bluuebunny/crossref_metadata_2025 huggingface dataset:
الفلسفة المثالية الإيطالية في القرن التاسع عشر- فلاسفة الريزورغيمانتو أنموذجا
Authors: الخطيب محمد
Published: April 2024

تعد الفلسفة المثالية من الفلسفات التي كان لها حضور كبير عبر تاريخ الفكر الإنساني، وحظيت هذه الفلسفة في إيطاليا من زمن الدول الرومانية وعلى امتداد القرون الوسطى بالأهمية الكبرى، وكانت ركيزة في تصورات الكنيسة المسيحية أساسية ، وظل هذا الاهتمام موجوداً في إيطاليا في القرن التاسع عشر عند عدد من المفكرين ممن إطلق عليهم فلاسفة الريزورغيمانتو أو البعث السياسي، اللذين كانت لهم اهتماماتهم السياسية والدينية والفلسفية في فترة حاسمة من تاريخ إيطاليا ، والتي أحدثت نقلة في توجهاتها ونظرتها الى العالم ، وهولاء الفلاسفة هم : غالوبي ، روسيميني ، جيوبرتي، ماتزيني ، ولذلك هدف البحث الى التعرف على مساهماتهم وتصوراتهم المندرجة تحت الفلسفة المثالية.
أثر البعد العقدي في الجرح والتعديل في كتاب الفهرست للشيخ الطوسي- دراسة استقصائية
Authors: خلف نافع
Published: April 2024

لا يخفى على الباحث في العلوم الإسلامية أهمية علم الرجال في تحصيل والحصول على المعلومة الدينية من مصادرها الاصلية، ومن هنا كان للوثاقة والضبط الأهمية الكبيرة في وصف الراوي للحديث الشريف
لقد أولى الشيخ الطوسي بعض الاهتمام في ذكر مذاهب الرجال واتجاهاتهم العقدية ممن تعرض لذكر مصنفاتهم في كتابه الفهرست.
وقد كان هذا البحث في ثلاث مطالب، الأول تولى ترجمة الرجال على ضوء اتجاهاتهم العقدية بدءً من رجال اهل السنة والى الامامية الاثني عشرية، والثاني مخصص للرواة من الامامية الاثني عشرية ممن لهم معتقدات فرعية خاصة. والثالث كان استقصاء بياني بالأرقام يوضح الاحصائيات التي تترجم ما تناوله الشيخ في فهرسته.
Theorizing "Exercise Book" Through the Perspectives of Three Translation Theorists Jakobson, Derrida and Benjamin
Authors: Liza Sharmin , Oysharja1 Lutfun Naher Mahmud
Published: April 2024

A noble translator uncovers a text for the target language readers. An amateur translator, on the other hand, may destroy the prospect, beauty, and liveliness of the text. Therefore, while translating a text, a translator has to turn on his/her utmost possible creative aptitude along with a fanciful imagination of linguistic ability in context. The text “Exercise Book” is a short story, the translation of “Khata”, extracted from the collection of Rabindranath Tagore's short stories titled Rabindranath Tagore: Selected Short Stories, translated by William Radice. This analysis attempts to explore the emotional narrative and discovers if it interprets the subjectivity of Uma’s feelings and thoughts depicted in the short story “Khata” relatively. In addition, this paper is an exertion to understand and scrutinize which category of the translation does this story follow, while translating a text whether it is a sense-for-sense translation or word-for-word translation and whether it is a literary art form or not. For theorizing the translated short story three translation theories by Jakobson, Derrida and Benjamin have been reconnoitered in the paper. Keywords: Translator, creative, sense-for-sense, word-for-word, art, translation
LIVED EXPERIENCES OF DANGEROUS DRUG USERS IN THEIR SOCIAL CAPITAL: A NARRATIVE INQUIRY
Authors: Dr. Mildred E Vila  , Dr. Jose Melarte G. Gooco Jr  , Ferdinand C. Villamil
Published: April 2024

In this study, the exploration of the phenomenon is through qualitative design. It intended to discover the real-life experiences of the dangerous drug user with their social capital. With the data from the participants, it provides the themes under the major theme created from life course theory. This concludes that social capital is significant either too dangerous drug use and be cured once the individual has the disorder. Therefore, recommendations are solely base to the life trend of dangerous drug users within the social capital.
KEYWORDS: Dangerous drugs, Experiences, Social Capital, Users
THE RELEVANCE OF RIGHT TO EDUCATION ACT. (RTE ACT.) 2009 FOR PROMOTING INCLUSIVE EDUCATION IN WEST BENGAL, INDIA
Authors: Dr. Ujjwal Paul
Published: April 2024

