Volume 13 | Issue 12

 Abstract

This study examines user engagement patterns on Instagram and LinkedIn by analyzing secondary data from past campaigns and publicly available platform insights. It explores how different content formats, caption styles, hashtags, and posting behavior influence audience interaction across both platforms. Through descriptive analysis and social listening tools, the research identifies trends in engagement and highlights which digital strategies generate the strongest responses. The findings offer practical guidance for improving content performance and designing more effective social media campaigns.

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Index Terms - Component, formatting, style, styling, insert.

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Geopolymer concrete, Normal weight geopolymer, Mix design optimization, Geopolymer mortar

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Artificial Intelligence (AI) has emerged as a revolutionary tool in various industries, including the sugar industry of Bihar. With its ability to analyse large amounts of data, AI has proved to be a game-changer in enhancing processes and improving productivity. In this abstract, we will explore the role of AI in boosting industrial relations within the sugar industry of Bihar. One major challenge faced by the sugar industry is maintaining good relationships between management and workers. Due to complex regulations and volatile market conditions, disputes often arise between labour unions and management, leading to disruptions in production and financial losses. However, with advancements in AI technology, these issues can be effectively addressed.AI-powered tools such as chatbots have been implemented for real-time communication between employees and management. This has improved transparency and reduced misunderstandings between parties. Moreover, predictive algorithms have helped identify potential sources of conflicts before they escalate into larger problems. Furthermore, AI has also played a crucial role in workforce management. By analysing data on employee performance and workload patterns, companies are able to make informed decisions regarding job assignments and shift schedules without any bias or favoritism. In addition to enhancing industrial relations internally, AI has also greatly benefited external communications with stakeholders such as regulatory bodies and government agencies.

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Artificial Intelligence (AI), Digital Transformation, Sugar Industry, Industrial Relations, Productivity, Businesses and Competitive.

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The India-China border dispute remains one of Asia's most complex and enduring geopolitical conflicts, rooted in colonial-era cartographic ambiguity and compounded by strategic mistrust. This paper explores the historical trajectory of the conflict, focusing on the contested regions of Aksai Chin and Arunachal Pradesh, and key milestones such as the Panchsheel Agreement and the 1962 war. By examining both historical and contemporary triggers--including the Doklam standoff in 2017 and the Galwan Valley clash in 2020--the study investigates how territorial claims, national identity, and strategic infrastructure development have shaped the enduring rivalry. Using a qualitative methodology grounded in Realist and Constructivist theories of international relations, the analysis highlights the political, economic, and regional security consequences of the dispute. The findings reveal that while diplomatic engagements have prevented full-scale war, the unresolved Line of Actual Control continues to serve as a flashpoint with serious implications for Indo-Pacific stability.

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India-China conflict, Aksai Chin, Arunachal Pradesh, Sino-Indian War, Galwan, Doklam, Line of Actual Control, geopolitics, border dispute

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Enterprise Resource Planning (ERP) systems have become central to digital transformation initiatives across public sector organizations in India. While private enterprises adopted ERP relatively early, public utilities--particularly in the power sector--have been slower due to procedural, financial, and structural constraints. In Madhya Pradesh, power distribution and generation companies have begun implementing ERP to improve transparency, efficiency and decision-making. This review paper synthesises existing published research to understand how ERP adoption has influenced HR processes, organizational coordination, and digital work culture in these organizations. The review draws from peer-reviewed journal articles, reports, and studies available in the public domain, ensuring only authentic and verifiable sources are used. The analysis indicates that ERP implementation has supported better data accuracy, reduced duplication of work, increased transparency, and created opportunities for skill development among employees. However, challenges such as resistance to technology, training gaps, and adaptation delays remain consistent themes across studies. The results also indicate that change management and leadership commitment significantly influence adoption success. Based on the review, research gaps related to long-term performance outcomes, behavioural change analysis and employee digital readiness are identified. The study concludes that although progress is visible, ERP adoption in Madhya Pradesh's public power utilities is still evolving and requires continuous capacity-building efforts to fully realize its potential.

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ERP Systems, Digital Transformation, Public Utilities, Madhya Pradesh, HR Transformation, Power Sector, Technology Adoption

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Creative Commons Attribution 4.0 and The Open Definition

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The modern electrical grid demands high reliability, stability, and real-time monitoring to prevent failures that can lead to blackouts, equipme damage, and economic loss. This project presents an loT-based smart grid fault detecti 2/7 system that collects real-time parameters such as voltage, current, temperature, and humidity using the ESP32 microcontroller. These readings are continuously transmitted to a Flask-based web application, which integrates a machine learning model trained to distinguish normal and faulty grid conditions. The model analyzes live sensor data to identify anomalies such as voltage drops, current deviations, overheating, or environmental instability. The system provides instant visualization through a dashboard and generates alerts for preventive maintenance. This low-cost, scalable solution improves grid safety, enhances predictive fault identification, and supports real-time decision-making in smart power networks. Keywords: Smart Grid, loT, ESP32, Machine Learning, Fault Detection, Anomaly Detection, Flask, Power Monitoring.

