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1972 articles for “Octadec-9-enoic acid methyl esters” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Monitoring the Effectiveness of Water-Based Plants for the Inhibition of Metal
Abstract: The temperature performance profile of the plant extracts shows that inhibition efficiency increased with increasing temperature of the system until at about 323K at 9.00hrs immersion time where a decline in inhibition efficiency occurred implying the opposite at higher temperatures and longer immersion time. Corrosion rate parameters changed with rise in temperature and exposure – immersion time. Plots of rates of corrosion against the volume(s) of the test inhibitor(s) in …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 37–46 Read article
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The Integrity of Bio-Stimulant Efficiency of Mint Leaf (Mentha Piperita) on Crude Oil Remediation in Soil Environment
Abstract: This research addresses the integrity of biostimulant efficiency of mint leaf (Mentha piperita) on crude oil remediation in soil environments. The soil environment consideration in this investigation is loamy and some soil properties were examined; obtained data revealed a nitrogen value of 5.82%, phosphorus value of 46.91mg/kg, potassium value of 417.51mg/kg, and hydrogen-utilizing bacteria (HUB) value of 13.19cfu/g for unpolluted loamy soil, whereas polluted soil with crude oil data are …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 41–47 Read article
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Design And Implementation Of A Multi-Modal Mobile Application Safety Analytics Utilizing Nlp
Abstract: This study suggests a multi-modal mobile app safety analytics platform that uses natural language processing (NLP) to handle voice, text, and SOS messages. For effective intent recognition and decision-making, the platform processes all messages in a standard text or SOS flag format. Tokenization and normalization are used to process text communications, whereas noise reduction and text conversion are used to handle voice messages. For a quicker response, the SOS messages …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Formulation and Evaluation of Betel Leaf and Clove Based Herbal Gel
Abstract: This study developed and assessed a herbal gel comprising extracts of betel leaf (Piper betle) and clove (Syzygium aromaticum) for topical use. Herbal extracts were prepared by Soxhlet extraction and analyzed for yield, phytochemical profile and total phenolic content (TPC). The phytochemicals present were alkaloids, flavonoids, tannins and phenols, and glycosides, with a greater phenolic content for clove extract. Herbal gels were prepared using Carbopol 934 and assessed for properties, …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 2, 2026 · pp. 08–15 Read article
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A Low-Cost Multi-Sensor IoT System for Real-Time Segregation of Polymer Waste
Abstract: Segregation of solid waste is a critical aspect of waste management, especially in settings where technical and financial constraints limit the adoption of sophisticated technologies. The proposed low cost, sensor-driven smart waste sorting system combines a variety of sensing technologies with an integrated decision-making system. The system employs an inductive sensor, moisture sensor and capacitive sensor to measure the physical properties of waste items, allowing segregation into metal, wet and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 90–`107 Read article
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Extraction and Characterization of Pectin from Malabar Tamarind, and Indian Wild Lime
Abstract: Pectin is a versatile heteropolysaccharide that is widely used in the food, pharmaceutical, and biomedical industries because of its gelling, stabilizing, and emulsifying properties. This review discusses the extraction of pectin from agro-waste peels of Malabar tamarind (Garcinia cambogia) and Indian wild lime (Citrus indica) using conventional acid hydrolysis under optimized conditions: pH 1.5–2.0, 85–90°C, and 90 minutes. The process resulted in 22.5% and 27.8% pectin yields, respectively, verified through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 472–478 Read article
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Systematic Review on: Peptic Ulcer and Its Management
Abstract: Peptic ulcer disease (PUD), which affects 5–10% of people worldwide, is still a significant global health concern. Gastric acid and pepsin's corrosive effects cause mucosal injury in the stomach, duodenum, or lower oesophagus. Long-term use of nonsteroidal anti-inflammatory drugs (NSAIDs) and Helicobacter pylori infection are the primary reasons. This review's goal is to examine PUD's aetiology, risk factors, pathophysiology, clinical symptoms, diagnostic methods, and evidence-based treatment modalities. PubMed, Google Scholar, …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 Read article
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Optimized Utilization of Kota Stone Slurry Waste in Fly Ash–Based Geopolymer Mortar: A Taguchi-Driven Approach
Abstract: The large-scale generation of stone-processing wastes presents a critical sustainability challenge and an opportunity for value-added reuse in construction materials. This study develops a high-performance fly ash geopolymer mortar by partially replacing Class F fly ash with Kota stone slurry waste (KSSW) and optimizing the key mix parameters using a Taguchi design framework. Five governing factors—binder replacement level, NaOH molarity, sodium silicate–to–sodium hydroxide ratio (SS/SH), curing temperature, and alkaline solution-to-binder …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 426–445 Read article
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Development of Neuromorphic Polymer Composites Using IoT Sensing and Brain-Inspired Learning Algorithms
Abstract: This research aims to develop neuromorphic polymer composites by combining conductive sensing materials, IoT-based sensing data collection and brain-inspired learning models for adaptive response. Hybrid conductive polymer composites were developed by adding carbon nanofibers and graphene Nano platelets to a thermoplastic polymer. IoT sensors (strain, temperature) were employed to collect real-time sensing data that was combined with environmental data. A material-aware neuromorphic learning algorithm was created with event-driven spike coding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 755–784 Read article
