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683 articles for “study resource”
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An analytical study on effectiveness of E-learning
Abstract: E-learning has increasingly established itself as a vital mode of education in the digital era, where information is widely accessible. This study provides an analytical perspective on the effectiveness of e-learning practices across diverse academic and professional settings. Drawing upon a broad body of literature, the paper examines how e-learning influences learner engagement, knowledge retention, skill development, and overall academic performance. Key factors shaping its effectiveness—such as instructional design, technological …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 108–115 Read article
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Implementation of Anticipating Rainfall Using Machine Learning
Abstract: Rainfall forecasting is crucial for many aspects of our national economy and should help prevent major seasonal droughts. Since agriculture is a beloved profession in many states, some Asian countries are economically hooked to decline. Previous precipitation info is beneficial. Farmers are cancerous in managing their crops, resulting in economic progress for the country. downfall prediction is hard for earth science scientists because of unordering time and unordered quantity of …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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Enhancing Irrigation Efficiency through Machine Learning and IoT Integration
Abstract: This study provides an integrated approach to enhance irrigation systems by fusing machine learning (ML) with Internet of Things (IoT) technologies. Agriculture is a major contributor to India’s economy, which is referred to as the backbone of the country. However, its production is highly dependent on several environmental and agronomic factors, with water being a critical resource. Irrigation consumes about 84% of the total available water in India; however, a …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 17–22 Read article
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A Review of Brief Study on Nyctanthes arbor-tristis
Abstract: Nyctanthes arbor-tristis, commonly called Parijat or Night-Flowering Jasmine, is a medicinal shrub with significant therapeutic value. This article provides a detailed examination of the plant’s pharmacological effects, traditional applications, phytochemical composition, and botanical features, along with its potential for therapeutic use. Known for its longstanding role in Ayurvedic and other traditional medical practices, Nyctanthes arbor-tristis has been traditionally used to treat a wide range of ailments, with recent studies confirming …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 2, 2025 · pp. 24–30 Read article
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Perception and Implementation of Sports Safety Measures Among University Physical Education Instructors in Punjab: A Cross-Sectional Study
Abstract: Introduction: Considerable attention must be focused on sports safety as it is a constituent of thephysical education (PE) curriculum at the university level, in view of the frequent and vigorous engagement in physical activities. While there is general acknowledgement of the existence of safetymeasures, the extent to which such measures are put into practice may differ. This research examines the perceptions and practices related to sports safety of university PE …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 45–55 Read article
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The Evolution of Asthma Management: A Comprehensive Analysis of GINA 2024 Guidelines, Endotype-Driven Diagnosis, and Targeted Biologic Intervention
Abstract: Asthma remains a substantial global public health challenge, characterized by heterogeneous airway inflammation leading to variable airflow obstruction. Recent advances in personalized medicine and guideline revisions, notably the Global Initiative for Asthma (GINA) 2024 update, mandate a profound paradigm shift from reliance on short-acting beta2-agonists (SABA) to antiinflammatory reliever (AIR) strategies utilizing inhaled corticosteroid (ICS)-formoterol. This report provides an exhaustive analysis of current asthma epidemiology, molecular pathogenesis distinguishing between Type …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 Read article
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Cloud Enabled Machine Learning Framework for Medicine System
Abstract: The Medicine Generic App is a cutting-edge mobile application designed to empower users with information about generic medications. Given the rising expenses of healthcare and prescription medications, this app acts as a useful resource for consumers to make informed decisions regarding their medication options. The Medicine Generic App aims to promote generic drug usage, reduce healthcare costs, and improve medication management for users. By providing detailed information and price transparency, …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Leveraging IoT for Real-Time Disaster Management: Enhancing Preparedness and Response Through Smart Monitoring
Abstract: Natural disasters, including floods, earthquakes, and wildfires, pose risks to human life, infrastructure, and the environment. Many of the technological innovations are there, but in managing such disasters, there still is room for inefficiencies resulting from communication delay, unavailability of real-time data, and poor coordination at times. The inefficiencies lead to response times that are too long, inappropriate allocation of resources, and increased vulnerability to the impacts of disasters. Integration …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 11–17 Read article
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Advancements in Agricultural Forecasting: A Review of Machine Learning Based Crop Yield Prediction
Abstract: Agricultural productivity plays a critical role in global food security, and accurate crop yield prediction is essential for optimizing resource allocation and decision-making in farming. The rapid advancements in Machine Learning (ML) and Deep Learning(DL)have transformed agricultural forecasting, enabling data-driven approaches for crop prediction. This review paper provides a comprehensive analysis of various ML and DL techniques applied in crop yield forecast, highlighting the ineffectiveness, challenges, and future directions. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 32–38 Read article
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Qualitative and Quantitative Assessment of Water Resources at Moradabad District (UP), India
Abstract: Moradabad district houses several medium and small-scale industrial units: such as alloy manufacturing, chrome plating, electroplating, and metal extraction from e-waste. The city is known for its export of brass handicrafts to various countries across the world including North America and Europe and is popularly known as Peetal Nagri (Brass City). Heavy metals like lead, copper, arsenic and iron used in alloy manufacturing and nickel and chromium used in plating …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article
