Готові списки джерел за темами / Date extraction

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Добірка наукової літератури з теми "Date extraction"

Автор: Grafiati

Опубліковано: 19 червня 2022

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Статті в журналах з теми "Date extraction"

Kumar, Nitin, and Abhishek Pradhan. "Published Date Extraction System A semi-supervised approach of extraction." International Journal of Engineering Trends and Technology 45, no. 2 (March 25, 2017): 87–92. http://dx.doi.org/10.14445/22315381/ijett-v45p220.

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BOUSSENA, Zahida, and Mustapha KHALI. "Extraction and chemical composition of algerian date seeds oil." Nutrition & Santé 05, no. 02 (June 30, 2016): 100–106. http://dx.doi.org/10.30952/ns.5.2.5.

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Lo Giudice, Antonino, Lorenzo Rustico, Vincenzo Ronsivalle, Paola Spinuzza, Alessandro Polizzi, Angela Mirea Bellocchio, Simone Scapellato, Marco Portelli, and Riccardo Nucera. "A Full Diagnostic Process for the Orthodontic Treatment Strategy: A Documented Case Report." Dentistry Journal 8, no. 2 (May 6, 2020): 41. http://dx.doi.org/10.3390/dj8020041.

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The need for extractions in orthodontic treatment has always been a controversial topic. However, to date there is not a specific clinical guideline that can help the clinicians deciding to plan an extractive or a non-extractive orthodontic treatment. In this respect, clinicians must deal with patients’ occlusal, functional, periodontal and aesthetics characteristics before planning an orthodontic treatment including extraction. Considering the absence of specific guidelines, the choice to extract teeth or not is complicated, particularly in borderline cases. In this case report, we present a borderline case of a patient with the skeletal Class III pattern and significant crowding in both arches that could be treated with or without extraction, illustrating the diagnostic and decision-making processes that were conducted for the orthodontic treatment strategy.

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Salomón-Torres, Ricardo, Robert Krueger, Juan Pablo García-Vázquez, Rafael Villa-Angulo, Carlos Villa-Angulo, Noé Ortiz-Uribe, Jesús Arturo Sol-Uribe, and Laura Samaniego-Sandoval. "Date Palm Pollen: Features, Production, Extraction and Pollination Methods." Agronomy 11, no. 3 (March 8, 2021): 504. http://dx.doi.org/10.3390/agronomy11030504.

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Date palm pollen (DPP) plays a very important role in the fertilization process, since its viability and the pollination method influence on the quality, development, and yield of the fruit. In the present study, a broad review of its main characteristics, consumption, and DPP production are presented, as well as a description of its extraction methods and viability tests. The evolution of the pollination methods used in the date palm is also presented, from its natural pollination to the use of specialized mechanical and electrical devices, as well as the use of dry DPP and the current trend towards the use of DPP in liquid suspension. Likewise, the efficiency of the methods of natural pollination (wind); traditional (strands placement); dusting hand; dusting with manual, mechanical, or electric pollinator; and liquid pollination were evaluated from the fruit set percentage (FSP). Finally, starting from a scientometric analysis, the pollination methods were widely discussed, concluding that the dusting spraying of pollen suspension with liquid DPP is the pollination method that commonly presents the highest FSP, followed by dusting dry DPP with a motorized pollinator.

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Scholtz, Brenda, Thashen Padayachy, and Oluwande Adewoyin. "Pilot Testing of an Information Extraction (IE) Prototype for Legal Research." African Journal of Information and Communication, no. 25 (June 30, 2020): 1–20. http://dx.doi.org/10.23962/10539/29192.

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This article presents findings from pilot testing of elements of an information extraction (IE) prototype designed to assist legal researchers in engaging with case law databases. The prototype that was piloted seeks to extract, from legal case documents, relevant and accurate information on cases referred to (CRTs) in the source cases. Testing of CRT extraction from 50 source cases resulted in only 38% (n = 19) of the extractions providing an accurate number of CRTs. In respect of the prototype’s extraction of CRT attributes (case title, date, journal, and action), none of the 50 extractions produced fully accurate attribute information. The article outlines the prototype, the pilot testing process, and the test findings, and then concludes with a discussion of where the prototype needs to be improved.

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Alan Jiju, Shaun Tuscano, and Chetana Badgujar. "OCR Text Extraction." International Journal of Engineering and Management Research 11, no. 2 (April 18, 2021): 83–86. http://dx.doi.org/10.31033/ijemr.11.2.11.

