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541 articles for “evaluate” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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An Analytical study of Government Scheme for Farmers in Gujarat: Impact, Implementation Challenges, and Policy Implications
Abstract: Gujarat’s economy is mostly dependent on agriculture, which increases food security, rural employment, and state revenue. Despite the state’s notable progress in irrigation infrastructure and agricultural commercialization, Gujarat farmers continue to face challenges, such as market volatility, water scarcity, unpredictable weather, and rising input costs. The governments of Gujarat and India have implemented several initiatives aimed at addressing these problems, including crop insurance, irrigation expansion, farm mechanization, income support, digital …
Published in International Journal of Rural and Regional Development · Vol. 4, Issue 1, 2026 · pp. 38–44 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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The Role of English Language in Communication: Multidisciplinary Perspectives
Abstract: The English language performs an essential role in communication, serving as the universal medium through which people exchange data, express feelings, and build relationships. This research explores the importance of language in communication, examining its role in human interactions, the dynamics of effective communication, and the socio-cultural impact of language. Communication is a skill that involves a systematic and continuous process of speaking, listening, and understanding. We are also taught …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Green Finance and India’s Climate Commitments: Aligning Financial Systems with Sustainable Development Goals
Abstract: India’s commitment to addressing climate change, as reflected in its Nationally Determined Contributions (NDCs), net-zero ambitions, and alignment with the United Nations Sustainable Development Goals (SDGs), has placed green finance at the center of the country’s sustainable development agenda. Green finance involves directing capital and investment flows toward projects and initiatives that are environmentally sustainable. It supports efforts to reduce climate-related risks, enhance resilience to environmental changes, and promote economic …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 49–54 Read article
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Microalgae Based Wastewater Treatment: A Sustainable Approach
Abstract: The global water crisis and strict environmental policies demand advanced wastewater treatment techniques that combine pollution control with resource recovery. Microalgae-based wastewater treatment has emerged as a sustainable biotechnological solution that aligns with circular economy principles by simultaneously eliminating contaminants and producing valuable biomass that can be converted into useful products. This review paper provides an in- depth assessment of the application of microalgae in treating municipal, industrial, and agricultural …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 1–15 Read article
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Collaborative Robotics and Smart Automation: Enhancing Human–Robot Synergy in Industry 5.0
Abstract: Industry 5.0 marks a paradigm shift from efficiency-centric automation to a human-centred, sustainable, and collaborative production environment . In this context, collaborative robots, commonly referred to as cobots, play a central role by enabling direct and safe interaction between humans and machines within shared workspaces. These systems are designed to support human operators by undertaking repetitive, precision-intensive, and physically demanding tasks, thereby allowing humans to focus on supervisory control, problem-solving, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 22–29 Read article
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Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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Machine Learning Based Sentiment Analysis of Student Feedback in Higher Education
Abstract: Educational institutions routinely collect feedback from students to understand their perceptions of academic programs, infrastructure, and campus facilities, to improve the overall quality of the college environment. In current practice, feedback is often gathered using numerical or grade-based rating systems, which tend to oversimplify student opinions and may overlook important details related to their level of satisfaction. In contrast, open-ended textual feedback allows students to clearly express their views, concerns, …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 01–10 Read article
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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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Effectiveness of a Structured Educational Intervention on Managing Minor Disorders of Pregnancy Through Home Remedies Among Antenatal Women in Urban and Rural Kuppam
Abstract: Pregnancy is a physiological process often accompanied by minor disorders such as nausea, vomiting, backache, heartburn, and fatigue, which can affect the well-being of expectant mothers. Appropriate knowledge and timely management using simple home remedies can significantly reduce discomfort and improve maternal health. This study aimed to evaluate the effectiveness of a structured educational intervention on the management of minor disorders of pregnancy through home remedies among antenatal women in …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 7–15 Read article