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Nutrient Sensing and Microbiota Crosstalk: Driving Determinants Shaping Metabolic Stability and Adaptive Physiology for Animal Health
Abstract: Nutrient sensing is a fundamental cellular process that enables animals to adapt to fluctuating dietary inputs while maintaining metabolic homeostasis and health. Recent advances reveal that the gut microbiota functions as an active metabolic partner, producing bioactive metabolites that directly influence host nutrient-sensing pathways and downstream cellular responses. This review synthesizes current knowledge on the integration of key signalling networks, including adenosine monophosphate activated protein kinase (AMPK), mechanistic target of …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 Read article
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A Comprehensive Review on the Role of Antacids in the Management of Stomach Disorders
Abstract: Antacids are among the most widely used over-the-counter medications for the symptomatic management of acid-related gastrointestinal disorders, including dyspepsia, gastroesophageal reflux disease (GERD), gastritis, and peptic ulcer disease. These agents provide rapid relief by neutralizing gastric hydrochloric acid, thereby increasing intragastric pH and reducing mucosal irritation. In addition to their therapeutic benefits, the long-term and excessive use of antacids may be associated with adverse effects and toxicological concerns, including electrolyte …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 2, 2026 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Transfer Learning Based High-Precision Multi-Class Object Detection for Real-Time UAV Autonomous Landing via YOLOv8l in Unstructured Scenarios
Abstract: A significant challenge for autonomous drone landings in unstructured environments is that of reliably detecting and identifying objects in real-time to ensure safety and accuracy of the landing area. This paper presents a well-founded method for solving this problem using the YOLOv8l object detection framework to detect landing zones, obstacles and people in the relevant vicinity of the landing area. The dataset used for the training of the model contained …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Optical Character Recognition of 10 × 10 Size Binary Images
Abstract: Ten binary images of size 10 × 10 for each of the decimal numbers from 0 to 9 are considered for the simulation setup. Applying different processing techniques on these images, information contents were extracted. Initially, no noise was added in these images and character recognition of 100% was obtained. After that, noise is added in these images (i.e., images were distorted) but even then 9 out of 10 images …
Published in Current Trends in Signal Processing · Vol. 1, Issue 1-3, 2025 · pp. 30–32 Read article
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Formation, Analysis and Characterization of Wood Pyrolysed Oil
Abstract: Pyrolysis of wood is the possible path for converting biomass to higher valuable products such as bio-oil, bio-char and bio-gas. Bio-oil or liquid bio-fuels have higher heating values, so it can store and transport more conveniently the by-products bio-char and bio-gas, which can be used to provide heat required in the process. This work is focused on the formation, analysis and characterization of bio-oil which was obtained from the mixed …
Published in Emerging Trends in Chemical Engineering · Vol. 3, Issue 2, 2016 · pp. 36–41 Read article
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Design and Control of Acetaldehyde Production Process
Abstract: This paper discusses the steady state and dynamic simulations of acetaldehyde production process by using Aspen Plus and Aspen Dynamics. The model developed in the present study is the modification of the process developed by Eastman Chemical Company of U.S. Patent 6,121,498. The proposed design consists of a FEHE (feed effluent heat exchanger), reactor, absorption column, compressors and two distillation columns. Acetic acid reacts with hydrogen and gives acetaldehyde as …
Published in Emerging Trends in Chemical Engineering · Vol. 1, Issue 1, 2014 · pp. 11–21 Read article
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Investigation on the Characteristics of Oil from Different Species of Cocos Nucifera
Abstract: The study evaluates the characteristies of the extracted oil from different species of coconut (Cocos Nucifera) obtained within the Niger Delta region, Nigeria. The coconut species consists of West Coast Tall (Species A), East Coast Tall (Species B), Maypan (Species C), Tiptur (Species D), Orange dwarf (Species E), Green Dwarf (Species F), Malayan yellow (Species G), Fiji Dwarf (Species H), Macapuna (Species I) and Kings (Species J). The results from …
Published in Emerging Trends in Chemical Engineering · Vol. 8, Issue 3, 2021 · pp. 17–33 Read article
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Modelling the Reliability and unreliability of Selected Gas Plant Units
Abstract: This research demonstrates the reliability analysis of some units of some selected Gas Plant. In the study, unit plants of reboiler, stripper, cooling, compressor, acid dehydrated, heat transfer fluid, expander, and liquefaction were examined in terms of reliability and unreliability for a period of eight years. The results obtained revealed decrease in reliability value of unit plant with increase in period of utilization, whereas unreliability and cost increased with increase …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 2, 2022 · pp. 1–18 Read article
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Analysis of Quicklime Production from Eggshell through Factorial Study
Abstract: Factorial analysis is a method used in experimental design to assess the impact of different input factors on the resulting output. Quicklime is used extensively in many sectors, including those that produce paper, glass, tannery products, agriculture, water treatment, building, and agriculture. This study focused on evaluating key parameters in the calcination process, specifically calcination temperature, calcination time, and the size of eggshell and snail shell particles. The study successfully …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 2, 2023 · pp. 18–22 Read article