International Journal of Advanced Research and Multidisciplinary Trends (IJARMT)
type: channel
description: The International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) is a peer-reviewed-refereed, open-access journal dedicated to publishing high-quality research across a broad spectrum of academic disciplines. Established in 2024, the journal aims to provide a platform for scholars, researchers, and professionals from various fields to share their innovative findings and contribute to global knowledge. Journal particulars: Title: International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) ISSN: 3048-9458 Impact Factor: 7.2 Frequency: Quarterly (4 issues per year) Publisher: Publication and Advance Research Welfare Society Publication Place: Hisar, Haryana Publisher Email: ijarmtjournal@gmail.com Editor-in-Chief: Dr. Anjali Khokhar Copyright: Remain Journal Starting Year: 2024 Main Subject: Multidisciplinary Language: English & Hindi Publication Format: Online (Open Access) Website: https://ijarmt.com
publisher: Publication and Advance Research Welfare Society
language: en-US
publication name: International Journal of Advanced Research and Multidisciplinary Trends (IJARMT)
issn: 3048-9458
items: पर्यावरण प्रदूषण के क्षेत्र में गुरु जंभेश्वर का योगदानः एक अध्ययन
items: भू राजस्व के विशेष संदर्भ में भू राजस्व व्यवस्था का उदय और विकासः एक अध्ययन
items: THE IMPACT OF ADMINISTRATIVE TRIBUNALS ON INDIAN GOVERNANCE
items: Dietary Patterns and Vitamin B12–Folate Axis in Gestational Diabetes Mellitus: A Comparative Analysis
items: Opportunities and Challenges of Hollow Core Fiber Deployment in India
items: सरस्वती नदी बेसिन की सभ्यतागत: एक विश्लेषण
items: CSR AS A DRIVER OF BRAND VALUE: EVIDENCE FROM INDIAN CORPORATES LISTED ON THE BOMBAY STOCK EXCHANGE
items: The Impact Of Artificial Intelligence On Financial Reporting Accuracy And Fraud Detection: Evidence From Indian Banking Companies
items: A Deep Learning Framework for Multi-Class Lung Disease Classification Using Chest X-Ray Images
items: भारत विभाजन का पंजाब (हरियाणा) की ग्रामीण अर्थव्यवस्था पर प्रभाव।
items: Role of E-Commerce in Promoting Bastar Handicrafts: A Quantitative Study.
items: STUDY OF PROFESSIONAL COMPETENCY OF YOUNG AGE AND MIDDLE AGE PROFESSIONALS IN RELATION TO THEIR PHYSICAL ACTIVITY
items: A Relationship between Psychological Well-Being and Functional Fitness of Senior Citizens
items: “Barriers to Effective Agricultural Credit Delivery: A Study of Public Sector Banks in Haryana”
items: परशुराम शुक्ल की बाल कहानियों में अभिव्यक्त समाज और संस्कृति
items: दुर्ग जिले (छत्तीसगढ़) के जल संसाधनों का बहुआयामी विश्लेषण
items: Bridging the Employability Gap: The Importance of English Communication Skills for Engineering Graduates
items: Exploring the Role of Yoga, Meditation, Spirituality and Sports in Mental Health
items: LC–MS/MS-BASED APPROACHES FOR METABOLITE IDENTIFICATION AND QUANTIFICATION OF VONOPRAZAN: A COMPREHENSIVE REVIEW
items: RECENTLY APPROVED ANTIDIABETIC DRUGS BY FDA AND METABOLITE CHARACTERIZATION STUDIES USING LC/MS: A COMPREHENSIVE REVIEW
items: Psychosocial Influences on Compulsive Facebook Habits: Personality Meets Self-Perception
items: Phytochemical Profiling and In Vitro Anti-Inflammatory Potential of Stachytarpheta indica (L.) Vahl Leaf Extracts
items: A Comparative Study of Body Composition among Middle-Aged Adults of Patiala
items: Design and Simulation of Non-isolated Bidirectional DC-DC Converter for Vehicle Application
items: Development of a Grid-Connected PV–DFIG Hybrid Renewable Energy System with Advanced Control Strategies
items: Grid Connected Hybrid Energy Storage Structure with Renewable Energy Sources
items: Public Policy Exception In Arbitration Law In India And The United Kingdom: A Comparative Analysis Of Judicial Interpretation And Its Impact On Commercial Certainty
items: A Comparative study of Mental Health among Employed and Unemployed Young Technical Personnel
items: Modeling and Simulation of a PV-Based Boost Converter with Maximum Power Point Tracking
items: शैलेश मटियानी के कथा-साहित्य में मानवीय संवेदनाओं की अभिव्यक्ति
items: Review on Multi-Level Ensemble and Transfer Learning Approaches for Cybersecurity Anomaly Detection
items: Promoting Research And Innovation Through Ai: Global And Indian Perspectives
items: William Golding’s View of Human Nature in Lord of the Flies
items: GREEN MARKETING AND CONSUMER BUYING BEHAVIOUR: A STUDY ON SUSTAINABILITY-DRIVEN BRAND PREFERENCES
items: शिक्षकांना सूक्ष्म अध्ययन कार्यनीतीची अंमलबजावणी करताना येणाऱ्या आव्हानांचा एक चिकित्सक अभ्यास
items: Secure Agricultural Data Sharing Architecture Using Blockchain, IoT, and Smart Contracts for Climate-Smart Farming
items: Design and implement intelligent automation techniques in web applications for improving operational efficiency, reducing manual intervention, and optimizing real-time decision-making processes
items: Bartanvi Punjabi Galap Da Alochanatmk Adhyan
items: https://ijarmt.com/index.php/j/article/view/936
items: Pharmacological evaluation of euphorbia hirta l. Leaves for the management of diabetes mellitus
items: Regional Disparities In Agricultural Land Use, Cropping Intensity And Irrigation Development In Rajasthan
items: लोक संगीत के संरक्षण एवं प्रचार-प्रसार में सांगीतिक आयोजनों की भूमिका : एक समीक्षात्मक अध्ययन।
items: A Comparative Analysis Of Polynomial And Non-Polynomial Spline Approximations In Solving Nonlinear Boundary Value Problems
items: A Study on Digital Financial Behaviour, Behavioural Biases, and Investment Decision-Making specifically in Indore Region
items: उच्च शिक्षा के विद्यार्थियों में करियर निर्देशन एवं निर्णय क्षमता का अध्ययन
items: औपनिवेशिक भारत में महिला वं राष्ट्रवादी आंदोलन
items: दौसा जिले में पंचायती राज व्यवस्था और ग्रामीण बुनियादी ढाँचे के विकास का विश्लेषण
items: Ethical Considerations Of Euthanasia In The Bhagavad Gita
items: वराह पुराण का काल-निर्धारण
items: A Deep Learning-Based Framework for Smart Home Energy Consumption Forecasting
items: Investigating Generative Artificial Intelligence Usage And Investment Performance Efficiency Among Retail Investors In Coimbatore District
items: An Efficient Deep Learning Framework for ECG and EEG Signal Classification in Embedded Healthcare Systems
items: Historical Evolution And Cultural Identity Of The Mankirdias Tribe: A Socio-Anthropological Study
items: Impact of british colonial rule on agrarian relations in north odisha during the nineteenth and twentieth centuries
items: PORTRAYAL OF MOTHERHOOD IN MODERN LITERATURE
items: A Study of Birla Mandir, Bhopal
items: Image-Based Deep Learning Approach for Crop Disease Detection: A Schematic Review
items: इतिहासलेखन में राव तुलारामः औपनिवेशिक और राष्ट्रवादी दृष्टिकोण का तुलनात्मक अध्ययन
items: Political Dimensions of Regionalism and Pathways Toward Inclusive Development
items: रोहतक नगर में पेय जल संकट: एक विष्लेषणात्मक अध्ययन
items: “Development and Characterization of Polyphenol-Loaded Chitosan Nanoparticles from Coffea arabica and Evaluation of Antioxidant Activity”
items: An Analytical Study Of Facial Expression Recognition Using Convolutional Neural Networks For Enhanced Classification Accuracy
items: Educational Discontinuity Among Displaced Adolescent Girls In Manipur
items: Analytical Study Of Secondary Metabolites In Medicinal Plant Species
items: Optimization Accuracy of Distributed Denial of Service Attacks in Cybersecurity based on Machine Learning
items: ग्रामीण हरियाणा से शहरी क्षेत्रों की ओर प्रवासन और सामाजिक-आर्थिक परिवर्तनः एक ऐतिहासिक अध्ययन
items: Adjustment of Secondary School Students in Relation to Gender and Types of School
items: A bibliometric analysis on training, effectiveness and efficiency

पर्यावरण प्रदूषण के क्षेत्र में गुरु जंभेश्वर का योगदानः एक अध्ययन
type: item
description: गुरु जम्भेश्वर जी, जिन्हें जम्भोजी के नाम से भी जाना जाता है, का जन्म 1451 ईस्वी में नागौर जिले के पीपासर में पंवार गोत्र के एक दूरदराज के राजस्थानी राजपूत परिवार में हुआ था । उनके पिता का नाम लोहाट जी पंवार और माता का नाम हंसा बाई था। जम्भोजी ने 27 साल जंगल में अकेले बैठकर, ध्यान करते हुए बिताए । उन्होंने 1485 में राजस्थान के बीकानेर जिले के नोखा के पास धोरा गांव में बिश्नोई संप्रदाय की स्थापना की। उनकी शिक्षाएं काव्य रूप में थीं, जिन्हें शब्दवाणी के नाम से जाना जाता है। उनकी शिक्षाएं 29 सिद्धांतों और 120 शब्दों में शामिल हैं । उनतीस सिद्धांतों में से आठ पर्यावरण, जैव विविधता, पारिस्थितिकी की सुरक्षा के लिए सख्त दिशानिर्देश हैं और साथ ही वे अच्छी पशुपालन और जीवित चीजों के प्रति दया की भावना को प्रेरित करते हैं। ये सिद्धांत जानवरों को मारने, हरे पेड़ काटने, बैलों की नसबंदी पर सख्ती से रोक लगाते हैं, और सभी जीवों के संरक्षण को प्रेरित करते हैं। जम्भोजी ने अपने दिमाग का इस्तेमाल किया और पर्यावरण संरक्षण के आंदोलन को धार्मिक दर्शन में बदल दिया। वर्तमान समय में जब दुनिया पर्यावरणीय संकट का सामना कर रही है, तो जम्भोजी की शिक्षाएं बहुत महत्वपूर्ण साबित होती हैं।
creator: रेनु
creator: डाॅ. कुमारी सुमन
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-01
publication date: 2026-04-01
volume: 3
number: 2
starting page: 1
ending page: 9

भू राजस्व के विशेष संदर्भ में भू राजस्व व्यवस्था का उदय और विकासः एक अध्ययन
type: item
description: प्राचीन भारत में एक सुव्यवस्थित भू राजस्व प्रथा विद्यमान थी जो राज्य की आय का प्रमुख स्त्रोत थी। इस अध्ययन का उदेश्य भारत में भू राजस्व के उदय और विकास की जांच करना है। वैदिक काल में, जमीन को ज्यादातर समुदाय की सम्पति समझी जाती थी, जबकि राजा उसके रक्षक के तौर पर काम करता था। इस सुरक्षा और प्रशासनिक कार्यों के बदले में, राजा खेती की उपज का एक हिस्सा इकट्ठा करता था, जिसे आमतौर पर भाग कहा जाता है। अर्थशास्त्र में कहा गया है कि भू राजस्व उपज का लगभग छठा हिस्सा कर के तौर पर लिया जाना चाहिए । इसी तरह, मनुस्मृति भी राजा को खेती की उपज का एक हिस्सा राजस्व के तौर पर लेने का अधिकार देती है। भू राजस्व व्यवस्था का विकास राजनितिक अधिकार , प्रशासनिक संगठन और खेती की पैदावार से करीब से जुड़ा था। इसने न सिर्फ राज्य की आर्थिक नींव का काम किया, बल्कि पुराने भारत के खेती के ढांचे और ग्रामीण समाज को बनाने में भी अहम भूमिका निभाई।
creator: पिंकी देवी दलाल
creator: डाॅ. कुमारी सुमन
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-01
publication date: 2026-04-01
volume: 3
number: 2
starting page: 10
ending page: 16

THE IMPACT OF ADMINISTRATIVE TRIBUNALS ON INDIAN GOVERNANCE
type: item
description: Administrative tribunals in India are quasi-judicial bodies created to provide speedy, expert, and relatively inexpensive adjudication of disputes arising primarily from the expanding administrative state. Constitutionally anchored in Articles 323A and 323B and implemented through the Administrative Tribunals Act, 1985, they were intended to reduce judicial backlog, professionalize adjudication in specialized areas such as service law and taxation, and enhance administrative accountability. This paper analyzes the origin, structure, functioning, and impact of administrative tribunals—particularly the Central Administrative Tribunal (CAT) and State Administrative Tribunals (SATs)—on Indian governance, drawing on doctrinal developments, empirical assessments, and critical scholarship. It argues that tribunals have made a significant but uneven contribution to efficiency and access to justice, while also generating enduring concerns about independence, constitutionalism, and institutional design.
creator: Dr. Akshay Bhatt
creator: Mr. Mayank Rai
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-02
publication date: 2026-04-02
volume: 3
number: 2
starting page: 17
ending page: 27

Dietary Patterns and Vitamin B12–Folate Axis in Gestational Diabetes Mellitus: A Comparative Analysis
type: item
description: Introduction: Gestational Diabetes Mellitus (GDM) is a common metabolic disorder that occurs during pregnancy. GDM has been related to adverse maternal and child health. Dietary patterns and levels of micronutrients such as vitamin B12 and folate have been identified as key modifiable risk factors for GDM. However, there has been little research on the combined impact of these factors, particularly in Indian women. Methodology: A comparative cross-sectional study design was followed among a sample of 200 pregnant women, comprising 100 GDM and 100 non-GDM pregnant women. The study participants were recruited from the districts of Kurukshetra and Karnal. Data collection was conducted based on socio-demographic variables, dietary intake by the use of a 24-hour recall method and food frequency method, and biochemical variables such as vitamin B12 and folate levels. Results: The GDM subjects had significantly higher energy, carbohydrate, and fat intakes, whereas they had lower folate and vitamin B12 intakes. The GDM subjects also had lower fruit, dairy product, and green leafy vegetable intakes, whereas they had higher cereal and sweet food intakes. The prevalence of vitamin B12 and folate deficiencies was higher in GDM women. High BMI, lower vitamin B12, lower folate, higher carbohydrate, and lower fruit intakes were significant predictors of GDM, as confirmed by logistic regression analysis. Discussion: The findings of the study, therefore, suggest that dietary imbalance, as well as deficiencies of various micronutrients, contribute to the development of GDM. The interaction of vitamin B12 and folate levels may affect metabolic pathways, leading to insulin resistance. Nutritional imbalance, therefore, adds to the risk of developing GDM. Conclusion: It is observed that there is a strong association between dietary habits, micronutrients, and GDM risk. Improvement of dietary quality and adequate intake of vitamin B12 and folate may be helpful in reducing the burden of GD…
creator: Ankita Sehrawat
creator: Dr devender kumar
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-04
publication date: 2026-04-04
volume: 3
number: 2
starting page: 28
ending page: 38

