Research Stream (eISSN 3049-2610)

Recent advances in machine learning applications to computational fluid dynamics (CFD): models, challenges and future perspectives

2025-12-07T13:54:13+00:00

Integrating machine learning (ML) techniques into computational fluid dynamics (CFD) has emerged as a promising model to speed up simulations, enhance turbulence modelling, improve prediction accuracies, and enable real-time flow analysis Comparative performance is also examined Critical analysis of previous work reveals current challenges, including limited generalization in flow regimes, high data requirements, and lack of robust uncertainty quantification The paper also outlines future approaches, including hybrid physics data-driven frameworks, transfer learning, interpretability, and open collaborative platforms Emphasis is By synthesizing developments and identifying research gaps, this study provides insights that can guide the development of ML–CFD towards robust, scalable, and industry-ready solutions

Keywords:- Machine Learning, Computational Fluid Dynamics, Turbulence Modelling, Hybrid Approaches, Uncertainty Quantification

उत्तर प्रदेश के बस्ती मंडल में इलेक्ट्रिक वाहनों के प्रति उपभोक्ता व्यवहार का आर्थिक एवं मनोवैज्ञानिक विश्लेषण

2025-12-07T13:59:47+00:00

यह शोधपत्र उत्तर प्रदेश के बस्ती मंडल (बस्ती, सिद्धार्थनगर एवं संत कबीर नगर) में इलेक्ट्रिक वाहनों (इलेक्ट्रिक वाहन) के प्रति उपभोक्ताओं के व्यवहार का आर्थिक एवं मनोवैज्ञानिक दृष्टि से विश्लेषण प्रस्तुत करता है। अध्ययन में उपभोक्ताओं की खरीद-निर्णय प्रक्रिया, आय एवं मूल्य-संवेदनशीलता, सरकारी प्रोत्साहनों का प्रभाव, पर्यावरणीय जागरूकता तथा तकनीकी स्वीकृति जैसे प्रमुख कारकों का मूल्यांकन किया गया है। सर्वेक्षण एवं साक्षात्कार आधारित प्राथमिक आंकड़ों से यह स्पष्ट हुआ कि युवा और मध्यम आय वर्ग इलेक्ट्रिक वाहन को अपनाने में अधिक रुचि रखते हैं, जबकि चार्जिंग अवसंरचना की कमी, बैटरी लाइफ और उच्च प्रारंभिक लागत प्रमुख बाधाएँ हैं। मनोवैज्ञानिक स्तर पर देखा गया कि उपभोक्ता पर्यावरणीय लाभ, सामाजिक प्रतिष्ठा, आधुनिक तकनीक का आकर्षण तथा दीर्घकालिक बचत को इलेक्ट्रिक वाहन अपनाने के प्रमुख प्रेरक कारक मानते हैं। समग्र रूप से अध्ययन से पता चलता है कि यदि सरकार एवं निजी कंपनियाँ स्थानीय स्तर पर चार्जिंग नेटवर्क सुदृढ़ करें और मूल्य को प्रतिस्पर्धी बनाएं, तो बस्ती मंडल में इलेक्ट्रिक वाहन बाजार तेजी से विस्तार कर सकता है।
मुख्य शब्द- उपभोक्ता व्यवहार, इलेक्ट्रिक वाहन, आर्थिक विश्लेषण, मनोवैज्ञानिक कारक, बस्ती मंडल, पर्यावरणीय जागरूकता, चार्जिंग अवसंरचना, खरीद-निर्णय प्रक्रिया

