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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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Research Paper

Optimization of Battery Thermal Management System using Fin Spacing and Fin Count Parameters in Electric Vehicles

Efficient battery thermal management is pivotal for ensuring the safety, performance, and extended lifespan of electric vehicle (EV) batteries. This study presents a comprehensive Computational Fluid Dynamics (CFD)-based analysis on the influence of fin geometry, spacing, and quantity on heat dissipation efficiency. Thermal simulations were conducted using ANSYS Fluent, allowing evaluation of radiator models under varied fin geometries and boundary conditions to observe temperature uniformity and heat removal performance. Emphasis was placed on comparing different fin shapes (square, circular, curved), spacings (5 mm to 12.5 mm), and fin counts. Results indicate that 7.5 mm spacing provides optimal thermal efficiency regardless of geometry, and increasing fin number beyond a threshold yields diminishing returns. Copper showed superior thermal performance over aluminum, though cost and weight favoured aluminum. The findings provide practical insights into radiator fin optimization for advanced BTMS design.

Published by: Abhishek Guleria

Author: Abhishek Guleria

Paper ID: V11I3-1390

Paper Status: published

Published: June 27, 2025

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Research Paper

The Evolution of Feminism in Art

This paper focuses on the evolution of feminism in art, from the exaggeration of female features and the objectification and sexualization of women, to the recognition of female artists and an increase in the representation of holistic female figures. The role and portrayal of women in art are ever-evolving. Initially, women were depicted as hypersexualized versions of themselves; objects of desire, particularly for the male gaze. Despite this being the norm in the art industry at the time, some female artists like Artemisia Gentileschi, Mary Cassatt, and Berthe Morisot were key figures in portraying women as human beings with ambitions, beyond merely being objects of desire. This paper discusses the importance of the emergence of female artists like Georgia O’Keeffe, Lavinia Fontana, and the Guerrilla Girls in changing the depiction of women in art. It also explores intersectionality within the artistic landscape and how art has been used as a medium of activism to overcome these inequalities. Finally, the paper highlights the evolving portrayal of the male gaze and female rage in art over the years–by both male and female artists.

Published by: Meera Gera

Author: Meera Gera

Paper ID: V11I3-1368

Paper Status: published

Published: June 19, 2025

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