transition, ensuring equitable access, promoting diversity, and safeguarding against monopolistic practices. This research paper delves into the legislative initiatives impacting the broadcast sector, examining their efficacy, challenges, and implications for stakeholders.
Unemployment in India: Issues and Challenges
Authors: - Laxmi Rani , - Cyma Anjum
Published: April 2024

Youth unemployment poses a significant global challenge, with India increasingly facing this daunting issue. The lack of job opportunities other than the agriculture sector has exacerbated the problem over time. India’s vast workforce remains underutilized, highlighting the pressing challenge of youth unemployment in the current economy. To address this issue, there is a need to enhance educational attainment and skill development among the youth population. Despite improvements in enrolment rates, the declining proportion of youth in the labour force underscores the persistent problem of youth unemployment and underemployment in India. Economic reforms have not been successful in creating sufficient employment opportunities for youth, posing a threat to the country’s future. Effective planning and strategies by the government and private sectors are essential to educate, train, and employ unemployed youths. Multi-faceted approaches are required to tackle youth unemployment and pave the way for sustainable development.
A Study on the Alchemy of Luxury: Growth, Ethics, & Challenges
Authors: - Aditi A Singhvee , - Kunal T Mehta , - Gaurav M , - Shilpa Mary
Published: April 2024

This study explores the evolving concept of luxury in the digital age through three key areas. Firstly, it examines ethical and sustainable luxury, analyzing motivations, strategies, and impacts of responsible brands. Secondly, it delves into growth strategies in the online sphere, exploring digital marketing tools, influencer collaborations, and adaptations to changing consumer values. Thirdly, it addresses the challenge of protecting brand essence in the gray market, quantifying the prevalence of counterfeits and exploring innovative authentication strategies. The study aims to provide a comprehensive understanding of how luxury brands navigate the intersection of sustainability, digital marketing, and brand protection to remain relevant and resilient.
Virtual Labs in Science Education: A Comprehensive Review of Their Impact on Learning Outcomes
Authors: - Sushree Swatee Patel
Published: April 2024

This journal is all about theoretical review based on analysis of 20 articles and journals, it presents a mixture of supportive and opposing perspectives. While many studies agree on the positive impact of virtual labs on student achievement and attitudes towards science and some dissenting views suggest a lesser influence on academic success. Nonetheless, there's a general agreement on the beneficial role of virtual labs in enhancing learning outcomes. Additionally, it highlights the positive attitudes students develop towards learning through virtual labs and the similar levels of skill development compared to traditional labs. Ultimately, it conclude that virtual labs offer promising prospects for improving educational outcomes and creating positive learning environments for students
The Study Of Perspective Of Hoteliers Towards Outsourcing Of Delivery Services With Special Reference To Online Food Delivery Apps In Mumbai.
Authors: - Bageshree P. Bangera Bandekar , - Geeta Bhatia
Published: April 2024

Finding the greatest online service provider, however, would be challenging given the large number of companies offering this service in various shapes and forms. In today's quick-paced society, when people continuously seek comfort and convenience, the food business has undergone significant transformation, mirroring shifts in the social, economic, and demographic makeup of the nation. In the modern world, getting high-quality meals delivered to one's door in a timely manner while also using an app is nothing less than an extravagance that one may enjoy after a long day at work. Some of the elements that influenced the promotion of the online meal delivery system include an increase in disposable income, an increase in work pressure, the nuclear family system, easy access to the internet, and an increase in smart phones. Thus, the quickest delivery methods in restaurants and the use of internet platforms have given kids plenty of opportunities, which has led to increased growth.
Social Protection in Morocco: Current State and Prospects
Authors: - HAJJI Zouhair , - ZINE EL ABIDINE Myriem , - BOUHMALA Abdelali , - CHTAOUI Abderrahim
Published: April 2024

The social protection system in Morocco faces a multitude of problems that reduce its impact on both the social security and social assistance components. This diagnosis was mentioned by His Majesty the King in his speech on July 29, 2018. To this end, His Majesty the King called on the Government and all stakeholders to undertake a comprehensive and profound restructuring of national support and social protection programs and policies. In application of the High Royal Instructions, the government has undertaken the implementation of the structuring royal project for the generalization of social protection for the benefit of all Moroccans by 2025 and the development, in consultation with all social partners, of a comprehensive action plan that includes the timetable, the legal framework and the financing options for the project, as well as the adopted governance mechanisms.
The present work aims to contribute to the current debate, through the study of the normative and conceptual framework of social protection, the reasons for the reform of the current system and the conditions for the success of the ongoing reform.
Exploring the Efficacy of Legal Frameworks in Combatting Sophisticated White-Collar Crimes: A Comparative Analysis
Authors: - Pooja , - Mohini Taneja
Published: April 2024