This paper explores the position of Inclusive Education in India, visualising on the relevance of the Right to Education Act. (RTE) of 2009 in fostering inclusivity within the education system. Through an examination of the key provisions of the RTE Act. and an analysis of its implementation, this paper discusses the progress made and the challenges faced in ensuring equal access to education for all children, including those with disabilities and from marginalised communities. As the ‘RTE Act 2009’, the law that provide the learners from the ages of 6-14 years the right to education for eight years i.e. up to class VIII, now it is the time to take accretion again on the standing position of the right to education of children who are amongst children with special needs or ‘children with disabilities’. A qualitative study has been conducted to understand the real scenario regarding the problems prevalent in the school for ensuring inclusiveness, the challenges faced by the teachers in reality who are the main responsible for ensuring inclusiveness in schools and the provisions of RTE Act, 2009 and also to explore the ways to resolve the situations as per the teachers’ opinion and drawing on existing literature and empirical evidence, recommendations and suggestions for the betterment of inclusive scenario in school.
KEYWORDS: Inclusive Education, Right to Education Act (RTE) 2009, Child rights, marginalized communities, disabilities, School Education
TRADE POLICY, EXCHANGE RATE DYNAMICS AND MANUFACTURING SECTOR OUTPUT IN NIGERIA
Authors: Dr. Francis Ariayefa ENIEKEZIMENE  , Endurance Ademola KEYAMO
Published: April 2024

Two macroeconomic policies that have impacted on Nigerias manufacturing industry are trade and exchange rate policies. From 1981 to 2022, this study looked at the connection between Nigerias real industrial production, exchange rate, and trade policy. Real manufacturing GDP served as a stand-in for real manufacturing output, and explanatory variables similar to the exchange rate, per capita income, monetary policy rate, manufacturing capacity utilization rate, import to export ratio, and dummy variables for structural adjustment were employed. The model was analyzed in the research by means of autoregressive distributed lag (ARDL) technique. The outcomes showed that while exports as a ratio of gross domestic product (EXGDP). Significantly boosted real manufacturing output (RMO) both in the near and distant future times. Imports as a ratio of gross domestic product (IMGDP) had a negative impact on RMO. Trade liberalization by DSAP had a significant benefit on actual manufacturing production over the long run, while it had a minimally positive impact on RMO during the near term. The rate of exchange has a short-term favorable influence on RMO but a long-term negative one. To increase manufacturing output, the federal government of Nigeria should align its trade policy with the export promotion industrialization plan.
KEYWORDS: Trade Policy, Exchange Rate Dynamics, Manufacturing Output, ARDL, Nigeria.
Uniform Civil Code: a Critical Analysis of Its Application in Contemporary India
Authors: - Madhav Khaneja
Published: April 2024

The implementation of a Uniform Civil Code (UCC) in India is a contentious issue, considering the country's diverse social fabric. While the Constitution recommends it, challenges arise due to religious sensitivities and political considerations. This research explores the complexities involved, including gender justice concerns and the need for gradual reforms. Public opinion varies, with some advocating for national integration, while others emphasize respecting religious and cultural diversity. Overall, the debate underscores the importance of navigating these complexities to uphold principles of justice, equality, and pluralism in India's legal system.
Exploring Financial Literacy: A Study of Socioeconomic Factors
Authors: - A Tejas , - Suresh A.S
Published: April 2024

This research project examines the relationship between socioeconomic factors and financial literacy among individuals in India. The study utilizes primary data collected through structured questionnaires from a diverse sample of respondents engaged in personal finance management. Descriptive analysis reveals that the average age of respondents is 24.4 years, with a wide range of income levels ranging from ₹0 to ₹200,000. Inferential analysis, including correlation and regression, indicates a significant positive correlation between income levels and financial literacy ratings. Furthermore, younger individuals and those with higher education and income levels exhibit better financial literacy. Based on these findings, the study recommends targeted financial education programs, early financial literacy initiatives, income-related interventions, and continuous learning opportunities to enhance financial literacy and promote economic stability in India. This research contributes to the understanding of the determinants of financial literacy and provides insights for policymakers, educators, and financial institutions to develop effective strategies for improving financial well-being in the Indian context.
Opinion Study on the Effects of School Dropouts among the Parents Meensurutty Village, Ariyalur District, Tamilnadu
Authors: - Dr.K.SHENBAHAM , - R.K.SNEHA
Published: April 2024

Dropout rates are considered to be a great wastage in the education system, not only do many students leave school without acquiring basic skills, but their premature departure represents a significant waste of scarce education resources. A person who leaves school, college, or university before completing a qualification, or a person who lives in an unusual way: a high school/college dropout. He was a loner and a dropout. On an individual level, dropping out of school often leads to lower paying jobs and less job stability. This can lead to a cycle of poverty and difficulty making ends meet. In addition, dropouts are more likely to become involved in crime and to struggle with addiction. Parents and the community play a crucial role in preventing and addressing school dropouts. Their involvement and support are vital for creating a positive and conducive environment that promotes academic success and reduces the risk of students leaving school prematurely.
Primary Small Cell Carcinoma of Hypopharynx-A Case Report of a Rare Tumor from a Tertiary Care Hospital in India
Authors: - Das Subhrajit , - Agrawal Anu , - Mishra Akhilesh
Published: April 2024

Introduction. Primary hypopharynx involvement of small cell carcinoma is very rare and very few cases have been reported in the texts. Here, we report a case of primary small cell carcinoma of hypopharynx with metastases to left humerus in a female patient of north india. Case Report. A 54 year old woman presented with a 4month history of shortness of breath and neck swelling in the left side. Fibreoptic laryngoscopy and biopsy revealed small cell carcinoma of the hypopharynx. Discussion. Small cell carcinoma of the hypopharynx still does not have any clear modality of treatment due to being a rare entity. Systemic chemotherapy and radiotherapy should be preferred over other treatment modalities.
Enhancing Online Learning Through Collaborative Course Development: A Case Study at the University of Botswana
Authors: - Dennis Mabalane
Published: April 2024

