Academic literature on the topic 'Extraction de dates'
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Journal articles on the topic "Extraction de dates"
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Bee Lin, Chua, and Chen Yen Leng. "Solid-Liquid Extraction Kinetics of Total Phenolic Compounds (TPC) from Red Dates." MATEC Web of Conferences 152 (2018): 01001. http://dx.doi.org/10.1051/matecconf/201815201001.
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Red dates are one of the most famous herbal plants in making traditional Chinese medicine. They contain large amount of bioactive compounds. The objectives of this research were to optimise the crude extract yield and total phenolic compounds (TPC) yield from red dates using response surface methodology (RSM) and model the extraction kinetics of TPC yield from red dates. Date fruits were dried in an oven under temperatures 50°C, 60°C, 70°C and 80°C until a constant weight was obtained. The optimum drying temperature was 60°C as it gave the highest crude extract yield and TPC yield. Besides that, single factor experiments were used to determine the optimum range of four extraction parameters which were: liquid-solid ratio (10-30 ml/g); ultrasonic power (70-90%); extraction temperature (50-70°C); and extraction time (40-60min). The optimum range of the four parameters were further optimised using the Box-Behken Design (BBD) of RSM. The extraction conditions that gave the highest crude extract yield and TPC yield were chosen. The optimum value for liquid-solid ratio, ultrasonic power, extraction temperature and extraction time were 30ml/g, 70%, 60°C and 60 min respectively. The two equations generated from RSM were reliable and can be used to predict the crude extract yield and TPC yield. The higher the extraction temperature, liquid-solid ratio, and extraction time and lower ultrasonic power, the higher the crude extract and TPC yield. Finally, the results of TPC yield versus time based on the optimum extraction parameters from RSM optimisation were fitted into three extraction kinetic models (Peleg’s model, Page’s model and Ponomaryov’s model). It was found that the most suitable kinetic model to represent the extraction process of TPC from red dates was Page’s model due to its coefficient of determination (R2) was the closest to unity, 0.9663 while its root mean square error (RMSE) was the closest to zero, 0.001534.
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Ravikumar, Haripriya, Chua Bee Lin, Chen Yen Leng, Ameena Ali, and Choo Choong Oon. "PRE-TREATMENT TEMPERATURE AND MULTI-RESPONSE SURFACE OPTIMISATION OF ULTRASOUND-ASSISTED EXTRACTION OF ANTIOXIDANTS FROM RED DATES." Journal of Experimental Biology and Agricultural Sciences 9, Spl-1- GCSGD_2020 (2021): S148—S160. http://dx.doi.org/10.18006/2021.9(spl-1-gcsgd_2020).s148.s160.
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Ziziphus jujube known as red dates are natural flora, are a rich source of antioxidant bioactive compounds and are widely used in making Chinese traditional medicine. However, the optimization of extraction conditions and demonstration of extraction kinetics of red dates remains a gap. Therefore, the main objective of this research was to enhance the antioxidant activity via DPPH, crude extract yield, and TPC by response surface methodology (RSM). Also, mathematical modeling of the TPC extraction kinetics was performed. Single-factor experiments were adopted to identify the preliminary RSM ranges of four extraction parameters such as liquid-solid ratio (10, 20, and 30 ml/g), extraction temperature (50, 60 and 70°C), time (40, 50 and 60min), and ultrasonic power (70, 80 and 90%). The extraction kinetics based on RSM optimized conditions were modeled into six extraction kinetic models. As result, the highest crude extract yield (4.56 g), highest TPC (0.023 g GAE/g extract), and highest antioxidant activity (85.88%) were obtained at 60ºC. The optimum values were liquid-solid ratio 30ml/g, extraction temperature 60°C, time 60 min, and ultrasonic power 70%. The antioxidant activity of red dates after optimization (90.59%) was higher than that of synthetic antioxidants, Butylated Hydroxytoluene (84.71%), and Butylated Hydroxyanisole (77.73%). Furthermore, the best-fitted kinetic model was the second-order kinetic model due to its coefficient of determination (R2) at 0.9849, being the closest to 1 and its root mean square error (RMSE) was the lowest, 0.001028 among other models.
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Hormes, Anne, Christian Schlüchter, and Thomas F. Stocker. "Minimal Extension Phases of Unteraarglacier (Swiss Alps) During the Holocene Based on 14C Analysis of Wood." Radiocarbon 40, no. 2 (1997): 809–17. http://dx.doi.org/10.1017/s0033822200018762.
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Tree trunks and wood fragments in minerotrophic fen peat that accumulated as the result of a jökulhlaup in the outwash plain of Unteraarglacier were radiocarbon-dated using conventional ß-counting. Different pretreatment methods were tested on two wood samples to determine the reliability of our dates. We dated the wood compounds after extended acid-alkali-acid treatment, as well as extraction of cellulose and lignin. The results of the samples Picea (B-6687) and Pinus cent-bra (B-6699) show insignificant differences of < 1σ.The 14C dates represent retreat of Unteraarglacier due to warmer and/or drier phases in the Holocene compared to modern climate conditions. The glacier was at least several hundred meters smaller in extent than today ca. 8100–7670 bp, 6175–5780 bp, 4580–4300 bp, 4100–3600 bp and 3380–3200 bp. The 14C dates suggest a ca. 2000-yr cyclicity of tree growth in the area covered by the present Unteraarglacier. The most intense warm and dry period occurred between 4100 bp (probably extending back to 4580 bp) and 3600 bp, with growth of fen peat between 3800 and 3600 bp attributed to wetter conditions.
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Chen, James Lin, Chhaya Shadra, Cheryl D. Cho-Phan, Aradhana Ghosh, and Jonathan Hirsch. "Deriving real-world oral antineoplastic treatment endpoints: A comparison of automated data extraction versus manual chart abstraction." Journal of Clinical Oncology 37, no. 15_suppl (2019): e18070-e18070. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e18070.
