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81 articles for “critical path method”
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Innovative Technology for Water Purification
Abstract: Water purification is critical for ensuring access to clean and safe drinking water, which is essential for public health, environmental sustainability, and economic development. Recent advancements in water purification technologies offer innovative solutions to address the growing challenges of water contamination and scarcity. This paper explores state-of-the-art technologies that are revolutionizing the field of water purification. Key innovations include nanotechnology-based filtration systems, advanced oxidation processes (AOPs), biomimetic membranes, and solar-powered …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 2, 2024 · pp. 11–16 Read article
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Induction of Apoptosis using Gene Therapy in the Treatment of Cancer
Abstract: Gene therapy is the treatment of a genetic disease through the insertion of normal or genetically altered genes into cells in order to replace or make up for the non-functional or missing genes. A major application of gene therapy is the induction of apoptosis to inhibit metastases or cure cancer. Besides the identification of the target site, the choice of a suitable vector system for gene delivery is also critical …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 2, Issue 3, 2013 · pp. 6–10 Read article
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Recent Trends in Heavy Metal Pollution of Groundwater: A Review
Abstract: Heavy metal pollution in groundwater has emerged as a major environmental and public health concern worldwide due to its persistence, toxicity, and potential for bioaccumulation. Rapid industrialisation, urban expansion, intensive agriculture, mining activities, and improper waste disposal have significantly increased the release of heavy metals into subsurface environments. Groundwater, being a primary source of drinking water in many regions, is particularly vulnerable to contamination, posing serious risks to human health …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 14–24 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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Epidemiology and transmission of infectious diseases study using Machine learning
Abstract: Infectious diseases remain a formidable global health challenge, characterized by rapid evolution and complex transmission dynamics that often outpace traditional epidemiological surveillance and response mechanisms. This study investigates the transformative potential of machine learning (ML) methodologies to enhance our understanding and prediction of infectious disease epidemiology and transmission. Leveraging diverse datasets—including clinical records, genomic sequences, environmental factors, social mobility data, and real-time digital footprints—we studies and presented various ML models …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Polymer Nanocomposites and Functional Materials for Lithium-Ion Battery Supercapacitor Hybrid Energy Storage Systems: Materials, Interfaces, and Performance Perspectives
Abstract: The growing need for high-performance energy storage solutions in electric vehicles, renewable energy applications, portable electronics, and other sectors has accelerated research and development efforts in Lithium-Ion Battery–Supercapacitor Hybrid Energy Storage Systems (HESS). By combining the high energy density of lithium-ion batteries with the high power density and fast charge/discharge characteristics of supercapacitors, HESS offers a promising approach to meeting diverse energy storage requirements. Nevertheless, several critical challenges remain that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 96–113 Read article
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Advanced Document Query System
Abstract: For knowledge-intensive businesses, large document libraries contain a plethora of information. Massive, chaotic, collections of documents that are unstructured have emerged from this rapid increase. Even if accessing or storing these documents has become easier, finding the required critical information in these vast document collections has become more difficult. NLP (natural language processing) is one of the techniques used to retrieve the information that is required from a huge chunk …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 26–35 Read article
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Symmetry Breaking in Mathematical Models: Bifurcation, Chaos, and Pattern Formation
Abstract: Symmetry breaking serves as a central organizing principle in the understanding of nonlinear systems across physics, biology, chemistry, and engineering. When a system transitions from a symmetric state to an asymmetric configuration, it often signals the onset of new structures, dynamic behaviors, or even chaotic regimes. This review explores symmetry breaking from the theoretical and mathematical perspectives of bifurcation theory, chaos theory, and pattern formation. We discuss how small parameter …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 25–30 Read article
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Exploring Additive Manufacturing Technologies in Engineering: A Comprehensive Study
Abstract: The objective of this research was to systematically elucidate various pathways in casting, focusing on the utilization of Additive Manufacturing (AM) technology and its transformative impact on investment casting. The purpose of this systematic review is to ascertain whether AM may be a practical solution for investment casting production. Diverse databases, including Google Scholar, Research Gate, Mendeley, and Science Direct, were utilized for comprehensive research. When compared to creative techniques …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 1, 2024 · pp. 16–19 Read article
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A Novel Approach for Extraction of Polyphenols
