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Journal articles on the topic 'Extraction Mechanism'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

Li, Hui-fang, Li-juan Li, and Wu Li. "Study of lithium extraction mechanism by TBP extraction system." Chemical Physics Letters 791 (March 2022): 139371. http://dx.doi.org/10.1016/j.cplett.2022.139371.

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2

Jv, Caixia, Fenggang Li, Peng Yan, et al. "Analysis of Carbon Tetrachloride-Extractable Species from Daxing Bituminous Coal." Applied Sciences 10, no. 2 (2020): 494. http://dx.doi.org/10.3390/app10020494.

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Soxhlet extraction (SE), ultrasonic-assisted extraction (UAE), and microwave-assisted extraction (MAE) were carried out on Daxing coal with carbon tetrachloride. The extracted components were analyzed by GC-MS while the residues of the coal after extractions were analyzed by FT-IR spectroscopy. The obtained IR spectra indicated that the functional groups were barely changed in strength for the coal before and after extractions concluding that the macromolecular structures of coal were not destroyed in the extraction processes. XRD diagrams showed the peak around θ = 47 was totally disappeared
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Dyachok, Vasyl, and Igor Ilkiv. "On the Mechanism of Extraction from Solid Bodies of Cellular Structure." Chemistry & Chemical Technology 7, no. 1 (2013): 27–30. http://dx.doi.org/10.23939/chcht07.01.027.

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4

Kassaie, Besat, and Frank Wm Tompa. "Autonomously Computable Information Extraction." Proceedings of the VLDB Endowment 16, no. 10 (2023): 2431–43. http://dx.doi.org/10.14778/3603581.3603585.

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Most optimization techniques deployed in information extraction systems assume that source documents are static. Instead, extracted relations can be considered to be materialized views defined by a language built on regular expressions. Using this perspective, we can provide an efficient verifier (using static analysis) that can be used to avoid the high cost of re-extracting information after an update. In particular, we propose an efficient mechanism to identify updates for which we can autonomously compute an extracted relation. We present experimental results that support the feasibility a
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Al-Bazi, S. J., and Henry Freiser. "Kinetics and mechanism of back-extraction: selected palladium extraction systems." Analytica Chimica Acta 245 (1991): 225–33. http://dx.doi.org/10.1016/s0003-2670(00)80226-3.

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6

Bao, Nengsheng, Yawei Ma, Xiang Wei, and Zuodong Liang. "Dynamic facial expression recognition based on attention mechanism." Journal of Physics: Conference Series 2816, no. 1 (2024): 012108. http://dx.doi.org/10.1088/1742-6596/2816/1/012108.

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Abstract In the wild, dynamic facial emotion recognition is a highly challenging task. Traditional approaches often focus on extracting discriminative features or preprocessing data to remove noisy frames. The former overlooks differences between keyframes and noise frames, while the latter can be complex and less robust. To address this issue, we propose a spatiotemporal feature extraction network based on an attention mechanism. In the spatial feature extraction stage, our method incorporates prior knowledge through an attention mechanism, allowing the model to precisely select and focus on
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Turhan-Sayan, G., and A. K. Dominek. "Frequency domain mechanism extraction (EM scattering)." IEEE Transactions on Antennas and Propagation 38, no. 10 (1990): 1716–19. http://dx.doi.org/10.1109/8.59788.

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8

Bari, Md Fazlul, Bahruddin Saad, Ismail Abdur Rahman, and Muhammad Idiris Saleh. "Extraction mechanism of Gd3+ by BTMPPA." Journal of Alloys and Compounds 436, no. 1-2 (2007): 187–94. http://dx.doi.org/10.1016/j.jallcom.2006.07.004.

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9

Sunol, Aydin K., and Gerhard H. Beyer. "Mechanism of supercritical extraction of coal." Industrial & Engineering Chemistry Research 29, no. 5 (1990): 842–49. http://dx.doi.org/10.1021/ie00101a019.

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10

Han, Dongchen, Zhaoqian Zheng, Hui Zhao, Shanshan Feng, and Haiting Pang. "Span-based single-stage joint entity-relation extraction model." PLOS ONE 18, no. 2 (2023): e0281055. http://dx.doi.org/10.1371/journal.pone.0281055.