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e18070 Background: Real world data (RWD) is increasingly being used to generate evidence that informs clinical care. Calculating outcomes measures using RWD, such as time-on-treatment (ToT), requires accurate medication start/end dates. Whereas intravenously administered medication dates are typically available, dates for oral antineoplastics (OANs) are challenging as they are filled by specialty pharmacies and documented separately. To determine the feasibility of automated ToT extraction, we used the Syapse Learning Health Network to compare the utility of automated chart extraction (ACE) and of manual chart abstraction (MCA) from the electronic health record (EHR) in providing high-quality OAN data. Methods: We selected cancer patients (pts) from two histologies for whom OANs were prescribed. For these pts, ACE was compared to MCA. ACE data were derived from EHR structured medication lists through existing interoperability pipelines. MCA was performed by 4 trained data abstractors who reviewed the corresponding progress notes per pt. Expected date of OAN start/end, and actual medication start/end, were recorded as available. Chi-square and descriptive statistics were used for analysis. Results: 61 cancer pts (31 lung, 30 breast; mean age 62y [27-90]; 20% male) who received OAN from 3 multi-hospital medical systems were evaluated. ACE detected a greater number of expected start/end dates as compared to MCA (Table, P < 0.001). In contrast, for actual start/end dates, the converse was true; ACE was inferior to MCA (P < 0.001). Noteworthy, only 26% of pts had actual start/end dates using manual chart abstraction only. There was no concordance between the actual ACE and MCA dates. We evaluated if ACE expected ToT dates could be used as a surrogate for actual MCA ToT dates. Of the 12 pts satisfying this criteria, mean discordance in ToT was 19 days (1-71 days). Conclusions: MCA only captured actual ToT in a small minority of pts. ACE expected dates were a poor surrogate for ToT and highly discordant to over 2 months. Neither MCA nor ACE from EHR data were adequate for the majority of pts. Alternative mechanisms such as integration with additional data sources like specialty pharmacy dispensing records are essential. [Table: see text]
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Brock, Fiona. "Radiocarbon Dating of Historical Parchments." Radiocarbon 55, no. 2 (2013): 353–63. http://dx.doi.org/10.1017/s0033822200057477.
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A range of pretreatment methods was applied to 6 known-age historical parchments to investigate the most suitable methods for effectively removing contamination and ensuring accurate radiocarbon dates while minimizing unnecessary destruction of potentially valuable historical documents. The methods tested included an acid wash, different concentrations of acid-base-acid (ABA) pretreatments, the current routine ABA method applied at the Oxford Radiocarbon Accelerator Unit (ORAU) that includes an additional bleach treatment, and extraction of collagen. The C:N atomic weight ratio of the untreated and pretreated parchment fractions was observed to be a useful indicator of the presence or successful removal of contaminants. The pretreatment methods that produced the most accurate 14C dates and acceptable C:N ratios were found to be ABA protocols (without bleach) and collagen extraction; solvent washes and acid pretreatments alone were not sufficient to remove all contaminants and produce reliable 14C dates. The inclusion of a base wash did not affect the 14C dates of the samples, but did favorably influence the C:N ratio of the final product.
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Saito, Katsuichi, Takahiro Noda, Shogo Tsuda, et al. "Effect of the dates of extraction on the quality of potato pulp." Bioresource Technology 97, no. 18 (2006): 2470–73. http://dx.doi.org/10.1016/j.biortech.2005.10.022.
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Maggi, Roberto, and Mark Pearce. "Mid fourth-millennium copper mining in Liguria, north-west Italy: the earliest known copper mines in Western Europe." Antiquity 79, no. 303 (2005): 66–77. http://dx.doi.org/10.1017/s0003598x00113705.
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This paper presents twelve new radiocarbon dates from copper mines at Monte Loreto in Liguria, northwest Italy, which indicate that extraction began around 3500 cal BC, making these the earliest copper mines to be discovered in Western Europe so far. The dates are placed in their regional context, with a discussion of results from Libiola and other sites associated with early copper mining.
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Orlova, Lyobov A., Vasily N. Zenin, Anthony J. Stuart, et al. "Lugovskoe, Western Siberia: A Possible Extra-Arctic Mammoth Refugium at the End of the Late Glacial." Radiocarbon 46, no. 1 (2004): 363–68. http://dx.doi.org/10.1017/s0033822200039667.
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Eleven woolly mammoth bone samples from Lugovskoe (central West Siberian Plain, Russia) were radiocarbon dated in 3 laboratories: Institute of Geology, Novosibirsk; Oxford University, Oxford; and Christian Albrechts University, Kiel. Each laboratory used its own protocol for collagen extraction. Parallel dating was carried out on 3 samples in Novosibirsk and Oxford. Two results are in good agreement. However, there is a major discrepancy between 2 dates obtained for the third sample. The dates obtained so far on the Lugovskoe mammoths range from about 18,250 BP to about 10,210 BP. The Lugovskoe results thus far confirm the possibility of woolly mammoth survival south of Arctic Siberia in the Late Glacial after about 12,000 BP, which has important implications for interpreting the process of mammoth extinction. The site has also produced the first reliable traces of human occupation from central Western Siberia at the Late Glacial, including unique direct evidence of mammoth hunting.
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Savin, I. Yu, and E. Yu Prudnikova. "ABOUT OPTIMAL DATES OF SATELLITE IMAGES ACQUISITION FOR ARABLE SOIL MAPPING." Dokuchaev Soil Bulletin, no. 74 (December 30, 2014): 66–77. http://dx.doi.org/10.19047/0136-1694-2014-74-66-77.
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The state of the exposed surface of arable soils strongly varies in time and depends on properties of the upper soil horizon, meteorological conditions, and specific character of its usage. A change of the arable soil surface has a significant effect on their image on remote sensing data. For the maximum extraction of information about the spatial heterogeneities of soil properties satellite survey must be carried out before the first treatment of the surface of arable soils in spring.
