Relevant bibliographies by topics / Extraction efficieny

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Academic literature on the topic 'Extraction efficieny'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Extraction efficieny"

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Rajesh, Nimmakayala, and Pal Dharm. "Equilibrium studies of aconitic acid extraction using tri-n-octyl amine (TOA) as extractant." Journal of Indian Chemical Society Vol. 97, Jul 2020 (2020): 1014–20. https://doi.org/10.5281/zenodo.5667727.

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Department of Chemical Engineering, National Institute of Technology Raipur, Raipur-492 010, Chhattisgarh, India <em>E-mail</em>: nimmakayalas819@gmail.com <em>Manuscript received online 30 March 2020, accepted 01 June 2020</em> Conventionally, aconitic acid (AA) is extracted from natural resources like molasses (sugar cane), red beet etc. However, to met the ever increasing demand of AA for use in biopolymer, surfactants and in drugs, an alternative way is needed which is economical as well as eco-friendly. Fermentation is an alternative route for the production of AA to meet industrial demand. But, it is very challenging to separate AA from fermenter. Out of different techniques available to separate carboxylic acids from fermentation broth;&nbsp; eactive extraction is found highly suitable. Nevertheless, for higher selectivity and effective acid recovery using extraction,&nbsp; nvestigation on efficiency of extraction systems (diluents and extractants) is highly desired. In this work, equilibrium studies of reactive extraction of trans-aconitic acid (TAA) from aqueous solutions with different diluents (cyclohexanone, MIBK, benzene, and n-heptane) with tri-n-octyl amine (TOA) as an extractant was performed. Using the above extraction systems with different initial acid concentrations and vol% of extractants, distribution coefficients (K<sub>D</sub>) were evaluated. Also, effect of initial acid concentration and effect of diluents on extraction efficiency (E) of TAA was studied. Extraction efficiency of (benzene + TOA) diluent system is found highest. Besides that extraction efficiency was found independent on phase volume ratio when TOA was used as extractant.
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Lickfeldt, D. W., N. E. Hofmann, J. D. Jones, A. M. Hamblin, and T. B. Voigt. "Comparing Three DNA Extraction Procedures for Cost, Efficiency, and DNA Yield." HortScience 37, no. 5 (2002): 822–25. http://dx.doi.org/10.21273/hortsci.37.5.822.

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An efficient deoxyribonucleic acid (DNA) extraction procedure that yields large quantities of DNA would provide adequate DNA for a large number of different analytical procedures. This study was conducted to compare three DNA extraction procedures for cost, time efficiency, and DNA content while extracting DNA from Kentucky bluegrass (Poa pratensis L.). Three students at the Univ. of Illinois with varying levels of DNA extraction experience conducted DNA extractions using Plant DNeasy™ Mini Kits, Plant DNAzol® Reagent, and a PEX/CTAB buffer. Costs varied significantly with cost (US$) per DNA sample of $3.04 for the DNeasy™ method, $0.99 for the DNAzol® method, and $0.39 for the PEX/CTAB extraction. The DNAzol® method was the fastest; although extracting 2.8 ng less DNA than the DNeasy™ method, it did not require the use of hazardous organic solvents, and random amplified polymorphic DNA (RAPD) markers were satisfactory for DNA fingerprinting of Kentucky bluegrass cultivars. The PEX/CTAB method, which did not include a tissue homogenization step, did not have reproducible banding patterns due to miniscule and inconsistent quantities of DNA extracted, or possibly due to inadequate purification. The investigator with the least DNA extraction experience was the slowest, while extracting 75% more DNA. All three methods are easily adapted to laboratories having personnel with different levels of experience. The DNAzol® Reagent method should save time and money, with reproducible results when many individual plant samples need to be identified. Chemical names used: potassium ethyl xanthogenate (PEX); cetyltrimethyl ammonium bromide (CTAB)
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Leon-Salazar, Ruben, Guilherme Janson, José Fernando Castanha Henriques, and Vladimir Leon-Salazar. "Influence of initial occlusal severity on time and efficiency of Class I malocclusion treatment carried out with and without premolar extractions." Dental Press Journal of Orthodontics 19, no. 4 (2014): 38–49. http://dx.doi.org/10.1590/2176-9451.19.4.038-049.oar.

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INTRODUCTION: The aim of this retrospective study was to compare the occlusal outcomes, duration and efficiency of Class I malocclusion treatment carried out with and without premolar extractions in patients with different degrees of initial malocclusion severity. METHODS: Complete records of 111 patients were obtained and divided into two groups: Group 1 consisted of 65 patients at an initial mean age of 13.82 years old treated with four premolar extractions; whereas Group 2 consisted of 46 patients at an initial mean age of 14.01 years old treated without extractions. Two subgroups were obtained from each group (1A, 1B, 2A and 2B) with different degrees of malocclusion severity according to the initial values of PAR index. Compatibility was assessed using chi-square and t-tests. The subgroups were compared by means of Analysis of Variance (ANOVA).The variables that might be related to treatment duration and efficiency were assessed using the multiple linear regression analysis. RESULTS: Initial malocclusion severity was positively related to the amount of occlusal correction and consequently to a higher efficiency index. Moreover, extraction protocol showed a positive relationship with treatment duration and a negative relationship with treatment efficiency. CONCLUSION: Extraction and non-extraction protocols for correction of Class I malocclusion provide similar satisfactory results; however, the extraction protocol increases the overall treatment duration. Orthodontic treatment is more efficient in cases with high initial malocclusion severity treated with a non-extraction protocol.
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Ballistreri, Gabriele, Margherita Amenta, Simona Fabroni, Nicolina Timpanaro, and Giusy Maria Platania. "Sustainable Extraction Protocols for the Recovery of Bioactive Compounds from By-Products of Pomegranate Fruit Processing." Foods 13, no. 12 (2024): 1793. http://dx.doi.org/10.3390/foods13121793.

