Relevant bibliographies by topics / Quantification

Academic literature on the topic 'Quantification'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 July 2024

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Journal articles on the topic "Quantification"

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Gierasimczuk, N., and J. Szymanik. "Branching Quantification v. Two-way Quantification." Journal of Semantics 26, no. 4 (July 27, 2009): 367–92. http://dx.doi.org/10.1093/jos/ffp008.

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Koeva, Svetla. "Verb aspect, alternations and quantification." Cognitive Studies | Études cognitives, no. 11 (November 24, 2015): 125–34. http://dx.doi.org/10.11649/cs.2011.007.

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Verb aspect, alternations and quantificationIn this paper we are briefly discuss the nature of Bulgarian verb aspect and argue that the verb aspect pairs are different lexical units with different (although related) meaning, different argument structure (reflecting categories, explicitness and referential status of arguments) and different sets of semantic and syntactic alternations. The verb prefixes resulting in perfective verbs derivation in some cases can be interpreted as lexical quantifiers as well. Thus the Bulgarian verb aspect is related (in different way) both with the potential for the generation of alternations and with the prefixal lexical quantification. It is shown that the scope of the lexical quantification by means of verbal prefixes is the quantified verb phrase and the scope remains constant in all derived alternations. The paper concerns the basic issues of these complex problems, while the detailed description of the conditions satisfying particular alternation or particular lexical quantification are subject of a more detailed study.
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Syauqi, Ahmad, Muhamad Fuadi, and Hari Santoso. "Comparative Study of References and Protein Quantifications Using Biuret-Spectrophotometric Method." Chimica et Natura Acta 6, no. 2 (August 26, 2018): 42. http://dx.doi.org/10.24198/cna.v6.n2.19224.

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Comparison between the references and the quantification of biuret standard curves can be performed using statistical methods. The objective of this study was to select a method of protein quantification of the biuret-spectrophotometric based on the similar standard curve of the compound. The study used experimental methods in the laboratory and references from a comparative scheme of mean that has categories of statistics called academic and practical terms. Two standard curves were tested with the reference data. The academic way was performed with a comparison of 11.779-12.401% confidence, and the quantification of the results of the protein mean of 8.211% and 10.17% showed no significant difference. The practical methods were carried out with the original reference data of 10.8-12.8%, and the result of the test confidence values of 9.163-11.180% and 7.596-8.826% showed different accuracy results. The quantifications of the protein biuret method displayed different results on how to compare according to academic and practical ways. The quantification method using the Biuret-spectrophotometric practical way shows accuracy by a certain standard curve compared with the original values of references.
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Cacuci, Dan Gabriel. "Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems." Energies 15, no. 17 (September 1, 2022): 6379. http://dx.doi.org/10.3390/en15176379.

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The Special Issue “Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems” comprises nine articles that present important applications of concepts for performing sensitivity analyses and uncertainty quantifications of models of nuclear energy systems [...]
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Saltelli, Andrea. "Ethics of quantification or quantification of ethics?" Futures 116 (February 2020): 102509. http://dx.doi.org/10.1016/j.futures.2019.102509.

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Du, Zhe, and Sebastian F. Behrens. "Effect of target gene sequence evenness and dominance on real-time PCR quantification of artificial sulfate-reducing microbial communities." PLOS ONE 19, no. 3 (March 7, 2024): e0299930. http://dx.doi.org/10.1371/journal.pone.0299930.

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Quantitative real-time PCR of phylogenetic and functional marker genes is among the most commonly used techniques to quantify the abundance of microbial taxa in environmental samples. However, in most environmental applications, the approach is a rough assessment of population abundance rather than an exact absolute quantification method because of PCR-based estimation biases caused by multiple factors. Previous studies on these technical issues have focused on primer or template sequence features or PCR reaction conditions. However, how target gene sequence characteristics (e.g., evenness and dominance) in environmental samples affect qPCR quantifications has not been well studied. Here, we compared three primer sets targeting the beta subunit of the dissimilatory sulfite reductase (dsrB) to investigate qPCR quantification performance under different target gene sequence evenness and dominance conditions using artificial gBlock template mixtures designed accordingly. Our results suggested that the qPCR quantification performance of all tested primer sets was determined by the comprehensive effect of the target gene sequence evenness and dominance in environmental samples. Generally, highly degenerate primer sets have equivalent or better qPCR quantification results than a more target-specific primer set. Low template concentration in this study (~105 copies/L) will exaggerate the qPCR quantification results difference among tested primer sets. Improvements to the accuracy and reproducibility of qPCR assays for gene copy number quantification in environmental microbiology and microbial ecology studies should be based on prior knowledge of target gene sequence information acquired by metagenomic analysis or other approaches, careful selection of primer sets, and proper reaction conditions optimization.
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Ernst, Oliver, Fabio Nobile, Claudia Schillings, and Tim Sullivan. "Uncertainty Quantification." Oberwolfach Reports 16, no. 1 (February 26, 2020): 695–772. http://dx.doi.org/10.4171/owr/2019/12.