Opportunities and Challenges of Hollow Core Fiber Deployment in India
type: item
description: As the telecommunications backbone of India rapidly scales to support expansive 5G/6G rollouts, high-frequency financial trading networks, and the explosive growth of AI-driven hyperscale data centers, our reliance on conventional single-mode fiber (SMF) faces physical limitations. Hollow Core Fiber (HCF), which guides light through an air-filled or vacuum core rather than solid silica glass, represents a paradigm shift in optical networking. This paper evaluates HCF's technical maturity, assessing its strategic opportunities for operations in India against formidable deployment barriers, such as a 50-100x cost premium, highly specialized splicing requirements, and a high terrestrial disruption environment. A phased deployment strategy tailored to the Indian telecom landscape is outlined.
creator: Parvez Khan
creator: Soham Parulekar
creator: Nazam Perwar
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-05
publication date: 2026-04-05
volume: 3
number: 2
starting page: 39
ending page: 54

सरस्वती नदी बेसिन की सभ्यतागत: एक विश्लेषण
type: item
description: प्रस्तुत शोध-पत्र सरस्वती नदी बेसिन की सभ्यतागत एवं सांस्कृतिक विरासत का ऐतिहासिक, पुरातात्विक एवं वैज्ञानिक दृष्टिकोण से विश्लेषण प्रस्तुत करता है। सरस्वती नदी भारतीय सभ्यता की उत्पति, विकास और सांस्कृतिक निरन्तरता में केन्द्रीय भूमिका निभाने वाली नदी रही है। वैदिक साहित्य में इसे ‘‘नदितमा’’, ‘‘अंबितमे’’ और ‘‘देवीतमे’’ जैसे विश्लेषणों से संबोधित किया गया है, जो इसके भौगोलिक, धार्मिक और सांस्कृतिक महत्व को स्पष्ट करते हैं। सरस्वती नदी बेसिन सिंधु-सरस्वती (हड़प्पा) सभ्यता का प्रमुख क्षेत्र रहा है , जहाँ सुव्यवस्थित नगर योजना, उन्नत जल निकासी प्रणाली, कृषि-आधारित अर्थव्यवस्था, शिल्प एवं व्यापार के प्रमाण प्राप्त होते हैं। राखी गढ़ी, कालीबंगा, बनवाली, फरमाना एवं अन्य पुरातात्विक स्थल इस क्षेत्र की विकसित सामाजिक-आर्थिक संरचना को रेखांकित करते हैं। आधुनिक वैज्ञानिक अनुसंधानों - विशेषतः उपग्रह चित्रण, भू-वैज्ञानिक सर्वेक्षण एवं पेलियों-चैनल अध्ययन से यह सिद्ध हुआ है की सरस्वती नदी का विस्तार प्रवाह क्षेत्र था, जो वर्तमान घग्गर-हकरा नदी प्रणाली से संबद्ध रहा है। इस प्रकार यह शोध-पत्र सरस्वती नदी बेसिन को भारतीय सभ्यता की एक मूलभूत सांस्कृतिक धरोहर के रूप में स्थापित करता है।
creator: प्रमोद
creator: डॉ. अशोक कुमार
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-05
publication date: 2026-04-05
volume: 3
number: 2
starting page: 55
ending page: 62

CSR AS A DRIVER OF BRAND VALUE: EVIDENCE FROM INDIAN CORPORATES LISTED ON THE BOMBAY STOCK EXCHANGE
type: item
description: Corporate Social Responsibility (CSR) is now a key component of modern business strategy, as it considers both the business side and the company's overall growth. More and more businesses are realising that corporate social responsibility (CSR) is important for promoting ethical business practices and long-term growth. CSR is essential because it ensures that businesses do the right thing, contribute to the economy's growth, and make the world a better place. This helps meet the needs of stakeholders and also fosters trust and a positive reputation. The Companies Act of 2013 in India stipulates that businesses must allocate a particular portion of their profits to corporate social responsibility (CSR). This makes it very important. This way, business goals can be more aligned with national goals, such as healthcare, education, and environmental sustainability. The findings indicate that businesses that engage in CSR not only enhance their public image but also experience growth advantages, including increased revenue, improved risk management, and elevated employee retention rates. The article also discusses the challenges and limitations of implementing CSR programs. It emphasizes the importance of CSR aligning with the company's primary objectives and the need for collaboration among all stakeholders. The report concludes with guidance for businesses on how to leverage CSR for long-term success while meeting their financial needs, social obligations, and brand value.
creator: Amit Parashar
creator: Dr. Durvendra Kumar Gautam
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-07
publication date: 2026-04-07
volume: 3
number: 2
starting page: 63
ending page: 75

The Impact Of Artificial Intelligence On Financial Reporting Accuracy And Fraud Detection: Evidence From Indian Banking Companies
type: item
description: Artificial Intelligence (AI) is a revolutionary technology in the banking industry that has dramatically affected financial reporting systems and fraud detection systems. This study analyzes the effect of AI on the accuracy of financial reporting and efficiency in fraud detection in Indian banking firms through a quantitative research methodology. A structured questionnaire was used to gather primary data on 80 banking professionals and conduct an analysis based on the statistical methods, including mean, standard deviation, weighted scores, correlation analysis, and ranking. The results indicate that AI is beneficial to financial reporting, by improving data consistency, error reduction, and enabling real-time processing, and enhancing fraud detection, using methods like pattern recognition, anomaly detection, and predictive analytics. The research also establishes some of the challenges such as expensive implementation, privacy of the data, and skills gaps, which influence the adoption of AI. In spite of these difficulties, the findings suggest that AI is critical in enhancing transparency, efficiency, and risk management in the banking systems. The research offers viable information to financial institutions and policymakers to facilitate the successful implementation of AI in the banking industry.
creator: Suryodoy Ghosh
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 76
ending page: 84

A Deep Learning Framework for Multi-Class Lung Disease Classification Using Chest X-Ray Images
type: item
description: Lung diseases are among the leading causes of mortality worldwide, and early detection plays a crucial role in effective treatment and diagnosis. Chest X-ray (CXR) imaging is one of the most widely used and cost-effective diagnostic tools for detecting lung abnormalities. However, manual analysis of large volumes of medical images can be time-consuming and prone to human error. To address this challenge, this study proposes a deep learning-based architecture for multi-class lung disease classification using chest X-ray images. The dataset used in this study is collected from the Kaggle repository and includes labeled images belonging to different lung disease categories such as pneumonia, tuberculosis, COVID-19, and normal cases. The proposed framework begins with image preprocessing techniques including grayscale conversion, resizing, normalization, and noise filtering to improve image quality and standardize the dataset. Subsequently, Region of Interest (ROI) extraction is performed to isolate the lung region and eliminate irrelevant background information, thereby enhancing feature learning. The processed dataset is divided into training and testing subsets using a 70:30 ratio. Several deep learning models including VGG16, VGG19, InceptionV3, ResNet50, and DenseNet201 are implemented for feature extraction and classification of lung diseases. These convolutional neural network architectures learn hierarchical features from the chest X-ray images through convolutional layers, pooling layers, and fully connected layers. The performance of the proposed system is evaluated using various statistical metrics such as Accuracy, Precision, Sensitivity (Recall), F1-score, Kappa statistic, and Confusion Matrix. The experimental results demonstrate that deep learning models can effectively classify multiple lung diseases from chest X-ray images and assist in automated medical diagnosis. The proposed framework provides an efficient and reliable computer-aided diagnostic syste…
creator: Shailendra Saxena
creator: Dr. Neeraj Gupta
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-09
publication date: 2026-04-09
volume: 3
number: 2
starting page: 85
ending page: 99

भारत विभाजन का पंजाब (हरियाणा) की ग्रामीण अर्थव्यवस्था पर प्रभाव।
type: item
description: 1947 का भारत विभाजन भारतीय इतिहास की एक अत्यंत महत्वपूर्ण और दुखद घटना थी, जिसने देश की सामाजिक, आर्थिक और राजनीतिक संरचना को गहराई से प्रभावित किया। इसका प्रभाव केवल राष्ट्रीय स्तर तक सीमित नहीं रहा, बल्कि क्षेत्रीय स्तर पर भी इसके व्यापक परिणाम देखने को मिले। हरियाणा, जो उस समय अविभाजित पंजाब का हिस्सा था, विभाजन की इस प्रक्रिया से विशेष रूप से प्रभावित हुआ। विभाजन के परिणामस्वरूप बड़े पैमाने पर जनसंख्या का विस्थापन हुआ, जिसमें पश्चिमी पंजाब से आए शरणार्थियों ने हरियाणा के ग्रामीण क्षेत्रों में आकर बसावट की। इस अचानक जनसंख्या परिवर्तन ने ग्रामीण अर्थव्यवस्था की संरचना को पूरी तरह बदल दिया। इस शोध पत्र का मुख्य उद्देश्य 1947 के भारत विभाजन के परिणामस्वरूप हरियाणा की ग्रामीण अर्थव्यवस्था में हुए परिवर्तनों का विश्लेषण करना है। अध्ययन में द्वितीयक स्रोतों जैसे ऐतिहासिक ग्रंथों, शोध लेखों, सरकारी रिपोर्टों तथा जनगणना आंकड़ों का उपयोग किया गया है। शोध का स्वरूप वर्णनात्मक एवं विश्लेषणात्मक है, जिसके माध्यम से विभाजन के आर्थिक प्रभावों को विभिन्न आयामों में समझने का प्रयास किया गया है। अध्ययन से यह स्पष्ट होता है कि विभाजन के कारण भूमि स्वामित्व के प्रतिरूप में महत्वपूर्ण परिवर्तन हुए, क्योंकि पाकिस्तान जाने वाले लोगों की भूमि का पुनर्वितरण शरणार्थियों के बीच किया गया। इसके अतिरिक्त, प्रारंभिक वर्षों में कृषि उत्पादन में अस्थिरता देखने को मिली, किंतु समय के साथ नई कृषि तकनीकों और श्रम शक्ति के आगमन से इसमें सुधार हुआ। ग्रामीण क्षेत्रों में श्रम संरचना, उत्पादन प्रणाली और सामाजिक संबंधों में भी बदलाव आए, जिससे एक नई ग्रामीण अर्थव्यवस्था का निर्माण हुआ।
creator: सुहावना
creator: डॉ. राजबीर सिंह गुलिया
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-09
publication date: 2026-04-09
volume: 3
number: 2
starting page: 100
ending page: 107

Role of E-Commerce in Promoting Bastar Handicrafts: A Quantitative Study.
type: item
description: The rapid expansion of the digital economy has significantly transformed traditional modes of trade and commerce, offering new avenues for the promotion of indigenous industries. In this context, the present study investigates the role of e-commerce in promoting Bastar handicrafts through a quantitative analytical framework. The primary objective is to examine the impact of e-commerce adoption on market reach and sales performance, as well as to analyze the challenges hindering its effective utilization among artisans.The study is based on primary data collected from 200 respondents, including artisans and handicraft vendors, using a structured questionnaire. Statistical analysis was conducted using SPSS, employing inferential tools such as the Chi-square test and Pearson’s correlation coefficient. The results reveal a statistically significant association between e-commerce adoption and enhanced sales performance (χ² = 77.00, p < 0.05), indicating that digital platforms substantially improve market accessibility and economic outcomes. Furthermore, correlation analysis demonstrates a moderate negative relationship (r = -0.52) between adoption and prevailing challenges, suggesting that factors such as limited technical knowledge, inadequate infrastructure, and logistical constraints impede the effective integration of e-commerce.The findings underscore the dualistic nature of e-commerce as both an enabler of economic growth and a domain constrained by structural barriers. The study concludes that while e-commerce possesses significant potential to enhance the visibility and sustainability of Bastar handicrafts, targeted interventions focusing on digital literacy, infrastructural development, and policy support are essential to ensure inclusive participation.
creator: Tehsin Sultana, Dr. Samir Thakur
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-08
publication date: 2026-04-08
volume: 3
number: 2
starting page: 108
ending page: 117
doi: 10.65578/ijarmt.v3.i2.863

STUDY OF PROFESSIONAL COMPETENCY OF YOUNG AGE AND MIDDLE AGE PROFESSIONALS IN RELATION TO THEIR PHYSICAL ACTIVITY
type: item
description: This study aimed to investigate the connection between young and middle-aged professional’s professional competency and physical activity. Purposive sampling was used to select 60 full-time professionals, who were then divided into two age groups: young (ages 25–35) and middle-aged (ages 36–45). The study used a comparative and correlational design. Physical activity levels were measured using the International Physical Activity Questionnaire (IPAQ), burnout was measured using the Maslach Burnout Inventory (MBI), and professional competency was assessed using the Professionalization Scale. There were no discernible differences in burnout or professional competency between the age groups, according to statistical analysis. Additionally, there were no discernible relationships between professional competency, burnout, and physical activity. Professionals who engaged in a lot of physical activity had marginally higher competency scores, but the differences were not statistically significant. These results imply that professional competency may not be determined solely by age or level of physical activity. Additional influencing factors like job roles, mental health, and organizational environment should be investigated in future research.
creator: Sahil Rana
creator: Dr. Mahender Singh
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-12
publication date: 2026-04-12
volume: 3
number: 2
starting page: 118
ending page: 125

A Relationship between Psychological Well-Being and Functional Fitness of Senior Citizens
type: item
description: Purpose: The purpose of the present study was to examine the relationship between psychological well-being and functional fitness among senior citizens. With the increasing ageing population, maintaining both physical capability and mental health has become essential for improving the quality of life in old age. The study aimed to determine whether functional fitness is associated with psychological well-being among senior citizens. Methods: The study employed a descriptive correlational research design. A sample of 120 senior citizens aged 60 years and above was selected from urban and rural areas of Haryana using a random sampling technique. Functional fitness was measured using the Senior Fitness Test developed by Rikli and Jones (2001), and psychological well-being was assessed using Ryff’s Psychological Well-Being Scale (1989). Mean, standard deviation, and Pearson’s Product Moment Correlation were used for statistical analysis. Results: The results of the study indicated a positive and significant relationship between functional fitness and psychological well-being among senior citizens. Individuals with higher functional fitness scores tended to report higher levels of psychological well-being. Conclusion: The study concluded that better functional fitness is associated with improved psychological well-being among senior citizens. Enhancing functional fitness through suitable activities and health programs may contribute to better mental health and overall well-being in later life.
creator: Kanta Rani, Prof. Usha Rani
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 126
ending page: 131

