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703 articles for “conventional method”
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Towards a Digitalized and Environmentally Aligned Procurement Practice in Construction Project Delivery
Abstract: *Author for CorrespondenceAmadi Alolote IbimE-mail: amadialolote@yahoo.comspyadav68@gmail.com 1,21,2Senior Lecturer, Department of Quantity Surveying, Rivers State University, Port Harcourt, Nigeria Received Date: November May 2223, 20232Accepted Date: December July 020, 20232Published Date: December July 2025, 20232 Citation: Amadi Alolote Ibim, Beals Sampson AleleShatrughna Prasad Yadav, Boinapalli Harshitha Rao, Sai Bhargav Reddy, Banka Abhishek Yadav. Towards a Digitalized and Environmentally Aligned Procurement Practice in Construction Project DeliveryDesign of an Innovative Economically Efficient and …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 1, 2023 · pp. 17–22 Read article
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Concept Maps as an Educational Strategy to Enhance Critical Thinking among Student Nurses
Abstract: A quasi experimental study to assess the effectiveness of concept maps as a teaching strategy to facilitate critical thinking among student nurses with regard to congenital heart defects was conducted with primary objective to assess effectiveness of concept maps as a teaching strategy on critical thinking of student nurses with regard to congenital heart defects. Ethical clearance from the Institutional Review Board was obtained. The conceptual framework adopted was Stufflebeam’s …
Published in Journal of Nursing Science & Practice · Vol. 4, Issue 1, 2014 · pp. 30–37 Read article
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HPTLC Method Development and Validation for Rabeprazole Sodium in Pharmaceutical Formulation
Abstract: Background: The most common medication for acid related disorders stands as Proton pump inhibitor (PPI) Rabeprazole Sodium. The pharmaceutical formulations require essential quality control of Rabeprazole Sodium through reliable analytical methods to maintain reliability. HPTLC provides a cost-effective rapid method for drug quantification compared to conventional HPLC methods so how HPTLC stands as an appropriate method for drug determination. Objective: The emphasis of this research project involves developing and validating …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 18–24 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 386–407 Read article
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Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting
Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article
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Mitigation of Peak to Average Power Ratio in Orthogonal Frequency Division Multiplexing through SOP-PTS
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is a popular multicarrier modulation technology extensively employed in 4G wireless communication systems to transmit data over a dispersive channel. To address the Peak-to-Average Power Ratio (PAPR) issue in OFDM, a technique called Partial Transmit Sequence (PTS) is commonly utilized. The PTS method involves dividing the data block into non-overlapping sub-blocks and then combining them using phase factors to mitigate PAPR. However, the conventional PTS …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 32–39 Read article
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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Comparison of Tuning Methods of PID Controllers of Two Conical Tank System of Interacting Type
Abstract: The rapid increasing complexity of modern control systems has accentuated the idea of applying new modern approaches in order to solve design problems for various control engineering applications. This paper deals with the tuning of PID controllers for complex nonlinear process of two interacting Conical Tank Systems. Conical tanks play vital role in leaching extractions in pharmaceutical and chemical industries, as well as in food processing industry. It is a …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 3, 2014 · pp. 8–14 Read article
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Development of Software Packages for Computer Aided Design and Performance Analysis of Industrial Fractional Distillation Equipment
Abstract: This paper deals with improved CAD software packages that have been developed with the objective of improvising the existing conservative design of fractional distillation equipment. Since fractional distillation is extensively employed in petroleum refineries, distilleries and in a large number of chemical process industries, accurate design and optimised performance of these equipments are detrimental to the overall economy of these industries. Further, the efficient performance of the fractionators are dependent …
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 3, 2015 · pp. 15–41 Read article
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Therapeutic Efficacy of Artificial Intelligence based Counselling for Anxiety and Depression: A Systematic Review
