Edu Journal of International Affairs and Research, ISSN: 2583-9993

Role of Political Science in Shaping Civic Engagement and Democratic Values among Indian Students

Nutan — Tue, 02 Apr 2024 00:00:00 +0000

Political Science education plays a crucial role in fostering civic engagement and democratic values among students. This study examines how Political Science curricula in Indian higher education institutions contribute to developing a politically aware and active citizenry. The research explores the effectiveness of various pedagogical approaches, including interactive teaching methods, experiential learning, and the integration of digital tools, in enhancing students' understanding of democratic principles and their application in real-world contexts.

Through qualitative and quantitative analyses, the study investigates the impact of Political Science education on students' attitudes towards democracy, their participation in civic activities, and their overall political efficacy. Data is collected from a diverse sample of students across multiple universities, using surveys, interviews, and focus groups. The findings suggest that students exposed to comprehensive Political Science education are more likely to exhibit a strong commitment to democratic values, participate in community and political activities, and advocate for social justice and policy reforms.

Furthermore, the research highlights the challenges and opportunities within the Indian educational framework, including the need for curriculum reforms and the integration of contemporary political issues to make Political Science education more relevant and engaging. The study concludes with recommendations for educators, policymakers, and institutions to enhance the role of Political Science education in shaping a vibrant and participatory democracy in India.

By examining the nexus between education and civic engagement, this study underscores the pivotal role of Political Science in preparing the next generation of informed and active citizens, capable of contributing to the democratic process and societal development in India.

बनारस के बस्ती और गैर-बस्ती क्षेत्रों की महिला उत्तरदाताओं में जनसंचार (रेडियो, टेलिविजन) तक पहुँच के स्तर और पोषण संबन्धित ज्ञान, व्यव्हार और दृष्टिकोण का अध्ययन

ज्योति गुप्ता, डॉ. माधवी पांडे — Wed, 03 Apr 2024 00:00:00 +0000

वर्तमान अध्ययन का उद्देश्य खाद्य सामग्री के खाद्य मूल्यों के ज्ञान को जागृत करना है, साथ ही महिलाओं में अधिक पौष्टिक भोजन प्रदान करने के लिए उचित दृष्टिकोण को विकसित करना है जिससे परिवार में पौष्टिक भोजन की आदतों के लिए स्वस्थ प्रथाओं का विकास हो। इस उद्देश्य के लिए मास मीडिया एक महत्वपूर्ण भूमिका निभा रहा है। इसलिए बनारस के बस्ती और गैर-बस्ती क्षेत्रों की महिला उत्तरदाताओं में जनसंचार (रेडियो, टेलिविजन) तक पहुँच के स्तर और पोषण संबन्धित ज्ञान, व्यव्हार और दृष्टिकोण पर अध्ययन करना महत्वपूर्ण है । कुल 400 महिलाओं को वर्तमान अध्ययन के लिए जांच की इकाई के रूप में चुना गया. दोनों बस्ती और गैर-बस्ती क्षेत्रों में जनसंचार तक पहुँच सकने और नहीं पहुँच सकने वाली उत्तरदाताओं के बीच पोषण संबंधित औसत ज्ञान, व्यव्हार और दृष्टिकोण मे महत्वपूर्ण अंतर देखने को मिला।

Computational Studies on Reaction Mechanisms of Transition Metal Complexes

Narveer Mor — Thu, 04 Apr 2024 00:00:00 +0000

This study delves into the computational analysis of reaction mechanisms involving transition metal complexes. By employing advanced quantum mechanical methods, the research explores the intricacies of electronic structure, reaction pathways, and energy profiles of various transition metal catalysts. The primary objective is to elucidate the mechanistic details of catalytic processes, including bond activation, intermediate species, and product formation. Computational models, such as density functional theory (DFT) and Ab Initio calculations, are utilized to simulate and predict the behavior of these complexes under different reaction conditions. The findings offer valuable insights into optimizing catalytic efficiency and selectivity, thereby advancing the understanding of transition metal chemistry. This work not only contributes to the theoretical framework of reaction mechanisms but also has practical implications for designing more effective catalysts in industrial applications.

मिर्ज़ापुर जिले के ग्रामीण परिवारों के बीच मोबाइल फ़ोन के उपयोग के कारण परिवार और सामाजिक संबंधों पर पड़ने वाले नकारात्मक प्रभावों का अध्ययन

किरन सिंह, डॉ. माधवी पांडे — Fri, 05 Apr 2024 00:00:00 +0000

मोबाइल फोन का इस्तेमाल दिन-ब-दिन बढ़ता जा रहा है।आज मोबाइल फोन जीवन की जरूरत बन गया है।लेकिन इसके सभी लाभों के बावजूद मोबाइल फोन के उपयोग का हमारे समाज पर कुछ नकारात्मक और विनाशकारी प्रभाव भी पड़ता है। इस शोध का उदेश्य मिर्ज़ापुर जिले के ग्रामीण परिवारों के बीच मोबाइल फ़ोन के उपयोग के कारण परिवार और सामाजिक संबंधों पर पड़ने वाले नकारात्मक प्रभावों का अध्ययन करना था. यह अध्ययन के नमूने के रूप में कुल 600 उत्तरदाताओं को चयनित किया गया है।परिदर्श एकत्र करने हेतु प्राथमिक आंकड़े संरचित साक्षात्कार अनुसूची के माध्यम से एकत्रित किए गए।

A Study to Assess the Effectiveness of Awareness Programme on Knowledge Regarding Bladder Cancer among Workers in Selected Textile Industries at Bengaluru

Arunkumari. B. M, Mohan. K — Sat, 06 Apr 2024 00:00:00 +0000

Cancer, a potentially fatal disease and the second leading cause of mortality worldwide after cardiovascular disease, poses significant threats to health and family. Bladder cancer, the ninth most common cancer globally, was estimated to have 430,000 new cases in 2012 and ranks as the sixth most common cancer among men. The textile industry, a major global sector, exposes workers to numerous chemicals including dyes, solvents, optical brighteners, and both natural and synthetic fiber dusts, which can adversely affect their health. Many of these substances have been identified as mutagenic and carcinogenic. Continuous exposure to these chemicals underscores the need to assess cancer risk at various job levels within the textile industry to evaluate overall risk and develop effective cancer prevention strategies.