“Barriers to Effective Agricultural Credit Delivery: A Study of Public Sector Banks in Haryana”
type: item
description: This study examines the barriers affecting the effective delivery of agricultural credit by public sector banks in Haryana and their implications for agricultural development. Agriculture, being a critical sector of the Indian economy, relies heavily on timely and adequate access to institutional credit for sustaining productivity and ensuring farmers’ income stability. Despite various government initiatives and financial inclusion programs, several operational and structural challenges continue to hinder the accessibility and efficiency of agricultural credit. The study adopts a quantitative research approach based on primary data collected from 588 farmers through a structured questionnaire. Statistical tools, including descriptive analysis and multiple regression, are employed to identify key factors influencing credit delivery. The findings reveal that documentation delays, loan processing time, collateral requirements, awareness gaps, and high interest rates are the most significant constraints affecting farmers’ access to credit. The regression results further indicate that these variables collectively explain a substantial proportion of the variation in agricultural development outcomes. The study concludes that while public sector banks play a crucial role in agricultural financing, their effectiveness is limited by procedural inefficiencies and inadequate support systems. It suggests the need for simplifying processes, improving awareness programs, enhancing institutional responsiveness, and leveraging technology to strengthen credit delivery mechanisms and promote sustainable agricultural development in Haryana.
creator: Jyoti Rani
creator: Dr Monika
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-09
publication date: 2026-04-09
volume: 3
number: 2
starting page: 132
ending page: 142

परशुराम शुक्ल की बाल कहानियों में अभिव्यक्त समाज और संस्कृति
type: item
description: साहित्य समाज का दर्पण है, समाज में जो घटित होता है, उसका प्रतिबिम्ब साहित्य में दिखाई देता है। जीवन की वास्तविकता को साहित्यकार सदैव लिखता रहा है। हमारी वर्तमान पीढ़ी को भविष्य में आने वाली पीढ़ी से जोड़ने की कड़ी बच्चे होते हैं। बाल-साहित्य, हिंदी साहित्य की एक सशक्त विद्या है। बाल-साहित्य बच्चों को केंद्र में रखकर लिखा जाने वाला साहित्य है। यह साहित्य प्राचीन काल से लेकर आधुनिक काल तक निरन्तर लिखा जा रहा है। स्वतन्त्रता से पूर्व बाल-साहित्य को दोयम दर्जे का साहित्य समझकर बड़े-बड़े साहित्यकार इसे लिखने से कतराते थे, लेकिन वर्तमान में बाल-साहित्य को बड़े से बड़ा लेखक भी लिखकर अपने को गौरवान्वित अनुभव करता है। वर्तमान में अनेक साहित्यकार बाल-साहित्य लिख रहे हैं। कुसुम डोमाल, प्रमाश मनु, हरिकृष्ण देवसरे, सुरेन्द्र विक्रम, मनोज कुमार आदि इन बाल-साहित्यकारों में एक प्रमुख नाम डॉ॰ परशुराम शुक्ल का भी है।
creator: राजेश कुमारी
creator: डाॅ॰ राजेन्द्र सिंह
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-13
publication date: 2026-04-13
volume: 3
number: 2
starting page: 143
ending page: 145

दुर्ग जिले (छत्तीसगढ़) के जल संसाधनों का बहुआयामी विश्लेषण
type: item
description: यह शोध पत्र छत्तीसगढ़ के दुर्ग जिले के सतही और भू-जल संसाधनों की वर्तमान स्थिति का मूल्यांकन करता है। शिवनाथ नदी बेसिन पर आधारित यह क्षेत्र औद्योगिक और कृषि प्रधान है। अध्ययन में पाया गया कि पिछले दशक में औसत वर्षा 1084 { mm} रही है, लेकिन तीव्र शहरीकरण के कारण भू-जल स्तर में 0.5 m/year} की गिरावट दर्ज की गई है।
creator: डॉ. राजू चन्द्राकर
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 146
ending page: 151
doi: 10.65578/ijarmt.v3.i2.877

Bridging the Employability Gap: The Importance of English Communication Skills for Engineering Graduates
type: item
description: The employability of engineering graduates has become a significant concern in the modern job market, where technical proficiency alone is no longer sufficient. This study explores the critical role of English communication skills in enhancing the employability of engineering graduates. In a globalized and competitive professional environment, employers increasingly seek candidates who possess not only technical knowledge but also the ability to communicate effectively in English. The research is based on secondary data collected from academic journals, industry reports, and previous studies focusing on employability and communication skills. The findings indicate that a lack of proficiency in English communication is one of the primary barriers preventing engineering graduates from securing employment, despite having strong technical backgrounds. Skills such as verbal communication, written communication, presentation ability, and interpersonal interaction significantly influence hiring decisions. The study also highlights that engineering curricula often emphasize technical training while neglecting soft skills development, thereby widening the employability gap. Furthermore, the research suggests that integrating communication skill training into engineering education can substantially improve job readiness. It emphasizes the need for structured language programs, industry-academia collaboration, and practical exposure through presentations and group discussions. The study concludes that English communication skills are not merely supplementary but essential for professional success, making them a key factor in bridging the employability gap among engineering graduates.
creator: Sandip Samadhan Dutte
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 152
ending page: 158
doi: 10.65578/ijarmt.v3.i2.885

Exploring the Role of Yoga, Meditation, Spirituality and Sports in Mental Health
type: item
description: The issue of mental health has become rather pressing in today’s world, with stress, anxiety, and depression rates increasing steadily. The paper analyzes ways in which yoga, meditation, spirituality, and sports can be used jointly as holistic tools to enhance mental well-being. Using literature review and theoretical approaches from various disciplines, the paper develops a conceptual framework incorporating all four factors mentioned above and exploring their impacts individually and collectively on psychological state. Based on a descriptive and analytical method, the study is conducted by analyzing secondary data through correlation, regression, and Structural Equation Modeling (SEM).
creator: Dr Anil Kumar Bhardwaj, Sushant Jha, Ms. Manisha Chouhan, Dr. Samir Thakur
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 159
ending page: 165
doi: 10.65578/ijarmt.v3.i2.887

LC–MS/MS-BASED APPROACHES FOR METABOLITE IDENTIFICATION AND QUANTIFICATION OF VONOPRAZAN: A COMPREHENSIVE REVIEW
type: item
description: Vonoprazan is a potassium-competitive acid blocker (P‑CAB) that has rapidly emerged as an alternative to proton pump inhibitors for the management of acid‑related disorders and Helicobacter pylori eradication therapy. Its extensive hepatic metabolism via cytochrome P450 (CYP) enzymes and sulfotransferases generates several major metabolites, including M‑I, M‑II, M‑III, and the sulfate conjugate M‑IV‑Sul, which have important implications for efficacy, safety, and drug–drug interaction (DDI) risk. Liquid chromatography–tandem mass spectrometry (LC–MS/MS) has become the method of choice for quantitative determination of vonoprazan and its metabolites in biological matrices and for structural elucidation in in vitro and in vivo metabolism studies. This review summarizes LC–MS/MS-based bioanalytical and metabolite identification approaches applied to vonoprazan, covering method development and validation in plasma, urine, liver microsomes and hepatocytes, strategies for simultaneous quantification of parent drug and multiple metabolites, and applications in pharmacokinetic, bioequivalence and DDI studies. Particular emphasis is placed on multiple‑reaction monitoring (MRM) methods, sample preparation workflows, regulatory validation parameters, and emerging trends such as green analytical chemistry and stable‑isotope internal standards. Finally, current gaps and future directions are discussed, including the need for more comprehensive metabolite profiling in humans, standardized reporting of metabolite exposure, and integration of LC–MS/MS data into mechanistic modeling frameworks.
creator: Ms. Alka Singh
creator: Dr. Nalini Kanta Sahoo
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-14
publication date: 2026-04-14
volume: 3
number: 2
starting page: 166
ending page: 180

RECENTLY APPROVED ANTIDIABETIC DRUGS BY FDA AND METABOLITE CHARACTERIZATION STUDIES USING LC/MS: A COMPREHENSIVE REVIEW
type: item
description: Type 2 diabetes mellitus (T2DM) represents a significant global health burden, with over 38 million Americans currently affected. The FDA has approved nearly 60 antidiabetic agents, with continuous expansion of therapeutic options including glucagon-like peptide-1 receptor agonists (GLP-1 RAs), sodium-glucose cotransporter-2 inhibitors (SGLT2i), and novel co-agonists. This review synthesizes recent FDA approvals in antidiabetic therapeutics (2023-2025), with particular emphasis on GLP-1 RAs, SGLT2 inhibitors, and emerging combination therapies. Additionally, this paper comprehensively discusses the role of liquid chromatography-mass spectrometry (LC/MS) in metabolite identification and characterization studies, including FDA compliance protocols and method validation guidelines. The review highlights key regulatory considerations, including GLP status, bioanalytical method validation parameters, and metabolite profiling strategies relevant to drug development. This work synthesizes current literature, regulatory guidance, and clinical data to provide a comprehensive understanding of modern antidiabetic drug development and metabolite assessment methodologies.
creator: Ms. Kajal Pal
creator: Dr. Nalini Kanta Sahoo
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-15
publication date: 2026-04-15
volume: 3
number: 2
starting page: 181
ending page: 190

Psychosocial Influences on Compulsive Facebook Habits: Personality Meets Self-Perception
type: item
description: Background: An increasing number of people are seeing the detrimental effects of Facebook use on their mental health and ability to interact socially, a phenomenon known as problematic Facebook use (PFU). Perceived social acceptability, self-efficacy, self-esteem, and personality characteristics are major factors in determining whether Facebook usage is excessive or maladaptive, according to previous studies. Method: This research followed the standard procedure for meta-analyses by conducting a systematic review. via the use of predetermined search terms, relevant studies were located via databases including Medline, Scopus, Web of Science, and ScienceDirect. A total of 124 studies were considered after screening and eligibility evaluation. Using standardised methods and evaluation tools, data extraction and quality assessment were carried out. Results: According to the results, PFU is favourably correlated with narcissism, impulsivity, loneliness, and high levels of neuroticism, and negatively correlated with attributes like emotional stability and conscientiousness. Some of the characteristics that mediate the relationship between problematic use and low self-esteem and self-efficacy include social comparison, the need for external validation, and the fear of missing out (FoMO). People are more likely to participate in excessive online conversations when they believe they are socially acceptable to do so. Conclusion: A number of interrelated psychological and personality traits contribute to PFU's complexity. Those who are already emotionally and socially vulnerable may resort to this unhealthy coping method. In order to improve mental health and decrease harmful social media usage, it is important to address these variables via tailored treatments.
creator: Jyotsna Gulati
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-17
publication date: 2026-04-17
volume: 3
number: 2
starting page: 191
ending page: 212

Phytochemical Profiling and In Vitro Anti-Inflammatory Potential of Stachytarpheta indica (L.) Vahl Leaf Extracts
type: item
description: Medicinal plants represent a valuable source of bioactive compounds with therapeutic relevance, particularly in the management of inflammatory disorders. This study investigated the phytochemical profile and in vitro anti-inflammatory activity of aqueous and methanolic leaf extracts of Stachytarpheta indica (L.) Vahl. Leaves were collected from Bhopal, authenticated botanically, and extracted using infusion (aqueous) and Soxhlet (methanolic) methods. Qualitative phytochemical screening revealed notable solvent-specific variation, with aqueous extracts containing tannins, saponins, glycosides, phenolics, flavonoids, alkaloids, and terpenoids, whereas methanolic extracts lacked tannins, saponins, and glycosides. Total phenolic content (TPC) was higher in the aqueous extract (0.0753 mg GAE/mL) compared to the methanolic extract (0.0718 mg GAE/mL), while total flavonoid content (TFC) was greater in the methanolic extract (0.4068 µg QE/mg) than the aqueous fraction (0.287 µg QE/mg). Anti-inflammatory potential assessed by the heat-induced protein denaturation assay demonstrated significant inhibition by the aqueous extract (42.16%) relative to the methanolic extract (6.32%), with aspirin showing 79.1% inhibition. The enhanced activity of the aqueous extract correlates with elevated phenolic-tannin presence and their known protein-stabilizing effects. Overall, the findings highlight S. indica as a promising source of natural anti-inflammatory agents and support the relevance of aqueous preparations in traditional medicine.
creator: Harshita Singh, Dr. Ritu Thakur Bais
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 213
ending page: 222

A Comparative Study of Body Composition among Middle-Aged Adults of Patiala
type: item
description: The current research was done to compare the body composition variables of middle-aged adults living in Patiala city. Body composition is one of the primary factors that predetermine overall health, which has an impact on physical fitness, metabolic efficiency and risk of disease. The variables were analyzed such as protein level, percentage of body water, percentage of fat, waist-hip ratio, height and skeletal mass. One hundred participants (50 men and 50 women) aged between 35 and 50 years were chosen by a simple random sampling method. A Bioelectrical Impedance Analyzer (BIA), tape and stadiometer were used to collect data. The data was analyzed using statistical methods which included mean, standard deviation and independent t-test. The results indicated that there were very significant variations in fat percentage, skeletal mass, and waist-hip ratio among the male and female respondents. The research sheds light on the essence of a balanced body composition in the healthy state and offers practical information to fitness professionals and health practitioners.
creator: Rishi Kumar
creator: Dr. Nishan Singh Deol
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-17
publication date: 2026-04-17
volume: 3
number: 2
starting page: 223
ending page: 233

Design and Simulation of Non-isolated Bidirectional DC-DC Converter for Vehicle Application
type: item
description: This paper presents the design and simulation of a non-isolated bidirectional DC–DC converter for electric vehicle (EV) applications, focusing on efficient energy transfer between the battery and DC bus. The proposed system integrates a battery energy storage unit with a bidirectional converter that operates in both buck mode (charging) and boost mode (discharging) to support vehicle operation and regenerative energy management. The model is developed and analyzed in MATLAB/Simulink using appropriate control strategies based on pulse width modulation (PWM). The performance of the system is evaluated under different operating conditions, including varying state of charge (SOC) levels, battery charging and discharging characteristics, DC link voltage stability, and load current response. The results demonstrate that the converter ensures smooth and efficient bidirectional power flow, with stable DC link voltage and minimal ripple. The SOC analysis confirms effective charging at lower levels and controlled charging near full capacity, preventing overcharging and enhancing battery life. During discharging, the system provides a consistent and reliable power supply to the load. the proposed non-isolated bidirectional DC–DC converter exhibits high efficiency, reliable operation, and effective energy management, making it suitable for electric vehicle applications, include battery management systems, regenerative braking, and auxiliary power support.
creator: Pradeep Kumar Singh
creator: Nitin Kumar
creator: Aman Gupta
creator: Nirbhay Singh
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-17
publication date: 2026-04-17
volume: 3
number: 2
starting page: 234
ending page: 253