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A Study to Assess the Effectiveness of Structured Teaching Program on Knowledge Regarding Breastfeeding Positioning Among Postnatal Mothers in Selected Community Areas in Kanpur
Abstract: Breastfeeding plays a crucial role in promoting infant health by providing complete nutrition, enhancing immunity, and strengthening maternal–infant bonding. Despite its benefits, many postnatal mothers experience challenges, such as nipple pain, breast engorgement, fatigue, and ineffective feeding, often due to improper breastfeeding positioning and poor latching techniques. Limited awareness and lack of structured education further contribute to these difficulties. Educating postnatal mothers on correct breastfeeding positioning is, therefore, essential to …
Published in International Journal of Women's Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–23 Read article
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A Study to Assess the Effectiveness of Self-Instructional Module Regarding Common Psychological Problems of Postpartum Psychosis and Its Management Among Trained Staff Nurses of Netaji Subhash Chandra Bose Medical College, Jabalpur
Abstract: A quasi-experimental study employing a one-group pretest and posttest design was undertaken to evaluate the impact of a self-instructional module on staff nurses’ knowledge of postpartum psychosis and its management. The research was conducted at Netaji Subhash Chandra Bose Medical College Hospital and included 60 trained staff nurses selected through a non-probability convenience sampling technique. Data were collected through a structured questionnaire designed to assess knowledge levels. The reliability of …
Published in International Journal of Women's Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 24–28 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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The Burden of Empirical Therapy: Analyzing the Predominance of Broad-Spectrum Antibiotic Usage in Lower Respiratory Tract Infections
Abstract: Lower respiratory tract infections (LRTIs) remain one of the leading causes of morbidity and hospitalization worldwide, particularly among older adults, immunocompromised individuals, and patients with chronic respiratory disorders. These infections include conditions such as community-acquired pneumonia, hospital-acquired pneumonia, bronchitis, and acute infective exacerbations of chronic lung disease, all of which often require rapid clinical intervention. Because microbiological confirmation of the causative pathogen frequently takes 48–72 hours, clinicians generally initiate empirical …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Review on Effect of the Chemical Composition of some Pharmaceutical Vaccines and their Biochemical Efficacy with Chemical Techniques
Abstract: Chemical compounds are fundamental components in the formulation of medicines and vaccines, playing a critical role in ensuring their safety, stability, and effectiveness. Vaccines contain a combination of active and inactive ingredients, including weakened or inactivated viruses or bacteria, toxins, preservatives, stabilizers, adjuvants, antibiotics, and minerals. The active ingredient is an antigen, which stimulates the body's immune system to recognize and defend against specific infectious diseases. Adjuvants, such as aluminum …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 01–09 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Harnessing Bacteria for Next-Generation Data Storage Technologies – A Review
Abstract: The exponential increase in global digital information has created a pressing need for storage technologies that are more durable, compact, and sustainable than conventional electronic media. While hard drives, solid-state drives, and cloud-based systems have transformed information management, they face severe limitations related to storage density, energy consumption, maintenance costs, and long-term preservation. Researchers have, therefore, begun exploring biological systems as alternative information storage platforms. Among these, bacteria have emerged …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 Read article
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In Silico Molecular Docking of Indigofera tinctoria Phytocompounds to Target EGFR/ERK and FGFR/FGF Pathway Proteins Involved in Prostate Cancer
Abstract: Objective: Prostate cancer being the second major cause of cancer-related deaths in males, affects the small walnut-shaped gland below the bladder called the prostate gland. The epidermal growth factor protein (EGFR), cascade protein (ERK), and fibroblast growth factor proteins (FGFR and FGF) are involved in the different signaling pathways that lead to the formation of different products, that are responsible for the progression of cancer and thus can be considered …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 34–56 Read article
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Prediction of Molecular Targets for Anthraquinone and Its Analogs for Treatment of Good Pasteur Syndrome
Abstract: Objective: In order to find prospective molecular targets for the treatment of Good Pasteur Syndrome (GPS), a rare autoimmune disease that affects the kidneys and other organs, computational methods and network pharmacology were applied in this work. The goal of the study is to identify particular human proteins that might interact with anthraquinone and its analogues as well as to uncover potential mechanisms of action by which these drugs might …
Published in International Journal of Bioinformatics and Computational Biology Read article