Search
1141 articles for “influence”
-
Recombinant Proteins and Nested Gene Regulation: Nutrient Driven Immune Response and Disease Resistance in Livestock
Abstract: Livestock production systems are increasingly challenged by infectious diseases, metabolic disorders, and environmental stressors that reduce productivity and compromise animal health. Advances in molecular biology and animal nutrition now offer new opportunities to strengthen disease resistance through integrated strategies that combine recombinant protein technologies, gene regulatory mechanisms, and nutrient mediated immune modulation. This review examines how recombinant proteins and nested gene regulation interact to shape nutrient driven immune responses in …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
-
Mannan-Rich Fractions in Poultry Nutrition: A Sustainable and Defensive Strategy against Antimicrobial Resistance
Abstract: Antimicrobial resistance (AMR) has evolved to be a significant global threat, menacing worldwide health and food security. Its proliferation in poultry farming has spurred the search for sustainable, non-antibiotic alternatives. One promising alternative is Mannan-Rich Fractions (MRFs), which is derived from Saccharomyces cerevisiae. These bioactive compounds not only support poultry health but also aid in suppressing pathogenic bacteria without contributing to resistance. This review brings together current studies highlighting how …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 1–16 Read article
-
Balancing Growth and Sustainability: Developing a Socio-ecological Urban Design Framework for Edge Cities
Abstract: In the rapidly urbanizing world, edge cities, urban areas situated on the outskirts of larger metropolitan regions have emerged as dynamic centres of economic activity. However, their development often prioritizes growth over sustainability, leading to ecological degradation and social inequities. This dissertation presents a socio-ecological urban design framework aimed at balancing growth with sustainability in edge cities. By integrating principles from ecology, sociology, and urban planning, this framework addresses the …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 2, 2026 · pp. 1–24 Read article
-
Adoption of Major Improved Crop Varieties in Selected Districts of the Southwest Ethiopia Region
Abstract: Agriculture forms the backbone of the Ethiopian economy and significantly contributes to the livelihoods of the majority of the population. It remains a central pillar of food security, employment, and rural development across the country.The present study aims to examine the adoption of improved major crop varieties and to identify the key factors influencing their uptake in the southwest Ethiopia region. The research was carried out in the districts of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 18–31 Read article
-
Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
-
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
-
Spatiotemporal Analysis of Mean-Field Coupled Lorenz Oscillators for Applications in Electronic Network Design and Chaotic Synchronization
Abstract: This study investigates the spatiotemporal behavior of a network of 100 coupled Lorenz oscillators interacting through mean-field coupling with coupling strength κ = 0.1 and explores its relevance to electronic system design and nonlinear network architectures. While each oscillator follows classical Lorenz dynamics, the coupling mechanism enables collective behavior that resembles synchronization phenomena observed in distributed electronic and communication systems. Numerical simulations reveal rich dynamical characteristics including partial synchronization, emergent …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
-
Information Access and Usage Trends among Students of Rajasthan Technical University, Kota
Abstract: The rapid growth of information and communication technologies has significantly influenced the ways in which university students locate, access, and use academic information. The present study examines the information access patterns of students enrolled at Rajasthan Technical University (RTU), Kota, with a focus on the use of electronic resources, print-based collections, and available digital library services. The study aimed to identify the primary information sources favored by students, evaluate the …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 27–38 Read article
-
Seasonal Dynamics of Coastal Landscapes: A Critical Review Using Remote Sensing and GIS
Abstract: Coastal landscapes are among the most dynamic environments on Earth, undergoing continuous transformation due to both natural processes and anthropogenic activities. In India, particularly along the southern coastal regions of Andhra Pradesh, Tamil Nadu, and Kerala, shoreline morphology and sediment transport patterns are significantly influenced by seasonal monsoons, cyclones, storm surges, waves, tides, and changing river discharges. These factors contribute to varying rates of coastal erosion, accretion, inundation, and land- …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
-
Resilience, Secular attitude and Forgiveness among indian men & women
Abstract: The present study investigates the relationship among forgiveness, resilience, and secular attitude among adults living in Pune, India. The primary objectives of the study were to examine the interrelationship between these three variables, evaluate the influence of secular attitude on forgiveness and resilience, and identify differences based on gender and region. 113 adults were selected through a simple random sampling method and were assessed using the Bharathiar University Resilience Scale …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 112–120 Read article
-
Battery Energy Storage Optimization for Enabling Black Start in Offshore Wind Farms
Abstract: The transition toward power systems dominated by renewable energy sources (RES) introduces significant challenges to the provision of black start services. Black start units are essential for restoring power following a system-wide outage; however, the gradual retirement of conventional generation reduces the availability of such resources, potentially compromising grid resilience. Offshore wind farms (OWFs) are increasingly considered as viable alternatives for black start support. Nevertheless, their inherent variability and intermittent …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 Read article
-
Group-Theoretic Symmetry Indices for Modular Building Layouts under Seismic Load Redistribution
Abstract: Symmetry in modular buildings operates simultaneously as an architectural language, a structural regularizer, and a computational design variable. This paper develops a group-theoretic framework for evaluating and optimizing plan symmetry in modular buildings subjected to seismic load redistribution. The building layout is modeled as a finite occupancy–stiffness field defined on a rectangular lattice, where each module encodes both mass and stiffness contributions. Planar reflections and quarter-turn rotations are represented as …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 01–07 Read article
-
A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
-
AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
-
Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
-
Artificial Intelligence in Education: Enhancing Usability and Adoption Among Educators in Digital Classrooms
Abstract: The use of Artificial Intelligence (AI) in education has changed digital learning environments. It provides new tools to improve teaching and boost student engagement. However, even with more AI-enabled technologies available, not all educators are using them equally. This uneven adoption is mainly due to problems with usability, accessibility, and digital readiness. This study addresses the critical gap between the potential of AI in education and its practical utilization by …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 Read article
-
ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
-
Prospects and Growth Opportunities of Female-Owned Rural Farm Businesses in Plateau State, Nigeria
Abstract: The potential and growth chances of female-owned rural agricultural companies in Nigeria's Plateau State were investigated in this study. The objectives were to assess the prospects and opportunities available to female-owned rural farm businesses and to determine their effect on business growth and development across the state. The study covered female farm business owners engaged in crop production, livestock farming, mixed farming, and agro- processing across all 17 Local Government …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
-
Attitude of Undergraduate Agriculture Students Towards Farming: Empirical Evidence From a Premier State Agricultural University in India
Abstract: Agricultural education plays a critical role in developing skilled human resources for sustaining and revitalizing the farming sector in India. Despite agriculture being the backbone of the national economy, there is increasing concern about the declining inclination of educated youth towards farming as a profession. The present study was undertaken to assess the attitude of undergraduate agriculture students towards farming and to examine selected socio-demographic, educational, economic, and psychological factors …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 41–56 Read article
-
Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees
Abstract: In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed. The research was motivated by the practical application of storing files and directories in a certain type of parent-child relationship through the use of hierarchical file systems (e.g., windows explorer). The result of measuring how fast and versatilely these …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article