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56 results for “Extraction Efficiency”

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Research ArticleOpen accessPhrase in the titleGrowth Performance, Biomass and Phytoextraction Efficiency of Acacia mangium and Melaleuca cajuputi in Remediating Heavy Metal Contaminated soilShibli Nik Mohd, Nik Muhamad Majid, Noor Azhar Mohamed Shazili, Arifin AbduHeavy metals are very toxic and soil contaminated with sewage sludge urgently need remediation in order to avoid related health hazards. Phytoremediation is a low cost and reliable technique to remediate heavy metal contamination. However phytoremediation using timber species was rarely reported and its efficiency was questionable. A field study was conducted to examine the efficiency of two timber species … …American Journal of Environmental Sciences, Vol. 9, Issue 4 · 28 Aug 2013 · 7,407 accessesView PDFCite
Research ArticleOpen accessIn the abstractCuticular Chitin of the Wild Silkworm Saturnia Pyri: A Renewable Source for Applications Across Industrial SectorsZarintaj Shukurova, Yusif Shukurlu, Zarbali Khalilov, Madina SharifovaIn the context of a developing sustainable bioeconomy, the search for renewable sources of biopolymers as alternatives to traditional ones is of crucial importance. In this regard, insect cuticular waste represents a promising yet insufficiently explored raw material for obtaining chitin and chitosan. This study aimed to perform a comparative assessment of the extraction efficiency and quality of chitin and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 7 Aug 2026 · 947 accessesView PDFCite
Research ArticleOpen accessIn the abstractCollection and Processing of Medicinal Raw Materials from Some Rare Plants in the Forest-Steppe Zone of Northern KazakhstanMarat Tynykulov, Svetlana Derbush, Marina Kuznetsova et al.Rare endemic plants of the forest-steppe zone of Northern Kazakhstan, including Adonis vernalis, Adonis wolgensis, Pulsatilla patens, and Pulsatilla multifida, represent valuable medicinal resources whose sustainable utilization requires optimized harvesting, processing, and conservation strategies. This study evaluated the effects of drying conditions, environmental factors, extraction techniques, and biotechnological approaches on the yield and quality of bioactive compounds from these species. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 1 Apr 2026 · 1,595 accessesView PDFCite
Literature ReviewOpen accessIn the abstractExtraction Performance of Essential Oils by Hydrodistillation Using Mathematical Models: A Systematic ReviewLenin Quiñones Huatangari, Frank Fernandez Rosillo, Eliana Milagros Cabrejos Barrios et al.Essential oils are complex mixtures of volatile organic compounds valued for their antimicrobial and antioxidant properties, with widespread applications in the food, pharmaceutical, and cosmetic industries. Among the various extraction techniques employed, hydrodistillation remains one of the most widely used methods. The extraction yield of essential oils by hydrodistillation is influenced by multiple factors, and quantifying these through mathematical modelling … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 25 Mar 2026 · 2,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractUltrasonic Microwave Assisted Extraction, Chemical Characterization and Antioxidant Activity of Polysaccharides from Fig LeavesBaikangzhe Zheng, Yang Miao, Yi Zhou et al.This study employed ultrasonic-microwave-assisted extraction (UMAE) to isolate water-soluble polysaccharides from fig (Ficus carica L.) leaves (FLPs). Polysaccharide yield was used as the primary index to evaluate extraction efficiency. The effects of material-liquid ratio, microwave power, extraction temperature, and extraction time on polysaccharide yield were systematically investigated through single-factor experiments, followed by response surface methodology optimization. Structural characterization and antioxidant … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 3 Mar 2026 · 1,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Different Extraction Methods on the Quality of Peony Seed Oil and Its Emulsion PropertiesKang Li, Chao Du, Shuxian Pang et al.Peony seed oil, as a functional oil rich in ω-3 polyunsaturated fatty acids and natural antioxidant components, has its extraction process directly affecting the maintenance of bioactive substances and the added value of the product. In this analysis, the effects of wet milling-micronized continuous leaching method (MCI), solvent extraction (SE), soxhlet extraction (SOXE) and ethanol-assisted enzymatic hydrolysis (EAH) on the … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 1,955 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessIn the abstractCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Binary Patterns Pyramid and Gabor Filters for Machine Learning-Based Nail Disease DetectionJagadeeswari Boopalan, Maruthu Perumal SabtharishiNail diseases, including Onychomycosis and Psoriasis, are common conditions that pose diagnostic challenges due to subtle clinical presentations and reliance on invasive methods. This study investigates the effectiveness of Binary Patterns Pyramid Filter (BPPF) and Gabor Filter (GF) as feature extraction techniques for machine learning-based nail disease detection, addressing three categories: Healthy, Onychomycosis, and Psoriasis. Using a dataset of 1,466 … …Journal of Computer Science, Vol. 21, Issue 8 · 2 Oct 2025 · 2,178 accessesView PDFCite