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Castanié, Francis. "Quantification aléatoire." Annales des Télécommunications 41, no. 5-6 (May 1986): 235–45. http://dx.doi.org/10.1007/bf02998629.

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Mikolaj, Jan. "Risks Quantification." Communications - Scientific letters of the University of Zilina 4, no. 4 (December 31, 2002): 5–12. http://dx.doi.org/10.26552/com.c.2002.4.5-12.

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Unterberger, A. "Quantification relativiste." Mémoires de la Société mathématique de France 1 (1991): 1–215. http://dx.doi.org/10.24033/msmf.350.

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Dissertations / Theses on the topic "Quantification"

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Endriss, Cornelia, and Stefan Hinterwimmer. "Quantificational Variability Effects with plural definites : quantification over individuals or situations?" Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2008/1951/.

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In this paper we compare the behaviour of adverbs of frequency (de Swart 1993) like usually with the behaviour of adverbs of quantity like for the most part in sentences that contain plural definites. We show that sentences containing the former type of Q-adverb evidence that Quantificational Variability Effects (Berman 1991) come about as an indirect effect of quantification over situations: in order for quantificational variability readings to arise, these sentences have to obey two newly observed constraints that clearly set them apart from sentences containing corresponding quantificational DPs, and that can plausibly be explained under the assumption that quantification over (the atomic parts of) complex situations is involved. Concerning sentences with the latter type of Q-adverb, on the other hand, such evidence is lacking: with respect to the constraints just mentioned, they behave like sentences that contain corresponding quantificational DPs. We take this as evidence that Q-adverbs like for the most part do not quantify over the atomic parts of sum eventualities in the cases under discussion (as claimed by Nakanishi and Romero (2004)), but rather over the atomic parts of the respective sum individuals.
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Herbelot, Aurelie. "Underspecified quantification." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609091.

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Endriss, Cornelia, and Stefan Hinterwimmer. "The influence of tense in adverbial quantification." Universität Potsdam, 2004. http://opus.kobv.de/ubp/volltexte/2006/840/.

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We argue that there is a crucial difference between determiner and adverbial quantification. Following Herburger [2000] and von Fintel [1994], we assume that determiner quantifiers quantify over individuals and adverbial quantifiers over eventualities. While it is usually assumed that the semantics of sentences with determiner quantifiers and those with adverbial quantifiers basically come out the same, we will show by way of new data that quantification over events is more restricted than quantification over individuals. This is because eventualities in contrast to individuals have to be located in time which is done using contextual information according to a pragmatic resolution strategy. If the contextual information and the tense information given in the respective sentence contradict each other, the sentence is uninterpretable. We conclude that this is the reason why in these cases adverbial quantification, i.e. quantification over eventualities, is impossible whereas quantification over individuals is fine.
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Aḵẖtar, ʻAlī. "Identity and quantification." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/15146.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 1985.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND HUMANITIES
Vita.
Includes bibliographical references.
by Ali Akhtar.
Ph.D.
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Basilico, David Anthony. "Quantification and locality." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186305.