This research aims to critically analyze and compare the effectiveness of legal frameworks and regulatory mechanisms in addressing sophisticated white-collar crimes across different jurisdictions. By examining case studies and legislative measures, the study seeks to identify strengths and weaknesses in existing legal systems and propose recommendations for enhancing enforcement strategies, regulatory oversight, and corporate accountability. Additionally, the research will explore the evolving nature of white-collar crimes in the digital age and assess the adaptability of legal frameworks in combating emerging threats such as cyber fraud, insider trading, and corporate espionage. Through a comparative approach, this study aims to contribute insights into best practices for law enforcement agencies, policymakers, and legal practitioners in the ongoing fight against white-collar crime.
Examining The Triadic Link: Parenting Styles, Test Anxiety, and Emotional Regulation Among Psychology Students
Authors: - Leandra George , - Vimala M
Published: April 2024

This study investigates the nuanced dynamics between perceived parenting styles and psychological constructs, namely Test Anxiety and Emotional Regulation, among collegiate psychology students in India. The research explores potential variations in emotional regulation and test anxiety based on perceived parenting styles, namely authoritative, authoritarian, and permissive, and studies the relationship and trend between Test Anxiety and Emotional Regulation. Data were gathered through questionnaires from a sample of 201 undergraduate and postgraduate psychology students aged 17-25 pan-India. The descriptive research design employed the statistical analyses, One Way ANOVA, Pearson Correlation Coefficient, and Simple Linear Regression. The results indicated significant differences in test anxiety among the three perceived parenting styles, with authoritarian parenting exhibiting higher test anxiety levels compared to authoritative parenting with the lowest scores. No significant differences were found in emotional regulation based on perceived parenting styles. The correlation analysis revealed no significant relationship between emotional regulation and test anxiety. The regression analysis further supported this by indicating no significant predictive impact of emotional regulation on test anxiety. The implications extend to educators, mental health professionals, and parents, emphasizing the importance of understanding and addressing these factors to promote the well-being and academic success of collegiate psychology students in the Indian context.
Ill-informed Criticism Should be Killed by the Bar, Not Dueled by using Power of Contempt
Authors: - Allen Sajeev
Published: April 2024

Contempt of court, also referred to simply as "contempt," is the act of being rebellious or ill-bred toward a court of law and its officers by engaging in conduct that opposes or rejects the court's position, equity, and nobility.Contempt of Parliament or contempt of Congress refers to a negative attitude toward an authority entity.
Contemn (as in "to disdain a court request") is the action term meaning "to commit contempt," and a contemnor is a person who is guilty of it.
When a court decides that an action constitutes contempt of court, it can issue an order that in the context of a court trial or hearing declares a person or organization to have disobeyed or been disrespectful of the court's authority, called "found" or "held" in contempt. That is the judge's strongest power to impose sanctions for acts that disrupt the court's normal process. This term can likewise be comprehended as far as the opportunity of cut off points of the legal continuing. As we realize that all appointed authorities in courts can give legal procedures which have a specific breaking point in which it has the opportunity to make any legal continuing and anything which reduces or stops it in making any legal continuing which is of need can add up to scorn of court.
Team Formation and Exploration of Employee Absenteeism in Teams through Machine Learning and Multilayer Perceptrons (MLP)
Authors: - Amrita dutt , - Vijaishri Tewari , - Shashikant Rai
Published: April 2024

Organizations are based on employee productivity and team production. The challenge in team production is the formation of teams and absenteeism of employees in teams results in lower satisfaction of employees. Researchers today have found the importance of machine learning in our daily lives to improve quality. The Present study is the prediction of employees that come under the same manager and analysis of employee absenteeism through multi-layer perceptron (MLP) neural networks from the HRM dataset of 311 unique instances for the analysis of employee performance. After training the data with the aforementioned parameters, the results of linear regression obtained by testing data is a Mean absolute error: 1.44, the Mean absolute error: 1.68 of Bayesian Regression.
Analysis of Learning Achievement of Students at Middle School Stage
Authors: - Pooja Podmaja Priyadarshini , - Dr. Ajay Kumar Swain
Published: April 2024