Online education has experienced remarkable expansion in recent years, driven by technological advancements and the increasing demand for flexible and accessible learning opportunities. The University of Botswana, like many institutions worldwide, has actively embraced this transformative trend, recognizing the need to adapt and innovate in the realm of higher education. The digital transformation of education has paved the way for innovative approaches to course development, and at the University of Botswana, one such approach has taken center stage: collaborative course development. To ensure that online courses meet the highest standards of quality and effectiveness, the University of Botswana has established a multidisciplinary team comprising online media developers, graphic designers, Learning Management System (LMS) administrators, instructional designers, and subject matter experts. This collaborative course development team embodies a holistic approach that leverages the unique skills and expertise of each member, ultimately enhancing the online learning experience for students. This article serves as a comprehensive case study, shedding light on the tangible impact of collaborative course development on the University of Botswana's online education ecosystem. Through an in-depth analysis of this multifaceted endeavor, we aim to not only highlight the distinct contributions made by individual team members but also emphasize the overarching benefits derived from their collaborative synergy. The pivotal role of collaborative course development in ensuring the quality of online education cannot be overstated. As the University of Botswana has embraced this innovative approach, it has positioned itself as a pioneering institution at the forefront of the digital education revolution. This case study seeks to unveil the transformative power of collaboration in course development and its ability to significantly elevate the online learning experience.
Technological Advancements in Halal Ecosystem: Harnessing Information Technology for Certification and Traceability
Authors: - Esnehara P. Bagundang , - Ma. Rhodora R. Gallo
Published: April 2024

This paper explores the role of technological advancements in addressing challenges within the Halal ecosystem, with a specific focus on certification and traceability. Applying information technology solutions such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and big data analytics, this study investigates how these technologies can streamline certification processes, enhance transparency, and improve traceability in the Halal supply chain. By examining current practices, challenges, and opportunities in the Halal industry, this research aims to contribute to the advancement of Halal certification and traceability through the utilization of information technology.
A Study on Employees Perception From Govche India Private Limited Towards Investing in Indian Stock Market
Authors: - Y.A.Joeavinash , - M.Jayseely
Published: April 2024

Stock market investments have become a typical occurrence for all people today. The development of the country's stock markets has a significant impact on the growth of the national economy. Global financial market developments have opened up a wide range of markets and investment opportunities for investors. Making investment decisions is a difficult undertaking that requires extensive analysis. Research has been conducted to identify the variables affecting investors' preferences and investment choices. Through the use of a structured questionnaire, primary data is acquired. The study included 107 respondents as its sample size. Data was analysed in this study using percentages, chi square, and Anova. It has been discovered that economic factors such as currency strength and legal considerations have an impact on investment choices.
Quality of Life in Females with PCOS
Authors: - Gaurangi Gosavi , - Mahendra Shende
Published: April 2024

The study aimed to assess the quality of life in females with Polycystic Ovarian Syndrome(PCOS) and identify the domains or health factor which most significantly impacted by this condition. This study involved 40 unmarried females diagnosed with PCOS. After completing demographic formalities,
participants filled out the self-administered Polycystic ovarian syndrome quality of life (PCOSQOL) questionnaire, followed by the SF36 generic health quality of life measuring scale. The findings from the PCOSQOL questionnaire revealed that menstrual problems had the lowest mean score, while infertility issues had the highest mean score. Additionally, the SF36 results showed that emotional well-being and energy fatigue had the lowest scores, whereas role limitations in social and physical functioning had the highest scores. In conclusion, this study found that PCOS significantly diminishes the quality of life in affected females, particularly due to menstrual problems and emotional well-being.
Python - Powered Hybrid Visual Cryptography for Secure Cloud Transmission in the Banking Sector
Authors: - D.Sasi Preetha , - M.Elavendhan , - J.Hemanandhini , - M.Janapriya , - S.Nandhini
Published: April 2024

This paper proposes a novel method to enhance security in cloud transmission within the banking sector by leveraging Python to implement a hybrid visual cryptography system. The approach combines visual cryptography with the robust RC4 algorithm to ensure the security of banking data. Sensitive banking information is divided into QR code shares to prevent any individual share from revealing information during encryption and decryption. These encrypted shares are then uploaded to cloud storage, enhancing security and confidentiality while facilitating proper information transmission. The system is designed to address security concerns in the banking industry, promoting effective data management and secure cloud transmission practices.
Exploring the Factors that Shape the Intentions of Namibian Youths Towards Social Entrepreneurship
Authors: - SN Mulunga , - MK Agarwal
Published: April 2024