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This research tries to find out a methodology through which any data from the daily-use printed bills and invoices can be extracted. The data from these bills or invoices can be used extensively later on – such as machine learning or statistical analysis. This research focuses on extraction of final bill-amount, itinerary, date and similar data from bills and invoices as they encapsulate an ample amount of information about the users purchases, likes or dislikes etc. Optical Character Recognition (OCR) technology is a system that provides a full alphanumeric recognition of printed or handwritten characters from images. Initially, OpenCV has been used to detect the bill or invoice from the image and filter out the unnecessary noise from the image. Then intermediate image is passed for further processing using Tesseract OCR engine, which is an optical character recognition engine. Tesseract intends to apply Text Segmentation in order to extract written text in various fonts and languages. Our methodology proves to be highly accurate while tested on a variety of input images of bills and invoices.

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Djaoud, Kahina, Lynda Arkoub-Djermoune, Hocine Remini, Sabrina Sait, Myriam Tazarourte, Samir Hadjal, Alberto Romero, Khodir Madani, and Lila Boulekbache-Makhlouf. "Syrup from Common Date Variety (Phoenix dactylifera L.): Optimization of Sugars Extraction and their Quantification by High Performance Liquid Chromatography." Current Nutrition & Food Science 16, no. 4 (July 13, 2020): 530–42. http://dx.doi.org/10.2174/1573401315666190115160950.

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Background: In Algeria, important quantities of secondary date variety (Phoenix dactylifera L.) are generated in each campaign; their chemical composition is similar to that of commercial dates. The present work aims to valorize this common date variety (Degla-beida) which is often poorly exploited. Methods: In this context, we tried to prepare syrup from the secondary date variety and evaluate the effect of conventional extraction (CE) or water bath extraction (WBE) and alternative extraction (microwaves assisted extraction (MAE) and ultrasound-assisted extraction (UAE)) on its total sugar content (TSC), using response surface methodology (RSM). Then, the analysis of individual sugars was performed by high performance liquid chromatography (HPLC). Results: Maximum predicted TSC recoveries under the optimized conditions for MAE, UAE and CE were 233.248 ± 3.594 g/l, 202.889 ± 5.797 g/l and 233.535 ± 5.412 g/l, respectively, which were close to the experimental values: 233.796 ± 1.898 g/l; 202.037 ± 3.401 g/l and 234.380 ± 2.425 g/l. HPLC analysis revealed high similarity in the sugar composition of date juices obtained by MAE (60.11% sucrose, 16.64% glucose and 23.25% fructose) and CE (50.78% sucrose, 20.67% glucose and 28.55% fructose), although a large difference was detected for that obtained by UAE (0.00% sucrose, 46.94% glucose and 53.06% fructose). Conclusion: Microwave-assisted extraction was the best method for the preparation of date syrup with an optimal recovery of total sugar content. However, ultrasound-assisted extraction was the best one for the preparation of date syrup with high content of reducing sugars.

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Edinborough, Kevan, Stephen Shennan, Anne Teather, Jon Baczkowski, Andrew Bevan, Richard Bradley, Gordon Cook, et al. "New Radiocarbon Dates Show Early Neolithic Date of Flint-Mining and Stone Quarrying in Britain." Radiocarbon 62, no. 1 (August 7, 2019): 75–105. http://dx.doi.org/10.1017/rdc.2019.85.

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ABSTRACTNew radiocarbon (14C) dates suggest a simultaneous appearance of two technologically and geographically distinct axe production practices in Neolithic Britain; igneous open-air quarries in Great Langdale, Cumbria, and from flint mines in southern England at ~4000–3700 cal BC. In light of the recent evidence that farming was introduced at this time by large-scale immigration from northwest Europe, and that expansion within Britain was extremely rapid, we argue that this synchronicity supports this speed of colonization and reflects a knowledge of complex extraction processes and associated exchange networks already possessed by the immigrant groups; long-range connections developed as colonization rapidly expanded. Although we can model the start of these new extraction activities, it remains difficult to estimate how long significant production activity lasted at these key sites given the nature of the record from which samples could be obtained.

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Derrouiche, Imene. "Study of Extraction and Characterization of Ultimate Date Palm Fibers." Advances in Materials 4, no. 5 (2015): 7. http://dx.doi.org/10.11648/j.am.s.2015040501.12.

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Al-Rahbi, Bushra Salim Nasser, and Dr Priy Brat Dwivedi. "EXTRACTION AND CHARACETRIZATION OF FURFURAL FROM WASTE OMANI DATE SEEDS." Green Chemistry & Technology Letters 2, no. 4 (December 31, 2016): 219. http://dx.doi.org/10.18510/gctl.2016.249.

