Volume 13 | Issue 2 |

 Abstract

Ekatm manav darshan ke sandharbh mein Pandit Dindayal UpadhyayJi Ka Samajik Chintan

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Ekatm manav darshan ke sandharbh mein Pandit Dindayal UpadhyayJi Ka Samajik Chintan

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The study to Analyze how infrastructure development has India's economic growth from 1990 to 2024. India's infrastructure development since1990 has been remarkable driven by economic reforms and government initiatives. Despite notable Progress in boosting productivity, trade, and living standards addressing funding and environmental concern is crucial for sustainable growth. This study investigates the impact of infrastructure development on India's economic growth from analyzing investments 2024 transportation, energy and digital government initiatives and challenges sustainable for growth. Infrastructure development drives India's economic growth by enhancing Connectivity, productivity and trade. efficient transport, power and digital networks support Industrial expansion and attract investments Rural Infrastructure development boosts agricultural output, while sustainable projects like renewable energy and smart cities ensure long term growth, environmental sustainability, and improved living Standards Infrastructure development is a vital Catalyst for India's economic growth fostering connectivity productivity, and investment Opportunities. By the enhancing efficiency of industrial, agricultural and service sectors, it creates jobs, reduces regional disparities and Promotes inclusive growth. Despite progress, Challenges such as financing gaps and implementation delays need to be addressed. strategic and sustainable infrastructure investment is crucial for long-term economic growth, global competitiveness and improved living standards Strengthening infrastructure will Insure long-term stability and global competitiveness.

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Impact of Infrastructure Development, Connectivity, productivity, trade

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The current study was based on species composition and seasonal life expectancy of Anopheles species responsible for the transmission of malaria in and around urban area of Bikaner, Rajasthan. Research was done with four dominant species: Anopheles subpictus, Anopheles stephensi, Anopheles culicifacies and Anopheles annularis, where their life expectancy has been examined in the laboratory conditions in summer, monsoon and winter seasons. Results have shown huge disparities in life span in the presence of seasonal and sexual influences, and generally female mosquitoes had longer life expectancies. The findings emphasize the need for season-specific vector control measures, with intensified surveillance and intervention during monsoon and winter seasons due to higher Anopheles mosquito longevity, thereby increasing the risk and outbreak of malaria transmission. Integrated vector management strategies should consider these seasonal patterns to optimize control efforts in and around the urban area of Bikaner city, Rajasthan.

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Anopheles, malaria, species composition, life expectancy, vector, transmission.

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This paper explores the integration of Artificial Intelligence (AI) into the educational system through the development of a live dashboard that provides real-time insights into student performance. With AI's growing potential to personalize education and streamline administrative processes, this study focuses on leveraging machine learning models to predict student performance and present actionable data to educators, administrators, and students. The core system utilizes a Flask web framework combined with real-time data visualization via Plotly to monitor student scores, study habits, and course progress. The proposed system dynamically updates dashboards, offering graphical representations of key metrics such as academic scores, study hours, and overall performance. Furthermore, it integrates a machine learning model for predictive analytics, helping identify students at risk or forecast future performance trends. This system aims to foster data-driven decision-making in education, enhancing both teaching effectiveness and student outcomes. By providing stakeholders with real-time data and predictive insights, this project represents a step toward an AI-enhanced, personalized learning environment.

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Artificial Intelligence, Educational System, Machine Learning, Real-Time Dashboard, Data Visualization, Student Performance, Predictive Analytics, Flask, Plotly, Personalized Learning

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Derailments are the major reason obtained for railway accidents as many factors are responsible for the cause of accidents. Factors such as signal malfunctioning, over speeding of the railways lead to the derailment of the railway and result in the loss of mass destruction of railway property and lives.

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Derailment, Speed sensors, transmitter, receiver, signaling , loco-pilot.