वर्तमान समय में छात्र-केंद्रित शिक्षण और वैयक्तिकरण की उपयोगिता

2025-12-07T14:04:04+00:00

मनुष्य सामाजिक प्राणी है और उसका सर्वाेत्तम विकास समाज में रहकर ही संभव है। इस विकास की आधारशिला शिक्षा है, जो न केवल व्यक्तिगत प्रगति बल्कि परिवार, समाज और राष्ट्र के विकास में भी सहायक होती है। गुणवत्तापरक शिक्षा के लिए प्रशिक्षित शिक्षक आवश्यक हैं, क्योंकि शिक्षा केवल ज्ञान का आदान-प्रदान नहीं बल्कि व्यक्तित्व के सर्वांगीण विकास का माध्यम है। बदलते सामाजिक परिदृश्य में अब शिक्षा का केंद्र बिंदु विद्यार्थी है, जहाँ पारंपरिक शिक्षक-ज्ञानदाता की भूमिका के स्थान पर सुविधादाता की भूमिका को महत्व दिया जा रहा है।
कीवर्ड-- छात्र-केंद्रित शिक्षण , वैयक्तिकरण, सर्वांगीण विकास, अनुभव-आधारित, स्व-निर्देशित शिक्षण, गुरुकुल परंपरा आदि।

AI and changes in the world of human

2025-12-07T14:05:53+00:00

Artificial Intelligence (AI) is the replication of human-like intelligence in machines in the form of software, which is programed to think as humans think. It encircles various types of technologies that enable computers to perform tasks usually required human intelligence such as learning, problem-solving, and decision-making. Various subfields of AI research are centered throughout specific goals and the use of specific tools. In this paper, we tried to study the impact of AI on human life. The traditional goals of AI research include natural language processing, planning, learning, reasoning, knowledge representation, perception, and support for robotics. To reach above goals, AI programmers adapted and combined an extensive range of techniques like formal logics, search optimization, artificial neural networks (ANN) and other methods based on statistics, operations research, and economics. AI also brings out upon philosophy, psychology, linguistics, neuroscience and other related fields. Some companies such as OpenAI, Google DeepMind and Meta aim to create artificial general intelligence (AGI) - AI that can complete virtually any cognitive task at least as well, as a human. But beyond the economic and governance challenges, we need to remember that AI first and foremost enlarges and intensify what it means to be human and in particular human problem-solving capacities. Today AI is influencing every human life directly or indirectly and we can’t live without using technologies amongst its misuses and unethical uses. Through a sensible portfolio of regulatory policies and agencies, we should continue to expand and to limit as appropriate the scope of potential AI application.

Keywords: Artifical intelligence, AI, human health, ethical issue, fake news, deepfake items.

PCR Based Identification Of Five Indian Phlebotomine Species From New Foci

2025-12-07T14:20:47+00:00

Phlebotomine sandflies are key vectors in the transmission of leishmaniasis, and their accurate identification is essential for effective vector surveillance. Traditional morphological methods often fail to differentiate closely related species, especially in newly emerging foci where species diversity is high. The present study employs PCR-based molecular techniques to identify five Indian phlebotomine species collected from new endemic areas. Species-specific primers targeting mitochondrial and ribosomal gene regions were used to amplify diagnostic fragments. Distinct PCR profiles successfully differentiated Phlebotomus argentipes, P. papatasi, P. sergenti, P. major and P. salehi. The findings demonstrate that PCR assays are reliable, rapid and highly sensitive tools for species identification, contributing significantly to early vector detection, mapping of new foci and improved leishmaniasis control strategies in India.

Keywords- Phlebotomine sandflies, PCR-based identification, Phlebotomus species, Molecular diagnostics, New endemic foci, Vector surveillance, Leishmaniasis, Species-specific primers

Wildlife Protection in Classical Sanskrit Drama: An Environmental Reading of Abhijñānaśākuntalam

2025-12-07T14:32:58+00:00

Kālidāsa’s Abhijñānaśākuntalam is celebrated as one of the pinnacles of Sanskrit dramaturgy, but it is equally significant as a literary text reflecting ancient Indian environmental ethics. Among its many ecological themes, wildlife protection emerges as a recurring moral principle, deeply embedded within the play’s setting, character interactions, and ethical framework.