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Extracting entities and relations from the unstructured text has attracted increasing attention in recent years. The existing work has achieved considerable results, yet it is difficult to solve entity overlap and exposure bias. To address cascading errors, exposure bias, and entity overlap in existing entity relation extraction approaches, we propose a joint entity relation extraction model (SMHS) based on a span-level multi-head selection mechanism, transforming entity relation extraction into a span-level multi-head selection problem. Our model uses span-tagger and span-embedding to constru
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11

Panda, Debabrata, and Sivakumar Manickam. "Cavitation Technology—The Future of Greener Extraction Method: A Review on the Extraction of Natural Products and Process Intensification Mechanism and Perspectives." Applied Sciences 9, no. 4 (2019): 766. http://dx.doi.org/10.3390/app9040766.

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With growing consumer demand for natural products, greener extraction techniques are found to be potential alternatives especially for pharmaceutical, nutraceutical, and cosmetic manufacturing industries. Cavitation-based technology has drawn immense attention as a greener extraction method, following its rapid and effective extraction of numerous natural products compared to conventional techniques. The advantages of cavitation-based extraction (CE) are to eliminate the application of toxic solvents, reduction of extraction time and to achieve better extraction yield, as well as purity. The c
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12

Sun, Changjian, Wentao Chen, Zhen Zhang, and Tian Zhang. "A Patent Keyword Extraction Method Based on Corpus Classification." Mathematics 12, no. 7 (2024): 1068. http://dx.doi.org/10.3390/math12071068.

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The keyword extraction of patents is crucial for technicians to master the trends of technology. Traditional keyword extraction approaches only handle short text like title or claims, but ignore the comprehensive meaning of the description. This paper proposes a novel patent keyword extraction method based on corpus classification (PKECC), which simulates the patent understanding methods of human patent examiners. First of all, a corpus classification model based on multi-level attention mechanism adopts the Bert model and hierarchical attention mechanism to classify the sentences of patent de
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13

Shi, Guolin, Longfei Lin, Yuling Liu, et al. "Study on the Mechanism of Ionic Liquids Improving the Extraction Efficiency of Essential Oil Based on Experimental Optimization and Density Functional Theory: The Fennel (Foeniculi fructus) Essential Oil Case." Molecules 26, no. 11 (2021): 3169. http://dx.doi.org/10.3390/molecules26113169.

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In this work, microwave-assisted ionic liquids treatment, followed by hydro-distillation (MILT-HD), as an efficient extraction technology, was used to extract essential oil. The purpose for this was to use multivariate analysis (MVA) models to investigate the effects of potential critical process parameters on the extraction efficiency of essential oil, and explore the mechanism of ionic liquids (ILs). According to the design of experiment (DoE), under optimal process conditions, the extraction efficiency of essential oil was dramatically enhanced, and had low energy demands. Since little is k
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14

Hai, Tran Chi. "A RESEARCH ON KINETIC MODELLING ON EXTRACTION OF TOTAL POLYPHENOL FROM OLD TEA LEAVES." Vietnam Journal of Science and Technology 55, no. 5A (2018): 218. http://dx.doi.org/10.15625/2525-2518/55/5a/12198.

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In this study, kinetic modeling by investigating the effect of material sizes, water/material ratios and temperatures was conducted. Polyphenol concentration increased with reducing size, increasing the water/material ratio and temperature. The results showed that under extraction conditions such as the material size of 0.3 mm, the water/sample ratio of 15/1, the extracting temperature of 60 oC, and extracting time of 40 minutes, the polyphenol content obtained was of 77.33 mgGAE.g-1 with value of initial extraction rate reached 50.90 mgGAE.g-1.min-1 and the activation energy was determined as
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15

Cui, Can, Yongrou Fang, Yujie Mu, et al. "Xanthoceras Sorbifolium Bunge Oil: Extraction Methods, Purification of Functional Components, Health Benefits, and Applications in Production and Daily Life." Foods 14, no. 6 (2025): 1004. https://doi.org/10.3390/foods14061004.

