https://puirp.com/index.php/research/issue/feedPartners Universal Innovative Research Publication2025-12-27T06:53:05+00:00Editorpu@gmail.comOpen Journal Systemshttps://puirp.com/index.php/research/article/view/144Data Centers and Water Crisis in India: Why Digital Infrastructure Could Drain Our Wells Dry by 20302025-12-27T06:37:29+00:00Dr. A. Shaji Georgeeditor@puirp.com<p>India faces a pivotal moment. Its ambition to establish digital sovereignty goes against the environment protection requirement. India is demonstrating its desire to control its digital backbone as expressed by large data-centre projects announced by Reliance in Jamnagar, and by Adani, a 10-billiondollar investment in multiple states. However, these centers consume vast quantities of water, which may exacerbate the water scarcity in India that is already severe. An example 100-megawatt data centre requires approximately 2m³ of water daily to cool it, which is equivalent to approximately 6,500 households. Currently, India operates 270 data centers whereas it generates 20 or more percentage of the global data, thus, expansion will occur. This paper examines the water consumption of data centers, lessons learned by cities in the United States that have established data centers and gone through water wars and evaluates the potential risks of India because of the water shortages in the largest metropolitan areas. It has seven viable plans namely require alternative water supply, site selection, promote renewable energy, support innovative technology, mandate transparency, establish community benefits agreements, and implement the project in phases. The main idea is that creating a sustainable digital infrastructure must not restrict the growth it must provide India with an advantage as a pioneer of environmentally sustainable digital sovereignty.</p>2025-12-25T00:00:00+00:00Copyright (c) 2025 https://puirp.com/index.php/research/article/view/145India's Pilot Shortage and Aviation Market Growth: A Critical Analysis2025-12-27T06:40:51+00:00Dr. A. Shaji Georgeeditor@puirp.com<p>Aviation industry in India is experiencing a paradox that has a potential of derailing its grand expansion strategies. The country has ordered 1,700 new aircraft, one of the biggest commercial air expansions in the history, but its expansion is threatened by a serious lack of pilots. The recent IndiGo crisis that left over 4,600 flights cancelled exposed critical weaknesses that are not limited to collapse of one airline. This paper examines three major issues related to the aviation labor issue in India the current crisis and the regulating action, the underlying factors that contributed to the pilot shortage, and significant actions that should be taken going forward to re-align ambition and capacity. It has been analysed that even with the 1.4billion population, the high training expenditure (70-90 lakhs rupees), the ruthless recruitment method used by international airlines, and regulation choke points have resulted in a perfect storm. The 13,000 employed pilots only 8,000 are in the air, with the projections indicating that 25,000- 30,000 pilots will be required to serve the planned fleet increase. This labour shortage endangers economic linkage, tourism development and competitiveness on the global front. The article suggests new financial models, retention policies, regulatory changes and diversification of pipelines as the way to go providing frameworks that can be extended to other high-growth industries dealing with specialised workforce limitations.</p>2025-12-25T00:00:00+00:00Copyright (c) 2025 https://puirp.com/index.php/research/article/view/146AI Personalized Learning The Hidden Cost to Children's Critical Thinking2025-12-27T06:43:15+00:00Dr. A. Shaji Georgeeditor@puirp.comTina Shajieditor@puirp.comDr. Nataliia Siranchukeditor@puirp.com<p>The use of artificial intelligence has transformed childhood education into an opportunity enjoyed by the rich to a resource accessible to millions of people across the world. AI instructors offer individualized education, dynamic courses and limitless patience at the fraction of expenses of traditional tutoring. But there is an invisible paradox to this technological change. The extreme personalization that contributes to the effectiveness of AI in learning will also sabotage vital human development. In this article, the authors investigate three issues: 1) The problem with AI is that it prioritizes what the user likes, which creates filter bubbles that reduce intellectual exploration 2) The problem with AI companionship is that it is not good practice to build resilience since it lacks the constructive challenge and 3) The problem with AI companionship is that it is not good practice to build resilience since it lacks the healthy challenge. Through the analysis of existing studies, practical examples, and theories of developmental psychology, we consider the actual benefits of AI and the price that is not immediately apparent. It has been demonstrated that AI can enhance learning especially whereby the resources are limited. However, when we apply it blindly, we also run the danger of breeding a generation of children who are bigoted, unemotional, and incapable of resolving a conflict. The paper concludes with some recommendations to parents, educators and policymakers.