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This study investigates sustainable extraction protocols for the recovery of bioactive compounds from by-products of various pomegranate (Punica granatum L.) cultivars, including Acco, Hicaz, Jolly Red, Parfianka, Valenciana, and Wonderful, generated during the industrial processing of the fruits. Advanced extraction technologies, including ultrasounds, microwaves, and hydrodynamic cavitation, have been compared to conventional extraction procedures and utilized to enhance extraction efficiency while also minimizing environmental impact. Water-based extraction methods have been utilized to promote the development of sustainable and eco-friendly processes. The comparison between conventional extractions and ultrasound-assisted extractions (UAEs) and microwave-assisted extractions (MAEs) demonstrated notable improvements in extraction yields, particularly for ellagitannins (punicalins, punicalagins, and ellagic acid) and total polyphenols, with increases ranging from about 45 to 200%. However, the increases directly comparing UAEs to MAEs ranged from about 4 to 6%. This indicates that while both UAEs and MAEs offer notable improvements over conventional extractions, the differences in extraction efficiency between the two advanced methods were relatively modest. These advancements were observed across various pomegranate cultivars, highlighting the versatility and effectiveness of these methods. Notably, hydrodynamic cavitation-based extractions (HC) emerged as particularly promising, consistently yielding the highest levels of bioactive compounds (ellagitannins and total polyphenols), especially when operated at higher frequencies. Compared to conventional extractions, HC exhibited substantial increases in extraction yields for Wonderful pomegranate by-products, surpassing the efficiency of both UAEs and MAEs (approximately 45 and 57% for UAE and MAE, respectively, versus about 80% for HC). Among these advanced techniques, HC has emerged as particularly promising, yielding the most favorable results and leading to significant improvements in the yield of bioactive compounds. When directly compared to UAEs and MAEs, HC increased extraction yields by over 20%. Furthermore, HC allowed for shorter extraction times. The Wonderful cultivar consistently exhibited the highest levels of ellagitannins and the highest total polyphenol content among all types of extraction procedures used, whether conventional or advanced. This highlights the great potential of the Wonderful cultivar in terms of bioactive compound extraction and underscores its significance in research and applications related to pomegranate processing and utilization. This study suggests that the implementation of these advanced technologies into extraction processes represents a significant advancement in the field, offering a promising avenue for the development of efficient and environmentally friendly extraction methods for obtaining valuable bioactive compounds from pomegranate processing by-products.
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Marić, Aleksandar, Pavle Jovanov, Marijana Sakač, Bojana Radić, Branislava Đermanović, and Slobodan Gadžurić. "Extraction of thiacloprid from honey using aqueous biphasic systems based on potassium phosphate and ionic liquids." Food and Feed Research, no. 00 (2024): 53. http://dx.doi.org/10.5937/ffr0-53222.

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Thiacloprid, a widely used neonicotinoid pesticide, poses a significant health risk when present in honey. Conventional extraction techniques are often complex and time-consuming, highlighting the need for more efficient methods. This study investigated the application of aqueous biphasic systems (ABS) based on ionic liquids (ILs) in combination with the kosmotropic salt potassium phosphate (K₃PO₄) for extracting thiacloprid from honey, intending to enhance extraction efficiency and simplify the process. Two commercially available ionic liquids, 1-butyl3-methylimidazolium chloride ([C4mim][Cl]) and tetrabutylammonium chloride ([N4444][Cl]), were assessed for their phase-forming properties and extraction efficiencies. Both systems achieved extraction efficiencies exceeding 90%, with the [C4mim][Cl] system demonstrating superior performance, attaining an extraction efficiency (EE%) of 98.11 ± 1.26%. Additionally, spectrophotometric detection was applied, providing a faster, simpler, and more cost-effective alternative to chromatographic methods. The results underscore the potential of IL-based ABS systems with K₃PO₄ as a sustainable and effective alternative to traditional extraction methods, demonstrating a selective, rapid, and environmentally friendly approach for extracting thiacloprid from a complex matrix such as honey.
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He, Wen, Jie Liu, Jiajun Shen, Fei Du, and Anping Yu. "Extraction of Polysaccharides from Shiitake Mushroom Based on Pineapple Enzymatic Technology." Journal of Physics: Conference Series 2679, no. 1 (2024): 012029. http://dx.doi.org/10.1088/1742-6596/2679/1/012029.

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Abstract The pineapple enzymatic technique was used to extract polysaccharides from shiitake mushrooms, with glucose serving as the standard for calculating the yield of the polysaccharides. The effects of acidity, alkalinity, extraction time, extraction temperature, enzyme dosage, and number of extractions on the extraction rate of mushroom polysaccharides were investigated under the control of a single factor. Orthogonal tests showed that the optimal process combination for the extraction of mushroom polysaccharides under the influence of multiple factors was pH 5, an extraction time of 1.5 hours, extraction temperature of 45°C, enzyme dosage of 0.8/100 g, and the number of extraction times of 3. The yield of mushroom polysaccharides under optimal processing conditions could reach 6.47%. The method is easy to operate, accurate, highly efficient, and it is a non-polluting and cost-effective process for extracting shiitake polysaccharides.
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Fatur, Karsten, Matjaž Ravnikar, Vitjan Fras, and Samo Kreft. "Pipes and Potions: Testing the Efficacy of European Folk Preparation Methods for Anticholinergic Solanaceae Plants." Plants 11, no. 1 (2022): 126. http://dx.doi.org/10.3390/plants11010126.

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The present article sought to evaluate the efficiency of various folk preparation methods commonly used in Europe for employing anticholinergic Solanaceae plants. The study aimed to uncover which folk methods were effective for the extraction of the anticholinergic tropane alkaloids of these plants, atropine and scopolamine. The folk extractions that were tested sought to simulate the preparation of teas, cold-water infusions, unguents, tinctures, fortified wines, and smoking. All preparation types and a control were then put through an extraction process to see what amount of the alkaloids had been maintained. These extractions were then analysed using high-performance liquid chromatography (HPLC). Cold- and hot-water preparations, tinctures, and fortified wines all proved to be effective means of extracting atropine and scopolamine from plant material under conditions seen in folk usage. Smoking and the oil-based unguent, however, yielded no alkaloids, suggesting a lack of efficiency for these preparations, a problem with our methodology, or possible chemical changes and losses associated with the preparation procedure.
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Chanthai, Saksit, Sujitra Prachakoll, Chalerm Ruangviriyachai, and Devanand L. Luthria. "Influence of Extraction Methodologies on the Analysis of Five Major Volatile Aromatic Compounds of Citronella Grass (Cymbopogon nardus) and Lemongrass (Cymbopogon citratus) Grown in Thailand." Journal of AOAC INTERNATIONAL 95, no. 3 (2012): 763–72. http://dx.doi.org/10.5740/jaoacint.11-335.