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This dissertation develops a transformational theory of scope which is based not on the position to which an entire quantificational noun phrase (QNP) can move and adjoin but on the position and to which a quantificational determiner can move and adjoin. Following Heim (1982), a tripartite representation for sentences containing QNPs is adopted in which quantificational determiners move out of their containing noun phrases and adjoin to the sentence node at the level of Logical Form (LF). By utilizing this type of representation, asymmetries between the movement possibilities of a phrase and scope possibilities of a phrase can be captured. This dissertation argues that movement of an operator is free but constrained by the operator acquiring the selection index of the phrase which it binds. The selection index is percolated up the tree in a series of local relationships (government, specifier/head and X-Bar). This index percolation is dependent on the ability of a syntactic head to acquire an index. The necessity of this index percolation approach is demonstrated in the first chapter, which investigates the phenomenon of unselective binding between an adverbial operator and indefinite in restrictive 'if/when' clauses. It shows that this relationship is sensitive to some syntactic islands but not others. It demonstrates that the index percolation approach is the best way to capture the selective island sensitivities of this phenomenon. Additional motivation for this account is given in chapter two, which deals with internally headed relative clauses (IHRCs). Several parallels between IHRCs and restrictive 'if/when' clauses are noted. It shows that the binding of the internal head by the determiner associated with the IHRC is similar to the binding of an indefinite by an adverbial operator. The next two chapters treat the phenomenon of partial Wh-movement. These chapters further show the application of the index percolation account because they argue that the relationships noted above between an adverbial operator and indefinite and operator and internal head are analogous to the relationship between a partially moved WH-Phrase and the sentence initial scope marker. In chapter six, the scope of quantified possessive phrases in English is examined. This is a case where movement of a phrase and scope of a phrase sharply differ. The approach where the determiner of the possessive is moved alone, with index percolation from the phrase in the specifier position to the moved determiner, is shown to best handle these cases.
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Bui, Huy Q. "Quantification, opacity and modality." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ65025.pdf.

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Cameron, Lee R. J. "Aerosol explosion hazard quantification." Thesis, Cardiff University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311674.

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Jiang, Yan. "Logical dependency in quantification." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306968.

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Sved, Sofia. "Quantification of Model Rrisk." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-243924.

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The awareness of model risk has increased due to the increased use of models to valuate financial instruments and their increasing complexity and regulators now require financial institutions to manage it. Despite this, there is still no industry or market standard when it comes to the quantification of model risk. The objective with this project is to find and implement a method that may be used to quantify model risk and evaluate it based on accuracy, efficiency and generalizability. Several approaches to model risk in the literature are explored in this thesis and it is concluded that existing methods are generally not efficient, accurate or generalizable. However, by combining two of the existing methods in the literature and using data on counterparty valuations, another method to quantify model risk can be constructed. This method is implemented and backtested and it is found to be accurate, general and more efficient than alternative approaches. Furthermore, this method may also serve in model validation as a mean to judge the quality of valuations and compare valuation models to each other. One limitation of the method is that if there are few counterparties for a valuation model, say 1 or 2, the method used in this thesis is not suitable.
Medvetenheten kring modellrisk har ökat på grund av ökad användning av modeller vid värdering av finansiella instrument samt deras ökande komplexitet. Dessutom begär nu regulatorer att institutioner ska beräkna samt redogöra för modellrisk. Trots detta finns ännu ingen bransch eller marknadsstandard när det kommer till hur modellrisk bör kvantifieras. Syftet med projektet är att hitta och implementera en metod som kan användas för att kvantifiera modellrisk samt utvärdera denna baserat på effektivitet, noggrannhet och generaliserbarhet. I den här uppsatsen har flera olika tillvägagångssätt i litteraturen för att kvantifiera modellrisk utvärderats med slutsatsen att befintliga metoder i allmänhet varken är effektiva, korrekta eller generaliserbara. Däremot, genom att kombinera två av de befintliga metoderna i litteraturen och använda data om motpartsvärderingar kan en annan metod för att kvantifiera modellrisken konstrueras. Denna metod implementeras och backtestas och den visar sig vara noggrann, generaliserbar och effektivare än de alternativa metoderna vilket var vad som eftersöktes. Vidare kan denna metod också tjäna i modellvalidering som ett medel för att bedöma hur väl värderingar från en viss modell överensstämmer med marknadens värderingar samt för att jämföra värderingsmodeller med varandra. En begränsning som kan identifieras för denna metod är att om det finns få motparter till en värderingsmodell, säg 1 eller 2, är metoden som används i denna uppsats inte lämplig för att kvantifiera modellrisk.
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Ferreira, Marcelo (Marcelo Barra). "Event quantification and plurality." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33697.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 2005.
Includes bibliographical references (p. 131-138).
This dissertation presents three studies based on the hypothesis that the domain of entities on which natural language interpretation relies includes a partially ordered sub-domain of events. In this sub-domain, we can identify singular and plural elements, the latter being characterizable as mereological sums having singular events as their minimal parts. I discuss how event variables ranging over pluralities are introduced in the logical representation of natural languages sentences and how event operators manipulate these variables. Logical representations are read off syntactic structures, and among the elements I will claim are hidden in the syntactic representation of certain sentences are plural definite descriptions of events and event quantifiers selectively binding plural variables. My goal will be to motivate the postulation of these elements by showing how reference to pluralities of events shed light on several properties of a variety of constructions, and how interpretive differences originated in singular/plural oppositions overtly manifested in the nominal domain are replicated in the aspectual/verbal domain, even in the absence of any overt morphological manifestation.
(cont.) The empirical domain of investigation includes adverbial quantification, donkey anaphora and imperfective aspect, with both habitual and progressive readings being analyzed in detail.
by Marcelo Ferreira.
Ph.D.
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Books on the topic "Quantification"