This study was conducted to analyze the learning achievement of middle school students in mother tongue (Odia) and social science (History, Political Science, Geography and Economics). Here, two objectives were taken as: (i) To study the status of learning achievement in mother tongue (Odia) of class VII learners and (ii) To study the status of earning Achievement in social science (History, Political Science, Geography and Economics) of class VII learners. The study revealed that the academic achievement mean score of the students of class vii in language Odia and Social Science differ significantly. It was ascertained that there exist no significant difference between the academic achievement of boys and girls in language Odia and Social Science at class viii in relation to baseline study and end line study. The study also revealed that the mean score of boys were found to be more than that of the girls in relation to baseline and end line study.
An Analysis of Modern Machine Learning Algorithms for Rainfall Prediction
Authors: - Love Vishwakarma , - Shivshankar Gupta
Published: April 2024

Agriculture has a significant importance in the Indian economy. Rainfall is crucial for agriculture, however these days, predicting rainfall has become a very difficult subject. A good rainfall forecast enables people to plan ahead, take safety measures, and have better crop-related strategies. Both nature and humanity are being severely impacted by global warming, which also hastens the shift in climatic conditions. Due to the warming of the air and rising ocean level, floods are occurring and farmed fields are becoming drier. Unseasonable and excessive amounts of rainfall are a result of unfavourable climate change. One of the finest methods for learning about the rain and climate is to anticipate rain. The primary goal of this study is to accurately describe the climate to the clients from a variety of aspects, including agriculture, research, power generation, etc. to understand the requirement for changing the environment and the variables such as temperature, humidity, precipitation, and wind speed that ultimately lead to rainfall forecast. Predicting rain is difficult since it relies on geographic places as well. Machine learning, an expanding branch of
artificial intelligence, aids in rainfall forecasting. For the purpose of forecasting the rainfall in this research study, we will use a dataset from the UCI repository that has many properties. The major goal of this work is to analyse a system for predicting rainfall and to do it more accurately by using machine learning
classification algorithms.
Problems Faced by Women Entrepreneurs; A Study in Khurda District of Odisha
Authors: - Dr. Swati Sucharita
Published: April 2024

Women are key role players in uplifting the economic conditions of any country. In a developing country like India, strengthening women economically has been the key focus of policy makers since many decades. In order to promote sustainable development and steady economic growth of the country, women entrepreneurship must be encouraged. Despite several attempts to buoy up women entrepreneurs they continue to face many hurdles in managing their enterprise and face both traditional and modern challenges. This paper focuses on the problems and constraints faced by women entrepreneurs in Khurda district of Odisha with a sample size of 120 women entrepreneurs. It was found that major problems of women entrepreneurs were lack of technological knowledge, marketing problem, lack of financial support, poor management skills etc.
Labour Law in the Era of Artificial Intelligence and Automation
Authors: - PRADEEP T
Published: April 2024

This paper throws light on how artificial intelligence affects labour law and employer’s protection. Artificial intelligence and automation are leading to loss of job in certain industries. It has lead to significant changes in the employment field. Though it has many advantages such as increased efficiency, less time consuming, productivity and cost efficiency, it also has led to disadvantages like mass unemployment and discrimination. This paper shows impact on Indian economy due to the mass unemployment and the uncertainty resulting from humans being replaced by AI in the near future . It also sheds light on how to curb the issues coming up due to artificial intelligence and automation in the employment field. The paper ends with suggestions regarding development of artificial intelligence without affecting the employment structure.
Finite Verbs in Pȃlkuriki Sȏmanȃ’s ‘Basava Purȃṋamu’
Authors: - C. Thirupal Reddy
Published: April 2024

This paper aims to discuss the Finite verbs of Telugu language found in Basava purȃṋamu of Pālkuriki Sōmana (1160-1240), a famous and first poet on saivism in Telugu literature. His works are Basava purȃṋamu, Panditȃrȃdhya caritra, Anubhava ṡȃramu, Vrsadhipa śatakamu, Caturvȇda sȃramu. Ths is a bilingual descriptive study with the Finite Verbs observed in Basava purȃṋamu of Pȃlkuriki Sȏmana. This article is composed of simple finite verbs with tense mood suffixes of 1st, 2nd and 3rd person singular, plural and masculine suffixes; and compound finite verbs.
The Belief of Leo Tolstoy in the Gospels as Garnered from His Story Where Love is there God is Also
Authors: - VIVEK CHAUHAN
Published: April 2024

