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74 articles for “pH gradient”
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Accumulation of Energy from Roads
Abstract: The technique of extracting energy through foreign factors is associated with energy harvesting (also termed as power harvesting, energy scavenging, or ambient power). These external sources can be characterised as solar radiation, energetic particles, hydroelectricity, salinity gradient, and change in momentum, often known as ambient energy caught, and preserved using smart materials as transducers, wireless autonomous devices, like those used in wearable electronics and wireless sensor networks. These minerals are …
Published in Trends in Electrical Engineering · Vol. 12, Issue 2, 2022 · pp. 7–12 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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Thermal Effects in High-Power Laser Systems: Modeling and Mitigation
Abstract: High-power laser systems are increasingly employed in industrial manufacturing, defense, medical procedures, and scientific research due to their ability to deliver high energy density with excellent spatial coherence. However, the performance and reliability of these systems are significantly influenced by thermal effects arising from optical absorption, non-radiative recombination, and inefficient heat dissipation within laser gain media and optical components. These thermal phenomena lead to adverse effects such as thermal lensing, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 9–13 Read article
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An Efficient Deep Learning Classifiers Algorithm for Examining Public Perception of Covid SOPs
Abstract: In December 2019, Wuhan, China, reported the first coronavirus case, confirming the current pandemic. Following that, it swept across the entire world. The leading cause of this disease is still unknown, though. Governments are emphasizing physical distance and wearing masks in public places. The people mostly ignore the safety SOPs, which results in a surge in infected people rates and a healthcare burden on the national economy. Through the identification …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 49–70 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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Drilling Fluid Characterization (Filtration Test)
Abstract: This report explores the formulation and testing of a water-based drilling mud used in drilling operations, where fluid circulates through the drillstring and returns to the surface. The study mixes 315 ml of water with 35 ml of corn oil to create the drilling mud and investigates the role of barite in increasing mud density to maintain a hydrostatic pressure capable of managing formation pressure. The findings reveal that increasing …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 17–26 Read article
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Machine Learning Driven Mobile Price Prediction Using Feature Selection and Parameter Optimization
Abstract: Machine learning calculations are utilized in many fields like money, training, industry, medication, and online business. Machine learning calculations show execution contrasts relying upon the dataset and handling steps. Picking the right calculation, preprocessing and post-handling techniques have incredible significance in accomplishing great outcomes. The Random Forest classifier, K-nearest neighbor classifier, and support vector machine methods are evaluated to forecast mobile phone price categories. The “prediction” dataset which is taken …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 18–25 Read article
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Investigation on the Benefits of Steam Adsorption and Distribution during Cyclic Steam Injection to Improve Oil Recovery - FNE Case Study, Sudan
Abstract: One of the main types of Enhanced Oil Recovery (EOR) methods is thermal stimulation method which is an increasingly common method of extracting heavy oil. there are different forms of the technology of thermal method Cyclic steam stimulation, Steam flooding and In-situ combustion “Fire flooding” are commonly applied to oil reservoirs, which are relatively shallow very viscous oil at the reservoir temperature, the most widely used steam injection methods for …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 1–21 Read article
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Internet of things (IoT) to harvest energy
Abstract: This article is a study to describe the internet of things (IoT) after industrial capability, especially to allocate electrical energy harvest. The usual method of renewable and clean sources of energy is selected for wireless sensor nodes (WSN). Inclusive harvest energy applied sustainable power supply sources such as mechanical motion, radiation, thermal gradient, and light. Smart energy harvests for IoT networks supported by femtocells empower nodes. Electrical power has been …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 2, 2021 Read article
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Aceclofenac and Diclofenac Sodium Conjugates with Amino Acids to Overcome Acidity
Abstract: This research work was based on a conjugate approach with some non-steroidal anti-inflammatory drugs (NSAIDs) to overcome the side effects like gastric irritation, solubility behavior, and some other effects of NSAIDs. Almost all the NSAIDs have undesirable reactions as well as they cause some types of major adverse reactions. Here the prodrugs conjugates are the approaches that increase the lipophilicity of the drug and decrease the solubility in water by …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 12, Issue 2, 2022 · pp. 19–25 Read article
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Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article
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A Note On Design Methodology For Sheet Pile In A River With Large Tidal Variation
Abstract: The stretch of river Ganges from Kolkata to Haldia port experiences high variation of tide and occasionally experiences remarkable phenomena of bore tides which take place under the right hydraulic and astronomical conditions. A tidal bore, consisting of the head-wave of an advancing tide, hemmed in where the estuary narrows suddenly into the river moves rapidly up the river at speeds reaching 10 m/s. Further, the rise of water depth …
Published in Journal of Offshore Structure and Technology · Vol. 9, Issue 1, 2022 · pp. 17–33 Read article
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Elemental Mobility and Provenance in Sediments: A Geochemical Study of Deccan Basalts, Bay of Bengal, and Northern China
Abstract: Twenty-eight sediment samples from seventeen rivers, including the Krishna headwaters and the west-flowing Western Ghat rivers, draining the Deccan Trap basalts, were analyzed for major elements (Na, Ca, Mg, K, Al, Ti, Fe) and trace elements (Sr, Ba, Mn, P, V, Cr, Ni, Cu, and Zn). The mobility of these elements, especially Na, Ca, Mg, and Sr, was assessed by comparing their abundances in sediments and dissolved phases. Approximately 60% …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 19–27 Read article
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Novel Synthesis of Encapsulated Super Paramagnetic Iron Nanoparticles (Fe3O4) and its Evaluation in Drug Delivery System
Abstract: Nanoparticles can be defined as solid, submicron, colloidal particles ranging in size from 10–100 nm in diameter, generally but not necessarily made of natural or synthetic polymers, in which drugs can be adsorbed, entrapped, that exhibit new or enhanced size-dependent properties as compared to microparticles. Iron oxide nanoparticles are often magnetic by nature, which means that they obey Coulomb’s law, and can be manipulated by an external magnetic field gradient. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 7, Issue 2, 2016 · pp. 11–24 Read article