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Xanthoceras sorbifolium Bunge is an oil-bearing shrub native to China, whose seeds are rich in oil and can be used for extracting edible oil. The primary extraction methods for Xanthoceras sorbifolium Bunge oil (XSBO) include pressing, solvent extraction (SE), ultrasound-assisted extraction (UAE), aqueous enzymatic extraction (AEE), micro-wave-assisted extraction (MAE), and supercritical carbon dioxide extraction (SFE-CO2). This review not only compares the advantages and disadvantages of these oil extraction techniques regarding extraction principles, oil yield efficiency, and cost-effectiven
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Li, Shanshan, Guangyu Wang, Junjie Zhao, Penghui Ou, Qingping Yao, and Wei Wang. "Ultrasound-Assisted Extraction of Phenolic Compounds from Celtuce (Lactuca sativa var. augustana) Leaves Using Natural Deep Eutectic Solvents (NADES): Process Optimization and Extraction Mechanism Research." Molecules 29, no. 10 (2024): 2385. http://dx.doi.org/10.3390/molecules29102385.

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Natural deep eutectic solvents (NADESs), as emerging green solvents, can efficiently extract natural products from natural resources. However, studies on the extraction of phenolic compounds from celtuce (Lactuca sativa var. augustana) leaves (CLs) by NADESs are still lacking. This study screened the NADES L-proline-lactic acid (Pr-LA), combined it with ultrasound-assisted extraction (UAE) to extract phenolic compounds from CLs, and conducted a comparative study on the extraction effect with traditional extraction solvents. Both SEM and FT-IR confirmed that Pr-LA can enhance the degree of frag
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17

Jie, Yinggang, Jiarong Huang, and Yingyan Wu. "An Entity based Approach for Extracting Relationship between Chinese Characters." Academic Journal of Science and Technology 6, no. 2 (2023): 128–36. http://dx.doi.org/10.54097/ajst.v6i2.9864.

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Knowledge extraction includes the extraction of entity relationships, which is crucial. Deep learning algorithms are increasingly prevalent in relation extraction tasks when compared to conventional pattern recognition techniques. The majority of current research on remotely supervised methods and kernel functions in relationship extraction strategies for Chinese language cannot disregard the detrimental effects of noisy data in the dataset on the experimental findings. A bidirectional GRU neural network, a two-layer attention mechanism, and a Chinese relationship extraction model are proposed
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18

Chang, Chun-Ming, Hao-Chun Yang, and Pawel L. Urban. "On the mechanism of automated fizzy extraction." PeerJ Analytical Chemistry 1 (December 20, 2019): e2. http://dx.doi.org/10.7717/peerj-achem.2.

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Fizzy extraction (FE) facilitates analysis of volatile solutes by promoting their transfer from the liquid to the gas phase. A carrier gas is dissolved in the sample under moderate pressure (Δp ≈ 150 kPa), followed by an abrupt decompression, what leads to effervescence. The released gaseous analytes are directed to an on-line detector due to a small pressure difference. FE is advantageous in chemical analysis because the volatile species are released in a short time interval, allowing for pulsed injection, and leading to high signal-to-noise ratios. To shed light on the mechanism of FE, we ha
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19

Dominek, A., L. Peters, and W. Burnside. "A time domain technique for mechanism extraction." IEEE Transactions on Antennas and Propagation 35, no. 3 (1987): 305–12. http://dx.doi.org/10.1109/tap.1987.1144086.

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20

López, Cesar A., Alex H. de Vries, and Siewert J. Marrink. "Molecular Mechanism of Cyclodextrin Mediated Cholesterol Extraction." PLoS Computational Biology 7, no. 3 (2011): e1002020. http://dx.doi.org/10.1371/journal.pcbi.1002020.

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21

Nytén, Anton, Saeed Kamali, Lennart Häggström, Torbjörn Gustafsson, and John O. Thomas. "The lithium extraction/insertion mechanism in Li2FeSiO4." J. Mater. Chem. 16, no. 23 (2006): 2266–72. http://dx.doi.org/10.1039/b601184e.

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22

Harada, Makoto, Yoshikazu Miyake, and Yoshitaka Kayahara. "Kinetic mechanism of metal extraction with hydroxyoximes." JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 22, no. 2 (1989): 168–77. http://dx.doi.org/10.1252/jcej.22.168.

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23

Adschiri, Tadafumi, Shinji Abe, and Kunio Arai. "Mechanism of supercritical fluid extraction of coal." JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 24, no. 6 (1991): 715–20. http://dx.doi.org/10.1252/jcej.24.715.