This study investigates the factors influencing social entrepreneurial intentions among youth in Namibia and explores their relationship with social entrepreneurship. The research adopts a qualitative and quantitative approach. Data was collected through google form which was sent via Namibian WhatsApp group in India. 69 students participated in the study, where 42 were females and 22 males. The data are analysed using factor analysis and regression analysis. The findings show that among young Namibians, self-efficacy and prior experience are major predictors of social entrepreneurship goals. In addition, when asked about the obstacles preventing them from launching social initiatives, respondents stated that 68% cited restricted access to cash as the key barrier, 7% mentioned a lack of self-esteem and competence in the area of social entrepreneurship, and 4% mentioned a lack of support networks. These findings offer valuable insights into the primary factors influencing social entrepreneurship in the Namibian context, providing guidance for policymakers and practitioners aiming to promote social entrepreneurship among youth. Additionally, the study recommends that higher education institutions incorporate social entrepreneurship into their curricula across various subjects. By providing insights to educators, policymakers, and youth, this research underscores the positive impact of social entrepreneurship on communities, contributes to the ongoing discourse, and raises awareness about social entrepreneurship among young individuals.
Exploring the Effects of Rapid Urbanization in Dehradun in Works of Jaskiran Chopra
Authors: - Anurag Tamoli , - Shantanu Ghosh
Published: April 2024

Dehradun, a city in the foothills of the Himalayas, has evolved significantly over the years, influenced by various factors such as historical development, cultural changes, and environmental shifts. This research aims to analyze the effects of rapid urbanization and transformation of Dehradun as depicted in the work of Jaskiran Chopra Autumn Raga. This work also shed light on the anthropocentric development and environmental challenges faced by Dehradun as it transforms into a modern urban center. this study aims to present a comprehensive picture of the city's rapid evolution, encompassing its architectural, environmental, and cultural dimensions.
Identification & Evaluation of Distribution Risk in Food Supply Chain in Zomato
Authors: - Anjali Bhati , - Mr. Reji John
Published: April 2024

The rapid growth of the food delivery industry has transformed the way consumers access food, with platforms like Zomato playing a pivotal role in facilitating this change. However, this growth has also brought forth various challenges, particularly in ensuring the efficiency and safety of the food supply chain. Distribution risks, encompassing factors such as delays, quality issues, and disruptions, pose significant threats to the smooth flow of food from suppliers to consumers. This research project aims to identify and evaluate distribution risks in the food supply chain of Zomato, shedding light on potential vulnerabilities and proposing strategies for mitigation.
Advanced Neural Network Architecture for Enhanced Multi-Lead ECG Arrhythmia Detection through Optimized Feature Extraction
Authors: - Bhavith Chandra Challagundla
Published: April 2024

Cardiovascular diseases are a pervasive global health concern, contributing significantly to morbidity and mortality rates worldwide. Among these conditions, arrhythmia, characterized by irregular heart rhythms, presents formidable diagnostic challenges. This study introduces an innovative approach utilizing deep learning techniques, specifically Convolutional Neural Networks (CNNs), to address the complexities of arrhythmia classification. Leveraging multi-lead Electrocardiogram (ECG) data, our CNN model, comprising six layers with a residual block, demonstrates promising outcomes in identifying five distinct heartbeat types: Left Bundle Branch Block (LBBB), Right Bundle Branch Block (RBBB), Atrial Premature Contraction (APC), Premature Ventricular Contraction (PVC), and Normal Beat. Through rigorous experimentation, we highlight the transformative potential of our methodology in enhancing diagnostic accuracy for cardiovascular arrhythmias.
Arrhythmia diagnosis remains a critical challenge in cardiovascular care, often relying on manual interpretation of ECG signals, which can be time-consuming and prone to subjectivity. To address these limitations, we propose a novel approach that leverages deep learning algorithms to automate arrhythmia classification. By employing advanced CNN architectures and multi-lead ECG data, our methodology offers a robust solution for precise and efficient arrhythmia detection. Through comprehensive evaluation, we demonstrate the effectiveness of our approach in facilitating more accurate clinical decision-making, thereby improving patient outcomes in managing cardiovascular arrhythmias.
A Machine Learning Based Approach to Predict Customer Churn in Airline Industry : The Case of India
Authors: - Krushna Bembade , - Soumitra Das , - Aditya Dixit , - Aryan Raut , - Aniket Yadav
Published: April 2024

This research addresses the challenge of customer churn in the airline industry by leveraging machine learning (ML) techniques to predict and understand the factors influencing customer attrition. Drawing on a comprehensive dataset encompassing customer demographics, flight history, and service interactions, we employed rigorous data preprocessing techniques and evaluated various ML algorithms
Optical Character Recognition System in Healthcare and Hospital Management
Authors: - Pranit Patil , - Shambhavi Kulkarni , - Vaidehi Bhujbal , - Varsha Chavan
Published: April 2024

The paper proposes a new Optical Character Recognition (OCR) model for medical documents. This model uses advanced machine learning and deep learning to improve the accuracy of extracting text from scanned medical images and various other documents. The goal is to make medical records more accessible and easier to manage electronically. The model can handle both English and multiple other languages, making it suitable for global healthcare use. It also explores adding Text-to-Speech functionality to convert the extracted text to audio, improving accessibility for users with visual impairments. By combining these features with insights from previous OCR and Text-to-Speech research, the model aims to streamline healthcare workflows and improve accessibility for everyone.
To Study the Consumption and Disposal Behaviour of Women in Delhi Towards Undergarments
Authors: - Akanksha
Published: April 2024

