The integration of Digital Twins (DT) and Artificial Intelligence (AI) has significantly advanced predictive maintenance (PdM) in cyber-physical systems. However, existing frameworks primarily function as passive diagnostic tools, relying heavily on black-box machine learning models that often generate high false-positive rates due to a lack of physical domain knowledge. This paper introduces a novel Neuro-Symbolic Digital Twin with Deep Reinforcement Learning Control (NSDT-DRL) framework.

Local development initiatives are critical for improving infrastructure, health, education, and livelihoods in districts across India. The effectiveness of these programs depends not only on policy design and implementation but also on public perception and participation. This study examines the public perception and effectiveness of local development initiatives in Hooghly District, West Bengal, focusing on citizen engagement, satisfaction with services, and perceived impact on quality of life. Using a community-based survey of 500 households across urban and rural blocks, structured questionnaires and interviews were conducted to capture opinions on health schemes, education programs, sanitation, road infrastructure, and social welfare initiatives. Quantitative data were analyzed using descriptive statistics, cross-tabulation, and correlation analysis.