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24

Mancini, Maria Vincenza, Nicoletta Spreti, Pietro Di Profio, and Raimondo Germani. "Understanding mercury extraction mechanism in ionic liquids." Separation and Purification Technology 116 (September 2013): 294–99. http://dx.doi.org/10.1016/j.seppur.2013.06.006.

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25

Chen, Zhe, Huibin Wang, Lizhong Xu, and Jie Shen. "Visual-adaptation-mechanism based underwater object extraction." Optics & Laser Technology 56 (March 2014): 119–30. http://dx.doi.org/10.1016/j.optlastec.2013.07.003.

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26

Mezzetti, Claudio. "Mechanism Design with Interdependent Valuations: Surplus Extraction." Economic Theory 31, no. 3 (2006): 473–88. http://dx.doi.org/10.1007/s00199-006-0104-8.

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27

Ashtari, Amirsaman, Chang Wook Seo, Cholmin Kang, Sihun Cha, and Junyong Noh. "Reference Based Sketch Extraction via Attention Mechanism." ACM Transactions on Graphics 41, no. 6 (2022): 1–16. http://dx.doi.org/10.1145/3550454.3555504.

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We propose a model that extracts a sketch from a colorized image in such a way that the extracted sketch has a line style similar to a given reference sketch while preserving the visual content identically to the colorized image. Authentic sketches drawn by artists have various sketch styles to add visual interest and contribute feeling to the sketch. However, existing sketch-extraction methods generate sketches with only one style. Moreover, existing style transfer models fail to transfer sketch styles because they are mostly designed to transfer textures of a source style image instead of tr
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28

Abbas, Zaheer, Yucui Tong, Junyong Wang, et al. "Potential Role and Mechanism of Mulberry Extract in Immune Modulation: Focus on Chemical Compositions, Mechanistic Insights, and Extraction Techniques." International Journal of Molecular Sciences 25, no. 10 (2024): 5333. http://dx.doi.org/10.3390/ijms25105333.

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Mulberry is a rapidly growing plant that thrives in diverse climatic, topographical, and soil types, spanning temperature and temperate countries. Mulberry plants are valued as functional foods for their abundant chemical composition, serving as a significant reservoir of bioactive compounds like proteins, polysaccharides, phenolics, and flavonoids. Moreover, these compounds displayed potent antioxidant activity by scavenging free radicals, inhibiting reactive oxygen species generation, and restoring elevated nitric oxide production induced by LPS stimulation through the downregulation of indu
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Jhanji, Palvi, Palvi Jhanji, and Dr Neha Sharma. "Microwave assisted extraction of food colorants: principle, mechanism, extraction technique and applications." International Journal of Advanced Biochemistry Research 8, no. 8 (2024): 1202–13. http://dx.doi.org/10.33545/26174693.2024.v8.i8o.1950.

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30

Lucy, Charles A., and Frederick F. Cantwell. "Mechanism of extraction and band broadening in solvent extraction-flow injection analysis." Analytical Chemistry 61, no. 2 (1989): 107–14. http://dx.doi.org/10.1021/ac00177a006.

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31

Li, Hui-fang, Li-juan Li, Lian-min Ji, Xiao-wu Peng, and Wu Li. "The extraction ability and mechanism in extraction lithium by several organic extractants." Chemical Physics Letters 733 (October 2019): 136668. http://dx.doi.org/10.1016/j.cplett.2019.136668.

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32

Cho, You-Sang, Ho-Jung Song, Ju-Hyuck Han, and Yong-Suk Kim. "Attention Mechanism-Based Glaucoma Classification Model Using Retinal Fundus Images." Sensors 24, no. 14 (2024): 4684. http://dx.doi.org/10.3390/s24144684.

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This paper presents a classification model for eye diseases utilizing attention mechanisms to learn features from fundus images and structures. The study focuses on diagnosing glaucoma by extracting retinal vessels and the optic disc from fundus images using a ResU-Net-based segmentation model and Hough Circle Transform, respectively. The extracted structures and preprocessed images were inputted into a CNN-based multi-input model for training. Comparative evaluations demonstrated that our model outperformed other research models in classifying glaucoma, even with a smaller dataset. Ablation s
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Wang, Bao Qiang, and Liang Liang Yang. "Effects to Active Composition of Tibetan Medicinal Materials with Twinkling Ultrasonic Cavitation." Advanced Materials Research 152-153 (October 2010): 1660–64. http://dx.doi.org/10.4028/www.scientific.net/amr.152-153.1660.