Abstract: Polyphenols are class of compounds which are found in fruits, vegetables, walnuts, olives, tea leaves and many more. Polyphenols are antioxidant phyto-chemicals that prevent or neutralize the damaging effects of free radicals. They are secondary metabolites of plants and are generally involved in defence against ultra-violet radiation or aggression against pathogens. Polyphenols are various alcoholic compounds containing two or more benzene rings that each has at least one hydroxyl group …
Published in Emerging Trends in Chemical Engineering · Vol. 1, Issue 1, 2014 · pp. 31–36 Read article
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Thin Film Coatings for Anti-Reflective and Anti-Fogging Applications in Optical Devices
Abstract: To maximize optical device lifetime and performance, thin film coatings are crucial. Coatings with anti-reflective (AR) and anti-fogging (AF) properties are important uses that improve optical systems' usability and performance. This review covers materials, deposition methods, and performance measures, providing a thorough analysis of recent developments in AR and AF thin film technologies. The study examines several techniques, such as chemical vapor deposition (CVD), sputtering, and sol-gel procedures, for producing …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 26–30 Read article
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A Review of TOR Technology in Cyber Security
Abstract: The cyberspace is becoming one of the main elements of vulnerability in national security and has led to a critical situation because the system is always more focused on information sharing and on quick communication all over the world than security. The concept behind the security of the data is the threat of the data corruption. Today, in this world, everything is getting digital and hence the need of more …
Published in Current Trends in Information Technology · Vol. 11, Issue 1, 2021 · pp. 26–30 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Comprehensive study of Entanglement Entropy in Quantum Field Theory: Analysis of Conformal Field Theory to Massive Field Extensions and Holographic Entanglement
Abstract: This paper provides an in-depth analysis of entanglement entropy (EE) in quantum field theory (QFT), with a particular focus on its computation using the replica trick and its applications to both conformal and non-conformal systems. Beginning with an introduction to the basics of QFT, the study explains how entanglement entropy quantifies the quantum correlations between subsystems in a pure state, represented by the von Neumann entropy of the reduced density …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 3, 2024 · pp. 33–58 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Development of Polymersomes as Macromolecular Platforms for Nanomedicine
Abstract: The conventional method of drug delivery is plagued with instability, low targeting and low bioavailability. A solution to these shortcomings is the use of polymersomes, artificial vesicles that are produced through self-assembly of amphiphilic block copolymer, and they are suggested as universal nanoscale carriers. They have stiff, tunable membranes (thickness = 2–50 nm) due to accurate control of polymer chemistry, chain length, and hydrophilic mass fraction (f), which allows predictability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 71–89 Read article
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Impact of Groundwater Pollution on Carcinogenic and Non-Carcinogenic Health Effects: A Review
Abstract: Groundwater is a critical source of drinking water in many regions worldwide, particularly in South and Southeast Asia, where dependence on untreated groundwater remains high. However, increasing groundwater contamination poses serious risks to human health. This review synthesizes recent peer-reviewed studies to examine the sources, distribution, and health impacts of major groundwater contaminants, with a focus on both carcinogenic and non-carcinogenic risks. Emphasis is placed on fluoride, nitrate, chromium, and …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 40–46 Read article
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Early Life Nutrition as a Determinant of Long-Term Vaccine Immunogenicity in Livestock: Mechanisms, Practical Strategies, and Species-Specific Considerations
Abstract: Early life represents a critical period for immune system development in livestock, during which nutritional exposures can exert long lasting effects on vaccine immunogenicity. Although vaccination is a cornerstone of infectious disease control in food producing animals, marked variability in vaccine induced immune responses is frequently observed under commercial conditions. Growing evidence suggests that this variability is partly driven by differences in early nutritional status, which can influence immune maturation, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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Enhanced Room-Temperature Gas Sensing Performance of 2% Mn-Doped Sri Lankan Natural Graphite Thin-Film Sensors for Ammonia, Acetone, and Ethanol vapors Detection
Abstract: The development of room-temperature gas sensors with high sensitivity, fast response, and low-cost remains a critical challenge for environmental monitoring and safety applications. In this work, we report the fabrication and characterization of a 2% Mn-doped Sri Lankan natural graphite thin-film sensor for the detection of ammonia (NH3), ethanol (C2H5OH), and acetone (C3H6O) vapors under ambient conditions. The sensor was prepared using the doctor-blade coating method on Indium Tin Oxide …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 39–49 Read article
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Comprehensive Study of Least Squares Estimation in Fast Fading MIMO-OFDM Systems
Abstract: MIMO-OFDM technology is now the foundation for modern wireless communication systems, allowing dramatic improvements in spectral efficiency, power efficiency, and transmission rate. On the other hand, the least accurate channel estimation is still a critical task, especially when they are in fast-fading environments. This study gives a comprehensive survey of LSE-based approaches and their applications on different fast-fading channel models for MIMO-OFDM systems. Techniques like Pilot Assisted Channel Estimation (PACE), …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 13–21 Read article