Effectiveness of Pradhan Mantri Ujjwala Yojana towards Sustainable Living for Indian Households
1Aruna Kumar Dash, 2Debajani SahooIn this study, we attempted to critically examine the effectiveness of Pradhan Mantri Ujjwala Yojana(PMUY) in Indian households. This study is relevant to the contemporary world as it addresses critical issues such as public health, environmental sustainability, and social equity. By encouraging the adoption of LPG instead of traditional biomass fuels, PMUY greatly decreases indoor air pollution, leading to improved health outcomes for women and children. It also supports environmental goals by minimizing deforestation and carbon emissions. Furthermore, the program empowers women by freeing up time previously spent on fuel collection, thus enhancing their economic opportunities. The findings of this paper could provide important guidance for improving policies and institutions that facilitate a socially inclusive shift to cleaner energy in rural communities.
An Operating System for the Rise of AI Technology
Dr. Surekha Lanka1, Latifa Amar Al-Nadhdy2 , Nan Su Yee Htike3This research paper explains the importance of operating systems for Artificial Intelligence based systems and as we are aware that AI technology growing fast and many of them trying to adapt the new technology to make their tasks easier. So, in this paper we will be explaining how operating systems could support and make AI computing better in terms of performance, security, and efficiency. Any system collaborating with AI to enhance users' experience and optimize the performance of system. It specifies the software system pledged for management of software and hardware resources. This paper aims to understand exactly what AIOS is and what are the required features that make AIOS, not only that but also get to know what it means for the future of artificial Intelligence based operating systems in various fields. Eventually more clearly understanding on what the current performance of AIOS and its framework and concentrates deeper into why AI-enhanced operating systems are essential for bringing new ideas and better performance to computer processes.
Factors Contributing to Maternal Health Challenges in Kolkata's Slums
1Ms Emeli Ghosh, 2Mr Sudipta Das, 3Dr Shweta Meshram, 4Mr Prateek SinghThe Pradhan Mantri Surakshit Matritva Abhiyan (PMSMA) is a government initiative in India aimed at improving maternal health by providing free, comprehensive antenatal care, especially in underserved areas. This study examines the program’s implementation and impact in urban slums, where overcrowding, inadequate healthcare infrastructure, and socioeconomic barriers create significant challenges for accessing quality maternal care. By evaluating PMSMA’s reach and effectiveness in these areas, the study seeks to identify ways to enhance maternal health interventions and reduce maternal and infant mortality rates in high-need urban slum populations.
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Reading Memory in the Select Poems of Dylan Thomas
Dr.Chandrima Sen & Prof. Pradip Kumar PatraThe 19th-century Welsh poet, Dylan Thomas is a prolific poet of his time. He is well known for delineating his emotional self.His poems ascertain the trajectory of life and living, hope and aspiration, time and place, nostalgia and memory and death and dying. The most significant aspect of his poetry appears to be the re-association and reorientation of his past. This particular paper concentrates on the select poems namely “A Poem in October” (1944) and “Do not Go Gentle into that Good Night” (1951) where there is a spontaneous growth of time past and time present. His childhood innocence and youthful vigour occupy a special place in his poetry. The element of time sets to unite his thoughts with his actions. His poems represent the correlation between the self and the individual. The paper attempts to reread memory as one of the dominant aspects of his poetry. The poet urges to show the binary between self and individual, society and habitat and family and culture. He associates himself with his regulatory nature in accepting memory as the earmark of his poems. His poetic persona resonates between memory and recollection. This paper sets out to explore the idea of memory as a contemplating agent that strives as the primary advocate of all human perception. The paper also concentrates on locating memory in its corporeal state.
The Gravitational Pull of Leadership: How Leadership Traits Resonate in Organizational Dynamics
Dr. Debdip Khan1, Dr. Sudatta Banerjee1This paper explores leadership traits through the lens of gravitational theory, proposing that effective leadership operates similarly to gravitational forces, creating an attractive force that aligns individual goals with organizational objectives. By drawing an analogy between gravitational attraction among celestial bodies and leadership’s influence on organizational members, this study examines how a leader’s “gravitational pull” encourages cohesion, motivation, and goal alignment within teams. Using theoretical constructs such as mass (individual potential), distance (industrial relations), and gravitational force (leadership influence), this research highlights how leaders play a central role in binding organizational elements, thus maximizing overall performance level.