This project aims to study and understand the approach towards undergarments usages and disposal behavior in Indian society (primarily among Indian women).
Indian undergarment market is undoubtedly one of the unique markets among the world's primary market today. High functionality and the demand, for now, are the main reason for sudden expansion [1]. The consumption increment ultimately will lead to disposal increment [2]. The industry needs to follow a sustainable method for this small piece of clothing.
This research study is an effort to know the consumption & disposal behavior of women towards their undergarments. This research study also helps understand the consumer attitude towards recycling the undergarments & find alternative ways to sustain them.
Undergarments are a largely neglected part of women's clothing, which, this research study argues, is nonetheless as important as 'outward' dress. Indeed, undergarments are more interesting in some ways because it is hidden from view, but still appears to have considerable social/discursive importance [3].
The research model used for this research is qualitative, formulated to the conceptual framework, and studied to quantify in numbers.
Research methodologies used are historical, Comparative, Descriptive, Correlation (between two results accordingly), and Evaluation.
A Study to Assess the Knowledge Regarding Heat Stroke and is Prevention among Farmers in Selected Rural Area, Lucknow
Authors: - Pragati Maurya , - Juhi Mishra , - Arti Chaudhari , - Priya Soni , - Ms. Preeti Rawat , - Mrs. Shabih Zehra
Published: April 2024

a study to assess the knowledge regarding heat stroke and its prevention among farmers in selected rural area, Lucknow. Qualitative research approach with descriptive research design was used on 42 farmers each farmers were given informative programme on heat stroke. The socio-demographic data was collected. The knowledge was asses by self structured questionnaire. Descriptive statics and inferential statistics were used to analyze the data. Result: The finding related to the knowledge and its prevention regarding selected structured questionnaire of heat stroke. There are significant in term of knowledge of p value >0.05. According to knowledge,[ 61.90%] had moderate knowledge,[ 35.71%] had adequate knowledge, [2.385] had inadequate knowledge. The data shows there is significant with demographic variables. The following conclusion were made on the basis of finding of the study the farmers are having moderate knowledge regarding heat stroke and its prevention .There was significant association existing in farmers at p value >0.05 . According to knowledge [61.90%], moderate knowledge [35.71], adequate knowledge [2.385] regarding heatstroke. The future study should enhanced and promote the knowledge and its prevention regarding heatstroke among the farmers worldwide
The Effect of Parenting Styles on Emotional Intelligence
Authors: - Saanvi Nagi
Published: April 2024

This research paper explores the impact of parenting styles on emotional intelligence (EI) of college students. Through a comprehensive review of existing literature and empirical studies, various parenting styles such as authoritative, authoritarian and permissive are analyzed in relation to their influence on the subject's emotional intelligence. The paper investigates how parental behaviors, communication patterns, and disciplinary approaches shape one's ability to recognize, understand, and manage their own emotions as well as those of others. For this purpose 100 college students between the ages of 18 to 25 were taken from urban areas of Delhi NCR, India.
A Study on Customer Perception & Satisfaction on Digital Marketing in Online Advertising Company
Authors: - Kalaiarasan , - K.Seethal
Published: April 2024

While working in the organization I was trained as a relationship personnel being engaged into various jobs such as dealing with clients, answering customer queries through telephonic conversations and providing them knowledge about new schemes and converting them into our customers.
As my research project I was given the topic on “Customer Satisfaction and perception on Digital Marketing in Online Advertising Company”. The project work was for this research was conducted in Lucknow to study the customer relation management.
The research has been conducted to gather information from 100 respondents & a structured questionnaire will be used to collect the information from the respondents. The data which was collected from them will be analyzed and classified.
Role of Information Technology in Enhancing International Marketing
Authors: - Syrel Rawat , - Prof. Dharmendra Kushwaha
Published: April 2024

Information Technology (IT) has become an indispensable tool in the realm of international marketing, reshaping traditional strategies and opening doors to unprecedented opportunities for businesses worldwide. This abstract delves into the pivotal role of IT in enhancing international marketing practices, shedding light on its transformative impact on market expansion, customer engagement, and competitive advantage.
Gandhian Perspective of Non-Violence
Authors: - Dr Devender
Published: April 2024

Gandhi's great achievement was to evolve and practice a non-violent method for conflict-resolution at the beginning of the twentieth century, which proved to be the most violent century in the annals of mankind. In the first half of the century, which almost synchronized with Gandhi's entire public life, there were two devastating world wars with a colossal loss of life. In the second half we were spared the catastrophe of a third world war, but the 'cold war' between two rival ideological-cum-military blocs brought the world to the verge of an atomic holocaust: only a 'balance of terror' between them kept the peace. so spoke Mahatma Gandhi, celebrating the need and nature of the principle of non-violence for mankind. All wise men down the ages have preached the doctrine, of love and non-violence. Zoroaster, Buddha, Mahavira, Christ, Nanak primarily emphasized a moral code that gave due status to non-violence. Non-violence is a philosophy of life, a modus operand which has been accepted as an article of faith in the East as well as the West. But what does the word ‘non-violence’ mean in simple terms? To what extent can and should non-violence be exercised in daily life? And is it not true that the world today is in dire need of nonviolence?
Development of Carpooling Website using Machine Learning
Authors: - Meduri VNS SRK Sai Somayajulu , - G.Karthik , - R. Sai Kiran , - K.Chandu Venkata Satya Sai Ganesh , - N.Jaswanth
Published: April 2024