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Mourer, Charles R., Gregory L. Hall, William E. Whitehead, and Takayuki Shibamoto. "Gas Chromatographic Method for Determination of Chlorpyrifos and Its Metabolite 3,5,6-Trichloro-2-Pyridinol (TCP) in Dates." Journal of AOAC INTERNATIONAL 73, no. 2 (1990): 294–97. http://dx.doi.org/10.1093/jaoac/73.2.294.
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Abstract A method is described for the determination of the Insecticide chlorpyrifos and its metabolite TCP in green, unprocessed, and processed dates with the seeds incorporated. After extraction, chloropyrifos is cleaned up using Florisil and analyzed using a gas chromatograph (GC) equipped with a nitrogen/phosphorus detector. TCP is derivatized using bis- (trimethylsilyl)-acetamide (BSA) to form the TCP-derivative and analyzed by a gas chromatograph equipped with a Hall electrolytic conductivity detector. Recoveries of chlorpyrifos from all fortified dates (0.05 and 0.1 ppm) ranged from 86 to 110 % with an average of 94.5 %. Recoveries of TCP from all fortified dates (0.1 and 0.2 ppm) ranged from 79 to 99% with an average of 86%. Limits of detection for chlorpyrifos and TCP in green, unprocessed, and processed dates were 0.02 and 0.05 ppm, respectively.
Dissertations / Theses on the topic "Extraction de dates"
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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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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<br>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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Weingessel, Andreas, Martin Natter, and Kurt Hornik. "Using independent component analysis for feature extraction and multivariate data projection." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1998. http://epub.wu.ac.at/1424/1/document.pdf.
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Deriving low-dimensional perceptual spaces from data consisting of many variables is of crucial interest in strategic market planning. A frequently used method in this context is Principal Components Analysis, which finds uncorrelated directions in the data. This methodology which supports the identification of competitive structures can gainfully be utilized for product (re)positioning or optimal product (re)design. In our paper, we investigate the usefulness of a novel technique, Independent Component Analysis, to discover market structures. Independent Component Analysis is an extension of Principal Components Analysis in the sense that it looks for directions in the data that are not only uncorrelated but also independent. Comparing the two approaches on the basis of an empirical data set, we find that Independent Component Analysis leads to clearer and sharper structures than Principal Components Analysis. Furthermore, the results of Independent Component Analysis have a reasonable marketing interpretation.<br>Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
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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, 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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Bosch, Vicente Juan José. "From heuristics-based to data-driven audio melody extraction." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/404678.
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The identification of the melody from a music recording is a relatively easy task for humans, but very
challenging for computational systems. This task is known as "audio melody extraction", more
formally defined as the automatic estimation of the pitch sequence of the melody directly from the
audio signal of a polyphonic music recording. This thesis investigates the benefits of exploiting
knowledge automatically derived from data for audio melody extraction, by combining digital signal
processing and machine learning methods. We extend the scope of melody extraction research by
working with a varied dataset and multiple definitions of melody. We first present an overview of the
state of the art, and perform an evaluation focused on a novel symphonic music dataset. We then
propose melody extraction methods based on a source-filter model and pitch contour characterisation
and evaluate them on a wide range of music genres. Finally, we explore novel timbre, tonal and
spatial features for contour characterisation, and propose a method for estimating multiple melodic
lines. The combination of supervised and unsupervised approaches leads to advancements on
melody extraction and shows a promising path for future research and applications.<br>La identificación de la melodía en una grabación musical es una tarea relativamente fácil para seres
humanos, pero muy difícil para sistemas computacionales. Esta tarea se conoce como "extracción de
melodía", más formalmente definida como la estimación automática de la secuencia de alturas
correspondientes a la melodía de una grabación de música polifónica. Esta tesis investiga los
beneficios de utilizar conocimiento derivado automáticamente de datos para extracción de melodía,
combinando procesado digital de la señal y métodos de aprendizaje automático. Ampliamos el
alcance de la investigación en este campo, al trabajar con un conjunto de datos variado y múltiples
definiciones de melodía. En primer lugar presentamos un extenso análisis comparativo del estado de
la cuestión y realizamos una evaluación en un contexto de música sinfónica. A continuación,
proponemos métodos de extracción de melodía basados en modelos de fuente-filtro y la
caracterización de contornos tonales, y los evaluamos en varios géneros musicales. Finalmente,
investigamos la caracterización de contornos con información de timbre, tonalidad y posición
espacial, y proponemos un método para la estimación de múltiples líneas melódicas. La combinación
de enfoques supervisados y no supervisados lleva a mejoras en la extracción de melodía y muestra
un camino prometedor para futuras investigaciones y aplicaciones.
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Rosenthal, Paul, Vladimir Molchanov, and Lars Linsen. "A Narrow Band Level Set Method for Surface Extraction from Unstructured Point-based Volume Data." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-70373.
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Level-set methods have become a valuable and well-established field of visualization over the last decades. Different implementations addressing different design goals and different data types exist. In particular, level sets can be used to extract isosurfaces from scalar volume data that fulfill certain smoothness criteria. Recently, such an approach has been generalized to operate on unstructured point-based volume data, where data points are not arranged on a regular grid nor are they connected in form of a mesh. Utilizing this new development, one can avoid an interpolation to a regular grid which inevitably introduces interpolation errors. However, the global processing of the level-set function can be slow when dealing with unstructured point-based volume data sets containing several million data points.
We propose an improved level-set approach that performs the process of the level-set function locally. As for isosurface extraction we are only interested in the zero level set, values are only updated in regions close to the zero level set. In each iteration of the level-set process, the zero level set is extracted using direct isosurface extraction from unstructured point-based volume data and a narrow band around the zero level set is constructed. The band consists of two parts: an inner and an outer band. The inner band contains all data points within a small area around the zero level set. These points are updated when executing the level set step. The outer band encloses the inner band providing all those neighbors of the points of the inner band that are necessary to approximate gradients and mean curvature. Neighborhood information is obtained using an efficient kd-tree scheme, gradients and mean curvature are estimated using a four-dimensional least-squares fitting approach. Comparing ourselves to the global approach, we demonstrate that this local level-set approach for unstructured point-based volume data achieves a significant speed-up of one order of magnitude for data sets in the range of several million data points with equivalent quality and robustness.
