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A Study to Assess the Knowledge and Attitude Regarding Integration of Artificial Intelligence in B.Sc Nursing Curriculum among 4th Year Students of B.Sc Nursing in Selected Colleges of Nursing in the City

To assess the knowledge regarding the integration of artificial intelligence in the nursing curriculum.To assess the attitude regarding the integration of artificial intelligence in the nursing curriculum.To correlate the level of knowledge and attitude regarding the integration of artificial intelligence in the nursing curriculum. Result: the level of Knowledge among 4th year B.Sc. Nursingstudents’’ majority of the samples 50(50%) moderate knowledge, 44(44%) hava Inadequate knowledge, and 6(6%) have Adequate knowledge. the level of attitude among 4th year B.Sc. The majority of the nursing students ' samples, 86(86%) Positive attitudes, and 14(14%) have negative attitudes. There were 100 compressions between Comparisons between the Level of Knowledge and Attitude Regarding the Integration of AI in Nursing Curriculum. Each of them had answered 30 questions and an attitude scale. They assessed the knowledge and attitude regarding the integration of AI in the nursing curriculum among 4th year B.Sc students of B.Sc nursing, and correct answers were recorded as mean and standard deviation of the level of Knowledge and attitude. The paired t-test was applied to compare the difference between the Level of Knowledge and Attitude Regarding the Integration of AI Into Nursing Curriculum. It was found that the Level of Knowledge and Attitude Regarding the Integration of AI in the Nursing Curriculum, the paired’ test value was 23.350* at the level of P 0.05. Since the P value is less than 0.05 (P value = 0.0001) difference in scores is statistically significant. The researcher concludes at a 5% level of significance and 198 degrees of freedom that the above data gives sufficient evidence to conclude that Comparison between Knowledge and Attitude Regarding Integration of AI In Nursing Curriculum, hence rejects the null hypothesis the research hypothesis.

Published by: Anamika Satyaprem Bobade, Bidyarani Yumnam

Author: Anamika Satyaprem Bobade

Paper ID: V11I4-1140

Paper Status: published

Published: July 5, 2025

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Review Paper

Myocardial Infarction with Non-Obstructive Coronary Artery (Minoca): A Systematic Review

Myocardial infarction with nonobstructive coronary arteries (MINOCA), which is characterized by clinical evidence of myocardial infarction (MI) with normal or near-normal coronary arteries on angiography (stenosis 50%), continues to be a perplexing clinical entity. Recent years have seen significant progress in our understanding of this illness. It is being researched and further analyzed because the precise pathophysiology is unclear. Recommendations state that MINOCA is a group of different illnesses with a range of pathological underlying causes. Given the variety of possible pathogenic reasons, it is unclear if the conventional secondary prevention and treatment strategy for MI with obstructive coronary artery disease (MI-CAD) is the best choice for those with MINOCA. There are currently no recognized predictors or prognoses for MINOCA patients. There are currently no documented vaticinations or predictors for MINOCA cases. According to guidelines, MINOCA is a collection of many illnesses with distinct pathogenic processes. Since there are multiple possible pathological mechanisms, it isn't certain that the classical secondary forestallment and treatment strategy for MI with obstructive coronary artery complaint (MI-CAD) is optimal for MINOCA cases. Uncertainty surrounds the prognosis and predictors for the MINOCA case. Although the prognosis is slightly better for MINOCA cases than for MI-CAD cases, MINOCA is not always benign.

Published by: Richa Sinha, Manroop Kaur Bajwa

Author: Richa Sinha

Paper ID: V11I4-1138

Paper Status: published

Published: July 5, 2025

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Thesis

A Study to Assess the Knowledge and Attitude Regarding Palliative Care among Oncology Nurses at Selected Hospitals in the City.

Palliative care improves the quality of life of patients and that of their families who are facing challenges associated with life-threatening illness, whether physical, psychological, social, or spiritual. The quality of life of caregivers improves as well. Each year, an estimated 56.8 million people, including 25.7 million in the last year of life, need palliative care.Worldwide, only about 14% of people who need palliative care currently receive it.Unnecessarily restrictive regulations for morphine and other essential controlled palliative medicines deny access to adequate palliative care. Adequate national policies, programmes, resources, and training on palliative care among health professionals are urgently needed to improve access .“A study to assess the knowledge and attitude regarding palliative care among oncology nurses at selected hospitals in the city”.Non-probability Convenient sampling technique was used and the sample size was 60 nurses, the majority of the samples, 9(15%) had having inadequate level of knowledge, where as 23(38%) had moderate knowledge and 28(46.6%) had having adequate knowledge level on PC. Attitude shows majority of the samples, 23(38%) Positive attitude, and 37(62%) have a Negative attitude. Association between Knowledge regarding PC With Selected Demographic Variables. In order to compute the association between the level of knowledge score and demographic variables, chi-square was applied, and the value was observed at 5% significance level. Variables are found statistically significant association with the knowledge score about PC selected demographic variables. association between levels of attitude score on PC with selected demographic variables. In order to compute the association between the level of attitude score and demographic variables, chi-square was applied, and the value was observed at a 0.05 significance level. The chi-square value of the demographic variables, such as education was χ = 13.296 with a 3 degree of freedom and year of experience χ = 7.118 with a 3 degree of freedom showed significant association with level of attitude at 0.05 level, and there were no other demographic variables found association with level of attitude on PC