The action opens in the tapovana- a sacred forest hermitage- where ascetics live in harmonious co-existence with flora and fauna. This space is governed not only by spiritual discipline but also by ecological codes of conduct. The prohibition against harming deer grazing near the hermitage is one of the first explicit statements of environmental ethics in the drama, underscoring that all life within the forest is to be respected and protected. The forest is depicted as a sanctuary, both physically and spiritually, for animals, birds, and humans alike.

In Act I, the hunting expedition of King Duṣyanta serves as a narrative entry point for discussing human- animal relationships. Though a hunter by royal duty, Duṣyanta is reminded by the hermits to refrain from harming gentle creatures within the hermitage boundaries. This distinction between permissible hunting and sacred non-violence reveals a nuanced ecological understanding: while the royal court may view hunting as sport or duty, the ascetic domain follows a principle akin to modern ‘wildlife reserves,’ where certain zones are free from exploitation.

Shakuntalā herself symbolizes this ethos. Her daily activities include tending to plants and caring for deer, showing that compassion for animals is part of her dharmic duty. In one poignant scene, she speaks affectionately to a deer as though addressing a family member, blurring the human–animal divide. Kālidāsa’s natural imagery such as creepers clinging to trees or deer frolicking in the shade imbues the forest with a sense of sentient vitality, reinforcing the idea that non-human life is integral to the community’s moral order.

Keywords: Wildlife, environmental, protection, Kālidāsa, human, activity, ecological, Animals, forest

Soil health and fertility management: Biochemical indicators and microbial Communities : A Review

2025-12-07T14:42:57+00:00

Soil health and fertility form the foundation of sustainable agricultural production, directly influencing crop productivity, nutrient cycling, and ecosystem resilience.This review synthesizes current understanding of soil quality assessment through biochemical indicators, microbial community structure, and the implementation of regenerative agricultural practices. Biochemical parameters such as soil organic carbon, enzyme activities, and nutrient availability are examined as critical metrics for evaluating soil functionality. The role of microbial diversity and community dynamics is discussed in relation to nutrient transformation, disease suppression, and soil structural stability. Regenerative practices including cover cropping, crop rotation, reduced tillage, organic amendments, and integrated livestock systems are analyzed for their capacity to restore degraded soils, enhance nutrient retention, and promote carbon sequestration. Advances in molecular and omics-based tools for studying soil microbiomes are also explored, highlighting their potential to guide targeted soil management interventions. By linking biochemical indicators with microbial ecology and sustainable management strategies, this review emphasizes the need for holistic approaches to maintain and improve soil health, ensuring long-term agricultural productivity and environmental sustainability.

Keywords: Soil health, fertility management, biochemical indicators, microbial communities, regenerative agriculture.

Assessing the Effects of Exchange Rate Movements on Nigeria’s Import Sector

2025-12-07T14:45:18+00:00

This study investigates the impact of foreign exchange rate fluctuations on Nigeria’s import performance over the period 1981–2022. The primary objective was to examine both the short- and long-run effects of exchange rate movements on Nigeria’s imports. The study employed data on imports as the dependent variable, while industrial production, real effective exchange rate (REER), external reserves, and inflation rate served as independent variables. Data were sourced from the World Development Indicators (WDI) and International Financial Statistics (IFS). Descriptive statistics and the Autoregressive Distributed Lag (ARDL) model were utilized to assess short-run and long-run relationships, while Pairwise Granger Causality tests were conducted to determine the direction of causality. The results revealed that REER, external reserves, and inflation negatively and significantly influence Nigeria’s import levels, while industrial production also exhibited a negative and significant relationship. The study recommends that the Nigerian government implement strategic measures to stabilize the foreign exchange market, regulate online forex platforms, and attract foreign investment. Furthermore, policies aimed at promoting economic diversification and domestic production are crucial to reducing import dependence and conserving foreign exchange reserves.

Keywords: Exchange Rate, Imports, ARDL Model, Inflation, Nigeria