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Fault deduction, power system, power grid, cyber security,

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This study examines the effectiveness of inclusive education practices in supporting the academic and social development of primary school children with diverse learning needs. The research explores how differentiated instruction, teacher preparedness, classroom adaptations, and peer-support strategies influence the learning outcomes of students with disabilities in mainstream classrooms. Using a mixed-methods approach--including classroom observations, teacher interviews, and student performance data--the study identifies key factors that promote successful inclusion. Findings reveal that consistent teacher training, individualized learning plans, and collaborative learning environments significantly enhance student engagement and confidence. The study concludes that an integrated, well-supported inclusive model not only benefits children with special needs but also contributes positively to the overall classroom climate and peer relationships. Recommendations include strengthening teacher professional development, increasing access to assistive technologies, and implementing school-wide inclusion policies to ensure equitable learning opportunities for all students.

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We want to promote Inclusive and Special Education in India

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Activity-Based Learning (ABL) is a child-centred, experiential learning approach promoted strongly by NEP-2020, NCF-2005/2023, NIPUN Bharat Mission, and the RTE Act-2009. This study investigates the effect of ABL on Class III students of Bauripara Papurdihi Primary School, Bankura. Thirty-two students participated in structured ABL tasks such as math manipulatives, storytelling, picture-word matching, and EVS sorting activities. Pre-test and post-test assessments, observation checklists, and engagement scales were used. Results revealed a 58% improvement in concept recall, 46% increase in engagement, and remarkable benefits for weak learners (92% progress). ABL significantly improved conceptual clarity, communication, confidence, and inclusiveness. The study concludes that ABL should be integrated into everyday teaching as recommended by national policies.

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Activity-Based Learning, Experiential Learning, Primary Education, NEP 2020, NIPUN Bharat, Student Engagement, Foundational Literacy and Numeracy, Inclusive Education, Collaborative Learning, Rural Schools.

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India's Quick Service Restaurant (QSR) industry has emerged as one of the fastest-growing segments within the broader consumer discretionary sector, supported by rising incomes, urbanization, favorable demographics and a structural shift toward convenience-led dining. Despite healthy long-term growth, the sector faces cyclical pressures due to subdued discretionary spending and persistent food inflation. This paper examines the strategic positioning, operational performance and cross-market dynamics of Sapphire Foods India Ltd --a major franchisee for KFC, Pizza Hut and Taco Bell in India and Sri Lanka--to evaluate whether its equity valuation accurately reflects fundamental growth prospects and macroeconomic risks. Using a hybrid methodology combining industry analysis, financial ratio assessment the study finds that KFC remains the company's core growth engine, supported by strong category leadership and efficient store-format optimization. Pizza Hut India, while currently lagging its primary competitor, is benefitting from strategic repositioning toward value-led, dine-in-centric offerings. The paper also highlights Sri Lanka as a significant contributor to revenue diversification, where the company enjoys market leadership but remains exposed to currency volatility and uneven demand recovery. Overall, the analysis suggests that while long-term structural drivers support a favourable growth trajectory, near-term valuation multiples embed execution risks and consumption uncertainties. The findings contribute to literature on QSR strategy and emerging-market consumer behaviour and offer implications for investors, policymakers and multinational franchise operators.

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Keywords: Quick Service Restaurants, Sapphire Foods India, Devyani International, QSR strategy, Franchising model, Sri Lanka QSR market, Emerging markets

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Cast partial dentures (CPDs) remain a vital treatment modality for restoring function and aesthetics in elderly patients with partial edentulism, especially when fixed or implant-supported options are contraindicated. However, geriatric-specific challenges such as ridge resorption, xerostomia, reduced tissue resilience, and limited dexterity often compromise prosthesis performance and longevity. This review highlights common problems encountered with CPDs in elderly patients including mechanical failures, biological complications, and functional limitations and explores their multifactorial etiologies. Emphasis is placed on pre-emptive clinical measures, precise laboratory interventions, and patient education as essential strategies for troubleshooting and long-term success. Regular follow-up, timely relining, and simplified design modifications enhance comfort, stability, and hygiene maintenance. Future directions involving digital impressions, CAD/CAM fabrication, and advanced materials are poised to revolutionize CPD design and adaptability, improving clinical outcomes and patient satisfaction in geriatric prosthodontics.

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Cast partial denture, Geriatric prosthodontics, Troubleshooting, Retention, Digital dentistry

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Creative Commons Attribution 4.0 and The Open Definition

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21vi sadi ka Bharat: Bharatiya sanvidhan aur saman nagrik sanhita mein vividta aur samanta ka santulan

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21vi sadi ka Bharat: Bharatiya sanvidhan aur saman nagrik sanhita mein vividta aur samanta ka santulan

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Creative Commons Attribution 4.0 and The Open Definition

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Ion-Solid Collision, highly charged ions, X-ray Spectroscopy, charge state distribution, Electron capture.

