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267 articles for “Mitigation strategies”
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Myco-Engineering Systems: Harnessing Fungal Networks for Carbon Sequestration and Sustainable Ecosystem Restoration
Abstract: Fungal organisms play a foundational role in global ecosystem stability, particularly through their contributions to nutrient cycling, soil regeneration, and carbon sequestration. Recent scientific advances have highlighted the potential of fungal mycelial networks as natural bioengineered systems capable of supporting sustainable environmental restoration. This paper introduces the concept of Myco-Engineering Systems, an interdisciplinary framework that integrates fungal biology, environmental science, and artificial intelligence (AI) to enhance carbon capture and ecosystem …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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Cracking the Code: A Study on Exploitable Weaknesses in QR Code Technology
Abstract: This study investigates the exploitable weaknesses inherent in quick response (QR) code technology, aiming to provide insights into potential security risks and mitigation strategies. QR codes, ubiquitous in modern society, serve various purposes ranging from marketing to authentication. However, their widespread utilization also renders them vulnerable to exploits by malicious actors. The research identifies common vulnerabilities such as data tampering, code injection, and phishing attacks, which can have significant consequences, …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 9–17 Read article
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Impact of Project Complexities on Cost Overruns
Abstract: As decision-making and goal setting become more challenging due to complexity, there is growing consensus that comprehending complexity is essential for project management. However, there have been concerns expressed regarding how complexity can be quantified in a reliable way that takes into account structural, dynamic, and interaction factors. Current operational definitions of complex projects based on size and budget, have been called into doubt. What can be done is to …
Published in International Journal of Architectural Design and Planning Read article
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Interior Design for Disaster Resilience
Abstract: In the age of heightening environment actuated calamities and the thriving intricacy of metropolitan scenes, the basic to implant catastrophe flexibility inside plan resounds with remarkable criticalness. This examination paper embraces a general odyssey, diving into the complicated interchange between inside plan and catastrophe flexibility inside the constructed climate. Drawing upon a tremendous embroidery of insightful writing, exact investigations, and genuine models, the paper fastidiously disentangles the multi-layered methodologies, developments, …
Published in International Journal of Climate Conditions · Vol. 1, Issue 1, 2024 · pp. 01–15 Read article
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An Investigative Study on Secure Coding Practices with Shell Scripting
Abstract: This investigative research delves into secure coding practices within shell scripting, aiming to reduce prevalent security vulnerabilities and improve the overall security stance of shell scripts. It emphasizes three key areas: static analysis, dynamic analysis, and manual code review. Through static analysis, the code structure, usage of unsafe functions, and potential vulnerabilities are examined without executing the script. Dynamic analysis entails running the script in controlled settings to detect runtime …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 16–23 Read article
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Behavior of R.C. Buildings with Steel Encased Elements Subjected to Impact Loads
Abstract: This study examines the resilience of steel-encased concrete column beams and frames against blast loads, a crucial concern in regions prone to terrorist threats or accidental explosions. An exhaustive literature review establishes the historical context and theoretical frameworks of blast-resistant design. The research employs finite element analysis (FEA) simulations to study the dynamic behavior of these structures under various blast scenarios, revealing insights into load distribution, deformation, and failure mechanisms. …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 1, 2024 · pp. 20–36 Read article
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article
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Enhancing Road Safety: A Robotic System for Automatic Pothole Identification and Filling
Abstract: Innovative technologies called automatic pothole detection systems are made to automatically locate and identify potholes on road surfaces. These systems incorporate many components, including sensors such as cameras, LiDAR, and accelerometers, to acquire data on the road conditions. Potholes on roads provide serious risks to passing cars and pedestrians, which can result in collisions, damage to cars, and deterioration of the infrastructure. Automatic pothole detection systems, which make use of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 1–6 Read article
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Electromagnetic Transients in Strongly Non-Uniform Overhead High Voltage Lines
Abstract: This paper addresses the electromagnetic transients in high strongly non-uniform overhead voltage lines. For their simulation, a novel Laplace-domain approach has been introduced. The voltage and current patterns in terms of location and complex frequency are determined by a set of simultaneous algebraic and partial differential equations. To solve them numerically, an effective Mathematica code is proposed. By contrasting the outcomes of their application to multiple case studies with those …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 30–36 Read article
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Artificial Intelligence for Improved Healthcare: A Case Study and Applications