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To get higher rate of medicinal active ingredients of Tibetan medicine, the high-energy ultrasonic extraction technology is used. But the effect mechanism of acoustic cavitation to the chemical structure of the drugs is not clear yet. It is because that the theoretical and experimental researches are not enough. The research contents: the impact mechanism of HI ultrasound to the chemical structure of extracts should be tested comparing with other extraction technology, and the chemical composition of extracts with the different sound field parameters, media conditions, and process parameters.
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Hong, Liang, Wenjun Hou, Zonghui Wu, and Huijie Han. "A cooperative crowdsourcing framework for knowledge extraction in digital humanities – cases on Tang poetry." Aslib Journal of Information Management 72, no. 2 (2020): 243–61. http://dx.doi.org/10.1108/ajim-07-2019-0192.

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PurposeThe purpose of this paper is to propose a knowledge extraction framework to extract knowledge, including entities and relationships between them, from unstructured texts in digital humanities (DH).Design/methodology/approachThe proposed cooperative crowdsourcing framework (CCF) uses both human–computer cooperation and crowdsourcing to achieve high-quality and scalable knowledge extraction. CCF integrates active learning with a novel category-based crowdsourcing mechanism to facilitate domain experts labeling and verifying extracted knowledge.FindingsThe case study shows that CCF can eff
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Fan, Jing Cun, Feng Chao Wang, Jie Chen, et al. "Molecular mechanism of viscoelastic polymer enhanced oil recovery in nanopores." Royal Society Open Science 5, no. 6 (2018): 180076. http://dx.doi.org/10.1098/rsos.180076.

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Polymer flooding is a promising chemical enhanced oil recovery (EOR) method, which realizes more efficient extraction in porous formations characterized with nanoscale porosity and complicated interfaces. Understanding the molecular mechanism of viscoelastic polymer EOR in nanopores is of great significance for the advancement of oil exploitation. Using molecular dynamics simulations, we investigated the detailed process of a viscoelastic polymer displacing oil at the atomic scale. We found that the interactions between polymer chains and oil provide an additional pulling effect on extracting
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Wang, Jian, Lian Chen, Long Kui Jiang, Liang Gang Yi, Sheng Quan Huang, and Yong Jun Zhang. "Research on Application Mechanism of Vanadium Extraction Tailings by Cleaner Production." Applied Mechanics and Materials 260-261 (December 2012): 637–41. http://dx.doi.org/10.4028/www.scientific.net/amm.260-261.637.

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In order to make sure the application direction of vanadium extraction tailings, basic characteristics, slagging mechanism of vanadium extraction tailings as well as thermal decomposition temperature and absorbed heat of CaSO4 in vanadium extraction tailings are analyzed, in addition, the effect of charging vanadium extraction tailings under supersaturation state on the sulfur content in steel is studied by using induction furnace under low sulfur condition. The results of research and application indicate that vanadium extraction tailings after desulfuration treatment can be used to steelmaki
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Semenyshyn, Yevgen, Volodymyr Atamanyuk, Tetiana Rymar, Oleksandr Ivashchuk, and Anna Hlukhaniuk. "Mass Transfer in the Solid-Liquid System: Mechanism and Kinetics of the Extraction Process." Chemistry & Chemical Technology 14, no. 1 (2020): 121–28. http://dx.doi.org/10.23939/chcht14.01.121.

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38

Feng, Cunao, Yujie Zhao, Tao Zhang, Kai Chen, Xiaowei Li, and Dekun Zhang. "Separation and Extraction of Mixed Grinding Chips of Artificial Joints with Different Densities by Multiple Centrifugal Separations." Lubricants 10, no. 9 (2022): 226. http://dx.doi.org/10.3390/lubricants10090226.

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Aseptic loosening caused by the wear and tear of the artificial joint prosthesis after implantation is one of the main causes of artificial joint failure. Therefore, it is important to investigate the wear debris generated due to wear when developing new artificial joint materials. Aseptic loosening is related to the size, number, and morphology of wear debris, and this study proposed the separation and extraction of mixed wear debris with different density ratios of artificial joints by centrifugation to study the characteristics of different artificial joint wear and wear debris extraction r
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Kong, Shasha, Qian Liao, Yuling Liu, Ruying Tang, Longfei Lin, and Hui Li. "Efficient and Selective Extraction of Prenylated Flavonoids from Sophora flavescens Using Ultrasound-Assisted Hydrophobic Ionic Liquid and Characterization of Extraction Mechanism." Molecules 30, no. 3 (2025): 500. https://doi.org/10.3390/molecules30030500.