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Mindwell: A Psychological Guide for Well-being
Abstract: Mental health is a crucial aspect of overall well-being, yet access to professional therapy remains a significant challenge for many individuals due to various barriers, including cost, availability, and stigma. This research aims to develop an accessible and effective mental health therapy chatbot, named Mindwell Psychology, leveraging the power of large language models (LLMs) and state-of-the-art natural language processing techniques. The primary objective of this study is to create a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 63–77 Read article
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Thermodynamic Analysis and Slow Pyrolysis Product Characterization are Used to Assess Rice Straw for Bio-char Production
Abstract: This work explores the viability of using slow pyrolysis to produce bio-char using rice straw as a feedstock. The objective is to characterize the resulting bio char and analyse the thermodynamic processes involved in its formation. Rice straw, an abundant agricultural residue, was subjected to slow pyrolysis under controlled conditions. The produced bio char was characterized using various analytical techniques, including scanning electron microscopy, elemental analysis, and surface area measurements. …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 26–29 Read article
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Knowledge, Attitude, and Practice Regarding Breast Cancer and Its Prevention Among Adolescent School-Going Girls
Abstract: Introduction: Breast cancer claims the lives of over 500,000 women globally each year. In low-resource settings, most women are diagnosed at an advanced stage of the disease, resulting in low 5-year survival rates, typically ranging between 10 and 40%. However, in regions where early detection and basic treatment are both available and accessible, the 5-year survival rate for early-stage localized breast cancer can exceed 80%. Objectives of the Study: The …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article
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An Empirical Analysis of Cost, Time, and Quality Relationships Using Correlation and Regression Techniques
Abstract: Cost, time, and quality have been recognized as the three key dimensions that determine construction project performance and are commonly represented through the "Project Management Triangle." However, despite their theoretical linkage, there is limited empirical evidence to quantify the nature of their relationships, particularly within developing construction markets. This paper seeks to contribute to addressing this shortfall by investigating the specific influence of cost and schedule variations upon quality outcomes …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 52–60 Read article
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Status and Distribution of Major Invasive Plant Species in the Dehradun Region of the Uttarakhand Himalaya
Abstract: Invasive alien plant species are widely recognized as one of the major threats to global biodiversity and ecosystem stability. Their rapid spread and ability to adapt to different environmental conditions allow them to dominate natural habitats and disrupt ecological balance. The present study examines the status and distribution of major invasive plant species in the Dehradun region of Uttarakhand, which is situated in the Himalayan foothills of northern India. Field …
Published in International Journal of Trends in Horticulture · Vol. 3, Issue 1, 2026 · pp. 17–23 Read article
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Homeopathy: A Comprehensive Review of Efficacy, Mechanisms, and Controversies
Abstract: Homeopathy is a widely used alternative medical system based on principles established by Samuel Hahnemann, including “like cures like” and potentization Despite its popularity, homeopathy remains controversial due to the highly diluted nature of its remedies, which often contain no detectable molecules of the original substance. This article provides a comprehensive review of the clinical efficacy, proposed mechanisms, and ongoing controversies surrounding homeopathy Clinical studies yield mixed results, with some …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 1, 2025 · pp. 25–32 Read article
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Impact of Self-Help Groups (SHGs) on Sustainable Livelihood Development in Rural Uttarakhand: A Study on the Influence of DAY-NRLM in Income Generation and Community Empowerment
Abstract: Self-Help Groups (SHGs) have emerged as a vital mechanism for fostering sustainable livelihoods in Uttarakhand, a region challenged by poverty, migration, and unemployment. This study examines the role of SHGs in expanding livelihood programs and empowering members, particularly in income generation, while highlighting the importance of group-based approaches for vulnerable communities like small farmers and craftsmen. Data collection for the study involved a questionnaire targeting 288 respondents across 100 SHGs …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 46–54 Read article
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Experimental Analysis and Design Proposal of Banana Fiber Reinforced Polymer Composites and Computer Analysis
Abstract: This study presents a comprehensive experimental investigation and design model development using banana fiber reinforced polymer (BFRP) composites. The primary aim is to evaluate the mechanical and physical performance of the composite, with particular emphasis on tensile strength, flexural strength, and water absorption characteristics. These properties are critical for applications in industries such as transportation and construction, where durability, lightweight materials, and cost-effectiveness are essential. Banana fibers, being natural, renewable, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 901–907 Read article
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Strategic Integration of Machine Learning in Polymer Composite Development: A Framework for R&D Portfolio Management and Technological Adoption
Abstract: The progress of advanced polymer composites is slow, costly and unpredictable due to traditional methods of trial-and-error research. As materials informatics and data-driven modeling speed up the process of discovering technology, there exists a huge disconnect between computational predictions on one hand and strategic decision-making on the other in research and development (R&D). To solve this issue, this paper presents the Agile Materials-Intelligence (AMI) Framework, a systematic combined methodology that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1272–2286 Read article