</p>2025-12-25T00:00:00+00:00Copyright (c) 2025 https://puirp.com/index.php/research/article/view/147Cyber Resilience in an AI-Driven World: A Strategic Framework2025-12-27T06:46:20+00:00Dr. A. Shaji Georgeeditor@puirp.com<p>The contemporary cybersecurity landscape confronts organizations with unprecedented volatility stemming from geopolitical instability and accelerated artificial intelligence adoption. This article examines strategic imperatives for building organizational cyber resilience in an environment characterized by dual disruptions geopolitical conflict creating supply chain vulnerabilities and targeted attacks, alongside AI technologies simultaneously expanding attack surfaces while offering defensive capabilities. Drawing from empirical research indicating that 60% of chief information security officers identify macroeconomic volatility as a strategic challenge and 48% lack confidence in AI risk measurement capabilities, this study proposes a comprehensive framework grounded in six critical trends. These include architectural pattern adoption, software supply chain security maturation, security operations evolution through workflow augmentation, data-centric protection models, attack surface reduction strategies, and preparation for postquantum cryptographic transitions. The analysis reveals that effective cyber resilience requires fundamental shifts from reactive tool acquisition toward strategic architectural thinking, riskbased prioritization replacing generic vulnerability scoring, and cross-functional collaboration transcending traditional organizational silos. Organizations implementing these transformative strategies position themselves to convert security functions from cost centers into strategic enablers of digital business innovation.</p>2025-12-25T00:00:00+00:00Copyright (c) 2025 https://puirp.com/index.php/research/article/view/148Computer Vision is a Powerful Technology in the Agriculture Industry: A Review2025-12-27T06:48:31+00:00Elham Abdulrahman AL-Maqtarieditor@puirp.comEbtihal Abdulrahman AL-Maqtarieditor@puirp.com<p>The parallel relationship between increasing the population and food production leads the researchers to figure out new technologies and use them in the agriculture industry, keeping in mind the challenges of efficiency, productivity, sustainability, and reducing the costs. This paper highlights Computer Vision (CV) technology that has been used specifically in the agriculture field during the recent two years. It contains a review of the methods, sensors, and datasets that are used to improve the agriculture sector to meet the needs of people with good quality.</p>2025-12-25T00:00:00+00:00Copyright (c) 2025 https://puirp.com/index.php/research/article/view/151Leveraging Machine Learning and Behavioural Analytics to Identify Gaming Dependency and Online Toxicity Among Indian Youth2025-12-27T06:50:53+00:00Ms. Pooja Banerjeeeditor@puirp.com<p>The digital gaming market in India has been rapidly developing as a multi-billion rupee industry due to the participation of youth in this field and the engulfing technology. However, under its financial potential, there is a wave of behavioural addicts and digital toxicity. The topic of the paper is to investigate how machine learning and behavioural analytics can be useful in identifying and understanding the trends in gaming addiction and toxic behaviour online among Indian adolescents. The present study conducts a study using predictive modelling, sentiment analysis, and correlation mapping, utilising secondary data through the Internet and Mobile Association of India (2024), the World Health Organisation (2023), and the National Crime Records Bureau (2023) and analysing the behavioural patterns related to compulsive gaming. The results indicate that adolescents who spend over six hours a day in a gaming space have a 3.4-fold increased risk of psychological addiction and are also twice as prone to having toxic online interactions. This paper suggests an ethical human-centred AI intervention model that could identify early warning symptoms of behaviour modification without violating privacy. The paper arrives at the conclusion that the digital ecosystem of the young Indian population should not be based on the principles of algorithmic engagement but on the concept of emotional balance, in which machine learning is used not to increase dependence but to recover it.</p>2025-12-25T00:00:00+00:00Copyright (c) 2025 https://puirp.com/index.php/research/article/view/152Quadratic Unbiased Estimator: Some Properties 2025-12-27T06:53:05+00:00Dhritikesh Chakrabartyeditor@puirp.com<p>In an earlier study, concept of quadratic unbiased estimator was introduced and defined on the basis of quadratic expectation. Attempt has here been made to identify some important properties of quadratic unbiased estimator. This article is based on the information obtained in the attempt, on the properties of this unbiased estimator.</p>2025-12-25T00:00:00+00:00Copyright (c) 2025