In the face of urban congestion and environmental concerns, Carpooling has emerged as a sustainable solution for optimizing transportation resources. This abstract presents the architecture and functionality of a Carpooling Website designed to facilitate efficient ride- sharing among users. The proposed web Website offers a user-friendly interface allowing individuals to register, create profiles, and list their travel preferences including departure times, routes, and passenger capacity.
A Study on Customer Satisfaction in E-Shopping with Reference to Coimbatore City
Authors: - C.Geetha
Published: April 2024

Online shopping in the process whereby consumers directly buy goods, services etc., from a seller interactively in real-time without an intermediary service over the internet. Online shopping is the process of buying goods and services from merchants who sell on the Internet. Since the emergence of the World Wide Web, merchants have sought to sell their products to people who surf the internet. Shoppers can visit web stores from the comfort of their homes and shop as they sit in front of the computer. Consumers buy a variety of items from online stores.
Analysing the Impact of Corruption for Underdevelopment in African Countries
Authors: - Barun Basak
Published: April 2024

Corruption remains a pervasive challenge worldwide, with profound implications for the development trajectory of African nations. In recent decades, the detrimental effects of corruption on economic growth, political stability, social cohesion and institutional integrity have become increasingly evident. African countries, despite possessing abundant natural resources and human capital, often struggle to achieve sustainable development because of the pervasive influence of corruption within their socio-political and economic systems. This study aims to comprehensively analyse the multifaceted impact of corruption on the underdevelopment of African countries. By delving into the intricate interplay between corruption and various developmental indicators, including but not limited to poverty levels, infrastructure development, healthcare, education, and investment climate, this study seeks to provide valuable insights into the underlying mechanisms through which corruption impedes progress and perpetuates underdevelopment. Corruption in African countries manifests in various forms ranging from petty bribery and embezzlement to grand corruption involving high-ranking officials and multinational corporations. Such corrupt practices undermine the rule of law, erode public trust in institutions, and breed a culture of impunity, thereby stifling economic growth and exacerbating social inequality. Furthermore, corruption distorts resource allocation, diverts public funds from essential services, and impedes the effective delivery of public goods, hindering efforts to alleviate poverty and improve living standards. Moreover, the corrosive effects of corruption extend beyond the economic realms to encompass political instability and social unrest. By distorting electoral processes, undermining democratic governance, and fostering patronage networks, corruption undermines the legitimacy of governments and fuels grievances among marginalized populations, exacerbating social tensions and compromising peace and security. Understanding the intricate dynamics between corruption and underdevelopment is imperative for devising effective strategies to combat this pervasive scourge and to foster sustainable development in African countries. By identifying the root causes of corruption; assessing its systemic impact; and exploring potential policy interventions, policymakers, researchers, and development practitioners can create an enabling environment conducive to transparency, accountability, and good governance.
Recent Advances and Future Directions in the Management of Metastatic Castration-Resistant Prostate Cancer using Androgen Receptor Signaling Inhibitors and Poly-adipose Polymerase Inhibitors: a Literature Review
Authors: - Muhammad Rayyan Faher Shahab , - Nouval Shahab
Published: April 2024

Prostate cancer is still the most common cancer in men and the second leading cancer-related cause of death in men worldwide. There are several types of prostate cancer. One of which is the metastatic progression of castration-resistant prostate cancer (mCRPC). According to current studies, the mechanism of resistance can be categorized into classical androgen receptor (AR) pathway overexpression, abnormal AR pathway activation, and non-AR pathway. These mechanisms develop overtime to further induce treatment resistance in mCRPC. Development of novel therapeutic treatments is necessary to tackle this issue. Recent studies have been conducted on the combination therapy of androgen receptor signaling inhibitors (ARPi) and poly (ADP-ribose) polymerase inhibitors (PARPi) in treating mCRPC shows a nuanced perspective regarding its efficacy compared to monotherapy. Studies shows the combination therapy has significantly prolong radiographic progression-free survival (rPFS) compared to monotherapy in certain genetic groups. Further research is necessary to fully understand their role in the broader mCRPC treatment landscape.
Detection Of Pulmonary Diseases in Lung Using CT & X-ray Images CNN
Authors: - Praveen Kumar A , - Asan Nainar M , - Sam Ruban D , - Rahul Raj K , - Ranjith S
Published: April 2024

This study presents a deep learning approach utilizing Convolutional Neural Networks (CNNs) for the detection of pulmonary diseases from CT and X-ray images. With the rising prevalence of respiratory illnesses, accurate and efficient diagnosis is crucial for timely treatment. The proposed CNN framework leverages its ability to automatically learn discriminative features from medical images, enabling robust disease detection. By training on a diverse dataset comprising CT and X-ray scans, the model achieves high sensitivity and specificity in identifying common pulmonary conditions such as Covid-19 & Effusion Disease. The results demonstrate the potential of CNNs as a valuable tool in the early detection and management of respiratory diseases, contributing to improved patient outcomes and healthcare delivery.
Impact of Omni Channel Experience On Customer Satisfaction In Banks of Chennai
Authors: - Dr. Nisha Guruharan , - Nisha. S
Published: April 2024