Development of a Grid-Connected PV–DFIG Hybrid Renewable Energy System with Advanced Control Strategies
type: item
description: This study presents the design and simulation of a hybrid renewable energy system developed in MATLAB/Simulink to enhance fault protection and ensure reliable power delivery. The proposed system integrates solar photovoltaic (PV) and wind energy sources to achieve efficient and stable power generation under varying environmental conditions. The solar subsystem is modeled using a PV array coupled with Maximum Power Point Tracking (MPPT) algorithms such as Hill Climbing Search (HCS) and Perturb and Observe (P&O) to maximize energy extraction. The wind subsystem is implemented using both Permanent Magnet Synchronous Generator (PMSG) and Doubly Fed Induction Generator (DFIG) configurations for improved performance and flexibility. The generated power from both renewable sources is processed through power electronic converters and combined via a common DC-link, which acts as an energy buffer to maintain voltage stability and facilitate power balancing. The DC-link output is supplied to a DC/AC inverter that delivers controlled AC power to an asynchronous or synchronous motor. This motor is mechanically coupled to a generator, forming a Motor–Generator Pair (MGP) system that provides electrical isolation between renewable sources and the grid. This configuration enhances system protection by mitigating the impact of grid disturbances such as voltage sags, swells, and short circuits. Furthermore, the system incorporates advanced control strategies, including DC-link voltage regulation and a Fractional Order PID (FOPID) controller to improve dynamic response, stability, and robustness. In the DFIG-based configuration, the stator is directly connected to the grid, while the rotor is interfaced through a back-to-back converter consisting of a Rotor Side Converter (RSC) and Grid Side Converter (GSC), enabling independent control of active and reactive power along with DC-link voltage regulation. Additional components such as filters, measurement units, and fault control mechan…
creator: Dr. Sunil Kumar Singh
creator: Mangal Yadav
creator: Manjesh Kumar Nishad
creator: Mayank Yadav
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-18
publication date: 2026-04-18
volume: 3
number: 2
starting page: 254
ending page: 269

Grid Connected Hybrid Energy Storage Structure with Renewable Energy Sources
type: item
description: This study presents the design and analysis of a hybrid renewable energy system integrating multiple energy sources such as solar photovoltaic (PV), wind, and hydroelectric power along with advanced energy storage technologies including battery, hydrogen storage, and supercapacitor. The system is supported by a power conversion unit and controlled using an intelligent energy management system (EMS) to ensure efficient power flow and system stability. The proposed model utilizes converters and bidirectional energy flow to interact with the grid, enabling optimal utilization of generated and stored energy. A cooling system is also incorporated to maintain safe operating conditions of storage components. The system is analyzed under varying conditions to evaluate its performance in terms of reliability, efficiency, and stability. The results demonstrate that the proposed hybrid system effectively balances energy generation and consumption, reduces dependency on conventional sources, and ensures continuous power supply.
creator: Mr. Hitendra Kumar Pandey
creator: Shivam Savita
creator: Virendra Kumar Yadav
creator: Vishal Gautam
creator: Yashi Mishra
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-17
publication date: 2026-04-17
volume: 3
number: 2
starting page: 270
ending page: 287

Public Policy Exception In Arbitration Law In India And The United Kingdom: A Comparative Analysis Of Judicial Interpretation And Its Impact On Commercial Certainty
type: item
description: The public policy exception in arbitration law is an important tool in protecting the upholding of basic principles of law, and at the same time creates difficulties in respect of finality and enforcement of arbitral awards. This paper presents a comparative analysis of the interpretation and application of this exception in India and the UK, and in relation to its consequences on commercial certainty. Using statutory provisions, case law, and other pertinent international instruments, the analysis reveals the differences in the approaches taken by the courts in the two jurisdictions. Although historically India adopted a broad and interventionist interpretation, especially by landmark cases which created the concept of patent illegality, recent legislative changes and judicial practice have made this much tighter, more in line with international norms. By contrast, the United Kingdom has always been a restrictive and pro-enforcement jurisdiction, with minimal intervention of the judiciary and finality of arbitral awards. Business certainty, investor trust, and the arbitration landscape as a whole have all been profoundly impacted by these competing approaches, the study finds. In order to preserve the credibility of legal systems and arbitration as an effective means of resolving disputes, it is recommended that the public policy exception be read with a sense of proportion and principle.
creator: Aryan Choudhary
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 288
ending page: 297
doi: 10.65578/ijarmt.v3.i2.904

A Comparative study of Mental Health among Employed and Unemployed Young Technical Personnel
type: item
description: The Purpose of the present research paper is to highlight the mental health status of employed and unemployed young technical personnel who were recently employed and also on those who remain unemployed. Mental health status was measured by M.M.H.S.I. developed by Kumar and Thakur (1986). t-test was used to find out significant difference. Results obtained by t-test showed that young technical personnel who were employed have better mental health as compared to those who were not employed. Results were interpreted in terms of Indian sociocultural milieu.
creator: Shivani
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-18
publication date: 2026-04-18
volume: 3
number: 2
starting page: 298
ending page: 301

Modeling and Simulation of a PV-Based Boost Converter with Maximum Power Point Tracking
type: item
description: This study presents the modeling and simulation of a hybrid renewable energy system integrating solar photovoltaic (PV), wind energy, and battery storage using MATLAB/Simulink. The system is designed with a common DC bus architecture, where the PV array operates under a Maximum Power Point Tracking (MPPT) controller, and the battery is connected through a bidirectional DC–DC converter for energy management. A DC–AC inverter with PWM control converts the DC power into three-phase AC, which is supplied to the load and utility grid through an LC filter.Simulation results demonstrate that the PV system achieves a stable DC voltage of approximately 375 V, while the inverter delivers a constant output power of about 5 kW. The three-phase voltage and current waveforms are balanced and sinusoidal, indicating efficient inverter performance with good power quality. The battery effectively supports the system during fluctuations, and the overall system maintains stability under varying wind speed conditions.The results confirm that the proposed hybrid system provides reliable, efficient, and continuous power supply, making it suitable for grid-connected and standalone renewable energy applications.
creator: Dr. Sunil Kumar Singh, Roshan Vishwakarma, Sandeep Kumar Sonkar, Saroj
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 301
ending page: 321

शैलेश मटियानी के कथा-साहित्य में मानवीय संवेदनाओं की अभिव्यक्ति
type: item
description: शैलेश मटियानी हिन्दी साहित्य के ऐसे सशक्त कथाकार हैं, जिनकी रचनाओं में मानवीय संवेदना का व्यापक स्वरुप परिलक्षित होता है। उन्होंने समाज के हाशिए पर खड़े,उपेक्षित, शोषित तथा संघर्षशील मनुष्यों के जीवन को अपनी रचनाओं का केन्द्र बनाया, उनकी संवेदना केवल करुणा तक सीमित नहीं है, बल्कि वह मुनष्य के अस्तित्व, उसकी गरिमा, संघर्ष, आशा और जिजीविषा की संवेदना है। मटियानी ने अपने कथा-साहित्य में ग्रामीण, आंचलिक, नगरीय तथा निम्नवर्गीय जीवन के विविध-आयामों को प्रस्तुत किया है। उनके साहित्य में स्त्री, दलित, मजदूर, विस्थापित और अभावग्रस्त वर्ग के जीवनानुभवों का सशक्त चित्रण मिलता है। प्रस्तुत शोध-पत्र में शैलेश मटियानी के साहित्य में निहित संवेदना के विविध पक्षों - मानवीय करुणा, सामाजिक चेतना, स्त्री-संवेदना, लोक-संवदेना,तथा पर्वतीय जीवन बोध का विश्लेषण किया है।
creator: डॉ० मीनू जोशी
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 322
ending page: 327
doi: 10.65578/ijarmt.v3.i2.911

Review on Multi-Level Ensemble and Transfer Learning Approaches for Cybersecurity Anomaly Detection
type: item
description: This review paper critically analyzes and synthesizes existing research to evaluate the performance, limitations, and practical applicability of multi-level ensemble and transfer learning architectures for anomaly detection in cybersecurity systems. The study follows a systematic review approach, focusing on recent and relevant studies related to machine learning-based anomaly detection, ensemble learning methods, and transfer learning techniques applied to various cybersecurity datasets and environments. The selected literature is analyzed based on architectural design, learning models, performance metrics, and implementation challenges rather than proposing or developing a new model.The paper selection criteria include studies published in reputable journals and conferences that focus on cybersecurity anomaly detection using ensemble learning, transfer learning, or hybrid approaches, particularly those addressing real-world datasets and practical deployment scenarios.The findings from the reviewed literature consistently show that multi-level ensemble methods provide higher robustness and better detection accuracy than single-model and single-layer ensemble approaches, especially when dealing with noisy, high-dimensional, and imbalanced cybersecurity data. Transfer learning is found to significantly improve anomaly detection performance in data-scarce environments by enabling knowledge transfer from related domains, reducing training time, and enhancing generalization to unseen and novel attacks, the combined use of ensemble learning and transfer learning demonstrates notable improvements in reducing false positives and enhancing the detection of zero-day attacks and advanced persistent threats (Mukherji et al., 2004). Overall, the review highlights that integrating multi-level ensemble learning with transfer learning is a promising approach for developing adaptive, scalable, and resilient cybersecurity anomaly detection systems. However, challenges such as comput…
creator: Pratibha Pandey
creator: Prof. Anjali Saxena
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-29
publication date: 2026-04-29
volume: 3
number: 2
starting page: 328
ending page: 349

Promoting Research And Innovation Through Ai: Global And Indian Perspectives
type: item
description: Artificial Intelligence (AI) has emerged as one of the most transformative forces shaping contemporary research and innovation ecosystems across the world. By enabling advanced data analytics, predictive modelling, automation of routine tasks, and intelligent decision-making, AI has significantly altered how knowledge is generated, validated, and disseminated. This research paper examines the role of AI in promoting research and innovation from a combined global and Indian perspective, highlighting both opportunities and structural challenges. The study adopts a qualitative and analytical approach, drawing upon interdisciplinary literature, policy documents, and real-world case examples to explore how AI enhances research productivity, fosters cross-disciplinary collaboration, and accelerates innovation cycles. At the global level, the paper analyses how leading economies and institutions integrate AI into research infrastructures to address complex societal problems in health, education, climate change, and industrial development. Simultaneously, the Indian context is examined with reference to national initiatives such as the National Education Policy 2020, National Strategy for Artificial Intelligence, and the growing role of academic institutions, startups, and public research organizations. The paper also critically engages with ethical, legal, and social concerns associated with AI-driven research, including data privacy, algorithmic bias, transparency, and academic integrity. By juxtaposing global best practices with India’s evolving research ecosystem, the study identifies gaps, strengths, and future possibilities. It concludes that AI, when governed responsibly and inclusively, can act as a powerful enabler of equitable research and sustainable innovation, provided that human creativity, ethical oversight, and institutional capacity-building remain central to its deployment.
creator: Hemander Singh
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-30
publication date: 2026-04-30
volume: 3
number: 2
starting page: 350
ending page: 360

William Golding’s View of Human Nature in Lord of the Flies
type: item
description: William Golding’s Lord of the Flies offers a profound and unsettling exploration of human nature, challenging the optimistic belief that humans are inherently good and guided by reason. This paper argues that Golding presents a fundamentally pessimistic view of humanity, suggesting that evil is an intrinsic part of human nature that emerges when societal constraints are removed. Through the gradual degeneration of a group of schoolboys stranded on an isolated island, Golding reveals how fragile civilization is and how quickly individuals revert to primitive instincts. By analysing key characters—Ralph, Jack, Piggy, and Simon—this study examines the tension between order and chaos, reason and instinct, morality and savagery. It also explores the symbolic significance of the “beast” and the breakdown of social structures. Ultimately, the paper concludes that Golding views human nature as deeply flawed, requiring continuous discipline, ethical awareness, and societal regulation to prevent moral collapse.
creator: Dr Satish Kumar
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-02
publication date: 2026-05-02
volume: 3
number: 2
starting page: 361
ending page: 363

GREEN MARKETING AND CONSUMER BUYING BEHAVIOUR: A STUDY ON SUSTAINABILITY-DRIVEN BRAND PREFERENCES
type: item
description: Green marketing has emerged as one of the most significant strategic shifts in contemporary business practice, driven by escalating environmental consciousness and evolving consumer expectations. This paper investigates the relationship between green marketing practices and consumer buying behaviour, with a specific focus on sustainability-driven brand preferences. Drawing on secondary data from multiple global consumer surveys (2023–2025), this study analyses the influence of eco-labeling, sustainable packaging, green advertising, corporate social responsibility (CSR), and eco-branding on purchase intention and brand loyalty. Results confirm a strong positive correlation between green marketing communication and consumer purchase behaviour, with younger demographics—particularly Gen Z and Millennials—demonstrating disproportionately higher sustainability-driven brand preferences. The paper further identifies greenwashing distrust, price premiums, and unclear eco-labeling as primary barriers to green purchasing. Theoretical grounding is provided through the Theory of Planned Behaviour (TPB) and the Green Purchase Intention Model. Findings carry significant implications for marketers, brand managers, and policy architects in India and globally.
creator: Dr. Sanjog Kakade
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-04
publication date: 2026-05-04
volume: 3
number: 2
starting page: 364
ending page: 381