The abilityof machines to carryout tasks that ordinarilyrequire human intelligence is known as artificial intelligence. AI has been included into all dental specialties like periodontics, prosthodontics, endodontics, oral & maxillofacial surgery, etc. Most AI applications in dentistry are focused on diagnosing problems based on radiographic or optical images; other activities are less suitable than image-based jobs because of limitations in data availability, data consistency, and processing capacity to handle 3D data. In a similar vein, ongoing researchisconductedinthefieldofperiodonticstomeasurevariousaspectssuchasboneloss and the quantity of plaque present. This review aims to help periodontists better comprehend AI as a tool to support their normal job with increased efficiency.
Analyzing Media Literacy Skills in Teacher Trainees: An Extensive Study
Bisini P SThe study aimed to evaluate the media literacy competencies of teacher trainees, focusing on the overall sample and specific subject-wise subgroups. Key objectives included determining the media literacy levels across the entire sample and within individual subject groups, assessing the percentage of student teachers with various media literacy levels, and examining differences in media literacy competencies among subject groups.A representative sample of teacher trainees from various graduate-level education programs participated, encompassing students from Commerce, English, Malayalam, Mathematics, Natural Science, Physical Science, and Social Science. Data was collected using the Media Literacy Scale and the findings revealed a high level of media literacy among all teacher trainees and across subject groups. Component-wise analysis also indicated high proficiency in areas such as source evaluation, media message analysis, understanding media ownership and control, digital literacy and privacy, media production, critical thinking and reflection, and media literacy in a social context. Among the subjects, Natural Science students scored the highest, while Physical Science students scored the lowest.The results suggest that teacher training programs effectively incorporate media literacy education, preparing future educators to engage critically with media. Ensuring uniformly high standards across all subjects will help in maintaining the effectiveness of media literacy education in teacher training programs.Overall, this study underscores the critical importance of media literacy in contemporary education and demonstrates that current teacher training programs are successfully equipping trainees with essential media literacy skills. Integrating media literacy into teacher education, providing ongoing professional development, and fostering collaborative learning environments are essential steps in preparing educators to navigate and teach in a media-rich world.
CNN-Based Terrain Mapping for Agriculture: Improving Land Use and Crop Management
1Deborah T. Joy, 2Priyanka Vashisht, 3Anvesha Katti,4Rajesh Kumar SalujaArtificial intelligence has been keeping up with the fast-pacing world of agricultural innovations both conceptually and theoretically.In the more recent developments in AI, it has been noticed that artificial intelligence is presently dealing mostly with the discovery and not the distance mapping process concerning viable resources, and so, with a stronger functional perspective, the authors have made attempts towards AI-based systems that could potentially augment the meticulousness of the AI developmental aspect where fallow land needs dealing.Given a vertical mapping of ground data with the help of satellite images, land use can be identified adding onto this a horizontal mapping using RGB frames stands to improve model performance to determine if a given area of land is feasible for agricultural development. The paper proposes a CNN model that can interpret and categorize agricultural area based on GIS data. The primary application of this research is to facilitate farm land use cases to improve productivity and land viability.
The Role of Artificial Intelligence in Enhancing Cyber Security in Digital Environments
Mrs. Pooja P R1, Dr. Shashidhar R2In the face of escalating cyber threats, the integration of Artificial Intelligence (AI) into cybersecurity frameworks has emerged as a crucial strategy for enhancing protection in digital environments. This paper examines the transformative role of AI technologies, including machine learning, natural language processing, and behavioral analytics, in strengthening cybersecurity measures. We identify critical areas where AI may greatly enhance threat detection, incident response, and overall system resilience through a thorough literature study and case studies of businesses that have effectively deployed AI-driven solutions. Our findings indicate that AI enhances the ability to predict and mitigate threats in real time, reducing response times and minimizing human error. Furthermore, the paper discusses the implications of AI adoption for organizational policies, workforce training, and ethical considerations in cybersecurity practices. By highlighting both the opportunities and challenges related with AI in cybersecurity, this research contributes to the ongoing discourse on securing digital infrastructures against increasingly sophisticated cyber threats.