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1559 articles for “relation”
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Cardanol Glycidyl Ether in Advanced Materials: Recent Progress, Synthetic Strategies, and Future Perspectives
Abstract: Cardanol glycidyl ether (CGE), a bio-based precursor and epoxy derived product has been emerged as a promising sustainable alternative to conventional petroleum-based epoxy materials. Due to the presence of a phenolic hydroxyl group and an unsaturated aliphatic side chain, cardanol can be effectively undergoes glycidylation to produce reactive epoxy monomers that has excellent flexibility, hydrophobicity, low viscosity, and notably good chemical resistance. In recent years, CGE-based systems have attracted remarkable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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An Analytical Study of the Effectiveness of the Child Development Scheme in Anganwadi Centers of Rudraprayag District
Abstract: From the perspective of human development, childhood is regarded as a highly sensitive and multidimensional phase that plays a pivotal role in shaping the trajectory of human life. During childhood, children undergo rapid growth across their mental, social, psychological, and physical domains. Currently, the mental, physical, and social well-being—as well as the overall health—of children remains a grave challenge for the entire world. An increase in nutritional and health-related problems …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 35–47 Read article
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Tailoring the Compressive Behavior of Tetra-Chiral Auxetic Structures through FDM Process Parameters
Abstract: This research evaluates how fused deposition modeling (FDM) fabrication process parameters affect the compressive behavior of tetra-chiral auxetic structures created from Polylactic Acid (PLA). Auxetic materials have a number of useful properties, including reversible deformation and high-energy absorbing capabilities, which are beneficial to creating ultra-lightweight structural, protective, and shock-resistance designs. Among the available auxetic topologies, the tetra-chiral configuration is particularly attractive for engineering use, because its rotation-dominated node–ligament deformation gives …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Interfacial Bonding Efficiency in Jute-Carbon Fiber Polyester Matrix Composites Evaluated Through Short Beam Shear and Interlaminar Fracture Toughness Testing
Abstract: The natural Fiber–synthetic Fiber hybrid composites are jute–carbon Fiber hybrid in polyester matrix which could be used in semi-structural applications of automotive, construction and marine industry as an eco-friendly and cost-effective alternative of conventional carbon Fiber reinforced polymer. But the hydrophilic nature of jute Fibers and the relatively inert surface of carbon Fiber's cause weak bonding at the interface of the polyester matrix, which causes premature delamination, poor interlaminar shear …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Listening to Colonial Disruption: Sound, Silence, and Cultural Memory in the Works of Chinua Achebe
Abstract: This article examines the significance of sound and silence in the fiction of Chinua Achebe,arguing that auditory experience functions as a crucial medium through which cultural memory,identity, and resistance are represented. Although Achebe’s novels have been extensively studied in relation to colonialism, nationalism, and language politics, comparatively little attention has been paid to their acoustic dimensions. Drawing on postcolonial theory, oral tradition studies, and cultural memory studies, this paper investigates …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Critical Review of the Limitations of the Arithmetic Mean and the Robustness of the Median in Statistical Analysis
Abstract: Arithmetic mean is an extremely popular measure of central tendency used in statistical analyses, primarily because it is so easy to calculate and has many positive mathematical characteristics. However, when there are outliers, skewed distributions or heterogeneous spread of data, the reliability of the arithmetic mean diminishes greatly. This paper includes a critical review of the limitations of the arithmetic mean and an assessment of the robustness of the median …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 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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Analysis of the coffee market structure, conduct, and performance in the Gimbo District of the Kaffa Zone in Southwest Ethiopia
Abstract: Coffee is a vital export commodity for Ethiopia, contributing significantly to the country's GDP and rural livelihoods. In the Kaffa Zone, particularly in Gimbo District, coffee production serves as the primary source of income for smallholder farmers. Despite its economic importance, the coffee market in the study area faces several constraints, including low production capacity and inadequate market infrastructure. This study aimed to identify key actors in the coffee market …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 63–81 Read article
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Digital Literacy: A Faculty-Based Comparative Study of Research Scholars at the University of Rajasthan