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Reverse migration from Uttarakhand has emerged as a significant phenomenon, influencing both regional and national economies. This study examines its impact on India's economy, with a focus on Uttarakhand, where outmigration from rural, mountainous areas has long been driven by inadequate infrastructure, limited employment opportunities, and poor access to healthcare and education. The return of migrants, particularly during the COVID-19 pandemic, offers both challenges and opportunities for the state. Positive impacts include the revival of traditional agriculture, adoption of self-employment initiatives, and increased savings due to lower living costs. Additionally, government initiatives like interest-free loans and rural entrepreneurship schemes have further facilitated economic reintegration for returnees. However, persistent challenges such as fragmented landholdings, inadequate markets, and infrastructure gaps underscore the need for targeted interventions. This research underscores the potential of reverse migration to boost Uttarakhand's economy through sustainable rural development, leveraging local resources, and promoting tourism and agriculture-based industries. Policy recommendations focus on addressing systemic issues to turn reverse migration into a catalyst for inclusive growth. This paper shows Impact of Migration, Migration patterns of people from different districts of Uttarakhand, Reasons for Migration and Associated Ministries, Reasons of Reverse Migration-At the Time of COVID- 19 and after COVID- 19, Reasons for Reverse Migration and Associated Ministries, Impact of Reverse Migration on Uttarakhand's Economy, Impact of Government Schemes on Reverse Migration and Impact of Subsidies (Sector wise) and Beneficiaries for Migrants and Reverse Migrants in Uttarakhand (Region-Wise)

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Reverse Migration, Uttarakhand, Economic Impact, Rural Development, India's Economy

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In this paper, we perform an extensive evaluation of two recent state-of-the-art deepfake detectors: the Deep Convolutional Neural Network (D-CNN) and Frequency Convolutional Neural Network( fCNN). These models are supposed to counter the issue of deepfakes or adversarial attacks in technologically driven and fast pace media manipulations, especially image and video tampering. The fCNN to detect concealed deception artifacts that remained in frequency-domain features and D-CNN focused on the spatial feature extraction by convolution layer itself. Accuracy, efficiency and adversarial robustness: We evaluate both models with respect to these three factors. To make a groundwork for future enhancements in media forensics, this study presents an analysis of various models best suited to the goal and points out their pros and cons by justifying scalability, flexibility towards compressed media as well utilization that can further improvise resilience & reliability

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Deepfake detection, D-CNN, fCNN, frequency-domain analysis, adversarial robustness, real-time detection.

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The study explores the employee welfare in IT sector with reference of Coimbatore city. The goal of the current study is to determine the employee welfare policies that the IT industry has implemented. Anything done for workers' comfort and advancement above and beyond their pay which is not required by the industry is referred to as employee welfare. Enhancing and maintaining the happiness of employees is the fundamental goal of employee welfare. At least half of an employee's time is spent at work, getting there, or leaving. When they are relatively worry-free, they feel that they are contributing to the organization, and when they are having difficulties, they believe that they should receive assistance from the organization.

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welfare, wages, employee enhancement, organization, improvement.

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Beas and its tributary are one of the most heavily dammed and intervened rivers of Western Himalayas. Towns like Manali, Kullu and Mandi are encroaching into its river beds and on the other hand its riverbed is facing the threat of mining activities in Kullu, Mandi, Kangra. Floodplains and larger riverbeds of the river have been encroached. Ecology of the river is under threat and flow of the fishes to upstream and down-stream in the river has been stopped due to the construction of multiple dams. Water flowing out of the dam reservoir has increased the level of erosion of soil in the downstream regions. Many large sewerage treatment plants (STP) have been constructed and are functioning on the banks of the river. There has been constant leakage of sewage water directly into the rivers especially during the rainy season. Creation of dumping and garbage treatment plants near the river has also impacted the quality of the river water of Beas River. Time has come to redefine our fundamental understanding regarding the rivers. Rather than treating them as a non-living resource, we have to recognize their status as a living entity.

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Damaging River Ecology of Beas River of Himachal Pradesh

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