This study has at its focal point the fact that Tolstoy firmly believed in the gospel and he did not rest till he read the gospel and put it into practice. For Tolstoy real spirituality lies in the fact that the words of Jesus the Lord should be put into practice in actual life rather than being talked about and discoursed about. The story Where Love is God is also brought into focus to illustrate that God comes to us in different forms and particularly in the form of poor and hungry people.
Optimization Path of University Management Personnel Assessment Mechanism from the Perspective of Artificial Intelligence
Authors: - Fangjian Shang
Published: April 2024

Artificial intelligence technology is increasingly applied in various fields of university management, providing strong support for the intelligence, refinement, and scientific nature of university management work. However, in practical applications, there are still certain limitations and lag in the optimization of the assessment mechanism for university management personnel. Starting from the perspective of artificial intelligence, this paper systematically analyzes the current application of artificial intelligence in university management, thoroughly discusses the current situation and problems of the assessment mechanism for university management personnel, and proposes an optimization path for the assessment mechanism based on artificial intelligence. This includes optimizing the performance assessment index system for university management personnel based on artificial intelligence, optimizing the assessment methods for university management personnel based on artificial intelligence, and optimizing the assessment mechanism for university management personnel based on artificial intelligence. The research results not only help to improve the scientificity and effectiveness of the assessment of university management personnel but also provide an important theoretical and practical basis for promoting the intelligent transformation of university management.
Scalable Distributed Storage Systems: Comparative Study of Key Technologies
Authors: - Jesu Narkarunai Arasu Malaiyappan , - Lavanya Shanmugam , - Kumaran Thirunavukkarasu , - Ikram Ahamed Mohamed
Published: April 2024

Scalable distributed storage systems play a crucial role in modern computing environments, providing efficient and reliable storage solutions for handling vast amounts of data. This paper presents a comprehensive comparative study of key technologies used in scalable distributed storage systems, aiming to provide insights into their strengths, weaknesses, and suitability for different use cases.
The paper begins by discussing the importance of scalable distributed storage systems in meeting the growing demands of data-intensive applications, highlighting the need for high performance, fault tolerance, and scalability. It then examines various technologies employed in these systems, including distributed file systems, object storage, and NoSQL databases, analysing their architectures, data models, and scalability mechanisms.
Political Participation of Women in India
Authors: - Sejal Saxena , - PROF. DR. APARNA SRIVASTAVA
Published: April 2024

The involvement of women in the Indian independence movement and the subsequent endowment of equal political entitlements in the Indian Constitution underscore the pivotal role of women in shaping the political landscape of India. The research design involves a thorough examination of the factors influencing women's political engagement in India, drawing on existing literature, electoral data, and statistical analyses. The study considers the impact of electoral reforms, such as reserving seats for women, as well as the role of political parties and civil society initiatives in fostering gender equality and diversity in politics. The study reveals a significant increase in women's participation in Indian politics over time, particularly in voluntary voting and their impact on economic performance as lawmakers. The findings underscore the importance of enhancing women's political participation for the creation of a more inclusive and democratic society.
Application for Analyzing Student’s Performance in MCQ Exam
Authors: - Samiksha Shrivastava , - Omprakash Dewangan
Published: April 2024

This research explores the development and implementation of a Multiple-Choice Question (MCQ) Exam Application, aiming to streamline assessment processes in educational settings. The application facilitates efficient creation, administration, and grading of MCQ exams, leveraging interactive features to enhance user engagement. Through user experience studies and data analytics, the study evaluates the effectiveness of the MCQ exam app in improving learning outcomes and assessment accuracy. Additionally, considerations regarding security, fairness, and pedagogical integration are addressed. The findings contribute insights into the potential of MCQ exam apps to revolutionize educational assessment practices and support personalized learning experiences.
A Competitive Study of Infertility cases with respect to Variables between Weight Groups
Authors: - Dr.Vijay Kishor Chakravarti , - Ms Shubhanshi Rani
Published: April 2024

