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Assessing the Knowledge and Skills Regarding Partograph Among Nursing Students

The partograph is a critical tool for monitoring labor progress and ensuring maternal and fetal well-being. However, nursing students often face challenges in effectively understanding and utilizing it, influencing labor management outcomes. This cross-sectional descriptive study assessed the knowledge and skill levels regarding partograph use among 125 final-year DGNM and BSc Nursing students in a Chennai college. Data collection involved a 35-item questionnaire for knowledge and case-based scenarios for skill evaluation. Results showed that 66% of students had inadequate knowledge, 33% had moderately adequate knowledge, and only 1% demonstrated sufficient knowledge. Similarly, 67% had inadequate skills, 23% had moderately adequate skills, and 10% demonstrated adequate skills. Significant associations were found between knowledge and skills with demographic variables such as age and educational qualifications (p<0.05), while no significant associations were observed for other variables like religion and participation in in-service education programs. The findings highlight the need for simulation-based training and increased clinical exposure to enhance nursing students' competency in partograph use.

Published by: Blessy Little Christy P

Author: Blessy Little Christy P

Paper ID: V10I6-1386

Paper Status: published

Published: December 9, 2024

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Review Paper

Literature Review on Exoplanets and Detection Techniques

The discovery of exoplanets since 1995 has revolutionized our understanding of planetary systems. This paper reviews major detection techniques such as radial velocity, transit photometry, direct imaging, gravitational microlensing, astrometry, and pulsar timing, focusing on their strengths, limitations, and findings. It also highlights significant missions like Kepler, TESS, Gaia, and future contributions of the JWST. A literature synthesis reveals the critical role of interdisciplinary approaches and advancing technology in the search for habitable exoplanets and extraterrestrial life.

Published by: Anusha S

Author: Anusha S

Paper ID: V10I6-1385

Paper Status: published

Published: December 8, 2024

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Review Paper

Artificial Intelligence in Finance: Transforming Decision-Making, Risk Management, and Economic Dynamics

Artificial intelligence (AI) is revolutionizing the finance sector by enhancing decision-making, risk management, and operational efficiency. This paper explores AI's role in finance, its evolution, applications, and economic impacts, highlighting key techniques such as machine learning and deep learning. AI’s ability to process large datasets and detect patterns offers financial institutions opportunities to optimize performance and mitigate risks. However, AI also presents challenges such as labor displacement and regulatory concerns. This study examines AI's techniques, benefits, and implications while considering the macro and microeconomic effects of AI. The paper also emphasizes the need for adaptive public policies to promote equitable growth

Published by: Sindhushree. KR, Chithra. R, Kavya. L, Mangala. M, Pooja. M

Author: Sindhushree. KR

Paper ID: V10I5-1280

Paper Status: published

Published: December 7, 2024

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Research Paper

A Comprehensive Analysis of B2B Marketing Strategies

Business-to-business (B2B) marketing is an essential segment of modern commerce, where businesses market their products or services to other organizations rather than directly to individual consumers. B2B marketing strategies are nuanced and significantly differ from Business-to-Consumer (B2C) approaches. This research article aims to explore B2B marketing strategies, their unique characteristics, channels, challenges, and the metrics used to assess success. With a focus on digital transformation, relationship-building, and content creation, this study highlights the evolution of B2B marketing in the digital era. Additionally, it discusses how businesses can create personalized and value-driven strategies to improve customer engagement and foster long-term relationships.

Published by: Aakash V

Author: Aakash V

Paper ID: V10I6-1381

Paper Status: published

Published: December 7, 2024

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Review Paper

Smart EV Charging Station with Grid Green Power and Wireless Charging

The demand for green charging has increased with the rapid growth of electric vehicles (EVs). This paper reviews a smart EV charging station integrating solar and wind power with on-grid electricity to support multiple charging modes: DC fast charging, AC charging, wireless charging, and grid-powered AC charging. An RFID-based system secures access to wireless charging, enhancing usability. This review looks into the design, benefits, and challenges of integrating renewable energy into EV charging, highlighting the system's potential for environmental and operation advantages in sustainable infrastructures.

Published by: Vivek Makane, Aditi Prashant Ozardekar, Varsha V. Nanavare

Author: Vivek Makane

Paper ID: V10I6-1378

Paper Status: published

Published: December 7, 2024

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Research Paper

AI-Driven Portfolio Optimization: Enhancing Investment Strategies Using Machine Learning

With the evolution of complexity in today’s markets and investment opportunities, traditional methods of appropriate multi-asset portfolio optimization have become insufficient, exposing the funds to overly large levels of risk. This paper addresses the question of how decision-making and investment strategies involving portfolios are assisted by artificial intelligence (AI) and, in particular, machine learning (ML). Everything, including processes such as supervised learning, unsupervised learning, and reinforcement learning, is studied in the context of critical tasks within portfolio management such as investment, risk, and trading strategies. A portfolio processed using AI reported an increase of 12% in predictive accuracy and a decrease of 20% in computation time for backtesting simulations. This was mainly due to well-developed noise filtering features that enable the model to operate in unstable market conditions. Even the key results show that in terms of risk-adjusted performance and managing uncertainty in the market, AI-based models are far better than traditional approaches. In addition, this research draws attention to emerging data sources and ethical AI, AI-based models and practices that further increase transparency, and AI methods associated with ethical concerns and data biases. These results demonstrate how something like AI stands to completely revolutionize the concept of investment and the strategies that accompany it, bringing about a form of change that is very much needed in today’s financial system.

Published by: Mariam Karanjia

Author: Mariam Karanjia

Paper ID: V10I6-1379

Paper Status: published

Published: December 6, 2024

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