Abstract: Background: The occurrence of the COVID-19 pandemic resulted in a notable rise in the prevalence of mental health issues, majorly anxiety and depression. Treatments like cognitive behavioural therapy (CBT) conducted in a face-to-face setting, have consistently demonstrated their effectiveness. Though not always accessible or reasonably priced for everyone, face-to- face treatment environments offer great assistance. AI-based counselling is starting to be a good replacement for those in need of real-time, …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 8–16 Read article
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Slope Stability Analysis by Swedish Slip Circle Method Using C-Programming
Abstract: The side slopes of an earthen dam should be safe against shear failure. Out of the various methods of stabilityanalysis of slopes, “Swedish Slip Circle Method” is commonly used in practice. Here in the Swedish circlemethod, potential failure surface is assumed to be cylindrical in shape (i.e., circular in cross section). Afterdetermining the actuating and resisting forces for assumed failure surface, the factor of safety is calculated. Theslope is considered …
Published in Recent Trends in Civil Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 47–68 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Performance Assessment of IRT Method for Distillation Model Control
Abstract: A Wood and Berry distillation column was considered for experimentation and the Improved Relay Tuning (IRT) method was applied for design of optimum PID settings. The closed loop response was obtained using optimum values of PID parameters and compared with that of conventional relay method and other non relay method. The integral square error (ISE) criterion for the performance assessment was used and it was found that the integral error …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 27–30 Read article
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E-Voting Application Using Blockchain
Abstract: Electronic voting (e-voting) is increasingly recognized as a method for improving the electoral process by enhancing security, accessibility, and efficiency. However, traditional e-voting systems present challenges, including security vulnerabilities, lack of transparency, and privacy concerns. This study presents an e-voting system powered by blockchain technology, designed to enhance decentralization, security, and protection against fraud. By leveraging blockchain’s features such as immutability, transparency, and cryptographic security, this model mitigates risks related …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 12–21 Read article
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Realtime Life Cycle Assessment, Synthesizing Life Cycle Inventory with Business Process Management, Sustainable Growth in the Fourth Industrial Revolution
Abstract: A prevalent methodology for evaluating the ecological impacts of processes and products throughout their entire life cycle is known as Life Cycle Assessment (LCA). This approach involves scrutinizing each phase, encompassing the extraction of raw materials, manufacturing, utilization, and disposal. Nevertheless, conventional LCA methods often fail to account for the dynamic nature of industrial processes and are deficient in real-time data. The Life Cycle Inventory (LCI), a pivotal component of …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Privacy Preservation Methods in Multimedia Applications: A Comprehensive Review
Abstract: This comprehensive review explores the current landscape of privacy preservation techniques in multimedia applications, offering a detailed examination of their effectiveness, limitations, and future directions. As the use of multimedia data continues to grow across diverse sectors such as healthcare, surveillance, social media, and entertainment, ensuring the confidentiality and integrity of this data has become a pressing concern. The study covers a broad spectrum of privacy-preserving approaches, from conventional cryptographic …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 33–41 Read article
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Selective Recovery of Valuable Chemicals from Tire Pyrolysis Oil: A Sustainable Approach
Abstract: The generation of waste/scrap/end-of-life tires (ELTs) poses severe environmental challenges globally. For the disposal of huge numbers of ELTs (generated every year) using conventional recycling methods, like as landfill or incineration, are not preferred due to their adverse environmental impacts. To overcome this problem, an alternative and promising technology is developed -the pyrolysis of waste tires. Pyrolysis is a thermochemical process that decomposes organic materials (Rubber Hydrocarbons) in the absence …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 3, 2025 · pp. 31–43 Read article
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Synthesis, Characterization and Antibacterial Evaluation of Novel Canola Oil-Based Poly-(Citrate/Succinate)-amide Incorporated with Zn (II) and Ni (II) Metal Ions
Abstract: This present research study is to fabricate efficient metal-incorporated Canola oil (CO) polymers synthesised using dicarboxylic acids – Citric acid (CA) and Succinic acid (SA). The research mainly highlights the fabrication of polymeric materials using CO via a safer chemical synthesis route with less toxic reactants and minimal solvent/diluent to accomplish sustainability, adopting the green chemistry principle. Divalent Zinc (Zn) and Nickel (Ni) were incorporated in the poly-(Citrate/Succinate)-amide matrix, Ni …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 45–69 Read article