Daily Archives: January 21, 2026

Authors: Dr. Rajeshwar Prasad

Abstract: Total Factor Productivity (TFP) is a fundamental driver of long-term economic growth, capturing efficiency gains beyond labor and capital accumulation. In recent years, Artificial Intelligence (AI) has emerged as a general-purpose technology capable of transforming production processes, decision-making systems, and innovation dynamics across economies. This paper examines the role of AI in enhancing TFP using a conceptual-analytical framework supported by empirical evidence from India and OECD economies. The study analyzes sectoral impacts of AI across manufacturing, agriculture, services, and the public sector, and presents productivity indicators derived from national and international sources. The findings indicate a positive association between AI adoption and productivity growth, conditional on complementary investments in human capital, digital infrastructure, and institutional quality. The paper concludes with policy implications for developing economies, emphasizing inclusive and sustainable AI-driven productivity growth.

DOI: https://doi.org/10.5281/zenodo.18326462

 

Published by: vikaspatanker

Authors: Aarti Bhowal, Sanskruti Deshmukh, Raj Darade, Dhruv Dhage, Prof.Ananta Walekar

Abstract: Three-phase power systems are widely used in industrial and commercial applications due to their efficiency and reliability. However, failures such as phase loss, voltage imbalance, and phase interruption can cause serious damage to electrical equipment. This paper presents the design and implementation of a Three Phase Failure Detector using an Arduino Nano. The system continuously monitors the voltage of each phase using voltage sensor modules. When a fault condition is detected, the system provides visual and audible alerts using an OLED display, LED indicators, and an active buzzer. The proposed system is compact, low- cost, and suitable for real-time monitoring applications.

Published by: vikaspatanker

Authors: Salla Arun Tejadhar Reddy, Prashant S. Lanjewar

Abstract: Textile reinforced concrete (TRC) is a relatively new and innovative composite material developed to provide improved performance characteristics when used in the repair and retrofitting of reinforced concrete (RC) beams. TRC offers superior tensile and flexural strength compared to traditional RC materials and has been widely used in civil engineering projects for repair and strengthening applications. The paper provides an experimental investigation into the performance of TRC when used in the repair and strengthening of RC beams.

Published by: vikaspatanker

Authors: R.S. Singaravel, R.S. Jothirajan

Abstract: This article focuses on how AI enabled systems can adapt to context in instructional approaches and school learning. And also it emphasizes AI enabled systems fools, models, etc., Recommendations in this paper seek to engage teachers educational leaders, Policy makers, researchers and educational technology innovators and providers as they work together on pressing policy issues that arise as Artificial Intelligence(AI) is used in education Examples of AI supporting learning principles in this section include the following: AI based tutoring for students as they solve math problems, adapting to Learners with special need. Formative assessment is traditionally a key use of edtech because feedback loops are vital to improving teaching and learning. As seen in voice assistants mapping tools and other familiar applications AI may enhance educational services. In summary, it is imperative to address the role of AI in education now in order to realize key opportunities, prevent and mitigate emerging risks, and manage unintended consequences.

 

Published by: vikaspatanker