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López, Massaguer Oriol 1972. "Development of informatic tools for extracting biomedical data from open and propietary data sources with predictive purposes." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/471540.
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Hem desenvolupat noves eines de software per tal d’obtenir informació de fonts publiques i privades per tal de desenvolupar models de toxicitat in silico. La primera eina es Collector, una aplicació de programari lliure que genera series de compostos preparats per fer modelat QSAR anotats amb bioactivitats extretes de la plataforma Open PHACTS usant tecnologies de la web semàntica. Collector ha estat utilitzada dins el projecte eTOX per desenvolupar models predictius sobre endpoints de toxicitat.
Addicionalment hem concebut, desenvolupat i implementat un mètode per derivar scorings de toxicitat apropiats per modelatge predictiu que utilitza les dades obtingudes de informes d’estudis amb dosis repetides in vivo de la industria farmacèutica.
El nostre mètode ha estat testejant aplicant-lo al modelat de hepatotoxicitat obtenint les dades corresponents per 3 endpoints: ‘degenerative lesions’, ‘inflammatory liver changes’ and ‘non-neoplasic proliferative lesions’. S’ha validat la idoneïtat d’aquestes dades obtingudes comparant-les amb els valors de point of departure obtinguts experimentalment i també desenvolupant models QSAR de prova obtenint resultats acceptables.
El nostre mètode es basa en la inferència basada en ontologies per extreure informació de la nostra base de dades on tenim dades anotades basades en ontologies.
El nostre mètode també es pot aplicar a altres bases de dades amb informació preclínica per generar scorings de toxicitat. Addicionalment el nostre mètode d’inferència basat en ontologies es pot aplicar a d’altre bases de dades relacionals anotades amb ontologies.<br>We developed new software tools to obtain information from public and private data sources to develop in silico toxicity models. The first of these tools is Collector, an Open Source application that generates “QSAR-ready” series of compounds annotated with bioactivities, extracting the data from the Open PHACTS platform using semantic web technologies. Collector was applied in the framework of the eTOX project to develop predictive models for toxicity endpoints.
Additionally, we conceived, designed, implemented and tested a method to derive toxicity scorings suitable for predictive modelling starting from in vivo preclinical repeated-dose studies generated by the pharmaceutical industry.
This approach was tested by generating scorings for three hepatotoxicity endpoints: ‘degenerative lesions’, ‘inflammatory liver changes’ and ‘non-neoplasic proliferative lesions’. The suitability of these scores was tested by comparing them with experimentally obtained point of departure doses as well as by developing tentative QSAR models, obtaining acceptable results.
Our method relies on ontology-based inference to extract information from our ontology annotated data stored in a relational database.
Our method, as a whole, can be applied to other preclinical toxicity databases to generate toxicity scorings. Moreover, the ontology-based inference method on its own is applicable to any relational databases annotated with ontologies.
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Luis, Peña Christian Jair. "Diseño de la arquitectura de un extractor de endmembers de imágenes hiperespectrales sobre un FPGA en tiempo real." Bachelor's thesis, Pontificia Universidad Católica del Perú, 2018. http://tesis.pucp.edu.pe/repositorio/handle/123456789/13046.
Full textAbstract:
El presente trabajo consiste en el dise˜no hardware de un extractor de endmembers
para im´agenes hiperespectrales en tiempo real empleando el algoritmo N-FINDR. Para
comprobar la efeciencia de la arquictectura se utiliz´o la imagen hiperespectral Cuprite la
cual tiene un tama˜no de 350 350 y fue capturada por el sensor aerotransportado AVIRIS,
el cual escanea una columna de 512 p´ıxeles en 8.3ms. Por ende, el procesamiento de la
referida imagen se realizar´a en menos de 1.98 segundos para alcanzar el tiempo real.
En primer lugar, el algoritmo fue analizado por medio del entorno de programaci´on
MATLAB® con el fin de identificar los procesos m´as costosos computacionalmente para
optimizarlos. Adem´as, se realiz´o el estudio de una nueva forma de eliminaci´on de pixeles
en el an´alisis por medio de un pre-procesamiento con la intenci´on de reducir el tiempo de
ejecuci´on del algoritmo. Posteriormente, se analiz´o el proceso m´as costoso
computacionalmente y se propuso un dise˜no algor´ıtmico para mejorar la velocidad del
proceso. En segundo lugar, se realiz´o la s´ıntesis comportamental de la aplicaci´on
software con la finalidad de obtener una arquitectura hardware del sistema. La
arquitectura fue descrita utilizando el lenguaje de descripci´on de hardware Verilog.
Finalmente, el dise˜no se verific´o y valid´o mediante la herramienta ISim de Xilinx, a
trav´es del uso de testbenches, realizando la sintesis de la arquitectura dise˜nada sobre un
FPGA Virtex 4 utilizado el software ISE de la empresa Xilinx obteniendo una frecuencia
de operaci´on estimada de 69.4Mhz, que representa un 64% de mejora, respecto de la
referencia [1], llegando a procesar una imagen hiperespectral en 17.98 segundos. Sin
embargo, con esta frecuencia no es posible alcanzar el procesamiento en tiempo real
esperado utilizando la familia Virtex 4. La arquitectura dise˜nada, fue optimizada
utilizando paralelismo de operaciones, lo cual hace que se incremente el ´area de dise˜no,
excediendo el l´ımite de slices disponibles en el modelo Virtex 4 utilizando en la
referencia [1], por ello se identific´o mediante las hojas de datos de la familia Virtex que
el FPGA m´as id´oneo para soportar la arquitectura dise˜nada es la Virtex 7 modelo
XC7VX980T que supera los 71,096 slices que requiere la presente arquitectura,
obteniendo una frecuencia de operaci´on de 112.819MHz.<br>Tesis
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Danilova, Vera. "Linguistic support for protest event data collection." Doctoral thesis, Universitat Autònoma de Barcelona, 2015. http://hdl.handle.net/10803/374232.