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Quantification. Cambridge: Cambridge University Press, 2010.

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France, Société mathématique de, ed. Quantification relativiste. Montrouge: Société Mathématique de France, 1991.

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Condamin, Laurent. Risk Quantification. New York: John Wiley & Sons, Ltd., 2007.

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Ferré, François, ed. Gene Quantification. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-4164-5.

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Soize, Christian. Uncertainty Quantification. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54339-0.

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Condamin, Laurent, Jean-Paul Louisot, and Patrick Naïm, eds. Risk Quantification. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119209331.

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François, Ferré, ed. Gene quantification. Boston: Birkhäuser, 1997.

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Nishisato, Shizuhiko, Eric J. Beh, Rosaria Lombardo, and Jose G. Clavel. Modern Quantification Theory. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2470-4.

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Hamm, Fritz, and Erhard Hinrichs, eds. Plurality and Quantification. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-2706-8.

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Melaragno, Michele. Quantification in Science. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-6524-2.

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Book chapters on the topic "Quantification"

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Haschke, Michael. "Quantification." In Laboratory Micro-X-Ray Fluorescence Spectroscopy, 157–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04864-2_4.

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Jones, Charles. "Quantification." In Studies in Linguistics and Philosophy, 172–200. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3478-1_5.

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Gries, David, and Fred B. Schneider. "Quantification." In A Logical Approach to Discrete Math, 139–56. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4757-3837-7_9.

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Gutiérrez-Rexach, Javier. "Quantification." In The Handbook of Hispanic Linguistics, 307–32. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118228098.ch16.

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Peregrin, Jaroslav. "Quantification." In Doing Worlds with Words, 76–105. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8468-5_5.

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Wilde, Douglass J. "Quantification." In Jung’s Personality Theory Quantified, 17–21. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-100-4_3.

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Dutilh Novaes, Catarina, Cecilia Martini Bonadeo, and Cecilia Martini Bonadeo. "Quantification." In Encyclopedia of Medieval Philosophy, 1093–96. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-1-4020-9729-4_425.

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Novaes, Catarina Dutilh. "Quantification." In Encyclopedia of Medieval Philosophy, 1625–29. Dordrecht: Springer Netherlands, 2020. http://dx.doi.org/10.1007/978-94-024-1665-7_425.

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Çalışkan, Ahmet Selami. "Quantification." In Homo Faber and Homo Economicus in the Scientific Revolution, 36–78. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003275756-4.

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Iacona, Andrea. "Quantification." In LOGIC: Lecture Notes for Philosophy, Mathematics, and Computer Science, 99–108. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64811-4_11.

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Conference papers on the topic "Quantification"

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Milli, Letizia, Anna Monreale, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, and Fabrizio Sebastiani. "Quantification Trees." In 2013 IEEE International Conference on Data Mining (ICDM). IEEE, 2013. http://dx.doi.org/10.1109/icdm.2013.122.

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Clarkson, Michael R., and Fred B. Schneider. "Quantification of Integrity." In 2010 IEEE 23rd Computer Security Foundations Symposium (CSF). IEEE, 2010. http://dx.doi.org/10.1109/csf.2010.10.

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Wang, Bin, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, and Guangquan Zhang. "Deep Uncertainty Quantification." In KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3292500.3330704.

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Da San Martino, Giovanni, Wei Gao, and Fabrizio Sebastiani. "Ordinal Text Quantification." In SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2911451.2914749.