Abstract: Artificial intelligence (AI) in healthcare ushers in a revolutionary period of innovation, but it also brings with it significant ethical dilemmas. This paper explores the complex relationship between AI and healthcare, emphasizing both its useful applications and the moral conundrums that arise. Ethical issues span a wide range, including patient privacy, transparency, accountability, and the unintentional reinforcement of biases in AI algorithms. Privacy concerns take center stage as healthcare providers …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Health Hazards of Nanoparticles and Environmental Pollutants
Abstract: The exponential growth in the use of nanoparticles and the prevalence of environmental pollutants have raised significant concerns regarding their health hazards. Nanoparticles, owing to their unique physicochemical properties—such as small size, high surface areatovolume ratio, and chemical reactivity—can penetrate biological barriers, including the bloodbrain barrier, and interact at the cellular and molecular levels. This can lead to oxidative stress, inflammation, and cellular dysfunction, ultimately resulting in potential toxicity. Similarly, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 1, 2025 · pp. 1–9 Read article
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Treated Sewage in Fish Farming and Ecological Challenges
Abstract: The use of treated sewage in fish farming presents a sustainable and cost-effective approach towards resource conservation and aquaculture productivity. Treated sewage is enriched with essential nutrients, like nitrogen and phosphorus, which supports the growth of aquatic plants and phytoplankton. These are vital components of aquaculture ecosystems. This practice reduces freshwater dependency and mitigates waste disposal challenges as well as aligns with circular economy principles. Pilot projects in China and …
Published in International Journal of Marine Life · Vol. 2, Issue 1, 2025 · pp. 26–31 Read article
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Climate-Induced Infertility in Dairy Cows: Pathways, Challenges, and Solutions for Sustainable Dairy Development
Abstract: Climate change has emerged as a significant challenge to dairy production, with profound implications for reproductive performance in dairy cows. The interplay of rising temperatures, fluctuating rainfall patterns, and increased frequency of extreme weather events disrupts key physiological, nutritional, and behavioral processes essential for fertility. Heat stress alters hormonal balance, impairs oocyte and embryo quality, reduces estrus expression, and affects pregnancy outcomes. Concurrently, climate-induced nutritional deficits, immune suppression, and increased …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 Read article
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Techniques for Congestion Mitigation in Hybrid Electricity Markets
Abstract: In hybrid electricity markets, managing congestion is a crucial issue that impacts market efficiency, grid stability, and the integration ofrenewable energy sources. In orderto efficiently detect and manage crowded zones, this study suggests an enhanced congestion mitigation strategy by introducing the notion of Average Transmission Congestion Distribution Factor (ATCDF). In order to improve grid dependability, the research focuses on integrating Wind Power Generation (WPG) with Battery Energy Storage Systems (BESS) …
Published in Trends in Electrical Engineering · Vol. 15, Issue 3, 2025 · pp. 1–6 Read article
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A Monte Carlo Simulation Approach to Decision Analytics in Manufacturing and Industrial Automation Project Management
Abstract: Manufacturing and industrial automation projects face high uncertainty and risk arising from factors such as complex supply chains, equipment variability, and fluctuating production demands. If not properly managed, these uncertainties can lead to costly delays, unplanned downtime, and budget overruns that jeopardize project success. Given the shortcomings of deterministic planning in such volatile environments. If not properly managed, it can lead to costly delays and failures if not properly managed. …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
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Hybrid Material Systems for Flexible Electronics Electro-Mechanical Performance and Future Prospects
Abstract: Flexible electronics are transforming the landscape of modern electronic systems, enabling devices that are lightweight, stretchable, and adaptable to complex surfaces. These technologies are particularly impactful in applications such as wearable health monitors, soft robotics, energy harvesting systems, and implantable biomedical devices. At the heart of this evolution are hybrid material systems—engineered composites that combine organic polymers and inorganic nanomaterials to achieve synergistic electro-mechanical properties. These materials address the limitations …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 7–12 Read article
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AI-Driven Robotics for Sustainable Solutions in Disaster Management
Abstract: Disasters, whether natural or man-made, present significant challenges to societies worldwide. Efficient response, recovery, and mitigation strategies are crucial to minimizing human suffering, loss of life, and economic damage. Traditional disaster management strategies, while effective to some degree, often face limitations related to human resources, response time, accessibility, and safety. The integration of artificial intelligence (AI) and robotics into disaster management offers transformative potential for overcoming these challenges. This paper …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Toxicokinetics of Herbicide Residues in Green Forages: Implications for Fertility, Health, and Welfare of Dairy Cows
Abstract: Herbicide residues in green roughages have emerged as a significant concern in dairy production due to their potential toxicokinetic interactions and detrimental effects on reproductive health. While herbicides are widely used to control weeds and enhance fodder yield, their persistence in forage poses a latent risk to dairy cattle fertility. This review explores the absorption, distribution, metabolism, and excretion of herbicide residues in dairy cows, emphasizing their bioaccumulation and systemic …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 3, 2025 · pp. 48–64 Read article