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Abstract This paper deals with the systematic comparison of extraction of major volatile aromatic compounds (VACs) of citronella grass and lemongrass by classical microhydrodistillation (MHD), as well as modern accelerated solvent extraction (ASE). Sixteen VACs were identified by GC/MS. GC-flame ionization detection was used for the quantification of five VACs (citronellal, citronellol, geraniol, citral, and eugenol) to compare the extraction efficiency of the two different methods. Linear range, LOD, and LOQ were calculated for the five VACs. Intraday and interday precisions for the analysis of VACs were determined for each sample. The extraction recovery, as calculated by a spiking experiment with known standards of VACs, by ASE and MHD ranged from 64.9 to 91.2% and 74.3 to 95.2%, respectively. The extraction efficiency of the VACs was compared for three solvents of varying polarities (hexane, dichloromethane, and methanol), seven different temperatures (ranging from 40 to 160°C, with a gradual increment of 20°C), five time periods (from 1 to 10 min), and three cycles (1, 2, and 3 repeated extractions). Optimum extraction yields of VACs were obtained when extractions were carried out for 7 min with dichloromethane and two extraction cycles at 120°C. The results showed that the ASE technique is more efficient than MHD, as it results in improved yields and significant reduction in extraction time with automated extraction capabilities.
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Oliveira, Rosilene Dos Santos, Juliana Da Silva Rocha, Keren Hapuque Pinheiro, Matheus Mendonça Pereira, and Carlos Eduardo Barão. "Application of an ultrasound process to extract catechins from green tea wastes." Brazilian Journal of Food Research 7, no. 3 (2016): 29. http://dx.doi.org/10.3895/rebrapa.v7n3.3724.

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There is increasing need for industries to develop innovative technologies that in addition to being low cost, are also fast and provide high yields and efficiency, while at the same time avoiding adverse effects in the environment. One technique that conforms to these requirements is the use of ultrasound, which also offers ease of application and can be used in the extraction of compounds from leaves. The aim of the present work was to evaluate the efficiency of ultrasound in extracting catechins from green tea wastes, employing solvents with different polarities: water, acetone, ethanol, methanol, and isopropanol. The best extraction results were achieved using water as the solvent. Comparison was then made of extractions using water in the presence or absence of ultrasonication. The cavitation in the liquid medium, induced by the sound waves, acted to increase the permeability of the cell walls, leading to increased penetration of the solvent and greater extraction efficiency.
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Semenihin, Semen, Alla Fabrickaya, Vladimir Gorodeckiy, Nailya Daisheva, Natal'ya Kotlyarevskaya, and Igor' Lyusyy. "INFLUENCE OF ENZYME COMPOSITION AND EXTRACTANT pH VALUE ON PECTIN EXTRACTION EFFICIENCY FROM BEET PULP." Bulletin of KSAU, no. 7 (January 29, 2025): 171–78. https://doi.org/10.36718/1819-4036-2023-7-171-178.

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The purpose of research is to study the effect of the composition of enzymes and the pH value of the extractant on the efficiency of extracting pectin from pressed beet pulp. Objectives: to identify the composition of enzymes that provide efficient extraction of pectin, and to determine the optimal pH value of the extractant, providing an increase in the efficiency of extracting pectin from pressed beet pulp. The objects of study are pressed beet pulp, crushed to a particle size of less than 2 mm, treated with microwave EMF at a heating rate of 0.6 °C/s until a temperature of 60 °C is reached, and enzymes – cellulase, xylanase, bacterial protease and fungal protease. An increase in the efficiency of extracting pectin from pressed beet pulp with an extractant with a pH value of 6.5, containing a composition of enzymes, including cellulase and xylanase, by 24.32 % was established compared to the control – an extractant that does not contain enzymes. The inclusion of a protease, regardless of its origin – bacterial or fungal, in the composition of enzymes containing cellulase and xylanase, allows to increase the efficiency of extracting pectin from pressed beet pulp by 33.47 % compared to the control. When the pH value of the extractant is 5.5, the efficiency of pectin extraction increases by 7.91 % compared with the pH value of the extractant 6.5. However, at an extractant pH value of 4.5, the pectin extraction efficiency decreases by 8.74 % compared to an extractant pH value of 6.5. For maximum extraction of pectin from pressed beet pulp, the optimal pH value of the extractant containing the composition of enzymes, including cellulase, xylanase and protease, is pH 5.5. The specified pH value provides an increase in the efficiency of the catalytic ability of cellulase and xylanase, despite the fact that it is the limit value of the operating range for the protease.
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Dissertations / Theses on the topic "Extraction efficieny"

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Wackersreuther, Bianca. "Efficient Knowledge Extraction from Structured Data." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-138079.

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García-Martín, Eva. "Extraction and Energy Efficient Processing of Streaming Data." Licentiate thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15532.

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The interest in machine learning algorithms is increasing, in parallel with the advancements in hardware and software required to mine large-scale datasets. Machine learning algorithms account for a significant amount of energy consumed in data centers, which impacts the global energy consumption. However, machine learning algorithms are optimized towards predictive performance and scalability. Algorithms with low energy consumption are necessary for embedded systems and other resource constrained devices; and desirable for platforms that require many computations, such as data centers. Data stream mining investigates how to process potentially infinite streams of data without the need to store all the data. This ability is particularly useful for companies that are generating data at a high rate, such as social networks. This thesis investigates algorithms in the data stream mining domain from an energy efficiency perspective. The thesis comprises of two parts. The first part explores how to extract and analyze data from Twitter, with a pilot study that investigates a correlation between hashtags and followers. The second and main part investigates how energy is consumed and optimized in an online learning algorithm, suitable for data stream mining tasks. The second part of the thesis focuses on analyzing, understanding, and reformulating the Very Fast Decision Tree (VFDT) algorithm, the original Hoeffding tree algorithm, into an energy efficient version. It presents three key contributions. First, it shows how energy varies in the VFDT from a high-level view by tuning different parameters. Second, it presents a methodology to identify energy bottlenecks in machine learning algorithms, by portraying the functions of the VFDT that consume the largest amount of energy. Third, it introduces dynamic parameter adaptation for Hoeffding trees, a method to dynamically adapt the parameters of Hoeffding trees to reduce their energy consumption. The results show an average energy reduction of 23% on the VFDT algorithm.<br>Scalable resource-efficient systems for big data analytics
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Morsey, Mohamed. "Efficient Extraction and Query Benchmarking of Wikipedia Data." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-130593.