"The Impact of Geopolitical Shifts on Global Trade Networks: A Comparative Analysis"

Emily Zhuang — Sun, 07 Apr 2024 00:00:00 +0000

This paper examines the impact of recent geopolitical shifts on global trade networks, using a comparative analysis across different regions and economic sectors. With the rise of protectionism, trade wars, and shifts in global power dynamics, particularly between major economies such as the United States and China, the global trade landscape is undergoing significant transformation. The study analyzes how these changes have disrupted established trade routes, altered supply chains, and influenced market access for key industries. By examining case studies from Europe, Asia, and Latin America, the paper identifies the adaptive strategies employed by nations and corporations in response to these geopolitical changes. Additionally, it highlights the role of international trade agreements, regional partnerships, and digital trade in mitigating the adverse effects of these shifts. The paper concludes by discussing the long-term implications of evolving geopolitical landscapes on global trade stability and economic growth, emphasizing the need for greater multilateral cooperation and strategic trade diversification.

Digital Diplomacy: How Social Media Influences International Relations in the 21st Century

Liyam Smith — Mon, 08 Apr 2024 00:00:00 +0000

In the 21st century, digital diplomacy has emerged as a pivotal element in shaping international relations, with social media platforms playing a central role in this transformation. This paper explores the intersection of social media and diplomacy, examining how digital tools and platforms influence state behavior, public diplomacy, and global governance. By analyzing case studies and current trends, the paper demonstrates how social media enables real-time communication, amplifies state narratives, and facilitates direct engagement with foreign publics. The study also addresses the challenges and opportunities presented by digital diplomacy, including issues of misinformation, cyber security, and the digital divide. Ultimately, this research underscores the profound impact of social media on modern diplomatic practices and international relations, highlighting the need for adaptive strategies in an increasingly interconnected world.

The Role of International Organizations in Conflict Resolution: A Study of the UN and NATO

Ana Miller — Tue, 09 Apr 2024 00:00:00 +0000

This paper explores the critical roles of international organizations, specifically the United Nations (UN) and the North Atlantic Treaty Organization (NATO), in conflict resolution. It examines how these entities contribute to mitigating and resolving conflicts through their distinct mechanisms and strategies. The UN's role is analyzed through its peacekeeping missions, diplomatic efforts, and mediation processes aimed at addressing global conflicts. Conversely, NATO's involvement is scrutinized through its collective defense measures, crisis management operations, and cooperative security strategies. The study utilizes a comparative analysis to highlight the effectiveness and limitations of each organization in various conflict scenarios. By assessing case studies of recent conflicts, the paper sheds light on how the UN and NATO collaborate with member states and other international actors to achieve conflict resolution. The findings underscore the importance of a multifaceted approach to conflict management and the need for continued evolution in international organizational strategies to address complex global challenges.

Comprehensive Review on Privacy-Preserving Machine Learning Techniques for Exploring Federated Learning

Helix Schwarz — Wed, 10 Apr 2024 00:00:00 +0000

In the rapidly evolving field of machine learning, federated learning has emerged as a pivotal approach for enabling collaborative model training across decentralized data sources while maintaining data privacy. This comprehensive review explores various privacy-preserving techniques within the context of federated learning, offering a detailed examination of their mechanisms, effectiveness, and application domains. The review begins by providing a foundational overview of federated learning and its significance in protecting data privacy. It then delves into an array of privacy-preserving strategies, including differential privacy, secure multi-party computation, homomorphic encryption, and federated learning-specific enhancements such as noise addition and aggregation protocols. The review critically analyzes the strengths and limitations of these techniques, evaluates their performance in real-world scenarios, and identifies emerging trends and future research directions. By synthesizing current knowledge and advancements, this paper aims to serve as a valuable resource for researchers and practitioners seeking to understand and implement privacy-preserving methods in federated learning systems.

A Study on Deep Convolutional Neural Networks to Enhance Object Recognition Systems

Ethyan Anderson — Mon, 01 Apr 2024 00:00:00 +0000

In recent years, deep convolutional neural networks (DCNNs) have significantly advanced the field of object recognition, achieving unprecedented accuracy and efficiency. This paper presents a comprehensive study on the application of DCNNs to enhance object recognition systems, focusing on their architectural innovations, training methodologies, and performance improvements. We explore various DCNN architectures, including traditional models like AlexNet and VGG, as well as more recent advancements such as ResNet and EfficientNet. Our study examines the impact of different network depths, layer configurations, and regularization techniques on recognition accuracy. Additionally, we investigate the role of transfer learning and data augmentation in mitigating overfitting and improving generalization. Through extensive experiments on benchmark datasets, we analyze the strengths and limitations of current DCNN approaches, offering insights into their practical deployment in real-world applications. The findings highlight the potential of DCNNs to significantly enhance object recognition systems, paving the way for more robust and scalable solutions in computer vision.