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Purpose: Furfural (C5H4O2), is an economic and business product in European countries such as America and Australia. Previous years have seen a remarkable increase in the number of palm trees in the Arabian region. The percentage of furfural present in dates seed is around 30%. This paper outline the extraction of furfural from waste Omani date seeds. Methodology: Date seeds were washed, sun dried, heated at 1000C, ground, powdered, and mixed with solvent n-hexane for one day. Then filtered and filtrate was subjected to simple distillation at 600C in round bottom flask. Furfural was recovered in round-bottom flask and solvent was recovered in other beaker. This hexane was reused for furfural extraction from other batches. Findings: Extracted product was characterized by Carbon NMR, and Proton NMR. The Carbon NMR result the experiments were carried out in Bruker Avance III HD 700 MHz spectrometer equipped with 5mm TCI H/C/N cryoprobe. The proton NMR experiment was run using zg30 pulse program operating at 700.13 MHz. Occurrence of C-NMR peaks at 127, 131, 173 ppm confirms the presence of carbon atoms in furfural ring. And presence of H-NMR peaks between 4 to 8 ppm confirms the presence of furfural protons. Social Implications: Furfural substance is used in a number of the important chemical industries such as nylon, plastic, ratings that protect the metals from corrosion, solvents, adhesive, medicines, and plastics and is used in the industry of insecticides, fungicides, anti-microbe, and antiseptics. Therefore, it is widely used in the petrol refinery laboratories to treat the bad Carbon and different Sulfuric combinations existing in the lube oils and it is used in the operations of refining some types of fuel as well, such as diesel. Originality/Novelty: This study is done on Omani date seeds at Caledonian College of Engineering in Chemical Analysis Lab. Extraction product was characterized in Central Analytical and Applied Research Unit at Sultan Qaboos University, Muscat.

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Більше джерел

Дисертації з теми "Date extraction"

Akasha, Ibrahim Abdurrhman Mohamed. "Extraction and characterisation of protein fraction from date palm (Phoenix dactylifera L.) seeds." Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2771.

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To meet the challenges of protein price increases from animal sources, the development of new, sustainable and inexpensive proteins sources (nonanimal sources) is of great importance. Date palm (Phoenix dactylifera L.) seeds could be one of these sources. These seeds are considered a waste and a major problem to the food industry. In this thesis we report a physicochemical characterisation of date palm seed protein. Date palm seed was found to be composed of a number of components including protein and amino acids, fat, ash and fibre. The first objective of the project was to extract protein from date palm seed to produce a powder of sufficient protein content to test functional properties. This was achieved using several laboratory scale methods. Protein powders of varying protein content were produced depending on the method used. Most methods were based on solubilisation of the proteins in 0.1M NaOH. Using this method combined with enzymatic hydrolysis of seed polysaccharides (particularly mannans) it was possible to achieve a protein powder of about 40% protein (w/w) compared to a seed protein content of about 6% (w/w). Phenol/TCA extraction gave the protein powder with the highest protein percentage of 68.24% (w/w) and this powder was used for subsequent functional testing. Several factors were found to influence seed protein extraction such as pH, temperature, the extraction time, the solvent to sample ratio and the solvent concentration. Optimum conditions for extraction were found to be pH 10, 45˚C and extraction time of 60 min. The results showed that use of enzymes to hydrolyse and remove seed polysaccharides improved the extraction of date seed protein. Optimal improvement was obtained using Mannaway, which hydrolyses mannans and galactomannans, which gave a powder with 34.82% (w/w) protein compared to the control of 11.15% (w/w) protein. The proteins in the extracted date seed protein were profiled using LC/MSMS. Three-hundred and seventeen proteins were identified. The proteins belonged to all major functional categories. The most abundant proteins were glycinin and β-conglycinin, the two major seed storage proteins of plants. The functional properties of extracted date seed protein were investigated using a range of tests. The thermal properties of date seed proteins were consistent with a powder containing high levels of conglycinin and β-glycinin. The solubility had a similar pH profile to soy protein, but differed in absolute solubility due to differences in non-protein composition. Similarly, water holding and oil holding capacity of date seed protein was lower than for soy protein, probably because of compositional differences. Date seed proteins were able to emulsify oils and had a comparable emulsifying ability and emulsion stability to soy protein isolate. The date seed protein was not a good foaming agent compared to soy protein or whey protein concentrate.

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Al-Jasser, Mohammed S. "The feasibility of date processing Phoenix dactylifera L. var Sufri components using physical and pectolytic enzyme treatments." Thesis, Loughborough University, 1990. https://dspace.lboro.ac.uk/2134/6928.