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Knowledge bases are playing an increasingly important role for integrating information between systems and over the Web. Today, most knowledge bases cover only specific domains, they are created by relatively small groups of knowledge engineers, and it is very cost intensive to keep them up-to-date as domains change. In parallel, Wikipedia has grown into one of the central knowledge sources of mankind and is maintained by thousands of contributors. The DBpedia (http://dbpedia.org) project makes use of this large collaboratively edited knowledge source by extracting structured content from it, interlinking it with other knowledge bases, and making the result publicly available. DBpedia had and has a great effect on the Web of Data and became a crystallization point for it. Furthermore, many companies and researchers use DBpedia and its public services to improve their applications and research approaches. However, the DBpedia release process is heavy-weight and the releases are sometimes based on several months old data. Hence, a strategy to keep DBpedia always in synchronization with Wikipedia is highly required. In this thesis we propose the DBpedia Live framework, which reads a continuous stream of updated Wikipedia articles, and processes it. DBpedia Live processes that stream on-the-fly to obtain RDF data and updates the DBpedia knowledge base with the newly extracted data. DBpedia Live also publishes the newly added/deleted facts in files, in order to enable synchronization between our DBpedia endpoint and other DBpedia mirrors. Moreover, the new DBpedia Live framework incorporates several significant features, e.g. abstract extraction, ontology changes, and changesets publication. Basically, knowledge bases, including DBpedia, are stored in triplestores in order to facilitate accessing and querying their respective data. Furthermore, the triplestores constitute the backbone of increasingly many Data Web applications. It is thus evident that the performance of those stores is mission critical for individual projects as well as for data integration on the Data Web in general. Consequently, it is of central importance during the implementation of any of these applications to have a clear picture of the weaknesses and strengths of current triplestore implementations. We introduce a generic SPARQL benchmark creation procedure, which we apply to the DBpedia knowledge base. Previous approaches often compared relational and triplestores and, thus, settled on measuring performance against a relational database which had been converted to RDF by using SQL-like queries. In contrast to those approaches, our benchmark is based on queries that were actually issued by humans and applications against existing RDF data not resembling a relational schema. Our generic procedure for benchmark creation is based on query-log mining, clustering and SPARQL feature analysis. We argue that a pure SPARQL benchmark is more useful to compare existing triplestores and provide results for the popular triplestore implementations Virtuoso, Sesame, Apache Jena-TDB, and BigOWLIM. The subsequent comparison of our results with other benchmark results indicates that the performance of triplestores is by far less homogeneous than suggested by previous benchmarks. Further, one of the crucial tasks when creating and maintaining knowledge bases is validating their facts and maintaining the quality of their inherent data. This task include several subtasks, and in thesis we address two of those major subtasks, specifically fact validation and provenance, and data quality The subtask fact validation and provenance aim at providing sources for these facts in order to ensure correctness and traceability of the provided knowledge This subtask is often addressed by human curators in a three-step process: issuing appropriate keyword queries for the statement to check using standard search engines, retrieving potentially relevant documents and screening those documents for relevant content. The drawbacks of this process are manifold. Most importantly, it is very time-consuming as the experts have to carry out several search processes and must often read several documents. We present DeFacto (Deep Fact Validation), which is an algorithm for validating facts by finding trustworthy sources for it on the Web. DeFacto aims to provide an effective way of validating facts by supplying the user with relevant excerpts of webpages as well as useful additional information including a score for the confidence DeFacto has in the correctness of the input fact. On the other hand the subtask of data quality maintenance aims at evaluating and continuously improving the quality of data of the knowledge bases. We present a methodology for assessing the quality of knowledge bases’ data, which comprises of a manual and a semi-automatic process. The first phase includes the detection of common quality problems and their representation in a quality problem taxonomy. In the manual process, the second phase comprises of the evaluation of a large number of individual resources, according to the quality problem taxonomy via crowdsourcing. This process is accompanied by a tool wherein a user assesses an individual resource and evaluates each fact for correctness. The semi-automatic process involves the generation and verification of schema axioms. We report the results obtained by applying this methodology to DBpedia.
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Gordon, Ross John. "Improved mass transport efficiency in copper solvent extraction." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/5673.