Infertility is the most common health problem among women in the world. Various methods and good procedures are available in the country for the treatment of infertility.
SynerChain: Orchestrating Symbiotic Supply Network Dynamics for Holistic Optimization and Sustainable Growth
Authors: - Dharshini V , - Anburaman Seetharaman , - Srilekha S
Published: April 2024

In today's dynamic global economy, supply chain management has emerged as a critical component for businesses seeking to gain a competitive edge. However, the complexity of modern supply chains presents numerous challenges, ranging from cost minimization and environmental impact reduction to ensuring product availability. This research paper proposes a comprehensive approach to address these challenges through the integration of data analytics and machine learning techniques. By leveraging advanced algorithms such as random forest classifier, logistic regression, decision tree algorithm, clustering algorithms, and genetic algorithm, the proposed Multi-Objective Supply Chain Optimization platform aims to revolutionize supply chain management. The platform offers decision-makers actionable insights for informed and sustainable choices, empowering them to achieve a balance between financial efficiency and ecological responsibility. Through a detailed examination of costs, sustainability metrics, and product availability, this paper demonstrates the potential of data-driven approaches to transform supply chain management. Furthermore, the paper explores the implementation of the Multi-Objective Supply Chain Optimization web application, highlighting its key functionalities and modules. By providing real-time tracking, dynamic route optimization, and expanded environmental impact analysis, the platform offers a holistic solution to the multifaceted challenges faced by modern supply chains. Ultimately, this research paper underscores the critical role of data analytics and machine learning in driving supply chain efficiency, reducing costs, and promoting environmental sustainability, thereby positioning businesses for long-term success in an increasingly interconnected world.
The Rise of the Red Dragon: China's Economic Expansion and Its Geostrategic Implications
Authors: - Mumin Ajaz
Published: April 2024

China's remarkable economic ascent over the past few decades has not only transformed its own society but has also reverberated across the global geopolitical landscape. This paper delves into the multifaceted dimensions of China's economic expansion and analyses its profound geostrategic implications for the international community. Beginning with an examination of China's economic growth trajectory, this study highlights the key drivers behind its rise, including rapid industrialization, export-oriented policies, technological advancements, and strategic state-led initiatives such as the Belt and Road Initiative (BRI). By leveraging its vast labour force, abundant resources, and strategic infrastructure investments, China has emerged as a global economic powerhouse, challenging the dominance of Western economies and reshaping global supply chains. China's economic expansion is intricately linked with its geopolitical ambitions. The BRI, for instance, serves not only as an economic development strategy but also to extend China's influence and cultivate strategic partnerships across Asia, Africa, and Europe. This has prompted geopolitical realignments and intensified competition for influence between China and other global powers, particularly the United States. In conclusion, as China continues to ascend as an economic superpower, understanding its geostrategic implications is crucial for policymakers, businesses, and scholars alike. By comprehensively examining the nexus between China's economic expansion and its geopolitical ambitions, this study contributes to a deeper understanding of the evolving dynamics in the international arena.
The Marginal Subjects: Exploring the Relationship Between Space and Identity
Authors: - Arya G
Published: April 2024

Life narratives often portray the undocumented realities of human experiences interlinked with various socio-cultural identifications. This paper delves into the relationship between space and identity for a lower caste/class Dalit self as represented in Omprakash Valmiki’s autobiography Joothan: A Dalit’s Life (2003). The narrative portrays the plight of a poor untouchable boy from a village in Uttar Pradesh into a successful, educated, professional man living in suburban Mumbai. Regardless of the special shift, his journey notes constant encounters with caste discrimination and marginalization. The narrative highlights the complex relationship between identity and space and how it plays an innate role in the protagonist’s phenomenological experiences. Stuart Hall suggests that identity is multilayered and rather than an accomplished fact, identity production is an ongoing process, changing with new cultural practices (Cultural Identity 222). Identity, thus remains closely interconnected with sociocultural ideas; the notions of power; and existing frameworks of real and imagined communities. Hence, the paper attempts to analyze the complex relationship between ‘space’ and ‘identity’ in the context of caste experiences portrayed in Joothan.
Corporate Restructuring and Insolvency Resolution: Analysis of the Insolvency and Bankruptcy Code
Authors: - Rashi Sharma
Published: April 2024