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As a secondary metabolite with vigorous pharmacological activity (antitumor), prenylated flavonoids in Sophora flavescens (PFS) have great potential to be transformed into lead compounds. Its extraction has attracted more and more attention. Conventional organic solutions cannot selectively extract PFS and then need to carry out liquid–liquid extraction and multi-step column separation, which is time-consuming and pollutes the environment. This study found that [C8mim]BF4 had a high efficiency and selectivity for extracting PFS. Under the optimal extraction parameters, the yield of PFS was 7.3
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Daisheva, Nailya, Semen Semenihin, Vladimir Gorodeckiy, Mirsabir Usmanov, Alla Fabrickaya, and Natal'ya Kotlyarevskaya. "INFLUENCE OF EMF MW TREATING MODES OF PRESSED BEET PULP ON EFFICIENCY OF PECTIN EXTRACTION." Bulletin of KSAU, no. 6 (January 22, 2025): 160–66. https://doi.org/10.36718/1819-4036-2023-6-160-166.

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The purpose of research is to study the effect of EMF microwave processing modes of crushed pressed beet pulp on the efficiency of pectin extraction. Tasks: to determine the mode of EMF microwave treatment of crushed beet pressed pulp, which provides an increase in the efficiency of pectin extraction, and to identify the mechanism of the effect of EMF microwave treatment of crushed pressed beet pulp on the efficiency of pectin extraction. Objects – pressed beet pulp, crushed to a particle size of less than 2 mm, and samples of crushed pressed beet pulp processed by EMF microwave under various
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Liu, Yi, Xinxin Luo, Min Wang, Zhining Xia, and Yike Huang. "Microorganisms as Bio-SPE Materials for Extraction of Pharmaceutical Drugs: Mechanism of Extraction." Analytical Chemistry 93, no. 21 (2021): 7665–72. http://dx.doi.org/10.1021/acs.analchem.1c00521.

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唐, 雅瑜. "Study on the Extraction Mechanism of Bamboo Flavonoids by Ultrasonic-Microwave Synergistic Extraction." Botanical Research 08, no. 03 (2019): 247–55. http://dx.doi.org/10.12677/br.2019.83033.

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43

Wu, Haiyan, Ying Liu, Shaoyun Shi, Qingfeng Wu, and Yunlong Huang. "Key n -Gram Extractions and Analyses of Different Registers Based on Attention Network." Journal of Applied Mathematics 2021 (May 17, 2021): 1–16. http://dx.doi.org/10.1155/2021/5264090.

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Key n -gram extraction can be seen as extracting n -grams which can distinguish different registers. Keyword (as n = 1 , 1-gram is the keyword) extraction models are generally carried out from two aspects, the feature extraction and the model design. By summarizing the advantages and disadvantages of existing models, we propose a novel key n -gram extraction model “attentive n -gram network” (ANN) based on the attention mechanism and multilayer perceptron, in which the attention mechanism scores each n -gram in a sentence by mining the internal semantic relationship between words, and their im
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Shen, Xiaole, Chen Yu, Lin Lin, and Jinzhou Cao. "Object-oriented building extraction based on visual attention mechanism." PeerJ Computer Science 9 (August 30, 2023): e1566. http://dx.doi.org/10.7717/peerj-cs.1566.

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Buildings, which play an important role in the daily lives of humans, are a significant indicator of urban development. Currently, automatic building extraction from high-resolution remote sensing images (RSI) has become an important means in urban studies, such as urban sprawl, urban planning, urban heat island effect, population estimation and damage evaluation. In this article, we propose a building extraction method that combines bottom-up RSI low-level feature extraction with top-down guidance from prior knowledge. In high-resolution RSI, buildings usually have high intensity, strong edge
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Shang, Qiang. "Facial Expression Recognition method based on residual network and attention mechanism." Advances in Engineering Innovation 16, no. 4 (2025): None. https://doi.org/10.54254/2977-3903/2025.22386.