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This thesis considers methods which can be employed to increase the mass of copper transferred into and out of the organic phase during the load and strip stages of commercial solvent extraction processes. Conventional 5-alkylsalicylaldoxime reagents transfer 1 mol of divalent copper per 2 mol of ligand in a neutral complex of the type [Cu(L-H)2] via a pH-swing process. New triacidic ligands have been designed which triple the molar transport of copper to form [Cu3(L-3H)2]. Until recently copper recovery by solvent extraction has been confined to oxidic ores which are leached with sulfuric acid. New leaching technologies generate high tenor copper sulfate feed streams from sulfidic ores. The conventional 5- alkylsalicylaldoxime reagents do not work effectively in conjunction with these leach processes as they do not consume the acid which is generated on loading the oxime. To address this problem ditopic zwitterionic ligands have been designed which can transfer both metal cation and attendant anion. These new metal salt reagents are diacidic, therefore not only transfer metal salts but also increase the molar transport relative to the conventional reagents. Equilibrium-modifiers are often added to improve the mass transport efficiency of conventional solvent extraction processes. The nature of their interaction with the species in solution is poorly understood. This thesis investigates their interaction with the free ligands and copper complexes to gain an understanding of their mode of action in order to rationalise the design of future modifiers to optimise recovery efficiencies. Increased molar transport is addressed in Chapter 2. The diacidic ligand 5- methylsalicylaldehyde-pivaloylhydrazide (L2) and its dinuclear copper complex [Cu2(L2-2H)2] were synthesised and characterised to gain an understanding of their speciation in solution. X-ray structural analysis of [Cu2(L2-2H)2] confirmed that the phenolate oxygen atoms bridge the copper centres rather than the amidato oxygen atoms of the hydrazone. Variable temperature magnetic susceptibility data confirm that the copper centres are antiferromagnetically coupled as expected for the Cu-OCu angle (99.6(2)°). An understanding of the coordination geometry of the dinuclear systems lead to design of triacidic ligands. A series of 3-hydrazono- and 3- hydroxyanil- 5-alkylsalicylic acids were synthesised. The prototype ligand 5-methyl 3-octanoylhydrazonosalicylic acid (L6) was demonstrated to triple molar transport and increase mass transport by 2.5 fold. Solvent extraction results indicate that copper is sequentially loaded as pH is increased. The plateaux observed in loading curves suggest formation of stable mono-, di-, and tri-nuclear copper complexes within the pH-ranges 1.75 - 2.75, 3.25 - 4.0 and > 4.25 respectively. The triacidic ligands were also demonstrated to double the molar transport of the conventional salicylaldoximes when used in 1:1 blends by formation of a ternary complex. Chapter 3 describes the incorporation of two tertiary amine groups into diacidic salicylaldehydehydrazone ligands to form dinucleating metal salt extractants. Piperidinomethyl, piperazinomethyl and dihexylamino groups were incorporated into various positions of the ligand including 3- and/or 5- positions of the salicylaldehyde or incorporated into the hydrazone. Solvent extraction results obtained for 3,5- bis((dihexylamino)methyl)salicylaldehyde-octanoic hydrazone (L20) are consistent with transfer of 1 mol of copper sulfate per mol of ligand in the organic phase between pH 2.0 and 2.5. This result is indicative of the formation of [Cu2(L20)2(SO4)2]. Conventional salicylaldoximes are “strong” copper extractants which require concentrated acid electrolyte to efficiently strip the copper from the organic phase. However, as the use of concentrated acid affects the quality of the copper cathodes, oxygen-containing equilibrium modifiers are often added. These facilitate copper stripping without adversely affecting the loading. The affect of 2-ethylhexanol (2- EH) and trioctylphosphine oxide (TOPO) on the extractive ability of 5-toctylsalicylaldoxime (19) in n-heptane is reported. Both are found to decrease copper extraction more under stripping conditions than loading conditions. 2-EH shows little affect at pH greater than 2.5. TOPO does not significantly affect copper loading at pH greater than 3.0. Evidence for the formation of the adduct [Cu(19-H)2)(TOPO)] was obtained from UV/Vis, IR, EPR and sonic spray mass spectrometry.
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Buss, lan. "Enhancing the Extraction Efficiency of Light-Emitting Diodes." Thesis, University of Bristol, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520314.

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Alkaabi, Salem Hamdan. "Efficient corner extraction and matching for image registration." Thesis, University of Kent, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418584.

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CARDOSO, EDUARDO TEIXEIRA. "EFFICIENT METHODS FOR INFORMATION EXTRACTION IN NEWS WEBPAGES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2011. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28984@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Nós abordamos a tarefa de segmentação de páginas de notícias; mais especificamente identificação do título, data de publicação e corpo da notícia. Embora existam resultados muito bons na literatura, a maioria deles depende da renderização da página, que é uma tarefa muito demorada. Nós focamos em cenários com um alto volume de documentos, onde desempenho de tempo é uma necessidade. A abordagem escolhida estende nosso trabalho prévio na área, combinando propriedades estruturais com traços de atributos visuais, calculados através de um método mais rápido do que a renderização tradicional, e algoritmos de aprendizado de máquina. Em nossos experimentos, nos atentamos para alguns fatos não comumente abordados na literatura, como tempo de processamento e a generalização dos nossos resultados para domínios desconhecidos. Nossa abordagem se mostrou aproximadamente uma ordem de magnitude mais rápida do que alternativas equivalentes que se apoiam na renderização completa da página e manteve uma boa qualidade de extração.<br>We tackle the task of news webpage segmentation, specifically identifying the news title, publication date and story body. While there are very good results in the literature, most of them rely on webpage rendering, which is a very time-consuming step. We focus on scenarios with a high volume of documents, where a short execution time is a must. The chosen approach extends our previous work in the area, combining structural properties with hints of visual presentation styles, computed with a faster method than regular rendering, and machine learning algorithms. In our experiments, we took special attention to some aspects that are often overlooked in the literature, such as processing time and the generalization of the extraction results for unseen domains. Our approach has shown to be about an order of magnitude faster than an equivalent full rendering alternative while retaining a good quality of extraction.
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Kihlman, Jonas. "On the resource efficiency of kraft lignin extraction." Licentiate thesis, Karlstads universitet, Institutionen för ingenjörs- och kemivetenskaper (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-81473.

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Lignin is regarded as a promising raw material for the production of biobased products, such as chemicals, materials and fuels, and will most probably be a key component in future lignocellulosic biorefineries. This thesis examines the lignin extraction process in a kraft pulp mill, the technologies that are available for this purpose, and the impact made on the mill. Several different kraft lignin extraction processes and technologies are currently available and are basically linear: chemicals are brought from outside the mill and introduced into the process and the mill balance. Depending on their origin, the addition of these chemicals will affect the mill to a lesser or greater degree, both economically and environmentally. A conceivable way of reducing the impact made on the mill´s balance would be the in-house production of the chemicals used, sulphuric acid and CO2, which takes a more sustainable circular approach. The results obtained show that utilisation of existing process streams in the mill as a source of chemicals could be a way of not only reducing these impacts but also making lignin extraction more sustainable. Internal production of sulphuric acid is possible and could generate a substantial amount for use as replacement of the fresh sulphuric acid needed for the lignin extraction process; CO2 is available in large quantities in the mill and could be captured and used for lignin extraction.
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Yean, Su Jin. "Factors influencing the efficiency of arsenic extraction by phosphate." Texas A&M University, 2004. http://hdl.handle.net/1969.1/2638.