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The Sufri variety of date is widely cultivated in Saudi Arabia, where it 'produced large quantities of dates. The high quality dates are consumed fresh, dried or preserved, the surplus and second quality dates may be damaged by improper harvesting, handling, transporting and processing. The Sufri variety of date is one of moderate quality and there is a surplus in local markets for processing into overflows to be used as "a base" for the food industry. The present work was conducted to increase soluble solids, including sugars, in the overflows and to maintain the quality of the underflows; chemical analysis of both the overflows and the underflows revealed that Sufri date contains proteins/ amino acids and pectin in small quantities, which can be utilised as byproducts. Physical treatment involved maceration with different ratios (date/water) at mild temperatures (30-60°C) for different times (10- 30 min). Over this range the increase in soluble solids in the overflow was at a minimum but the underflow retained its quality and softening of date tissues was achieved. Different extraction ratios indicated that a lower ratio produced a low overflow which was turbid, but that the higher ratios produced overflows which were dilute. Serial extractions with the same ratio in the initial extraction was not practical. In enzymic treatment, pectolytic enzymes were incubated with date underflows at different concentrations, temperatures for various incubation times. Overflows increased significantly over a short time and at low temperatures (30 min and 30°C) indicating the effectiveness of pectolytic enzymes in releasing more of the overflows, and sugars were increased in the overflows as an indication of the effect of these enzymes on date cell walls. Pure pectolytic enzymes were investigated and it was found that specificity was very important for selection of suitable pectolytic enzymes. It is concluded that the Sufri variety of date is a good source of reducing sugars, and its by-products have a promising future.

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Al, Bulushi Karima. "Supercritical CO2 extraction of waxes from date palm (Phoenix dactylifera) leaves : optimisation, characterisation, and applications." Thesis, University of York, 2018. http://etheses.whiterose.ac.uk/21257/.

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The low cost, abundant, underexploited and underutilised renewable agricultural waste residue, date palm leaves (Phoenix dactylifera), were extracted using supercritical carbon dioxide (scCO2) to obtain valuable waxes. The extraction process was optimised using second order factorial design to obtain high yield of waxes. Date palm leaves exhibited relatively high yield of wax of 3.49%, as compared to other agricultural residues extracted with scCO2. Diverse range of lipophilic compounds were characterised and quantified including n-alkanes, free fatty acids, free fatty alcohols, long chain aldehydes, sterols and wax esters. Waxes extracted at different extraction pressure and temperature exhibited significant difference in melting profile (ranging from 35 °C for extractions at 40°C and 80 Bar to melting points of 78 °C for extractions at 100 °C and 400 Bar). Thus, suggesting the opportunity to tailor extraction to meet a target application. ScCO2 extraction has several advantages over organic solvent extraction which were demonstrated in this work. Date palm leaves wax was tested as structuring agent for sunflower oil along with other commercial natural waxes. Date palm wax based oleogel exhibited low critical gelling concentrations compared to other waxes. Chemical composition and crystal morphology for the waxes and their gels were further explored to gain better understanding of their gelling behaviour. Date palm wax exhibited good gelling ability and high thermal stability compared to other commercial waxes. The rheological profile for date palm wax based oleogel was comparable with other natural waxes making it a promising structuring agent in food industry. The scale up of scCO2 extraction was studied at semi-pilot scale and resulted in comparable yields, chemical composition and melting profile of wax to the lab scale. Attempts to further reduce the complexity of the wax by fractional extraction, yielding three different wax fractions with varying in texture, composition and physical properties. Economic aspects of the extraction process were explored to further assess the viability of the process. Cost of Manufacture of date palm wax was initially €14.01 kg−1 wax, which could be further reduced to €8.80 kg-1 wax by biomass pelletising. If the extracted biomass was utilised to generate electricity the costs are further reduced to 3.88 kg−1 wax.

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Poulain, d'Andecy Vincent. "Système à connaissance incrémentale pour la compréhension de document et la détection de fraude." Thesis, La Rochelle, 2021. http://www.theses.fr/2021LAROS025.