This research paper will probe into the complex field of Corporate Restructuring and Insolvency Resolution Processes along with the comprehensive analysis of the Insolvency and Bankruptcy Code (IBC), 2016. This study entails the broad and detailed analysis of the vital sections and regulations enacted by the code, in addition to its emphasis in the corporate sector with the help of some case studies and judicial precedents. Moreover, at the end of the reading, the reader will get an understanding of some of the strengths and weaknesses, challenges and opportunities and overall practical implication of the code on the corporate sector along with its impact. Thus our research area will be on exploring the operations of the Insolvency and Bankruptcy Code and what impact it carries out on the restructuring processes, along with knowing the factors which help in the success of the insolvency resolution.
Merger and Acquisition in Indian Banking System
Authors: - Arya , - Prof. Ruchi Atri
Published: April 2024

In the emerging economy with the changing scenario in the banking sector there are various steps taken to strengthen the financial sector. Since the aeon of globalisation and post-liberalisation of the Indian economy, the banking sector has begun to reform itself with the changing period of time. But since 2019 with the move to grow toward $5 trillion economy many steps had been taken in the banking sector, one of the major steps in the history of banking sector was the mega merger. In 2019 under union finance minister Nirmala Sitharaman in the form of mega merge in the banking sector many banks were merged, such as Punjab national bank with united bank of India and oriental bank of commerce (making it a 2nd largest public sector bank), Canara bank with syndicate bank (making it a 4th largest public sector bank) and recently hdfc merged into hdfc ltd (the biggest mortgage lender) on 4th pril,2022. This study deal with the merger and acquisition in the banking sector, types of mergers, history of merger and acquisition, reasons and outcomes
Impact of Lok Sabha Election on Stock Market
Authors: - Manka Chadha , - Diya Mittal , - Archi Sinha , - Shray Parekh , - Arunabh Bhatnagar , - Dr. Sachin Parappagoudar , - Prof. Sunitha B.K.
Published: April 2024

The article delves into the intricate relationship between Lok Sabha elections in India , and their impact on the stock market, investor sentiment, and economic outcomes. It highlights how such political events introduce uncertainty and speculation into the market, leading to heightened volatility characterized by abrupt price fluctuations and increased trading activity. Investors' sentiments, influenced by emotions and perceptions, play a crucial role during periods of political uncertainty, shaping trading patterns, asset valuations, and overall market dynamics.The paper suggests future research on Lok Sabha elections' long-term impact on stock markets, sectoral analyses, comparisons to other nations, and in-depth case studies on electoral dynamics.Furthermore, the study emphasizes the importance of understanding historical trends and sector-specific dynamics to predict market movements during election seasons accurately. It also highlights the critical role of investor sentiment, political stability, policy clarity, and economic flexibility in promoting long-term market growth and prosperity. The report suggests further research on the impact of political figures on stock market behavior, the temporal dynamics of market efficiency post-elections, and the integration of information dynamics with market efficiency studies. By addressing these research gaps, stakeholders can make more informed decisions to navigate election-related market uncertainty and capitalize on emerging opportunities, ultimately contributing to a deeper understanding of how political events shape market dynamics and informing investment strategies and policy decisions.
Sustainable Eco-Tourism Practices and Environmental Impact Analysis: A Case Study of Various Sites in Punjab, India
Authors: - Karmannye Chaudhary
Published: April 2024

Eco-tourism is a type of conscientious tourism that occurs in natural areas and seeks to both preserve the environment and improve the welfare of local communities. This investigation explores the realm of eco-tourism in the Shivalik Hills of Punjab, India which was done through demographic analysis, GIS mapping, and in-depth flora and fauna investigations in the region, with a particular focus on water-dwelling invertebrates, species found in wetlands, and birds. The results show that the Shivalik Hills have a remarkable biodiversity, with over 420 plant species and a diversified fauna, including 200 aquatic invertebrates and 200 avian species. The study assesses the effectiveness of eco-tourism methods, focusing on strategic water management using dams, responsible construction approaches, and successful rewilding projects and demonstrates the effectiveness of sustainable rewilding strategies, namely in their role in maintaining ecological balance and biodiversity. Overall, the research promotes responsible travel behaviours that live peacefully with environmental well-being, establishing a precedent for future projects and the symbiotic interaction between visitors, local communities, and wildlife conservation.