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Extraction with sodium phosphate has been used as a method of accessing arsenic in soils. Arsenic extraction efficiency by phosphate from rice-paddy soils of Bangladesh usually has been low and highly variable between soils. The major objectives of this study were to examine the relationships between phosphate-extractable arsenic and soil iron-oxide composition and to investigate the experimental factors which might influence arsenic-extraction efficiency from rice-paddy soils of Bangladesh by phosphate. Statistical analysis of approximately 500 surface soils from Bangladesh indicated that phosphate-extractable arsenic was well correlated with total soil arsenic (r2 = 0.832) and oxalate-extractable arsenic (r2 = 0.825), though extraction efficiency varied widely (5 - 54 % of the total soil arsenic). The thanas with the lowest arsenic contents generally also had the soils with the lowest arsenic-extraction efficiencies. Quantity of phosphate-extractable arsenic was weakly correlated with the soil iron-oxide content, but extraction efficiency (i.e., the proportion of phosphate-extractable arsenic to total soil arsenic) was not correlated with any iron-oxide parameter. Arsenic extraction was strongly influenced by reaction variables such as sample grinding, phosphate concentration, principal counterion, reaction pH, and reaction time. The extraction efficiency was impacted by the influence of these individual factors on reaction kinetics and accessibility of arsenic adsorption sites for ligand exchange by phosphate. A portion of the arsenic was readily exchanged during the first few hours of extraction, followed by a much slower subsequent extraction. These results indicate that some of the arsenic is easily exchanged, but for a substantial portion of the arsenic, either the reaction kinetics is very slow or the sites are not accessible for reaction with phosphate. Extraction by phosphate is a useful procedure for the assessment of readily ligand-exchanged arsenic.
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Parthepan, Vijayeandra. "Efficient Schema Extraction from a Collection of XML Documents." TopSCHOLAR®, 2011. http://digitalcommons.wku.edu/theses/1061.

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The eXtensible Markup Language (XML) has become the standard format for data exchange on the Internet, providing interoperability between different business applications. Such wide use results in large volumes of heterogeneous XML data, i.e., XML documents conforming to different schemas. Although schemas are important in many business applications, they are often missing in XML documents. In this thesis, we present a suite of algorithms that are effective in extracting schema information from a large collection of XML documents. We propose using the cost of NFA simulation to compute the Minimum Length Description to rank the inferred schema. We also studied using frequencies of the sample inputs to improve the precision of the schema extraction. Furthermore, we propose an evaluation framework to quantify the quality of the extracted schema. Experimental studies are conducted on various data sets to demonstrate the efficiency and efficacy of our approach.
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Books on the topic "Extraction efficieny"

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Sumner, Claire. Investigation into techniques for the determination of extraction efficiency of a new design of supercritical fluid extraction unit. UMIST, 1997.

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Boulay, Mark Guy. A new test of extraction efficiency for the homestake solar neutrino experiment. Laurentian University Press, 1996.

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Evseev, Vadim. Methods of research work in the youth environment. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1227510.

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The textbook examines the components of the research culture of the youth environment, the information environment of research and methods of system analysis of the youth environment. Research methods and calculations of economic efficiency from the introduction of new social technologies, types of researchers and their professional parameters are given. Special attention is paid to the technology of extracting knowledge from the object of research, as well as types of knowledge, problems and thinking. Examples of specific application of research methods are given. The disadvantages that hinder the development of research potential are considered. Aspects of the presentation of the research results are considered.&#x0D; Meets the requirements of the federal state educational standards of higher education of the latest generation.&#x0D; It is intended for undergraduate and graduate students, as well as graduate students, teachers, and professional researchers. It can be useful for those who are engaged in research in the socio-political and social spheres, the field of personnel management, in particular, the study of the youth environment.
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A, Johnson James, Frank (Xin X. ) Zhu, David W. Ablin, and Gregory A. Ernst. Efficient Petrochemical Processes: Technology, Design and Operation. Wiley & Sons, Limited, John, 2019.

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Efficient Petrochemical Processes: Technology, Design and Operation. American Institute of Chemical Engineers, 2019.

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A, Johnson James, Frank (Xin X. ) Zhu, David W. Ablin, and Gregory A. Ernst. Efficient Petrochemical Processes: Technology, Design and Operation. Wiley & Sons, Limited, John, 2019.

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A, Johnson James, Frank (Xin X. ) Zhu, David W. Ablin, and Gregory A. Ernst. Efficient Petrochemical Processes: Technology, Design and Operation. American Institute of Chemical Engineers, 2019.

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Salary Versus Dividends Other Tax Efficient Profit Extraction Strategies. Taxcafe UK Ltd, 2013.

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Salary versus dividends & other tax efficient profit extraction strategies. Taxcafe Uk Ltd, 2012.

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Burns, Amber C. The efficiency of forensic odontology and DNA extraction and profiling. 2005.

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Book chapters on the topic "Extraction efficieny"

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Kim, Ja-Yeon, Tak Jeong, Sang Hern Lee, et al. "Light Extraction Efficiency Part B. Light Extraction of High Efficient LEDs." In Topics in Applied Physics. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5863-6_10.

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Shao, Yingxia, Bin Cui, and Lei Chen. "Efficient Parallel Graph Extraction." In Large-scale Graph Analysis: System, Algorithm and Optimization. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3928-2_5.

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Kamal, Sara A., Samr A. Alhawsaw, Faiza Turkestani, et al. "Efficient Text Extraction from Product Images Using Deep Learning and Parallel Computing." In Proceedings in Technology Transfer. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8588-9_6.

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Abstract The domain of deep learning, particularly in the context of text detection and recognition, has witnessed remarkable progress over the years. Text detection and recognition entail identifying and extracting textual information from images, an essential component in various real-world applications. The ability to extract text robustly and efficiently from scenes is essential for interpreting traffic signs or content-based image retrieval. This domain has been greatly influenced by the advent of Conventional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), which have demonstrated a superior capability to handle diverse text shapes and irregularities. The utilization of these models has opened new horizons for text detection and recognition, allowing for a more flexible approach to accommodate the wide range of text forms found in the real world, such as curved or skewed text. Despite significant progress in the field, performance challenges persist, notably the time-consuming nature of text extraction from images. As data volumes grow, the need for faster extraction becomes increasingly critical. Existing methods may not fully harness the potential of parallel computing. Addressing these issues is essential for advancing text detection and recognition for practical applications, which is the focus of our research. We implemented parallel text extraction using the Optical Character Recognition (OCR) engine within Kaggle Environments, significantly improving efficiency. The parallel implementation processed text extraction 6 times faster than the sequential approach.
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Dahmen, Wolfgang, Chunyan Huang, Gitta Kutyniok, Wang-Q. Lim, Christoph Schwab, and Gerrit Welper. "Efficient Resolution of Anisotropic Structures." In Extraction of Quantifiable Information from Complex Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08159-5_2.

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Gu, Yanhui, Zhenglu Yang, Miyuki Nakano, and Masaru Kitsuregawa. "Towards Efficient Similar Sentences Extraction." In Intelligent Data Engineering and Automated Learning - IDEAL 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32639-4_33.