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Le Document Understanding est la discipline de l’Intelligence Artificielle qui dote les machines du pouvoir de Lecture. Cette capacité sous-entend de comprendre dans une vision globale l’objet du document, sa classe, et dans une vision locale, des informations précises, des entités. Un double défi est de réussir ces opérations dans plus de 90% des cas tout en éduquant la machine avec le moins d’effort humain possible. Cette thèse défend la possibilité de relever ces défis avec des méthodes à apprentissage incrémental. Nos propositions permettent d’éduquer efficacement et itérativement une machine avec quelques exemples de document. Pour la classification, nous démontrons (1) la possibilité de découvrir itérativement des descripteurs textuels, (2) l’intérêt de tenir compte de l’ordre du discours et (3) l’intérêt d’intégrer dans le modèle de donnée incrémental une mémoire épisodique de quelques Souvenirs d’échantillon. Pour l’extraction d’entité, nous démontrons un modèle structurel itératif à partir d’un graphe en étoile dont la robustesse est améliorée avec quelques connaissances a priori d’ordre général. Conscient de l’importance économique et sociétale de la fraude dans les flux documentaires, cette thèse fait également le point sur cette problématique. Notre contribution est modeste en étudiant les catégories de fraude pour ouvrir des perspectives de recherche. Cette thèse a été conduite dans un cadre atypique en conjonction avec une activité industrielle à Yooz et des projets collaboratifs, en particulier, les projets FEDER SECURDOC soutenu par la région Nouvelle Aquitaine et Labcom IDEAS soutenu par l’ANR
The Document Understanding is the Artificial Intelligence ability for machines to Read documents. In a global vision, it aims the understanding of the document function, the document class, and in a more local vision, it aims the understanding of some specific details like entities. The scientific challenge is to recognize more than 90% of the data. While the industrial challenge requires this performance with the least human effort to train the machine. This thesis defends that Incremental Learning methods can cope with both challenges. The proposals enable an efficient iterative training with very few document samples. For the classification task, we demonstrate (1) the continue learning of textual descriptors, (2) the benefit of the discourse sequence, (3) the benefit of integrating a Souvenir of few samples in the knowledge model. For the data extraction task, we demonstrate an iterative structural model, based on a star-graph representation, which is enhanced by the embedding of few a priori knowledges. Aware about economic and societal impacts because the document fraud, this thesis deals with this issue too. Our modest contribution is only to study the different fraud categories to open further research. This research work has been done in a non-classic framework, in conjunction of industrial activities for Yooz and collaborative research projects like the FEDER Securdoc project supported by la région Nouvelle Aquitaine, and the Labcom IDEAS supported by the ANR

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Sottovia, Paolo. "Information Extraction from data." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/242992.

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Data analysis is the process of inspecting, cleaning, extract, and modeling data with the intention of extracting useful information in order to support users in their decisions. With the advent of Big Data, data analysis was becoming more complicated due to the volume and variety of data. This process begins with the acquisition of the data and the selection of the data that is useful for the desiderata analysis. With such amount of data, also expert users are not able to inspect the data and understand if a dataset is suitable or not for their purposes. In this dissertation, we focus on five problems in the broad data analysis process to help users find insights from the data when they do not have enough knowledge about its data. First, we analyze the data description problem, where the user is looking for a description of the input dataset. We introduce data descriptions: a compact, readable and insightful formula of boolean predicates that represents a set of data records. Finding the best description for a dataset is computationally expensive and task-specific; we, therefore, introduce a set of metrics and heuristics for generating meaningful descriptions at an interactive performance. Secondly, we look at the problem of order dependency discovery, which discovers another kind of metadata that may help the user in the understanding of characteristics of a dataset. Our approach leverages the observation that discovering order dependencies can be guided by the discovery of a more specific form of dependencies called order compatibility dependencies. Thirdly, textual data encodes much hidden information. To allow this data to reach its full potential, there has been an increasing interest in extracting structural information from it. In this regard, we propose a novel approach for extracting events that are based on temporal co-reference among entities. We consider an event to be a set of entities that collectively experience relationships between them in a specific period of time. We developed a distributed strategy that is able to scale with the largest on-line encyclopedia available, Wikipedia. Then, we deal with the evolving nature of the data by focusing on the problem of finding synonymous attributes in evolving Wikipedia Infoboxes. Over time, several attributes have been used to indicate the same characteristic of an entity. This provides several issues when we are trying to analyze the content of different time periods. To solve it, we propose a clustering strategy that combines two contrasting distance metrics. We developed an approximate solution that we assess over 13 years of Wikipedia history by proving its flexibility and accuracy. Finally, we tackle the problem of identifying movements of attributes in evolving datasets. In an evolving environment, entities not only change their characteristics, but they sometimes exchange them over time. We proposed a strategy where we are able to discover those cases, and we also test our strategy on real datasets. We formally present the five problems that we validate both in terms of theoretical results and experimental evaluation, and we demonstrate that the proposed approaches efficiently scale with a large amount of data.

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Diedhiou, Djibril. "Fractionnement analytique de la graine de neem (Azadirachta indica A. Juss.) et de la graine de dattier du désert (Balanites aegyptiaca L.) - Valorisation des constituants de la graine de neem par bioraffinage." Thesis, Toulouse, INPT, 2017. http://www.theses.fr/2017INPT0135/document.