शिक्षकांना सूक्ष्म अध्ययन कार्यनीतीची अंमलबजावणी करताना येणाऱ्या आव्हानांचा एक चिकित्सक अभ्यास
type: item
description: 21व्या शतकामध्ये प्रत्येक क्षेत्रात वेगाने बदल घडताना दिसत आहेत. त्यात शिक्षण क्षेत्रातही अमुलाग्र बदल घडत आहे. आपल्या जीवनात तंत्रज्ञानाच्या शिरकाव्यामुळे शैक्षणिक पार्श्वभूमी बदलत आहे.आजच्या डिजिटल युगात विद्यार्थ्यांचा एकाग्रतेचा काळ कमी होत चालला आहे.(Nidhi Waldia et al 2013) पारंपारिक आणि दीर्घकालीन चालणाऱ्या अध्ययन अध्यापन पद्धती मधील मर्यादा (MohammedG.S.et al 2018) लक्षात घेता सूक्ष्मअध्ययन कार्यनीती (micro learning strategies) ही एक प्रभावी पद्धती समोर आली आहे. प्रदीर्घ व्याख्यानांपेक्षा त्याच व्याख्यानांचे छोटे घटक (bite sized content ) शिकवणे ही काळाची गरज बनली आहे.(Vivian, J.2018) सूक्ष्म अध्ययन म्हणजे शैक्षणिक माहितीचे अत्यंत छोट्या सुटसुटीत आणि अर्थपूर्ण भागांत (Bite-sized modules) विभाजन करणे. प्रस्तुत संशोधनाचा मुख्य उद्दिष्ट माध्यमिक स्तरावरील शिक्षकांना ही सूक्ष्मअध्ययन कार्यनीती (micro learning strategies) प्रत्यक्ष व्यवहारात वापरत असताना कोणत्या आव्हानांचा सामना करावा लागतो. याचा चिकित्सक अभ्यास करणे हा आहे. प्रस्तुत संशोधनासाठी वर्णनात्मक सर्वेक्षण पद्धती(descriptive survey method) वापरण्यात आली आहे. संशोधकाने निवडक माध्यमिक शिक्षकांकडून प्रश्नावली द्वारे माहिती संकलित केली आहे. संशोधनातून असे निष्पन्न झाले की सूक्ष्म अध्ययन पद्धती लवचिक आणि वेळ वाचवणारी असली तरी तिच्या अंमलबजावणीत अनेक अडथळे आहे. यामध्ये प्रामुख्याने इंटरनेटचा अभाव असणे किंवा इंटरनेट असून वेग कमी असणे, अद्ययावत उपकरणांची कमतरता, शिक्षकांमधील तांत्रिक कौशल्याचे अज्ञान, दैनंदिन कामातून मिळणारा कमी वेळ यांचा समावेश होतो. संशोधनातून असे दिसून आले आहे की अनेक शिक्षकांमध्ये डिजिटल साक्षरतेचा अभाव असल्याने ते नवीन तंत्रज्ञान स्वीकारण्यास मानसिक दृष्ट्या तयार नसतात. सूक्ष्म अध्ययन कार्यनीती यशस्वी होण्यासाठी शाळांनी पायाभूत सुविधा पुरविणे. शासनाने शिक्षकांसाठी विशेष कार्यशाळा आयोजित करणे आवश्यक आहे. हे संशोधन शिक्षकांच्या डिजिटल सक्षमीकरणासाठी आणि विकासासाठी मार्गदर्शक ठरेल. सूक्ष्म अध्ययन राबविताना येणाऱ्या अडचणींवर मात करण्यासाठी उपाय योजना सुचवेल. सदर संशोधनामुळे अध्यापन प्रक्रिया प्रभावी आणि परिणामकारक होण्यास मदत होईल. या दृष्टीने हे संशोधन महत्त्वाचे ठरेल.
creator: सौ. वृंदा महेश पवार, डॉ. अमोल शिवाजी चव्हाण
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 382
ending page: 389
doi: 10.65578/ijarmt.v3.i2.932

Secure Agricultural Data Sharing Architecture Using Blockchain, IoT, and Smart Contracts for Climate-Smart Farming
type: item
description: The rapid advancement of digital technologies has significantly transformed modern agricultural systems and introduced new opportunities for achieving sustainable and climate-smart farming practices. Climate change, environmental degradation, water scarcity, soil fertility decline, unpredictable weather conditions, and increasing food demand have intensified the need for intelligent agricultural management systems capable of supporting data-driven decision-making. In this context, agricultural data has become one of the most valuable resources for improving productivity, sustainability, resource optimization, and climate resilience. However, conventional agricultural data management systems suffer from several limitations, including lack of transparency, centralized data control, cybersecurity vulnerabilities, poor interoperability, data manipulation risks, and inadequate stakeholder trust. The present study focuses on the development of a secure agricultural data sharing architecture using Blockchain, Internet of Things (IoT), and smart contracts for climate-smart farming. The proposed framework integrates decentralized blockchain infrastructure with IoT-enabled environmental monitoring systems and automated smart contract mechanisms to establish a secure, transparent, scalable, and intelligent agricultural data ecosystem. IoT devices continuously collect real-time agricultural and environmental data related to soil moisture, temperature, humidity, rainfall, crop conditions, water levels, fertilizer usage, pest detection, and climate variability. Blockchain technology ensures secure, immutable, and tamper-resistant storage of agricultural data, while smart contracts automate data access permissions, transaction validation, resource allocation, insurance claims, and supply chain coordination. The study adopts a mixed-method research design involving both qualitative and quantitative approaches. Primary data were collected through structured questionnaires, interview…
creator: Rashi Tanwar
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-03
publication date: 2026-05-03
volume: 3
number: 2
starting page: 390
ending page: 406

Design and implement intelligent automation techniques in web applications for improving operational efficiency, reducing manual intervention, and optimizing real-time decision-making processes
type: item
description: The rapid growth of digital technologies and online services has increased the demand for intelligent web applications capable of improving operational efficiency, reducing manual intervention, and supporting real-time decision-making processes. Traditional web systems often suffer from limited automation, slower response time, lower prediction accuracy, and inefficient resource utilization. To address these challenges, this study proposes and implements intelligent automation techniques in web applications using Artificial Intelligence, Machine Learning, and Deep Learning models. The proposed framework integrates predictive analytics, recommendation systems, Natural Language Processing, chatbot automation, cybersecurity monitoring, and intelligent decision-making mechanisms into a scalable cloud-based web architecture. The system was developed using Machine Learning algorithms such as Decision Tree, Random Forest, Support Vector Machine, and Logistic Regression along with Deep Learning models including Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. Experimental analysis was conducted using real-time web datasets and operational analytics to evaluate the performance of the proposed AI-driven intelligent web system. The experimental results demonstrated significant improvements over traditional web systems across multiple performance metrics. The proposed intelligent system achieved an accuracy of 96.78%, precision of 95.64%, recall of 94.85%, and F1-score of 95.24%, compared to 82.45%, 80.12%, 78.90%, and 79.48% respectively in traditional systems. The Mean Squared Error was reduced from 0.185 to 0.042, confirming improved prediction capability and analytical performance. The AI-driven system also improved operational efficiency through intelligent automation. Response time decreased from 4.8 seconds to 1.6 seconds, while website processing speed improved from 3.9 seconds to 1.3 seconds. Automation efficiency increased from…
creator: Aakash Gaur
creator: Dr. Rupali Ahuja
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-07
publication date: 2026-05-07
volume: 3
number: 2
starting page: 407
ending page: 427

Bartanvi Punjabi Galap Da Alochanatmk Adhyan
type: item
description: “ਬਰਤਾਨਵੀ ਪੰਜਾਬੀ ਗਲਪ ਦਾ ਆਲੋਚਨਾਤਮਕ ਅਧਿਐਨ” ਇਸ ਖੋਜ ਦਾ ਮੁੱਖ ਉਦੇਸ਼ ਬਰਤਾਨੀਆ ਵਿੱਚ ਰਚੀ ਜਾ ਰਹੀ ਪੰਜਾਬੀ ਛੋਟੀ ਕਹਾਣੀ ਦੀ ਗਹਿਰੀ ਅਤੇ ਵਿਵਸਥਿਤ ਸਮਝ ਵਿਕਸਿਤ ਕਰਨਾ ਹੈ। ਇਸ ਅਧਿਐਨ ਵਿੱਚ ਬਰਤਾਨਵੀ ਪੰਜਾਬੀ ਗਲਪ ਦੇ ਇਤਿਹਾਸਕ ਵਿਕਾਸ, ਇਸ ਦੇ ਪ੍ਰਮੁੱਖ ਵਿਸ਼ਿਆਂ ਅਤੇ ਰਚਨਾਤਮਕ ਵਿਸ਼ੇਸ਼ਤਾਵਾਂ ਦਾ ਵਿਸਤ੍ਰਿਤ ਵਿਸ਼ਲੇਸ਼ਣ ਕੀਤਾ ਗਿਆ ਹੈ। ਪ੍ਰਵਾਸੀ ਜੀਵਨ ਦੇ ਅਨੁਭਵ, ਪਹਿਚਾਣ ਦਾ ਸੰਕਟ, ਸੰਸਕ੍ਰਿਤਿਕ ਦੋਹਰਾਪਣ, ਪੀੜ੍ਹੀ ਅੰਤਰ ਅਤੇ ਬਹੁ-ਸੰਸਕ੍ਰਿਤਿਕ ਸਮਾਜ ਦੇ ਪ੍ਰਭਾਵ ਨੂੰ ਕੇਂਦਰ ਵਿੱਚ ਰੱਖ ਕੇ ਚਰਚਾ ਕੀਤੀ ਗਈ ਹੈ। ਇਸ ਖੋਜ ਵਿੱਚ ਮੁੱਖ ਤੌਰ ‘ਤੇ ਦੂਜੇ ਸਰੋਤਾਂ ਅਤੇ ਚੁਣੀਂਦਾ ਕਹਾਣੀਆਂ ਦੇ ਪਾਠ-ਵਿਸ਼ਲੇਸ਼ਣ ਦੀ ਵਿਧੀ ਵਰਤੀ ਗਈ ਹੈ, ਜਿਸ ਨਾਲ ਗਲਪ ਦੀ ਅੰਦਰੂਨੀ ਬਣਤਰ ਅਤੇ ਅਰਥਧਾਰਾ ਨੂੰ ਸਮਝਣ ਵਿੱਚ ਮਦਦ ਮਿਲਦੀ ਹੈ। ਸਿਧਾਂਤਕ ਆਧਾਰ ਵਜੋਂ ਪ੍ਰਵਾਸੀ ਸਿਧਾਂਤ, ਉਪਨਿਵੇਸ਼ੋੱਤਰ ਦ੍ਰਿਸ਼ਟਿਕੋਣ ਅਤੇ ਸੰਸਕ੍ਰਿਤਿਕ ਮਿਲਾਪ ਦੀ ਧਾਰਨਾ ਨੂੰ ਅਪਣਾਇਆ ਗਿਆ ਹੈ, ਜੋ ਪ੍ਰਵਾਸੀ ਸਾਹਿਤ ਦੀ ਜਟਿਲਤਾ ਨੂੰ ਸਮਝਾਉਂਦੇ ਹਨ। ਇਹ ਅਧਿਐਨ ਦਰਸਾਉਂਦਾ ਹੈ ਕਿ ਬਰਤਾਨਵੀ ਪੰਜਾਬੀ ਗਲਪ ਪੰਜਾਬੀ ਸਾਹਿਤ ਨੂੰ ਵਿਸ਼ਵਿਕ ਪੱਧਰ ‘ਤੇ ਨਵੇਂ ਆਯਾਮ ਦਿੰਦਾ ਹੈ ਅਤੇ ਸੰਸਕ੍ਰਿਤਿਕ ਸੰਵਾਦ ਨੂੰ ਮਜ਼ਬੂਤ ਬਣਾਉਂਦਾ ਹੈ। ਇਸ ਤਰ੍ਹਾਂ, ਇਹ ਖੋਜ ਸਾਹਿਤਕ, ਸਮਾਜਿਕ ਅਤੇ ਸੰਸਕ੍ਰਿਤਿਕ ਦ੍ਰਿਸ਼ਟਿਕੋਣ ਤੋਂ ਇਸਦੀ ਮਹੱਤਤਾ ਨੂੰ ਉਜਾਗਰ ਕਰਦੀ ਹੈ।
creator: Dr. Sunita Rani
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-06
publication date: 2026-05-06
volume: 3
number: 2
starting page: 428
ending page: 439

https://ijarmt.com/index.php/j/article/view/936
type: item
title: The enhance personalized user interaction by incorporating contextual information such as conversational history, user preferences, emotional state, location, and behavioral patterns for adaptive and dynamic communication
description: This research focuses on enhancing personalized user interaction in intelligent chatbot systems by incorporating contextual information such as conversational history, user preferences, emotional state, location, and behavioral patterns for adaptive and dynamic communication. Traditional chatbot systems often suffer from poor contextual understanding, limited personalization, weak emotional adaptability, and inaccurate response generation, resulting in reduced user satisfaction and inefficient communication. To address these challenges, the proposed framework integrates Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and transformer-based NLP architectures such as BERT and GPT to improve semantic understanding, contextual reasoning, and personalized conversational response generation. The proposed system utilizes contextual memory management, sentiment analysis, behavioral prediction, and location-aware adaptation to create intelligent and human-like communication. Experimental evaluation demonstrates that the proposed Adaptive Context-Aware Hybrid Model significantly outperformed traditional conversational systems. The framework achieved 97.12% accuracy, 96.54% precision, 96.20% recall, and 96.37% F1-score. In addition, the system achieved 97.90% dialogue success rate, 98.10% personalization accuracy, and 98.25% user satisfaction score. The results confirm that integrating contextual computing and transformer-based conversational intelligence significantly improves adaptive communication, emotional understanding, dialogue continuity, and personalized interaction in intelligent chatbot systems.
creator: Bhavnistha
creator: Dr. Rupali Ahuja
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-05
publication date: 2026-05-05
volume: 3
number: 2
starting page: 440
ending page: 464

Pharmacological evaluation of euphorbia hirta l. Leaves for the management of diabetes mellitus
type: item
description: This research utilized in vivo models to investigate the anti-diabetic properties of an extract from Euphorbia hirta leaves in rats that were induced with diabetes using streptozotocin. (Wistar albino rodents). Ethanol was collected, identified, and extracted from fresh leaves of Euphorbia hirta using the Soxhlet method. As per OECD guideline 423, the extract was deemed safe following an acute toxicity test that delivered doses as high as 2000 mg/kg body weight. No negative effects were observed. Animals received streptozotocin (50 mg/kg body weight) to create a diabetic state and were administered extracts of Euphorbia hirta (200 mg/kg and 400 mg/kg, respectively, for 21 days) to induce diabetes. Rats in the extracted group had greater weights than the diabetic control animals and exhibited significant enhancements in their fasting blood glucose levels. Several renal function markers, such as blood urea and serum creatinine, along with liver enzyme levels (SGOT and SGPT), demonstrated significant enhancement. Results from the histology of the pancreatic tissues demonstrated that the islets of Langerhans were more organised, and patients treated with extracts demonstrated partial β-cell regeneration, which was more effective at higher dosages. The results of the current experiment show that Euphorbia hirta has considerable antidiabetic, hypolipidemic, hepatoprotective, and nephroprotective properties and can be used to manage diabetes mellitus.
creator: Md. Azaj Ahmad, Dr. Nitin Kumar Jumnani
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-03
publication date: 2026-05-03
volume: 3
number: 2
starting page: 465
ending page: 474