Full textAbstract:
sta tesis aborda el problema de la cualidad de recopilación automática de datos sobre protestas y propone herramientas de extracción multilíngüe de atributos del evento de protesta para mejorar la calidad de la unidad de análisis. El trabajo incluye la exploración del estado de arte en los dominios de la recopilación automática de datos sobre protestas y la extracción multilíngüe de eventos. En la ausencia de una colección de datos multilíngües sobre protestas anotados por expertos para el aprendizaje supervisado nos enfocamos en el tratamiento de noticias multilíngües basado en patrones lingüísticos conectados a una jerarquía de conceptos relacionados con el evento de protesta. Las gramáticas y lexicones han sido elaborados según los estándares de GATE 8.0, y la jerarquía de conceptos ha sido formalizada en Protégé - 4.3.
El presenta trabajo contribuye al tratamiento automático de bases de datos sobre protestas con lo siguiente:
colección automática de un corpus de noticias relacionadas con el evento de protesta;
descripción formalizada del evento de protesta basada en un estudio detallado de un corpus de noticias multilíngües (en búlgaro, francés, polaco, ruso, español y sueco);
elaboración de patrones genéricos y lexicones multilíngües conectados a la jerarquía de conceptos que resuelve el problema de la ausencia de una colección de datos preanotados por expertos;
Los datos obtenidos pueden aplicarse, entre otros, en el monitoreo y análisis de protestas y la relacionada comunicación de usuarios en las redes sociales.<br>This thesis addresses the problem of automatic protest event collection quality and proposes the tools for multilingual protest feature extraction to improve the quality of analysis unit. This work includes the exploration of the state of the art in protest event data collection and multilingual event extraction. In the absence of a multilingual training dataset for supervised learning we focus on the rule-based approach to multilingual event extraction and connection of a domain concept hierarchy. Grammars and gazetteers have been elaborated in accordance with the standards of GATE 8.0, and the protest event hierarchy has been formalized using Protégé - 4.3.
The present work contributes to the automatic protest event data collection and coding by the following:
construction of a multilingual corpus of texts related to protest events;
a formalized description of the protest event concept on the basis of a detailed examination of a multilingual corpus of news headlines (Bulgarian, French, Polish, Russian, Spanish, Swedish);
elaboration of generic patterns and gazetteers for multilingual text processing, which helps to deal with the absence of a multilingual training set.
The obtained data can be applied among others for the monitoring and analysis of event-specific social networks’ response.
Books on the topic "Extraction de dates"
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Franza, Annarita, Johannes Mattes, and Giovanni Pratesi, eds. Collectio Mineralium. Firenze University Press, 2022. http://dx.doi.org/10.36253/978-88-5518-494-6.
Full textAbstract:
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. Firenze University Press, 2022. http://dx.doi.org/10.36253/978-88-5518-494-6c.
Full textAbstract:
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.
3
Luis, Fernández-Guerra y. Orbe. D. Juan Ruiz de Alarcón y Mendoza: Extracto con nuevos documentos y datos. [s.n.], 1989.
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4
Office, Great Britain Colonial. Queen Charlotte's Island: Return to an address of the Honourable the House of Commons, dated 16 June 1853 for, " Copies or extracts of correspondence relative to the discovery of gold at Queen Charlotte's Island". HMSO, 2001.
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Great Britain. Colonial Office. Queen Charlotte's Island: Further return to an address of the Honourable the House of Commons, dated 16 June 1853 for, " Copies or extracts of correspondence relative to the discovery of gold at Queen Charlotte's Island". HMSO, 2001.
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Board, Ontario Environmental Assessment. Order on costs: Proposal by the Municipality of Metropolitan Toronto to acquire property in the Town of Vaughan for the extraction of clay for the Keele Valley landfill site : dated at Toronto this 4th day of October, 1990. s.n, 1990.
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Board, Ontario Environmental Assessment. Decision and reasons for decision on costs: Proposal by the Municipality of Metropolitan Toronto to acquire property in the Town of Vaughan for the extraction of clay for the Keele Valley landfill site : dated at Toronto this 10th day of September, 1990. s.n, 1990.
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Lachniet, Matthew S., and Juan Pablo Bernal-Uruchurtu. AD 550–600 Collapse at Teotihuacan. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199329199.003.0006.
Full textAbstract:
We analyze a 2400-year rainfall reconstruction from an ultra-high-resolution absolutely-dated stalagmite (JX-6) from southwestern Mexico (Lachniet et al., 2012). Oxygen isotope variations correlate strongly to rainfall amount in the Mexico City area since 1870 CE, and for the wider southwestern Mexico region since 1948, allowing us to quantitatively reconstruct rainfall variability for the Basin of Mexico and Sierra Madre del Sur for the past 2400 years. Because oxygen isotopes integrate rainfall variations over broad geographic regions, our data suggest substantial variations in Mesoamerican monsoon strength over the past two millennia. As a result of low age uncertainties (≤ 11 yr), our stalagmite paleoclimate reconstruction allows us to place robust ages on past rainfall variations with a resolution an order of magnitude more precise than archeological dates associated with societal change. We relate our new rainfall reconstruction to the sequence of events at Teotihuacan (Millon, 1967; Cowgill, 2015a) and to other pre-Colombian civilizations in Mesoamerica. We observe a centuries long drying trend that culminated in peak drought conditions in ca. 750 CE related to a weakening monsoon, which may have been a stressor on Mesoamerican societies. Teotihuacan is an ideal location to test for links between climate change and society, because it was located in a semi-arid highland valley with limited permanent water sources, which relied upon spring fed irrigation to ensure a reliable maize harvest (Sanders, 1977). The city of Teotihuacan was one of the largest Mesoamerican cities, which apparently reached population sizes of 80,000 to 100,000 inhabitants by AD 300 (Cowgill, 1997; 2015a). Following the “Great Fire”, which dates approximately to AD 550, population decreased to lower levels and many buildings were abandoned (Cowgill, 2015). Because of the apparent reliance on rainwater capture (Linn é, 2003) and spring-fed agriculture in the Teotihuacan valley to ensure food security and drinking water, food production and domestic water supplies should have been sensitive to rainfall variations that recharge the surficial aquifer that sustained spring discharge prior recent groundwater extraction.
