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81 articles for “critical path method”
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Budgetary Control and Timely Completion of Civil Engineering Projects Through Financial Management
Abstract: Financial management is critical for dealing with time delays and cost overruns in civil engineering. The methodology adopted in this study is questionnaires distributed to different construction professionals and surveys from some sites. Professionals consulted include engineers, contractors, and clients. Results show that most projects encounter time wastages, insufficient materials, and mismanagement of resources. Numerous time and cost management strategies assist in preventing cost overrun and schedule extension in civil …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 10–19 Read article
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Time Cost Optimization Techniques in Construction Industries-A Review Article
Abstract: Construction project scheduling and optimizing the schedule has received a considerable amount of attention over the last few decades. Completion of a project in optimum time and minimum cost is a challenge in every project. There are many methods and algorithms available; using which time cost optimization (TCO) can be achieved. This article gives a review on critical path method (CPM), linear programming (LP), genetic algorithm (GA) and ant colony …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 2, 2015 · pp. 28–32 Read article
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Analysis of Project Management Optimization Using CPM and PERT in a Dynamic Business Environment
Abstract: In the current fast-changing business environment, organizations must remain agile and strategically responsive to unpredictable challenges such as supply chain disruptions, shifting consumer demands, and evolving market trends. Project management techniques like the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT) serve as valuable tools in helping businesses manage these complexities effectively. CPM is a time-focused method that identifies the longest sequence of dependent tasks in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 Read article
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Application of Genetic Algorithm in Resource Leveling and Allocation
Abstract: Resource leveling and allocation is one of the most important aspects in construction management. Critical path method and program evaluation review technique is frequently used for scheduling of construction projects. However, it is not capable of minimizing unwanted fluctuations in resource utilization profile. The basic idea of resource leveling is to minimize resource fluctuation. In addition to this, the paper uses the resource utilization period. This research paper presents an …
Published in Recent Trends in Civil Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 1–8 Read article
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Monitoring and Forecasting in Construction Projects Using Time Buffer
Abstract: The key to project management is effective performance monitoring and forecasting. The existing methods using input- output cash flow, earned value, etc. do not differentiate between work done on the critical path and work done on non-critical paths. Such methods mask the real situation and mislead the project team because progress on one path often compensate for the delay in other. The paper proposes a more effective method to facilitate …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 9–16 Read article
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Supply Chain Strategy, Supply Chain Flexibility and its Impact on Supply Chain Performance: A Statistical Modeling Approach
Abstract: In the cutting edge aggressive business condition, the associations coordinate their businesses deliberately within supply chain network. Current research is an attempt to highlight the impact practices in context of supply chain (i.e. strategy and flexibility) on performance in a sample of the automobile industry in India. With the assistance of quantitative research, a poll gets ready and an overview was directed among the respondents. A measurable instrument used to …
Published in Journal of Production Research & Management · Vol. 9, Issue 2, 2019 · pp. 29–34 Read article
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Nanostructured Catalysts for Sustainable CO2 Reduction: Advancing Green Chemistry and Polymer Composites
Abstract: Artificial photosynthesis is the advancement of a process that utilizes sunlight to convert CO₂ and H₂O into high-energy fuels (methanol, hydrogen) analogous to photosynthetic pathways. Carbon-neutral energy is critical to tackling climate change, and this method provides a solution by offering an alternative to fossil fuels while also minimizing greenhouse gas emissions. Nanostructured catalysts such as plasmonic metals and hybrid nanocomposites greatly improve efficiency and scaling. Recent developments in the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 Read article
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Review on Computer-Aided Drug Design in RAS Inhibitor Discovery
Abstract: This review explores the utilization of computer-aided drug design (CADD) methodologies in the discovery of inhibitors targeting the RAS pathway, a pivotal signaling cascade implicated in various cancers. Through an extensive examination of computational tools, methodologies, challenges, and recent advancements, this review aims to provide insights into the role of CADD in accelerating RAS inhibitor discovery. The discovery of effective inhibitors targeting the RAS pathway is of paramount importance in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 7–14 Read article
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Understanding the Impact of GMO on Hormones and Their Effect on Mood: A Review Paper
Abstract: The research evaluates how consuming genetically modified organisms affects endocrine functioning that can potentially lead to mood changes or disorders. This is a systematic review paper that analysed sixty publications before selecting thirty which were obtained from Sciencedirect, Frontiers, Springer, Oxfordacadamic, Cabidigitallibrary, Wileyonlinelibrary, Cambridgeuniversitypress, Scijournals, Mdpi, Metabolismjournal; while using Prisma Flow Diagram as the research tool; acknowledging that human hormonal health risks from GMO consumption remain largely unknown due to …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 3, 2025 Read article
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Unani Concepts of Brain Pathology: Humoral Mechanisms in Māddī Neurological Disorders