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Les graines de neem et de dattier du désert ont été caractérisées et leurs perspectives de fractionnement orientées. Un procédé de fractionnement des graines de neem en extrudeur bi-vis a été étudié en vue d’une production et d’une valorisation intégrée de ses fractions: huile, coextrait d’azadirachtine, protéines et lipides, et raffinat d’extrusion. La mise en oeuvre de l’eau et des mélanges hydroéthanoliques (jusqu’à 75% d’éthanol) comme solvants d’extraction avec une configuration de l’extrudeur bi-vis définissant quatre zones (une zone d’alimentation, une zone de broyage, une zone d’extraction solide-liquide et une zone de séparation solide/liquide), permet d’extraire au filtrat 83 à 86% de l’azadirachtine, 86 à 92% des lipides et 44 à 74% des protéines de la graine et de produire un raffinat essentiellement fibreux, contenant au plus 8% de lipides, 12% de protéines et 0,82 g/kg d’azadirachtine. Une des meilleures voies de traitement de la suspension que constitue le filtrat brut est la séparation solide-liquide par centrifugation. Ce procédé de séparation permet d’obtenir une émulsion diluée contenant 42 à 64% des lipides et jusqu’à 41% des protéines de la graine. La décantation centrifuge permet de le réaliser efficacement, mais elle peut présenter des inconvénients pour le traitement de grands volumes. Considérée comme sous-produit du traitement du filtrat brut, la phase insoluble peut contenir 24 à 48% des lipides, 32,9 à 47% des protéines et 10 à 13% de l’azadirachtine de la graine. L’eau s’est avérée être le meilleur solvant de ce procédé de fractionnement. Le pressage des graines de neem suivi de l’extraction aqueuse ou hydroalcoolique dans le même extrudeur bi-vis permettent d’exprimer jusqu’à 32% de l’huile de la graine et de récupérer 20% de l’huile de la graine sous forme claire, avec très peu d’azadirachtine, en assurant de meilleurs rendements en azadirachtine et en protéines au filtrat brut. Deux voies de traitement des filtrats ont été étudiées : celle conduisant à une émulsion d’azadirachtine et celle conduisant à l’obtention d’une poudre lyophilisée d’azadirachtine. La valorisation du raffinat d’extrusion, fibreux, a été orientée vers la production d’agromatériaux par thermopressage. Un schéma de bioraffinage de la graine de neem pour la valorisation de ses constituants a été ainsi mis en place
Neem and desert date seeds were characterized and their fractionation perspectives oriented. A process of fractionation of neem seeds in twin-screw extruder has been studied for the purpose of production and integrated valorization of its fractions: oil, co-extract of azadirachtin, proteins and lipids, and extrusion raffinate. The use of water and water/ethanol mixtures (up to 75% ethanol) with a twin-screw extruder configuration defining four zones (a feed zone, a grinding zone, a solidliquid extraction zone and a solid / liquid separation zone), allows to extract from the filtrate 83 to 86% of the azadirachtin, 86 to 92% of the lipids and 44 to 74% of the proteins of the seed thereby producing a raffinate essentially fibrous containing at most 8% lipids, 12% proteins and 0.82 g/kg azadirachtin. One of the best ways of processing the suspension that is the crude filtrate, is a solid-liquid separation by centrifugation. This separation process makes it possible to obtain a diluted emulsion containing 42 to 64% of the lipids and up to 41% of the proteins of the seed. A centrifugation achieves it effectively, but this separation process can have disadvantages in the treatment of large volumes. Considered as a by-product of the treatment of crude filtrate, the insoluble phase can contain 42 to 64% of the lipids, 32.9 to 47% of the proteins and 10 to 13% of the azadirachtin of the seed. Water has proven to be the best solvent in this fractionation process. The pressing of the neem seeds followed by the aqueous or hydroalcoholic extraction in the same twin-screw extruder makes it possible to extract up to 32% of the oil of the seeds and to recover 20% of the seed oil in clear form, with very little azadirachtin, ensuring better extraction yields of azadirachtin and proteins to the crude filtrate. Two treatment pathways of the filtrates were studied: one leading to an emulsion of azadirachtin and another to a freeze-dried powder of azadirachtin. The valorization of the fibrous extrusion raffinate has been oriented towards the production of agromaterials by thermopressing. A biorefinery scheme of the neem seed for the valorization of its constituents has thus be implemented

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Bigg, Daniel. "Unsupervised financial knowledge extraction." Available from the University of Aberdeen Library and Historic Collections Digital Resources. Online version available for University member only until Jan. 1, 2014, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=33589.

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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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Thelen, Andrea. "Optimized surface extraction from holographic data." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980418798.

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Zhou, Yuanqiu. "Generating Data-Extraction Ontologies By Example." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1115.pdf.

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Книги з теми "Date extraction"

Franza, Annarita, Johannes Mattes, and Giovanni Pratesi, eds. Collectio Mineralium. Florence: Firenze University Press, 2022. http://dx.doi.org/10.36253/978-88-5518-494-6.