With over 58% of the world's population owning a smart phone and with their screen time averaging around 3 hours and 15 minutes per user, it is evident that today's customers want to be constantly connected to their service providers and avail their service at all possible times. The ability to receive early notification of the launch of contextual services and efficient connectivity are the top priorities of a new generation of banking customers. This enables the customers to get more individualized services that they deserve and also makes them aware of any relevant bank offers. These prospects are made possible with Omnichannel retail banking, which encourages customers to have an Omnichannel experience and connectivity.
Challenges and Opportunities in Online Higher Education
Authors: - Ch.S.Anuradha , - A.Hymavathi
Published: April 2024

Online higher education has rapidly expanded, particularly accelerated by global issues such as the COVID-19 pandemic. This transformation has introduced significant challenges and opportunities, affecting educators, students, and institutions worldwide. This paper reviews the current landscape of online higher education, examining its difficulties including technological accessibility, pedagogical adaptation and student engagement, alongside opportunities such as expanded access to education, personalized learning, and cost reduction. Recommendations are provided to address these challenges and to maximize the benefits of online learning environments.
NITI Aayog “Paving the Way for India's Economic Superpower Status”
Authors: - Mariya Faiz , - Shambhavi Singh
Published: April 2024

India is heading towards the direction of a more healthy and sustainable future because of NITI which is a light of hope and development on the path. It has achieved remarkable progress in addressing the critical issues in various fields of the economy through creative legislation and strategic initiative and with a cooperative approach. its broad spectrum of responsibility and proactive approach with the help of India to accomplish its objective.to become an economic superpower without leaving any behind and to contribute to its socioeconomic targets. Furthermore, it has played an important role and brought a beneficial change in the lives of those people who are socially and economically disadvantaged and work on the upliftment of their condition of living. This paper seeks to attempt a brief overview of the nation management landscape contemporary state of art achievements and challenges.
Interface And Interplay Between Intellectual Property Rights (IPR) And Competition Law
Authors: - Anugraha Sabu , - Rekha Verma
Published: April 2024

Intellectual property rights (IPR) bestow exclusive legal privileges upon owners, restricting others’ access and thereby potentially reducing market competition. In contrast, competition law (also known as antitrust law) aims to foster competition and enhance market accessibility. These two domains may appear fundamentally opposed, yet an alternative perspective suggests that they can not only coexist but also mutually reinforce each other. This Paper endeavors to explore the interconnectedness and interdependence of IPR and competition law and seeks to unravel the common thread between these legal domains in the Indian context, providing a comprehensive understanding of their interplay. It underscores the essential role of both in bolstering a nation’s economic efficiency. By coexisting harmoniously, IPR and competition law contribute to a more robust system, and this study offers practical guidelines to enhance the effectiveness of India’s competition law framework and patent offices.
Exploring the Nexus: Economics of Happiness and Quality of Life in College Students
Authors: - LATHA R , - KAVITHA VANI SD
Published: April 2024

A happy person will have a more active lifestyle, better career opportunities, and promote a more productive, cohesive, and lasting sustainable society. India is noted for having one of the world’s youngest populations. India has more than fifty percent of the population under 25. The primary objective of this study is to explore the levels of happiness and quality of life among college students in rural and urban areas of Karnataka. The sample comprises college students aged 18 to 25, drawn from different rural and urban colleges in Karnataka using a stratified random sampling method: the Oxford Happiness Questionnaire and the Quality-of-Life Questionnaire for data collection. The collected data underwent analysis using descriptive and inferential statistical methods. It was observed in the present study that there was no significant difference between rural and urban students in Physical and Psychological quality of life. Results also indicate that in Social and Environmental domains urban students are better than rural students. The study revealed a significant relationship between happiness and different quality of life domains among urban and rural college students
Legal Perspective of Cryptocurrency and Benefit to Economy and Society
Authors: - Namrata Jain , - Dhanista Seva Sansthan
Published: April 2024

Cryptocurrency is a unique digital signature which is allotted to every individual that is a part of this whole network. This digital signature is used to identify which users have participated in the transaction. The capacity of each block is almost 1 Mb so each block can store in its thousands of transactions.

