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429 articles for “environmental factor”
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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REALIZATION OF SUSTAINABLE CIVIL INFRASTRUCTURES THROUGH EFFECTIVE PROJECT MANAGEMENT IN A CHALLENGING ECONOMY
Abstract: Infrastructure and effective project management is a great challenge facing sustainable development of infrastructure in Third World Cities and Civil Engineers have a lot of roles to play in sustainable infrastructural development in a challenging economy. This paper examines ways of realizing sustainable infrastructures through project management and civil engineering practice. Secondary data from works of literature and notable information from engineers were utilized. Project management is very essential for …
Published in Journal of Construction Engineering, Technology & Management · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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Epigenetic Modifications in Health, Disease, and Precision Therapeutics (From Genome to Epigenome)
Abstract: Introduction: Epigenetic alterations play a crucial role in regulating gene expression in both normal physiological and disease states. These reversible modifications—such as DNA methylation, histone acetylation, phosphorylation, ubiquitination, and chromatin remodelling—are increasingly implicated in complex diseases including cancer and neurodegenerative disorders. Despite advances in standard therapeutic approaches, patient responses remain variable, largely due to genetic heterogeneity and epigenetic dysregulation. This highlights the need for incorporating epigenetic understanding into personalized medicine. …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 Read article
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PREDICTING THE BEHAVIOUR OF BORRELIA IN HOMOGENEOUS FINE SAND IN COASTAL AREA OF BAKANA
Abstract: AbstractThe deposition of borrelia in fine sand formation in the coastal area of Bakana was monitored applying modeling and validation, the study try to predict the migration process of borrelia in the coastal formation, such deltaic depositions were observed to be alluvia predominant thus maintained homogenous fine sand formations. The study monitor the transport of borrelia in coastal area to observed whether the homogeneity will affect the behaviour of borrelia …
Published in Recent Trends in Civil Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 11–19 Read article
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Legume-Induced Frothy Bloat in Tropical Cattle: Pathophysiology, Consequences and Preventative Measures
Abstract: Legume-induced bloat in tropical cattle is a complex and significant health challenge that affects livestock productivity and welfare. This review aims to elucidate the multifaceted causes of bloat associated with the consumption of leguminous forages, highlighting both the physiological mechanisms and environmental factors that contribute to this condition. Key factors include the high soluble protein content of legumes, rapid fermentation rates in the rumen, and the formation of stable foam, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Legume-Induced Frothy Bloat in Tropical Cattle: Pathophysiology, Consequences, and Preventative Measures
Abstract: Legume-induced bloat in tropical cattle is a complex and significant health challenge that affects livestock productivity and welfare. This review aims to elucidate the multifaceted causes of bloat associated with the consumption of leguminous forages, highlighting both the physiological mechanisms and environmental factors that contribute to this condition. Key factors include the high soluble protein content of legumes, rapid fermentation rates in the rumen, and the formation of stable foam, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 2, 2026 · pp. 38–59 Read article
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Advancements in Windmill Technology: Comprehensive Research on Conventional and Piezoelectric Windmills
Abstract: This research delves into the structural components and mechanisms of conventional wind turbines, emphasizing blade material considerations for optimal performance. It introduces a paradigm shift by exploring the use of epoxy resin and piezoelectric materials, specifically zinc oxide, in wind turbine blades. The study presents mathematical models and conducts a comparative analysis between conventional and piezoelectric turbines, evaluating efficiency, cost-effectiveness, environmental impact, and energy output differences. While awaiting experimental data, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 31–42 Read article
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Environment, Health, and Carcinogenic Concerns in the Light of Microvita Theory
Abstract: This study examines the relationship between environmental health, carcinogenic risks, and P.R. Sarkar’s microvita theory, introduced in 1986. Microvita are described as subtle entities that influence both physical and mental realms, potentially interacting with environmental factors and playing a role in health and disease, particularly in the process of carcinogenesis. By merging this philosophical concept with modern scientific insights, the study offers a fresh perspective on addressing environmental hazards that …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 2, 2025 · pp. 8–18 Read article
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Balancing Welfare-Productivity Trade-Offs: Logical Frameworks and Strategic Approaches for Sustainable Dairy Development
Abstract: Balancing animal welfare and productivity remains a critical challenge in modern dairy farming. This study explores diverse frameworks for evaluating the welfare-productivity trade-offs essential for achieving sustainable dairy systems. Key approaches are categorized into six thematic areas: animal-centric frameworks, management-oriented models, environmental assessments, economic and policy perspectives, technological innovations, and holistic methodologies. Each framework offers unique metrics and evaluation tools, including behavioral assessments, physiological indicators, precision livestock farming, cost-benefit analyses, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 2, 2025 · pp. 16–24 Read article
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Study on Chemical Insights into Alzheimer's Disease: Amyloid Beta and Tau Protein Interactions