Abstract: This study explored how much “research scholars in the department of Social Science and Arts of the University of Rajasthan, Jaipur”, understand and use digital technologies. The findings based on 84 questionnaires show that scholars of the Social Science faculty have a relatively high digital literacy compared to those in the Arts faculty. Most of the respondents indicated that they were skilled in using open-access sources. However, about a quarter …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 34–43 Read article
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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Schizophenia – An Ayurvedic Review and Treatment – A Case study
Abstract: Schizophrenia is a complex, heterogeneous disorder. It is neuro developmental disorder characterized by problems with thinking (cognition),behavior- not focused on goals, negative symptoms, suicidal thoughts This means having a reduced or impaired ability to function normally and having noemotions(notmakingeyecontact,notchangingfacialexpressions,orspeakinginamonotone).Additionally, the person may lose interest in daily activities, withdraw from relationships, or be unable to sustain and reflection often associated with hearing or speech disorders, extreme confusion and associated functional impairments. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 1, 2024 · pp. 40–48 Read article
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Investigation on bi-layer knitted fabric produced using recycled polyester and banana fiber for improved moisture and thermal comfort properties
Abstract: This research investigates thermal comfort characteristics of bi-layer knitted fabrics made of banana fibers and recycled polyester (rPET). The main aim is to maximize thermal comfort of textile products by taking advantage of the distinctive characteristics of these two varieties of eco-friendly materials. Recycled polyester and banana fibers were combined to make the bi-layer knitted materials, which is produced as separate inner and outer layers to maximize performance. The features …
Published in Journal of Polymer & Composites Read article
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Investigation on bi-layer knitted fabric produced using recycled polyester and banana fiber for improved moisture and thermal comfort properties
Abstract: This research investigates thermal comfort characteristics of bi-layer knitted fabrics made of banana fibers and recycled polyester (rPET). The main aim is to maximize thermal comfort of textile products by taking advantage of the distinctive characteristics of these two varieties of eco-friendly materials. Recycled polyester and banana fibers were combined to make the bi-layer knitted materials, which is produced as separate inner and outer layers to maximize performance. The features …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 19–24 Read article
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The Impact of Artificial Intelligence on the Sales and Marketing of Pharmaceutical Products
Abstract: The rapid development of computing and technology has permeated all branches of science, with artificial intelligence (AI) emerging as a pivotal field in computer science. AI has significantly influenced disciplines ranging from basic engineering to pharmaceuticals. In healthcare and medicinal chemistry, AI applications have become indispensable. Traditional drug discovery approaches are gradually being overtaken by computer-aided drug design. In recent years, artificial intelligence (AI) and machine learning (ML) have become …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 10–18 Read article
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Revolutionizing Energy Systems: The Impact of Steam and Its Technological Evolution
Abstract: The problem of environmental contamination, which is important for both public health and the economy, has been addressed through a great deal of research on the sterilization and disinfection of pollutants and microorganisms. Many types of pollutants and hazardous materials, such as microorganisms and toxic gases, are discharged into the environment and can enter the human body through ingestion, adsorption, or inhalation. Numerous respiratory conditions, strokes, lung cancer, and heart …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 Read article
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The Role of Digital Innovations in the Transition of English Literature
Abstract: English literature context has been changed significantly with modernisation of the digital age that is creating a massive impact on creation, dissemination, and interpretation of literature. When one considers the relationship between literature and digital innovation, one may summarize these disruptive forces as both a challenge to and opportunity for literature — a hybridization of past forms. It explores how digital technologies have transformed reading practices, textual analysis, and the …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 Read article
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Record Linkage in Knowledge Discovery Process Using Angle Based Machine Learning
Abstract: Record linkage is a critical data cleansing step in the knowledge discovery process, aimed at identifying and resolving inconsistencies across datasets. This study proposes an enhanced record linkage framework tailored for uncertain and large-scale data using a combination of distance measurement, probabilistic modeling, and semantic reasoning. A novel angle-based distance measurement technique is introduced to optimize matching between candidate records. To further boost match accuracy, a Finite Mixture Model (FMM) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1157–1170 Read article