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A Reply to the report of the commission on fires in Pictou mines: Dated December 31st, 1895. s.n.], 1987.
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A Reply to the report of the commission on fires in Pictou mines: Dated December 31st, 1895. s.n.], 1987.
Find full textBook chapters on the topic "Extraction de dates"
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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. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0227.
Full textAbstract:
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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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Dates and Julian dates." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0020.
Full textAbstract:
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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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. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9339-0_2.
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Wittmann, W., and A. Maier. "Content Extraction und Information Retrieval multimedialer Daten." In Multimedia — Informationssysteme zwischen Bild und Sprache. Deutscher Universitätsverlag, 1999. http://dx.doi.org/10.1007/978-3-663-08207-1_15.
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Diaz, Jorge, David Ovallos-Gazabon, and Carlos Vargas Mercado. "Association Rules Extraction from Date’s Product Dataset Using the Apriori Algorithm." In Proceedings of International Conference on Big Data, Machine Learning and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4788-5_20.
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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. 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. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11345-2_7.
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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. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45657-6_54.
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Bohrer, Brandon, and André Platzer. "Constructive Game Logic." In Programming Languages and Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44914-8_4.
Full textAbstract:
AbstractGame Logic is an excellent setting to study proofs-about-programs via the interpretation of those proofs as programs, because constructive proofs for games correspond to effective winning strategies to follow in response to the opponent’s actions. We thus develop Constructive Game Logic, which extends Parikh’s Game Logic (GL) with constructivity and with first-order programs à la Pratt’s first-order dynamic logic (DL). Our major contributions include: 1. a novel realizability semantics capturing the adversarial dynamics of games, 2. a natural deduction calculus and operational semantics describing the computational meaning of strategies via proof-terms, and 3. theoretical results including soundness of the proof calculus w.r.t. realizability semantics, progress and preservation of the operational semantics of proofs, and Existential Properties on support of the extraction of computational artifacts from game proofs. Together, these results provide the most general account of a Curry-Howard interpretation for any program logic to date, and the first at all for Game Logic.
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Rentz, Niklas, Steven Smyth, Lewe Andersen, and Reinhard von Hanxleden. "Extracting Interactive Actor-Based Dataflow Models from Legacy C Code." In Diagrammatic Representation and Inference. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86062-2_37.
Full textAbstract:
AbstractGraphical actor-based models provide an abstract overview of the flow of data in a system. They are well-established for the model-driven engineering (MDE) of complex software systems and are supported by numerous commercial and academic tools, such as Simulink, LabVIEW or Ptolemy. In MDE, engineers concentrate on constructing and simulating such models, before application code (or at least a large fraction thereof) is synthesized automatically. However, a significant fraction of today’s legacy system has been coded directly, often using the C language. High-level models that give a quick, accurate overview of how components interact are often out of date or do not exist. This makes it challenging to maintain or extend legacy software, in particular for new team members.To address this problem, we here propose to reverse the classic synthesis path of MDE and to synthesize actor-based dataflow models automatically from source code. Here functions in the code get synthesized into nodes that represent actors manipulating data. Second, we propose to harness the modeling-pragmatic approach, which considers visual models not as static artefacts, but allows interactive, flexible views that also link back to textual descriptions. Thus we propose to synthesize actor models that can vary in level of detail and that allow navigation in the source code. To validate and evaluate our proposals, we implemented these concepts for C analysis in the open source, Eclipse-based KIELER project and conducted a small survey.
Conference papers on the topic "Extraction de dates"
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Raghu, Dinesh, Surag Nair, and Mausam . "Inferring Temporal Knowledge for Near-Periodic Recurrent Events." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/598.
Full textAbstract:
We define the novel problem of extracting and predicting occurrence dates for a class of recurrent events -- events that are held periodically as per a near-regular schedule (e.g., conferences, film festivals, sport championships). Knowledge-bases such as Freebase contain a large number of such recurring events, but they also miss substantial information regarding specific event instances and their occurrence dates. We develop a temporal extraction and inference engine to fill in the missing dates as well as to predict their future occurrences. Our engine performs joint inference over several knowledge sources -- (1) information about an event instance and its date extracted from text by our temporal extractor, (2) information about the typical schedule (e.g., ``every second week of June") for a recurrent event extracted by our schedule extractor, and (3) known dates for other instances of the same event. The output of our system is a representation for the event schedule and an occurrence date for each event instance. We find that our system beats humans in predicting future occurrences of recurrent events by significant margins. We release our code and system output for further research.
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Schimerl, Nicolas, Pia Patrizia Weber, and Thomas Stöllner. "RETHINKING THE ANALOGUE – FROM VIRTUAL ARCHAEOLOGY TO A DIGITAL EXHIBITION." In VIRTUAL ARCHAEOLOGY. SIBERIAN FEDERAL UNIVERSITY, 2021. http://dx.doi.org/10.17516/sibvirarch-003.
