प्रस्तुत शोध लेख ग्रामीण बिहार में विद्यालय त्याग (Drop-out) की समस्या का सामाजिक-आर्थिक दृष्टिकोण से विस्तृत एवं आलोचनात्मक विश्लेषण करता है। अध्ययन का उद्देश्य यह समझना है कि किन सामाजिक-आर्थिक परिस्थितियों के कारण बच्चे प्रारंभिक या मध्य शैक्षिक स्तर पर ही विद्यालय छोड़ने के लिए विवश हो जाते हैं।

The 'One Nation One Election' (ONOE) proposal aims to restore simultaneous elections for the Lok Sabha and all state legislative assemblies in India, a practice that prevailed from 1951–52 until its disruption in the late 1960s due to premature dissolutions. Its core objectives include reducing exorbitant electoral expenditures, minimizing governance disruptions from frequent imposition of the Model Code of Conduct, enhancing policy continuity, and potentially boosting voter turnout through consolidated democratic exercises. Key constitutional mechanisms proposed in the Constitution (129th Amendment) Bill, 2024, and related legislation involve amendments to Articles 83 and 172 (governing the duration of Parliament and state legislatures), insertion of new provisions such as Article 82A (establishing an 'appointed date' for synchronized polls post-general election) and Article 324A (empowering the Election Commission to manage implementation, including contingencies for mid-term dissolutions or hung assemblies), alongside adjustments for union territories and phased alignment of local body elections. As of January 2026, the bills remain under detailed examination by the Joint Parliamentary Committee, whose tenure was extended in December 2025 amid ongoing consultations with stakeholders, reflecting continued parliamentary deliberation without final enactment. This article addresses the central research question: To what extent does the ONOE proposal reconcile administrative efficiency with the preservation of India's quasi-federal structure and vibrant democratic process? The fundamental tension lies in the promised gains—significant cost savings, reduced electoral fatigue, and sustained developmental focus—versus substantial risks to quasi-federalism (potential centralization and erosion of state autonomy) and electoral accountability (nationalization of regional issues, challenges in handling premature dissolutions, and implications for anti-defection mechanisms). While the ONOE proposal presents compelling administrative and economic efficiencies, it poses profound challenges to India's quasi-federal framework and the pluralism of its democratic process, requiring robust constitutional safeguards to avoid violating the basic structure doctrine.

Children with intellectual disabilities, historically marginalized in socio-cultural spaces, often face significant challenges in education, communication, and social participation. These barriers hinder their ability to engage with peers, access learning opportunities, and integrate into broader societal frameworks. Recent advancements in Artificial Intelligence (AI) have shown remarkable potential to address these challenges by offering personalized support systems that cater to the individual needs of these children.

The One District One Product (ODOP) scheme was introduced by the Government of Uttar Pradesh in 2018 as a strategic initiative to promote district-level specialization, strengthen micro, small and medium enterprises (MSMEs), and achieve balanced regional development. The plan is to identify and promote a single product in every district by utilisation of traditional skills, local material giving value-addition potential as well as existing industrial commitment.

The Green Revolution in West Bengal, reached its peak between the 1980s and early 1990s, converted the state from an underperforming agricultural area into an important producer of rice and food grains. The increase in agriculture, rice, and potato production was driven by High-Yielding Variety (HYV) seeds, enhanced irrigation, and subsidized farm inputs. The yearly growth rate of foodgrains increased from 1.7% in the 1970s to 3.4% in the 1980s, and subsequently to 4.6% in the early 1990s.

Intersectionality allows us to understand how layered oppressive experiences exist in real people, touching gender, class, religion, and politics. This paper closely looks at Arundhati Roy's fiction and nonfiction, with a particular emphasis on her two-bestselling works: The God of Small Things and The Ministry of Utmost Happiness. Roy's essays lay bare how structural inequities hit India's poor, weaving in her experiences with sharp political critique. She brings into view misogyny, caste prejudice, communal violence, and a government in overreach that keeps individuals at the margins.