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Beattie, Michael, and Lawrence Pileggi. "Efficient Inductance Extraction via Windowing." In Design, Automation, and Test in Europe. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6488-3_27.

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Zhang, Wei Emma, and Quan Z. Sheng. "An Efficient Knowledge Clustering Algorithm." In Managing Data From Knowledge Bases: Querying and Extraction. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94935-2_4.

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Hytoft, Glen, Rafiqul Gani, and Aage Fredenslund. "Design and Analysis of Super-Critical Extraction Processes." In Energy Efficiency in Process Technology. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1454-7_36.

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Fan, Longyuan, Zicheng Liu, Haijiao Wang, Pengye Wang, and Dong Jiang. "Online Vibration Component Extraction Strategy for Active Magnetic Bearing Motors Without Angular Sensors." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4856-6_12.

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Abstract Online vibration suppression is critical for enhancing the performance of active magnetic bearing (AMB) systems, especially in vibration-sensitive applications. This paper proposes an adaptive gradient linear neuron (AdaGrad-LN)-based online vibration extraction strategy for AMB motors. The approach integrates a second-order generalized integrator frequency-locked loop (SOGI-FLL) to extract rotational frequency from AMB winding currents, eliminating the need for angular sensors. AdaGrad-LN then processes time-domain signals from vibration sensors, extracting vibration amplitudes at the rotational frequency and its harmonics. Additionally, this method allows accurate extraction across multiple frequency points. Experimental results on a 5-DOF AMB motor demonstrate that the proposed method significantly improves convergence speed and accuracy, reducing convergence time by up to 60% and steady-state fluctuations by 62.5% compared to conventional Adaline algorithms. This approach offers a more efficient solution for real-time vibration control in AMB systems.
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Volokh, Alexander, and Günter Neumann. "Dependency Parsing with Efficient Feature Extraction." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33347-7_26.

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Conference papers on the topic "Extraction efficieny"

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Zhang, Tianlun, Guofang Zhang, Guoqiang Yang, Chen Cui, Shaoshi Shen, and Ye Xia. "A Natural Language Processing-based Approach to Bridge Structure Information Extraction." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.1539.

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&lt;p&gt;As transportation infrastructure continues to develop and age, ensuring the safety and stability of bridges is a growing concern. Bridge inspection reports contain a large amount of detailed information about the structural attributes and condition ratings of bridges. However, these reports are usually presented in an unstructured textual format, making manually extracting valuable information from them time-consuming and error-prone. Thus, efficient and accurate extraction of inspection data has become the key to improving bridge management. In this paper, an information extraction method based on natural language processing (NLP). The proposed method automatically identifies and extracts the key details of bridge structural attributes in the inspection report documents through in-depth analysis of the text structure. The results show that the proposed framework significantly improves the information processing efficiency and effectively enhances the accuracy of the data, highlighting its broad potential for practical applications.&lt;/p&gt;
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Alghamdi, Talal M. "Determination of Corrosion Inhibitor Residuals in Dry Crude Oil." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-18769.

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Abstract In the absence of adequate volume of aqueous phase in crude sample, it is a challenge to determine the corrosion inhibitor residuals concentration by conventional techniques. This work aims to solve this problem by providing an analytical technique to measure the corrosion inhibitor residuals in dry crude oil by extracting corrosion inhibitor residuals from crude oil into a saline water, which could be then quantified by any analytical instrumental means. A method was developed for the extraction of corrosion inhibitor residuals from treated crude oil samples by saline water. The various method development parameters were carefully studied and compared to get the optimum conditions for separation and quantification. The method provides a solution for a problem that exists, which is the difficulties to determine corrosion inhibitor residuals from a dry crude oil that has no sufficient associated water. In this work, all extraction conditions were studied and optimized such as extraction temperature, extraction time, and water salinity. Equal portions of treated oil spiked with corrosion inhibitor and saline water were mixed together at different temperature for different extraction time. Extraction efficiency at different water salinity were studied as well. The concentration of the extracted corrosion inhibitor was determined by an analytical instrumentation applying chromatographic technique. It was found that the corrosion inhibitor residuals are best extracted if the water salinity is 1% at heating temperature of 50°C for one hour. The higher the salinity of the water, the less extraction yield was observed.
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She, Chenglong, Yi Zhang, Jingjing Chen, and Xiaobo Yin. "Colored radiative cooling enhanced by spectral-conversion fluorophore and light extraction." In Nonimaging Optics: Efficient Design for Illumination and Concentration XIX, edited by Lun Jiang, Roland Winston, Håkon Jarand Dugstad Johnsen, and Thomas A. Cooper. SPIE, 2024. http://dx.doi.org/10.1117/12.3027853.

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Mousavi, Mahdi, and Ville Alopaeus. "Redefining Stage Efficiency in Liquid-Liquid Extraction: Development and Application of a Modified Murphree Efficiency." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.174222.

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Liquid-liquid extraction stages often deviate from equilibrium due to factors like insufficient mixing, making accurate efficiency modeling essential for process simulation. This study addresses the limitations of Aspen Plus (AP), which distorts equilibrium calculations by directly multiplying efficiency with the distribution coefficient. A modified Murphree efficiency definition, more suitable for liquid-liquid systems but absent in AP's Extraction Column module, was implemented using Aspen Custom Modeler (ACM). The custom multi-stage extraction column model replaces mole fractions with mole flows to better represent mass transfer and phase interactions, enhancing simulation accuracy when imported into AP. Two test cases validated the custom model's effectiveness. Test Case I, utilizing the UNIQ-RK thermodynamic model, compared the ACM model to AP's built-in module, revealing that the ACM model provides a more realistic representation of extraction processes under varying stage efficiencies. It captured gradual efficiency changes and aligned with expected mass transfer behavior, while the built-in module showed reduced sensitivity and accuracy. Test Case II, using the UNIF-LL thermodynamic model, demonstrated the model's robustness across different thermodynamic frameworks. It highlighted how varying Murphree efficiency from 0 to 1 directly affects separation performance, with higher efficiencies leading to better separation and increased extract phase composition. These findings confirm that the modified Murphree efficiency is a reliable and effective approach, enabling engineers to optimize liquid-liquid extraction processes with greater accuracy and efficiency.
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Gupta, Vaishali, Khel Prakash Jayant, Manisha Aeri, Tarun Kumar Sharma, and Neeraj Varshney. "Enhancing Pulmonary Effusion Diagnosis using Automated Feature Extraction Algorithms." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10993963.