Full textAbstract:
In 1993, workers discovered a mummified human head during exploitation in the salt mine of Chehrābād, Province of Zanjān, Iran (Vatandoust 1998). This find marks the beginning of more than 20 years of international and interdisciplinary research. The mummified head dates to Sassanian times and is known to the world today as “Salt Man 1”. The salt extraction in Chehrābād continued until 2009 and led to the discovery of further mummified human remains, which were, in accordance to the first find, named “Salt Men of Zanjān”. These salt mummies as well as the site are a unique cultural heritage for humankind. In 2004, archaeologists made an exceptional discovery during a rescue excavation. This find, the mummy of a 15 to 16-year-old youth, is – to date – the best-preserved salt mummy known worldwide (Aali 2005). In 2007 an international research project started, co-headed by the German Mining Museum Bochum and the Zanjān Saltman and Archaeological Museum. All these efforts led to the halt of the commercial exploitation of the salt mine in 2009. Subsequently, the salt mine was declared a cultural heritage site (Aali et al. 2012). In multiple excavation campaigns not only the salt mine itself, but also its surrounding area were studied thoroughly. The results of these joint efforts were published in two monographs (Aali, Stöllner 2015; Stöllner, Aali, Bagherpour Kashani 2020) and various further articles (e.g. Aali et al. 2012;Öhrström et al. 2016; Pollard et al. 2008; Ramaroli et al. 2010; Vahdati Nasab et al. 2019)
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Khan, Mohd Jawed, and Pankaj Pratap Singh. "Road Extraction from Remotely Sensed Data: A Review." In Intelligent Computing and Technologies Conference. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.115.14.
Full textAbstract:
Up-to-date road networks are crucial and challenging in computer vision tasks. Road extraction is yet important for vehicle navigation, urban-rural planning, disaster relief, traffic management, road monitoring and others. Road network maps facilitate a great number of applications in our everyday life. Therefore, a systematic review of deep learning approaches applied to remotely sensed imagery for road extraction is conducted in this paper. Four main types of deep learning approaches, namely, the GANs model, deconvolutional networks, FCNs, and patch-based CNNs models are presented in this paper. We also compare these various deep learning models applied to remotely sensed imagery to show their performances in extracting road parts from high-resolution remote sensed imagery. Later future research directions and research gaps are described.
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Mandal, Ranju, Partha Pratim Roy, and Umapada Pal. "Bangla date field extraction in offline handwritten documents." In Proceeding of the workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2432553.2432561.
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Mandal, Ranju, Partha Pratim Roy, Umapada Palz, and Michael Blumenstein. "Date field extraction from handwritten documents using HMMs." In 2015 13th International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2015. http://dx.doi.org/10.1109/icdar.2015.7333885.
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Pereda, Ray, and Kazem Taghva. "Date of birth extraction using precise shallow parsing." In IS&T/SPIE Electronic Imaging, edited by Laurence Likforman-Sulem and Gady Agam. SPIE, 2010. http://dx.doi.org/10.1117/12.839546.
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Smail, Timothy R., Annamarie M. Herb, and Monica C. Hall. "Stabilization of Underground Solvent Storage Tanks." In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-4786.
Full textAbstract:
The Old Solvent Tanks (OST), located at the Savannah River Site (SRS) Old Radioactive Waster Burial Ground (ORWBG), are comprised of 22 underground storage tanks that were used to store spent radioactive solvent and aqueous wastes generated from the plutonium-uranium extraction (PUREX) process. The OSTs were installed at various dates between 1955 and 1968 and used to store the spent solvents until 1974. The spent solvents stored in the OSTs were transferred out from 1976 through 1981 leaving only residual liquids and sludges that could not be pumped out. Final remediation goals for the ORWBG include an overlying infiltration control system. If the tanks were to structurally fail, they would collapse causing potential for onsite worker exposure and release of tank contents to the environment. Therefore, as an interim action, methods for stabilizing the tanks were evaluated. The preferred remedial action was “Grouting of the Tank Wastes In-situ.” The primary function of the grout is to provide structural stability of the tanks by filling void space with material that prevents tank collapse. Incidental to any mixing that may occur, residual material in the tanks will be incorporated into the grouting mixture. The incidental grouting will ultimately improve environmental protection by rendering the residual material immobile. To accomplish this task, the SRS Environmental Restoration Division (ERD) teamed with the Savannah River Technology Center (SRTC) to determine a remedial design strategy and to translate this strategy into a construction specification and drawings for implementation. The OST remedial design strategy contained the following key aspects for performance requirements and acceptance criteria: • Grout mix; • Tank atmosphere testing; • Grout delivery system and camera monitoring system; • Off-Gas HEPA filter system and environmental monitoring; • OST Sealing and labeling. From November 2001 through February 2003 all 22 Old Solvent Tanks were successfully stabilized. This paper will discuss the systems designed to perform and monitor the grouting operation, the grouting process, and the radiological controls and wastes associated with grouting the Old Solvent Tanks.
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S. Hagh Nazary, M. Entezari, A. Hagh Nazari, and J.Weiss. "DIRECT ULTRASONICATION EFFECT ON THE EXTRACTION OF DATE SYRUP." In 2005 Tampa, FL July 17-20, 2005. American Society of Agricultural and Biological Engineers, 2005. http://dx.doi.org/10.13031/2013.19558.
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Jurafsky, Dan. "It's not you, it's me: Automatically extracting social meaning from speed dates." In Understanding (ASRU). IEEE, 2009. http://dx.doi.org/10.1109/asru.2009.5373494.
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Kulinich, R. A. "Quality of Crambe abyssinica Hochst. oil cultivated in the Crimea." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-31.
Full textAbstract:
The research was aimed at assessing oil quality obtained from Crambe abyssinica Hochst. cultivated in the Crimea. In our studies, we used variety ‘Polet’. It has been included in the State Register of Breeding Achievements since 2012 and is recommended for all areas of this crop production. The content of crude protein in the seeds of Crambe abyssinica was 28.0%; fiber – 18.7%, ash – 6.0%, nitrogen-free extractive substances – 3.5%. In 2016, the fat content in seeds (earlier planting dates such as the second decade of March) amounted to 33.63%; the third decade of March – 33.83%; the first decade of April – 29.73%. The content of erucic acid, depending on the planting date, in the Crambe abyssinica Hochst. oil varied from 56.47 to 60.05%; linoleic – from 7.90 to 8.12%; linolenic – from 4.67 to 5.33; oleic – from 15.75 to 17.32; eicosene – from 3.02 to 4.85%; behenic – from 2.03 to 2.15%.
