Daily Archives: July 1, 2026

Authors: Kamatam Munna Kiran, Associate Professor Dr. S. Solomon Raj

Abstract: The increasing demand for lightweight, safe, and fuel-efficient vehicles has driven structural optimisation of automotive body frames. A passenger vehicle body shell was designed in SolidWorks and analysed in ANSYS Workbench 2024 R1 under frontal and rear impact at 60, 80, and 100 km/h using five material configurations: ABS, structural steel, Carbon Fiber Reinforced Polymer (CFRP), Glass Fiber Reinforced Polymer (GFRP), and a hybrid CFRP+GFRP laminate. Performance metrics — total deformation, equivalent stress, equivalent strain, and factor of safety (FOS) were extracted for each scenario. Modal analysis extracted the first six natural frequencies and mode shapes. Results show CFRP achieves superior crashworthiness (FOS > 2.40 at all speeds) and highest natural frequencies (86.38–153.62 Hz), while the hybrid composite nearly replicates CFRP performance at reduced cost. ABS is structurally unsuitable and steel approaches failure at 100 km/h. The hybrid CFRP+GFRP laminate is the optimal lightweight alternative to conventional steel for passenger car body shell applications.

DOI: https://doi.org/10.5281/zenodo.21193036

Published by: vikaspatanker

Authors: Associate Professor Dr. Surender Singh

Abstract: Artificial Intelligence (AI) systems have become essential across industries, supporting decision-making, automation, healthcare, finance, and cybersecurity. However, the increasing complexity of AI pipelines introduces significant risks related to data integrity, model drift, security vulnerabilities, regulatory compliance, and operational failures. Embedding governance within AI pipelines provides a structured framework to ensure accountability, transparency, recoverability, and resilience. This paper examines governance mechanisms integrated throughout the AI lifecycle and demonstrates how embedding governance enhances system recovery while minimizing operational, ethical, and security risks. The study proposes a governance-driven AI pipeline architecture incorporating continuous monitoring, version control, audit trails, explainability, and automated rollback mechanisms. The findings indicate that governance significantly improves reliability, trustworthiness, and regulatory compliance while reducing downtime and model-related failures.

DOI: https://doi.org/10.5281/zenodo.21096755

Published by: vikaspatanker

Authors: Professor V.Abirami

Abstract: Calcium deficiency is a major but underrecognized nutritional concern among Indian women, particularly during the premenopausal transition. Emerging evidence indicates that bone mineral loss and biochemical deficiencies begin before menopause. This review synthesizes recent literature (2020–2025) on calcium intake, associated symptoms, and risk factors among Indian women aged 35–50 years. Available data suggest that a large proportion of women consume inadequate calcium, often compounded by widespread vitamin D deficiency. Clinical manifestations during premenopause are frequently subtle, including musculoskeletal discomfort, fatigue, and mood disturbances, contributing to underdiagnosis. Early screening and preventive interventions are critical to reduce long-term skeletal morbidity.

Published by: vikaspatanker