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Zhu, Hongyu, Wentao Hu, Sichu Liang, Fangqi Li, Wenwen Wang, and Shilin Wang. "Efficient and Effective Model Extraction." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887780.

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Li, Ruochen, Zimu Wang, and Xinya Du. "Efficient Document-level Event Relation Extraction." In Proceedings of the 10th Workshop on Representation Learning for NLP (RepL4NLP-2025). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.repl4nlp-1.7.

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S, Sandosh, and E. Sudheer Kumar. "Enhancing Extractive Text Summarization through Firefly Algorithm Optimization." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10994066.

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Momcilovic, Ana, and Gordana Stefanovic. "EFFICIENT ENERGY EXTRACTION FROM ORGANIC WASTE IN CIRCULAR SYSTEMS." In 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024). ECOS 2024, 2024. http://dx.doi.org/10.52202/077185-0128.

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Liu, Wanlong, Li Zhou, DingYi Zeng, et al. "Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.564.

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Reports on the topic "Extraction efficieny"

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Gates, Allison, Michelle Gates, Shannon Sim, Sarah A. Elliott, Jennifer Pillay, and Lisa Hartling. Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodscreatingefficiencies.

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Background. Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We prospectively evaluated an online machine learning and text mining tool’s ability to (a) automatically extract data elements from randomized trials, and (b) save time compared with manual extraction and verification. Methods. For 75 randomized trials published in 2017, we manually extracted and verified data for 21 unique data elements. We uploaded the randomized trials to ExaCT, an online machine learning and text mining tool, and quantified performance by evaluating the tool’s ability to identify the reporting of data elements (reported or not reported), and the relevance of the extracted sentences, fragments, and overall solutions. For each randomized trial, we measured the time to complete manual extraction and verification, and to review and amend the data extracted by ExaCT (simulating semi-automated data extraction). We summarized the relevance of the extractions for each data element using counts and proportions, and calculated the median and interquartile range (IQR) across data elements. We calculated the median (IQR) time for manual and semiautomated data extraction, and overall time savings. Results. The tool identified the reporting (reported or not reported) of data elements with median (IQR) 91 percent (75% to 99%) accuracy. Performance was perfect for four data elements: eligibility criteria, enrolment end date, control arm, and primary outcome(s). Among the top five sentences for each data element at least one sentence was relevant in a median (IQR) 88 percent (83% to 99%) of cases. Performance was perfect for four data elements: funding number, registration number, enrolment start date, and route of administration. Among a median (IQR) 90 percent (86% to 96%) of relevant sentences, pertinent fragments had been highlighted by the system; exact matches were unreliable (median (IQR) 52 percent [32% to 73%]). A median 48 percent of solutions were fully correct, but performance varied greatly across data elements (IQR 21% to 71%). Using ExaCT to assist the first reviewer resulted in a modest time savings compared with manual extraction by a single reviewer (17.9 vs. 21.6 hours total extraction time across 75 randomized trials). Conclusions. Using ExaCT to assist with data extraction resulted in modest gains in efficiency compared with manual extraction. The tool was reliable for identifying the reporting of most data elements. The tool’s ability to identify at least one relevant sentence and highlight pertinent fragments was generally good, but changes to sentence selection and/or highlighting were often required.
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Bleser E., J. W. Glenn, M. Tanaka, and R. Thern. SEB Extraction Study III - Measurement of Extraction Efficiency During the Spill. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/1131559.

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Yi Zheng and Matthew Stough. White LED with High Package Extraction Efficiency. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/963890.

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Zelenskyi, Arkadii A. Relevance of research of programs for semantic analysis of texts and review of methods of their realization. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2884.

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One of the main tasks of applied linguistics is the solution of the problem of high-quality automated processing of natural language. The most popular methods for processing natural-language text responses for the purpose of extraction and representation of semantics should be systems that are based on the efficient combination of linguistic analysis technologies and analysis methods. Among the existing methods for analyzing text data, a valid method is used by the method using a vector model. Another effective and relevant means of extracting semantics from the text and its representation is the method of latent semantic analysis (LSA). The LSA method was tested and confirmed its effectiveness in such areas of processing the native language as modeling the conceptual knowledge of the person; information search, the implementation of which LSA shows much better results than conventional vector methods.
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Brown, K. A., V. Schoefer, and M. Tomizawa. Improving extraction efficiency of the third integer resonant extraction using higher order multipoles. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1349573.

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Brown K. A., G. Marr, and B. Tamminga. Increasing Extraction Efficiency of Au77+ Beam Using H20. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/1132419.

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Bleser E., I.-H. Chiang, J. W. Glenn, M. Tanaka, and R. Thern. SEB Extraction Study II - Investigations of the Apparent Beam Intensity Dependence of Extraction Efficiency. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/1131552.

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Brown K. A., M. Tanaka, E. Bleser, P. Carolan, and J. W. Glenn. SEB Extraction Efficiency for Au+77 and Au+79. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/1131629.

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Leggett, Christina. Experimental Thermodynamic Studies for Efficient Extraction of Uranium from Seawater. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1164324.

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Jackson, Samuel, Christina Saltus, Molly Reif, and Glenn Suir. During Nearshore Event Vegetation Gradation (DUNEVEG) : geospatial tools for automating remote vegetation extraction. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47649.

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Monitoring and modeling of coastal vegetation and ecosystems are major challenges, especially when considering environmental response to hazards, disturbances, and management activities. Remote sensing applications can provide alternatives and complementary approaches to the often costly and laborious field-based collection methods traditionally used for coastal ecosystem monitoring. New and improved sensors and data analysis techniques have become available, making remote sensing applications attractive for evaluation and potential use in monitoring coastal vegetation properties and ecosystem conditions and changes. This study involves the extraction of vegetation metrics from airborne lidar and hyperspectral imagery (HSI) collected by the US Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) to quantify coastal dune vegetation characteristics. A custom geoprocessing toolbox and associated suite of tools were developed to allow inputs of common NCMP lidar and imagery products to help automate the workflow for extracting prioritized dune vegetation metrics in an efficient and repeatable way. This study advances existing coastal ecosystem knowledge and remote sensing techniques by developing new methodologies to classify, quantify, and estimate critical coastal vegetation metrics which will ultimately improve future estimates and predictions of nearshore dynamics and impacts from disturbance events.
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