Published by: Alishiba Bhosale, Anamika Satyaprem Bobade

Author: Alishiba Bhosale

Paper ID: V11I3-1402

Paper Status: published

Published: July 2, 2025

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Research Paper

Time Series Forecasting through Hybrid ARIMA-ANN Modelling for Rice in Odisha

Rice, being the staple food grain of Odisha, holds a crucial place in the state’s economy and food security. Rice holds around 69% of the total cultivable area in Odisha, making it crucial to have an accurate forecast of its status for stakeholders in agriculture. Modelling and forecasting of time series dataset of yield and production of rice from 1970-71 to 2019-20 is carried out in this study, using Auto Regressive integrated Moving Average (ARIMA), Artificial Neural Network (ANN) and Hybrid ARIMA-ANN methodologies. ARIMA is a linear modelling approach where whereas ANN is more of a non-linear modelling technique. The hybrid ARIMA-ANN methodology integrates the strengths of both models to effectively capture both linear and non-linear patterns within the dataset under study. It was found that ARIMA(1,1,1) with constant and under the developed ANN models, the Neural Network Autoregression(NNAR) of order NNAR(3,2) came out to be the best fitted model for both of the variables under study. ARIMA(1,1,1)-NNAR(1,1) is found to be suitable for both yield and production of rice in Odisha. All three models are compared using accuracy measures like RMSE and MAPE, and the hybrid methodology is found to be superior to others.

Published by: Madhu Chhanda Kishan

Author: Madhu Chhanda Kishan

Paper ID: V11I3-1404

Paper Status: published

Published: July 2, 2025

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Research Paper

Analysing Recursive Artificial Intelligence: A Multidomain Case-Based Study of Risks, Concerns, and Oversight Mechanisms

Recursive Artificial Intelligence (AI), where systems can design, optimize, or evolve other AI systems, represents a significant turning point in the development of autonomous technologies. As recursive mechanisms become increasingly integrated into machine learning workflows, the potential for rapid innovation also comes with substantial technical and ethical risks. This paper critically examines the development and use of recursive AI systems through real-world examples and theoretical insights. It highlights key challenges, including model collapse, error amplification, alignment drift, recursive deception, and the loss of human interpretability and oversight. By examining explainability tools such as LIME and SHAP, case studies like AlphaGo, and potential paths into cognitive and multi-agent recursion, the work highlights the urgent need for responsible research and regulation. The paper aims to reveal overlooked dangers and spark discussion about the fragility, unpredictability, and governance challenges in recursively self-improving AI systems.

Published by: Henil Diwan, Debopam Bera

Author: Henil Diwan

Paper ID: V11I3-1400

Paper Status: published

Published: July 1, 2025

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Research Paper

Impacts Economiques D’Exploitations Non-Certifiees D’Ail/Oignon Sur Des Agriculteurs De La Region Sofia

For several decades, farmers in the Sofia region of Madagascar have cultivated garlic (Allium sativum) and onion (Allium cepa) using traditional, uncertified organic methods. This study investigates the economic impact of such non-certified agricultural practices on rural household livelihoods. The research was conducted in four communes: Ambatosia and Ambodiampana (Bealanana District), as well as Bekoratsaka and Mampikony II (Mampikony District), all known for their high concentration of non-certified organic farmers. Data was collected through semi-structured interviews with 100 producers and analyzed using correlation and linear regression methods. Findings reveal a positive relationship between the cultivation of uncertified organic garlic/onion and increases in annual household agricultural income. Thanks to low input costs, ancestral techniques, and stable local demand, these farmers often exceed the national poverty line. Approximately 42 to 44% of the surveyed households live above this threshold, despite lacking official organic certification. However, disparities remain based on market access, technical skills, and yield consistency. While uncertified organic farming offers a promising path for rural income improvement and poverty alleviation, it remains fragile in the absence of structured value chains, supportive public policies, and stable market integration. This research highlights the socio-economic viability of alternative agricultural systems, while underlining their limits in terms of long-term resilience and financial security.

Published by: Mme Razafindrakoto Andriamanalina Notsimbinina, Dr. Solofoson Georges, Dr. Maminindriana Razafindrakoto Andriamanalina Miorintsoa

Author: Mme Razafindrakoto Andriamanalina Notsimbinina

Paper ID: V11I3-1388

Paper Status: published

Published: June 27, 2025

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