Abstract: Background: Alzheimers disease (AD) is the most prevalent form of dementia, affecting millions of individuals worldwide and posing significant challenges to healthcare systems. The disease is characterized by a gradual decline in cognitive functions, particularly memory, reasoning, and the ability to perform daily activities. Aim & objective: To study chemical insights in alzheimers disease, especially amyloid beta and tau protein interactions Results & discussion: The results of this review highlight …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 37–46 Read article
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A Brief Review on Perovskite Materials: Synthesis, Properties, and Applications
Abstract: Perovskite materials have emerged as a transformative class of compounds, capturing widespread interest due to their remarkable properties and diverse applications across various fields, including optoelectronics, catalysis, energy storage, and environmental technologies. The synthesis techniques, classification, and unique properties of perovskite materials are thoroughly examined in this paper, which highlights the materials' potential to completely transform a number of sectors. One of the standout features of perovskites is their highly …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 1, 2025 · pp. 42–49 Read article
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Factors Affecting Shear Stress on Tablet Hardness and Disintegration
Abstract: The quality and effectiveness of pharmaceutical tablets depend heavily on several factors influencing shear stress on tablet hardness and disintegration. These factors include formulation composition, wherein the selection and concentration of excipients and active ingredients affect how the tablet material responds to shear stress. Additionally, the compression force, speed, and duration during tablet compression are critical, impacting tablet hardness and disintegration properties. Tablet geometry and design, along with tablet press …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 1–19 Read article
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Integrate AI and IoT to Develop Sustainable Polymer Structural Materials Processing Optimization: Enabled Monitoring Strategies for Performance and Lifecycle Assessment
Abstract: The need for long-lasting structural polymer materials that are both environmentally friendly and highly mechanically effective is driving demand for these materials as the industrial sector continues to grow. Optimizing processes, saving energy, detecting faults, and monitoring structures are all hindered by conventional polymer manufacture. This study suggests an AI-IoT system for environmentally friendly production of structural polymer materials to get around these problems. Tools for evaluating system performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 169–192 Read article
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Economics of Construction Site Productivity: Work Environment Factors Affecting the Output of Craftmen in Nigeria
Abstract: The construction industry faces challenges and problems associated with craftsmen's output, which impacts the economic productivity of the construction sector. Construction workers in Nigeria have always been subjected to working within an unconducive environment, which has not allowed for a high level of economic productivity. This study extensively analyses some of these work environment factors affecting craftsmen's output on building sites in Port Harcourt, Nigeria. A survey of selected construction …
Published in Journal of Production Research & Management · Vol. 13, Issue 3, 2023 · pp. 12–23 Read article
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Social Determinant in Health : Epidemiological study of communicable diseases, Demography and Mortality rate.
Abstract: Introduction: Social Determinants of Health (SDH) significantly influence the spread and prevalence of communicable diseases. Factors such as poverty, income inequality, healthcare access, education, employment, location, and social connections shape disease transmission within populations. Additional factors like age, gender, migration, and urbanization further explain the relationship between SDH and public health. Mortality rates, including life expectancy, infant mortality, and access to clean water and sanitation, are deeply affected by these …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 41–56 Read article
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Enzyme Stability Prediction using BERT and CNN-A Deep Learning Approach for Enhanced Biocatalysis
Abstract: An important factor in determining the efficacy of industrial enzymes used in various biotechnological applications is their stability. The goal of this study is to develop a predictive model for industrial enzyme stability, which is essential to the efficiency of these enzymes in biotechnological applications. The research takes a comprehensive strategy to comprehend the parameters affecting enzyme stability by combining statistical analysis, deep learning algorithms (BERT and CNN), and molecular …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 19–35 Read article
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A Review of Literature on Breast Cancer: Molecular Insights, Clinical Approaches, and Future Perspectives
Abstract: Breast cancer is the leading cause of morbidity and mortality in women globally. Although both men and women can get the condition, women are more likely to get it, and its prevalence has been rising globally in recent years. The epidemiology, risk factors, pathophysiology, diagnosis, treatment options, and survival rates of breast cancer are all examined in this review of recent research. Breast cancer can show up as a lump …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
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Experimental Investigation of OPC Concrete with Incorporation of Glass Powder as Partial Substituent Material.
Abstract: This study presents an experimental survey aimed at evaluating the viability of incorporating glass powder (GP) as a partial substitute for cement in concrete matrix. The research focuses on assessing the effect of this sustainable alternative in concrete by investigating the various properties of fresh concrete such as workability, mechanical and durability aspects. Specimens were prepared with GP replacement to cement at 5%, 10%, 15%, and 20% levels, with comparative …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1058–1068 Read article
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article