Abstract: Background: The Unani System of Medicine (USM) considers the brain (Dimāgh) as the principal organ of Quwā Nafsāniyya (psychic faculties), responsible for sensation, cognition, memory, movement, and emotional regulation. According to Unani principles, health is maintained through equilibrium of Mizāj (temperament) and Akhlāṭ (humours), whereas disease develops when this balance is disturbed. Among neurological disorders, Sū’-i-Mizāj Māddī Dimāgh refers to pathological conditions of the brain associated with the accumulation of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 · pp. 21–29 Read article
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Exploring Emerging Water Disinfection Technologies: A focus on Hydrodynamic Cavitation
Abstract: Availability of clean drinking water is an ongoing global demand. Contaminated water sources, inappropriate waste disposal, and inadequate hygiene procedures exacerbate it. These elements support the growth of pathogenic microbes like bacteria, viruses, and parasites, which cause a variety of diseases that are transmitted by water. Disinfection plays a vital role in water treatment processes by eliminating these pathogens and ensuring public health safety. Commonly used methods like Chlorination, Ozonation, …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 1, 2024 · pp. 44–53 Read article
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Implement Explainable Machine Learning to Improve Conductivity in Polymer-CNT Nanocomposites: Supporting Adaptive, Flexible, and Long-Lasting IoT Wrap-Around Electronics Applications
Abstract: The rapid growth of Internet of Things (IoT) technologies requires electronic components that are adaptable, lightweight, and durable, and that can continue to function well in diverse contexts and circumstances. Polymer–carbon nanotube (CNT) nanocomposites have become interesting choices for these kinds of uses because they are more flexible, conduct electricity better, and can be made to fit specific needs. However, improving conductivity in these heterogeneous systems remains a major challenge …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 238–254 Read article
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INVESTIGATING PHYTOCHEMICAL INHIBITORS OF PSEUDOMONAS AERUGINOSA'S AHL SYNTHASE LASI: A PATH TOWARD NOVEL THERAPEUTIC AGENTS
Abstract: Objectives: This study intended to explore the potential of phytochemicals from Allium sativum to inhibit AHL synthase LasI, a critical protein of the Quorum Sensing (QS) pathway in Pseudomonas aeruginosa, with the ultimate objective of developing therapeutic agents for managing P. aeruginosa infections. Methods: The physicochemical properties, toxicity, aggregation ability and binding potential of phytochemicals from Allium sativum to the protein AHL synthase LasI were determined. Physicochemical properties, toxicity and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 3, 2023 · pp. 40–54 Read article
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Future Challenges of Photocatalytic Water Splitting: Sustainability
Abstract: Photocatalytic water splitting has emerged as a promising technology for sustainable hydrogen production through the direct utilization of solar energy. This process mimics natural photosynthesis, using semiconductor materials to absorb light and drive the decomposition of water into hydrogen and oxygen. The method provides a sustainable and eco-friendly solution to the global energy challenge by enabling the reduction of carbon emissions. Among various solar-to-chemical energy conversion approaches, photocatalytic water splitting …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 43–48 Read article
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Integrative Perspectives on Lipoma: Traditional Therapeutics from Siddha, Ayurveda, and Unani with Biomedical Correlates
Abstract: Background: Lipoma is the most common benign soft tissue tumor, with an incidence of approximately 2 per 1,000 individuals annually. Modern biomedicine attributes its pathogenesis to genetic abnormalities like HMGA2 rearrangements and dysregulated adipogenesis via PPARγ pathways. Effective pharmacological therapies are lacking. Traditional Indian systems – Siddha, Ayurveda, and Unani – offer unique perspectives and non‑surgical approaches yet remain underexplored in integrative research. Objective: To critically evaluate the descriptions, pathophysiological …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2026 · pp. 19–33 Read article
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MAC Unit Implementation on FPGA
Abstract: Multiply–accumulate (MAC) computations account for a large part of machine learning accelerator operations. The pipelined structure is usually adopted to improve the performance by reducing the length of critical paths. An increase in the number of flip-flops due to pipelining, however, generally results in significant area and power increase. Using this method, we create and build a cutset-free feedforward MAC architecture that maximizes data propagation and removes superfluous pipeline registers. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 29–37 Read article
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Critical Analysis of Pathyapathya Ahara in Tamaka Shwasa (Bronchial Asthma) in Children
Abstract: Introduction: Asthma is described as a hyper-reactive disorder of airways characterized by airway inflammation and bronchial secretions due to hyper-responsiveness of airway cells. The prevalence of asthma has shown consistently an upward trend through the last few decades, especially in children, and accounts for more school absences and more hospitalizations than any other chronic illness. Materials and Methods: Review from diverse Ayurvedic literatures, pediatric books, research journals, magazines and authentic …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 6, Issue 3, 2019 · pp. 22–30 Read article
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Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article
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Nanostructured Catalysts for Sustainable CO2 Reduction: Advancing Green Chemistry and Polymer Composites
Abstract: This study provides a comprehensive analysis of advanced nanostructured catalysts designed to enhance the efficiency of artificial photosynthesis for sustainable fuel production. We systematically evaluated a range of nanomaterials—including metal oxides, plasmonic nanoparticles, and carbon-based composites—to determine their effectiveness in converting solar energy into storable chemical fuels. The catalysts were synthesized via sol-gel, hydrothermal, and green methods, and their properties were thoroughly characterized using XRD, SEM, TEM, UV-Vis spectroscopy, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 175–181 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article