Reports on the topic "Extraction de dates"
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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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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), 2018. http://dx.doi.org/10.2172/1488917.
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Stall, Nathan M., Kevin A. Brown, Antonina Maltsev, et al. COVID-19 and Ontario’s Long-Term Care Homes. Ontario COVID-19 Science Advisory Table, 2021. http://dx.doi.org/10.47326/ocsat.2021.02.07.1.0.
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Key Message Ontario long-term care (LTC) home residents have experienced disproportionately high morbidity and mortality, both from COVID-19 and from the conditions associated with the COVID-19 pandemic. There are several measures that could be effective in preventing COVID-19 outbreaks, hospitalizations, and deaths in Ontario’s LTC homes, if implemented. First, temporary staffing could be minimized by improving staff working conditions. Second, homes could be further decrowded by a continued disallowance of three- and four-resident rooms and additional temporary housing for the most crowded homes. Third, the risk of SARS-CoV-2 infection in staff could be minimized by approaches that reduce the risk of transmission in communities with a high burden of COVID-19. Summary Background The Province of Ontario has 626 licensed LTC homes and 77,257 long-stay beds; 58% of homes are privately owned, 24% are non-profit/charitable, 16% are municipal. LTC homes were strongly affected during Ontario’s first and second waves of the COVID-19 pandemic. Questions What do we know about the first and second waves of COVID-19 in Ontario LTC homes? Which risk factors are associated with COVID-19 outbreaks in Ontario LTC homes and the extent and death rates associated with outbreaks? What has been the impact of the COVID-19 pandemic on the general health and wellbeing of LTC residents? How has the existing Ontario evidence on COVID-19 in LTC settings been used to support public health interventions and policy changes in these settings? What are the further measures that could be effective in preventing COVID-19 outbreaks, hospitalizations, and deaths in Ontario’s LTC homes? Findings As of January 14, 2021, a total of 3,211 Ontario LTC home residents have died of COVID-19, totaling 60.7% of all 5,289 COVID-19 deaths in Ontario to date. There have now been more cumulative LTC home outbreaks during the second wave as compared with the first wave. The infection and death rates among LTC residents have been lower during the second wave, as compared with the first wave, and a greater number of LTC outbreaks have involved only staff infections. The growth rate of SARS-CoV-2 infections among LTC residents was slower during the first two months of the second wave in September and October 2020, as compared with the first wave. However, the growth rate after the two-month mark is comparatively faster during the second wave. The majority of second wave infections and deaths in LTC homes have occurred between December 1, 2020, and January 14, 2021 (most recent date of data extraction prior to publication). This highlights the recent intensification of the COVID-19 pandemic in LTC homes that has mirrored the recent increase in community transmission of SARS-CoV-2 across Ontario. Evidence from Ontario demonstrates that the risk factors for SARS-CoV-2 outbreaks and subsequent deaths in LTC are distinct from the risk factors for outbreaks and deaths in the community (Figure 1). The most important risk factors for whether a LTC home will experience an outbreak is the daily incidence of SARS-CoV-2 infections in the communities surrounding the home and the occurrence of staff infections. The most important risk factors for the magnitude of an outbreak and the number of resulting resident deaths are older design, chain ownership, and crowding. Figure 1. Anatomy of Outbreaks and Spread of COVID-19 in LTC Homes and Among Residents Figure from Peter Hamilton, personal communication. Many Ontario LTC home residents have experienced severe and potentially irreversible physical, cognitive, psychological, and functional declines as a result of precautionary public health interventions imposed on homes, such as limiting access to general visitors and essential caregivers, resident absences, and group activities. There has also been an increase in the prescribing of psychoactive drugs to Ontario LTC residents. The accumulating evidence on COVID-19 in Ontario’s LTC homes has been leveraged in several ways to support public health interventions and policy during the pandemic. Ontario evidence showed that SARS-CoV-2 infections among LTC staff was associated with subsequent COVID-19 deaths among LTC residents, which motivated a public order to restrict LTC staff from working in more than one LTC home in the first wave. Emerging Ontario evidence on risk factors for LTC home outbreaks and deaths has been incorporated into provincial pandemic surveillance tools. Public health directives now attempt to limit crowding in LTC homes by restricting occupancy to two residents per room. The LTC visitor policy was also revised to designate a maximum of two essential caregivers who can visit residents without time limits, including when a home is experiencing an outbreak. Several further measures could be effective in preventing COVID-19 outbreaks, hospitalizations, and deaths in Ontario’s LTC homes. First, temporary staffing could be minimized by improving staff working conditions. Second, the risk of SARS-CoV-2 infection in staff could be minimized by measures that reduce the risk of transmission in communities with a high burden of COVID-19. Third, LTC homes could be further decrowded by a continued disallowance of three- and four-resident rooms and additional temporary housing for the most crowded homes. Other important issues include improved prevention and detection of SARS-CoV-2 infection in LTC staff, enhanced infection prevention and control (IPAC) capacity within the LTC homes, a more balanced and nuanced approach to public health measures and IPAC strategies in LTC homes, strategies to promote vaccine acceptance amongst residents and staff, and further improving data collection on LTC homes, residents, staff, visitors and essential caregivers for the duration of the COVID-19 pandemic. Interpretation Comparisons of the first and second waves of the COVID-19 pandemic in the LTC setting reveal improvement in some but not all epidemiological indicators. Despite this, the second wave is now intensifying within LTC homes and without action we will likely experience a substantial additional loss of life before the widespread administration and time-dependent maximal effectiveness of COVID-19 vaccines. The predictors of outbreaks, the spread of infection, and deaths in Ontario’s LTC homes are well documented and have remained unchanged between the first and the second wave. Some of the evidence on COVID-19 in Ontario’s LTC homes has been effectively leveraged to support public health interventions and policies. Several further measures, if implemented, have the potential to prevent additional LTC home COVID-19 outbreaks and deaths.