Regional Disparities In Agricultural Land Use, Cropping Intensity And Irrigation Development In Rajasthan
type: item
description: There are high regional disparities in agricultural development in Rajasthan, with regional differences in the use of land, the supply of irrigation and physical geography. The four indicators used in this study on regional differences in agriculture in Rajasthan are the percentage of land that is actually farmed compared to the total area, the percentage of that land that is farmed twice a year, the percentage of irrigated land compared to the total farmed land compared to the total area farmed. The results indicate a three-fold regional division, with higher agrarian development in the east and south-east (districts of Kota, Baran, Alwar and Bharatpur) due to rich agricultural soils and large-scale regulated irrigation; intermediate advancement in districts in the centre (such as Ajmer, Jaipur and Nagaur) with a transitional character; and lower development in west desert districts (Barmer, Jaisalmer and Churu) and south hilly/tribal districts (Udaipur, Pratapgarh and Sirohi). The analysis finds that the main factor causing differences in agricultural development is irrigation, with the canal-irrigated northwestern districts (Hanumangarh, Ganganagar) showing how human efforts can overcome environmental challenges. Cropping intensity and irrigation efficiencies are seen to be best in the eastern plains and very vast areas in the western and southern Rajasthan still depend on rainfall variability and subsistence agriculture. The paper highlights the relevance of locally based agricultural policies: irrigation in the arid areas, watersheds in tribal regions, and diversification in the well-developed agricultural regions to make it sustainable. The implications of these disparities are wider in terms of rural livelihoods, food security, and balanced socioeconomic development in the state than being limited to agriculture. A future study could be designed to incorporate changes over time, climate Analyse the effects of socio-economic factors, enhanced by GIS and first-…
creator: Jeetram, Dr. Rajesh kumar M. Damor
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-03
publication date: 2026-04-03
volume: 3
number: 2
starting page: 475
ending page: 492
doi: 10.65578/ijarmt.v3.i2.944

लोक संगीत के संरक्षण एवं प्रचार-प्रसार में सांगीतिक आयोजनों की भूमिका : एक समीक्षात्मक अध्ययन।
type: item
description: लोक संगीत किसी भी समाज की सांस्कृतिक पहचान, परंपरा तथा सामूहिक चेतना का जीवंत प्रतीक होता है। भारतीय लोक संगीत में विविधता, क्षेत्रीयता, सामाजिक जीवन तथा सांस्कृतिक मूल्यों की गहरी छाप दिखाई देती है। बदलते समय, वैश्वीकरण, आधुनिक तकनीक तथा पाश्चात्य संगीत के बढ़ते प्रभाव के कारण लोक संगीत की परंपराएँ धीरे-धीरे प्रभावित हो रही हैं। ऐसे समय में सांगीतिक आयोजन लोक संगीत के संरक्षण एवं प्रचार-प्रसार के महत्वपूर्ण माध्यम के रूप में उभरे हैं। प्रस्तुत शोध पत्र में भोपाल की प्रसिद्ध “ताल कचहरी” के संदर्भ में लोक संगीत के संरक्षण एवं प्रचार-प्रसार में सांगीतिक आयोजनों की भूमिका का समीक्षात्मक अध्ययन किया गया है। ताल कचहरी मध्यप्रदेश की सांस्कृतिक पहचान का एक महत्वपूर्ण मंच है, जहाँ लोक संगीत, लोक नृत्य तथा पारंपरिक वाद्य कलाओं को संरक्षित एवं प्रोत्साहित किया जाता है। इस आयोजन ने न केवल स्थानीय कलाकारों को मंच प्रदान किया है, युवा पीढ़ी को भी लोक संस्कृति से जोड़ने का महत्वपूर्ण कार्य किया है। प्रस्तुत अध्ययन मुख्यतः द्वितीयक स्रोतों जैसे पुस्तकों, शोध पत्रों, सांस्कृतिक रिपोर्टों तथा समाचार पत्रों पर आधारित है। अध्ययन में यह स्पष्ट हुआ कि सांगीतिक आयोजन सांस्कृतिक विरासत के संरक्षण, नई प्रतिभाओं के विकास, सांस्कृतिक पर्यटन को बढ़ावा देने तथा सामाजिक समरसता स्थापित करने में अत्यंत प्रभावी भूमिका निभाते हैं।
creator: कौशल्या धुर्वे, डॉ. वर्षा गोंटिया, डॉ. रवि कुमार पंडोले
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-03
publication date: 2026-05-03
volume: 3
number: 2
starting page: 493
ending page: 502

A Comparative Analysis Of Polynomial And Non-Polynomial Spline Approximations In Solving Nonlinear Boundary Value Problems
type: item
description: This paper is a comparative study of the use of spline approximation (polynomial and non-polynomial) in solution of nonlinear two-point boundary value problems (TPBVPs). The study points out the drawbacks of classic cubic polynomial splines in dealing with nonlinearities, stiffness, and oscillativeness, and points out the greater flexibility and accuracy of non-polynomial splines, namely exponential and trigonometric formulations. Analytical analysis and numerical examples show that the exponential spline has superior results in nonlinear and stiff and trigonometric spline has superior results in oscillatory systems. The results validate the fact that non-polynomial splines have better convergence rates, lower error, and better computational stability over polynomial ones.
creator: Kuldeep Kandwal, Dr. Vipul Patel
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-03
publication date: 2026-05-03
volume: 3
number: 2
starting page: 503
ending page: 511

A Study on Digital Financial Behaviour, Behavioural Biases, and Investment Decision-Making specifically in Indore Region
type: item
description: The rapid expansion of digital financial services and fintech platforms has significantly transformed the financial behaviour of households in India. Increasing adoption of digital wallets, mobile banking, Unified Payments Interface (UPI), internet banking, and online investment platforms has changed the saving, spending, and investment patterns of middle-class households. However, despite greater access to financial information and digital financial services, household investment decisions continue to be influenced by behavioural biases and varying levels of financial risk tolerance. Behavioural finance explains that investors do not always behave rationally and are often affected by psychological, emotional, and social factors while making financial decisions. The present study aims to examine the influence of digital financial behaviour, behavioural biases, financial literacy, and risk tolerance on investment decision-making among middle-class households in the Indore region. The study focuses on major behavioural biases such as overconfidence bias, herd behaviour, loss aversion, anchoring bias, and mental accounting, and analyzes how these factors affect household investment preferences. The research further investigates the role of digital financial adoption in shaping investment diversification and participation in modern financial instruments. The study adopts a descriptive and analytical research design based on a quantitative research approach. Primary data are proposed to be collected through a structured questionnaire from middle-class households in the Indore region. Secondary data are collected from research journals, books, RBI reports, financial publications, and academic databases. Statistical tools such as descriptive statistics, reliability analysis, correlation analysis, regression analysis, factor analysis, ANOVA, and hypothesis testing are proposed to analyze the collected data. The findings of the study are expected to reveal that digital finan…
creator: Shanu Shah, Yash Sharma, Dr. Vijaya Jain, Dr. Sushil Beliya
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-04
publication date: 2026-05-04
volume: 3
number: 2
starting page: 512
ending page: 525

उच्च शिक्षा के विद्यार्थियों में करियर निर्देशन एवं निर्णय क्षमता का अध्ययन
type: item
description: वर्तमान समय में उच्च शिक्षा प्राप्त कर रहे विद्यार्थियों के समक्ष करियर चयन एक महत्वपूर्ण चुनौती के रूप में उभरकर सामने आया है। उचित करियर निर्देशन के अभाव में अनेक विद्यार्थी अपने भविष्य संबंधी निर्णय लेने में कठिनाई अनुभव करते हैं। प्रस्तुत शोध-पत्र का उद्देश्य उच्च शिक्षा के विद्यार्थियों में करियर निर्देशन की भूमिका तथा उसकी निर्णय क्षमता पर प्रभाव का अध्ययन करना है। यह एक सैद्धांतिक अध्ययन है जिसमें द्वितीयक स्रोतों जैसे शोध-पत्रों, पुस्तकों एवं पत्रिकाओं का उपयोग किया गया है। अध्ययन से ज्ञात हुआ कि प्रभावी करियर निर्देशन विद्यार्थियों में आत्मविश्वास, निर्णय क्षमता तथा लक्ष्य निर्धारण की योग्यता को विकसित करता है। शोध के निष्कर्ष उच्च शिक्षा संस्थानों में व्यवस्थित करियर परामर्श सेवाओं की आवश्यकता को स्पष्ट करते हैं।
creator: डॉ. मदनलाल टेम्भरें
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-11
publication date: 2026-05-11
volume: 3
number: 2
starting page: 526
ending page: 536
doi: 10.65578/ijarmt.v3.i2.950

औपनिवेशिक भारत में महिला वं राष्ट्रवादी आंदोलन
type: item
description: भारत के स्वतंत्रता संग्राम में महिलाओं की भूमिका अत्यंत महत्वपूर्ण और निर्णायक रही है। ब्रिटिश औपनिवेशिक शासन से स्वतंत्रता प्राप्त करने के संघर्ष की दिशा को आकार देने में महिलाओं ने महत्वपूर्ण योगदान दिया। उन्नीसवीं शताब्दी के उत्तरार्ध से लेकर 1947 तक, भारत भर की महिलाओं ने प्रतिरोध के विभिन्न रूपों में भाग लिया, जिनमें राजनीतिक सक्रियता, क्रांतिकारी गतिविधियाँ और सामाजिक सुधार शामिल थे। यह शोध-पत्र महिलाओं की विविध भूमिकाओं की चर्चा करता है, जिनमें बेगम हजरत महल और भीकाजी कामा जैसी प्रारंभिक अग्रदूत महिलाओं के साथ-साथ सरोजिनी नायडू और कस्तूरबा गांधी जैसी अहिंसक आंदोलनों की प्रभावशाली हस्तियाँ भी सम्मिलित हैं। इसमें महिलाओं की क्रांतिकारी गतिविधियों में भागीदारी, असहयोग आंदोलन और सविनय अवज्ञा आंदोलन जैसे प्रमुख आंदोलनों में उनके नेतृत्व, तथा स्वतंत्रता के बाद भारत पर उनके स्थायी प्रभाव का विश्लेषण किया गया है। महिलाओं द्वारा निभाई गई इस महत्वपूर्ण भूमिका को उजागर करते हुए यह अध्ययन यह सिद्ध करता है कि राजनीतिक और सामाजिक दोनों क्षेत्रों में उनकी भागीदारी ने एक परिवर्तनकारी प्रभाव डाला, जिसने भारत की स्वतंत्रता-यात्रा और उसके बाद के विकास पर स्थायी विरासत छोड़ी।
creator: गीता
creator: डाॅ. यसपाल सिंह
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-07
publication date: 2026-05-07
volume: 3
number: 2
starting page: 549
ending page: 557

दौसा जिले में पंचायती राज व्यवस्था और ग्रामीण बुनियादी ढाँचे के विकास का विश्लेषण
type: item
description: यह अध्ययन “ग्रामीण विकास एवं पंचायती राज: राजस्थान के दौसा जिले की ग्राम पंचायतों का समाजशास्त्रीय अध्ययन” शीर्षक से किया गया है, जिसका उद्देश्य यह आकलन करना है कि पंचायती राज व्यवस्था ग्रामीण बुनियादी ढाँचे और समग्र ग्रामीण विकास को किस सीमा तक प्रभावित करती है। यह शोध वर्णनात्मक एवं विश्लेषणात्मक स्वरूप का है और इसमें दौसा जिले के बसवा तथा बांदीकुई पंचायत क्षेत्रों की 10 ग्राम पंचायतों से 200 उत्तरदाताओं का चयन उद्देश्यपूर्ण प्रतिदर्श तकनीक के माध्यम से किया गया। प्राथमिक आंकड़े संरचित प्रश्नावली और व्यक्तिगत साक्षात्कार द्वारा एकत्र किए गए, जबकि द्वितीयक आंकड़ों के लिए शोध-पत्रों, सरकारी प्रतिवेदनों, पंचायती राज मंत्रालय के दस्तावेजों और संबंधित साहित्य का उपयोग किया गया। अध्ययन में वर्णनात्मक सांख्यिकी, पियर्सन सहसंबंध, रैखिक प्रतिगमन तथा संरचनात्मक समीकरण मॉडलिंग जैसी विधियों का उपयोग करके पंचायती राज, ग्रामीण बुनियादी ढाँचा विकास, सामाजिक परिवर्तन, आर्थिक सशक्तिकरण और महिला सशक्तिकरण के बीच संबंधों का परीक्षण किया गया। अध्ययन के निष्कर्ष दर्शाते हैं कि पंचायती राज व्यवस्था ग्रामीण बुनियादी ढाँचे के विकास में सकारात्मक और सांख्यिकीय रूप से सार्थक योगदान देती है। रिग्रेशन विश्लेषण से यह स्पष्ट हुआ कि पंचायतों की सक्रिय भूमिका सड़क, जलापूर्ति, विद्युतीकरण, स्वच्छता और संचार जैसी आधारभूत सुविधाओं के विकास को गति प्रदान करती है। साथ ही, यह व्यवस्था सामाजिक समावेशन, आर्थिक आत्मनिर्भरता और महिला सशक्तिकरण को भी प्रोत्साहित करती है। अध्ययन यह निष्कर्ष प्रस्तुत करता है कि यदि पंचायतों को पर्याप्त वित्तीय, प्रशासनिक और संस्थागत समर्थन दिया जाए, तो वे ग्रामीण विकास के सबसे प्रभावी माध्यम बन सकती हैं। अंततः, यह शोध दौसा जिले के संदर्भ में पंचायती राज को ग्रामीण भारत में सतत, समावेशी और सहभागी विकास की एक सशक्त संस्था के रूप में स्थापित करता है।
creator: विवेक कुमार मीना, डॉ. एच. एन. व्यास
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
volume: 3
number: 2
starting page: 558
ending page: 567
doi: 10.65578/ijarmt.v3.i2.957

Ethical Considerations Of Euthanasia In The Bhagavad Gita
type: item
description: This paper explores the Bhagavad Gita, a revered holy book in Hindu philosophy, and its ethical considerations surrounding euthanasia. The deliberate taking of life to relieve suffering—euthanasia—presents difficult moral dilemmas in a variety of formal and social contexts. The Bhagavad Gita deeply integrates the concept of dharma, or obligation, with spiritual truths and moral principles. The book emphasizes how important it is to fulfil one's responsibilities and maintain a model lifestyle while also realizing that life is temporary and that death is inevitable. Euthanasia raises questions regarding the harmony between compassion, nonviolence (ahimsa), and the preservation of life in this particular situation. Analysing significant passages from the Bhagavad Gita provides insight into different perspectives on suffering, dying, and the moral implications of intervening in everyday life. The Bhagavad Gita's ethical reflections on euthanasia invite thoughtful analysis of the nuances of moral duty, the value of life, and the pursuit of liberation from the grip of human suffering. This paper emphasizes the relevance of ancient wisdom in addressing modern ethical conundrums involving end-of-life care and the decision to pass on.
creator: Dr Jayashree kuanr
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
volume: 3
number: 2
starting page: 568
ending page: 576