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Creative Commons Attribution 4.0 and The Open Definition

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The post-pandemic era has irrevocably altered the landscape of work, with remote and hybrid models becoming a staple rather than a temporary fix. This article presents a case study of Sinara Global Ltd., a Hyderabad-based consultancy, exploring how these flexible work models are reshaping recruitment strategy. Through employee survey data and industry analysis, the study reveals that flexibility is now a powerful tool for attracting talent, boosting productivity, and expanding the talent pool, while also introducing new challenges in management and culture. The findings provide a strategic roadmap for organizations aiming to future-proof their talent acquisition.

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The New Recruitment Playbook: Leveraging Remote and Hybrid Work to Win the Talent War

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Food preservatives, which are substances we put to food to prevent deteriorating, are very important. They extend food's shelf life, make it safer to consume, and enable its transportation throughout the globe without spoiling. There is a catch, though. A growing body of research indicates that certain artificial preservatives may have unexpected negative effects on our health. We are discussing issues with gut flora, cancer risks, allergic reactions, DNA damage, and even metabolic diseases. Recent studies on preservatives' mechanisms of action, their uses, associated hazards, and future developments--such as natural substitutes--are compiled in this overview. The lesson learned? Stronger risk assessments, more stringent laws, and safer, more intelligent methods of preserving food are all necessary.

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A REVIEW ON EFFECT OF FOOD PRESERVATIVES IN PICKLES

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This paper compares three major cloud platforms--AWS, Azure, and GCP--to evaluate their scalability, performance, and cost-effectiveness. The study highlights the strengths and limitations of each platform, helping organizations choose the most suitable cloud solution for their needs.

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Cloud Computing, AWS, Azure, GCP, Scalability, Cost Analysis, Performance Benchmarking, Security Compliance, Machine Learning, Total Cost of Ownership, Hybrid Cloud, Enterprise Infrastructure.

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Lactobacillus acidophilus is one of the most extensively studied species of lactic acid bacteria (LAB), recognized for its probiotic properties and health-promoting effects. It is a Gram-positive, non-spore-forming, homofermentative bacterium that naturally inhabits the human gastrointestinal tract, oral cavity, and vagina. Due to its acid tolerance and ability to produce lactic acid, L. acidophilus plays a vital role in maintaining microbial balance, inhibiting pathogens, and enhancing host immunity. This review provides a detailed overview of its taxonomy, morphology, physiology, genome structure, mechanisms of probiotic action, and applications in food, pharmaceutical, and biotechnology sectors. Additionally, current challenges and future research perspectives are discussed.

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A Review on Lactobacillus acidophilus

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This research presents the development of a discrete-event simulation model for a parking lot system using the SimPy library in Python. A synthetic dataset of 350 cars was generated to represent realistic parking behavior, including arrival times, waiting durations, parking durations, slot availability, and vehicle departure outcomes. The simulation aims to analyze parking lot performance under varying congestion condi tions, measure queueing delays, and evaluate resource utilization. In addition to simu lation, a Machine Learning (ML) classifier was trained to predict vehicle exit behavior. Results demonstrate that both the simulation and ML model provide meaningful in sights into optimizing parking system operations.

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Parking Lot Simulation using SimPy with a 350-Car Dataset

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This is an article prepared in Malayalam language. This study investigates the effects of delays in implementing the national census on the Anglo-Indian community, a minority group with unique cultural and social characteristics. It examines how postponements impact demographic representation, resource allocation, and policy recognition for this community. Through qualitative and quantitative analysis, the research highlights the challenges faced by Anglo-Indians due to undercounting and outdated data, which affect their socio-economic development and political visibility. The study underscores the importance of timely census operations to ensure accurate community profiling and equitable inclusion in national planning.

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Census, Anglo Indian Community, Race Identity Crisis, Job

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Candida auris is a newly recognized yeast pathogen that was first identified in 2009 in Japan. Since then, it has spread globally and is now a cause of serious infections, particularly in healthcare settings. These infections often lead to high death rates and pose challenges due to antifungal resistance. The yeast can survive in the environment, colonize patients, and avoid standard identification methods, making detection and control difficult. This review compiles current information on the epidemiology, microbiology, pathogenesis, diagnostics, and mechanisms of antifungal susceptibility and resistance of C. auris. It also looks at strategies for preventing and controlling infections. The discussion points out significant gaps in knowledge and urges improvements in surveillance, diagnostics, new treatments, and stricter infection control measures. In conclusion, C. auris is a major emerging fungal threat with many unresolved issues that need immediate attention.

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A REVIEW ON CANDIDA AURIS

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