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Huebner, S., B. V. Stackelberg, and T. Fuchs. "Multimodal Defect Quantification." In 2010 Quantitative InfraRed Thermography. QIRT Council, 2010. http://dx.doi.org/10.21611/qirt.2010.057.

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Castagna, Giuseppe, and Benjamin C. Pierce. "Decidable bounded quantification." In the 21st ACM SIGPLAN-SIGACT symposium. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/174675.177844.

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Ebrahim-Trollope, R., and Yolande Jooste. "Seismic Hazard Quantification." In Sixth International Symposium on Rockburst and Seismicity in Mines. Australian Centre for Geomechanics, Perth, 2005. http://dx.doi.org/10.36487/acg_repo/574_12.

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Crouch, Richard. "Ellipsis and quantification." In the seventh conference. Morristown, NJ, USA: Association for Computational Linguistics, 1995. http://dx.doi.org/10.3115/976973.977006.

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Potesil, Vaclav, and Xiang Sean Zhou. "Statistical image quantification toward optimal scan fusion and change quantification." In Medical Imaging, edited by Maryellen L. Giger and Nico Karssemeijer. SPIE, 2007. http://dx.doi.org/10.1117/12.710320.

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Gounis, Matthew J., Baruch B. Lieber, Keith A. Webster, Bernard J. Wasserlauf, Howard M. Prentice, and Ajay K. Wakhloo. "Angiographic Quantification of Angiogenesis." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-43196.

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Therapeutic angiogenesis is the attempt to increase vascular density by means of an exogenously administered proangiogenic agent and offers a potential treatment for diseases associated with tissue ischemia. Vascular endothelial growth factor (VEGF) expressed by gene therapy has been shown to be a potent stimulator of angiogenesis and to improve the function of ischemic tissues in patients [Isner, 1998]. Unregulated gene therapy is disconcerting since there is no assurance that the treatment will target the ischemic territory. A new regulated adeno-associated viral vector expressing VEGF165 that is conditionally silenced has been developed by one of the authors (KAW). The transgene expression is regulated by silencing the genes in the absence of the disease and at the same time having strong and local activation in the presence of the disease. The purpose of this work is to establish protocols and techniques to quantify the efficacy of therapeutic angiogenesis. The initial phase of this research involves assessment of angiogenesis using an unregulated, adenoviral vector that is encoded to express VEGF165. Using the rabbit hind limb ischemia model, angiography was performed on animals that were given the proangiogenic treatment and on a sham group, in which phosphate buffered saline (PBS) was injected. Angiographic contrast intensity curves were obtained, modeled, and the optimized model parameters provided insight into flow characteristics within the targeted vascular bed. In the second phase of the project the conditionally silent vector will be employed using the developed protocols and methods of the first phase to afford comparisons with the previous groups.
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Reports on the topic "Quantification"

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Konolige, Kurt. Quantification in Autoepistemic Logic. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada461025.

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Belliveau, A., R. Tunuguntla, and A. Noy. Carbon nanotube sizing and quantification. Office of Scientific and Technical Information (OSTI), May 2014. http://dx.doi.org/10.2172/1132015.

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Urban, Nathan Mark. Climate Uncertainty Quantification at LANL. Office of Scientific and Technical Information (OSTI), April 2016. http://dx.doi.org/10.2172/1250690.

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Gaines, William L., Richy J. Harrod, and John F. Lehmkuhl. Monitoring biodiversity: quantification and interpretation. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1999. http://dx.doi.org/10.2737/pnw-gtr-443.

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Marina, Oana. Microwave digestion and quantification procedure. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1669075.

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Thiagarajan, J. Uncertainty Quantification in Scientific ML. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1670557.

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Stracuzzi, David, Maximillian Chen, Michael Darling, Matthew Peterson, and Charlie Vollmer. Uncertainty Quantification for Machine Learning. Office of Scientific and Technical Information (OSTI), June 2017. http://dx.doi.org/10.2172/1733262.

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Karpius, Peter. Nuclide Identification, Quantification, and Uncertainty. Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1782632.

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Seifried, Jeffrey E. Adjoint-Based Uncertainty Quantification with MCNP. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1110395.

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10

Srinivasan, Gowri. Need for Uncertainty Quantification in Predictions. Office of Scientific and Technical Information (OSTI), July 2015. http://dx.doi.org/10.2172/1191117.

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