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This work is the critical edition of the catalog of Holy Roman Emperor Leopold’s II mineralogical collection. The volume, unpublished and preserved at the Historical Archives of the University of Firenze Museum System, dates to 1765 and describes 242 mineralogical specimens coming primarily from the current Slovak-Hungarian mining district. This edition gives the transcription of the German manuscript and its translation into English together with an organized system of notation to illustrate the complex history of the text, the characterization of the mineralogical species, and the geographical location of the mineral extraction sites. This work represents to date the only published catalog of a mineralogical collection belonging to a member of the Habsburg-Lorraine family.

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Franza, Annarita, Johannes Mattes, and Giovanni Pratesi, eds. Collectio Mineralium. Florence: Firenze University Press, 2022. http://dx.doi.org/10.36253/978-88-5518-494-6c.

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Paolo, Coletti, ed. Information extraction in finance. Southampton: WIT Press, 2008.

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Developments in data extraction, management, and analysis. Hershey, PA: Information Science Reference, 2012.

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Mendelssohn, Roy. Comprehensive Ocean Data Set Extraction: User's guide. [La Jolla, Calif.]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southwest Fisheries Science Center, 1996.

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

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Frank, Lemke, ed. Self-organising data mining: Extracting knowledge from data. Dresden [u.a.]: J.-A. Müller, 2000.

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Kipps, James R. Extracting tactical data from operation orders. Santa Monica, CA: Rand, 1992.

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Ouyahia, Lamine. Extracting data from several web sites. Oxford: Oxford Brookes University, 2002.

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Ward, Thomas E. Kinetic data extraction and analysis system for human gait. Dublin: University College Dublin, 1996.

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Частини книг з теми "Date extraction"

Hassani, Fatima-Zahra Semlali Aouragh, Hind Chakchak, Mounir El Achaby, Rachid Bouhfid, and Abou El Kacem Qaiss. "Date Palm Fiber Extraction and Treatment." In Date Palm Fiber Composites, 75–91. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9339-0_2.

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Naik, Poornananda M., and Jameel M. Al-Khayri. "Extraction and Estimation of Secondary Metabolites from Date Palm Cell Suspension Cultures." In Methods in Molecular Biology, 319–32. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7156-5_26.

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Fakhfakh, Jawhar, Sahar Ben-Youssef, Mu Naushad, and Noureddine Allouche. "Different Extraction Methods, Physical Properties and Chemical Composition of Date Seed Oil." In Sustainable Agriculture Reviews, 125–53. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11345-2_7.

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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Dates and Julian dates." In Practical R for biologists: an introduction, 227–39. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0227.

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Abstract This chapter deals with dates and Julian dates. To illustrate some date handling, the chapter will look at nest building and laying dates for breeding pairs of the blue tit (Cyanistes caeruleus) in Europe, on the mainland and on the island of Corsica. The problem with two-digit dates and POSIX (using data available online for burials at the Hope Cemetery, Derbyshire, UK); phenology and the density function (using data on European corn borer collected in 2003 at a light trap); extraction of day and month from Julian days; and the seasonal patterns and other smoothing curves (presenting data on the abundance (shell influx) of the foraminiferan Turborotalita quinqueloba amassed over a nearly 3-year sampling period at a given site) are described.

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Wang, Chunxia, Yihan Liu, Hongbin Wang, Lianxiang Du, and Fuping Lu. "Nanofiltration Extraction and Purification Method for Cyclic Adenosine Monophosphate (cAMP) from Chinese Date Fruit." In Lecture Notes in Electrical Engineering, 521–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45657-6_54.

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Meinel, Christoph, Justus Broß, Philipp Berger, and Patrick Hennig. "Data Extraction." In Blogosphere and its Exploration, 83–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44409-2_11.

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Tod, David. "Data Extraction." In Conducting Systematic Reviews in Sport, Exercise, and Physical Activity, 83–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12263-8_7.

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Jennings, W. Bryan. "DNA Extraction." In Phylogenomic Data Acquisition, 67–79. Boca Raton: Taylor & Francis, 2017.: CRC Press, 2016. http://dx.doi.org/10.1201/9781315181431-4.

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Zong, Chengqing, Rui Xia, and Jiajun Zhang. "Information Extraction." In Text Data Mining, 227–83. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0100-2_10.

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Тези доповідей конференцій з теми "Date extraction"

Banciu, Valentina, Elisabeth Oswald, and Carolyn Whitnall. "Reliable Information Extraction for Single Trace Attacks." In Design, Automation and Test in Europe. New Jersey: IEEE Conference Publications, 2015. http://dx.doi.org/10.7873/date.2015.0135.

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Hu, Xin, Tarek Moselhy, Jacob White, and Luca Daniel. "Optimization-based Wideband Basis Functions for Efficient Interconnect Extraction." In Design, Automation & Test in Europe Conference. IEEE, 2007. http://dx.doi.org/10.1109/date.2007.364458.