वराह पुराण का काल-निर्धारण
type: item
description: भारतीय धर्म तथा संस्कृति के स्वरूप को जानने के लिए पुराणों का अनुषीलन अत्यन्त आवश्यक है। पुराण भारतीय साहित्य का गौरव ग्रन्थ है। प्राचीनकाल से ही भारतवर्ष में पुराणों का पठन-पाठन एंव श्रवण मनन होता आया है। सामान्य भारतीय के हृदयतल में ज्ञान, भक्ति, श्रद्धा, वैराग्य, सदाचरण तथा धर्म-परायणता के उत्तम तत्त्वों का संस्कार पुराणों ने ही प्रतिष्ठित किया है। पुराणों के विषय में वेदव्यास ने तो स्कन्दपुराण में यहाँ तक कह दिया कि जो वेदों में नहीं देखा गया, जो स्मृतियों में भी नहीं देखा गया तथा जो दोनों में नहीं देखा गया, वे सब भी पुराणों में सन्निहित है।
creator: डाॅ॰ बबलू शर्मा
creator: मूर्ति
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-12
publication date: 2026-05-12
volume: 3
number: 2
starting page: 537
ending page: 542

A Deep Learning-Based Framework for Smart Home Energy Consumption Forecasting
type: item
description: The global transition toward sustainable energy systems and the proliferation of smart home technologies have made efficient energy management a critical objective. Central to this goal is the accurate forecasting of residential energy consumption, which empowers both consumers and utilities to optimize energy use, reduce costs, and enhance grid stability. This paper proposes a comprehensive, deep learning-based framework for energy consumption forecasting in smart homes, designed to overcome the inherent challenges of highly variable, non-linear, and privacy-sensitive data. The methodology involves a comparative analysis of established forecasting models, including traditional statistical methods like ARIMA and cutting-edge deep learning architectures such as Long Short-Term Memory (LSTM) and Convolutional Neural Network-LSTM (CNN-LSTM) hybrids. The framework incorporates a robust data pipeline, encompassing meticulous data preprocessing, domain-specific feature engineering, and rigorous model evaluation using a multi-metric approach. The analysis synthesizes findings from recent studies, demonstrating that advanced deep learning models consistently outperform traditional methods by effectively capturing complex temporal patterns and dependencies in energy usage data. The report also provides a nuanced examination of the trade-offs between model complexity, computational demands, and predictive accuracy, revealing that simpler models, such as K-Nearest Neighbors (KNN), can be a competitive and robust alternative in data-scarce environments. This research underscores the vital role of predictive analytics in enabling dynamic demand-side management and ensuring the effective integration of renewable energy sources. It also highlights the growing importance of privacy-preserving techniques like Federated Learning to foster a more secure and sustainable energy future.
creator: Aayush Sharma, Kishore S, Mohit Kumar Pathak, Dr. Ankita Awasthi
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-03
publication date: 2026-05-03
volume: 3
number: 2
starting page: 651
ending page: 661

Investigating Generative Artificial Intelligence Usage And Investment Performance Efficiency Among Retail Investors In Coimbatore District
type: item
description: This paper investigates the level of the Generative Artificial Intelligence (GenAI) application and its effect on the efficiency of retail investors investment performance in Coimbatore District. The research design will be descriptive and analytical and will be built on the primary data obtained in 200 individuals using a structured questionnaire. The results indicate that GenAI has got a massive adoption, especially among younger and technologically savvy investors who use these applications in the stock market analysis, portfolio management, financial news briefing, and making informed decisions. The findings suggest that a large share of investors thinks that they are performing better in their investments, primarily because they have better analytical tools, faster access to information they need, and fewer reliance on the old forms of advisory services. Nonetheless, the paper also emphasizes the fact that GenAI does not always guarantee higher financial returns because there were investors who did not see any significant increase or even decrease in its performance, which might be explained by the excessive use of AI, the lack of understanding, or the volatility of the markets. The discussion also indicates that GenAI represents a strong decision-support system; however, its performance is highly reliant on the user knowledge, experience as well as strategic implementation. On the whole, the research adds to the existing knowledge about the changing role of the AI in retail investment behavior and the necessity to balance the use of the technological tools with effective financial decision-making in terms of achieving the best possible investment results.
creator: G.Flora Shantha Kumari, Dr. P. S. Selva Tharangini
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-03
publication date: 2026-05-03
volume: 3
number: 2
starting page: 662
ending page: 670

An Efficient Deep Learning Framework for ECG and EEG Signal Classification in Embedded Healthcare Systems
type: item
description: Biomedical signal classification has become an important area of research in modern healthcare because ECG and EEG signals provide valuable information about the functional condition of the heart and the brain. ECG signals are widely used for detecting arrhythmia, abnormal heartbeat, myocardial infarction, and other cardiovascular disorders, while EEG signals are useful for identifying epileptic seizures, brain activity patterns, sleep disorders, and neurological abnormalities. However, manual interpretation of ECG and EEG signals is difficult, time-consuming, and dependent on expert knowledge because these signals are nonlinear, time-varying, and affected by noise and artifacts. To overcome these limitations, this paper presents an efficient deep learning framework for ECG and EEG signal classification in embedded healthcare systems. The proposed framework focuses on automated signal preprocessing, feature learning, classification, and embedded deployment. Deep learning models such as CNN, RNN, LSTM, and hybrid CNN-LSTM are suitable for learning spatial and temporal patterns from biomedical signals. CNN models can extract important waveform features, while LSTM models can learn time-based dependencies in sequential ECG and EEG data. The framework also emphasizes lightweight model design, model optimization, quantization, and pruning so that the trained model can be deployed on embedded healthcare devices with limited memory, processing power, and battery capacity. Integration with wearable ECG and EEG systems, IoT-based healthcare platforms, and edge computing can enable real-time monitoring, faster diagnosis, and immediate alert generation in critical conditions such as arrhythmia and epileptic seizure. This study highlights that deep learning-based ECG and EEG classification can support smart healthcare, remote patient monitoring, telemedicine, and preventive diagnosis. The proposed approach can assist healthcare professionals by reducing manual workload, improvi…
creator: Rupender Kataria
creator: Dr. Anjali Khokhar
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-05
publication date: 2026-05-05
volume: 3
number: 2
starting page: 577
ending page: 590

Historical Evolution And Cultural Identity Of The Mankirdias Tribe: A Socio-Anthropological Study
type: item
description: This present study attempts to explore the history, socio-cultural characteristics and the cultural identity of the Mankirdias tribe from a socio-anthropological perspective. The Mankirdias are a PVTG in Odisha and have a unique cultural heritage characterized by forest culture, occupations, belief systems and social practices. The tribe relies on the environment for survival, making use of the forests and the animals, with particular focus on monkey catching, hunting, gathering, and rope making, which has led to a distinctive social structure and cultural identity. The study explores their history, social structure, kinship system, marriage practices, language, traditional stories, beliefs, music, dance, economy and traditional lifestyle. It also delves into the effects of modernization, migration, deforestation, educational backwardness, health problems, and social isolation on the tribal community. It shows that while modernization has opened up avenues for education, employment, and social mobility, it has also led to a decrease in traditional professions and a decline in indigenous knowledge systems, and loss of cultural identity. However, the Mankirdias have been able to maintain an important part of their traditions, rituals, and community values. The study highlights the importance of sustainable development policies, cultural preservation efforts, educational inclusion, healthcare enhancement, and the protection of tribal rights, all of which contribute to the socio-economic development and cultural sustainability of the Mankirdias tribe.
creator: Raimani Marndi
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-03
publication date: 2026-05-03
volume: 3
number: 2
starting page: 591
ending page: 600

Impact of british colonial rule on agrarian relations in north odisha during the nineteenth and twentieth centuries
type: item
description: The agrarian structure of north Odisha has witnessed a number of changes during the 19th and 20th centuries owing to the colonization of the region by the Britishers. Before the period of colonization, the agrarian economy of the north Odisha region operated through the traditional systems of land ownership, community-based farming practices, and dependence of tribals on forest and nature. The setting up of British rule in the region has led to a number of land revenue policies that resulted in strengthening the role of zamindars and made land a source of private taxable property. This resulted in the weakening of the existing agrarian organizations, indebtedness of the peasantry, and alienation of land. The forest policy followed by the British further aggravated the position of the tribes by limiting their access to forest and practicing shifting cultivation. This exploitative system of agrarian relations created conditions of poverty, inequality, and uncertainty for the villagers, especially during the period of famine and agricultural depression. Gradually, agrarian unrest was integrated into the national struggle of India and played an important role in developing rural political awareness in the region of Odisha. The research explores how the British colonization affected agrarian relations in the North Odisha region.
creator: Ms. Rina marndi
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-03
publication date: 2026-05-03
volume: 3
number: 2
starting page: 601
ending page: 609

PORTRAYAL OF MOTHERHOOD IN MODERN LITERATURE
type: item
description: Motherhood has long occupied a privileged place in literary imagination. It has been represented as tenderness, sacrifice, origin, moral authority and emotional continuity, yet modern literature repeatedly questions the simplicity of such representations. This thesis, titled Portrayal of Motherhood in Modern Literature, examines the changing image of the mother in selected modern literary texts and argues that motherhood is not merely a biological function or sentimental ideal but a complex social, cultural and psychological construct. The major finding of the study is that modern literature transforms the mother from an idealized figure into a more complex and human subject. Modern texts do not simply reject motherhood; rather, they challenge the ideological uses of motherhood that demand silence, obedience and self-erasure from women. The mother in modern literature becomes a site where love and power, body and culture, freedom and duty, memory and trauma are brought into conflict. By reading motherhood through feminist and psychoanalytic frameworks, the thesis contributes to a deeper understanding of women's representation in modern literature and highlights the continuing importance of maternal identity in literary and cultural studies.
creator: Kanaka Tiwari, Dr. Deepika Agrawal
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
volume: 3
number: 2
starting page: 610
ending page: 617

A Study of Birla Mandir, Bhopal
type: item
description: Religious architecture has always occupied a special place in Indian social and political life. Temples, stupas, mosques, churches, gurudwaras and sacred complexes are not only places of worship; they are also visible expressions of identity, memory, moral order and public culture. In India, the built form of religion has repeatedly interacted with political authority, community organization and ideas of legitimacy. This thesis examines that relationship through a case study of Birla Mandir, Bhopal, popularly known as Lakshmi Narayan Temple. The main argument of the study is that Birla Mandir is not merely a devotional structure but also a symbolic public space. It represents a form of cultural identity that connects religion, philanthropy, urban memory, tourism, public rituals and political culture. The study uses historical, descriptive and analytical methods. It draws on theories of political culture, symbolic politics, secularism, cultural nationalism and the social meaning of architecture. The thesis concludes that religious architecture can contribute to cultural integration and civic participation when it remains open, ethical and socially inclusive; however, it can also become politically contested if reduced to a narrow instrument of mobilization.
creator: Ayush Kanojiya, Dr. Kiran Dwivedi
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
volume: 3
number: 2
starting page: 618
ending page: 624

Image-Based Deep Learning Approach for Crop Disease Detection: A Schematic Review
type: item
description: Crop diseases significantly affect agricultural productivity, food quality, and economic stability worldwide. Early and accurate detection of plant diseases is essential for reducing crop losses and improving agricultural sustainability. Traditional disease identification methods mainly rely on manual inspection by agricultural experts, which is time-consuming, labor-intensive, and often inaccurate under large-scale farming conditions. In recent years, image-based deep learning techniques have emerged as powerful tools for automated crop disease detection due to their high accuracy, feature extraction capability, and real-time analysis performance. This schematic review presents a comprehensive overview of image-based deep learning approaches used for crop disease detection and classification. The study discusses various deep learning architectures, including Convolutional Neural Networks (CNN), Transfer Learning models, Recurrent Neural Networks (RNN), and hybrid deep learning frameworks applied to plant disease identification using leaf images. The review also highlights different stages involved in disease detection such as image acquisition, preprocessing, segmentation, feature extraction, classification, and performance evaluation. Publicly available datasets, data augmentation techniques, and evaluation metrics such as accuracy, precision, recall, and F1-score are also analyzed. Furthermore, the paper discusses the advantages, limitations, and challenges associated with deep learning-based crop disease detection systems, including dataset imbalance, environmental variations, computational complexity, and real-time deployment issues. The study concludes that image-based deep learning approaches have significant potential for developing intelligent and automated agricultural monitoring systems capable of improving crop health management and sustainable farming practices.
creator: Rishabh Verma, Dr. Deepak Soni
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-14
publication date: 2026-05-14
volume: 3
number: 2
starting page: 625
ending page: 634

इतिहासलेखन में राव तुलारामः औपनिवेशिक और राष्ट्रवादी दृष्टिकोण का तुलनात्मक अध्ययन
type: item
description: यह विस्तृत शोध-पत्र 1857 के विद्रोह के संदर्भ में राव तुलाराम के इतिहासलेखन का गहन एवं आलोचनात्मक विश्लेषण प्रस्तुत करता है। अध्ययन का मुख्य उद्देश्य यह समझना है कि औपनिवेशिक और राष्ट्रवादी इतिहासकारों द्वारा एक ही ऐतिहासिक व्यक्तित्व को किस प्रकार भिन्न-भिन्न दृष्टिकोणों से प्रस्तुत किया गया है। औपनिवेशिक लेखन में राव तुलाराम को एक क्षेत्रीय विद्रोही और अस्थिरता उत्पन्न करने वाले नेता के रूप में चित्रित किया गया, जबकि राष्ट्रवादी इतिहासकारों ने उन्हें एक वीर, दूरदर्शी और राष्ट्रभक्त नेता के रूप में स्थापित किया। यह शोध इन दोनों दृष्टिकोणों के वैचारिक आधार, स्रोतों के उपयोग, और उनके राजनीतिक उद्देश्यों का विश्लेषण करते हुए यह तर्क प्रस्तुत करता है कि एक संतुलित इतिहासलेखन के लिए बहु-स्रोत और आलोचनात्मक दृष्टिकोण आवश्यक है।
creator: परवीन
creator: डाॅ. यसपाल सिंह
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-22
publication date: 2026-05-22
volume: 3
number: 2
starting page: 635
ending page: 638