At present time used some crptocurrencies Bitcoin (CRYPTO:BTC); Ethereum (CRYPTO:ETH);Tether (CRYPTO:USDT);BinanceCoin(CRYPTO:BNB);USDCoin (CRYPTO:USDC);XRP(CRYPTO:XRP);Terra (CRYPTO:LUNA);Solana (CRYPTO:SOL); Cardano(CRYPTO:ADA);Avalanche (CRYPTO:AVAX)

Bitcoin is considered the first cryptocurrency created, and other individual cryptocurrencies are known as “altcoins” (a combo word derived from "alternative coin").The concept of Crypto-currency and bitcoin were first proposed in 2008 by someone using the pseudonym Santoshi Nakamoto,who described how cryptology and an open distributed ledger can be combined into digital currency application(Nakamoto 2008).The main aim of this research paper to conclude that how much extent benefit to the economy and society from the crypto-currency. And secondory aim is to judge legal acceptance of the cryptocurrencyin the various countries.
Enhancing the Electrical, Dielectric, and Structural Properties of CeO2-ZrO2 Nanocomposites
Authors: - Imran Khan , - Anis Ahmad
Published: April 2024

For enhancing the breakdown strength and increase the capacity of high voltage power supply with high oxidation stability and good electric properties, Ceramic nanomaterials like zirconia (ZrO2) and Ceria (CeO2) preferred due to their strong insulating property and high relative permittivity. In this article, we have reported the synthesis of CeO2/ZrO2 nanocomposite by chemical method. The use of surfactants during synthesis have an adverse effect on the catalytic activity of CeO2 with different morphologies like nanorods, nanocubes, and nano-octahedra. In addition, zirconia can be synthesized via a variety of techniques, including sol-gel, hydrothermal, and precipitation procedures, and combined with other metal oxide nanoparticles. The synthesized nanocomposites were analyzed by X-ray diffraction (XRD), scanning electron microscope (SEM). The crystalline nature and mixed phase of CeO2/ZrO2 nanoparticles have been confirmed by the findings of XRD and SEM analysis. At various frequencies and temperatures, the dielectric constant and dielectric loss of the synthesized nanoparticles were determined. The conductivity and dielectric characteristics of the synthesized samples exhibited temperature and frequency dependency, indicating that the dopant concentration had a significant impact. As frequency increased, the nanoparticles' tangent loss and dielectric constant dropped sharply. These nano-composites can be used as a metal oxide semiconductor for memory devices as well as fuel cells.
Stock Market Prediction and Analysis using Supervised Learning
Authors: - Ashutosh Talekar , - Anirudha Landage , - Lokesh Dhake , - Shambhooraje Jadhav , - Reshma Kohad
Published: April 2024

The Stock Market Remains a Captivating Subject for Stockbrokers and Investors Seeking Financial Success Through Strategic Equity Trading. Informed Decisions Are Pivotal in Navigating the Dynamic Landscape of Stock Investments, Prompting the Adoption of Various Predictive Techniques. This Study Introduces a Novel Prediction Algorithm That Elucidates the Intricate Relationship Between Independent Variables—Comprising Opening and Closing Prices, High and Low Stock Values, and Trading Volume—and the Dependent Variable, Which Is the Stock Price. Leveraging a Deep Learning System, We Demonstrate the Efficacy of Generating Precise Stock Price Forecasts.
Our Research Ambit Encompasses a Comprehensive Exploration of Diverse Deep-Learning Architectures Tailored to Anticipate Stock Prices for Global Conglomerates and Indian Enterprises. A Primary Objective Is to Conduct a Comparative Analysis of These Architectures, Discerning Their Respective Performances in Stock Price Prediction Scenarios. Notably, Long Short-Term Memory (Lstm) Algorithms Are Instrumental in Achieving Heightened Accuracy and Robust Prediction Outcomes.
The Methodology Entails Meticulous Data Collection From Historical Stock Market Datasets Spanning Various Companies of Global and Indian Origin. Subsequent Data Preprocessing Involves Addressing Missing Values, Standardizing Features, and Structuring the Data Into Sequences Conducive to Lstm Model Input. The Lstm Architecture, Characterized by Its Adeptness in Capturing Long-Term Dependencies and Temporal Patterns, Forms the Cornerstone of Our Prediction Model. Through This Research Endeavor, We Aim to Provide Valuable Insights Into the Potential of Deep Learning Algorithms, Particularly Lstm, in Facilitating Informed Decision-Making for Investors and Stock Market Participants
Enhancing Women's Commuting Experience: A Study of Ladies’ Special Trains in the Mumbai Suburban Railway System
Authors: - Jenish Bezad Sukheswala , - Kuldeep Shivprasad Sharma
Published: April 2024

The suburban railway network in Mumbai plays a crucial role in the daily lives of millions of people. To improve safety and comfort for female commuters, Ladies’ Special Trains have been introduced. This research paper undertakes a comparative analysis of Ladies’ Special Trains and conventional local trains, examining their historical backgrounds, developmental trajectory, and influence on the commuting experiences of women. Through the evaluation of safety, comfort, and convenience, we analyse the advantages and disadvantages of both transportation methods to inform future enhancements. The results of this study make a valuable contribution to the scholarly conversation and provide valuable insights for policymakers, transportation authorities, and civil society organizations involved in promoting inclusive and secure mobility solutions in Mumbai.
Intra-specific Comparative Study of Zeylanidium Olivaceum, Kerala, india, with Special Reference to Polymorphism
Authors: - NILEENA C.B.
Published: April 2024

The intra-specific variations and inter –generic similarities of the members of Podostemaceae are very peculiar.Most of the members of this family show polymorphism especially Zeylanidium olivacium.To understand the real relationship between the members ,a detailed study of the species was done.The ccomparison was done between specimen collected from 5 different localities.