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Hosangadi, A., F. Fallah, and R. Kastner. "Optimizing High Speed Arithmetic Circuits Using Three-Term Extraction." In 2006 Design, Automation and Test in Europe. IEEE, 2006. http://dx.doi.org/10.1109/date.2006.244103.

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Danese, Alessandro, Tara Ghasempouri, and Graziano Pravadelli. "Automatic Extraction of Assertions from Execution Traces of Behavioural Models." In Design, Automation and Test in Europe. New Jersey: IEEE Conference Publications, 2015. http://dx.doi.org/10.7873/date.2015.0110.

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Cordes, D., and P. Marwedel. "Multi-objective aware extraction of task-level parallelism using genetic algorithms." In 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE 2012). IEEE, 2012. http://dx.doi.org/10.1109/date.2012.6176503.

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El-Moselhy, Tarek, and Luca Daniel. "Variation-aware interconnect extraction using statistical moment preserving model order reduction." In 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010). IEEE, 2010. http://dx.doi.org/10.1109/date.2010.5457161.

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Traub, Matthias, Thilo Streichert, Oleg Krasovytskyy, and Jurgen Becker. "Scenario extraction for a refined timing-analysis of automotive network topologies." In 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010). IEEE, 2010. http://dx.doi.org/10.1109/date.2010.5457231.

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Cao, Ruping, Julien Billoudet, John Ferguson, Lionel Couder, John Cayo, Alexandre Arriordaz, and Ian O’Connor. "LVS Check for Photonic Integrated Circuits – Curvilinear Feature Extraction and Validation." In Design, Automation and Test in Europe. New Jersey: IEEE Conference Publications, 2015. http://dx.doi.org/10.7873/date.2015.0993.

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Liu, Bao. "Spatial Correlation Extraction via Random Field Simulation and Production Chip Performance Regression." In 2008 Design, Automation and Test in Europe. IEEE, 2008. http://dx.doi.org/10.1109/date.2008.4484904.

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Yang Xu, Bing Li, R. Hasholzner, B. Rohfleisch, C. Haubeltz, and J. Teichz. "Variation-aware leakage power model extraction for system-level hierarchical power analysis." In 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE 2012). IEEE, 2012. http://dx.doi.org/10.1109/date.2012.6176495.

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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), August 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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Van Wychen, Stefanie R., and Lieve M. Laurens. Determination of Total Sterols in Microalgae by Acid Hydrolysis and Extraction: Laboratory Analytical Procedure (LAP). Issue Date: December 21, 2018. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1488917.

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Griffin, Andrew, Sean Griffin, Kristofer Lasko, Megan Maloney, S. Blundell, Michael Collins, and Nicole Wayant. Evaluation of automated feature extraction algorithms using high-resolution satellite imagery across a rural-urban gradient in two unique cities in developing countries. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40182.

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Feature extraction algorithms are routinely leveraged to extract building footprints and road networks into vector format. When used in conjunction with high resolution remotely sensed imagery, machine learning enables the automation of such feature extraction workflows. However, many of the feature extraction algorithms currently available have not been thoroughly evaluated in a scientific manner within complex terrain such as the cities of developing countries. This report details the performance of three automated feature extraction (AFE) datasets: Ecopia, Tier 1, and Tier 2, at extracting building footprints and roads from high resolution satellite imagery as compared to manual digitization of the same areas. To avoid environmental bias, this assessment was done in two different regions of the world: Maracay, Venezuela and Niamey, Niger. High, medium, and low urban density sites are compared between regions. We quantify the accuracy of the data and time needed to correct the three AFE datasets against hand digitized reference data across ninety tiles in each city, selected by stratified random sampling. Within each tile, the reference data was compared against the three AFE datasets, both before and after analyst editing, using the accuracy assessment metrics of Intersection over Union and F1 Score for buildings and roads, as well as Average Path Length Similarity (APLS) to measure road network connectivity. It was found that of the three AFE tested, the Ecopia data most frequently outperformed the other AFE in accuracy and reduced the time needed for editing.

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Gallis, Michail A., and Edward Stanley Piekos. Accelerating DSMC data extraction. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/922066.

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Nurre, Joseph H. Automate Information Extraction from Scan Data. Fort Belvoir, VA: Defense Technical Information Center, November 1998. http://dx.doi.org/10.21236/ada362095.

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Toutin, Th. Road Extraction from Stereo RADARSAT Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/219519.

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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.], December 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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Youtsey, Wesley J., and Robert L. Woodyard. Bathymetric Data Set Extraction Program. Users Guide. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada274761.

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Bradtmiller, Bruce. Automating Information Extraction from 3-D Scan Data. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada361314.

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Chang, Kevin C., Truman Shuck, and Govind Kabra. Web-Scale Search-Based Data Extraction and Integration. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada554205.

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