Vegetation cover undergoes changes (expansion and contraction) over time, and contraction causes economic and environmental losses and damage. This study examines changes in vegetation cover and its classification from other cover types using the ArcGIS geographic information system and the adjusted vegetation variation index. Digital images captured by the American Landsat 7 satellite at different times in the years 2000, 2006, 2012, and 2018 were used.

Sustainable development has emerged as a central priority in India’s policy framework, particularly in alignment with the Sustainable Development Goals (SDGs), National Education Policy (NEP) 2020, and the vision of Viksit Bharat @2047. In this context, Environmental Accounting (EA) plays a crucial role in integrating environmental concerns into economic decision-making. The primary objective of this study is to examine how environmental accounting can function as a strategic tool to support sustainable development in India by promoting transparency, accountability, and responsible resource utilization.

The Image-Based Food Recognition and Volume Estimation Artificial Intelligence System is designed to automatically identify food items and estimate their physical and nutritional properties using computer vision and machine learning techniques. The system utilizes image processing methods such as feature extraction, image segmentation, and scale estimation to analyze food images. The Bag of Features (BoF) technique is used to extract visual features, and a Support Vector Machine (SVM) classifier is applied to recognize different food categories including apple, banana, pizza, roti, and rice. The system also estimates food volume using geometric modeling and scale calibration, which is further used to approximate weight and calorie content.

The Indian Information Technology (IT) sector plays a pivotal role in the country’s economic growth, contributing significantly to employment generation, export earnings, and digital transformation. In this context, effective financial management becomes essential, particularly in balancing liquidity and profitability, two critical yet often conflicting financial objectives. This study empirically examines the liquidity–profitability trade-off in selected Indian IT companies to understand how short-term financial stability influences long-term earning capacity.

The present study explores the role of Emotional Intelligence (EI) in academic achievement, social adjustment, and classroom behaviour among school students. In contemporary educational settings, cognitive ability alone is insufficient to explain students’ overall success, as emotional competencies significantly influence learning and behavioural outcomes. This study examines how components of emotional intelligence such as self-awareness, emotional regulation, motivation, empathy, and social skills contribute to students’ academic performance and their ability to adapt socially within the school environment.

Effective time management is widely recognized as a critical determinant of academic success in higher education. With increasing academic demands, digital distractions, and additional responsibilities such as part-time employment, students often struggle to allocate time efficiently. This study investigates the key psychological and environmental factors influencing effective time management among higher education students and examines its relationship with academic performance.

The paper will compare the perceptions of MOOCs (Massive Open Online Courses) across Indian higher education pupils and instructors. We examine convergence and divergence in MOOC effectiveness, benefits, and obstacles using survey results from 413 MOOC learners and 44 instructors. Quantitative data and thematic analysis show that learners and instructors like MOOCs for their flexibility and ability to develop skills, while instructors like them for their ability to reach more people and grow professionally.

Floating solar photovoltaic (FPV) systems have emerged as an innovative solution to address the limitations of conventional land-based solar installations while improving energy efficiency. An important problem of photovoltaic systems is the increase in panel temperature, which reduces electrical efficiency and power output. Water-based cooling assists the thermal management and operation of floating solar PV systems: a study Experimental and analytical methods are used to determine temperature differences, power generation, and efficiency in FPV systems using water-cooling models. Use of water to circulate across the rear surface of photovoltaic modules can help dissipate excess heat and keep operating temperatures lower. The cooled and non-cooled systems are compared through mathematical analysis and performance assessment.

In this study, machine learning and artificial intelligence algorithms were used Life for Better Results with Longer Duration to improve prediction accuracy and provide support for medical staff decisions. Three models that is Logistic Regression, Decision Trees and Neural Networks were built and tested with standard performance indices such as accuracy, F1- measure, precision-recall curves, ROC-AUC Logistic Regression consistently showed results of moderate performance that were understandable, while Decision Trees performed best in terms of accuracy and recall.