Political Dimensions of Regionalism and Pathways Toward Inclusive Development
type: item
description: Regionalism has become a significant political, social and economic phenomenon affecting governance and development all over the world. It is associated with the aspirations of regions regarding their representation, culture, economic development, and autonomous administration. The present review paper discusses the political dimension of regionalism and its relationship with inclusive development in the international as well as in Indian scenario. The current research explores various dimensions of regionalism like political regionalism, economic regionalism, cultural regionalism, cooperative regionalism, competitive regionalism, separatist regionalism and developmental regionalism. Furthermore, different theories such as Federalism Theory, Identity Politics Theory, Dependency Theory, Decentralization Theory, and New Regionalism Theory are discussed in the research. The research also highlights the historical evolution of regionalism in various regions of the world like Europe, Africa, Latin America, South Asia, and India with respect to linguistic identity, sub-nationalism, regional parties, and demand for autonomy. It is essential to discuss the concept of inclusive development and its importance through social justice approach, human development perspective and participatory governance strategy. Literature findings reveal that regionalism could contribute to balanced regional growth, decentralization and social inclusion in the process of development when it is governed in an effective manner through sound policies. On the other hand, extreme regionalism could lead to challenges like separatism and political fragmentation.
creator: Ruwad Tangar Appun Gam
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
volume: 3
number: 2
starting page: 639
ending page: 650

रोहतक नगर में पेय जल संकट: एक विष्लेषणात्मक अध्ययन
type: item
description: तेजी से बढ़ता शहर जब पानी के लिए जूझने लगे, तब समस्या केवल जल की नहीं, बल्कि व्यवस्था की बन जाती है। यह अध्ययन हरियाणा के रोहतक नगर में जल-अभाव की वास्तविक स्थिति को समझने का प्रयास करता है। शोध पूर्णतः द्वितीयक आँकड़ों पर आधारित है, जिसमें जनसंख्या वृद्धि, जल आपूर्ति क्षमता, प्रति व्यक्ति जल उपलब्धता तथा आपूर्ति-माँग अंतर का विश्लेषण किया गया है। शोध परिणाम दर्शाते हैं कि यद्यपि नगर में स्थापित जल आपूर्ति क्षमता संख्यात्मक रूप से पर्याप्त प्रतीत होती है, फिर भी वितरण हानि, नहर आधारित निर्भरता, शहरी विस्तार और भू-जल की खराब गुणवत्ता के कारण कार्यात्मक जल-अभाव बना हुआ है।
creator: पूनम
creator: डाॅ. कपूर सिंह
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-20
publication date: 2026-05-20
volume: 3
number: 2
starting page: 671
ending page: 685

“Development and Characterization of Polyphenol-Loaded Chitosan Nanoparticles from Coffea arabica and Evaluation of Antioxidant Activity”
type: item
description: Polyphenol nanocarriers from Coffea arabica were processed byionotropic gelation with chitosan to enhance natural polyphenol's therapeutic efficacy. Hydroalcoholic extract Hydroalcoholic extraction was performed and total phenolic content of the extract was found to be 185 mg GAE/g supplement, thus high amount of active phenolic contents were present in the extracts (Folin-Ciocalteu method). Chitosan nanoparticles were fabricated using the ionotropic gelation technique with chitosan and sodium tripolyphosphate (TPP). We designed three different formulations (F1-F3) according to the concentration of the polymers and the cross-linkers. The developed nanoparticles were characterized for entrapment efficiency, particle size, polydispersity index and zeta potential. The entrapped efficiency increased from 72% to 81% in the case of F3 where the maximum encapsulated efficiency was noted. In the optimized formulation, there is a reduction in particle size from 178 nm to 128 nm with higher uniformity and stability. The alysis showed a biphasic nature with sustained release characteristics as long as 24 hours, as seen with the in-vitro release profile. DPPH radical scavenging activity demonstrated that the nanoformulation exhibited higher antioxidant activity than the crude extract, with maximal inhibition at 94.7%. The data clearly elaborates about the effectiveness of nanoencapsulation in improving Coffea arabica polyphenols physicochemical properties as well as antioxidant potential. The nanoformulation prepared can be considered as a new modality to enhance the functional delivery of natural bioactive compounds.
creator: Anil Kumar
creator: Dr. Arpna
creator: Dr. Sunil Kumar Jangra
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-21
publication date: 2026-05-21
volume: 3
number: 2
starting page: 686
ending page: 696

An Analytical Study Of Facial Expression Recognition Using Convolutional Neural Networks For Enhanced Classification Accuracy
type: item
description: Facial Expression Recognition (FER) has become an important field in artificial intelligence and computer vision because of its various applications in intelligent systems, security, healthcare and human–computer interaction (HCI). A quantitative analytical approach was used with facial image datasets which had emotional categories such as Happy, Sad, Angry, Surprise, Fear, Disgust and Neutral. The study comprised steps such as image preprocessing, developing CNN model, evaluating the model and implementation of optimization techniques. Results showed that the proposed CNN model gives maximum accuracy while training (97.2%), while validation (95.8%) and testing (95.1%) accuracy were the highest, which means that it has a better recognition ability. The results from the expression-wise analysis revealed that highest accuracy of recognition was obtained for Happy and Surprise expression while comparatively lower recognition rate was obtained in Fear and Disgust. The results also showed that feature extraction methods, data quality, and optimization techniques like transfer learning and data augmentation greatly improved the classification results. The results of the study show that the optimized CNN based approaches can be used to recognize facial expression with better classification accuracy with an efficient and reliable solution.
creator: Dave Nikhil Yogeshbhai, Dr. Sankarsan Panda
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
volume: 3
number: 2
starting page: 697
ending page: 708

Educational Discontinuity Among Displaced Adolescent Girls In Manipur
type: item
description: The issue of educational discontinuity is now one of the biggest humanitarian and educational challenges in the conflict affected areas of Manipur with regard to adolescent girls. This is the first study to look at how displacement affects the continuity in education, participation in schooling, and access to learning materials for adolescent girls in relief camps and temporary shelters. The research design that was used for the study was mixed methods – descriptive and exploratory research with both primary and secondary data sources. Structured questionnaires and semi-structured interviews were used to gather primary data from the following groups: displaced adolescent girls, teachers, NGO workers and parents. The study indicated that conflict-induced displacement had a significant impact on school attendance, attendance at examinations, study time, and access to learning materials. The most significant drivers of educational interruption of girls in the context of displacement were found to be economic hardship, psychological trauma, insecurity and insufficient education infrastructure. The study also found that higher rates of conflict intensity were associated with higher dropouts and irregular attendance rates, when compared with districts with lower conflict intensity. Lack of adequate digital access, limited counselling services, and gender insensitivity of educational facilities in relief camps further exacerbated educational exclusion. The study showed that temporary learning facilities, psychosocial support, financial assistance, digital inclusion, and inclusive educational rehabilitation policies are needed to ensure uninterrupted education for adolescent girls who are displaced. The study highlighted that continuity of education is crucial to empower, socially include and promote long-term development of displaced adolescent girls in Manipur.
creator: Maibam Donna Devi, Dr. Reena Laitonjam
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
volume: 3
number: 2
starting page: 709
ending page: 719

Analytical Study Of Secondary Metabolites In Medicinal Plant Species
type: item
description: Biologically active chemicals with important therapeutic and pharmacological characteristics can be found in medicinal plants. This study set out to examine the secondary metabolites found in a number of medicinal plant species, such as Withania somnifera (Ashwagandha), Curcuma longa (Turmeric), Aloe vera, Azadirachta indica (Neem), and Ocimum sanctum (Tulsi). Various secondary metabolites, including alkaloids, flavonoids, tannins, phenols, terpenoids, saponins, glycosides, and steroids, were identified using qualitative and quantitative phytochemical investigations that utilised standard analytical and spectrophotometric procedures. The findings showed that various plant species have significantly varied metabolite compositions. Withania somnifera revealed a greater alkaloid content linked with key therapeutic activity, while Curcuma longa showed the highest concentration of phenols and flavonoids, indicating considerable antioxidant potential. Medical plants, according to the research, include a wide variety of phytochemical components that have antibacterial, antioxidant, anti-inflammatory, and therapeutic consequences. In addition to demonstrating the significance of medicinal plants as natural sources for pharmaceutical and therapeutic uses, the results provide scientific backing for their traditional use.
creator: Dr. Rajesh kumar patel
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
volume: 3
number: 2
starting page: 720
ending page: 728

Optimization Accuracy of Distributed Denial of Service Attacks in Cybersecurity based on Machine Learning
type: item
description: Distributed Denial of Service (DDoS) attacks remain one of the most disruptive threats in modern cybersecurity, causing severe service outages and financial losses across networked systems. This study presents an optimized machine learning-based framework for the accurate detection and classification of DDoS attacks using four widely adopted algorithms: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), and Extreme Gradient Boosting (XGBoost). The proposed approach emphasizes improving detection accuracy through effective data preprocessing, feature selection, and model tuning techniques. A benchmark network traffic dataset is utilized, where features are normalized and transformed to enhance model performance. Comparative analysis is conducted using key evaluation metrics, including training accuracy, testing accuracy, precision, and recall, to ensure robust and unbiased assessment. Experimental results demonstrate that ensemble-based models, particularly Random Forest and XGBoost, significantly outperform traditional methods such as Logistic Regression and Decision Tree in terms of accuracy and generalization capability. Among all models, XGBoost achieves the highest detection accuracy with improved precision and recall, indicating its effectiveness in handling complex and imbalanced traffic patterns. The findings highlight the importance of optimized machine learning techniques in strengthening intrusion detection systems and mitigating DDoS threats in real-time environments. This research contributes to the development of intelligent, scalable, and efficient cybersecurity solutions capable of enhancing network resilience against evolving attack vectors.
creator: Geeta Singh, Mr. Sudhir Goswami
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
volume: 3
number: 2
starting page: 729
ending page: 739

ग्रामीण हरियाणा से शहरी क्षेत्रों की ओर प्रवासन और सामाजिक-आर्थिक परिवर्तनः एक ऐतिहासिक अध्ययन
type: item
description: हरियाणा राज्य की स्थापना 1 नवम्बर 1966 को हुई। राज्य गठन के समय इसकी सामाजिक और आर्थिक संरचना मुख्यतः ग्रामीण तथा कृषि-आधारित थी। हरित क्रांति, सिंचाई सुविधाओं का विस्तार, उच्च उपज वाले बीजों का प्रयोग, कृषि यंत्रीकरण, सड़क एवं विद्युत सुविधाओं का विकास और राष्ट्रीय राजधानी दिल्ली से निकटता ने हरियाणा की अर्थव्यवस्था को नई दिशा प्रदान की। कृषि उत्पादन में वृद्धि के साथ-साथ उद्योग, परिवहन, व्यापार, निर्माण और सेवा क्षेत्रों का विस्तार हुआ। इस बदलती आर्थिक संरचना ने ग्रामीण जनसंख्या, विशेषकर भूमिहीन श्रमिकों, छोटे किसानों, शिक्षित युवाओं और रोजगार की तलाश करने वाले परिवारों को शहरी क्षेत्रों की ओर आकर्षित किया। 1966 से 2000 तक ग्रामीण हरियाणा से शहरों की ओर प्रवासन केवल रोजगार की खोज तक सीमित नहीं रहा, बल्कि इसने ग्रामीण समाज के पारिवारिक संबंधों, कृषि व्यवस्था, आय-स्रोतों, महिलाओं की भूमिका, शिक्षा संबंधी आकांक्षाओं, उपभोग-व्यवहार और सामाजिक गतिशीलता को भी प्रभावित किया। 1991 की जनगणना के अनुसार हरियाणा की कुल जनसंख्या में ग्रामीण जनसंख्या 75.37 प्रतिशत थी, जबकि शहरी जनसंख्या लगभग 24.63 प्रतिशत थी। 1999-2000 के हरियाणा आर्थिक सर्वेक्षण में स्पष्ट किया गया कि राज्य की अर्थव्यवस्था में प्राथमिक क्षेत्र का हिस्सा घट रहा था, जबकि विनिर्माण और सेवा क्षेत्रों का योगदान बढ़ रहा था। यही आर्थिक परिवर्तन ग्रामीण से शहरी प्रवासन की ऐतिहासिक पृष्ठभूमि तैयार करता है। यह शोध-पत्र 1966 से 2000 तक की अवधि में ग्रामीण हरियाणा से शहरी क्षेत्रों की ओर प्रवासन के कारणों, स्वरूप, सामाजिक-आर्थिक प्रभावों और नीतिगत प्रयासों का ऐतिहासिक विश्लेषण प्रस्तुत करता है।
creator: सन्तरो कुमारी
creator: डॉ. राजबीर सिंह गुलिया
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-23
publication date: 2026-05-23
volume: 3
number: 2
starting page: 740
ending page: 748

Adjustment of Secondary School Students in Relation to Gender and Types of School
type: item
description: The present study investigates the adjustment of secondary school students in relation to gender and type of school. Adjustment is an important aspect of adolescent development as it influences emotional stability, social relationships, educational performance, and overall personality development. The study aimed to compare emotional, social, educational, and overall adjustment among male and female students as well as government and private school students. The descriptive survey method was employed for conducting the study. A sample of 400 secondary school students from Haryana state was selected through random sampling technique, including students from both government and private schools. The Adjustment Inventory developed by Sinha and Singh (2022 Rewised) was used for collecting data. Statistical techniques such as mean, standard deviation, and t-test were applied for data analysis. The findings of the study revealed that no significant differences existed between male and female students and between government and private school students in emotional, social, and overall adjustment. However, significant differences were found in educational adjustment. Female students were better adjusted educationally than male students, and private school students demonstrated better educational adjustment than government school students. The study highlights the importance of providing supportive educational environments and guidance services to improve adjustment among adolescents.
creator: Monika, Dr. Jitender Kumar
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-24
publication date: 2026-05-24
volume: 3
number: 2
starting page: 749
ending page: 756

A bibliometric analysis on training, effectiveness and efficiency
type: item
description: This study presents a bibliometric analysis of academic research on training, effectiveness, and efficiency. The study examines literature obtained from major academic databases such as Scopus and Web of Science, using keywords including “training,” “effectiveness,” “efficiency,” “training effectiveness,” and “training efficiency.” The main objective of the study is to understand how training programs influence employee knowledge, skills, work efficiency, productivity, and overall organizational performance. The reviewed literature indicates that effective training plays a significant role in improving employee motivation, commitment, performance, and long-term organizational success. The bibliometric results show a noticeable increase in publications after 2020, reflecting growing academic interest in digital learning, technological advancement, artificial intelligence, and performance-based training evaluation. Country-wise analysis highlights the United States, China, and India as major contributors to this research area. The document type analysis shows that journal articles are the dominant medium of scholarly communication, followed by conference papers and review articles. The study also reveals that training effectiveness and efficiency are no longer limited to human resource management, but have expanded into education, healthcare, technology, sustainability, and organizational studies. Overall, this study maps the growth, publication trends, major contributors, research domains, and future directions of training-related research.
creator: Tamanna Arya
rights: Copyright (c) 2026 International Journal of Advanced Research and Multidisciplinary Trends (IJARMT) https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-21
publication date: 2026-05-21
volume: 3
number: 2
starting page: 757
ending page: 765