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As a primary medium for emotional expression, human facial expressions carry rich informational value. Recent advancements in residual networks and attention mechanisms have broadened their application in expression classification, yet challenges persist in suboptimal key feature extraction and complex model training. To address these issues, this study proposes a novel facial expression recognition method integrating residual networks with attention mechanisms. The framework employs ResNet50 as the backbone network for feature extraction, enhanced by the Convolutional Block Attention Module (
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Jiang, Jin He. "The Synthesis and Ion-Exchange Property of Inorganic Material Mg1.5Mn0.5Ti0.75O4." Advanced Materials Research 511 (April 2012): 105–8. http://dx.doi.org/10.4028/www.scientific.net/amr.511.105.

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Mg1.5Mn0.5Ti0.75O4 was prepared by a coprecipitation/thermal crystallization method. The extraction/insertion reaction with this material was investigation by X-ray, saturation capacity of exchange, and Kd measurement. The acid treatments of Mg1.5Mn0.5Ti0.75O4 caused Mg2+ extractions of more than 72%, while the dissolutions of Mn4+ and Ti4+ were less than 8.2%. The results showed that the Li+ extraction/insertion be progressed mainly by an ion-exchange mechanism. The acid treated samples had an ion exchange capacity of 10.6mmol/g for Li+.
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Chang, Jing, Xiaohui He, Panle Li, et al. "Multi-Scale Attention Network for Building Extraction from High-Resolution Remote Sensing Images." Sensors 24, no. 3 (2024): 1010. http://dx.doi.org/10.3390/s24031010.

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The precise building extraction from high-resolution remote sensing images holds significant application for urban planning, resource management, and environmental conservation. In recent years, deep neural networks (DNNs) have garnered substantial attention for their adeptness in learning and extracting features, becoming integral to building extraction methodologies and yielding noteworthy performance outcomes. Nonetheless, prevailing DNN-based models for building extraction often overlook spatial information during the feature extraction phase. Additionally, many existing models employ a si
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48

Xiao, Yun Shan, Ya Gu Dang, De Jun Fei, and Ying Zhang. "Extraction Kinetics and Mechanism of La(III) by P204-Kerosine from Phosphoric Acid." Advanced Materials Research 881-883 (January 2014): 677–82. http://dx.doi.org/10.4028/www.scientific.net/amr.881-883.677.

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The extraction kinetics and mechanism of La (III) by P204-kerosine from phosphoric acid were investigated by constant interfacial cell with laminar flow. The effects of stirring speed, temperature, specific interface area on extraction rate were studied. The results indicated that a plateau region is appeared at the stirring speed of over 115r/min. The extraction apparent activation energy was calculated to be-13.40kJ/mol and the extraction process is controlled by a mixed mechanism of diffusion and chemical reaction. The rate equation of extraction was deduced. Under conditions of 25°C and in
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Zhang, Yonghong, Huanyu Lu, Guangyi Ma, et al. "MU-Net: Embedding MixFormer into Unet to Extract Water Bodies from Remote Sensing Images." Remote Sensing 15, no. 14 (2023): 3559. http://dx.doi.org/10.3390/rs15143559.

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Water bodies extraction is important in water resource utilization and flood prevention and mitigation. Remote sensing images contain rich information, but due to the complex spatial background features and noise interference, problems such as inaccurate tributary extraction and inaccurate segmentation occur when extracting water bodies. Recently, using a convolutional neural network (CNN) to extract water bodies is gradually becoming popular. However, the local property of CNN limits the extraction of global information, while Transformer, using a self-attention mechanism, has great potential
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He, Yun, Banghui Yang, Haixia He, Xianyun Fei, Xiangtao Fan, and Jian Liu. "Event Argument Extraction for Rainstorm Disasters Based on Social Media: A Case Study of the 2021 Heavy Rains in Henan." Water 16, no. 23 (2024): 3535. https://doi.org/10.3390/w16233535.

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Rainstorm disasters have wide-ranging impacts on communities, but traditional information collection methods are often hampered by high labor costs and limited coverage. Social media platforms such as Weibo provide new opportunities for monitoring and analyzing disaster-related information in real-time. In this paper, we present ETEN_BERT_QA, a novel model for extracting event arguments from Weibo rainstorm disaster texts. The model incorporates the event text enhancement network (ETEN) to enhance the extraction process by improving the semantic representation of event information in combinati
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